Using machine learning and single nucleotide polymorphisms for improving rheumatoid arthritis risk Prediction in postmenopausal women. by Yingke Xu, Qing Wu

“…Genetic factors contribute to 60-70% of the variability in rheumatoid arthritis (RA). However, few studies have used genetic variants to predict RA risk. …”
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Evaluating an Artificial Intelligence (AI) Model Designed for Education to Identify Its Accuracy: Establishing the Need for Continuous AI Model Updates by Navdeep Verma, Seyum Getenet, Christopher Dann, Thanveer Shaik

“…Bland–Altman analysis showed moderate variability with substantial differences in results, and both Pearson and Spearman correlations revealed weak relationships, with values close to zero. …”
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Sanatorium rehabilitation effects on vegetative test dynamics in myocardial infarction patients by A. N. Sumin, V. L. Beresneva, T. N. Enina, N. N. Verkhoshapova, E. A. Kabova, V. I. Valeeva, N. V. Shanaurina

“…Aim. To study dynamics of vegetative reflex tests (VRT) during sanatorium rehabilitation in patients with noncomplicated myocardial infarction (MI).Material and methods. …”
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Voltage unbalance assessment in a distribution system incorporated with renewable‐based sources and electric vehicles in an uncertain environment by Nandini K. K., Jayalakshmi N. Sabhahit, Vinay Kumar Jadoun

“…The modified WOA outperforms the other optimization method and the existing literature in minimizing the % VUF and VRP index in case 2 operation, with values of 1.7 and 8.89 respectively. Case 3 also achieves low objective function values, but the VUF and VRP index are 11.76% and 9.67% higher than case 2 by modified WOA. …”
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MBHGA: A Matrix-Based Hybrid Genetic Algorithm for Solving an Agent-Based Model of Controlled Trade Interactions by Andranik S. Akopov

“…The results showed that trade restrictions have a negative impact on the utility function values in both single- and multi-objective optimization, for selected countries and for all countries’ firms. …”
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Anthropometric and physical indicators among Jordanian female soccer according to playing position by Ghazi El-kalana, Sofia Akroush, Salem Al-qarra, Osama Abdel Fattah, Mousa Ahmad

“…Objective: This study aimed to explore the anthropometric and physical measurement values among Jordanian female soccer players and to identify differences in these values according to playing position. …”
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A Morphometric and Multivariate Analysis Approach to Prioritization of Sub-Watershed: A case study on Muzaffarpur District of Bihar, India by Saket Raj, Kishan Singh Rawat

“…Aim of the study: The goal of the present study, which was undertaken as a research, was to Prioritization of Sub-Watershed using Morphometric and Multivariate Analysis. …”
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Design and Validation of the Scientific-Research Skills Questionnaire for Basic Education Teachers by Gilber Chura-Quispe, Bianca Daisa Laura-De-La-Cruz, Patricia Rosa María Nué Caballero, Edith Cristina Salamanca Chura, Héctor Octavio Guido Torres Orihuela

“… One teacher skill that has allowed for progress and development in pedagogy is that of scientific research, but there is very little attention to its measurement in basic education. The aim of the study was to design and validate a questionnaire of teachers' scientific-research skills and to compare them according to socio-demographic variables. …”
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Assessment of Multi-Depth Water Quality Dynamics in an Artificial Lake: A Case Study of the Ribnica Reservoir in Serbia by Dragana Milijašević Joksimović, Dejana Jakovljević, Dejan Doljak

“…In contrast, the CWQI revealed specific risks, notably elevated concentrations of aluminum, mercury, and chromium, and reduced dissolved oxygen levels, with overall CWQI values ranging from poor (40) to good (88) depending on depth and parameter variability. …”
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A systematic review and meta-analysis study to evaluate the accuracy of various PCR methods for diagnosing brucellosis in animals and humans by Muhammad Shakeel Khaliq, Muhammad Hassan Mushtaq, Abdul Rehman

“…In this meta-analysis, PCR demonstrates strong diagnostic accuracy for brucellosis, with high PPV and PDLR values confirming its reliability, though variability in the values highlights the need for standardized protocols to ensure consistent clinical application in both human and veterinary health settings. …”
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Discovering Insightful Rules among Truck Crash Characteristics using Apriori Algorithm by Jungyeol Hong, Reuben Tamakloe, Dongjoo Park

“…This study aims to discover hidden patterns and potential relationships in risk factors in freight truck crash data. …”
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Estimating individual tree DBH and biomass of durable Eucalyptus using UAV LiDAR by Ning Ye, Euan Mason, Cong Xu, Justin Morgenroth

“…SHapley Additive exPlanations (SHAP) analysis was employed to explain model predictions and evaluate input variables. Results showed that among the ML models, XGBoost and PLSR demonstrated superior performance, with the former yielding the highest R2 values for AGB (0.903) and the latter getting the highest R2 values for DBH (0.829). …”
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More than movement: a systematic review of moral and social development in adolescents physical education by Magdalena Jadwiszczak, Sara Wawrzyniak, Krzysztof Pezdek

“…Programs appeared to be designed that align with prevailing cultural values and traditions, which may enhance their perceived relevance and acceptance. …”
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Comparison of the Three-Dimensional Mechanical Power of Dominant Lower Limb Joints during Walking by Razieh Yousefian Molla, Heydar Sadeghi

“…One-way analysis of variance (ANOVA) and Bonferroni's post hoc test were used to compare the values of mechanical muscle power variables at a significance level of P≤0.05. …”
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Predicting 3-year all-cause mortality in rectal cancer patients based on body composition and machine learning by Xiangyong Li, Zeyang Zhou, Xiaoyang Zhang, Xinmeng Cheng, Chungen Xing, Yong Wu

“…In the validation cohort, the AUROCs ranged from 0.727 to 0.911, with the XGBoost model demonstrating the best predictive performance: AUROC = 0.911. SHAP values revealed that subcutaneous adipose tissue index (SAI), visceral adipose tissue index (VAI), skeletal muscle density (SMD), visceral-to-subcutaneous adipose tissue ratio (VSR), and subcutaneous adipose tissue density (SAD) were the five most important variables influencing all-cause mortality post-LaTME.ConclusionBy integrating body composition, multiple ML predictive models were developed and validated for predicting all-cause mortality after rectal cancer surgery, with the XGBoost model exhibiting the best performance.…”
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Business Control System on Performance of Small and Medium Scale Enterprises (SMEs) in Ilorin Metropolis, Kwara State Nigeria by Yinusa Olawale, Ebenezer Balogun

“…It was suggested, among other things, that SME owners use cultural control in their enterprises to guarantee that their employees share the same perspective and focus, norms, and values as the organization's aims, since this contributes to the sustainability of SMEs. …”
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Comparative Analysis of Erythrocyte, Leukocyte, and Platelet Indices through Examinations using Sysmex XN-3000 and Yumizen H2500 in Clinical Practice by Yuniar Putri Wardani, Yulia Nadar Indrasari, Putu Niken Ayu Amrita, Muhamad Robi'ul Fuadi

“…The Bland-Altman plotting was employed to assess the differences between variables, with a minimum of five agreed-upon outliers. …”
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Subtraction fractional flow reserve with computed tomography and pericoronary fat attenuation index enhances the identification of revascularization needs in patients by Tingting Zhu, Yanhui Li, Yujin Wang, Hanxiong Guan, Qian Li, Defu Li

“…Patients who underwent revascularization had higher pericoronary FAI and lower FFR-CT values. Subtraction FFR-CT values were higher than those obtained using conventional methods. …”
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Designing an explainable bio-inspired model for suspended sediment load estimation: eXtreme Gradient Boosting coupled with Marine Predators Algorithm by Roozbeh Moazenzadeh, Okan Mert Katipoğlu, Ahmadreza Shateri, Hamid Nasiri, Mohammed Abdallah

“…To this end, streamflow (Q) and sediment concentration (SC) values as well as their lag times (1 to 3 month lag times) were fed as input variables – under 9 scenarios – into ML models. …”
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Development and validation of a clinical prognosis prediction model for malignant intestinal obstruction: A retrospective cohort study by Hao Duan, Ran Tao, Jun Qin

“…Predictor variables were screened using the Least Absolute Shrinkage and Selection Operator (LASSO) and multivariate Cox regression, and then a Cox model was constructed. …”
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