Coronary artery disease prediction using Bayesian-optimized support vector machine with feature selection [0.03%]
基于贝叶斯优化支持向量机的冠状动脉疾病预测研究
Abdul Zahir Baratpur,Hamed Vahdat-Nejad,Emrah Arslan et al.
Abdul Zahir Baratpur et al.
Introduction: Cardiovascular diseases, particularly Coronary Artery Disease (CAD), remain a leading cause of mortality worldwide. Invasive angiography, while accurate, is costly and risky. This study proposes a non-invasi...
Tatiana R Bogatenko,Konstantin S Sergeev,Galina I Strelkova
Tatiana R Bogatenko
The study of neuron models and their networks is a riveting topic for many researchers worldwide because it allows to glimpse the fundamental processes using accessible methodology. The paper considers dynamics of small networks of Hodkin-H...
Towards standardizing mitral transcatheter edge-to-edge repair with deep-learning algorithm: a comprehensive multi-model strategy [0.03%]
基于深度学习算法的二尖瓣夹合修复术的标准化研究：多种影像模态的综合策略
Silvia Corona,Théo Godefroy,Olivier Tastet et al.
Silvia Corona et al.
Background: Severe mitral valve regurgitation requires comprehensive evaluation for optimal treatment. Initial screening uses transthoracic echocardiography (TTE), followed by transesophageal echocardiography (TEE) to det...
Navneet Roshan,Rupamanjari Majumder
Navneet Roshan
Sudden cardiac death (SCD) is often precipitated by reentrant arrhythmias such as ventricular tachycardia (VT) and ventricular fibrillation (VF), whose underlying dynamics are frequently sustained by spiral waves of electrical activity. Dis...
Analysing complex excitation patterns in cardiac tissue using wave event networks [0.03%]
基于波事件网络的复杂心脏激动模式分析
Hans Friedrich Von Koeller,Alexander Schlemmer,Stefan Luther et al.
Hans Friedrich Von Koeller et al.
Cardiac dynamics is governed by complex electrical wave patterns, with disruptions leading to pathological conditions like atrial or ventricular fibrillation. Experimentally electrical excitation waves can be made visible by optical mapping...
Metastability in the mixing/demixing of two species with reciprocally concentration-dependent diffusivity [0.03%]
浓度相关扩散系数的两组分混合/分离体系中的亚稳态现象研究
Alexander B Neiman,Xiaochen Dong,Benjamin Lindner
Alexander B Neiman
It has been shown before that two species of diffusing particles can separate from each other by the mechanism of reciprocally concentration-dependent diffusivity: the presence of one species amplifies the diffusion coefficient of the respe...
Raymond Roy,Kiranpreet Sidhu,Gabriel Byczynski et al.
Raymond Roy et al.
In this perspective, we introduce the Precision Principle as a unifying theoretical framework to explain self-organization across biological systems. Drawing from neurobiology, systems theory, and computational modeling, we propose that pre...
Case Report: network physiology markers of inter-muscular interactions indicate reversal of age decline with exercise training [0.03%]
案例报告：肌肉间相互作用的网络生理标志表明锻炼可逆转衰老的影响
Sergi Garcia-Retortillo,Óscar Abenza,Ladda Thiamwong et al.
Sergi Garcia-Retortillo et al.
Aging is associated with a decline in inter-muscular coordination and overall functional capacity. While the benefits of exercise on individual physiological systems are well established, it remains unclear whether regular training can also...
Population coding and self-organized ring attractors in recurrent neural networks for continuous variable integration [0.03%]
递归神经网络中的人口编码与自组织环状吸引子连续变量整合中的应用
Roman Kononov,Vasilii Tiselko,Oleg Maslennikov et al.
Roman Kononov et al.
Representing and integrating continuous variables is a fundamental capability of the brain, often relying on ring attractor circuits that maintain a persistent bump of activity. To investigate how such structures can self-organize, we train...
A Q-analysis package for higher-order interactions analysis in Python and its application in network physiology [0.03%]
一种用于Python中高阶交互分析的Q分析包及其在生理网络中的应用
Nikita Smirnov,Semen Kurkin,Alexander E Hramov
Nikita Smirnov
Introduction: Real-world networks possess complex, higher-order structures that are not captured by traditional pairwise analysis methods. Q-analysis provides a powerful mathematical framework based on simplicial complexe...