Results 221 to 230 of about 73,786 (298)

<i>mmCIF Validator</i>: a comprehensive validation tool for structural biology data files. [PDF]

open access: yesJ Appl Crystallogr
Harrus D   +5 more
europepmc   +1 more source

Childhood adversity and psychotic‐like experiences in adolescence: Investigating a pathway via disrupted pubertal and grey matter development

open access: yesJCPP Advances, EarlyView.
Abstract Background Childhood adversity increases psychosis risk, but the biological mechanisms responsible remain elusive. A possible but underexplored pathway involves altered pubertal and grey matter (GM) development. Methods In youth from the Adolescent Brain Cognitive Development study (N = 3462), we investigated the effect of adversity at age 9 ...
Megan Thomas   +3 more
wiley   +1 more source

Editorial: Transdiagnostic approaches to child and adolescent mental health—Integrating development, dimensions, and mechanisms

open access: yesJCPP Advances, EarlyView.
Abstract Co‐occurrence of child and adolescent neurodevelopmental and mental health conditions is the rule rather than the exception, yet translating this insight into shared frameworks and clinical practice remains challenging. In this Editorial, we are pleased to introduce the 26 papers included in the 2026 Special Issue of JCPP Advances.
Alessio Bellato   +6 more
wiley   +1 more source

Higher Energy Demands and Lower Body Condition in a Hot Spring: Comparing Relict Leopard Frogs at Two Thermally Contrasting Sites

open access: yesJournal of Experimental Zoology Part A: Ecological and Integrative Physiology, EarlyView.
ABSTRACT Following range‐wide decline, all remnant populations of the relict leopard frog (Rana onca) in the eastern Mojave Desert of the southwestern USA occupied geothermally influenced hot springs. In recent years, however, several large populations have been established at cold‐water sites.
Robert P. Pelletier   +3 more
wiley   +1 more source

Multicenter, Multivendor Development and Validation of Automated Liver Prescription

open access: yesJournal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Background Manual prescription of liver MRI volumes introduces inter‐operator variability and prolongs exam duration. Artificial intelligence (AI)‐based prescription has been demonstrated, but existing work has been limited to single‐vendor settings. Purpose To develop and validate an AI model for automated liver MRI prescription using a large,
Garrett C. Fullerton   +13 more
wiley   +1 more source

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