Results 111 to 120 of about 283,609 (300)

A sham-controlled trial of acupressure on the quality of sleep and life in haemodialysis patients [PDF]

open access: yes, 2016
Background Sleep disorder in haemodialysis patients can lead to disturbance in their psychosocial function and interpersonal relations, and reduced quality of life.
Arab, Z.   +5 more
core  

Repeated Disuse Atrophy Imprints a Molecular Memory in Skeletal Muscle: Transcriptional Resilience in Young Adults and Susceptibility in Aged Muscle

open access: yesAdvanced Science, EarlyView.
Repeated disuse imprints a molecular memory in skeletal muscle, conferring transcriptional resilience in young adults but exaggerated susceptibility in aged muscle, driven by epigenetic regulation of aerobic metabolism, mitochondrial and NAD+ pathways.
Daniel C. Turner   +14 more
wiley   +1 more source

Multimodal Wearable Biosensing Meets Multidomain AI: A Pathway to Decentralized Healthcare

open access: yesAdvanced Science, EarlyView.
Multimodal biosensing meets multidomain AI. Wearable biosensors capture complementary biochemical and physiological signals, while cross‐device, population‐aware learning aligns noisy, heterogeneous streams. This Review distills key sensing modalities, fusion and calibration strategies, and privacy‐preserving deployment pathways that transform ...
Chenshu Liu   +10 more
wiley   +1 more source

Discovering Interpretable Semantics from Radio Signals for Contactless Cardiac Monitoring

open access: yesAdvanced Science, EarlyView.
This study presents a semantic representation framework for clinically interpretable cardiac monitoring from contactless radio signals. It formulates radio semantic learning as an information‐bottleneck problem and approximates the objective via intra‐modal compression and cross‐modal alignment, structuring radio measurements into meaningful semantic ...
Jinbo Chen   +10 more
wiley   +1 more source

Wrinkle‐Adaptive Kirigami Wearables With Anisotropic Deformability for Sleep EEG Monitoring

open access: yesAdvanced Science, EarlyView.
This article introduces a wrinkle‐adaptive, kirigami‐structured wearable EEG patch that personalizes electrode‐skin conformity to stabilize the interface and enable wireless, high‐quality sleep monitoring. ABSTRACT Wearable electroencephalography (EEG) devices offer a promising solution for continuous brain monitoring outside laboratory settings ...
Jungmin Kim   +5 more
wiley   +1 more source

Distinct Biotypes of Visual Perception in Major Depressive Disorder

open access: yesAdvanced Science, EarlyView.
In a discover dataset (272 acute MDD patients), this work identifies a novel depression biotype characterized by impaired visual motion perception, using machine learning clustering. An independent dataset confirms the robustness of this biotype through cross‐validation and demonstrates its generalizability.
Zhuoran Cai   +13 more
wiley   +1 more source

Investigating the relationship between sleep disturbances and white matter hyperintensities in older adults on the Alzheimer's disease spectrum

open access: yesAlzheimer’s & Dementia: Diagnosis, Assessment & Disease Monitoring
INTRODUCTION While studies report that sleep disturbance can have negative effects on brain vasculature, its impact on cerebrovascular diseases such as white matter hyperintensities (WMHs) in beta‐amyloid‐positive older adults remains unexplored. METHODS
Farooq Kamal   +2 more
doaj   +1 more source

Wine Tourism as a Catalyst for Sustainable Performance: The Mediating Role of Corporate Legitimacy and Green Innovation

open access: yesAgribusiness, EarlyView.
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

AI in chemical engineering: From promise to practice

open access: yesAIChE Journal, EarlyView.
Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew   +4 more
wiley   +1 more source

Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach

open access: yesAdvanced Intelligent Discovery, EarlyView.
This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar   +5 more
wiley   +1 more source

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