Comparative analysis of body composition in youth elite football players: Insights from professional academies by Danail Ivanov

“…Optimal levels of muscle mass and body fat percentage are key factors that influence speed, endurance, strength and overall physical readiness. …”
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A Comparative Study Evaluated the Performance of Two-class Classification Algorithms in Machine Learning by Shilan Abdullah Hassan, Maha Sabah Saeed

“…By leveraging Azure Machine Learning's capabilities, researchers and healthcare professionals can analyze large datasets containing patient information and medical records to identify patterns and risk factors associated with heart attacks. …”
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The role of Chinese products demand and supply in reducing market cost and improving technological performance: Empirical evidence from South Africa, Nigeria, and Egypt by Oluwole Nurudeen Omonijo, Zhang Yunsheng

“…SPSS statistics software was used to analyze data using snowballing method to access the participants. …”
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Assessing knowledge on thalassemia for prevention and management practices among the tribal population of Sitteri Panchayat, Dharmapuri District, Tamil Nadu, India by J Kezia Angeline, H Gladius Jennifer, Bala Ganesh Pichamuthu

“…Methods: Data were collected using a structured knowledge assessment schedule, analyzing demographic factors’ association with thalassemia knowledge scores. …”
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Assessing the Determinants of Energy Poverty in Jordan Based on a Novel Composite Index by Mohammad M. Jaber, Ana Stojilovska, Hyerim Yoon

“…Drawing on data from 19,475 households, we apply a novel energy poverty index and binary logistic regression to analyze key determinants of energy poverty and discuss their intersection with climate vulnerability. …”
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Perceptions of healthcare finance and system quality among Nigerian healthcare workers. by Blessing Osagumwendia Josiah, Emmanuel Chukwunwike Enebeli, Brontie Albertha Duncan, Lordsfavour Uzoma Anukam, Oluwadamilare Akingbade, France Ncube, Chinelo Cleopatra Josiah, Eric Kelechi Alimele, Ndidi Louis Otoboyor, Oghosa Gabriel Josiah, Jemima Ufuoma Mukoro, Blessing Chiamaka Nganwuchu, Fawole Israel Opeyemi, Timothy Wale Olaosebikan, Marios Kantaris

“…Descriptive statistics, Chi-squared test, and regression analysis were used to analyze the data. The findings revealed that healthcare workers were generally not satisfied with the current state of healthcare financing and system quality in Nigeria. …”
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Novel serum biomarker for powerfully predicting pediatric simple febrile seizures by Jinzhi Mei, Chuanze Hu, Fang Sheng, Zhiyu Wang, Wangxiong Hu

“…Univariate logistic regression was used to identify the predictive ability of risk factors for SFS.ResultsThe SFS group exhibited significantly lower levels of IL-17 (SFS: 5 vs. …”
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COMPARATIVE STUDY OF SURVIVAL SUPPORT VECTOR MACHINE AND RANDOM SURVIVAL FOREST IN SURVIVAL DATA by Ni Gusti Ayu Putu Puteri Suantari, Anwar Fitrianto, Bagus Sartono

“…Survival analysis is a statistical procedure in analyzing data with the response variable is time until an event occurs (time-to-event). …”
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Spatiotemporal Evolution of Population in Northeast China during 2012–2017: A Nighttime Light Approach by Haolin You, Cui Jin, Wei Sun

“…Previous studies have used nighttime light (NTL) imagery to calculate population density. This study analyzes the spatiotemporal evolution of the population in Northeast China based on linear regression analyses of NPP-VIIRS NTL imagery and statistical population data from 36 cities in Northeast China from 2012 to 2017. …”
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Intrapersonal day-to-day travel variability and duration of household travel surveys: Moving beyond the one-day convention by Wei Li, Douglas Houston, Marlon G. Boarnet, Han Park

“…Our analytical methods included linear regressions and random sampling experiments. Our Feasible Generalized Least Squares (FGLS) regression models revealed that many factors significantly influenced IDTV, such as gender, age, income, and household type. …”
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Analisis Visual dan Machine Learning untuk Mengukur Validitas Dokumen Akademik Perpustakaan: Studi pada Data Turnitin by Hesti Ari Wardani, Imam Yuadi

“…Additionally, a logistic regression algorithm is applied to classify documents based on Turnitin scores. …”
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Effect of E-Health Use on Cancer Screening Mediated Through Cancer Worry and Fatalism: A Cross-Sectional Study of Older Adults by Yu Zheng PhD, Jiazheng Zayn Wang PhD, Yingxia Zhu PhD, Xinshu Zhao PhD

“…The Health Belief Model indicates an association between individual behaviors, intentions, and other psychological factors. Understanding the psychological mechanisms that mediate the effect of E-health use (EHU) on cancer screening intention is crucial for cancer prevention and treatment among older adults. …”
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Integrated bioinformatics, machine learning, and molecular docking reveal crosstalk genes and potential drugs between periodontitis and systemic lupus erythematosus by Junjie Wang, Qingao Deng, Lu Qi

“…We employed multi-omics methodologies, encompassing differential expression analysis, weighted gene co-expression network analysis (WGCNA), functional enrichment (GO/KEGG), LASSO regression, diagnostic model construction, protein-protein interaction (PPI) networks, immune infiltration profiling, computational drug prediction, molecular docking, and disease subtyping, to analyze PD and SLE expression datasets from the Gene Expression Omnibus (GEO) database (GSE10334, GSE16134, GSE50772, and GSE81622). …”
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Assessing Seasonal Variations of Vegetation Cover Using NDVI in Context Climate Change in Wasit by Mohanad I. Khalbas, Jasim H. Kadhum

“…This study assesses and analyzes the annual and seasonal changes in the Normalized Difference Vegetation Index (NDVI) in Wasit Province, Iraq, between 2020 and 2023. …”
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EFFECT OF CONOIL PLC’S LIQUIDITY ON ITS PROFITABILITY: EVIDENCE FROM NIGERIA by Oyetola Bukunmi Oyelakun, Oluseyanu Olamide Olayemi, Elizabeth Adeola Julius, Abdul-lateef Ayomide Ibrahim

“…The objective of this research is to analyze the impact of liquidity on the profitability of Conoil Plc, Nigeria. …”
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Teledentistry actions in Primary Healthcare during the COVID-19 pandemic: cross-sectional study, Brazil, 2021 by Mariane Baltassare Laroque, Thais Freitas Formozo Tillmann, Bruna Vettorazzi Liskoski, Alexandre Emidio Ribeiro Silva

“…Abstract Objective To analyze the use of teledentistry in Primary Healthcare in Brazil at the end of the second year of the COVID-19 pandemic. …”
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Dietary patterns of adults in Italy: Results from the third Italian National Food Consumption Survey, INRAN-SCAI. by Nicolò Scarsi, Roberta Pastorino, Cosimo Savoia, Gian Marco Raspolini, Angelo Maria Pezzullo, Stefania Boccia

“…Diet is among the most significant modifiable risk factors for reducing the global burden of chronic diseases. …”
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Association between the dietary index for gut microbiota and constipation in American adults by Chunyan Song, Zhulin Zhang, Shanxiang Zhu, Huacheng Tong

“…Multivariate weighted logistic regression, adjusted for confounders, was performed to analyze the association between DI-GM scores and constipation prevalence.Further analyses included a subgroup analysis and restricted cubic splines to explore this association [restricted cubic spline(RCS)].An increased DI-GM index, indicating a healthier gut microbiome, was related to a decreased risk of constipation.A similar association was observed with a more favorable score for beneficial gut microbiota.Non-linear associations between DI-GM scores and constipation were identified through RCS analysis.Subgroup and interaction analyses confirmed the consistency of these findings across strata, suggesting no significant heterogeneity.These findings suggest that dietary adjustments may be an important method for preventing constipation.…”
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Malt barley grain market participation and level of participation by smallholder farmers in Central Ethiopia: a Heckman two-stage model approach by Dejene Mamo Workie, Workalemahu Tasew, Beneberu Teferra

“…Descriptive statistics and Heckman two-stage model were used to analyze the data. Results The result of the probit model revealed that malt barley producer farmers' decision to participate in the malt barley grain market was determined by age and formal education level, malt barley farming experience, amount of malt barley grain produced, total livestock holding, distance from local cooperative and nearest market and household access to enough stable food; whereas, the ordinary least squares regression results indicated that malt barley producer farmers' level of participation in the malt barley grain market was determined by the formal education level of the household head, total livestock holding, and distance from the local cooperative. …”
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Integrating Inverse Data Envelopment Analysis and Machine Learning for Enhanced Road Transport Safety in Iran by Seyyed Mojtaba Tabatabai, Fatemeh Al-Sadat Tabatabai

“…The results reveal the relative importance of different parameters on the weighted index, with the Ratio of curvature, Length of the segment, and Condition of the pavement identified as the most influential factors. These findings highlight the significance of road curvature, segment length, and pavement condition in determining accident severity. …”
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