Extreme high accuracy prediction and design of Fe-C-Cr-Mn-Si steel using machine learning by Hao Wu, Jianyuan Zhang, Jintao Zhang, Chengjie Ge, Lu Ren, Xinkun Suo

“…The results show that the trained support vector regression (SVR) model demonstrated the highest prediction precision for microhardness. The coefficient of determination (R2) value increased from 0.85 to 0.89 and root mean square error (RMSE) decreased from 0.39 to 0.31 after introducing the modified solid solution strengthening theory. …”
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Improvement of the integral indicator for assessing the characteristics of a hybrid power plant as part of a passenger aircraft by Oleksii Pushylin

“…The methods employed in the study are system analysis, mathematical and simulation modeling, as well as retrospective and analytical methods. …”
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Gender Stereotypes and Green Banking Toward Carbon-Free Economy by Tetyana Pimonenko, Oleksii Lyulyov, Yana Us, Oleksii Dubyna, Osei Owusu Evelyn Kumah

“…To gain the research goal, this study applied the modified Cobb-Douglas function that utilizes cross-sectional data on green finance and gender determinants. The methodological tool of this research is the method of least squares. …”
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ANALISA VARIASI UKURAN RUNNER SYSTEM DAN MELT TEMPERATURE TERHADAP FILL TIME, CONFIDENCE OF FILL DAN QUALITY PREDICTION by Mario Sariski Dwi Ellianto, Midarto Dwi Wibowo, Kadex Widhy Wirakusuma

“…This research uses a simulation approach with the help of software. The simulation method is used to determine the characteristics of each variation in runner size and melt temperature. …”
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Development of a Prediction Model for Specific Fuel Consumption in Rotary Tillage Based on Actual Operation by Seung-Jun Kim, Moon-Kyeong Jang, Seok-Joon Hwang, Won Suk Lee, Ju-Seok Nam

“…The model’s accuracy was analyzed using the coefficient of determination (R²) and root mean square error (RMSE), and it was compared with the ASABE’s fuel consumption prediction model. …”
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Human Capital Growth and Employee Performance in Local Government in Uganda by moses Agaba

“…The research goals are: a) establishing the relationship between qualifications and employee performance; b) investigate whether experience influences employee performance; c) determining the relevance of knowledge relevant to employee performance; d) Determining the relationship between work methods and employee performance, both at the individual level and in relation to the entire local government. …”
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LABOR PRODUCTIVITY IN ROMANIA'S AGRICULTURE IN THE PERIOD 2011-2020 AND ITS FORECAST FOR 2021-2025 HORIZON by Agatha POPESCU, Cristiana TINDECHE, Alina MĂRCUȚĂ, Liviu MĂRCUȚĂ, Adelaida HONȚUȘ

“…The processing procedures included fixed basis index, average growth rate, average annual growth, regression models, determination coefficient, descriptive statistics (mean standard deviation and variation coefficient), comparison methods and forecast modeling. …”
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Artificial intelligence aided microwave coagulation therapy: Analysis of heat transfer to tumor tissue via hybrid modeling by Zheng Yang, KeWei Dai, Wujun Zhang, Rui Zhou, QingBin Wu, Liang Liu, HuaiRong Qu

“…The results indicated that machine learning is a robust technique in evaluation of cancer therapy efficiency via hyperthermia method by determination of temperature distribution in the tumor tissue.…”
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Development and validation of a risk prediction model for premenopausal breast cancer in 19 cohorts by Kristen D. Brantley, Michael E. Jones, Rulla M. Tamimi, Bernard A. Rosner, Peter Kraft, Hazel B. Nichols, Katie M. O’Brien, Hans-Olov Adami, Amaia Aizpurua, Amy Berrington de González, William J. Blot, Tonje Braaten, Yu Chen, Jessica Clague DeHart, Laure Dossus, Sjoerd Elias, Renée T. Fortner, Montserrat Garcia-Closas, Inger T. Gram, Niclas Håkansson, Susan E. Hankinson, Cari M. Kitahara, Woon-Puay Koh, Martha S. Linet, Robert J. MacInnis, Giovanna Masala, Lene Mellemkjær, Roger L. Milne, David C. Muller, Hannah Lui Park, Kathryn J. Ruddy, Sven Sandin, Xiao-Ou Shu, Sandar Tin Tin, Thérèse Truong, Celine M. Vachon, Lars J. Vatten, Kala Visvanathan, Elisabete Weiderpass, Walter Willett, Alicja Wolk, Jian-Min Yuan, Wei Zheng, Dale P. Sandler, Minouk J. Schoemaker, Anthony J. Swerdlow, A. Heather Eliassen

“…Abstract Background Incidence of premenopausal breast cancer (BC) has risen in recent years, though most existing BC prediction models are not generalizable to young women due to underrepresentation of this age group in model development. Methods Using questionnaire-based data from 19 prospective studies harmonized within the Premenopausal Breast Cancer Collaborative Group (PBCCG), representing 783,830 women, we developed a premenopausal BC risk prediction model. …”
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Ups and Downs of Business Activity in the Waves of Crises, the Coronavirus Pandemic and Unprecedented Western Sanctions by A. A. Frenkel, B. I. Tikhomirov, A. A. Surkov

“…To calculate the IE RAS Index, the method of construction of integral estimates of macroeconomic dynamics, correlation analysis, as well as a matrix of coefficients of pair correlation for determination of index weights are used, which is a convincing justification of scientific novelty of the proposed methodology of construction and practical use of the IE RAS Index. …”
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PENGARUH TATA RUANG DAN KOMUNIKASI INTERN TERHADAP EFEKTIVITAS KERJA GURU DI SMK NEGERI 9 SEMARANG by Ade Rustiana, Nela Harni Rosmawati

“…Data analysis technique used is descriptive analysis percentages, multiple regression analysis, simultaneous test, partial test, coefficient of determination and classical assumption. …”
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Electrocatalysis of free chlorine on hydrogen oxidation by Kye Hak Ko, Kum Hyok Ri, Song Chol Jong, Wi Song Pak

“…In a new electroanalytical method of free chlorine using the Pt disk electrode, the corresponding calibration curve exhibited a linear response in the content range from 0.02 to 0.4 mg L−1 with a correlation coefficient of 0.998. …”
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Impact Analysis of Planning and Design Elements on Urban Rail Transit Energy Consumption by GUO Yingjie, CHEN Xiaohong, LIU Haobing

“…[Objective] By establishing an energy consumption model for urban rail transit, the impact of planning and design elements on its energy consumption is analyzed, so as to guide the optimization of urban rail transit planning and design schemes from the perspective of low-carbon and energy conservation. [Method] Taking the train traction energy consumption per unit operating mileage and the power and lighting energy consumption of stations per unit time as dependent variables, and taking relevant planning and design elements, line operation, and passenger flow intensity as independent variables, the impact of planning and design elements on the energy consumption of urban rail transit is estimated through structural equation models and random coefficient models. …”
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Influence of microalgae on the fatty acid composition of Artemia cysts in the conditions of lakes of Northern Kazakhstan by Zhanara Mazhibaeva, Saltanat Orazova, Tynysbek Barakbayev, Moldir Aubakirova, Kuanysh Isbekov, Moldrakhman Aidana

“…Phytoplankton sampling was carried out by the sedimentation method, and a camera analysis of the sample was carried out using a microscope. …”
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Exploiting the lubricating and anti-corrosive functionalities of graphite particles to improve the wear and corrosion resistance of the cobalt matrix by Mahshid Tafreshi, Soheil Mahdavi, Mir Saman Safavi

“…The tribological features of the layers were measured by the pin-on-disk method, and outcomes revealed a tremendous reduction in the coefficient of friction (COF) of the Co deposit, up to 80 %, upon the inclusion of the Gr particles in the coatings. …”
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Monitoring Air Pollution Using Sentinel-5 Satellite Imagery: A Case Study of Razavi and South Khorasan Provinces by Fatemeh Kafi, Elham Yousefi, Mohammad Ehteram, Khosro Ashrafi

“…To investigate the overall ability of the TRPOPMI sensor to estimate atmospheric pollutants, the coefficient of determination (R²) was used. The results showed that the monitoring values using Sentinel-5 satellite images correlate at least 0.76% for CO, 0.85% for O3, 0.79% for NO2, and 0.78% for SO2 with the values monitored by air quality monitoring stations.…”
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A reliability model to predict failure behaviour of overlying strata in groundwater-rich coal mine by Ruirui Li, Xiaowei Hou, Luwang Chen, Yingxin Wang, Fuyou Huang, Lanting Wang

“…Rock strength parameters, including cohesion, internal friction angle, uniaxial tensile strength, and softening coefficient, are treated as random variables to determine the rock failure uncertainty. …”
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Psychometric properties of the Stress Coping Scale Brief-COPE 28 in a Peruvian population by Neicer Joel Delgado-Requejo, Julio Cesar Castillo Ramos, Lourdes Carolina Cerda Sánchez

“…Method: The design used was instrumental; 530 people participated, 60% men and 40% women, between 18 and 60 years old, from different regions of Peru, selected by non-probability convenience sampling. …”
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Quantitative Detection of Quartz Sandstone SiO2 Grade Using Polarized Infrared Absorption Spectroscopy with Convolutional Neural Network Model by Banglong Pan, Hongwei Cheng, Shuhua Du, Hanming Yu, Shaoru Feng, Yi Tang, Juan Du, Huaming Xie

“…The results show that the quantitative model by the PCA-CNN algorithm has the better prediction precision for the reciprocal logarithm data, with a coefficient of determination (R2), root mean square error (RMSE), and ratio of performance to interquartile range (RPIQ) of 0.907, 0.023, and 5.11, respectively. …”
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Silica-based ceramic cores for high-pressure turbine airfoil blades in aircraft engines by Gromada Magdalena, Tłuczek Agata, Cygan Rafał

“…The thin-walled ceramic cores were formed by the high-pressure injection moulding method, which required the selection of a thermoplasticiser, feedstock formulation and determination of the optimal processing conditions protecting the injected cores from defects and deformation. …”
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