Selecting Single Model in Combination Forecasting Based on Cointegration Test and Encompassing Test by Chuanjin Jiang, Jing Zhang, Fugen Song

“…Combination forecasting takes all characters of each single forecasting method into consideration, and combines them to form a composite, which increases forecasting accuracy. …”
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Innovative Model for Material Selection Within the Automotive Lightweight Eco-Design Field by Edoardo Risaliti, Arcidiacono Gabriele, Francesco Del Pero, Paolo Citti

“…The conceived approach combines the Ashby method, which assesses mechanical properties and costs, with the VIKOR multi-criteria decision analysis, including a comprehensive model functional to assess the environmental impact of the considered automotive assets. …”
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Evaluation of Sustainability for Coal Consumption Using a Multiattribute Decision-Making Model by Guodang Zhao, Xuyang Guo, Xin Wang, Dezhi Zheng

“…This study proposed a method to evaluate sustainability for coal consumption by using a multiple-attribute decision-making (MADM) model. …”
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MODELING HEAT EXCHANGE DEPENDING ON THE PRANDTL NUMBER FOR VARIOUS GEOMETRIC AND REGIME PARAMETERS by I. E. Lobanov

“…A calculation was carried out on the basis of a theoretical method based on the solution of the Reynolds equations by factored finite-volume method closed with the help of the Menter shear stress transport model, as well as the energy equation on different-scaled intersecting structured grids (fast composite mesh method (FCOM)).Results. …”
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DETERMINATION OF THE OPTIMAL EXTRACTION CONDITIONS OF DANDELION HERB AND LARGE BURDOCK LEAF SPECIE BY METHODS OF MATHEMATICAL PLANNING OF A MULTIFACTORIAL EXPERIMENT by Yu. I. Chistova

“…A linear equation of the extraction process were obtained and the adequacy of the work of the obtained mathematical model is proved. To refine the extraction conditions and establish the optimal extraction regime, the method of steep ascent on the response surface was used.Conclusion. …”
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An interpretable stacking ensemble model for high-entropy alloy mechanical property prediction by Songpeng Zhao, Zeyuan Li, Changshuai Yin, Zhaofu Zhang, Teng Long, Jingjing Yang, Ruyue Cao, Yuzheng Guo

“…Three machine learning algorithms-Random Forest (RF), Extreme Gradient Boosting (XGBoost), and Gradient Boosting (Gradient Boosting)-were integrated into a multi-level stacking ensemble, with Support Vector Regression serving as the meta-learner. To improve model interpretability, the SHapley Additive Explanations (SHAP) method was applied to assess feature importance. …”
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Statistical Modeling of Environmental Factors on Microbial Urea Hydrolysis Process for Biocement Production by Hamed Khodadadi Tirkolaei, Huriye Bilsel

“…Variation in conductivity of the solution versus logarithmic scale of time was depicted as microbial ureolysis characteristic curve (MUCC) through which lag duration, specific rate, and potential of urea hydrolysis at each condition were obtained. Central composite face-centered (CCF) design, which is one of the response surface methodologies, was employed to statistically fit polynomial models explaining the bacterial growth and the characteristics obtained from MUCCs in terms of the environmental factors and their interactions. …”
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Slug Self-Propulsion in a Capillary Tube Mathematical Modeling and Numerical Simulation by M. I. Khodabocus, M. Sellier, V. Nock

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Three-Dimensional Mesoscopic DEM Modeling and Compressive Behavior of Macroporous Recycled Concrete by Yupeng Xu, Fei Geng, Haoxiang Luan, Jun Chen, Hangli Yang, Peiwei Gao

“…The mesoscopic-scale discrete element method (DEM) modeling approach demonstrated high compatibility with macroporous recycled concrete (MRC). …”
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Novel method for predicting the cracks of oxide scales during high temperature oxidation of metals and alloys by using machine learning by Rathachai Chawuthai, Teeratat Promchan, Jularak Rojsanga, Somrerk Chandra-ambhorn, Thanasak Nilsonthi, Patthranit Wongpromrat, Eakarach Bumrungthaichaichan, Amata Anantpinijwatna

“…The inputs for the present developed model were alloy compositions, oxide formed during oxidation, and oxidation conditions and periods. …”
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Quality evaluation and price discrimination of jasmine-scented tea by Zhang Jun, Gong Shuying, Tang Desong, Zhang Yingbin, Chen Meili

“…Factor analysis and discriminant analysis were carried out based on the 32 variables using SPSS 16.0 for Windows.The models for quality evaluation and price discrimination of jasmine-scented tea samples were established by factor and discriminant analysis based on the data obtained from brewing and extracting methods. …”
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Efficient Phosphorus capture from treated sanitary wastewater using a waste-derived SiO2@FeOOH composite: Robustness, Ca2+ interactions, and recovery perspectives by Renan S. Nunes, Gabriela T.M. Xavier, Alessandro L. Urzedo, Pedro S. Fadini, Marcio Romeiro, Wagner A. Carvalho

“…As a result, the behavior of the adsorbent under controlled conditions was successfully modeled, and relevant interactions between the material and Ca2+ ions were identified under simulated conditions. …”
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Influence of Hygrothermal Aging on the Strength of Carbon Fiber Reinforced Compo-site Material Equipment Cabin by HE Zikun, XIAO Shoune, Jiang Lanxin, CHEN Dongdong, WANG Mingmeng

“…An equipment cabin finite element model for a certain type of carbon fiber composite is established. …”
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Statistical optimization characterizations and Eco- friendly synthesis of silica from sugarcane bagasse by Girma Assefa Habte, Tafere Aga Bullo, Yasin Ahmed

“…Employing Central Composite Design, the study systematically varied combustion temperature (500–800 °C), combustion time (2–4 h), and digestion time (1–3 h) to enhance silica yield. …”
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A generalized machine learning framework to estimate fatigue life across materials with minimal data by Dharun Vadugappatty Srinivasan, Morteza Moradi, Panagiotis Komninos, Dimitrios Zarouchas, Anastasios P. Vassilopoulos

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Is the population level of anxiety and depression associated with mortality? Data from the ESSE-RF study by S. E. Evstifeeva, S. A. Shalnova, Yu. K. Makarova, E. B. Yarovaya, Yu. A. Balanova, A. E. Imaeva, A. V. Kapustina, G. A. Muromtseva, S. A. Maksimov, N. S. Karamnova, G. V. Artamonova, O. A. Belova, Yu. I. Grinshtein, М. M. Petrova, D. V. Duplyakov, A. Yu. Efanov, N. V. Kulakova, R. A. Libis, T. M. Chernykh, O. P. Rotar, I. A. Trubacheva, A. A. Shabunova, A. O. Konradi, S. A. Boytsov, O. M. Drapkina

“…Anxiety in multivariate models was not associated with all-cause mortality and CE in both sex groups.…”
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The mediating role of body surface area-adjusted basal metabolic rate: effects of low muscle mass and central obesity on cognitive impairment in Chinese patients with type 2 diabet... by Ya-Jie Zhai, Ya-Jie Zhai, Fang Li, Chen-Ying Lin, Chen-Ying Lin, Fan Wu, Hui-Na Qiu, Jing-Bo Li, Jing-Na Lin

“…BackgroundThis study investigates the relationship between basal metabolic rate (BMR), body composition, obesity indices, and cognitive impairment (CI) in middle-aged and older type 2 diabetes mellitus (T2DM) patients, assessing their potential role in CI screening.MethodsA cross-sectional study included 1243 T2DM patients over 45 years old. …”
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A Novel High-Precision Workpiece Self-Positioning Method for Improving the Convergence Ratio of Optical Components in Magnetorheological Finishing by Yiang Zhang, Pengxiang Wang, Chaoliang Guan, Meng Liu, Xiaoqiang Peng, Hao Hu

“…A composite data acquisition method using both a camera and probe is designed, and a stepwise global optimization model is constructed by integrating a synchronous iterative localization algorithm with the Non-dominated Sorting Genetic Algorithm II (NSGA-II). …”
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Free Vibration Response of Agglomerated Carbon Nanotube-Reinforced Nanocomposite Plates by Madan Maurya, S. M. Jawaid, Anupam Chakrabarti

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Construction of Fracture Liaison Service Scheme Under Medical Alliance Framework in China: A Modified Delphi Method Study by Yu J, Su L, Feng L, Li Y, Qiao L, Yin H, Li D, Lei Y, Gao H

“…However, large-scale intervention research on this model within China is lacking. This investigation endeavors to construct a comprehensive FLS framework and to establish its core performance indicators within the Chinese medical alliance structure.Patients and Methods: The research methodology encompassed focus group interviews and a two-phase Delphi process. …”
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