18F-FDG PET/CT SUVmax in pleuropulmonary solitary fibrous tumors: can it be incorporated into risk classification systems for predicting recurrence? by İlteriş Türk, Mehmet Çetin, Necati Solak, Ali Can Kayaaslan, Nesrin Gürçay, Ebru Tatcı, Göktürk Fındık, Pınar Bıçakçıoğlu, Selim Şakir Erkmen Gülhan

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DeepRice6mA: A convolutional neural network approach for 6mA site prediction in the rice Genome. by Hussam Alsharif

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Advancing knee adduction moment prediction for neuromuscular training via functional joint definitions and real-time simulation using OpenSim. by Fabian Goell, Bjoern Braunstein, Maike Stemmler, Alessandro Fasse, Dirk Abel, Kirsten Albracht

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Life prediction of the tensile damage progress for high-speed train gearbox shell based on acoustic emission sensor and an automatic optimization method by Yibo Ai, Chang Sun, Weidong Zhang

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Cardiac Indices Parameters on the Ultrasonic Cardiac Output Monitor as Potential Indicators to Predict the Ultrafiltration Endpoint Success in Acute Heart Failure Treatment by Yiou Li, Jiajia Chen, Jianye Bian, Fangyuan Chen, Qianli Wan, Fang Yuan

“…Receiver operating characteristic (ROC) curves were used to evaluate the value of the predictive model. Economic benefits, including treatment costs and hospitalization duration, were also assessed. …”
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Application of an Electronic Nose to the Prediction of Odorant Series in Wines Obtained with <i>Saccharomyces</i> or Non-<i>Saccharomyces</i> Yeast Strains by Raquel Muñoz-Castells, Margherita Modesti, Jaime Moreno-García, Alexandro Catini, Rosamaria Capuano, Corrado Di Natale, Andrea Bellincontro, Juan Moreno

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A Study on Tool Breakage Detection Technology Based on Current Sensing and Non-Contact Signal Analysis by Chia-Hung Lai, Sih-Hao Huang, Ting-En Wu, Chia-Chun Lai

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Q4MRATools: Quantitative tools to microbial risk assessment by Olga María Bonilla Luque, Antonio Valero, Arícia Possas, Styliani Roufou, Jefferson deOliveira Mallia, Vasilis Valdramidis

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Approaches to predict ligands affinity towards translocator protein TSPO 18 kDa in order to create molecules possessing neuropsychotropic activity by N. M. Baraboshkin, A. S. Pantileev, G. V. Mokrov

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In-Silico Approaches for Molecular Characterization, Structural Function Prediction and Peptide Toxicity Analysis of the Matrix Protein of Vesicular stomatitis Indiana Virus (VSIV) by S Ramya, R Shri Varshini, Sri R Poojaa, Prabhu Puniethaa

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A physical geography approach to predict vineyard occurrence using statistical methods in the Taurasi DOCG Terroir (Avellino Province, southern Italy) by Angelo Cusano, Francesco Carrer, Filippo Russo

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Framework for Addressing Imbalanced Data in Aviation with Federated Learning by Igor Kabashkin

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Challenges of the Biopharmaceutical Industry in the Application of Prescriptive Maintenance in the Industry 4.0 Context: A Comprehensive Literature Review by Johnderson Nogueira de Carvalho, Felipe Rodrigues da Silva, Erick Giovani Sperandio Nascimento

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AI-driven transformation in food manufacturing: a pathway to sustainable efficiency and quality assurance by Kushagra Agrawal, Polat Goktas, Maike Holtkemper, Christian Beecks, Navneet Kumar

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Gut microbiome alterations and hepatic encephalopathy post-TIPS in liver cirrhosis patients by Shengpeng Li, Zhengguo Xu, Hua Diao, An Zhou, Dianji Tu, Sumin Wang, Yunxuan Feng, Xiaojie Feng, Yi Lai, Shiming Yang, Bo Tang

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Predicting Survival Outcomes for Patients with Ovarian Cancer Using National Cancer Registry Data from Taiwan: A Retrospective Cohort Study by Amrita Chattopadhyay, Ya-Ting Wu, Han-Ching Chan, Yi-Ting Kang, Ying-Cheng Chiang, Chun-Ju Chiang, Wen-Chung Lee, Tzu-Pin Lu

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Prediction of in-hospital mortality of Clostriodiodes difficile infection using critical care database: a big data-driven, machine learning approach by Mengru Liu, Mengling Feng, Kewin Tien Ho Siah, Wesley Yeung, Hao Du, Valencia Zhang Ru-Yan, Readon Teh, Christopher Yu En Tan, Christina Scaduto, Sarah Bolongaita, Maria Teresa Kasunuran Cruz, Xiaohao Lin, Yan Yuan Tan

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A comprehensive analysis of the tryptophan metabolism-related gene signature to predict the prognosis of esophageal squamous cell carcinoma based on multi-omics by Zhengjie Wu, Zhiping Liu, Yukun Wang, Geling Teng, Xiaodong Li, Tong Lu, Fangning Hu, Shuo Wu, Guanqiang Ma, Hua Zhang

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Artificial intelligence in personalized nutrition and food manufacturing: a comprehensive review of methods, applications, and future directions by Kushagra Agrawal, Polat Goktas, Navneet Kumar, Man-Fai Leung

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CARE to Compare: A Real-World Benchmark Dataset for Early Fault Detection in Wind Turbine Data by Christian Gück, Cyriana M. A. Roelofs, Stefan Faulstich

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