Generative AI in AI-Based Digital Twins for Fault Diagnosis for Predictive Maintenance in Industry 4.0/5.0 by Emilia Mikołajewska, Dariusz Mikołajewski, Tadeusz Mikołajczyk, Tomasz Paczkowski

“…They create synthetic datasets that improve training quality while addressing data scarcity and data imbalance. The aim of this paper was to present the current state of the art and perspectives for using AI-based generative DTs for fault diagnosis for predictive maintenance in Industry 4.0/5.0. …”
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Exploring the influence of cognitive factors among Chinese parents on the sustainability of children’s digital education by Tingyu Zhang, Qianling Jiang, Wenjing Zhang

“…Findings Perceived playability, usefulness, social influence, and satisfaction significantly predict continuance intention. …”
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Language barriers and their consequences in healthcare: a qualitative case study of Nepali migrants in Finland by Shrwan Kumar Khanal

“…Methods This qualitative study employed semi-structured interviews with 27 working age Nepali migrants in Finland. The data was collected between February and August 2023 and was analysed thematically to identify barriers to healthcare use. …”
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The daunting challenge of Artificial Intelligence in Education: a systematic literature review by Rubén Arriazu

“…Finally, there are also ethical and social challenges that address concerns about the privacy of student data, equity in access to advanced technologies, and the potential of AI to perpetuate existing biases. …”
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CLOUD COMPUTING SECURITY by Ştefan IOVAN, Alina Anabela IOVAN

“…Cloud computing reprentes the software applications offered as a service online, but also the software and hardware components from the data center.In the case of wide offerd services for any type of client, we are dealing with a public cloud. …”
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The future of education: Importance of ethical frameworks and cultural sensitivity by Baltezarević Borivoje V.

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Assessment of implementation challenges of electronic medical record in Yekatit 12 hospital medical college. by Abiyot Alemu Mamae, Ephrem Mamo

“…Descriptive statistics was employed to summarise the quantitative data. Qualitative data was thematically presented.…”
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Ethics in Consumer Neuroscience: A Non-Exhaustive Presentation by Dănuț TRIFU

“…From this standpoint, large differences were found when analyzing research objectives, instruments, data disclosure, and findings dissemination and use as well as participants’ protection and data privacy rights. …”
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From assistance to integrity: exploring the role of AI in academic communication across Russian and Turkish campuses by Olga V. Sergeeva, Marina R. Zheltukhina, Servet Demir

“…Turkish students exhibited a predominantly favorable outlook toward the collaborative capabilities of AI, but Russian students placed greater emphasis on apprehensions over privacy and data security.DiscussionThe study highlights the complex interplay between the benefits and challenges of AI in educational environments. …”
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Acceptance of Digital Health Technologies in Palliative Care Patients by Stefan Wicki, Ian C. Clark, Manuel Amann, Sebastian M. Christ, Markus Schettle, Caroline Hertler, Gudrun Theile, David Blum

“…Methods: We used a 39-item questionnaire to evaluate acceptance and use of smartphone-based electronic patient report outcome measures, wearables, AI, data privacy, and virtual reality (VR) in 29 female and male PC inpatients. …”
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Cloud Resilience: A Comprehensive Review of Infrastructure-as-a-Service Security Issues by Chopde Nitin, Raut Atul, Chaudhari Shrikant, Shelokar Yogesh, Yawale Pratik

“…The research paper examines IaaS security challenges, including shared responsibility models, data privacy, identity management, and multi-tenancy implications. …”
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Electronic Records Management Practices and Academic Performance of Higher Institutions of Learning: A Case Study of Kabale University. by Tukahirwa, Elizabeth

“…A descriptive research design was used to collect both qualitative and quantitative data through purposive and simple random sampling techniques, with a sample size of 92 respondents. …”
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Electronic evidence sharing scheme of Internet of vehicles based on signcryption and blockchain by Xiaodong YANG, Wanting XI, Jiaqi WANG, Aijia CHEN, Caifen WANG

“…To solve the problems of privacy and security in the electronic evidence sharing of Internet of vehicles， a sharing scheme of electronic evidence in the Internet of vehicles based on signcryption and blockchain was proposed.The evidence ciphertext and the evidence report were stored in the cloud server and the block chain respectively to realize the secure storage and sharing of the electronic evidence.The identity-based signcryption technology was used to ensure the confidentiality of data， and the proxy re-encryption technology was used to realize the sharing of electronic evidence of Internet of vehicles by insurance companies.The aggregation signature technique was introduced to reduce the computation cost of multi vehicle user signature verification.The reliability of electronic evidence was improved by using credibility incentive mechanism.Security analysis shows that the proposed scheme achieves data confidentiality， integrity， verifiability and unforgeability.Compared with the existing schemes， the proposed scheme has certain advantages in terms of computational overhead.…”
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SEF: A Secure, Efficient, and Flexible Range Query Scheme in Two-Tiered Sensor Networks by Jiajun Bu, Mingjian Yin, Daojing He, Feng Xia, Chun Chen

“…Large-scale wireless sensor networks follow the two-tiered architecture, where master nodes take charge of storing data and processing queries. However, if a master node is compromised, the information stored in it may be exposed, and query results can be juggled. …”
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Generative AI as Third Agent: Large Language Models and the Transformation of the Clinician-Patient Relationship by Hugo de O Campos, Daniel Wolfe, Hongzhou Luan, Ida Sim

“…While affirming LLMs as a tool enabling the rise of the “AI patient,” we also explore concerns surrounding data privacy, algorithmic bias, moral injury, and the erosion of human connection. …”
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Emerging and Pioneering AI Technologies in Aesthetic Dermatology: Sketching a Path Toward Personalized, Predictive, and Proactive Care by Diala Haykal

“…However, this manuscript also addresses significant challenges that practitioners face, such as technical constraints, data privacy concerns, algorithmic biases, and financial barriers, which impact the accessibility and efficacy of AI across diverse patient populations. …”
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Current limitations in technology-based cognitive assessment for severe mental illnesses: a focus on feasibility, reliability, and ecological validity by Edoardo Caporusso, Antonio Melillo, Andrea Perrottelli, Luigi Giuliani, Francesco Flavio Marzocchi, Pasquale Pezzella, Giulia Maria Giordano

“…EMA may capture real-world functioning by increasing the number of evaluations throughout the day, but its use might be hindered by high participant burden and missing data. …”
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A scoping review of the governance of federated learning in healthcare by Rebekah Eden, Ignatius Chukwudi, Chris Bain, Sebastiano Barbieri, Leonie Callaway, Susan de Jersey, Yasmeen George, Alain-Dominique Gorse, Michael Lawley, Peter Marendy, Steven M. McPhail, Anthony Nguyen, Mahnaz Samadbeik, Clair Sullivan

“…Abstract In healthcare, federated learning (FL) is emerging as a methodology to enable the analysis of large and disparate datasets while allowing custodians to retain sovereignty. While FL minimises data-sharing challenges, concerns surrounding ethics, privacy, maleficent use, and harm remain. …”
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Congruent Learning for Self-Regulated Federated Learning in 6G by Jalil Taghia, Farnaz Moradi, Hannes Larsson, Xiaoyu Lan, Adam Orucu, Masoumeh Ebrahimi, Andreas Johnsson

“…Across four networking use cases on several tasks, reflecting different profiles of data heterogeneity and limited availability of data, it is shown that CFL greatly reduces overfitting and in nearly all cases improves the performance—a relative gain of about 21% averaged across all use cases.…”
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Applications of UAV Technologies in Assessment of Transportation Infrastructure Systems by Ahmad Akib Uz Zaman, Ahmed Abdelaty, Mohamed S. Yamany

“…Respondents emphasize the need for longer flight times, better automation, and advanced data tools, underscoring growing adoption and highlighting the need to overcome technical, regulatory, and data privacy challenges for optimal UAV integration within transportation infrastructure systems management.…”
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