Results 161 to 170 of about 165,106 (263)

Highly‐Time‐Resolved Measurements of Tryptophan's Distribution and Homeostatic Regulation in Live, Intact Animals

Advanced Science, EarlyView.
Using a novel, aptamer‐based biosensor, here we have performed 20‐s‐resolved, in situ measurements of plasma‐free tryptophan in the jugular veins of live rats (blue). This unprecedented time‐resolution provides insights into the regulation of tryptophan metabolism in live, intact animals.
Yuyang Wu, Chelsea N. Brown, Zeki Duman, Rose Mery Bakestani, Carl M. Kirkpatrick, Joao Hespanha, Tod Kippin, Kevin W. Plaxco   +7 more
wiley   +1 more source

Exploratory study of non-ordinary states of consciousness during sleep show distinct electrophysiological features from wakefulness and canonical sleep stages. [PDF]

Sci Rep
Herrero NL, Corfdir Y, Vázquez-Chenlo AA, Capurro L, Forcato C.   +4 more
europepmc   +1 more source

A systematic review of the performance of actigraphy in measuring sleep stages

, 2023
Yuan H, Hill EA, Kyle SD, Doherty A.
europepmc   +1 more source

Abstract Representation of Movement Parameters in Basal Ganglia Output

Advanced Science, EarlyView.
The basal ganglia output provides a scalable velocity/position signal across behavioral contexts, supporting the idea that these variables are represented in the brain as abstract entities rather than as fixed changes in joint angles or specific sets of body effectors.
Ana Silvia Báez‐Cordero, Diana I. Ortega‐Romero, Claudia I. Pérez‐Díaz, Pavel E. Rueda‐Orozco   +3 more
wiley   +1 more source

Sex‐ and Time‐Resolved Physiological and Gut Ecosystem Responses to a Food‐Grade Microbiome‐Targeted Intervention in Collegiate Endurance Athletes

Advanced Science, EarlyView.
In collegiate endurance athletes, a 6‐week randomized CPYE intervention yielded time‐ and sex‐dependent shifts in field‐based cardiorespiratory, metabolic, and redox indices, accompanied by changes in gut multi‐omics profiles. An exploratory extension during intensified training generates hypotheses warranting future validation.
Meng Zhang, Le Ge, Kaiyang Liu, Yanrong Liu, Guolin Zhao, Lai‐Yu Kwok, Zheng Sun, Zhihong Sun, Wenyi Zhang   +8 more
wiley   +1 more source

Sleep stages classification based on feature extraction from music of brain. [PDF]

Heliyon
Jalali H, Pouladian M, Nasrabadi AM, Movahed A.   +3 more
europepmc   +1 more source

Proteogenomic Profiling of Idiopathic Pulmonary Arterial Hypertension Identifies Sex‐Differential Proteins and Candidate Therapeutic Targets

Advanced Science, EarlyView.
An integrated proteogenomic analysis of 44,137 predominantly European‐ancestry UK Biobank participants aged 40–69 years identifies 12 robust proteins associated with idiopathic pulmonary arterial hypertension. These proteins define a high‐mortality molecular endotype, support early detection and mortality prediction, reveal sex‐differential proteomic ...
Xinjie Lin, Yangchang Zhang, Yang Pu, Duanke Liu, Tao Lei, Kai Ma, Qiyu He, Zheng Dou, Yuze Liu, Dengyuan Liu, Yinge He, Yanshang Wang, Xiaojiao Zheng, Yanbing Ma, Jianrong Zhou, Weiding Zhai, Binbin Su, Li Chen, Shoujun Li   +18 more
wiley   +1 more source

Evaluation of Sleep Stages During Drug-Induced Sleep Endoscopy in Pediatric Patients with Obstructive Sleep Apnea: A Pilot Study. [PDF]

Clin Otolaryngol
Abend A, Hintelmann C, Dinh KH, Uknuis D, Shah U, Ramagopal M, Kwong K.   +6 more
europepmc   +1 more source

Self‐Sustaining Sensing Systems: Integration Strategies and Signal–Power Matching in Energy‐Harvesting Electronics

Advanced Science, EarlyView.
Energy‐harvesting‐integrated sensors couple ambient energy conversion with sensing, processing, and wireless communication. This review organizes recent progress through integration architectures and operating principles, revisiting co‐packaged, monolithic, and co‐functional designs together with always‐on, event‐driven, and multi‐modal sensing modes ...
Taehyun Park, Ki‐Yoon Park, Yeonho Choi, Dong‐Myeong Shin, Hong‐Joon Yoon, Hocheon Yoo   +5 more
wiley   +1 more source

Towards a Compositional Framework for Describing Human Phenotypes

Advanced Science, EarlyView.
The Phenotype Assembly Method (PhenoAM) decomposes phenotype variables into measurable Features and typed Qualifiers, enabling standardized, machine‐readable Phenome Data Elements (PhenoDEs) that preserve measurement context. Applied in the International Human Phenome Project (IHPP), the framework yields 58 371 PhenoDEs and supports component‐level ...
Wanting Hu, Yunchao Ling, Xinyue Hu, Wei Chen, Rong Zhou, Xinhao Zhuang, Yanfeng Jiang, Jialu Zhao, Xingdong Chen, Jingchun Luo, Li Jin, Guoqing Zhang   +11 more
wiley   +1 more source