Development of a mobile health application for epilepsy self-management: Focus group discussion and validity of study results by Iin Ernawati, Nanang Munif Yasin, Ismail Setyopranoto, Zullies Ikawati

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Residue super-resolution convolutional neural network based complexity reduction for H.266 VVC intra-coding by A Dhanalakshmi, L Balaji, C Raja, Jayant Giri, Mubarak Alrashoud

“…The experiments demonstrate a substantial time savings of 40 % in encoding with BDBR coding gains of 4.2 %, and 2.9 % in AI and RA configurations respectively.…”
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Working conditions of commercial drivers: a scoping review of psychosocial work factors, health outcomes, and interventions by Mustapha Amoadu, Jacob Owusu Sarfo, Edward Wilson Ansah

“…Poor management of these factors can create precarious working conditions, risking drivers’ health. …”
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Electricity Market Transformation in the Renewable Energy Era: A Systematic Review by Chunni Dai

“…However, misalignment between renewable subsidies and carbon pricing strategies can create unintended market distortions. The study highlights the need for AI-driven forecasting models to improve price predictability and calls for longitudinal analyses to assess the evolving cost-benefit dynamics of decentralized energy adoption. …”
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A comprehensive systematic review of intrusion detection systems: emerging techniques, challenges, and future research directions by Arjun Kumar Bose Arnob, Rajarshi Roy Chowdhury, Nusrat Alam Chaiti, Sudipta Saha, Ajoy Roy

“…This research also highlights the success of models such as Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Explainable AI (XAI) in improving detection accuracy as well as computational efficiency and interoperability. …”
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Neurological benefits of third places for young adults in healthy urban environments by Leiqing Xu, Dancheng Meng, Shin Bin Tan, Jiahua Li, Xiaolin Zhang

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Seismic rockfall risk assessments and mitigation strategies for transportation infrastructure in high-risk regions by Kelechi Nnaji Eze, Oluwadamilare Olamide Ilesanmi, Godspower Charles Igah, Adefemi Quddus Abidola, Fega Eric Ojefia, Adedamola Martins Adekoya

“…Abstract Infrastructure-sustaining transportation networks face substantial risk from seismic rockfalls in high-seismic zones because these incidents create barriers to roads and railways while damaging tunnels. …”
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LuxS quorum sensing system and biofilm formation of oral microflora: A short review article by Abdurahman A. Niazy

“…One approach being used is inhibiting AI-2 intermediates which leads to lack of quorum sensing communication between bacteria through the use of intermediate analogues. …”
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Enhancing cybersecurity resilience through advanced red-teaming exercises and MITRE ATT&CK framework integration: A paradigm shift in cybersecurity assessment by Semi Yulianto, Benfano Soewito, Ford Lumban Gaol, Aditya Kurniawan

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Exploring VR and Neuroscience Methodologies in Interior Design: A Systematic Review by Yasemin Albayrak-Kutlay, Murat Bengisu

“…Future research should prioritize deeper insights into human–environment interactions through artificial intelligence (AI), machine learning (ML), and biometric sensors integrated with IVR technologies. …”
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A fuzzy multi-criteria model with Pareto analysis for prioritizing sustainable supply chain barriers in the textile industry: Evidence from an emerging economy by Mohammad Rafiqur Rashid, Sourav Kumar Ghosh, Md. Fahim Bin Alam, Mohammad Faizur Rahman

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Unmanned Aerial Vehicle Photogrammetry Based Dataset of Halophyte Distribution in Jujin Estuary by Donguk Lee, Yeongjae Jang, Joo-Hyung Ryu, Hyeong-Tae Jou, Keunyong Kim

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A Machine Learning-Enabled System for Crop Recommendation by Pedina Sasi Kiran, Gembali Abhinaya, Smaraneeka Sruti, Neelamadhab Padhy

“…<b>Context:</b> We are advancing our efforts in agriculture by creating a crop prediction system with the help of machine learning. …”
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The impact of artificial intelligence on medical diagnostics: A letter to the editor by Sahar Imtiaz, Sheikh Abdul Qadir Jillani

“… Madam, Artificial intelligence (AI) describes the generation of intelligent machines that are capable of carrying out activities that usually call for human intellect. (1) It involves creating algorithms and models that enable computers to learn from and analyze vast amounts of data, recognize patterns, make decisions, and even engage in natural language processing…”
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Artificial intelligence in gynecologic and obstetric emergencies by Hassan M. Elbiss, Fikri M. Abu-Zidan

“…Creating interconnected data registries for AI will likely enhance its performance. …”
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CO39 | Artificial intelligence in hemophilia management: challenging the need for experts

“…This study aimed to evaluate the diagnostic and therapeutic accuracy of five AI models (ChatGPT (OpenAI), Gemini (Google), Copilot (Microsoft), DeepSeek AI and Perplexity AI) in responding to fundamental knowledge-based questionnaires on hemophilia and complex clinical scenarios. …”
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Artificial Intelligence in Neoplasticism: Aesthetic Evaluation and Creative Potential by Su Jin Mun, Won Ho Choi

“…The purpose of the research is to assess whether AI can produce artworks that meet aesthetic standards comparable to human-created works. …”
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Artificial intelligence-generated images in skin cancer education: an experimental study by Jevan Cevik, Ishith Seth, Warren M Rozen

“…Images created by Midjourney and BlueWillow had exaggerated fictionalised features that the authors deemed not appropriate for clinical education and could not be analysed by AI Dermatologist. …”
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Collaborative Intelligence: A Scoping Review Of Current Applications by Emma Schleiger, Claire Mason, Claire Naughtin, Andrew Reeson, Cecile Paris

“…This complementarity creates the potential to achieve a step-change in performance by combining inputs from human and AI on a common task. …”
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Concept of Artificial Intelligence-oriented Public Health Model in Cancer Care by Ivashchuk Oleksandr, Hovornyan Serhiy

“…Although Artificial Intelligence (AI) is increasingly applied in healthcare, particularly for tasks like image recognition and big data analysis, we advocate for an AI-centric public health model tailored to comprehensive cancer care. …”
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