Results 81 to 90 of about 747 (168)
Blurring the Boundaries: An Investigation of Eating Disorder Recovery Content on TikTok
ABSTRACT Objective Eating disorder recovery content is widely circulated on TikTok. We thematically analyzed recovery content on TikTok, examined its associations with symptom severity among individuals with eating disorders, and assessed its co‐occurrence with pro‐eating disorder material within their TikTok feeds.
Scott Griffiths +12 more
wiley +1 more source
Abstract Objective This study was undertaken to evaluate the safety and effectiveness of responsive thalamic stimulation as adjunctive therapy for drug‐resistant idiopathic generalized epilepsy (IGE) with generalized tonic–clonic seizures (GTCSs). Methods NAUTILUS is a prospective, multicenter, single‐blind, randomized sham‐controlled pivotal trial ...
Utku Uysal +47 more
wiley +1 more source
Revisiting ancient whole-genome duplications in the seed and flowering plants through the lens of dosage-sensitive genes. [PDF]
Shi T, Van de Peer Y.
europepmc +1 more source
Abstract Background Racehorses undergo profound physiological changes with training and competition, but current biomarkers inadequately capture the complex molecular dynamics of exercise. This study aimed to identify novel plasma biomarkers of training adaptation and peak load using high‐throughput proteomics.
Jowita Grzędzicka +4 more
wiley +1 more source
The path-label reconciliation (PLR) dissimilarity measure for gene trees. [PDF]
Sánchez AL +4 more
europepmc +1 more source
ABSTRACT This paper adopts a bivariate Markov‐switching multifractal (BMSM) model to reexamine comovement in SV between commodity, foreign exchange (FX), and stock markets. After the 2007–2008 global financial crisis understanding volatility linkages and the correlation structure between these markets becomes very important for risk analysts, portfolio
Ruipeng Liu +3 more
wiley +1 more source
DSGE Model Forecasting: Rational Expectations Versus Adaptive Learning
ABSTRACT This paper compares within‐sample and out‐of‐sample fit of a DSGE model with rational expectations to a model with adaptive learning. The Galí, Smets, and Wouters model is the chosen laboratory using quarterly real‐time euro area data vintages, covering 2001Q1–2019Q4.
Anders Warne
wiley +1 more source
Phylogenetic reconciliation: making the most of genomes to understand microbial ecology and evolution. [PDF]
Williams TA +12 more
europepmc +1 more source
Topiary: Pruning the manual labor from ancestral sequence reconstruction. [PDF]
Orlandi KN +4 more
europepmc +1 more source
Predicting EU Emissions Allowance Prices Using Macroeconomic Indicators and Hybrid AI Models
ABSTRACT Predicting carbon allowance prices has grown more crucial in relation to carbon market regulation, financial strategy, and environmental policy development. This study examines a hybrid forecasting system that combines deep learning with ensemble machine learning models to forecast the price fluctuations of EU Emissions Allowance (EUAs) within
Saptarshi Ganguly +2 more
wiley +1 more source

