Authenticated Multi-Party Quantum Private Set Intersection with Single Particles by Gong-De Guo, Li-Qin Zheng, Kai Yu, Song Lin

“…With the increasing demand for privacy protection of user data, privacy set intersection has been widely used in privacy computing and other fields. …”
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Evaluating the Quality of Psychotherapy Conversational Agents: Framework Development and Cross-Sectional Study by Kunmi Sobowale, Daniel Kevin Humphrey

“… Abstract BackgroundDespite potential risks, artificial intelligence–based chatbots that simulate psychotherapy are becoming more widely available and frequently used by the general public. A comprehensive way of evaluating the quality of these chatbots is needed. …”
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The impact of information technology applications on the quality of life of disabled older adults in nursing homes in China: a qualitative study by Hong Zhang, Xiaoyan Liao, Shuang Liang, Lifang Tong, Jun Shen, Bin Peng, Lin Wu, Lu Gao, Qianying Jia, Liu Ren, Lanyue Luo, Yixin Wang, Xiaoli Zhang

“…Semi-structured interviews were conducted with 14 disabled older adults, and the data were analyzed using Van Manen’s phenomenology of practice method.ResultsFour main themes and 16 sub-themes were identified: Physical Health and Functional Capacity: subjective health perception, physical functioning, chronic disease management, sleep quality, and nutritional status; Psychological Wellbeing and Emotional Support: attitudes toward aging, negative emotions, emotional companionship, and sense of meaning in life; Social Relationships and Social Engagement: interactions with family and friends, participation in social activities, social roles, and social support; and Environmental Adaptation and Digital Challenges: safety and comfort of the living environment, ease of independent mobility, the ‘digital divide’, and protection of personal privacy and data.ConclusionThe application of information technology in nursing homes in China has partially resolved longstanding issues in traditional older adults care, such as inaccurate health management, lack of personalized and diverse services, and inefficient resource allocation. …”
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A Critical Review of Artificial Intelligence Based Approaches in Intrusion Detection: A Comprehensive Analysis by Salman Muneer, Umer Farooq, Atifa Athar, Muhammad Ahsan Raza, Taher M. Ghazal, Shadman Sakib

“…The selection of an appropriate approach depends on the specific use case, and this work provides insights into which method is best suited for various network sizes, data availability, privacy, and security concerns, thus aiding practitioners in making informed decisions for their ID needs.…”
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Exploring the Perceptions of Voice-Assisted Technology as a Tool for Speech and Voice Difficulties: Focus Group Study Among People With Parkinson Disease and Their Carers by Jodie Mills, Orla Duffy, Katy Pedlow, George Kernohan

“…However, attention must be given to users’ privacy concerns and frustrations with devices before VAT can used as a tool in SLT. …”
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Customer Continuance Usage of Digital Banking: A Systematic Review of Influencing Factors by Cathrine Abigael Christy, Lisana Lisana

“…The Preferred Reporting Items for Systematic Review (PRISMA) Framework guided the review process, revealing 56 variables used in related models. Among these, satisfaction, privacy and security, user experience, ease of use, and customer service and support were the most frequently significant factors influencing continuance usage. …”
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AI-Powered Object Detection in Radiology: Current Models, Challenges, and Future Direction by Abdussalam Elhanashi, Sergio Saponara, Qinghe Zheng, Nawal Almutairi, Yashbir Singh, Shiba Kuanar, Farzana Ali, Orhan Unal, Shahriar Faghani

“…Moreover, the need for strong applicable models across different populations and imaging modalities are addressed. The importance of privacy and ethics in general data use as well as safety and regulations for healthcare data are emphasized. …”
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Efficient encrypted image retrieval in IoT-cloud with multi-user authentication by Mustafa A Al Sibahee, Songfeng Lu, Zaid Ameen Abduljabbar, Ayad Ibrahim, Zaid Alaa Hussien, Keyan Abdul-Aziz Mutlaq, Mohammed Abdulridha Hussain

“…Encryption is one of the best methods to safeguard the security and privacy of an image. However, looking through encrypted data is difficult. …”
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Personalizing the Marketing with Artificial Intelligence (AI) by Rozhko Viktor I., Pletnova Yelyzaveta S.

“…One of the biggest risks is the issue of data privacy. For personalization and targeting, it is necessary to collect a large amount of information about consumers, which can raise concerns about violating their privacy. …”
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Secure latent Dirichlet allocation by Thijs Veugen, Thijs Veugen, Vincent Dunning, Michiel Marcus, Bart Kamphorst

“…We present a novel, decentralized approach to train an LDA model securely without having to share any information about the content of the documents. We preserve the privacy of the individual parties using a combination of privacy enhancing technologies. …”
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Systematic Analysis of Federated Learning Approaches for Intrusion Detection in the Internet of Things Environment by Nuha A. Hamad, Khairul Azmi Abu Bakar, Faizan Qamar, Ahmed Mahdi Jubair, Rajina R. Mohamed, Mohamad Afendee Mohamed

“…Data security and privacy research in FL is increasingly becoming popular. …”
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Security Framework for Pervasive Healthcare Architectures Utilizing MPEG-21 IPMP Components by Anastasios Fragopoulos, John Gialelis, Dimitrios Serpanos

“…In this work, we argue that the MPEG-21 Intellectual Property Management and Protection (IPMP) components can be used in order to achieve protection of transmitted medical information and enhance patient's privacy, since there is selective and controlled access to medical data that sent toward the hospital's servers.…”
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الهندسة الاجتماعیة وشبکات التواصل الاجتماعى وتأثیرها على المجتمع العربى by د. مها أحمد ابراهیم محمد

“…The studyalso comes up with the following results: positively, individuals of the academiccommunity succeeded at protecting their personal data automatically and at ahigh rate. Selection of fake names constitutes half of the academic community (53.2%), who use social networks and this is explored by their deny of personaldata or by writing fake personal data. …”
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Predictors of fairness assessment for social media screening in employee selection by Alicja Balcerak, Jacek Woźniak, Alexandra Zbuchea

“…Multiple linear regression with backward elimination was used to determine the predictors of perceived justice of Facebook and LinkedIn screening in the selection process. …”
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The Effect of Guidance and Counseling Services on Students’ Academic Performance in Selected Secondary Schools in Kajara County, Ntungamo District. by Nuncy, Twikirize

“…Questionnaires and Interview Guides were used in collecting data. From a total population of 1482, the sample size of 306 respondents was generated which included head teachers, parents, teachers and learners in Kajara County. …”
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Generative pre-trained transformers: ‘Ctrl+alt+create’ or ‘ctrl+alt+delete’ for IT education? by Samer Abaddi

“…These characteristics are perceived customization, simulations, usefulness, ease of use, risks and complexity. Design/methodology/approach – Using a quantitative research design, this study analyzes data from a survey of IT undergraduate students interacting with GPT-based coding tools and simulations (Three filtration steps). …”
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Online Purchasing Model for PwD (People with Disabilities) Consumers: Pre and Post Disability Behaviors by Sefa Emre Yilmazel

“…In this regard, the effects of the variables perceived ease of use, perceived usefulness, peer communication, security concern, privacy concern and physical disabilities on consumers’ purchasing intention and subsequent purchasing behavior through subjective norms, attitude and behavioral control were investigated with pre- and post-disability data. …”
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Bridging the Gap: An Algorithmic Framework for Vehicular Crowdsensing by Luis G. Jaimes, Craig White, Paniz Abedin

“…Vehicular crowdsensing leverages vehicles equipped with sensors to gather and transmit data to address several urban challenges. Despite its potential, VCS faces issues with user engagement due to inadequate incentives and privacy concerns. …”
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EdgeGuard: Decentralized Medical Resource Orchestration via Blockchain-Secured Federated Learning in IoMT Networks by Sakshi Patni, Joohyung Lee

“…In this study, we present EdgeGuard, a novel decentralized architecture that combines blockchain technology, federated learning, and edge computing to address those challenges and coordinate medical resources across IoMT networks. EdgeGuard uses a privacy-preserving federated learning approach to keep sensitive medical data local and to promote collaborative model training, solving essential issues. …”
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Balancing tech and humanity by Linda Cottone

“…While technology can enhance efficiency, as shown in Lebanon's response to the Tripoli bomb attack, it must adhere to international legal standards, especially privacy protections in the ICCPR and UDHR. The use of AI in identification processes raises concerns about wrongful identification, privacy breaches, and discrimination, especially when sensitive data is processed without human oversight. …”
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