Results 111 to 120 of about 15,104 (248)
ABSTRACT Objective Cognitive‐Behavioral Therapy for Avoidant/Restrictive Food Intake Disorder (CBT‐AR) is an emerging treatment for ARFID, but to date, it has only been delivered by mental health clinicians. Given the relevance of nutrition to treatment goals, we adapted the treatment to be dietetic‐led (D‐CBT‐AR).
Copeland G. Winten +6 more
wiley +1 more source
The Clash of Generations: Driving Forces Behind Charitable Giving Among Older and Younger Muslims
In this exploratory, survey-based study (n = 606), we examined whether Muslim perceptions about giving have changed due to the increased government scrutiny of charitable donations.
Siddiqui Shariq +2 more
doaj +1 more source
Abstract Children with developmental and epileptic encephalopathies (DEEs) face cognitive and behavioral challenges that may have a greater impact than seizures on their quality of life (QoL). The need to assess these nonseizure outcomes for evaluating treatments is increasingly recognized.
Cinzia Correale +9 more
wiley +1 more source
Precision therapies for genetic epilepsies in 2025: Promises and pitfalls
Abstract By targeting the underlying etiology, precision therapies offer an exciting paradigm shift to improve the stagnant outcomes of drug‐resistant epilepsies, including developmental and epileptic encephalopathies. Unlike conventional antiseizure medications (ASMs) which only treat the symptoms (seizures) but have no effect on the underlying ...
Shuyu Wang +3 more
wiley +1 more source
Frontiers in EEG as a tool for the management of pediatric epilepsy: Past, present, and future
Abstract Electroencephalography (EEG) has evolved into an indispensable tool in pediatric epilepsy, fundamentally transforming the diagnosis, classification, and management of this condition. This review chronicles the historical journey of EEG from its groundbreaking inception to its current pivotal role in delineating distinct pediatric epilepsy ...
Hiroki Nariai
wiley +1 more source
AI‐based localization of the epileptogenic zone using intracranial EEG
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida +5 more
wiley +1 more source
Abstract Objectives ES‐481 is a novel potent and selective antagonist of TARP‐y8‐dependent AMPA receptors. We aimed to assess the potential efficacy, safety and tolerability, and pharmacokinetics of different doses of ES‐481 as an add‐on anti‐seizure medication (ASM) in adults with drug‐resistant epilepsy (DRE). Methods This was a Phase 2A double‐blind,
Emma C. Foster +16 more
wiley +1 more source
From Ad Hoc to Function: Vancouver Foundation's Journey to Learning Through Evaluation
ABSTRACT This case narrative details the Vancouver Foundation's (VF) journey from ad‐hoc reporting to a core internal learning and evaluation function. Catalyzed by the pandemic and motivated by the increasing need, VF established the Engagement Department to house evaluation independently.
Vincent Tom
wiley +1 more source
ABSTRACT Introduction This project explores influenza and human papillomavirus (HPV) vaccine utilisation among a multi‐ethnic group of youth (aged 11–23 years) in Edmonton, Alberta, Canada. Method Using a cross‐sectional design and purposive sampling, influenza vaccine utilisation over 3 years was assessed via questionnaire.
Sarah Deck +5 more
wiley +1 more source
ABSTRACT This study draws on framing theory to investigate how microfinance institutions (MFIs) strategically construct a vulnerability‐oriented organisational identity and how this framing influences their funding decisions during the pre‐campaign phase of prosocial crowdfunding.
Ana Paula Matias Gama +3 more
wiley +1 more source

