Scientific-methodological knowledge and its development in the educational process by S. A. Gilmanov, A. V. Mironov, V. A. Mishchenko

“…In the mathematical and statistical interpretation of individual research results (correlation and variance types of analysis), the IBM SPSS Statistics 23 was employed.                …”
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The Effect of Art Therapy-Based Training on Auditory Processing Speed, Visual Processing Speed, and Working Memory and General Cognition of Multiple Sclerosis Patients (MS by Rezvaneh Qorbani Ranjbarzade, Navid Khalesi, Sanaz Dehghan Marvasti

“…Art therapy-based training sessions account for 21% of the variance in general cognition. It can be inferred that the auditory processing speed-working memory, visual processing speed-working memory, and general cognition of MS patients can be enhanced through art therapy-based education. …”
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Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution by Jiaxing CHEN, Yang LIU, Xiaoqian LIU, Zhihua LIU

“…Secondly, a fitness variance criterion was proposed to verify that the proposed algorithm was capable of avoiding the local optima problem during the iterative process. …”
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Elucidating critical success factors for digital transformation in logistics service providers using a grey-DANP approach: Insights from the Thai SMEs road freight transportation s... by Natapat Areerakulkan, Detcharat Sumrit

“…Weight-variance analysis (WVA) further assesses the strengths and weaknesses of each CSF, providing organizations valuable insights for enhancing the DT process. …”
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Analysis of Thermal Aspect in Hard Turning of AISI 52100 Alloy Steel Under Minimal Cutting Fluid Environment Using FEM by Sandip Mane, Rajkumar Bhimgonda Patil, Mohan Lal Kolhe, Anindita Roy, Amol Gulabrao Kamble, Amit Chaudhari

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An Adaptive Non-Reference Approach for Characterizing and Assessing Image Quality in Multichannel GPR for Automatic Hyperbola Detection by Klaudia Pasternak, Anna Fryśkowska-Skibniewska, Łukasz Ortyl

“…Due to the fact that the dataset acquired with a multi-antenna GPR is very large, in the context of automating the process of detecting hyperbolas, the authors have proposed an adaptive approach to the selection of GPR images. …”
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Optimisation of forest management under climate change in the French maritime pine (Pinus pinaster Aiton) forests by Lucile Ansaldi, Clémence Labarre, David Makowski, Jean-Christophe Domec, Denis Loustau

“…Methods We used the mean-variance optimisation method to identify the optimal management portfolios for the Landes de Gascogne forest. …”
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Interactions of socioecological factors on the supply–demand balance of ecosystem services in the Yangtze River Economic Belt, China by Zhiming Zhang, Fengman Fang, Xiaojing Cheng, Chenbo Huang

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Machine Learning-Driven Prediction of Wear Rate and Phase Formation in High Entropy Alloy Coatings for Enhanced Durability and Performance by S. Sivaraman, N. Radhika, Muhammad Abubaker Khan

“…To address this, Machine Learning (ML) techniques were integrated to predict the wear rate and phase formation in HEA coatings processed through thermal spray methods. Ten ML models such as AdaBoost, XGBoost, CatBoost, GBRT, DT, SVM-RBF, MLP, BNN, MLR and HR were utilized to predict wear rate, Feature engineering was conducted using Mutual Information (MI) and Pearson Correlation Coefficient (PCC) to access feature significance, Variance Inflation Factors (VIFs) analyzed multicollinearity, identified influential elements for wear rate prediction and aiding in the development of novel Lightweight High Entropy Alloys (LHEAs) coating compositions. …”
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Balancing Predictive Performance and Interpretability in Machine Learning: A Scoring System and an Empirical Study in Traffic Prediction by Fabian Obster, Monica I. Ciolacu, Andreas Humpe

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APPLICATION OF MULTIVARIATE ANOVA AND GENERALIZED DESIRABILITY TO OPTIMIZE THE COMPOSITION AND TECHNOLOGY OF TABLETS CONTAINING N-BENZYL-N-METHYL-1-PHENYLPYRROLO [1,2-A] PYRAZINE-3... by S. V. Tishkov, E. V. Blynskaya, K. V. Alekseev, V. K. Alekseev, D. I. Gavrilov

“…The use of this method made it possible to reduce the conflicting variance analysis results to the most optimal composition.…”
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Process optimization of selective laser melting nickel-based superalloy by LIU Ze-cheng, WANG Guo-wei, XIAO Xiang-you, LIU Feng

“…Based on the analysis of variance, signal-to-noise ratio, main effect diagram, and response curve, the effects of the process parameters and the parameter interactions on the relative density of samples were evaluated. …”
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Removal of organic compounds using halloysite by Fenton-like process by Jacek Leszczyński

“…Analysis of variance (ANOVA) was used to assess the relationship between process variables and outcomes, specifically COD, color, and UV254, in the Fenton process. …”
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Optimization of Process Parameters of Friction Stir Welding by Taguchi Method by Azzam Sabah Albunduqee, Hussein R Al-Bugharbee

“…In welded joints the mechanical properties are affected by a number of mechanical properties of the joined materials and by the process parameters as well. In the present study, the effect of a number of friction stir welding parameters on the tensile strength of the welded joint have been investigated using the Taguchi method and the analysis of variance (ANOVA). …”
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Evaluation of Wheat Seed Traits Stored in Outdoor Before Processing by H. Khazaei

“…The First factor was three wheat varieties including Falat, Chamran, Cascojen and the second factor was duration of wheat seed storage in outdoor for 0, 15, 30 and 45 days before processing. Moisture content, hectolitre weight, seed loss percentage while processing, germination percentage before and after accelerated aging test, seedling vigor index and germination rate were evaluated. …”
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Markov-Modulated and Shifted Wishart Processes with Applications in Derivatives Pricing by Behzad-Hussein Azadie Faraz, Hamid Arian, Marcos Escobar-Anel

“…These features tend to increase substantially during crisis periods, more than predicted by a Wishart dynamic. Moreover, the variance processes implied by the Wishart, similar to CIR models, have no buffer away from zero. …”
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Investigations into aerodynamics of tall buildings using signal processing tools by Chaturvedi Arjit, Mohan Keerthana, Darshyamkar Renuka, Harikrishna Pabbisetty

“…This reduction process is essential for simplifying complex and random field data sets while preserving significant patterns and trends. …”
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Lean Participative Process Improvement: Outcomes and Obstacles in Trauma Orthopaedics. by Steve New, Mohammed Hadi, Sharon Pickering, Eleanor Robertson, Lauren Morgan, Damian Griffin, Gary Collins, Oliver Rivero-Arias, Ken Catchpole, Peter McCulloch

“…We compared changes in measures using 2-way analysis of variance.<h4>Results</h4>We studied 576 cases before and 465 after intervention, observing the operation in 38 and 41 cases respectively. …”
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INFORMATION SYSTEM FOR FORECASTING NONLINEAR NON-STATIONARY PROCESSES IN FINANCE by Петро Бідюк, Роман Тертичний, Денис Чупрін

“…The study's results demonstrate that using an integrated approach, which includes regression models and neural networks, significantly improves the quality of forecasting variance changing in time and the nonlinear non-stationary process. …”
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Log File Times as Indicators of Structured Figural Matrix Processing by Dominik Weber, Marco Koch, Frank M. Spinath, Florian Krieger, Nicolas Becker

“…Previous research has shown individual differences in (a) time on task (ToT) and (b) the degree of structuredness in processing figural matrices. The goal of this article was to integrate these two lines of research by analyzing log files from a computer-based assessment (<i>N</i> = 198) to examine the role of three ToT sub-components: onset times (before engaging with the first matrix rule), interrule times (between the rules), and intrarule times (within a single rule). …”
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