Results 111 to 120 of about 7,955 (262)
ABSTRACT Objectives We compared two measures of Avoidant/Restrictive Food Intake Disorder (ARFID)—the NIAS and the PARDI‐AR‐Q to determine which demonstrates better psychometric and clinical utility. Methods The study was pre‐registered (OSF; DOI 10.17605/OSF.IO/N8WBF). Participants (aged ≥ 18 years, BMI > 18.5) were recruited via Prolific and screened
Rebecca Nicholls‐Clow +2 more
wiley +1 more source
Harnessing Diversity: Majority‐Group Acculturation Predicts Creativity and Flourishing Over Time
ABSTRACT Creativity and flourishing are core aims of higher education (HE) institutions and government initiatives globally. Large‐scale projects have linked creativity and flourishing with cultural diversity, yet their associations with majority‐group acculturation (i.e., how members of dominant culture groups adopt minority‐cultural elements and/or ...
David Colledge +9 more
wiley +1 more source
Cross‐Entropy of Power Spectral Density Function: A Modal Identification Framework
ABSTRACT The power spectral density (PSD) function of measured structural response contains a significant amount of information, including the modal parameters (natural frequencies, damping ratios). Output‐only system identification or modal identification technique can be used for extracting such modal parameters from the measured response or its ...
Su‐Hong Kim +3 more
wiley +1 more source
ABSTRACT The aim of this study is to examine the effect of participation in the virtual reality‐based environmental education (VRBEE) program on the creative problem‐solving (CPS) skills of middle school students in Turkey. The research was conducted with 125 students from a public middle school, and their CPS skills were assessed using a pre‐test–post‐
Fatih Pala
wiley +1 more source
A Novel Text‐Based Framework for Forecasting Carbon Prices
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley +1 more source
Practice adoption in MNCS: A multi‐level interactionist model of trait activation
Abstract Research Summary Sharing knowledge through organizational practices is an important source of advantage for multinational corporations (MNCs). While prior research on practice adoption by subsidiaries of MNCs has identified several individual and organizational factors, this study examines their interplay in the context of HQ‐mandated ...
Sven Kunisch +4 more
wiley +1 more source
Abstract Objective Gynecologic examinations often provoke anxiety, embarrassment, and a perceived loss of control. Valid, patient‐focused tools that specifically quantify examination‐related anxiety remain limited. This study developed and validated the gynecologic examination anxiety scale (GEAS). Methods In a methodological study conducted in Turkey (
Hacer Demirtop +2 more
wiley +1 more source
Abstract Objective This study examined the psychometric properties of the Edinburgh Postpartum Depression scale (EPDS) in a large‐scale community‐based perinatal sample in the Philippines. Methods This study involved a total of 1025 pregnant women (n = 356), postpartum women (n = 500), and women who experienced stillbirth or neonatal death (n = 169 ...
Arbie Diane Flores‐Davantes +13 more
wiley +1 more source
Estimates for solutions to nonlinear boundary-value problems in conic domains
We obtain sharp estimates on the solution and its derivative near the conic points. In particular, we show that the solution satisfies $|u(x)|leq C|x|^lambda$ where lambda is an eigenvalue of the Sturm-Liouville problem.
Tahir S. Gadjiev, Sardar Y. Aliev
doaj
Artificial intelligence–driven decoupling structure–activity relationship for lithium‐ion batteries
Artificial intelligence can efferently accelerate the high‐throughput screening of battery materials, the analysis of multiphase mechanisms, and the precise prediction of capacity and cycle life. This review systematically summarizes the applications of machine learning (ML) in decoupling the complex structure‐activity relationships of lithium‐ion ...
Tao Wang +6 more
wiley +1 more source

