Strategic analysis of influence of external and internal factors on stability of the banking sector of a financial system by A. V. Milenkov

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Hospitalization costs of oral cancer patients in Southeast of China: a quantile regression analysis by Xiaodan Bao, Weihai Huang, Yulan Lin, Fa Chen, Fengqiong Liu, Yu Qiu, Bin Shi, Lisong Lin, Jing Wang, Baochang He

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Anemia prevalence and associated factors among students benefiting from the rural compulsory education nutrition improvement program in Jilin province in 2023: a cross-sectional st... by Hongli CUI, Xingang ZHANG, Liwei ZHANG, Bo LUAN, Sijie LIU

“…The chi-square test and multivariate binary logistic regression analysis were used to analyze the anemia status and its influencing factors among the students. …”
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Classification of traffic accidents’ factors using TrafficRiskClassifier by Wei Sun, Lili Nurliyana Abdullah, Fatimah binti Khalid, Puteri Suhaiza binti Sulaiman

“…Furthermore, the TrafficRiskClassifier model delineates a functional nexus between accident risk and variables such as weather, road conditions, and personal factors, employing a polynomial regression approach. …”
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ANALYZING THE EFFECTIVE FACTORS IN REDUCING APPLE WASTES IN WEST AZARBAIJAN PROVINCE by Hazhar PANAH, Loghman RASHIDPOUR, Soleiman RASOULIAZAR

“…The reliability of the questionnaire was confirmed by Cronbach Alfa coefficient (83%). The data was analyzed by using descriptive and inferential methods (percent, mean, correlation coefficient and regression analysis) by using SPSS statistical software. …”
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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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Applying a logistic regression-clustering joint model to analyze the causes of prolonged pre-analytic turnaround time for urine culture testing in hospital wards by Shuangshuang Lv, Huan Ye, Yuan Li, Jian Zhang

“…Post-intervention data (May 2024–July 2024, *n* = 1,456) was also analyzed to assess the impact.ResultsAnalysis of the critical risk factors revealed that specimens collected between 04:00–05:59/10:00–11:59 had 142.92-fold higher delay odds (95% CI: 58.81–347.37). …”
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Machine learning-based prediction of post-induction hypotension: identifying risk factors and enhancing anesthesia management by Ming Chen, Dingyu Zhang

“…Machine learning is an effective tool to analyze large amounts of data and identify perioperative complication factors. …”
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Improving residential environments: analyzing factors influencing individual travel and neighborhood environment by Youngin Song, Seok Lee, Gunwon Lee

“…A multiple regression analysis was conducted to evaluate the effects of individual, household, and land-use characteristics on travel behavior. …”
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Spatial–temporal evolution and associated factors of older adult care institutions in Shanghai by Xingxing Yin, Jinghang Cui, Yifan Wu, Mingxuan Cui, Kun Li, Haoxiang Guo

“…This study is based on data from 1,272 older adult care institutions in Shanghai. It uses spatial analysis methods to visually display the spatial evolution of older adult care institutions in the city and analyzes the influencing factors of their spatial distribution patterns using a geographic detector approach.MethodsThe research methodology used in the study includes Kernel Density Estimation for visualizing the spatial distribution of older adult care institutions in Shanghai, the Rand Index for measuring the match between older adult care institutions and the older adult population, and Geographically Weighted Regression for addressing spatial heterogeneity by providing local estimates for regression coefficients at different geographical locations.ResultsThe number of older adult care institutions in Shanghai has seen significant growth over the past 20 years, increasing fourfold due to the rise in both public and private facilities. …”
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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

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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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Regression Analysis of Heat Release Rate for Box-Type Power Bank Based on Experimental and Machine Learning Methods by Shihan Luo, Hua Chen, Xiaobing Mao, Wenbing Zhu, Yuanyi Xie, Wenbin Wei, Mengmeng Jiang, Chenyang Zhang, Chaozhe Jiang

“…This study uses experimental testing and machine learning regression analysis to explore the heat release rate (HRR) characteristics and influencing factors of box-type power banks under fire conditions. …”
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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

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Analyzing the Prevalence of and Factors Associated with Road Traffic Crashes (RTCs) among Motorcyclists in Bangladesh by Md. Mamun Miah, Biton Chakma, Kabir Hossain

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On the Issue of Analyzing and Optimizing the Salary Budget of Professional Hockey Clubs by I. P. Kurochkina, L. A. Mamatova, E. B. Shuvalova, N. A. Malysheva

“…In order to obtain the highest quality regression model, a posteriori approach was used in the selection of factors that should be included in the final version of the regression model. …”
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The method for impact analyzing of duplex plasma nitriding and DLC coatings on the cyclic performance of 16MnCr5 piston pin steel under plain and fretting fatigue testing by Mobin Dizisaz, Mohammad Sadegh Aghareb Parast, Mohammad Azadi

“…The impact of the mentioned parameters on the fatigue behavior of the samples was carefully analyzed using regression models to identify the influential or significant factors. • Fully reversed rotary bending plain and fretting fatigue testing was conducted at stress levels ranging from 250 to 550 MPa. …”
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The Role of Country- and Firm-Level Factors in Determining Firms’ Environmental, Social, and Governance (ESG) Performance: A Machine Learning Approach by Eman Abdelfattah, Mahfuja Malik, Syed Muhammad Ishraque Osman

“…The second-best predictive model was the extra-trees regressor with an R2 value of 27% and an MAE of 1.56. In our analysis, the multiple regression model had the lowest R2 value of 14%, with an MAE value of 1.70. …”
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Analysis of spatial and temporal distribution of grassland yield under grassland ecological subsidy policy by ZhanMing Qiao, Feng Lai, ZengLian Xiong, QuanMin Dong, Yang Yu, ChunPing Zhang, Quan Cao

“…Based on the grassland yield data from 2011 to 2016, this paper analyzed the spatial and temporal distribution of grassland yield and variations in grass production since the implementation of the grassland ecological subsidy policy in Qinghai Province by using linear regression analysis, coefficient of variation, and biased correlation analysis. …”
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Analysis of the Stability of the Banking Sector of Azerbaijan in Conditions of Economic Crisis Based on the Econometric Model by S. M. Huseynova, T. Ja. Hajizada

“…To carry out the analysis and construct regression equations, quarterly data for the period 2012-2023 were used. …”
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