MATHEMATICS AND ENTRANCE EXAM RESULTS AS INDICATORS OF ACADEMIC SUCCESS AMONG CIVIL ENGINEERING STUDENTS by Ljubiša Preradović, Miroslav Malinović

Subjects: “…predicting academic success…”
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A Multicenter Study on Clinical Outcomes of Simultaneous Implantable Collamer Lens Removal and Phacoemulsification with Intraocular Lens Implantation in Eyes Developing Cataract by Kazutaka Kamiya, Kimiya Shimizu, Yoshihiro Kitazawa, Takashi Kojima, Tomoaki Nakamura, Kazuo Ichikawa, Kahoko Fujimoto, the Japan ICL Study Group

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Short communication: The importance of random effects in detecting purging of inbreeding depression: A model comparison in Pannon White rabbits by I. Nagy, I. Curik, A.T. Nguyen, J. Farkas, Gy. Kövér

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Association between the atherogenic index of plasma and long-term risk of type 2 diabetes: a 12-year cohort study based on the Japanese population by Qianxing Zhou, Yamei Wu, Mingkang Li

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Feedback control of an HBV model based on ensemble kalman filter and differential evolution by Junyoung Jang, Kihoon Jang, Hee-Dae Kwon, Jeehyun Lee

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Effect of phosphorus fractions on benthic chlorophyll-a: Insight from the machine learning models by Yuting Wang, Sangar Khan, Zongwei Lin, Xinxin Qi, Kamel M. Eltohamy, Collins Oduro, Chao Gao, Paul J. Milham, Naicheng Wu

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Ethics within chemistry education: options, challenges and perspectives by Mammino Liliana

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Markovian extensions and reductions of a family of σ-algebras by Jelena Bulatovic Gill

Subjects: “…Markovian family of σ-algebras; equal predictability; stochastic dynamic system; extension and reduction.…”
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A comparative analysis of real and theoretical data in offshore wind energy generation by Fernando M. Camilo, Paulo J. Santos, Armando J. Pires

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Comparison and Analysis of Algorithms for Coordinated EV Charging to Reduce Power Grid Impact by Cesar Diaz-Londono, Paolo Maffezzoni, Luca Daniel, Giambattista Gruosso

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Fault Detection in Induction Machines Using Learning Models and Fourier Spectrum Image Analysis by Kevin Barrera-Llanga, Jordi Burriel-Valencia, Angel Sapena-Bano, Javier Martinez-Roman

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Performance of emergency triage prediction of an open access natural language processing based chatbot application (ChatGPT): A preliminary, scenario-based cross-sectional study by İbrahim Sarbay, Göksu Bozdereli Berikol, İbrahim Ulaş Özturan

“…When trained with more medical knowledge, ChatGPT may be more accurate for other triage category predictions.…”
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Enhancing Chronic Disease Prediction in IoMT-Enabled Healthcare 5.0 Using Deep Machine Learning: Alzheimer’s Disease as a Case Study by Rabia Javed, Tahir Abbas, Tariq Shahzad, Khadija Kanwal, Sadaqat Ali Ramay, Muhammad Adnan Khan, Khmaies Ouahada

“…These findings have significance for tailored healthcare 5.0, enabling healthcare professionals to predict chronic disease more efficiently. A comparative examination of the most recent methods has been provided in our work reveals that it might be more advantageous to use the proposed model in which segmentation of the MRI is performed using U-net architecture and then classification is done using transfer learning for chronic disease prediction. …”
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Developing a novel model for predicting overall survival in late-onset colon adenocarcinoma patients based on LODDS: a study based on the SEER database and external validation by Chen Chen, Heng-Bo Xia, Wei-Wei Yuan, Meng-Ci Zhou, Xue Zhang, A.-Man Xu

“…Abstract Aim To construct a predictive model based on the LODDS stage established for patients with late-onset colon adenocarcinoma to enhance survival stratification. …”
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Partial Least Square Structural Equation Model “PLS-SEM” to Predict Total Quality Management in UAE Higher Education: A Comprehensive Framework for Organizational Performance Enhancement by GUPTA Babeet, SRIVASTAVA Riktesh, UC Harish, ABURAYYA Ahmed

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An analysis of observed and predicted extreme heat and precipitation trends across four pulse producing regions in North America: North Dakota, Montana, Saskatchewan, and Northeastern United States by Sophia Weiss, Erin Coughlan de Perez

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Left atrial strain predicts paroxysmal atrial fibrillation recurrence after catheter ablation: a 1-year study using three-dimensional speckle-tracking echocardiography by Rui Zhang, He Li, Yan Wang, Tianle Yu, Jiacheng Li, Yumeng Wu, Zhiwen Yu, Cuixing Liang, Dan Yu, Li Xue

“…The objective of this study was to assess alterations in three-dimensional strains and predict recurrence in patients with PAF following RFCA. …”
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Characterisation of cardiovascular disease (CVD) incidence and machine learning risk prediction in middle-aged and elderly populations: data from the China health and retirement longitudinal study (CHARLS) by Qing Huang, Zihao Jiang, Bo Shi, Jiaxu Meng, Li Shu, Fuyong Hu, Jing Mi

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A quantitative amplitude of vagus nerve obtained by intraoperative neuromonitoring predicts postoperative vocal cord paralysis among patients in thyroid/parathyroid surgery as a second option by Hiroshi Katoh, MD, FACS, Riku Okamoto, MD, Kanako Naito, MD, Tomoya Mitsuma, MD, Mariko Kikuchi, MD, Takaaki Tokito, MD, Takeshi Naitoh, MD, FACS, Naoki Hiki, MD, Yusuke Kumamoto, MD, Takafumi Sangai, MD

“…Results: Quantitative amplitudes of V2 or R2, and V2/V1 or R2/R1 ratio predicted VCP. The V2 of 117–216 μV predicted VCP with high (>80 %) sensitivity and specificity. …”
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A Nomogram Based on Apelin-12 for the Prediction of Major Adverse Cardiovascular Events after Percutaneous Coronary Intervention among Patients with ST-Segment Elevation Myocardial Infarction by Enfa Zhao, Hang Xie, Yushun Zhang

“…This study aimed to establish a clinical prognostic nomogram for predicting major adverse cardiovascular events (MACEs) after primary percutaneous coronary intervention (PCI) among patients with ST-segment elevation myocardial infarction (STEMI). …”
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