Prothrombin time predicting time-dependent and risk-stratified mortality in polytrauma patients by Philipp Vetter, Cédric Niggli, Jan Hambrecht, Daniel Haschtmann, Hans-Christoph Pape, Ladislav Mica

“…Prothrombin time (PT) is a prognostic factor for mortality in polytrauma patients. The aim was to analyze the time- and severity-dependent role of PT in polytrauma patients related to mortality. …”
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Characterization of Cuproptosis-Related LncRNAs Prognostic Signature and Identification of LINC02285 as a Novel Biomarker for Ovarian Cancer by Lei H, Zhou Z, Liu C, Chen W, Li Y, Shu G, Wang M, Guo K, Pan Q, Yin G

“…Furthermore, tumor immune microenvironment and drug sensitivity were analyzed using ssGSEA, GSVA, ESTIMATE, and CIBERSORT algorithms. …”
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The World Health Organization Fetal Growth Charts: A Multinational Longitudinal Study of Ultrasound Biometric Measurements and Estimated Fetal Weight. by Torvid Kiserud, Gilda Piaggio, Guillermo Carroli, Mariana Widmer, José Carvalho, Lisa Neerup Jensen, Daniel Giordano, José Guilherme Cecatti, Hany Abdel Aleem, Sameera A Talegawkar, Alexandra Benachi, Anke Diemert, Antoinette Tshefu Kitoto, Jadsada Thinkhamrop, Pisake Lumbiganon, Ann Tabor, Alka Kriplani, Rogelio Gonzalez Perez, Kurt Hecher, Mark A Hanson, A Metin Gülmezoglu, Lawrence D Platt

“…A total of 7,924 sets of ultrasound measurements were analyzed by quantile regression to establish longitudinal reference intervals for fetal head circumference, biparietal diameter, humerus length, abdominal circumference, femur length and its ratio with head circumference and with biparietal diameter, and EFW. …”
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Effects of Multimedia-based Puberty Health Education on Knowledge, Practice, Self-esteem and Emotion Regulation of Adolescent Girls by Fatemeh Heidari, Fatemeh Mirbagri, Maryam Moridi

“…The collected data were analyzed using independent t-test, chi-square, Fisher’s exact test, repeated measures ANOVA and logistic regression analysis. …”
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Independent and combined relationships between light at night, air pollutants, PM2.5 components and risk of cardiovascular-kidney-metabolic syndrome: a cohort study by Ziyue Liang, Siyu Qing, Yifang Liang, Renfang Zhang, Mengyao Sun, Ziyu Ren, Chunejie Xu, Fei Lin, Yongbin Wang

“…Methods Data from 4,361 participants aged ≥ 45 years in the China Health and Retirement Longitudinal Study (CHARLS, 2011–2015) were analyzed. Cox proportional hazards regression models were employed to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for CKM syndrome risk. …”
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Association between cumulative uric acid exposure and metabolic dysfunction-associated fatty liver disease by Yunpeng Li, Hong Ji, Fei Tian, Xinyu Ge, Liying Cao, Xiangming Ma

“…Conclusion This study found that cum UA is an independent risk factor for MAFLD. In this longitudinal cohort analysis, both the cumulative incidence and the risk of developing MAFLD increased as the cum UA level rose. …”
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Derivation of Soil Moisture using Modified Dubois Model with field assisted surface roughness on RISAT-1 data by Thanabalan Palanisamy, Vidhya R

“…IRS LISS IV data have been used to analyze the site suitability of different land use/cover types. …”
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Choosing efficient production diversification in digitalization conditions by D. V. Abramov

“…Conclusion. The fundamental factor of the organization development has been identified – sustainability, consisting of separate components representing a common understanding of the possibility.…”
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Machine Learning Approaches for Predicting Employee Turnover: A Systematic Review by Hojat Talebi, Amid Khatibi Bardsiri, Vahid Khatibi Bardsiri

“…This paper presents a systematic review of 58 studies focused on applying machine learning (ML) algorithms to predict employee turnover. We analyze various ML techniques, including Random Forest, Support Vector Machine, Logistic Regression, Decision Tree, and Neural Networks, highlighting their effectiveness in predicting turnover based on employee data. …”
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How Financial Distress, Audit Committee, and CGI Shape Earnings Management through Stock Liquidity by Mardianto Mardianto, Novita Novita

“…The goal of this research is to explore ways to reduce earnings management practices by analyzing how these factors influence managerial behavior. …”
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DETERMINANTS OF HUMAN RESOURCE MANAGEMENT (HRM) ADOPTION AMONG SMALL AND MEDIUM SCALE ENTERPRISES (SMEs) IN KADUNA STATE, NIGERIA by Helen Afang Andow

“…The study adopted survey research design and data was gathered from purposively selected 100 SMEs respondents through copies of structured questionnaires in selected local government areas of the state. Multiple Regression Analysis was used to analyze the data obtained. …”
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Determinants of engagement of rural women in non-farm economic activities in rural Ethiopia by Fasika Chekol

“…Both descriptive and inferential statistics were employed to analyze the data. The result indicates that about 59% of the respondents are non-participants in RNFEA due to the negative cultural (95%) and social (90) factors: lack of transport and market infrastructure (59%), lack of experience and skill (43%) and a combination of all (26%). …”
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Early Prediction Detection of Retail and Corporate Credit Risks Using Machine Learning Algorithms by Mohamed A. Hamada, Karim Farag, Adejor E. Abiche

“…The findings showed that the Random Forest and Kernel SVM can be used to improve the prediction of corporate and retail credit risk by utilizing bank-specific factors like profitability, liquidity, income diversification, capital, asset size, and operating efficiency, as well as macroeconomic factors like external debt, inflation, exchange rate, GDP, interest rate, and foreign direct investment.   …”
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Inspection Data-Driven Machine Learning Models for Predicting the Remaining Service Life of Deteriorating Bridge Decks by Gitae Roh, Changsu Shim, Hyunhye Song

“…In a bid to address this lack, this study focuses on PSC-I type bridges in South Korea, utilizing long-term field inspection data to analyze environmental, structural, and material factors—including reinforcement corrosion, chloride diffusion, and freeze–thaw actions. …”
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Establishment of a nomogram model for predicting the risk of diabetic nephropathy in diabetic patients by HOU Xin-yue, HU Song, FEI Chun-xiao, LIU Shu-hao, SHAO Li-yan, XING Ang

“…Statistically significant variables were included in multivariate logistic regression model to analyze DN risk factors. R-software was used to construct a nomogram model for predicting DN risk. …”
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Association between physical activity across diversed domains and sedentary behavior with sleep disorders by Jipeng Zhang, Hongfei Mo, Junkai Feng, Zhipeng Jiao, Wenjun Yang, Zhengwei Xue, Rui Feng

“…The associations of each type of physical activity and sleep disorders were analyzed through binary Logistic regressions. There were significant differences in work physical activity (P = 0.043), sedentary behavior (P < 0.001) and recreational physical activity (P = 0.001) among sleep disorders, the difference in transportation physical activity was nearly significant (P = 0.055). …”
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Bladder cancer in Saudi Arabia: a registry-based nationwide descriptive epidemiological and survival analysis by Mohammad Ali Alghafees, Meshari A. Alqahtani, Ziyad F. Musalli, Ahmed Alasker

“…OBJECTIVE: Describe the epidemiology and analyze factors associated with survival in patients with BC in Saudi Arabia. …”
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Worldwide Incidence and Mortality of Bladder Cancer and Human Development Index: An Ecological Study by Elham Goodarzi, Malihe Sohrabivafa, Ali Hasanpour Dehkordi, Zaher Khazaei

“…The incidence and mortality rates and BC distribution maps were drawn for world countries. To analyze data, correlation test and regression tests were used to evaluate the correlation between the incidence and mortality with the Human Development Index (HDI). …”
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Analysis of hydroxocobalamin dosage in patients with CblC deficiency by Si Ding, Yuxin Deng, Yi Ding, Lili Hao, Wenjuan Qiu, Huiwen Zhang, Lili Liang, Ting Chen, Xia Zhan, Peng Xu, Chiju Yang, Hui Zou, Yongxing Chen, Shengnan Wu, Yufeng Wang, Min Yang, Xuefan Gu, Xianting Jiao, Lianshu Han

“…Hydroxocobalamin (OHCbl) is the main important therapeutic approach, while no approved protocols on its dosage during stable periods exist. This study aims to analyze OHCbl dosage and explore its influencing factors, providing reference for the option of OHCbl dosage. …”
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No sex differences in the association between regional brain structure abnormalities and cognitive functioning in a geriatric memory clinic population by A. Lamé, E.G. Thomas, S.A.J. van de Schraaf, C. Groot, C.H. Sudre, F. Barkhof, M. Muller, R. Ossenkoppele, H.F.M. Rhodius-Meester

“…Therefore, we explored sex differences in brain structure abnormalities and in the association between brain structure abnormalities and cognitive functioning. We analyzed global and regional volumetric measures of WMH and GM of 475 patients visiting an academic geriatric memory clinic in the Netherlands with multiple linear regression analyses. …”
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