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To define training zones, ventilatory thresholds (VTs) are commonly established by cardiopulmonary gas-exchange analysis during incremental exercise tests. Portable near-infrared spectroscopy (NIRS) devices have emerged as a potential tool for detecting these thresholds by monitoring muscle oxygenation. This study evaluated the accuracy of NIRS measurements to determine VTs or critical power (CP) based on muscle oxygen saturation and assesses the device's consistency across 2 constant-load tests. Data from 2 cross-sectional studies involving trained recreational endurance athletes (26 from study 1) and CrossFit athletes (59 from study 2) were examined. Incremental ramp tests on a cycle ergometer were performed and followed by either a constant-load test (study 1) or a CP test (study 2). When comparing power output or heart rate between NIRS-derived breakpoints and VTs, weak to moderate agreement was found. Mean differences in power output and heart rate ranged from 16.8 to 22.4 W and 3.8 to 6.0 beats·min-1 at the first threshold and 27.4 to 31.2 W and 7.1 to 7.8 beats·min-1 at the second threshold. Comparing with CP, mean differences ranged from -0.4 to 0.4 W and -0.6 to 0.9 beats·min-1. Test-retest reliability showed moderate agreement, with a mean bias of 1.2 percentage points between constant-load tests. Thus, NIRS may not be accurate for determining VTs or CP during exercise due to limited agreement in power output or hear rate, notable variability on individual level, and moderate reproducibility.
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http://dx.doi.org/10.1123/ijspp.2024-0265 | DOI Listing |
Nano Lett
September 2025
State Key Laboratory of Materials Low-Carbon Recycling, College of Materials Science and Engineering, Beijing University of Technology, Beijing 100124, P. R. China.
Two-dimensional (2D) nanofluidic architectures with nanoconfined interlayer channels and excess surface charges have revolutionized membrane-based reverse electrodialysis systems, demonstrating highly efficient osmotic energy collection through strong electrostatic screening of electric double layer (EDL). However, the ion-transport dynamics in 2D nanofluidic anion-selective membranes (2D-NAMs) still remain unexplored. Here, we combine density functional theory and molecular dynamics (MD) simulations to systematically explore ion transport in the 2D-NAMs.
View Article and Find Full Text PDFAdv Mater
September 2025
Key Lab of Artificial Micro- and Nano-Structures of Ministry of Education of China, School of Physics and Technology, Wuhan University, Wuhan, 430072, China.
Sequential deposition technique is widely used to fabricate perovskite films with large grain size in perovskite solar cells (PSCs). Residual lead halide (PbI) in the perovskite film tends to be decomposed into metallic lead (Pb) under long-term heating or light soaking. Here, a chiral levetiracetam (LEV) dopant containing α-amide and pyrrolidone groups is introduced into the PbI precursor solution.
View Article and Find Full Text PDFAdv Healthc Mater
September 2025
Energy Storage Institute of Lanzhou University of Technology, School of Materials Science and Engineering, State Key Laboratory of Advanced Processing and Recycling of Non-ferrous Metals, Lanzhou University of Technology, Lanzhou, 730050, China.
The rapid advancement of implantable medical electronic devices has spurred substantial research into implantable energy storage systems. However, the presence of multiple film resistors in traditional sandwich structures impedes further enhancements in the electrochemical performance of supercapacitors and may result in contact failures between electrodes and separators or catastrophic short-circuit failures during tissue deformation. This study introduces a novel approach for fabricating all-in-one Zn-ion hybrid supercapacitors, which effectively mitigates performance degradation and safety concerns arising from interfacial issues.
View Article and Find Full Text PDFPerspect Behav Sci
September 2025
Institute for Applied Behavioral Science, Endicott College, Beverly, MA USA.
Ethics is fundamentally concerned with claims of "right," "wrong," "good," "bad," and how we might know those claims are accurate. Artificial intelligence (AI) is a term that represents a suite of tools where nonbiological systems process data and information to generate an output considered "intelligent." As with any suite of technologies, choosing the right tool requires the tool user to critically evaluate which tool is best for the task (if one exists).
View Article and Find Full Text PDFAnn Glob Health
September 2025
Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Photographic imagery holds profound power in shaping narratives, identities, and perceptions in global health education. Historically, visual representation used in global health has perpetuated colonial hierarchies, reinforcing inequities and marginalizing the voices and lived realities of the communities they depict. These images can inadvertently sustain harmful stereotypes and distort the complexity of global health challenges.
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