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BMC Public Health
January 2025
School of Physical Education, Chizhou University, Chizhou, 247000, China.
Background: Since the beginning of the 21st century, China's economy has experienced rapid growth, resulting in a steady improvement in its citizens' living standards. However, alongside the emergence of modern civilization-related health issues, the overall physical fitness of the population has been declining. In the final year of 2019, a global COVID-19 pandemic emerged and persisted for three years, causing a significant diminution in human physical well-being.
View Article and Find Full Text PDFBioresour Technol
January 2025
Department of Science of Technology Innovation, Nagaoka University of Technology, Niigata 940-2188, Japan; Department of Civil and Environmental Engineering, Nagaoka University of Technology, Niigata 940-2188, Japan.
Anaerobic treatment of tapioca wastewater has a long processing time. This study aims to evaluate ethanol fermentation as an effective treatment of tapioca wastewater. Simulated tapioca wastewater with an average chemical oxygen demand (COD) of 6900 mg L was treated in a four-column anaerobic baffled reactor for 300 d.
View Article and Find Full Text PDFSci Total Environ
January 2025
Department of Civil Engineering, Indian Institute of Technology Kharagpur, Kharagpur 721302, West Bengal, India. Electronic address:
This study investigates the potential impact of future climate scenarios designated by different shared socioeconomic pathways (SSPs) on vegetation health. Considering the entire Indian mainland as the study region, which exhibits a diverse range of climate and vegetation regimes, we analysed long-term past (1981-2020) and future (2021-2100) changes in vegetation greenness across seven vegetation types and four seasons. In order to gain insight into the intricate interrelationships between vegetation and hydroclimatic factors (soil moisture, precipitation, solar radiation, and temperature), a Standardized Vegetation Index (SVI) is used as a proxy for vegetation health, and a bivariate copula-based probabilistic model is developed incorporating a Combined Climate Index (CCI) derived through Supervised Principal Component Analysis (SPCA) and the SVI.
View Article and Find Full Text PDFWater Res X
May 2025
Institute for Artificial Intelligence R&D of Serbia, Fruškogorska 1, Novi Sad 21000, Serbia.
This study evaluates three Machine Learning (ML) models-Temporal Kolmogorov-Arnold Networks (TKAN), Long Short-Term Memory (LSTM), and Temporal Convolutional Networks (TCN)-focusing on their capabilities to improve prediction accuracy and efficiency in streamflow forecasting. We adopt a data-centric approach, utilizing large, validated datasets to train the models, and apply SHapley Additive exPlanations (SHAP) to enhance the interpretability and reliability of the ML models. The results show that TKAN outperforms LSTM but slightly lags behind TCN in streamflow forecasting.
View Article and Find Full Text PDFSci Total Environ
January 2025
Department of Civil and Environmental Engineering, Temple University, Philadelphia, PA 19122, USA. Electronic address:
This study investigated the regenerability of anion exchange resins for per- and polyfluoroalkyl substances (PFAS), focusing on the interaction between regenerant composition and resin characteristics. The influence of salt type and concentration on PFAS solubility revealed a general decline in perfluorohexane sulfonate (PFHxS) solubility with increased salt concentrations, most strongly with KCl followed by NaCl and NHCl. Mixed solubility results were observed for perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS).
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