Grid resource data differentiation standard based on CIM model by Fupeng Li, Wenyuan Bai, Shaobo Liu, Yiming Zhang, Mingkang Guo

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Heat supply prediction method of a heat pump system based on timing analysis and a neural network by Xin Liu, Xiuhui Wu, Jingmeng Sang, Kailiang Huang, Guohui Feng, Mengmeng Song, Xiangdong Wang

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A Short-Term Electricity Load Complementary Forecasting Method Based on Bi-Level Decomposition and Complexity Analysis by Xun Dou, Yu He

“…Therefore, this paper proposes a complementary forecasting method based on bi-level decomposition and complexity analysis. …”
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Development of the analysis method of the influence of the economic factor on migration (on the example of Akmola region) by Ivan Georgievich Plachinta

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An Automated and Efficient Slope Unit Division Method Coupled with Computer Graphics and Hydrological Principles by Ting Xiao, Li Zhu, Lichang Wang, Beibei Yang, Can Wang, Haipeng Yao

“…The research findings indicate that this method significantly enhances the scientific validity and practical applicability of slope unit delineation, providing reliable spatial analysis units for multidisciplinary surface process modeling.…”
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Modeling and calculation of airless tires from elastic polyurethanes by Mazur V.V.

“…Nonlinear elastic isotropic models of polyurethane elastomers were adopted for nonlinear static analysis. …”
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Addressing treatment switching in the ALTA-1L trial with g-methods: exploring the impact of model specification by Amani Al Tawil, Sean McGrath, Robin Ristl, Ulrich Mansmann

“…Conclusion Our results consistently indicated that our estimated ITT effect estimate (cHR: 0.82 (0.51,1.22) may have underestimated brigatinib’s benefit by around 10-45 percentage points (using IPCW) and 10-20 percentage points (using the parametric g-formula) across a wide range of model choices. Our analyses underscore the importance of performing sensitivity analyses, as the result from a single analysis could potentially stand as an outlier in a whole range of sensitivity analyses. …”
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Quantitative Analysis of Penetrating Wound Behavior Under Vacuum-Assisted Closure Therapy by Kossak T, Galkiewicz J

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Modified Method of Chain Substitutions as an Alternative to the Integral Method of Economic Analysis by Yu. V. Kirillov

“…However, the chain substitution method used in the vast majority of cases for deterministic factor analysis is inferior in accuracy to the integral method. …”
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Methods and Models for Estimating the Maturity of the Innovation Structure by I. A. Brusakova

“…Also, there have been provided a review of methods and models for assessing the maturity of processes or projects of organizations. …”
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Assembly Rehomogenization Methods for Reactor Analysis by Aldo Dall’Osso

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CFB：Financial Large Models Evaluation Methods by LI Yi, LI Hao, XU Xiaozhe, YANG Yifan

“…As the potential applications of large language models (LLMs) in the financial sector continue to emerge, evaluating the performance of financial LLMs becomes increasingly important. …”
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The method of formation of skills of simulation modeling the it professional by E. N. Guseva, I. Y. Efimova, T. N. Varfolomeeva

“…A specialist in simulation modeling should possess integrative interdisciplinary knowledge from related scientific fields, for example, probability theory and mathematical statistics, higher mathematics, be familiar with other methods of solving economic problems: linear, nonlinear, dynamic programming, optimization; show proficiency in structural and functional analysis; be able to explore complex processes and systems comprehensively.Materials and methods. …”
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Modern Methods of Creating Casting Model Kits by M. L. Kalinichenko, L. P. Dolgiy, S. L. Rovin, V. A. Kukareko, U. A. Kalinichenko

“…There was analyzed their constituent materials and investigated a number of mechanical properties of the binding components for their attachment. Was shown the analysis of adhesive compositions of the world’s leading manufacturers, used for the manufacture of high-strength model sets by 3D milling methods.…”
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Computational Tool for Curve Smoothing Methods Analysis and Surface Plasmon Resonance Biosensor Characterization by Mariana Rodrigues Villarim, Andréa Willa Rodrigues Villarim, Mario Gazziro, Marco Roberto Cavallari, Diomadson Rodrigues Belfort, Oswaldo Hideo Ando Junior

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The Model of Disengagement of Talent with Meta-synthesis Method by Ali Asghar Mobasheri, Ali Nasr Isfahani, Hadi Teimouri

“…Methods This study is a qualitative research project utilizing the meta-synthesis method. …”
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Review of Methods and Models for Forecasting Electricity Consumption by Kamil Misiurek, Tadeusz Olkuski, Janusz Zyśk

“…The authors conducted a comparative analysis of various models, such as autoregressive models, neural networks, fuzzy logic systems, hybrid models, and evolutionary algorithms. …”
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Beyond the Whistle: Mapping Global Trends in Physical Education Teaching Methods through Bibliometric Analysis by Jian Li, Seong Pek Lim

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Game Modeling Possibilities in Product Assortment Management by D. A. Vlasov, P. A. Karasev, A. V. Sinchukov

“…The relevance of the research topic is due to the need of manufacturers to improve the mechanisms for managing the range of manufactured products.The following materials and methods of game modeling were used in the study: designing a set of players, designing a set of player strategies, quantitative assessment of the elements of the payoff matrix, techniques for reducing the degree of uncertainty, methods for choosing optimal strategies under conditions of complete and partial uncertainty, as well as generalizing the experience of using game models in the analysis of various economic situations.The focus is on game modeling that complements the mathematical and statistical methods traditionally used to formulate an assortment policy: mathematical programming methods - the task of optimizing an assortment given resource constraints, such as budget and stocks of raw materials used in the production process; multi-criteria choice methods - the task of taking into account several criteria when making decisions on the product assortment, such as product quality, product price, product demand, etc.; statistical analysis methods (the task of analyzing available sales data and identifying trends - regression analysis to forecast demand for manufactured products, identify relationships between various factors, such as product demand and prices, marketing efforts, seasonality, etc.; cluster analysis to segment products and customers based on previously identified characteristics, such as customer preferences and age, as well as associative analysis to identify relationships between products - determining product groups that can be presented together in the assortment); methods of time series analysis and simulation modeling (the task of forecasting demand for products based on available sales data; the task of fictitious implementation of various assortment management scenarios and quantitative assessment of their consequences).Results. …”
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Analysis of influence of the item total scores on the levels of ability of respondents in the dichotomous Rasch model based on the weighted maximum likelihood method by E. B. Belov, M. V. Alekseev, N. P. Kitaev, A. I. Kuchumov

“…Purpose of the study. Rasch model is often used in processing test results. However, when using this model and the maximum likelihood method (ML), the estimates the levels of ability of respondents depend only on the number of correctly performed test items and do not depend on the difficulties of the items. …”
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