Toward Building Model of Business Closure Intention in SMEs: Binomial Logistic Regression by Gelmar García-Vidal, Alexander Sánchez-Rodríguez, Laritza Guzmán-Vilar, Reyner Pérez-Campdesuñer, Rodobaldo Martínez-Vivar

“…The survey evidence from 385 Ecuadorian SMEs was analyzed in two stages; confirmatory factor analysis validated the scales capturing environmental pessimism and personal pressures, and a structural equation model confirmed that both latent constructs directly heighten exit propensity. …”
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Thermal Mitigation in Coastal Cities: Marine and Urban Morphology Effects on Land Surface Temperature in Xiamen by Tingting Hong, Xiaohui Huang, Qinfei Lv, Suting Zhao, Zeyang Wang, Yuanchuan Yang

“…The study area was categorized based on the influence of marine factors, and the spatial relationships between urban morphological elements and LST were analyzed using a multiscale geographically weighted regression model. …”
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Analysis of Risk Factors for Severe Postpartum Hemorrhage by Yongxin Zhang, Jing Zhang, Kaihua Guo, Yanan Gao, Yu Zhu, Guohua Zhang

“…Conclusions: Probable causes of sPPH related and risk factors in order to present prevention and treatment strategies in a retrospective analysis of 1824 patients that showed PPH were outlined. …”
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Sociological Analysis of the Factors Influencing the Voting Pattern by karim rezadoust, marziyeh shahriari, mona fazelipour

“…In analyzing the data, descriptive statistics such as mean and frequency distribution tables and analytical methods, such as correlation and linear and logistic regression analysis were used. …”
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Analysis of influencing factors of the efficacy of endoscopic dacryocystorhinostomy by YAO Yuejiao, MO Ya

“…The results of Logistic regression analysis showed that inferior turbinate hypertrophy was a risk factor for the efficacy of En-DCR (P<0.05). …”
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Estimation of soil thickness in karst landforms using a quantile regression forests approach by Fayong Fang, Ruyi Zi, Zhen Han, Qian Fang, Rui Hou, Longshan Zhao

“…We employed a quantile regression forests (QRF) approach to estimate soil thickness and evaluate the associated uncertainty in the predicted results. …”
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Large biogenic contribution to boundary layer O3‐CO regression slope in summer by Ye Cheng, Yuhang Wang, Yuzhong Zhang, Gao Chen, James H. Crawford, Mary M. Kleb, Glenn S. Diskin, Andrew J. Weinheimer

“…The observations are simulated well by a regional chemical transport model. We analyze the model results to understand the factors contributing to the observed O3‐CO regression slope, which has been used in past studies to estimate the anthropogenic O3 production amount. …”
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Analyzing factors influencing dairy farmers’ intention to implement animal welfare practices: a case study of Germany by Henrike Grotsch, Henrike Grotsch, Marcus Mergenthaler, Holger Schulze

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Progressive Framework for Analyzing Driving Mechanisms of Ecosystem Services in Resource-Exhausted Cities: A Case Study of Fushun, China by Yuyan Pan, Yanpeng Gao, Hongchang Qian

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Generalized linear models applied to the analysis of the effectiveness of the Sterile Insect Technique by Guilherme Rodrigues, Ariane Campolim Cristino, Daniela R. Cantane, Helenice O. Florentino, Marco A. R. Fernandes, Paulo E. M. Ribolla, Rogerio A. Oliveira

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Analysis of influencing factors for subcutaneous effusion after cranioplasty by LIU Yang, ZHANG Wen⁃yi, WANG Yun⁃peng, ZHAO Kun, WANG Jian, LIU Ai⁃xian

“…All the 29 patients recovered and there was no bleeding, scalp damage, implant exposure, poor wound healing and intracranial infection after the treatment. Logistic regression analysis showed that age increase (OR = 1.075, 95%CI: 1.027-1.126; P = 0.002), polyether ⁃ ether ⁃ ketone (PEEK) repair material (OR = 7.673, 95%CI: 2.227-26.435; P = 0.001) and 24 h drainage increase before drain removal (OR = 1.026, 95%CI: 1.008-1.044; P = 0.004) were risk factors for SCE after cranioplasty. …”
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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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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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Determinants of the growth of advertising agencies in the Republic of Serbia by Nuševa Daniela, Dakić Stojanka, Peštović Kristina, Vuković Bojana, Macura Nikola

“…The research was conducted on a sample of 561 observations of indicators from the financial reports of advertising agencies with the application of panel regression analysis. The research results primarily indicate that advertising agencies on average achieve a positive growth in sales revenue, which indicates the stability of business over a long period of time. …”
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Moderating Role of Health Services and Personnel on the Relationship between Education, Income, and Crude Birth Rate in Bogor Regency, Indonesia by Budi Susetyo, Novel Anak Lyndon, Yuggo Afrianto, Riny Kusumawati, Widyasari Widyasari, Fety Fatimah, Desmy Riani

“…The data were collected using a structured questionnaire. The data were analyzed using descriptive statistics, regression analysis, and moderating effect analysis. …”
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Simulation of the Bankruptcy Event of Companies Associated with a Business Group by V. V. Lopatenko, A. M. Karminsky

“…Analyzed data of 8691 companies providing annual financial statements in accordance with Russian accounting standards from 2015 to 2021. …”
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Trend analysis of pressure ulcers in adults 60 years and older from 1990 to 2021 using jointpoint regression and Bayesian age period cohort models by Yueshan Pang, Yanbin Du, Wei Zhou, Shan Liu, Yiran Yuan

“…Joinpoint regression analysis was used to assess temporal trends, and a Bayesian age period cohort (BAPC) model was applied to forecast future burdens. …”
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MODELING HOUSE SELLING PRICES IN JAKARTA AND SOUTH TANGERANG USING MACHINE LEARNING PREDICTION ANALYSIS by Sugha Faiz Al Maula, Nicoletta Almira Dyah Setiawan, Elly Pusporani, Sa'idah Zahrotul Jannah

“…Despite government efforts through mortgage subsidy programs, affordability remains a concern, particularly in peripheral regions. This study aims to analyze housing prices in various Jakarta regions using machine learning models, including Multiple Linear Regression (MLR), Support Vector Regression (SVR), Light Gradient Boosting Machine (LGBM), and Random Forest. …”
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Analyzing the spatiotemporal effects of meteorological factors on hand, foot and mouth disease using mixed geographically and temporally weighted autoregressive models by Huiguo Zhang, Geng Chen, Mengqi Chen, Siang Wang, Zhi Zhang

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