Results 111 to 120 of about 24,693,491 (302)

A Framework for Megascale Agent Based Model Simulations on Graphics Processing Units [PDF]

Agent-based modeling is a technique for modeling dynamic systems from the bottom up. Individual elements of the system are represented computationally as agents.
Roshan M. D'Souza, Mikola Lysenko
core  

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

Time in discrete agent-based models of socio-economic systems [PDF]

We formulate the problem of computing time in discrete dynamical agent-based models in the context of socio-economic modeling. For such formulation, we outline a simple solution. This requires minimal extensions of the original untimed model.
Antoine Mandel, Nicola Botta, Cezar Ionescu   +2 more
core  

A Spatial Agent-Based Consumer Model: Maximizing and Satisfying Behavior within Multi-Store Market [PDF]

Journal of Systems Thinking in Practice
In this paper, we propose using a mixed genetic-floyd-warshall algorithm in combination with a Floyd-warshall algorithm to model the satisficing behaviour of consumers across spatially differentiated stores.
Omid Roozmand, DG Webster, Saeed Abdolhosseini   +2 more
doaj   +1 more source

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

FEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee, Mingming Tong, Anna L. Gloyn   +2 more
wiley   +1 more source

THE RESEARCH ON MULTI-AGENT SYSTEM BASED VIRTUAL ENTERPRISES MODELING APPROACH

, 2001
Modeling is one of the most important problems encountered in the field of research on virtual enterprises. Multi-agent system has become nowadays a paradigm for modeling and applications implementation.
Zhu YL(朱云龙), Li L(李莉), Xue JS(薛劲松)   +2 more
core  

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

Making Models Match: Replicating an Agent-Based Model [PDF]

Scientists have increasingly employed computer models in their work. Recent years have seen a proliferation of agent-based models in the natural and social sciences.
Uri Wilensky, William Rand
core  

Emerging experimental and computational methods for studying redox‐regulated structural transitions

FEBS Letters, EarlyView.
Redox reactions can reshape proteins and alter how they behave in cells, with important consequences for health and disease. This review explores emerging experimental and computational approaches for discovering these redox‐sensitive protein switches, revealing their structural effects, and predicting their behavior, opening new opportunities to ...
Tasneem Rass, Dana Reichmann, Gábor Erdős   +2 more
wiley   +1 more source

On the Limits of Agency in Agent-based Models

International Joint Conference on Autonomous Agents and Multiagent Systems
Agent-based modeling (ABM) offers powerful insights into complex systems, but its practical utility has been limited by computational constraints and simplistic agent behaviors, especially when simulating large populations. Recent advancements in large language models (LLMs) could enhance ABMs with adaptive agents, but their integration into large ...
Ayush Chopra, Shashank Kumar, Nurullah Giray Kuru, Ramesh Raskar, Arnau Quera-Bofarull   +4 more
openaire   +3 more sources