SELECTING RATED CAPACITY FOR POWER TRANSFORMERS by M. I. Fursanov, I. I. Dul

“…The thermal transient-processes computation results for a transformer with   a 168-hour random electrical-load list demonstrate the performance capabilities of the offered  method.…”
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Cyber‐physical‐based welding systems: Components and implementation strategies by József Szőlősi, Péter Magyar, József Antal, Béla J. Szekeres, Gábor Farkas, Mátyás Andó

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MATSE—multi-fidelity augmented time-series emulation: galvanic corrosion applications by Aditya Venkatraman, Ryan M Katona, David Montes de Oca Zapiain

“…This work introduces a multi-fidelity Gaussian process regression framework designed to emulate time-series outputs from high-fidelity models. …”
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A Realistic Breast Phantom for Investigating the Features of the Microwave Radiometry Method Using Mathematical and Physical Modelling by Maxim V. Polyakov, Danila S. Sirotin

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An Explicit Numerical Scheme for Milne’s Phase–Amplitude Equations by Robin Piron, Mikael Tacu

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Model for assessing the maturity level of digital transformation in higher education institutions: a theoretical-methodological approach by Jessie Bravo-Jaico, Roger Alarcón, Carlos Valdivia, Nilton Germán, Janet Aquino, Oscar Serquén, Laurita Guevara, Armando Moreno Heredia

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From Segregation to Fragmentation: Mapping the Recent Global Literature by Víctor Picó-Gutiérrez, Federico E. González-Ramírez, Luis A. Escudero-Gómez

“…Research on this topic has increased in recent years, paralleling the growing urban complexity influenced by phenomena such as the 2008 crisis and the COVID-19 pandemic. (2) Methods: This study conducts a bibliometric analysis based on a filtered compilation of results extracted from the main indexed bibliographic databases in social sciences for subsequent computer-assisted processing. The objective is to provide a systematic overview of the structure of academic production and to identify its main descriptors. …”
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Synergic strategies in reinforcing the pluralistic paradigm, inclusion and diversity as a catalyst for social sustainability focusing on agribusinesses by Hana Urbancová, Pavla Vrabcová, Peter Madzík, Aleš Kocourek

“…The data were obtained through quantitative research using the Computer Assisted Web Interviewing method (n = 202) and processed using the chi-square test at a 0.05 significance level as well as through qualitative research involving focus groups (n = 10). …”
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Impact of socio-demographic structure of the deaf people communities in prevalence of hereditary hearing loss by O. L. Posukh, M. S. Bady-Khoo, M. V. Zytsar, V. Yu. Mikhalskaia, S. A. Lashin, N. A. Barashkov, G. P. Romanov

“…The start for these events was the breakdown of the deep social isolation of deaf people, which occurred about 300 years ago in Europe, and later in the US, when special schools for the deaf with learning sign language as a common tool for communication were established (linguistic homogamy). Computer simulations and comparative retrospective study showed that over the past 200 years these social processes can have doubled the frequency of deafness in the US caused by the GJB2 gene mutations. …”
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Meta Learner-Based Transfer Learning: Bridging Simulation and Actual Router Metrics by Kyota Hattori, Tomohiro Korikawa, Chikako Takasaki

“…Additionally, the proposed method demonstrates robustness and effectiveness in scenarios where real-world data is limited while maintaining lower computational complexity compared to conventional methods. …”
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Positive correlation between the Po River discharge and ocean colour trends of Chl and TSM in the Adriatic Sea by Iacopo Vona, Iacopo Vona, Simone Colella, Michela Sammartino, Vittorio E. Brando, Federico Falcini

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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting by Hui-Dong Yin, Yi-Yang Li

“…This study addresses the forecasting of soybean oil prices in China’s wholesale markets by developing a Bayesian-optimized Multi-Task Gaussian Process Regression (MTGPR) framework. Traditional econometric models and machine learning approaches often struggle with non-stationary data and uncertainty quantification, while existing Gaussian process applications in agricultural markets remain underexplored. …”
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Equilibrium line altitudes, accumulation areas and the vulnerability of glaciers in Alaska by Lucas Zeller, Daniel McGrath, Louis Sass, Caitlyn Florentine, Jacob Downs

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A Comparative Study of the Proton Properties of Magnetospheric Substorms at Earth and Mercury in the Near Magnetotail by W. J. Sun, J. A. Slavin, R. M. Dewey, J. M. Raines, S. Y. Fu, Y. Wei, T. Karlsson, G. K. Poh, X. Jia, D. J. Gershman, Q. G. Zong, W. X. Wan, Q. Q. Shi, Z. Y. Pu, D. Zhao

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الاتجاهات الحديثة في تطبيقات الجيوماتكس في دراسات العمليات النهرية by منال سمير شلبى متولى

“…The world has witnessed a rapid change in the use of modern technologies in the study of river processes, through obtaining, collecting, storing, processing and displaying data. …”
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Practicality of training a quantum-classical machine in the noisy intermediate-scale quantum era by Tarun Dutta, Alex Jin, Clarence Liu Huihong, José Ignacio Latorre, Manas Mukherjee

“…Summary: Advancements in classical computing have propelled machine learning applications, yet inherent limitations persist in terms of energy, resource, and speed. …”
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Fault Location on Radial Distribution Systems Using Wavelets and Artificial Neural Networks with a New Data Processing Feature by NERI Jr., A. L., MOREIRA, F. A., de SOUZA, B. A.

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Definition of an 802.11 Interface Management Process in a Proposed System for Transmission Capacity Enhancement in Wireless Mesh Networks by Christian Köbel, Walter Baluja García, Joachim Habermann

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A Novel Framework for Quantum-Enhanced Federated Learning with Edge Computing for Advanced Pain Assessment Using ECG Signals via Continuous Wavelet Transform Images by Madankumar Balasubramani, Monisha Srinivasan, Wei-Horng Jean, Shou-Zen Fan, Jiann-Shing Shieh

“…Our research introduces a framework that integrates edge computing, quantum transfer learning, and federated learning to revolutionize pain level assessment through ECG signal analysis. …”
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Occurrence Rates of Accreting Companions from a New Method for Computing Emission-line Survey Sensitivity: Application to the Hα Giant Accreting Protoplanet Survey by Cailin Plunkett, Katherine B. Follette, Gabriel-Dominique Marleau, Eric L. Nielsen

“…In particular, the properties of accreting proto planets can inform the rates and physical processes of planet formation. We develop a novel method to compute sensitivity to protoplanets in emission-line direct-imaging surveys, enabling estimates of protoplanet population properties under various planetary accretion and formation theories. …”
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