Building a Data Store with the Dynamic Structure by Yu. N. Artamonov

“…The revealed contradiction is related to the temporality of the values of individual data attributes, the variability of the composition of these attributes, and structure of connections between them. …”
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Calcium coordination polymer containing dimethylphosphate ligands and exhibiting nucleating properties towards α and Β crystal polymorphs of isotactic polypropylene by Maciej Dębowski, Mateusz Kullas, Krystyna Czaja, Beata Sacher-Majewska, Marcin Bączek, Maciej Dranka, Andrzej Ostrowski, Zbigniew Florjańczyk

“…Mechanical tests proved that the CaDMP-containing composites exhibited better ductility and impact strength than neat iPP.…”
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METHODS AND MODELS OF RESEARCH OF INVESTMENT ATTRACTIVENESS AND COMPETITIVENESS OF PROJECT-ORIENTED ENTERPRISE IN THE PROCESS OF CREATING INNOVATIVE HIGH-TECH by Oleg Fedorovich, Viktor Kosenko, Liudmyla Lutai, Iaroslav Zamirets

“…The qualitative assessments of experts for the main indicators of the component composition of the product in the form of linguistic variables are proposed. …”
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Numerical Modeling of the Impact of Natural Tropical Oscillations on the Amplitudes of Atmospheric Tides During Sudden Stratospheric Warming by Koval' Andrey Vladislavovich, Vargin Pavel, Gavrilov Nikolai Mihaylovich, Didenko Kseniia Andreevna, Ermakova Tatiana, Efimov Matvey Maksimovich, Sokolov Arseniy

“…In order to study the evolution of atmospheric tides, model simulations of the general atmospheric circulation were carried out using a 3-dimensional nonlinear mechanistic model “MUAM”. …”
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A vascular endothelial cell, neuron, and microglia tri-culture model to study hypertension-related depression by Hongxia Zhao, Hongxia Zhao, Lingge Huang, Jian Liu, Min Feng, Yeqian Liu, Hong Li, Shan Gong, Chunming Chen, Shuiqing Zeng, Weiqiong Ren

“…However, in vivo animal models are often limited by the complexity of intrinsic systems, high inter-individual variability, and stringent ethical regulations. …”
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Advanced generalized machine learning models for predicting hydrogen–brine interfacial tension in underground hydrogen storage systems by Ahmed Farid Ibrahim

“…This study applies machine learning (ML) techniques to predict IFT between H2 and brine across various salt types, concentrations, and gas compositions. A dataset was used with variables such as temperature, pressure, brine salinity, and gas composition (H2, CH4, CO2). …”
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Optimization of extrusion parameters for low-cost alumina–kaolin ceramic membranes via CCD by Mahmoud Moharrami, Mohammadreza Omidkhah, Mohammad Salehi Maleh

“…These findings confirm that the RSM-based design model, incorporating porosity, average pore size, and flexural strength as response variables, is a robust tool for optimizing the fabrication of alumina-kaolin ceramic membranes. …”
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Municipal waste management performance: a focus on Slovakia and its LAU-1 districts by Eleonóra Marišová, Peter Fandel

“…In accordance with the hierarchy of waste treatment methods, the applied models consider desirable waste operations variables (recycling and incineration with energy recovery) and undesirable waste operation variables (landfilling). …”
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Trends and factors contributing to changes in childhood stunting in Bangladesh from 2012 to 2019: A multivariate decomposition modelling. by Satyajit Kundu, Richard Gyan Aboagye, Syed Sharaf Ahmed Chowdhury, Md Hasan Al Banna, Md Ashfikur Rahman, Rakhi Dey, Faruk Ahmed

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Artificial Intelligence-Driven Approach to Optimizing Boiler Power Generation Efficiency: The Advanced Boiler Combustion Control Model by Kyu-Jeong Lee, So-Won Choi, Eul-Bum Lee

“…The by-product gases generated during steel manufacturing processes, including blast furnace gas, coke oven gas, and Linz–Donawitz gas, exhibit considerable variability in composition and supply. Consequently, achieving stable combustion control of these gases is critical for improving boiler efficiency. …”
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Optimization Design of Body-in-White Stiffness Test Rig Based on the Global Adaptive Algorithm of the Hybrid Element Model by Zhaohui Hu, Shuai Mo, Huang Liu, Fuhao Mo

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Solar Energy Utilization of Radiative Implication of Trihybrid Xue-Modeled Nanofluid Flow for Oblique Stagnation Point Flows by Yasir Mehmood, Areej Asif, Ikram Syed, Waseem Abbasi, Syed Sajid Ullah, Muhammad Shahid Anwar

“…This study uses the Xue model to explore how well a nanofluid transfers heat in a steady oblique stagnation-point flow. …”
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Efficient adsorption of methylene blue (MB) by an eco-friendly chitosan derivative adsorbent: An RSM and ANN modeling study by E. Igberase, I.G. Mkhize

“…The isothermal studies revealed that the experimental data fit the Langmuir model well, with a maximum adsorption capacity of 128.67 mg/g. …”
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Optimized Design and Test of Geometrically Nonlinear Static Aeroelasticity Model for High-Speed High-Aspect-Ratio Wing by Xing Li, Wei Qian, Ling Xiao, Xinyu Ai, Jun Liu

“…In order to ensure the accuracy of the wing shape when the model was deformed greatly, this study employed the structural design scheme of the wing with the skin as the main stiffness component, and the thicknesses of different regions of the skin were used as the design variables for the stiffness optimization design. …”
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Adaptation of the process‐based CSM‐CROPGRO model to simulate the growth and development of industrial hemp for seed and fiber production by Alwin Hopf, Kenneth J. Boote, Yogendra Upadhyaya, Hardeep Singh, Michael J. Mulvaney, Navdeep Kaur, Lakesh K. Sharma, Zachary Brym, Jonathan A. Watson, Gerrit Hoogenboom

“…A seasonal analysis using the adapted model showed the impact of variable planting dates on hemp phenology, biomass, and grain production. …”
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On the Nonlinear Forced Vibration of the Magnetostrictive Laminated Beam in a Complex Environment by Nicolae Herisanu, Bogdan Marinca, Vasile Marinca

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Improvement of the inflammation-damaged intestinal barrier and modulation of the gut microbiota in ulcerative colitis after FMT in the SHIME® model by Anna Kamlárová, Monika Kvaková, Ľuboš Ambro, René Link, Izabela Bertková, Zdenka Hertelyová, Martin Janíčko, Emília Hijová, Jana Štofilová

“…In summary, this study confirmed that a single dose of FMT beneficially modulated the composition and metabolic activity of the UC microbiota in the SHIME® model. …”
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Predicting the Tensile Properties of Automotive Steels at Intermediate Strain Rates via Interpretable Ensemble Machine Learning by Houchao Wang, Fengyao Lv, Zhenfei Zhan, Hailong Zhao, Jie Li, Kangte Yang

“…Five machine learning models, including ridge regression, support vector machine regression, gradient boosted regression tree, random forest, and adaptive boosting regression, were developed to predict the yield strength (YS), ultimate tensile strength (UTS), and fracture elongation (FE) of automotive steels at 100/s using the composition, sample size, and quasi-static mechanical properties of automotive steels as input variables. …”
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Possibility of using the SBE profilometer data for calibration of satellite data on concentration of chlorophyll <i>a</i> in the Japan Sea by Sergey P. Zakharkov, Yulianna V. Shambarova, Tatyana N. Gordeychuk, Inna V. Stonik, Elena A. Shtraikhert

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Spatiotemporal evolution of surface water quality and driving factors across varying levels of human interference in a major subbasin of the Yellow River Basin, China by Longmei Xie, Ruizhong Gao, Xixi Wang, Limin Duan, Lijing Fang, Hui Tong, Chang Yue, Tingxi Liu

“…Using 2013–2023 datasets on water quality, hydrology, and meteorology, the composite pollution index (CPI), ANOVA, and generalized additive models were applied to provide insights for effective management. …”
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