Integration of a hybrid vibration prediction model for railways into noise mapping software: methodology, assumptions and demonstration by Pieter Reumers, Geert Degrande, Geert Lombaert, David J. Thompson, Evangelos Ntotsios, Pascal Bouvet, Brice Nélain, Andreas Nuber

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A Nomogram Based on Circulating Inflammatory Factors for Predicting Prognosis of Newly Diagnosed Multiple Myeloma Patients by Wang M, Yue X, Ding Y, Cai Z, Xiao H, Huang H, He J

“…Cox regression analysis and least absolute shrinkage and selector operation (LASSO) were performed to establish the predictive nomograms for survival outcomes in the training cohort, and the nomograms were validated by calibration curves in the validation cohort.Results: The best cutoff values of NLR, LMR, PLR, and IL-10 were 4.44, 4.0, 100, and 1.42pg/mL, respectively. …”
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Research on the Parameter Prediction Model for Fully Mechanized Mining Equipment Selection Based on RF-WOA-XGBoost by Yue Wu, Wenlong Sang, Xiangang Cao, Longlong He

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Ignition delay prediction for fuels with diverse molecular structures using transfer learning-based neural networks by Mo Yang, Dezhi Zhou

“…In this study, a transfer learning-based neural network approach to predict ignition delays for a variety of fuels is proposed to meet the demand for accurate combustion analysis. …”
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Enhanced Cognitive Walkthrough: Development of the Cognitive Walkthrough Method to Better Predict, Identify, and Present Usability Problems by Lars-Ola Bligård, Anna-Lisa Osvalder

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A Novel Prediction Model for Car Body Vibration Acceleration Based on Correlation Analysis and Neural Networks by Shubin Zheng, Qianwen Zhong, Xiaodong Chai, Xingjie Chen, Lele Peng

“…This paper aims to create a prediction model for car body vibration acceleration that is reliable, effective, and close to real-world conditions. …”
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Fibrinogen-to-Albumin Ratio Predicts Contrast-Induced Nephropathy in Patients after Emergency Percutaneous Coronary Intervention by Zhebin You, Tailin Guo, Fan Lin, Chunjin Lin, Jiankang Chen, Xiaoming Li, Yan Chen, Kaiyang Lin

“…In the multivariate logistic analysis, FAR was an independent predictor of CIN (OR = 3.97; 95% CI, 1.61–9.80; P=0.003) along with perihypotension, age >75 years, and LVEF <45%, and 0.106 was the optimal cutoff value of preprocedural FAR to predict CIN. Conclusion. Preprocedural levels of FAR were associated with CIN in patients after emergency PCI.…”
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Ten Machine Learning Models for Predicting Preoperative and Postoperative Coagulopathy in Patients With Trauma: Multicenter Cohort Study by Xiaojuan Xiong, Hong Fu, Bo Xu, Wang Wei, Mi Zhou, Peng Hu, Yunqin Ren, Qingxiang Mao

“… BackgroundRecent research has revealed the potential value of machine learning (ML) models in improving prognostic prediction for patients with trauma. ML can enhance predictions and identify which factors contribute the most to posttraumatic mortality. …”
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Development and Validation of a Risk Prediction Model for Ventricular Arrhythmia in Elderly Patients with Coronary Heart Disease by Ying Dong, Yajun Shi, Jinli Wang, Qing Dan, Ling Gao, Chenghui Zhao, Yang Mu, Miao Liu, Chengliang Yin, Rilige Wu, Yuqi Liu, Yang Li, Xueping Wang

“…We developed a risk prediction model by combining ECG and other clinical noninvasive indexes including biomarkers and echocardiology for VA in elderly patients with CHD. …”
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Predictive value of bile acids as metabolite biomarkers for gallstone disease: A systematic review and meta-analysis. by Xu Han, Juan Wang, Yingnan Wu, Hao Gu, Ning Zhao, Xing Liao, Miao Jiang

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Predictive Factors of Concerns about Falling in People with Parkinson’s Disease: A 3-Year Longitudinal Study by Magnus Lindh-Rengifo, Stina B. Jonasson, Niklas Mattsson, Susann Ullén, Maria H. Nilsson

“…One should be aware of the fact that an increased age predicts concerns about falling with and without adjusting for baseline FES-I scores, whereas female sex predicts concerns about falling only when adjusting for baseline FES-I scores.…”
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Evolutionary Prediction of Soil Loss from Observed Rainstorm Parameters in an Erosion Watershed Using Genetic Programming by Kennedy C. Onyelowe, Ahmed M. Ebid, Light Nwobia

“…The performance evaluation of the three models showed that trial 3 with the highest parametric permutation, i.e., that included the influence of all the studied parameters showed the least error of 0.1 and the maximum coefficient of determination (R2) of 0.97 and as such is the most efficient, robust, and applicable GP model to predict the soil loss value.…”
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APACHE IV Is Superior to MELD Scoring System in Predicting Prognosis in Patients after Orthotopic Liver Transplantation by Yueyun Hu, Xianling Zhang, Yuan Liu, Jun Yan, Tiehua Li, Ailing Hu

“…This study aims to compare the efficiency of APACHE IV with that of MELD scoring system for prediction of the risk of mortality risk after orthotopic liver transplantation (OLT). …”
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Combining the Fibrinogen/Albumin Ratio and Systemic Inflammation Response Index Predicts Survival in Resectable Gastric Cancer by Junbin Zhang, Yongfeng Ding, Weibin Wang, Yimin Lu, Haiyong Wang, Haohao Wang, Lisong Teng

“…Aims. Predicting the prognosis of gastric cancer using tumour-node-metastasis (TNM) staging is difficult as patients with the same TNM stage exhibit different prognoses. …”
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The role of TRECs/KRECs as immune indicators that reflect immunophenotypes and predict the risk of infection in systemic autoimmune diseases by Takuji Itakura, Hirokazu Sasaki, Tadashi Hosoya, Natsuka Umezawa, Tetsuya Saito, Hideyuki Iwai, Hisanori Hasegawa, Hiroyuki Sato, Akihiro Hirakawa, Kohsuke Imai, Tomohiro Morio, Naoki Kimura, Shinsuke Yasuda

“…The longitudinal changes in TREC and KREC levels were beneficial markers for predicting the risk of severe infection during immunosuppressive treatments.…”
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Development and validation of a nomogram to predict the probability of death after surgical evacuation for traumatic intracranial hemorrhage by Yan-Chao Zheng, Jun-Wei Qian, An-Ni Li, Yi-Nuo Yuan, Sen-Lin Ma, Mingquan Chen

“…The nomogram we developed here can be conveniently used to predict the long-term prognosis of patients with tICH after surgical evacuation. …”
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Examining a Ripple Effect: Do Spouses’ Behavior Changes Predict Each Other’s Weight Loss? by Anna E. Schierberl Scherr, Kimberly J. McClure Brenchley, Amy A. Gorin

“…Participants’ weight loss was not predicted by their partners’ behavior changes. However, partners’ weight loss was predicted by their participants’ changes in calorie and fat intake. …”
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LSTM-based framework for predicting point defect percentage in semiconductor materials using simulated XRD patterns by Mehran Motamedi, Reza Shidpour, Mehdi Ezoji

“…This LSTM-based method offers a novel approach to predicting defect percentages using simulated XRD patterns of materials.…”
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Seismic Proofing Capability of the Accumulated Semiactive Hydraulic Damper as an Active Interaction Control Device with Predictive Control by Ming-Hsiang Shih, Wen-Pei Sung

“…The proposed AIC with suitable stiffeners for the auxiliary structure at each floor with synchronous control and predictive control provide high reliability and practicability for seismic proofing of buildings.…”
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Prediction of the Collapse Region Induced by a Concealed Karst Cave above a Deep Highway Tunnel by Fu Huang, Di Wang, Yuan Feng, Min Zhang

“…Rock mass collapse threatens the safety of tunnel construction personnel. A prediction method of the collapse region induced by a concealed karst cave above a deep highway tunnel is proposed on the basis of the upper bound theorem of limit analysis. …”
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