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 13, 2024
1 parent 26f4ee7 commit 7919b40
Showing 1 changed file with 108 additions and 99 deletions.
207 changes: 108 additions & 99 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -9,148 +9,157 @@ 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 2024-10-06 00:50:54.
update was on 2024-10-13 00:50:38.

<div class="cell">

</div>

1. **A novel format of TNF-alpha binding affibody molecule ameliorate
coronary artery endothelial injury in a mouse model of Kawasaki
disease.**
1. **Analysis of postdisaster economy using high-resolution disaster
and economy simulations.**

Zhu J, Yu H, Xie L, Shuai D, Huang Z, Chen Y, Ni C, Jia C, Rong X,
Zhang L, Chu M.
Gill A, Lalith M, Hori M, Ogawa Y.

Int J Biol Macromol. 2024 Oct 2:136255. doi:
10.1016/j.ijbiomac.2024.136255. Online ahead of print.
Risk Anal. 2024 Oct 9. doi: 10.1111/risa.17662. Online ahead of
print.

> Herein, we examine the potential therapeutic capabilities of a
> novel type of TNFalpha-targeting agent based on an affibody
> molecule possessing fundamentally different properties than mAbs.
>
> The framework consists of three components: a physics-based
> simulator to simulate the disaster and estimate the response of
> the infrastructure; a tool that estimates the losses suffered by
> the infrastructure based on its response; and an agent-based
> economic mode …
2. **Cost-effectiveness of SARS-CoV-2 self-testing at routine
gatherings to minimize community-level infections in lower-middle
income countries: A mathematical modeling study.**
2. **Emergent ecology in a microscale model of the surface ocean.**

Hansen MA, Han AX, Chevalier JM, Klock E, Pandithakoralage H, Nooy
A, Ockhuisen T, Girdwood SJ, Lekodeba NA, Khan S, Jenkins HE,
Johnson CC, Sacks JA, Russell CA, Nichols BE.
Eigemann F, Hoffmann J, Schampera C, Liu S, Bolaños LM, Heemeyer M,
Carlson CA, Giovannoni S, Hellweger FL.

PLoS One. 2024 Oct 4;19(10):e0311198. doi:
10.1371/journal.pone.0311198. eCollection 2024.
mBio. 2024 Oct 9:e0237224. doi: 10.1128/mbio.02372-24. Online ahead
of print.

> Over the past four years, self-testing strategies have been an
> impactful tool for countries’ response to the COVID-19 pandemic,
> especially early on to mitigate the spread when vaccination and
> treatment options were limited. We used an agent-based
> mathematical mod
> Microbial processes operate at the microscale, which is not
> resolved by existing ecosystem models. Here, we present a novel
> model that simulates a 1 mL three-dimensional cube using a hybrid
> Lagrangian-Eulerian approach, at ecologically relevant timescales.
> …We pre
3. **Quantifying age-specific household contacts in Aotearoa New
Zealand for infectious disease modelling.**
3. **Reinforcement Learning Interventions on Boundedly Rational Human
Agents in Frictionful Tasks.**

Sullivan C, Senanayake P, Plank MJ.
Nofshin E, Swaroop S, Pan W, Murphy S, Doshi-Velez F.

R Soc Open Sci. 2024 Oct 2;11(10):240550. doi: 10.1098/rsos.240550.
eCollection 2024 Oct.
Proc Int Joint Conf Auton Agents Multiagent Syst. 2024
May;2024:1482-1491. Epub 2024 May 6.

> Here we use a comprehensive household composition dataset based on
> Aotearoa New Zealand census and administrative data to construct a
> household contact matrix and a synthetic population that can be
> used for modelling. We investigate the behaviour of a
> compartment-based and
> In these settings, the AI agent must personalize rapidly (before
> the individual disengages) and interpretably, to help us
> understand the behavioral interventions. In this paper, we
> introduce Behavior Model Reinforcement Learning (BMRL), a
> framework in which an AI agent int
4. **Probability of early infection extinction depends linearly on the
virus clearance rate.**
4. **Mathematical modelling for pandemic preparedness in Canada:
Learning from COVID-19.**

Juhász N, Bartha FA, Marzban S, Han R, Röst G.
Ogden NH, Acheson ES, Brown K, Champredon D, Colijn C, Diener A,
Dushoff J, Earn DJ, Gabriele-Rivet V, Gangbè M, Guillouzic S,
Hennessy D, Hongoh V, Hurford A, Kanary L, Li M, Ng V, Otto SP,
Papst I, Rees EE, Tuite A, MacLeod MR, Murall CL, Waddell L, Wasfi
R, Wolfson M.

R Soc Open Sci. 2024 Oct 2;11(10):240903. doi: 10.1098/rsos.240903.
eCollection 2024 Oct.
Can Commun Dis Rep. 2024 Oct 3;50(10):345-356. doi:
10.14745/ccdr.v50i10a03. eCollection 2024 Oct.

5. **Metabolic interactions shape emergent biofilm structures in a
conceptual model of gut mucosal bacterial communities.**
> BACKGROUND: The COVID-19 pandemic underlined the need for pandemic
> planning but also brought into focus the use of mathematical
> modelling to support public health decisions. The types of models
> needed (compartment, agent-based, importation) are describ …
Valiei A, Dickson A, Aminian-Dehkordi J, Mofrad MRK.
5. **Calibration of stochastic, agent-based neuron growth models with
approximate Bayesian computation.**

NPJ Biofilms Microbiomes. 2024 Oct 2;10(1):99. doi:
10.1038/s41522-024-00572-y.
Duswald T, Breitwieser L, Thorne T, Wohlmuth B, Bauer R.

> The gut microbiome plays a major role in human health; however,
> little is known about the structural arrangement of microbes and
> factors governing their distribution. In this work, we present an
> in silico agent-based model (ABM) to conceptually simulate the d …
J Math Biol. 2024 Oct 8;89(5):50. doi: 10.1007/s00285-024-02144-2.

6. **On the move: Influence of animal movements on count error during
drone surveys.**
> Understanding how genetically encoded rules drive and guide
> complex neuronal growth processes is essential to comprehending
> the brain’s architecture, and agent-based models (ABMs) offer a
> powerful simulation approach to further develop this
> understanding. … …
Schultz EA, Ellison-Neary N, Boudreau MR, Street GM, Jones LR, Evans
KO, Iglay RB.
6. **A Nitric Oxide-Sensing T1 Contrast Agent for In Vivo Molecular MR
Imaging of Inflammatory Disease.**

Ecol Evol. 2024 Sep 29;14(10):e70287. doi: 10.1002/ece3.70287.
eCollection 2024 Oct.
Hong A, Vollett KDW, Cheng HM.

> However, drone-based surveys may also introduce counting errors,
> especially when monitoring mobile animals. Using an agent-based
> model simulation approach, we evaluated the error associated with
> counting a single animal across various drone flight patterns un …
ACS Sens. 2024 Oct 8. doi: 10.1021/acssensors.4c01604. Online ahead
of print.

7. **Exploring Trade-Offs for Online Mental Health Matching:
Agent-Based Modeling Study.**
> In this study, we present a magnetic resonance imaging (MRI)
> contrast agent based on a manganese porphyrin for specific imaging
> of NO. This agent is activated by NO, binds to tissue protein,
> accumulates so long as NO is actively produced, and confers a
> substantial b …
Liu Y, Fang A, Moriarty G, Firman C, Kraut RE, Zhu H.
7. **A bidirectional pedestrian macroscopic speed model construction
based on pedestrian microscopic simulation experiments.**

JMIR Form Res. 2024 Oct 1;8:e58241. doi: 10.2196/58241.
Gao X, Zhang H, Qi H, He B.

> OBJECTIVE: In this study, we collaborated with one of the world’s
> largest OMHCs; our contribution is to show the application of
> agent-based modeling for the design of online community matching
> algorithms. We developed an agent-based simulation f …
PLoS One. 2024 Oct 7;19(10):e0311538. doi:
10.1371/journal.pone.0311538. eCollection 2024.

8. **SMoRe GloS: An efficient and flexible framework for inferring
global sensitivity of agent-based model parameters.**
> In order to explore the possibility of using microscopic
> pedestrian flow simulations for macroscopic speed modeling of
> pedestrian flows, a series of two-way pedestrian cross-flow
> simulation experiments were designed. …A series of simulations are
> built and performed on th …
Bergman DR, Jackson T, Jain HV, Norton KA.
8. **Design, simulation and feasibility of the innovative agricultural
warehouse receipt system through dynamic programming and agent-based
models.**

bioRxiv \[Preprint\]. 2024 Sep 22:2024.09.18.613723. doi:
10.1101/2024.09.18.613723.
Riazi M, Mojaverian SM, Shirzadi Laskookalayeh S, Mirzaei A.

> Agent-based models (ABMs) have become essential tools for
> simulating complex biological, ecological, and social systems
> where emergent behaviors arise from the interactions among
> individual agents. …Remarkably, our method also estimates
> sensitivities for AB …
Sci Rep. 2024 Oct 5;14(1):23182. doi: 10.1038/s41598-024-74519-w.

9. **Feature selection integrating Shapley values and mutual
information in reinforcement learning: An application in the
prediction of post-operative outcomes in patients with end-stage
renal disease.**
> The design process incorporated the FAO-provided (2009) warehouse
> receipt system development, considering the experiences of various
> countries and the institutional and financial regulations specific
> to Iran. Additionally, a dynamic programming model was used to
> simulate t …
Kim SH, Park SY, Seo H, Woo J.
9. **A novel format of TNF-alpha binding affibody molecule ameliorate
coronary artery endothelial injury in a mouse model of Kawasaki
disease.**

Comput Methods Programs Biomed. 2024 Sep 21;257:108416. doi:
10.1016/j.cmpb.2024.108416. Online ahead of print.
Zhu J, Yu H, Xie L, Shuai D, Huang Z, Chen Y, Ni C, Jia C, Rong X,
Zhang L, Chu M.

> METHODS: We proposed a multi-agent feature selection model based
> on a comprehensive reward function that combines classification
> model performance, Shapley additive explanations values, and the
> mutual information. …CONCLUSION: This study contributes important
> rese …
Int J Biol Macromol. 2024 Oct 2;281(Pt 1):136255. doi:
10.1016/j.ijbiomac.2024.136255. Online ahead of print.

10. **Integrating social learning and network formation for social
tipping towards a sustainable future.**
> Herein, we examine the potential therapeutic capabilities of a
> novel type of TNFalpha-targeting agent based on an affibody
> molecule possessing fundamentally different properties than mAbs.
>
von Flüe L, Vogt S.
10. **Cost-effectiveness of SARS-CoV-2 self-testing at routine
gatherings to minimize community-level infections in lower-middle
income countries: A mathematical modeling study.**

Curr Opin Psychol. 2024 Sep 24;60:101915. doi:
10.1016/j.copsyc.2024.101915. Online ahead of print.
Hansen MA, Han AX, Chevalier JM, Klock E, Pandithakoralage H, Nooy
A, Ockhuisen T, Girdwood SJ, Lekodeba NA, Khan S, Jenkins HE,
Johnson CC, Sacks JA, Russell CA, Nichols BE.

PLoS One. 2024 Oct 4;19(10):e0311198. doi:
10.1371/journal.pone.0311198. eCollection 2024.

> Understanding these dynamics is crucial for promoting a cultural
> shift towards sustainability, yet our grasp of how normative
> transformations occur remains limited. In this paper, we simulate
> an agent-based model in which agents choose between maintaining
> the
> Over the past four years, self-testing strategies have been an
> impactful tool for countries’ response to the COVID-19 pandemic,
> especially early on to mitigate the spread when vaccination and
> treatment options were limited. We used an agent-based
> mathematical mod
## Code of Conduct

Expand Down

0 comments on commit 7919b40

Please sign in to comment.