Electroencephalography-Based Brain-Computer Interfaces in Rehabilitation: A Bibliometric Analysis (2013–2023) by Ana Sophia Angulo Medina, Maria Isabel Aguilar Bonilla, Ingrid Daniela Rodríguez Giraldo, John Fernando Montenegro Palacios, Danilo Andrés Cáceres Gutiérrez, Yamil Liscano

“…Ethical considerations, including data privacy, transparency, and equitable access to BCI technologies, must be prioritized to ensure the inclusive development and use of these technologies across diverse socioeconomic groups.…”
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Evaluation of Government Programmes on Enhancing the Lives of the Elderly: A Case Study of Social Assistance Grant for Empowerment in Mitooma District. by Natuha, Prossy

“…Different data collection tools like interview guide, and questionnaire were used. …”
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A Review of the Authentication Techniques for Internet of Things Devices in Smart Cities: Opportunities, Challenges, and Future Directions by Ashwag Alotaibi, Huda Aldawghan, Ahmed Aljughaiman

“…This study aims to identify gaps and propose future research directions to develop robust authentication frameworks that protect user privacy and data integrity.…”
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A Bibliometric Analysis on Federated Learning by Ersin Namlı, Yusuf Sait Türkan, Mesut Ulu, Ömer Algorabi

“…With the rapid advancement of technology and growing concerns about data privacy, federated learning (FL) has attracted considerable attention from the scientific community. …”
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A Comprehensive Survey of Deep Learning Approaches in Image Processing by Maria Trigka, Elias Dritsas

“…Metrics used for rigorous model evaluation are also discussed, underscoring the importance of performance assessment in varied application contexts. …”
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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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“Invisible wounds of childbirth”; women’s experiences of obstetric violence: a phenomenological qualitative study by Esra Özer, Döndü Sevimli Güler

“…The aim of this study is to investigate the feelings, thoughts and experiences of women who reported being exposed to obstetric violence at any stage of labor. Methods Data were collected using a constructivist qualitative research design. …”
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Access to information in the context of virtual space in the legal system of Iran and United States by Hedieh sadat Mirtorabi, Mojtaba Ansarian

“…In Iran, restrictions on access to information may reduce the spread of ideas and thoughts, ban potentially useful information, and cause problems in cultural development. …”
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Opportunities, challenges and development areas of chartered accountants in the Fourth Industrial Revolution by Chené Brands, Claude-Hélène Mayer, Rudolf M. Oosthuizen

“…Research approach/design and method: The research followed a qualitative approach to data collection and obtained the data through 14 semi-structured interviews. …”
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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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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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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

“…Managing antidepressant use in bipolar disorder is crucial due to the risk of the treatment-emergent affective switch (TEAS), where antidepressants can induce shifts from depression to mania or hypomania, a complex phenomenon influenced by genetics, neurobiology, and environment. …”
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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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ROBOTISATION AND SERVICE AUTOMATION IN THE TOURISM AND HOSPITALITY SECTOR: A META-STUDY (1993-2024) by Dušan MANDIĆ, Miroslav KNEŽEVIĆ, Dušan BOROVČANIN, Aleksandra VUJKO

“…Analyses 310 publications published in the last 32 years processed using Google Scholar search engine. The data sets used for the observations consist primarily of key research works, predominantly appearing in peer-reviewed international journals. …”
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A Survey on Hybrid-CNN and LLMs for Intrusion Detection Systems: Recent IoT Datasets by Saida Elouardi, Anas Motii, Mohammed Jouhari, Abdoul Nasser Hassane Amadou, Mustapha Hedabou

“…Various IDS methodologies, including those using Machine Learning (ML), Deep Learning (DL) and Large Language Models (LLMs), are employed to identify intrusions within the data; however, improvements to the detection systems are still needed. …”
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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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The Effect of Viral Promotional Advergames on the Behavioral Reactions by Mostafa Heidari Haratemeh

“…This research used data from pre-measure and post-measure assessments within a real viral marketing campaign. …”
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