Results 201 to 210 of about 58,990 (298)

Identifying Distinct Latent Profiles of Executive Functioning Among Adolescents and Adults With Anorexia Nervosa and Adolescent Healthy Controls

open access: yesEuropean Eating Disorders Review, EarlyView.
ABSTRACT Objective Research suggests executive functioning (EF) inefficiencies contribute to anorexia nervosa (AN) onset and maintenance. Identifying EF subtypes in adolescents and adults with AN compared to healthy controls (HC) may provide insights into differences in illness severity, risk for prolonged illness, and highlight who could respond best ...
Jiana Schnabel   +7 more
wiley   +1 more source

The Role of Digital Twin Technology in Enhancing Energy Efficiency in Buildings: A Systematic Literature Review

open access: yesEnergy Science &Engineering, EarlyView.
Digital Twin (DT) technology enhances building energy efficiency by enabling continuous monitoring, predictive maintenance, and operational optimization within Building Energy Management Systems. Through real‐time data integration and simulation, DTs provide dynamic feedback loops that optimize performance, reduce operational costs, and improve ...
Suqi Wang   +6 more
wiley   +1 more source

A Scoping Review and Bibliometric Analysis on Smart Firefighting in Buildings and Infrastructures

open access: yesFire and Materials, EarlyView.
ABSTRACT Smart Firefighting is a concept that has emerged within the fire engineering and fire science disciplines in recent years. It can enable informed decision making and improved fire safety. However, its scope, definition, outcomes, and value to emergency management remain unclear. To investigate this, a scoping review and a bibliometric analysis
José Antonio Morales Mere   +2 more
wiley   +1 more source

Harnessing deep learning to quantify microstructural complexity in confocal images of plant protein gels

open access: yesFood Biomacromolecules, EarlyView.
Abstract Understanding plant protein gel microstructure is key to designing functional food systems. This study introduces a deep learning framework using a U‐Net model with a ResNet34 encoder to segment and quantify confocal laser scanning microscopy (CLSM) images of plant protein gels.
Zhi Yang
wiley   +1 more source

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