ABSTRACT Objective This review aimed to quantify rates of uptake (treatment initiation), adherence (program completion), and attrition (study dropout) in randomized trials of digital eating disorder (ED) interventions, and to synthesize engagement reporting practices, their consistency, and associations with clinical outcomes. Methods Randomized trials
Claudia Liu +4 more
wiley +1 more source
An enhanced neural network model for predicting the remaining useful life of proton exchange membrane fuel cells. [PDF]
Pan H, Zou Y, Sun X, Fu J.
europepmc +1 more source
ABSTRACT Objective Individuals with eating disorders (EDs) often face significant barriers to accessing care, including prolonged waitlists and systemic delays. Digital interventions, such as mobile apps, offer a scalable way to enhance pre‐treatment engagement during this high‐risk period.
Amané Halicki‐Asakawa +2 more
wiley +1 more source
An Enhanced Cascaded Deep Learning Framework for Multi-Cell Voltage Forecasting and State of Charge Estimation in Electric Vehicle Batteries Using LSTM Networks. [PDF]
Pourbunthidkul S +4 more
europepmc +1 more source
ABSTRACT Objective Binge‐eating disorder (BED) is a serious psychological condition, often associated with trauma, as well as many critical physical and psychological consequences. Despite the availability of several evidence‐based treatments, full remission rates and long‐term recovery rates remain suboptimal.
Amaani H. Hatoum +5 more
wiley +1 more source
State-of-Charge Estimation of Medium- and High-Voltage Batteries Using LSTM Neural Networks Optimized with Genetic Algorithms. [PDF]
Carrera R +3 more
europepmc +1 more source
Intelligent particle filtering state observer for stability assessment in solar-wind penetrated microgrids. [PDF]
Alharbi A.
europepmc +1 more source
Embedded Sensor Data Fusion and TinyML for Real-Time Remaining Useful Life Estimation of UAV Li Polymer Batteries. [PDF]
Chaoraingern J, Numsomran A.
europepmc +1 more source
AI-powered automated hydroponic system for smart agriculture. [PDF]
Baraskar PT +4 more
europepmc +1 more source
Research on temperature prediction method for rail transit train inverters based on spatial and timing improving Transformer. [PDF]
Feng Y +5 more
europepmc +1 more source

