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 eliminate it, Newey-West corrections are applied, adjusting the variation-covariance matrix to obtain more consistent estimates of regression coefficients.Results. When selecting indexes to study the degree of impact of macroeconomic factors on the stability of the banking sector, we took into account the peculiarities of the economy of our country. …”
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Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regression by Deresse Abebe Gebrehana, Tadesse Tarik Tamir, Gebretsadik Endeshaw Molla, Yishak Kebede, Dejen Tegegne, Solomon Gedlu Nigatu, Araya Mesfin Nigatu

“…A weighted sample of 5,907 women of reproductive age was analyzed using ArcGIS 10.7. Multiscale geographically weighted regression was employed to identify predictors of anemia.ResultsThe national prevalence of anemia among women of reproductive age in Mozambique was 51.89% (95% CI: 50.66, 53.12%). …”
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Financial Dynamics of Cooperatives of the Popular and Solidarity Economy of Ecuador: An Analysis Using the Tucker3 Model and Projection with Multidimensional Neutrosophic Regressio... by Gabriela Valeria Bustos–Chiliquinga, Purificación Galindo-Villardón, Cristian Cornejo Gaete

“…A population sample of 25 cooperatives belonging to segment 1 was analyzed in terms of their behavior across seven significant financial variables for eight consecutive years, factoring into a 25×7×8 tensor. …”
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AI enhanced model predictive control for optimizing LPG recovery through integrated computational modeling design of experiments and multivariate regression by Basma Abd El Hakim, Mahmoud Abdel-Halim Abdel-Goad, M. E. Awad, Abeer M. Shoaib

“…Response surface methodology (RSM) was applied to steady-state simulation results to analyze key process variables. Feed molar flow rate was the most influential factor, while pressure-related variables showed minor but statistically significant effects. …”
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LASSO regression-based nomogram for distinguishing nontuberculous mycobacterial pulmonary disease from pulmonary tuberculosis: a clinical risk prediction model by Wei Zhang, Tuantuan Li, Haiqing Liu, Xiaoyu Cao, Hao Yan, Yong Gao

“…By gathering clinical data and laboratory inflammation markers of the patients, key predictive factors were identified using LASSO regression. These factors were further analyzed through univariate and multivariate logistic regression analysis to determine the influencing factors of NTM-PD, thereby constructing a nomogram prediction model. …”
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THE SCIENTIFIC AND METHODOLOGICAL ASPECTS OF THE PROBLEM OF MIGRATION PROCESSES MODELING IN THE SUBJECTS OF THE RUSSIAN FEDERATION by R. V. Fattakhov, M. M. Nizamutdinov, V. V. Oreshnikov

“…We applied the methods of structural, dynamic and factor, correlation and regression analysis. We calculated a set of regression equations describing the relationship between the obtained indicators of social, economic, financial development of the territory and the coefficients of migration growth, taking into account the territorial belonging of the regions, and allowing to conduct model experiments to predict the level of migration in individual regions and in the context of territorial macro-systems. …”
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Comparison of light gradient boosting and logistic regression for interactomic hub genes in Porphyromonas gingivalis and Fusobacterium nucleatum-induced periodontitis with Alzheime... by Pradeep Kumar Yadalam, Shubhangini Chatterjee, Prabhu Manickam Natarajan, Carlos M. Ardila, Carlos M. Ardila

“…This study compares the performance of light gradient boosting and logistic regression in identifying interactomic hub genes in P. gingivalis and F. nucleatum-induced periodontitis with those in Alzheimer's disease.MethodsUsing the GSE222136 dataset, we analyzed differential gene expression in periodontitis and Alzheimer's disease. …”
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Pedestrian gap acceptance behavior at unsignalized mid-block crossing under mixed traffic conditions by Satanan Piyalungka, Kunnawee Kanitpong, Ampol Karoonsoontawong

“…Multiple linear regression and binary logit regression models were developed to identify the factors affecting accepted gap size and gap acceptance behavior. …”
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Age as a risk factor for suicide by Kocić Sanja S., Milić Časlav T., Grbić Gordana G., Plašić Aleksandar H., Tatić Zoran V.

“…Committing suicide by hanging was the most frequent way of suicide among any age groups. Univariant regression analysis failed to show any impact of age on the analyzed factors. …”
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Comparison of the quality of logistic regression models and a classification tree in predicting hospital mortality in elderly patients with non-ST-elevation myocardial infarction by K. G. Pereverzeva, S. S. Yakushin, N. N. Peregudova, M. V. Mishutina

“…Based on the construction of a binary logistic regression, it was found that the factors increasing hospital mortality were cardiogenic shock (CS): odds ratio (OR) 47.55; 4.00-589.16; p=0.002; new-onset atrial fibrillation: OR 6.45; 1.39-30.42; p=0.018; and the number of points on the GRACE scale: for each increase by 1 point: OR 1.03; 1,00-1,05; p=0.046. …”
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Trends in burden and mortality of congenital birth defects in G20 countries (1990–2021) and predictions for 2022–2040 by Xiangwen Li, Pengfei Qu, Pu Yan, Yule Kou, Jian Song, Di Wu, Jiayi Wang, Siyu Pan, Yufei Liu, Xinrui Li, Rongqiang Zhang

“…Spearman correlation analysis with locally weighted regression, supplemented by 10,000 bootstrap iterations for robustness validation was used to examine the associations between the socio-demographic index (SDI), healthcare access and quality (HAQ) index, Summary exposure value (SEV) of risk factor exposure, and ASR. …”
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Socio-demographic characteristics associated with SF-6D v2 utility scores in patients undergoing dialysis in China: contributions of the quantile regression by Ye Zhang, Li Yang, Zeyuan Chen

“…Conclusion Quantile regression offers a valuable complement in analyzing factors associated with utility scores among Chinese dialysis patients. …”
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Prediction of Pile Bearing Capacity Using Opposition-Based Differential Flower Pollination-Optimized Least Squares Support Vector Regression (ODFP-LSSVR) by Nhat-Duc Hoang, Xuan-Linh Tran, Thanh-Canh Huynh

“…Least squares support vector regression (LSSVR) is used for analyzing a dataset containing historical records of pile tests. …”
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Prediction of in-hospital mortality in patients aged 75 years and older with acute ST-segment elevation myocardial infarction using logistic regression and classification tree by K. G. Pereverzeva, S. S. Yakushin

“…Inhospital mortality was 24,1%. Binary logistic regression revealed the following factors increasing the risk of inhospital mortality: cardiogenic shock (CS) — odds ratio (OR) 39,04; 95% confidence interval (CI): 8,87-171,74 (p<0,001); ventricular tachycardia (VT) — OR=60,52; 95% CI: 5,21-703,45 (p=0,001); white blood cell (WBC) count — for each increase by 1×109/l — OR=1,15; 95% CI: 1,05-1,26 (p=0,002). …”
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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

“…Sociodemographic index (SDI) data were utilized to evaluate the impact of socioeconomic factors on disease burden. The global incidence of pressure ulcers in individuals aged 60 and above increased from 1990 to 2021. …”
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Survival Outcomes in EGFR‐Mutant Non‐Small Cell Lung Cancer With Brain Metastases: Kaplan–Meier and Cox Regression Analyses Across Treatment Stages by Haoran Qi, Qiang Qiao, Xiaorong Sun, Ligang Xing

“…ABSTRACT Background Epidermal growth factor receptor tyrosine kinase inhibitors (EGFR‐TKIs) have shown significant efficacy in patients with brain metastases (BMs) from EGFR‐mutated non‐small cell lung cancer (NSCLC). …”
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Moderating effect of strategic factor on organizational performance by Kowo Solomon Akpoviroro, Sabitu Olalekan Owotutu, Popoola Mufutau Akanmu

“…Strategic factor plays an important role in determining firm’s performance even though it’s not clear whether firm size affect organizational performance. …”
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Spatio-temporal dynamics and drivers of cropland ecosystem services value during the past two decades in Yangtze river economic belt, China by Hanjun Xia, Pengbo Zhang, Qi Zhang, Baofa Peng, Chenxin Zhou, Qian Zhu, Songchao Chen, Bifeng Hu

“…Finally, structural equation modeling and multi-scale geographically weighted regression were employed to analyze the influence of physical and socio-economic factors on the Crop-ESV within the YREB.ResultsOur results showed that the Crop-ESV in the YREB exhibited an increasing trend over the past two decades, from 10,674 billion yuan in 2001 to 11,564 billion yuan in 2020, representing an average annual increase of 0.94 million yuan/ha (p-value < 0.05). …”
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DETERMINANTS OF RURAL HOUSEHOLDS’ ENERGY CONSUMPTION IN EGBEDA LOCAL GOVERNMENT AREA OF OYO STATE: A MULTINOMIAL APPROACH by Idumah F.O, Awe F.

“…The result of the multinomial logistic regression model showed age, marital status, educational status, household size, number of cooking per day as well as monthly income were among the factors that influenced respondents’ choice of energy type for cooking at 5% level of significance. …”
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Factors Predicting Fertility Rate in Indonesia by Yusni Maulida, H Harlen, Delfi Ranta Sari, Tehubijuluw Zacharias

“…Moreover, based on the long-term results of the data, it is suggested that in fertility control, these factors need to be included in developing nations.…”
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