The constrained-disorder principle defines the functions of systems in nature [0.03%]
约束无序原理定义了自然系统功能
Yaron Ilan
Yaron Ilan
The Constrained Disorder Principle (CDP) defines all systems in nature by their degree of inherent variability. Per the CDP, the intrinsic variability is mandatory for their proper function and is dynamically changed based on pressures. The...
Emerging cancer therapies: targeting physiological networks and cellular bioelectrical differences with non-thermal systemic electromagnetic fields in the human body - a comprehensive review [0.03%]
人体非热全身电磁场的新兴癌症疗法：针对生理网络和细胞生物电差异的全面综述
Frederico P Costa,Bertram Wiedenmann,Eckehard Schöll et al.
Frederico P Costa et al.
A steadily increasing number of publications support the concept of physiological networks, and how cellular bioelectrical properties drive cell proliferation and cell synchronization. All cells, especially cancer cells, are known to posses...
Significant nocturnal wakefulness after sleep onset in metabolic dysfunction-associated steatotic liver disease [0.03%]
与代谢功能障碍相关肝脂肪变性疾病的睡眠潜伏期后显著夜间觉醒
Sofia Schaeffer,Andrijana Bogdanovic,Talitha Hildebrandt et al.
Sofia Schaeffer et al.
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a multisystemic disease with a multifactorial pathogenesis involving dietary, environmental, and genetic factors. Previous mouse models suggested that circadian misalignmen...
Aline Herlopian
Aline Herlopian
To date, there is no neurophysiologic or neuroimaging biomarker that can accurately delineate the epileptogenic network. High-frequency oscillations (HFO) have been proposed as biomarkers for epileptogenesis and the epileptogenic network. T...
Constructing representative group networks from tractography: lessons from a dynamical approach [0.03%]
基于轨迹追踪法构建代表性群体网络：来自动力学方法的启示
Eleanna Kritikaki,Matteo Mancini,Diana Kyriazis et al.
Eleanna Kritikaki et al.
Human group connectome analysis relies on combining individual connectome data to construct a single representative network which can be used to describe brain organisation and identify differences between subject groups. Existing methods a...
Physiological signal analysis and open science using the Julia language and associated software [0.03%]
基于Julia语言及配套软件的生理信号分析和开放科学
George Datseris,Jacob S Zelko
George Datseris
In this mini review, we propose the use of the Julia programming language and its software as a strong candidate for reproducible, efficient, and sustainable physiological signal analysis. First, we highlight available software and Julia co...
Jia Li,Roman Bauer,Ilias Rentzeperis et al.
Jia Li et al.
The nervous system, especially the human brain, is characterized by its highly complex network topology. The neurodevelopment of some of its features has been described in terms of dynamic optimization rules. We discuss the principle of ada...
A statistical analysis method for probability distributions in Erdös-Rényi random networks with preferential cutting-rewiring operation [0.03%]
带优先切断重连操作的Erdos-Renyi随机网络中概率分布的统计分析方法
Yu Qian,Jiahui Cao,Jing Han et al.
Yu Qian et al.
The study of specific physiological processes from the perspective of network physiology has gained recent attention. Modeling the global information integration among the separated functionalized modules in structural and functional brain ...
On preserving anatomical detail in statistical shape analysis for clustering: focus on left atrial appendage morphology [0.03%]
关注左心耳形态的统计形体分析中的聚类解剖细节保留方法研究
Matthew T Lee,Vincenzo Martorana,Rafizul Islam Md et al.
Matthew T Lee et al.
Introduction: Statistical shape analysis (SSA) with clustering is often used to objectively define and categorise anatomical shape variations. However, studies until now have often focused on simplified anatomical reconst...
Exploring the origins of switching dynamics in a multifunctional reservoir computer [0.03%]
探究多功能蓄水池计算机切换动力学的起源
Andrew Flynn,Andreas Amann
Andrew Flynn
The concept of multifunctionality has enabled reservoir computers (RCs), a type of dynamical system that is typically realized as an artificial neural network, to reconstruct multiple attractors simultaneously using the same set of trained ...