Pep2TCR: Accurate prediction of CD4 T cell receptor binding specificity through transfer learning and ensemble approach by Kaixuan Diao, Tao Wu, Xiangyu Zhao, Nan Wang, Die Qiu, Wei‐Liang Wang, Xinxiang Li, Xue‐Song Liu

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Serum Cystatin C and Coronavirus Disease 2019: A Potential Inflammatory Biomarker in Predicting Critical Illness and Mortality for Adult Patients by Dan Chen, Wenwu Sun, Jia Li, Bohua Wei, Wei Liu, Xiaopin Wang, Fan Song, Liangkai Chen, Junhui Yang, Li Yu

“…As a potential inflammatory marker, increasing baseline levels of serum cystatin C might independently predict adverse outcomes for COVID-19 patients. Serum cystatin C could be routinely monitored during hospitalization, which showed clinical importance in prognosticating for adult patients with COVID-19.…”
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Displacement Prediction of a Complex Landslide in the Three Gorges Reservoir Area (China) Using a Hybrid Computational Intelligence Approach by Junwei Ma, Xiaoxu Niu, Huiming Tang, Yankun Wang, Tao Wen, Junrong Zhang

“…An appropriate quantification of predictive uncertainties is a key underpinning of displacement prediction and mitigation of reservoir landslide. …”
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Computational Fluid Dynamics Prediction of the Sea-Keeping Behavior of High-Speed Unmanned Surface Vehicles Under the Coastal Intersecting Waves by Xiaobin Hong, Guihong Zheng, Ruimou Cai, Yuanming Chen, Guoquan Xiao

“…The CFD method is proved to be good enough at ship response prediction and can be utilized in abundant forms of towing experiment simulations, including planar motion mechanism experiments. …”
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Optimized Adaptive Neuro-Fuzzy Inference System Using Metaheuristic Algorithms: Application of Shield Tunnelling Ground Surface Settlement Prediction by Xinni Liu, Sadaam Hadee Hussein, Kamarul Hawari Ghazali, Tran Minh Tung, Zaher Mundher Yaseen

“…Deformation of ground during tunnelling projects is one of the complex issues that is required to be monitored carefully to avoid the unexpected damages and human losses. Accurate prediction of ground settlement (GS) is a crucial concern for tunnelling problems, and the adequate predictive model can be a vital tool for tunnel designers to simulate the ground settlement accurately. …”
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Design of a regression model to predict the presence of depression during pregnancy based on emotional intelligence, parental care, anxiety and stress by Sandro Giovanazzi, Aquiles Pérez

“…Objectives: Design a new model to predict the presence of depression in women during pregnancy. …”
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Mathematical Modeling for Pharmaco-Kinetic and -Dynamic Predictions from Controlled Drug Release NanoSystems: A Comparative Parametric Study by Grigorios P. Panotopoulos, Ziyad S. Haidar

“…Predicting pharmacokinetics, based on the theory of dynamic systems, for an administered drug (whether intravenously, orally, intramuscularly, etc.), is an industrial and clinical challenge. …”
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Assessment of Diagnostic Values among CA-125, RMI, HE4, and ROMA for Cancer Prediction in Women with Nonfunctional Ovarian Cysts by Shina Oranratanaphan, Sinee Wanishpongpan, Wichai Termrungruanglert, Surang Triratanachat

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From Baseline to Best Practice: An Advanced Feature Selection, Feature Resampling and Grid Search Techniques to Improve Injury Severity Prediction by Soukaina EL Ferouali, Zouhair Elamrani Abou Elassad, Sara Qassimi, Abdelmounaîm Abdali

“…This work addresses the need for precise prediction models that predict the severity of injuries sustained in traffic crashes as a regression task. …”
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Prediction of Causative Genes in Inherited Retinal Disorders from Spectral-Domain Optical Coherence Tomography Utilizing Deep Learning Techniques by Yu Fujinami-Yokokawa, Nikolas Pontikos, Lizhu Yang, Kazushige Tsunoda, Kazutoshi Yoshitake, Takeshi Iwata, Hiroaki Miyata, Kaoru Fujinami, on behalf of Japan Eye Genetics Consortium

“…This study highlighted a novel application of deep neural networks in the prediction of the causative gene in IRD retinopathies from SD-OCT, with a high prediction accuracy. …”
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Development and validation of a machine learning model to predict the risk of lymph node metastasis in early-stage supraglottic laryngeal cancer by Hongyu Wang, Hongyu Wang, Hongyu Wang, Zhiqiang He, Zhiqiang He, Zhiqiang He, Jiayang Xu, Jiayang Xu, Ting Chen, Ting Chen, Ting Chen, Jingtian Huang, Jingtian Huang, Jingtian Huang, Lihong Chen, Lihong Chen, Lihong Chen, Xin Yue, Xin Yue, Xin Yue

“…However, research on risk factors for predicting cervical LNM in early-stage SGLC is limited. …”
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A Nomogram utilizing ECG P-wave parameters to predict recurrence risk following catheter ablation in paroxysmal atrial fibrillation by Li-juan Yu, Xue-Hai Chen, Zhe Xu, Ke-Zeng Gong, Fei-Long Zhang

“…The nomogram model based on P-wave parameters before and after catheter ablation exhibits notably strong predictive performance and offers significant clinical benefits.…”
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Effect of comorbidity classes on survival of patients with gastrointestinal tract cancer by Linna Gao, Tian Yao, Shaohua Ge, Jiuwei Cui, Wei Li, Zengqing Guo, Hongxia Xu, Min Weng, Suyi Li, Qinghua Yao, Wen Hu, Lan Zhou, Junqiang Chen, Xianghua Wu, Qingchuan Zhao, Hongli Li, Hanping Shi, Yi Ba, He Huang, The Investigation on Nutrition Status and its Clinical Outcome of Common Cancers (INSCOC) Group

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Sex-modulated association between thyroid stimulating hormone and informant-perceived anxiety in non-depressed older adults: Prediction models and relevant cutoff value by Asma Hallab

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INTELLIGENT LIQUID LEVEL CONTROL OF A COUPLED NONLINEAR THREE TANK SYSTEM SUBJECTED TO VARIABLE FLOW PARAMETERS by MUSTEFA JIBRIL, MESAY TADESSE, NURYE HASSEN

Subjects: “…Neural network, NARMA L-2, NN Predictive Controller…”
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Pre-operative DNA methylation marks as predictors of weight loss outcomes after sleeve gastrectomy by Guillermo Paz-López, Teresa M. Linares-Pineda, Andrés González-Jiménez, Raquel Sancho-Marín, Luis Ocaña-Wilhelmi, Francisco J. Tinahones, Sonsoles Morcillo, Carolina Gutiérrez-Repiso

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The P-h2 relationship as a function of (hf/hm) in indentation by Habibi Samir

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The Global Burden of Migraine: A 30-Year Trend Review and Future Projections by Age, Sex, Country, and Region by Lingkang Dong, Wenqi Dong, Yuchen Jin, Yumeng Jiang, Zhuangzhuang Li, Dongzhen Yu

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“Data-based management”: prospects for implementation into the system of vocational education by V. I. Blinov, I. S. Sergeev, E. Yu. Esenina, N. S. Garkusha, N. F. Rodichev

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Editorial: Microbial safety of animal-based food products by María J. Andrade, Micaela Álvarez, Paula Rodrigues

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