Investigation of Fructus sophorae extract’s therapeutic mechanism in atrophic vaginitis based on network pharmacology and experimental validation by Jiarui Zheng, Jiarui Zheng, Weiming Wang, Wenting Song, Yehao Zhang, Mingjiang Yao, Guangrui Wang, Zishan Huang, Feng Li, Junguo Ren, Li Lin, Xiaodi Fan, Jianxun Liu

“…ObjectiveThis study systematically elucidates the therapeutic mechanism of Fructus sophorae extract (FSE) against atrophic vaginitis (AV) by integrating network pharmacology with in vitro experimental validation.MethodsPotential drug targets of FS and AV-related disease targets were systematically retrieved from TCMSP, SWISS Target Prediction, GeneCards, and DisGeNET databases. …”
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Damage index correlation in massive granite-porous backfills under hydromechanical triaxial cyclic loading using acoustic emissions and X-ray computed tomography by Xin Yu, Yuye Tan, Shengwen Qi, Weidong Song, John Kemeny, Bowen Zheng, Songfeng Guo

“…The damage indices derived from different methods can be mathematically correlated, providing a comprehensive evaluation of material damage states. …”
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A Real-Time Vision-Based Adaptive Follow Treadmill for Animal Gait Analysis by Guanghui Li, Salif Komi, Jakob Fleng Sorensen, Rune W. Berg

“…Here, we introduce a series of real-time adaptive treadmill systems utilizing both marker-based visual fiducial systems (colored blocks or AprilTags) and marker-free (pre-trained models) tracking methods powered by advanced computer vision to track experimental animals. …”
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Temporal, spatial and demographic distributions characteristics of COVID-19 symptom clusters from chinese medicine perspective: a systematic cross-sectional study in China from 201... by Bin Liu, Tian Song, Mingzhi Hu, Zhaoyuan Gong, Qianzi Che, Jing Guo, Lin Chen, Haili Zhang, Huizhi Li, Ning Liang, Jing Wan, Kunfeng Wang, Yanping Wang, Nannan Shi, Luqi Huang

“…Consequently, this study seeks to explore the temporal, spatial and demographic distributions characteristics of Corona Virus Disease 2019 (COVID-19) symptom clusters in China. Methods PubMed, Web of Science, Science direct, WHO, Litcovid, CNKI databases were searched from inception until December 31, 2023. …”
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Synthesis and Evaluation of ⁶⁸Ga- and ¹⁷⁷Lu-Labeled [diF-Pro¹⁴]Bombesin(6−14) Analogs for Detection and Radioligand Therapy of Gastrin-Releasing Pe... by Lei Wang, Chao-Cheng Chen, Devon Chapple, Antonio A. W. L. Wong, Sara Kurkowska, Wing Sum Lau, Carlos F. Uribe, François Bénard, Kuo-Shyan Lin

“…Both [⁶⁸Ga]Ga-LW02060 and [⁶⁸Ga]Ga-LW02080 enabled clear tumor visualization in PET images at 1 h post-injection (pi). …”
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Holo‐Stroke‐CTA: Stroke Hologram Teleportation for CTA Large Vessel Occlusion Assessments by Nadir Weibel, Ben Shifflett, Weichen Liu, Jacob Lin, Yasaman Pirahanchi, Jeffrey Bowers, Vikas Ravi, Julián Carrión‐Penagos, Melissa Mortin, Lovella Hailey, Divya S. Bolar, Reza Bavarsad Shahripour, Kunal Agrawal, Royya Modir, Dawn M. Meyer, Thomas M. Hemmen, Brett C. Meyer

“…Background Augmented reality enables visualization of and interaction with both physical and virtual environments. …”
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Trends and Patterns of Antimicrobial Resistance in a Tertiary Care Hospital in Bangladesh by Sangjukta Roy, Hridika Talukder Barua, Mohammad Julhas Sujan, Akram Hossain, Shyamal Kumar Paul, Syeda Anjuman Nasreen, Salma Ahmed, Nazia Haque, Zakir Hossain Habib, Aninda Rahman, S. M. Shahriar Rizvi, Md. Abul Hasnat, Soo Young Kwon, John Stelling, Sanjay Gautam, Alina Shaw, Florian Marks, Nimesh Poudyal

“…In this study, we analyze and present four years of data on AMR from a tertiary care hospital in Bangladesh to inform policymakers and the wider community. <b>Methods:</b> In a retrospective cross-sectional study, we collected data for 4403 bacterial isolates reported between January 2017 and February 2020 at Mymensingh Medical College Hospital (MMCH), Bangladesh. …”
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Silent Revolution in Research for Sustainability by Bruce Alder

“…The answer lies in the fact that universities and research centres persist with 19th century methods of data gathering, scholarly analysis, and journal articles. …”
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Leveraging Artificial Intelligence and Clinical Laboratory Evidence to Advance Mobile Health Applications in Ophthalmology: Taking the Ocular Surface Disease as a Case Study by Mini Han Wang, Yi Pan, Xudong Jiang, Zhiyuan Lin, Haoyang Liu, Yunxiao Liu, Jiazheng Cui, Jiaxiang Tan, Chengqi Gong, Guanghui Hou, Xiaoxiao Fang, Yang Yu, Moawiya Haddad, Marion Schindler, José Lopes Camilo Da Costa Alves, Junbin Fang, Xiangrong Yu, Kelvin Kam‐Lung Chong

“…These constraints underscore the need to develop robust, evidence‐based AI frameworks that incorporate objective health indicators to improve the reliability and clinical utility of remote health applications. Methods Two novel deep learning (DL) models, YoloTR and YoloMBTR, were developed to detect key ocular surface indicators (OSIs), including tear meniscus height (TMH), non‐invasive Keratograph break‐up time (NIKBUT), ocular redness, lipid layer, and trichiasis. …”
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EfficientNetB0-Based End-to-End Diagnostic System for Diabetic Retinopathy Grading and Macular Edema Detection by Long X, Gan F, Fan H, Qin W, Li X, Ma R, Wang L, Hu R, Xie Y, Chen L, Cao J, Shao Y, Liu K, You Z

“…Xin Long,1– 5,&ast; Fan Gan,1– 4,&ast; Huimin Fan,1– 4,&ast; WeiGuo Qin,6 Xiaonan Li,1– 4 Rui Ma,1 Leran Wang,1 Rui Hu,1 Yilin Xie,1 Lei Chen,7 Jian Cao,1– 4 Yinan Shao,1– 4 Kangcheng Liu,1– 4 Zhipeng You1– 4 1Department of Fundus Diseases, The Affiliated Eye Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, 330000, People’s Republic of China; 2Jiangxi Province Division of National Clinical Research Center for Ocular Diseases, Nanchang, Jiangxi, 330000, People’s Republic of China; 3Jiangxi Clinical Research Center for Ophthalmic Disease, Nanchang, Jiangxi, 330000, People’s Republic of China; 4Jiangxi Research Institute of Ophthalmology and Visual Science, Nanchang, Jiangxi, 330000, People’s Republic of China; 5School of Mathematics and Computer Sciences, Nanchang University, Nanchang, Jiangxi, 330000, People’s Republic of China; 6Department of Cardiothoracic Surgery, The 908th Hospital of Chinese People’s Liberation Army Joint Logistic Support Force, Nanchang, Jiangxi, 330001, People’s Republic of China; 7The Second Clinical School of Medicine, Nanchang University, Nanchang, Jiangxi, 330031, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Zhipeng You, The Affiliated Eye Hospital, Jiangxi Medical College, Nanchang University, 463 Bayi Road, Nanchang, Jiangxi, 330006, People’s Republic of China, Tel +86 13970032654, Email yzp74@sina.comPurpose: This study aims to develop and validate a deep learning-based automated diagnostic system that utilizes fluorescein angiography (FFA) images for the rapid and accurate diagnosis of diabetic retinopathy (DR) and its complications.Methods: We collected 19,031 FFA images from 2753 patients between June 2017 and March 2024 to construct and evaluate our analytical framework. …”
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Development and validation of a machine learning-based risk prediction model for stroke-associated pneumonia in older adult hemorrhagic stroke by Yi Cao, Yi Cao, Haipeng Deng, Shaoyun Liu, Xi Zeng, Yangyang Gou, Weiting Zhang, Yixinyuan Li, Hua Yang, Min Peng

“…ObjectiveTo develop and validate a machine learning (ML)-based model for predicting stroke-associated pneumonia (SAP) risk in older adult hemorrhagic stroke patients.MethodsA retrospective collection of older adult hemorrhagic stroke patients from three tertiary hospitals in Guiyang, Guizhou Province (January 2019–December 2022) formed the modeling cohort, randomly split into training and internal validation sets (7:3 ratio). …”
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Mediastinal lymph node dissection effectiveness in patients with I stage of non-small cell lung cancer by A. P. Kolesnik

“…The aim of the study was to conduct the effectiveness analysis of different volume of lymph dissection of mediastinum in patients with Stage I non-small cell lung cancer (NSCLC). Materials and methods. Study was conducted in the Thoracic Surgery department of Zaporizhzhya Regional Clinically Oncologic Dispensary. 133 patients with Stage I NSCLC were included from December 2008 till January 2013. …”
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SafetyGPT: An autonomous agent of electrical safety risks for monitoring workers’ unsafe behaviors by Wei Li, Fuqi Ma, Zhiyuan Zuo, Rong Jia, Bo Wang, Abdullah M Alharbi

“…Next, the proposed method is applied to real production site data to confirm the effectiveness and superiority through comparison with other methods designed to identify unsafe behaviors. …”
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Fundamentals of protein interaction network mapping by Jamie Snider, Max Kotlyar, Punit Saraon, Zhong Yao, Igor Jurisica, Igor Stagljar

“…In addition, we discuss computational methods to predict, map, and visualize interactomes, and provide a summary of some of the most important interactome resources. …”
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Intelligent Prediction Platform for Sepsis Risk Based on Real-Time Dynamic Temporal Features: Design Study by Mingwei Zhang, Ming Zhong, Yunzhang Cheng, Tianyi Zhang

“…ResultsThe sepsis prediction model demonstrated robust performance in the test cohort (224 patients), achieving an accuracy of 0.7 (95% CI 0.68-0.71), precision of 0.69 (95% CI 0.68-0.71), F1-score of 0.69 (95% CI 0.67-0.70), and area under the receiver operating characteristic curve of 0.76 (95% CI 0.74-0.77). The TreeSHAP method effectively visualized feature contributions, enabling clinicians to interpret the model’s prediction logic and identify anomalies. …”
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A novel two-dimensional reversible data hiding scheme based on high-efficiency histogram shifting for JPEG images by Ben He, Yi Chen, Yonghui Zhou, Yongrong Wang, Yanli Chen

“…Therefore, we propose a two-dimensional histogram shifting-based reversible data hiding scheme in this article to improve the performance of marked JPEG images in terms of visual quality and file size. In the proposed histogram shifting method, only the coefficient pairs containing two non-zero quantized discrete cosine transform coefficients are changed for embedding data. …”
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Nonparametric Bayesian Networks as a Tool of Multiscale Time Series Analysis and Remote Sensing Data Integration by Nikita S. Pyko, Denis V. Tishin, Pavel Yu. Iskandirov, Artur M. Gafurov, Bulat M. Usmanov, Mikhail I. Bogachev

“…In the study of the forest fund, both methods of direct dendrological measurements and methods of remote observation using unmanned aerial vehicles are widely used. …”
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Vector-Based Preference Aided Ranking System (V-PARS): Application on Micromobility Modes in Paris by Esra Cakir, A. Cagri Tolga

“…Despite their conceptual simplicity, visual appeal, and flexibility, which make them valuable across various academic disciplines, these methods require meticulous selection of distance metrics and reference points. …”
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An Automated Framework for Lane Closure Detection on Highway Using Connected Vehicle Data and Machine Learning Models by Ashutosh Dumka, Raghupathi Kandiboina, Aparna Joshi, Skylar Knickerbocker, Neal Hawkins, Anuj Sharma

“…Lane closures on highways present significant challenges, including traffic disruptions, increased crash risks, and economic losses. The traditional methods, which use primarily manual reporting or sensor-based methods, can be error-prone, inefficient, and costly. …”
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Multi-Scale Channel Distillation Network for Image Compressive Sensing by Tianyu Zhang, Kuntao Ye, Yue Zhang, Rui Lu

“…Extensive experimental results on four benchmark datasets demonstrate that MSCDN surpasses state-of-the-art CS methods not only in reconstruction accuracy but also in perceptual visual quality.…”
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