Comparative Effects of Basil Seed Consumption and Endurance Exercise on Irisin, Interleukin 6 (IL-6), Tumor Necrosis Factor-Alpha (TNF-α), and Leptin Levels: A Prospective Observational Study.

Background and objective There is growing concern regarding metabolic and inflammatory disorders globally, underscoring the need for effective nonpharmacological interventions. Irisin, interleukin 6 (IL-6), tumor necrosis factor-alpha (TNF-α), and leptin are biomarkers of metabolic and inflammatory health. In this study, we aimed to investigate the comparative effects of basil seed supplementation or endurance exercise on biomarkers of chronic oxidative stress.

Systematic evaluation of sampling rate influences and variability in POCIS using meta-analysis and quantitative structure property relationship (QSPR).

Despite the significant benefits of aquatic passive sampling (low detection limits and time-weighted average concentrations), the use of passive samplers is impeded by uncertainties, particularly concerning the accuracy of sampling rates. This study employed a systematic evaluation approach based on the combination of meta-analysis and quantitative structure-property relationships (QSPR) models to address these issues. A comprehensive meta-analysis based on extensive data from 298 studies on the Polar Organic Chemical Integrative Sampler (POCIS) identified essential configuration parameters, including the receiving phase (type, mass) and the diffusion-limiting membrane (type, thickness, pore size), as key factors influencing uptake kinetic parameters.

FP-YOLOv8: Surface Defect Detection Algorithm for Brake Pipe Ends Based on Improved YOLOv8n.

To address the limitations of existing deep learning-based algorithms in detecting surface defects on brake pipe ends, a novel lightweight detection algorithm, FP-YOLOv8, is proposed. This algorithm is developed based on the YOLOv8n framework with the aim of improving accuracy and model lightweight design. First, the C2f_GhostV2 module has been designed to replace the original C2f module.

Identification of Key Genes Involved in Sesquiterpene Synthesis in Based on Transcriptome and Component Analysis.

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