Testing scenarios for using telepresence robots in healthcare settings by Janika Leoste, Kadri Strömberg-Järvis, Tarmo Robal, Kristel Marmor, Katrin Kangur, Anne-Mari Rebane

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Ethical Design of Data-Driven Decision Support Tools for Improving Cancer Care: Embedded Ethics Review of the 4D PICTURE Project by Marieke Bak, Laura Hartman, Charlotte Graafland, Ida J Korfage, Alena Buyx, Maartje Schermer

“…The 4D PICTURE (Producing Improved Cancer Outcomes Through User-Centered Research) project aims to support patients, their families, and clinicians with these complex decisions by developing data-driven decision support tools (DSTs) for patients with breast cancer, prostate cancer, and melanoma as part of care path redesign using a methodology called MetroMapping. …”
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A systematic review of digital twins’ potential for citizen participation and influence in land use agenda-setting by David Adade, Walter Timo de Vries

“…The findings also reveal two ways of citizen participation: (1) providing data for developing digital twins and (2) utilising digital twins to analyse and identify key land use challenges and to push forward land use claims and proposals within a policy system.…”
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Should we communicate with the dead to assuage our grief? An Ubuntu perspective on using griefbots by Connor Wright

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Applications of blockchain technology in long-term care: use cases, potentials, and barriers by Beate Steurer, Birgit Trukeschitz, Ulrike Schneider

“…Abstract Background Digitalization in long-term care (LTC) is being discussed as a means of easing pressures on care service delivery, optimizing care coordination and planning processes, and improving service quality. With its advanced data protection and process automation features, blockchain technology could help solve data security and privacy issues, especially for the implementation of assistive technologies. …”
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New method for file deduplication in cloud storage by Chao YANG, Qian JI, Si-chun XIONG, Mao-zhen LIU, Jian-feng MA, Qi JIANG, Lin BAI

“…Deduplication is widely used in cloud storage service to save bandwidth and storage resources,however,the security of client deduplication still flaws in an external attack to access a user’s private data.Xu-CDE,a deduplication solution of encrypting data for multi-client was first proposed,which could protect the privacy of data from the external attackers and honest but curious server,with favorable theoretical meaning and representativeness.However,in Xu-CDE,the user ownership authentication credentials were lack of instantaneity protection,which could not resist replay attack.As an improvement to the flaw,the protocol MRN-CDE (MLE based and random number modified client-side deduplication of encrypted data in cloud storage) was proposed,adding random number in order to ensure the instantaneity of the authentication credentials,and using the algorithm of MLE-K_Pto extract key from original file to replace the file itself as an encryption key.As a consequence,the new protocol improved security while significantly reduced the amount of computation.After the safety analysis and the actual tests,results show that based on Xu-CDE,the proposed protocol MRN-CDE has stronger security of ownership,and improves time efficiency.Specially,the new protocol works better on large files in cloud with a certain value.…”
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New method for file deduplication in cloud storage by Chao YANG, Qian JI, Si-chun XIONG, Mao-zhen LIU, Jian-feng MA, Qi JIANG, Lin BAI

“…Deduplication is widely used in cloud storage service to save bandwidth and storage resources,however,the security of client deduplication still flaws in an external attack to access a user’s private data.Xu-CDE,a deduplication solution of encrypting data for multi-client was first proposed,which could protect the privacy of data from the external attackers and honest but curious server,with favorable theoretical meaning and representativeness.However,in Xu-CDE,the user ownership authentication credentials were lack of instantaneity protection,which could not resist replay attack.As an improvement to the flaw,the protocol MRN-CDE (MLE based and random number modified client-side deduplication of encrypted data in cloud storage) was proposed,adding random number in order to ensure the instantaneity of the authentication credentials,and using the algorithm of MLE-K_Pto extract key from original file to replace the file itself as an encryption key.As a consequence,the new protocol improved security while significantly reduced the amount of computation.After the safety analysis and the actual tests,results show that based on Xu-CDE,the proposed protocol MRN-CDE has stronger security of ownership,and improves time efficiency.Specially,the new protocol works better on large files in cloud with a certain value.…”
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FedCVG: a two-stage robust federated learning optimization algorithm by Runze Zhang, Yang Zhang, Yating Zhao, Bin Jia, Wenjuan Lian

“…Abstract Federated learning provides an effective solution to the data privacy issue in distributed machine learning. …”
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Teachers’ digital literacy competencies according to their age status and their level of use in classes by Gökbulut Burak, Yeniasır Mustafa, Gökbulut Özlem Dağlı

“…Digital literacy means that individuals know how to properly use digital platforms/tools both for their personal development and for solving everyday problems, mastering information technologies and being aware of issues such as legal responsibility, data protection, security and ethics. …”
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OPTIMIZING KEYWORD SEARCH FOR SEARCH ENGINES USING BLOCKCHAIN TECHNOLOGY by Bharti Aggarwal, Dinesh Rai, Naresh Kumar

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The Use of ChatGPT in English Language Learning: A Systematic Literature Review by Nur Hidayati, Erna Andriyanti, Novasa Adiyani

“…Following PRISMA guidelines, this review analyzes data from Scopus, ERIC, and Google Scholar using thematic analysis to identify key themes. …”
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Big Data Analytics for Mental Health Education: A New Framework for University-Level Evaluation under Linguistic Confidence Interval Neutrosophic Numbers by Hong Zhu

“…Ten criteria—including accessibility, awareness, analytics integration, and data ethics—are used to evaluate a diverse set of intervention alternatives ranging from AI-based detection systems to immersive VR training. …”
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Ethical and legal considerations in healthcare AI: innovation and policy for safe and fair use by Tuan Pham

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The use of micromobility riding simulators in road safety research: a systematic review by Charitha Dias, Qinaat Hussain, Muhammad Abdullah

“…Collecting real-world and field data involves numerous challenges due to ethical, privacy, and safety concerns. …”
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Legal Perspective on the Use of Artificial Intelligence in Corporate Governance in Nigeria: Potentials and Challenges by Richard Moses Peace

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A review of the use of technology in sport coaching: current trends and future directions by Fadli Ihsan, Ahmad Nasrulloh, Sigit Nugroho, Rina Yuniana

“…Various technological tools and applications have been developed to help coaches analyze athlete performance, monitor physical condition, provide feedback, and make decisions based on objective, real-time data. Conclusion The use of technology in sports training offers promising benefits but also presents challenges. …”
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Use of ChatGPT in Education: Future Strategic Road Map with SWOT Analysis by Mustafa Taktak , Mehmet Şükrü Bellibaş , Mustafa Özgenel

“…However, concerns have been raised regarding ethical issues such as data privacy, security, plagiarism, bias, and the potential for commercial exploitation, as well as negative psychological impacts on users. …”
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Federated knee injury diagnosis using few shot learning by Chirag Goel, Anita X, Jani Anbarasi L

“…While deep learning approaches have shown promise in identifying knee injuries from MRI scans, they often require large amounts of labeled data, which can be both scarce and privacy-sensitive.MethodsThis paper analyses a hybrid methodology that integrates few-shot learning with federated learning for the diagnosis of knee injuries using MRI scans. …”
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Ethical Challenges of Using the Internet of Behavior in the Medical and Healthcare Practice by Zahra Sadeqi-Arani, Esmaeil Mazroui Nasrabadi

“…These include concerns about privacy, data security, transparency, behavioral manipulation, equity in access, and the psychological and social consequences of continuous monitoring. …”
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Use of AI in Mental Health Care: Community and Mental Health Professionals Survey by Shane Cross, Imogen Bell, Jennifer Nicholas, Lee Valentine, Shaminka Mangelsdorf, Simon Baker, Nick Titov, Mario Alvarez-Jimenez

“…The surveys collected data on demographics, technology comfort, attitudes toward AI, specific AI use cases, and experiences of benefits and harms from AI use. …”
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