Generative AI for Industry 5.0: Analyzing the Impact of ChatGPT, DALLE, and Other Models by Siva Sai, Revant Sai, Vinay Chamola

“…The paper scrutinizes the multifaceted use-cases of GAI, emphasizing its instrumental function in amplifying operational efficiency, minimizing downtime, and fostering economic savings through predictive maintenance and acute real-time data analytics. …”
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Treatment-emergent Affective Switch: A Case Series Study by Jesvin L Johnson, M Shashwath Sathyanth, Anil Kakunje

“…Managing antidepressant use in bipolar disorder is crucial due to the risk of the treatment-emergent affective switch (TEAS), where antidepressants can induce shifts from depression to mania or hypomania, a complex phenomenon influenced by genetics, neurobiology, and environment. …”
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A balancing act: exploring ethical and legal concerns associated with release of personal information in alert systems for missing persons with dementia by Adebusola Adekoya, Christine Daum, Antonio Miguel-Cruz, Lili Liu

“…We conducted a thematic analysis of the interview data to inductively explore ethical and legal concerns. …”
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Regulating cryptocurrencies in a post-pandemic global economy: A comparative legal analysis of the EU, the US, and Russia by Lana Stern

“…Drawing on a comparative analysis of Russia, the European Union, the United States, and Malta, it evaluates the effectiveness of CBDC-integrated anti-money laundering (AML) mechanisms in addressing the three key stages of illicit finance: placement, layering, and integration. Using primary sources, including pilot program data, legislative texts, and policy consultations, alongside secondary academic literature, the Study explores how design elements such as ledger visibility, programmable transaction limits, sanctions screening, and tiered privacy structures can be embedded into CBDC infrastructure. …”
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Enhancing Software Sustainability: Leveraging Large Language Models to Evaluate Security Requirements Fulfillment in Requirements Engineering by Ahmad F. Subahi

“…In the digital era, cybersecurity is integral for preserving national security, digital privacy, and social sustainability. This research emphasizes the role of non-functional equirements (NFRs) in developing secure software systems that enhance societal wellbeing by ensuring data protection, user privacy, and system robustness. …”
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An Efficient Architecture for Edge AI Federated Learning With Homomorphic Encryption by Dadmehr Rahbari, Masoud Daneshtalab, Maksim Jenihhin

“…With the rapid growth of edge AI applications, there is an increasing demand for federated learning (FL) frameworks that are both efficient and privacy-preserving. This work introduces a robust approach that leverages homomorphic encryption (HE) to ensure data confidentiality during decentralized training. …”
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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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Hybrid biometric template protection: Resolving the agony of choice between bloom filters and homomorphic encryption by Amina Bassit, Florian Hahn, Raymond Veldhuis, Andreas Peter

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Assessing the transferability of BERT to patient safety: classifying multiple types of incident reports by Ying Wang, Farah Magrabi

“…For ambiguous medium and low severity levels, the F-score improvements ranged from 3.6% to 19.7% across all test datasets.Discussion Fine-tuned BERT led to improved performance, particularly in identifying rare classes and generalising effectively to unseen data, compared with small CNNs.Conclusion Fine-tuned BERT may be useful for classification tasks in patient safety where data privacy, scarcity and imbalance are common challenges.…”
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Preferences and Willingness to Pay for Health App Assessments Among Health Care Stakeholders: Discrete Choice Experiment by Anna-Lena Frey, Simon Leigh, Carla Toro, Carme Pratdepàdua Bufill, Charles McCay, Tatjana Prenđa Trupec, Giuseppe D'Avenio, Menno Kok, Antanas Montvila, Philipp Goedecker, Petra Hoogendoorn

“… BackgroundThe adoption of high-quality health apps has been slow, despite the myriad benefits associated with their use. This is partly due to concerns regarding the effectiveness, safety, and data privacy of such apps. …”
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A Survey of Machine Learning in Edge Computing: Techniques, Frameworks, Applications, Issues, and Research Directions by Oumayma Jouini, Kaouthar Sethom, Abdallah Namoun, Nasser Aljohani, Meshari Huwaytim Alanazi, Mohammad N. Alanazi

“…Hot topics included big data, cloud, edge, multimedia, security, privacy, QoS, and activity recognition, while critical domains included industry, healthcare, agriculture, transportation, smart homes and cities, and assisted living. …”
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Unleashing the Power of Wireless Communication in Healthcare by Empowering Patient Care and Connectivity: A Comprehensive Survey by Urvashi Chaudhary, Mohammad Furqan Ali, Ambrish Kumar, Abhishek Sharma, Dushantha K. Nalin Jayakody

“…These challenges and opportunities include data security and privacy issues, as well as the need for a robust communication infrastructure. …”
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The State of Artificial Intelligence and its Prospects in Pakistan's Medical Sector by Rohail Akhtar Habib, Yumna Sattar Khan

“…The rising integration of AI in Pakistani medicine necessitates the evolution of regulatory frameworks to guarantee patient safety, data privacy, and ethical application of AI technologies. …”
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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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Patients’ and Healthcare Personnel’s Experiences of Health Coaching with Online Self-Management in the Renewing Health Project by Inger Lindberg, Birgitta Lindberg, Siv Söderberg

“…To describe patients’ and healthcare personnel’s experiences of using health coaching with online self-management in primary health care. …”
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Perspectives of stakeholders on enhancing access to self-injectable contraception in rural South Sudan by Grace W. Kimemia, Mamothena Carol Mothupi, Lual Agok Luka, Teresia Macharia, Sidonia Akon, Alom Atak Ayom, Lual James Baak, Amijong Deng, Kadra Noor, Taban John Mark, Naoko Kozuki

“…Abstract Background Although self-injectable subcutaneous depot medroxyprogesterone acetate (DMPA-SC) has demonstrated promise, there are significant barriers in promoting initiation and continued use in low-resource settings. This study sought to understand the perspectives of stakeholders on promotion of self-injectable contraception use in rural South Sudan. …”
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FedBFGCN: A Graph Federated Learning Framework Based on Balanced Channel Attention and Cross-Layer Feature Fusion Convolution by Hefei Wang, Ruichun Gu, Jingyu Wang, Xiaolin Zhang, Hui Wei

“…In addition, this framework also uses homomorphic encryption methods to enhance privacy protection and improve data security. …”
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Cross-cultural attitudes toward generative AI in Art: Implications for sustainable creativity in the U.S., Japan, and China by Suomiya Bao

“…While Chinese participants focus on data privacy and intellectual property protection, U.S. participants are more concerned with misinformation and fake content. …”
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Digital game addiction in elementary students: The impact of digital literacy, parental styles, and background variables by Sacide G. Mazman Akar, Murat Özer

“…The sample comprised 530 fourth-grade students from four primary schools in Turkey. Data were collected using the “Scale of Digital Game Addiction for Children”, “Digital Literacy Scale for Primary School Students”, and “Parental Style Scale”. …”
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Revolutionising Educational Management with AI and Wireless Networks: A Framework for Smart Resource Allocation and Decision-Making by Christos Koukaras, Euripides Hatzikraniotis, Maria Mitsiaki, Paraskevas Koukaras, Christos Tjortjis, Stavros G. Stavrinides

“…By leveraging data-driven insights enabled by reliable wireless connectivity, institutions can make more informed decisions, use resources more effectively, and automate routine tasks. …”
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