Decentralized Biobanking Apps for Patient Tracking of Biospecimen Research: Real-World Usability and Feasibility Study by William Sanchez, Ananya Dewan, Eve Budd, M Eifler, Robert C Miller, Jeffery Kahn, Mario Macis, Marielle Gross

“… BackgroundBiobank privacy policies strip patient identifiers from donated specimens, undermining transparency, utility, and value for patients, scientists, and society. …”
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Customer Satisfaction on Digital Banking Services: Evidence from Islamic Financial Institutions in Sri Lanka by Hayathu Mohamed Ahamed Hilmy, Iqbal Saujan

“…For clarity, the results were displayed in bar graphs and pie charts using Microsoft Excel. The study evaluated service quality factors using Pearson correlation to examine the relationship between customer satisfaction (dependent variable) and independent variables (Efficiency, system availability, Ease of use, privacy, responsiveness).…”
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Cybercrime Regulation through Laws and Strategies: a Glimpse into the Indian Experience by Annappa Nagarathna

“…This Act underwent amendment in 2008 to accommodate provisions essential to regulate cybercrimes as well as protect data and privacy on cyber space. In addition to the law, other strategies were designed and adopted to better regulate cyber offences including announcing cyber security policies, constituting institutions to take care of certain concerns including those relating to critical infrastructure information, etc. …”
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A scaling law to model the effectiveness of identification techniques by Luc Rocher, Julien M. Hendrickx, Yves-Alexandre de Montjoye

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Extending capabilities of artificial intelligence for decision-making and healthcare education by Mohd Javaid, Abid Haleem, Ibrahim Haleem Khan, Raju Vaishya, Abhishek Vaish

“…Medical profession requires extensive knowledge and accuracy from the existing data for improved decision-making. Artificial intelligence (AI) is an appropriate technology used to improve the knowledge, skill, quality of treatment, capability, confidence, and effective decision-making process. …”
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Parents’ information needs and perceptions of chatbots regarding self medicating their children by Xueyi Wei, Xiuwen Chen, Liqing Yue, Peng Liao

“…Semi-structured interviews were conducted from October 2023 to December 2023. The interview data were analysed using a thematic analysis method. …”
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FedArtML: A Tool to Facilitate the Generation of Non-IID Datasets in a Controlled Way to Support Federated Learning Research by Daniel Mauricio Jimenez Gutierrez, Aris Anagnostopoulos, Ioannis Chatzigiannakis, Andrea Vitaletti

“…Federated Learning (FL) enables collaborative training of Machine Learning (ML) models across decentralized clients while preserving data privacy. One of the challenges that FL faces is when the clients’ data is not independent and identically distributed (non-IID). …”
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Impact on bias mitigation algorithms to variations in inferred sensitive attribute uncertainty by Yanchen Wang, Lisa Singh

“…One approach to improve trustworthiness and fairness in AI systems is to use bias mitigation algorithms. However, most bias mitigation algorithms require data sets that contain sensitive attribute values to assess the fairness of the algorithm. …”
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Algorithms weighing lives and freedoms: The case of China’s health code by Ina Virtosu, Chen Li

“…Digital contact tracing has attracted enormous interest among academics and legislators since the outbreak of COVID-19, which resulted in several policy papers and research works, discussing issues, such as the effectiveness and accuracy of virus detection, as well concerns in regard to discrimination and data privacy. However, most of the articles refers to technologies and its implications in the West, and less to the peculiarities and problems related to the use of Chinese health code. …”
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Impact of telemedicine on antenatal care at a teaching institution in Eastern India: An insight into the future of better India by Ipsita Mohapatra, Vikash K. Rai, Subha Ranjan Samantaray

“…Materials and Methods: Primary data were collected by means of a telephonic survey of all the antenatal patients who used telemedicine services of AIIMS, Kalyani, based on a preformed questionnaire. …”
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Exploring the Limitations of Federated Learning: A Novel Wasserstein Metric-Based Poisoning Attack on Traffic Sign Classification by Suzan Almutairi, Ahmed Barnawi

“…Federated Learning (FL) enhances privacy but remains vulnerable to model poisoning attacks, where an adversary manipulates client models to upload <italic>poisoned</italic> updates during training, thereby compromising the overall FL model. …”
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Exploring the Challenges of Mobile Phone Utilization for Library Service Delivery: The Librarians’ Perspectives by Qudus Bankole

“…A self-developed questionnaire was used to collect data, which was analyzed using descriptive statistics. …”
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Current AI technologies in cancer diagnostics and treatment by Ashutosh Tiwari, Soumya Mishra, Tsung-Rong Kuo

“…Finally, we discuss important challenges such as data privacy, interpretability, and regulatory issues, and recommend future directions that involve the use of federated learning, synthetic biology, and quantum-boosted AI. …”
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Auxiliary Teaching and Student Evaluation Methods Based on Facial Expression Recognition in Medical Education by Xueling Zhu, Roben A Juanatas

“…This method consists of 4 key steps. In data collection, multiangle high-definition cameras record students’ facial expressions to ensure data comprehensiveness and accuracy. …”
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Automotive Cybersecurity: A Survey on Frameworks, Standards, and Testing and Monitoring Technologies by Claudiu Vasile Kifor, Aurelian Popescu

“…To sustain and enhance the performance, quality, and reliability of vehicle systems, software engineers face significant challenges, including in diverse communication channels, software integration, complex testing, compatibility, core reusability, safety and reliability assurance, data privacy, and software security. Addressing cybersecurity risks presents a substantial challenge in finding practical solutions to these issues. …”
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From Neural Networks to Emotional Networks: A Systematic Review of EEG-Based Emotion Recognition in Cognitive Neuroscience and Real-World Applications by Evgenia Gkintoni, Anthimos Aroutzidis, Hera Antonopoulou, Constantinos Halkiopoulos

“…Further, related ethical issues with respect to privacy, data security, and machine learning model biases need to be much more proclaimed to responsibly apply research on emotions to areas such as healthcare, human–computer interaction, and marketing. …”
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Impact of Mask-Wearing on Public Attitudes, Perceptions, and Interest in Rhinoplasty During the COVID-19 Pandemic by Mohanad M. Alsuhaim, MD, MBBS, Abdullah A. Fallatah, MD, MBBS, Mohammed H. Shawosh, MD, MBBS, Adil N. Althobaity, MBBS, SB-PLAST, EBOPRAS

“…This study aimed to investigate the influence of mask use on attitudes, perceptions, and interests in rhinoplasty during the COVID-19 pandemic in Saudi Arabia. …”
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Parameter optimization of 3D convolutional neural network for dry-EEG motor imagery brain-machine interface by Nobuaki Kobayashi, Musashi Ino

“…By completing the system on the edge, the privacy of personal MI data can be ensured, and the system is ubiquitous, which improves user convenience. …”
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Decentralized Distributed Sequential Neural Networks Inference on Low-Power Microcontrollers in Wireless Sensor Networks: A Predictive Maintenance Case Study by Yernazar Bolat, Iain Murray, Yifei Ren, Nasim Ferdosian

“…The growing adoption of IoT applications has led to increased use of low-power microcontroller units (MCUs) for energy-efficient, local data processing. …”
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