Results 271 to 280 of about 808,998 (381)

Multi‐Omics and ‐Organ Insights into Energy Metabolic Adaptations in Early Sepsis Onset

open access: yesAdvanced Science, EarlyView.
This study shows that patients at risk of sepsis have a distinct metabolite and lipid signature, including serine and aminoadipic acid, in their serum before clinical diagnosis. A mouse model of sepsis with a compatible serum signature reveals underlying metabolic changes, including mitochondrial adaptation, altered serine‐dependent purine metabolism ...
Lin‐Lin Xu   +9 more
wiley   +1 more source

"Do Elite Sport First, Get Your Period Back Later." Are Barriers to Communication Hindering Female Athletes? [PDF]

open access: yesInt J Environ Res Public Health, 2021
Höök M   +3 more
europepmc   +1 more source

Hormonal Neuroendocrine and Vasoconstrictor Peptide Responses of Ball Game and Cyclic Sport Elite Athletes by Treadmill Test

open access: gold, 2015
Anna Protzner   +7 more
openalex   +2 more sources

The application of mental fatigue research to elite team sport performance: New perspectives [PDF]

open access: green, 2018
Suzanna Russell   +4 more
openalex   +1 more source

The Role of Sports Medicine in Elite Sports

open access: yesProceedings of the 2nd Yogyakarta International Seminar on Health, Physical Education, and Sport Science (YISHPESS 2018) and 1st Conference on Interdisciplinary Approach in Sports (CoIS 2018), 2018
openaire   +2 more sources

Intestinal Clock Promotes Cognitive Memory Through Adenosine Signaling

open access: yesAdvanced Science, EarlyView.
The intestinal clock controls the expression of an adenosine enzyme that modulates systemic adenosine level and A1R signaling in the hippocampus, and in turn, cognitive function involving long‐term potentiation and BDNF‐dependent synaptic changes.
Min Chen   +13 more
wiley   +1 more source

Perovskite Neuromorphic Engine for Transformer Architectures

open access: yesAdvanced Science, EarlyView.
This paper introduces a perovskite‐based memristive computing unit that performs all necessary operations for Transformer artificial neural networks entirely in the analog domain. The system achieves comparable performance to GPU‐based systems, but with only 1.7% of the energy consumption, boosting power efficiency by 58 times.
Zhenye Zhan   +5 more
wiley   +1 more source

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