Objective: Sarcopenia, a condition characterized by the progressive loss of skeletal muscle mass and strength, poses significant challenges in research due to missing data. Incomplete datasets undermine the accuracy and reliability of studies, necessitating effective imputation techniques. This study conducts a comparative analysis of three advanced methods-multiple imputation by chained equations (MICE), support vector regression, and K-nearest neighbors (KNN)-to address data completeness issues in sarcopenia research.
View Article and Find Full Text PDFThis study investigates the degradation of TCB in methanol, ethanol, hexane, and benzene solutions using gamma radiolysis. Kinetic properties of TCB dechlorination and its pathway are examined, with TCB selected as a representative chlorinated organic compound. Chromatograms of irradiated samples and mass spectra of liquid-phase products are presented.
View Article and Find Full Text PDFEconomist (Leiden)
February 2023
This paper analyzes the impact of automatic wage indexation on employment. To boost competitiveness and increase employment, Belgium suspended its automatic wage indexation system in 2015. This resulted in a 2% fall in real wages for all workers.
View Article and Find Full Text PDFTajikistani migrants who work in Russia and acquire HIV seldom receive HIV treatment while in Russia. Barriers to engagement in the HIV care cascade were identified from in-depth, semi-structured interviews with purposefully sampled Tajikistani migrants (n = 34) with HIV who had returned from Russia. Data were analyzed using thematic analysis, drawing from Putnam's theory of social capital, showing how bridging and bonding social capital relate to poor engagement in HIV care.
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