Bioinformatic Prediction of Novel microRNAs Encoded in Krüppel-like Factor 4 Gene by Mina Zahiri, Maryam Hassanlou, Amir-Reza Javanmard, Nooshin Bijari

“…Advanced bioinformatics methods, including SSCprofiler website, were used to predict stem-loop structures in KLF4 gene, and MatureBayes website was used to predict the mature sequence of microRNAs, which indicate potential miRNA candidates. …”
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Model-Based Predictive Detector of a Fire inside the Road Tunnel for Intelligent Vehicles by Marián Hruboš, Dušan Nemec, Emília Bubeníková, Peter Holečko, Juraj Spalek, Michal Mihálik, Marek Bujňák, Ján Andel, Tomáš Tichý

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Can Impaired Elasticity of Aorta Predict the Success of Vardenafil Treatment in Patients with Erectile Dysfunction? by Hüseyin Ede, Serhat Tanik, Barış Yaylak, Kürşad Zengın, Sebahattin Albayrak, Suleyman Akkaya, Cegergun Polat, Yaşar Turan, Alirıza Erbay

“…Here, we aimed to evaluate the role of aortic elasticity in predicting vardenafil success among patients with ED. …”
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Machine Learning for Predicting Distant Metastasis of Medullary Thyroid Carcinoma Using the SEER Database by Zhen-Tian Guo, Kun Tian, Xi-Yuan Xie, Yu-Hang Zhang, De-Bao Fang

“…We aimed to establish an effective machine learning (ML) model for predicting the risk of distant metastasis (DM) in medullary thyroid carcinoma (MTC). …”
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Preoperative prediction of multiple biological characteristics in colorectal cancer using MRI and machine learning by Qiao-yi Huang, Hui-da Zheng, Bin Xiong, Qi-ming Huang, Kai Ye, Shu Lin, Jian-hua Xu

“…Alteration in molecular characteristic expression is closely related to tumor invasiveness and can serve a novel biomarker for predicting cancer prognosis. In this study, we aimed to construct radiomic models through machine learning to predict the progression of CRC. …”
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Cuproptosis-Related Signature Predicts the Prognosis, Tumor Microenvironment, and Drug Sensitivity of Hepatocellular Carcinoma by Xiangjun Qi, Jiayun Guo, Guoming Chen, Caishan Fang, Leihao Hu, Jing Li, Chi Zhang

“…The ability of the signature to predict conventional anti-HCC agent responses was evaluated. …”
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Decision Tree Ensembles to Predict Coronavirus Disease 2019 Infection: A Comparative Study by Amir Ahmad, Ourooj Safi, Sharaf Malebary, Sami Alesawi, Entisar Alkayal

“…Machine learning algorithms have been applied to various kinds of datasets to predict Covid-19 positive cases. The machine learning algorithms were applied on a Covid-19 dataset based on commonly taken laboratory tests to predict Covid-19 positive cases. …”
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Machine learning-based prediction of the mechanical properties of β titanium shape memory alloys by Naoki Nohira, Taichi Ichisawa, Masaki Tahara, Itsuo Kumazawa, Hideki Hosoda

“…This study developed machine learning (ML) models to predict the mechanical properties of Ni-free β-type titanium shape memory alloys (SMAs). …”
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Location-Dependent Prediction of Dynamic Stability Limit for Peripheral Milling of Surfaces with Variable Curvatures by Baosheng Wang, Hongyan Hao, Mulan Wang, Junming Hou

“…In addition, a location-dependent method for predicting the stability associated with the peripheral milling of a complex surface is put forward and simulation is carried out to generate a stability limit diagram. …”
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Prediction of mental strength from the satisfaction of basic needs in CABA and GBA esports players by Pablo Christian González Caino

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Chaotic gradient based optimization with fuzzy temporal optimized CNN for heart failure prediction by G. Kajeeth Kumar, S. Muthurajkumar

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Prediction of Intraformational Remaining Oil Distribution Based on Reservoir Heterogeneity: Application to the J-Field by Jie Zhang, Feifei Fang, Jie Wang, Yajie Tian, Fei Mo, Qi Li, Sainan Li, Xiaoliang Huang, Yi Yang

“…The composite index of pore structure is used to analyze and predict the distribution of remaining oil in the layer, which provides a new direction for the prediction method of remaining oil.…”
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Deformation Prediction of Foundation Pit Based on Exponential Power Product Model of Improved Algorithm by Chuankui Jing, Hao Wang, Hongsong Li

“…In order to improve the prediction accuracy of foundation pit deformation, an improved optimization algorithm of supply and demand-exponential power product foundation pit deformation prediction model (ISDO-EPP model) is proposed. …”
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Atypical Mucin Expression Predicts Worse Overall Survival in Resectable Pancreatic Ductal Adenocarcinoma by Yunzhen Qian, Yitao Gong, Yu Liu, Yusheng Chen, Ruijie Wang, Zhengjie Dai, Xuan Zou, Yesiboli Tasiheng, Guopei Luo, Xuan Lin, Xu Wang, He Cheng, Xianjun Yu, Chen Liu

“…The presence of MUC2 showed marginal significance in predicting shorter OS of PDAC patients, while MUC5AC had no prognostic value. …”
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Sexual Effect of Platelet-to-Lymphocyte Ratio in Predicting Cardiovascular Mortality of Peritoneal Dialysis Patients by Hui Sheng, Yagui Qiu, Xi Xia, Chunyan Yi, Jianxiong Lin, Xiao Yang, Fengxian Huang

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Biliary Atresia Treatment: Can Shear Wave Elastography Predict Kasai Procedure Outcomes? by Sekarsari Damayanti, Gema Ramadhan Muhammad, Rinaldhy Kshetra, Prihartono Joedo

“…This underlines the significance of our study in investigating shear wave elastography as a predictive tool for the success of Kasai procedure in biliary atresia patients. …”
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Prediction Method of Maximum Propagation Angle in Parabolic Equation Model over Irregular Terrain by Rui Zhang, Hongguang Wang, Zhensen Wu, Leke Lin, Zhenwei Zhao

“…The parabolic equation (PE) model is effective for predicting signal propagation over irregular terrains. …”
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Evaluation of Bacillus Strains for Plant Growth Promotion and Predictability of Efficacy by In Vitro Physiological Traits by Rufus J. Akinrinlola, Gary Y. Yuen, Rhae A. Drijber, Anthony O. Adesemoye

“…The objectives of this study were to (1) identify Bacillus strains that can be consistent in promoting the growth of corn, wheat, and soybean and (2) determine whether physiological traits expressed in vitro can be predictive of growth promotion efficacy/consistency and be used for selecting effective strains. …”
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XGBoost-enhanced ensemble model using discriminative hybrid features for the prediction of sumoylation sites by Salman Khan, Sumaiya Noor, Tahir Javed, Afshan Naseem, Fahad Aslam, Salman A. AlQahtani, Nijad Ahmad

“…This study introduces XGBoost-Sumo, a robust model to predict sumoylation sites by integrating protein structure and sequence data. …”
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Postoperative Axial Length Prediction Model in Children With Congenital Cataract and Intraocular Lens Implantation by Jialin Xu, Yunhui Yu, Yaqi Wang, Shenrong Zhang, Enze Liu, Wenjing Wang, Chenyuan Zhu, Jin Li

“…Conclusions: This model predicts AL growth in children following congenital cataract surgery and IOL implantation, helping ophthalmologists select appropriate IOL power.…”
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