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Hospitalisation from seasonal influenza among persons with type 1 diabetes: a cohort study from the Swedish National Diabetes Register
Published 2025-02-01“…Objectives The aim of this study was to investigate the risk of severe influenza resulting in hospitalisation among adults with type 1 diabetes (T1D).Design Nationwide cohort study using register data.Settings Data from the National Diabetes Register (NDR) linked to the Swedish Patient Register, Statistics Sweden and the Swedish Population Register.Participants Persons with T1D in the Swedish NDR n=35 596 and control persons from the Swedish Population Register matched on age, sex and county of residence, n=155 590.Primary and secondary outcomes Hospitalisation from seasonal influenza from October 2013 to December 2019. …”
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A Comparative Study of Machine Learning Techniques for Predicting Mechanical Properties of Fused Deposition Modelling (FDM)-Based 3D-Printed Wood/PLA Biocomposite
Published 2025-08-01“…Given the intricate nature of the dataset and the presence of nonlinear relationships between parameters, XGBoost and AdaBoost exhibited exceptional performance. …”
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Generalization of artificial neural network for predicting methane production in laboratory-scale anaerobic bioreactor landfills
Published 2024-01-01“…The overall performance of the dataset resulted in correlation coefficients of 0.9991 and 0.9975. …”
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Human Detection and Action Recognition for Search and Rescue in Disasters Using YOLOv3 Algorithm
Published 2023-01-01“…To find the most effective model for human recognition and detection, we trained the YOLOv3 algorithm on the image dataset and evaluated its performance. We compared the outcomes with the existing algorithms like F-RCNN, SSD, and R-FCN. …”
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Optimising Palm Olein-Based Betamethasone 17-Valerate Emulsions for Scalable Manufacturing and Stability
Published 2025-01-01Get full text
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Influence of Type 1 Diabetes Mellitus on the Ocular Biometry of Chinese Children
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Development of a short version of the perceived social support scale: based on classical test theory and ant colony optimization
Published 2025-01-01“…During the exploratory analysis of dataset 1, the scale was simplified using both Classical Test Theory (CTT) and the Ant Colony Optimization (ACO), resulting in one short form for each approach. …”
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Integrated Bioinformatics-Based Identification of Potential Diagnostic Biomarkers Associated with Diabetic Foot Ulcer Development
Published 2021-01-01“…In total, 1192 DEGs were identified in the GSE7014 dataset (900 upregulated, 292 downregulated), while 1177 were identified in the GSE29221 dataset (257 upregulated, 919 downregulated). …”
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Construction and Investigation of MicroRNA-mRNA Regulatory Network of Gastric Cancer with Helicobacter pylori Infection
Published 2020-01-01“…Results. 22 DEMs and 68 DEGs were identified in GSE197694 and GSE27411 dataset. 16 miRNAs and 509 genes were involved in the expression network, while the cross-genes of the network were mainly enriched in MAP kinase (MAPK) signaling pathway and TGF-beta signaling pathway. …”
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Prognostic values of intracellular cell-related genes in esophageal cancer and their regulatory mechanisms
Published 2025-01-01“…The Cancer Genome Atlas (TCGA) Esophageal Cancer (ESCA) dataset served as the training set for the analysis. …”
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Convolutional Attention Based Mechanism for Facial Microexpression Recognition
Published 2025-01-01“…The research uses SAMM, SMIC, and CASME-II are benchmark datasets used to perform experiments. ConvMixer deployed to analyze the SAMM dataset where ConvMixer achieved an amazing 99.73% accuracy, 97.3% precision, 96.5% recall, and 99% F1-Score while 10-fold cross-validation. …”
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The effect of water content in soil media on the hatchability of Bractocera dorsalis pupae
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Investigating uncertainty and parameter sensitivity in bedform analysis by using a Monte Carlo approach
Published 2025-02-01“…We applied the workflow to a test dataset from the Lower Rhine in Germany that was collected by the German Federal Waterways and Shipping Administration in February 2020. …”
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Development and validation of a novel bleeding risk prediction tool for aspirin users with a low body mass index
Published 2025-02-01“…The model exhibited an AUC of 0.832 (95% CI: 0.788–0.875) in the training dataset and 0.775 (95% CI: 0.698–0.853) in the test dataset, indicating excellent discriminatory performance. …”
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