Cybersecurity and Major Cyber Threats of Smart Meters: A Systematic Mapping Review by Jones Márcio Nambundo, Otávio de Souza Martins Gomes, Adler Diniz de Souza, Raphael Carlos Santos Machado

“…These gaps include design requirements, software and firmware updates, physical security, the use of big data to detect vulnerabilities, user data privacy, and inconsistencies in machine learning algorithms. …”
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The application of artificial intelligence in insomnia, anxiety, and depression: A bibliometric analysis by Enshi Lu, Di Zhang, Mingguang Han, Shihua Wang, Liyun He

“…However, challenges around data privacy, ethical concerns, and the interpretability of AI models need to be addressed. …”
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SA-FLIDS: secure and authenticated federated learning-based intelligent network intrusion detection system for smart healthcare by Radjaa Bensaid, Nabila Labraoui, Ado Adamou Abba Ari, Hafida Saidi, Joel Herve Mboussam Emati, Leandros Maglaras

“…Our research aims to improve data privacy and reduce communication costs. Furthermore, we also address weaknesses in decentralized learning systems, like Sybil and Model Poisoning attacks. …”
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Human-machine in the vortex of digital synergy by Vaclav Moravec, Beata Gavurova, Nik Hynek, Martin Rigelsky

“…Using data from 1232 respondents (aged 15+), collected via a quota-based online survey from April 8 to April 26, 2024, logistic regression analyses investigated two key questions: (1) Does increased use of virtual assistants correlate with a higher likelihood of ChatGPT adoption? …”
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Making temporary homes by Marjolein Overtoom

“…The interviews were analysed with Interpretative Phenomenological Analysis, and the visual data (photos made by the interviewees and sometimes the researcher, and drawings made by the researcher) was used to place the content of the interviews in a physical context. …”
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Federated Learning for Decentralized DDoS Attack Detection in IoT Networks by Yaser Alhasawi, Salem Alghamdi

“…Our approach prioritizes data privacy by processing data locally, thereby avoiding the need for central data collection, while enhancing detection efficiency. …”
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Membangun Kepercayaan yang Berkelanjutan di Era Disruptif Komunikasi: Perspektif Media dan Komunikasi Digital by Agung Dharmajaya, Harmonis Minangkabawi

“… The purpose of this research is to find out the factors that can build sustainable trust in the field of disruptive communication from the perspective of digital media and communication. This research uses qualitative research methods. The data collection technique in this research is done by literature study by exploring journals, books and other information relevant to the research. …”
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Enabling All In-Edge Deep Learning: A Literature Review by Praveen Joshi, Mohammed Hasanuzzaman, Chandra Thapa, Haithem Afli, Ted Scully

“…Moreover, most of the time central cloud servers are used for such computation, thus opening up other significant challenges, such as high latency, increased communication costs, and privacy concerns. …”
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Understanding customer loyalty in digital services: insights from food delivery in emerging markets by Bora Ly

“…Trustworthiness has emerged as particularly influential due to concerns over data privacy, while service quality and convenience are crucial in shaping user satisfaction and loyalty.…”
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Mental Health Apps Available in App Stores for Indian Users: Protocol for a Systematic Review by Seema Mehrotra, Ravikesh Tripathi, Pramita Sengupta, Abhishek Karishiddimath, Angelina Francis, Pratiksha Sharma, Paulomi Sudhir, Srikanth TK, Girish N Rao, Rajesh Sagar

“…Additionally, the apps will be reviewed for quality using the Mobile Application Rating Scale. The data analysis and synthesis strategy will incorporate descriptive statistics based on quality evaluation using the Mobile Application Rating Scale and examining the content of the apps for generating descriptive information. …”
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A mixed-method study to inform the design of a video observed therapy app to monitor individuals with TB in the Dominican Republic by Julio Arturo Canario-Guzmán, Ricardo Elias-Melgen, Eddys Rafael Mendoza, Luis Felipe Arias, Roberto Espinal, Jeannette Báez, Sarah Iribarren

“…Data integration was achieved by comparing convergent and divergent results.ResultsParticipants expressed a positive attitude towards using DAT to facilitate communication with health personnel to support treatment adherence. …”
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Contrastive Learning Algorithm for Low-Resource Cryptographic Attack Event Detection by Peng Luo, Rangjia Cai, Yuanbo Guo

“…The widespread use of the internet has led to frequent cryptographic attack event incidents, which pose various risks, including the leakage of personal information, privacy data, identity theft, and potential legal liabilities. …”
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Comparing remote and in-person interpretation experiences for clinicians and Spanish-speaking patients with limited English proficiency: a mixed methods study by Hector P Rodriguez, Timothy T Brown, Jacob Chen, Xiaoyu Cai, Alondra Ruiz, Paola Hernandez Fernandez

“…Objective There is concern that remote medical interpretation is not as patient-centred as in-person interpretation, but limited evidence exists comparing interpreter service delivery methods. Using mixed methods, remote and in-person professional medical interpretation were examined from the perspectives of Spanish-speaking patients with limited English proficiency and community health centre (CHC) clinicians.Design Patient experience survey data from Spanish-speaking patients and interviews of primary care clinicians assessed their experiences of using remote versus in-person interpretation. …”
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A distributed robust state estimation method based on alternating direction method of multipliers for integrated electricity‐heat system by Yanbo Chen, Yulong Gao, Zhe Fang, Jiaqi Li, Zhenda Hu, Yichao Zou, Jin Ma, Chunlai Li, Qinze Xiao, Zeyu Chen

“…Simulations demonstrate that the proposed method has higher estimation accuracy in both general and strongly correlated adverse data tests and also can ensure data privacy, good robustness and high estimation accuracy. …”
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GLOBE Observer: A Case Study in Advancing Earth System Knowledge with AI-Powered Citizen Science by Peder V. Nelson, Russanne Low, Holli Kohl, David Overoye, Di Yang, Xiao Huang, Sriram Chellappan, Farhat Binte Azam, Ryan M. Carney, Monika Falk, Joan Garriga, Larisa Schelkin, Rebecca Boger, Theresa Schwerin

“…GLOBE citizen science data has been used to develop automated data classification routines that enable information discovery of mosquito larvae and land cover labels. …”
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eHealth Technology: What Do We Know and What do We Need to Learn by Ramzi A. Haraty, Ola A Sukkarieh

“…<p>eHealth is the use of information and communication technologies for health. eHealth serves multiple utilization purposes for storage, exchange, and retrieval of digital data for administrative, clinical, educational and research purposes. …”
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Federated Learning for Predicting Major Postoperative Complications by Yuanfang Ren, PhD, Yonggi Park, PhD, Benjamin Shickel, PhD, Ziyuan Guan, MS, Ayush Patel, Yingbo Ma, PhD, Zhenhong Hu, PhD, Jeremy A. Balch, MD, Tyler J. Loftus, MD, PhD, Parisa Rashidi, PhD, Tezcan Ozrazgat-Baslanti, PhD, Azra Bihorac, MD, MS

“…To develop a robust model to accurately predict the risk of postoperative complications using clinical data from multiple institutions while ensuring data privacy. …”
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DAMPAK PEMANFAATAN ARTIFICIAL INTELLIGENCE (AI) DALAM PERILAKU PENGAMBILAN KEPUTUSAN TERHADAP ETIKA BISNIS DAN KEBERLANJUTAN ORGANISASI by Putu Ayu Diah Widari Putri, Nyoman Yudha Astriayu Widyari, Ida Ayu Komang Tiara Pratistha Sari

“…In an increasingly complex and competitive business era, AI has become a strategic tool that can increase the speed, accuracy, and objectivity of data-based decision-making. However, its use also poses significant ethical challenges, such as issues of transparency, algorithmic bias, accountability, and data privacy. …”
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Research Progress on Ambient Visual Information Analysis and Perception Measurement Methods for Motion Vision by Haipeng ZHU, Yuhang KONG, (JPN) OHNO Ryuzo

“…Despite the promising applications of machine learning in subjective perception research, challenges such as data annotation difficulties, context dependence, and privacy concerns still persist.ConclusionThe research demonstrates the advantages of using panoramic images in capturing comprehensive visual information in both static and dynamic environments, offering a more accurate representation of spatial relationships and overcoming traditional limitations. …”
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The Potential for Large Language Models to Transform Cardiovascular Medicine (Russian Translation) by Quer, G., Topol, E.J.

“…Potential risks, such as loss of data privacy or potential diagnostic errors, should be addressed before use in clinical practice. …”
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