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In this paper, we present a unified framework for various bio-inspired models to better understand their structural and functional differences. We show that liquid-capacitance-extended models lead to interpretable behavior even in dense,…

Neural and Evolutionary Computing · Computer Science 2026-02-16 Mónika Farsang , Radu Grosu

Objective: To improve prediction of Chronic Kidney Disease (CKD) progression to End Stage Renal Disease (ESRD) using machine learning (ML) and deep learning (DL) models applied to an integrated clinical and claims dataset of varying…

Quantitative Methods · Quantitative Biology 2025-05-06 Yubo Li , Rema Padman

Serotonergic, noradrenergic and dopaminergic brainstem (including midbrain) neurons, often exhibit spontaneous and fairly regular spiking with frequencies of order a few Hz, though dopaminergic and noradrenergic neurons only exhibit such…

Neurons and Cognition · Quantitative Biology 2017-04-18 Henry C. Tuckwell , Ying Zhou , Nicholas J. Penington

Acute Kidney Injury (AKI), the abrupt decline in kidney function due to temporary or permanent injury, is associated with increased mortality, morbidity, length of stay, and hospital cost. Sometimes, simple interventions such as medication…

Machine Learning · Computer Science 2017-12-07 Sam Weisenthal , Haofu Liao , Philip Ng , Martin Zand

Pump-probe experiments performed on $\mathrm{K}_3\mathrm{C}_{60}$ have unveiled both optical and transport signatures of metastable light-induced superconductivity up to room temperature, far above $T_c$. Recent experiments have uncovered…

Superconductivity · Physics 2026-01-27 Sambuddha Chattopadhyay , Marios Michael , Andrea Cavalleri , Eugene Demler

Chronic Kidney Disease (CKD), where delayed recognition implies premature mortality, is currently experiencing a globally increasing incidence and high cost to health systems. Data mining allows discovering subtle patterns in CKD indicators…

Machine Learning · Computer Science 2023-06-21 Pedro A. Moreno-Sanchez

Autonomic nervous system is important for cardiac function regulation. Modeling of autonomic cardiac regulation can contribute to health tracking and disease management. This study proposed a mathematical model that simulates autonomic…

Medical Physics · Physics 2024-08-28 Runwei Lin , Frank Halfwerk , Dirk Donker , Gozewijn Dirk Laverman , Ying Wang

Recent trials of a neuronal pacemaker have shown that cardiac pumping efficiency increases when respiratory sinus arrhythmia (RSA) is artificially restored in animal models of heart failure. This novel device sheds new light on the…

Tissues and Organs · Quantitative Biology 2025-07-02 Josh Border , Andrew Lefevre , Vishal Jain , Alain Nogaret

Pulmonary arterial hypertension (PAH) is a progressive cardiopulmonary disease that leads to increased pulmonary pressures, vascular remodeling, and eventual right ventricular (RV) failure. Pediatric PAH remains understudied due to limited…

Objective: Hepatic encephalopathy (HE) is a potentially reversible brain dysfunction caused by liver failure. Altered synaptic plasticity is supposed to play a major role in the pathophysiology of HE. Here, we used paired associative…

BACKGROUND: An important goal of chronic obstructive pulmonary disease (COPD) treatment is to reduce the frequency of exacerbations. Some observations suggest a decline in exacerbation rates in clinical trials over time. A more systematic…

Applications · Statistics 2019-08-20 Stefan Andreas , Christian Röver , Judith Heinz , Sebastian Straube , Henrik Watz , Tim Friede

The complexity of a signal can be measured by the Recurrence period density entropy (RPDE) from the reconstructed phase space. We have chosen a window based RPDE method for the classification of signals, as RPDE is an average entropic…

Tissues and Organs · Quantitative Biology 2015-09-30 Sayan Mukherjee , Sanjay Kumar Palit , Santo Banerjee , M. R. K. Ariffin , Lamberto Rondoni , D. K. Bhattacharya

Background. Clinical parameters measured from gated single-photon emission computed tomography myocardial perfusion imaging (SPECT MPI) have value in predicting cardiac resynchronization therapy (CRT) patient outcomes, but still show…

Computer Vision and Pattern Recognition · Computer Science 2023-12-27 Kristoffer Larsena , Zhuo He , Chen Zhao , Xinwei Zhang , Quiying Sha , Claudio T Mesquitad , Diana Paeze , Ernest V. Garciaf , Jiangang Zou , Amalia Peix , Weihua Zhou

Parkinson's disease is marked by altered and increased firing characteristics of pathological oscillations in the brain. In other words, it causes abnormal synchronous oscillations and suppression during neurological processing. In order to…

Machine Learning · Computer Science 2023-01-02 Harsh Agarwal , Heena Rathore

The neuron consumes energy from ATP hydrolysis to maintain a far-from-equilibrium steady state inside the cell, thus all physiological functions inside the cell are modulated by thermodynamics. The neurons that manage information encoding,…

Neurons and Cognition · Quantitative Biology 2024-12-03 Jianwei Li , Simeng Yu , Mingye Guo , Xuewen Shen , Qi Ouyang , Fangting Li

Neurovascular coupling (NVC) refers to the process by which local neural activity, through energy consumption, induces changes in regional cerebral blood flow to meet the metabolic demands of neurons. Event-related studies have shown that…

Neurons and Cognition · Quantitative Biology 2025-06-16 Feng Yan , Xiaobin Wang , Yao Zhao , Shuyi Yang , Zhiren Wang

Atomic-scale disorder is conventionally regarded as detrimental to superconductivity; however, under specific conditions, it can enhance superconducting properties. Here, we investigate the role of substitutional disorder in Remeika-type…

Superconductivity · Physics 2026-02-27 Andrzej Ślebarski , Maciej M. Maśka

Chronic kidney disease (CKD) affects millions worldwide and progresses irreversibly through stages culminating in end-stage renal disease (ESRD) and death. Outcome trials in CKD traditionally employ time-to-first-event analyses using the…

Methodology · Statistics 2026-01-27 Jiren Sun , Tuo Wang , Yu Du

Cardiovascular diseases (CVDs) are notably prevalent among patients with obstructive sleep apnea (OSA), posing unique challenges in predicting CVD progression due to the intricate interactions of comorbidities. Traditional models typically…

Applications · Statistics 2024-07-02 Duy Nguyen , Ca Hoang , Phat K. Huynh , Tien Truong , Dang Nguyen , Abhay Sharma , Trung Q. Le
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