Results 161 to 170 of about 8,971 (314)
Synergistic Impact of Sleep Disturbance and Social Isolation in Adult but Not Adolescent Female Mice
Journal of Sleep Research, EarlyView.ABSTRACT Sleep quality and social isolation are two of the numerous environmental, social and health‐related factors that contribute to major depressive disorder (MDD). In human studies, a strong association has been found between sleep quality and perceived loneliness, with each potentially exacerbating the other.
Christine Egebjerg +1 more
wiley +1 more source
Cold hardiness dynamics predict budbreak and associated low‐temperature threats in grapevine
New Phytologist, EarlyView.Summary Dormant buds of temperate woody perennial plants must attain cold hardiness to survive winters and timely lose it in spring to break bud while avoiding damage from low temperatures and late frosts. Therefore, we asked: Can a cold hardiness model be used to predict budbreak?
Francisco Campos‐Arguedas +8 more
wiley +1 more source
Plant Biology, EarlyView.Natural Arabidopsis thaliana accessions showed remarkable plasticity in both life‐cycle phenology and whole‐genome gene expression patterns in in natura field experiments. Nevertheless, local adaptation in fitness‐related life‐history traits can also be detected at the whole‐genome gene expression level.
A. Martínez‐Pérez +8 more
wiley +1 more source
Public Administration Review, EarlyView.ABSTRACT Administrative restructuring is an organizational phenomenon suggested to improve under‐represented groups' managerial representation by disrupting networks and institutions. However, extant tests of a ‘disruption hypothesis’ are collectively inconclusive. We elaborate and test it with a qualitative‐to‐quantitative study of local health agency
Rebecca A. E. Kirley, Carlotta Varriale
wiley +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source