Results 261 to 270 of about 103,187 (313)

Personalized Treatment Selection for Digital Eating Disorder Interventions: A Proof‐of‐Concept for the Personalized Advantage Index

open access: yesInternational Journal of Eating Disorders, EarlyView.
ABSTRACT Objective Although a range of evidence‐based treatments for eating disorders exist, treatment response varies substantially. The ability to match individuals to a treatment which they are most likely to benefit from may help improve treatment efficiency and therapeutic outcomes.
Zoe McClure   +3 more
wiley   +1 more source

Synergistic mechanisms foster declines in native fish community stability following the introduction of non‐native species

open access: yesEcography, EarlyView.
Non‐native species introductions profoundly alter freshwater communities, yet the mechanisms by which non‐native fishes affect native community stability remain unclear. Using a multi‐decadal dataset on fish community composition and abundance collected across France, we quantified native community stability and decomposed this metric into its main ...
Chengzong Tian   +5 more
wiley   +1 more source

Artificial intelligence for adaptive neuromodulation in drug‐resistant epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Drug‐resistant epilepsy (DRE) affects nearly one third of people with epilepsy and is associated with substantial cognitive, psychiatric, and mortality burdens. For patients who are not candidates for resection or laser interstitial thermal therapy, neuromodulation therapies such as vagus nerve stimulation, deep brain stimulation, and ...
Amir Hossein Daraie   +10 more
wiley   +1 more source

Individual‐specific resting‐state networks predict language dominance in drug‐resistant epilepsy

open access: yesEpilepsia, EarlyView.
Abstract Objective This study was undertaken to reliably estimate individual‐specific resting‐state cortical networks and determine whether language network topography can predict task‐based language dominance in drug‐resistant epilepsy. Methods We utilized a multisession hierarchical Bayesian model (MS‐HBM) trained on drug‐resistant epilepsy patients ...
Mervyn Jun Rui Lim   +7 more
wiley   +1 more source

Feasibility of Wind‐Powered Green Hydrogen Production via a Hybrid Graph Neural Network‐Transformer Forecasting Model

open access: yesEnergy Science &Engineering, EarlyView.
ABSTRACT Accurate long‐term wind speed forecasting is pivotal for the strategic planning of renewable energy infrastructure, particularly for assessing the techno‐economic feasibility of wind‐powered green hydrogen facilities. However, capturing the complex spatiotemporal dependencies in climate data remains a significant challenge. This study proposes
Iman Baghaei   +2 more
wiley   +1 more source

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