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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Embracing or rejecting AI? A mixed-method study on undergraduate students’ perceptions of artificial intelligence at a private university in China by Yifu Li, Nilo Jayoma Castulo, Xiaoyuan Xu, Xiaoyuan Xu

“…The findings revealed that students demonstrated moderate familiarity with AI tools, particularly ChatGPT and willingness to use them in coursework. Positive attitudes toward AI’s value in education were evident, although concerns such as dependence and reduced independent thinking, algorithmic bias and ethical concerns, accuracy and information quality, data security, and privacy concerns were observed among students. …”
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Deep multi-biometric fuzzy commitment scheme: fusion methods and performance by Valentina Fohr, Christian Rathgeb

“…Abstract Biometric cryptosystems enable privacy-preserving authentication using biometric data, such as fingerprints or iris scans. …”
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Information Technology in Nursing Practice: A Scoping Review of Assessment Tools for Evaluating Nurses’ Competencies by Cachata D, Costa M, Magalhães T, Lucas P, Gaspar F

“…This has driven the need to develop specific competencies and maintain a balance between ethical aspects, social and legal challenges related to privacy and data security, as well as the challenge of ensuring person-centered care practice. …”
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AI Robotics in Healthcare Between the EU Medical Device Regulation and the Artificial Intelligence Act<subtitle>Gaps and Inconsistencies in the Protection of Patients and Care Reci... by Martin Ebers

“…The growing inclusion of social robots in therapeutic situations raises a variety of unresolved legal and ethical issues, including risks to patient autonomy, human dignity and trust, the potentially life-threatening effects of inaccurate or malfunctioning technology, diminished privacy due to the reliance on enormous amounts of personal (sensitive health) data, new challenges to data security due to the cyber-physical nature of robots, and the problem of how to obtain informed consent to medical treatments based on opaque AI decision making. …”
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Federated learning-based user access strategy and energy consumption optimization in cell-free massive MIMO network by Yuanyuan YAO, Yiqiu LIU, Sai HUANG, Chunyu PAN, Xuehua LI, Xin YUAN

“…To solve the problem that how users choose access points in cell-free massive multiple-input multiple-output (CF-mMIMO) network, a prioritized access strategy for poorer users based on channel coefficient ranking was proposed.First, users were evaluated and ranked for their channel quality and stability after channel sensing, and suitable access points were selected in sequence according to the order of the channel state information.Second, considering issues such as users' energy consumption and data security, a federal learning framework was used to enhance user's data privacy and security.Meanwhile, an alternating optimization variables algorithm based on energy consumption optimization was proposed to optimize the multi-dimensional variables, for the purpose of minimizing the total energy consumption of the system.Simulation results show that compared with the traditional user-centric in massive MIMO, the proposed access strategy can improve the average uplink reachable rate of users by 20%, and the uplink rate of users with poor channels can be double improved; in terms of energy consumption optimization, the total energy consumption can be reduced by much more than 50% after optimization.…”
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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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Evaluation of a piloted digital reproductive health registry in Jordan to improve mother and child health by Mirwais Amiri, Majd Al-Soukhni, Manal Tahtamouni, Mohannad Al Nsour

“…Conclusion The new hRHR has a high acceptance level among stakeholders, health providers and women using MCH services. The evaluation showed that the system improved documentation of data, decreased time, and effort of data reporting and retrieval, and improved access to patient data.…”
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Overview of Modern Technologies for Acquiring and Analysing Acoustic Information Based on AI and IoT by Sabina Szymoniak, Łukasz Kuczyński

“…In recent years, using sound as a source of information in environmental monitoring systems has become increasingly important. …”
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E-HAILING SERVICES IN MALAYSIAâ€: A SNAPSHOT OF LEGAL ISSUES AND RISKS

“…The data were structured using theme analysis to generate a discussion narrative regarding e-hailing services in Malaysia, taking into consideration multiple viewpoints on the regulatory framework, legal concerns, and risks of this industry. …”
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Federated Learning-Based CNN Models for Orthodontic Skeletal Classification and Diagnosis by Demet Süer Tümen, Mehmet Nergiz

“…The objective is to determine whether FL can achieve competitive performance while preserving data privacy and enabling collaborative model training across multiple institutions. …”
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Digital health tools in juvenile idiopathic arthritis: a systematic literature review by Jordi Anton, María Montoro, Estíbaliz Loza, Teresa Otón, Susan Ramirez, Diego Benavent

“…Tool development and validation processes were poorly or not at all described, and data regarding regulatory compliance, security, or privacy were scarce. …”
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The Impact of Banking Digitalization on Customer Satisfaction and Loyalty in BPRs: Systematic Literature Review by Maulana Yusup

“…Conclusion: The study highlights that the main challenge in rural areas is resistance to digitalization due to low digital literacy and concerns over data privacy. It recommends that BPRs prioritize digital literacy programs, ensure system transparency and security, and combine physical and digital services. …”
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Electronic medical records sharing solution based on Hyperledger Fabric by CHEN Jiali, MA Ziqiang, MIAO Li, LI Bingyu, YUE Xiaolin

“…Simultaneously, parties involved in secret sharing collaborate to recover keys and decrypt the records.The document comprehensively discusses the security aspects of this solution, ensuring that EMR can withstand various attacks during storage and sharing, thus guaranteeing data integrity and privacy. Compared to other secret sharing schemes, this solution demonstrates better theoretical time complexity, providing an efficient and reliable solution for secure storage and multi-party sharing of EMR.…”
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Learning Sensor Based Risk Map Augmentation for Risk Aware UAS Operation by Bhaskar Trivedi, Manfred Huber

“…This paper presents an approach to risk map augmentation that uses learned risk identification from aerial pictures to fuse additional information with prior data into a dynamically changing risk map that allows effective re-planning of navigation strategies.…”
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Leveraging large language models for the deidentification and temporal normalization of sensitive health information in electronic health records by Hong-Jie Dai, Tatheer Hussain Mir, Ching-Tai Chen, Chien-Chang Chen, Hao-Ping Yang, Chung-Hong Lee, Yi-Yun Chou, Yu-Chin Teng, Shalini Gupta, Omkar Panchal, Divyabharathy Ramesh Nadar, Wei-Hsiang Liao, Yu-Chuan Lin, Zi-Rui Zhao, Richard Tzong-Han Tsai, Yung-Chun Chang, Jitendra Jonnagaddala

“…Abstract Secondary use of electronic health record notes enhances clinical outcomes and personalized medicine, but risks sensitive health information (SHI) exposure. …”
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Advances in Infant Cry Paralinguistic Classification—Methods, Implementation, and Applications: Systematic Review by Geofrey Owino, Bernard Shibwabo

“…ConclusionsThe evolution of infant cry classification methods has progressed from traditional classical statistical methods to machine learning models but with minimal considerations of data privacy, confidentiality, and ultimate deployment to practical use. …”
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Influencing Factors and Correlations of User Satisfaction with Mobile Health Applications by SHI Qin, XIE Jing, WU Shang

“…Using the grounded theory, the study extracted factors influencing user satisfaction with mobile health applications by coding the review data. …”
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AIoT: a taxonomy, review and future directions by Jiyi WU, Wenjuan LI, Jian CAO, Shiyou QIAN, Qifei ZHANG, Rajkumar BUYYA

“…AIoT (artificial intelligence of things) is an integrated product of artificial intelligence (AI) and internet of things (IoT).Currently, it has been widely used in smart cities, smart homes, smart manufacturing, and driverless.However, the research of AIoT is still in its infancy, facing with many problems and challenges.In order to clarify the concept and provide possible solutions, a comprehensive survey was carried out on AIoT.Firstly, a clear definition of AIoT was provided, along with the brief introduction on its background and application scenarios.And then a novel cloud-edge-end hybrid AIoT architecture for intelligent information processing was constructed.Based on the research framework of AIoT, the research status and solutions were discussed, including AI integrated IoT data acquisition, complex event processing and coordination, cloud-edge-end integration, AI-enhanced IoT security and privacy, and AI-based applications, etc.Finally, it identified the open challenges and offers future research directions.…”
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From Centralization to Decentralization: Blockchain&#x2019;s Role in Transforming Social Media Platforms by Bidita Sarkar Diba, Jayonto Dutta Plabon, Nishat Tasnim, Mehjabin Hossain, Durjoy Mistry, Sourav Sarker, M. F. Mridha, Yuichi Okuyama, Jungpil Shin

“…Conventionally, social media systems are based on central architectures that may indirectly solve the problems of data privacy and platform responsibility since there are increased threats, including identity theft and fake news spread across such systems. …”
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