Results 161 to 170 of about 311,057 (356)
Magnesium silicide (Mg2Si) is introduced as a narrow‐bandgap, biodegradable semiconductor for transient electronics. RF‐sputtered and annealed Mg2Si thin films show high intrinsic electrical conductivity and low thermal conductivity. The polycrystalline material undergoes hydrolysis in aquatic and composting environments with minimal cytotoxicity ...
Ji‐Woo Gu +17 more
wiley +1 more source
Effects of a Mixed Nutraceutical Beverage on Performance of Moderately Strenuous Aerobic Exercise Lasting Under an Hour [PDF]
Robert A. DiSilvestro
openalex +1 more source
Mechanistic schematic diagram.BPGM promotes the expression level of RET by increasing the lactylation of RET‐K549 and inhibiting its ubiquitination levels in HCC cells. Furthermore, BPGM in HCC cells could also promote M2 polarization in macrophages through lactate secretion. Both of the mechanisms could promote the progression of HCC. ABSTRACT Aerobic
Jiajia Zhang +10 more
wiley +1 more source
Physiological Responses during Competitive Sports Aerobics Exercise
Roma Aleksandravičienė +1 more
openalex +2 more sources
Protective Effect of Aerobic Exercise on the Nasal Mucosa of Rats Against the Histopathologic Changes in Cigarette Smoke Exposure [PDF]
Özlem Akkoca +5 more
openalex +1 more source
Assessment of Cerebrovascular Dynamics and Cognitive Function with Acute Aerobic Exercise in Persons with Multiple Sclerosis [PDF]
Wesley K. Lefferts +6 more
openalex +1 more source
Higher plasma leucine is associated with increased risk of new‐onset myocardial infarction. Leucine deprivation alleviates advanced atherosclerosis in mice. Tumor‐induced leucine deprivation reprograms macrophage metabolism and increases CD5Lhi macrophages in mouse plaques. Mechanistically, leucine deficiency reduced SLC7A5‐PGAM5 binding in macrophages,
Shan Zhong +22 more
wiley +1 more source
Effect of aerobic exercise on brain metabolite profiles in the mouse models of methamphetamine addiction: LC-MS-based metabolomics study [PDF]
Jisheng Xu +5 more
openalex +1 more source
Artificial Intelligence‐Driven Soft Bioelectronics for Self‐Powered Respiration Monitoring
Artificial intelligence‐driven soft bioelectronics for self powered respiration monitoring based on triboelectric nanogenerators (TENGs), piezoelectric nanogenerators (PENGs), and magnetoelastic generators (MEGs) enable continuous and multi‐scenario respiratory biomechanical data collection. Coupled with machine learning and big data driven diagnostics,
Xinkai Xu, Xiao Xiao, Rui Guo, Jun Chen
wiley +1 more source

