Enhancing cybersecurity through autonomous knowledge graph construction by integrating heterogeneous data sources by Hatoon Alharbi, Ali Hur, Hasan Alkahtani, Hafiz Farooq Ahmad

“…In our research, we construct a cybersecurity knowledge graph (CKG) autonomously using heterogeneous data sources. We further enhance the CKG by applying logical rules and employing graph analytic algorithms. …”
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Perlindungan Data Pribadi Konsumen Oleh Penyelenggara Sistem Elektronik Dalam Transaksi Digital by Rista Maharani, Andria Luhur Prakoso

“…In the field of digital economic transactions, the significance of personal data is increasing, driven by the widespread use of big data. …”
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Big Data and AI Algorithms for Sustainable Development Goals: A Topic Modeling Analysis by Prema Nedungadi, Simi Surendran, Kai-Yu Tang, Raghu Raman

“…Using BERTopic modeling, a machine learning technique, this research systematically analyzes literature from 2013 to 2024, providing an overview of AI and big data applications mapped to SDGs which is a first. …”
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Big Data–Driven Health Portraits for Personalized Management in Noncommunicable Diseases: Scoping Review by Haoyang Du, Jianing Yu, Dandan Chen, Jingjie Wu, Erxu Xue, Yufeng Zhou, Xiaohua Pan, Jing Shao, Zhihong Ye

“…In terms of volume, structured data were widely used (64.29%-100% depending on portrait type), while unstructured data usage varied significantly (19.05%-93.33%). …”
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Design of an improved graph-based model for real-time anomaly detection in healthcare using hybrid CNN-LSTM and federated learning by G Muni Nagamani, Chanumolu Kiran Kumar

“…This system processes over 100,000 messages per second with less than 50 ms of inference latency to enable the prompting of clinical responses. We use Federated Learning combined with Differential Privacy to solve our data security and privacy tasks. …”
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Contribution and legacy: a qualitative study of older people’s attitudes about sharing their routinely collected health data for research purposes in New Zealand by Engelina Groenewald, Jasmine Appleton, Brendan Hallam, Cristian Gonzalez-Prieto, Susan Yates, Daniel Wilson, Gillian Dobbie, Rosie Dobson, Sarah Cullum

“…Data were analysed using thematic analysis. Results Themes identified were: 1) Benefits: participants believed that there were benefits to sharing their health data such as helping others, improving health services, advancing scientific knowledge, and giving back to the health system; sharing health data was also seen as a reflection of good character, and people felt that their pre-existing views about whether they wished to share health data should be respected even if they were no longer able to consent. 2) Concerns: participants had concerns about sharing data with private companies, the use of inaccurate data, and the potential personal and societal consequences of sharing health data. 3) Expectations: participants encouraged collaboration between institutions in New Zealand, but expected data privacy to be maintained, processes to be transparent and cultural values around data to be respected; there was an expectation those sharing health data (patients or institutions) should benefit from any private sector gains. …”
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From intensive care monitors to cloud environments: a structured data pipeline for advanced clinical decision supportResearch in context by Sijm H. Noteboom, Eline Kho, Maria Galanty, Clara I. Sánchez, Frans C.P. ten Bookum, Denise P. Veelo, Alexander P.J. Vlaar, Björn J.P. van der Ster

“…The feasibility of the pipeline will be demonstrated with the available data through research and clinical use cases. Furthermore, privacy, safety, data quality, and environmental impact are carefully considered in the cloud storage transition. …”
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Precision Oncology Program (POP), an observational study using real-world data and imaging mass cytometry to explore decision support for the Molecular Tumor Board: study protocol by Charles Lu, Andreas Wicki, Shemra Rizzo, Dominik Glinz, Eva Camarillo-Retamosa, Laura Amanda Boos, Christian Doerig, Gabriele Gut, Nicola Miglino, Luis Fábregas Ibáñez, Charlotta Schärfe Fruechtenicht, Nandini Chitale, Martin Zoche, Bernd Bodenmiller, Stephane Chevrier, Alexandra Sophia Eklund, Marta Nowak, Sepehr Rahmani Khajouei, Carmen Galani Berardo, Lukasz Kaczmarek, Karin Bosshard, William Archey, Matthias Bodmer, Chiara Louisa Hempel, Parisa Rahimzadeh, Benedict Gosztonyi, Ulrich Richter, Lorenz Bankel

“…In this case, a signed general consent form must be available. Data privacy is ensured by unique patient numbers for pseudo-anonymised data. …”
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Barriers impeding research data sharing on chronic disease prevention among the older adults in low-and middle-income countries: a systematic review by Neema Florence Vincent Mosha, Patrick Ngulube

“…A PRISMA flow chart was used to map out the number of studies that were identified, included, and excluded.ResultsFive main barriers were consistently highlighted, including a lack of necessary resources (9, 69%), dealing with complex and sensitive research data (2,15%), lack of policies, procedures, guidelines (5,38%), medical big data processing and integration (2,15%), and inadequate ethical considerations, legal compliance, and privacy protection (6,46%). …”
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Transforming physical fitness and exercise behaviors in adolescent health using a life log sharing model by Shanshan Wang, Jingwu Liu

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The impact of algorithm awareness training on competent interaction with intelligent voice assistants by André Markus, Maximilian Baumann, Jan Pfister, Andreas Hotho, Astrid Carolus, Carolin Wienrich

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SHARED DECISION MAKING AND AI ROLE IN NON-FINANCIAL PERFORMANCE: EXPLORING MODERATING ROLE OF TOP MANAGEMENT SUPPORT AND SECURITY by Mohammed A. Al-Doghan, Shaxnoza Abdulhaeva

“… This research investigates the effect of shared decision-making on non-financial performance, with specific attention to the mediating effect of using AI and the moderation effects of security and privacy concerns and top management support. …”
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Data stewardship and curation practices in AI-based genomics and automated microscopy image analysis for high-throughput screening studies: promoting robust and ethical AI applicat... by Asefa Adimasu Taddese, Assefa Chekole Addis, Bjorn T. Tam

“…However, these advancements generate vast datasets requiring effective data stewardship and curation practices to maintain data integrity, privacy, and accessibility. …”
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SHARED DECISION MAKING AND AI ROLE IN NON-FINANCIAL PERFORMANCE: EXPLORING MODERATING ROLE OF TOP MANAGEMENT SUPPORT AND SECURITY by Mohammed A. Al-Doghan, Shaxnoza Abdulhaeva

“… This research investigates the effect of shared decision-making on non-financial performance, with specific attention to the mediating effect of using AI and the moderation effects of security and privacy concerns and top management support. …”
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A practical guide to apply AI in childhood cancer: Data collection and AI model implementation by Shuping Wen, Stefan Theobald, Pilar Gangas, Karina C. Borja Jiménez, Johannes H.M. Merks, Reineke A. Schoot, Marcel Meyerheim, Norbert Graf

“…This review also outlines the rules and criteria for collecting, processing, and sharing these data. Informed consent and re-consent are required for data collection and re-use, and data quality, privacy, and security as well as data standardisation, harmonisation and interoperability are important for data processing. …”
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Blockchain-enabled Zero Trust-based Secure and Energy Efficient scheme for 6G-enabled UASNs by Altaf Hussain, Shuaiyong Li, Tariq Hussain, Razaz Waheeb Attar, Ahmed Alhomoud, Reem Alsagri, Ahmad Ali Alzubi

“…Using blockchain ensures secure and trustworthy communication, transparency in data sharing, maintenance of trust among nodes, and protection of user privacy. …”
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Secure Blockchain Integration Approach for Knowledge Discovery in Industrial Internet of Things by Rohan Tripathi, Ritam Rao, Vivekananda Bhat K., Abhishek Kumar Pandey, Ashok Kumar Das

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Attribute encryption access control method of high dimensional medical data based on fuzzy algorithm. by Yonggang Huang, Teng Teng, Yuanyuan Li, Minghao Zhang

“…However, when dealing with high-dimensional medical data, the inherent transparency of blockchain conflicts with the necessity of protecting patient privacy. …”
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Securing LLM Workloads With NIST AI RMF in the Internet of Robotic Things by Hassan Karim, Deepti Gupta, Sai Sitharaman

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An efficient and secure data auditing scheme based on fog-to-cloud computing for Internet of things scenarios by Jun-Feng Tian, Hao-Ning Wang

“…With the widespread use of fog-to-cloud computing–based Internet of things devices, how to ensure the integrity of the data uploaded to the cloud has become one of the most important security issues. …”
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