DIGITAL TRANSFORMATION POLICIES TO DEVELOP AN EFFECTIVE ECOSYSTEM: THE CASE OF UKRAIN by Alisa S. Mahdich, Oleksandr A. Zadoia

“…The Government of Ukraine has launched a number of initiatives aimed at creating opportunities for the development of the domestic ecosystem of innovations, information and communication technologies (ICT) and startups, among which such promising and ambitious projects as: “E-residency” (creating conditions for non-residents to conduct business in Ukraine without a physical presence on its territory), “Diia.City” (a unique legal and tax space for IT business in Ukraine, which aims to give companies and startups effective tools for intensive development, scaling and capitalization), an online platform of the current status of the Ukrainian IT ecosystem (will provide an opportunity to search for business information about IT companies, professionals, investors and, in general, the entire technological ecosystem of Ukraine), development of the Concept of the Development of Artificial Intelligence in Ukraine (covers 9 fields: education and science, economy, cyber security, information security, defense, public administration, legal regulation, justice) and others. …”
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Opera Third Bullet by Vojislav Vučković, or how would ChatGPT do on the Musicology Exam? by Milan Milojković

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Implementation of artificial intellect for bird pest species detection and monitoring by Elena V. Shapetko, Vasiliy V. Belozerskikh, Valery D. Siokhin

“…This study aimed to develop a real-time method for detecting and selecting birds in video images using artificial intelligence. The objectives included creating a reliable method for isolating bird signals against varying terrain backgrounds using neural networks, estimating bird numbers in frames through AI-driven threshold techniques, and proposing a solution for managing pest bird populations by analyzing video data to control electronic deterrents. …”
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Infrastructure Lifecycle Corrosion Management Using AI Analytics and Digital Twins by Bilal Ayyub, Karl Stambaugh

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The role of large language models (AI chatbots) in fire engineering: An examination of technical questions against domain knowledge by Haley Hostetter, M.Z. Naser, Xinyan Huang, John Gales

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Development of Robot Journalism Application: Tweets of News Content in the Turkish Language Shared by a Bot by Hikmet Tosyalı, Çiğdem Aytekin

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AeroRunway: Diverse Weather and Time of Day Aerial Dataset for Autonomous Landing Training by Ali Berkol, Nergis Pervan Akman, Nesil Bor

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General Mathematical Principles for Determining the Engineering Concept of Apartment Buildings Based on Expert Analytical Methods and Decision Support Systems by Alexander A. Merkulov, Ivan V. Stepanyan

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Designing Digital Escape Rooms with Generative AI in University Contexts: A Qualitative Study by Paula Rodríguez-Rivera, José M. Rodríguez-Ferrer, Ana Manzano-León

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Evaluating AI performance in nephrology triage and subspecialty referrals by Priscilla Koirala, Charat Thongprayoon, Jing Miao, Oscar A. Garcia Valencia, Mohammad S. Sheikh, Supawadee Suppadungsuk, Michael A. Mao, Justin H. Pham, Iasmina M. Craici, Wisit Cheungpasitporn

“…Abstract Artificial intelligence (AI) has shown promise in revolutionizing medical triage, particularly in the context of the rising prevalence of kidney-related conditions with the aging global population. …”
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<i>ChatGPT Told Me to Say It:</i> AI Chatbots and Class Participation Apprehension in University Students by Daisuke Akiba

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Application of business analysis tools in company management by A. Yu. Orlova, A. A. Sorokin, D. G. Lovyannikov

“…The obtained results indicate that the impact of business intelligence with the ability to predict data on the performance of the organization is completely indirect and, therefore, the business value of business intelligence can be created through the use of common terminology and methodologies, as well as close interaction between experts, managers and a business analytics and data scientist team. …”
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A Novel Deep Learning Approach for Precision Agriculture: Quality Detection in Fruits and Vegetables Using Object Detection Models by Enoc Tapia-Mendez, Misael Hernandez-Sandoval, Sebastian Salazar-Colores, Irving A. Cruz-Albarran, Saul Tovar-Arriaga, Luis A. Morales-Hernandez

“…These findings highlight the potential of DL models for real-world agricultural applications, as they facilitate timely quality assessment and contribute to the development of intelligent solutions.…”
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A Survey on Computational Methods in Drug Discovery for Neurodegenerative Diseases by Caterina Vicidomini, Francesco Fontanella, Tiziana D’Alessandro, Giovanni N. Roviello

“…However, the absence of comprehensive guidelines regarding the strengths and weaknesses of alternative approaches creates a fragmented and disconnected field, resulting in missed opportunities to enhance performance and achieve successful applications. …”
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Neural networks in oncourology by M. P. Korchagin, A. V. Govorov, A. O. Vasilyev, I. O. Gritskov, D. Yu. Pushkar

“…Introducing neural networks into oncourological practice creates new opportunities for enhancing the work of healthcare organisations and improving the quality of care provided to patients. …”
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The Future Role of Medical Teachers as Influencers by Mohamed Mostafa Al-Eraky

“… In an era shaped by artificial intelligence (AI), digital transformation, and globalisation, the future of medical education is marked by uncertainty—but also by opportunity. …”
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Emerging technologies in finance: challenges for a sustainable finance by Dhouha Nefla, Sana Jellouli

“…Emerging technologies, such as artificial intelligence (AI), blockchain, and fintech, have profoundly reshaped the financial sector driving unprecedented innovation and creating transformative opportunities for development. …”
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Automated surgical skill assessment in endoscopic pituitary surgery using real‐time instrument tracking on a high‐fidelity bench‐top phantom by Adrito Das, Bilal Sidiqi, Laurent Mennillo, Zhehua Mao, Mikael Brudfors, Miguel Xochicale, Danyal Z. Khan, Nicola Newall, John G. Hanrahan, Matthew J. Clarkson, Danail Stoyanov, Hani J. Marcus, Sophia Bano

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From intention to perception: emotional processes as a link between intended and perceived leadership styles by Rosa Mindeguia, Aitor Aritzeta, Alaine Garmendia, Amaiur Olarza

“…These findings advance our understanding of how leaders’ emotional skills and group affect contribute to creating more transformational leadership processes.…”
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Energy-Aware Machine Learning Models—A Review of Recent Techniques and Perspectives by Rafał Różycki, Dorota Agnieszka Solarska, Grzegorz Waligóra

“…Furthermore, deploying ML to streamline energy use in other domains like industry and transportation amplifies these benefits, creating a ripple effect of positive environmental outcomes. …”
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