A reduced model for the long-term effects of physical activity on type 2 diabetes [0.03%]
身体活动对2型糖尿病长期影响的简化模型
Lea Multerer,Pierluigi Francesco De Paola,Marta Lenatti et al.
Lea Multerer et al.
Type 2 diabetes progresses slowly and may be reversed through lifestyle changes, but quantifying the long-term impact of regular physical activity remains challenging due to sparse longitudinal data. Mechanistic models offer a powerful tool...
Traveling Wave Formation Enables Strain Coexistence in a Spatial Model of Bacterial Cross-Feeding [0.03%]
行波形成使细菌互养模型中的菌株共存成为可能
Parsa Pakzad,Donald DeAngelis
Parsa Pakzad
Cross-feeding is a form of metabolic cooperation in microbial populations where one species or strain produces a byproduct that serves as a nutrient for another. This interaction can promote division of labor, resource efficiency, and speci...
A Wheel of Fortune: the eukaryotic cell cycle as a tetra-stable excitable system [0.03%]
命运之轮：真核细胞周期作为四稳态可激化系统
Calin-Mihai Dragoi
Calin-Mihai Dragoi
Progression through the eukaryotic cell cycle is governed by a complex biochemical network controlling the activity of cyclin-dependent kinases. Dynamically, the cell cycle control network can be viewed as a multi-stable system, in which no...
Impact of human adherence level to control measures on cystic echinococcosis transmission [0.03%]
人类遵守防控措施的程度对包虫病传播的影响研究
Xinmiao Rong,Fengyun Zhu
Xinmiao Rong
Cystic echinococcosis (CE) is a widespread zoonotic disease that poses a serious threat to both human health and livestock production. Its control effectiveness largely depends on human adherence. A game-theoretic epidemiological model is d...
Sirine Boucenna,Vasilis Dakos,Gaël Raoul
Sirine Boucenna
In the context of global warming, tree populations rely on two primary mechanisms of adaptation: phenotypic plasticity, which enables individuals to adjust their behavior in response to environmental stress, and genetic evolution, driven by...
Why does nature force the creation of proteobacteria community in the estuarine ecosystem? - A theoretical model [0.03%]
自然为何逼迫河口生态体系产生蛋白体细菌群体？--一个理论模型
Devdatta Adhikary,Sukdev Biswas,Arnab Banerjee et al.
Devdatta Adhikary et al.
Estuarine ecosystems are among the most dynamic and ecologically significant environments, shaped by intricate interactions among microbial communities, such as proteobacteria and their predator. Proteobacteria, owing to their remarkable to...
Replicator-mutator dynamics for public goods games with institutional incentives [0.03%]
具机构激励的公共物品博弈中的复制-变异动态
N Balabanova,M H Duong,T A Han
N Balabanova
Understanding the emergence and stability of cooperation in public goods games is important due to its applications in fields such as biology, economics, and social science. However, a gap remains in comprehending how mutations, both additi...
Bifurcation analysis and fear-induced reactions in non-refuged prey with cooperative hunting among predators: Deterministic and stochastic dynamics [0.03%]
无避难所猎物的分支分析和恐惧反应：捕食者间合作狩猎下的确定性和随机动力学研究
Subarna Roy,Abhijit Sarkar,Nazmul Sk et al.
Subarna Roy et al.
The impacts of fear, refuge-seeking behavior of prey, and modified cooperative hunting among predators are collectively included in a mathematical model to explore predator-prey dynamics. The stability of the system's equilibrium points and...
Calcium signalling in glioblastoma networks of different topologies and possible treatments [0.03%]
不同拓扑结构的胶质母细胞瘤网络中的钙信号转导及可能的治疗方法
Alexandra Shyntar,Thomas Hillen
Alexandra Shyntar
Glioblastoma cells form connected cell networks, utilizing tumor microtubes (TMs) to transmit calcium between cells. A new cell type called "periodic cell" is integral in sustaining calcium signalling in a glioblastoma network. Periodic cel...
A partition method for bounding continuous-time Markov chain models of general reaction network [0.03%]
一种对一般反应网络的连续时间马尔科夫链模型进行分割以求边界值的方法
Guillaume Ballif,Laurent Pfeiffer,Jakob Ruess
Guillaume Ballif
In this work, we present a general method to establish properties of multi-dimensional continuous-time Markov chains representing stochastic reaction networks. This method consists of grouping states together (via a partition of the state s...