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Sex-associated differences in baseline urinary metabolites of healthy adults. [PDF]
, 2018 The biological basis for gender variability among disease states is not well established. There have been many prior efforts attempting to identify the unique urine metabolomic profiles associated with specific diseases.
Anger, Jennifer T +6 more
core +1 more source
ggalign: Bridging the Grammar of Graphics and Biological Multilayered Complexity
Advanced Science, EarlyView.The ggalign package provides a comprehensive framework for composable visualization built on top of ggplot2. Its primary purpose is to enable the construction of complex multi‐plot layouts with consistent observation alignment across plots, particularly for high‐dimensional data contexts such as genomics, transcriptomics, and microbiome studies ...
Yun Peng +9 more
wiley +1 more source
Nursing Reports(1) Background: Job satisfaction and professional burnout directly impact human life, depending on various professional, non-professional, and private determinants. Nurses, in particular, are highly susceptible to experiencing professional burnout, which,
Katarzyna Jarosz, Agnieszka Młynarska
doaj +1 more source
Prevalence of Urinary Incontinence in Women Referred to Urology Clinics in Yazd City in 2019-2020
Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Shahīd Ṣadūqī Yazd, 2022 Introduction: Urinary incontinence is one of the most common problems among women that has significant effects on various aspects of their lives. The aim of this study was to investigate the prevalence of urinary incontinence and risk factors in women ...
Hormoz Karami +5 more
doaj
Advanced Science, EarlyView.This work constructs magnetic nanoparticles (MNPs) and incorporates them with silver rods coated with 125I to form a novel composite seed, which exhibits direction‐independent and self‐regulated heating efficiency, as well as the capacity of preventing MNPs leakage and enabling repeated hyperthermia.
Bin Xu +22 more
wiley +1 more source
Advanced Science, EarlyView.Accurate preoperative detection of muscle‐invasive urothelial carcinoma (MIUC) is crucial for clinical decision‐making. This study developed PUCAS‐M, an artificial intelligence (AI) model that analyzes urine cytology to assist in differentiating MIUC from non‐MIUC.
Runnan Shen +19 more
wiley +1 more source