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Epilepsy is a neurological disorder characterized by seizures and epileptic events intertwined with religious and personal beliefs since prehistoric times. This review paper explores the historical context and challenges in defining…

Neurons and Cognition · Quantitative Biology 2025-02-25 Shreya Shah , Manan Shah , Bhavin Parekh

Network-based methods are playing an increasingly important role in drug design. Our main question in this paper was whether the efficiency of drug target proteins to spread perturbations in the human interactome is larger if the binding…

Molecular Networks · Quantitative Biology 2015-05-14 Aron R. Perez-Lopez , Kristof Z. Szalay , Denes Turei , Dezso Modos , Katalin Lenti , Tamas Korcsmaros , Peter Csermely

This paper applies risk analysis to medical problems, through the properties of nonlinear responses (convex or concave). It shows 1) necessary relations between the nonlinearity of dose-response and the statistical properties of the…

Quantitative Methods · Quantitative Biology 2018-08-02 Nassim Nicholas Taleb

The term "interference" has been used to describe any setting in which one subject's exposure may affect another subject's outcome. We use causal diagrams to distinguish among three causal mechanisms that give rise to interference. The…

Methodology · Statistics 2015-03-11 Elizabeth L. Ogburn , Tyler J. VanderWeele

The concept of resilience embodies the quest towards the ability to sustain shocks, to suffer from these shocks as little as possible, for the shortest time possible, and to recover with the full functionalities that existed before the…

Physics and Society · Physics 2014-08-26 Tatyana Kovalenko , Didier Sornette

Purpose: Prior research has established perceived pressure and life satisfaction as important correlates of depression, yet their causal interplay remains insufficiently identified. This study aims to disentangle whether satisfaction acts…

Applications · Statistics 2026-01-13 Zhaojin Nan

The deterrent effect of military alliances is well documented and widely accepted. However, such work has typically assumed that alliances are exogenous. This is problematic as alliances may simultaneously influence the probability of…

Applications · Statistics 2019-08-21 Benjamin Campbell

The global mental health crisis is a pressing concern, with college students particularly vulnerable to rising mental health disorders. The widespread use of smartphones among young adults, while offering numerous benefits, has also been…

Computers and Society · Computer Science 2025-05-30 Wei Xuan , Meghna Roy Chowdhury , Yi Ding , Yixue Zhao

The human connectome at the level of fiber tracts between brain regions has been shown to differ in patients with brain disorders compared to healthy control groups. Nonetheless, there is a potentially large number of different network…

Neurons and Cognition · Quantitative Biology 2013-10-16 Marcus Kaiser

Drug Side-Effects (DSEs) have a high impact on public health, care system costs, and drug discovery processes. Predicting the probability of side-effects, before their occurrence, is fundamental to reduce this impact, in particular on drug…

Quantitative Methods · Quantitative Biology 2022-02-17 Pietro Bongini , Franco Scarselli , Monica Bianchini , Giovanna Maria Dimitri , Niccolò Pancino , Pietro Liò

Noise has both auditory and extra-auditory effects. Some of the most deleterious extra-auditory effects of noise are those leading to sleep disturbances. These disturbances seem to be related to both endogenous (physical parameters) and…

Neurons and Cognition · Quantitative Biology 2008-12-18 Arnaud Rabat

As Large Language Models (LLMs) have advanced, they have brought forth new challenges, with one of the prominent issues being LLM hallucination. While various mitigation techniques are emerging to address hallucination, it is equally…

Artificial Intelligence · Computer Science 2023-09-21 Vipula Rawte , Prachi Priya , S. M Towhidul Islam Tonmoy , S M Mehedi Zaman , Amit Sheth , Amitava Das

Diamagnetism, in which the magnetisation in a medium opposes the direction of an applied magnetic field, is a weak but familiar effect in a wide class of materials. Being weak it is also a linear response to any applied field. The problem…

Quantum Physics · Physics 2025-09-15 Niclas Westerberg , Stephen M. Barnett

In order to develop more precise and functional affective applications, it is necessary to achieve a balance between the psychology and the engineering applied to emotions. Signals from the central and peripheral nervous systems have been…

Human-Computer Interaction · Computer Science 2019-05-02 Jennifer Sorinas , Jose Manuel Ferrández , Eduardo Fernandez

Stroke is one of the leading causes of death and disability worldwide but it is believed to be highly preventable. The majority of stroke prevention focuses on targeting high-risk individuals but its is important to understand how the…

Computers and Society · Computer Science 2024-07-24 Elizabeth Hunter , John D. Kelleher

The ability to control LLMs' emulated emotional states and personality traits is essential for enabling rich, human-centered interactions in socially interactive settings. We introduce PsySET, a Psychologically-informed benchmark to…

Causal inference is widely used in various fields, such as biology, psychology and economics, etc. In observational studies, we need to balance the covariates before estimating causal effect. This study extends the one-dimensional entropy…

Methodology · Statistics 2022-05-19 Juan Chen , Yingchun Zhou

Flexible reconfiguration of human brain networks supports cognitive flexibility and learning. However, modulating flexibility to enhance learning requires an understanding of the relationship between flexibility and brain state. In an…

Neurons and Cognition · Quantitative Biology 2016-01-29 Richard F. Betzel , Theodore D. Satterthwaite , Joshua I. Gold , Danielle S. Bassett

Depression is a common yet serious mental disorder that affects millions of U.S. high schoolers every year. Still, accurate diagnosis and early detection remain significant challenges. In the field of public health, research shows that…

Machine Learning · Computer Science 2023-08-23 Nathan Zhong , Nikhil Yadav

Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Aspirin. Major…

Computational Engineering, Finance, and Science · Computer Science 2014-09-03 Yihui liu , Uwe Aickelin