The Constellation of Macrovascular Risk Factors in Early Onset T2DM: A Cross-Sectional Study in Xinjiang Province, China by Mingchen Zhang, Jiangfeng Mao, Ablikm Tuerdi, Xiaoyun Zeng, Li Quan, Shan Xiao, Jun Zhu, Hua Yao

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NIR‐II AIEgens nanosystem for fluorescence and chemiluminescence synergistic imaging‐guided precise resection in osteosarcoma surgery by Ruotong Li, Kaiyuan Liu, Qian Hu, Jiakang Shen, Dongqing Zuo, Hongsheng Wang, Xingjun Zhu, Wei Sun

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Low apolipoprotein A1 and high apolipoprotein B levels indicate specific lipid changes in treatment naïve early psoriatic arthritis by Kurt de Vlam, Rik Lories, M Van Mechelen, Sofia Pazmino, P Verschueren, Barbara Neerinckx, Lies Storms, Alla Ishchenko

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Determinants of rural practice among a cohort of dental professionals in Australia by Santosh Kumar Tadakamadla, Sudheer Babu Balla, Jyothi Tadakamadla, Libby Semmens, Sarah Down, Carol McKinstry, Jane Mills

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Computerized QT and QTc Measurements From Bedside ICU Monitors Are Similar to Those Derived From a Standard 12‐Lead ECG by Arthur Murray, Karolina Ho, Thomas J. Hoffmann, Gopika K. Ganesh, Shelvin Prasad, Sarah Berger, Cass Sandoval, Amy Larsen, Hildy Schell‐Chaple, Michele M. Pelter

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Impact of geochemical reactivity on desulphation requirements in a sandstone reservoir containing carbonate and sulphate minerals by Ali M. Al-Behadili, Eric J. Mackay

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Optical coherence tomography angiography reveals abnormal retinal vascular density and perfusion in patients with X-linked adrenoleukodystrophy: a cross-sectional study by Lujie Zhang, Yongqiu Yu, Ting Liu, Chongyi Li, Liang Tan, Shuiqian Wen

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Employing the concept of stacking ensemble learning to generate deep dream images using multiple CNN variants by Lafta Alkhazraji, Ayad R. Abbas, Abeer S. Jamil, Zahraa Saddi Kadhim, Wissam Alkhazraji, Sabah Abdulazeez Jebur, Bassam Noori Shaker, Mohammed Abdallazez Mohammed, Mohanad A. Mohammed, Basim Mohammed Al-Araji, Abdulkareem Z. Mohmmed, Wasiq Khan, Bilal Khan, Abir Jaafar Hussain

“…The resulting dream-like images contain shapes that reflect elements from the ImageNet dataset on which the above pre-trained models were trained. …”
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Reshaping Our Understanding of Sensation and Pain Following Breast Reduction Surgery by Katya Remy, MD, Curtis L. Cetrulo, Jr, MD, Colby J. Hyland, MD, Riley Baker, BS, Anna Reaman, BS, Krishna Vyas, MD, PhD, Lisa Gfrerer, MD, PhD, William G. Austen, Jr, MD, Katherine H. Carruthers, MD

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Death and disappearance: Measuring racial disparities in mortality and life expectancy among people in state prisons, United States 2000-2014. by Bryan L Sykes, Ernest K Chavez, Justin D Strong

“…<h4>Methods</h4>Drawing on a novel dataset created and curated, we calculate standard, age- specific quantities (death rates and life-expectancy) using period lifetable methods, disaggregated by race and sex, across three different periods (2000-2004, 2005-2009, and 2010-2014) for each state. …”
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The Potential Clinical Utility of the Customized Large Language Model in Gastroenterology: A Pilot Study by Eun Jeong Gong, Chang Seok Bang, Jae Jun Lee, Jonghyung Park, Eunsil Kim, Subeen Kim, Minjae Kimm, Seoung-Ho Choi

“…However, RAG capabilities by enabling real-time retrieval of external data not included in the training dataset, appear essential for managing complex, specialized content, and clinician oversight will remain crucial to ensure safe and effective use in clinical practice.…”
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A Fine-Grained Aircraft Target Recognition Algorithm for Remote Sensing Images Based on YOLOV8 by Xiao-Nan Jiang, Xiang-Qian Niu, Fan-Lu Wu, Yao Fu, He Bao, Yan-Chao Fan, Yu Zhang, Jun-Yan Pei

“…Experiments conducted on the public remote sensing image dataset FAIR1M demonstrated that the YOLOv8n algorithm achieved a mean average precision (mAP) of 81.8&#x0025; for aircraft category recognition tasks. …”
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Multi-scale channel attention U-Net: a novel framework for automated gallbladder segmentation in medical imaging by Yiming Zhou, Xiaobo Wen, Xiaobo Wen, Kang Fu, Meina Li, Lin Sun, Xiao Hu

“…The images and ground truth constitute a dataset, which was proportionally divided into a training set (54%), a validation set (6%), and a test set (40%). …”
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Deep Learning in Oral Hygiene: Automated Dental Plaque Detection via YOLO Frameworks and Quantification Using the O’Leary Index by Alfonso Ramírez-Pedraza, Sebastián Salazar-Colores, Crystel Cardenas-Valle, Juan Terven, José-Joel González-Barbosa, Francisco-Javier Ornelas-Rodriguez, Juan-Bautista Hurtado-Ramos, Raymundo Ramirez-Pedraza, Diana-Margarita Córdova-Esparza, Julio-Alejandro Romero-González

“…<b>Methods</b>: We compiled a dataset of 531 RGB images from 177 individuals, captured via multiple mobile devices. …”
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Laryngeal cancer diagnosis based on improved YOLOv8 algorithm by Xin Nie, Xueyan Zhang, Di Wang, Yuankun Liu, Lumin Xing, Wenjian Liu

“…The experiments utilized a real-world endoscopic image dataset from the hospital, and the results indicated that MSEC-YOLO outperformed the original YOLOv8 model and its multi-kernel versions across multiple evaluation metrics, especially in critical categories such as malignant tumors, polyps, and papillomas, demonstrating extremely high precision and recall rates.…”
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Elevated Circulating hsa-miR-106b, hsa-miR-26a, and hsa-miR-29b in Type 2 Diabetes Mellitus with Diarrhea-Predominant Irritable Bowel Syndrome by Wenhua Tao, Xiaoyun Dong, Guimei Kong, Penghua Fang, Xiaoli Huang, Ping Bo

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A Cross-Stage Focused Small Object Detection Network for Unmanned Aerial Vehicle Assisted Maritime Applications by Gege Ding, Jiayue Liu, Dongsheng Li, Xiaming Fu, Yucheng Zhou, Mingrui Zhang, Wantong Li, Yanjuan Wang, Chunxu Li, Xiongfei Geng

“…The CFSD-UAVNet model was evaluated on the publicly available SeaDronesSee maritime dataset and compared with other cutting-edge algorithms. …”
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Fish Scale-Derived Scaffolds for Culturing Human Corneal Endothelial Cells by Mohit Parekh, Bert Van den Bogerd, Nadia Zakaria, Diego Ponzin, Stefano Ferrari

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Genetic parameters and parental and early-life effects of boar semen traits by Pedro Sá, Rodrigo M. Godinho, Marta Gòdia, Claudia A. Sevillano, Barbara Harlizius, Ole Madsen, Henk Bovenhuis

“…Abstract Background The objectives of this study were to estimate genetic parameters and studying the influence of early-life and parental factors on the semen traits of boars. The dataset included measurements on 449,966 ejaculates evaluated using a Computer-Assisted Sperm Analysis (CASA) system from 5692 artificial insemination (AI) boars. …”
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%diag_test: a generic SAS macro for evaluating diagnostic accuracy measures for multiple diagnostic tests by Jacques K. Muthusi, Peter W. Young, Frankline O. Mboya, Samuel M. Mwalili

“…It is simple to use as the user only needs to specify the input dataset, “standard” and “test” variables and threshold values. …”
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