The Impact of the EU Enlargement on the Speed of Decision-Making by Nikolai Yu. Kaveshnikov, Alexey O. Domanov

“…This paper presents a quantitative empirical study of the impact of the EU enlargements in 1995 and 2004 on the speed of the decision-making process (legislative process). The research is based on two methods: interrupted time series analysis and survival analysis (Cox model). …”
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Characterizing the Broadband Reflection Spectrum of MAXI J1803-298 during Its 2021 Outburst with NuSTAR and NICER by Oluwashina K. Adegoke, Javier A. García, Riley M. T. Connors, Yuanze Ding, Guglielmo Mastroserio, James F. Steiner, Adam Ingram, Fiona A. Harrison, John A. Tomsick, Erin Kara, Missagh Mehdipour, Keigo Fukumura, Daniel Stern, Santiago Ubach, Matteo Lucchini

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The Transformative Influence of Artificial Intelligence on Supply Chain Management by Tarihal Balakrishna, Kaliwal Rohit, Ammanagi Ashok

“…RPA involves automating rulebased processes, thus allowing employees to focus on more complex tasks, while autonomous systems, including drones and self-driving vehicles, enhance supply chain management by increasing the speed and reducing A combination of qualitative data collected through interviews and surveys and quantitative data collected through case studies and industry reports was used. …”
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Modified water balance model for groundwater recharge estimations using cloud integration by Arup Kumar Das, Saurabh Kumar Gupta, Suraj Kumar Singh, Pradeep Kumar Rawat, Shruti Kanga

“…This is conspicuous over areas like West Bengal, India, which face natural and manmade water resource challenges. …”
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Thematic Analysis of Iranian Medical Library and Information Theses and Dissertations: Applying Text Mining Techniques by Shadi Asadzandi, Atieh Sadat Hosseini Ghahjavarestani

“…However, a gap exists in addressing issues like AI and big data. Limited collaboration and data hindered the research scope, suggesting that future studies should explore faculty and student topic selection interests.…”
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Enhancing Knowledge Management in Healthcare: An Embedding Fusion Approach to Business Rule Representation by Braeden Berg, Mukundan Agaram, Shikha Mohindra, Abhinav Nadh Thirupathi

“…In this study, we present an embedding fusion technique using unsupervised Natural Language Processing (NLP) to represent business rules as semantic vectors by incorporating multiple text data sources for each rule. …”
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Partial Discharge-Based Cable Vulnerability Ranking with Fuzzy and FAHP Models: Application in a Danish Distribution Network by Mohammad Reza Shadi, Hamid Mirshekali, Hamid Reza Shaker

“…Due to the absence of an established ranking methodology for such condition-based data, this paper proposes a fuzzy logic and fuzzy analytic hierarchy process (FAHP)-based cable vulnerability ranking framework that effectively manages uncertainty and expert-based conditions. …”
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Generalizable Storm Surge Risk Modeling by Mahlon Scott, Hsin-Hsiung Huang

“…Inspired by principles of robust statistical modeling, this paper introduces a Bayesian hierarchical model integrated with Gaussian processes to account for spatial random effects. This approach enhances the precision of long return period storm surge estimates and enables the seamless generalization of predictions to nearby unmonitored coastal regions, much like the way advanced Bayesian frameworks are applied to high-dimensional neuroimaging or spatiotemporal data, bridging gaps between observations and uncharted territories.…”
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JWST/MIRI Observations of Newly Formed Dust in the Cold, Dense Shell of the Type IIn SN 2005ip by Melissa Shahbandeh, Ori D. Fox, Tea Temim, Eli Dwek, Arkaprabha Sarangi, Nathan Smith, Luc Dessart, Bryony Nickson, Michael Engesser, Alexei V. Filippenko, Thomas G. Brink, WeiKang Zheng, Tamás Szalai, Joel Johansson, Armin Rest, Schuyler D. Van Dyk, Jennifer Andrews, Chris Ashall, Geoffrey C. Clayton, Ilse De Looze, James M. DerKacy, Michael Dulude, Ryan J. Foley, Suvi Gezari, Sebastian Gomez, Shireen Gonzaga, Siva Indukuri, Jacob Jencson, Mansi Kasliwal, Zachary G. Lane, Ryan Lau, David Law, Anthony Marston, Dan Milisavljevic, Richard O’Steen, Justin Pierel, Matthew Siebert, Michael Skrutskie, Lou Strolger, Samaporn Tinyanont, Qinan Wang, Brian Williams, Lin Xiao, Yi Yang, Szanna Zsíros

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Digital 3D reconstructions of synagogues for an innovative approach on Jewish architectural heritage in East Central Europe by Jan Lutteroth, Piotr Kuroczyński, Igor Piotr Bajena

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An Improved Kernel Entropy Component Analysis for Damage Detection Under Environmental and Operational Variations by Shuigen Hu, Jian Yang, Jiezhong Huang, Dongsheng Li, Cheng Li

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Monitoring of Nutrients, Metabolites, IgG Titer, and Cell Densities in 10 L Bioreactors Using Raman Spectroscopy and PLS Regression Models by Morandise Rubini, Julien Boyer, Jordane Poulain, Anaïs Berger, Thomas Saillard, Julien Louet, Martin Soucé, Sylvie Roussel, Sylvain Arnould, Murielle Vergès, Fabien Chauchard-Rios, Igor Chourpa

“…Chemometric analysis enhances model robustness, supporting automated control systems. Raman data could enable continuous feedback regulation of critical nutrients like glucose, ensuring consistent critical quality attributes (CQAs) in biopharmaceutical production.…”
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University students' self-regulation in standard and enforced online language learning by Jakub Przybył, Sebastian Chudak

“… Since new learning environments are believed to affect student motivation and cognition, and thus, have a huge impact on the processes underlying self-regulated learning, the transition to online learning due to the COVID-19 pandemic is likely to have challenged students’ ability to remain in charge of the learning process. …”
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Surrogate‐Model Assisted Plausibility‐Check, Calibration, and Posterior‐Distribution Evaluation of Subsurface‐Flow Models by Jonas Allgeier, Olaf A. Cirpka

“…We expedite the calibration of such models by using surrogate/proxy models based on Gaussian Process Regression (GPR). In an iterative procedure, we use the proxy models to (a) estimate the direction of steepest descent, (b) propose only parameter combinations for full‐model runs that are likely to lead to plausible results, and (c) preselect proposed parameter combinations by their predicted performance. …”
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LAYERED DEFENSE IN COMMUNICATION SYSTEMS: JOINT USE OF VPN PROTOCOLS AND LINEAR BLOCK CODES by Vladyslav Sharov, Olena Nikulina

“…The results underscore the importance of a comprehensive approach to secure data transmission that jointly addresses logical security threats and physical-level vulnerabilities.…”
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Artificial Intelligence Driven Accounting: Benefits, Risks, And The Road Ahead by Kale Nilesh

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Weight-based multi-stream model for Multi-Modal Video Question Answering by Mohith Rajesh, Sanjiv Sridhar, Chinmay Kulkarni, Aaditya Shah, Natarajan S

“…Video Question Answering is a model which combines research topics like object detection and recognition, temporal information processing, visual attention, and natural language processing. …”
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Geoinformatics and hydrogeophysical-based delineation of groundwater potential zone through surface and subsurface indicators by Usman Basharat, Wenjing Zhang, Arshad Abbasi, Sehrish Mahroof, Abrar Niaz, Shoukat Husain Khan

“…The generated map was validated using data from 30 existing water wells and springs and 50 geophysical data points derived from vertical electrical sounding. …”
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Information-extreme machine learning of wrist prosthesis control system based on the sparse training matrix by Suprunenko M. K., Zborshchyk O. P., Sokolov O.

“…However, unlike neuro-like structures, the proposed method was developed within a functional approach to modeling the cognitive processes of the natural intelligence of forming and making classification decisions. …”
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Predictive modeling of punchouts in continuously reinforced concrete pavement: a machine learning approach by Ghazi Al-Khateeb, Ali Alnaqbi, Waleed Zeiada

“…By employing the random forest algorithm, key predictors like age, climate zone, and total thickness are identified. …”
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