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In recent years, remote sensing data have revealed considerable potential in unraveling crucial information regarding water balance dynamics due to their unique spatiotemporal distribution characteristics, thereby advancing multi-objective optimization algorithms in hydrological model parameter calibration. However, existing optimization frameworks based on the Soil and Water Assessment Tool (SWAT) primarily focus on single-objective or multiple-objective (i.e., two or three objective functions), lacking an open, efficient, and flexible framework to integrate many-objective (i.e., four or more objective functions) optimization algorithms to satisfy the growing demands of complex hydrological systems. This study addresses this gap by designing and implementing a multi-objective optimization framework, Py-SWAT-U-NSGA-III, which integrates the Unified Non-dominated Sorting Genetic Algorithm III (U-NSGA-III). Built on the SWAT model, this framework supports a broad range of optimization problems, from single- to many-objective. Developed within a Python environment, the SWAT model modules are integrated with the Pymoo library to construct a U-NSGA-III algorithm-based optimization framework. This framework accommodates various calibration schemes, including multi-site, multi-variable, and multi-objective functions. Additionally, it incorporates sensitivity analysis and post-processing modules to shed insights into model behavior and evaluate optimization results. The framework supports multi-core parallel processing to enhance efficiency. The framework was tested in the Meijiang River Basin in southern China, using daily streamflow data and Penman–Monteith–Leuning Version 2 (PML-V2(China)) remote sensing evapotranspiration (ET) data for sensitivity analysis and parallel efficiency evaluation. Three case studies demonstrated its effectiveness in optimizing complex hydrological models, with multi-core processing achieving a speedup of up to 8.95 despite I/O bottlenecks. Py-SWAT-U-NSGA-III provides an open, efficient, and flexible tool for the hydrological community that strives to facilitate the application and advancement of multi-objective optimization in hydrological modeling. [ABSTRACT FROM AUTHOR]

Objective To explore the mediating effect of depression between life self-care ability and frailty. Methods Based on data from the China Health and Retirement Longitudinal Study (CHARLS), Pearson correlation analysis, linear regression model and Bootstrap repeated sampling method were used to analyse the relationships and mediating effects between activity of daily living, depression and frailty. Results A total of 1 554 middle-aged and elderly people aged 45 years or older were included. The prevalence of debility was 14.1%, with a self-care score of 5.9 ± 0.4 and a depression score of 9.4 ± 6.0. Activity of daily living was significantly negatively correlated with depression and frailty (r = -0.14, r = -0.23, both P < 0.001), and depression and frailty were positively correlated (r = 0.34, P < 0.001). Activity of daily living (β = -0.164, P < 0.001) and depression (β = 0.013, P < 0.001) were influences on frailty, and depression partially mediated the relationship between activity of daily living and frailty, with a mediating effect of 12.17%. Conclusion Depression reduces the ameliorative effect of self-care ability on debility. [ABSTRACT FROM AUTHOR]

From the view of the mill main driving control system,instability model of the electromechanical system and control strategy were researched. In the premise of ensuring the steady and dynamic performance of the control system,the model of main drive of two inertial systems was simplified,the inside and outside disturbance of the system was observed by linear extended state observer. By linear feedback and dynamic error feedback method,the detection and control of electromechanical system failure were achieved. The closed loop controller design method based on simplified differential equation model was proposed,and validated by simulation and experiment. The results show that this study has a significant effect on solving the instability caused by load changes of rolling mill system.

Lycium genus (Goji berry) is recognized as a good source of homology of medicine and food, with various nutrients and phytochemicals. Lately, numerous studies have focused on the chemical constituents and biological functions of the L. barbarum L., covering phytochemical and pharmacological aspects. We aim to provide exclusive data on the nutrients of L. barbarum L. fruits and phytochemicals, including their structural characterization, the evolution of extraction, and purification processes of different phytochemicals of L. barbarum L. fruit while placing greater emphasis on their wide-ranging health effects. This review also profitably offers innovative approaches for the food industry and industrial applications of L. barbarum L. and addresses some current situations and problems in the development of L. barbarum L. in deep processing products, which can provide clues for the sustainable development of L. barbarum L. industry. [ABSTRACT FROM AUTHOR]