Relación de la fuerza, potencia y composición corporal con el rendimiento deportivo en nadadores jóvenes de la Región Metropolitana de Chile (Relationship of strength, power, and... by Carlos Véliz Véliz, Fernando Maureira Cid, Marcela Jaurés Rodríguez

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The impact of internet use on the health status of the older adults in China: a chain mediating model of social interaction and physical exercise by Jiangwei Hu, Haoxian Mai, Chunyun Tan, Yingying Du

“…The dependent variable was health status, measured by a composite score of self-assessed health, physical health, and mental health. …”
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Association between continuous device-based physical activity monitoring over six months and cardiorespiratory, metabolic and body composition outcomes in post-surgery cancer survi... by Christian Leps, Christian Bischoff, Ines Gockel, Uwe Tegtbur, Stefan Kwast, Christoph Pökel, Johannes Voß, Hans-Jürgen Rinser, Roberto Falz, Martin Busse

“…Dependent variables included cardiorespiratory outcomes, body composition, metabolic biomarkers, and fatigue. …”
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Structural Model of Factors Affecting the Use of Organic Fertilizers by Rice Farmers during Rice (Oryza sativa) Cultivation in Dezful County by Zahra Eskanadari, Moslem Saavri, Masoud Yazdanpanah

“…The form and content validity of the questionnaire was confirmed by experts' opinion and its reliability was confirmed through Cronbach's alpha and composite reliabilityResults and DiscussionThe results of the structural equation modeling research showed that the variables of self-efficacy (ƛ=0.257; P=0.000), action guide (ƛ=0.222; P=0.000), perceived intensity (ƛ=0.121; P=0.035) and perceived sensitivity (ƛ= 0.100; P= 0.046) and perceived benefits (ƛ= 0.319; P= 0.000) have a positive and significant effect on the use of organic fertilizers among rice farmers in Dezful County. …”
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Analysis of imperfect interfaces in cobalt ferrite plates using a linear spring model: a comparative study with terfenol-D by Seema, Abhinav Singhal

“…The comparative study of different piezomagnetic models and the incorporation of heterogeneity and interface conditions contribute to the originality of the research.…”
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Risk-Adjusted Estimation and Graduation of Transition Intensities for Disability and Long-Term Care Insurance: A Multi-State Model Approach by Beatriz A. Curioso, Gracinda R. Guerreiro, Manuel L. Esquível

“…To illustrate the proposed framework, we simulate a dataset with individual risk profiles and model trajectories, mirroring Portugal’s demographic composition. …”
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Quantitative Detection of Water Content of Winter Jujubes Based on Spectral Morphological Features by Yabei Di, Huaping Luo, Hongyang Liu, Huaiyu Liu, Lei Kang, Yuesen Tong

“…After fusing the spectral morphological features, the partial least squares modeling effects were all improved. The optimal model was the fusion model at a center wavelength of 1146 nm with a correlation coefficient of 0.9942 for the calibration set and 0.8698 for the prediction set. …”
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Predicting the occurrence of probable sarcopenia in middle-aged and elderly patients with coronary artery disease: development and validation of a clinical model by Xiaolan Sun, Jia Xu, Feier Chen, Haiyan Lei, Wei Chen, Fang Ding, Xueping Li

“…A multifactorial logistic regression model was employed to discern the independent variables that significantly influence the occurrence of handgrip strength reduction among patients suffering from coronary artery disease. …”
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Machine learning model interpretability using SHAP values: Applied to the task of classifying and predicting the nutritional content of different cuts of mutton by Li Wang, Xuchun Sun, Jing Liang, Zhiyuan Ma, Fei Li, Shengyan Hao, Baocang Liu, Long Guo, Xiuxiu Weng

“…SHAP value analysis revealed that lipid-related variables and wavelengths in the 2300–2500 nm region were major contributors to the model. …”
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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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Dynamic Cascade Spiking Neural Network Supervisory Controller for a Nonplanar Twelve-Rotor UAV by Cheng Peng, Guanyu Qiao, Bing Ge

“…For the purpose of achieving accurate and fast trajectory tracking and strong self-learning ability, an intelligent composite controller combining adaptive sliding-mode feedback control and dynamic cascade spiking neural network (DCSNN) supervisory feedforward control is proposed. …”
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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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The Graft of ANN-FEM Technique in Macro-mechanics of Multi-oriented Natural Fiber/Polyester Laminates by Christian Emeka Okafor, Christopher Chukwutoo Ihueze

“…A standard feed-forward backpropagation network was adopted and the ANN model consists of stacking sequence, laminate aspect ratio and fiber orientation as input variables while the selected network outputs variables include average stress and displacement. …”
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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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