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Implementation of Sensitive Method for Determination of Benzophenone and Camphor UV Filters in Human Urine.

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Department of Food Analysis and Nutrition, Faculty of Food and Biochemical Technology, University of Chemistry and Technology, Prague, Technicka 3, 166 28 Prague, Czech Republic.

The level of the human body's burden of benzophenone and camphor ultraviolet (UV) filters can be estimated from their urinary levels. The present study describes the implementations and validation of the sensitive analytical method for the analysis of seven benzophenone and two camphor UV filters in urine. Sample preparation includes overnight enzymatic hydrolysis and ethyl acetate extraction followed by purification by dispersive solid-phase extraction using a sorbent Z-Sep.

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Development and Application of an In Vitro Drug Screening Assay for Schistosomula Using YOLOv5.

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Infectious and Tropical Diseases Research Group (e-INTRO), Biomedical Research Institute of Salamanca, Research Centre for Tropical Diseases at the University of Salamanca (IBSAL-CIETUS), Faculty of Pharmacy, University of Salamanca, 37007 Salamanca, Spain.

Background: Schistosomiasis impacts over 230 million people globally, with 251.4 million needing treatment. The disease causes intestinal and urinary symptoms, such as hepatic fibrosis, hepatomegaly, splenomegaly, and bladder calcifications.

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Background And Objective: Artificial urinary sphincter (AUS) is commonly used in France in female patients with stress urinary incontinence (SUI) due to intrinsic sphincter deficiency (ISD). However, it has never been assessed using patient-reported outcomes. This study aimed to evaluate the functional outcomes of robotic AUS implantation using validated questionnaires.

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Purpose: While pump manipulation is rarely problematic in male patients with artificial urinary sphincters (AUSs), the situation may differ in female patients due to anatomical or cultural factors. This study aimed to evaluate the prevalence of difficulties in pump manipulation among female AUS patients, identify associated risk factors, and explore management strategies for this challenging issue.

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mCNN-glucose: Identifying families of glucose transporters using a deep convolutional neural network based on multiple-scanning windows.

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Department of Computer Science and Engineering, Yuan Ze University, Zhongli, Taoyuan 320315, Taiwan; Graduate program for Biomedical Informatics, Yuan Ze University, Zhongli, Taoyuan 320315, Taiwan. Electronic address:

Glucose transporters are essential carrier proteins that function on the phospholipid bilayer to facilitate glucose diffusion across cell membranes. The transporters play many physiological and pathological roles in addition to absorption and metabolism of fructose in food and the pathogenesis of gastrointestinal diseases. These carrier proteins play an important role in diseases of the nervous system, cardiovascular system, digestive system, and urinary system.

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