The value of triglyceride–glucose index–related indices in evaluating migraine: perspectives from multi–centre cross–sectional studies and machine learning models by Zixuan Yan, Lincheng Duan, Hong Yin, Muchen Wang, Jingwen Li, Chenghua Li, Xiao Wang, Dingjun Cai, Fanrong Liang, Wenchuan Qi

“…Methods Cross–sectional data were acquired from the National Health and Nutrition Examination Survey conducted between 1999 and 2004, as well as from the China Longitudinal Study of Health and Retirement (CHARLS) performed from 2011 to 2012. Weighted logistic regression analysis, subgroup analysis, smooth curve fitting and threshold effect analysis were used to ascertain the intricate relationships among triglyceride glucose–body mass index (TyG–BMI), triglyceride glucose–waist circumference (TyG–WC), triglyceride glucose–waist height ratio (TyG–WHtR) and migraine. …”
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Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods by Bin Zhang, Shengsheng Huang, Chenxing Zhou, Jichong Zhu, Tianyou Chen, Sitan Feng, Chengqian Huang, Zequn Wang, Shaofeng Wu, Chong Liu, Xinli Zhan

“…The research aims to develop an ML-based nomogram model analyzing clinical and demographic factors to estimate hospital length of stay (LOS). …”
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High prevalence of low bone mineral density in middle-aged adults in Shanghai: a cross-sectional study by Qian Chen, Dan Liu, Xuefei Li, Fangfang Li, Suxia Guo, Shiyun Wang, Weina Yuan, Pinghua Chen, Pan Li, Fangyu Li, Changwei Zhao, Wen Min, Zhijun Hu

“…Mann-Whitney U and Chi-square test were used to compare sex, age and body mass index at different stages of bone mass, and Pearson test was used to conduct correlation analysis. Logistic regression was used to analyze the influencing factors. …”
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High expression of MRPL52 can be used as a prognostic marker of hepatocellular carcinoma and is related to immune infiltration by Nan HUANG, Xiang LIU, Qichang XING, Jia CHEN, Xiaolan GUO, Wei LI, Zheng LIU

“…Methods: Hepatocellular Carcinoma Database (HCCDB) and Tumor Immune Estimation Resource (TIMER) databases were used in analyzing the differential expression of MRPL52 in hepatocellular carcinoma tissue and normal paracancerous tissues; UALCAN database was used to analyze the correlation between levels of MRPL52 expression and levels of DNA methylation vs. clinical phenotypes, including tumor grade, tumor stage, and metastasis, Kaplan–Meier plotter database was used in analyzing the relationship between MRPL52 expression and hepatocellular carcinoma survival; LinkedOmics database was used in analyzing MRPL52 co-expression genes, target miRNAs and transcription factors; GENEMANIA database was used to construct the protein interaction network; DiseaseMeth database and MEXPRESS database were used to analyze the level of MRPL52 DNA methylation and changes in methylation sites, and TIMER database was used in analyzing the relationship between MRPL52 and immune infiltration of hepatocellular carcinoma. …”
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Surge Characteristics of Reservoir Bank Granular Landslide Based on Physical Model Experiments by Shanshan WANG, Jianzhao ZHANG, Dongpo WANG, Dongxu YANG, Weilin YUAN, Chaojun OUYANG

“…The relationship between the maximum height of the surge and various influencing factors was obtained using dimensionless methods and multiple linear regression analysis. …”
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Information management systems in the systematization of indicators for assessing the effectiveness of investment processes in the securities market by Yuliia Kovalenko, Tetyana Bilovus, Valentyna Unynets-Khodakivska, Sofiia Dombrovska, Anatolii Faizov, Viktoriia Baranova

“…The purpose of this study is to study the indicators for evaluating the effectiveness of the implementation of investment processes on the securities market, taking into account the scientific foundations of information management systems and analysis of indicators of financial efficiency of the investment function of the securities market in Ukraine.The relevance of this study is due to the growing importance of management information systems in all sectors of the Ukrainian economy, in particular, the provision of solutions to the problems of activating investment processes in the securities market of Ukraine by analyzing and reassessing the effectiveness of investment processes at this level, taking into account the scientific basis of management information systems. …”
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Advanced neural network modeling with Levenberg–Marquardt algorithm for optimizing tri-hybrid nanofluid dynamics in solar HVAC systems by A. Aziz, S.A.H. Shah, H.M.S. Bahaidarah, T. Zamir, T. Aziz

“…The model’s performance is evaluated using state transition (ST) index, error histogram (EH), mean squared error, and regression (R) analysis, demonstrating excellent agreement between predicted and reference solutions. …”
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How Does Herbicide Resistance Change Farmer’s Weed Management Decisions? Evidence from the Roundup Ready Experiment by Huichun Sun, Terrance Hurley, George B. Frisvold, Katherine Dentzman, David Ervin, Wesley Everman, Jeffrey Gunsolus, Jason Norsworthy, Micheal Owen

“…Yet, adoption of diverse tactics has remained low, while there has been explosive growth of resistant weeds. This study analyzes U.S.-farm-level data to identify factors affecting adoption of diverse weed management practices. …”
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A cross-sectional study on the relationship between dietary fiber and endometriosis risk based on NHANES 1999–2006 by Ya-Fang Zheng, Yu-Miao Guo, Chu-Jun Song, Gui-Chao Liu, Shi-Yi Chen, Xu-Guang Guo, Li-Hong Lin

“…Abstract Endometriosis is a chronic inflammatory disease and an estrogen-dependent disease, so dietary factors that can modulate estrogen activity may be clinically important. …”
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The relationship between sarcopenia and mental health status in Chinese older adults: the mediating role of activities of daily living by Huaiju Ge, Shilan Yang, Wenyu Su, Weimin Guan, Shihong Dong, Wenjing Chang, Huiyu Jia, Shan Jiang, Di Qin, Guifeng Ma

“…We conducted descriptive statistical analysis and correlation analysis on the data and used seemingly unrelated regression to examine the relationship between sarcopenia, depressive symptoms, and cognitive functions in older adults. …”
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A Composite Index for Distinguishing Benign and Malignant Obstructive Jaundice by Peng H, Li J, Zhou X, Nong Z, Zhang R, Lu P, Ye S, Lei L, Qin C, Li J

“…The cases were divided into two groups: malignant and benign obstructive jaundice group. Logistic regression analysis was used to build a prediction model for judging the nature of obstructive jaundice, and the prediction model was verified using the validation cohort.Results: Multivariate analysis revealed that CEA, TBIL, and NLR were independent factors in malignant obstructive jaundice. …”
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Nutritional status of schoolchildren living on a city in Brazilian Western Amazon: a cross-sectional study by Stephaney Aragão Soares, Amanda Forster Lopes, Regina Coeli da Silva Vieira, André Bento Chaves Santana, Kemilla Sarmento Rebelo

“…BMI for age served as the dependent variable, representing the evaluated outcome. After bivariate analysis, the variables that were associated with the outcome were selected for inclusion in a multivariable linear regression model. …”
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Influence of odontogenic lesions on root development in impacted teeth: a cohort study by Selene Barone, Alessandro Antonelli, Antonio Madonna, Vincenzo Greco, Massimo Borelli, Francesco Bennardo, Amerigo Giudice, Lucia Cevidanes

“…Fisher's exact text was applied to compare the prevalence of dilaceration in both groups. In order to analyze the influence of each additional variable on dilaceration, a multivariate analysis was performed through logistic regression.ResultsRoot dilaceration was significantly more common in Group IwL (72.73%) than in Group IwoL (18.18%) (p = 0.030). …”
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Association of Hematological and Biochemical Parameters with Clinical Profile of COVID-19 Patients in Visakhapatnam, India by Himavathy Kodandarao Gara, Dharma Rao Vanamali, Adhikarla Surya Veeramani Kartheek

“…Timely management of patients with dismal prognosis may improve their clinical outcome. The study aimed to analyze the hematological and biochemical parameters among COVID-19 patients and the factors associated with laboratory changes and COVID-19 infection. …”
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Investigating the Relationship Between Anxiety and Depression With Disease-related Lifestyle in Elderly Patients With Prostate Cancer by Reyhane Karegar-Niavol, Zahra Fotokian, Fatemeh Ghaffari, Ali Saravi, Farzan Kheirkhah

“…The statistical tests of analysis of variance, independent t-test, Pearson correlation coefficient, and multiple regression were used to analyze data in SPSS software, version 18 software. …”
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Association between school bullying type and the risk of eating disorders among Chinese college students: the mediating role of body dissatisfaction by Linlin Xie, Qingchen Da, Yichao Chen, Yueliang Chen, Feng Wu, Liping Li

“…Kruskal-Wallis rank sum test, logistic regression, chi-square test, and mediation analysis were used to analyze the results. …”
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ASSESSMENT OF THE EFFECTS OF CLIMATE CHANGE ON THE LIVELIHOODS AND ADAPTATION STRATEGIES OF RURAL WOMEN IN KWARA STATE, NIGERIA by O. J. Yusuf, L. K. Olatinwo, O. E. Aiyedun

“…This study investigated the effects of climate change on the livelihoods and adaptation strategies of rural women in Kwara State, Nigeria, analyzing data from 124 women farmers through a structured questionnaire and employing descriptive statistics and regression analysis. …”
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Data-driven causal behaviour modelling from trajectory data: A case for fare incentives in public transport by Yuanyuan Wu, Alex Markham, Leizhen Wang, Liam Solus, Zhenliang Ma

“…The method can also quantify the behavioural impacts of the incentive, identify key influencing factors, and estimate the corresponding causal effects. …”
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Association between the Fatty Liver Index, Metabolic Dysfunction-Associated Steatotic Liver Disease, and the Risk of Kidney Stones by Fan Zhang, Wenjian Li

“…We employed logistic regression models to analyze the association between FLI, MASLD, and kidney stone risk and constructed multivariable adjustment models to control for potential confounders. …”
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The Effect of Competence, Workload and Compensation on the Performance of Family Assistance Team (FAT) Cadres in Reducing the Risk of Stunting in the Buleleng District Area by I Putu Aprilia Pratama, Henry Sudiyanto, Eka Diah Kartiningrum, Sulis Diana

“…The results of data analysis were carried out using multiple linear regression. …”
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