Harnessing Generative AI in Higher Education: Opportunities, Challenges, and Ethical Imperatives by R. Ravichandran, P. Sasikala

“…The paper also interrogates key ethical concerns, such as academic integrity, data privacy, algorithmic bias, and equity, while analysing current government initiatives aimed at responsible AI adoption. …”
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Estimating the influence of accounting variables change on earnings management detection by Igor Pustylnick, Oksana Temchenko, Sergey Gubarkov

“…Neither of these two detection algorithms attempts to quantify earnings management and connect it with the infractions committed by the companies, charged by the regulator (in this case – U.S. …”
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Data Mining Classification Techniques for Diabetes Prediction by Hindreen Rashid Abdulqadir, Adnan Mohsin Abdulazeez, Dilovan Assad Zebari

“…The fact that disease recognition and investigation require many details, data mining plays a critical role in healthcare. This study aims to evaluate the efficiency of the methods used that are based on classification. …”
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From framing to emotion: evolving narratives in Ibero-American political mediatization (2008–2019) by Carlos Alberto Ramírez-Salina, Wilson Giovanni Jiménez-Barbosa, Favio Cala Vitery

“…The review also highlights the hybrid interaction between traditional and digital media, as well as the role of media narratives in shaping public opinion and institutional trust. …”
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Telemedicine in Diabetic Retinal Screening: Pre- and Post-COVID-19 Challenges a New Perspective by Arshi Baig, Azhar Zafar

“…The image analysis by AI and deep-learning algorithms offers insight into the future of screening in diabetes. …”
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Research on Credit Risk Prevention in Supply Chain Finance Driven by Blockchain by Lin Kejing

“…It will also detail the principles and characteristics of blockchain technology, including its decentralized architecture, encryption algorithms, resistance to tampering, smart contract functionalities, and more. …”
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Advanced thermal management with heat pipes in lithium-ion battery systems: Innovations and AI-driven optimization by Mehwish Khan Mahek, Mohamad Ramadan, Mohammed Ghazal, Fahid Riaz, Daniel S. Choi, Mohammad Alkhedher

“…This review examines the most recent BTMS that are based on HPs, with a particular emphasis on the role of artificial intelligence (AI) in optimizing thermal performance. …”
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Assessing Functional Connectivity Dynamics During Cognitive Tasks Involving the Dorsal Stream by Huifang E. Wang, Jorge Gonzalez-Martinez, Viktor Jirsa, Patrick Chauvel, F.-Xavier Alario, Catherine Liegeois-Chauvel

“…Our results reveal distinguishable functional connectivity patterns across various cognitive tasks using clustering algorithms. Furthermore, we were able to identify specific cognitive tasks based on their unique functional connectivity signatures, with a median of accuracy 0.91. …”
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Development and Validation of Early Alert Model for Diabetes Mellitus–Tuberculosis Comorbidity by Zhaoyang Ye, Guangliang Bai, Ling Yang, Li Zhuang, Linsheng Li, Yufeng Li, Ruizi Ni, Yajing An, Liang Wang, Wenping Gong

“…An early alert model was developed based on these three genes (AUC = 0.86, CI: 0.813–0.907), with a sensitivity of 0.80829 and a specificity of 0.75758 at a Youden index of 0.56587. …”
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Integrative analysis identifies FBXO5 as a critical mediator of CRPC progression and bone metastatic potential by Rajnikant Raut, Devesh Srivastava, Amit Kumar Chakraborty, Manish V. Bais, Parul Mishra, Ashish Misra

“…Emerging evidence suggests that E3 ubiquitin ligases play a key role in cancer progression, yet their involvement in CRPC remains poorly understood. …”
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Intelligent IoT Platform for Agroecology: Testbed by Naila Bouchemal, Nicola Chollet, Amar Ramdane-Cherif

“…Smart farming is set to play a crucial role in the sustainable transformation of agriculture. …”
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Machine learning models using non-invasive tests & B-mode ultrasound to predict liver-related outcomes in metabolic dysfunction-associated steatotic liver disease by Heather Mary-Kathleen Kosick, Chris McIntosh, Chinmay Bera, Mina Fakhriyehasl, Mohamed Shengir, Oyedele Adeyi, Leila Amiri, Giada Sebastiani, Kartik Jhaveri, Keyur Patel

“…We aimed to evaluate machine learning (ML) algorithms based on simple NIT and US for prediction of adverse liver-related outcomes in MASLD. …”
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Wavelets, approximation, and comperssion by Sarkout Abdi, Aram Azizi, Mahmoud Shafiei, Jamshid Saeidian

“…Over the last decade or so, wavelets have had a growing impact on signal processing theory and practice, both because of their unifying role and their successes in applications. Filter banks, which lie at the heart of wavelet-based algorithms, have become standard signal processing operators, used routinely in applications ranging from compression to modems. …”
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Emotional Dynamics in Human–Machine Interactive Systems: Effectively Measuring Kuhn Poker Approach with Experimental Validation by Haoran Yang, Shu Liang

“…Using Kuhn poker as an experimental context, we developed an intelligent decision support system based on Counterfactual Regret Minimization algorithms to provide real-time strategic advice to participants. …”
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Application of artificial intelligence in electrochemical diagnostics for human health by Koushlesh Ranjan, Basanti Barar, Minakshi Prasad, Gaya Prasad

“…Biosensor based technology faces numerous challenges including signal complexity, noise, data interpretation, etc. …”
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Legal Analysis of AI-Generated Creations: Copyright Law Perspectives by Praja Chrisna Bagus Edhita, Hakim Hary Abdul, Basri, Kurniaty Yulia, Sari Elvira Purnama

“…Legal analysis shows that AI is just a computer programming tool that performs tasks based on human commands. AI uses algorithms and computer training for recognition, prediction, and decision-making. …”
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Deep learning for malignant lymph node segmentation and detection: a review by Wenxia Wu, Adrien Laville, Eric Deutsch, Roger Sun

“…In recent years, deep learning-based automatic segmentation has gained increasing attention, leading to a proliferation of scholarly works on OAR and tumor segmentation algorithms utilizing deep learning techniques. …”
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Artificial intelligence in academic research: Benefits, challenges, and ethical dimensions in doctoral studies by Zaki EL HANI, Jaouad KARROUM, Abdelmajid ELOUADI, Aniss MOUMEN

“…Additionally, disparities in institutional support and training exacerbate inequities, leaving some researchers unable to fully leverage these technologies. Based on qualitative insights from 41 doctoral students across diverse disciplines, this study employs thematic analysis and aligns findings with the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to provide a nuanced perspective on AI's role in academia. …”
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Advancements in Remote Sensing for Monitoring and Risk Assessment of Glacial Lake Outburst Floods by Serik Nurakynov, Nurmakhambet Sydyk, Zhaksybek Baygurin, Larissa Balakay

“…Through a Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA)-guided systematic literature review and bibliometric analysis of studies from 2010 to 2025, we evaluate the transformative role of remote sensing in overcoming traditional field-based limitations. …”
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Balancing tech and humanity by Linda Cottone

“…As threats like cyber insecurity and AI-based decision-making rise, the role of both state and non-state actors becomes essential in safeguarding rights while managing migration. …”
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