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- A Novel Nomogram for Predicting Endometrial Malignancy in Postmenopausal WomenPostmenopausal women who underwent diagnostic hysteroscopy at Beijing Daxing District People’s Hospital between August 2019 and July 2024 were enrolled in our retrospective study. Beijing Daxing District People's Hospital is a tertiary care center with a high volume of endometrial cancer cases, whose study population reflects the demographic and clinical characteristics typically seen in this region. Inclusion criteria required: 1) documented transvaginal ultrasound (TVUS) measurements of endometrial thickness within 4 weeks prior to procedure; 2) successful hysteroscopy biopsy or lesion excision; 3) pathological confirmation by institutional pathologists; and 4) complete clinical documentation. Exclusion criteria comprised incomplete data, type II endometrial carcinoma, mixed endocrine-reproductive tumors, and conditions mandating hysteroscopy (e.g., submucosal fibroids or polyps). The final study cohort comprised 1,146 participants who were stratified histopathologically into two distinct groups: those with benign endometrial conditions including normal endometrium, hyperplasia, polyps, fibroids, adenofibromas, or endometritis, and those with malignant pathology encompassing atypical endometrial hyperplasia (AEH) or endometrial carcinoma, reflecting the recognized pathological spectrum from benign hyperplasia to malignant transformation.
- Table The table is a quantitative analysis using Smart PLS4, including Operational Research of Variables, Construct Reliability and Validity, Fornell-Larcker Criterion, Path Coefficients, and R-squared.
- NitrogenThis dataset was used in the study.
- T Cell Signature Characterizes Immune Subtypes and Predicts Prognosis in Esophageal Squamous Cell CarcinomaThis dataset contains interactive HTML versions of key figures from the manuscript. Included are: UMAP_3D_plot1.html: Corresponds to Fig. 1B, showing the distribution of 206,676 cells from 60 ESCC tumor tissues and 4 normal tissues. Heatmap_1.html: Corresponds to Fig. 1D, showing cell type signature gene expression. Bar chart_1.html:Corresponds to Fig. 1E, showing proportional distribution of cell subtypes across different sample types. UMAP_3D_plot2.html: Corresponds to Fig. 4A, showing he distribution of 96,395 cells in the PRJNA777911 dataset. Heatmap_3.html: Corresponds to Fig. 4B, showing cell type signature gene expression.
- Global environmental changes threaten the feeding activity of soil detritivoresThis dataset contains all the original data from the Current Biology paper: Global environmental changes threaten the feeding activity of soil detritivores.
- Association between CKD and frailty in the FRASNET studyThe dataset includes the row data shown in Tables 1-2 and in graph in Figure 1 of the paper: Lanzani C, Citterio L, Concas MP, Barruscotti A, Zagato L, Simonini M, Brioni E, El Boustani M, Damanti S, Rovere-Querini P, Manfredi AA, Manunta P. The association between CKD and frailty in the FRASNET study: suggestion of a novel eGFR threshold as a key determinant of frailty in the elderly. Journal of Nephrology 2025. doi: 10.1007/s40620-025-02442-y This study deals with frailty, a geriatric syndrome marked by reduced physiological reserves, linked to organ dysfunction. However, the specific contribution of kidney function to frailty remains underexplored. The aim is to assess the impact of kidney function on frailty in a large population of older adults. The FRASNET (Frailty and Sarcopenia Network) cohort included 1183 individuals (59.9% females, age 65–93). Among them, 27.7% of subjects were classified as robust, 37.6% were pre-frail, and 34.7% were frail. The prevalence of frailty increased with age (43% in individuals over 76 years of age) and was associated with obesity (28.3%) and polytherapy (23.2%). Whole estimated glomerular filtration rate (eGFR) was 73.8 (IQR 62.4, 84.7) ml/min/1.73 m2. The prevalence of chronic kidney disease (CKD) increased across frailty classes from 15.2% in robust to 29.0% in frail individuals (P < 0.001). Among young-old subjects (65–75 years old), comorbidity was the main determinant of frailty, whereas in older subjects, when eGFR was below 53.5 ml/min/1.73 m2, it was associated with frailty (P < 0.002). Fractional excretion of sodium progressively increased across frailty classes, from 0.71% in robust individuals (IQR 0.46–1.03) to 0.79% in frail subjects (IQR 0.48–1.17) (P = 0.04). This study revealed a strong relationship between CKD and frailty, identifying a new eGFR threshold associated with frailty in older adults, thus highlighting the potential role of the often-overlooked tubular function in older individuals.
- Soil carbon poolTo investigate the potential impacts of bracket type, soil depth, and panel zone location on soil properties within the photovoltaic power station, a systematic soil survey was conducted at the Talatan photovoltaic power station from 2023 to 2024. Sampling encompassed the freeze-thaw period (March-April), non-freezing period (May-October), and freezing period (November-February). The survey adhered to the technical principles of “randomization, “equal quantity”, and “multi-point mixing” as outlined in the “Specifications for Soil Observation Indicators in Terrestrial Ecosystems” (Pan et al., 2019) (Fig. 1c, d). During the investigation process, three sampling points were randomly selected within each type of photovoltaic bracket—Fixed-angle (FABs), Semi-tracking (STBs), and Tracking (TBs)—based on their spatial distribution.
- Modeling the Impacts of Worker Fatigue on Order Batching and Sequencing in a Put-Wall-assisted Based Order Fulfillment SystemDataset: Worker Fatigue in Put-Wall Order Fulfillment System Description This repository contains supplementary materials for the paper "Modeling the Impacts of Worker Fatigue on Order Batching and Sequencing in a Put-Wall-assisted Based Order Fulfillment System". The dataset includes algorithm pseudocode and test instances used in our computational experiments. Repository Contents 1. Algorithm Pseudocode (pseudocode.txt) This text file contains detailed pseudocode for the four benchmark heuristic algorithms implemented and compared in our study:CBSA,SGA,and GVNS. Each algorithm section includes: Input/output specifications,Key parameters and fatigue modeling components,Main procedural steps with detailed comments,Fatigue accumulation and recovery mechanisms 2. Test Instances (test_instances.zip) Compressed archive containing order fulfillment test instances of varying complexity: Small-Scale Instances ( 10 set of instances);large-Scale Instances ( 5 set of instances);
- FigureThis data contains images illustrating the conceptual framework model hypothesis, the Results of the path analysis, a Word Cloud Analysis, and a Cluster Analysis.
- Rapid Evolution and Transmission of Porcine Sapelovirus: A Looming Threat to Swine HerdsGenes of Porcine Sapelovirus prevalent in Northeast China from 2015 to 2022
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