Gendered Attitudes Toward Corporal Punishment: Implications for Prevention of Mental Health Problems in Youth. [PDF]
Rajter M, Medvidović M.
europepmc +1 more source
Abstract Systematic knowledge of the Mexican Crassulaceae is slowly progressing as data from new DNA regions and species sampling efforts increase. We compiled and generated new rbcL, matK, rps16, ITS/ITS2, and ETS DNA sequences and performed an updated phylogenetic reconstruction for a group of 131 Mexican Crassulaceae terminals from 11 of the 13 ...
Luis Emilio de la Cruz‐López +1 more
wiley +1 more source
Psychometric Properties of the Children With Cerebral Palsy (7-18 Years Old) Self-Care Skills Scale-Parent Form: A Turkish Validity and Reliability Study. [PDF]
Yavuz B +2 more
europepmc +1 more source
CP invariance in the reaction at 1.546 GeV/c
P. Barnes +28 more
semanticscholar +1 more source
The United States Magnetotelluric Array and the National Impedance Map
Abstract The United States Magnetotelluric Array (USMTArray) data set, collected in the years 2006–2024, consists of more than 1,700 long‐period magnetotelluric stations covering the entirety of the contiguous United States on a quasi‐regular 70 km grid.
Anna Kelbert +7 more
wiley +1 more source
Psychometric validation of the WHO-5 and WHO-4 well-being index scales for assessing psychological well-being and detecting depression in Japanese school-aged children: a community-based study. [PDF]
Adachi M +8 more
europepmc +1 more source
The First Archaeomagnetic Age at Tiwanaku and Implications for Dating Andean Metallurgical Furnaces
ABSTRACT This paper presents the first archaeomagnetic dating at Tiwanaku (Andean Altiplano). We compared the geomagnetic field values recorded by a metallurgical furnace against an updated SHAWQ2k‐SH global model and a regional intensity curve, both of which include, for the first time, high‐quality intensity data from the Southern Hemisphere. Results
Judit del Río +6 more
wiley +1 more source
Network analysis of eating disorders (NAMED): an exploratory study of symptom configuration at different stages of illness. [PDF]
Tomei G, Tomba E.
europepmc +1 more source
Fairness at Risk: Where Bias Emerges in Machine Learning
ABSTRACT Artificial intelligence and machine learning (ML) now shape decisions in healthcare, finance and security, but they can reproduce historical prejudice and inequality. Bias in training data and in model implementation can amplify harm, especially for racial and gender minorities.
Otavio de Paula Albuquerque +2 more
wiley +1 more source
Psychosocial risk and protective factors in school victimization: an explanatory model in adolescents. [PDF]
Vargas Jiménez E +2 more
europepmc +1 more source

