The Impact of Kefir Consumption on Inflammation, Oxidative Stress Status, and Metabolic-Syndrome-Related Parameters in Animal Models: A Systematic Review and Meta-Analysis by Zahid Naeem Qaisrani, Wai Phyo Lin, Bo Bo Lay, Khin Yadanar Phyo, Myat Mon San, Nurulhusna Awaeloh, Sasithon Aunsorn, Rinrada Pattanayaiying, Susakul Palakawong Na Ayudthaya, Choosit Hongkulsup, Nirunya Buntin, Sasitorn Chusri

“…Nevertheless, preclinical results have been variable. This systematic review and meta-analysis aimed to assess the influence of kefir and its derived compositions on parameters associated with MetS, inflammation, and oxidative stress in rodent studies. …”
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Response Surface Methodology Optimization of Wear Rate Parameters in Metallic Alloys by Blessing Ngozi Goodluck Aliemeke, Lucky Charles, Peace Omoregie, Abdulrazak Momodu, Christopher Jerry, Emmanuel Akpan

“…A mathematical model was developed, revealing a significant p-value of 0.043 in the ANOVA table, indicating the collective influence of the independent variables on wear rate at a significance level of 0.05. …”
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Nutrient Balance of Citrus Across the Mandarin Belts of India by Anoop Kumar Srivastava, Ambadas Dattatray Huchche, Leon-Etienne Parent, Suresh Kumar Malhotra, Vasileios Ziogas, Lohit Kumar Baishya

“…Our objective was to elaborate compositional nutrient diagnosis (CND) log-ratio standards accounting for nutrient interactions and the dilution the leaf tissue. …”
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Evaluation of prognostic models to improve prediction of metastasis in patients following potentially curative treatment for primary colorectal cancer: the PROSPECT trial by Vicky Goh, Susan Mallett, Manuel Rodriguez-Justo, Victor Boulter, Rob Glynne-Jones, Saif Khan, Sarah Lessels, Dominic Patel, Davide Prezzi, Stuart Taylor, Steve Halligan

“…For our primary outcome, perfusion CT variables were added to the standard model as a composite (principal components) score. …”
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Comparison between response surface methodology and Taguchi method for dyeing process parameters optimization in fabric manufacturing by empirical planning by D. Nikhila Sri, Rajyalakshmi Kottapalli, A. Pavani, Charankumar Ganteda, E. Gouthami, Assmaa Abd-Elmonem, Samah Abdelati Haroun, Syed M. Hussain, Mustafa Bayram, Abdulrazak H. Almaliki

“…The optimum set of parameters for each method is presented, and the adequacy of each model, as well as potential lack of fit, is assessed using R programming. …”
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Optimized gallium extraction from Bayer liquor using ion exchange: Experimental modeling in batch mode and demonstration in continuous columns by Hesamoddin Gorzin, Mohadeseh Babaei Layaei, Mojtaba Dehghani, Mehrdad Mahmoudi, Salman Movahedirad

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Methods of evaluation the quality of teaching in higher education institutions by Irina V. Barannikova, Elena N. Shaforostova

“…The method of quality assessment and the results of the study, based on the proposed pyramid model of quality assessment with the details of the components, included in its composition, and the designation of their values for evaluation are considered in the paper. …”
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Machine learning-based construction of a programmed cell death-related model reveals prognosis and immune infiltration in pancreatic adenocarcinoma patients by Bing Wang, Zhida Long, Xun Zou, Zhengang Sun, Yuanchu Xiao

“…Using a comprehensive machine learning framework involving 117 algorithmic combinations under a Leave-one-out cross-validation (LOOCV) strategy, we identified the StepCox[both] + Ridge as the best algorithms composition to construct a prognostic model based on six PCDRGs, ITGA3, CDCP1, IL1RAP, CLU, PBK, and PLAU. …”
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A hybrid fuzzy logic–Random Forest model to predict psychiatric treatment order outcomes: an interpretable tool for legal decision support by Alexandre Hudon, Alexandre Hudon, Alexandre Hudon, Alexandre Hudon

“…Feature importance was also computed to assess the influence of each variable on the prediction outcome.ResultsThe hybrid model achieved an accuracy of 98.1%, precision of 93.3%, recall of 100%, and a F1 score of 96.6. …”
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Soil Organic Matter (SOM) Mapping in Subtropical Coastal Mountainous Areas Using Multi-Temporal Remote Sensing and the FOI-XGB Model by Hao Zhang, Xiaomei Li, Jinming Sha, Jiangning Ouyang, Zhipeng Fan

“…These features, along with topographic covariates, were processed using an improved Feature-Optimized and Interpretable XGBoost (FOI-XGB) model for key variable selection and spatial mapping. …”
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Bioelectrical impedance analysis of bone mineral content based on dual-energy X-ray absorptiometry: evaluation of age-stratified optimized models by YoungJin Moon, Zheng Dong, Sang Ki Lee, Hwi-yeol Yun, JuWon Song, Min Ju Shin, DuBin Im, JiaHao Xu, XuanRu Wang

“…A total of 302 healthy Korean participants (148 men and 154 women; mean ages 24.87 ± 12.43 and 34.98 ± 22.24 years, respectively) underwent body composition measurements via BIA and DXA. Basic variables such as age, height, and weight, along with a range of BIA parameters, were utilized to refine predictive models for BMC. …”
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Modeling Whole-Plant Carbon Stock in <i>Olea europaea</i> L. Plantations Using Logarithmic Nonlinear Seemingly Unrelated Regression by Yungang He, Weili Kou, Ning Lu, Yi Yang, Chunqin Duan, Ziyi Yang, Yongjun Song, Jiayue Gao, Weiyu Zhuang

“…Secondly, in the CS compatibility model system, the total CS model of <i>Olea europaea</i> L. was constructed by the Logarithmic Nonlinear Seemingly Unrelated Regression (LNSUR) method with <i>D</i> and <i>D</i>²<i>H</i> as independent variables. …”
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Exploring the connection between maternal mental health and partnership, parental role, and satisfaction with various aspects of life using pairfam data: a cross-sectional analysis by Monique Förster, Claudia Kirsch, Julia Habermann, Dorothee Noeres

“…Multiple linear regression analysis was conducted, with the mental health composite scale of the Short Form 12 (Version 2.0) Health Survey as the dependent variable, and the previously mentioned variables as independent variables. …”
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Assessing the Success of Ferula assa-foetida L. Plantation Restoration Operations in Semi-Steppe Rangelands by Linking Plant Functional Traits to Species Diversity by Esfandiar Jahantab, Azam Khosravi Mashizi, Mohsen Sharafatmandrad

“…Structured equation modeling allowed for the study of important individual species in vegetation composition with Assafoetida's mediating role. …”
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Association between Advanced Lung Cancer Inflammation Index and 30-day mortality in patients with spontaneous intracerebral hemorrhage: a retrospective cohort study by Jianzhong Ding, Jianzhong Ding, Jiquan Zhang, Wanqiu Lv, Yangchun Xiao, Fang Fang, Wenchao Ma, Yu Zhang, Xiaoli Zhong

“…ROC curve analysis demonstrated that ALI outperformed individual biomarkers (BMI, albumin, and NLR) in predicting mortality, with an AUC of 0.681, which further improved to 0.811 when ALI was integrated into the ICH prediction model.ConclusionALI is a reliable composite biomarker, with higher ALI scores being significantly associated with reduced 30-day mortality in patients with ICH.…”
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Multi-trait phenotypic modeling through factor analysis and bayesian network learning to develop latent reproductive, body conformational, and carcass-associated traits in admixed... by Muhammad Anas, Bin Zhao, Bin Zhao, Haipeng Yu, Carl R. Dahlen, Kendall C. Swanson, Kris A. Ringwall, Lauren L. Hulsman Hanna

“…Using exploratory and confirmatory FA, Body Size (BS) and Body Composition (BC) were identified as UBT for Model 1, explaining 14 phenotypic traits (t = 14). …”
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Physical and biogeochemical drivers of multi-year isoscape in the California upwelling system by Natasha L. Vokhshoori, Genevieve Pugsley, Jerome Fiechter, Matthew D. McCarthy

“…Here, we coupled a modern multi-year (2010–2019) δ13C and δ15N isoscape record from intertidal mussels (Mytilus californianus) with high-resolution ocean model output and satellite chlorophyll-a observations in the California Current System (32°–43° N) to identify major drivers of isotopic variability. …”
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Quantitative modeling of mortality patterns in dogs exposed to alpha particle emitting radionuclides: Insights from competing risks and causal inference machine learning. by Eric Wang, Igor Shuryak, David J Brenner

“…Using a Causal Forest model, which is designed to detect causal relationships rather than just associations, we investigated the causal impact of radioactivity on dog mortality, accounting for other variables. …”
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Identification and optimization of relevant factors for chronic kidney disease in abdominal obesity patients by machine learning methods: insights from NHANES 2005–2018 by Xiangling Deng, Lifei Ma, Pin Li, Mengyang He, Ruyue Jin, Yuandong Tao, Hualin Cao, Hengyu Gao, Wenquan Zhou, Kuan Lu, Xiaoye Chen, Wenchao Li, Huixia Zhou

“…To explore the associations between these variables and CKD, the present study used a multivariable-adjusted least absolute shrinkage and selection operator (LASSO) regression model, along with a restricted cubic spline (RCS) model. …”
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Nutrient Content Prediction and Geographical Origin Identification of Bananas by Combining Hyperspectral Imaging with Chemometrics by Honghui Xiao, Chunlin Li, Mingyue Wang, Zhibo Huan, Hanyi Mei, Jing Nie, Karyne M. Rogers, Zhen Wu, Yuwei Yuan

“…Partial least squares (PLS) models achieved R²_p values of 0.8012 and 0.8606 for SSC and K content, respectively. …”
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