Retracted: The Effect of Temperature on Intestinal Flora Imbalance Based on Time Series Prediction Model by Journal of Function Spaces

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Robust analysis of photovoltaic plants: A framework based on prediction uncertainties by machine learning by Seyyed Shahabaddin Hosseini Dehshiri, Bahar Firoozabadi

“…The gradient boosting regressor machine learning algorithm was predicted the PV plant for 10,000 different scenarios (R2 ∼ 98 %). …”
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To Predict the Requirement of Pharmacotherapy by OGTT Glucose Levels in Women with GDM Classified by the IADPSG Criteria by Gülen Yerlikaya, Veronica Falcone, Tina Stopp, Martina Mittlböck, Andrea Tura, Peter Husslein, Wolfgang Eppel, Christian S. Göbl

“…Also, the combination of clinical risk factors (age, BMI, parity, and pharmacotherapy in previous gestation) showed an acceptable predictive accuracy (ROC-AUC: 72.1, 95% CI: 65.0–79.2), which was further improved when glycemic parameters were added (ROC-AUC: 77.5, 95% CI: 71.5–83.9). …”
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Preoperative Alpha-Fetoprotein Slope is Predictive of Hepatocellular Carcinoma Recurrence after Liver Transplantation by Kathy Han, George N Tzimas, Jeffrey S Barkun, Peter Metrakos, Jean I Tchervenkov, Nir Hilzenrat, Phil Wong, M Deschênes

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Financial Futures Prediction Using Fuzzy Rough Set and Synthetic Minority Oversampling Technique by Shangkun Deng, Yingke Zhu, Ruijie Liu, Wanyu Xu

“…In this research, a novel approach called SMOTE-FRS is proposed for movement prediction and trading simulation of the Chinese Stock Index 300 (CSI300) futures, which is the most crucial financial futures in the Chinese A-share market. …”
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Adaptive Predictive Control: A Data-Driven Closed-Loop Subspace Identification Approach by Xiaosuo Luo, Yongduan Song

“…This paper presents a data-driven adaptive predictive control method using closed-loop subspace identification. …”
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Improved Quantile Convolutional and Recurrent Neural Networks for Electric Vehicle Battery Temperature Prediction by Andreas M. Billert, Runyao Yu, Stefan Erschen, Michael Frey, Frank Gauterin

“…The battery thermal management of electric vehicles can be improved using neural networks predicting quantile sequences of the battery temperature. …”
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High serum CA19-9 predicts severe cholecystitis in calculous cholecystitis patients by Shouwen Wang, Dachen Zhou, Wanjin Chen, Qi Guo, Liujin Hou, Ruolin Wu, Wei Wang, Muhammad Annus Khan, Muhammad Ahmad, Fan Huang, Meijuan Zheng, Guobin Wang, Hongchuan Zhao, Xiaoping Geng, Xiaojun Yu

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Current Controversies in the Prediction, Diagnosis, and Management of Cerebral Vasospasm: Where Do We Stand? by Young Lee, Scott L. Zuckerman, J. Mocco

“…The abilities of different computed tomography grading schemes to predict vasospasm in the aftermath of subarachnoid hemorrhage are presented. …”
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A new signature associated with anoikis predicts the outcome and immune infiltration in nasopharyngeal carcinoma by Yonglin Luo, Wenyang Wei, Yaxuan Huang, Jun Li, Weiling Qin, Quanxiang Hao, Jiemei Ye, Zhe Zhang, Yushan Liang, Xue Xiao, Yonglin Cai

“…This study aimed to create a predictive risk score using an ARGs signature for NPC patients and to investigate how this score relates to clinicopathologic features and immune infiltration in the tumor microenvironment. …”
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Short communication: Genomic prediction based on unbiased estimation of the genomic relationship matrix in pigs by M.Y. Li, L.Y. Shi, D.E. MacHugh, X.Q. Wang, J.J. Tian, L.G. Wang, Y.J. Deng, L.X. Wang, F.P. Zhao

Subjects: “…Genomic best linear unbiased prediction…”
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A Machine Learning Algorithm to Predict Medical Device Recall by the Food and Drug Administration by Victor Barbosa Slivinskis, Isabela Agi Maluli, Joshua Seth Broder

“…Conclusion: An ML algorithm accurately predicted medical device recall status by the FDA with lead times as great as 12 months. …”
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Performance Analysis of Thermodynamic Indices and Atmospheric Stability Parameters in Thunderstorm Prediction: The Case of Samsun by Ahmet Can Kaya, Veli Yavuz

“…According to the results, the most successful index in thunderstorm prediction was SI, while the performance of CAPE and BRN parameters was the lowest. …”
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External validation of the prediction model of intradialytic hypotension: a multicenter prospective cohort study by Yuhe Xiang, Guoting Ma, Qin Yang, Min Cao, Wenbin Xu, Lin Li, Qian Yang

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Prediction of three-dimensional crack propagation paths taking high cycle fatigue into account by Guido Dhondt

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Option Volatility Investment Strategy: The Combination of Neural Network and Classical Volatility Prediction Model by Yuanyang Teng, Yicun Li, Xiaobo Wu

“…This study focuses on the volatility prediction and option volatility investment. By investigating the traditional Volatility Prediction Model and machine learning algorithms, this study tries to merge these two aspects together. …”
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BDVCM about the Steel Box Girder Reliability Prediction Based on Monitoring Extreme Stresses by Yuefei Liu, Xueping Fan, Guanghong Yang, Zhipeng Shang, Xiaoxiong Zhao

“…The analytical results illustrated that the predicted results, without considering the dynamic nonlinear dependence among the failure modes of the multiple monitoring points, are conservative.…”
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Predicting Factors of Drop Out Counseling Process in University Psychological Counseling and Guidance Center by Ömer ÖZER, Ahmet ALTINOK

“…Objective: The purpose of this study is to evaluate the predicting factors the drop out the counseling process . …”
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Prediction of Horizontal Pneumatic Conveying of Large Coal Particles Using Discrete Phase Model by Daolong Yang, Ge Li, Yanxiang Wang, Qingkai Wang, Jianping Li, Qianqian Huang, Youtao Xia, Qian Li

“…Previous work has been conducted in the fields of small particles, where the size was less than 5 mm; however, there are few studies regarding large sizes (>5 mm). In order to predict the horizontal pneumatic conveying of large coal particles, the coupling methods based on the Euler–Lagrange approach and discrete phase model (DPM) have been used for the simulated research. …”
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Prediction Mathematic Model and Influencing Factors of Contact Stress of Cylindrical Gear with Arc Tooth by Qi Zhang, Guang Wen, Shuang Liang, Qin Tong, Li Hou, Guangchun Yang

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