Hybridizing Grid Search and Support Vector Regression to Predict the Compressive Strength of Fly Ash Concrete by Fei Tang, Yanqi Wu, Yisong Zhou

“…Support vector regression (SVR) has been applied to the prediction of mechanical properties of concrete, but the selection of its hyperparameters has been a key factor affecting the prediction accuracy. …”
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Preoperatory treatment of adenocarcinoma of the rectum: historical analysis and correlation between tumor regression grade and the outcomes by Jeziel Basso, Daniel de Carvalho Damin, Luis Fernando Moreira, Marta Nassif Pereira Lima, Sergio Jobim de Azevedo, Rodrigo Perez Pereira

“…The pathological tumor regression grade is an important prognostic factor. …”
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PENERAPAN METODE GEOGRAPHICALLY WEIGHTED PANEL REGRESSION (GWPR) PADA KASUS KEMISKINAN DI INDONESIA by Shantika Martha, Yundari Yundari, Setyo Wira Rizki, Ray Tamtama

“…To analyze the factor affecting poverty during several periods by considering some geographical factors, we can use a geographically weighted panel regression (GWPR) method. …”
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Integrating machine learning and symbolic regression for predicting damage initiation in hybrid FRP bolted connections by Sherif Samy Sorour, Chahinaz Abdelrahman Saleh, Mostafa Shazly

“…A design of experiments approach structured the dataset, and feature selection identified key factors influencing joint performance. ML models assessed dataset quality, with Huber regression emerging as the best-performing model. …”
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Adjustment terms and coefficients of nonlinear regression-based kurtosis-adjusted equivalent sound level method by Jinzhe LI, Anke ZENG, Jiarui XIN, Yang LI, Linjie WU, Haiying LIU, Yan YE, Meibian ZHANG

“…MethodsA cross-sectional study design was employed, enrolling 1034 manufacturing workers and evaluating noise exposure to estimate hearing loss metrics. Quantile regression analysis quantified the proportional contributions of influencing factors for noise-induced permanent threshold shift at 3, 4, and 6 kHz frequencies (NIPTS₃₄₆). …”
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A MACHINE LEARNING FRAMEWORK FOR SUICIDAL THOUGHTS PREDICTION USING LOGISTIC REGRESSION AND SMOTE ALGORITHM by Sarni Maniar Berliana, Omas Bulan Samosir, Rafidah Abd Karim, Victoria Pena Valenzuela, Krismanti Tri Wahyuni, Andi Alfian

“…The former identified physical violence, depression, and sexual violence as crucial factors, while the latter emphasized physical violence, sexual violence, and age. …”
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Sociodemographically differential patterns of chronic pain progression revealed by analyzing the all of us research program data. by Edwin Baldwin, Jin Zhou, Wenting Luo, W Michael Hooten, Jungwei W Fan, Haiquan Li

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Bus driver deceleration behavior modeling at intersections using multi-source on-board sensor data by Yancheng Ling, Zhenliang Ma, Yuchen Song, Qi Zhang, Xiaoxiong Weng, Xiaolei Ma

“…This paper develops a multiple linear regression model to analyze the factors influencing bus driver deceleration (a proxy of safe driving state) at intersections using data from multiple sources, including the on-board closed-circuit television (CCTV), the advanced driver assistance system (ADAS), the bus controller area network (CAN), the bus operation, and the driver profile data. …”
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RESTRICTED MAXIMUM LIKELIHOOD ESTIMATION FOR MULTIVARIATE LINEAR MIXED MODEL IN ANALYZING PISA DATA FOR INDONESIAN STUDENTS by Vera Maya Santi, Khairil Anwar Notodiputro, Indahwati Indahwati, Bagus Sartono

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Navigating risk: Analyzing the effects of climate change and political connections on bank financing access for the agricultural sector by Silviana Pebruary, Hadi Ismanto, Fatchur Rohman, Dwi Falihaturrohman

“…These findings highlight the importance of considering environmental and political factors in banks’ financing strategies to enhance financial stability amid the challenges posed by climate change and political dynamics. …”
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The Prediction of Soybean Price in China Based on a Mixed Data Sampling–Support Vector Regression Model by Xing Liu, Wenhuan Zhou, Zhihang Gao, Dongqing Zhang, Kaiping Ma

“…Soybean price is influenced by multiple factors, such as macroeconomic data (typically low-frequency, measured quarterly or monthly), weather conditions, and investor sentiment data (high-frequency, for example, daily). …”
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Prediction of bacteremia using routine hematological and metabolic parameters based on logistic regression and random forest models by Ting-Qiang Wang, Ying Zhuo, Chun-E Lv, Jing Shi, Ling-Hui Yao, Shi-Yan Zhang, Jinbao Shi

“…Hematological indices, inflammatory markers (e.g., C-reactive protein (CRP), procalcitonin (PCT)), metabolic indices (e.g., glucose, cholesterol) and nutritional markers (e.g., albumin) were analyzed. Univariate and multivariate binary logistic regression analyses were used to identify independent risk factors. …”
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RSA modulus length regression prediction based on the Run Test and machine learning in the ciphertext-only scenarios by Ke Yuan, Chenmeng Zhao, Longwei Yang, Hanlin Sun, Sufang Zhou, Chunfu Jia

“…Attacks against RSA mainly rely on its internal mathematical constructs, such as modulus factorization, co-modulus attack, small exponent Attack, etc. …”
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Multivariate Regression Analysis and Statistical Modeling for Summer Extreme Precipitation over the Yangtze River Basin, China by Tao Gao, Lian Xie

“…The methods of multiple stepwise regression and leave-one-out cross-validation (LOOCV) were utilized to analyze and test influencing factors and statistical prediction model. …”
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Prevalence of autoimmune diseases is strongly associated with average annual temperatures: systematic review and linear regression analysis by Konstantinos Voskarides, Sofia Philippou, Mariam Hamam, Konstantinos Parperis

“…We aimed to investigate the prevalence of five main autoimmune diseases in 201 countries according to average annual temperatures. Methods Linear regression analysis was performed for 201 countries by analyzing average annual temperatures and age-standardized rates (prevalence) of five autoimmune diseases: alopecia areata, diabetes mellitus (DM) type 1, inflammatory bowel disease (IBD), psoriasis and rheumatoid arthritis (RA). …”
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IMPLEMENTATION OF GEOGRAPHICALLY WEIGHTED PANEL REGRESSION WITH GAUSSIAN KERNEL WEIGHTING FUNCTION IN THE OPEN UNEMPLOYMENT RATE MODEL by Indria Saska, Sifriyani Sifriyani

“…This study analyzes the factors influencing the Open Unemployment Rate in Kalimantan using the Geographically Weighted Panel Regression (GWPR) model with Gaussian kernel weighting functions. …”
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Dynamics of goat population and production in Papua and West Papua Provinces: Correlation and regression analysis (2000-2023) by Mohamad Jen Wajo, Johan F. Koibur, Deni A. Iyai, Stepanus Pakage, Freddy Pattiselanno, John Arnold Palulungan

“… This study investigates the trends in goat population and meat production in Papua and West Papua from 2000 to 2023, analyzing the relationship between population growth, production output, and key management factors. …”
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Correlation of gastrointestinal symptoms with sleep disorders， anxiety and depression in hemodialysis patients identified by LASSO-logistic regression by Li Xiao-ye, Ding Yu-rong, Zhang Jing

“…General data of two groups of patients were compared. LASSO-logistic regression was used to analyze the influencing factors for gastrointestinal symptoms in hemodialysis patients. …”
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Simulation of the Bankruptcy Event of Companies Associated with a Business Group by V. V. Lopatenko, A. M. Karminsky

“…The purpose of the study is to determine the influence of a business group on the assessment of the borrower’s creditworthiness, as well as to identify the most significant credit risk factors. Despite the fact that creditworthiness assessment is widely disseminated in both domestic and foreign literature, the impact of the consolidated group in the context of this problem is practically not mentioned. …”
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Potential investment to professional sport subjects by Oleg V. Litvishko, Roman R. Veynberg

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