Numerical assessments of scour depth predictions downstream of box culverts under various flow and blockage conditions by Kaywan Othman Ahmed, Mohammad Reza Kavianpour, Ata Amini, Younes Aminpour

“…The analysis revealed that predictions from numerical models corresponded closely with experimental outcomes, although the scour depths calculated by the models were generally lower than those observed under both steady and unsteady flow conditions. …”
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Data and models reveal humid environmental conditions during MIS 3 in two of the world’s largest deserts by Lézine, Anne-Marie, Kageyama, Masa, Bassinot, Franck

“…Despite a generally glacial context, wet conditions widely expanded giving place to numerous lakes, rivers and wetlands. …”
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Analysis of the trend of changes in density and the nature of the distribution of pore channels by size using complex modeling by Maxim O. Mikhailov, Lyubov S. Kuleshova, Rasul T. Akhmetov, Ruslan A. Gilyazetdinov

“…Results. Curves of generalized and inverse generalized models are constructed for the most representative samples of reservoirs in Western Siberia. …”
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Development of decay curve for paint pavement marking using machine learning and generalized estimation equation by Giovanni Andrea Dimauro, Salvatore Cafiso, Omid Ghaderi, Giuseppina Pappalardo

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A New Generation of Hydrological Condition Simulator Employing Physical Models and Satellite‐Based Meteorological Data by Wenchao Ma, Kenshi Hibino, Kosuke Yamamoto, Misako Kachi, Riko Oki, Haruya Yoshikawa, Kei Yoshimura

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Sequential Model of Economic System and Constrained Pareto Optimality by Zoran Popovic, Marko Backović

“…The concept of general economic equilibrium of sequential structures of economic system involves development of the general economic equilibrium model that includes the structure of asset markets. …”
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Modeling chronic pain interconnections using Bayesian networks: insights from the Qatar Biobank study by Aisha Ahmad M. A. Al-Khinji, Aisha Ahmad M. A. Al-Khinji, Dhafer Malouche, Dhafer Malouche

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General principles of expanding the speed range of operation of autonomous power supply systems for passenger cars by S. L. Samoshkin, S. S. Mironov, O. S. Samoshkin, M. V. Khodenkov, A. S. Sarikov

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A neural network design for black-box identification of converter impedance models in arbitrary operating conditions by CHEN Bing, ZHAO Chongbin, JIANG Qirong, WANG Xu, WANG Fangming

“…In the data collection stage, the frequency sweep method is used to obtain the frequency response of the closed-loop impedance model under enough operating conditions. In the model training stage, taking into account the latent features of the converter impedance model, a neural network with the same number as the disturbance frequency was designed, and the Levenberg-Marquardt algorithm with Bayesian regularization integrated is used to enhance the generalization ability of the network trained with a small dataset. …”
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A Quantitative Relationship Analysis of Industry Shifts and Trade Restructuring in ASEAN Based on Multiregional Computable General Equilibrium Models by Luyuan Xu

“…This paper provides an in-depth study and analysis of the quantitative relationship between ASEAN industry transfer and nuclear trade restructuring through the multiregional computable general equilibrium (CGE) model and categorizes the ten major projects and 57 subprojects covered by the ASEAN Information Port project investment into construction, information technology, and telecommunications, according to the key directions of investment. …”
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Large language models underperform in European general surgery board examinations: a comparative study with experts and surgical residents by Melih Can Gül

“…This study compared the performance of four AI models (Llama-3, Gemini, GPT-4o, and Copilot) with specialists and residents on European General Surgery Board test questions, focusing on accuracy across question formats, lengths, and difficulty levels. …”
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Multiple Imputation Based on Conditional Quantile Estimation by Matteo Bottai, Huiling Zhen

“…It is widely utilized in many set- tings and preeminent among general approaches when the analytical method does not involve a likelihood function or this is too complex. …”
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The initial conditions determination of the differential equation describing the behavior of the asphalt concrete rheological model by Shishkin E.A., Ivanchenko S.N.

“…In this article we consider a general method of determination the initial conditions for the subsequent solution of the differential equation of the model. …”
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Analysis of Adaptation of Students Studying under the Flipped Classroom Model to the Conditions of Distance Learning by G. R. Chaynikova

“…However, a comparison of data obtained on the discipline “English language”, where training was initially built on the flipped classroom model, and data on distance learning in general allows the author to conclude that the technology of blended learning makes it possible to reduce a number of difficulties, in particular, technical difficulties when switching to distance learning, and the indicator of satisfaction with the results of their learning activities shows that the flipped classroom model allows students to more fully realize their abilities and achieve the desired results not only in the conditions of blended learning, but also when switching to distance one.Conclusion. …”
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About Modeling the Excitation Conditions of Cherenkov and Diffraction Radiations in Periodic Metal-dielectric Structures by G.S. Vorobjov, M.V. Petrovskyi, A.I. Ruban, D.Y. Doroshenko

“…General procedure for modeling the excitation conditions of Cherenkov and diffraction radiations in periodic metal-dielectric structures is described. …”
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The Interplay Between Carotid Intima-Media Thickness and Selected Serum Biomarkers in Various Stages of Chronic Kidney Disease by Mateusz Twardawa, Piotr Formanowicz, Dorota Formanowicz

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On Solution Set Associated with a Class of Multiple Objective Control Models by Savin Treanţă, Omar Mutab Alsalami

“…In this paper, necessary and sufficient efficiency conditions in new multi-cost variational models are formulated and proved. …”
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Integrated modeling of boron powder injection for real-time plasma-facing component conditioning by F. Effenberg, K. Schmid, F. Nespoli, A. Bortolon, Y. Feng, B.A. Grierson, J.D. Lore, R. Maingi, D.L. Rudakov

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MODEL OF ORGANIZATIONAL AND INFORMATION SUPPORT OF SMART CITY STRATEGY DEVELOPMENT IN THE CONDITIONS OF DIGITAL ECONOMY by Tetiana Momot, Yevgen Muraev

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Exploring Downscaling in High-Dimensional Lorenz Models Using the Transformer Decoder by Bo-Wen Shen

“…This study integrates atmospheric sciences, nonlinear dynamics, and machine learning, focusing on using large-scale atmospheric data to predict small-scale phenomena through ML-based empirical models. The high-dimensional generalized Lorenz model (GLM) was utilized to generate chaotic data across multiple scales, which was subsequently used to train three types of machine learning models: a linear regression model, a feedforward neural network (FFNN)-based model, and a transformer-based model. …”
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