Elijah Paul,Gleb Pogudin,William Qin et al.
Elijah Paul et al.
Boolean networks are a popular modeling framework in computational biology to capture the dynamics of molecular networks, such as gene regulatory networks. It has been observed that many published models of such networks are defined by regu...
Separable Nonlinear Least-Squares Parameter Estimation for Complex Dynamic Systems [0.03%]
复杂动态系统的可分离非线性最小二乘参数估计
Itai Dattner,Harold Ship,Eberhard O Voit
Itai Dattner
Nonlinear dynamic models are widely used for characterizing processes that govern complex biological pathway systems. Over the past decade, validation and further development of these models became possible due to data collected via high-th...
Developmentally Changing Attractor Dynamics of Manual Actions with Objects in Late Infancy [0.03%]
婴儿晚期使用物体的手动行动的发展变化吸引子动力学
Jeremy I Borjon,Drew H Abney,Linda B Smith et al.
Jeremy I Borjon et al.
Human infants interact with the environment through a growing and changing body and their manual actions provide new opportunities for exploration and learning. In the current study, a dynamical systems approach was used to quantify and cha...
Multiobjective Genetic Programming Can Improve the Explanatory Capabilities of Mechanism-Based Models of Social Systems [0.03%]
多目标遗传程序编制可以提高基于机制的社会系统模型的解释能力
Tuong M Vu,Charlotte Buckley,Hao Bai et al.
Tuong M Vu et al.
The generative approach to social science, in which agent-based simulations (or other complex systems models) are executed to reproduce a known social phenomenon, is an important tool for realist explanation. However, a generative model, wh...
Optimal Design of Single-Cell Experiments within Temporally Fluctuating Environments [0.03%]
时变环境中单细胞实验的最优设计
Zachary R Fox,Gregor Neuert,Brian Munsky
Zachary R Fox
Modern biological experiments are becoming increasingly complex, and designing these experiments to yield the greatest possible quantitative insight is an open challenge. Increasingly, computational models of complex stochastic biological s...
Brenda A Wilson
Brenda A Wilson
Biosecurity is emerging as a major global health priority for which innovative and unprecedented solutions are needed. Biosecurity is a challenging biocomplexity problem involving multifaceted processes such as interactions between humans a...
Analyzing Knowledge Retrieval Impairments Associated with Alzheimer's Disease Using Network Analyses [0.03%]
运用网络分析研究阿尔茨海默病相关的知识检索障碍
Jeffrey C Zemla,Joseph L Austerweil
Jeffrey C Zemla
A defining characteristic of Alzheimer's disease is difficulty in retrieving semantic memories, or memories encoding facts and knowledge. While it has been suggested that this impairment is caused by a degradation of the semantic store, the...
Socioemotional Dynamics of Emotion Regulation and Depressive Symptoms: A Person-Specific Network Approach [0.03%]
基于个体特异性的网络模型探究情感调节与抑郁症状之间的社会情绪动力学关系
Xiao Yang,Nilam Ram,Scott D Gest et al.
Xiao Yang et al.
Socioemotional processes engaged in daily life may afford and/or constrain individuals' emotion regulation in ways that affect psychological health. Recent findings from experience sampling studies suggest that persistence of negative emoti...
Allostatic Load as a Complex Clinical Construct: A Case-Based Computational Modeling Approach [0.03%]
作为复杂临床概念的代偿负荷：基于案例的计算模型方法
J Galen Buckwalter,Brian Castellani,Bruce McEwen et al.
J Galen Buckwalter et al.
Allostatic load (AL) is a complex clinical construct, providing a unique window into the cumulative impact of stress. However, due to its inherent complexity, AL presents two major measurement challenges to conventional statistical modeling...