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World J Urol
January 2025
Department of Urology, Azienda Socio Sanitaria Territoriale Lariana, Como, Italy.
Purpose: To compare the effect on sexual function of ejaculation-sparing enucleation of the prostate using Thulium: YAG laser (ES-ThuLEP) versus continuous-wave Thulium Fiber Laser (ES-ThuFLEP).
Methods: 112 patients with lower urinary tract symptoms secondary to benign prostatic hyperplasia who wished to preserve ejaculation were treated. 58 patients underwent ES-ThuLEP (Group A) using the Cyber TM generator.
Gerontologist
January 2025
School of Aging Studies, University of South Florida, Tampa, Florida, USA.
Background And Objectives: To better understand racial/ethnic disparities in hearing aid use, we examined racial differences in discrepancies between subjective hearing ratings and objective hearing tests as a potential source of this disparity.
Research Design And Methods: A cross-sectional assessment was conducted using the data from the Health and Retirement Study (HRS). Our analytic sample included 2,568 participants aged 50 and older: 1,814 non-Hispanic White Americans and 754 non-Hispanic Black Americans.
J Agric Food Chem
January 2025
Institute of Food Chemistry, Technische Universität Braunschweig, Schleinitzstraße 20, 38106 Braunschweig, Germany.
Visually appealing foods are often associated by consumers with subjective quality features, such as freshness, palatability, and shelf life. In the past, there have been repeated violations in which regulations on the use of pigments in food were ignored and/or unauthorized or toxic dyes (e.g.
View Article and Find Full Text PDFACS Electrochem
January 2025
Department of Chemistry and Biochemistry, University of California Los Angeles, Los Angeles, California 90095, United States.
In electrochemical analysis, mechanism assignment is fundamental to understanding the chemistry of a system. The detection and classification of electrochemical mechanisms in cyclic voltammetry set the foundation for subsequent quantitative evaluation and practical application, but are often based on relatively subjective visual analyses. Deep-learning (DL) techniques provide an alternative, automated means that can support experimentalists in mechanism assignment.
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