A Multi-Receiver GNSS System Geometry Control Algorithm in Mobile Measurement of Railway Track Axis Position by Jacek Skibicki, Andrzej Wilk, Władysław Koc, Piotr Chrostowski, Roksana Licow, Paweł Szymon Dąbrowski, Krzysztof Karwowski, Sławomir Judek, Michał Michna, Jacek Szmagliński, Sławomir Grulkowski

“…The precision of mobile GNSS-based measurements is influenced by external factors such as terrain obstructions and satellite geometry. This study presents an innovative approach that continuously monitors a predefined multi-receiver GNSS configuration in real time to enhance positioning accuracy. …”
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Deep Learning–Based Precision Cropping of Eye Regions in Strabismus Photographs: Algorithm Development and Validation Study for Workflow Optimization by Dawen Wu, Yanfei Li, Zeyi Yang, Teng Yin, Xiaohang Chen, Jingyu Liu, Wenyi Shang, Bin Xie, Guoyuan Yang, Haixian Zhang, Longqian Liu

“…MethodsThis retrospective and prospective cross-sectional study utilized 5832 images from 648 inpatients and outpatients, capturing 3 gaze positions under diverse conditions, including obstructions and varying distances. The preprocessing algorithm, based on a rotating bounding box detection framework, was trained and evaluated using precision, recall, and mean average precision (mAP) at various intersections over union thresholds. …”
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Snoring Sounds Classification of OSAHS Patients Based on Model Fusion by Yexin LUO, Jianxin PENG, Li DING, Yikai ZHANG, Lijuan SONG, Qianfan ZHANG, Houpeng CHEN

“…Obstructive sleep apnea hypopnea syndrome (OSAHS) is a prevalent and detrimental chronic condition. …”
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Snoring Sound Recognition Using Multi-Channel Spectrograms by Ziqiang YE, Jianxin PENG, Xiaowen ZHANG, Lijuan SONG

“…Obstructive sleep apnea-hypopnea syndrome (OSAHS) is a common and high-risk sleep-related breathing disorder. …”
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Ultrawideband Non-Line-of-Sight Classification Using Transformer-Convolutional Neural Networks by Hae-Ji Hwang, Seon-Geun Jeong, Won-Joo Hwang

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An Algorithm to Analyze Cost Heterogeneity using Counterfactual Scenarios in Endovascular versus Open Repair of Abdominal Aortic Aneurysm: Predicting Costs for Subsequent Patients by Christopher A. Jones, Peter W. Callas, Robert W. Everett, Richard A. Galbraith, Richie Spitsberg, Jeffrey J. Petrozzino, Michael J. DeSarno, Andrew C. Stanley

“…Under such circumstances, it is our expectation that such algorithms may be used to select the most cost-efficient treatment.…”
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Standardization of Lung CT Number Using COPD Gene2 Phantom Under Various Scanning Protocols by Hoondong Song, Hanjoo Jang, Jongduk Baek

“…Lung computed tomography (CT) images are widely used to diagnose chronic obstructive pulmonary disease (COPD) by evaluating signs of lung tissue destruction. …”
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A Hybrid P&O-Fuzzy-Based Maximum Power Point Tracking (MPPT) Algorithm for Photovoltaic Systems Under Partial Shading Conditions by Hamed Karimi, Alireza Siadatan, Afshin Rezaei-Zare

“…Photovoltaic arrays receive varying levels of solar radiation due to factors such as shadows created by clouds, surrounding buildings, and other obstructions. Therefore, an effective Maximum Power Point Tracking (MPPT) algorithm should be used to maximize power generation from non-uniform arrays. …”
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DIAGNOSTICS OF THE INTESTINE ISCHEMIC DAMAGES IN SOME ACUTE SURGICAL DISEASES OF ABDOMINAL CAVITY by Vil M. Timerbulatov, Shamil V. Timerbulatov, Ravil B. Sagitov, Artur U. Sultanabaev, Dmitriy I. Asmanov

“…The research suggested an algorithm of diagnosis at pre- and postoperative periods. …”
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Non-line-of-sight Visible Light Positioning System based on Deep Learning by HUANG Weijie, LIN Bangjiang, DING Yongqi, LUO Jiabin, HUANG Tianming

“…This system utilizes reflected light for VLP, overcoming the challenge of LOS obstruction and enhancing the robustness of the VLP system. …”
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Epilepsy and sleep: current diagnostic and treatment approaches by N. I. Shova, A. K. Bolshakova, V. A. Mikhailov

“…To address these issues, an algorithm for diagnosis and correction of sleep disorders in epilepsy patients was proposed, aimed at optimizing therapy and improving the quality of life in this patient cohort.Conclusion. …”
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Assessment of Pre-test and Clinical Probability in the Diagnosis of Chronic Coronary Syndrome — What's New? by A. N. Sumin, A. V. Shcheglova

“…In the 2019 European Society of Cardiology (ESC) guidelines, the diagnostic algorithm for chronic coronary syndrome (CCS) was significantly changed, a significant revision of the pretest probability assessment scale (PTP) was made, an assessment of the clinical probability of obstructive coronary artery disease was proposed, the recommendations on the use of diagnostic tests in various groups of patients were updated. …”
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Inhalation Injury (A Literature Review) by E. A. Zhirkova, T. G. Spiridonova, P. A. Brygin, A. V. Makarov, A. V. Sachkov

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Unpacking the dangers of super absorbent polymer water beads: an in vitro analysis by Jack J. Hachem, Jack J. Hachem, Javier Monagas, Javier Monagas, Ankona Banerjee, Robert A. Noel, Robert A. Noel

“…ObjectivesThis study aims to investigate the risk of pediatric bowel obstruction from various types of super absorbent polymer (SAP) beads in different liquid media, explore treatment options, and develop a clinical decision-making algorithm for healthcare providers.MethodsThree experiments were conducted involving the measurement of SAP beads' expansion in different liquid media. …”
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Mapping EQ-5D-5L Score From SGRQ in Patients with Asthma and/or COPD in NOVELTY by Jackson D, Quinton A, Zhang F, Müllerová H, Janson C, Sadatsafavi M

“…Dan Jackson,1 Anna Quinton,2 Fanni Zhang,3 Hana Müllerová,4 Christer Janson,5 Mohsen Sadatsafavi6 1Statistical Innovation Group, AstraZeneca, Cambridge, UK; 2Global Health Economics and Payer Evidence, BioPharmaceuticals Business Unit, AstraZeneca, Cambridge, UK; 3Statistical Innovation Group, AstraZeneca, Gaithersburg, MD, USA; 4Respiratory Evidence Strategy, BioPharmaceuticals Medical, AstraZeneca, Cambridge, UK; 5Department of Medical Sciences, Respiratory, Allergy and Sleep Research, Uppsala University, Uppsala, Sweden; 6Respiratory Evaluation Sciences Program, Collaboration for Outcomes Research and Evaluation, Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC, CanadaCorrespondence: Dan Jackson, Statistical Innovation, AstraZeneca, Academy House, 136 Hills Road, Cambridge, CB2 8PA, UK, Email daniel.jackson1@astrazeneca.comPurpose: The St George’s Respiratory Questionnaire (SGRQ) measures health status in obstructive airways disease. Starkie et al proposed an algorithm for mapping the SGRQ to EQ-5D-5L, a preference-based utility measure, in chronic obstructive pulmonary disease (COPD) (Value Health 2011;14:354– 60); only SGRQ total score, its squared value, and sex were included as covariates. …”
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Is the problem of intact coronary arteries still or is it close to solving? by A. N. Sumin

“…The diagnostic algorithms used until recently led to the fact that in invasive coronary angiography obstructive changes in the coronary arteries were detected in less than half of the cases. …”
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HAP-COVID: Hybrid Model Integrating Machine Learning and Neutrosophic Statistics to Estimate Mortality Risk in COVID-19 Comorbid Patients by Daniel Iturburu-Salvador, Lorenzo Cevallos-Torres, Rosangela Caicedo-Quiroz, Irma Naranjo-Peña, Rosa Hernández-Magallanes, Rosa Gonzáles-Quiñones

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Rolling Bearing Fault Diagnosis Based on Optimized VMD Combining Signal Features and Improved CNN by Yingyong Zou, Xingkui Zhang, Wenzhuo Zhao, Tao Liu

“…The golden jackal optimization (GJO) algorithm is employed to optimize the key parameters of the VMD, enabling effective signal decomposition. …”
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CodeX effectively identifies high-risk patients with asthma or COPD in Dutch primary care, supporting guideline-driven treatment by Iris van Geer-Postmus, Marika T. Leving, Yoran H. Gerritsma, Esmé Baan, Lars Dijk, Evelien Harms, David Price, Gerian H. Prins, Jennifer K. Quint, Dermot Ryan, Philippe Salomé, Björn Ställberg, Nilouq Stoker, Janwillem H. Kocks

“…The algorithms were evaluated in nine general practices in the Netherlands. …”
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AI Machine Learning–Based Diabetes Prediction in Older Adults in South Korea: Cross-Sectional Analysis by Hocheol Lee, Myung-Bae Park, Young-Joo Won

“… Abstract BackgroundDiabetes is prevalent in older adults, and machine learning algorithms could help predict diabetes in this population. …”
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