Prediction of buckling damage of steel equal angle structural members using hybrid machine learning techniques by Nang Xuan Ho, Tien-Thinh Le, The-Hung Dinh, Van-Hai Nguyen

“…Abstract This article deals with prediction of buckling damage of steel equal angle structural members using a surrogate model combining machine learning and metaheuristic optimization technique. …”
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Proteomics-based mortality prediction modeling in type 2 diabetes: new promise for personalized treatment and prevention by Lu Gan, Changde Wang, Xiaoying Liu

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Aberrant SNHG expression predicts poor prognosis in esophageal cancer using meta-analysis and bioinformatics analysis by Ke Shi, Li-De Huang, Dan Li, Wei-Min Luo, Hua-Song Liu, Dong-Xiao Ding, Qiang Guo, Yue-Feng Liu

“…In populations with low expression of SNHG2, SNHG5, and SNHG12, increasing SNHG expression predicted a favorable cancer prognosis (HR: 0.511, 95%CI = 0.322-0.700). …”
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A Hybrid Method to Predict the Remaining Useful Life of Scroll Wheel of Control Rod Drive Mechanism by Kang Zhu, Xinwen Zhao, Liming Zhang, Hang Yu

“…This paper proposes a hybrid method to predict its remaining useful life when the available degradation data are rare and the failure threshold cannot be accurately defined. …”
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Prediction of stunting and its socioeconomic determinants among adolescent girls in Ethiopia using machine learning algorithms. by Alemu Birara Zemariam, Biruk Beletew Abate, Addis Wondmagegn Alamaw, Eyob Shitie Lake, Gizachew Yilak, Mulat Ayele, Befkad Derese Tilahun, Habtamu Setegn Ngusie

“…The performance of the predictive model was evaluated using evaluation metrics value through Python software. …”
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Research on a Numerical Simulation and Prediction Model of Floor Mining Failure Depth in the Chenghe Mining Area by Ang Li, Qian Mu, Wenzhong Zhang, Chaoyang Liu, Feng Wang, Lin Mou

“…Ordovician limestone water on the floor is a serious threat to the safety of coal mine production in the Weibei coalfield, and prediction of the floor failure depth is the key for evaluating the mining conditions under pressure. …”
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Zonation system in admission of new student at state secondary school in Indonesia: how predictable to learning success by B. Bulkani, M. Fatchurahman, M. A. Setiawan

“…From the problems above, this study aims to find differences in learning achievement in terms of admission, predict learning achievement from elementary school to junior high school, and determine graduation document predictions with a zoning system on student achievement.Research methodology and methods. …”
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Interior Convection Regime, Host Star Luminosity, and Predicted Atmospheric CO2 Abundance in Terrestrial Exoplanets by Antonin Affholder, Stéphane Mazevet, Boris Sauterey, Dániel Apai, Régis Ferrière

“…Constraining observational strategies able to infer the most common regime in terrestrial exoplanets requires quantitative predictions of the atmospheric composition of planets in either regime. …”
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The Factors That May Predict Response to Rituximab Therapy in Recurrent Focal Segmental Glomerulosclerosis: A Systematic Review by Carlos E. Araya, Vikas R. Dharnidharka

“…A younger age at transplant and normal serum albumin level at recurrence diagnosis may predict response.…”
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Use of Machine Learning Models for Prediction of Organic Carbon and Nitrogen in Soil from Hyperspectral Imagery in Laboratory by Manuela Ortega Monsalve, Mario Cerón-Muñoz, Luis Galeano-Vasco, Marisol Medina-Sierra

“…The objective of this research is to use statistical models to predict OC and N in soils from hyperspectral images. …”
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Prediction of Associations between OMIM Diseases and MicroRNAs by Random Walk on OMIM Disease Similarity Network by Hailin Chen, Zuping Zhang

“…Excellent performance enables us to predict a number of new potential OMIM disease-miRNA associations and the newly predicted associations are publicly released to facilitate future studies. …”
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Does the CDC Surgical Wound Classification adequately predict postoperative infection in lower extremity fracture surgery? by Elizabeth Cho, MD, Hanna House, MD, Andrew Marten, BS, Marina Feffer, MPH, Julie Agel, MA, John Scolaro, MD, Meir Marmor, MD, Ashley E. Levack, MD, MAS, OTA Classification & Outcomes Committee, James Kellam, MD, Gillian Soles, MD, Jarrod Dumpe, MD, Kyle Schweser, MD, Geoffrey Maracek, MD

“…The purpose of this investigation was to evaluate the utility of the Centers for Disease Control (CDC) Surgical Wound Classification (SWC) in predicting surgical site infection (SSI) after orthopaedic trauma procedures. …”
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Dust Storm Attenuation Prediction Using a Hybrid Machine Learning Model Based on Measurements in Sudan by Elfatih A. A. Elsheikh, E. I. Eltahir, Abdulkadir Tasdelen, Mosab Hamdan, Md Rafiqul Islam, Mohamed Hadi Habaebi, Aisha H. Abdullah Hashim

“…However, these models are found unable to predict most of the attenuation measurements. This study presents a hybrid Machine Learning (ML) model that predicts dust storm attenuation for 22 GHz terrestrial links using meteorological data. …”
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Prediction of Genes Related to Positive Selection Using Whole-Genome Resequencing in Three Commercial Pig Breeds by HyoYoung Kim, Kelsey Caetano-Anolles, Minseok Seo, Young-jun Kwon, Seoae Cho, Kangseok Seo, Heebal Kim

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Long-Term Predictive Modelling of the Craniofacial Complex Using Machine Learning on 2D Cephalometric Radiographs by Michael Myers, Michael D. Brown, Sarkhan Badirli, George J. Eckert, Diane Helen-Marie Johnson, Hakan Turkkahraman

“…Objective: This study aimed to predict long-term growth-related changes in skeletal and dental relationships within the craniofacial complex using machine learning (ML) models. …”
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Unbalance Response Prediction for Rotors on Ball Bearings Using Speed- and Load-Dependent Nonlinear Bearing Stiffness by David P. Fleming, J. V. Poplawski

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To construct and validate a risk score model of angiogenesis-related genes to predict the prognosis of hepatocellular carcinoma by Duangui Gao, Yuan Lu, Tianpeng Jiang, Qinghong Duan, Zhi Huang

“…The GSVA analysis suggested that the predicted high-risk population showed higher activity in the purine, pyrimidine, and riboflavin metabolic pathways. …”
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APBIO: bioactive profiling of air pollutants through inferred bioactivity signatures and prediction of novel target interactions by Eva Viesi, Ugo Perricone, Patrick Aloy, Rosalba Giugno

Subjects: “…Compound-target interaction prediction…”
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Passenger Flow Path Prediction Based on Urban Rail Transit AFC Data: An Example of Chengdu, China by Yu Wang, Qixuan Qin, Jialiang Chen, Jiangbo Wang, Kai Liu

“…The development of the automatic fare collection (AFC) systems provides significant support for predicting passenger flow on urban rail transit. This paper extracts passenger travel patterns using AFC data on urban rail transit in Chengdu, China, over a one-month period. …”
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Predicting Intensive Care Unit Admissions in COVID-19 Patients: An AI-Powered Machine Learning Model by A. M. Mutawa

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