Results 151 to 160 of about 20,128 (302)
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Fully Integrated, Low Drop-Out Linear Voltage Regulator in 180 nm CMOS [PDF]
Jørgensen, Ivan Harald Holger +3 more
core +2 more sources
Designing Low Dropout Regulator for Power Efficiency
Saranya C, Aswathy B S
openaire +1 more source
Teacher‐Led Universal Eating Disorder Prevention Programmes in Schools: A Scoping Review
ABSTRACT Objective This scoping review seeks to evaluate the efficacy of teacher‐led interventions in mitigating risk factors related to eating disorders, considering the necessity for universal prevention programmes that can be effectively administered by educators.
Jessica Parker +3 more
wiley +1 more source
Evaluating imputation methods for accurate estimation of cell population fractions in single-cell RNA sequencing. [PDF]
Valyaeva AA, Tochilkina MS, Sheval EV.
europepmc +1 more source
ABSTRACT Objective A significant proportion of patients with eating disorders (EDs) also meet criteria for posttraumatic stress disorder (PTSD). Guidelines recommend exposure‐based treatments for PTSD, including prolonged exposure (PE) and eye movement desensitisation and reprocessing (EMDR).
J. van der Starre +5 more
wiley +1 more source
ABSTRACT Introduction Adolescents with anorexia nervosa (AN) often present cognitive rigidity, impaired decision‐making, and difficulties processing emotions, all of which can impede engagement in treatment. The marked rise in paediatric hospitalisations for AN during the COVID‐19 pandemic highlights the urgent need for brief, targeted interventions in
Dario Marin +4 more
wiley +1 more source
Improved gene regulatory network inference from single cell data with dropout augmentation. [PDF]
Zhu H, Slonim DK.
europepmc +1 more source
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source

