A mathematical model for inflammation and demyelination in multiple sclerosis [0.03%]
多发性硬化症炎症和脱髓鞘的数学模型
Adrianne Jenner,Georgia Weatherley,Federico Frascoli
Adrianne Jenner
Multiple sclerosis (MS) is an incurable, life-long disease caused by the demyelination of neurons in the brain and spine. MS is often characterized by relapses in inflammation and demyelination, followed by periods of remission. Symptoms ca...
Tetsuhiro S Hatakeyama,Kunihiko Kaneko,Kunihiro Ohta et al.
Tetsuhiro S Hatakeyama et al.
Crises such as starvation pose a serious threat to microbial populations, prompting cells to adopt survival strategies, such as cooperation or competition. Although cooperation among clones is common, recent studies have shown that yeast ce...
Folgert Karsdorp,Anne Kandler,Mike Kestemont et al.
Folgert Karsdorp et al.
Comparative analyses of diversity in human populations often rely on historical, archival and observational data, which are systematically shaped by uneven documentation, preservation and research attention. Such collection bias can distort...
Natural take-off flight performance is repeatable and scalable in mixed flock tit species [0.03%]
混合群落中的自然起飞性能可重复且可扩展（以雀鸟为例）
Kyu Min Huh,Marco Klein Heerenbrink,Steven J Portugal et al.
Kyu Min Huh et al.
Modelling small bird flights is challenging, as small birds (
Energetic benefits of social information for movement in patchy landscapes [0.03%]
生境片段化景观中社会信息对动物移动行为的能耗效益研究
Eleonora Gatti,Andreagiovanni Reina,Hannah Williams
Eleonora Gatti
Movement is costly, and animals are under strong selective pressure to move efficiently; however, in patchy, dynamic landscapes, decision-making is inherently uncertain. We quantify the energy savings achieved by using up-to-date informatio...
Determining social mechanisms for sequential decision-making in a virtual pedestrian route choice experiment [0.03%]
基于虚拟行人路网的出行选择实验中的社会机制研究
Anna Sigalou,Yunhe Tong,Charlie Pilgrim et al.
Anna Sigalou et al.
Moving groups are routinely faced with a choice of different routes as part of their daily lives, such as choosing between exits from a building. Differences in moving speeds and environmental constraints often lead to individuals being abl...
Agentic AI integrated with scientific knowledge: laboratory validation in systems biology [0.03%]
具有科学知识的人工智能代理：系统生物学实验室验证
Daniel Brunnsåker,Alexander Howard Gower,Prajakta Naval et al.
Daniel Brunnsåker et al.
Automation is transforming scientific discovery by enabling systematic exploration of complex hypotheses. Large language models (LLMs) perform well across diverse tasks and promise to accelerate research, but often struggle with logical str...
Optimal control for anti-abeta treatment in Alzheimer's disease using a reaction-diffusion model [0.03%]
使用反应扩散模型对阿尔茨海默病抗Abeta治疗的最优控制
Sun Lee,Chiu-Yen Kao,Zhiyuan Li et al.
Sun Lee et al.
Alzheimer's disease (AD) is a progressive neurodegenerative disorder that severely impairs survival and quality of life. While anti-amyloid beta (Aβ) therapies can slow disease progression, their efficacy depends on personalized dosing tha...
Rob Sunnucks,Emma L Davis,Kat S Rock
Rob Sunnucks
Stochastic simulations are often used to model real-world phenomena such as infectious disease dynamics. In this modelling, differing strategies are often compared to one another by comparing the model outputs of each strategy. Hash-based m...
Collective ant transport outperforms gravity-based solvers on complex puzzles [0.03%]
集体蚂蚁运输在复杂难题上胜过基于重力的求解器
Tabea Dreyer,Ehud Fonio,Ofer Feinerman
Tabea Dreyer
Collective cognition, in which groups display enhanced problem-solving abilities compared with individuals, is a hallmark of ant behaviour. For instance, in navigation tasks, such as the piano movers' problem, a short-term memory-like direc...