Risk of infection and conversion time from external to definitive fixation in open tibial fracture by Wazzan S. Aljuhani, Yasir A. Alshabi, Abdullah M. Alanazi, Meshal A. Alothri, Saleh A. Almutairi, Ziad A. Aljaafri, Abdullah M. Alzahrani

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The importance of improving the legal regulation of animal treatment in terms of preventing cruelty by V. S. Seliukov

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Dynamics of land use land cover change and its effect on urban heat island in Halaba Kulito Town by Begonet Dale, Mihret Dananto, Bisrat Kifle

“…The evaluation of classification accuracy was checked using a confusion error matrix. …”
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Comparison of ultrasound features and lesion sites in dysfunctional arteriovenous fistula by Yin Wang, Xiao-mei Huang, Yi Zhang, Jingjing Li, Jun Li, Zheng Ye, Yu Peng, Xian-jin Zhang, Na Tang, Wen-wen Qiu, Li Xu

“…Among 185 patients, 100 (54.05%), 36 (19.46%), 22 (11.89%), 11 (5.95%), and 16 (8.65%) were classified into the intima-dominant, non-intima-dominant, valve obstruction, vascular calcification, and mixed groups, respectively. …”
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MaveDB 2024: a curated community database with over seven million variant effects from multiplexed functional assays by Alan F. Rubin, Jeremy Stone, Aisha Haley Bianchi, Benjamin J. Capodanno, Estelle Y. Da, Mafalda Dias, Daniel Esposito, Jonathan Frazer, Yunfan Fu, Sally B. Grindstaff, Matthew R. Harrington, Iris Li, Abbye E. McEwen, Joseph K. Min, Nick Moore, Olivia G. Moscatelli, Jesslyn Ong, Polina V. Polunina, Joshua E. Rollins, Nathan J. Rollins, Ashley E. Snyder, Amy Tam, Matthew J. Wakefield, Shenyi Sunny Ye, Lea M. Starita, Vanessa L. Bryant, Debora S. Marks, Douglas M. Fowler

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CLASSIFICATION OF LOGISTICS-BASED TRANSPORTATION ACTIVITIES IN OECD COUNTRIES AND SELECTED NON-MEMBER COUNTRIES THROUGH CLUSTER ANALYSIS - KÜMELEME ANALİZİ İLE OECD ÜLKELERİ VE SEÇ... by Gülsen Serap Çekerol

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Genetic diversity and breeding value of synthetic hexaploid wheat introduced into the VIR collection by A. G. Khakimova, N. K. Gubareva, V. А. Koshkin, O. P. Mitrofanova

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Medium- to long-term functional outcomes of artcure diffusional patch therapy for lumbar disc herniation: which herniation is more likely to require surgery? by Zekeriya Ersin Çelen, Furkan Hanege, Soner Sarı, Bülent Özkurt

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Transformer-based malware detection using process resource utilization metrics by Dimosthenis Natsos, Andreas L. Symeonidis

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A New Deep Learning-Based Method for Automated Identification of Thoracic Lymph Node Stations in Endobronchial Ultrasound (EBUS): A Proof-of-Concept Study by Øyvind Ervik, Mia Rødde, Erlend Fagertun Hofstad, Ingrid Tveten, Thomas Langø, Håkon O. Leira, Tore Amundsen, Hanne Sorger

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Deep learning-based algorithm for classifying high-resolution computed tomography features in coal workers’ pneumoconiosis by Hantian Dong, Biaokai Zhu, Xiaomei Kong, Xuesen Su, Ting Liu, Xinri Zhang

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Improvement in Automated Diagnosis of Soft Tissues Tumors Using Machine Learning by El Arbi Abdellaoui Alaoui, Stéphane Cédric Koumetio Tekouabou, Sri Hartini, Zuherman Rustam, Hassan Silkan, Said Agoujil

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The Fruit Recognition and Evaluation Method Based on Multi-Model Collaboration by Mingzheng Huang, Dejin Chen, Dewang Feng

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Myoclonus by R. Rimšienė, S. Andruškevičius, R. Mameniškienė

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Exploring the Role of Teaching Aids in Enhancing Physical Education for Schoolchildren: A Literature Review by Yurij Vaskov

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Application of Computational Fluid Dynamics and Semi-Empirical Speed Loss Prediction for Weather Routing by Chih-Wen Cheng, Yu-An Tzeng, Ming-Hsiung Chang, Shang-Chi Liu, Ho-King Cheung, Ching-Yeh Hsin

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Multi-Resolution Wavelet-Transformed Image Analysis of Histological Sections of Breast Carcinomas by Hae-Gil Hwang, Hyun-Ju Choi, Byeong-Il Lee, Hye-Kyoung Yoon, Sang-Hee Nam, Heung-Kook Choi

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Autism spectrum disorder diagnosis with neural networks by Asude Demir, Seher Arslankaya

“…Data of 14 different parameters taken from children between 12-36 months of age were used, and as a result of the classification, the accuracy value of the neural network was 99.18%, the sensitivity value was 98.91%, the sensitivity value was 1 and the f1 score value was 99.45%. …”
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Gestational diabetes versus pregestational diabetes. Perinatal results. by Cristóbal Torres González, Joselin Moreno Torres, Juan Carlos Pastrana Tapia, Vivian Vázquez Martínez

“…According to Marquez Guillén classification , the bad fetal-maternal prognosis (X=16.37, p < 0.05), the treatment with diet plus insulin(X=53.5, p < 0.05),abortio(X=32.2, p < 0.05),pre term delivery (X=11, p < 0.05),maternal morbidity (X=36.8, p < 0.05) and perinatal morbidity (X=39.6, p < 0.05) were the most frequent in pregestationaldiabetes than in gestational diabetes.…”
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COMPLEX EVALUATION OF WORKING CONDITIONS IN GALVANIC WORKSHOPS by A. M. Lazarenkov, S. A. Khoreva, V. V. Melnichenko

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