Gene expression analysis reveals mir-29 as a linker regulatory molecule among rheumatoid arthritis, inflammatory bowel disease, and dementia: Insights from systems biology approach... by Devi Soorya Narayana S, Vino Sundararajan

“…<h4>Methodology</h4>Ten microarray datasets each for RA, and IBD, and nine datasets for dementia were obtained from Gene Expression Omnibus. …”
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Computational Study Protocol: Leveraging Synthetic Data to Validate a Benchmark Study for Differential Abundance Tests for 16S Microbiome Sequencing Data [version 2; peer review: 2... by Clemens Kreutz, Eva Kohnert

“…Building on Nearing et al.’s study (1), who assessed 14 differential abundance tests using 38 experimental 16S rRNA datasets in a case-control design, we are generating synthetic datasets that mimic the experimental data to verify their findings. …”
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Variations in Water Stress and Its Driving Factors in the Yellow River Basin by Haodong Lyu, Jianmin Qiao, Gonghuan Fang, Wenting Liang, Zidong Tang, Furong Lv, Qin Zhang, Zewei Qiu, Gengning Huang

“…This analysis utilized land use datasets, socio-economic datasets, irrigation datasets, water withdrawal/consumption datasets, and runoff datasets from 2000 to 2020. …”
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Systemic Air Embolism Associated with Pleural Pigtail Chest Tube Insertion by Emad Alkhankan, Ahmad Nusair, Rida Mazagri, Mohammed Al-Ourani

“…Pleural pigtail catheter placement is associated with many complications including pneumothorax, hemorrhage, and chest pain. …”
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Purple Urine Bag Syndrome in Two Elderly Men with Urinary Tract Infection by Jan Van Keer, Daan Detroyer, Bert Bammens

“…There was a sudden purple discoloration of the urine in the collection bag from his indwelling catheter. He was diagnosed with an E. coli urinary infection and treated with amoxicillin and removal of the indwelling catheter. …”
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A Generalized Zero-Shot Deep Learning Classifier for Emotion Recognition Using Facial Expression Images by Vishal Singh Bhati, Namita Tiwari, Meenu Chawla

“…The newly developed classifier is meticulously calibrated and optimized using facial expression datasets. Six different datasets of facial expressions were employed to test the effectiveness of the proposed method: FER2013, AffectNet, RAF-DB, CK+, KDEF, and JAFEE. …”
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Enhancing surface detection: A comprehensive analysis of various YOLO models by G. Deepti Raj, B. Prabadevi

“…Additionally, CoordAtt integration minimizes the parameter count by 25 % and gives higher accuracy on one of the datasets. Comparative analysis with YOLOv6, YOLOv7, and YOLOv8 demonstrates the superior accuracy of the enhanced YOLOv5 model on the NEU-DET and GC10-DET steel strip benchmark datasets, highlighting its effectiveness in detecting and timely recognition of actual defects.…”
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Coincidence Detection Using Spiking Neurons with Application to Face Recognition by Fadhlan Kamaruzaman, Amir Akramin Shafie, Yasir M. Mustafah

“…Performance evaluations with face datasets such as AR, FERET, JAFFE, and CK+ datasets show that the proposed method delivers better face classification performance than the network trained with Supervised Synaptic-Time Dependent Plasticity (STDP). …”
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TXtreme: transformer-based extreme value prediction framework for time series forecasting by Hemant Yadav, Amit Thakkar

“…Extensive experiments are conducted using datasets from different domains to show the robustness of the proposed methodology. …”
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Clustering Large-Scale Biomedical Data to Model Dynamic Accumulation Processes in Disease Progression and Anti-Microbial Resistance Evolution by Kazeem A. Dauda, Olav N. L. Aga, Iain G. Johnston

“…Here, we demonstrate how clustering can make such large-scale datasets tractable for powerful accumulation modelling approaches. …”
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Predictive Modeling for Electric Vehicle Battery State of Health: A Comprehensive Literature Review by Jianqiang Gong, Bin Xu, Fanghua Chen, Gang Zhou

“…In addition, this paper also systematically reviews the indicators of battery SOH, influential factors affecting battery SOH, and various datasets used for SOH modeling. Future research should focus on integrating multiple modeling methodologies to leverage their combined strengths, enhancing the collection of comprehensive battery lifecycle datasets to support robust model development, and extending the scope of SOH estimation beyond individual cells to encompass entire battery packs.…”
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Fast binary logistic regression by Nurdan Ayse Saran, Fatih Nar

“…We also demonstrate the effectiveness of our fast binary logistic regression (FBLR) method on various datasets from the OpenML repository in addition to synthetic datasets.…”
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Severe, but not moderate asthmatics share blood transcriptomic changes with post-traumatic stress disorder and depression. by Sandor Haas-Neill, Anna Dvorkin-Gheva, Paul Forsythe

“…We performed differential expression (DE) analysis and Gene Set Enrichment Analysis (GSEA) on diseased subjects against the healthy subjects from their respective datasets, compared the results between diseases, and validated DE genes and gene sets with 4 more independent datasets. …”
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Pneumonia detection from X-ray images using federated learning–An unsupervised learning approach by Neeta Rana, Hitesh Marwaha

“…The development of robust diagnostic tools faces a critical challenge: the lack of access to large, labeled training datasets. This challenge arises because of privacy concerns about medical data. …”
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Exploring Deep Learning–Based Models for Sociocultural African Food Recognition System by Grace Ataguba, Mona Alhasani, James Daniel, Emeka Ogbuju, Rita Orji

“…Using the datasets, we developed and trained a deep learning model for recognizing African foods. …”
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NIRS-BIDS: Brain Imaging Data Structure Extended to Near-Infrared Spectroscopy by Robert Luke, Robert Oostenveld, Helena Cockx, Guiomar Niso, Maureen J Shader, Felipe Orihuela-Espina, Hamish Innes-Brown, Stephen Tucker, David Boas, Meryem A. Yücel, Remi Gau, Taylor Salo, Stefan Appelhoff, Christopher J. Markiewicz, David McAlpine, The BIDS Maintainers, Luca Pollonini

“…This problem is not new in neuroimaging, and it became evident years ago with the proliferation of publicly available neuroimaging datasets. To solve this critical issue, the neuroimaging community created the Brain Imaging Data Structure (BIDS) that specifies standards for how datasets should be organized to facilitate sharing and reproducibility of science. …”
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Bernoulli Poisson Moment Exponential Distribution: Mathematical Properties, Regression Model, and Applications by Amani Alrumayh

“…The maximum likelihood estimation method is used to estimate the model parameters. In the end, three datasets from different fields are utilized for application purposes. …”
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A Novel Ant Colony Optimization Algorithm for Large Scale QoS-Based Service Selection Problem by Changsheng Zhang, Hao Yin, Bin Zhang

“…We evaluate our approach experimentally using standard real datasets and synthetically generated datasets and compared it with the recently proposed related service selection algorithms. …”
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Modification of the No-Touch Technique during Renal Artery Stenting by John A. Stathopoulos

“…We describe a modification of the no-touch technique by using an over-the-wire (OTW) balloon or a Quickcross catheter with a coronary wire inside, instead of the rigid  J wire. …”
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SenPred: a single-cell RNA sequencing-based machine learning pipeline to classify deeply senescent dermal fibroblast cells for the detection of an in vivo senescent cell burden by Bethany K. Hughes, Andrew Davis, Deborah Milligan, Ryan Wallis, Federica Mossa, Michael P. Philpott, Linda J. Wainwright, David A. Gunn, Cleo L. Bishop

“…However, emerging scRNA-seq datasets have enabled an increased understanding of senescent cell heterogeneity. …”
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