Results 191 to 200 of about 4,476 (243)
Non‐native pink salmon Oncorhynchus gorbuscha carcasses benefit native benthic macroinvertebrates
Abstract The invasion of the North Atlantic by pink salmon Oncorhynchus gorbuscha has raised concerns regarding their impact on coastal rivers. Although the influence of marine‐derived nutrients from returning adult O. gorbuscha on rivers in their native range has received much attention, the ecological consequences of invasive O.
Hui Wei +9 more
wiley +1 more source
Abstract The invasion of the red macroalga Gracilaria vermiculophylla provided an opportunity to investigate the influence of benthic habitats on the reproductive mode, population structure, and colonization dynamics in haploid‐diploid life cycles.
Alexis P. Oetterer +3 more
wiley +1 more source
Preregistration: A Key to Credible Real-World Evidence Generation. [PDF]
Simonsen E +3 more
europepmc +1 more source
Peri‐implant diseases (PIDs) are highly prevalent and threaten both the success and longevity of implant‐supported prostheses. Their prevention should begin before implant surgery (i.e., primordial prevention) by avoiding risk factor exposure and ensuring optimal implant placement conditions. Prehabilitation, a multimodal strategy already used in other
Maria Clotilde Carra, Philippe Bouchard
wiley +1 more source
The clinical and socioeconomic aspects of t-cell receptor excision circle based newborn screening for severe combined immunodeficiency in Southeast and East Asia. [PDF]
Yoo N +5 more
europepmc +1 more source
Sleep and Maladaptive Personality Traits: A Twin Study
ABSTRACT Sleep is essential for human functioning, but little attention has been paid to the interplay between sleep and maladaptive personality traits. We examined genetic and environmental associations between sleep and four maladaptive domains (MDs)—Negative Affectivity, Detachment, Disinhibition, and Psychoticism—within the framework of the DSM‐5 ...
Ziyu Ren +11 more
wiley +1 more source
Inborn Errors of Immunity: New Insights. [PDF]
Roganović J, Bellesi G.
europepmc +1 more source
Optimising Sleep Stage Detection Using a Minimal Non‐EEG Physiological Signal Set and Deep Learning
ABSTRACT Automatic sleep stage classification is essential for enabling non‐invasive, at‐home monitoring. However, current methods often rely on electroencephalogram (EEG) signals and ad‐hoc development approaches that limit reproducibility. We present a reproducible engineering framework for a deep learning model based on the U‐Net architecture that ...
Ángel Serrano Alarcón +4 more
wiley +1 more source

