AI-Driven Predictions of Mathematical Problem-Solving Beliefs: Fuzzy Logic, Adaptive Neuro-Fuzzy Inference Systems, and Artificial Neural Networks by Seda Göktepe Körpeoğlu, Ahsen Filiz, Sevda Göktepe Yıldız

“…These results are important sources of evidence indicating that artificial intelligence methods accurately predict teachers’ MPSB scores.…”
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Radiomics for Predicting the Development of Brain Edema from Normal-Appearing Early Brain-CT After Cardiac Arrest and Return of Spontaneous Circulation by Michael Scheschenja, Eva-Marie Müller-Stüler, Simon Viniol, Joel Wessendorf, Moritz B. Bastian, Jarmila Jedelská, Alexander M. König, Andreas H. Mahnken

“…Early computed tomography (CT) scans can reveal acute intracranial pathologies but may have limited predictive value due to delayed manifestation of HIBI-related changes. …”
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Identification and Prediction of Allo-Source Overpressure Caused by Vertical Transfer: Example from an HTHP Gas Reservoir in the Ledong Slope in the Yinggehai Basin by Caiwei Fan, Changgui Xu, Chao Li, Aiqun Liu, Hu Li, Jingxian Hou, Xiaoying Zhang, Bin Lu, Jun Li

“…Determining the overpressure mechanisms and predicting the pore pressure are key issues for natural gas exploration and development in the Ledong Slope. …”
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Research on the evolution and prediction of the heights of water-conducting fracture zones in overlying rocks during layered mining of extremely thick coal seams by MENG Hailun, CHENG Xianggang, QIAO Wei

“…The model showed that correlation index R2＞0.90, MAE＜6.5 m, −0.5 m＜MBE＜0.5 m, indicating that the PSO-SVR model was capable of predicting the heights of water-conducting fracture zones in layered full-mechanized mining. ⑤ By substituting the data from the working face 9-15(08) into the PSO-SVR model, the absolute error between the predicted and observed values was 12.52 m, and the relative error was 4.86%, indicating that the PSO-SVR model could effectively and accurately predict the heights of the water-conducting fracture zones in extremely thick coal seams mining.…”
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Matching Into Integrated Plastic Surgery: The Impact of USMLE Step 1 Transition to Pass/Fail: Did the 2019 Predictions Come True in 2024? by Lyndsay R. Boyd, MD, Lawrence O. Lin, MD, Jeffrey E. Janis, MD, FACS

“…There was no difference from what was predicted.…”
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The role of C-reactive protein in predicting all-cause mortality among Chinese arthritis patients: implications for public health education and promotion by Shuchao Ye, Damei Ye, Changyi Lin, Dongming Lu, Xuelan You, Chaoyan Xu, Yongyang Wu

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MDFGNN-SMMA: prediction of potential small molecule-miRNA associations based on multi-source data fusion and graph neural networks by Jianwei Li, Xukun Zhang, Bing Li, Ziyu Li, Zhenzhen Chen

“…The findings indicated that among the top 50 predicted miRNAs associated with Cisplatin, 5-Fluorouracil, and Doxorubicin, 42, 36, and 36 miRNAs, respectively, were corroborated by existing literature and the RNAInter database.…”
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Effect of Mean Stress on the Fatigue Life Prediction of Notched Fiber-Reinforced 2060 Al-Li Alloy Laminates under Spectrum Loading by Weiying Meng, Liyang Xie, Yu Zhang, Yawen Wang, Xiaofang Sun, Shijian Zhang

“…This paper presents a study on the fatigue life prediction of notched fiber-reinforced 2060 Al-Li alloy laminates under spectrum loading by applying the constant life diagram. …”
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Metabolic Syndrome and Its Components Predict the Risk of Type 2 Diabetes Mellitus in the Mainland Chinese: A 3-Year Cohort Study by Kun Wang, Qun-Fang Yang, Xing-Lin Chen, Yu-Wei Liu, Sheng-Shuai Shan, Hua-Bo Zheng, Xiao-Fang Zhao, Chang-Zhong Chen, Cheng-Yun Liu

“…It has well established that metabolic syndrome (MetS) can predict the risk of type 2 diabetes mellitus (T2DM) in some population groups. …”
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HbA1c-Based Score Model for Predicting Death Risk in Patients with Hepatocellular Carcinoma and Type 2 Diabetes Mellitus by Lingling He, Shuan Zhang, Xiaoli Liu, Yuyong Jiang, Xianbo Wang, Zhiyun Yang

“…To establish a new score model to predict risk of death in patients with hepatocellular carcinoma and type 2 diabetes mellitus. …”
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A comparison of disseminated intravascular coagulation scoring systems and their performance to predict mortality in sepsis patients: A systematic review and meta-analysis by Girum Tesfaye Kiya, Gemeda Abebe, Zeleke Mekonnen, Edosa Tadasa, Gedion Milkias, Elsah Tegene Asefa

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Clinical implication of NT-proBNP to predict mortality in patients with acute type A aortic dissection: a retrospective cohort study by Rui Zhang, Hao Wang, Chenxi Song, Rui Fu, Kefei Dou, Shuai Liu, Qianqian Liu, Xiaohui Bian, Weida Liu, Chengang Zhu, Jingjing Gao, Sheng Yuan, Xinming Cui, Sijia Qin, Yumeng Li

“…After multivariable regression adjusted for confounders, NT-proBNP tertiles were independent predictors for 1-year mortality (adjusted HR for intermediate group 1.52, 95% CI 1.02 to 2.27; adjusted HR for high group 2.17, 95% CI 1.41 to 3.32). Notably, the predictive performance of NT-proBNP for 1-year mortality was greater in patients receiving surgery than conservative treatment (between-cohorts difference in area under the curve 0.13, Delong’s test p=0.04).Conclusion NT-proBNP provides incremental prognostic information for mortality in patients with acute type A aortic dissection who underwent surgical repairment, which could aid in risk stratification as a pragmatic and versatile biomarker in this critically ill population while having limited prognostic value for those receiving conservative treatment.…”
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Quantitative Prediction of Protein–Polyelectrolyte Binding Thermodynamics: Adsorption of Heparin-Analog Polysulfates to the SARS-CoV‑2 Spike Protein RBD by Lenard Neander, Cedric Hannemann, Roland R. Netz, Anil Kumar Sahoo

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Baseline [18F]FDG PET/CT radiomics for predicting interim efficacy in follicular lymphoma treated with first-line R-CHOP by Zeying Wen, Xiaohe Gao, Qingxia Wu, Jianwei Yang, Jian Sun, Keliu Wu, Hongfei Zhao, Ruihua Wang, Yanmei Li

“…Abstract Objective To investigate the predictive value of machine learning-based PET/CT radiomics and clinical risk factors in predicting interim efficacy in patients with follicular lymphoma (FL). …”
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A microstructure-based numerical approach for uniaxial fatigue life-based non-uniaxial fatigue life prediction of hypo-eutectoid steels by Jonghoon Shin, Hyunki Kim, Minwoo Kang, Chungan Lee, Seunghyun Hong, Yoon Suk Choi

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From structure prediction to function: defining the domain on the African swine fever virus CD2v protein required for binding to erythrocytes by Ana Luisa Reis, Anusyah Rathakrishnan, Vlad Petrovan, Muneeb Islam, Lynnette Goatley, Katy Moffat, Mai Tuyet Vuong, Yuan Lui, Simon J. Davis, Shinji Ikemizu, Linda K. Dixon

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The CASPAR study protocol. Can cervical stiffness predict successful vaginal delivery after induction of labour? a feasibility, cohort study by Elizabeth Medford, Steven Lane, Abi Merriel, Andrew Sharp, Angharad Care

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Comparison of Predicted Exercise Capacity Equations and the Effect of Actual versus Ideal Body Weight among Subjects Undergoing Cardiopulmonary Exercise Testing by H. Reza Ahmadian, Joseph J. Sclafani, Ethan E. Emmons, Michael J. Morris, Kenneth M. Leclerc, Ahmad M. Slim

“…The purpose of this study is to determine if the use of actual versus ideal body weight in standard regression equations for predicted VO2 max results in differences in predicted VO2 max. …”
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Parameter Optimization on the Three-Parameter Whitenization Grey Model and Its Application in Simulation and Prediction of Gross Enrollment Rate of Higher Education in China by Jihong Sun, Hui Li, Bo Zeng, Xiaoyun Zhao, Chuanhui Wang

“…The gray prediction model, based on the GM(1,1) method, is an important branch of gray theory with the most active research and the most fruitful results, and it is the most widely used because of its small sample size, simple modeling process, and easy to use. …”
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miR-208a-3p discriminates osteoporosis, predicts fracture, and regulates osteoclast activation through targeting STC1 by Hongbing Qian, Fei Jia, Huiling Qin

“…The significance of miR-208a-3p was evaluated from the perspectives of menopausal correlation, OP diagnosis, and fracture prediction. In mechanism, the regulatory effect and mechanism of miR-208a-3p on osteoclast activation was investigated. …”
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