Results 121 to 130 of about 132,673 (266)
Sleep disturbance in mental health problems and neurodegenerative disease
Kirstie N Anderson1 Andrew J Bradley2,3 1Department of Neurology, Newcastle Upon Tyne Hospitals NHS Trust, Newcastle Upon Tyne, UK; 2Eli Lilly and Company Limited, Lilly House, Basingstoke, UK; 3Institute of Neuroscience, Newcastle University, Newcastle ...
Anderson KN, Bradley AJ
core
A closed‐loop brain–machine interface with a PFAPT hydrogel electrode identifies prefrontal θ‐band as a neuropathic pain biomarker. The hydrogel enables stable 28 d ECoG recording and delivers θ‐triggered cortical stimulation, alleviating pain and affective behaviors in rats via bidirectional regulation of inflammation and central sensitization ...
Yun Ji +17 more
wiley +1 more source
ABSTRACT This study aims to explore the influence of Wine Tourism (WT) on the Sustainable Performance (SP) of wineries in Spain. It particularly investigates how Corporate Social Legitimacy (CSL) and Green Innovation (GI) may act as intermediary factors in this relationship.
Javier Martínez‐Falcó +3 more
wiley +1 more source
The present study investigated how life stress and sleep disturbance impact depressive symptoms among Chinese (N = 185) and Japanese (N = 464) workers. Based on a hypothesis that sleep disturbance can cause depression, a statistical model is established,
Eiko Matsuda, Mariko Kikutani
doaj +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
Assessing the Impact of Two Sleep Interventions on ‘Normal’ Children’s Sleep Practices [PDF]
Insufficient sleep duration in preschool children has been associated with adverse health consequences, including increased risk of obesity; impaired reaction time, attention, memory and behaviour regulation and reduced academic performance. Very little
NEWARK, MEGAN,ELIZABETH
core
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta +3 more
wiley +1 more source
Diurnal preference and sleep quality: same genes? A study of Young Adult twins
The aims of this study were to examine the genetic and environmental influences on diurnal preference and sleep quality, the association between these phenotypes, the genetic and environmental influences on this association, and the magnitude of overlap ...
Eley, Thalia C. +19 more
core +1 more source
This work presents a bio‐inspired computing framework for Parkinson's disease analog recognition using electroencephalogram signals. Temporally encoded EEG features stimulate a mycelium‐inspired memristive reservoir, where disease‐related patterns emerge through physical spatiotemporal dynamics.
Ioannis K. Chatzipaschalis +5 more
wiley +1 more source
Cognitive impairment following COVID‐19 infection is common and risk factors remain poorly understood. Sleep disturbance increases risk of cognitive impairment in the general population, and sleep disturbance is common after COVID‐19.
Ayah I. Eltoum +4 more
doaj +1 more source

