Results 201 to 210 of about 97,206 (312)

Sex Differences in Associations Between Adversity and Biological Ageing

open access: yesAging Cell, Volume 25, Issue 2, February 2026.
Childhood adversity was associated with older biological ageing profiles (metabolomic ageing, frailty, telomeres, grip strength) primarily in females, supported by sex‐stratified analyses. Adulthood adversity showed stronger associations in males, particularly for frailty and grip strength, with significant sex‐by‐adversity interactions, highlighting ...
Julian Mutz   +4 more
wiley   +1 more source

Temporal associations between ambrosia beetles and ʻōhiʻa (Metrosideros polymorpha) artificially inoculated with Ceratocystis lukuohia

open access: yesAgricultural and Forest Entomology, Volume 28, Issue 1, Page 49-60, February 2026.
Abstract Wood boring ambrosia beetles play a central role in the spread of Ceratocystis wilt of ‘ōhi‘a, a fungal disease caused by Ceratocystis lukuohia that kills the bioculturally important ‘ōhiʻa (Metrosideros polymorpha) tree. Beetles contribute to the spread of the disease by extruding fungus‐infected wood particles (frass). Disease mitigation can
Robert W. Peck   +4 more
wiley   +1 more source

Improved taxonomic and gene sampling advance the knowledge of deep relationships within Macrodasyida (Gastrotricha)

open access: yesCladistics, Volume 42, Issue 1, Page 25-45, February 2026.
Abstract Advances in Macrodasyida (Gastrotricha) phylogenetics, fuelled by new species discoveries and molecular data, are reshaping taxonomic classifications. Molecular analyses suggest polyphyly in Cephalodasyidae and Macrodasyidae, yet insufficient sampling continues to obscure precise relationships.
Agata Cesaretti   +3 more
wiley   +1 more source

Individual and Environmental Factors Influencing Influenza Transmission: A Multilevel Analysis

open access: yesInfluenza and Other Respiratory Viruses, Volume 20, Issue 2, February 2026.
ABSTRACT Background Influenza transmission is influenced by both individual characteristics and community‐level drivers. Understanding how these drivers jointly influence transmission is important to predicting outbreaks and guiding influenza prevention strategies.
Nushrat Nazia   +2 more
wiley   +1 more source

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