unhandled error message: EE:[lsoda] 70000 steps taken before reaching tout. Error: could not solve the system

[jfndiaye]

Hi everyone,
I'm new in the R computation area. Now I'm trying to run a cardiorenal model already made by Hallow et al by using rxode2 instead of RxODE (since I had trouble installing RxODE on my M1 mac). When I try to run the program, I get the following error message :

x <- mod1$run(theta, ev, inits=inits)
unhandled error message: EE:[lsoda] 70000 steps taken before reaching tout
 @(lsoda.c:750
Error: could not solve the system

Any idea for this kind of problem would be appreciated.
Thanks

[john-harrold]

Hello jfndiaye

Can you attach a script with the code you are trying to run? It will make it a lot easier to debug.

[jfndiaye]

Codes are in the .txt files.
calcNomParams_human.txt
main.txt
model_struct.txt

[billdenney]

@jfndiaye, Do you know if the model ran on RxODE but it is not running on rxode2? Or, did it have similar issues in RxODE?

[jfndiaye]

Hi @billdenney it's a model that I have taken in the supplementary materials here https://journals.physiology.org/doi/suppl/10.1152/ajprenal.00202.2018 so I just hope it ran with RxODE. Maybe I should check with the author if it has some issues.

[jfndiaye]

I have just modified the line theta=calcNomParams_human() by theta=unlist(calcNomParams_human()) in the main file, for me to avoid the error of calling the parameters to solve the problem.

[mattfidler]

Hi @jfndiaye

I also am having an issue reproducing the simulation with the current rxode2() .

It may take some time to figure out the differences between the version of RxODE where this works and the current version of rxode2(), you can simply use the archived RxODE where this works.

One way to figure out what version that is is to check the R version that the paper is using (R 3.1.2) which predates the CRAN release of RxODE. So using the first released version of RxODE by:

devtools::install_version("RxODE", version = "0.5-1")

With this version the script works.

Expand the details to see the code and results

#library(rxode2)
#devtools::install_version("RxODE", version = "0.5-1")
library(RxODE)
library(minpack.lm) # library for least squares fit using levenberg-marquart algorithm

### From model_struct.R
############################## Define model structure ##########################
ode <- " 

  #Disease effects on nephrons
  
 

    #For now we limit glomeruli loss to 30% of Kf damage - somewhat arbitrary
    number_of_functional_glomeruli = baseline_nephrons*(1 - 0.3*disease_effects_decreasing_Kf);
    
  # Assume that other nephrons are lost due to tubular effects, which do not affect the glomerulus
    number_of_functional_tubules = baseline_nephrons*(1-disease_effect_on_nephrons);


  ######################Systemic Hemodynamics #####################################
  
  ######Calculation of Systemic Vascular Resistance
  #Systemic vascular resistance is a nominal value modulated by AngII and by a regulatory signal for tissue autoregulation necessary to maintain constant organ blood flow
  
  ###Whole body autoregulation mechanism wherein TPR adjusts to maintain constant organ blood flow (and thus constant cardiac output)
  #Modeled as Proportional-Integral controller of TPR, where the input signal is the cardiac output error signal
  tissue_autoregulation_signal = max(0.1,1+tissue_autoreg_scale*((Kp_CO/CO_scale_species)*(cardiac_output_delayed - CO_nom)+(Ki_CO/CO_scale_species)*CO_error));
  
  ###Effect of the RAAS (AT1-bound AngII) on systemic vascular resistance. For now, the slope is set to zero, i.e. AngII does not directly affect SVR
  AT1_svr_int = 1 - AT1_svr_slope*nominal_equilibrium_AT1_bound_AngII;
  AT1_bound_AngII_effect_on_SVR = AT1_svr_int + AT1_svr_slope * AT1_bound_AngII;
  
  ###Effect of RSNA on systemic vascular resistance
  rsna_svr_int = 1 - rsna_svr_slope;
  rsna_effect_on_svr = rsna_svr_int + rsna_svr_slope*rsna_delayed;
  
  systemic_arterial_resistance = nom_systemic_arterial_resistance*tissue_autoregulation_signal*AT1_bound_AngII_effect_on_SVR*rsna_effect_on_svr;  
  
  ###### Determination of Cardiac Output and Mean Arterial Pressure
  #Cardiac output is a function of blood volume and resistance to venous return
  
  ###Empirical relationship between SVR, venous resistance, and resistance to venous return
  resistance_to_venous_return = ((8 * R_venous + systemic_arterial_resistance) / 31); 
  
  ###Empirical relationship between blood volume and mean filling pressure, taken from Karaaslan 2005; must be scaled for different species
  mean_filling_pressure = nom_mean_filling_pressure + (blood_volume_L/BV_scale_species-blood_volume_nom)/venous_compliance;
  
  venous_return = ((mean_filling_pressure) / resistance_to_venous_return);  
  cardiac_output = venous_return;
  
  total_peripheral_resistance = systemic_arterial_resistance + R_venous;
  
  mean_arterial_pressure_MAP = (cardiac_output * total_peripheral_resistance);
  
  ###Empirical relationship between blood volume and right atrial pressure, taken from Karaaslan 2005; must be scaled for different species
  #Right atrial pressure is used as a signal for ANP and RSNA. For this purpose, this relationship is fine. However, a more complex model would be needed to truly model right atrial pressure
  right_atrial_pressure = (nom_right_atrial_pressure * exp(blood_volume_L - 5*BV_scale_species));
  
  
  ###### Calculation of RSNA, ANP, and MR-bound Aldosterone
  ###Renal sympathetic nerve activity is assumed to be driven by changes in MAP and Right atrial pressure. The dominant effect is MAP, and the effect of RAP is much less, at least in the normal physiologic range. 
  MAP_effect_on_rsna = 0.5 + 1.0 / (1 + exp((mean_arterial_pressure_MAP - nominal_map_setpoint) / map_rsna_slope)); 
  R_atrial_pressure_effect_on_rsna_int = 1+rap_rsna_slope*nom_right_atrial_pressure;
  R_atrial_pressure_effect_on_rsna = R_atrial_pressure_effect_on_rsna_int - rap_rsna_slope * right_atrial_pressure;
  renal_sympathetic_nerve_activity =  nom_rsna*MAP_effect_on_rsna * R_atrial_pressure_effect_on_rsna*BB_effect_on_RSNA;
    
  
  ###ANP release is driven by changes in right atrial pressure
  rap_anp_intercept = 1 + rap_anp_slope/2;
  normalized_atrial_NP_concentration = nom_ANP*((rap_anp_intercept - rap_anp_slope / (1 + exp(right_atrial_pressure - nom_right_atrial_pressure))));
  
  ###Aldosterone bound to the mineralocorticoid receptor - normalized level. Aldosterone secretion is described later on.
  aldosterone_concentration = normalized_aldosterone_level* nominal_aldosterone_concentration; 
  Aldo_MR_normalised_effect = normalized_aldosterone_level*MR_antagonist_effect_on_aldo_MR;
  
  
  
  ###################### Renal Vasculature #####################################
  
  ###AT1-bound AngII constricts the preafferent, afferent, and efferent arterioles
  AT1_preaff_int = 1 - AT1_preaff_scale/2;
  AT1_effect_on_preaff = AT1_preaff_int + AT1_preaff_scale/(1+exp(-(AT1_bound_AngII - nominal_equilibrium_AT1_bound_AngII)/AT1_preaff_slope));
  
  AT1_aff_int = 1 - AT1_aff_scale/2;
  AT1_effect_on_aff = AT1_aff_int + AT1_aff_scale/(1+exp(-(AT1_bound_AngII - nominal_equilibrium_AT1_bound_AngII)/AT1_aff_slope));
  
  AT1_eff_int = 1 - AT1_eff_scale/2;
  AT1_effect_on_eff = AT1_eff_int + AT1_eff_scale/(1+exp(-(AT1_bound_AngII - nominal_equilibrium_AT1_bound_AngII)/AT1_eff_slope));
  
  ### RSNA constricts the preafferent vasculature
  rsna_preaff_int = 1 - rsna_preaff_scale/2;
  rsna_effect_on_preaff = rsna_preaff_int + rsna_preaff_scale/(1+exp(-(renal_sympathetic_nerve_activity - nom_rsna)/rsna_preaff_slope));
  
  ### ANP may dilate the preafferent, afferent, and/or efferent arterioles
  ANP_preaff_int = 1 + ANP_preaff_scale/2;
  ANP_effect_on_preaff = ANP_preaff_int - ANP_preaff_scale/(1+exp(-(normalized_atrial_NP_concentration - nom_ANP)/ANP_preaff_slope));
  
  ANP_aff_int = 1 + ANP_aff_scale/2;
  ANP_effect_on_aff = ANP_aff_int - ANP_aff_scale/(1+exp(-(normalized_atrial_NP_concentration - nom_ANP)/ANP_aff_slope));
  
  ANP_eff_int = 1 + ANP_eff_scale/2;
  ANP_effect_on_eff= ANP_eff_int - ANP_eff_scale/(1+exp(-(normalized_atrial_NP_concentration - nom_ANP)/ANP_eff_slope));
  
  
  ######Preafferent Resistance
  #The resistance of the arcuate, interlobular arterioles, and other vasculature prior the afferent arterioles is represented by a single resistance - the preafferent arteriole resistance
  #The preafferent arterioles respond myogenically to changes in pressure, and also responds to AT1-bound AngII, RSNA, and ANP
  #The dilation/constriction of the arterioles is limited, and thus the total combined effect of all regulators must saturate
  preaff_arteriole_signal_multiplier = AT1_effect_on_preaff*rsna_effect_on_preaff*ANP_effect_on_preaff*(preafferent_pressure_autoreg_signal)*CCB_effect_on_preafferent_resistance;
  preaff_arteriole_adjusted_signal_multiplier = (1/(1+exp(preaff_signal_nonlin_scale*(1-preaff_arteriole_signal_multiplier)))+0.5);
  preafferent_arteriole_resistance = nom_preafferent_arteriole_resistance*preaff_arteriole_adjusted_signal_multiplier;
  
  ###### Afferent Arteriole Resistance
  #The afferent arteriole responses the tubuloglomerular feedback (calculated later), as well as to AT1-bound AngII and ANP. 
  #It may respond myogenically as well. Some studies suggest the upstream portion responds myogenically while the distal portion responds to TGF. Thus, one could consider the 
  #myogenically responsive portion as part of the preafferent resistance. 
  #The dilation/constriction of the arterioles is limited, and thus the total combined effect of all regulators must saturate
  nom_afferent_arteriole_resistance = L_m3*viscosity_length_constant/(nom_afferent_diameter^4);
  afferent_arteriole_signal_multiplier = tubulo_glomerular_feedback_effect * AT1_effect_on_aff * ANP_effect_on_aff*glomerular_pressure_autoreg_signal*CCB_effect_on_afferent_resistance;
  afferent_arteriole_adjusted_signal_multiplier = (1/(1+exp(afferent_signal_nonlin_scale*(1-afferent_arteriole_signal_multiplier)))+0.5);
  afferent_arteriole_resistance = nom_afferent_arteriole_resistance*afferent_arteriole_adjusted_signal_multiplier;
  
  ###### Efferent Arteriole Resistance
  #The efferent arteriole responses to AT1-bound AngII and ANP.
  #The dilation/constriction of the arterioles is limited, and thus the total combined effect of all regulators must saturate
  nom_efferent_arteriole_resistance = L_m3*viscosity_length_constant/(nom_efferent_diameter^4);
  efferent_arteriole_signal_multiplier = AT1_effect_on_eff * ANP_effect_on_eff *CCB_effect_on_efferent_resistance;
  efferent_arteriole_adjusted_signal_multiplier = 1/(1+exp(efferent_signal_nonlin_scale*(1-efferent_arteriole_signal_multiplier)))+0.5;
  efferent_arteriole_resistance = nom_efferent_arteriole_resistance*efferent_arteriole_adjusted_signal_multiplier;
  
  
  ######Peritubular Resistance
  #Autoregulation of peritubular resistance allows RBF to be autoregulated separately from GFR
  #This is exploratory for now. By default, this effect is turned off by setting RBF_autoreg_scale to zero
  RBF_autoreg_int = 1 - RBF_autoreg_scale/2;
  peritubular_autoreg_signal = RBF_autoreg_int + RBF_autoreg_scale/(1+exp((nom_renal_blood_flow_L_min - renal_blood_flow_L_min_delayed)/RBF_autoreg_steepness));
  autoregulated_peritubular_resistance = peritubular_autoreg_signal*nom_peritubular_resistance;
  
  ###### Renal Vascular Resistance
  renal_vascular_resistance = (preafferent_arteriole_resistance + (afferent_arteriole_resistance + efferent_arteriole_resistance) / number_of_functional_glomeruli + autoregulated_peritubular_resistance);
  
  ###Renal blood flow
  renal_blood_flow_L_min = ((mean_arterial_pressure_MAP - P_venous) / renal_vascular_resistance); 
  renal_blood_flow_ml_hr = renal_blood_flow_L_min * 1000 * 60;
  
  
  ###Renal Vasculature Pressures
  preafferent_pressure = mean_arterial_pressure_MAP - renal_blood_flow_L_min*preafferent_arteriole_resistance;
  glomerular_pressure = (mean_arterial_pressure_MAP  - renal_blood_flow_L_min * (preafferent_arteriole_resistance + afferent_arteriole_resistance / number_of_functional_glomeruli));
  postglomerular_pressure = (mean_arterial_pressure_MAP  - renal_blood_flow_L_min * (preafferent_arteriole_resistance + (afferent_arteriole_resistance+efferent_arteriole_resistance) / number_of_functional_glomeruli));
  
  
  #Autoregulatory signals for preafferent and afferent resistances
  preaff_autoreg_int = 1 - preaff_autoreg_scale/2;
  preafferent_pressure_autoreg_function = preaff_autoreg_int+preaff_autoreg_scale/(1+exp((nom_preafferent_pressure - preafferent_pressure)/myogenic_steepness));
  gp_autoreg_int = 1 - gp_autoreg_scale/2;
  glomerular_pressure_autoreg_function = gp_autoreg_int+gp_autoreg_scale/(1+exp((nom_glomerular_pressure - glomerular_pressure)/myogenic_steepness));
  
  
  
  ######################## Glomerular Filtration ######################
  
   # Assume glomerulosclerosis causes a decrease in Kf over time, and also a loss of the renal vasculature (afferent and efferent arterioles) 
   # as glomeruli become completely sclerotic
  
    #Glomerular hypertrophy resulting in increased surface area and thus increased Kf is assumed to occur
    #in response to elevated glomerular pressure. A 2 mmHg buffer is built in (i.e. glomerular pressure must be at least 2 mmHg above normal for hypertrophy to begin
    #The increase in Kf saturates and cannot exceed the fractional increase set by maximal_glom_surface_area_increase
    GP_effect_increasing_Kf = (maximal_glom_surface_area_increase - disease_effects_increasing_Kf) * max(glomerular_pressure/(nom_glomerular_pressure+2) - 1,0) / T_glomerular_pressure_increases_Kf;
    temp=glomerular_pressure/(nom_glomerular_pressure+2);
    glomerular_hydrostatic_conductance_Kf = nom_Kf*(1+disease_effects_increasing_Kf)*(1-disease_effects_decreasing_Kf);
   
  ###Glomerular Fitlration Rate
  #Calculation of P_bowmans are described later
  net_filtration_pressure = glomerular_pressure - oncotic_pressure_difference - P_bowmans;
  SNGFR_nL_min = glomerular_hydrostatic_conductance_Kf * (glomerular_pressure - oncotic_pressure_difference - P_bowmans);
  GFR =  (SNGFR_nL_min / 1000 / 1000000 * number_of_functional_tubules);
  GFR_ml_min = GFR * 1000;
  
  serum_creatinine_concentration = serum_creatinine/blood_volume_L;
  creatinine_clearance_rate = GFR_ml_min * dl_ml * serum_creatinine_concentration; #Units: mg/min
  
  ####################### Protein filtering ####################
  GPdiff = max(0, glomerular_pressure - (nom_GP_seiving_damage));
  GP_effect_on_Seiving = Emax_seiving * GPdiff ^ Gamma_seiving / (GPdiff ^ Gamma_seiving + Km_seiving ^ Gamma_seiving);
  
  #Dean and Lazzara 2006 - Seiving coefficient decreases as GFR increases
  
  nom_glomerular_albumin_sieving_coefficient = seiving_inf/(1-(1-seiving_inf)*exp(-c_albumin*SNGFR_nL_min));
  glomerular_albumin_sieving_coefficient = nom_glomerular_albumin_sieving_coefficient*(1 + GP_effect_on_Seiving);
  
  SN_albumin_filtration_rate = plasma_albumin_concentration*SNGFR_nL_min*1e-6*glomerular_albumin_sieving_coefficient; #mg/min
  
  SN_albumin_excretion_rate = max(0, SN_albumin_filtration_rate - SN_albumin_reabsorptive_capacity)+nom_albumin_excretion_rate;
  albumin_excretion_rate = SN_albumin_excretion_rate*number_of_functional_tubules;
  
  #albumin_filtation_rate = plasma_albumin_concentration*SNGFR_nL_min*glomerular_albumin_sieving_coefficient; 
  #albumin_excretion_rate = max(0, albumin_filtation_rate - max_PT_albumin_reabsorption_rate);
  
  
  
  ###Oncotic pressure difference
  #Landis Pappenheimer equation used to calculate oncotic pressure at entrance and exit to glomerulus
  #Oncotic pressure is approximated as varying linearly along the glomerulus. Oncotic pressure in the Bowman's space is zero
  #Thus the average pressure difference is the average of the entrance and exit oncotic pressure
  #We do not consider filtration equilibrium
  Oncotic_pressure_in = 1.629*plasma_protein_concentration+0.2935*(plasma_protein_concentration^2);
  SNRBF_nl_min = 1e6*1000*renal_blood_flow_L_min/number_of_functional_glomeruli;
  plasma_protein_concentration_out = (SNRBF_nl_min*plasma_protein_concentration-SN_albumin_filtration_rate)/(SNRBF_nl_min-SNGFR_nL_min);
  Oncotic_pressure_out = 1.629*plasma_protein_concentration_out+0.2935*(plasma_protein_concentration_out^2);
  oncotic_pressure_avg = (Oncotic_pressure_in+Oncotic_pressure_out)/2;
  
  
  ##################### Plasma sodium concentration and vasopressin secretion
  ###Plasma sodium concentration
  Na_concentration = sodium_amount / blood_volume_L;
  ECF_Na_concentration = ECF_sodium_amount/extracellular_fluid_volume;
  
  sodium_storate_rate = Q_Na_store*((max_stored_sodium - stored_sodium)/max_stored_sodium)*(ECF_Na_concentration - ref_Na_concentration);
  
  ###Control of vasopressin secretion
  #A proportional-integral controller is used to ensure there is no steady state error in sodium concentration
  #Relative gains of the P and I controller must be chosen carefully.
  #In order to permit a steady-state error, the integral controller can be removed. But care should be given then in choosing the proportional gain
  Na_water_controller = Na_controller_gain*(Kp_VP*(Na_concentration - ref_Na_concentration)+Ki_VP*Na_concentration_error);
  
  ###Vasopressin
  #Vasopressin is critical in the model, because it allows water excretion to be decoupled from sodium excretion in the collecting duct
  normalized_vasopressin_concentration = 1 + Na_water_controller;
  vasopressin_concentration = nominal_vasopressin_conc * normalized_vasopressin_concentration;
  
  #Effect of vasopressin on water intake
  water_intake_vasopressin_int = 1-water_intake_vasopressin_scale/2;
  water_intake = water_intake_species_scale*(nom_water_intake/60/24)*(water_intake_vasopressin_int + water_intake_vasopressin_scale/(1+exp((normalized_vasopressin_concentration_delayed-1)/water_intake_vasopressin_slope)));
  daily_water_intake = (water_intake * 24 * 60);
  
  
  ##################### Tubular Flow and Reabsorption######################
  
  #Length of tubular segments
  L_pt_s1 = L_pt_s1_nom*(1+tubular_length_increase);
  L_pt_s2 = L_pt_s2_nom*(1+tubular_length_increase);
  L_pt_s3 = L_pt_s3_nom*(1+tubular_length_increase);
  Dc_pt = Dc_pt_nom*(1+tubular_diameter_increase);
  L_pt = L_pt_s1+L_pt_s2 + L_pt_s3;
  
  SN_filtered_Na_load = (SNGFR_nL_min / 1000 / 1000000)*Na_concentration;
  filtered_Na_load = SN_filtered_Na_load*number_of_functional_tubules;
  
  ######Regulatory effects on reabsorption
  ###Pressure natriuresis effects
  pressure_natriuresis_PT_int = 1 - pressure_natriuresis_PT_scale/2;
  pressure_natriuresis_PT_effect = max(0.001,pressure_natriuresis_PT_int + pressure_natriuresis_PT_scale / (1 + exp((postglomerular_pressure- RIHP0) / pressure_natriuresis_PT_slope))); 
  
  pressure_natriuresis_LoH_int = 1 - pressure_natriuresis_LoH_scale/2;
  pressure_natriuresis_LoH_effect = max(0.001,pressure_natriuresis_LoH_int + pressure_natriuresis_LoH_scale / (1 + exp((postglomerular_pressure - RIHP0) / pressure_natriuresis_LoH_slope))); 
  
  pressure_natriuresis_DCT_magnitude = max(0,pressure_natriuresis_DCT_scale);
  pressure_natriuresis_DCT_int = 1 - pressure_natriuresis_DCT_magnitude/2;
  pressure_natriuresis_DCT_effect = max(0.001,pressure_natriuresis_DCT_int + pressure_natriuresis_DCT_magnitude/ (1 + exp((postglomerular_pressure - RIHP0) / pressure_natriuresis_DCT_slope))); 
  
  pressure_natriuresis_CD_magnitude = max(0,pressure_natriuresis_CD_scale *(1+disease_effects_decreasing_CD_PN));
  pressure_natriuresis_CD_int = 1 - pressure_natriuresis_CD_magnitude/2;
  pressure_natriuresis_CD_effect = max(0.001,pressure_natriuresis_CD_int + pressure_natriuresis_CD_magnitude/ (1 + exp((postglomerular_pressure - RIHP0) / pressure_natriuresis_CD_slope))); 
  
  ###AT1-bound AngII effect on PT reabsorption 
  AT1_PT_int = 1 - AT1_PT_scale/2;
  AT1_effect_on_PT = AT1_PT_int + AT1_PT_scale/(1+exp(-(AT1_bound_AngII - nominal_equilibrium_AT1_bound_AngII)/AT1_PT_slope));
  
  
  ### RSNA effect on PT and CD sodium reabsorption
  #RSNA effect on CD is turned off by default
  rsna_PT_int = 1 - rsna_PT_scale/2;
  
  #######NEED To either change rsna_delayed consistently throughout or revert back
  rsna_effect_on_PT = rsna_PT_int + rsna_PT_scale/(1+exp((1 - rsna_delayed2)/rsna_PT_slope));
  rsna_CD_int = 1 - rsna_CD_scale/2;
  rsna_effect_on_CD= rsna_CD_int + rsna_CD_scale/(1+exp((1 - renal_sympathetic_nerve_activity)/rsna_CD_slope));
  
  
  ###Aldosterone effect on distal and collecting duct sodium reabsorption
  aldo_DCT_int = 1 - aldo_DCT_scale/2;
  aldo_effect_on_DCT = aldo_DCT_int + aldo_DCT_scale/(1+exp((1 - Aldo_MR_normalised_effect)/aldo_DCT_slope));
  
  aldo_CD_int = 1 - aldo_CD_scale/2;
  aldo_effect_on_CD= aldo_CD_int + aldo_CD_scale/(1+exp((1 - Aldo_MR_normalised_effect)/aldo_CD_slope));
  
  ###ANP effect on collecting duct sodium reabsorption
  anp_CD_int = 1 - anp_CD_scale/2;
  anp_effect_on_CD= anp_CD_int + anp_CD_scale/(1+exp((1 - normalized_atrial_NP_concentration)/anp_CD_slope));
  
  #Assume insulin has effect on NHE3. Use RUGE as surrogate for insulin effect. When RUGE goes up, insulin effect goes down. 
  NHE3inhib = Anhe3*RUGE_delayed;
  pt_multiplier = AT1_effect_on_PT * rsna_effect_on_PT *pressure_natriuresis_PT_effect*(1-NHE3inhib);
  
  e_pt_sodreab = min(1,nominal_pt_na_reabsorption * pt_multiplier);# AT1_effect_on_PT * rsna_effect_on_PT *pressure_natriuresis_PT_effect;
  
  
  e_dct_sodreab = min(1,nominal_dt_na_reabsorption * aldo_effect_on_DCT*pressure_natriuresis_DCT_effect *HCTZ_effect_on_DT_Na_reabs); 
  
  cd_multiplier = anp_effect_on_CD *aldo_effect_on_CD*rsna_effect_on_CD*pressure_natriuresis_CD_effect;
  #Ensure that CD reabsorption smoothly approaches upper limit set by max_cd_reabs_rate
  cd_scale = max_cd_reabs_rate/nominal_cd_na_reabsorption-1;
  #if (cd_multiplier > 1) {
  # cd_multiplier = 1+cd_scale - cd_scale*exp((1-cd_multiplier)/.028);
  #}
  e_cd_sodreab = min(1,nominal_cd_na_reabsorption*cd_multiplier);
  
  ##################################### Proximal Tubule #########################################
  ###Glucose Filtration and reabsorption in PT
  #Assume glucose reabsorption depends only on availability of SGLT1/2
  #Assume constant amount of reabsorption per unit length through SGLT2 in convoluted PT
  #Assume constant amount of reabsorption per unit length through SGLT1 in straight/recta PT
  
  #Chosen so that UGE becomes non-zero for plasma_glucose concentration ~8.5 mmol/l
  glucose_reabs_per_unit_length_s1 = nom_glucose_reabs_per_unit_length_s1*diabetic_adaptation*SGLT2_inhibition_delayed*(1+RTg_compensation);
  glucose_reabs_per_unit_length_s2 = nom_glucose_reabs_per_unit_length_s2*diabetic_adaptation*SGLT2_inhibition_delayed*(1+RTg_compensation);
  glucose_reabs_per_unit_length_s3 = nom_glucose_reabs_per_unit_length_s3*diabetic_adaptation*(1+RTg_compensation)*SGLT1_inhibition;
  
  SN_filtered_glucose_load = glucose_concentration*SNGFR_nL_min / 1000 / 1000000;  #mmol/min
  glucose_pt_out_s1 = max(0,SN_filtered_glucose_load-glucose_reabs_per_unit_length_s1*L_pt_s1); #mmol/min
  glucose_pt_out_s2 = max(0,glucose_pt_out_s1-glucose_reabs_per_unit_length_s2*L_pt_s2); #mmol/min
  glucose_pt_out_s3 = max(0,glucose_pt_out_s2-glucose_reabs_per_unit_length_s3*L_pt_s3); #mmol/min
  RUGE = glucose_pt_out_s3*number_of_functional_tubules*180; #RUGE in mg/min
  
  
  excess_glucose_increasing_RTg = (maximal_RTg_increase - RTg_compensation) * max(RUGE,0) / T_glucose_RTg;
  
  osmotic_natriuresis_effect_pt = 1-min(1,RUGE *glucose_natriuresis_effect_pt);
  osmotic_natriuresis_effect_cd = 1-min(1,RUGE *glucose_natriuresis_effect_cd);
  osmotic_diuresis_effect_pt = 1-min(1,RUGE *glucose_diuresis_effect_pt);
  osmotic_diuresis_effect_cd = 1-min(1,RUGE *glucose_diuresis_effect_cd);
  
  
  ###PT Sodium filtration and reabsorption
  # Sodium reabsorbed 1:1 with glucose in S1 and S2
  # Sodium reabsorbed 2:1 with glucose in S3
  # Assume for non-SGLT reabsorption, sodium reabsorbed at a constant RATE along the tubule
  # (represents glomerulotubular balance)
  SN_filtered_Na_load = (SNGFR_nL_min / 1000 / 1000000)*Na_concentration;   #mmol/min
  SGTL2_Na_reabs_mmol_s1 = SN_filtered_glucose_load-glucose_pt_out_s1;          #mmol/min
  SGTL2_Na_reabs_mmol_s2 = glucose_pt_out_s1-glucose_pt_out_s2;         #mmol/min
  SGTL1_Na_reabs_mmol = 2*(glucose_pt_out_s2-glucose_pt_out_s3);            #mmol/min
  total_SGLT2_Na_reabs = SGTL2_Na_reabs_mmol_s1+SGTL2_Na_reabs_mmol_s2+SGTL1_Na_reabs_mmol;     #mmol/min
  
  
  
  #Under normal conditions, 3.9% of Na absorbed through SGLT2 (total_SGLT2_Na_reabs/SN_filtered_Na_load)
  #Thus, this amount is subtracted to obtain the adjusted fractional reabsorption rate separate from SGLT2
  e_pt_sodreab_adj = e_pt_sodreab*osmotic_natriuresis_effect_pt - 0.039;  
  
  
  Na_reabs_per_unit_length = -log(1-e_pt_sodreab)/(L_pt_s1+L_pt_s2+L_pt_s3); #non-SGLT2 reabs   #mmol/min
  Na_pt_s1_reabs = min(max_s1_Na_reabs, SN_filtered_Na_load*(1-exp(-Na_reabs_per_unit_length*L_pt_s1)));
  Na_pt_out_s1 = SN_filtered_Na_load - Na_pt_s1_reabs - SGTL2_Na_reabs_mmol_s1 ;
  
  #Na_pt_s1_reabs = min(max_s1_Na_reabs, SN_filtered_Na_load*(1-exp(-Na_reabs_per_unit_length*L_pt_s1)));
  #Na_pt_out_s1 = SN_filtered_Na_load*exp(-Na_reabs_per_unit_length*L_pt_s1) - SGTL2_Na_reabs_mmol_s1 ;
  
  Na_pt_s2_reabs = min(max_s2_Na_reabs, Na_pt_out_s1*(1-exp(-Na_reabs_per_unit_length*L_pt_s2)));
  Na_pt_out_s2 = Na_pt_out_s1 - Na_pt_s2_reabs - SGTL2_Na_reabs_mmol_s2;
  
  Na_pt_s3_reabs = min(max_s3_Na_reabs, Na_pt_out_s2*(1-exp(-Na_reabs_per_unit_length*L_pt_s3)));
  Na_pt_out_s3 = Na_pt_out_s2 - Na_pt_s3_reabs - SGTL1_Na_reabs_mmol;
  
  PT_Na_reabs_fraction = 1-Na_pt_out_s3/SN_filtered_Na_load;
  
  ###PT Urea filtration and reabsorption
  SN_filtered_urea_load = (SNGFR_nL_min / 1000 / 1000000)*plasma_urea;
  urea_out_s1 = SN_filtered_urea_load - urea_permeability_PT*(SN_filtered_urea_load/(0.5*((SNGFR_nL_min / 1000 / 1000000)+water_out_s1_delayed))-plasma_urea)*water_out_s1_delayed; #For now, assuming only reabsorbed at the end
  urea_out_s2 = urea_out_s1 - urea_permeability_PT*(urea_out_s1/(0.5*(water_out_s1_delayed+water_out_s2_delayed))-plasma_urea)*water_out_s2_delayed; #For now, assuming only reabsorbed at the end
  urea_out_s3 = urea_out_s2 - urea_permeability_PT*(urea_out_s2/(0.5*(water_out_s2_delayed+water_out_s3_delayed))-plasma_urea)*water_out_s3_delayed; #For now, assuming only reabsorbed at the end
  urea_reabsorption_fraction = 1-urea_out_s3/SN_filtered_urea_load;
  
  
  ###PT Water Reabsorption
  osmoles_out_s1 = 2*Na_pt_out_s1 + glucose_pt_out_s1 + urea_out_s1;
  water_out_s1 = (((SNGFR_nL_min / 1000 / 1000000)/(2*SN_filtered_Na_load+SN_filtered_glucose_load+ SN_filtered_urea_load)))*osmoles_out_s1;
  
  osmoles_out_s2 = 2*Na_pt_out_s2 + glucose_pt_out_s2 + urea_out_s2;
  water_out_s2 = (water_out_s1/osmoles_out_s1)*osmoles_out_s2;
  
  osmoles_out_s3 = 2*Na_pt_out_s3 + glucose_pt_out_s3 + urea_out_s3;
  water_out_s3 = (water_out_s2/osmoles_out_s2)*osmoles_out_s3;
  
  PT_water_reabs_fraction = 1-water_out_s3/(SNGFR_nL_min / 1000 / 1000000);
  
  ###Concentrations out of PT
  Na_concentration_out_s1 = Na_pt_out_s1/water_out_s1;
  Na_concentration_out_s2 = Na_pt_out_s2/water_out_s2;
  Na_concentration_out_s3 = Na_pt_out_s3/water_out_s3;
  
  glucose_concentration_out_s1 = glucose_pt_out_s1/water_out_s1;
  glucose_concentration_out_s2 = glucose_pt_out_s2/water_out_s2;
  glucose_concentration_out_s3 = glucose_pt_out_s3/water_out_s3;
  
  urea_concentration_out_s1 = urea_out_s1/water_out_s1;
  urea_concentration_out_s2 = urea_out_s2/water_out_s2;
  urea_concentration_out_s3 = urea_out_s3/water_out_s3;
  
  osmolality_out_s1 = osmoles_out_s1/water_out_s1;
  osmolality_out_s2 = osmoles_out_s2/water_out_s2;
  osmolality_out_s3 = osmoles_out_s3/water_out_s3;
  
  PT_Na_outflow = Na_pt_out_s3*number_of_functional_tubules;
  
  #Tubular sodium reabsorption per unit SA as the driver of tubular hypertrophy
  PT_Na_reab_perUnitSA = SN_filtered_Na_load*e_pt_sodreab/(3.14*Dc_pt*(L_pt_s1+L_pt_s2+L_pt_s3));
  
  normalized_PT_reabsorption_density = PT_Na_reab_perUnitSA/PT_Na_reab_perUnitSA_0;
  PT_Na_reabs_effect_increasing_tubular_length = 0;#(maximal_tubule_length_increase - tubular_length_increase) * max(normalized_PT_reabsorption_density - 1,0) / T_PT_Na_reabs_PT_length;
  PT_Na_reabs_effect_increasing_tubular_diameter = 0;#(maximal_tubule_diameter_increase - tubular_diameter_increase) * max(normalized_PT_reabsorption_density - 1,0) / T_PT_Na_reabs_PT_diameter;
  
  
  ##################################### Loop of Henle #########################################
  
  #####Descending Loop of Henle
  
  water_in_DescLoH = water_out_s3; # L/min
  Na_in_DescLoH = Na_pt_out_s3;
  urea_in_DescLoH = urea_out_s3;
  glucose_in_DescLoH = glucose_pt_out_s3;
  osmoles_in_DescLoH = osmoles_out_s3; 
  
  Na_concentration_in_DescLoH = Na_concentration_out_s3;
  Urea_concentration_in_DescLoH = urea_concentration_out_s3;
  glucose_concentration_in_DescLoH = glucose_concentration_out_s3;
  osmolality_in_DescLoH = osmoles_out_s3/water_out_s3;
  
  #No solute reabsorption in descending limb
  Na_out_DescLoH = Na_in_DescLoH;
  urea_out_DescLoH = urea_in_DescLoH;
  glucose_out_DescLoH = glucose_in_DescLoH;
  osmoles_out_DescLoH = osmoles_in_DescLoH;
  
  
  #For LoH, baseline osmoles reabsorbed per unit length is calculated from nominal fractional sodium reabsorption (see baseline parameters file)
  #The rate of reabsorption per unit length may be flow-dependent, and may be modulated by tubular pressure-natriuresis
  # If LoH_flow_dependence = 0, then no flow dependence. 
  
  deltaLoH_NaFlow = min(max_deltaLoH_reabs,LoH_flow_dependence*(Na_out_DescLoH-nom_Na_in_AscLoH));
  AscLoH_Reab_Rate =(2*nominal_loh_na_reabsorption*(nom_Na_in_AscLoH+deltaLoH_NaFlow)*loop_diuretic_effect)/L_lh_des; #osmoles reabsorbed per unit length per minute. factor of 2 because osmoles = 2
  
  effective_AscLoH_Reab_Rate =AscLoH_Reab_Rate*pressure_natriuresis_LoH_effect; #osmoles reabsorbed per unit length per minute. factor of 2 because osmoles = 2*Na
  
  
  #Min function necesssary to ensure that the LoH does not reabsorb more Na than is delivered to it
  osmolality_out_DescLoH = osmolality_in_DescLoH*exp(min(effective_AscLoH_Reab_Rate*L_lh_des,2*Na_in_DescLoH)/(water_in_DescLoH*osmolality_in_DescLoH));
  water_out_DescLoH = water_in_DescLoH*osmolality_in_DescLoH/osmolality_out_DescLoH;
  
  Na_concentration_out_DescLoH = Na_out_DescLoH/water_out_DescLoH;
  glucose_concentration_out_DescLoH = glucose_out_DescLoH/water_out_DescLoH;
  urea_concentration_out_DescLoH = urea_out_DescLoH/water_out_DescLoH;
  
  #####Ascending Loop of Henle
  
  Na_in_AscLoH = Na_out_DescLoH;
  urea_in_AscLoH_before_secretion = urea_out_DescLoH;
  glucose_in_AscLoH = glucose_out_DescLoH;
  osmoles_in_AscLoH_before_secretion = osmoles_out_DescLoH;
  water_in_AscLoH = water_out_DescLoH;
  
  #Urea Secretion --> Assume all urea reabsorbed and secreted only at tip of loop
  urea_in_AscLoH = urea_in_AscLoH_before_secretion + reabsorbed_urea_cd_delayed;
  urea_concentration_in_AscLoH = urea_in_AscLoH/water_out_DescLoH;
  osmoles_in_AscLoH = osmoles_in_AscLoH_before_secretion  + reabsorbed_urea_cd_delayed; 
  
  osmolality_in_AscLoH = osmoles_in_AscLoH/water_in_AscLoH;
  
  #Osmolality descreased due to sodium reabsorption along ascending loop
  #min function necessary so that LoH doesn't reabsorb more sodium than is delivered to it
  osmolality_out_AscLoH = osmolality_in_AscLoH - min(L_lh_des*effective_AscLoH_Reab_Rate, 2*Na_in_DescLoH)*(exp(min(L_lh_des*effective_AscLoH_Reab_Rate, 2*Na_in_DescLoH)/(water_in_DescLoH*osmolality_in_DescLoH))/water_in_DescLoH);
  osmoles_reabsorbed_AscLoH = (osmolality_in_AscLoH - osmolality_out_AscLoH)*water_in_AscLoH;
  Na_reabsorbed_AscLoH = osmoles_reabsorbed_AscLoH/2;
  Na_out_AscLoH = max(0,Na_in_AscLoH - Na_reabsorbed_AscLoH);
  
  
  
  #Water, glucose, and urea are not reabsorbed along the ascending limb
  urea_out_AscLoH = urea_in_AscLoH; #urea secretion accounted for above
  glucose_out_AscLoH = glucose_in_AscLoH;
  water_out_AscLoH = water_in_AscLoH;
  
  osmoles_out_AscLoH = osmolality_out_AscLoH*water_out_AscLoH;
  
  
  Na_concentration_out_AscLoH = Na_out_AscLoH/water_out_AscLoH;
  glucose_concentration_out_AscLoH = glucose_out_AscLoH/water_out_AscLoH;
  urea_concentration_out_AscLoH = urea_out_AscLoH/water_out_AscLoH;
  
  LoH_reabs_fraction = 1-Na_out_AscLoH/Na_in_AscLoH;
  
  SN_macula_densa_Na_flow = Na_out_AscLoH;
  MD_Na_concentration = Na_concentration_out_AscLoH;
  TGF0_tubulo_glomerular_feedback = 1 - S_tubulo_glomerular_feedback/2;
  tubulo_glomerular_feedback_signal = (TGF0_tubulo_glomerular_feedback + S_tubulo_glomerular_feedback / (1 + exp((MD_Na_concentration_setpoint - MD_Na_concentration)/ F_md_scale_tubulo_glomerular_feedback)));
  
  
  #############################Distal Convoluted Tubule #######################
  
  
  water_in_DCT = water_out_AscLoH; 
  Na_in_DCT = Na_out_AscLoH;
  urea_in_DCT = urea_out_AscLoH;
  glucose_in_DCT = glucose_out_AscLoH;
  osmoles_in_DCT = osmoles_out_AscLoH;
  
  Na_concentration_in_DCT = Na_concentration_out_AscLoH; 
  urea_concentration_in_DCT = urea_concentration_out_AscLoH;
  glucose_concentration_in_DCT = glucose_concentration_out_AscLoH;
  osmolality_in_DCT = osmolality_out_AscLoH;
  
  #Assume only sodium reabsorbed along DCT, no water, glucose, or urea reabsorption
  urea_out_DCT = urea_in_DCT;
  glucose_out_DCT = glucose_in_DCT;
  water_out_DCT = water_in_DCT;
  
  urea_concentration_out_DCT = urea_out_DCT/water_out_DCT;
  glucose_concentration_out_DCT = glucose_out_DCT/water_out_DCT;
  
  #Assume sodium reabsorption at a constant fraction of delivery
  R_dct = -log(1-e_dct_sodreab)/L_dct;
  
  Na_out_DCT = Na_in_DCT*exp(-R_dct*L_dct);
  Na_concentration_out_DCT = Na_out_DCT/water_out_DCT;
  
  osmolality_out_DCT = 2*Na_concentration_out_DCT + glucose_concentration_out_DescLoH + urea_concentration_in_AscLoH;
  osmoles_out_DCT = osmolality_out_DCT*water_out_DCT;
  
  DCT_Na_reabs_fraction = 1-Na_out_DCT/Na_in_DCT; 
  
  ################################################Collecting Duct###############################
  
  water_in_CD = water_out_DCT;
  Na_in_CD = Na_out_DCT;
  urea_in_CD = urea_out_DCT;
  glucose_in_CD = glucose_out_DCT;
  
  osmoles_in_CD = osmoles_out_DCT;
  
  #Use this to turn off osmotic diuresis effect
  #osmoles_in_CD = osmoles_out_DCT - glucose_in_CD;
  
  osmolality_in_CD = osmoles_in_CD/water_in_CD;
  
  Na_concentration_in_CD = Na_concentration_out_DCT;
  urea_concentration_in_CD = urea_concentration_out_DCT;
  glucose_concentration_in_CD = glucose_concentration_out_DCT;
  
  osmotic_diuresis_effect_cd = 1-min(1,RUGE *glucose_diuresis_effect_cd);
  
  ####Assume sodium reabsorbed, then water follows
  #### Then urea reabsorbed at end
  #### Then additional water reabsorbed following urea reabsorption
  
  #Assume sodium reabsorbed at fractional rate eta
  e_cd_sodreab_adj = e_cd_sodreab*osmotic_natriuresis_effect_cd;
  R_cd = -log(1-e_cd_sodreab_adj)/L_cd;
  Na_reabsorbed_CD = min(Na_in_CD*(1-exp(-R_cd*L_cd)),CD_Na_reabs_threshold);
  Na_out_CD = Na_in_CD-Na_reabsorbed_CD;
  
  CD_Na_reabs_fraction = 1-Na_out_CD/Na_in_CD; 
  
  ADH_water_permeability_old = min(1,max(0,nom_ADH_water_permeability*normalized_vasopressin_concentration));
  ADH_water_permeability = normalized_vasopressin_concentration/(0.15+normalized_vasopressin_concentration);
  
  #Water reabsorption follows gradient but is regulated by ADH
  #max_water_reabs_CD = water_in_CD-(osmolality_in_CD*water_in_CD-2*Na_reabsorbed_CD)/osmolality_in_AscLoH; 
  #water_out_CD_before_osmotic_reabsorption = max(0,water_in_CD - ADH_water_permeability*max_water_reabs_CD);
  
  
  osmoles_out_CD = osmoles_in_CD-2*(Na_in_CD - Na_out_CD);
  #osmolality_out_CD_before_osmotic_reabsorption = osmoles_out_CD/water_out_CD_before_osmotic_reabsorption;
  
  #water_reabsorbed_CD = ADH_water_permeability*water_out_CD_before_osmotic_reabsorption*(1-osmolality_out_CD_before_osmotic_reabsorption/osmolality_out_DescLoH);
  #water_out_CD = water_out_CD_before_osmotic_reabsorption-water_reabsorbed_CD;
  
  osmolality_out_CD_before_osmotic_reabsorption = osmoles_out_CD/water_in_CD;
  water_reabsorbed_CD = ADH_water_permeability*osmotic_diuresis_effect_cd*water_in_CD*(1-osmolality_out_CD_before_osmotic_reabsorption/osmolality_out_DescLoH);
  water_out_CD = water_in_CD-water_reabsorbed_CD;
  
  osmolality_out_CD_after_osmotic_reabsorption = osmoles_out_CD/water_out_CD;
  glucose_concentration_after_urea_reabsorption = glucose_in_CD/water_out_CD;
  
  urine_flow_rate = water_out_CD*number_of_functional_tubules;
  
  daily_urine_flow = (urine_flow_rate * 60 * 24);
  
  
  
  
  Na_excretion_via_urine = Na_out_CD*number_of_functional_tubules;
  Na_balance = Na_intake_rate - Na_excretion_via_urine;
  water_balance = daily_water_intake - daily_urine_flow;
  
  
  FENA = Na_excretion_via_urine/filtered_Na_load;
  
  PT_fractional_glucose_reabs = (SN_filtered_glucose_load - glucose_pt_out_s3)/SN_filtered_glucose_load;
  PT_fractional_Na_reabs = (SN_filtered_Na_load - Na_pt_out_s3)/SN_filtered_Na_load;
  PT_fractional_urea_reabs = ( SN_filtered_urea_load - urea_out_s3)/SN_filtered_urea_load;
  PT_fractional_water_reabs = ((SNGFR_nL_min / 1000 / 1000000) - water_out_s3)/(SNGFR_nL_min / 1000 / 1000000);
  
  LoH_fractional_Na_reabs = (Na_in_DescLoH - Na_out_AscLoH)/Na_in_DescLoH;
  LoH_fractional_urea_reabs = (urea_in_DescLoH-urea_out_AscLoH)/urea_in_DescLoH;
  LoH_fractional_water_reabs = (water_in_DescLoH - water_out_AscLoH)/water_in_DescLoH;
  
  DCT_fractional_Na_reabs = (Na_in_DCT - Na_out_DCT)/Na_in_DCT;
  
  CD_fractional_Na_reabs = (Na_in_CD - Na_out_CD)/Na_in_CD;
  #CD_fractional_urea_reabs = (urea_in_CD - urea_out_CD)/urea_in_CD;
  CD_OM_fractional_water_reabs = (water_in_CD - water_out_CD)/water_in_CD;
  
  
  #####################Renal Interstitial Hydrostatic pressure
  
  ######RIHP can be approximated from Starling's equation for the peritubular capillaries
  ### Flow out of the capillary = Kf_peritubular*(Peritubular pressure - RIHP - oncotic pressure difference)
  ### Assume that any fluid reabsorbed reenters the capillary.
  ### Therefore, RIHP = Peritubular Pressure - (oncotic pressure in peritubular capillary - interstitial oncotic pressure) + tubular reabsorption/KF
  #Peritubular pressure is assumed to equal postglomerular pressure
  
  #Oncotic pressure at the entrance to the peritubular circulation equals oncotic pressure at the exit of the glomerular
  Oncotic_pressure_peritubular_in = Oncotic_pressure_out;
  plasma_protein_concentration_peritubular_out = (SNRBF_nl_min)*plasma_protein_concentration/(SNRBF_nl_min-urine_flow_rate*1e6*1000/number_of_functional_glomeruli);
  Oncotic_pressure_peritubular_out = 1.629*plasma_protein_concentration_peritubular_out+0.2935*(plasma_protein_concentration_peritubular_out^2);
  oncotic_pressure_peritubular_avg = (Oncotic_pressure_peritubular_in+Oncotic_pressure_peritubular_out)/2;
  
  #The amount of fluid reabsorbed is the difference between the amount filtered and the amount excreted
  tubular_reabsorption = GFR_ml_min/1000 - urine_flow_rate;
  
  #Renal Interstitial Hydrostatic Pressure
  RIHP = postglomerular_pressure - (oncotic_pressure_peritubular_avg - interstitial_oncotic_pressure) + tubular_reabsorption/nom_peritubular_cap_Kf;
  
   
  
  
  ################# Tubular Pressure #####################
  
  #####See written documentation for derivation of the equations below
  #flow rates expressed in m3/min, rather than L/min
  
  
  
  mmHg_Nperm2_conv = 133.32;
  Pc_pt_s1 = Pc_pt_s1_mmHg*mmHg_Nperm2_conv;
  Pc_pt_s2 = Pc_pt_s2_mmHg*mmHg_Nperm2_conv;
  Pc_pt_s3 = Pc_pt_s3_mmHg*mmHg_Nperm2_conv;
  Pc_lh_des = Pc_lh_des_mmHg*mmHg_Nperm2_conv;
  Pc_lh_asc = Pc_lh_asc_mmHg*mmHg_Nperm2_conv;
  Pc_dt = Pc_dt_mmHg*mmHg_Nperm2_conv;
  Pc_cd = Pc_cd_mmHg*mmHg_Nperm2_conv;
  P_interstitial = 4.9*mmHg_Nperm2_conv;#(renal_interstitial_hydrostatic_pressure-5)*mmHg_Nperm2_conv;
  pi=3.14;
  
  ###CD 
  B1 = (4*tubular_compliance+1)*128*gamma/pi;
  mean_cd_water_flow = (water_in_CD-water_out_CD)/2;
  B2_cd = (Pc_cd^(4*tubular_compliance))/(Dc_cd^4);
  P_in_cd = (0^(4*tubular_compliance+1)+B1*B2_cd*(mean_cd_water_flow/1e3)*L_cd)^(1/(4*tubular_compliance+1));
  P_in_cd_mmHg = (P_in_cd+P_interstitial)/mmHg_Nperm2_conv;
  
  
  
  ### DCT
  B2_dt = (Pc_dt^(4*tubular_compliance))/(Dc_dt^4);
  P_in_dt = (P_in_cd^(4*tubular_compliance+1)+B1*B2_dt*(water_in_DCT/1e3)*L_dct)^(1/(4*tubular_compliance+1));
  P_in_dt_mmHg = (P_in_dt+P_interstitial)/mmHg_Nperm2_conv;
  
  
  
  ### Asc LoH
  B2_lh_asc = (Pc_lh_asc^(4*tubular_compliance))/(Dc_lh^4);
  P_in_lh_asc = (P_in_dt^(4*tubular_compliance+1)+B1*B2_lh_asc*(water_in_AscLoH/1e3)*L_lh_asc)^(1/(4*tubular_compliance+1));
  P_in_lh_asc_mmHg = (P_in_lh_asc+P_interstitial)/mmHg_Nperm2_conv;
  
  ### Desc LoH
  A_lh_des = effective_AscLoH_Reab_Rate/(water_in_DescLoH*osmolality_in_DescLoH);
  B2_lh_des = (Pc_lh_des^(4*tubular_compliance))*(water_in_DescLoH/1e3)/((Dc_lh^4)*A_lh_des);
  P_in_lh_des = (P_in_lh_asc^(4*tubular_compliance+1)+B1*B2_lh_des*(1-exp(-A_lh_des*L_lh_des)))^(1/(4*tubular_compliance+1));
  P_in_lh_des_mmHg = (P_in_lh_des+P_interstitial)/mmHg_Nperm2_conv;
  
  ### PT 
  
  #Treat urea as if reabsorbed linearly along whole length of PT
  Rurea = (SN_filtered_urea_load - urea_out_s3)/(L_pt_s1+L_pt_s2+L_pt_s3);
  urea_in_s2 = SN_filtered_urea_load - Rurea*L_pt_s1;
  urea_in_s3 = SN_filtered_urea_load - Rurea*(L_pt_s1+L_pt_s2);
  A_na = Na_reabs_per_unit_length; 
  
  flow_integral_s3 = 2*(Na_pt_out_s2/A_na)*(1-exp(-A_na*L_pt_s3)) - (3/2)*glucose_pt_out_s2*L_pt_s3^2 + urea_in_s3*L_pt_s3 - (1/2)*Rurea*(L_pt_s3^2);
  flow_integral_s2 = 2*(Na_pt_out_s1/A_na)*(1-exp(-A_na*L_pt_s2)) - (1/2)*glucose_pt_out_s1*L_pt_s2^2 + urea_in_s2*L_pt_s2 - (1/2)*Rurea*(L_pt_s2^2);
  flow_integral_s1 = 2*(SN_filtered_Na_load/A_na)*(1-exp(-A_na*L_pt_s1)) - (1/2)*SN_filtered_glucose_load*L_pt_s1^2 + SN_filtered_urea_load*L_pt_s1 - (1/2)*Rurea*(L_pt_s1^2);
  
  
  #S3 segment
  B2_pt_s3 = (Pc_pt_s3^(4*tubular_compliance))/(Dc_pt^4);
  B3_pt_s3 = (water_out_s2/1e3)/osmoles_out_s2;
  P_in_pt_s3= (P_in_lh_des^(4*tubular_compliance+1)+B1*B2_pt_s3*B3_pt_s3*flow_integral_s3)^(1/(4*tubular_compliance+1));
  P_in_pt_s3_mmHg = (P_in_pt_s3+P_interstitial)/mmHg_Nperm2_conv;
  
  B2_pt_s2 = (Pc_pt_s3^(4*tubular_compliance))/(Dc_pt^4);
  B3_pt_s2 = (water_out_s1/1e3)/osmoles_out_s1;
  P_in_pt_s2= (P_in_pt_s3^(4*tubular_compliance+1)+B1*B2_pt_s2*B3_pt_s2*flow_integral_s2)^(1/(4*tubular_compliance+1));
  P_in_pt_s2_mmHg = (P_in_pt_s2+P_interstitial)/mmHg_Nperm2_conv;
  
  B2_pt_s1 = (Pc_pt_s1^(4*tubular_compliance))/(Dc_pt^4);
  B3_pt_s1 = (SNGFR_nL_min / 1e12)/(2*SN_filtered_Na_load+SN_filtered_glucose_load+ SN_filtered_urea_load);
  P_in_pt_s1= (P_in_pt_s2^(4*tubular_compliance+1)+B1*B2_pt_s1*B3_pt_s1*flow_integral_s1)^(1/(4*tubular_compliance+1));
  P_in_pt_s1_mmHg = (P_in_pt_s1+P_interstitial)/mmHg_Nperm2_conv;
  
  
  
  
  ####################### Aldosterone and Renin Secretion
  
  ###Aldosterone is secreted in response to AT1-bound AngII and changes in potassium or sodium concentration
  #Potassium concentration is treated as a constant for now
  #Empirircal relationship for Karaaslan 2005
  
  
  AT1_aldo_int = 1 - AT1_aldo_slope*nominal_equilibrium_AT1_bound_AngII;
  AngII_effect_on_aldo = AT1_aldo_int + AT1_aldo_slope*AT1_bound_AngII;
  N_als = (K_Na_ratio_effect_on_aldo * AngII_effect_on_aldo);
  
  # Drug effects on RAAS pathways
  ACEI_effect_on_ACE_activity = 1;
  #
  ARB_effect_on_AT1_binding = 1;
  
  DRI_effect_on_PRA = 1;
  
  ###Renin is secreted in response to decreases in AT1-bound AngII, decreases in MD sodium flow, or increases in RSNA
  #RSNA effect on renin secretion
  rsna_renin_intercept = 1-rsna_renin_slope;
  rnsa_effect_on_renin_secretion =  rsna_renin_slope * renal_sympathetic_nerve_activity + rsna_renin_intercept;
  
  #Macula Densa Sodium flow effect on renin secretion
  #This relationship is known to be non-linear, and md_renin_tau can be calibrated based on data on changes in renin as a functoin of sodium intake
  #e.g. Isaksson 2014
  md_effect_on_renin_secretion = md_renin_A*exp(-md_renin_tau*(SN_macula_densa_Na_flow_delayed*baseline_nephrons - nom_LoH_Na_outflow));
  
  #AT1-bound AngII feedback on renin secretion
  AT1_bound_AngII_effect_on_PRA = (10 ^ (AT1_PRC_slope * log10(AT1_bound_AngII / nominal_equilibrium_AT1_bound_AngII) + AT1_PRC_yint));
  
  plasma_renin_activity = concentration_to_renin_activity_conversion_plasma* plasma_renin_concentration*DRI_effect_on_PRA;
  renin_secretion_rate = (log(2)/renin_half_life)*nominal_equilibrium_PRC*AT1_bound_AngII_effect_on_PRA*md_effect_on_renin_secretion*rnsa_effect_on_renin_secretion*HCTZ_effect_on_renin_secretion*renin_hyperactivity;
  renin_degradation_rate = log(2)/renin_half_life; 
  AngI_degradation_rate = log(2)/AngI_half_life;
  AngII_degradation_rate = log(2)/AngII_half_life;
  AT1_bound_AngII_degradation_rate =  log(2)/AT1_bound_AngII_half_life;
  AT2_bound_AngII_degradation_rate = log(2)/AT2_bound_AngII_half_life;
  ACE_activity = nominal_ACE_activity*ACEI_effect_on_ACE_activity;
  chymase_activity = nominal_chymase_activity;
  #AT1_receptor_binding_rate =nominal_AT1_receptor_binding_rate;
  AT1_receptor_binding_rate = nominal_AT1_receptor_binding_rate*ARB_effect_on_AT1_binding;
  AT2_receptor_binding_rate = nominal_AT2_receptor_binding_rate;
  
  d/dt(AngI) = plasma_renin_activity - (AngI) * (chymase_activity + ACE_activity) - (AngI) * AngI_degradation_rate; 
  d/dt(AngII) = AngI * (chymase_activity + ACE_activity) - AngII * AngII_degradation_rate - AngII*AT1_receptor_binding_rate - AngII* (AT2_receptor_binding_rate);
  d/dt(AT1_bound_AngII) = AngII * (AT1_receptor_binding_rate) - AT1_bound_AngII_degradation_rate*AT1_bound_AngII;
  d/dt(AT2_bound_AngII) = AngII * (AT2_receptor_binding_rate) - AT2_bound_AngII_degradation_rate*AT2_bound_AngII;
  d/dt(plasma_renin_concentration) = renin_secretion_rate - plasma_renin_concentration * renin_degradation_rate;
  
  #Change in Extracellular fluid volume over time is determined by the different between water intake and urine outflow
  d/dt(blood_volume_L) = C_water_intake_ecf_volume * (water_intake) + C_urine_flow_ecf_volume * (urine_flow_rate) + Q_water*(Na_concentration - ECF_Na_concentration);
  d/dt(extracellular_fluid_volume) = Q_water*(ECF_Na_concentration - Na_concentration);
  
  #Change in total body sodium over time is determined by the different between sodium intake and excretion
  d/dt(sodium_amount) = C_na_excretion_na_amount * (Na_excretion_via_urine) + C_na_intake_na_amount * (Na_intake_rate) + Q_Na*(ECF_Na_concentration - Na_concentration);
  d/dt(ECF_sodium_amount) = Q_Na*(Na_concentration - ECF_Na_concentration) - sodium_storate_rate;
  
  d/dt(stored_sodium) = sodium_storate_rate;
  
  #These equations serve only to delay the input variable by one timestep. This allows the previous value of the input variable to be used in an equation that appears 
  #in the code before the input variable was defined
  d/dt(tubulo_glomerular_feedback_effect) = C_tgf * (tubulo_glomerular_feedback_signal-tubulo_glomerular_feedback_effect);
  d/dt(normalized_aldosterone_level) =  C_aldo_secretion * (N_als-normalized_aldosterone_level);
  d/dt(preafferent_pressure_autoreg_signal) = 500*(preafferent_pressure_autoreg_function - preafferent_pressure_autoreg_signal);
  d/dt(glomerular_pressure_autoreg_signal) = 500*(glomerular_pressure_autoreg_function - glomerular_pressure_autoreg_signal);
  d/dt(F_out_dt_delay) = 0;#100*(F_out_dt - F_out_dt_delay);
  d/dt(cardiac_output_delayed) = C_cardiac_output_delayed*(cardiac_output - cardiac_output_delayed);
  
  #Error signals for PI controllers of cardiac output and sodium concentration
  d/dt(CO_error) = C_co_error*(cardiac_output-CO_nom);
  d/dt(Na_concentration_error) = C_Na_error*(Na_concentration - ref_Na_concentration);
  
  #This equation allows a delay between the secretion of vasopression and its effect on water intake and tubular water reabsorption
  d/dt(normalized_vasopressin_concentration_delayed)= C_vasopressin_delay*(normalized_vasopressin_concentration - normalized_vasopressin_concentration_delayed);
  
  #TGF resetting. If C_tgf_reset = 0, no TGF resetting occurs. If it is greater than zero, the setpoint will change over time and will eventually
  #come to equal the ambient MD sodium flow rate.
  d/dt(F0_TGF) = C_tgf_reset*(SN_macula_densa_Na_flow*baseline_nephrons - F0_TGF);
  
  #As above, these equations allow a variable to be used in equations that appear in the code before the variable was first defined.
  d/dt(P_bowmans) = C_P_bowmans*(P_in_pt_s1_mmHg - P_bowmans);
  d/dt(oncotic_pressure_difference) = C_P_oncotic*(oncotic_pressure_avg - oncotic_pressure_difference);
  d/dt(renal_blood_flow_L_min_delayed)=C_rbf*(renal_blood_flow_L_min - renal_blood_flow_L_min_delayed);
  d/dt(renal_interstitial_hydrostatic_pressure) = C_rihp*(RIHP - renal_interstitial_hydrostatic_pressure);
  d/dt(SN_macula_densa_Na_flow_delayed) = C_md_flow*( SN_macula_densa_Na_flow - SN_macula_densa_Na_flow_delayed);
  d/dt(rsna_delayed) = C_rsna*(renal_sympathetic_nerve_activity - rsna_delayed);
  d/dt(rsna_delayed2) = C_rsna2*(renal_sympathetic_nerve_activity - rsna_delayed2);
  
  
  ###Disease effects (turned off by default)
  #Glomerular hypertrophy
  d/dt(disease_effects_increasing_Kf) = GP_effect_increasing_Kf;
  #Loss of CD pressure natriuresis response over time
  d/dt(disease_effects_decreasing_CD_PN) = CD_PN_loss_rate;
  #Tubular hypertrophy
  d/dt(tubular_length_increase) = PT_Na_reabs_effect_increasing_tubular_length;
  d/dt(tubular_diameter_increase) = PT_Na_reabs_effect_increasing_tubular_diameter;
  
  d/dt(water_out_s1_delayed) = C_pt_water*(water_out_s1 - water_out_s1_delayed);
  d/dt(water_out_s2_delayed) = C_pt_water*(water_out_s2 - water_out_s2_delayed);
  d/dt(water_out_s3_delayed) = C_pt_water*(water_out_s3 - water_out_s3_delayed);
  d/dt(reabsorbed_urea_cd_delayed) = 0;#C_pt_water*(reabsorbed_urea_cd - reabsorbed_urea_cd_delayed);
  
  #Urinary glucose excretion
  d/dt(UGE) = RUGE; 
  
  #Serum Creatinine
  d/dt(serum_creatinine) = creatinine_synthesis_rate - creatinine_clearance_rate;
  d/dt(cumNaExcretion) = Na_excretion_via_urine;
  d/dt(cumWaterExcretion) = urine_flow_rate;
  d/dt(cumCreatinineExcretion) = creatinine_clearance_rate;
  d/dt(RTg_compensation) = excess_glucose_increasing_RTg;
  d/dt(SGLT2_inhibition_delayed) = C_sglt2_delay*(SGLT2_inhibition - SGLT2_inhibition_delayed);
  d/dt(RUGE_delayed) = C_ruge*(RUGE - RUGE_delayed);

"
mod1 <- RxODE(model = ode, modName = "model1")

#load basecase
calcNomParams_human <- function(){
  
  #Constants and Unit conversions
  nL_mL=1e+06
  dl_ml=0.01
  L_dL=10
  L_mL=1000
  L_m3=0.001
  g_mg=0.001
  ng_mg=1e-06
  secs_mins=60
  min_hr=60
  hr_day=24
  min_day=1440
  MW_creatinine=113.12
  Pi=3.1416
  pi=3.14
  viscosity_length_constant=1.5e-09 
  gamma =  1.16667e-5;  #  viscosity of tubular fluid
  mmHg_Nperm2_conv = 133.32
  glucose_mg_mmol = 0.0056 
  uric_acid_mg_mmol = 0.006
  
  
  #Scaling parameters - can be used to parameterize model for other species
  ECF_scale_species = 1
  BV_scale_species=1
  water_intake_species_scale = 1
  CO_scale_species = 1
  
  ########################################################################################
  #Parameters of normal human physiology based on literature and commmon medical knowledge
  ########################################################################################
  
  ####Systemic parameters
  nominal_map_setpoint=85   #mmHg
  CO_nom= 5             #L/min
  ECF_nom = 15
  blood_volume_nom = 5      #L
  Na_intake_rate=.07        #mEq/min  - 100mmol/day or 2300 mg/day
  nom_water_intake = 2.1        #L/day
  ref_Na_concentration=138      #mEq/L
  plasma_protein_concentration = 7   #g/dl
  plasma_albumin_concentration= 35  #mg/ml
  glucose_concentration = 5.5   #mmol/L
  plasma_urea = 5 #mmol/L
  nom_serum_uric_acid_concentration = 5.5 #mg/dl
  equilibrium_serum_creatinine=0.92 #mg/dl
  potassium_concentration=5 #mEq/L
  P_venous=4        #mmHg
  R_venous=3.4  #mmHg
  nom_right_atrial_pressure=0.87 #mmHg
  nom_mean_filling_pressure=7 #mmHg
  venous_compliance = 1.2
  
  
  ####Renal parameters
  nom_renal_blood_flow_L_min = 1    #L/min
  baseline_nephrons=2e6
  nom_Kf=3.9                    #nl/min*mmHg
  nom_oncotic_pressure_difference = 28.15   #mmHg
  P_renal_vein=4                #mmHg
  
  
  nom_oncotic_pressure_peritubular= 28.15   #mmHg       
  interstitial_oncotic_pressure = 5 #mmHg
  
  
  #Renal Vasculature
  nom_preafferent_arteriole_resistance= 14 ##15 #mmHg
  nom_afferent_diameter=1.65e-5  ###1.5e-05     #mmHg
  nom_efferent_diameter=1.1e-05     #mmHg
  
  #Renal Tubules
  Dc_pt_nom  = 27e-6            #m
  Dc_lh = 17e-6             #m
  Dc_dt = 17e-6             #m
  Dc_cd = 17e-6
  
  L_pt_s1_nom = 0.005
  L_pt_s2_nom = 0.005           #m
  L_pt_s3_nom =0.004            #m
  L_lh_des = 0.01 ###0.003              #m
  L_lh_asc = 0.01 ###0.003              #m
  L_dct = 0.005             #m  
  L_cd = L_lh_des   
  
  tubular_compliance = 0.2  
  Pc_pt_s1_mmHg = 20.2#19.4#13.2 #15            #mmHg
  Pc_pt_s2_mmHg = 15
  Pc_pt_s3_mmHg = 11            #mmHg
  Pc_lh_des_mmHg = 8            #mmHg
  Pc_lh_asc_mmHg = 7            #mmHg
  Pc_dt_mmHg = 6                #mmHg
  Pc_cd_mmHg = 5                #mmHg
  nominal_pt_na_reabsorption=0.7# 0.75  #fraction
  nominal_loh_na_reabsorption = 0.8 #0.65   #fraction
  nominal_dt_na_reabsorption=0.5    #fraction
  LoH_flow_dependence = 0.75
  
  ###Renal Glucose reabsorption
  nom_glucose_reabs_per_unit_length_s1 = 5.4e-5
  nom_glucose_reabs_per_unit_length_s2 = 0
  nom_glucose_reabs_per_unit_length_s3 = 2.8e-5
  diabetic_adaptation = 1
  maximal_RTg_increase = 0.3
  T_glucose_RTg = 100000
  Anhe3 = 0
  
  
  glucose_natriuresis_effect_pt = 0
  glucose_natriuresis_effect_cd = 0
  glucose_diuresis_effect_pt = 0
  glucose_diuresis_effect_cd = 0
  
  ###Renal urea reabsorption
  urea_permeability_PT = 0.5
  
  ####Renal albumin seiving
  nom_glomerular_albumin_sieving_coefficient = 0.0001  #% 
  max_albumin_reabsorption_fraction=0.98448 #%
  maximum_reabsorption_capacity = 5.5e-7    #mg/min
  
  ####RAAS Pathway parameters
  concentration_to_renin_activity_conversion_plasma = 61 
  nominal_equilibrium_PRA = 1000 #937   #fmol/ml/hr
  nominal_equilibrium_AngI = 7.5 #fmol/ml
  nominal_equilibrium_AngII = 4.75 #fmol/ml
  nominal_renin_half_life = 0.1733 # (hr)
  nominal_AngI_half_life = 0.5/60 #(hr)
  nominal_AngII_half_life = 0.66/60 #(hr)
  nominal_AT1_bound_AngII_half_life = 12/60 #hr
  nominal_AT2_bound_AngII_half_life = 12/60 #hr
  ACE_chymase_fraction = 0.95     #% of AngI converted by ACE. The rest is converted by chymase
  fraction_AT1_bound_AngII = 0.75    #assume AngII preferentially binds to AT1 vs AT2
  
  
  
  
  ########################################################################################
  #The following parameters are calculated at equilibrium using the parameters above
  ########################################################################################
  
  #This pressure is the setpoint that determines the myogenic response of the preafferent vasculature
  nom_preafferent_pressure = nominal_map_setpoint - nom_renal_blood_flow_L_min*nom_preafferent_arteriole_resistance;
  
  #This pressure is the setpoint that determines the myogenic response of the afferent vasculature
  nom_glomerular_pressure = nom_preafferent_pressure - nom_renal_blood_flow_L_min*(L_m3*viscosity_length_constant/(nom_afferent_diameter^4)/baseline_nephrons);
  
  
  #This pressure is the setpoint that determines the tubular pressure-natriuresis response 
  nom_postglomerular_pressure = nom_preafferent_pressure - nom_renal_blood_flow_L_min*(L_m3*viscosity_length_constant*(1/(nom_afferent_diameter^4)+1/(nom_efferent_diameter^4))/baseline_nephrons);
  
  RIHP0 = nom_postglomerular_pressure
  # The rate of sodium excretion must equal the rate of sodium intake. Sodium reabsorption rates vary along the tubule, but based on literature
  # measurements we have a good, and literature data provides estimates for these rates. However, there is a precise
  # rate of sodium reabsorption required to achieve the equilibrium defined by the parameters above.
  # Assuming that reabsorption rates are known in all but one segment of the tubule, the exact rate
  # of reabsorption of the remaining segment can be calculated. We chose to calculate the CD rate of reabsorpion based on estimates for
  # PT, LoH, and DT reabsorption.  
  nom_GFR = nom_Kf*(nom_glomerular_pressure - nom_oncotic_pressure_difference - Pc_pt_s1_mmHg)/nL_mL*baseline_nephrons;
  nom_filtered_sodium_load = nom_GFR/L_mL*ref_Na_concentration;
  nom_PT_Na_outflow = nom_filtered_sodium_load*(1-nominal_pt_na_reabsorption);
  
  nom_Na_in_AscLoH = nom_PT_Na_outflow/baseline_nephrons;
  AscLoH_Reab_Rate =(2*nominal_loh_na_reabsorption*nom_Na_in_AscLoH)/L_lh_des; #osmoles reabsorbed per unit length per minute. factor of 2 because osmoles = 2
  
  nom_LoH_Na_outflow = nom_PT_Na_outflow*(1-nominal_loh_na_reabsorption);
  nom_DT_Na_outflow = nom_LoH_Na_outflow*(1-nominal_dt_na_reabsorption);
  nominal_cd_na_reabsorption = 1-Na_intake_rate/nom_DT_Na_outflow;
  
  
  
  #RBF = (MAP - P_venous)/RVR. Given MAP, P_venous, RBF, and preafferent, afferent, and efferent resistances, the remaining peritubular resistance at steady state can be determined
  nom_RVR = (nominal_map_setpoint - P_venous)/nom_renal_blood_flow_L_min
  nom_peritubular_resistance = nom_RVR - (nom_preafferent_arteriole_resistance + L_m3*viscosity_length_constant*(1/nom_afferent_diameter^4+1/nom_efferent_diameter^4)/baseline_nephrons);
  
  #Calculate the normal amount of sodium reabsorbed per unit surface area of the PT
  PT_Na_reab_perUnitSA_0 = (nom_filtered_sodium_load/baseline_nephrons)* nominal_pt_na_reabsorption/(3.14*Dc_pt_nom*(L_pt_s1_nom+L_pt_s2_nom+L_pt_s3_nom))
  
  
  
  #Given the values for baseline MAP and CO above, the baseline TPR required to maintain this MAP and CO can be calculated. Since TPR includes renal vascular resistance, the baseline systemic (non-renal) resistance
  #can be calculated from this TPR and the values for baseline renal resistances defined above. 
  nom_TPR = nominal_map_setpoint/CO_nom
  #nom_systemic_arterial_resistance= (nom_TPR-R_venous)*nom_RVR/(nom_RVR - nom_TPR-R_venous)
  nom_systemic_arterial_resistance= nom_TPR-R_venous
  
  #Calculation of peritubular ultrafiltration coefficient
  tubular_reabsorption = nom_GFR/1000 - nom_water_intake*water_intake_species_scale/60/24  #at SS, water excretion equals water intake
  #Both RIHP and Kf are unknown, so we can either assume RIHP and calculate Kf, or vice versa. Since RIHP has been measured experimentally,
  #it seems better to assume a normal value for RIHP and calculate Kf
  nom_peritubular_cap_Kf = - tubular_reabsorption/(nom_postglomerular_pressure - RIHP0 - (nom_oncotic_pressure_peritubular - interstitial_oncotic_pressure))
  
  
  #Creatinine synthesisrate at equilibrium
  creatinine_synthesis_rate  = equilibrium_serum_creatinine * dl_ml * nom_GFR #Units: mg/min
  
  #### Uric Acid reabsorption
  uric_acid_fractional_reabs_rate = 0.95  #%
  uric_acid_synthesis_rate  = nom_serum_uric_acid_concentration * dl_ml * nom_GFR*(1-uric_acid_fractional_reabs_rate) #Units: mg/min
  
  
  
  
  ####RAAS Pathway parameters
  #Values for half lives and equilibrium concentrations of RAAS peptides available in the literature and 
  # defined above to calculate nominal values for other RAAS parameters not available in the literature:
  #ACE activity
  #Chymase activity
  #AT1 receptor binding rate
  #AT2 receptor binding rate
  #equilibrium AT1_bound_AngII
  #These values are then assumed to be fixed unless specified otherwise.
  #Calculating these nominal parameter values initially in a separate file is required so that these parameters can then be varied independently in the main model
  nominal_equilibrium_PRC = nominal_equilibrium_PRA/concentration_to_renin_activity_conversion_plasma
  nominal_AngI_degradation_rate = log(2)/nominal_AngI_half_life #/hr
  nominal_AngII_degradation_rate = log(2)/nominal_AngII_half_life #/hr
  nominal_AT1_bound_AngII_degradation_rate = log(2)/nominal_AT1_bound_AngII_half_life
  nominal_AT2_bound_AngII_degradation_rate = log(2)/nominal_AT2_bound_AngII_half_life
  #ACE converts 95% of AngI, chymase converts the rest
  nominal_ACE_activity = (ACE_chymase_fraction*(nominal_equilibrium_PRA - nominal_AngI_degradation_rate*nominal_equilibrium_AngI)/nominal_equilibrium_AngI)#Therapy_effect_on_ACE
  nominal_chymase_activity = (1-ACE_chymase_fraction)*(nominal_equilibrium_PRA - nominal_AngI_degradation_rate*nominal_equilibrium_AngI)/nominal_equilibrium_AngI
  #75% of bound AngII is AT1, the rest is AT2
  nominal_AT1_receptor_binding_rate = fraction_AT1_bound_AngII*(nominal_equilibrium_AngI*(nominal_ACE_activity+nominal_chymase_activity)-nominal_AngII_degradation_rate*nominal_equilibrium_AngII)/nominal_equilibrium_AngII
  nominal_AT2_receptor_binding_rate = (1-fraction_AT1_bound_AngII)*(nominal_equilibrium_AngI*(nominal_ACE_activity+nominal_chymase_activity)-nominal_AngII_degradation_rate*nominal_equilibrium_AngII)/nominal_equilibrium_AngII
  nominal_equilibrium_AT1_bound_AngII = nominal_equilibrium_AngII*nominal_AT1_receptor_binding_rate/nominal_AT1_bound_AngII_degradation_rate
  nominal_equilibrium_AT2_bound_AngII = nominal_equilibrium_AngII*nominal_AT2_receptor_binding_rate/nominal_AT2_bound_AngII_degradation_rate
  
  ########################################################################################
  #The following parameters were determined indirectly from many different literature studies on the response
  #various changes in the system (e.g. drug treatments, infusions of peptide, fluid, sodium, etc.....)
  ########################################################################################
  
  
  
  #Effects of AT1-bound AngII on preafferent, afferent, and efferent resistance, and aldosterone secretion
  AT1_svr_slope = 0
  AT1_preaff_scale = 1 #0.4
  AT1_preaff_slope = 7 
  AT1_aff_scale=0.5
  AT1_aff_slope=7
  AT1_eff_scale=0.1
  AT1_eff_slope=7
  AT1_PT_scale = 0.075
  AT1_PT_slope = 7
  AT1_aldo_slope = 0.01
  
  
  #Effects of Aldosterone on distal and collecting duct sodium reabsorption
  nominal_aldosterone_concentration=85
  K_Na_ratio_effect_on_aldo = 1
  aldo_DCT_scale=0.08
  aldo_DCT_slope = 0.5
  aldo_CD_scale=0.35
  aldo_CD_slope = 0.5
  
  #Effects of Atrial Natriuretic Peptide (ANP)preafferent, afferent, and efferent resistance and collectin duct sodium reabsorption
  nom_ANP=1
  rap_anp_slope=1 
  ANP_preaff_scale = 2
  ANP_preaff_slope = 1
  ANP_aff_scale = 2
  ANP_aff_slope = 1
  ANP_eff_scale = .4
  ANP_eff_slope = 1
  anp_CD_scale =0.25
  anp_CD_slope = 1
  
  #Effects of Renal Sympathetic Nerve Activity on preafferent resistance, renin secretion, and PT sodium reabsorption
  nom_rsna = 1
  map_rsna_slope=5 
  rap_rsna_slope=0.008 
  rsna_preaff_scale = 0
  rsna_preaff_slope = 0.25
  rsna_PT_scale=0
  rsna_PT_slope=1
  rsna_CD_scale = 0
  rsna_CD_slope = 1
  rsna_renin_slope=0.36
  rsna_svr_slope = 0
  
  #Na and water transfer between blood, ECF
  Q_water = 1
  Q_Na = 1
  Q_Na_store = 0 #80
  max_stored_sodium = 500 #meq
  
  #Osmolarity control of vasopressin secretion
  Na_controller_gain=0.05  
  Kp_VP = 1
  Ki_VP = 0.01
  
  nom_ADH_urea_permeability = .98
  nom_ADH_water_permeability = .98
  
  #Effects of Vasopressin on water intake and reabsorption
  nominal_vasopressin_conc=4
  water_intake_vasopressin_scale = 0.25#1.5
  water_intake_vasopressin_slope = -0.5
  
  
  #Magnitude and Steepness of tubuloglomerular feedback
  S_tubulo_glomerular_feedback=0.7
  F_md_scale_tubulo_glomerular_feedback=6
  MD_Na_concentration_setpoint = 59.7
  
  #Effect of macula densa sodium flow on renin secretion 
  #md_renin_low_slope = 5
  #md_renin_high_slope = -0.2
  md_renin_A = 1
  md_renin_tau = 1.25
  renin_hyperactivity = 1
  
  #Responsiveness of renal vasculature to regulatory signals
  preaff_diameter_range=0.25
  afferent_diameter_range=1.2e-05 
  efferent_diameter_range=3e-06 
  preaff_signal_nonlin_scale=3
  afferent_signal_nonlin_scale=3
  efferent_signal_nonlin_scale=3
  
  #Limit on PT sodium reabsorption
  renal_threshold_Na_reabs = 16e-6
  
  #Empirical relationship between blood volume and cardiac filling pressure - from Guyton
  BV_filling_pressure_slope=7.436
  
  
  
  #RAAS pathway (these parameters can be set to different values than used to calculate the equilibrium state above)
  AngI_half_life=0.008333 
  AngII_half_life=0.011 
  AT1_bound_AngII_half_life=0.2 
  AT1_PRC_slope=-0.9 #1.2 
  AT1_PRC_yint=0
  AT2_bound_AngII_half_life=0.2
  concentration_to_renin_activity_conversion_plasma=61
  fraction_AT1_bound_AngII=0.75
  nominal_ACE_activity=48.9
  nominal_AT1_receptor_binding_rate=12.1
  nominal_AT2_receptor_binding_rate=4.0 
  nominal_chymase_activity=1.25  
  nominal_equilibrium_AT1_bound_AngII=16.6315288606173
  nominal_equilibrium_PRC=16.4 
  renin_half_life=0.1733 
  
  #Transfer constants for ODEs - determine speed of processes
  C_aldo_secretion=1000
  C_prerenal_blood_pressure=1000
  C_P_bowmans = 1000
  C_P_oncotic = 1000
  C_rbf=1000
  C_pt_water=1000
  C_rsna = 1000
  C_rsna2 = 1
  
  C_tgf_reset=0
  C_cardiac_output_delayed=.001
  C_co_error=0.00001
  C_vasopressin_delay = 0.01
  C_ruge = 0.0001
  
  C_md_flow = 0.001#Time delay between MD sodium flow and renin secretion
  C_rihp = 0.01#0.01 #time delay between peritubular pressure and RIHP
  C_tgf=1#/30 #1000
  C_na_excretion_na_amount=-1#/2#/60
  C_na_intake_na_amount=1#/2#/60
  C_urine_flow_ecf_volume=-1#/2#/60
  C_water_intake_ecf_volume=1#/2#/60
  C_Na_error=0.1 #1/6#0
  C_serum_creatinine = 1#/2#/60
  
  
  
  #Therapy effects
  HCTZ_effect_on_DT_Na_reabs = 1 
  HCTZ_effect_on_renin_secretion = 1
  DRI_effect_on_PRA = 1
  CCB_effect_on_preafferent_resistance = 1
  CCB_effect_on_afferent_resistance = 1
  CCB_effect_on_efferent_resistance = 1
  MR_antagonist_effect_on_aldo_MR = 1
  
  ####################################################################
  #These parameters are by default set to ensure strong autoregulation of cardiac output, RBF, glomerular pressure, and MAP
  #However, reducing these parameters reduces the ability of the system to autoregulate, and is necessary for modeling the development of hypertension, etc.
  ####################################################################
  
  #Metabololic tissue autoregulation of cardiac output
  tissue_autoreg_scale=0.2
  Kp_CO=1.5
  Ki_CO=30
  
  
  
  
  #Renal autoregulation of glomerular pressure
  gp_autoreg_scale=0
  preaff_autoreg_scale = 0
  myogenic_steepness=2
  #Renal autoregulation of renal blood flow
  RBF_autoreg_scale = 0#3
  RBF_autoreg_steepness=0.001
  
  #Pressure natiuresis effect through collecting duct sodium reabsorption
  #Parameters selected based on Isaksson 2014:
  #For a 10X increase in salt intake:MAP increases by 5mmHg, Renin decreases by 45%
  #GFR increases by 1.4ml/min
  #Strong CD effect required to minimize BP rise
  #PT effect + LoH effect required to produce renin response
  #If PT effect is too big, GFR will decrease instead of increase.
  #So LoH must make up for the rest
  
  max_pt_reabs_rate = 0.995
  pressure_natriuresis_PT_scale = 0.1
  pressure_natriuresis_PT_slope = 1
  
  pressure_natriuresis_LoH_scale = 0
  pressure_natriuresis_LoH_slope = 1
  
  pressure_natriuresis_DCT_scale = 0
  pressure_natriuresis_DCT_slope = 1
  
  max_cd_reabs_rate = 0.995
  pressure_natriuresis_CD_scale = 0.1
  pressure_natriuresis_CD_slope=1
  
  #Glomerular pressure effect on glomerular hypertrophy
  maximal_glom_surface_area_increase = 0#.5
  T_glomerular_pressure_increases_Kf  = 2000
  
  
  
  #PT sodium reabsorption effects on tubular hypertrophy
  maximal_tubule_length_increase = 0#.5 
  maximal_tubule_diameter_increase = 0#.25  
  T_PT_Na_reabs_PT_length = 1e10    
  T_PT_Na_reabs_PT_diameter = 1e10
  
  
  ####Proteinuria
  nom_glomerular_albumin_sieving_coefficient = 6.2e-4
  Emax_seiving = 6000
  Gamma_seiving = 2
  Km_seiving = 30
  max_PT_albumin_reabsorption_rate = 0.1
  nom_albumin_excretion_rate = 3.5e-9
  
  #reabsorptive capacity based on observation of no proteinuria after UNX
  SN_albumin_reabsorptive_capacity = 1.4e-6 #mg/min/tubule
  max_PT_albumin_reabsorption_rate=0.2
  Emax_seiving=4#100
  Km_seiving=25
  Gamma_seiving=3
  nom_GP_seiving_damage=65
  c_albumin = 0.0231 #min/nl, from Dean and Lazzara
  seiving_inf = 4.25e-4 #from Dean and Lazarra, calculated for seiving coeff =0.00062 when SNGFR = 50 nl/min
  maximal_glom_surface_area_increase=0.5




  #Reduce Kf due to glomerulosclerosis
  disease_effects_decreasing_Kf = 0

  #Disease effects
  disease_effect_on_nephrons = 0    

  max_s1_Na_reabs = 7.5e-6
  max_s2_Na_reabs = 1#3e-6
  max_s3_Na_reabs = 1#2e-6
  max_deltaLoH_reabs=0.75e-6#2e-6
  CD_Na_reabs_threshold = 2.5e-7

  #Rate at which the tubular pressure natriuresis mechanism is lost in diabetes (should be zero or negative number)
  CD_PN_loss_rate = 0

  #Treatment Parameters
  BB_effect_on_RSNA = 1
  SGLT2_inhibition = 1
  SGLT1_inhibition = 1
  C_sglt2_delay = 0.1
  CA_inhibitor = 1
  ACEi_effect_on_ACE = 1
  loop_diuretic_effect = 1

  t=sort(ls())
  param=sapply(t,names)
  for (i in 1:length(t)){
    param[i]=get(t[i])
  }
  param$param=NULL

  return(param)
}

theta=unlist(calcNomParams_human())
###Initial conditions - do NOT change order!!!
#Order must match order in model file
#labels are not used by RxODE to match init to compartment
inits <- c( AngI=8.164, AngII=5.17,
           AT1_bound_AngII=16.6, AT2_bound_AngII = 5.5, plasma_renin_concentration=17.845,
           blood_volume_L = theta["blood_volume_nom"],
           extracellular_fluid_volume=theta["ECF_nom"],
           sodium_amount= as.numeric(theta["blood_volume_nom"])*as.numeric(theta["ref_Na_concentration"]), 
           ECF_sodium_amount= as.numeric(theta["ECF_nom"])*as.numeric(theta["ref_Na_concentration"]), 
           stored_sodium = 0,  #relative number - actual value not known
           tubulo_glomerular_feedback_effect=1,
           normalized_aldosterone_level=1, 
           preafferent_pressure_autoreg_signal=1, 
           glomerular_pressure_autoreg_signal=1, 
           F_out_dt_delay=5e-12,
           cardiac_output_asdelayed=theta["CO_nom"],
           CO_error=0, Na_concentration_error = 0, 
           normalized_vasopressin_concentration_delayed = 1,
           F0_TGF=theta["nom_LoH_Na_outflow"], 
           P_bowmans=theta["Pc_pt_s1_mmHg"], 
           oncotic_pressure_difference=theta["nom_oncotic_pressure_difference"],
           renal_blood_flow_L_min_delayed=theta["nom_renal_blood_flow_L_min"], 
           renal_interstitial_hydrostatic_pressure = theta["nom_postglomerular_pressure"],
           SN_macula_densa_Na_flow_delayed = as.numeric(theta["nom_LoH_Na_outflow"])/as.numeric(theta["baseline_nephrons"]),
           rsna_delayed = 1,
           rsna_delayed2 = 1,
           disease_effects_increasing_Kf= 0, disease_effects_decreasing_CD_PN = 0,
           tubular_length_increase=0, tubular_diameter_increase=0, 
           Water_out_S1_delayed=3e-8,
           Water_out_S2_delayed=1.9e-8,
           Water_out_S3_delayed=1.2e-8,
           reabsorbed_urea_cd_delayed =0,#10e-8,
           water_out_DescLoH_delayed = 8e-8,
           osmolality_in_AscLoH_delayed = 826,
           UGE = 0,
           serum_creatinine = as.numeric(theta["equilibrium_serum_creatinine"])*as.numeric(theta["blood_volume_nom"]), cumNaExcretion = 0, cumWaterExcretion = 0, cumCreatinineExcretion = 0,
           cumNaExcretion = 0, 
           cumWaterExcretion = 0,
           cumCreatinineExcretion = 0,
           RTg_compensation = 0,
           SGLT2_inhibition_delayed = 1,
           RUGE_delayed = 0
           )


########Run to equilibrium
ev <- eventTable()
ev$add.sampling(seq(0,100,by=1))

par(mfrow=c(1,3))
x <- mod1$run(theta, ev, inits=inits, atol = 1.0e-8, rtol = 1.0e-6,
              hmin=0, hmax=0, hini=0, safeZero=FALSE,
              maxordn = 12L, maxords = 5L, method="lsoda")



matplot(x[,"mean_arterial_pressure_MAP"],type="l")
plot(x[,"extracellular_fluid_volume"])
plot(x[,"GFR_ml_min"])

^{Created on 2022-07-26 by the reprex package (v2.0.1)}

[mattfidler]

I am sorry, but I don't think I can figure out how to make the model work on a Apple M1 (since I do not have one). My suggestion (for now) is to use docker/virtual machine to use the latest LTS ubuntu, install the latest R and then install the old RxODE, which is what I did the tests in. In theory that should work for now.

In the mean time, I will see what I can work out about the differences.

[jfndiaye]

I was able to finally install RxODE both the new and the first versions after fixing my openMP issue by following the discussions here https://github.com/nlmixr2/nlmixr2/discussions/26. But the model has (different) issues for both RxODE versions.
With the latest version of RxODE, it shows me the same issue as the rxode2 one (which is the title of the discussion).
And with the first version of RxODE, It shows me the same issue as the one obtained while using a virtual machine (with the latest LTS ubuntu, latest R (4.1.2) and the old RxODE). Here is part of the error (the beginning of the error is in the image file) while running mod1 <- RxODE(model = ode, modName = "model1") :

max_s2_Na_reabs = _PP[131];
max_s3_Na_reabs = _PP[132];
plasma_urea = _PP[133];
urea_permeability_PT = _PP[134];
PT_Na_reab_perUnitSA_0 = _PP[135];
PT_Na_reabs_effect_increasing_tubular_length = _PP[136];
PT_Na_reabs_effect_increasing_tubular_diameter = _PP[137];
max_deltaLoH_reabs = _PP[138];
LoH_flow_dependence = _PP[139];
nom_Na_in_AscLoH = _PP[140];
nominal_loh_na_reabsorption = _PP[141];
loop_diuretic_effect = _PP[142];
L_lh_des = _PP[143];
S_tubulo_glomerular_feedback = _PP[144];
MD_Na_concentration_setpoint = _PP[145];
F_md_scale_tubulo_glomerular_feedback = _PP[146];
L_dct = _PP[147];
L_cd = _PP[148];
CD_Na_reabs_threshold = _PP[149];
nom_ADH_water_permeability = _PP[150];
Na_intake_rate = _PP[151];
interstitial_oncotic_pressure = _PP[152];
nom_peritubular_cap_Kf = _PP[153];
mmHg_Nperm2_conv = _PP[154];
Pc_pt_s1_mmHg = _PP[155];
Pc_pt_s2_mmHg = _PP[156];
Pc_pt_s3_mmHg = _PP[157];
Pc_lh_des_mmHg = _PP[158];
Pc_lh_asc_mmHg = _PP[159];
Pc_dt_mmHg = _PP[160];
Pc_cd_mmHg = _PP[161];
pi = _PP[162];
tubular_compliance = _PP[163];
gamma = _PP[164];
Dc_cd = _PP[165];
Dc_dt = _PP[166];
Dc_lh = _PP[167];
L_lh_asc = _PP[168];
AT1_aldo_slope = _PP[169];
K_Na_ratio_effect_on_aldo = _PP[170];
ACEI_effect_on_ACE_activity = _PP[171];
ARB_effect_on_AT1_binding = _PP[172];
DRI_effect_on_PRA = _PP[173];
rsna_renin_slope = _PP[174];
md_renin_A = _PP[175];
md_renin_tau = _PP[176];
nom_LoH_Na_outflow = _PP[177];
AT1_PRC_slope = _PP[178];
AT1_PRC_yint = _PP[179];
concentration_to_renin_activity_conversion_plasma = _PP[180];
renin_half_life = _PP[181];
nominal_equilibrium_PRC = _PP[182];
HCTZ_effect_on_renin_secretion = _PP[183];
renin_hyperactivity = _PP[184];
AngI_half_life = _PP[185];
AngII_half_life = _PP[186];
AT1_bound_AngII_half_life = _PP[187];
AT2_bound_AngII_half_life = _PP[188];
nominal_ACE_activity = _PP[189];
nominal_chymase_activity = _PP[190];
nominal_AT1_receptor_binding_rate = _PP[191];
nominal_AT2_receptor_binding_rate = _PP[192];
C_water_intake_ecf_volume = _PP[193];
C_urine_flow_ecf_volume = _PP[194];
Q_water = _PP[195];
C_na_excretion_na_amount = _PP[196];
C_na_intake_na_amount = _PP[197];
Q_Na = _PP[198];
C_tgf = _PP[199];
C_aldo_secretion = _PP[200];
C_cardiac_output_delayed = _PP[201];
C_co_error = _PP[202];
C_Na_error = _PP[203];
C_vasopressin_delay = _PP[204];
C_tgf_reset = _PP[205];
C_P_bowmans = _PP[206];
C_P_oncotic = _PP[207];
C_rbf = _PP[208];
C_rihp = _PP[209];
C_md_flow = _PP[210];
C_rsna = _PP[211];
C_rsna2 = _PP[212];
CD_PN_loss_rate = _PP[213];
C_pt_water = _PP[214];
creatinine_synthesis_rate = _PP[215];
C_sglt2_delay = _PP[216];
SGLT2_inhibition = _PP[217];
C_ruge = _PP[218];

AngI = __zzStateVar__[0]*((double)(_ON[0]));
AngII = __zzStateVar__[1]*((double)(_ON[1]));
AT1_bound_AngII = __zzStateVar__[2]*((double)(_ON[2]));
AT2_bound_AngII = __zzStateVar__[3]*((double)(_ON[3]));
plasma_renin_concentration = __zzStateVar__[4]*((double)(_ON[4]));
blood_volume_L = __zzStateVar__[5]*((double)(_ON[5]));
extracellular_fluid_volume = __zzStateVar__[6]*((double)(_ON[6]));
sodium_amount = __zzStateVar__[7]*((double)(_ON[7]));
ECF_sodium_amount = __zzStateVar__[8]*((double)(_ON[8]));
stored_sodium = __zzStateVar__[9]*((double)(_ON[9]));
tubulo_glomerular_feedback_effect = __zzStateVar__[10]*((double)(_ON[10]));
normalized_aldosterone_level = __zzStateVar__[11]*((double)(_ON[11]));
preafferent_pressure_autoreg_signal = __zzStateVar__[12]*((double)(_ON[12]));
glomerular_pressure_autoreg_signal = __zzStateVar__[13]*((double)(_ON[13]));
F_out_dt_delay = __zzStateVar__[14]*((double)(_ON[14]));
cardiac_output_delayed = __zzStateVar__[15]*((double)(_ON[15]));
CO_error = __zzStateVar__[16]*((double)(_ON[16]));
Na_concentration_error = __zzStateVar__[17]*((double)(_ON[17]));
normalized_vasopressin_concentration_delayed = __zzStateVar__[18]*((double)(_ON[18]));
F0_TGF = __zzStateVar__[19]*((double)(_ON[19]));
P_bowmans = __zzStateVar__[20]*((double)(_ON[20]));
oncotic_pressure_difference = __zzStateVar__[21]*((double)(_ON[21]));
renal_blood_flow_L_min_delayed = __zzStateVar__[22]*((double)(_ON[22]));
renal_interstitial_hydrostatic_pressure = __zzStateVar__[23]*((double)(_ON[23]));
SN_macula_densa_Na_flow_delayed = __zzStateVar__[24]*((double)(_ON[24]));
rsna_delayed = __zzStateVar__[25]*((double)(_ON[25]));
rsna_delayed2 = __zzStateVar__[26]*((double)(_ON[26]));
disease_effects_increasing_Kf = __zzStateVar__[27]*((double)(_ON[27]));
disease_effects_decreasing_CD_PN = __zzStateVar__[28]*((double)(_ON[28]));
tubular_length_increase = __zzStateVar__[29]*((double)(_ON[29]));
tubular_diameter_increase = __zzStateVar__[30]*((double)(_ON[30]));
water_out_s1_delayed = __zzStateVar__[31]*((double)(_ON[31]));
water_out_s2_delayed = __zzStateVar__[32]*((double)(_ON[32]));
water_out_s3_delayed = __zzStateVar__[33]*((double)(_ON[33]));
reabsorbed_urea_cd_delayed = __zzStateVar__[34]*((double)(_ON[34]));
UGE = __zzStateVar__[35]*((double)(_ON[35]));
serum_creatinine = __zzStateVar__[36]*((double)(_ON[36]));
cumNaExcretion = __zzStateVar__[37]*((double)(_ON[37]));
cumWaterExcretion = __zzStateVar__[38]*((double)(_ON[38]));
cumCreatinineExcretion = __zzStateVar__[39]*((double)(_ON[39]));
RTg_compensation = __zzStateVar__[40]*((double)(_ON[40]));
SGLT2_inhibition_delayed = __zzStateVar__[41]*((double)(_ON[41]));
RUGE_delayed = __zzStateVar__[42]*((double)(_ON[42]));

number_of_functional_glomeruli=baseline_nephrons*(1-0.3*disease_effects_decreasing_Kf);
number_of_functional_tubules=baseline_nephrons*(1-disease_effect_on_nephrons);
tissue_autoregulation_signal=_max(2, (double) 0.1,(double)1+tissue_autoreg_scale*((Kp_CO/safe_zero(CO_scale_species))*(cardiac_output_delayed-CO_nom)+(Ki_CO/safe_zero(CO_scale_species))*CO_error));
AT1_svr_int=1-AT1_svr_slope*nominal_equilibrium_AT1_bound_AngII;
AT1_bound_AngII_effect_on_SVR=AT1_svr_int+AT1_svr_slope*AT1_bound_AngII;
rsna_svr_int=1-rsna_svr_slope;
rsna_effect_on_svr=rsna_svr_int+rsna_svr_slope*rsna_delayed;
systemic_arterial_resistance=nom_systemic_arterial_resistance*tissue_autoregulation_signal*AT1_bound_AngII_effect_on_SVR*rsna_effect_on_svr;
resistance_to_venous_return=((8*R_venous+systemic_arterial_resistance)/safe_zero(31));
mean_filling_pressure=nom_mean_filling_pressure+(blood_volume_L/safe_zero(BV_scale_species)-blood_volume_nom)/safe_zero(venous_compliance);
venous_return=((mean_filling_pressure)/safe_zero(resistance_to_venous_return));
cardiac_output=venous_return;
total_peripheral_resistance=systemic_arterial_resistance+R_venous;
mean_arterial_pressure_MAP=(cardiac_output*total_peripheral_resistance);
right_atrial_pressure=(nom_right_atrial_pressure*exp(blood_volume_L-5*BV_scale_species));
MAP_effect_on_rsna=0.5+1.0/safe_zero((1+exp((mean_arterial_pressure_MAP-nominal_map_setpoint)/safe_zero(map_rsna_slope))));
R_atrial_pressure_effect_on_rsna_int=1+rap_rsna_slope*nom_right_atrial_pressure;
R_atrial_pressure_effect_on_rsna=R_atrial_pressure_effect_on_rsna_int-rap_rsna_slope*right_atrial_pressure;
renal_sympathetic_nerve_activity=nom_rsna*MAP_effect_on_rsna*R_atrial_pressure_effect_on_rsna*BB_effect_on_RSNA;
rap_anp_intercept=1+rap_anp_slope/safe_zero(2);
normalized_atrial_NP_concentration=nom_ANP*((rap_anp_intercept-rap_anp_slope/safe_zero((1+exp(right_atrial_pressure-nom_right_atrial_pressure)))));
aldosterone_concentration=normalized_aldosterone_level*nominal_aldosterone_concentration;
Aldo_MR_normalised_effect=normalized_aldosterone_level*MR_antagonist_effect_on_aldo_MR;
AT1_preaff_int=1-AT1_preaff_scale/safe_zero(2);
AT1_effect_on_preaff=AT1_preaff_int+AT1_preaff_scale/safe_zero((1+exp(-(AT1_bound_AngII-nominal_equilibrium_AT1_bound_AngII)/safe_zero(AT1_preaff_slope))));
AT1_aff_int=1-AT1_aff_scale/safe_zero(2);
AT1_effect_on_aff=AT1_aff_int+AT1_aff_scale/safe_zero((1+exp(-(AT1_bound_AngII-nominal_equilibrium_AT1_bound_AngII)/safe_zero(AT1_aff_slope))));
AT1_eff_int=1-AT1_eff_scale/safe_zero(2);
AT1_effect_on_eff=AT1_eff_int+AT1_eff_scale/safe_zero((1+exp(-(AT1_bound_AngII-nominal_equilibrium_AT1_bound_AngII)/safe_zero(AT1_eff_slope))));
rsna_preaff_int=1-rsna_preaff_scale/safe_zero(2);
rsna_effect_on_preaff=rsna_preaff_int+rsna_preaff_scale/safe_zero((1+exp(-(renal_sympathetic_nerve_activity-nom_rsna)/safe_zero(rsna_preaff_slope))));
ANP_preaff_int=1+ANP_preaff_scale/safe_zero(2);
ANP_effect_on_preaff=ANP_preaff_int-ANP_preaff_scale/safe_zero((1+exp(-(normalized_atrial_NP_concentration-nom_ANP)/safe_zero(ANP_preaff_slope))));
ANP_aff_int=1+ANP_aff_scale/safe_zero(2);
ANP_effect_on_aff=ANP_aff_int-ANP_aff_scale/safe_zero((1+exp(-(normalized_atrial_NP_concentration-nom_ANP)/safe_zero(ANP_aff_slope))));
ANP_eff_int=1+ANP_eff_scale/safe_zero(2);
ANP_effect_on_eff=ANP_eff_int-ANP_eff_scale/safe_zero((1+exp(-(normalized_atrial_NP_concentration-nom_ANP)/safe_zero(ANP_eff_slope))));
preaff_arteriole_signal_multiplier=AT1_effect_on_preaff*rsna_effect_on_preaff*ANP_effect_on_preaff*(preafferent_pressure_autoreg_signal)*CCB_effect_on_preafferent_resistance;
preaff_arteriole_adjusted_signal_multiplier=(1/safe_zero((1+exp(preaff_signal_nonlin_scale*(1-preaff_arteriole_signal_multiplier))))+0.5);
preafferent_arteriole_resistance=nom_preafferent_arteriole_resistance*preaff_arteriole_adjusted_signal_multiplier;
nom_afferent_arteriole_resistance=L_m3*viscosity_length_constant/safe_zero((Rx_pow(_as_dbleps(nom_afferent_diameter),4)));
afferent_arteriole_signal_multiplier=tubulo_glomerular_feedback_effect*AT1_effect_on_aff*ANP_effect_on_aff*glomerular_pressure_autoreg_signal*CCB_effect_on_afferent_resistance;
afferent_arteriole_adjusted_signal_multiplier=(1/safe_zero((1+exp(afferent_signal_nonlin_scale*(1-afferent_arteriole_signal_multiplier))))+0.5);
afferent_arteriole_resistance=nom_afferent_arteriole_resistance*afferent_arteriole_adjusted_signal_multiplier;
nom_efferent_arteriole_resistance=L_m3*viscosity_length_constant/safe_zero((Rx_pow(_as_dbleps(nom_efferent_diameter),4)));
efferent_arteriole_signal_multiplier=AT1_effect_on_eff*ANP_effect_on_eff*CCB_effect_on_efferent_resistance;
efferent_arteriole_adjusted_signal_multiplier=1/safe_zero((1+exp(efferent_signal_nonlin_scale*(1-efferent_arteriole_signal_multiplier))))+0.5;
efferent_arteriole_resistance=nom_efferent_arteriole_resistance*efferent_arteriole_adjusted_signal_multiplier;
RBF_autoreg_int=1-RBF_autoreg_scale/safe_zero(2);
peritubular_autoreg_signal=RBF_autoreg_int+RBF_autoreg_scale/safe_zero((1+exp((nom_renal_blood_flow_L_min-renal_blood_flow_L_min_delayed)/safe_zero(RBF_autoreg_steepness))));
autoregulated_peritubular_resistance=peritubular_autoreg_signal*nom_peritubular_resistance;
renal_vascular_resistance=(preafferent_arteriole_resistance+(afferent_arteriole_resistance+efferent_arteriole_resistance)/safe_zero(number_of_functional_glomeruli)+autoregulated_peritubular_resistance);
renal_blood_flow_L_min=((mean_arterial_pressure_MAP-P_venous)/safe_zero(renal_vascular_resistance));
renal_blood_flow_ml_hr=renal_blood_flow_L_min*1000*60;
preafferent_pressure=mean_arterial_pressure_MAP-renal_blood_flow_L_min*preafferent_arteriole_resistance;
glomerular_pressure=(mean_arterial_pressure_MAP-renal_blood_flow_L_min*(preafferent_arteriole_resistance+afferent_arteriole_resistance/safe_zero(number_of_functional_glomeruli)));
postglomerular_pressure=(mean_arterial_pressure_MAP-renal_blood_flow_L_min*(preafferent_arteriole_resistance+(afferent_arteriole_resistance+efferent_arteriole_resistance)/safe_zero(number_of_functional_glomeruli)));
preaff_autoreg_int=1-preaff_autoreg_scale/safe_zero(2);
preafferent_pressure_autoreg_function=preaff_autoreg_int+preaff_autoreg_scale/safe_zero((1+exp((nom_preafferent_pressure-preafferent_pressure)/safe_zero(myogenic_steepness))));
gp_autoreg_int=1-gp_autoreg_scale/safe_zero(2);
glomerular_pressure_autoreg_function=gp_autoreg_int+gp_autoreg_scale/safe_zero((1+exp((nom_glomerular_pressure-glomerular_pressure)/safe_zero(myogenic_steepness))));
GP_effect_increasing_Kf=(maximal_glom_surface_area_increase-disease_effects_increasing_Kf)*_max(2, (double) glomerular_pressure/safe_zero((nom_glomerular_pressure+2))-1,(double)0)/safe_zero(T_glomerular_pressure_increases_Kf);
temp=glomerular_pressure/safe_zero((nom_glomerular_pressure+2));
glomerular_hydrostatic_conductance_Kf=nom_Kf*(1+disease_effects_increasing_Kf)*(1-disease_effects_decreasing_Kf);
net_filtration_pressure=glomerular_pressure-oncotic_pressure_difference-P_bowmans;
SNGFR_nL_min=glomerular_hydrostatic_conductance_Kf*(glomerular_pressure-oncotic_pressure_difference-P_bowmans);
GFR=(SNGFR_nL_min/safe_zero(1000)/safe_zero(1000000)*number_of_functional_tubules);
GFR_ml_min=GFR*1000;
serum_creatinine_concentration=serum_creatinine/safe_zero(blood_volume_L);
creatinine_clearance_rate=GFR_ml_min*dl_ml*serum_creatinine_concentration;
GPdiff=_max(2, (double) 0,(double)glomerular_pressure-(nom_GP_seiving_damage));
GP_effect_on_Seiving=Emax_seiving*Rx_pow(_as_dbleps(GPdiff),Gamma_seiving)/safe_zero((Rx_pow(_as_dbleps(GPdiff),Gamma_seiving)+Rx_pow(_as_dbleps(Km_seiving),Gamma_seiving)));
nom_glomerular_albumin_sieving_coefficient=seiving_inf/safe_zero((1-(1-seiving_inf)*exp(-c_albumin*SNGFR_nL_min)));
glomerular_albumin_sieving_coefficient=nom_glomerular_albumin_sieving_coefficient*(1+GP_effect_on_Seiving);
SN_albumin_filtration_rate=plasma_albumin_concentration*SNGFR_nL_min*1e-6*glomerular_albumin_sieving_coefficient;
SN_albumin_excretion_rate=_max(2, (double) 0,(double)SN_albumin_filtration_rate-SN_albumin_reabsorptive_capacity)+nom_albumin_excretion_rate;
albumin_excretion_rate=SN_albumin_excretion_rate*number_of_functional_tubules;
Oncotic_pressure_in=1.629*plasma_protein_concentration+0.2935*(Rx_pow(_as_dbleps(plasma_protein_concentration),2));
SNRBF_nl_min=1e6*1000*renal_blood_flow_L_min/safe_zero(number_of_functional_glomeruli);
plasma_protein_concentration_out=(SNRBF_nl_min*plasma_protein_concentration-SN_albumin_filtration_rate)/safe_zero((SNRBF_nl_min-SNGFR_nL_min));
Oncotic_pressure_out=1.629*plasma_protein_concentration_out+0.2935*(Rx_pow(_as_dbleps(plasma_protein_concentration_out),2));
oncotic_pressure_avg=(Oncotic_pressure_in+Oncotic_pressure_out)/safe_zero(2);
Na_concentration=sodium_amount/safe_zero(blood_volume_L);
ECF_Na_concentration=ECF_sodium_amount/safe_zero(extracellular_fluid_volume);
sodium_storate_rate=Q_Na_store*((max_stored_sodium-stored_sodium)/safe_zero(max_stored_sodium))*(ECF_Na_concentration-ref_Na_concentration);
Na_water_controller=Na_controller_gain*(Kp_VP*(Na_concentration-ref_Na_concentration)+Ki_VP*Na_concentration_error);
normalized_vasopressin_concentration=1+Na_water_controller;
vasopressin_concentration=nominal_vasopressin_conc*normalized_vasopressin_concentration;
water_intake_vasopressin_int=1-water_intake_vasopressin_scale/safe_zero(2);
water_intake=water_intake_species_scale*(nom_water_intake/safe_zero(60)/safe_zero(24))*(water_intake_vasopressin_int+water_intake_vasopressin_scale/safe_zero((1+exp((normalized_vasopressin_concentration_delayed-1)/safe_zero(water_intake_vasopressin_slope)))));
daily_water_intake=(water_intake*24*60);
L_pt_s1=L_pt_s1_nom*(1+tubular_length_increase);
L_pt_s2=L_pt_s2_nom*(1+tubular_length_increase);
L_pt_s3=L_pt_s3_nom*(1+tubular_length_increase);
Dc_pt=Dc_pt_nom*(1+tubular_diameter_increase);
L_pt=L_pt_s1+L_pt_s2+L_pt_s3;
SN_filtered_Na_load=(SNGFR_nL_min/safe_zero(1000)/safe_zero(1000000))*Na_concentration;
filtered_Na_load=SN_filtered_Na_load*number_of_functional_tubules;
pressure_natriuresis_PT_int=1-pressure_natriuresis_PT_scale/safe_zero(2);
pressure_natriuresis_PT_effect=_max(2, (double) 0.001,(double)pressure_natriuresis_PT_int+pressure_natriuresis_PT_scale/safe_zero((1+exp((postglomerular_pressure-RIHP0)/safe_zero(pressure_natriuresis_PT_slope)))));
pressure_natriuresis_LoH_int=1-pressure_natriuresis_LoH_scale/safe_zero(2);
pressure_natriuresis_LoH_effect=_max(2, (double) 0.001,(double)pressure_natriuresis_LoH_int+pressure_natriuresis_LoH_scale/safe_zero((1+exp((postglomerular_pressure-RIHP0)/safe_zero(pressure_natriuresis_LoH_slope)))));
pressure_natriuresis_DCT_magnitude=_max(2, (double) 0,(double)pressure_natriuresis_DCT_scale);
pressure_natriuresis_DCT_int=1-pressure_natriuresis_DCT_magnitude/safe_zero(2);
pressure_natriuresis_DCT_effect=_max(2, (double) 0.001,(double)pressure_natriuresis_DCT_int+pressure_natriuresis_DCT_magnitude/safe_zero((1+exp((postglomerular_pressure-RIHP0)/safe_zero(pressure_natriuresis_DCT_slope)))));
pressure_natriuresis_CD_magnitude=_max(2, (double) 0,(double)pressure_natriuresis_CD_scale*(1+disease_effects_decreasing_CD_PN));
pressure_natriuresis_CD_int=1-pressure_natriuresis_CD_magnitude/safe_zero(2);
pressure_natriuresis_CD_effect=_max(2, (double) 0.001,(double)pressure_natriuresis_CD_int+pressure_natriuresis_CD_magnitude/safe_zero((1+exp((postglomerular_pressure-RIHP0)/safe_zero(pressure_natriuresis_CD_slope)))));
AT1_PT_int=1-AT1_PT_scale/safe_zero(2);
AT1_effect_on_PT=AT1_PT_int+AT1_PT_scale/safe_zero((1+exp(-(AT1_bound_AngII-nominal_equilibrium_AT1_bound_AngII)/safe_zero(AT1_PT_slope))));
rsna_PT_int=1-rsna_PT_scale/safe_zero(2);
rsna_effect_on_PT=rsna_PT_int+rsna_PT_scale/safe_zero((1+exp((1-rsna_delayed2)/safe_zero(rsna_PT_slope))));
rsna_CD_int=1-rsna_CD_scale/safe_zero(2);
rsna_effect_on_CD=rsna_CD_int+rsna_CD_scale/safe_zero((1+exp((1-renal_sympathetic_nerve_activity)/safe_zero(rsna_CD_slope))));
aldo_DCT_int=1-aldo_DCT_scale/safe_zero(2);
aldo_effect_on_DCT=aldo_DCT_int+aldo_DCT_scale/safe_zero((1+exp((1-Aldo_MR_normalised_effect)/safe_zero(aldo_DCT_slope))));
aldo_CD_int=1-aldo_CD_scale/safe_zero(2);
aldo_effect_on_CD=aldo_CD_int+aldo_CD_scale/safe_zero((1+exp((1-Aldo_MR_normalised_effect)/safe_zero(aldo_CD_slope))));
anp_CD_int=1-anp_CD_scale/safe_zero(2);
anp_effect_on_CD=anp_CD_int+anp_CD_scale/safe_zero((1+exp((1-normalized_atrial_NP_concentration)/safe_zero(anp_CD_slope))));
NHE3inhib=Anhe3*RUGE_delayed;
pt_multiplier=AT1_effect_on_PT*rsna_effect_on_PT*pressure_natriuresis_PT_effect*(1-NHE3inhib);
e_pt_sodreab=_min(2, (double) 1,(double)nominal_pt_na_reabsorption*pt_multiplier);
e_dct_sodreab=_min(2, (double) 1,(double)nominal_dt_na_reabsorption*aldo_effect_on_DCT*pressure_natriuresis_DCT_effect*HCTZ_effect_on_DT_Na_reabs);
cd_multiplier=anp_effect_on_CD*aldo_effect_on_CD*rsna_effect_on_CD*pressure_natriuresis_CD_effect;
cd_scale=max_cd_reabs_rate/safe_zero(nominal_cd_na_reabsorption)-1;
e_cd_sodreab=_min(2, (double) 1,(double)nominal_cd_na_reabsorption*cd_multiplier);
glucose_reabs_per_unit_length_s1=nom_glucose_reabs_per_unit_length_s1*diabetic_adaptation*SGLT2_inhibition_delayed*(1+RTg_compensation);
glucose_reabs_per_unit_length_s2=nom_glucose_reabs_per_unit_length_s2*diabetic_adaptation*SGLT2_inhibition_delayed*(1+RTg_compensation);
glucose_reabs_per_unit_length_s3=nom_glucose_reabs_per_unit_length_s3*diabetic_adaptation*(1+RTg_compensation)*SGLT1_inhibition;
SN_filtered_glucose_load=glucose_concentration*SNGFR_nL_min/safe_zero(1000)/safe_zero(1000000);
glucose_pt_out_s1=_max(2, (double) 0,(double)SN_filtered_glucose_load-glucose_reabs_per_unit_length_s1*L_pt_s1);
glucose_pt_out_s2=_max(2, (double) 0,(double)glucose_pt_out_s1-glucose_reabs_per_unit_length_s2*L_pt_s2);
glucose_pt_out_s3=_max(2, (double) 0,(double)glucose_pt_out_s2-glucose_reabs_per_unit_length_s3*L_pt_s3);
RUGE=glucose_pt_out_s3*number_of_functional_tubules*180;
excess_glucose_increasing_RTg=(maximal_RTg_increase-RTg_compensation)*_max(2, (double) RUGE,(double)0)/safe_zero(T_glucose_RTg);
osmotic_natriuresis_effect_pt=1-_min(2, (double) 1,(double)RUGE*glucose_natriuresis_effect_pt);
osmotic_natriuresis_effect_cd=1-_min(2, (double) 1,(double)RUGE*glucose_natriuresis_effect_cd);
osmotic_diuresis_effect_pt=1-_min(2, (double) 1,(double)RUGE*glucose_diuresis_effect_pt);
osmotic_diuresis_effect_cd=1-_min(2, (double) 1,(double)RUGE*glucose_diuresis_effect_cd);
SN_filtered_Na_load=(SNGFR_nL_min/safe_zero(1000)/safe_zero(1000000))*Na_concentration;
SGTL2_Na_reabs_mmol_s1=SN_filtered_glucose_load-glucose_pt_out_s1;
SGTL2_Na_reabs_mmol_s2=glucose_pt_out_s1-glucose_pt_out_s2;
SGTL1_Na_reabs_mmol=2*(glucose_pt_out_s2-glucose_pt_out_s3);
total_SGLT2_Na_reabs=SGTL2_Na_reabs_mmol_s1+SGTL2_Na_reabs_mmol_s2+SGTL1_Na_reabs_mmol;
e_pt_sodreab_adj=e_pt_sodreab*osmotic_natriuresis_effect_pt-0.039;
Na_reabs_per_unit_length=-_safe_log(1-e_pt_sodreab)/safe_zero((L_pt_s1+L_pt_s2+L_pt_s3));
Na_pt_s1_reabs=_min(2, (double) max_s1_Na_reabs,(double)SN_filtered_Na_load*(1-exp(-Na_reabs_per_unit_length*L_pt_s1)));
Na_pt_out_s1=SN_filtered_Na_load-Na_pt_s1_reabs-SGTL2_Na_reabs_mmol_s1;
Na_pt_s2_reabs=_min(2, (double) max_s2_Na_reabs,(double)Na_pt_out_s1*(1-exp(-Na_reabs_per_unit_length*L_pt_s2)));
Na_pt_out_s2=Na_pt_out_s1-Na_pt_s2_reabs-SGTL2_Na_reabs_mmol_s2;
Na_pt_s3_reabs=_min(2, (double) max_s3_Na_reabs,(double)Na_pt_out_s2*(1-exp(-Na_reabs_per_unit_length*L_pt_s3)));
Na_pt_out_s3=Na_pt_out_s2-Na_pt_s3_reabs-SGTL1_Na_reabs_mmol;
PT_Na_reabs_fraction=1-Na_pt_out_s3/safe_zero(SN_filtered_Na_load);
SN_filtered_urea_load=(SNGFR_nL_min/safe_zero(1000)/safe_zero(1000000))*plasma_urea;
urea_out_s1=SN_filtered_urea_load-urea_permeability_PT*(SN_filtered_urea_load/safe_zero((0.5*((SNGFR_nL_min/safe_zero(1000)/safe_zero(1000000))+water_out_s1_delayed)))-plasma_urea)*water_out_s1_delayed;
urea_out_s2=urea_out_s1-urea_permeability_PT*(urea_out_s1/safe_zero((0.5*(water_out_s1_delayed+water_out_s2_delayed)))-plasma_urea)*water_out_s2_delayed;
urea_out_s3=urea_out_s2-urea_permeability_PT*(urea_out_s2/safe_zero((0.5*(water_out_s2_delayed+water_out_s3_delayed)))-plasma_urea)*water_out_s3_delayed;
urea_reabsorption_fraction=1-urea_out_s3/safe_zero(SN_filtered_urea_load);
osmoles_out_s1=2*Na_pt_out_s1+glucose_pt_out_s1+urea_out_s1;
water_out_s1=(((SNGFR_nL_min/safe_zero(1000)/safe_zero(1000000))/safe_zero((2*SN_filtered_Na_load+SN_filtered_glucose_load+SN_filtered_urea_load))))*osmoles_out_s1;
osmoles_out_s2=2*Na_pt_out_s2+glucose_pt_out_s2+urea_out_s2;
water_out_s2=(water_out_s1/safe_zero(osmoles_out_s1))*osmoles_out_s2;
osmoles_out_s3=2*Na_pt_out_s3+glucose_pt_out_s3+urea_out_s3;
water_out_s3=(water_out_s2/safe_zero(osmoles_out_s2))*osmoles_out_s3;
PT_water_reabs_fraction=1-water_out_s3/safe_zero((SNGFR_nL_min/safe_zero(1000)/safe_zero(1000000)));
Na_concentration_out_s1=Na_pt_out_s1/safe_zero(water_out_s1);
Na_concentration_out_s2=Na_pt_out_s2/safe_zero(water_out_s2);
Na_concentration_out_s3=Na_pt_out_s3/safe_zero(water_out_s3);
glucose_concentration_out_s1=glucose_pt_out_s1/safe_zero(water_out_s1);
glucose_concentration_out_s2=glucose_pt_out_s2/safe_zero(water_out_s2);
glucose_concentration_out_s3=glucose_pt_out_s3/safe_zero(water_out_s3);
urea_concentration_out_s1=urea_out_s1/safe_zero(water_out_s1);
urea_concentration_out_s2=urea_out_s2/safe_zero(water_out_s2);
urea_concentration_out_s3=urea_out_s3/safe_zero(water_out_s3);
osmolality_out_s1=osmoles_out_s1/safe_zero(water_out_s1);
osmolality_out_s2=osmoles_out_s2/safe_zero(water_out_s2);
osmolality_out_s3=osmoles_out_s3/safe_zero(water_out_s3);
PT_Na_outflow=Na_pt_out_s3*number_of_functional_tubules;
PT_Na_reab_perUnitSA=SN_filtered_Na_load*e_pt_sodreab/safe_zero((3.14*Dc_pt*(L_pt_s1+L_pt_s2+L_pt_s3)));
normalized_PT_reabsorption_density=PT_Na_reab_perUnitSA/safe_zero(PT_Na_reab_perUnitSA_0);
water_in_DescLoH=water_out_s3;
Na_in_DescLoH=Na_pt_out_s3;
urea_in_DescLoH=urea_out_s3;
glucose_in_DescLoH=glucose_pt_out_s3;
osmoles_in_DescLoH=osmoles_out_s3;
Na_concentration_in_DescLoH=Na_concentration_out_s3;
Urea_concentration_in_DescLoH=urea_concentration_out_s3;
glucose_concentration_in_DescLoH=glucose_concentration_out_s3;
osmolality_in_DescLoH=osmoles_out_s3/safe_zero(water_out_s3);
Na_out_DescLoH=Na_in_DescLoH;
urea_out_DescLoH=urea_in_DescLoH;
glucose_out_DescLoH=glucose_in_DescLoH;
osmoles_out_DescLoH=osmoles_in_DescLoH;
deltaLoH_NaFlow=_min(2, (double) max_deltaLoH_reabs,(double)LoH_flow_dependence*(Na_out_DescLoH-nom_Na_in_AscLoH));
AscLoH_Reab_Rate=(2*nominal_loh_na_reabsorption*(nom_Na_in_AscLoH+deltaLoH_NaFlow)*loop_diuretic_effect)/safe_zero(L_lh_des);
effective_AscLoH_Reab_Rate=AscLoH_Reab_Rate*pressure_natriuresis_LoH_effect;
osmolality_out_DescLoH=osmolality_in_DescLoH*exp(_min(2, (double) effective_AscLoH_Reab_Rate*L_lh_des,(double)2*Na_in_DescLoH)/safe_zero((water_in_DescLoH*osmolality_in_DescLoH)));
water_out_DescLoH=water_in_DescLoH*osmolality_in_DescLoH/safe_zero(osmolality_out_DescLoH);
Na_concentration_out_DescLoH=Na_out_DescLoH/safe_zero(water_out_DescLoH);
glucose_concentration_out_DescLoH=glucose_out_DescLoH/safe_zero(water_out_DescLoH);
urea_concentration_out_DescLoH=urea_out_DescLoH/safe_zero(water_out_DescLoH);
Na_in_AscLoH=Na_out_DescLoH;
urea_in_AscLoH_before_secretion=urea_out_DescLoH;
glucose_in_AscLoH=glucose_out_DescLoH;
osmoles_in_AscLoH_before_secretion=osmoles_out_DescLoH;
water_in_AscLoH=water_out_DescLoH;
urea_in_AscLoH=urea_in_AscLoH_before_secretion+reabsorbed_urea_cd_delayed;
urea_concentration_in_AscLoH=urea_in_AscLoH/safe_zero(water_out_DescLoH);
osmoles_in_AscLoH=osmoles_in_AscLoH_before_secretion+reabsorbed_urea_cd_delayed;
osmolality_in_AscLoH=osmoles_in_AscLoH/safe_zero(water_in_AscLoH);
osmolality_out_AscLoH=osmolality_in_AscLoH-_min(2, (double) L_lh_des*effective_AscLoH_Reab_Rate,(double)2*Na_in_DescLoH)*(exp(_min(2, (double) L_lh_des*effective_AscLoH_Reab_Rate,(double)2*Na_in_DescLoH)/safe_zero((water_in_DescLoH*osmolality_in_DescLoH)))/safe_zero(water_in_DescLoH));
osmoles_reabsorbed_AscLoH=(osmolality_in_AscLoH-osmolality_out_AscLoH)*water_in_AscLoH;
Na_reabsorbed_AscLoH=osmoles_reabsorbed_AscLoH/safe_zero(2);
Na_out_AscLoH=_max(2, (double) 0,(double)Na_in_AscLoH-Na_reabsorbed_AscLoH);
urea_out_AscLoH=urea_in_AscLoH;
glucose_out_AscLoH=glucose_in_AscLoH;
water_out_AscLoH=water_in_AscLoH;
osmoles_out_AscLoH=osmolality_out_AscLoH*water_out_AscLoH;
Na_concentration_out_AscLoH=Na_out_AscLoH/safe_zero(water_out_AscLoH);
glucose_concentration_out_AscLoH=glucose_out_AscLoH/safe_zero(water_out_AscLoH);
urea_concentration_out_AscLoH=urea_out_AscLoH/safe_zero(water_out_AscLoH);
LoH_reabs_fraction=1-Na_out_AscLoH/safe_zero(Na_in_AscLoH);
SN_macula_densa_Na_flow=Na_out_AscLoH;
MD_Na_concentration=Na_concentration_out_AscLoH;
TGF0_tubulo_glomerular_feedback=1-S_tubulo_glomerular_feedback/safe_zero(2);
tubulo_glomerular_feedback_signal=(TGF0_tubulo_glomerular_feedback+S_tubulo_glomerular_feedback/safe_zero((1+exp((MD_Na_concentration_setpoint-MD_Na_concentration)/safe_zero(F_md_scale_tubulo_glomerular_feedback)))));
water_in_DCT=water_out_AscLoH;
Na_in_DCT=Na_out_AscLoH;
urea_in_DCT=urea_out_AscLoH;
glucose_in_DCT=glucose_out_AscLoH;
osmoles_in_DCT=osmoles_out_AscLoH;
Na_concentration_in_DCT=Na_concentration_out_AscLoH;
urea_concentration_in_DCT=urea_concentration_out_AscLoH;
glucose_concentration_in_DCT=glucose_concentration_out_AscLoH;
osmolality_in_DCT=osmolality_out_AscLoH;
urea_out_DCT=urea_in_DCT;
glucose_out_DCT=glucose_in_DCT;
water_out_DCT=water_in_DCT;
urea_concentration_out_DCT=urea_out_DCT/safe_zero(water_out_DCT);
glucose_concentration_out_DCT=glucose_out_DCT/safe_zero(water_out_DCT);
R_dct=-_safe_log(1-e_dct_sodreab)/safe_zero(L_dct);
Na_out_DCT=Na_in_DCT*exp(-R_dct*L_dct);
Na_concentration_out_DCT=Na_out_DCT/safe_zero(water_out_DCT);
osmolality_out_DCT=2*Na_concentration_out_DCT+glucose_concentration_out_DescLoH+urea_concentration_in_AscLoH;
osmoles_out_DCT=osmolality_out_DCT*water_out_DCT;
DCT_Na_reabs_fraction=1-Na_out_DCT/safe_zero(Na_in_DCT);
water_in_CD=water_out_DCT;
Na_in_CD=Na_out_DCT;
urea_in_CD=urea_out_DCT;
glucose_in_CD=glucose_out_DCT;
osmoles_in_CD=osmoles_out_DCT;
osmolality_in_CD=osmoles_in_CD/safe_zero(water_in_CD);
Na_concentration_in_CD=Na_concentration_out_DCT;
urea_concentration_in_CD=urea_concentration_out_DCT;
glucose_concentration_in_CD=glucose_concentration_out_DCT;
osmotic_diuresis_effect_cd=1-_min(2, (double) 1,(double)RUGE*glucose_diuresis_effect_cd);
e_cd_sodreab_adj=e_cd_sodreab*osmotic_natriuresis_effect_cd;
R_cd=-_safe_log(1-e_cd_sodreab_adj)/safe_zero(L_cd);
Na_reabsorbed_CD=_min(2, (double) Na_in_CD*(1-exp(-R_cd*L_cd)),(double)CD_Na_reabs_threshold);
Na_out_CD=Na_in_CD-Na_reabsorbed_CD;
CD_Na_reabs_fraction=1-Na_out_CD/safe_zero(Na_in_CD);
ADH_water_permeability_old=_min(2, (double) 1,(double)_max(2, (double) 0,(double)nom_ADH_water_permeability*normalized_vasopressin_concentration));
ADH_water_permeability=normalized_vasopressin_concentration/safe_zero((0.15+normalized_vasopressin_concentration));
osmoles_out_CD=osmoles_in_CD-2*(Na_in_CD-Na_out_CD);
osmolality_out_CD_before_osmotic_reabsorption=osmoles_out_CD/safe_zero(water_in_CD);
water_reabsorbed_CD=ADH_water_permeability*osmotic_diuresis_effect_cd*water_in_CD*(1-osmolality_out_CD_before_osmotic_reabsorption/safe_zero(osmolality_out_DescLoH));
water_out_CD=water_in_CD-water_reabsorbed_CD;
osmolality_out_CD_after_osmotic_reabsorption=osmoles_out_CD/safe_zero(water_out_CD);
glucose_concentration_after_urea_reabsorption=glucose_in_CD/safe_zero(water_out_CD);
urine_flow_rate=water_out_CD*number_of_functional_tubules;
daily_urine_flow=(urine_flow_rate*60*24);
Na_excretion_via_urine=Na_out_CD*number_of_functional_tubules;
Na_balance=Na_intake_rate-Na_excretion_via_urine;
water_balance=daily_water_intake-daily_urine_flow;
FENA=Na_excretion_via_urine/safe_zero(filtered_Na_load);
PT_fractional_glucose_reabs=(SN_filtered_glucose_load-glucose_pt_out_s3)/safe_zero(SN_filtered_glucose_load);
PT_fractional_Na_reabs=(SN_filtered_Na_load-Na_pt_out_s3)/safe_zero(SN_filtered_Na_load);
PT_fractional_urea_reabs=(SN_filtered_urea_load-urea_out_s3)/safe_zero(SN_filtered_urea_load);
PT_fractional_water_reabs=((SNGFR_nL_min/safe_zero(1000)/safe_zero(1000000))-water_out_s3)/safe_zero((SNGFR_nL_min/safe_zero(1000)/safe_zero(1000000)));
LoH_fractional_Na_reabs=(Na_in_DescLoH-Na_out_AscLoH)/safe_zero(Na_in_DescLoH);
LoH_fractional_urea_reabs=(urea_in_DescLoH-urea_out_AscLoH)/safe_zero(urea_in_DescLoH);
LoH_fractional_water_reabs=(water_in_DescLoH-water_out_AscLoH)/safe_zero(water_in_DescLoH);
DCT_fractional_Na_reabs=(Na_in_DCT-Na_out_DCT)/safe_zero(Na_in_DCT);
CD_fractional_Na_reabs=(Na_in_CD-Na_out_CD)/safe_zero(Na_in_CD);
CD_OM_fractional_water_reabs=(water_in_CD-water_out_CD)/safe_zero(water_in_CD);
Oncotic_pressure_peritubular_in=Oncotic_pressure_out;
plasma_protein_concentration_peritubular_out=(SNRBF_nl_min)*plasma_protein_concentration/safe_zero((SNRBF_nl_min-urine_flow_rate*1e6*1000/safe_zero(number_of_functional_glomeruli)));
Oncotic_pressure_peritubular_out=1.629*plasma_protein_concentration_peritubular_out+0.2935*(Rx_pow(_as_dbleps(plasma_protein_concentration_peritubular_out),2));
oncotic_pressure_peritubular_avg=(Oncotic_pressure_peritubular_in+Oncotic_pressure_peritubular_out)/safe_zero(2);
tubular_reabsorption=GFR_ml_min/safe_zero(1000)-urine_flow_rate;
RIHP=postglomerular_pressure-(oncotic_pressure_peritubular_avg-interstitial_oncotic_pressure)+tubular_reabsorption/safe_zero(nom_peritubular_cap_Kf);
Pc_pt_s1=Pc_pt_s1_mmHg*mmHg_Nperm2_conv;
Pc_pt_s2=Pc_pt_s2_mmHg*mmHg_Nperm2_conv;
Pc_pt_s3=Pc_pt_s3_mmHg*mmHg_Nperm2_conv;
Pc_lh_des=Pc_lh_des_mmHg*mmHg_Nperm2_conv;
Pc_lh_asc=Pc_lh_asc_mmHg*mmHg_Nperm2_conv;
Pc_dt=Pc_dt_mmHg*mmHg_Nperm2_conv;
Pc_cd=Pc_cd_mmHg*mmHg_Nperm2_conv;
P_interstitial=4.9*mmHg_Nperm2_conv;
B1=(4*tubular_compliance+1)*128*gamma/safe_zero(pi);
mean_cd_water_flow=(water_in_CD-water_out_CD)/safe_zero(2);
B2_cd=(Rx_pow(_as_dbleps(Pc_cd),(4*tubular_compliance)))/safe_zero((Rx_pow(_as_dbleps(Dc_cd),4)));
P_in_cd=Rx_pow(_as_dbleps((Rx_pow(_as_dbleps(0),(4*tubular_compliance+1))+B1*B2_cd*(mean_cd_water_flow/safe_zero(1e3))*L_cd)),(1/safe_zero((4*tubular_compliance+1))));
P_in_cd_mmHg=(P_in_cd+P_interstitial)/safe_zero(mmHg_Nperm2_conv);
B2_dt=(Rx_pow(_as_dbleps(Pc_dt),(4*tubular_compliance)))/safe_zero((Rx_pow(_as_dbleps(Dc_dt),4)));
P_in_dt=Rx_pow(_as_dbleps((Rx_pow(_as_dbleps(P_in_cd),(4*tubular_compliance+1))+B1*B2_dt*(water_in_DCT/safe_zero(1e3))*L_dct)),(1/safe_zero((4*tubular_compliance+1))));
P_in_dt_mmHg=(P_in_dt+P_interstitial)/safe_zero(mmHg_Nperm2_conv);
B2_lh_asc=(Rx_pow(_as_dbleps(Pc_lh_asc),(4*tubular_compliance)))/safe_zero((Rx_pow(_as_dbleps(Dc_lh),4)));
P_in_lh_asc=Rx_pow(_as_dbleps((Rx_pow(_as_dbleps(P_in_dt),(4*tubular_compliance+1))+B1*B2_lh_asc*(water_in_AscLoH/safe_zero(1e3))*L_lh_asc)),(1/safe_zero((4*tubular_compliance+1))));
P_in_lh_asc_mmHg=(P_in_lh_asc+P_interstitial)/safe_zero(mmHg_Nperm2_conv);
A_lh_des=effective_AscLoH_Reab_Rate/safe_zero((water_in_DescLoH*osmolality_in_DescLoH));
B2_lh_des=(Rx_pow(_as_dbleps(Pc_lh_des),(4*tubular_compliance)))*(water_in_DescLoH/safe_zero(1e3))/safe_zero(((Rx_pow(_as_dbleps(Dc_lh),4))*A_lh_des));
P_in_lh_des=Rx_pow(_as_dbleps((Rx_pow(_as_dbleps(P_in_lh_asc),(4*tubular_compliance+1))+B1*B2_lh_des*(1-exp(-A_lh_des*L_lh_des)))),(1/safe_zero((4*tubular_compliance+1))));
P_in_lh_des_mmHg=(P_in_lh_des+P_interstitial)/safe_zero(mmHg_Nperm2_conv);
Rurea=(SN_filtered_urea_load-urea_out_s3)/safe_zero((L_pt_s1+L_pt_s2+L_pt_s3));
urea_in_s2=SN_filtered_urea_load-Rurea*L_pt_s1;
urea_in_s3=SN_filtered_urea_load-Rurea*(L_pt_s1+L_pt_s2);
A_na=Na_reabs_per_unit_length;
flow_integral_s3=2*(Na_pt_out_s2/safe_zero(A_na))*(1-exp(-A_na*L_pt_s3))-(3/safe_zero(2))*glucose_pt_out_s2*Rx_pow(_as_dbleps(L_pt_s3),2)+urea_in_s3*L_pt_s3-(1/safe_zero(2))*Rurea*(Rx_pow(_as_dbleps(L_pt_s3),2));
flow_integral_s2=2*(Na_pt_out_s1/safe_zero(A_na))*(1-exp(-A_na*L_pt_s2))-(1/safe_zero(2))*glucose_pt_out_s1*Rx_pow(_as_dbleps(L_pt_s2),2)+urea_in_s2*L_pt_s2-(1/safe_zero(2))*Rurea*(Rx_pow(_as_dbleps(L_pt_s2),2));
flow_integral_s1=2*(SN_filtered_Na_load/safe_zero(A_na))*(1-exp(-A_na*L_pt_s1))-(1/safe_zero(2))*SN_filtered_glucose_load*Rx_pow(_as_dbleps(L_pt_s1),2)+SN_filtered_urea_load*L_pt_s1-(1/safe_zero(2))*Rurea*(Rx_pow(_as_dbleps(L_pt_s1),2));
B2_pt_s3=(Rx_pow(_as_dbleps(Pc_pt_s3),(4*tubular_compliance)))/safe_zero((Rx_pow(_as_dbleps(Dc_pt),4)));
B3_pt_s3=(water_out_s2/safe_zero(1e3))/safe_zero(osmoles_out_s2);
P_in_pt_s3=Rx_pow(_as_dbleps((Rx_pow(_as_dbleps(P_in_lh_des),(4*tubular_compliance+1))+B1*B2_pt_s3*B3_pt_s3*flow_integral_s3)),(1/safe_zero((4*tubular_compliance+1))));
P_in_pt_s3_mmHg=(P_in_pt_s3+P_interstitial)/safe_zero(mmHg_Nperm2_conv);
B2_pt_s2=(Rx_pow(_as_dbleps(Pc_pt_s3),(4*tubular_compliance)))/safe_zero((Rx_pow(_as_dbleps(Dc_pt),4)));
B3_pt_s2=(water_out_s1/safe_zero(1e3))/safe_zero(osmoles_out_s1);
P_in_pt_s2=Rx_pow(_as_dbleps((Rx_pow(_as_dbleps(P_in_pt_s3),(4*tubular_compliance+1))+B1*B2_pt_s2*B3_pt_s2*flow_integral_s2)),(1/safe_zero((4*tubular_compliance+1))));
P_in_pt_s2_mmHg=(P_in_pt_s2+P_interstitial)/safe_zero(mmHg_Nperm2_conv);
B2_pt_s1=(Rx_pow(_as_dbleps(Pc_pt_s1),(4*tubular_compliance)))/safe_zero((Rx_pow(_as_dbleps(Dc_pt),4)));
B3_pt_s1=(SNGFR_nL_min/safe_zero(1e12))/safe_zero((2*SN_filtered_Na_load+SN_filtered_glucose_load+SN_filtered_urea_load));
P_in_pt_s1=Rx_pow(_as_dbleps((Rx_pow(_as_dbleps(P_in_pt_s2),(4*tubular_compliance+1))+B1*B2_pt_s1*B3_pt_s1*flow_integral_s1)),(1/safe_zero((4*tubular_compliance+1))));
P_in_pt_s1_mmHg=(P_in_pt_s1+P_interstitial)/safe_zero(mmHg_Nperm2_conv);
AT1_aldo_int=1-AT1_aldo_slope*nominal_equilibrium_AT1_bound_AngII;
AngII_effect_on_aldo=AT1_aldo_int+AT1_aldo_slope*AT1_bound_AngII;
N_als=(K_Na_ratio_effect_on_aldo*AngII_effect_on_aldo);
rsna_renin_intercept=1-rsna_renin_slope;
rnsa_effect_on_renin_secretion=rsna_renin_slope*renal_sympathetic_nerve_activity+rsna_renin_intercept;
md_effect_on_renin_secretion=md_renin_A*exp(-md_renin_tau*(SN_macula_densa_Na_flow_delayed*baseline_nephrons-nom_LoH_Na_outflow));
AT1_bound_AngII_effect_on_PRA=(Rx_pow(_as_dbleps(10),(AT1_PRC_slope*log10(AT1_bound_AngII/safe_zero(nominal_equilibrium_AT1_bound_AngII))+AT1_PRC_yint)));
plasma_renin_activity=concentration_to_renin_activity_conversion_plasma*plasma_renin_concentration*DRI_effect_on_PRA;
renin_secretion_rate=(_safe_log(2)/safe_zero(renin_half_life))*nominal_equilibrium_PRC*AT1_bound_AngII_effect_on_PRA*md_effect_on_renin_secretion*rnsa_effect_on_renin_secretion*HCTZ_effect_on_renin_secretion*renin_hyperactivity;
renin_degradation_rate=_safe_log(2)/safe_zero(renin_half_life);
AngI_degradation_rate=_safe_log(2)/safe_zero(AngI_half_life);
AngII_degradation_rate=_safe_log(2)/safe_zero(AngII_half_life);
AT1_bound_AngII_degradation_rate=_safe_log(2)/safe_zero(AT1_bound_AngII_half_life);
AT2_bound_AngII_degradation_rate=_safe_log(2)/safe_zero(AT2_bound_AngII_half_life);
ACE_activity=nominal_ACE_activity*ACEI_effect_on_ACE_activity;
chymase_activity=nominal_chymase_activity;
AT1_receptor_binding_rate=nominal_AT1_receptor_binding_rate*ARB_effect_on_AT1_binding;
AT2_receptor_binding_rate=nominal_AT2_receptor_binding_rate;
__DDtStateVar_0__ = ((double)(_ON[0]))*(_IR[0] + plasma_renin_activity-(AngI)*(chymase_activity+ACE_activity)-(AngI)*AngI_degradation_rate);
__DDtStateVar_1__ = ((double)(_ON[1]))*(_IR[1] + AngI*(chymase_activity+ACE_activity)-AngII*AngII_degradation_rate-AngII*AT1_receptor_binding_rate-AngII*(AT2_receptor_binding_rate));
__DDtStateVar_2__ = ((double)(_ON[2]))*(_IR[2] + AngII*(AT1_receptor_binding_rate)-AT1_bound_AngII_degradation_rate*AT1_bound_AngII);
__DDtStateVar_3__ = ((double)(_ON[3]))*(_IR[3] + AngII*(AT2_receptor_binding_rate)-AT2_bound_AngII_degradation_rate*AT2_bound_AngII);
__DDtStateVar_4__ = ((double)(_ON[4]))*(_IR[4] + renin_secretion_rate-plasma_renin_concentration*renin_degradation_rate);
__DDtStateVar_5__ = ((double)(_ON[5]))*(_IR[5] + C_water_intake_ecf_volume*(water_intake)+C_urine_flow_ecf_volume*(urine_flow_rate)+Q_water*(Na_concentration-ECF_Na_concentration));
__DDtStateVar_6__ = ((double)(_ON[6]))*(_IR[6] + Q_water*(ECF_Na_concentration-Na_concentration));
__DDtStateVar_7__ = ((double)(_ON[7]))*(_IR[7] + C_na_excretion_na_amount*(Na_excretion_via_urine)+C_na_intake_na_amount*(Na_intake_rate)+Q_Na*(ECF_Na_concentration-Na_concentration));
__DDtStateVar_8__ = ((double)(_ON[8]))*(_IR[8] + Q_Na*(Na_concentration-ECF_Na_concentration)-sodium_storate_rate);
__DDtStateVar_9__ = ((double)(_ON[9]))*(_IR[9] + sodium_storate_rate);
__DDtStateVar_10__ = ((double)(_ON[10]))*(_IR[10] + C_tgf*(tubulo_glomerular_feedback_signal-tubulo_glomerular_feedback_effect));
__DDtStateVar_11__ = ((double)(_ON[11]))*(_IR[11] + C_aldo_secretion*(N_als-normalized_aldosterone_level));
__DDtStateVar_12__ = ((double)(_ON[12]))*(_IR[12] + 500*(preafferent_pressure_autoreg_function-preafferent_pressure_autoreg_signal));
__DDtStateVar_13__ = ((double)(_ON[13]))*(_IR[13] + 500*(glomerular_pressure_autoreg_function-glomerular_pressure_autoreg_signal));
__DDtStateVar_14__ = ((double)(_ON[14]))*(_IR[14] + 0);
__DDtStateVar_15__ = ((double)(_ON[15]))*(_IR[15] + C_cardiac_output_delayed*(cardiac_output-cardiac_output_delayed));
__DDtStateVar_16__ = ((double)(_ON[16]))*(_IR[16] + C_co_error*(cardiac_output-CO_nom));
__DDtStateVar_17__ = ((double)(_ON[17]))*(_IR[17] + C_Na_error*(Na_concentration-ref_Na_concentration));
__DDtStateVar_18__ = ((double)(_ON[18]))*(_IR[18] + C_vasopressin_delay*(normalized_vasopressin_concentration-normalized_vasopressin_concentration_delayed));
__DDtStateVar_19__ = ((double)(_ON[19]))*(_IR[19] + C_tgf_reset*(SN_macula_densa_Na_flow*baseline_nephrons-F0_TGF));
__DDtStateVar_20__ = ((double)(_ON[20]))*(_IR[20] + C_P_bowmans*(P_in_pt_s1_mmHg-P_bowmans));
__DDtStateVar_21__ = ((double)(_ON[21]))*(_IR[21] + C_P_oncotic*(oncotic_pressure_avg-oncotic_pressure_difference));
__DDtStateVar_22__ = ((double)(_ON[22]))*(_IR[22] + C_rbf*(renal_blood_flow_L_min-renal_blood_flow_L_min_delayed));
__DDtStateVar_23__ = ((double)(_ON[23]))*(_IR[23] + C_rihp*(RIHP-renal_interstitial_hydrostatic_pressure));
__DDtStateVar_24__ = ((double)(_ON[24]))*(_IR[24] + C_md_flow*(SN_macula_densa_Na_flow-SN_macula_densa_Na_flow_delayed));
__DDtStateVar_25__ = ((double)(_ON[25]))*(_IR[25] + C_rsna*(renal_sympathetic_nerve_activity-rsna_delayed));
__DDtStateVar_26__ = ((double)(_ON[26]))*(_IR[26] + C_rsna2*(renal_sympathetic_nerve_activity-rsna_delayed2));
__DDtStateVar_27__ = ((double)(_ON[27]))*(_IR[27] + GP_effect_increasing_Kf);
__DDtStateVar_28__ = ((double)(_ON[28]))*(_IR[28] + CD_PN_loss_rate);
__DDtStateVar_29__ = ((double)(_ON[29]))*(_IR[29] + PT_Na_reabs_effect_increasing_tubular_length);
__DDtStateVar_30__ = ((double)(_ON[30]))*(_IR[30] + PT_Na_reabs_effect_increasing_tubular_diameter);
__DDtStateVar_31__ = ((double)(_ON[31]))*(_IR[31] + C_pt_water*(water_out_s1-water_out_s1_delayed));
__DDtStateVar_32__ = ((double)(_ON[32]))*(_IR[32] + C_pt_water*(water_out_s2-water_out_s2_delayed));
__DDtStateVar_33__ = ((double)(_ON[33]))*(_IR[33] + C_pt_water*(water_out_s3-water_out_s3_delayed));
__DDtStateVar_34__ = ((double)(_ON[34]))*(_IR[34] + 0);
__DDtStateVar_35__ = ((double)(_ON[35]))*(_IR[35] + RUGE);
__DDtStateVar_36__ = ((double)(_ON[36]))*(_IR[36] + creatinine_synthesis_rate-creatinine_clearance_rate);
__DDtStateVar_37__ = ((double)(_ON[37]))*(_IR[37] + Na_excretion_via_urine);
__DDtStateVar_38__ = ((double)(_ON[38]))*(_IR[38] + urine_flow_rate);
__DDtStateVar_39__ = ((double)(_ON[39]))*(_IR[39] + creatinine_clearance_rate);
__DDtStateVar_40__ = ((double)(_ON[40]))*(_IR[40] + excess_glucose_increasing_RTg);
__DDtStateVar_41__ = ((double)(_ON[41]))*(_IR[41] + C_sglt2_delay*(SGLT2_inhibition-SGLT2_inhibition_delayed));
__DDtStateVar_42__ = ((double)(_ON[42]))*(_IR[42] + C_ruge*(RUGE-RUGE_delayed));

_lhs[0]=number_of_functional_glomeruli;
_lhs[1]=number_of_functional_tubules;
_lhs[2]=tissue_autoregulation_signal;
_lhs[3]=AT1_svr_int;
_lhs[4]=AT1_bound_AngII_effect_on_SVR;
_lhs[5]=rsna_svr_int;
_lhs[6]=rsna_effect_on_svr;
_lhs[7]=systemic_arterial_resistance;
_lhs[8]=resistance_to_venous_return;
_lhs[9]=mean_filling_pressure;
_lhs[10]=venous_return;
_lhs[11]=cardiac_output;
_lhs[12]=total_peripheral_resistance;
_lhs[13]=mean_arterial_pressure_MAP;
_lhs[14]=right_atrial_pressure;
_lhs[15]=MAP_effect_on_rsna;
_lhs[16]=R_atrial_pressure_effect_on_rsna_int;
_lhs[17]=R_atrial_pressure_effect_on_rsna;
_lhs[18]=renal_sympathetic_nerve_activity;
_lhs[19]=rap_anp_intercept;
_lhs[20]=normalized_atrial_NP_concentration;
_lhs[21]=aldosterone_concentration;
_lhs[22]=Aldo_MR_normalised_effect;
_lhs[23]=AT1_preaff_int;
_lhs[24]=AT1_effect_on_preaff;
_lhs[25]=AT1_aff_int;
_lhs[26]=AT1_effect_on_aff;
_lhs[27]=AT1_eff_int;
_lhs[28]=AT1_effect_on_eff;
_lhs[29]=rsna_preaff_int;
_lhs[30]=rsna_effect_on_preaff;
_lhs[31]=ANP_preaff_int;
_lhs[32]=ANP_effect_on_preaff;
_lhs[33]=ANP_aff_int;
_lhs[34]=ANP_effect_on_aff;
_lhs[35]=ANP_eff_int;
_lhs[36]=ANP_effect_on_eff;
_lhs[37]=preaff_arteriole_signal_multiplier;
_lhs[38]=preaff_arteriole_adjusted_signal_multiplier;
_lhs[39]=preafferent_arteriole_resistance;
_lhs[40]=nom_afferent_arteriole_resistance;
_lhs[41]=afferent_arteriole_signal_multiplier;
_lhs[42]=afferent_arteriole_adjusted_signal_multiplier;
_lhs[43]=afferent_arteriole_resistance;
_lhs[44]=nom_efferent_arteriole_resistance;
_lhs[45]=efferent_arteriole_signal_multiplier;
_lhs[46]=efferent_arteriole_adjusted_signal_multiplier;
_lhs[47]=efferent_arteriole_resistance;
_lhs[48]=RBF_autoreg_int;
_lhs[49]=peritubular_autoreg_signal;
_lhs[50]=autoregulated_peritubular_resistance;
_lhs[51]=renal_vascular_resistance;
_lhs[52]=renal_blood_flow_L_min;
_lhs[53]=renal_blood_flow_ml_hr;
_lhs[54]=preafferent_pressure;
_lhs[55]=glomerular_pressure;
_lhs[56]=postglomerular_pressure;
_lhs[57]=preaff_autoreg_int;
_lhs[58]=preafferent_pressure_autoreg_function;
_lhs[59]=gp_autoreg_int;
_lhs[60]=glomerular_pressure_autoreg_function;
_lhs[61]=GP_effect_increasing_Kf;
_lhs[62]=temp;
_lhs[63]=glomerular_hydrostatic_conductance_Kf;
_lhs[64]=net_filtration_pressure;
_lhs[65]=SNGFR_nL_min;
_lhs[66]=GFR;
_lhs[67]=GFR_ml_min;
_lhs[68]=serum_creatinine_concentration;
_lhs[69]=creatinine_clearance_rate;
_lhs[70]=GPdiff;
_lhs[71]=GP_effect_on_Seiving;
_lhs[72]=nom_glomerular_albumin_sieving_coefficient;
_lhs[73]=glomerular_albumin_sieving_coefficient;
_lhs[74]=SN_albumin_filtration_rate;
_lhs[75]=SN_albumin_excretion_rate;
_lhs[76]=albumin_excretion_rate;
_lhs[77]=Oncotic_pressure_in;
_lhs[78]=SNRBF_nl_min;
_lhs[79]=plasma_protein_concentration_out;
_lhs[80]=Oncotic_pressure_out;
_lhs[81]=oncotic_pressure_avg;
_lhs[82]=Na_concentration;
_lhs[83]=ECF_Na_concentration;
_lhs[84]=sodium_storate_rate;
_lhs[85]=Na_water_controller;
_lhs[86]=normalized_vasopressin_concentration;
_lhs[87]=vasopressin_concentration;
_lhs[88]=water_intake_vasopressin_int;
_lhs[89]=water_intake;
_lhs[90]=daily_water_intake;
_lhs[91]=L_pt_s1;
_lhs[92]=L_pt_s2;
_lhs[93]=L_pt_s3;
_lhs[94]=Dc_pt;
_lhs[95]=L_pt;
_lhs[96]=SN_filtered_Na_load;
_lhs[97]=filtered_Na_load;
_lhs[98]=pressure_natriuresis_PT_int;
_lhs[99]=pressure_natriuresis_PT_effect;
_lhs[100]=pressure_natriuresis_LoH_int;
_lhs[101]=pressure_natriuresis_LoH_effect;
_lhs[102]=pressure_natriuresis_DCT_magnitude;
_lhs[103]=pressure_natriuresis_DCT_int;
_lhs[104]=pressure_natriuresis_DCT_effect;
_lhs[105]=pressure_natriuresis_CD_magnitude;
_lhs[106]=pressure_natriuresis_CD_int;
_lhs[107]=pressure_natriuresis_CD_effect;
_lhs[108]=AT1_PT_int;
_lhs[109]=AT1_effect_on_PT;
_lhs[110]=rsna_PT_int;
_lhs[111]=rsna_effect_on_PT;
_lhs[112]=rsna_CD_int;
_lhs[113]=rsna_effect_on_CD;
_lhs[114]=aldo_DCT_int;
_lhs[115]=aldo_effect_on_DCT;
_lhs[116]=aldo_CD_int;
_lhs[117]=aldo_effect_on_CD;
_lhs[118]=anp_CD_int;
_lhs[119]=anp_effect_on_CD;
_lhs[120]=NHE3inhib;
_lhs[121]=pt_multiplier;
_lhs[122]=e_pt_sodreab;
_lhs[123]=e_dct_sodreab;
_lhs[124]=cd_multiplier;
_lhs[125]=cd_scale;
_lhs[126]=e_cd_sodreab;
_lhs[127]=glucose_reabs_per_unit_length_s1;
_lhs[128]=glucose_reabs_per_unit_length_s2;
_lhs[129]=glucose_reabs_per_unit_length_s3;
_lhs[130]=SN_filtered_glucose_load;
_lhs[131]=glucose_pt_out_s1;
_lhs[132]=glucose_pt_out_s2;
_lhs[133]=glucose_pt_out_s3;
_lhs[134]=RUGE;
_lhs[135]=excess_glucose_increasing_RTg;
_lhs[136]=osmotic_natriuresis_effect_pt;
_lhs[137]=osmotic_natriuresis_effect_cd;
_lhs[138]=osmotic_diuresis_effect_pt;
_lhs[139]=osmotic_diuresis_effect_cd;
_lhs[140]=SGTL2_Na_reabs_mmol_s1;
_lhs[141]=SGTL2_Na_reabs_mmol_s2;
_lhs[142]=SGTL1_Na_reabs_mmol;
_lhs[143]=total_SGLT2_Na_reabs;
_lhs[144]=e_pt_sodreab_adj;
_lhs[145]=Na_reabs_per_unit_length;
_lhs[146]=Na_pt_s1_reabs;
_lhs[147]=Na_pt_out_s1;
_lhs[148]=Na_pt_s2_reabs;
_lhs[149]=Na_pt_out_s2;
_lhs[150]=Na_pt_s3_reabs;
_lhs[151]=Na_pt_out_s3;
_lhs[152]=PT_Na_reabs_fraction;
_lhs[153]=SN_filtered_urea_load;
_lhs[154]=urea_out_s1;
_lhs[155]=urea_out_s2;
_lhs[156]=urea_out_s3;
_lhs[157]=urea_reabsorption_fraction;
_lhs[158]=osmoles_out_s1;
_lhs[159]=water_out_s1;
_lhs[160]=osmoles_out_s2;
_lhs[161]=water_out_s2;
_lhs[162]=osmoles_out_s3;
_lhs[163]=water_out_s3;
_lhs[164]=PT_water_reabs_fraction;
_lhs[165]=Na_concentration_out_s1;
_lhs[166]=Na_concentration_out_s2;
_lhs[167]=Na_concentration_out_s3;
_lhs[168]=glucose_concentration_out_s1;
_lhs[169]=glucose_concentration_out_s2;
_lhs[170]=glucose_concentration_out_s3;
_lhs[171]=urea_concentration_out_s1;
_lhs[172]=urea_concentration_out_s2;
_lhs[173]=urea_concentration_out_s3;
_lhs[174]=osmolality_out_s1;
_lhs[175]=osmolality_out_s2;
_lhs[176]=osmolality_out_s3;
_lhs[177]=PT_Na_outflow;
_lhs[178]=PT_Na_reab_perUnitSA;
_lhs[179]=normalized_PT_reabsorption_density;
_lhs[180]=water_in_DescLoH;
_lhs[181]=Na_in_DescLoH;
_lhs[182]=urea_in_DescLoH;
_lhs[183]=glucose_in_DescLoH;
_lhs[184]=osmoles_in_DescLoH;
_lhs[185]=Na_concentration_in_DescLoH;
_lhs[186]=Urea_concentration_in_DescLoH;
_lhs[187]=glucose_concentration_in_DescLoH;
_lhs[188]=osmolality_in_DescLoH;
_lhs[189]=Na_out_DescLoH;
_lhs[190]=urea_out_DescLoH;
_lhs[191]=glucose_out_DescLoH;
_lhs[192]=osmoles_out_DescLoH;
_lhs[193]=deltaLoH_NaFlow;
_lhs[194]=AscLoH_Reab_Rate;
_lhs[195]=effective_AscLoH_Reab_Rate;
_lhs[196]=osmolality_out_DescLoH;
_lhs[197]=water_out_DescLoH;
_lhs[198]=Na_concentration_out_DescLoH;
_lhs[199]=glucose_concentration_out_DescLoH;
_lhs[200]=urea_concentration_out_DescLoH;
_lhs[201]=Na_in_AscLoH;
_lhs[202]=urea_in_AscLoH_before_secretion;
_lhs[203]=glucose_in_AscLoH;
_lhs[204]=osmoles_in_AscLoH_before_secretion;
_lhs[205]=water_in_AscLoH;
_lhs[206]=urea_in_AscLoH;
_lhs[207]=urea_concentration_in_AscLoH;
_lhs[208]=osmoles_in_AscLoH;
_lhs[209]=osmolality_in_AscLoH;
_lhs[210]=osmolality_out_AscLoH;
_lhs[211]=osmoles_reabsorbed_AscLoH;
_lhs[212]=Na_reabsorbed_AscLoH;
_lhs[213]=Na_out_AscLoH;
_lhs[214]=urea_out_AscLoH;
_lhs[215]=glucose_out_AscLoH;
_lhs[216]=water_out_AscLoH;
_lhs[217]=osmoles_out_AscLoH;
_lhs[218]=Na_concentration_out_AscLoH;
_lhs[219]=glucose_concentration_out_AscLoH;
_lhs[220]=urea_concentration_out_AscLoH;
_lhs[221]=LoH_reabs_fraction;
_lhs[222]=SN_macula_densa_Na_flow;
_lhs[223]=MD_Na_concentration;
_lhs[224]=TGF0_tubulo_glomerular_feedback;
_lhs[225]=tubulo_glomerular_feedback_signal;
_lhs[226]=water_in_DCT;
_lhs[227]=Na_in_DCT;
_lhs[228]=urea_in_DCT;
_lhs[229]=glucose_in_DCT;
_lhs[230]=osmoles_in_DCT;
_lhs[231]=Na_concentration_in_DCT;
_lhs[232]=urea_concentration_in_DCT;
_lhs[233]=glucose_concentration_in_DCT;
_lhs[234]=osmolality_in_DCT;
_lhs[235]=urea_out_DCT;
_lhs[236]=glucose_out_DCT;
_lhs[237]=water_out_DCT;
_lhs[238]=urea_concentration_out_DCT;
_lhs[239]=glucose_concentration_out_DCT;
_lhs[240]=R_dct;
_lhs[241]=Na_out_DCT;
_lhs[242]=Na_concentration_out_DCT;
_lhs[243]=osmolality_out_DCT;
_lhs[244]=osmoles_out_DCT;
_lhs[245]=DCT_Na_reabs_fraction;
_lhs[246]=water_in_CD;
_lhs[247]=Na_in_CD;
_lhs[248]=urea_in_CD;
_lhs[249]=glucose_in_CD;
_lhs[250]=osmoles_in_CD;
_lhs[251]=osmolality_in_CD;
_lhs[252]=Na_concentration_in_CD;
_lhs[253]=urea_concentration_in_CD;
_lhs[254]=glucose_concentration_in_CD;
_lhs[255]=e_cd_sodreab_adj;
_lhs[256]=R_cd;
_lhs[257]=Na_reabsorbed_CD;
_lhs[258]=Na_out_CD;
_lhs[259]=CD_Na_reabs_fraction;
_lhs[260]=ADH_water_permeability_old;
_lhs[261]=ADH_water_permeability;
_lhs[262]=osmoles_out_CD;
_lhs[263]=osmolality_out_CD_before_osmotic_reabsorption;
_lhs[264]=water_reabsorbed_CD;
_lhs[265]=water_out_CD;
_lhs[266]=osmolality_out_CD_after_osmotic_reabsorption;
_lhs[267]=glucose_concentration_after_urea_reabsorption;
_lhs[268]=urine_flow_rate;
_lhs[269]=daily_urine_flow;
_lhs[270]=Na_excretion_via_urine;
_lhs[271]=Na_balance;
_lhs[272]=water_balance;
_lhs[273]=FENA;
_lhs[274]=PT_fractional_glucose_reabs;
_lhs[275]=PT_fractional_Na_reabs;
_lhs[276]=PT_fractional_urea_reabs;
_lhs[277]=PT_fractional_water_reabs;
_lhs[278]=LoH_fractional_Na_reabs;
_lhs[279]=LoH_fractional_urea_reabs;
_lhs[280]=LoH_fractional_water_reabs;
_lhs[281]=DCT_fractional_Na_reabs;
_lhs[282]=CD_fractional_Na_reabs;
_lhs[283]=CD_OM_fractional_water_reabs;
_lhs[284]=Oncotic_pressure_peritubular_in;
_lhs[285]=plasma_protein_concentration_peritubular_out;
_lhs[286]=Oncotic_pressure_peritubular_out;
_lhs[287]=oncotic_pressure_peritubular_avg;
_lhs[288]=tubular_reabsorption;
_lhs[289]=RIHP;
_lhs[290]=Pc_pt_s1;
_lhs[291]=Pc_pt_s2;
_lhs[292]=Pc_pt_s3;
_lhs[293]=Pc_lh_des;
_lhs[294]=Pc_lh_asc;
_lhs[295]=Pc_dt;
_lhs[296]=Pc_cd;
_lhs[297]=P_interstitial;
_lhs[298]=B1;
_lhs[299]=mean_cd_water_flow;
_lhs[300]=B2_cd;
_lhs[301]=P_in_cd;
_lhs[302]=P_in_cd_mmHg;
_lhs[303]=B2_dt;
_lhs[304]=P_in_dt;
_lhs[305]=P_in_dt_mmHg;
_lhs[306]=B2_lh_asc;
_lhs[307]=P_in_lh_asc;
_lhs[308]=P_in_lh_asc_mmHg;
_lhs[309]=A_lh_des;
_lhs[310]=B2_lh_des;
_lhs[311]=P_in_lh_des;
_lhs[312]=P_in_lh_des_mmHg;
_lhs[313]=Rurea;
_lhs[314]=urea_in_s2;
_lhs[315]=urea_in_s3;
_lhs[316]=A_na;
_lhs[317]=flow_integral_s3;
_lhs[318]=flow_integral_s2;
_lhs[319]=flow_integral_s1;
_lhs[320]=B2_pt_s3;
_lhs[321]=B3_pt_s3;
_lhs[322]=P_in_pt_s3;
_lhs[323]=P_in_pt_s3_mmHg;
_lhs[324]=B2_pt_s2;
_lhs[325]=B3_pt_s2;
_lhs[326]=P_in_pt_s2;
_lhs[327]=P_in_pt_s2_mmHg;
_lhs[328]=B2_pt_s1;
_lhs[329]=B3_pt_s1;
_lhs[330]=P_in_pt_s1;
_lhs[331]=P_in_pt_s1_mmHg;
_lhs[332]=AT1_aldo_int;
_lhs[333]=AngII_effect_on_aldo;
_lhs[334]=N_als;
_lhs[335]=rsna_renin_intercept;
_lhs[336]=rnsa_effect_on_renin_secretion;
_lhs[337]=md_effect_on_renin_secretion;
_lhs[338]=AT1_bound_AngII_effect_on_PRA;
_lhs[339]=plasma_renin_activity;
_lhs[340]=renin_secretion_rate;
_lhs[341]=renin_degradation_rate;
_lhs[342]=AngI_degradation_rate;
_lhs[343]=AngII_degradation_rate;
_lhs[344]=AT1_bound_AngII_degradation_rate;
_lhs[345]=AT2_bound_AngII_degradation_rate;
_lhs[346]=ACE_activity;
_lhs[347]=chymase_activity;
_lhs[348]=AT1_receptor_binding_rate;
_lhs[349]=AT2_receptor_binding_rate;
}
// Functional based bioavailability
double model1__F(int _cSub,  int _cmt, double _amt, double __t, double *__zzStateVar__){
return _amt;
}
// Functional based absorption lag
double model1__Lag(int _cSub,  int _cmt, double __t, double *__zzStateVar__){
return __t;
}
// Modeled zero-order rate
double model1__Rate(int _cSub,  int _cmt, double _amt, double __t, double *__zzStateVar__){
return 0.0;
}
// Modeled zero-order duration
double model1__Dur(int _cSub,  int _cmt, double _amt, double __t){
return 0.0;
}
// Model Times
void model1__mtime(int _cSub, double *_mtime){
}
// Matrix Exponential (0)
void model1__ME(int _cSub, double _t, double __t, double *_mat, const double *__zzStateVar__){
int _itwhile = 0;
(void)_itwhile;
double t = __t + _solveData->subjects[_cSub].curShift;
(void)t;
}
// Inductive linearization Matf
void model1__IndF(int _cSub, double _t, double __t, double *_matf){
int _itwhile = 0;
(void)_itwhile;
double t = __t + _solveData->subjects[_cSub].curShift;
(void)t;
}
extern SEXP model1__model_vars(){
int pro=0;
SEXP _mv = PROTECT(_rxGetModelLib("model1__model_vars"));pro++;
if (!_rxIsCurrentC(_mv)){
  SEXP hash    = PROTECT(allocVector(STRSXP, 1));pro++;
#define __doBuf__  sprintf(buf, "un]\"BAAA@QRtHACAAAAAAAC\"!DAAv7#aT)4Ip2<BmmH.CX*,a$NASc3\"Vl7RAG_TDn_JiplxEI\"*i(gf$69J:fgdw./z{Y|mfdw~t]At<RD8P|:~ASv+VbXPv/F2Xp3Fxho_i}{[~;XAABJ2mr{+p`g(x!0RzrMP3EN!57C&{Q~h+Ij^bkUIcNWZn%%gb%%*umXRkx$XL6p:rMOXa%%ujY$U,|njiV1jx_~h_V]~&zO8nto>#.y{^^|&P$RA&v+;0uT&+rQ&MwgFibCai*!!.eUX\?!`iZB>I@E&*D.gv0}rs1E[Qu;]d9T]<w~SEbqt>\"1%%8nfnzBb%%P#R$R)agAfLE@7wsN3o!a@ZjE4Y~X^ZKe@ZK_OUmOT#r,.NTG).7us=T}lz_f9w~4`h9%%CNq(LF43P9]NdSK^I)q|@P4jYfClk=1MMd!&PVygP{|xP<<Kupn~[0ou\?)pg[oQaaE~y[tTwci/P\"]|9^iWjBj/FoNOQ]Xbr_*}4^>S3&C7Gpa,j/=^9TH}38&VscS|B3c+u95v<XP@~iKKzp~UkWo9yrdp7EDM\?(kV\?*\"tSnzqf\?fE[\?N:7xS&%%)^y=(rQz/K\?<TGjj}ibh#(e\?0W:IY7xx>!BiSO(9%%=&&Il;V@/S6mgB92dZx&>lGbo}k)b%%F7OjF63j:;6lzq`|u3b[|S/6k(8r_%%A%%n4u,~%%\?hFBYd)loZ95w~,J+.=rt~ng@%%y|K(s`tK::\"pBG~8/\"TnX&\?shPj%%@6of#W(/+m]+e2\?RWv~URH0Jd(U[ULJ/%%Q0Jvtb_w=*oixGjl2Jq$>rkIfZL\?k57`xm,mSH\?FB/,RyF,t>!=*{JK0eX+OLB/u$}n#U\"U1$r#Yy8=`SW79(CaLEwrXy16hkJKOnr|0U{^.@Vl~J3}!9Ahfqp:xK3*1Th_q\?v$$K),GVkS8)QV%%2<X@3LQ`=U#0^CK\"&PRl>eUzWZ%%W.<p%%_S#oxuC}p!XD94hE!P\?0TO.!hE!;ndpSlF5fip~75p{}FV;zqc~W\?9$;1*^!rKjWF7.0~V:>Rp8z!8>w;G|lLc24lP9gr_.+C.>7F.2L;]Xq`Cbo0&o._2<fki3*q@M!K9i4}nW0[!RWg/Id6vL&*/N.a~=vz>Z&qHfuho0zUnrbL|4tD7rz)pn&&nf]!17\?jqIqg2<X,woWxiSlFC_6Sgz.bF%%Cen+gfa(c7]!3jV1wZ1wS7\?0;jKhc>naU69]SY2/0HYzDjS59]R^9%%Tp<gAp4cw!;ZYfuG44Pz5.2dW&2lLX07t0r^$;n!/RAXzS6Fu9Z:!gR*!Mqi(qW[guZU/:4[PR:Ssl0j%%A;wtz[;e*!`hkef:N:891jlTa0/Nk9#DdA9CdTagfvrYaP6]GoF;BY,O6w~)]b$@x(RAohYG$Lq$9(qJ=ajgAGzuUh_mT1clMt/}h:f^pA,.N7QFXVq/w&PbKTIy[\"z\?08.4::_fpF8pfq4+X=2lu|gt[DIbm[|mY@\?t^7l>Sj7RKZaW\?#<u.^z~&ut87E%%2)yY3:ZK4$JL79)A4;\"i<&TUZh371B|3On@Ut6x!1&5M[Jh&2zG=,2pZ.){<FI<6NQJ=GU2+*B%%,5YgS*1`luwZJSf@IX_m`1W$W2moW_a;IDwMM~}x3TYP64[L=C)Eo|Qyf/\"#\?X_)f)l^I>xL|WRlx^WU]&x4~tX8NfzX:mc#|zr>0(]G/Z6^V%%69l&,kvBRWm]+^F*lYg#.nAY^:6MX.1/{^KeZbLUYc<\"!z:ZbzJZPTl@$%%ES|\?w{kF_`|\"g`wgKLppbqn0sOQ}Dt)Lg{i_4rTa(4#Hgp=ZLTR/`!LC}Rs=9UDv[(_0}=i}|t^F#(&Tb3HV%%BC6tA&ta;1.=WNm[Z=4[#=e9\"[taC8R<HqL{L+\"8)8$t]XRRv3li(;.u;Ow[\"fKY#|_4]E/iDxsCnXk/\?SlEC(LR5%%.~2S,=gr7^aLPHjw5br}H7agp*6Ny;IS1IO]F|z>|{IV0|0}%%G~2psF~7l7X_s`,0+~U]INT8gKLi0HdAO]Pzu;FQa8/xD0T1Yg7;dq5F#p;*fxOX6BpMaMU,2w@0}=l`HVakX%%Y}ZMbNa>NY3#p[j_IYxk:=7^daO@i!dY;*fD]X3+R@pj!Hd&I]\?H3p5T14,,[email protected]~($.Z3K53/\?t!8<j>tk:Fj8z%%{<Sdm12/M(.Scoum/sR=c[z5wy@~!|OxlWP$#w~=7n71ifS]YsLg0NGpXzc~a&c9I0zkmC{hT{F*4RxU_%%<\":9l9s.go>9{MFTL1v@G9dKh{6T{YI07kcQOHG`qwjj`k720w@1d0Y].|Dq5I0\"b}&fe.2^LJ(G5fR]Y2Ni7&@/2M{QU2+5d;&1ZMa(QY:*xRb&:Vd>cHG5fNU>NBlfmX,3%%@cb7=k949VDauzo#C:xb\?k@#t;`f(<1J{tnq+2gm\"uic*Z/F}&b|>8J3C6x[N:\"uxzs;`f@tAd,xlfOOr>s=,z6d4b}7$IP6R0l^KOB64TO5Oaick<}wZ[TKdm(D%%fIT5j_d>Gzr&ckDxbuz!dp.pD6wmqOTtHT]`x<k_dR$2vK3}7F/HQZKWGk5(FAaZ`Z)N_Ha]z4Dq[L&[Yt4Ry~(ZJ10Ea}&=%%czBAC)\"Xk!#GDNwXdON`H>*BpZ=5>u6I2Bj^w\?k3{p}Mai0WEHP$U+L&pvaN2+pJk!u/!vb\?f{T~`++4CL@ExI(3w,0~)Ae~d%%]^n;>9=^{$V[#9An^xBso=zaQXPRWCjR1IR{hW^Nb_L0p)\?:8o1e>J@)HH$8)LV1`9ruSh5lBv8c.gJBNcgYY3%%HtNk\"W:k09Uwh=BzP]isL7Rf%%JRZRnuv8LEMO%%W6Fy%%!f~ug0]L{1Nb3)M(\?oETv7ySPuCG/AE)e2.YIo{B]\?G4=w=INT+P5VjkkH=+so1bMa;6^fc\?Gd{CFVVF^[ffE_;Srz$E2__kcG4F\"0ozAVuMHw=2/E6GEhEZt;2y(=!`OT(Gg95M9+hotV#oPmlbfGJyXsk#2K5x6}n=po}>)0N9^@=Pa=s;R#LE.4vVU#=fDS^1Zvwj;&Jd6*Ai:Gr4mkbLB1<,R^tfT6bV;+2On6V2;*ptO5a6Dd)ADCK\?)vgLS9.I}p|r$r(jb$Q*e._,2tr)UJ<>TkUnrG=2fygzd~<K+2_QTnLGmCR\?()0MFiZxOGhtlBKONB}F{BqA=iU`1DQ3WI>B]>p.kc\?h\"+d0SJ.B4,L7ZvF)~(^1Lv02tBMI{TeuN]=]tg>^y!Qlu:Qy8\?^Cj(N2|d$oWLDD\?u\?Zd0GuQtTH+O=B{h%%2kEZ\?SQa\"Ctmu%%F}LFtH\"gAP\"yC\?FIt{X3(5F%%(xWVt%%Fu+&C.&_,YN2ACXB5#R&Y`C*4P&SCJ7Z0ag\"DMlBd=,f6Rx:W./!Y)l8LI,[DqhpxHWrc7l\?P5BEN|D)LH6co<&8Eicb4cIQ\?I/bo)w;*~dW6TT#*;TWfamlh40ycL4~P@q6Sdm_2cj{Czk^dQm\"O)S}\?h{Qmtl2.{ZB],3]zDdMa.N[8n!HdM/[<j]po\"cMa.N\"5TnAajF\?y`7tGYe=TA(s0`@NeJr9[9o:2^3iZz}nW0[oVDam;.h.3Yh\"2vLob7:b.e>>C_L~!|Oi.F}@c4.,Te*93W*X75jDdsTbEoHwx2~*lWP6x&c$fw7n:=7(ZZ`MFwk_d|4x,,QdK%%edetld#9p,x,ZEllM3aX#S^QPUa~,}jtl@2U)7,(*o!i;#]TNl)7|%%@5PnDMale:<s0!db2@+/VgIENwxgH{(G5o3cMC{|[30lqi7{8\"0t3{i7jDd%%6`fvOo3~#HduU)lH6\?#HduUOb50p;`fF]{6Y0:Y]CdY5T5<#O*Y(l)l1xwW$#Egt0)dCYAGvW5Fv(4MC\"YLmjX%%jXz!l^GHXL2ZXQDjsyNm[12\"5t/ZpLK,mRVjAS~LJAuWA$~C3@[email protected]#^0khFV^b/;(C%%\"IjNX4nIw7{l,/14\"A@3A\"rEV8,9/fn(F<vegu}FBDYOqD9[.gcoPmXc0bDtDh.rN,UW}tRK:9bn*c!\"vy>i6/[mk5zUXiiD)S5eW{iwMeEshLB)#sa9%%7#CbMYlskoG"); \
sprintf(buf+4046, ")M<^|D3/OSg_w85d$@[II{|B`o,+=K7N]m)={@59BF/#YXPICk_4E~kTxK0c9ETyC[Ka[<LNQ7tq3J0#L;_#ZPLU,LdOKv.29`1@A`k/KU<c4Y]wHmBc|]IY1z}>ZE.RJYHfWx2I\"~_M4r\"A2LEw!iEz}^94voi;SfHt}Rf6%%ndVg13pP:QC:<+hcRFn#!JPbNOH>A_,w\"d[<,(c8Wam5@@IJ_\?+.\?P\?BU8OlF3{%%b&8k/goJ.L@]zj4{Wn$WNt,=$,GWy]uV#\"b+x\?zl0c\?y0IZfHPel`1tfT)NGl[wcHt\?E3\?[+pAFt,oKP)UKvVz:RB02SupES/HEEI25_WGrgbl#(($6(idKs%%Es%%~gVz(*c>m<iY[Bdw3n~8n}0y>mw[h{L[^7:{JM$+j[.^;ZEX@6bdn4$P*>Fu5uaq>_rCHS^>[9Zv;C_NeNLj:q$FOuc`:|GyfurM2HRA0n|)U@L8jfNp6{*M#{\?y~dH4\?y{b!w6kEtrdFE\?AQ;OAz2SDEE/[D*uj,1!O1`=yuO`i{qrjCn2cf~2A~q%%(P\?|P7GVg\?_1.F^Ta[hfnc`Oj]c1qt_/b*,_/Qa_W}`Fe1vf8Xf=(E^$q*Rw/D>yp+k^67H+xlt7VEja*wNBgq]g\":%%cpDu=q7J`J(0&dt;Cv{+<[[[y9B)<g#;6;eIEy#aYj%%f%%BJCKRQx.BMQpE+LIg[A$bB\"#PmKJ,zt]=k5GT0Xbpv%%fh1Z\"x<6u+nsGv>#P,6LuvDDTdELa}(0gy{cZ&f!pML0o\"<t72)Haani0eJQ3@Bm3:*`\?.~S!pc($[]Y9P91GZUme|_GY$YGI5@}x;43xhJ..xiAyP7m^c&t}c!Nrh98;\"bGj6uDr`&k[s1%%)nr_eL,W2@7{T=[):EFiz=zXqyqne)6}2ZL*4l*k(UjBL1Y0*/NbS#}$yO*py|%%Oev;`S=[V)T`uXDaE%%p5C\?Nf_`A/na>ZV/@qMMXL,YZk42j*!<Es<%%&XE1t\"L=@,QnIxDu2jx$^OU8N9Cc}ubfwt#[Q/i6iH@F~6a6c]),Co`aXu]EFE6*PB[$P&v|Ph{vD4}CCn*u;dT=p;{=(\?BjE:KL`zz5x7_.@c*HU;uT(EIG]sm}y59eth(<`_>})3:jn@@YM+V,y]fzn<[4%%6g9o%%$1Hd(&\"9XaUvilv4FDlf6OZ^E0Y=HC_9oRojugC5ENvn]E~b1/;sVva5J0Kl9JUb9WcDOT5U4,0S#T_P[(U3B%%P9Jc8UtmPVYNIhOlURfB.fezGHT/_VI@f$\"%%O@Yu!7S7RmNbzboFFPTMb]_(PLO$t`nzE4.scPS{b1:N@,W8YKP7)$%%KLDZznck+${(DeS]%%U|AJ]m},25^Rt,q}(4Wc6MD#r)YisEtkqd]Bg7gCN):^yX;[jN04{tEm~*s]f9>=K/b=^vs77Vy|B~3jW,_uMpiH\?#uepLtV7o4SD@OMcyvP;1=sjMhvlYY{q5,fZhPjO6NzM`+w^A&8pn$kOhsn62.N1R{<JzPv\"7!E]qQ)PKj(YZTsA=*nHQcZ_&WzAZgz9zrb0Nu(&i\?XGC\"!fGN\"+A8IuT1P@i+S:BN|<7TD$@q+DWX0Uxnt,RcgqqlYWcZew&sgYk8_^~3psyJ5F&G,TA6K713b})dD1y|mk5(`fcnb9Uj<[w\";`LA=e7mij(QdAjiB,TE@/&0o05`@!ztDF9+:{kP@=q/A)oh2pM:,H;X@@eeyR@oL#s+r;iL*F@R$ji}*RI}h7xK5y0S[qE=w,L#\?/o&EB7%%WZvt<!1m7*iW6rikFVp~^yHp::/UNFzryE3j=FeoH&OPMGb[}a+{Wd(87rXH=)$vkKBtDgm4Zh4~4}bU7hL\"JP[<Rld\?H]:Ba\"y&tmQ<1wF:7/HPiTm53zEnC$1a:8*c9~i]3u1qm6$s&x_q0PFl)d)S7!)za9;GPcg9_@a1xZ$AVu$L8><FGC$h6MBD>D_^(|;)$cOWU2_4[N]8<X=>sNs[4PyrTjb=3[u:yxeg3XL*]GX{uhbyo@oyXtSXKyTTM0lp;mQU36rIBj@R0>9t.\?:]VhM#<%%^|iF;Z58\?37C=VjL`c8kkPOInYwD91qJwz$ma+h1/b!]s6Kw)x<%%zF}iega,H%%N@,zG>oI+`BHJ^@9C=n_:`78[>l_V>c@:E[y>j+Ln^:e5IbwR$]tYX0>(Fs4<C44!1)7_hmJv8qGAGEO#wJqz@XsCMRe8Epj9jWS/+u(<3}StPs5yB=o^SWqqcW[M@lzMTR|keNXM*Di3;K#s9i/D\"(7m+7aEL5,iVPRxv$cEmU>ER>>FDManK,BabYcqJQCvKM|{5&*QZ4cG!wNr\?m=!)TT|w)e#j;{jlwb6O^6>|j/4!)j[i(o,y9gv>Nm_K#[<8!Mz!]kyYb]^r6QgkGF9ApJT=/sw!/\?VA\?Pcwov5sO9ZsSO}v*=13IML6VC9LAh@4iaTTm6b:vQs=o79Cc.;=u{U)Q}9FHfR8=N&rfZ,@xvNZW]$j_|K<4p=6xx,9}MNo,8dYR*#TsDIq2]GDJ]V^fqr0=M[72_J`!=zf6Yo]^g,!JI/qm0]0losMy3>4E9ZZnC{Mi@KMm$CbS|v/Lmi\?l_C[[g|LbE;XR^e,kO%%ko,3p0/v$s=Qf5eZovi;4a++;ynjNz3.bOiG0giV^DM|x4U3LO0LUt5#mTPovGI$,,8{r&,>R1+JTNVjRlbPEngl]*%%u}=m<i!Brs#c<P(=zjgS/#{P\?0/v#|d}b9LXB%%jA0TZcD3xL_BJckV]X5vtFib4ih~>wXejc&f!4^{#m|hw:H+/ER\?j!s~f.8RdT%%@MC^d!KP0$WM``aYlV/x/i,><RNXG1LO7J!3fQV]_u1w)U<1;zCPJ@u0S^n)0NU`L_q[GVXSwvKl\"Kyn`MZCbDKtYkj{(.,jQp*sCWCN\?Q*QWe@8O6(o/dZ=9:/d7:{rV\?~O{(93T,E8OjM/w9l(P7><M&IuR/N!0:id7ot&>K3)IzQY8Y*,x5V\"@qH#if3+:8!n~[,WZGO[]NZkzR!f*A{c~vp:;nfVMcA53S,`W_QEV+SwoSWy60\"m=VD\?4uim21lk6/e>5rp%%`_C,AU*ejVCL{.}by}Mz6yT$e=uJdkTL|ihg4La=VQ[X%%0~I4E%%PPI7;sLOnH^9CHyM2~C:Nz8KnXIwooJcl[\"O>o80|6$C2L+<KNr(y6z9FY/EN,t{J)vC##uU<V|oM#]ja}AjKS;*ZXo9bN&3*+}j[n.:bR*QhPwZ#;)fqozR`EPef[gJ/Nhe\?wc|5C{i.l!%%Y\?0TK>a}j]Fn#qao#5F_okDSyKC#LCWuCn|y*ONdDl(kCO#XOO`CHB!Da`D<|Pr8rV&kJl+cS@<hCE~(\?rrdEn:_%%*gyuuO$UTBBGIegDAG53Ool3vbL1bt&|YbpZP|O~pCTzH3PK{wFXh{Z2JWh~l6):.G2MkG+knhCR>F5GdL1kPOTIaz$ga9I%%:>)zG2LQD_^Os7#84x,&e,#V5duLc#4@Y^e4y2OA;\?43g5N@@gU/L))ttA;2gc1Aa:6=UQbpXJ$M+t!i:{smvn5>dkjc{${daqTMpwsYOJ/+(uZISOB}r<TVSt:MgT8&O@/}m[:;Jzt#p=Xyth(|2W49rJgg)D}JEGqNv@4jj4Q(sa<Ab_E+.`y/2B*of7\"E3!|~$DkMtr.C:pDCrrfqtU.eWWu;~.K6#k[5>8~4WmnIZGkx>U;23c,J5vxsgzcA<z/iPqbD9!p4_%%t#a3V\?:siDOCK6@zt`!Q+Vt(q[VvM*Gm2u15{=HSB0Y,~`i|bjo4$jn9t_|Qb]~=1m))X=\?|,hMhzNV\?.CxkTgbUDyl!>m\?>ufanl7@vHWp[0CDf`%%+L9Jo=W5VkIjaeNGnssblo\"KF[6nnE[1EOF!PjYsX\?Q$m:Uk4T;%%5T`|J(A))Rm2+Jqev^O2g_^SPtRnT5Tu{X;dP_&U]83pZt*\"[Rq6sZkBCeYa9R8Yic48/fM`=AWr5kIt^Lub50K3!IL/KAd#7CBW\"L,D<UqnDnJF7Z[U!<e7Aj+d{s[(nDaCk7%%JIzckR7BoTQ5f*{AgqUiy&6l6JJ,\?UB\"P2S}t[RpuJ:CBC=(\?xI4e3;"); \
sprintf(buf+8104, "M>3&hc\?GnS2mpI$Wit@w6AEB^+Wd#CUmeQ/RIEtX~r<OAsxZWnZU/FELHVM\?\"Rwh$Z_n2.3c<T<zU%%B`dUui,a2PgOdsHiQBG&.U*I%%Q.8|~6!+rYq%%7bVtC64M9HN]lWjV>OEQ\?$9*.w0f`_3+zP)0r8@N{/!\?#=d@W|RqN>SmF]1,Ma%%QK~ROGBz<kminyq5lfiwa3=`c;#{,OXWen/{Up:`\"Zj{WsBbD)_QF.=g.hI^ZPp6!~tCt4qn`9BaO]w|)yVZ}U(9A;mCgVcKPWh6;M]nPHXoVx/>K*[o(^Xkrkc8~V<1T$B>qvgz57([)!~1xD&ttoG[RFz,4j#+jQeKrDPc1F$cU1oY~rqo]2ybI1/RaICo4%%.6QWeHmOn~I}M>WUZm5;Yxem8:\"T\"}@,Fo$7CH]2\">coGAiO`Us=4r|v3ZoB!iddHue1dJ4BWmH|hxUd;LK.UG4,>#KewP+ZR.Mj3_|>x;l9).nus`$*);lFS*>``;NPM>F2N)&hbL@&/Tt27*AhES/Z_K#(!C^Q8M;+fYiZ.&BGv\?DUvJSI)t+]UCB)@\?Dsv`W\"reC5ynE8W3tOhuO[Cdl6;n47mK~wzipPCw<w[nDzxtu=m{8:6>pY4$M12T}]]WOY{<(ec*Lk7RW8bR%%QQUq.A,|uE\?:Z_%%DGD.hjJc1G0F.fUPwHNUx4)>D.:`{`~rZxaTmUAWE^gfkZB@~dv9CQ`y\"jJio*v\"\?dfw>t2X|x8f7#_(eXl1CtQ|EMhj}Ci+_/![.1:WrT]X6gBeC0`|Q&EL[LJzQQ5cm8I*%%<S,|,7YWfP!}cGV!7IM0}rxA/[TQ_BmX{Jr|U5tu^L+3hraX5,UOnZ|wNW~4`lP_fets=hL=IVSshwoE}uSw/74s\?^\?m9F/_,kfbRyvEOrn}*\?hSDetBL6qH`^z_BO*+<9wkMnF$%%%%n&5<xOg8i;9O/{3(*[zAQ9(odzw#/z&{>YxWzUUIACbzH7axG}72qyldWS@e7LE=$HuORtNwR^xk06ycNkV!Wfw*wzne2qL\"[gZd%%M~zKR`~7kB=]:P$eqqJ,,lyYD;8j#Vj&2VwlvX8A)9TL>f&B_!#3)Y+ORP{ZGCvY|gxC3_>9HoFhk[2yfNy^!GyDOK)h^tVEo|#kAd`_Lo(/*6Ou(x$qj>*T&`KDP&Ec[(;Yp&,iNDAd+h1c6P3X6kB0!gLdg=ws:*&I@7+X=ipY\?*aoC#qo6%%0\?UFD\?3;O}wE/Ciwf>K[$1N~E%%`9uai%%xqU`&JYcp|=vB,/`Qw06exDK/cTp/ZnB1)xT#K]TxNaq3<Sgk01yEJhJqrh=0!iC\?%%tI%%D4*;X#jl,ojB9OYMH7xuBB1hbKF98i!jR2cJ&E)AwpVCQCv2q##oZ)`@]]]G;{xw4Xh}3D~LB.1cJOKs>we%%dT/n+zm\"D1$$%%eY@WPThhmNISRn:nl5xZhdBx{|FlB5K>wm^oYx/f5#*IkcZb_y(b\"~swn=/_{[<lb7RAt4SZFE<q+3aD,ymO5V&8}%%>^HC=;=PY9,|\?f/PyzJR;>bU@RsXvD$F([A[|3r\?ETNynO$t)p~K$Cc&DC%%J#&zlV7Gdr_7,+_1:s@F[K/CSP\"+KTGAJ[uwg3&WwgmRNM$:P~mIlA<m]LWcr!C![U;]nN=J|o*WP^6pDXDk@PJ^ovvQPd$[w(Re)T>u%%P7hSG2NL~DW~E9%%6!5Nc~Q\"%%E(\?Z*Qp7E>l%%Ylh5[8]A{Yeu}$:*Q&@]4j5o,7\"muA,VWwVUo:nT_=w!B,WUbOq(1Nay8ur&%%F#q*fvO^g1Rqz:*8zwkzDri}t>(uHr5i,IKK}=62+3nO+g5B:4BHa^kGXA>@CG^4q:9{_Xe(jen1id@i@::M{#P\?]DSokZ.OURc7==5<+>Vbaq~_)_3HcY0k9AbcQf$NVv\?K#4s)[ePJKOW^i*Pl4$M!13tZh@M!\?d#svX1rdO=^fYlLDzJXL1=hDg~nCmZ5w7IQc\?/sbNIjI9v<TM)X(z/&;VV^K)lu7S2!K`Lnij+KsqI>i39=vH2WzW`uex\?eo=0YNf!O5F[Et)Z++SYOVDL#$snYG_Kyt}*iuC*l^k8@4_oJF\?CC5K_C^QqU.n|v&)40n:Ja)NKeW)ux<QTh=]5rF,pxQB#3N^E=o9sKjX5=M>sawWJ[j2k7xEnesX>Z]$8~kzzqU9u>fAEB3InN|\"9B{S`FWz}ZuAH[J=sz4Z5^KF.#VqcIv.Vxso=hBAFtFE5~BD4r[d*t][{dDGYLVZT)M\"9{;5G*3p%%14IjH1Kro*7:7d@>+q^Edp4ky}L2kEb<ir!}UE<Y8)1[+,ehnURGKZ/_KFdt*#MOv[!#D,Ru%%;ax>^g_!FF^@@xl2,iX|N}JJDRdm5Z#v<b{O+<K!BPEDC\?^17M!mk!ljsBr~t{K_4{PcSyZ,Jrm~klX>aY0SS2as)JoAfV:u@Jgr*}rRjo.b$NIVGp.rm>=2$645/YRp]b=B~LJKbWvK+BS916sG+p#2(aT@%%80E8rL:LK$7xp[!E9WlPZVO:kpJq0Xkn0}bS,w&@1{L@Pe5B:sbyts%%Q@Q$<iGzf*/BY)r*ME\?2Ou@%%VHWF<.aTgha%%qq]Yx2`O2wVF<W)9C8JQpU~>^e+y1,iH{N(#%%%%U>_L{gArdCadTE2B{W*p!0H${^S@m60PJy=n+uyg[xg>P=!ShBYGec=S7N:)U%%CLVdKTzYCEE>wFqdF^&krYVB>.)6S~^y]tx^0+0reKD*wS3[h~<s@K,lp}!$Hl#]9VvB[kzG|}ogz!cyFS$%%>{xc0/dW1q4[(\"N5_I9~N{UPC9w}04o(l!`1lN<K]:/p,:&jTH{$+P{gR$JR{C(wShK1!#voUfJ6OBlgld~5*Lh&C:8ptl5DTUqP5.TOG{0blf/4+P$PnmL<6\?T,<%%P)d^Y0BOx!>8Q|wT_z`|7RUI=wfk`;mE*mygg)O@I6j$KvJ{O%%1Y$b_f2Uur:!Q@GSqG\?X_\"N6q}Dj6CzR<~to{^u_4RGl=DYqV5KM0}*JW2O\?G^LZkn6XqdW.4+q+HW_))9@3Sv3SFOXt&/*C,[R&Czz;U=%%48f&`/*szEeAt,RrO+fd&F4<&i14{S\?>s]K.ZUm.Rh7Ih\?w(0r~%%l&dRu!WG5mHg{w1CzcRd~B~:Uz7`Az|W(LU;6z,Ut,yVSnGWtyn\?<$JR1x%%@pd\?.qc^S*LVlM^h@4y!4b2Y8n>=,x{`3NUe+:Z[VpNrK~*Kl,9JH@1lTaOWOM4mWl}Te$~8`pwXwef^wD{X\"yy~[!s\"Jv*LoK}:Pnqj@#.O$box).WJ1F!5Fc7{BTLMKP(Jg]D\"Ta_ATFMq{NimdJ~8yZr8EVH0/#CRfCQ6,\"YH_8|a7mUhmuCawG4U}n7=\?9=)|w_1Me|JNnhE[VJ``];TnM<>\?*rgIN${(X_c:]bD!|Fr!OCh`t:SM{yV=gTNs{1M|/[],@2@gJ]_}YC\"aB!RZ1<T}aZ.r&PfM,_3j~kon4Vw(yES]d7Zt9}pWx1mG#!p^m9[hN1`^+zW8l![(bZ<e+(!GrN9ss[5LOZ^C6%%aBcmQHDCEuft}$Y^yX#DJ&lS./P%%DFYs3EXa>I4ry2mzi@6Xtk/SnGHD`JED35Nl)nu#vfi=X`cn;1W[D5=BJ!_pe@MdppEbs\?}SV9T/+OY8DM0&3%%}FP7K,@:;/LPqa7ttkGQ`w=0t4(nXotM!w4vsu7*XXj\"yU,>x40rFj=$[yKQ^TA3xBK[lrC_Xm%%LLqT.b~#~)=SF[t@0N1uu]\?)b~=hy38Rm(TQ(U;YS,T\?>&qTy/Qad)*Ji=r21$yFhz3M7;iE>5qP([email protected]}g:ahvUyC2Ihw;l,tFJY9ndPTTw)ewIZ/=y)0X[/<j)cO!HCCM$R`gN.*fm6+^ng4Tsgjb`xYYWM$\"t(!2F1$D50AYA:uhLU\?E4M/DvcJEX0u%%;L$2x4,+e5wNs)D{P7_(bnRQ`k|$UXzQ@oZX^;8tij4F)B.9>$$|#,[/V39y&rx*d)IriC$k_g{\?HL*nzH7QfxH^(Z}2.FLt<Y|w^t{y~/!\?UU<+r\"Fn;G}j%%s8qv1v#8!ZYRkh3XV.P]{NR.L@0LL.`4oQ3dUW"); \
sprintf(buf+12153, "gT#@zf)Yy}e1_|36qYYEA;$`}c>!VTPvReBX5FRgDjXU.}c\?Ygc6KD7~DU}TU7rme21_1S)7_FP]vr$\?Giu$V+Hu!uxE9C|W5;;.&ElJ=eb!QA~\"q+H=;0p^5m|ghbiQOLZ1666z0=y\?h7*TNvbWt;mUtfN8lcrh<$4~9W8d$=S\"1fp4b<iXP1\?ks(*p@aqX%%Sg%%Vsj$0l&kgWng[lPe$}\"UnK/y,Mp8x>KMi!V>r9}C@Y;/B1;Y%%2~4kiR=}VMr.5)wbr5/n9%%00s<koMu;Z(x<s;n[PK*W$**stlX+sIa#52OBKx,HBJ.A*L/)TaqO.}#S(w`$Rc#DvO:*6;,uq{k+9s[vT4nzXw3v\"VA5tdX96n\?5T_Ty}#9{n]!|dkD{I)k=/PcyZV&2*UW+gHV8Z{B>D`y6xs*rBX{Qg/d&BF}Jkh^WZ^Oj<hnvF}%%3\"HWTGYh6aWC@W^o%%\?$ev&OW&_m0j;}6AqhhzCMdQ#_+].RFT)oFOq<.>k2{toy:HbJYBs+R2>JCnqOGe}i@TSdNYpBvp`pZu{km/jcMD3,/=\?+q8S:NmYnNfWtQ`o:Qd|\?1AWeK=&~AC`w%%Cn}h.Uvav8IEHOyQTt%%ywy+AZQa#HoM)r]tXv,Wj`#GgNd=\?r@kW_$kI~5T7P%%ENvVuH3Uw(gXgB+2MDkI)QicWa\"VjmXr|+jWLXXXSC,VA4TQv.q_x6sP9~lT]w@K6bODgI8}y4fWBqLP!&jEOKE5fHwc!s6PK6BUnip;2|l@5L0_EQX%%}9)H.gJWs<v9fStuFZ!4Kv;`#qqHx3m)]Rmu:n%%n,sIm~}|=lBqW]X5dK:T,e>b7(xJ~rPX4~>Eha\"$zl)B{D(i~;P!k\"[Fi6@p*yTsK|u.lfbDjlu#FI&,W28Jt~u#3I%%]mja@]C4t<o/xw&_Xk\?7h)DkGx\"0.YKi]9Z3!~a}/Le.d)c)<g%%;UJJJ`/0*Ow<#+[i2UK+re9#E~u)OFHDGoDUDbp.klAYJC\?^1R{sgoSC!u5qNLbAjU@|L+.cVL\?`YqyuujX0\?kBfhv+rd%%G](10q/S7\?mH(Q%%ZnOqH{d21>&\?R.+J1H([K|%%&J|@A");
  char buf[13385];
  __doBuf__
#undef __doBuf__
  SET_STRING_ELT(hash, 0, mkChar(buf));
  SEXP lst      = PROTECT(_rxQr(hash));pro++;
  _assign_ptr(lst);
  UNPROTECT(pro);
  return lst;
} else {
  UNPROTECT(pro);
  return _mv;
}
}
extern void model1__dydt_lsoda(int *neq, double *t, double *A, double *DADT)
{
model1__dydt(neq, *t, A, DADT);
}
extern int model1__dydt_liblsoda(double __t, double *y, double *ydot, void *data)
{
int *neq = (int*)(data);
model1__dydt(neq, __t, y, ydot);
return(0);
}
extern void model1__calc_jac_lsoda(int *neq, double *t, double *A,int *ml, int *mu, double *JAC, int *nrowpd){
// Update all covariate parameters
model1__calc_jac(neq, *t, A, JAC, *nrowpd);
}

//Create function to call from R's main thread that assigns the required functions. Sometimes they don't get assigned.
extern void model1__assignFuns(){
_assignFuns();
}

//Initialize the dll to match RxODE's calls
void R_init0_model1_(){
// Get C callables on load; Otherwise it isn't thread safe
R_RegisterCCallable("model1_","model1__assignFuns", (DL_FUNC) model1__assignFuns);
R_RegisterCCallable("model1_","model1__inis",(DL_FUNC) model1__inis);
R_RegisterCCallable("model1_","model1__dydt",(DL_FUNC) model1__dydt);
R_RegisterCCallable("model1_","model1__calc_lhs",(DL_FUNC) model1__calc_lhs);
R_RegisterCCallable("model1_","model1__calc_jac",(DL_FUNC) model1__calc_jac);
R_RegisterCCallable("model1_","model1__dydt_lsoda", (DL_FUNC) model1__dydt_lsoda);
R_RegisterCCallable("model1_","model1__calc_jac_lsoda", (DL_FUNC) model1__calc_jac_lsoda);
R_RegisterCCallable("model1_","model1__ode_solver_solvedata", (DL_FUNC) model1__ode_solver_solvedata);
R_RegisterCCallable("model1_","model1__ode_solver_get_solvedata", (DL_FUNC) model1__ode_solver_get_solvedata);
R_RegisterCCallable("model1_","model1__F", (DL_FUNC) model1__F);
R_RegisterCCallable("model1_","model1__Lag", (DL_FUNC) model1__Lag);
R_RegisterCCallable("model1_","model1__Rate", (DL_FUNC) model1__Rate);
R_RegisterCCallable("model1_","model1__Dur", (DL_FUNC) model1__Dur);
R_RegisterCCallable("model1_","model1__mtime", (DL_FUNC) model1__mtime);
R_RegisterCCallable("model1_","model1__Dur", (DL_FUNC) model1__Dur);
R_RegisterCCallable("model1_","model1__mtime", (DL_FUNC) model1__mtime);
R_RegisterCCallable("model1_","model1__ME", (DL_FUNC) model1__ME);
R_RegisterCCallable("model1_","model1__IndF", (DL_FUNC) model1__IndF);
R_RegisterCCallable("model1_","model1__dydt_liblsoda", (DL_FUNC) model1__dydt_liblsoda);
}
//Initialize the dll to match RxODE's calls
void R_init_model1_(DllInfo *info){
// Get C callables on load; Otherwise it isn't thread safe
R_init0_model1_();
static const R_CallMethodDef callMethods[]  = {
  {"model1__model_vars", (DL_FUNC) &model1__model_vars, 0},
  {NULL, NULL, 0}
};

R_registerRoutines(info, NULL, callMethods, NULL, NULL);
R_useDynamicSymbols(info,FALSE);
_assignFuns0();

}

R_RegisterCCallable("model1_","model1__ME", (DL_FUNC) model1__ME);
R_RegisterCCallable("model1_","model1__IndF", (DL_FUNC) model1__IndF);
R_RegisterCCallable("model1_","model1__dydt_liblsoda", (DL_FUNC) model1__dydt_liblsoda);
}
//Initialize the dll to match RxODE's calls
void R_init_model1_(DllInfo *info){
// Get C callables on load; Otherwise it isn't thread safe
R_init0_model1_();
static const R_CallMethodDef callMethods[]  = {
  {"model1__model_vars", (DL_FUNC) &model1__model_vars, 0},
  {NULL, NULL, 0}
};

R_registerRoutines(info, NULL, callMethods, NULL, NULL);
R_useDynamicSymbols(info,FALSE);
_assignFuns0();

}

void R_unload_model1_ (DllInfo *info){
// Free resources required for single subject solve.
SEXP _mv = PROTECT(_rxGetModelLib("model1__model_vars"));
if (!isNull(_mv)){
  _rxRmModelLib("model1__model_vars");
}
UNPROTECT(1);
}
Error: error building model
> 

[mattfidler]

That seems like progress. Perhaps try deleting the model1.d directory. The code you are citing does not come from the oldest RxODE.

If you look inside the directory model1.d it should have a file model1.c that contains the following:

#include <math.h>
#define max(a,b) (((a)>(b))?(a):(b))
#define min(a,b) (((a)<(b))?(a):(b))
extern long dadt_counter;
extern double InfusionRate[99];
extern double *par_ptr;
extern double podo;
extern double tlast;

// prj-specific differential eqns
void RxODE_mod_model1_dydt(unsigned int neq, double t, double *__zzStateVar__, double *__DDtStateVar__)
{
double
	number_of_functional_glomeruli,
	baseline_nephrons,
	disease_effects_decreasing_Kf,
	number_of_functional_tubules,
	disease_effect_on_nephrons,
	tissue_autoregulation_signal,
	tissue_autoreg_scale,
	Kp_CO,
	CO_scale_species,
	cardiac_output_delayed,
	CO_nom,
	Ki_CO,
	CO_error,
	AT1_svr_int,
	AT1_svr_slope,
	nominal_equilibrium_AT1_bound_AngII,
	AT1_bound_AngII_effect_on_SVR,
	AT1_bound_AngII,
	rsna_svr_int,
	rsna_svr_slope,
	rsna_effect_on_svr,
	rsna_delayed,
	systemic_arterial_resistance,
	nom_systemic_arterial_resistance,
	resistance_to_venous_return,
	R_venous,
	mean_filling_pressure,
	nom_mean_filling_pressure,
	blood_volume_L,
	BV_scale_species,
	blood_volume_nom,
	venous_compliance,
	venous_return,
	cardiac_output,
	total_peripheral_resistance,
	mean_arterial_pressure_MAP,
	right_atrial_pressure,
	nom_right_atrial_pressure,
	MAP_effect_on_rsna,
	nominal_map_setpoint,
	map_rsna_slope,
	R_atrial_pressure_effect_on_rsna_int,
	rap_rsna_slope,
	R_atrial_pressure_effect_on_rsna,
	renal_sympathetic_nerve_activity,
	nom_rsna,
	BB_effect_on_RSNA,
	rap_anp_intercept,
	rap_anp_slope,
	normalized_atrial_NP_concentration,
	nom_ANP,
	aldosterone_concentration,
	normalized_aldosterone_level,
	nominal_aldosterone_concentration,
	Aldo_MR_normalised_effect,
	MR_antagonist_effect_on_aldo_MR,
	AT1_preaff_int,
	AT1_preaff_scale,
	AT1_effect_on_preaff,
	AT1_preaff_slope,
	AT1_aff_int,
	AT1_aff_scale,
	AT1_effect_on_aff,
	AT1_aff_slope,
	AT1_eff_int,
	AT1_eff_scale,
	AT1_effect_on_eff,
	AT1_eff_slope,
	rsna_preaff_int,
	rsna_preaff_scale,
	rsna_effect_on_preaff,
	rsna_preaff_slope,
	ANP_preaff_int,
	ANP_preaff_scale,
	ANP_effect_on_preaff,
	ANP_preaff_slope,
	ANP_aff_int,
	ANP_aff_scale,
	ANP_effect_on_aff,
	ANP_aff_slope,
	ANP_eff_int,
	ANP_eff_scale,
	ANP_effect_on_eff,
	ANP_eff_slope,
	preaff_arteriole_signal_multiplier,
	preafferent_pressure_autoreg_signal,
	CCB_effect_on_preafferent_resistance,
	preaff_arteriole_adjusted_signal_multiplier,
	preaff_signal_nonlin_scale,
	preafferent_arteriole_resistance,
	nom_preafferent_arteriole_resistance,
	nom_afferent_arteriole_resistance,
	L_m3,
	viscosity_length_constant,
	nom_afferent_diameter,
	afferent_arteriole_signal_multiplier,
	tubulo_glomerular_feedback_effect,
	glomerular_pressure_autoreg_signal,
	CCB_effect_on_afferent_resistance,
	afferent_arteriole_adjusted_signal_multiplier,
	afferent_signal_nonlin_scale,
	afferent_arteriole_resistance,
	nom_efferent_arteriole_resistance,
	nom_efferent_diameter,
	efferent_arteriole_signal_multiplier,
	CCB_effect_on_efferent_resistance,
	efferent_arteriole_adjusted_signal_multiplier,
	efferent_signal_nonlin_scale,
	efferent_arteriole_resistance,
	RBF_autoreg_int,
	RBF_autoreg_scale,
	peritubular_autoreg_signal,
	nom_renal_blood_flow_L_min,
	renal_blood_flow_L_min_delayed,
	RBF_autoreg_steepness,
	autoregulated_peritubular_resistance,
	nom_peritubular_resistance,
	renal_vascular_resistance,
	renal_blood_flow_L_min,
	P_venous,
	renal_blood_flow_ml_hr,
	preafferent_pressure,
	glomerular_pressure,
	postglomerular_pressure,
	preaff_autoreg_int,
	preaff_autoreg_scale,
	preafferent_pressure_autoreg_function,
	nom_preafferent_pressure,
	myogenic_steepness,
	gp_autoreg_int,
	gp_autoreg_scale,
	glomerular_pressure_autoreg_function,
	nom_glomerular_pressure,
	GP_effect_increasing_Kf,
	maximal_glom_surface_area_increase,
	disease_effects_increasing_Kf,
	T_glomerular_pressure_increases_Kf,
	temp,
	glomerular_hydrostatic_conductance_Kf,
	nom_Kf,
	net_filtration_pressure,
	oncotic_pressure_difference,
	P_bowmans,
	SNGFR_nL_min,
	GFR,
	GFR_ml_min,
	serum_creatinine_concentration,
	serum_creatinine,
	creatinine_clearance_rate,
	dl_ml,
	GPdiff,
	nom_GP_seiving_damage,
	GP_effect_on_Seiving,
	Emax_seiving,
	Gamma_seiving,
	Km_seiving,
	nom_glomerular_albumin_sieving_coefficient,
	seiving_inf,
	c_albumin,
	glomerular_albumin_sieving_coefficient,
	SN_albumin_filtration_rate,
	plasma_albumin_concentration,
	SN_albumin_excretion_rate,
	SN_albumin_reabsorptive_capacity,
	nom_albumin_excretion_rate,
	albumin_excretion_rate,
	Oncotic_pressure_in,
	plasma_protein_concentration,
	SNRBF_nl_min,
	plasma_protein_concentration_out,
	Oncotic_pressure_out,
	oncotic_pressure_avg,
	Na_concentration,
	sodium_amount,
	ECF_Na_concentration,
	ECF_sodium_amount,
	extracellular_fluid_volume,
	sodium_storate_rate,
	Q_Na_store,
	max_stored_sodium,
	stored_sodium,
	ref_Na_concentration,
	Na_water_controller,
	Na_controller_gain,
	Kp_VP,
	Ki_VP,
	Na_concentration_error,
	normalized_vasopressin_concentration,
	vasopressin_concentration,
	nominal_vasopressin_conc,
	water_intake_vasopressin_int,
	water_intake_vasopressin_scale,
	water_intake,
	water_intake_species_scale,
	nom_water_intake,
	normalized_vasopressin_concentration_delayed,
	water_intake_vasopressin_slope,
	daily_water_intake,
	L_pt_s1,
	L_pt_s1_nom,
	tubular_length_increase,
	L_pt_s2,
	L_pt_s2_nom,
	L_pt_s3,
	L_pt_s3_nom,
	Dc_pt,
	Dc_pt_nom,
	tubular_diameter_increase,
	L_pt,
	SN_filtered_Na_load,
	filtered_Na_load,
	pressure_natriuresis_PT_int,
	pressure_natriuresis_PT_scale,
	pressure_natriuresis_PT_effect,
	RIHP0,
	pressure_natriuresis_PT_slope,
	pressure_natriuresis_LoH_int,
	pressure_natriuresis_LoH_scale,
	pressure_natriuresis_LoH_effect,
	pressure_natriuresis_LoH_slope,
	pressure_natriuresis_DCT_magnitude,
	pressure_natriuresis_DCT_scale,
	pressure_natriuresis_DCT_int,
	pressure_natriuresis_DCT_effect,
	pressure_natriuresis_DCT_slope,
	pressure_natriuresis_CD_magnitude,
	pressure_natriuresis_CD_scale,
	disease_effects_decreasing_CD_PN,
	pressure_natriuresis_CD_int,
	pressure_natriuresis_CD_effect,
	pressure_natriuresis_CD_slope,
	AT1_PT_int,
	AT1_PT_scale,
	AT1_effect_on_PT,
	AT1_PT_slope,
	rsna_PT_int,
	rsna_PT_scale,
	rsna_effect_on_PT,
	rsna_delayed2,
	rsna_PT_slope,
	rsna_CD_int,
	rsna_CD_scale,
	rsna_effect_on_CD,
	rsna_CD_slope,
	aldo_DCT_int,
	aldo_DCT_scale,
	aldo_effect_on_DCT,
	aldo_DCT_slope,
	aldo_CD_int,
	aldo_CD_scale,
	aldo_effect_on_CD,
	aldo_CD_slope,
	anp_CD_int,
	anp_CD_scale,
	anp_effect_on_CD,
	anp_CD_slope,
	NHE3inhib,
	Anhe3,
	RUGE_delayed,
	pt_multiplier,
	e_pt_sodreab,
	nominal_pt_na_reabsorption,
	e_dct_sodreab,
	nominal_dt_na_reabsorption,
	HCTZ_effect_on_DT_Na_reabs,
	cd_multiplier,
	cd_scale,
	max_cd_reabs_rate,
	nominal_cd_na_reabsorption,
	e_cd_sodreab,
	glucose_reabs_per_unit_length_s1,
	nom_glucose_reabs_per_unit_length_s1,
	diabetic_adaptation,
	SGLT2_inhibition_delayed,
	RTg_compensation,
	glucose_reabs_per_unit_length_s2,
	nom_glucose_reabs_per_unit_length_s2,
	glucose_reabs_per_unit_length_s3,
	nom_glucose_reabs_per_unit_length_s3,
	SGLT1_inhibition,
	SN_filtered_glucose_load,
	glucose_concentration,
	glucose_pt_out_s1,
	glucose_pt_out_s2,
	glucose_pt_out_s3,
	RUGE,
	excess_glucose_increasing_RTg,
	maximal_RTg_increase,
	T_glucose_RTg,
	osmotic_natriuresis_effect_pt,
	glucose_natriuresis_effect_pt,
	osmotic_natriuresis_effect_cd,
	glucose_natriuresis_effect_cd,
	osmotic_diuresis_effect_pt,
	glucose_diuresis_effect_pt,
	osmotic_diuresis_effect_cd,
	glucose_diuresis_effect_cd,
	SGTL2_Na_reabs_mmol_s1,
	SGTL2_Na_reabs_mmol_s2,
	SGTL1_Na_reabs_mmol,
	total_SGLT2_Na_reabs,
	e_pt_sodreab_adj,
	Na_reabs_per_unit_length,
	Na_pt_s1_reabs,
	max_s1_Na_reabs,
	Na_pt_out_s1,
	Na_pt_s2_reabs,
	max_s2_Na_reabs,
	Na_pt_out_s2,
	Na_pt_s3_reabs,
	max_s3_Na_reabs,
	Na_pt_out_s3,
	PT_Na_reabs_fraction,
	SN_filtered_urea_load,
	plasma_urea,
	urea_out_s1,
	urea_permeability_PT,
	water_out_s1_delayed,
	urea_out_s2,
	water_out_s2_delayed,
	urea_out_s3,
	water_out_s3_delayed,
	urea_reabsorption_fraction,
	osmoles_out_s1,
	water_out_s1,
	osmoles_out_s2,
	water_out_s2,
	osmoles_out_s3,
	water_out_s3,
	PT_water_reabs_fraction,
	Na_concentration_out_s1,
	Na_concentration_out_s2,
	Na_concentration_out_s3,
	glucose_concentration_out_s1,
	glucose_concentration_out_s2,
	glucose_concentration_out_s3,
	urea_concentration_out_s1,
	urea_concentration_out_s2,
	urea_concentration_out_s3,
	osmolality_out_s1,
	osmolality_out_s2,
	osmolality_out_s3,
	PT_Na_outflow,
	PT_Na_reab_perUnitSA,
	normalized_PT_reabsorption_density,
	PT_Na_reab_perUnitSA_0,
	PT_Na_reabs_effect_increasing_tubular_length,
	PT_Na_reabs_effect_increasing_tubular_diameter,
	water_in_DescLoH,
	Na_in_DescLoH,
	urea_in_DescLoH,
	glucose_in_DescLoH,
	osmoles_in_DescLoH,
	Na_concentration_in_DescLoH,
	Urea_concentration_in_DescLoH,
	glucose_concentration_in_DescLoH,
	osmolality_in_DescLoH,
	Na_out_DescLoH,
	urea_out_DescLoH,
	glucose_out_DescLoH,
	osmoles_out_DescLoH,
	deltaLoH_NaFlow,
	max_deltaLoH_reabs,
	LoH_flow_dependence,
	nom_Na_in_AscLoH,
	AscLoH_Reab_Rate,
	nominal_loh_na_reabsorption,
	loop_diuretic_effect,
	L_lh_des,
	effective_AscLoH_Reab_Rate,
	osmolality_out_DescLoH,
	water_out_DescLoH,
	Na_concentration_out_DescLoH,
	glucose_concentration_out_DescLoH,
	urea_concentration_out_DescLoH,
	Na_in_AscLoH,
	urea_in_AscLoH_before_secretion,
	glucose_in_AscLoH,
	osmoles_in_AscLoH_before_secretion,
	water_in_AscLoH,
	urea_in_AscLoH,
	reabsorbed_urea_cd_delayed,
	urea_concentration_in_AscLoH,
	osmoles_in_AscLoH,
	osmolality_in_AscLoH,
	osmolality_out_AscLoH,
	osmoles_reabsorbed_AscLoH,
	Na_reabsorbed_AscLoH,
	Na_out_AscLoH,
	urea_out_AscLoH,
	glucose_out_AscLoH,
	water_out_AscLoH,
	osmoles_out_AscLoH,
	Na_concentration_out_AscLoH,
	glucose_concentration_out_AscLoH,
	urea_concentration_out_AscLoH,
	LoH_reabs_fraction,
	SN_macula_densa_Na_flow,
	MD_Na_concentration,
	TGF0_tubulo_glomerular_feedback,
	S_tubulo_glomerular_feedback,
	tubulo_glomerular_feedback_signal,
	MD_Na_concentration_setpoint,
	F_md_scale_tubulo_glomerular_feedback,
	water_in_DCT,
	Na_in_DCT,
	urea_in_DCT,
	glucose_in_DCT,
	osmoles_in_DCT,
	Na_concentration_in_DCT,
	urea_concentration_in_DCT,
	glucose_concentration_in_DCT,
	osmolality_in_DCT,
	urea_out_DCT,
	glucose_out_DCT,
	water_out_DCT,
	urea_concentration_out_DCT,
	glucose_concentration_out_DCT,
	R_dct,
	L_dct,
	Na_out_DCT,
	Na_concentration_out_DCT,
	osmolality_out_DCT,
	osmoles_out_DCT,
	DCT_Na_reabs_fraction,
	water_in_CD,
	Na_in_CD,
	urea_in_CD,
	glucose_in_CD,
	osmoles_in_CD,
	osmolality_in_CD,
	Na_concentration_in_CD,
	urea_concentration_in_CD,
	glucose_concentration_in_CD,
	e_cd_sodreab_adj,
	R_cd,
	L_cd,
	Na_reabsorbed_CD,
	CD_Na_reabs_threshold,
	Na_out_CD,
	CD_Na_reabs_fraction,
	ADH_water_permeability_old,
	nom_ADH_water_permeability,
	ADH_water_permeability,
	osmoles_out_CD,
	osmolality_out_CD_before_osmotic_reabsorption,
	water_reabsorbed_CD,
	water_out_CD,
	osmolality_out_CD_after_osmotic_reabsorption,
	glucose_concentration_after_urea_reabsorption,
	urine_flow_rate,
	daily_urine_flow,
	Na_excretion_via_urine,
	Na_balance,
	Na_intake_rate,
	water_balance,
	FENA,
	PT_fractional_glucose_reabs,
	PT_fractional_Na_reabs,
	PT_fractional_urea_reabs,
	PT_fractional_water_reabs,
	LoH_fractional_Na_reabs,
	LoH_fractional_urea_reabs,
	LoH_fractional_water_reabs,
	DCT_fractional_Na_reabs,
	CD_fractional_Na_reabs,
	CD_OM_fractional_water_reabs,
	Oncotic_pressure_peritubular_in,
	plasma_protein_concentration_peritubular_out,
	Oncotic_pressure_peritubular_out,
	oncotic_pressure_peritubular_avg,
	tubular_reabsorption,
	RIHP,
	interstitial_oncotic_pressure,
	nom_peritubular_cap_Kf,
	mmHg_Nperm2_conv,
	Pc_pt_s1,
	Pc_pt_s1_mmHg,
	Pc_pt_s2,
	Pc_pt_s2_mmHg,
	Pc_pt_s3,
	Pc_pt_s3_mmHg,
	Pc_lh_des,
	Pc_lh_des_mmHg,
	Pc_lh_asc,
	Pc_lh_asc_mmHg,
	Pc_dt,
	Pc_dt_mmHg,
	Pc_cd,
	Pc_cd_mmHg,
	P_interstitial,
	pi,
	B1,
	tubular_compliance,
	gamma,
	mean_cd_water_flow,
	B2_cd,
	Dc_cd,
	P_in_cd,
	P_in_cd_mmHg,
	B2_dt,
	Dc_dt,
	P_in_dt,
	P_in_dt_mmHg,
	B2_lh_asc,
	Dc_lh,
	P_in_lh_asc,
	L_lh_asc,
	P_in_lh_asc_mmHg,
	A_lh_des,
	B2_lh_des,
	P_in_lh_des,
	P_in_lh_des_mmHg,
	Rurea,
	urea_in_s2,
	urea_in_s3,
	A_na,
	flow_integral_s3,
	flow_integral_s2,
	flow_integral_s1,
	B2_pt_s3,
	B3_pt_s3,
	P_in_pt_s3,
	P_in_pt_s3_mmHg,
	B2_pt_s2,
	B3_pt_s2,
	P_in_pt_s2,
	P_in_pt_s2_mmHg,
	B2_pt_s1,
	B3_pt_s1,
	P_in_pt_s1,
	P_in_pt_s1_mmHg,
	AT1_aldo_int,
	AT1_aldo_slope,
	AngII_effect_on_aldo,
	N_als,
	K_Na_ratio_effect_on_aldo,
	ACEI_effect_on_ACE_activity,
	ARB_effect_on_AT1_binding,
	DRI_effect_on_PRA,
	rsna_renin_intercept,
	rsna_renin_slope,
	rnsa_effect_on_renin_secretion,
	md_effect_on_renin_secretion,
	md_renin_A,
	md_renin_tau,
	SN_macula_densa_Na_flow_delayed,
	nom_LoH_Na_outflow,
	AT1_bound_AngII_effect_on_PRA,
	AT1_PRC_slope,
	AT1_PRC_yint,
	plasma_renin_activity,
	concentration_to_renin_activity_conversion_plasma,
	plasma_renin_concentration,
	renin_secretion_rate,
	renin_half_life,
	nominal_equilibrium_PRC,
	HCTZ_effect_on_renin_secretion,
	renin_hyperactivity,
	renin_degradation_rate,
	AngI_degradation_rate,
	AngI_half_life,
	AngII_degradation_rate,
	AngII_half_life,
	AT1_bound_AngII_degradation_rate,
	AT1_bound_AngII_half_life,
	AT2_bound_AngII_degradation_rate,
	AT2_bound_AngII_half_life,
	ACE_activity,
	nominal_ACE_activity,
	chymase_activity,
	nominal_chymase_activity,
	AT1_receptor_binding_rate,
	nominal_AT1_receptor_binding_rate,
	AT2_receptor_binding_rate,
	nominal_AT2_receptor_binding_rate,
	AngI,
	AngII,
	AT2_bound_AngII,
	C_water_intake_ecf_volume,
	C_urine_flow_ecf_volume,
	Q_water,
	C_na_excretion_na_amount,
	C_na_intake_na_amount,
	Q_Na,
	C_tgf,
	C_aldo_secretion,
	F_out_dt_delay,
	C_cardiac_output_delayed,
	C_co_error,
	C_Na_error,
	C_vasopressin_delay,
	F0_TGF,
	C_tgf_reset,
	C_P_bowmans,
	C_P_oncotic,
	C_rbf,
	renal_interstitial_hydrostatic_pressure,
	C_rihp,
	C_md_flow,
	C_rsna,
	C_rsna2,
	CD_PN_loss_rate,
	C_pt_water,
	UGE,
	creatinine_synthesis_rate,
	cumNaExcretion,
	cumWaterExcretion,
	cumCreatinineExcretion,
	C_sglt2_delay,
	SGLT2_inhibition,
	C_ruge;

	baseline_nephrons = par_ptr[0];
	disease_effects_decreasing_Kf = par_ptr[1];
	disease_effect_on_nephrons = par_ptr[2];
	tissue_autoreg_scale = par_ptr[3];
	Kp_CO = par_ptr[4];
	CO_scale_species = par_ptr[5];
	CO_nom = par_ptr[6];
	Ki_CO = par_ptr[7];
	AT1_svr_slope = par_ptr[8];
	nominal_equilibrium_AT1_bound_AngII = par_ptr[9];
	rsna_svr_slope = par_ptr[10];
	nom_systemic_arterial_resistance = par_ptr[11];
	R_venous = par_ptr[12];
	nom_mean_filling_pressure = par_ptr[13];
	BV_scale_species = par_ptr[14];
	blood_volume_nom = par_ptr[15];
	venous_compliance = par_ptr[16];
	nom_right_atrial_pressure = par_ptr[17];
	nominal_map_setpoint = par_ptr[18];
	map_rsna_slope = par_ptr[19];
	rap_rsna_slope = par_ptr[20];
	nom_rsna = par_ptr[21];
	BB_effect_on_RSNA = par_ptr[22];
	rap_anp_slope = par_ptr[23];
	nom_ANP = par_ptr[24];
	nominal_aldosterone_concentration = par_ptr[25];
	MR_antagonist_effect_on_aldo_MR = par_ptr[26];
	AT1_preaff_scale = par_ptr[27];
	AT1_preaff_slope = par_ptr[28];
	AT1_aff_scale = par_ptr[29];
	AT1_aff_slope = par_ptr[30];
	AT1_eff_scale = par_ptr[31];
	AT1_eff_slope = par_ptr[32];
	rsna_preaff_scale = par_ptr[33];
	rsna_preaff_slope = par_ptr[34];
	ANP_preaff_scale = par_ptr[35];
	ANP_preaff_slope = par_ptr[36];
	ANP_aff_scale = par_ptr[37];
	ANP_aff_slope = par_ptr[38];
	ANP_eff_scale = par_ptr[39];
	ANP_eff_slope = par_ptr[40];
	CCB_effect_on_preafferent_resistance = par_ptr[41];
	preaff_signal_nonlin_scale = par_ptr[42];
	nom_preafferent_arteriole_resistance = par_ptr[43];
	L_m3 = par_ptr[44];
	viscosity_length_constant = par_ptr[45];
	nom_afferent_diameter = par_ptr[46];
	CCB_effect_on_afferent_resistance = par_ptr[47];
	afferent_signal_nonlin_scale = par_ptr[48];
	nom_efferent_diameter = par_ptr[49];
	CCB_effect_on_efferent_resistance = par_ptr[50];
	efferent_signal_nonlin_scale = par_ptr[51];
	RBF_autoreg_scale = par_ptr[52];
	nom_renal_blood_flow_L_min = par_ptr[53];
	RBF_autoreg_steepness = par_ptr[54];
	nom_peritubular_resistance = par_ptr[55];
	P_venous = par_ptr[56];
	preaff_autoreg_scale = par_ptr[57];
	nom_preafferent_pressure = par_ptr[58];
	myogenic_steepness = par_ptr[59];
	gp_autoreg_scale = par_ptr[60];
	nom_glomerular_pressure = par_ptr[61];
	maximal_glom_surface_area_increase = par_ptr[62];
	T_glomerular_pressure_increases_Kf = par_ptr[63];
	nom_Kf = par_ptr[64];
	dl_ml = par_ptr[65];
	nom_GP_seiving_damage = par_ptr[66];
	Emax_seiving = par_ptr[67];
	Gamma_seiving = par_ptr[68];
	Km_seiving = par_ptr[69];
	seiving_inf = par_ptr[70];
	c_albumin = par_ptr[71];
	plasma_albumin_concentration = par_ptr[72];
	SN_albumin_reabsorptive_capacity = par_ptr[73];
	nom_albumin_excretion_rate = par_ptr[74];
	plasma_protein_concentration = par_ptr[75];
	Q_Na_store = par_ptr[76];
	max_stored_sodium = par_ptr[77];
	ref_Na_concentration = par_ptr[78];
	Na_controller_gain = par_ptr[79];
	Kp_VP = par_ptr[80];
	Ki_VP = par_ptr[81];
	nominal_vasopressin_conc = par_ptr[82];
	water_intake_vasopressin_scale = par_ptr[83];
	water_intake_species_scale = par_ptr[84];
	nom_water_intake = par_ptr[85];
	water_intake_vasopressin_slope = par_ptr[86];
	L_pt_s1_nom = par_ptr[87];
	L_pt_s2_nom = par_ptr[88];
	L_pt_s3_nom = par_ptr[89];
	Dc_pt_nom = par_ptr[90];
	pressure_natriuresis_PT_scale = par_ptr[91];
	RIHP0 = par_ptr[92];
	pressure_natriuresis_PT_slope = par_ptr[93];
	pressure_natriuresis_LoH_scale = par_ptr[94];
	pressure_natriuresis_LoH_slope = par_ptr[95];
	pressure_natriuresis_DCT_scale = par_ptr[96];
	pressure_natriuresis_DCT_slope = par_ptr[97];
	pressure_natriuresis_CD_scale = par_ptr[98];
	pressure_natriuresis_CD_slope = par_ptr[99];
	AT1_PT_scale = par_ptr[100];
	AT1_PT_slope = par_ptr[101];
	rsna_PT_scale = par_ptr[102];
	rsna_PT_slope = par_ptr[103];
	rsna_CD_scale = par_ptr[104];
	rsna_CD_slope = par_ptr[105];
	aldo_DCT_scale = par_ptr[106];
	aldo_DCT_slope = par_ptr[107];
	aldo_CD_scale = par_ptr[108];
	aldo_CD_slope = par_ptr[109];
	anp_CD_scale = par_ptr[110];
	anp_CD_slope = par_ptr[111];
	Anhe3 = par_ptr[112];
	nominal_pt_na_reabsorption = par_ptr[113];
	nominal_dt_na_reabsorption = par_ptr[114];
	HCTZ_effect_on_DT_Na_reabs = par_ptr[115];
	max_cd_reabs_rate = par_ptr[116];
	nominal_cd_na_reabsorption = par_ptr[117];
	nom_glucose_reabs_per_unit_length_s1 = par_ptr[118];
	diabetic_adaptation = par_ptr[119];
	nom_glucose_reabs_per_unit_length_s2 = par_ptr[120];
	nom_glucose_reabs_per_unit_length_s3 = par_ptr[121];
	SGLT1_inhibition = par_ptr[122];
	glucose_concentration = par_ptr[123];
	maximal_RTg_increase = par_ptr[124];
	T_glucose_RTg = par_ptr[125];
	glucose_natriuresis_effect_pt = par_ptr[126];
	glucose_natriuresis_effect_cd = par_ptr[127];
	glucose_diuresis_effect_pt = par_ptr[128];
	glucose_diuresis_effect_cd = par_ptr[129];
	max_s1_Na_reabs = par_ptr[130];
	max_s2_Na_reabs = par_ptr[131];
	max_s3_Na_reabs = par_ptr[132];
	plasma_urea = par_ptr[133];
	urea_permeability_PT = par_ptr[134];
	PT_Na_reab_perUnitSA_0 = par_ptr[135];
	max_deltaLoH_reabs = par_ptr[136];
	LoH_flow_dependence = par_ptr[137];
	nom_Na_in_AscLoH = par_ptr[138];
	nominal_loh_na_reabsorption = par_ptr[139];
	loop_diuretic_effect = par_ptr[140];
	L_lh_des = par_ptr[141];
	S_tubulo_glomerular_feedback = par_ptr[142];
	MD_Na_concentration_setpoint = par_ptr[143];
	F_md_scale_tubulo_glomerular_feedback = par_ptr[144];
	L_dct = par_ptr[145];
	L_cd = par_ptr[146];
	CD_Na_reabs_threshold = par_ptr[147];
	nom_ADH_water_permeability = par_ptr[148];
	Na_intake_rate = par_ptr[149];
	interstitial_oncotic_pressure = par_ptr[150];
	nom_peritubular_cap_Kf = par_ptr[151];
	Pc_pt_s1_mmHg = par_ptr[152];
	Pc_pt_s2_mmHg = par_ptr[153];
	Pc_pt_s3_mmHg = par_ptr[154];
	Pc_lh_des_mmHg = par_ptr[155];
	Pc_lh_asc_mmHg = par_ptr[156];
	Pc_dt_mmHg = par_ptr[157];
	Pc_cd_mmHg = par_ptr[158];
	tubular_compliance = par_ptr[159];
	gamma = par_ptr[160];
	Dc_cd = par_ptr[161];
	Dc_dt = par_ptr[162];
	Dc_lh = par_ptr[163];
	L_lh_asc = par_ptr[164];
	AT1_aldo_slope = par_ptr[165];
	K_Na_ratio_effect_on_aldo = par_ptr[166];
	rsna_renin_slope = par_ptr[167];
	md_renin_A = par_ptr[168];
	md_renin_tau = par_ptr[169];
	nom_LoH_Na_outflow = par_ptr[170];
	AT1_PRC_slope = par_ptr[171];
	AT1_PRC_yint = par_ptr[172];
	concentration_to_renin_activity_conversion_plasma = par_ptr[173];
	renin_half_life = par_ptr[174];
	nominal_equilibrium_PRC = par_ptr[175];
	HCTZ_effect_on_renin_secretion = par_ptr[176];
	renin_hyperactivity = par_ptr[177];
	AngI_half_life = par_ptr[178];
	AngII_half_life = par_ptr[179];
	AT1_bound_AngII_half_life = par_ptr[180];
	AT2_bound_AngII_half_life = par_ptr[181];
	nominal_ACE_activity = par_ptr[182];
	nominal_chymase_activity = par_ptr[183];
	nominal_AT1_receptor_binding_rate = par_ptr[184];
	nominal_AT2_receptor_binding_rate = par_ptr[185];
	C_water_intake_ecf_volume = par_ptr[186];
	C_urine_flow_ecf_volume = par_ptr[187];
	Q_water = par_ptr[188];
	C_na_excretion_na_amount = par_ptr[189];
	C_na_intake_na_amount = par_ptr[190];
	Q_Na = par_ptr[191];
	C_tgf = par_ptr[192];
	C_aldo_secretion = par_ptr[193];
	C_cardiac_output_delayed = par_ptr[194];
	C_co_error = par_ptr[195];
	C_Na_error = par_ptr[196];
	C_vasopressin_delay = par_ptr[197];
	C_tgf_reset = par_ptr[198];
	C_P_bowmans = par_ptr[199];
	C_P_oncotic = par_ptr[200];
	C_rbf = par_ptr[201];
	C_rihp = par_ptr[202];
	C_md_flow = par_ptr[203];
	C_rsna = par_ptr[204];
	C_rsna2 = par_ptr[205];
	CD_PN_loss_rate = par_ptr[206];
	C_pt_water = par_ptr[207];
	creatinine_synthesis_rate = par_ptr[208];
	C_sglt2_delay = par_ptr[209];
	SGLT2_inhibition = par_ptr[210];
	C_ruge = par_ptr[211];

	AngI = __zzStateVar__[0];
	AngII = __zzStateVar__[1];
	AT1_bound_AngII = __zzStateVar__[2];
	AT2_bound_AngII = __zzStateVar__[3];
	plasma_renin_concentration = __zzStateVar__[4];
	blood_volume_L = __zzStateVar__[5];
	extracellular_fluid_volume = __zzStateVar__[6];
	sodium_amount = __zzStateVar__[7];
	ECF_sodium_amount = __zzStateVar__[8];
	stored_sodium = __zzStateVar__[9];
	tubulo_glomerular_feedback_effect = __zzStateVar__[10];
	normalized_aldosterone_level = __zzStateVar__[11];
	preafferent_pressure_autoreg_signal = __zzStateVar__[12];
	glomerular_pressure_autoreg_signal = __zzStateVar__[13];
	F_out_dt_delay = __zzStateVar__[14];
	cardiac_output_delayed = __zzStateVar__[15];
	CO_error = __zzStateVar__[16];
	Na_concentration_error = __zzStateVar__[17];
	normalized_vasopressin_concentration_delayed = __zzStateVar__[18];
	F0_TGF = __zzStateVar__[19];
	P_bowmans = __zzStateVar__[20];
	oncotic_pressure_difference = __zzStateVar__[21];
	renal_blood_flow_L_min_delayed = __zzStateVar__[22];
	renal_interstitial_hydrostatic_pressure = __zzStateVar__[23];
	SN_macula_densa_Na_flow_delayed = __zzStateVar__[24];
	rsna_delayed = __zzStateVar__[25];
	rsna_delayed2 = __zzStateVar__[26];
	disease_effects_increasing_Kf = __zzStateVar__[27];
	disease_effects_decreasing_CD_PN = __zzStateVar__[28];
	tubular_length_increase = __zzStateVar__[29];
	tubular_diameter_increase = __zzStateVar__[30];
	water_out_s1_delayed = __zzStateVar__[31];
	water_out_s2_delayed = __zzStateVar__[32];
	water_out_s3_delayed = __zzStateVar__[33];
	reabsorbed_urea_cd_delayed = __zzStateVar__[34];
	UGE = __zzStateVar__[35];
	serum_creatinine = __zzStateVar__[36];
	cumNaExcretion = __zzStateVar__[37];
	cumWaterExcretion = __zzStateVar__[38];
	cumCreatinineExcretion = __zzStateVar__[39];
	RTg_compensation = __zzStateVar__[40];
	SGLT2_inhibition_delayed = __zzStateVar__[41];
	RUGE_delayed = __zzStateVar__[42];

	number_of_functional_glomeruli = baseline_nephrons *( 1 - 0.3 * disease_effects_decreasing_Kf);
	number_of_functional_tubules = baseline_nephrons *( 1 - disease_effect_on_nephrons);
	tissue_autoregulation_signal = max( 0.1, 1 + tissue_autoreg_scale *(( Kp_CO / CO_scale_species) *( cardiac_output_delayed - CO_nom) +( Ki_CO / CO_scale_species) * CO_error));
	AT1_svr_int = 1 - AT1_svr_slope * nominal_equilibrium_AT1_bound_AngII;
	AT1_bound_AngII_effect_on_SVR = AT1_svr_int + AT1_svr_slope * AT1_bound_AngII;
	rsna_svr_int = 1 - rsna_svr_slope;
	rsna_effect_on_svr = rsna_svr_int + rsna_svr_slope * rsna_delayed;
	systemic_arterial_resistance = nom_systemic_arterial_resistance * tissue_autoregulation_signal * AT1_bound_AngII_effect_on_SVR * rsna_effect_on_svr;
	resistance_to_venous_return =(( 8 * R_venous + systemic_arterial_resistance) / 31.0);
	mean_filling_pressure = nom_mean_filling_pressure +( blood_volume_L / BV_scale_species - blood_volume_nom) / venous_compliance;
	venous_return =(( mean_filling_pressure) / resistance_to_venous_return);
	cardiac_output = venous_return;
	total_peripheral_resistance = systemic_arterial_resistance + R_venous;
	mean_arterial_pressure_MAP =( cardiac_output * total_peripheral_resistance);
	right_atrial_pressure =( nom_right_atrial_pressure * exp( blood_volume_L - 5 * BV_scale_species));
	MAP_effect_on_rsna = 0.5 + 1.0 /( 1 + exp(( mean_arterial_pressure_MAP - nominal_map_setpoint) / map_rsna_slope));
	R_atrial_pressure_effect_on_rsna_int = 1 + rap_rsna_slope * nom_right_atrial_pressure;
	R_atrial_pressure_effect_on_rsna = R_atrial_pressure_effect_on_rsna_int - rap_rsna_slope * right_atrial_pressure;
	renal_sympathetic_nerve_activity = nom_rsna * MAP_effect_on_rsna * R_atrial_pressure_effect_on_rsna * BB_effect_on_RSNA;
	rap_anp_intercept = 1 + rap_anp_slope / 2.0;
	normalized_atrial_NP_concentration = nom_ANP *(( rap_anp_intercept - rap_anp_slope /( 1 + exp( right_atrial_pressure - nom_right_atrial_pressure))));
	aldosterone_concentration = normalized_aldosterone_level * nominal_aldosterone_concentration;
	Aldo_MR_normalised_effect = normalized_aldosterone_level * MR_antagonist_effect_on_aldo_MR;
	AT1_preaff_int = 1 - AT1_preaff_scale / 2.0;
	AT1_effect_on_preaff = AT1_preaff_int + AT1_preaff_scale /( 1 + exp( -( AT1_bound_AngII - nominal_equilibrium_AT1_bound_AngII) / AT1_preaff_slope));
	AT1_aff_int = 1 - AT1_aff_scale / 2.0;
	AT1_effect_on_aff = AT1_aff_int + AT1_aff_scale /( 1 + exp( -( AT1_bound_AngII - nominal_equilibrium_AT1_bound_AngII) / AT1_aff_slope));
	AT1_eff_int = 1 - AT1_eff_scale / 2.0;
	AT1_effect_on_eff = AT1_eff_int + AT1_eff_scale /( 1 + exp( -( AT1_bound_AngII - nominal_equilibrium_AT1_bound_AngII) / AT1_eff_slope));
	rsna_preaff_int = 1 - rsna_preaff_scale / 2.0;
	rsna_effect_on_preaff = rsna_preaff_int + rsna_preaff_scale /( 1 + exp( -( renal_sympathetic_nerve_activity - nom_rsna) / rsna_preaff_slope));
	ANP_preaff_int = 1 + ANP_preaff_scale / 2.0;
	ANP_effect_on_preaff = ANP_preaff_int - ANP_preaff_scale /( 1 + exp( -( normalized_atrial_NP_concentration - nom_ANP) / ANP_preaff_slope));
	ANP_aff_int = 1 + ANP_aff_scale / 2.0;
	ANP_effect_on_aff = ANP_aff_int - ANP_aff_scale /( 1 + exp( -( normalized_atrial_NP_concentration - nom_ANP) / ANP_aff_slope));
	ANP_eff_int = 1 + ANP_eff_scale / 2.0;
	ANP_effect_on_eff = ANP_eff_int - ANP_eff_scale /( 1 + exp( -( normalized_atrial_NP_concentration - nom_ANP) / ANP_eff_slope));
	preaff_arteriole_signal_multiplier = AT1_effect_on_preaff * rsna_effect_on_preaff * ANP_effect_on_preaff *( preafferent_pressure_autoreg_signal) * CCB_effect_on_preafferent_resistance;
	preaff_arteriole_adjusted_signal_multiplier =( 1 /( 1 + exp( preaff_signal_nonlin_scale *( 1 - preaff_arteriole_signal_multiplier))) + 0.5);
	preafferent_arteriole_resistance = nom_preafferent_arteriole_resistance * preaff_arteriole_adjusted_signal_multiplier;
	nom_afferent_arteriole_resistance = L_m3 * viscosity_length_constant /( pow( nom_afferent_diameter, 4));
	afferent_arteriole_signal_multiplier = tubulo_glomerular_feedback_effect * AT1_effect_on_aff * ANP_effect_on_aff * glomerular_pressure_autoreg_signal * CCB_effect_on_afferent_resistance;
	afferent_arteriole_adjusted_signal_multiplier =( 1 /( 1 + exp( afferent_signal_nonlin_scale *( 1 - afferent_arteriole_signal_multiplier))) + 0.5);
	afferent_arteriole_resistance = nom_afferent_arteriole_resistance * afferent_arteriole_adjusted_signal_multiplier;
	nom_efferent_arteriole_resistance = L_m3 * viscosity_length_constant /( pow( nom_efferent_diameter, 4));
	efferent_arteriole_signal_multiplier = AT1_effect_on_eff * ANP_effect_on_eff * CCB_effect_on_efferent_resistance;
	efferent_arteriole_adjusted_signal_multiplier = 1 /( 1 + exp( efferent_signal_nonlin_scale *( 1 - efferent_arteriole_signal_multiplier))) + 0.5;
	efferent_arteriole_resistance = nom_efferent_arteriole_resistance * efferent_arteriole_adjusted_signal_multiplier;
	RBF_autoreg_int = 1 - RBF_autoreg_scale / 2.0;
	peritubular_autoreg_signal = RBF_autoreg_int + RBF_autoreg_scale /( 1 + exp(( nom_renal_blood_flow_L_min - renal_blood_flow_L_min_delayed) / RBF_autoreg_steepness));
	autoregulated_peritubular_resistance = peritubular_autoreg_signal * nom_peritubular_resistance;
	renal_vascular_resistance =( preafferent_arteriole_resistance +( afferent_arteriole_resistance + efferent_arteriole_resistance) / number_of_functional_glomeruli + autoregulated_peritubular_resistance);
	renal_blood_flow_L_min =(( mean_arterial_pressure_MAP - P_venous) / renal_vascular_resistance);
	renal_blood_flow_ml_hr = renal_blood_flow_L_min * 1000 * 60;
	preafferent_pressure = mean_arterial_pressure_MAP - renal_blood_flow_L_min * preafferent_arteriole_resistance;
	glomerular_pressure =( mean_arterial_pressure_MAP - renal_blood_flow_L_min *( preafferent_arteriole_resistance + afferent_arteriole_resistance / number_of_functional_glomeruli));
	postglomerular_pressure =( mean_arterial_pressure_MAP - renal_blood_flow_L_min *( preafferent_arteriole_resistance +( afferent_arteriole_resistance + efferent_arteriole_resistance) / number_of_functional_glomeruli));
	preaff_autoreg_int = 1 - preaff_autoreg_scale / 2.0;
	preafferent_pressure_autoreg_function = preaff_autoreg_int + preaff_autoreg_scale /( 1 + exp(( nom_preafferent_pressure - preafferent_pressure) / myogenic_steepness));
	gp_autoreg_int = 1 - gp_autoreg_scale / 2.0;
	glomerular_pressure_autoreg_function = gp_autoreg_int + gp_autoreg_scale /( 1 + exp(( nom_glomerular_pressure - glomerular_pressure) / myogenic_steepness));
	GP_effect_increasing_Kf =( maximal_glom_surface_area_increase - disease_effects_increasing_Kf) * max( glomerular_pressure /( nom_glomerular_pressure + 2) - 1, 0) / T_glomerular_pressure_increases_Kf;
	temp = glomerular_pressure /( nom_glomerular_pressure + 2);
	glomerular_hydrostatic_conductance_Kf = nom_Kf *( 1 + disease_effects_increasing_Kf) *( 1 - disease_effects_decreasing_Kf);
	net_filtration_pressure = glomerular_pressure - oncotic_pressure_difference - P_bowmans;
	SNGFR_nL_min = glomerular_hydrostatic_conductance_Kf *( glomerular_pressure - oncotic_pressure_difference - P_bowmans);
	GFR =( SNGFR_nL_min / 1000.0 / 1000000.0 * number_of_functional_tubules);
	GFR_ml_min = GFR * 1000;
	serum_creatinine_concentration = serum_creatinine / blood_volume_L;
	creatinine_clearance_rate = GFR_ml_min * dl_ml * serum_creatinine_concentration;
	GPdiff = max( 0, glomerular_pressure -( nom_GP_seiving_damage));
	GP_effect_on_Seiving = Emax_seiving * pow( GPdiff, Gamma_seiving) /( pow( GPdiff, Gamma_seiving) + pow( Km_seiving, Gamma_seiving));
	nom_glomerular_albumin_sieving_coefficient = seiving_inf /( 1 -( 1 - seiving_inf) * exp( - c_albumin * SNGFR_nL_min));
	glomerular_albumin_sieving_coefficient = nom_glomerular_albumin_sieving_coefficient *( 1 + GP_effect_on_Seiving);
	SN_albumin_filtration_rate = plasma_albumin_concentration * SNGFR_nL_min * 1e-6 * glomerular_albumin_sieving_coefficient;
	SN_albumin_excretion_rate = max( 0, SN_albumin_filtration_rate - SN_albumin_reabsorptive_capacity) + nom_albumin_excretion_rate;
	albumin_excretion_rate = SN_albumin_excretion_rate * number_of_functional_tubules;
	Oncotic_pressure_in = 1.629 * plasma_protein_concentration + 0.2935 *( pow( plasma_protein_concentration, 2));
	SNRBF_nl_min = 1e6 * 1000 * renal_blood_flow_L_min / number_of_functional_glomeruli;
	plasma_protein_concentration_out =( SNRBF_nl_min * plasma_protein_concentration - SN_albumin_filtration_rate) /( SNRBF_nl_min - SNGFR_nL_min);
	Oncotic_pressure_out = 1.629 * plasma_protein_concentration_out + 0.2935 *( pow( plasma_protein_concentration_out, 2));
	oncotic_pressure_avg =( Oncotic_pressure_in + Oncotic_pressure_out) / 2.0;
	Na_concentration = sodium_amount / blood_volume_L;
	ECF_Na_concentration = ECF_sodium_amount / extracellular_fluid_volume;
	sodium_storate_rate = Q_Na_store *(( max_stored_sodium - stored_sodium) / max_stored_sodium) *( ECF_Na_concentration - ref_Na_concentration);
	Na_water_controller = Na_controller_gain *( Kp_VP *( Na_concentration - ref_Na_concentration) + Ki_VP * Na_concentration_error);
	normalized_vasopressin_concentration = 1 + Na_water_controller;
	vasopressin_concentration = nominal_vasopressin_conc * normalized_vasopressin_concentration;
	water_intake_vasopressin_int = 1 - water_intake_vasopressin_scale / 2.0;
	water_intake = water_intake_species_scale *( nom_water_intake / 60.0 / 24.0) *( water_intake_vasopressin_int + water_intake_vasopressin_scale /( 1 + exp(( normalized_vasopressin_concentration_delayed - 1) / water_intake_vasopressin_slope)));
	daily_water_intake =( water_intake * 24.0 * 60.0);
	L_pt_s1 = L_pt_s1_nom *( 1 + tubular_length_increase);
	L_pt_s2 = L_pt_s2_nom *( 1 + tubular_length_increase);
	L_pt_s3 = L_pt_s3_nom *( 1 + tubular_length_increase);
	Dc_pt = Dc_pt_nom *( 1 + tubular_diameter_increase);
	L_pt = L_pt_s1 + L_pt_s2 + L_pt_s3;
	SN_filtered_Na_load =( SNGFR_nL_min / 1000 / 1000000) * Na_concentration;
	filtered_Na_load = SN_filtered_Na_load * number_of_functional_tubules;
	pressure_natriuresis_PT_int = 1 - pressure_natriuresis_PT_scale / 2;
	pressure_natriuresis_PT_effect = max( 0.001, pressure_natriuresis_PT_int + pressure_natriuresis_PT_scale /( 1 + exp(( postglomerular_pressure - RIHP0) / pressure_natriuresis_PT_slope)));
	pressure_natriuresis_LoH_int = 1 - pressure_natriuresis_LoH_scale / 2;
	pressure_natriuresis_LoH_effect = max( 0.001, pressure_natriuresis_LoH_int + pressure_natriuresis_LoH_scale /( 1 + exp(( postglomerular_pressure - RIHP0) / pressure_natriuresis_LoH_slope)));
	pressure_natriuresis_DCT_magnitude = max( 0, pressure_natriuresis_DCT_scale);
	pressure_natriuresis_DCT_int = 1 - pressure_natriuresis_DCT_magnitude / 2;
	pressure_natriuresis_DCT_effect = max( 0.001, pressure_natriuresis_DCT_int + pressure_natriuresis_DCT_magnitude /( 1 + exp(( postglomerular_pressure - RIHP0) / pressure_natriuresis_DCT_slope)));
	pressure_natriuresis_CD_magnitude = max( 0, pressure_natriuresis_CD_scale *( 1 + disease_effects_decreasing_CD_PN));
	pressure_natriuresis_CD_int = 1 - pressure_natriuresis_CD_magnitude / 2;
	pressure_natriuresis_CD_effect = max( 0.001, pressure_natriuresis_CD_int + pressure_natriuresis_CD_magnitude /( 1 + exp(( postglomerular_pressure - RIHP0) / pressure_natriuresis_CD_slope)));
	AT1_PT_int = 1 - AT1_PT_scale / 2;
	AT1_effect_on_PT = AT1_PT_int + AT1_PT_scale /( 1 + exp( -( AT1_bound_AngII - nominal_equilibrium_AT1_bound_AngII) / AT1_PT_slope));
	rsna_PT_int = 1 - rsna_PT_scale / 2;
	rsna_effect_on_PT = rsna_PT_int + rsna_PT_scale /( 1 + exp(( 1 - rsna_delayed2) / rsna_PT_slope));
	rsna_CD_int = 1 - rsna_CD_scale / 2;
	rsna_effect_on_CD = rsna_CD_int + rsna_CD_scale /( 1 + exp(( 1 - renal_sympathetic_nerve_activity) / rsna_CD_slope));
	aldo_DCT_int = 1 - aldo_DCT_scale / 2;
	aldo_effect_on_DCT = aldo_DCT_int + aldo_DCT_scale /( 1 + exp(( 1 - Aldo_MR_normalised_effect) / aldo_DCT_slope));
	aldo_CD_int = 1 - aldo_CD_scale / 2;
	aldo_effect_on_CD = aldo_CD_int + aldo_CD_scale /( 1 + exp(( 1 - Aldo_MR_normalised_effect) / aldo_CD_slope));
	anp_CD_int = 1 - anp_CD_scale / 2;
	anp_effect_on_CD = anp_CD_int + anp_CD_scale /( 1 + exp(( 1 - normalized_atrial_NP_concentration) / anp_CD_slope));
	NHE3inhib = Anhe3 * RUGE_delayed;
	pt_multiplier = AT1_effect_on_PT * rsna_effect_on_PT * pressure_natriuresis_PT_effect *( 1 - NHE3inhib);
	e_pt_sodreab = min( 1, nominal_pt_na_reabsorption * pt_multiplier);
	e_dct_sodreab = min( 1, nominal_dt_na_reabsorption * aldo_effect_on_DCT * pressure_natriuresis_DCT_effect * HCTZ_effect_on_DT_Na_reabs);
	cd_multiplier = anp_effect_on_CD * aldo_effect_on_CD * rsna_effect_on_CD * pressure_natriuresis_CD_effect;
	cd_scale = max_cd_reabs_rate / nominal_cd_na_reabsorption - 1;
	e_cd_sodreab = min( 1, nominal_cd_na_reabsorption * cd_multiplier);
	glucose_reabs_per_unit_length_s1 = nom_glucose_reabs_per_unit_length_s1 * diabetic_adaptation * SGLT2_inhibition_delayed *( 1 + RTg_compensation);
	glucose_reabs_per_unit_length_s2 = nom_glucose_reabs_per_unit_length_s2 * diabetic_adaptation * SGLT2_inhibition_delayed *( 1 + RTg_compensation);
	glucose_reabs_per_unit_length_s3 = nom_glucose_reabs_per_unit_length_s3 * diabetic_adaptation *( 1 + RTg_compensation) * SGLT1_inhibition;
	SN_filtered_glucose_load = glucose_concentration * SNGFR_nL_min / 1000 / 1000000;
	glucose_pt_out_s1 = max( 0, SN_filtered_glucose_load - glucose_reabs_per_unit_length_s1 * L_pt_s1);
	glucose_pt_out_s2 = max( 0, glucose_pt_out_s1 - glucose_reabs_per_unit_length_s2 * L_pt_s2);
	glucose_pt_out_s3 = max( 0, glucose_pt_out_s2 - glucose_reabs_per_unit_length_s3 * L_pt_s3);
	RUGE = glucose_pt_out_s3 * number_of_functional_tubules * 180;
	excess_glucose_increasing_RTg =( maximal_RTg_increase - RTg_compensation) * max( RUGE, 0) / T_glucose_RTg;
	osmotic_natriuresis_effect_pt = 1 - min( 1, RUGE * glucose_natriuresis_effect_pt);
	osmotic_natriuresis_effect_cd = 1 - min( 1, RUGE * glucose_natriuresis_effect_cd);
	osmotic_diuresis_effect_pt = 1 - min( 1, RUGE * glucose_diuresis_effect_pt);
	osmotic_diuresis_effect_cd = 1 - min( 1, RUGE * glucose_diuresis_effect_cd);
	SN_filtered_Na_load =( SNGFR_nL_min / 1000 / 1000000) * Na_concentration;
	SGTL2_Na_reabs_mmol_s1 = SN_filtered_glucose_load - glucose_pt_out_s1;
	SGTL2_Na_reabs_mmol_s2 = glucose_pt_out_s1 - glucose_pt_out_s2;
	SGTL1_Na_reabs_mmol = 2 *( glucose_pt_out_s2 - glucose_pt_out_s3);
	total_SGLT2_Na_reabs = SGTL2_Na_reabs_mmol_s1 + SGTL2_Na_reabs_mmol_s2 + SGTL1_Na_reabs_mmol;
	e_pt_sodreab_adj = e_pt_sodreab * osmotic_natriuresis_effect_pt - 0.039;
	Na_reabs_per_unit_length = - log( 1 - e_pt_sodreab) /( L_pt_s1 + L_pt_s2 + L_pt_s3);
	Na_pt_s1_reabs = min( max_s1_Na_reabs, SN_filtered_Na_load *( 1 - exp( - Na_reabs_per_unit_length * L_pt_s1)));
	Na_pt_out_s1 = SN_filtered_Na_load - Na_pt_s1_reabs - SGTL2_Na_reabs_mmol_s1;
	Na_pt_s2_reabs = min( max_s2_Na_reabs, Na_pt_out_s1 *( 1 - exp( - Na_reabs_per_unit_length * L_pt_s2)));
	Na_pt_out_s2 = Na_pt_out_s1 - Na_pt_s2_reabs - SGTL2_Na_reabs_mmol_s2;
	Na_pt_s3_reabs = min( max_s3_Na_reabs, Na_pt_out_s2 *( 1 - exp( - Na_reabs_per_unit_length * L_pt_s3)));
	Na_pt_out_s3 = Na_pt_out_s2 - Na_pt_s3_reabs - SGTL1_Na_reabs_mmol;
	PT_Na_reabs_fraction = 1 - Na_pt_out_s3 / SN_filtered_Na_load;
	SN_filtered_urea_load =( SNGFR_nL_min / 1000 / 1000000) * plasma_urea;
	urea_out_s1 = SN_filtered_urea_load - urea_permeability_PT *( SN_filtered_urea_load /( 0.5 *(( SNGFR_nL_min / 1000 / 1000000) + water_out_s1_delayed)) - plasma_urea) * water_out_s1_delayed;
	urea_out_s2 = urea_out_s1 - urea_permeability_PT *( urea_out_s1 /( 0.5 *( water_out_s1_delayed + water_out_s2_delayed)) - plasma_urea) * water_out_s2_delayed;
	urea_out_s3 = urea_out_s2 - urea_permeability_PT *( urea_out_s2 /( 0.5 *( water_out_s2_delayed + water_out_s3_delayed)) - plasma_urea) * water_out_s3_delayed;
	urea_reabsorption_fraction = 1 - urea_out_s3 / SN_filtered_urea_load;
	osmoles_out_s1 = 2 * Na_pt_out_s1 + glucose_pt_out_s1 + urea_out_s1;
	water_out_s1 =((( SNGFR_nL_min / 1000 / 1000000) /( 2 * SN_filtered_Na_load + SN_filtered_glucose_load + SN_filtered_urea_load))) * osmoles_out_s1;
	osmoles_out_s2 = 2 * Na_pt_out_s2 + glucose_pt_out_s2 + urea_out_s2;
	water_out_s2 =( water_out_s1 / osmoles_out_s1) * osmoles_out_s2;
	osmoles_out_s3 = 2 * Na_pt_out_s3 + glucose_pt_out_s3 + urea_out_s3;
	water_out_s3 =( water_out_s2 / osmoles_out_s2) * osmoles_out_s3;
	PT_water_reabs_fraction = 1 - water_out_s3 /( SNGFR_nL_min / 1000 / 1000000);
	Na_concentration_out_s1 = Na_pt_out_s1 / water_out_s1;
	Na_concentration_out_s2 = Na_pt_out_s2 / water_out_s2;
	Na_concentration_out_s3 = Na_pt_out_s3 / water_out_s3;
	glucose_concentration_out_s1 = glucose_pt_out_s1 / water_out_s1;
	glucose_concentration_out_s2 = glucose_pt_out_s2 / water_out_s2;
	glucose_concentration_out_s3 = glucose_pt_out_s3 / water_out_s3;
	urea_concentration_out_s1 = urea_out_s1 / water_out_s1;
	urea_concentration_out_s2 = urea_out_s2 / water_out_s2;
	urea_concentration_out_s3 = urea_out_s3 / water_out_s3;
	osmolality_out_s1 = osmoles_out_s1 / water_out_s1;
	osmolality_out_s2 = osmoles_out_s2 / water_out_s2;
	osmolality_out_s3 = osmoles_out_s3 / water_out_s3;
	PT_Na_outflow = Na_pt_out_s3 * number_of_functional_tubules;
	PT_Na_reab_perUnitSA = SN_filtered_Na_load * e_pt_sodreab /( 3.14 * Dc_pt *( L_pt_s1 + L_pt_s2 + L_pt_s3));
	normalized_PT_reabsorption_density = PT_Na_reab_perUnitSA / PT_Na_reab_perUnitSA_0;
	PT_Na_reabs_effect_increasing_tubular_length = 0;
	PT_Na_reabs_effect_increasing_tubular_diameter = 0;
	water_in_DescLoH = water_out_s3;
	Na_in_DescLoH = Na_pt_out_s3;
	urea_in_DescLoH = urea_out_s3;
	glucose_in_DescLoH = glucose_pt_out_s3;
	osmoles_in_DescLoH = osmoles_out_s3;
	Na_concentration_in_DescLoH = Na_concentration_out_s3;
	Urea_concentration_in_DescLoH = urea_concentration_out_s3;
	glucose_concentration_in_DescLoH = glucose_concentration_out_s3;
	osmolality_in_DescLoH = osmoles_out_s3 / water_out_s3;
	Na_out_DescLoH = Na_in_DescLoH;
	urea_out_DescLoH = urea_in_DescLoH;
	glucose_out_DescLoH = glucose_in_DescLoH;
	osmoles_out_DescLoH = osmoles_in_DescLoH;
	deltaLoH_NaFlow = min( max_deltaLoH_reabs, LoH_flow_dependence *( Na_out_DescLoH - nom_Na_in_AscLoH));
	AscLoH_Reab_Rate =( 2 * nominal_loh_na_reabsorption *( nom_Na_in_AscLoH + deltaLoH_NaFlow) * loop_diuretic_effect) / L_lh_des;
	effective_AscLoH_Reab_Rate = AscLoH_Reab_Rate * pressure_natriuresis_LoH_effect;
	osmolality_out_DescLoH = osmolality_in_DescLoH * exp( min( effective_AscLoH_Reab_Rate * L_lh_des, 2 * Na_in_DescLoH) /( water_in_DescLoH * osmolality_in_DescLoH));
	water_out_DescLoH = water_in_DescLoH * osmolality_in_DescLoH / osmolality_out_DescLoH;
	Na_concentration_out_DescLoH = Na_out_DescLoH / water_out_DescLoH;
	glucose_concentration_out_DescLoH = glucose_out_DescLoH / water_out_DescLoH;
	urea_concentration_out_DescLoH = urea_out_DescLoH / water_out_DescLoH;
	Na_in_AscLoH = Na_out_DescLoH;
	urea_in_AscLoH_before_secretion = urea_out_DescLoH;
	glucose_in_AscLoH = glucose_out_DescLoH;
	osmoles_in_AscLoH_before_secretion = osmoles_out_DescLoH;
	water_in_AscLoH = water_out_DescLoH;
	urea_in_AscLoH = urea_in_AscLoH_before_secretion + reabsorbed_urea_cd_delayed;
	urea_concentration_in_AscLoH = urea_in_AscLoH / water_out_DescLoH;
	osmoles_in_AscLoH = osmoles_in_AscLoH_before_secretion + reabsorbed_urea_cd_delayed;
	osmolality_in_AscLoH = osmoles_in_AscLoH / water_in_AscLoH;
	osmolality_out_AscLoH = osmolality_in_AscLoH - min( L_lh_des * effective_AscLoH_Reab_Rate, 2 * Na_in_DescLoH) *( exp( min( L_lh_des * effective_AscLoH_Reab_Rate, 2 * Na_in_DescLoH) /( water_in_DescLoH * osmolality_in_DescLoH)) / water_in_DescLoH);
	osmoles_reabsorbed_AscLoH =( osmolality_in_AscLoH - osmolality_out_AscLoH) * water_in_AscLoH;
	Na_reabsorbed_AscLoH = osmoles_reabsorbed_AscLoH / 2;
	Na_out_AscLoH = max( 0, Na_in_AscLoH - Na_reabsorbed_AscLoH);
	urea_out_AscLoH = urea_in_AscLoH;
	glucose_out_AscLoH = glucose_in_AscLoH;
	water_out_AscLoH = water_in_AscLoH;
	osmoles_out_AscLoH = osmolality_out_AscLoH * water_out_AscLoH;
	Na_concentration_out_AscLoH = Na_out_AscLoH / water_out_AscLoH;
	glucose_concentration_out_AscLoH = glucose_out_AscLoH / water_out_AscLoH;
	urea_concentration_out_AscLoH = urea_out_AscLoH / water_out_AscLoH;
	LoH_reabs_fraction = 1 - Na_out_AscLoH / Na_in_AscLoH;
	SN_macula_densa_Na_flow = Na_out_AscLoH;
	MD_Na_concentration = Na_concentration_out_AscLoH;
	TGF0_tubulo_glomerular_feedback = 1 - S_tubulo_glomerular_feedback / 2;
	tubulo_glomerular_feedback_signal =( TGF0_tubulo_glomerular_feedback + S_tubulo_glomerular_feedback /( 1 + exp(( MD_Na_concentration_setpoint - MD_Na_concentration) / F_md_scale_tubulo_glomerular_feedback)));
	water_in_DCT = water_out_AscLoH;
	Na_in_DCT = Na_out_AscLoH;
	urea_in_DCT = urea_out_AscLoH;
	glucose_in_DCT = glucose_out_AscLoH;
	osmoles_in_DCT = osmoles_out_AscLoH;
	Na_concentration_in_DCT = Na_concentration_out_AscLoH;
	urea_concentration_in_DCT = urea_concentration_out_AscLoH;
	glucose_concentration_in_DCT = glucose_concentration_out_AscLoH;
	osmolality_in_DCT = osmolality_out_AscLoH;
	urea_out_DCT = urea_in_DCT;
	glucose_out_DCT = glucose_in_DCT;
	water_out_DCT = water_in_DCT;
	urea_concentration_out_DCT = urea_out_DCT / water_out_DCT;
	glucose_concentration_out_DCT = glucose_out_DCT / water_out_DCT;
	R_dct = - log( 1 - e_dct_sodreab) / L_dct;
	Na_out_DCT = Na_in_DCT * exp( - R_dct * L_dct);
	Na_concentration_out_DCT = Na_out_DCT / water_out_DCT;
	osmolality_out_DCT = 2 * Na_concentration_out_DCT + glucose_concentration_out_DescLoH + urea_concentration_in_AscLoH;
	osmoles_out_DCT = osmolality_out_DCT * water_out_DCT;
	DCT_Na_reabs_fraction = 1 - Na_out_DCT / Na_in_DCT;
	water_in_CD = water_out_DCT;
	Na_in_CD = Na_out_DCT;
	urea_in_CD = urea_out_DCT;
	glucose_in_CD = glucose_out_DCT;
	osmoles_in_CD = osmoles_out_DCT;
	osmolality_in_CD = osmoles_in_CD / water_in_CD;
	Na_concentration_in_CD = Na_concentration_out_DCT;
	urea_concentration_in_CD = urea_concentration_out_DCT;
	glucose_concentration_in_CD = glucose_concentration_out_DCT;
	osmotic_diuresis_effect_cd = 1 - min( 1, RUGE * glucose_diuresis_effect_cd);
	e_cd_sodreab_adj = e_cd_sodreab * osmotic_natriuresis_effect_cd;
	R_cd = - log( 1 - e_cd_sodreab_adj) / L_cd;
	Na_reabsorbed_CD = min( Na_in_CD *( 1 - exp( - R_cd * L_cd)), CD_Na_reabs_threshold);
	Na_out_CD = Na_in_CD - Na_reabsorbed_CD;
	CD_Na_reabs_fraction = 1 - Na_out_CD / Na_in_CD;
	ADH_water_permeability_old = min( 1, max( 0, nom_ADH_water_permeability * normalized_vasopressin_concentration));
	ADH_water_permeability = normalized_vasopressin_concentration /( 0.15 + normalized_vasopressin_concentration);
	osmoles_out_CD = osmoles_in_CD - 2 *( Na_in_CD - Na_out_CD);
	osmolality_out_CD_before_osmotic_reabsorption = osmoles_out_CD / water_in_CD;
	water_reabsorbed_CD = ADH_water_permeability * osmotic_diuresis_effect_cd * water_in_CD *( 1 - osmolality_out_CD_before_osmotic_reabsorption / osmolality_out_DescLoH);
	water_out_CD = water_in_CD - water_reabsorbed_CD;
	osmolality_out_CD_after_osmotic_reabsorption = osmoles_out_CD / water_out_CD;
	glucose_concentration_after_urea_reabsorption = glucose_in_CD / water_out_CD;
	urine_flow_rate = water_out_CD * number_of_functional_tubules;
	daily_urine_flow =( urine_flow_rate * 60 * 24);
	Na_excretion_via_urine = Na_out_CD * number_of_functional_tubules;
	Na_balance = Na_intake_rate - Na_excretion_via_urine;
	water_balance = daily_water_intake - daily_urine_flow;
	FENA = Na_excretion_via_urine / filtered_Na_load;
	PT_fractional_glucose_reabs =( SN_filtered_glucose_load - glucose_pt_out_s3) / SN_filtered_glucose_load;
	PT_fractional_Na_reabs =( SN_filtered_Na_load - Na_pt_out_s3) / SN_filtered_Na_load;
	PT_fractional_urea_reabs =( SN_filtered_urea_load - urea_out_s3) / SN_filtered_urea_load;
	PT_fractional_water_reabs =(( SNGFR_nL_min / 1000 / 1000000) - water_out_s3) /( SNGFR_nL_min / 1000 / 1000000);
	LoH_fractional_Na_reabs =( Na_in_DescLoH - Na_out_AscLoH) / Na_in_DescLoH;
	LoH_fractional_urea_reabs =( urea_in_DescLoH - urea_out_AscLoH) / urea_in_DescLoH;
	LoH_fractional_water_reabs =( water_in_DescLoH - water_out_AscLoH) / water_in_DescLoH;
	DCT_fractional_Na_reabs =( Na_in_DCT - Na_out_DCT) / Na_in_DCT;
	CD_fractional_Na_reabs =( Na_in_CD - Na_out_CD) / Na_in_CD;
	CD_OM_fractional_water_reabs =( water_in_CD - water_out_CD) / water_in_CD;
	Oncotic_pressure_peritubular_in = Oncotic_pressure_out;
	plasma_protein_concentration_peritubular_out =( SNRBF_nl_min) * plasma_protein_concentration /( SNRBF_nl_min - urine_flow_rate * 1e6 * 1000 / number_of_functional_glomeruli);
	Oncotic_pressure_peritubular_out = 1.629 * plasma_protein_concentration_peritubular_out + 0.2935 *( pow( plasma_protein_concentration_peritubular_out, 2.0));
	oncotic_pressure_peritubular_avg =( Oncotic_pressure_peritubular_in + Oncotic_pressure_peritubular_out) / 2.0;
	tubular_reabsorption = GFR_ml_min / 1000 - urine_flow_rate;
	RIHP = postglomerular_pressure -( oncotic_pressure_peritubular_avg - interstitial_oncotic_pressure) + tubular_reabsorption / nom_peritubular_cap_Kf;
	mmHg_Nperm2_conv = 133.32;
	Pc_pt_s1 = Pc_pt_s1_mmHg * mmHg_Nperm2_conv;
	Pc_pt_s2 = Pc_pt_s2_mmHg * mmHg_Nperm2_conv;
	Pc_pt_s3 = Pc_pt_s3_mmHg * mmHg_Nperm2_conv;
	Pc_lh_des = Pc_lh_des_mmHg * mmHg_Nperm2_conv;
	Pc_lh_asc = Pc_lh_asc_mmHg * mmHg_Nperm2_conv;
	Pc_dt = Pc_dt_mmHg * mmHg_Nperm2_conv;
	Pc_cd = Pc_cd_mmHg * mmHg_Nperm2_conv;
	P_interstitial = 4.9 * mmHg_Nperm2_conv;
	pi = 3.14;
	B1 =( 4 * tubular_compliance + 1) * 128 * gamma / pi;
	mean_cd_water_flow =( water_in_CD - water_out_CD) / 2;
	B2_cd =( pow( Pc_cd,( 4 * tubular_compliance))) /( pow( Dc_cd, 4));
	P_in_cd = pow(( pow( 0,( 4 * tubular_compliance + 1)) + B1 * B2_cd *( mean_cd_water_flow / 1e3) * L_cd),( 1 /( 4 * tubular_compliance + 1)));
	P_in_cd_mmHg =( P_in_cd + P_interstitial) / mmHg_Nperm2_conv;
	B2_dt =( pow( Pc_dt,( 4 * tubular_compliance))) /( pow( Dc_dt, 4));
	P_in_dt = pow(( pow( P_in_cd,( 4 * tubular_compliance + 1)) + B1 * B2_dt *( water_in_DCT / 1e3) * L_dct),( 1 /( 4 * tubular_compliance + 1)));
	P_in_dt_mmHg =( P_in_dt + P_interstitial) / mmHg_Nperm2_conv;
	B2_lh_asc =( pow( Pc_lh_asc,( 4 * tubular_compliance))) /( pow( Dc_lh, 4));
	P_in_lh_asc = pow(( pow( P_in_dt,( 4 * tubular_compliance + 1)) + B1 * B2_lh_asc *( water_in_AscLoH / 1e3) * L_lh_asc),( 1 /( 4 * tubular_compliance + 1)));
	P_in_lh_asc_mmHg =( P_in_lh_asc + P_interstitial) / mmHg_Nperm2_conv;
	A_lh_des = effective_AscLoH_Reab_Rate /( water_in_DescLoH * osmolality_in_DescLoH);
	B2_lh_des =( pow( Pc_lh_des,( 4 * tubular_compliance))) *( water_in_DescLoH / 1e3) /(( pow( Dc_lh, 4)) * A_lh_des);
	P_in_lh_des = pow(( pow( P_in_lh_asc,( 4 * tubular_compliance + 1)) + B1 * B2_lh_des *( 1 - exp( - A_lh_des * L_lh_des))),( 1 /( 4 * tubular_compliance + 1)));
	P_in_lh_des_mmHg =( P_in_lh_des + P_interstitial) / mmHg_Nperm2_conv;
	Rurea =( SN_filtered_urea_load - urea_out_s3) /( L_pt_s1 + L_pt_s2 + L_pt_s3);
	urea_in_s2 = SN_filtered_urea_load - Rurea * L_pt_s1;
	urea_in_s3 = SN_filtered_urea_load - Rurea *( L_pt_s1 + L_pt_s2);
	A_na = Na_reabs_per_unit_length;
	flow_integral_s3 = 2 *( Na_pt_out_s2 / A_na) *( 1 - exp( - A_na * L_pt_s3)) -( 3 / 2) * glucose_pt_out_s2 * pow( L_pt_s3, 2) + urea_in_s3 * L_pt_s3 -( 1 / 2) * Rurea *( pow( L_pt_s3, 2));
	flow_integral_s2 = 2 *( Na_pt_out_s1 / A_na) *( 1 - exp( - A_na * L_pt_s2)) -( 1 / 2) * glucose_pt_out_s1 * pow( L_pt_s2, 2) + urea_in_s2 * L_pt_s2 -( 1 / 2) * Rurea *( pow( L_pt_s2, 2));
	flow_integral_s1 = 2 *( SN_filtered_Na_load / A_na) *( 1 - exp( - A_na * L_pt_s1)) -( 1 / 2) * SN_filtered_glucose_load * pow( L_pt_s1, 2) + SN_filtered_urea_load * L_pt_s1 -( 1 / 2) * Rurea *( pow( L_pt_s1, 2));
	B2_pt_s3 =( pow( Pc_pt_s3,( 4 * tubular_compliance))) /( pow( Dc_pt, 4));
	B3_pt_s3 =( water_out_s2 / 1e3) / osmoles_out_s2;
	P_in_pt_s3 = pow(( pow( P_in_lh_des,( 4 * tubular_compliance + 1)) + B1 * B2_pt_s3 * B3_pt_s3 * flow_integral_s3),( 1 /( 4 * tubular_compliance + 1)));
	P_in_pt_s3_mmHg =( P_in_pt_s3 + P_interstitial) / mmHg_Nperm2_conv;
	B2_pt_s2 =( pow( Pc_pt_s3,( 4 * tubular_compliance))) /( pow( Dc_pt, 4));
	B3_pt_s2 =( water_out_s1 / 1e3) / osmoles_out_s1;
	P_in_pt_s2 = pow(( pow( P_in_pt_s3,( 4 * tubular_compliance + 1)) + B1 * B2_pt_s2 * B3_pt_s2 * flow_integral_s2),( 1 /( 4 * tubular_compliance + 1)));
	P_in_pt_s2_mmHg =( P_in_pt_s2 + P_interstitial) / mmHg_Nperm2_conv;
	B2_pt_s1 =( pow( Pc_pt_s1,( 4 * tubular_compliance))) /( pow( Dc_pt, 4));
	B3_pt_s1 =( SNGFR_nL_min / 1e12) /( 2 * SN_filtered_Na_load + SN_filtered_glucose_load + SN_filtered_urea_load);
	P_in_pt_s1 = pow(( pow( P_in_pt_s2,( 4 * tubular_compliance + 1)) + B1 * B2_pt_s1 * B3_pt_s1 * flow_integral_s1),( 1 /( 4 * tubular_compliance + 1)));
	P_in_pt_s1_mmHg =( P_in_pt_s1 + P_interstitial) / mmHg_Nperm2_conv;
	AT1_aldo_int = 1 - AT1_aldo_slope * nominal_equilibrium_AT1_bound_AngII;
	AngII_effect_on_aldo = AT1_aldo_int + AT1_aldo_slope * AT1_bound_AngII;
	N_als =( K_Na_ratio_effect_on_aldo * AngII_effect_on_aldo);
	ACEI_effect_on_ACE_activity = 1;
	ARB_effect_on_AT1_binding = 1;
	DRI_effect_on_PRA = 1;
	rsna_renin_intercept = 1 - rsna_renin_slope;
	rnsa_effect_on_renin_secretion = rsna_renin_slope * renal_sympathetic_nerve_activity + rsna_renin_intercept;
	md_effect_on_renin_secretion = md_renin_A * exp( - md_renin_tau *( SN_macula_densa_Na_flow_delayed * baseline_nephrons - nom_LoH_Na_outflow));
	AT1_bound_AngII_effect_on_PRA =( pow( 10,( AT1_PRC_slope * log10( AT1_bound_AngII / nominal_equilibrium_AT1_bound_AngII) + AT1_PRC_yint)));
	plasma_renin_activity = concentration_to_renin_activity_conversion_plasma * plasma_renin_concentration * DRI_effect_on_PRA;
	renin_secretion_rate =( log( 2) / renin_half_life) * nominal_equilibrium_PRC * AT1_bound_AngII_effect_on_PRA * md_effect_on_renin_secretion * rnsa_effect_on_renin_secretion * HCTZ_effect_on_renin_secretion * renin_hyperactivity;
	renin_degradation_rate = log( 2) / renin_half_life;
	AngI_degradation_rate = log( 2) / AngI_half_life;
	AngII_degradation_rate = log( 2) / AngII_half_life;
	AT1_bound_AngII_degradation_rate = log( 2) / AT1_bound_AngII_half_life;
	AT2_bound_AngII_degradation_rate = log( 2) / AT2_bound_AngII_half_life;
	ACE_activity = nominal_ACE_activity * ACEI_effect_on_ACE_activity;
	chymase_activity = nominal_chymase_activity;
	AT1_receptor_binding_rate = nominal_AT1_receptor_binding_rate * ARB_effect_on_AT1_binding;
	AT2_receptor_binding_rate = nominal_AT2_receptor_binding_rate;
	__DDtStateVar__[0] = InfusionRate[0] + plasma_renin_activity -( AngI) *( chymase_activity + ACE_activity) -( AngI) * AngI_degradation_rate;
	__DDtStateVar__[1] = InfusionRate[1] + AngI *( chymase_activity + ACE_activity) - AngII * AngII_degradation_rate - AngII * AT1_receptor_binding_rate - AngII *( AT2_receptor_binding_rate);
	__DDtStateVar__[2] = InfusionRate[2] + AngII *( AT1_receptor_binding_rate) - AT1_bound_AngII_degradation_rate * AT1_bound_AngII;
	__DDtStateVar__[3] = InfusionRate[3] + AngII *( AT2_receptor_binding_rate) - AT2_bound_AngII_degradation_rate * AT2_bound_AngII;
	__DDtStateVar__[4] = InfusionRate[4] + renin_secretion_rate - plasma_renin_concentration * renin_degradation_rate;
	__DDtStateVar__[5] = InfusionRate[5] + C_water_intake_ecf_volume *( water_intake) + C_urine_flow_ecf_volume *( urine_flow_rate) + Q_water *( Na_concentration - ECF_Na_concentration);
	__DDtStateVar__[6] = InfusionRate[6] + Q_water *( ECF_Na_concentration - Na_concentration);
	__DDtStateVar__[7] = InfusionRate[7] + C_na_excretion_na_amount *( Na_excretion_via_urine) + C_na_intake_na_amount *( Na_intake_rate) + Q_Na *( ECF_Na_concentration - Na_concentration);
	__DDtStateVar__[8] = InfusionRate[8] + Q_Na *( Na_concentration - ECF_Na_concentration) - sodium_storate_rate;
	__DDtStateVar__[9] = InfusionRate[9] + sodium_storate_rate;
	__DDtStateVar__[10] = InfusionRate[10] + C_tgf *( tubulo_glomerular_feedback_signal - tubulo_glomerular_feedback_effect);
	__DDtStateVar__[11] = InfusionRate[11] + C_aldo_secretion *( N_als - normalized_aldosterone_level);
	__DDtStateVar__[12] = InfusionRate[12] + 500 *( preafferent_pressure_autoreg_function - preafferent_pressure_autoreg_signal);
	__DDtStateVar__[13] = InfusionRate[13] + 500 *( glomerular_pressure_autoreg_function - glomerular_pressure_autoreg_signal);
	__DDtStateVar__[14] = InfusionRate[14] + 0;
	__DDtStateVar__[15] = InfusionRate[15] + C_cardiac_output_delayed *( cardiac_output - cardiac_output_delayed);
	__DDtStateVar__[16] = InfusionRate[16] + C_co_error *( cardiac_output - CO_nom);
	__DDtStateVar__[17] = InfusionRate[17] + C_Na_error *( Na_concentration - ref_Na_concentration);
	__DDtStateVar__[18] = InfusionRate[18] + C_vasopressin_delay *( normalized_vasopressin_concentration - normalized_vasopressin_concentration_delayed);
	__DDtStateVar__[19] = InfusionRate[19] + C_tgf_reset *( SN_macula_densa_Na_flow * baseline_nephrons - F0_TGF);
	__DDtStateVar__[20] = InfusionRate[20] + C_P_bowmans *( P_in_pt_s1_mmHg - P_bowmans);
	__DDtStateVar__[21] = InfusionRate[21] + C_P_oncotic *( oncotic_pressure_avg - oncotic_pressure_difference);
	__DDtStateVar__[22] = InfusionRate[22] + C_rbf *( renal_blood_flow_L_min - renal_blood_flow_L_min_delayed);
	__DDtStateVar__[23] = InfusionRate[23] + C_rihp *( RIHP - renal_interstitial_hydrostatic_pressure);
	__DDtStateVar__[24] = InfusionRate[24] + C_md_flow *( SN_macula_densa_Na_flow - SN_macula_densa_Na_flow_delayed);
	__DDtStateVar__[25] = InfusionRate[25] + C_rsna *( renal_sympathetic_nerve_activity - rsna_delayed);
	__DDtStateVar__[26] = InfusionRate[26] + C_rsna2 *( renal_sympathetic_nerve_activity - rsna_delayed2);
	__DDtStateVar__[27] = InfusionRate[27] + GP_effect_increasing_Kf;
	__DDtStateVar__[28] = InfusionRate[28] + CD_PN_loss_rate;
	__DDtStateVar__[29] = InfusionRate[29] + PT_Na_reabs_effect_increasing_tubular_length;
	__DDtStateVar__[30] = InfusionRate[30] + PT_Na_reabs_effect_increasing_tubular_diameter;
	__DDtStateVar__[31] = InfusionRate[31] + C_pt_water *( water_out_s1 - water_out_s1_delayed);
	__DDtStateVar__[32] = InfusionRate[32] + C_pt_water *( water_out_s2 - water_out_s2_delayed);
	__DDtStateVar__[33] = InfusionRate[33] + C_pt_water *( water_out_s3 - water_out_s3_delayed);
	__DDtStateVar__[34] = InfusionRate[34] + 0;
	__DDtStateVar__[35] = InfusionRate[35] + RUGE;
	__DDtStateVar__[36] = InfusionRate[36] + creatinine_synthesis_rate - creatinine_clearance_rate;
	__DDtStateVar__[37] = InfusionRate[37] + Na_excretion_via_urine;
	__DDtStateVar__[38] = InfusionRate[38] + urine_flow_rate;
	__DDtStateVar__[39] = InfusionRate[39] + creatinine_clearance_rate;
	__DDtStateVar__[40] = InfusionRate[40] + excess_glucose_increasing_RTg;
	__DDtStateVar__[41] = InfusionRate[41] + C_sglt2_delay *( SGLT2_inhibition - SGLT2_inhibition_delayed);
	__DDtStateVar__[42] = InfusionRate[42] + C_ruge *( RUGE - RUGE_delayed);
    dadt_counter++;
}

// prj-specific derived vars
void RxODE_mod_model1_calc_lhs(double t, double *__zzStateVar__, double *lhs) {
double
	number_of_functional_glomeruli,
	baseline_nephrons,
	disease_effects_decreasing_Kf,
	number_of_functional_tubules,
	disease_effect_on_nephrons,
	tissue_autoregulation_signal,
	tissue_autoreg_scale,
	Kp_CO,
	CO_scale_species,
	cardiac_output_delayed,
	CO_nom,
	Ki_CO,
	CO_error,
	AT1_svr_int,
	AT1_svr_slope,
	nominal_equilibrium_AT1_bound_AngII,
	AT1_bound_AngII_effect_on_SVR,
	AT1_bound_AngII,
	rsna_svr_int,
	rsna_svr_slope,
	rsna_effect_on_svr,
	rsna_delayed,
	systemic_arterial_resistance,
	nom_systemic_arterial_resistance,
	resistance_to_venous_return,
	R_venous,
	mean_filling_pressure,
	nom_mean_filling_pressure,
	blood_volume_L,
	BV_scale_species,
	blood_volume_nom,
	venous_compliance,
	venous_return,
	cardiac_output,
	total_peripheral_resistance,
	mean_arterial_pressure_MAP,
	right_atrial_pressure,
	nom_right_atrial_pressure,
	MAP_effect_on_rsna,
	nominal_map_setpoint,
	map_rsna_slope,
	R_atrial_pressure_effect_on_rsna_int,
	rap_rsna_slope,
	R_atrial_pressure_effect_on_rsna,
	renal_sympathetic_nerve_activity,
	nom_rsna,
	BB_effect_on_RSNA,
	rap_anp_intercept,
	rap_anp_slope,
	normalized_atrial_NP_concentration,
	nom_ANP,
	aldosterone_concentration,
	normalized_aldosterone_level,
	nominal_aldosterone_concentration,
	Aldo_MR_normalised_effect,
	MR_antagonist_effect_on_aldo_MR,
	AT1_preaff_int,
	AT1_preaff_scale,
	AT1_effect_on_preaff,
	AT1_preaff_slope,
	AT1_aff_int,
	AT1_aff_scale,
	AT1_effect_on_aff,
	AT1_aff_slope,
	AT1_eff_int,
	AT1_eff_scale,
	AT1_effect_on_eff,
	AT1_eff_slope,
	rsna_preaff_int,
	rsna_preaff_scale,
	rsna_effect_on_preaff,
	rsna_preaff_slope,
	ANP_preaff_int,
	ANP_preaff_scale,
	ANP_effect_on_preaff,
	ANP_preaff_slope,
	ANP_aff_int,
	ANP_aff_scale,
	ANP_effect_on_aff,
	ANP_aff_slope,
	ANP_eff_int,
	ANP_eff_scale,
	ANP_effect_on_eff,
	ANP_eff_slope,
	preaff_arteriole_signal_multiplier,
	preafferent_pressure_autoreg_signal,
	CCB_effect_on_preafferent_resistance,
	preaff_arteriole_adjusted_signal_multiplier,
	preaff_signal_nonlin_scale,
	preafferent_arteriole_resistance,
	nom_preafferent_arteriole_resistance,
	nom_afferent_arteriole_resistance,
	L_m3,
	viscosity_length_constant,
	nom_afferent_diameter,
	afferent_arteriole_signal_multiplier,
	tubulo_glomerular_feedback_effect,
	glomerular_pressure_autoreg_signal,
	CCB_effect_on_afferent_resistance,
	afferent_arteriole_adjusted_signal_multiplier,
	afferent_signal_nonlin_scale,
	afferent_arteriole_resistance,
	nom_efferent_arteriole_resistance,
	nom_efferent_diameter,
	efferent_arteriole_signal_multiplier,
	CCB_effect_on_efferent_resistance,
	efferent_arteriole_adjusted_signal_multiplier,
	efferent_signal_nonlin_scale,
	efferent_arteriole_resistance,
	RBF_autoreg_int,
	RBF_autoreg_scale,
	peritubular_autoreg_signal,
	nom_renal_blood_flow_L_min,
	renal_blood_flow_L_min_delayed,
	RBF_autoreg_steepness,
	autoregulated_peritubular_resistance,
	nom_peritubular_resistance,
	renal_vascular_resistance,
	renal_blood_flow_L_min,
	P_venous,
	renal_blood_flow_ml_hr,
	preafferent_pressure,
	glomerular_pressure,
	postglomerular_pressure,
	preaff_autoreg_int,
	preaff_autoreg_scale,
	preafferent_pressure_autoreg_function,
	nom_preafferent_pressure,
	myogenic_steepness,
	gp_autoreg_int,
	gp_autoreg_scale,
	glomerular_pressure_autoreg_function,
	nom_glomerular_pressure,
	GP_effect_increasing_Kf,
	maximal_glom_surface_area_increase,
	disease_effects_increasing_Kf,
	T_glomerular_pressure_increases_Kf,
	temp,
	glomerular_hydrostatic_conductance_Kf,
	nom_Kf,
	net_filtration_pressure,
	oncotic_pressure_difference,
	P_bowmans,
	SNGFR_nL_min,
	GFR,
	GFR_ml_min,
	serum_creatinine_concentration,
	serum_creatinine,
	creatinine_clearance_rate,
	dl_ml,
	GPdiff,
	nom_GP_seiving_damage,
	GP_effect_on_Seiving,
	Emax_seiving,
	Gamma_seiving,
	Km_seiving,
	nom_glomerular_albumin_sieving_coefficient,
	seiving_inf,
	c_albumin,
	glomerular_albumin_sieving_coefficient,
	SN_albumin_filtration_rate,
	plasma_albumin_concentration,
	SN_albumin_excretion_rate,
	SN_albumin_reabsorptive_capacity,
	nom_albumin_excretion_rate,
	albumin_excretion_rate,
	Oncotic_pressure_in,
	plasma_protein_concentration,
	SNRBF_nl_min,
	plasma_protein_concentration_out,
	Oncotic_pressure_out,
	oncotic_pressure_avg,
	Na_concentration,
	sodium_amount,
	ECF_Na_concentration,
	ECF_sodium_amount,
	extracellular_fluid_volume,
	sodium_storate_rate,
	Q_Na_store,
	max_stored_sodium,
	stored_sodium,
	ref_Na_concentration,
	Na_water_controller,
	Na_controller_gain,
	Kp_VP,
	Ki_VP,
	Na_concentration_error,
	normalized_vasopressin_concentration,
	vasopressin_concentration,
	nominal_vasopressin_conc,
	water_intake_vasopressin_int,
	water_intake_vasopressin_scale,
	water_intake,
	water_intake_species_scale,
	nom_water_intake,
	normalized_vasopressin_concentration_delayed,
	water_intake_vasopressin_slope,
	daily_water_intake,
	L_pt_s1,
	L_pt_s1_nom,
	tubular_length_increase,
	L_pt_s2,
	L_pt_s2_nom,
	L_pt_s3,
	L_pt_s3_nom,
	Dc_pt,
	Dc_pt_nom,
	tubular_diameter_increase,
	L_pt,
	SN_filtered_Na_load,
	filtered_Na_load,
	pressure_natriuresis_PT_int,
	pressure_natriuresis_PT_scale,
	pressure_natriuresis_PT_effect,
	RIHP0,
	pressure_natriuresis_PT_slope,
	pressure_natriuresis_LoH_int,
	pressure_natriuresis_LoH_scale,
	pressure_natriuresis_LoH_effect,
	pressure_natriuresis_LoH_slope,
	pressure_natriuresis_DCT_magnitude,
	pressure_natriuresis_DCT_scale,
	pressure_natriuresis_DCT_int,
	pressure_natriuresis_DCT_effect,
	pressure_natriuresis_DCT_slope,
	pressure_natriuresis_CD_magnitude,
	pressure_natriuresis_CD_scale,
	disease_effects_decreasing_CD_PN,
	pressure_natriuresis_CD_int,
	pressure_natriuresis_CD_effect,
	pressure_natriuresis_CD_slope,
	AT1_PT_int,
	AT1_PT_scale,
	AT1_effect_on_PT,
	AT1_PT_slope,
	rsna_PT_int,
	rsna_PT_scale,
	rsna_effect_on_PT,
	rsna_delayed2,
	rsna_PT_slope,
	rsna_CD_int,
	rsna_CD_scale,
	rsna_effect_on_CD,
	rsna_CD_slope,
	aldo_DCT_int,
	aldo_DCT_scale,
	aldo_effect_on_DCT,
	aldo_DCT_slope,
	aldo_CD_int,
	aldo_CD_scale,
	aldo_effect_on_CD,
	aldo_CD_slope,
	anp_CD_int,
	anp_CD_scale,
	anp_effect_on_CD,
	anp_CD_slope,
	NHE3inhib,
	Anhe3,
	RUGE_delayed,
	pt_multiplier,
	e_pt_sodreab,
	nominal_pt_na_reabsorption,
	e_dct_sodreab,
	nominal_dt_na_reabsorption,
	HCTZ_effect_on_DT_Na_reabs,
	cd_multiplier,
	cd_scale,
	max_cd_reabs_rate,
	nominal_cd_na_reabsorption,
	e_cd_sodreab,
	glucose_reabs_per_unit_length_s1,
	nom_glucose_reabs_per_unit_length_s1,
	diabetic_adaptation,
	SGLT2_inhibition_delayed,
	RTg_compensation,
	glucose_reabs_per_unit_length_s2,
	nom_glucose_reabs_per_unit_length_s2,
	glucose_reabs_per_unit_length_s3,
	nom_glucose_reabs_per_unit_length_s3,
	SGLT1_inhibition,
	SN_filtered_glucose_load,
	glucose_concentration,
	glucose_pt_out_s1,
	glucose_pt_out_s2,
	glucose_pt_out_s3,
	RUGE,
	excess_glucose_increasing_RTg,
	maximal_RTg_increase,
	T_glucose_RTg,
	osmotic_natriuresis_effect_pt,
	glucose_natriuresis_effect_pt,
	osmotic_natriuresis_effect_cd,
	glucose_natriuresis_effect_cd,
	osmotic_diuresis_effect_pt,
	glucose_diuresis_effect_pt,
	osmotic_diuresis_effect_cd,
	glucose_diuresis_effect_cd,
	SGTL2_Na_reabs_mmol_s1,
	SGTL2_Na_reabs_mmol_s2,
	SGTL1_Na_reabs_mmol,
	total_SGLT2_Na_reabs,
	e_pt_sodreab_adj,
	Na_reabs_per_unit_length,
	Na_pt_s1_reabs,
	max_s1_Na_reabs,
	Na_pt_out_s1,
	Na_pt_s2_reabs,
	max_s2_Na_reabs,
	Na_pt_out_s2,
	Na_pt_s3_reabs,
	max_s3_Na_reabs,
	Na_pt_out_s3,
	PT_Na_reabs_fraction,
	SN_filtered_urea_load,
	plasma_urea,
	urea_out_s1,
	urea_permeability_PT,
	water_out_s1_delayed,
	urea_out_s2,
	water_out_s2_delayed,
	urea_out_s3,
	water_out_s3_delayed,
	urea_reabsorption_fraction,
	osmoles_out_s1,
	water_out_s1,
	osmoles_out_s2,
	water_out_s2,
	osmoles_out_s3,
	water_out_s3,
	PT_water_reabs_fraction,
	Na_concentration_out_s1,
	Na_concentration_out_s2,
	Na_concentration_out_s3,
	glucose_concentration_out_s1,
	glucose_concentration_out_s2,
	glucose_concentration_out_s3,
	urea_concentration_out_s1,
	urea_concentration_out_s2,
	urea_concentration_out_s3,
	osmolality_out_s1,
	osmolality_out_s2,
	osmolality_out_s3,
	PT_Na_outflow,
	PT_Na_reab_perUnitSA,
	normalized_PT_reabsorption_density,
	PT_Na_reab_perUnitSA_0,
	PT_Na_reabs_effect_increasing_tubular_length,
	PT_Na_reabs_effect_increasing_tubular_diameter,
	water_in_DescLoH,
	Na_in_DescLoH,
	urea_in_DescLoH,
	glucose_in_DescLoH,
	osmoles_in_DescLoH,
	Na_concentration_in_DescLoH,
	Urea_concentration_in_DescLoH,
	glucose_concentration_in_DescLoH,
	osmolality_in_DescLoH,
	Na_out_DescLoH,
	urea_out_DescLoH,
	glucose_out_DescLoH,
	osmoles_out_DescLoH,
	deltaLoH_NaFlow,
	max_deltaLoH_reabs,
	LoH_flow_dependence,
	nom_Na_in_AscLoH,
	AscLoH_Reab_Rate,
	nominal_loh_na_reabsorption,
	loop_diuretic_effect,
	L_lh_des,
	effective_AscLoH_Reab_Rate,
	osmolality_out_DescLoH,
	water_out_DescLoH,
	Na_concentration_out_DescLoH,
	glucose_concentration_out_DescLoH,
	urea_concentration_out_DescLoH,
	Na_in_AscLoH,
	urea_in_AscLoH_before_secretion,
	glucose_in_AscLoH,
	osmoles_in_AscLoH_before_secretion,
	water_in_AscLoH,
	urea_in_AscLoH,
	reabsorbed_urea_cd_delayed,
	urea_concentration_in_AscLoH,
	osmoles_in_AscLoH,
	osmolality_in_AscLoH,
	osmolality_out_AscLoH,
	osmoles_reabsorbed_AscLoH,
	Na_reabsorbed_AscLoH,
	Na_out_AscLoH,
	urea_out_AscLoH,
	glucose_out_AscLoH,
	water_out_AscLoH,
	osmoles_out_AscLoH,
	Na_concentration_out_AscLoH,
	glucose_concentration_out_AscLoH,
	urea_concentration_out_AscLoH,
	LoH_reabs_fraction,
	SN_macula_densa_Na_flow,
	MD_Na_concentration,
	TGF0_tubulo_glomerular_feedback,
	S_tubulo_glomerular_feedback,
	tubulo_glomerular_feedback_signal,
	MD_Na_concentration_setpoint,
	F_md_scale_tubulo_glomerular_feedback,
	water_in_DCT,
	Na_in_DCT,
	urea_in_DCT,
	glucose_in_DCT,
	osmoles_in_DCT,
	Na_concentration_in_DCT,
	urea_concentration_in_DCT,
	glucose_concentration_in_DCT,
	osmolality_in_DCT,
	urea_out_DCT,
	glucose_out_DCT,
	water_out_DCT,
	urea_concentration_out_DCT,
	glucose_concentration_out_DCT,
	R_dct,
	L_dct,
	Na_out_DCT,
	Na_concentration_out_DCT,
	osmolality_out_DCT,
	osmoles_out_DCT,
	DCT_Na_reabs_fraction,
	water_in_CD,
	Na_in_CD,
	urea_in_CD,
	glucose_in_CD,
	osmoles_in_CD,
	osmolality_in_CD,
	Na_concentration_in_CD,
	urea_concentration_in_CD,
	glucose_concentration_in_CD,
	e_cd_sodreab_adj,
	R_cd,
	L_cd,
	Na_reabsorbed_CD,
	CD_Na_reabs_threshold,
	Na_out_CD,
	CD_Na_reabs_fraction,
	ADH_water_permeability_old,
	nom_ADH_water_permeability,
	ADH_water_permeability,
	osmoles_out_CD,
	osmolality_out_CD_before_osmotic_reabsorption,
	water_reabsorbed_CD,
	water_out_CD,
	osmolality_out_CD_after_osmotic_reabsorption,
	glucose_concentration_after_urea_reabsorption,
	urine_flow_rate,
	daily_urine_flow,
	Na_excretion_via_urine,
	Na_balance,
	Na_intake_rate,
	water_balance,
	FENA,
	PT_fractional_glucose_reabs,
	PT_fractional_Na_reabs,
	PT_fractional_urea_reabs,
	PT_fractional_water_reabs,
	LoH_fractional_Na_reabs,
	LoH_fractional_urea_reabs,
	LoH_fractional_water_reabs,
	DCT_fractional_Na_reabs,
	CD_fractional_Na_reabs,
	CD_OM_fractional_water_reabs,
	Oncotic_pressure_peritubular_in,
	plasma_protein_concentration_peritubular_out,
	Oncotic_pressure_peritubular_out,
	oncotic_pressure_peritubular_avg,
	tubular_reabsorption,
	RIHP,
	interstitial_oncotic_pressure,
	nom_peritubular_cap_Kf,
	mmHg_Nperm2_conv,
	Pc_pt_s1,
	Pc_pt_s1_mmHg,
	Pc_pt_s2,
	Pc_pt_s2_mmHg,
	Pc_pt_s3,
	Pc_pt_s3_mmHg,
	Pc_lh_des,
	Pc_lh_des_mmHg,
	Pc_lh_asc,
	Pc_lh_asc_mmHg,
	Pc_dt,
	Pc_dt_mmHg,
	Pc_cd,
	Pc_cd_mmHg,
	P_interstitial,
	pi,
	B1,
	tubular_compliance,
	gamma,
	mean_cd_water_flow,
	B2_cd,
	Dc_cd,
	P_in_cd,
	P_in_cd_mmHg,
	B2_dt,
	Dc_dt,
	P_in_dt,
	P_in_dt_mmHg,
	B2_lh_asc,
	Dc_lh,
	P_in_lh_asc,
	L_lh_asc,
	P_in_lh_asc_mmHg,
	A_lh_des,
	B2_lh_des,
	P_in_lh_des,
	P_in_lh_des_mmHg,
	Rurea,
	urea_in_s2,
	urea_in_s3,
	A_na,
	flow_integral_s3,
	flow_integral_s2,
	flow_integral_s1,
	B2_pt_s3,
	B3_pt_s3,
	P_in_pt_s3,
	P_in_pt_s3_mmHg,
	B2_pt_s2,
	B3_pt_s2,
	P_in_pt_s2,
	P_in_pt_s2_mmHg,
	B2_pt_s1,
	B3_pt_s1,
	P_in_pt_s1,
	P_in_pt_s1_mmHg,
	AT1_aldo_int,
	AT1_aldo_slope,
	AngII_effect_on_aldo,
	N_als,
	K_Na_ratio_effect_on_aldo,
	ACEI_effect_on_ACE_activity,
	ARB_effect_on_AT1_binding,
	DRI_effect_on_PRA,
	rsna_renin_intercept,
	rsna_renin_slope,
	rnsa_effect_on_renin_secretion,
	md_effect_on_renin_secretion,
	md_renin_A,
	md_renin_tau,
	SN_macula_densa_Na_flow_delayed,
	nom_LoH_Na_outflow,
	AT1_bound_AngII_effect_on_PRA,
	AT1_PRC_slope,
	AT1_PRC_yint,
	plasma_renin_activity,
	concentration_to_renin_activity_conversion_plasma,
	plasma_renin_concentration,
	renin_secretion_rate,
	renin_half_life,
	nominal_equilibrium_PRC,
	HCTZ_effect_on_renin_secretion,
	renin_hyperactivity,
	renin_degradation_rate,
	AngI_degradation_rate,
	AngI_half_life,
	AngII_degradation_rate,
	AngII_half_life,
	AT1_bound_AngII_degradation_rate,
	AT1_bound_AngII_half_life,
	AT2_bound_AngII_degradation_rate,
	AT2_bound_AngII_half_life,
	ACE_activity,
	nominal_ACE_activity,
	chymase_activity,
	nominal_chymase_activity,
	AT1_receptor_binding_rate,
	nominal_AT1_receptor_binding_rate,
	AT2_receptor_binding_rate,
	nominal_AT2_receptor_binding_rate,
	AngI,
	AngII,
	AT2_bound_AngII,
	C_water_intake_ecf_volume,
	C_urine_flow_ecf_volume,
	Q_water,
	C_na_excretion_na_amount,
	C_na_intake_na_amount,
	Q_Na,
	C_tgf,
	C_aldo_secretion,
	F_out_dt_delay,
	C_cardiac_output_delayed,
	C_co_error,
	C_Na_error,
	C_vasopressin_delay,
	F0_TGF,
	C_tgf_reset,
	C_P_bowmans,
	C_P_oncotic,
	C_rbf,
	renal_interstitial_hydrostatic_pressure,
	C_rihp,
	C_md_flow,
	C_rsna,
	C_rsna2,
	CD_PN_loss_rate,
	C_pt_water,
	UGE,
	creatinine_synthesis_rate,
	cumNaExcretion,
	cumWaterExcretion,
	cumCreatinineExcretion,
	C_sglt2_delay,
	SGLT2_inhibition,
	C_ruge;

	baseline_nephrons = par_ptr[0];
	disease_effects_decreasing_Kf = par_ptr[1];
	disease_effect_on_nephrons = par_ptr[2];
	tissue_autoreg_scale = par_ptr[3];
	Kp_CO = par_ptr[4];
	CO_scale_species = par_ptr[5];
	CO_nom = par_ptr[6];
	Ki_CO = par_ptr[7];
	AT1_svr_slope = par_ptr[8];
	nominal_equilibrium_AT1_bound_AngII = par_ptr[9];
	rsna_svr_slope = par_ptr[10];
	nom_systemic_arterial_resistance = par_ptr[11];
	R_venous = par_ptr[12];
	nom_mean_filling_pressure = par_ptr[13];
	BV_scale_species = par_ptr[14];
	blood_volume_nom = par_ptr[15];
	venous_compliance = par_ptr[16];
	nom_right_atrial_pressure = par_ptr[17];
	nominal_map_setpoint = par_ptr[18];
	map_rsna_slope = par_ptr[19];
	rap_rsna_slope = par_ptr[20];
	nom_rsna = par_ptr[21];
	BB_effect_on_RSNA = par_ptr[22];
	rap_anp_slope = par_ptr[23];
	nom_ANP = par_ptr[24];
	nominal_aldosterone_concentration = par_ptr[25];
	MR_antagonist_effect_on_aldo_MR = par_ptr[26];
	AT1_preaff_scale = par_ptr[27];
	AT1_preaff_slope = par_ptr[28];
	AT1_aff_scale = par_ptr[29];
	AT1_aff_slope = par_ptr[30];
	AT1_eff_scale = par_ptr[31];
	AT1_eff_slope = par_ptr[32];
	rsna_preaff_scale = par_ptr[33];
	rsna_preaff_slope = par_ptr[34];
	ANP_preaff_scale = par_ptr[35];
	ANP_preaff_slope = par_ptr[36];
	ANP_aff_scale = par_ptr[37];
	ANP_aff_slope = par_ptr[38];
	ANP_eff_scale = par_ptr[39];
	ANP_eff_slope = par_ptr[40];
	CCB_effect_on_preafferent_resistance = par_ptr[41];
	preaff_signal_nonlin_scale = par_ptr[42];
	nom_preafferent_arteriole_resistance = par_ptr[43];
	L_m3 = par_ptr[44];
	viscosity_length_constant = par_ptr[45];
	nom_afferent_diameter = par_ptr[46];
	CCB_effect_on_afferent_resistance = par_ptr[47];
	afferent_signal_nonlin_scale = par_ptr[48];
	nom_efferent_diameter = par_ptr[49];
	CCB_effect_on_efferent_resistance = par_ptr[50];
	efferent_signal_nonlin_scale = par_ptr[51];
	RBF_autoreg_scale = par_ptr[52];
	nom_renal_blood_flow_L_min = par_ptr[53];
	RBF_autoreg_steepness = par_ptr[54];
	nom_peritubular_resistance = par_ptr[55];
	P_venous = par_ptr[56];
	preaff_autoreg_scale = par_ptr[57];
	nom_preafferent_pressure = par_ptr[58];
	myogenic_steepness = par_ptr[59];
	gp_autoreg_scale = par_ptr[60];
	nom_glomerular_pressure = par_ptr[61];
	maximal_glom_surface_area_increase = par_ptr[62];
	T_glomerular_pressure_increases_Kf = par_ptr[63];
	nom_Kf = par_ptr[64];
	dl_ml = par_ptr[65];
	nom_GP_seiving_damage = par_ptr[66];
	Emax_seiving = par_ptr[67];
	Gamma_seiving = par_ptr[68];
	Km_seiving = par_ptr[69];
	seiving_inf = par_ptr[70];
	c_albumin = par_ptr[71];
	plasma_albumin_concentration = par_ptr[72];
	SN_albumin_reabsorptive_capacity = par_ptr[73];
	nom_albumin_excretion_rate = par_ptr[74];
	plasma_protein_concentration = par_ptr[75];
	Q_Na_store = par_ptr[76];
	max_stored_sodium = par_ptr[77];
	ref_Na_concentration = par_ptr[78];
	Na_controller_gain = par_ptr[79];
	Kp_VP = par_ptr[80];
	Ki_VP = par_ptr[81];
	nominal_vasopressin_conc = par_ptr[82];
	water_intake_vasopressin_scale = par_ptr[83];
	water_intake_species_scale = par_ptr[84];
	nom_water_intake = par_ptr[85];
	water_intake_vasopressin_slope = par_ptr[86];
	L_pt_s1_nom = par_ptr[87];
	L_pt_s2_nom = par_ptr[88];
	L_pt_s3_nom = par_ptr[89];
	Dc_pt_nom = par_ptr[90];
	pressure_natriuresis_PT_scale = par_ptr[91];
	RIHP0 = par_ptr[92];
	pressure_natriuresis_PT_slope = par_ptr[93];
	pressure_natriuresis_LoH_scale = par_ptr[94];
	pressure_natriuresis_LoH_slope = par_ptr[95];
	pressure_natriuresis_DCT_scale = par_ptr[96];
	pressure_natriuresis_DCT_slope = par_ptr[97];
	pressure_natriuresis_CD_scale = par_ptr[98];
	pressure_natriuresis_CD_slope = par_ptr[99];
	AT1_PT_scale = par_ptr[100];
	AT1_PT_slope = par_ptr[101];
	rsna_PT_scale = par_ptr[102];
	rsna_PT_slope = par_ptr[103];
	rsna_CD_scale = par_ptr[104];
	rsna_CD_slope = par_ptr[105];
	aldo_DCT_scale = par_ptr[106];
	aldo_DCT_slope = par_ptr[107];
	aldo_CD_scale = par_ptr[108];
	aldo_CD_slope = par_ptr[109];
	anp_CD_scale = par_ptr[110];
	anp_CD_slope = par_ptr[111];
	Anhe3 = par_ptr[112];
	nominal_pt_na_reabsorption = par_ptr[113];
	nominal_dt_na_reabsorption = par_ptr[114];
	HCTZ_effect_on_DT_Na_reabs = par_ptr[115];
	max_cd_reabs_rate = par_ptr[116];
	nominal_cd_na_reabsorption = par_ptr[117];
	nom_glucose_reabs_per_unit_length_s1 = par_ptr[118];
	diabetic_adaptation = par_ptr[119];
	nom_glucose_reabs_per_unit_length_s2 = par_ptr[120];
	nom_glucose_reabs_per_unit_length_s3 = par_ptr[121];
	SGLT1_inhibition = par_ptr[122];
	glucose_concentration = par_ptr[123];
	maximal_RTg_increase = par_ptr[124];
	T_glucose_RTg = par_ptr[125];
	glucose_natriuresis_effect_pt = par_ptr[126];
	glucose_natriuresis_effect_cd = par_ptr[127];
	glucose_diuresis_effect_pt = par_ptr[128];
	glucose_diuresis_effect_cd = par_ptr[129];
	max_s1_Na_reabs = par_ptr[130];
	max_s2_Na_reabs = par_ptr[131];
	max_s3_Na_reabs = par_ptr[132];
	plasma_urea = par_ptr[133];
	urea_permeability_PT = par_ptr[134];
	PT_Na_reab_perUnitSA_0 = par_ptr[135];
	max_deltaLoH_reabs = par_ptr[136];
	LoH_flow_dependence = par_ptr[137];
	nom_Na_in_AscLoH = par_ptr[138];
	nominal_loh_na_reabsorption = par_ptr[139];
	loop_diuretic_effect = par_ptr[140];
	L_lh_des = par_ptr[141];
	S_tubulo_glomerular_feedback = par_ptr[142];
	MD_Na_concentration_setpoint = par_ptr[143];
	F_md_scale_tubulo_glomerular_feedback = par_ptr[144];
	L_dct = par_ptr[145];
	L_cd = par_ptr[146];
	CD_Na_reabs_threshold = par_ptr[147];
	nom_ADH_water_permeability = par_ptr[148];
	Na_intake_rate = par_ptr[149];
	interstitial_oncotic_pressure = par_ptr[150];
	nom_peritubular_cap_Kf = par_ptr[151];
	Pc_pt_s1_mmHg = par_ptr[152];
	Pc_pt_s2_mmHg = par_ptr[153];
	Pc_pt_s3_mmHg = par_ptr[154];
	Pc_lh_des_mmHg = par_ptr[155];
	Pc_lh_asc_mmHg = par_ptr[156];
	Pc_dt_mmHg = par_ptr[157];
	Pc_cd_mmHg = par_ptr[158];
	tubular_compliance = par_ptr[159];
	gamma = par_ptr[160];
	Dc_cd = par_ptr[161];
	Dc_dt = par_ptr[162];
	Dc_lh = par_ptr[163];
	L_lh_asc = par_ptr[164];
	AT1_aldo_slope = par_ptr[165];
	K_Na_ratio_effect_on_aldo = par_ptr[166];
	rsna_renin_slope = par_ptr[167];
	md_renin_A = par_ptr[168];
	md_renin_tau = par_ptr[169];
	nom_LoH_Na_outflow = par_ptr[170];
	AT1_PRC_slope = par_ptr[171];
	AT1_PRC_yint = par_ptr[172];
	concentration_to_renin_activity_conversion_plasma = par_ptr[173];
	renin_half_life = par_ptr[174];
	nominal_equilibrium_PRC = par_ptr[175];
	HCTZ_effect_on_renin_secretion = par_ptr[176];
	renin_hyperactivity = par_ptr[177];
	AngI_half_life = par_ptr[178];
	AngII_half_life = par_ptr[179];
	AT1_bound_AngII_half_life = par_ptr[180];
	AT2_bound_AngII_half_life = par_ptr[181];
	nominal_ACE_activity = par_ptr[182];
	nominal_chymase_activity = par_ptr[183];
	nominal_AT1_receptor_binding_rate = par_ptr[184];
	nominal_AT2_receptor_binding_rate = par_ptr[185];
	C_water_intake_ecf_volume = par_ptr[186];
	C_urine_flow_ecf_volume = par_ptr[187];
	Q_water = par_ptr[188];
	C_na_excretion_na_amount = par_ptr[189];
	C_na_intake_na_amount = par_ptr[190];
	Q_Na = par_ptr[191];
	C_tgf = par_ptr[192];
	C_aldo_secretion = par_ptr[193];
	C_cardiac_output_delayed = par_ptr[194];
	C_co_error = par_ptr[195];
	C_Na_error = par_ptr[196];
	C_vasopressin_delay = par_ptr[197];
	C_tgf_reset = par_ptr[198];
	C_P_bowmans = par_ptr[199];
	C_P_oncotic = par_ptr[200];
	C_rbf = par_ptr[201];
	C_rihp = par_ptr[202];
	C_md_flow = par_ptr[203];
	C_rsna = par_ptr[204];
	C_rsna2 = par_ptr[205];
	CD_PN_loss_rate = par_ptr[206];
	C_pt_water = par_ptr[207];
	creatinine_synthesis_rate = par_ptr[208];
	C_sglt2_delay = par_ptr[209];
	SGLT2_inhibition = par_ptr[210];
	C_ruge = par_ptr[211];

	AngI = __zzStateVar__[0];
	AngII = __zzStateVar__[1];
	AT1_bound_AngII = __zzStateVar__[2];
	AT2_bound_AngII = __zzStateVar__[3];
	plasma_renin_concentration = __zzStateVar__[4];
	blood_volume_L = __zzStateVar__[5];
	extracellular_fluid_volume = __zzStateVar__[6];
	sodium_amount = __zzStateVar__[7];
	ECF_sodium_amount = __zzStateVar__[8];
	stored_sodium = __zzStateVar__[9];
	tubulo_glomerular_feedback_effect = __zzStateVar__[10];
	normalized_aldosterone_level = __zzStateVar__[11];
	preafferent_pressure_autoreg_signal = __zzStateVar__[12];
	glomerular_pressure_autoreg_signal = __zzStateVar__[13];
	F_out_dt_delay = __zzStateVar__[14];
	cardiac_output_delayed = __zzStateVar__[15];
	CO_error = __zzStateVar__[16];
	Na_concentration_error = __zzStateVar__[17];
	normalized_vasopressin_concentration_delayed = __zzStateVar__[18];
	F0_TGF = __zzStateVar__[19];
	P_bowmans = __zzStateVar__[20];
	oncotic_pressure_difference = __zzStateVar__[21];
	renal_blood_flow_L_min_delayed = __zzStateVar__[22];
	renal_interstitial_hydrostatic_pressure = __zzStateVar__[23];
	SN_macula_densa_Na_flow_delayed = __zzStateVar__[24];
	rsna_delayed = __zzStateVar__[25];
	rsna_delayed2 = __zzStateVar__[26];
	disease_effects_increasing_Kf = __zzStateVar__[27];
	disease_effects_decreasing_CD_PN = __zzStateVar__[28];
	tubular_length_increase = __zzStateVar__[29];
	tubular_diameter_increase = __zzStateVar__[30];
	water_out_s1_delayed = __zzStateVar__[31];
	water_out_s2_delayed = __zzStateVar__[32];
	water_out_s3_delayed = __zzStateVar__[33];
	reabsorbed_urea_cd_delayed = __zzStateVar__[34];
	UGE = __zzStateVar__[35];
	serum_creatinine = __zzStateVar__[36];
	cumNaExcretion = __zzStateVar__[37];
	cumWaterExcretion = __zzStateVar__[38];
	cumCreatinineExcretion = __zzStateVar__[39];
	RTg_compensation = __zzStateVar__[40];
	SGLT2_inhibition_delayed = __zzStateVar__[41];
	RUGE_delayed = __zzStateVar__[42];

	number_of_functional_glomeruli = baseline_nephrons *( 1 - 0.3 * disease_effects_decreasing_Kf);
	number_of_functional_tubules = baseline_nephrons *( 1 - disease_effect_on_nephrons);
	tissue_autoregulation_signal = max( 0.1, 1 + tissue_autoreg_scale *(( Kp_CO / CO_scale_species) *( cardiac_output_delayed - CO_nom) +( Ki_CO / CO_scale_species) * CO_error));
	AT1_svr_int = 1 - AT1_svr_slope * nominal_equilibrium_AT1_bound_AngII;
	AT1_bound_AngII_effect_on_SVR = AT1_svr_int + AT1_svr_slope * AT1_bound_AngII;
	rsna_svr_int = 1 - rsna_svr_slope;
	rsna_effect_on_svr = rsna_svr_int + rsna_svr_slope * rsna_delayed;
	systemic_arterial_resistance = nom_systemic_arterial_resistance * tissue_autoregulation_signal * AT1_bound_AngII_effect_on_SVR * rsna_effect_on_svr;
	resistance_to_venous_return =(( 8 * R_venous + systemic_arterial_resistance) / 31.0);
	mean_filling_pressure = nom_mean_filling_pressure +( blood_volume_L / BV_scale_species - blood_volume_nom) / venous_compliance;
	venous_return =(( mean_filling_pressure) / resistance_to_venous_return);
	cardiac_output = venous_return;
	total_peripheral_resistance = systemic_arterial_resistance + R_venous;
	mean_arterial_pressure_MAP =( cardiac_output * total_peripheral_resistance);
	right_atrial_pressure =( nom_right_atrial_pressure * exp( blood_volume_L - 5 * BV_scale_species));
	MAP_effect_on_rsna = 0.5 + 1.0 /( 1 + exp(( mean_arterial_pressure_MAP - nominal_map_setpoint) / map_rsna_slope));
	R_atrial_pressure_effect_on_rsna_int = 1 + rap_rsna_slope * nom_right_atrial_pressure;
	R_atrial_pressure_effect_on_rsna = R_atrial_pressure_effect_on_rsna_int - rap_rsna_slope * right_atrial_pressure;
	renal_sympathetic_nerve_activity = nom_rsna * MAP_effect_on_rsna * R_atrial_pressure_effect_on_rsna * BB_effect_on_RSNA;
	rap_anp_intercept = 1 + rap_anp_slope / 2.0;
	normalized_atrial_NP_concentration = nom_ANP *(( rap_anp_intercept - rap_anp_slope /( 1 + exp( right_atrial_pressure - nom_right_atrial_pressure))));
	aldosterone_concentration = normalized_aldosterone_level * nominal_aldosterone_concentration;
	Aldo_MR_normalised_effect = normalized_aldosterone_level * MR_antagonist_effect_on_aldo_MR;
	AT1_preaff_int = 1 - AT1_preaff_scale / 2.0;
	AT1_effect_on_preaff = AT1_preaff_int + AT1_preaff_scale /( 1 + exp( -( AT1_bound_AngII - nominal_equilibrium_AT1_bound_AngII) / AT1_preaff_slope));
	AT1_aff_int = 1 - AT1_aff_scale / 2.0;
	AT1_effect_on_aff = AT1_aff_int + AT1_aff_scale /( 1 + exp( -( AT1_bound_AngII - nominal_equilibrium_AT1_bound_AngII) / AT1_aff_slope));
	AT1_eff_int = 1 - AT1_eff_scale / 2.0;
	AT1_effect_on_eff = AT1_eff_int + AT1_eff_scale /( 1 + exp( -( AT1_bound_AngII - nominal_equilibrium_AT1_bound_AngII) / AT1_eff_slope));
	rsna_preaff_int = 1 - rsna_preaff_scale / 2.0;
	rsna_effect_on_preaff = rsna_preaff_int + rsna_preaff_scale /( 1 + exp( -( renal_sympathetic_nerve_activity - nom_rsna) / rsna_preaff_slope));
	ANP_preaff_int = 1 + ANP_preaff_scale / 2.0;
	ANP_effect_on_preaff = ANP_preaff_int - ANP_preaff_scale /( 1 + exp( -( normalized_atrial_NP_concentration - nom_ANP) / ANP_preaff_slope));
	ANP_aff_int = 1 + ANP_aff_scale / 2.0;
	ANP_effect_on_aff = ANP_aff_int - ANP_aff_scale /( 1 + exp( -( normalized_atrial_NP_concentration - nom_ANP) / ANP_aff_slope));
	ANP_eff_int = 1 + ANP_eff_scale / 2.0;
	ANP_effect_on_eff = ANP_eff_int - ANP_eff_scale /( 1 + exp( -( normalized_atrial_NP_concentration - nom_ANP) / ANP_eff_slope));
	preaff_arteriole_signal_multiplier = AT1_effect_on_preaff * rsna_effect_on_preaff * ANP_effect_on_preaff *( preafferent_pressure_autoreg_signal) * CCB_effect_on_preafferent_resistance;
	preaff_arteriole_adjusted_signal_multiplier =( 1 /( 1 + exp( preaff_signal_nonlin_scale *( 1 - preaff_arteriole_signal_multiplier))) + 0.5);
	preafferent_arteriole_resistance = nom_preafferent_arteriole_resistance * preaff_arteriole_adjusted_signal_multiplier;
	nom_afferent_arteriole_resistance = L_m3 * viscosity_length_constant /( pow( nom_afferent_diameter, 4));
	afferent_arteriole_signal_multiplier = tubulo_glomerular_feedback_effect * AT1_effect_on_aff * ANP_effect_on_aff * glomerular_pressure_autoreg_signal * CCB_effect_on_afferent_resistance;
	afferent_arteriole_adjusted_signal_multiplier =( 1 /( 1 + exp( afferent_signal_nonlin_scale *( 1 - afferent_arteriole_signal_multiplier))) + 0.5);
	afferent_arteriole_resistance = nom_afferent_arteriole_resistance * afferent_arteriole_adjusted_signal_multiplier;
	nom_efferent_arteriole_resistance = L_m3 * viscosity_length_constant /( pow( nom_efferent_diameter, 4));
	efferent_arteriole_signal_multiplier = AT1_effect_on_eff * ANP_effect_on_eff * CCB_effect_on_efferent_resistance;
	efferent_arteriole_adjusted_signal_multiplier = 1 /( 1 + exp( efferent_signal_nonlin_scale *( 1 - efferent_arteriole_signal_multiplier))) + 0.5;
	efferent_arteriole_resistance = nom_efferent_arteriole_resistance * efferent_arteriole_adjusted_signal_multiplier;
	RBF_autoreg_int = 1 - RBF_autoreg_scale / 2.0;
	peritubular_autoreg_signal = RBF_autoreg_int + RBF_autoreg_scale /( 1 + exp(( nom_renal_blood_flow_L_min - renal_blood_flow_L_min_delayed) / RBF_autoreg_steepness));
	autoregulated_peritubular_resistance = peritubular_autoreg_signal * nom_peritubular_resistance;
	renal_vascular_resistance =( preafferent_arteriole_resistance +( afferent_arteriole_resistance + efferent_arteriole_resistance) / number_of_functional_glomeruli + autoregulated_peritubular_resistance);
	renal_blood_flow_L_min =(( mean_arterial_pressure_MAP - P_venous) / renal_vascular_resistance);
	renal_blood_flow_ml_hr = renal_blood_flow_L_min * 1000 * 60;
	preafferent_pressure = mean_arterial_pressure_MAP - renal_blood_flow_L_min * preafferent_arteriole_resistance;
	glomerular_pressure =( mean_arterial_pressure_MAP - renal_blood_flow_L_min *( preafferent_arteriole_resistance + afferent_arteriole_resistance / number_of_functional_glomeruli));
	postglomerular_pressure =( mean_arterial_pressure_MAP - renal_blood_flow_L_min *( preafferent_arteriole_resistance +( afferent_arteriole_resistance + efferent_arteriole_resistance) / number_of_functional_glomeruli));
	preaff_autoreg_int = 1 - preaff_autoreg_scale / 2.0;
	preafferent_pressure_autoreg_function = preaff_autoreg_int + preaff_autoreg_scale /( 1 + exp(( nom_preafferent_pressure - preafferent_pressure) / myogenic_steepness));
	gp_autoreg_int = 1 - gp_autoreg_scale / 2.0;
	glomerular_pressure_autoreg_function = gp_autoreg_int + gp_autoreg_scale /( 1 + exp(( nom_glomerular_pressure - glomerular_pressure) / myogenic_steepness));
	GP_effect_increasing_Kf =( maximal_glom_surface_area_increase - disease_effects_increasing_Kf) * max( glomerular_pressure /( nom_glomerular_pressure + 2) - 1, 0) / T_glomerular_pressure_increases_Kf;
	temp = glomerular_pressure /( nom_glomerular_pressure + 2);
	glomerular_hydrostatic_conductance_Kf = nom_Kf *( 1 + disease_effects_increasing_Kf) *( 1 - disease_effects_decreasing_Kf);
	net_filtration_pressure = glomerular_pressure - oncotic_pressure_difference - P_bowmans;
	SNGFR_nL_min = glomerular_hydrostatic_conductance_Kf *( glomerular_pressure - oncotic_pressure_difference - P_bowmans);
	GFR =( SNGFR_nL_min / 1000.0 / 1000000.0 * number_of_functional_tubules);
	GFR_ml_min = GFR * 1000;
	serum_creatinine_concentration = serum_creatinine / blood_volume_L;
	creatinine_clearance_rate = GFR_ml_min * dl_ml * serum_creatinine_concentration;
	GPdiff = max( 0, glomerular_pressure -( nom_GP_seiving_damage));
	GP_effect_on_Seiving = Emax_seiving * pow( GPdiff, Gamma_seiving) /( pow( GPdiff, Gamma_seiving) + pow( Km_seiving, Gamma_seiving));
	nom_glomerular_albumin_sieving_coefficient = seiving_inf /( 1 -( 1 - seiving_inf) * exp( - c_albumin * SNGFR_nL_min));
	glomerular_albumin_sieving_coefficient = nom_glomerular_albumin_sieving_coefficient *( 1 + GP_effect_on_Seiving);
	SN_albumin_filtration_rate = plasma_albumin_concentration * SNGFR_nL_min * 1e-6 * glomerular_albumin_sieving_coefficient;
	SN_albumin_excretion_rate = max( 0, SN_albumin_filtration_rate - SN_albumin_reabsorptive_capacity) + nom_albumin_excretion_rate;
	albumin_excretion_rate = SN_albumin_excretion_rate * number_of_functional_tubules;
	Oncotic_pressure_in = 1.629 * plasma_protein_concentration + 0.2935 *( pow( plasma_protein_concentration, 2));
	SNRBF_nl_min = 1e6 * 1000 * renal_blood_flow_L_min / number_of_functional_glomeruli;
	plasma_protein_concentration_out =( SNRBF_nl_min * plasma_protein_concentration - SN_albumin_filtration_rate) /( SNRBF_nl_min - SNGFR_nL_min);
	Oncotic_pressure_out = 1.629 * plasma_protein_concentration_out + 0.2935 *( pow( plasma_protein_concentration_out, 2));
	oncotic_pressure_avg =( Oncotic_pressure_in + Oncotic_pressure_out) / 2.0;
	Na_concentration = sodium_amount / blood_volume_L;
	ECF_Na_concentration = ECF_sodium_amount / extracellular_fluid_volume;
	sodium_storate_rate = Q_Na_store *(( max_stored_sodium - stored_sodium) / max_stored_sodium) *( ECF_Na_concentration - ref_Na_concentration);
	Na_water_controller = Na_controller_gain *( Kp_VP *( Na_concentration - ref_Na_concentration) + Ki_VP * Na_concentration_error);
	normalized_vasopressin_concentration = 1 + Na_water_controller;
	vasopressin_concentration = nominal_vasopressin_conc * normalized_vasopressin_concentration;
	water_intake_vasopressin_int = 1 - water_intake_vasopressin_scale / 2.0;
	water_intake = water_intake_species_scale *( nom_water_intake / 60.0 / 24.0) *( water_intake_vasopressin_int + water_intake_vasopressin_scale /( 1 + exp(( normalized_vasopressin_concentration_delayed - 1) / water_intake_vasopressin_slope)));
	daily_water_intake =( water_intake * 24.0 * 60.0);
	L_pt_s1 = L_pt_s1_nom *( 1 + tubular_length_increase);
	L_pt_s2 = L_pt_s2_nom *( 1 + tubular_length_increase);
	L_pt_s3 = L_pt_s3_nom *( 1 + tubular_length_increase);
	Dc_pt = Dc_pt_nom *( 1 + tubular_diameter_increase);
	L_pt = L_pt_s1 + L_pt_s2 + L_pt_s3;
	SN_filtered_Na_load =( SNGFR_nL_min / 1000 / 1000000) * Na_concentration;
	filtered_Na_load = SN_filtered_Na_load * number_of_functional_tubules;
	pressure_natriuresis_PT_int = 1 - pressure_natriuresis_PT_scale / 2;
	pressure_natriuresis_PT_effect = max( 0.001, pressure_natriuresis_PT_int + pressure_natriuresis_PT_scale /( 1 + exp(( postglomerular_pressure - RIHP0) / pressure_natriuresis_PT_slope)));
	pressure_natriuresis_LoH_int = 1 - pressure_natriuresis_LoH_scale / 2;
	pressure_natriuresis_LoH_effect = max( 0.001, pressure_natriuresis_LoH_int + pressure_natriuresis_LoH_scale /( 1 + exp(( postglomerular_pressure - RIHP0) / pressure_natriuresis_LoH_slope)));
	pressure_natriuresis_DCT_magnitude = max( 0, pressure_natriuresis_DCT_scale);
	pressure_natriuresis_DCT_int = 1 - pressure_natriuresis_DCT_magnitude / 2;
	pressure_natriuresis_DCT_effect = max( 0.001, pressure_natriuresis_DCT_int + pressure_natriuresis_DCT_magnitude /( 1 + exp(( postglomerular_pressure - RIHP0) / pressure_natriuresis_DCT_slope)));
	pressure_natriuresis_CD_magnitude = max( 0, pressure_natriuresis_CD_scale *( 1 + disease_effects_decreasing_CD_PN));
	pressure_natriuresis_CD_int = 1 - pressure_natriuresis_CD_magnitude / 2;
	pressure_natriuresis_CD_effect = max( 0.001, pressure_natriuresis_CD_int + pressure_natriuresis_CD_magnitude /( 1 + exp(( postglomerular_pressure - RIHP0) / pressure_natriuresis_CD_slope)));
	AT1_PT_int = 1 - AT1_PT_scale / 2;
	AT1_effect_on_PT = AT1_PT_int + AT1_PT_scale /( 1 + exp( -( AT1_bound_AngII - nominal_equilibrium_AT1_bound_AngII) / AT1_PT_slope));
	rsna_PT_int = 1 - rsna_PT_scale / 2;
	rsna_effect_on_PT = rsna_PT_int + rsna_PT_scale /( 1 + exp(( 1 - rsna_delayed2) / rsna_PT_slope));
	rsna_CD_int = 1 - rsna_CD_scale / 2;
	rsna_effect_on_CD = rsna_CD_int + rsna_CD_scale /( 1 + exp(( 1 - renal_sympathetic_nerve_activity) / rsna_CD_slope));
	aldo_DCT_int = 1 - aldo_DCT_scale / 2;
	aldo_effect_on_DCT = aldo_DCT_int + aldo_DCT_scale /( 1 + exp(( 1 - Aldo_MR_normalised_effect) / aldo_DCT_slope));
	aldo_CD_int = 1 - aldo_CD_scale / 2;
	aldo_effect_on_CD = aldo_CD_int + aldo_CD_scale /( 1 + exp(( 1 - Aldo_MR_normalised_effect) / aldo_CD_slope));
	anp_CD_int = 1 - anp_CD_scale / 2;
	anp_effect_on_CD = anp_CD_int + anp_CD_scale /( 1 + exp(( 1 - normalized_atrial_NP_concentration) / anp_CD_slope));
	NHE3inhib = Anhe3 * RUGE_delayed;
	pt_multiplier = AT1_effect_on_PT * rsna_effect_on_PT * pressure_natriuresis_PT_effect *( 1 - NHE3inhib);
	e_pt_sodreab = min( 1, nominal_pt_na_reabsorption * pt_multiplier);
	e_dct_sodreab = min( 1, nominal_dt_na_reabsorption * aldo_effect_on_DCT * pressure_natriuresis_DCT_effect * HCTZ_effect_on_DT_Na_reabs);
	cd_multiplier = anp_effect_on_CD * aldo_effect_on_CD * rsna_effect_on_CD * pressure_natriuresis_CD_effect;
	cd_scale = max_cd_reabs_rate / nominal_cd_na_reabsorption - 1;
	e_cd_sodreab = min( 1, nominal_cd_na_reabsorption * cd_multiplier);
	glucose_reabs_per_unit_length_s1 = nom_glucose_reabs_per_unit_length_s1 * diabetic_adaptation * SGLT2_inhibition_delayed *( 1 + RTg_compensation);
	glucose_reabs_per_unit_length_s2 = nom_glucose_reabs_per_unit_length_s2 * diabetic_adaptation * SGLT2_inhibition_delayed *( 1 + RTg_compensation);
	glucose_reabs_per_unit_length_s3 = nom_glucose_reabs_per_unit_length_s3 * diabetic_adaptation *( 1 + RTg_compensation) * SGLT1_inhibition;
	SN_filtered_glucose_load = glucose_concentration * SNGFR_nL_min / 1000 / 1000000;
	glucose_pt_out_s1 = max( 0, SN_filtered_glucose_load - glucose_reabs_per_unit_length_s1 * L_pt_s1);
	glucose_pt_out_s2 = max( 0, glucose_pt_out_s1 - glucose_reabs_per_unit_length_s2 * L_pt_s2);
	glucose_pt_out_s3 = max( 0, glucose_pt_out_s2 - glucose_reabs_per_unit_length_s3 * L_pt_s3);
	RUGE = glucose_pt_out_s3 * number_of_functional_tubules * 180;
	excess_glucose_increasing_RTg =( maximal_RTg_increase - RTg_compensation) * max( RUGE, 0) / T_glucose_RTg;
	osmotic_natriuresis_effect_pt = 1 - min( 1, RUGE * glucose_natriuresis_effect_pt);
	osmotic_natriuresis_effect_cd = 1 - min( 1, RUGE * glucose_natriuresis_effect_cd);
	osmotic_diuresis_effect_pt = 1 - min( 1, RUGE * glucose_diuresis_effect_pt);
	osmotic_diuresis_effect_cd = 1 - min( 1, RUGE * glucose_diuresis_effect_cd);
	SN_filtered_Na_load =( SNGFR_nL_min / 1000 / 1000000) * Na_concentration;
	SGTL2_Na_reabs_mmol_s1 = SN_filtered_glucose_load - glucose_pt_out_s1;
	SGTL2_Na_reabs_mmol_s2 = glucose_pt_out_s1 - glucose_pt_out_s2;
	SGTL1_Na_reabs_mmol = 2 *( glucose_pt_out_s2 - glucose_pt_out_s3);
	total_SGLT2_Na_reabs = SGTL2_Na_reabs_mmol_s1 + SGTL2_Na_reabs_mmol_s2 + SGTL1_Na_reabs_mmol;
	e_pt_sodreab_adj = e_pt_sodreab * osmotic_natriuresis_effect_pt - 0.039;
	Na_reabs_per_unit_length = - log( 1 - e_pt_sodreab) /( L_pt_s1 + L_pt_s2 + L_pt_s3);
	Na_pt_s1_reabs = min( max_s1_Na_reabs, SN_filtered_Na_load *( 1 - exp( - Na_reabs_per_unit_length * L_pt_s1)));
	Na_pt_out_s1 = SN_filtered_Na_load - Na_pt_s1_reabs - SGTL2_Na_reabs_mmol_s1;
	Na_pt_s2_reabs = min( max_s2_Na_reabs, Na_pt_out_s1 *( 1 - exp( - Na_reabs_per_unit_length * L_pt_s2)));
	Na_pt_out_s2 = Na_pt_out_s1 - Na_pt_s2_reabs - SGTL2_Na_reabs_mmol_s2;
	Na_pt_s3_reabs = min( max_s3_Na_reabs, Na_pt_out_s2 *( 1 - exp( - Na_reabs_per_unit_length * L_pt_s3)));
	Na_pt_out_s3 = Na_pt_out_s2 - Na_pt_s3_reabs - SGTL1_Na_reabs_mmol;
	PT_Na_reabs_fraction = 1 - Na_pt_out_s3 / SN_filtered_Na_load;
	SN_filtered_urea_load =( SNGFR_nL_min / 1000 / 1000000) * plasma_urea;
	urea_out_s1 = SN_filtered_urea_load - urea_permeability_PT *( SN_filtered_urea_load /( 0.5 *(( SNGFR_nL_min / 1000 / 1000000) + water_out_s1_delayed)) - plasma_urea) * water_out_s1_delayed;
	urea_out_s2 = urea_out_s1 - urea_permeability_PT *( urea_out_s1 /( 0.5 *( water_out_s1_delayed + water_out_s2_delayed)) - plasma_urea) * water_out_s2_delayed;
	urea_out_s3 = urea_out_s2 - urea_permeability_PT *( urea_out_s2 /( 0.5 *( water_out_s2_delayed + water_out_s3_delayed)) - plasma_urea) * water_out_s3_delayed;
	urea_reabsorption_fraction = 1 - urea_out_s3 / SN_filtered_urea_load;
	osmoles_out_s1 = 2 * Na_pt_out_s1 + glucose_pt_out_s1 + urea_out_s1;
	water_out_s1 =((( SNGFR_nL_min / 1000 / 1000000) /( 2 * SN_filtered_Na_load + SN_filtered_glucose_load + SN_filtered_urea_load))) * osmoles_out_s1;
	osmoles_out_s2 = 2 * Na_pt_out_s2 + glucose_pt_out_s2 + urea_out_s2;
	water_out_s2 =( water_out_s1 / osmoles_out_s1) * osmoles_out_s2;
	osmoles_out_s3 = 2 * Na_pt_out_s3 + glucose_pt_out_s3 + urea_out_s3;
	water_out_s3 =( water_out_s2 / osmoles_out_s2) * osmoles_out_s3;
	PT_water_reabs_fraction = 1 - water_out_s3 /( SNGFR_nL_min / 1000 / 1000000);
	Na_concentration_out_s1 = Na_pt_out_s1 / water_out_s1;
	Na_concentration_out_s2 = Na_pt_out_s2 / water_out_s2;
	Na_concentration_out_s3 = Na_pt_out_s3 / water_out_s3;
	glucose_concentration_out_s1 = glucose_pt_out_s1 / water_out_s1;
	glucose_concentration_out_s2 = glucose_pt_out_s2 / water_out_s2;
	glucose_concentration_out_s3 = glucose_pt_out_s3 / water_out_s3;
	urea_concentration_out_s1 = urea_out_s1 / water_out_s1;
	urea_concentration_out_s2 = urea_out_s2 / water_out_s2;
	urea_concentration_out_s3 = urea_out_s3 / water_out_s3;
	osmolality_out_s1 = osmoles_out_s1 / water_out_s1;
	osmolality_out_s2 = osmoles_out_s2 / water_out_s2;
	osmolality_out_s3 = osmoles_out_s3 / water_out_s3;
	PT_Na_outflow = Na_pt_out_s3 * number_of_functional_tubules;
	PT_Na_reab_perUnitSA = SN_filtered_Na_load * e_pt_sodreab /( 3.14 * Dc_pt *( L_pt_s1 + L_pt_s2 + L_pt_s3));
	normalized_PT_reabsorption_density = PT_Na_reab_perUnitSA / PT_Na_reab_perUnitSA_0;
	PT_Na_reabs_effect_increasing_tubular_length = 0;
	PT_Na_reabs_effect_increasing_tubular_diameter = 0;
	water_in_DescLoH = water_out_s3;
	Na_in_DescLoH = Na_pt_out_s3;
	urea_in_DescLoH = urea_out_s3;
	glucose_in_DescLoH = glucose_pt_out_s3;
	osmoles_in_DescLoH = osmoles_out_s3;
	Na_concentration_in_DescLoH = Na_concentration_out_s3;
	Urea_concentration_in_DescLoH = urea_concentration_out_s3;
	glucose_concentration_in_DescLoH = glucose_concentration_out_s3;
	osmolality_in_DescLoH = osmoles_out_s3 / water_out_s3;
	Na_out_DescLoH = Na_in_DescLoH;
	urea_out_DescLoH = urea_in_DescLoH;
	glucose_out_DescLoH = glucose_in_DescLoH;
	osmoles_out_DescLoH = osmoles_in_DescLoH;
	deltaLoH_NaFlow = min( max_deltaLoH_reabs, LoH_flow_dependence *( Na_out_DescLoH - nom_Na_in_AscLoH));
	AscLoH_Reab_Rate =( 2 * nominal_loh_na_reabsorption *( nom_Na_in_AscLoH + deltaLoH_NaFlow) * loop_diuretic_effect) / L_lh_des;
	effective_AscLoH_Reab_Rate = AscLoH_Reab_Rate * pressure_natriuresis_LoH_effect;
	osmolality_out_DescLoH = osmolality_in_DescLoH * exp( min( effective_AscLoH_Reab_Rate * L_lh_des, 2 * Na_in_DescLoH) /( water_in_DescLoH * osmolality_in_DescLoH));
	water_out_DescLoH = water_in_DescLoH * osmolality_in_DescLoH / osmolality_out_DescLoH;
	Na_concentration_out_DescLoH = Na_out_DescLoH / water_out_DescLoH;
	glucose_concentration_out_DescLoH = glucose_out_DescLoH / water_out_DescLoH;
	urea_concentration_out_DescLoH = urea_out_DescLoH / water_out_DescLoH;
	Na_in_AscLoH = Na_out_DescLoH;
	urea_in_AscLoH_before_secretion = urea_out_DescLoH;
	glucose_in_AscLoH = glucose_out_DescLoH;
	osmoles_in_AscLoH_before_secretion = osmoles_out_DescLoH;
	water_in_AscLoH = water_out_DescLoH;
	urea_in_AscLoH = urea_in_AscLoH_before_secretion + reabsorbed_urea_cd_delayed;
	urea_concentration_in_AscLoH = urea_in_AscLoH / water_out_DescLoH;
	osmoles_in_AscLoH = osmoles_in_AscLoH_before_secretion + reabsorbed_urea_cd_delayed;
	osmolality_in_AscLoH = osmoles_in_AscLoH / water_in_AscLoH;
	osmolality_out_AscLoH = osmolality_in_AscLoH - min( L_lh_des * effective_AscLoH_Reab_Rate, 2 * Na_in_DescLoH) *( exp( min( L_lh_des * effective_AscLoH_Reab_Rate, 2 * Na_in_DescLoH) /( water_in_DescLoH * osmolality_in_DescLoH)) / water_in_DescLoH);
	osmoles_reabsorbed_AscLoH =( osmolality_in_AscLoH - osmolality_out_AscLoH) * water_in_AscLoH;
	Na_reabsorbed_AscLoH = osmoles_reabsorbed_AscLoH / 2;
	Na_out_AscLoH = max( 0, Na_in_AscLoH - Na_reabsorbed_AscLoH);
	urea_out_AscLoH = urea_in_AscLoH;
	glucose_out_AscLoH = glucose_in_AscLoH;
	water_out_AscLoH = water_in_AscLoH;
	osmoles_out_AscLoH = osmolality_out_AscLoH * water_out_AscLoH;
	Na_concentration_out_AscLoH = Na_out_AscLoH / water_out_AscLoH;
	glucose_concentration_out_AscLoH = glucose_out_AscLoH / water_out_AscLoH;
	urea_concentration_out_AscLoH = urea_out_AscLoH / water_out_AscLoH;
	LoH_reabs_fraction = 1 - Na_out_AscLoH / Na_in_AscLoH;
	SN_macula_densa_Na_flow = Na_out_AscLoH;
	MD_Na_concentration = Na_concentration_out_AscLoH;
	TGF0_tubulo_glomerular_feedback = 1 - S_tubulo_glomerular_feedback / 2;
	tubulo_glomerular_feedback_signal =( TGF0_tubulo_glomerular_feedback + S_tubulo_glomerular_feedback /( 1 + exp(( MD_Na_concentration_setpoint - MD_Na_concentration) / F_md_scale_tubulo_glomerular_feedback)));
	water_in_DCT = water_out_AscLoH;
	Na_in_DCT = Na_out_AscLoH;
	urea_in_DCT = urea_out_AscLoH;
	glucose_in_DCT = glucose_out_AscLoH;
	osmoles_in_DCT = osmoles_out_AscLoH;
	Na_concentration_in_DCT = Na_concentration_out_AscLoH;
	urea_concentration_in_DCT = urea_concentration_out_AscLoH;
	glucose_concentration_in_DCT = glucose_concentration_out_AscLoH;
	osmolality_in_DCT = osmolality_out_AscLoH;
	urea_out_DCT = urea_in_DCT;
	glucose_out_DCT = glucose_in_DCT;
	water_out_DCT = water_in_DCT;
	urea_concentration_out_DCT = urea_out_DCT / water_out_DCT;
	glucose_concentration_out_DCT = glucose_out_DCT / water_out_DCT;
	R_dct = - log( 1 - e_dct_sodreab) / L_dct;
	Na_out_DCT = Na_in_DCT * exp( - R_dct * L_dct);
	Na_concentration_out_DCT = Na_out_DCT / water_out_DCT;
	osmolality_out_DCT = 2 * Na_concentration_out_DCT + glucose_concentration_out_DescLoH + urea_concentration_in_AscLoH;
	osmoles_out_DCT = osmolality_out_DCT * water_out_DCT;
	DCT_Na_reabs_fraction = 1 - Na_out_DCT / Na_in_DCT;
	water_in_CD = water_out_DCT;
	Na_in_CD = Na_out_DCT;
	urea_in_CD = urea_out_DCT;
	glucose_in_CD = glucose_out_DCT;
	osmoles_in_CD = osmoles_out_DCT;
	osmolality_in_CD = osmoles_in_CD / water_in_CD;
	Na_concentration_in_CD = Na_concentration_out_DCT;
	urea_concentration_in_CD = urea_concentration_out_DCT;
	glucose_concentration_in_CD = glucose_concentration_out_DCT;
	osmotic_diuresis_effect_cd = 1 - min( 1, RUGE * glucose_diuresis_effect_cd);
	e_cd_sodreab_adj = e_cd_sodreab * osmotic_natriuresis_effect_cd;
	R_cd = - log( 1 - e_cd_sodreab_adj) / L_cd;
	Na_reabsorbed_CD = min( Na_in_CD *( 1 - exp( - R_cd * L_cd)), CD_Na_reabs_threshold);
	Na_out_CD = Na_in_CD - Na_reabsorbed_CD;
	CD_Na_reabs_fraction = 1 - Na_out_CD / Na_in_CD;
	ADH_water_permeability_old = min( 1, max( 0, nom_ADH_water_permeability * normalized_vasopressin_concentration));
	ADH_water_permeability = normalized_vasopressin_concentration /( 0.15 + normalized_vasopressin_concentration);
	osmoles_out_CD = osmoles_in_CD - 2 *( Na_in_CD - Na_out_CD);
	osmolality_out_CD_before_osmotic_reabsorption = osmoles_out_CD / water_in_CD;
	water_reabsorbed_CD = ADH_water_permeability * osmotic_diuresis_effect_cd * water_in_CD *( 1 - osmolality_out_CD_before_osmotic_reabsorption / osmolality_out_DescLoH);
	water_out_CD = water_in_CD - water_reabsorbed_CD;
	osmolality_out_CD_after_osmotic_reabsorption = osmoles_out_CD / water_out_CD;
	glucose_concentration_after_urea_reabsorption = glucose_in_CD / water_out_CD;
	urine_flow_rate = water_out_CD * number_of_functional_tubules;
	daily_urine_flow =( urine_flow_rate * 60 * 24);
	Na_excretion_via_urine = Na_out_CD * number_of_functional_tubules;
	Na_balance = Na_intake_rate - Na_excretion_via_urine;
	water_balance = daily_water_intake - daily_urine_flow;
	FENA = Na_excretion_via_urine / filtered_Na_load;
	PT_fractional_glucose_reabs =( SN_filtered_glucose_load - glucose_pt_out_s3) / SN_filtered_glucose_load;
	PT_fractional_Na_reabs =( SN_filtered_Na_load - Na_pt_out_s3) / SN_filtered_Na_load;
	PT_fractional_urea_reabs =( SN_filtered_urea_load - urea_out_s3) / SN_filtered_urea_load;
	PT_fractional_water_reabs =(( SNGFR_nL_min / 1000 / 1000000) - water_out_s3) /( SNGFR_nL_min / 1000 / 1000000);
	LoH_fractional_Na_reabs =( Na_in_DescLoH - Na_out_AscLoH) / Na_in_DescLoH;
	LoH_fractional_urea_reabs =( urea_in_DescLoH - urea_out_AscLoH) / urea_in_DescLoH;
	LoH_fractional_water_reabs =( water_in_DescLoH - water_out_AscLoH) / water_in_DescLoH;
	DCT_fractional_Na_reabs =( Na_in_DCT - Na_out_DCT) / Na_in_DCT;
	CD_fractional_Na_reabs =( Na_in_CD - Na_out_CD) / Na_in_CD;
	CD_OM_fractional_water_reabs =( water_in_CD - water_out_CD) / water_in_CD;
	Oncotic_pressure_peritubular_in = Oncotic_pressure_out;
	plasma_protein_concentration_peritubular_out =( SNRBF_nl_min) * plasma_protein_concentration /( SNRBF_nl_min - urine_flow_rate * 1e6 * 1000 / number_of_functional_glomeruli);
	Oncotic_pressure_peritubular_out = 1.629 * plasma_protein_concentration_peritubular_out + 0.2935 *( pow( plasma_protein_concentration_peritubular_out, 2.0));
	oncotic_pressure_peritubular_avg =( Oncotic_pressure_peritubular_in + Oncotic_pressure_peritubular_out) / 2.0;
	tubular_reabsorption = GFR_ml_min / 1000 - urine_flow_rate;
	RIHP = postglomerular_pressure -( oncotic_pressure_peritubular_avg - interstitial_oncotic_pressure) + tubular_reabsorption / nom_peritubular_cap_Kf;
	mmHg_Nperm2_conv = 133.32;
	Pc_pt_s1 = Pc_pt_s1_mmHg * mmHg_Nperm2_conv;
	Pc_pt_s2 = Pc_pt_s2_mmHg * mmHg_Nperm2_conv;
	Pc_pt_s3 = Pc_pt_s3_mmHg * mmHg_Nperm2_conv;
	Pc_lh_des = Pc_lh_des_mmHg * mmHg_Nperm2_conv;
	Pc_lh_asc = Pc_lh_asc_mmHg * mmHg_Nperm2_conv;
	Pc_dt = Pc_dt_mmHg * mmHg_Nperm2_conv;
	Pc_cd = Pc_cd_mmHg * mmHg_Nperm2_conv;
	P_interstitial = 4.9 * mmHg_Nperm2_conv;
	pi = 3.14;
	B1 =( 4 * tubular_compliance + 1) * 128 * gamma / pi;
	mean_cd_water_flow =( water_in_CD - water_out_CD) / 2;
	B2_cd =( pow( Pc_cd,( 4 * tubular_compliance))) /( pow( Dc_cd, 4));
	P_in_cd = pow(( pow( 0,( 4 * tubular_compliance + 1)) + B1 * B2_cd *( mean_cd_water_flow / 1e3) * L_cd),( 1 /( 4 * tubular_compliance + 1)));
	P_in_cd_mmHg =( P_in_cd + P_interstitial) / mmHg_Nperm2_conv;
	B2_dt =( pow( Pc_dt,( 4 * tubular_compliance))) /( pow( Dc_dt, 4));
	P_in_dt = pow(( pow( P_in_cd,( 4 * tubular_compliance + 1)) + B1 * B2_dt *( water_in_DCT / 1e3) * L_dct),( 1 /( 4 * tubular_compliance + 1)));
	P_in_dt_mmHg =( P_in_dt + P_interstitial) / mmHg_Nperm2_conv;
	B2_lh_asc =( pow( Pc_lh_asc,( 4 * tubular_compliance))) /( pow( Dc_lh, 4));
	P_in_lh_asc = pow(( pow( P_in_dt,( 4 * tubular_compliance + 1)) + B1 * B2_lh_asc *( water_in_AscLoH / 1e3) * L_lh_asc),( 1 /( 4 * tubular_compliance + 1)));
	P_in_lh_asc_mmHg =( P_in_lh_asc + P_interstitial) / mmHg_Nperm2_conv;
	A_lh_des = effective_AscLoH_Reab_Rate /( water_in_DescLoH * osmolality_in_DescLoH);
	B2_lh_des =( pow( Pc_lh_des,( 4 * tubular_compliance))) *( water_in_DescLoH / 1e3) /(( pow( Dc_lh, 4)) * A_lh_des);
	P_in_lh_des = pow(( pow( P_in_lh_asc,( 4 * tubular_compliance + 1)) + B1 * B2_lh_des *( 1 - exp( - A_lh_des * L_lh_des))),( 1 /( 4 * tubular_compliance + 1)));
	P_in_lh_des_mmHg =( P_in_lh_des + P_interstitial) / mmHg_Nperm2_conv;
	Rurea =( SN_filtered_urea_load - urea_out_s3) /( L_pt_s1 + L_pt_s2 + L_pt_s3);
	urea_in_s2 = SN_filtered_urea_load - Rurea * L_pt_s1;
	urea_in_s3 = SN_filtered_urea_load - Rurea *( L_pt_s1 + L_pt_s2);
	A_na = Na_reabs_per_unit_length;
	flow_integral_s3 = 2 *( Na_pt_out_s2 / A_na) *( 1 - exp( - A_na * L_pt_s3)) -( 3 / 2) * glucose_pt_out_s2 * pow( L_pt_s3, 2) + urea_in_s3 * L_pt_s3 -( 1 / 2) * Rurea *( pow( L_pt_s3, 2));
	flow_integral_s2 = 2 *( Na_pt_out_s1 / A_na) *( 1 - exp( - A_na * L_pt_s2)) -( 1 / 2) * glucose_pt_out_s1 * pow( L_pt_s2, 2) + urea_in_s2 * L_pt_s2 -( 1 / 2) * Rurea *( pow( L_pt_s2, 2));
	flow_integral_s1 = 2 *( SN_filtered_Na_load / A_na) *( 1 - exp( - A_na * L_pt_s1)) -( 1 / 2) * SN_filtered_glucose_load * pow( L_pt_s1, 2) + SN_filtered_urea_load * L_pt_s1 -( 1 / 2) * Rurea *( pow( L_pt_s1, 2));
	B2_pt_s3 =( pow( Pc_pt_s3,( 4 * tubular_compliance))) /( pow( Dc_pt, 4));
	B3_pt_s3 =( water_out_s2 / 1e3) / osmoles_out_s2;
	P_in_pt_s3 = pow(( pow( P_in_lh_des,( 4 * tubular_compliance + 1)) + B1 * B2_pt_s3 * B3_pt_s3 * flow_integral_s3),( 1 /( 4 * tubular_compliance + 1)));
	P_in_pt_s3_mmHg =( P_in_pt_s3 + P_interstitial) / mmHg_Nperm2_conv;
	B2_pt_s2 =( pow( Pc_pt_s3,( 4 * tubular_compliance))) /( pow( Dc_pt, 4));
	B3_pt_s2 =( water_out_s1 / 1e3) / osmoles_out_s1;
	P_in_pt_s2 = pow(( pow( P_in_pt_s3,( 4 * tubular_compliance + 1)) + B1 * B2_pt_s2 * B3_pt_s2 * flow_integral_s2),( 1 /( 4 * tubular_compliance + 1)));
	P_in_pt_s2_mmHg =( P_in_pt_s2 + P_interstitial) / mmHg_Nperm2_conv;
	B2_pt_s1 =( pow( Pc_pt_s1,( 4 * tubular_compliance))) /( pow( Dc_pt, 4));
	B3_pt_s1 =( SNGFR_nL_min / 1e12) /( 2 * SN_filtered_Na_load + SN_filtered_glucose_load + SN_filtered_urea_load);
	P_in_pt_s1 = pow(( pow( P_in_pt_s2,( 4 * tubular_compliance + 1)) + B1 * B2_pt_s1 * B3_pt_s1 * flow_integral_s1),( 1 /( 4 * tubular_compliance + 1)));
	P_in_pt_s1_mmHg =( P_in_pt_s1 + P_interstitial) / mmHg_Nperm2_conv;
	AT1_aldo_int = 1 - AT1_aldo_slope * nominal_equilibrium_AT1_bound_AngII;
	AngII_effect_on_aldo = AT1_aldo_int + AT1_aldo_slope * AT1_bound_AngII;
	N_als =( K_Na_ratio_effect_on_aldo * AngII_effect_on_aldo);
	ACEI_effect_on_ACE_activity = 1;
	ARB_effect_on_AT1_binding = 1;
	DRI_effect_on_PRA = 1;
	rsna_renin_intercept = 1 - rsna_renin_slope;
	rnsa_effect_on_renin_secretion = rsna_renin_slope * renal_sympathetic_nerve_activity + rsna_renin_intercept;
	md_effect_on_renin_secretion = md_renin_A * exp( - md_renin_tau *( SN_macula_densa_Na_flow_delayed * baseline_nephrons - nom_LoH_Na_outflow));
	AT1_bound_AngII_effect_on_PRA =( pow( 10,( AT1_PRC_slope * log10( AT1_bound_AngII / nominal_equilibrium_AT1_bound_AngII) + AT1_PRC_yint)));
	plasma_renin_activity = concentration_to_renin_activity_conversion_plasma * plasma_renin_concentration * DRI_effect_on_PRA;
	renin_secretion_rate =( log( 2) / renin_half_life) * nominal_equilibrium_PRC * AT1_bound_AngII_effect_on_PRA * md_effect_on_renin_secretion * rnsa_effect_on_renin_secretion * HCTZ_effect_on_renin_secretion * renin_hyperactivity;
	renin_degradation_rate = log( 2) / renin_half_life;
	AngI_degradation_rate = log( 2) / AngI_half_life;
	AngII_degradation_rate = log( 2) / AngII_half_life;
	AT1_bound_AngII_degradation_rate = log( 2) / AT1_bound_AngII_half_life;
	AT2_bound_AngII_degradation_rate = log( 2) / AT2_bound_AngII_half_life;
	ACE_activity = nominal_ACE_activity * ACEI_effect_on_ACE_activity;
	chymase_activity = nominal_chymase_activity;
	AT1_receptor_binding_rate = nominal_AT1_receptor_binding_rate * ARB_effect_on_AT1_binding;
	AT2_receptor_binding_rate = nominal_AT2_receptor_binding_rate;

	lhs[0]=number_of_functional_glomeruli;
	lhs[1]=number_of_functional_tubules;
	lhs[2]=tissue_autoregulation_signal;
	lhs[3]=AT1_svr_int;
	lhs[4]=AT1_bound_AngII_effect_on_SVR;
	lhs[5]=rsna_svr_int;
	lhs[6]=rsna_effect_on_svr;
	lhs[7]=systemic_arterial_resistance;
	lhs[8]=resistance_to_venous_return;
	lhs[9]=mean_filling_pressure;
	lhs[10]=venous_return;
	lhs[11]=cardiac_output;
	lhs[12]=total_peripheral_resistance;
	lhs[13]=mean_arterial_pressure_MAP;
	lhs[14]=right_atrial_pressure;
	lhs[15]=MAP_effect_on_rsna;
	lhs[16]=R_atrial_pressure_effect_on_rsna_int;
	lhs[17]=R_atrial_pressure_effect_on_rsna;
	lhs[18]=renal_sympathetic_nerve_activity;
	lhs[19]=rap_anp_intercept;
	lhs[20]=normalized_atrial_NP_concentration;
	lhs[21]=aldosterone_concentration;
	lhs[22]=Aldo_MR_normalised_effect;
	lhs[23]=AT1_preaff_int;
	lhs[24]=AT1_effect_on_preaff;
	lhs[25]=AT1_aff_int;
	lhs[26]=AT1_effect_on_aff;
	lhs[27]=AT1_eff_int;
	lhs[28]=AT1_effect_on_eff;
	lhs[29]=rsna_preaff_int;
	lhs[30]=rsna_effect_on_preaff;
	lhs[31]=ANP_preaff_int;
	lhs[32]=ANP_effect_on_preaff;
	lhs[33]=ANP_aff_int;
	lhs[34]=ANP_effect_on_aff;
	lhs[35]=ANP_eff_int;
	lhs[36]=ANP_effect_on_eff;
	lhs[37]=preaff_arteriole_signal_multiplier;
	lhs[38]=preaff_arteriole_adjusted_signal_multiplier;
	lhs[39]=preafferent_arteriole_resistance;
	lhs[40]=nom_afferent_arteriole_resistance;
	lhs[41]=afferent_arteriole_signal_multiplier;
	lhs[42]=afferent_arteriole_adjusted_signal_multiplier;
	lhs[43]=afferent_arteriole_resistance;
	lhs[44]=nom_efferent_arteriole_resistance;
	lhs[45]=efferent_arteriole_signal_multiplier;
	lhs[46]=efferent_arteriole_adjusted_signal_multiplier;
	lhs[47]=efferent_arteriole_resistance;
	lhs[48]=RBF_autoreg_int;
	lhs[49]=peritubular_autoreg_signal;
	lhs[50]=autoregulated_peritubular_resistance;
	lhs[51]=renal_vascular_resistance;
	lhs[52]=renal_blood_flow_L_min;
	lhs[53]=renal_blood_flow_ml_hr;
	lhs[54]=preafferent_pressure;
	lhs[55]=glomerular_pressure;
	lhs[56]=postglomerular_pressure;
	lhs[57]=preaff_autoreg_int;
	lhs[58]=preafferent_pressure_autoreg_function;
	lhs[59]=gp_autoreg_int;
	lhs[60]=glomerular_pressure_autoreg_function;
	lhs[61]=GP_effect_increasing_Kf;
	lhs[62]=temp;
	lhs[63]=glomerular_hydrostatic_conductance_Kf;
	lhs[64]=net_filtration_pressure;
	lhs[65]=SNGFR_nL_min;
	lhs[66]=GFR;
	lhs[67]=GFR_ml_min;
	lhs[68]=serum_creatinine_concentration;
	lhs[69]=creatinine_clearance_rate;
	lhs[70]=GPdiff;
	lhs[71]=GP_effect_on_Seiving;
	lhs[72]=nom_glomerular_albumin_sieving_coefficient;
	lhs[73]=glomerular_albumin_sieving_coefficient;
	lhs[74]=SN_albumin_filtration_rate;
	lhs[75]=SN_albumin_excretion_rate;
	lhs[76]=albumin_excretion_rate;
	lhs[77]=Oncotic_pressure_in;
	lhs[78]=SNRBF_nl_min;
	lhs[79]=plasma_protein_concentration_out;
	lhs[80]=Oncotic_pressure_out;
	lhs[81]=oncotic_pressure_avg;
	lhs[82]=Na_concentration;
	lhs[83]=ECF_Na_concentration;
	lhs[84]=sodium_storate_rate;
	lhs[85]=Na_water_controller;
	lhs[86]=normalized_vasopressin_concentration;
	lhs[87]=vasopressin_concentration;
	lhs[88]=water_intake_vasopressin_int;
	lhs[89]=water_intake;
	lhs[90]=daily_water_intake;
	lhs[91]=L_pt_s1;
	lhs[92]=L_pt_s2;
	lhs[93]=L_pt_s3;
	lhs[94]=Dc_pt;
	lhs[95]=L_pt;
	lhs[96]=SN_filtered_Na_load;
	lhs[97]=filtered_Na_load;
	lhs[98]=pressure_natriuresis_PT_int;
	lhs[99]=pressure_natriuresis_PT_effect;
	lhs[100]=pressure_natriuresis_LoH_int;
	lhs[101]=pressure_natriuresis_LoH_effect;
	lhs[102]=pressure_natriuresis_DCT_magnitude;
	lhs[103]=pressure_natriuresis_DCT_int;
	lhs[104]=pressure_natriuresis_DCT_effect;
	lhs[105]=pressure_natriuresis_CD_magnitude;
	lhs[106]=pressure_natriuresis_CD_int;
	lhs[107]=pressure_natriuresis_CD_effect;
	lhs[108]=AT1_PT_int;
	lhs[109]=AT1_effect_on_PT;
	lhs[110]=rsna_PT_int;
	lhs[111]=rsna_effect_on_PT;
	lhs[112]=rsna_CD_int;
	lhs[113]=rsna_effect_on_CD;
	lhs[114]=aldo_DCT_int;
	lhs[115]=aldo_effect_on_DCT;
	lhs[116]=aldo_CD_int;
	lhs[117]=aldo_effect_on_CD;
	lhs[118]=anp_CD_int;
	lhs[119]=anp_effect_on_CD;
	lhs[120]=NHE3inhib;
	lhs[121]=pt_multiplier;
	lhs[122]=e_pt_sodreab;
	lhs[123]=e_dct_sodreab;
	lhs[124]=cd_multiplier;
	lhs[125]=cd_scale;
	lhs[126]=e_cd_sodreab;
	lhs[127]=glucose_reabs_per_unit_length_s1;
	lhs[128]=glucose_reabs_per_unit_length_s2;
	lhs[129]=glucose_reabs_per_unit_length_s3;
	lhs[130]=SN_filtered_glucose_load;
	lhs[131]=glucose_pt_out_s1;
	lhs[132]=glucose_pt_out_s2;
	lhs[133]=glucose_pt_out_s3;
	lhs[134]=RUGE;
	lhs[135]=excess_glucose_increasing_RTg;
	lhs[136]=osmotic_natriuresis_effect_pt;
	lhs[137]=osmotic_natriuresis_effect_cd;
	lhs[138]=osmotic_diuresis_effect_pt;
	lhs[139]=osmotic_diuresis_effect_cd;
	lhs[140]=SGTL2_Na_reabs_mmol_s1;
	lhs[141]=SGTL2_Na_reabs_mmol_s2;
	lhs[142]=SGTL1_Na_reabs_mmol;
	lhs[143]=total_SGLT2_Na_reabs;
	lhs[144]=e_pt_sodreab_adj;
	lhs[145]=Na_reabs_per_unit_length;
	lhs[146]=Na_pt_s1_reabs;
	lhs[147]=Na_pt_out_s1;
	lhs[148]=Na_pt_s2_reabs;
	lhs[149]=Na_pt_out_s2;
	lhs[150]=Na_pt_s3_reabs;
	lhs[151]=Na_pt_out_s3;
	lhs[152]=PT_Na_reabs_fraction;
	lhs[153]=SN_filtered_urea_load;
	lhs[154]=urea_out_s1;
	lhs[155]=urea_out_s2;
	lhs[156]=urea_out_s3;
	lhs[157]=urea_reabsorption_fraction;
	lhs[158]=osmoles_out_s1;
	lhs[159]=water_out_s1;
	lhs[160]=osmoles_out_s2;
	lhs[161]=water_out_s2;
	lhs[162]=osmoles_out_s3;
	lhs[163]=water_out_s3;
	lhs[164]=PT_water_reabs_fraction;
	lhs[165]=Na_concentration_out_s1;
	lhs[166]=Na_concentration_out_s2;
	lhs[167]=Na_concentration_out_s3;
	lhs[168]=glucose_concentration_out_s1;
	lhs[169]=glucose_concentration_out_s2;
	lhs[170]=glucose_concentration_out_s3;
	lhs[171]=urea_concentration_out_s1;
	lhs[172]=urea_concentration_out_s2;
	lhs[173]=urea_concentration_out_s3;
	lhs[174]=osmolality_out_s1;
	lhs[175]=osmolality_out_s2;
	lhs[176]=osmolality_out_s3;
	lhs[177]=PT_Na_outflow;
	lhs[178]=PT_Na_reab_perUnitSA;
	lhs[179]=normalized_PT_reabsorption_density;
	lhs[180]=PT_Na_reabs_effect_increasing_tubular_length;
	lhs[181]=PT_Na_reabs_effect_increasing_tubular_diameter;
	lhs[182]=water_in_DescLoH;
	lhs[183]=Na_in_DescLoH;
	lhs[184]=urea_in_DescLoH;
	lhs[185]=glucose_in_DescLoH;
	lhs[186]=osmoles_in_DescLoH;
	lhs[187]=Na_concentration_in_DescLoH;
	lhs[188]=Urea_concentration_in_DescLoH;
	lhs[189]=glucose_concentration_in_DescLoH;
	lhs[190]=osmolality_in_DescLoH;
	lhs[191]=Na_out_DescLoH;
	lhs[192]=urea_out_DescLoH;
	lhs[193]=glucose_out_DescLoH;
	lhs[194]=osmoles_out_DescLoH;
	lhs[195]=deltaLoH_NaFlow;
	lhs[196]=AscLoH_Reab_Rate;
	lhs[197]=effective_AscLoH_Reab_Rate;
	lhs[198]=osmolality_out_DescLoH;
	lhs[199]=water_out_DescLoH;
	lhs[200]=Na_concentration_out_DescLoH;
	lhs[201]=glucose_concentration_out_DescLoH;
	lhs[202]=urea_concentration_out_DescLoH;
	lhs[203]=Na_in_AscLoH;
	lhs[204]=urea_in_AscLoH_before_secretion;
	lhs[205]=glucose_in_AscLoH;
	lhs[206]=osmoles_in_AscLoH_before_secretion;
	lhs[207]=water_in_AscLoH;
	lhs[208]=urea_in_AscLoH;
	lhs[209]=urea_concentration_in_AscLoH;
	lhs[210]=osmoles_in_AscLoH;
	lhs[211]=osmolality_in_AscLoH;
	lhs[212]=osmolality_out_AscLoH;
	lhs[213]=osmoles_reabsorbed_AscLoH;
	lhs[214]=Na_reabsorbed_AscLoH;
	lhs[215]=Na_out_AscLoH;
	lhs[216]=urea_out_AscLoH;
	lhs[217]=glucose_out_AscLoH;
	lhs[218]=water_out_AscLoH;
	lhs[219]=osmoles_out_AscLoH;
	lhs[220]=Na_concentration_out_AscLoH;
	lhs[221]=glucose_concentration_out_AscLoH;
	lhs[222]=urea_concentration_out_AscLoH;
	lhs[223]=LoH_reabs_fraction;
	lhs[224]=SN_macula_densa_Na_flow;
	lhs[225]=MD_Na_concentration;
	lhs[226]=TGF0_tubulo_glomerular_feedback;
	lhs[227]=tubulo_glomerular_feedback_signal;
	lhs[228]=water_in_DCT;
	lhs[229]=Na_in_DCT;
	lhs[230]=urea_in_DCT;
	lhs[231]=glucose_in_DCT;
	lhs[232]=osmoles_in_DCT;
	lhs[233]=Na_concentration_in_DCT;
	lhs[234]=urea_concentration_in_DCT;
	lhs[235]=glucose_concentration_in_DCT;
	lhs[236]=osmolality_in_DCT;
	lhs[237]=urea_out_DCT;
	lhs[238]=glucose_out_DCT;
	lhs[239]=water_out_DCT;
	lhs[240]=urea_concentration_out_DCT;
	lhs[241]=glucose_concentration_out_DCT;
	lhs[242]=R_dct;
	lhs[243]=Na_out_DCT;
	lhs[244]=Na_concentration_out_DCT;
	lhs[245]=osmolality_out_DCT;
	lhs[246]=osmoles_out_DCT;
	lhs[247]=DCT_Na_reabs_fraction;
	lhs[248]=water_in_CD;
	lhs[249]=Na_in_CD;
	lhs[250]=urea_in_CD;
	lhs[251]=glucose_in_CD;
	lhs[252]=osmoles_in_CD;
	lhs[253]=osmolality_in_CD;
	lhs[254]=Na_concentration_in_CD;
	lhs[255]=urea_concentration_in_CD;
	lhs[256]=glucose_concentration_in_CD;
	lhs[257]=e_cd_sodreab_adj;
	lhs[258]=R_cd;
	lhs[259]=Na_reabsorbed_CD;
	lhs[260]=Na_out_CD;
	lhs[261]=CD_Na_reabs_fraction;
	lhs[262]=ADH_water_permeability_old;
	lhs[263]=ADH_water_permeability;
	lhs[264]=osmoles_out_CD;
	lhs[265]=osmolality_out_CD_before_osmotic_reabsorption;
	lhs[266]=water_reabsorbed_CD;
	lhs[267]=water_out_CD;
	lhs[268]=osmolality_out_CD_after_osmotic_reabsorption;
	lhs[269]=glucose_concentration_after_urea_reabsorption;
	lhs[270]=urine_flow_rate;
	lhs[271]=daily_urine_flow;
	lhs[272]=Na_excretion_via_urine;
	lhs[273]=Na_balance;
	lhs[274]=water_balance;
	lhs[275]=FENA;
	lhs[276]=PT_fractional_glucose_reabs;
	lhs[277]=PT_fractional_Na_reabs;
	lhs[278]=PT_fractional_urea_reabs;
	lhs[279]=PT_fractional_water_reabs;
	lhs[280]=LoH_fractional_Na_reabs;
	lhs[281]=LoH_fractional_urea_reabs;
	lhs[282]=LoH_fractional_water_reabs;
	lhs[283]=DCT_fractional_Na_reabs;
	lhs[284]=CD_fractional_Na_reabs;
	lhs[285]=CD_OM_fractional_water_reabs;
	lhs[286]=Oncotic_pressure_peritubular_in;
	lhs[287]=plasma_protein_concentration_peritubular_out;
	lhs[288]=Oncotic_pressure_peritubular_out;
	lhs[289]=oncotic_pressure_peritubular_avg;
	lhs[290]=tubular_reabsorption;
	lhs[291]=RIHP;
	lhs[292]=mmHg_Nperm2_conv;
	lhs[293]=Pc_pt_s1;
	lhs[294]=Pc_pt_s2;
	lhs[295]=Pc_pt_s3;
	lhs[296]=Pc_lh_des;
	lhs[297]=Pc_lh_asc;
	lhs[298]=Pc_dt;
	lhs[299]=Pc_cd;
	lhs[300]=P_interstitial;
	lhs[301]=pi;
	lhs[302]=B1;
	lhs[303]=mean_cd_water_flow;
	lhs[304]=B2_cd;
	lhs[305]=P_in_cd;
	lhs[306]=P_in_cd_mmHg;
	lhs[307]=B2_dt;
	lhs[308]=P_in_dt;
	lhs[309]=P_in_dt_mmHg;
	lhs[310]=B2_lh_asc;
	lhs[311]=P_in_lh_asc;
	lhs[312]=P_in_lh_asc_mmHg;
	lhs[313]=A_lh_des;
	lhs[314]=B2_lh_des;
	lhs[315]=P_in_lh_des;
	lhs[316]=P_in_lh_des_mmHg;
	lhs[317]=Rurea;
	lhs[318]=urea_in_s2;
	lhs[319]=urea_in_s3;
	lhs[320]=A_na;
	lhs[321]=flow_integral_s3;
	lhs[322]=flow_integral_s2;
	lhs[323]=flow_integral_s1;
	lhs[324]=B2_pt_s3;
	lhs[325]=B3_pt_s3;
	lhs[326]=P_in_pt_s3;
	lhs[327]=P_in_pt_s3_mmHg;
	lhs[328]=B2_pt_s2;
	lhs[329]=B3_pt_s2;
	lhs[330]=P_in_pt_s2;
	lhs[331]=P_in_pt_s2_mmHg;
	lhs[332]=B2_pt_s1;
	lhs[333]=B3_pt_s1;
	lhs[334]=P_in_pt_s1;
	lhs[335]=P_in_pt_s1_mmHg;
	lhs[336]=AT1_aldo_int;
	lhs[337]=AngII_effect_on_aldo;
	lhs[338]=N_als;
	lhs[339]=ACEI_effect_on_ACE_activity;
	lhs[340]=ARB_effect_on_AT1_binding;
	lhs[341]=DRI_effect_on_PRA;
	lhs[342]=rsna_renin_intercept;
	lhs[343]=rnsa_effect_on_renin_secretion;
	lhs[344]=md_effect_on_renin_secretion;
	lhs[345]=AT1_bound_AngII_effect_on_PRA;
	lhs[346]=plasma_renin_activity;
	lhs[347]=renin_secretion_rate;
	lhs[348]=renin_degradation_rate;
	lhs[349]=AngI_degradation_rate;
	lhs[350]=AngII_degradation_rate;
	lhs[351]=AT1_bound_AngII_degradation_rate;
	lhs[352]=AT2_bound_AngII_degradation_rate;
	lhs[353]=ACE_activity;
	lhs[354]=chymase_activity;
	lhs[355]=AT1_receptor_binding_rate;
	lhs[356]=AT2_receptor_binding_rate;
}

[jfndiaye]

Hi @mattfidler,
It runs now for the ubuntu virtual machine, thank you. It seems also to be close for the M1 macOS, the file model1.c contains the same code you cite above but it fails to create the model1.d/model1.so file. Here is the error message :

> mod1 <- RxODE(model = ode, modName = "model1")
clang -arch arm64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I/Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/library/RxODE/include  -I/opt/R/arm64/include -I/usr/local/include -Xclang -fopenmp   -fPIC  -falign-functions=64 -Wall -g -O2  -c /Users/Fara/model1.d/model1.c -o /Users/Fara/model1.d/model1.o
/Users/Fara/model1.d/model1.c:388:2: warning: variable 'urea_concentration_out_DescLoH' set but not used [-Wunused-but-set-variable]
        urea_concentration_out_DescLoH,
        ^
/Users/Fara/model1.d/model1.c:446:2: warning: variable 'urea_concentration_in_CD' set but not used [-Wunused-but-set-variable]
        urea_concentration_in_CD,
        ^
/Users/Fara/model1.d/model1.c:386:2: warning: variable 'Na_concentration_out_DescLoH' set but not used [-Wunused-but-set-variable]
        Na_concentration_out_DescLoH,
        ^
/Users/Fara/model1.d/model1.c:447:2: warning: variable 'glucose_concentration_in_CD' set but not used [-Wunused-but-set-variable]
        glucose_concentration_in_CD,
        ^
/Users/Fara/model1.d/model1.c:444:2: warning: variable 'osmolality_in_CD' set but not used [-Wunused-but-set-variable]
        osmolality_in_CD,
        ^
/Users/Fara/model1.d/model1.c:445:2: warning: variable 'Na_concentration_in_CD' set but not used [-Wunused-but-set-variable]
        Na_concentration_in_CD,
        ^
/Users/Fara/model1.d/model1.c:441:2: warning: variable 'urea_in_CD' set but not used [-Wunused-but-set-variable]
        urea_in_CD,
        ^
/Users/Fara/model1.d/model1.c:438:2: warning: variable 'DCT_Na_reabs_fraction' set but not used [-Wunused-but-set-variable]
        DCT_Na_reabs_fraction,
        ^
/Users/Fara/model1.d/model1.c:65:2: warning: variable 'aldosterone_concentration' set but not used [-Wunused-but-set-variable]
        aldosterone_concentration,
        ^
/Users/Fara/model1.d/model1.c:154:2: warning: variable 'net_filtration_pressure' set but not used [-Wunused-but-set-variable]
        net_filtration_pressure,
        ^
/Users/Fara/model1.d/model1.c:426:2: warning: variable 'osmolality_in_DCT' set but not used [-Wunused-but-set-variable]
        osmolality_in_DCT,
        ^
/Users/Fara/model1.d/model1.c:424:2: warning: variable 'urea_concentration_in_DCT' set but not used [-Wunused-but-set-variable]
        urea_concentration_in_DCT,
        ^
/Users/Fara/model1.d/model1.c:425:2: warning: variable 'glucose_concentration_in_DCT' set but not used [-Wunused-but-set-variable]
        glucose_concentration_in_DCT,
        ^
/Users/Fara/model1.d/model1.c:422:2: warning: variable 'osmoles_in_DCT' set but not used [-Wunused-but-set-variable]
        osmoles_in_DCT,
        ^
/Users/Fara/model1.d/model1.c:151:2: warning: variable 'temp' set but not used [-Wunused-but-set-variable]
        temp,
        ^
/Users/Fara/model1.d/model1.c:423:2: warning: variable 'Na_concentration_in_DCT' set but not used [-Wunused-but-set-variable]
        Na_concentration_in_DCT,
        ^
/Users/Fara/model1.d/model1.c:410:2: warning: variable 'LoH_reabs_fraction' set but not used [-Wunused-but-set-variable]
        LoH_reabs_fraction,
        ^
/Users/Fara/model1.d/model1.c:356:2: warning: variable 'PT_Na_outflow' set but not used [-Wunused-but-set-variable]
        PT_Na_outflow,
        ^
/Users/Fara/model1.d/model1.c:354:2: warning: variable 'osmolality_out_s2' set but not used [-Wunused-but-set-variable]
        osmolality_out_s2,
        ^
/Users/Fara/model1.d/model1.c:522:2: warning: variable 'P_in_lh_asc_mmHg' set but not used [-Wunused-but-set-variable]
        P_in_lh_asc_mmHg,
        ^
/Users/Fara/model1.d/model1.c:355:2: warning: variable 'osmolality_out_s3' set but not used [-Wunused-but-set-variable]
        osmolality_out_s3,
        ^
/Users/Fara/model1.d/model1.c:353:2: warning: variable 'osmolality_out_s1' set but not used [-Wunused-but-set-variable]
        osmolality_out_s1,
        ^
/Users/Fara/model1.d/model1.c:350:2: warning: variable 'urea_concentration_out_s1' set but not used [-Wunused-but-set-variable]
        urea_concentration_out_s1,
        ^
/Users/Fara/model1.d/model1.c:351:2: warning: variable 'urea_concentration_out_s2' set but not used [-Wunused-but-set-variable]
        urea_concentration_out_s2,
        ^
/Users/Fara/model1.d/model1.c:517:2: warning: variable 'P_in_dt_mmHg' set but not used [-Wunused-but-set-variable]
        P_in_dt_mmHg,
        ^
/Users/Fara/model1.d/model1.c:179:2: warning: variable 'albumin_excretion_rate' set but not used [-Wunused-but-set-variable]
        albumin_excretion_rate,
        ^
/Users/Fara/model1.d/model1.c:513:2: warning: variable 'P_in_cd_mmHg' set but not used [-Wunused-but-set-variable]
        P_in_cd_mmHg,
        ^
/Users/Fara/model1.d/model1.c:358:2: warning: variable 'normalized_PT_reabsorption_density' set but not used [-Wunused-but-set-variable]
        normalized_PT_reabsorption_density,
        ^
/Users/Fara/model1.d/model1.c:541:2: warning: variable 'P_in_pt_s2_mmHg' set but not used [-Wunused-but-set-variable]
        P_in_pt_s2_mmHg,
        ^
/Users/Fara/model1.d/model1.c:368:2: warning: variable 'Urea_concentration_in_DescLoH' set but not used [-Wunused-but-set-variable]
        Urea_concentration_in_DescLoH,
        ^
/Users/Fara/model1.d/model1.c:369:2: warning: variable 'glucose_concentration_in_DescLoH' set but not used [-Wunused-but-set-variable]
        glucose_concentration_in_DescLoH,
        ^
/Users/Fara/model1.d/model1.c:537:2: warning: variable 'P_in_pt_s3_mmHg' set but not used [-Wunused-but-set-variable]
        P_in_pt_s3_mmHg,
        ^
/Users/Fara/model1.d/model1.c:367:2: warning: variable 'Na_concentration_in_DescLoH' set but not used [-Wunused-but-set-variable]
        Na_concentration_in_DescLoH,
        ^
/Users/Fara/model1.d/model1.c:526:2: warning: variable 'P_in_lh_des_mmHg' set but not used [-Wunused-but-set-variable]
        P_in_lh_des_mmHg,
        ^
/Users/Fara/model1.d/model1.c:618:2: warning: variable 'UGE' set but not used [-Wunused-but-set-variable]
        UGE,
        ^
/Users/Fara/model1.d/model1.c:621:2: warning: variable 'cumWaterExcretion' set but not used [-Wunused-but-set-variable]
        cumWaterExcretion,
        ^
/Users/Fara/model1.d/model1.c:492:2: warning: variable 'Pc_pt_s2' set but not used [-Wunused-but-set-variable]
        Pc_pt_s2,
        ^
/Users/Fara/model1.d/model1.c:620:2: warning: variable 'cumNaExcretion' set but not used [-Wunused-but-set-variable]
        cumNaExcretion,
        ^
/Users/Fara/model1.d/model1.c:479:2: warning: variable 'CD_fractional_Na_reabs' set but not used [-Wunused-but-set-variable]
        CD_fractional_Na_reabs,
        ^
/Users/Fara/model1.d/model1.c:478:2: warning: variable 'DCT_fractional_Na_reabs' set but not used [-Wunused-but-set-variable]
        DCT_fractional_Na_reabs,
        ^
/Users/Fara/model1.d/model1.c:326:2: warning: variable 'PT_Na_reabs_fraction' set but not used [-Wunused-but-set-variable]
        PT_Na_reabs_fraction,
        ^
/Users/Fara/model1.d/model1.c:622:2: warning: variable 'cumCreatinineExcretion' set but not used [-Wunused-but-set-variable]
        cumCreatinineExcretion,
        ^
/Users/Fara/model1.d/model1.c:480:2: warning: variable 'CD_OM_fractional_water_reabs' set but not used [-Wunused-but-set-variable]
        CD_OM_fractional_water_reabs,
        ^
/Users/Fara/model1.d/model1.c:307:2: warning: variable 'osmotic_diuresis_effect_pt' set but not used [-Wunused-but-set-variable]
        osmotic_diuresis_effect_pt,
        ^
/Users/Fara/model1.d/model1.c:336:2: warning: variable 'urea_reabsorption_fraction' set but not used [-Wunused-but-set-variable]
        urea_reabsorption_fraction,
        ^
/Users/Fara/model1.d/model1.c:315:2: warning: variable 'e_pt_sodreab_adj' set but not used [-Wunused-but-set-variable]
        e_pt_sodreab_adj,
        ^
/Users/Fara/model1.d/model1.c:347:2: warning: variable 'glucose_concentration_out_s1' set but not used [-Wunused-but-set-variable]
        glucose_concentration_out_s1,
        ^
/Users/Fara/model1.d/model1.c:314:2: warning: variable 'total_SGLT2_Na_reabs' set but not used [-Wunused-but-set-variable]
        total_SGLT2_Na_reabs,
        ^
/Users/Fara/model1.d/model1.c:348:2: warning: variable 'glucose_concentration_out_s2' set but not used [-Wunused-but-set-variable]
        glucose_concentration_out_s2,
        ^
/Users/Fara/model1.d/model1.c:343:2: warning: variable 'PT_water_reabs_fraction' set but not used [-Wunused-but-set-variable]
        PT_water_reabs_fraction,
        ^
/Users/Fara/model1.d/model1.c:345:2: warning: variable 'Na_concentration_out_s2' set but not used [-Wunused-but-set-variable]
        Na_concentration_out_s2,
        ^
/Users/Fara/model1.d/model1.c:344:2: warning: variable 'Na_concentration_out_s1' set but not used [-Wunused-but-set-variable]
        Na_concentration_out_s1,
        ^
/Users/Fara/model1.d/model1.c:222:2: warning: variable 'L_pt' set but not used [-Wunused-but-set-variable]
        L_pt,
        ^
/Users/Fara/model1.d/model1.c:454:2: warning: variable 'CD_Na_reabs_fraction' set but not used [-Wunused-but-set-variable]
        CD_Na_reabs_fraction,
        ^
/Users/Fara/model1.d/model1.c:455:2: warning: variable 'ADH_water_permeability_old' set but not used [-Wunused-but-set-variable]
        ADH_water_permeability_old,
        ^
/Users/Fara/model1.d/model1.c:134:2: warning: variable 'renal_blood_flow_ml_hr' set but not used [-Wunused-but-set-variable]
        renal_blood_flow_ml_hr,
        ^
/Users/Fara/model1.d/model1.c:601:2: warning: variable 'F_out_dt_delay' set but not used [-Wunused-but-set-variable]
        F_out_dt_delay,
        ^
/Users/Fara/model1.d/model1.c:474:2: warning: variable 'PT_fractional_water_reabs' set but not used [-Wunused-but-set-variable]
        PT_fractional_water_reabs,
        ^
/Users/Fara/model1.d/model1.c:475:2: warning: variable 'LoH_fractional_Na_reabs' set but not used [-Wunused-but-set-variable]
        LoH_fractional_Na_reabs,
        ^
/Users/Fara/model1.d/model1.c:476:2: warning: variable 'LoH_fractional_urea_reabs' set but not used [-Wunused-but-set-variable]
        LoH_fractional_urea_reabs,
        ^
/Users/Fara/model1.d/model1.c:477:2: warning: variable 'LoH_fractional_water_reabs' set but not used [-Wunused-but-set-variable]
        LoH_fractional_water_reabs,
        ^
/Users/Fara/model1.d/model1.c:470:2: warning: variable 'FENA' set but not used [-Wunused-but-set-variable]
        FENA,
        ^
/Users/Fara/model1.d/model1.c:202:2: warning: variable 'vasopressin_concentration' set but not used [-Wunused-but-set-variable]
        vasopressin_concentration,
        ^
/Users/Fara/model1.d/model1.c:471:2: warning: variable 'PT_fractional_glucose_reabs' set but not used [-Wunused-but-set-variable]
        PT_fractional_glucose_reabs,
        ^
/Users/Fara/model1.d/model1.c:280:2: warning: variable 'cd_scale' set but not used [-Wunused-but-set-variable]
        cd_scale,
        ^
/Users/Fara/model1.d/model1.c:472:2: warning: variable 'PT_fractional_Na_reabs' set but not used [-Wunused-but-set-variable]
        PT_fractional_Na_reabs,
        ^
/Users/Fara/model1.d/model1.c:473:2: warning: variable 'PT_fractional_urea_reabs' set but not used [-Wunused-but-set-variable]
        PT_fractional_urea_reabs,
        ^
/Users/Fara/model1.d/model1.c:467:2: warning: variable 'Na_balance' set but not used [-Wunused-but-set-variable]
        Na_balance,
        ^
/Users/Fara/model1.d/model1.c:469:2: warning: variable 'water_balance' set but not used [-Wunused-but-set-variable]
        water_balance,
        ^
/Users/Fara/model1.d/model1.c:462:2: warning: variable 'osmolality_out_CD_after_osmotic_reabsorption' set but not used [-Wunused-but-set-variable]
        osmolality_out_CD_after_osmotic_reabsorption,
        ^
/Users/Fara/model1.d/model1.c:463:2: warning: variable 'glucose_concentration_after_urea_reabsorption' set but not used [-Wunused-but-set-variable]
        glucose_concentration_after_urea_reabsorption,
        ^
/Users/Fara/model1.d/model1.c:1883:2: warning: variable 'C_vasopressin_delay' set but not used [-Wunused-but-set-variable]
        C_vasopressin_delay,
        ^
/Users/Fara/model1.d/model1.c:1884:2: warning: variable 'F0_TGF' set but not used [-Wunused-but-set-variable]
        F0_TGF,
        ^
/Users/Fara/model1.d/model1.c:1881:2: warning: variable 'C_co_error' set but not used [-Wunused-but-set-variable]
        C_co_error,
        ^
/Users/Fara/model1.d/model1.c:1882:2: warning: variable 'C_Na_error' set but not used [-Wunused-but-set-variable]
        C_Na_error,
        ^
/Users/Fara/model1.d/model1.c:1887:2: warning: variable 'C_P_oncotic' set but not used [-Wunused-but-set-variable]
        C_P_oncotic,
        ^
/Users/Fara/model1.d/model1.c:1888:2: warning: variable 'C_rbf' set but not used [-Wunused-but-set-variable]
        C_rbf,
        ^
/Users/Fara/model1.d/model1.c:1885:2: warning: variable 'C_tgf_reset' set but not used [-Wunused-but-set-variable]
        C_tgf_reset,
        ^
/Users/Fara/model1.d/model1.c:1886:2: warning: variable 'C_P_bowmans' set but not used [-Wunused-but-set-variable]
        C_P_bowmans,
        ^
/Users/Fara/model1.d/model1.c:1900:2: warning: variable 'cumCreatinineExcretion' set but not used [-Wunused-but-set-variable]
        cumCreatinineExcretion,
        ^
/Users/Fara/model1.d/model1.c:1899:2: warning: variable 'cumWaterExcretion' set but not used [-Wunused-but-set-variable]
        cumWaterExcretion,
        ^
/Users/Fara/model1.d/model1.c:1898:2: warning: variable 'cumNaExcretion' set but not used [-Wunused-but-set-variable]
        cumNaExcretion,
        ^
/Users/Fara/model1.d/model1.c:1897:2: warning: variable 'creatinine_synthesis_rate' set but not used [-Wunused-but-set-variable]
        creatinine_synthesis_rate,
        ^
/Users/Fara/model1.d/model1.c:1903:2: warning: variable 'C_ruge' set but not used [-Wunused-but-set-variable]
        C_ruge;
        ^
/Users/Fara/model1.d/model1.c:1902:2: warning: variable 'SGLT2_inhibition' set but not used [-Wunused-but-set-variable]
        SGLT2_inhibition,
        ^
/Users/Fara/model1.d/model1.c:1901:2: warning: variable 'C_sglt2_delay' set but not used [-Wunused-but-set-variable]
        C_sglt2_delay,
        ^
/Users/Fara/model1.d/model1.c:1892:2: warning: variable 'C_rsna' set but not used [-Wunused-but-set-variable]
        C_rsna,
        ^
/Users/Fara/model1.d/model1.c:1891:2: warning: variable 'C_md_flow' set but not used [-Wunused-but-set-variable]
        C_md_flow,
        ^
/Users/Fara/model1.d/model1.c:1890:2: warning: variable 'C_rihp' set but not used [-Wunused-but-set-variable]
        C_rihp,
        ^
/Users/Fara/model1.d/model1.c:1889:2: warning: variable 'renal_interstitial_hydrostatic_pressure' set but not used [-Wunused-but-set-variable]
        renal_interstitial_hydrostatic_pressure,
        ^
/Users/Fara/model1.d/model1.c:1896:2: warning: variable 'UGE' set but not used [-Wunused-but-set-variable]
        UGE,
        ^
/Users/Fara/model1.d/model1.c:1895:2: warning: variable 'C_pt_water' set but not used [-Wunused-but-set-variable]
        C_pt_water,
        ^
/Users/Fara/model1.d/model1.c:1894:2: warning: variable 'CD_PN_loss_rate' set but not used [-Wunused-but-set-variable]
        CD_PN_loss_rate,
        ^
/Users/Fara/model1.d/model1.c:1893:2: warning: variable 'C_rsna2' set but not used [-Wunused-but-set-variable]
        C_rsna2,
        ^
/Users/Fara/model1.d/model1.c:1873:2: warning: variable 'Q_water' set but not used [-Wunused-but-set-variable]
        Q_water,
        ^
/Users/Fara/model1.d/model1.c:1874:2: warning: variable 'C_na_excretion_na_amount' set but not used [-Wunused-but-set-variable]
        C_na_excretion_na_amount,
        ^
/Users/Fara/model1.d/model1.c:1875:2: warning: variable 'C_na_intake_na_amount' set but not used [-Wunused-but-set-variable]
        C_na_intake_na_amount,
        ^
/Users/Fara/model1.d/model1.c:1876:2: warning: variable 'Q_Na' set but not used [-Wunused-but-set-variable]
        Q_Na,
        ^
/Users/Fara/model1.d/model1.c:1877:2: warning: variable 'C_tgf' set but not used [-Wunused-but-set-variable]
        C_tgf,
        ^
/Users/Fara/model1.d/model1.c:1878:2: warning: variable 'C_aldo_secretion' set but not used [-Wunused-but-set-variable]
        C_aldo_secretion,
        ^
/Users/Fara/model1.d/model1.c:1879:2: warning: variable 'F_out_dt_delay' set but not used [-Wunused-but-set-variable]
        F_out_dt_delay,
        ^
/Users/Fara/model1.d/model1.c:1868:2: warning: variable 'AngI' set but not used [-Wunused-but-set-variable]
        AngI,
        ^
/Users/Fara/model1.d/model1.c:1869:2: warning: variable 'AngII' set but not used [-Wunused-but-set-variable]
        AngII,
        ^
/Users/Fara/model1.d/model1.c:1880:2: warning: variable 'C_cardiac_output_delayed' set but not used [-Wunused-but-set-variable]
        C_cardiac_output_delayed,
        ^
/Users/Fara/model1.d/model1.c:1870:2: warning: variable 'AT2_bound_AngII' set but not used [-Wunused-but-set-variable]
        AT2_bound_AngII,
        ^
/Users/Fara/model1.d/model1.c:1871:2: warning: variable 'C_water_intake_ecf_volume' set but not used [-Wunused-but-set-variable]
        C_water_intake_ecf_volume,
        ^
/Users/Fara/model1.d/model1.c:1872:2: warning: variable 'C_urine_flow_ecf_volume' set but not used [-Wunused-but-set-variable]
        C_urine_flow_ecf_volume,
        ^
107 warnings generated.
clang -arch arm64 -I"/Library/Frameworks/R.framework/Resources/include" -DNDEBUG -I/Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/library/RxODE/include  -I/opt/R/arm64/include -I/usr/local/include -Xclang -fopenmp   -fPIC  -falign-functions=64 -Wall -g -O2  -c /Users/Fara/model1.d/call_dvode.c -o /Users/Fara/model1.d/call_dvode.o
clang -arch arm64 -dynamiclib -Wl,-headerpad_max_install_names -undefined dynamic_lookup -single_module -multiply_defined suppress -L/Library/Frameworks/R.framework/Resources/lib -L/opt/R/arm64/lib -L/usr/local/lib -lomp -o /Users/Fara/model1.d/model1.so /Users/Fara/model1.d/model1.o /Users/Fara/model1.d/call_dvode.o -L/Library/Frameworks/R.framework/Versions/4.2-arm64/Resources/library/RxODE/libs/ -lodeaux -lgfortran -F/Library/Frameworks/R.framework/.. -framework R -Wl,-framework -Wl,CoreFoundation
ld: library not found for -lgfortran
clang: error: linker command failed with exit code 1 (use -v to see invocation)
make: *** [/Users/Fara/model1.d/model1.so] Error 1
Error in cmpMgr$compile() : 
  error loading dll file /Users/Fara/model1.d/model1.so
> 

[billdenney]

That error looks like you need to install gfortran or its development libraries.

ld: library not found for -lgfortran

Since you note that you're in an Ubuntu virtual machine, I think that the solution is the following pair of commands:

sudo apt-get update
sudo apt-get install gfortran

[mattfidler]

If you are trying in your mac, use the M1 CRAN supported compilers:

https://github.com/fxcoudert/gfortran-for-macOS/releases

[jfndiaye]

Yes I remember that I had installed it from there. But I have uninstalled it with

sudo rm -rf /usr/local/gfortran /usr/local/bin/gfortran
sudo pkgutil --forget com.gnu.gfortran

and then reinstalled it back and it shows me the same issue.
I have checked the gfortran and get :

$ gfortran -v
Using built-in specs.
COLLECT_GCC=gfortran
COLLECT_LTO_WRAPPER=/usr/local/gfortran/libexec/gcc/aarch64-apple-darwin21/12.1.0/lto-wrapper
Target: aarch64-apple-darwin21
Configured with: ../gcc-12-branch/configure --prefix=/usr/local/gfortran --with-gmp=/Users/fx/devel/gcc/build_package/deps --with-zstd=/Users/fx/devel/gcc/build_package/deps --with-sysroot=/Library/Developer/CommandLineTools/SDKs/MacOSX12.sdk --build=aarch64-apple-darwin21 --enable-languages=ada,c,c++,fortran,jit,lto,objc,obj-c++ --with-system-zlib
Thread model: posix
Supported LTO compression algorithms: zlib zstd
gcc version 12.1.0 (GCC)

[mattfidler]

I usually point to the data.table instructions for MacOS; I currently do not own one, and now the M1 chip has come out I can't really emulate it either.

https://github.com/Rdatatable/data.table/wiki/Installation#enable-openmp-for-macos

[mattfidler]

I would also note that since you have a container that runs this, it may be the easiest option.

Setting the tool-chain up for a mac can be done many ways with a variety of results. On the other hand, there is only one sanctioned way in windows, and the os takes care of the tool-chain for linux, so they are much easier to handle.

[jfndiaye]

Yes since it works with the virtual machine, I'll use it for now.
Thank you all for your help.
Best Regards,