Skip to content

Commit

Permalink
Commit from GitHub Actions (Build it)
Browse files Browse the repository at this point in the history
  • Loading branch information
gvegayon committed Oct 29, 2023
1 parent e948ec2 commit e8565f7
Showing 1 changed file with 100 additions and 103 deletions.
203 changes: 100 additions & 103 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -9,153 +9,150 @@ document updated once a week or whenever there’s a push or pull request.
It performs a search on PubMed looking for the <a
href="https://pubmed.ncbi.nlm.nih.gov/?term=agent-based+model&amp;sort=date"
target="_blank">latest papers about Agent-Based Models</a>. The last
update was on 2023-10-22 00:37:07.
update was on 2023-10-29 00:36:59.

<div class="cell">

</div>

1. **Using neural networks to calibrate agent based models enables
improved regional evidence for vaccine strategy and policy.**
1. **Real-Time Online Goal Recognition in Continuous Domains via Deep
Reinforcement Learning.**

Chopra A, Rodriguez A, Prakash A, Raskar R, Kingsley T.
Fang Z, Chen D, Zeng Y, Wang T, Xu K.

Vaccine. 2023 Oct 17:S0264-410X(23)01016-2. doi:
10.1016/j.vaccine.2023.08.060. Online ahead of print.
Entropy (Basel). 2023 Oct 4;25(10):1415. doi: 10.3390/e25101415.

> Distribution and administration strategy are critical to
> successful population immunization efforts. Agent-based modeling
> (ABM) can reflect the complexity of real-world populations and can
> experimentally evaluate vaccine strategy and policy. …Our first
> epid
> First, accurately modeling the behavior of the observed agent
> requires significant computational resources. …In this paper, we
> propose an advanced and efficient real-time online goal
> recognition algorithm based on deep reinforcement learning in
> continuous d
2. **An opponent model for agent-based shared decision-making via a
genetic algorithm.**
2. **Leveraging social networks for identification of people living
with HIV who are virally unsuppressed.**

Lin KB, Wei Y, Liu Y, Hong FP, Yang YM, Lu P.
Cummins B, Johnson K, Schneider JA, Del Vecchio N, Moshiri N,
Wertheim JO, Goyal R, Skaathun B.

Front Psychol. 2023 Oct 3;14:1124734. doi:
10.3389/fpsyg.2023.1124734. eCollection 2023.
AIDS. 2023 Oct 27. doi: 10.1097/QAD.0000000000003767. Online ahead
of print.

> METHODS: In this study, we integrated a negotiation strategy that
> predicts opponent preference using a genetic algorithm with an SDM
> auto-negotiation model constructed based on fuzzy constraints,
> thereby enhancing the effectiveness of SDM by addressing the
> problems
> OBJECTIVES: This study investigates primary peer-referral
> engagement (PRE) strategies to assess which strategy results in
> engaging higher numbers of people living with HIV (PLWH) who are
> virally unsuppressed. DESIGN: We develop a modeling study that
> simulates an HIV epidem
3. **Active XY model on a substrate: Density fluctuations and phase
ordering.**
3. **Active School Commuting in School Children: A Narrative Review of
Current Evidence and Future Research Implications.**

Haldar A, Sarkar A, Chatterjee S, Basu A.
Lam HY, Jayasinghe S, Ahuja KDK, Hills AP.

Phys Rev E. 2023 Sep;108(3-1):034114. doi:
10.1103/PhysRevE.108.034114.
Int J Environ Res Public Health. 2023 Oct 16;20(20):6929. doi:
10.3390/ijerph20206929.

> The spins rotate actively in response to the local density
> fluctuations and local phase differences, on a solid substrate. We
> investigate this system by Monte Carlo simulations of an
> agent-based model, which we set up, complemented by the
> hydrodynamic theory
> Despite the limitations in intervention scope and quality, notable
> advancements in research techniques, such as multilevel regression
> and agent-based modelling, have been identified. Effective
> promotion of ASC to tackle childhood physical inactivity requires
>
4. **Examining buprenorphine diversion through a harm reduction lens:
an agent-based modeling study.**
4. **Design and simulation of a cross-regional collaborative recycling
system for secondary resources: A case of lead-acid batteries.**

Adams JW, Duprey M, Khan S, Cance J, Rice DP, Bobashev G.
Tian X, Tan H, Xie J, Xia Z, Liu Y.

Harm Reduct J. 2023 Oct 17;20(1):150. doi:
10.1186/s12954-023-00888-6.
J Environ Manage. 2023 Oct 23;348:119181. doi:
10.1016/j.jenvman.2023.119181. Online ahead of print.

> METHODS: Our study aim was to estimate the impact of buprenorphine
> diversion on opioid overdose using an agent-based model calibrated
> to North Carolina. We simulated the progression of opioid misuse
> and opioid-related outcomes over a 5-year period. …CONCLUS
> This paper introduces Geographic Information Systems into an
> agent-based cross-regional recycling model, and employs lead-acid
> batteries as an example. The model quantitatively displays the
> evolution of recycling markets in 31 provinces in Mainland Chi
5. **Lévy movements and a slowly decaying memory allow efficient
collective learning in groups of interacting foragers.**
5. **The role of hydrodynamics in collective motions of fish schools
and bioinspired underwater robots.**

Falcón-Cortés A, Boyer D, Aldana M, Ramos-Fernández G.
Ko H, Lauder G, Nagpal R.

PLoS Comput Biol. 2023 Oct 16;19(10):e1011528. doi:
10.1371/journal.pcbi.1011528. Online ahead of print.
J R Soc Interface. 2023 Oct;20(207):20230357. doi:
10.1098/rsif.2023.0357. Epub 2023 Oct 25.

> However, how individual behavior affects the emergence of
> collective states of learning is still poorly understood. Here,
> with the help of a spatially explicit agent-based model where
> individuals transfer information to their peers, we analyze the
> effects on
> Underwater swarms span several orders of magnitude in size, from
> coral larvae and krill to tunas and dolphins. Agent-based
> algorithms have modelled collective movements of animal groups by
> use of social forces, which approximate the behaviour of
> individual an
6. **An Eco-evolutionary Model on Surviving Lysogeny Through Grounding
and Accumulation of Prophages.**
6. **Pleiotropy alleviates the fitness costs associated with resource
allocation trade-offs in immune signaling networks.**

Sudhakari PA, Ramisetty BCM.
Martin R, Tate AT.

Microb Ecol. 2023 Oct 16. doi: 10.1007/s00248-023-02301-y. Online
ahead of print.
bioRxiv. 2023 Oct 10:2023.10.06.561276. doi:
10.1101/2023.10.06.561276. Preprint.

> These observations indicate that most putative prophages are
> relics of past bacteria-phage conflicts; they are “grounded”
> prophages that cannot excise from the bacterial genome. Prophage
> distribution analysis based on the sequence homology suggested the
> random distribution
> To investigate factors that could influence the evolutionary
> maintenance of pleiotropy in gene networks, we developed an
> agent-based model of co-evolution between parasites and hosts.
> Hosts comprise signaling networks that must faithfully complete a
> developme
7. **Agent-based simulations improve abundance estimation.**
7. **Rapid prototyping of models for COVID-19 outbreak detection in
workplaces.**

Sólymos P.
Abell I, Zachreson C, Conway E, Geard N, McVernon J, Waring T, Baker
C.

Biol Futur. 2023 Oct 15. doi: 10.1007/s42977-023-00183-2. Online
ahead of print.
BMC Infect Dis. 2023 Oct 23;23(1):713. doi:
10.1186/s12879-023-08713-y.

> I argue that truly understanding, validating, and refining the
> field techniques and quantitative methods used to estimate
> abundance can largely benefit from agent-based simulations. I
> illustrate this through the example of bird point counts and
> introduce the softwar …
> Models are developed with a focus on providing relevant results to
> policy makers, and these models are continually updated and
> improved as new questions are posed. …We then develop a more
> complex Agent Based Model, which was used to test the r …
8. **Virtual Design of 3D-Printed Bone Tissue Engineered Scaffold Shape
Using Mechanobiological Modeling: Relationship of Scaffold Pore
Architecture to Bone Tissue Formation.**
8. **Evaluating the incentive for soil organic carbon sequestration
from carinata production in the Southeast United States.**

Alshammari A, Alabdah F, Wang W, Cooper G.
Ullah KM, Oladosu GA, Crooks A.

Polymers (Basel). 2023 Sep 28;15(19):3918. doi:
10.3390/polym15193918.
J Environ Manage. 2023 Oct 21;348:119418. doi:
10.1016/j.jenvman.2023.119418. Online ahead of print.

> Bone grafts (autographs or allografts) can be used but they have
> many limitations, meaning that polymer-based bone tissue
> engineered scaffolds (tissue engineering) are a more promising
> solution. …A virtual design framework has been created utilizing a
> mechanical stress f
> Two agricultural management scenarios - business as usual (BaU)
> and a climate-smart (no-till) practice - were simulated using an
> agent-based modeling approach to account for farmers’ carinata
> adoption rates within their context of traditional crop rotations,
>
9. **Recovery of dynamical similarity from lossy representations of
collective behavior of midge swarms.**
9. **Uncertainty in boundedly rational household adaptation to
environmental shocks.**

Aung E, Abaid N, Jantzen B.
Taberna A, Filatova T, Hadjimichael A, Noll B.

Chaos. 2023 Oct 1;33(10):103114. doi: 10.1063/5.0146161.
Proc Natl Acad Sci U S A. 2023 Oct 31;120(44):e2215675120. doi:
10.1073/pnas.2215675120. Epub 2023 Oct 23.

> Understanding emergent collective phenomena in biological systems
> is a complex challenge due to the high dimensionality of state
> variables and the inability to directly probe agent-based
> interaction rules. Therefore, if one wants to model a system for
> which t
> Despite the growing calls to integrate realistic human behavior in
> sustainability science models, the representative rational agent
> prevails. This is especially problematic for climate change
> adaptation that relies on actions at various scales: from
> governments to i
10. **A community-endorsed open-source lexicon for contrast agent-based
perfusion MRI: A consensus guidelines report from the ISMRM Open
Science Initiative for Perfusion Imaging (OSIPI).**
10. **Tissue Forge: Interactive biological and biophysics simulation
environment.**

Dickie BR, Ahmed Z, Arvidsson J, Bell LC, Buckley DL, Debus C,
Fedorov A, Floca R, Gutmann I, van der Heijden RA, van Houdt PJ,
Sourbron S, Thrippleton MJ, Quarles C, Kompan IN; on behalf of The
Perfusion Study Group of the ISMRM.
Sego TJ, Sluka JP, Sauro HM, Glazier JA.

Magn Reson Med. 2023 Oct 13. doi: 10.1002/mrm.29840. Online ahead of
print.
PLoS Comput Biol. 2023 Oct 23;19(10):e1010768. doi:
10.1371/journal.pcbi.1010768. Online ahead of print.

> The lexicon was developed by Taskforce 4.2 of OSIPI to provide
> standardized definitions of commonly used quantities, models, and
> analysis processes with the aim of reducing reporting variability.
> …The initial scope of the lexicon was set by the taskforce and
> defined such
> Tissue Forge is an open-source interactive environment for
> particle-based physics, chemistry and biology modeling and
> simulation. Tissue Forge allows users to create, simulate and
> explore models and virtual experiments based on soft condensed
> matter ph
## Code of Conduct

Expand Down

0 comments on commit e8565f7

Please sign in to comment.