Robust weighted averaging accounts for recruitment into collective motion in human crowds [0.03%]
稳健的加权平均可解释人类人群集体运动中的招募现象
Trenton D Wirth,William H Warren
Trenton D Wirth
Agent-based models of 'flocking' and 'schooling' have shown that a weighted average of neighbor velocities, with weights that decay gradually with distance, yields emergent collective motion. Weighted averaging thus offers a potential mecha...
Ariel Jaffe,Yuval Kluger,Ofir Lindenbaum et al.
Ariel Jaffe et al.
Word2vec introduced by Mikolov et al. is a word embedding method that is widely used in natural language processing. Despite its success and frequent use, a strong theoretical justification is still lacking. The main contribution of our pap...
Monitoring and Forecasting COVID-19: Heuristic Regression, Susceptible-Infected-Removed Model and, Spatial Stochastic [0.03%]
COVID-19的监测与预测：启发式回归、易感感染清除模型和空间随机模型
P L de Andres,L de Andres-Bragado,L Hoessly
P L de Andres
The COVID-19 pandemic has had worldwide devastating effects on human lives, highlighting the need for tools to predict its development. The dynamics of such public-health threats can often be efficiently analyzed through simple models that ...
Collective Cell Migration in a Fibrous Environment: A Hybrid Multiscale Modelling Approach [0.03%]
纤维环境中集体细胞迁移的多尺度建模方法研究
Szabolcs Suveges,Ibrahim Chamseddine,Katarzyna A Rejniak et al.
Szabolcs Suveges et al.
The specific structure of the extracellular matrix (ECM), and in particular the density and orientation of collagen fibres, plays an important role in the evolution of solid cancers. While many experimental studies discussed the role of ECM...
Double Stimulation in a Spiking Neural Network Model of the Midbrain Superior Colliculus [0.03%]
脑桥上丘尖峰神经网络模型中的双重刺激响应机制研究
Bahadir Kasap,A John van Opstal
Bahadir Kasap
The midbrain superior colliculus (SC) is a crucial sensorimotor interface in the generation of rapid saccadic gaze shifts. For every saccade it recruits a large population of cells in its vectorial motor map. Supra-threshold electrical micr...
Time for a Drink? A Mathematical Model of Non-human Primate Alcohol Consumption [0.03%]
什么时候可以喝酒？非人类灵长类动物饮酒的数学模型
Sharon Moore,Ami Radunskaya,Elizabeth Zollinger et al.
Sharon Moore et al.
We simulate a non-human primate's alcohol drinking pattern in order to better understand temporal patterning of alcoholic drinks that can lead to the excessive intakes associated with alcohol use disorder. A stochastic mathematical model of...
A Robust and Efficient Numerical Method for RNA-Mediated Viral Dynamics [0.03%]
一种稳健高效的RNA介导的病毒动力学数值方法
Vladimir Reinharz,Alexander Churkin,Harel Dahari et al.
Vladimir Reinharz et al.
The multiscale model of hepatitis C virus (HCV) dynamics, which includes intracellular viral RNA (vRNA) replication, has been formulated in recent years in order to provide a new conceptual framework for understanding the mechanism of actio...
Methods for measuring swallowing pressure variability using high-resolution manometry [0.03%]
基于高分辨率测压的吞咽压变异性的测量方法研究进展
Corinne A Jones,Ellen L Meisner,Courtney K Broadfoot et al.
Corinne A Jones et al.
Any movement performed repeatedly will be executed with inter-trial variability. Oropharyngeal swallowing is a complex sensorimotor action, and swallow-to-swallow variability can have consequences that impact swallowing safety. Our aim was ...
Investigating the Correspondence of Clinical Diagnostic Grouping With Underlying Neurobiological and Phenotypic Clusters Using Unsupervised Machine Learning [0.03%]
利用无监督机器学习研究临床诊断分组与潜在神经生物学和表型亚群的一致性
Xinyu Zhao,D Rangaprakash,Bowen Yuan et al.
Xinyu Zhao et al.
Many brain-based disorders are traditionally diagnosed based on clinical interviews and behavioral assessments, which are recognized to be largely imperfect. Therefore, it is necessary to establish neuroimaging-based biomarkers to improve d...
Opening Pandora's box: caveats with using toolbox-based approaches in mathematical modeling in biology [0.03%]
开启潘多拉的盒子：使用基于工具箱的方法进行生物数学建模的注意事项
Mathematical modeling is a powerful method to understand how biological systems work. By creating a mathematical model of a given phenomenon one can investigate which model assumptions are needed to explain the phenomenon and which assumpti...