Digital Newsroom Transformation: A Systematic Review of the Impact of Artificial Intelligence on Journalistic Practices, News Narratives, and Ethical Challenges by Alem Febri Sonni, Hasdiyanto Hafied, Irwanto Irwanto, Rido Latuheru

“…The key findings show a significant increase in the use of AI for news writing automation (73% of news organizations), data analysis (68%), and content personalization (62%). …”
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Self-Regulation of Internet Behaviors on Social Media Platforms by Clara B. Rebello, Kiana L. C. Reddock, Sonia Ghir, Angelie Ignacio, Gerald C. Cupchik

“…The current research sought a comprehensive understanding about the consequences of information-sharing behavior on social media, given public concerns about privacy violations. We used a mixed-methods approach to investigate the influence of the self on “revealing” and emotional “healing” experiences online. …”
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A Comparative Analysis of Blockchain-Smart Contracts-ERP Integration Strategies for Supply Network (SN) Collaboration by Goknur Arzu Akyuz, Omer Ileri

“…After identifying main configuration dimensions of privacy setting (public/private/consortium), smart contract utilization for business logic implementation (full/none) and degree of transactional data decentralization (full/only critical data/none), 18 deployment scenarios are developed for advanced SN collaboration. …”
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Mobile robot navigation path algorithm in 3d industrial internet of thing (iot) environment based on 5g mobile communication by Pei Ping, Yu. N. Petrenko

“…Each of industrial IoT as service domains has its own communication requirements that are measured differently in both such as reliability, Quality of service (QoS), and privacy. According to the development of industrial automation, the industrial Internet of things (IoT) is widely used in smart factories to capture the data and manage the production. …”
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Potential and Legal Challenges of the Metaverse for Environmental Awareness and Sustainability in Nigeria: A Comparative Analysis with Singapore by Paul Atagamen Aidonojie, Toyin Afolabi Majekodunmi, Eregbuonye Obieshi, Omolola Janet Adeyemi-Balogun

“…A total of 304 questionnaires were distributed to Nigerian respondents, and data were analyzed using descriptive and analytical methods. …”
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Generative AI for Industry 5.0: Analyzing the Impact of ChatGPT, DALLE, and Other Models by Siva Sai, Revant Sai, Vinay Chamola

“…The paper scrutinizes the multifaceted use-cases of GAI, emphasizing its instrumental function in amplifying operational efficiency, minimizing downtime, and fostering economic savings through predictive maintenance and acute real-time data analytics. …”
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Treatment-emergent Affective Switch: A Case Series Study by Jesvin L Johnson, M Shashwath Sathyanth, Anil Kakunje

“…These data provide insights into the occurrence and management of TEAS in bipolar affective disorder. …”
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AI Chatbots in Education: Challenges and Opportunities by Narius Farhad Davar, M. Ali Akber Dewan, Xiaokun Zhang

“…Educators can leverage such chatbots to create course content, generate assessments, evaluate student performance, and utilize them for data analysis and research. However, this technology presents significant challenges concerning data security and privacy. …”
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Verifiable Key-Aggregate Searchable Encryption Scheme for Fog-Based Internet of Autonomous Vehicles by Sultan Basudan, Abdulrahman Alamer

“…The fog-based Internet of Autonomous Vehicles (FB-IAV) collects extensive sensing data to enhance its understanding of the environment. …”
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AI in Structural Health Monitoring for Infrastructure Maintenance and Safety by Vagelis Plevris, George Papazafeiropoulos

“…We examine seven core areas where AI significantly advances SHM capabilities: (1) data acquisition and sensor networks, highlighting improvements in sensor technology and data collection; (2) data processing and signal analysis, where AI techniques enhance feature extraction and noise reduction; (3) anomaly detection and damage identification using machine learning (ML) and deep learning (DL) for precise diagnostics; (4) predictive maintenance, using AI to optimize maintenance scheduling and prevent failures; (5) reliability and risk assessment, integrating diverse datasets for real-time risk analysis; (6) visual inspection and remote monitoring, showcasing the role of AI-powered drones and imaging systems; and (7) resilient and adaptive infrastructure, where AI enables systems to respond dynamically to changing conditions. …”
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SCRHM: A Secure Continuous Remote Health Monitoring System by Qiuxiang Dong, Zhi Guan, Kunlun Gao, Zhong Chen

“…With this scheme, remote health monitoring service provider is able to detect outliers over encrypted health parameters. Using analysis, we prove the correctness and security of the proposed scheme on privacy protection of users’ health data. …”
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FLavourite: Horizontal and Vertical Federated Learning Setting Comparison by Walter Riviera, Ilaria Boscolo Galazzo, Gloria Menegaz

“…We assess the classification of Alzheimer’s disease using non-independent and identically distributed (non-i.i.d.) 3D images and tabular data. …”
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AML-Based Multi-Dimensional Co-Evolution Approach Supported by Blockchain: Architecture Design and Case Study on Intelligent Production Lines for Industry 4.0 by Kai Ding, Detlef Gerhard, Liuqun Fan

“…As a transparent decentralized network, blockchain’s compatibility with the challenges of AML collaboration processes, data security, and privacy is not ideal. This paper proposes a new method to enhance the collaborative evolution of IPLs. …”
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Cross-device federated unsupervised learning for the detection of anomalies in single-lead electrocardiogram signals. by Maximilian Kapsecker, Stephan M Jonas

“…<h4>Background</h4>Federated unsupervised learning offers a promising approach to leveraging decentralized data stored on consumer devices, addressing concerns about privacy and lack of annotation. …”
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Revolutionising Educational Management with AI and Wireless Networks: A Framework for Smart Resource Allocation and Decision-Making by Christos Koukaras, Euripides Hatzikraniotis, Maria Mitsiaki, Paraskevas Koukaras, Christos Tjortjis, Stavros G. Stavrinides

“…By leveraging data-driven insights enabled by reliable wireless connectivity, institutions can make more informed decisions, use resources more effectively, and automate routine tasks. …”
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Emerging technologies and applications in multimodality imaging for ischemic heart disease: current state and future of artificial intelligence by Praveen Kumar Chandra Sekar, Ramakrishnan Veerabathiran

“…Addressing regulatory and ethical challenges, such as data privacy and algorithm transparency, is crucial for the broader adoption of these advanced technologies. …”
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The moderating role of personalized recommendations in the trust–satisfaction–loyalty relationship: an empirical study of AI-driven e-commerce by Noha Hassan, Mohamed Abdelraouf, Dina El-Shihy

“…Design/methodology/approach A quantitative research approach was used to collect data from a diverse group of e-commerce users who had interacted with AI-based recommendation systems. …”
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A Review of Multimodal Interaction in Remote Education: Technologies, Applications, and Challenges by Yangmei Xie, Liuyi Yang, Miao Zhang, Sinan Chen, Jialong Li

“…Though multimodal communication may bring a historical improvement to the mode of online education, the platform still faces many issues, such as media synchronization, higher computational demand, physical adaptability, and privacy concerns. These problems demand further research in the fields of algorithm optimization, access to technology guidance, and the ethical use of big data. …”
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Unleashing the Power of Wireless Communication in Healthcare by Empowering Patient Care and Connectivity: A Comprehensive Survey by Urvashi Chaudhary, Mohammad Furqan Ali, Ambrish Kumar, Abhishek Sharma, Dushantha K. Nalin Jayakody

“…These challenges and opportunities include data security and privacy issues, as well as the need for a robust communication infrastructure. …”
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Assessing the transferability of BERT to patient safety: classifying multiple types of incident reports by Ying Wang, Farah Magrabi

“…For ambiguous medium and low severity levels, the F-score improvements ranged from 3.6% to 19.7% across all test datasets.Discussion Fine-tuned BERT led to improved performance, particularly in identifying rare classes and generalising effectively to unseen data, compared with small CNNs.Conclusion Fine-tuned BERT may be useful for classification tasks in patient safety where data privacy, scarcity and imbalance are common challenges.…”
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