Simulating of snow cover formation by the model of interaction between the land surface and the atmosphere (SWAP) by E. M. Gusev, O. N. Nasonova

“…The calculation method is based on the physical and mathematical description of heat and moisture exchange processes occurring within the system «ground water – soil – vegetation cover/snow cover – surface layer of the atmosphere», and it is implemented in the form of the model of interaction between the land surface and the atmosphere (SWAP). …”
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Thermochemical response of TiO2 upon heating with CaMg2 reductant: Experimental findings and theoretical modeling by Kyu Seok Lim, Hayk Nersisyan, Seul Ki Han, Kyoung-Tae Park, Hoyoung Suh, Jong Hyeon Lee

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The Transitional Justice Models and the Justifications of Means of Dealing with the Past by Michal Krotoszynski

“…Seeing transitional justice as an ontologically complex structure, the article aims to relate the legal instruments that concentrate on past abusers to the axiological layer of settling accounts with the past. In order to do so, three basic models of transitional justice – a retribution model, a historical clarification model and a thick line model – all based on the measures implemented during democratic change, are presented. …”
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A two-parameter damage-controlled strength model to predict the fracturing of brittle rock mass at great depth by Songfeng Guo, Shengwen Qi, Shishu Zhang, Muhammad Faisal Waqar, Feng Xiong, Ning Liang, Bowen Zheng, Xingdong Ma, Fengjiao Tang

“…The stress and deformation process can then be accurately captured layer by layer under the excavation. …”
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Influence of the flow rate on the die swell for polymer micro coextrusion process by Deng Xiaozhen, Ji Haibo, Liu Biao, Liu Qiang, Xiao Bing, Ren Zhong, Xu Fang, Fan Li

“…A numerical model for a polymer double-layer single lumen microtubes coextrusion flow was constructed and the finite element method was used for numerical solution. …”
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Integrating infiltration processes in hybrid downscaling methods to estimate sub-surface soil moisture by Mo Zhang, Yong Ge, Jianghao Wang

“…This study aims to integrate infiltration processes into downscaling models to predict 1-km multi-layer soil moisture, while comparing performance of nonlinear and linear models, and evaluating RK improvements. …”
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Comparative Evaluation of Sequential Neural Network (GRU, LSTM, Transformer) Within Siamese Networks for Enhanced Job–Candidate Matching in Applied Recruitment Systems by Mateusz Łępicki, Tomasz Latkowski, Izabella Antoniuk, Michał Bukowski, Bartosz Świderski, Grzegorz Baranik, Bogusz Nowak, Robert Zakowicz, Łukasz Dobrakowski, Bogdan Act, Jarosław Kurek

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Explainable Supervised Learning Models for Aviation Predictions in Australia by Aziida Nanyonga, Hassan Wasswa, Keith Joiner, Ugur Turhan, Graham Wild

“…Artificial intelligence (AI) has demonstrated success across various industries; however, its adoption in aviation remains limited due to concerns regarding the interpretability of AI models, which often function as black box systems with opaque decision-making processes. …”
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Numerical investigation on the penetration process of steel casings in riprap environment of estuarine mudflats by Weishun Zhao, Zipeng Qin, Liangbin Zhang, Jia Lin, Lefeng Chen, Guoxun Chen, Zhongzhu Lin, Ping Shen, Jingquan Gao, Shixing Liu, Ne Yang, Zhilong Jin, Guangyin Wei, Yan Tian

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The model is a reprint of an object in the image by A. A. Kulikov

“…To train a reprint model of an object in an image, a multi-layer neural network is used, which is trained sequentially. …”
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A trusted IoT architecture model by Ansheng YIN, Shijun ZHANG

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CFD Modeling of Solid Suspension in a Stirred Tank: Effect of Drag Models and Turbulent Dispersion on Cloud Height by Shitanshu Gohel, Shitalkumar Joshi, Mohammed Azhar, Marc Horner, Gustavo Padron

“…In dense systems, agitation leads to the formation of a clear liquid layer above a solid cloud. Cloud height, defined as the location of the clear liquid interface, is a critical measure of process performance. …”
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Impact of process parameters and material selection on the mechanical performance of FDM 3D-Printed components by Md Mahbub Morshed Haque, Suchinto Roy Dhrubo, Al-Fida Zubayer Pranto, Akash Ahmed, Md Miraj Arefin, Md Arifuzzaman, Md Shariful Islam

“…Fused Deposition Modelling (FDM) is a widely adopted additive manufacturing technique that constructs objects by sequentially depositing layers of thermoplastic filament. …”
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Mathematical modeling of Elbrus glaciers in the 21st century. Part 1. Glaciological model and setup of numerical experiments. by T. N. Postnikova, O. O. Rybak, A. S. Gubanov, H. Zekollari, M. Huss

“…The paper discusses calibration processes that allow using simple modeling methods, such as the temperature index method for calculating the surface mass balance, and to simulate the real behavior of glaciers. …”
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Deep Ocean Ventilation: A Comparison Between a General Circulation Model and Data‐Constrained Inverse Models by Bruno Millet, Casimir de Lavergne, William R. Gray, Christian Éthé, Gurvan Madec, Mark Holzer, Tim DeVries, Geoffrey Gebbie, Didier M. Roche

“…Abstract Ocean ventilation, or the transfer of tracers from the surface boundary layer into the ocean interior, is a critical process in biogeochemical cycles and the climate system. …”
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Local and global sensitivity analysis for a prediction model of nitrogen loss in Southern China’s paddy fields via HYDRUS-1D by Shuhuai Wang, Juxiu Tong, Chen Huang

“…Abstract Nitrogen loss in paddy fields has been widely recognized as a significant contributor to nonpoint source pollution. Predicting this process through modeling is crucial, yet model parameters always carry uncertainty. …”
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Physical layer security for SWIPT-NOMA system in presence of randomly located eavesdroppers by Yifan DING, Guangqiu LI, Hui LI

“…The combination of non-orthogonal multiple access (NOMA) and simultaneous wireless information and power transfer (SWIPT) technologies can improve spectrum efficiency of wireless system and solve the power supply problem of user nodes.However, when energy-harvesting receivers want to maliciously eavesdrop on confidential information sent by the base station, the information security transmission of SWIPT-NOMA system will be threatened.To enhance its physical layer security (PLS) performance, the PLS model of SWIPT-NOMA system with transmit antenna selection and power split strategies was proposed.When the spatial location randomly distributed energy-harvesting receivers obey the Poisson point process, the approximate expressions for the secrecy outage probability and non-zero secrecy capacity probability of SWIPT-NOMA system were derived by using the spatial Poisson probability generation function.Numerical and simulation results verify the accuracy of the expressions.The above expressions can also be used to study the influence of eavesdropper density, the distance between the base station and the far and near information receivers, the number of transmitting antennas and the power split factor on PLS performance of SWIPT-NOMA system.…”
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A numerical investigation into the influence of the slide burnishing process on the real surface roughness and residual stress profiles of AHSS by Jesús Ismael Jiménez-García, Gustavo Capilla-González, Antonio de Jesús Balvantín-García, J. Antonio Travieso-Rodriguez, Ismael Ruíz-López, Alberto Saldaña-Robles

“…Finite element models of the burnishing process for galvanized Advanced High-Strength Steels (AHSS) sheets were developed. …”
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Computer Modeling in the Application to Geothermal Engineering by Karpenko Vasily Nikolaevich, Yuriy Starodub, Andrii Havrys

“…The novelty of the obtained research results: (i) developed the mathematical model of the physical process of origin and distribution in the bowels of the density of geothermal energy of the Earth from the surface to its center, which is the density of internal energy of an elementary geological object, and which increases when approaching the center of the planet; (ii) developed the mathematical model of the thermal energy source of infrared (IR) waves of the elementary geophysical object of the Earth’s interior depending on the depth of its occurrence, which allows to determine the stable generation of geothermal energy by rocks in a deep well for extraction and conversion into electricity and to study the geological structure and physical properties of the Earth’s interior; (iii) the mathematical model of heat exchange between the layers of the Earth’s subsoil with the thermal energy of infrared waves according to the laws of Fourier thermal conductivity and Stefan–Boltzmann heat transfer, which together with the geothermal energy source model allows to determine a thermal capacity of rocks in a deep well; (iv) developed the mathematical model of stable action of a source of thermal energy in the center of mass of the Earth, in the absence of which it is hard to explain the power of its endogenous infrared heat flux, parameters of geothermal energy distribution in the Earth, and the current thermodynamic state of the atmosphere, and the change in temperature of which depends on the thermophysical parameters of the physical-chemical composition of the atmosphere more than on changes in the thermal activity of the Sun; (v) determination of new numerical values: thermophysical parameters of the Earth’s interior; kinetic, potential and own gravitational energy of the Earth and own gravitational energy of the planets of the Solar System.…”
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Exploring the energy landscape of RBMs: reciprocal space insights into bosons, hierarchical learning and symmetry breaking by J Quetzalcóatl Toledo-Marin, Anindita Maiti, Geoffrey C Fox, Roger G Melko

“…To illustrate our results, we trained replicas of RBMs with different hidden layer sizes using the MNIST dataset. Our findings not only bridge the gap between disparate generative frameworks but also shed light on the fundamental processes underpinning learning in deep generative models.…”
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