Enhancing insights in sexually transmitted infection mapping: Syphilis in Forsyth County, North Carolina, a case study. by Lani Fox, William C Miller, Dionne Gesink, Irene Doherty, Marc Serre

“…Results were assessed using latent rate theory cross validation. We show combining a moving window and a UMBME analysis with geomasked data effectively predicted the true or latent syphilis rate 5% to 26% more accurate than the traditional, geopolitical boundary method. …”
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CAFiKS: Communication-Aware Federated IDS With Knowledge Sharing for Secure IoT Connectivity by Ogobuchi Daniel Okey, Demostenes Zegarra Rodriguez, Frederico Gadelha Guimaraes, Joao Henrique Kleinschmidt

“…Currently, the most widely used aggregation method only assumes that data is independently and identically distributed (IID), which is impractical for real-world applications. …”
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Empowering Healthcare: TinyML for Precise Lung Disease Classification by Youssef Abadade, Nabil Benamar, Miloud Bagaa, Habiba Chaoui

“…Recently, there has been growing interest in the automated analysis of lung sounds using Deep Learning (DL). Nevertheless, the execution of large DL models in the cloud often leads to latency, dependency on internet connectivity, and potential privacy issues due to the transmission of sensitive health data. …”
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MAGMA-MICK: A state-of-the-art digital platform facilitating the programmatic implementation of whole genome sequencing for TB care and prevention by Prof Annelies Van Rie, Fulvio Vigilante, Dr. Walter Sanseverino, Prof Annelies Van Rie

“…Methods: We MICK, a state-of-the-art secure digital platform, for the use of NGS to guide the care and prevention of (DR)-TB. …”
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Analyzing the Efficacy of Artificial Intelligence in Facilitating Medico-Legal Investigations and Enhancing Forensic Processes for Emergency Trauma Patients: A Systematic Review by Rajiv Ratan Singh, Sachin Kumar Tripathi, Azad Kumar Bharti, Pradeep Kumar Yadav

“…However, medicolegal concerns must be addressed for responsible AI implementation, including patient privacy, data security, liability, and ethics. Conclusion: AI can revolutionize trauma and emergency care by improving diagnosis, decision-making, and patient outcomes. …”
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The impacts of virtual try-on for online shopping on consumer purchase intention: the moderating role of technology experience by Quan Hong Nguyen, Truong Thi Hanh, Nghiem Le My Hanh, Nguyen Duong Lan Nhi, Dang Ngoc Anh, Ha Thuy Linh

“…The study examines VTO’s effects on purchase intentions and explores the moderating role of technological experience. Data from 557 individuals in Vietnam were analyzed using Structural Equation Modeling (SEM). …”
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Exploring quality of life among elderly persons living with HIV in Accra, Ghana. by Marijanatu Abdulai, Philip Teg-Nefaah Tabong, Harriet Affran Bonful, Adolphina Addo-Lartey, Bismark Sarfo

“…The data was analysed thematically using QSR NVivo 11.…”
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Apical extrusion of debris with different rotary and reciprocating single-file endodontic instrumentation systems: a systematic review and meta-analysis protocol by Muhammad Zubair Ahmad, Durre Sadaf, Marcy McCall MacBain, Ahmed Nabil Mohamed

“…We will measure the statistical heterogeneity by applying the Cochrane Q test and quantify using the I2 statistic. Existence of covariates and any potential heterogeneity will be explored through prespecified subgroup and sensitivity analyses.Ethics and dissemination Approval from an ethical research committee is not required because it will be done using data that have been already published and have no concerns related to the privacy of patients. …”
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Source-Free Domain Adaptation for Cross-Modality Abdominal Multi-Organ Segmentation Challenges by Xiyu Zhang, Xu Chen, Yang Wang, Dongliang Liu, Yifeng Hong

“…While unsupervised domain adaptation (UDA) has shown promise in addressing these issues by transferring knowledge from a different modality (source domain), its reliance on both source and target data during training presents a practical challenge in many clinical settings due to data privacy concerns. …”
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SensorsConnect Framework: World-Wide Web for Internet of Things by Abdelrahman Elewah, Khalid Elgazzar

“…A motivating scenario illustrates its potential impact in real-life situations, such as finding a drive-thru coffee shop or crossing a country border. Using real-time road status and service occupancy data, SensorsConnect enhances Google Maps service recommendations, not only minimizing customer wait times but also distributing workload more evenly across service points. …”
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A systematic review of serious games as tools for STEM education by Talia Tene, Diego Fabián Vique López, Paulina Elizabeth Valverde Aguirre, Nilo Israel Cabezas Oviedo, Cristian Vacacela Gomez, Stefano Bellucci

“…Policymakers are encouraged to support these efforts by providing financial resources and promoting frameworks for ethical, data-secure use of serious games in education. Future research should focus on establishing a globally recognized framework for serious games in STEM, conducting longitudinal studies to evaluate long-term impacts, and exploring diverse educational contexts to ensure inclusive and effective integration.…”
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Health Care Professionals’ Experiences and Opinions About Generative AI and Ambient Scribes in Clinical Documentation: Protocol for a Scoping Review by Carolina Garcia Sanchez, Anna Kharko, Maria Hägglund, Sara Riggare, Charlotte Blease

“…The results will clarify how HCPs use—or avoid using—GenAI in daily health care work. …”
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Exploring knowledge and attitudes toward electronic informed consent among clinical trial participants in China: a cross-sectional study by Ying Wu, Xing Liu, Xiaoying Ge, Xin Tan, Weiwei Yu, Xiaomin Wang

“…However, they also express concerns about data protection and privacy security in eIC. These findings provide a foundation for developing targeted strategies to enhance the adoption and acceptance of eIC among diverse populations.…”
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A cross-sectional study assessing customers’ perception, satisfaction, and attitude toward e-pharmacy services in Saudi Arabia by Ahmed Khaled Bahamdan, Mona Almanasef

“…A self-administered online questionnaire was distributed via social media, and convenience sampling was used to collect data from December 2022 to January 2023. …”
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5G-MobiCare: A Secure 5G Assisted Remote Mobile Health Monitoring Platform by Hemangi Goswami, Tarun Pandey, Hiten Choudhury

“…This setup generates vast amounts of real-time data, making secure device authentication essential to ensure data privacy and security. …”
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Large language models to process, analyze, and synthesize biomedical texts: a scoping review by Simona Emilova Doneva, Sijing Qin, Beate Sick, Tilia Ellendorff, Jean-Philippe Goldman, Gerold Schneider, Benjamin Victor Ineichen

“…We conclude that, despite offering opportunities to manage the growing volume of biomedical data, LLMs also present challenges, particularly in clinical medicine and evidence synthesis, such as issues with transparency and privacy concerns.…”
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Modeling the adoption of urban air mobility based on technology acceptance and risk perception theories: A case study on flying cars by Sangen Hu, Zikang Huang, Ke Wang, Haiyuan Lin, Mingyang Pei

“…Results revealed significant associations between the intention to use flying cars and various factors, including attitudes towards usage, perceived usefulness, and personal innovativeness. …”
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Close to the Comfort Zone: Stakeholders’ Perspectives on Implementing Leisure Activities in Dementia and Eldercare by Golnaz Atefi, Hannah L. Christie, Marjolein E. de Vugt, Michael P. Craven

“…Stakeholders highlighted the importance of tailored activities, ease of use, and privacy. Challenges included resource allocation and availability. …”
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Demographic disparities, service efficiency, safety, and user satisfaction in public bus transit system: A survey-based case study in the city of Charlotte, NC by Sanaz Sadat Hosseini, Babak Rahimi Ardabili, Mona Azarbayjani, Hamed Tabkhi

“…This research examines service limitations, safety concerns, and attitudes towards technological improvements in Charlotte’s transit system, using survey data from 160 participants collected in 2022 and 2023. …”
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Exploring Digital Stress of Finnish Adolescents and Their Parents by Dimitrios Siakas, Niilo Siakas, Kerstin Siakas, Georgios Lampropoulos

“…Results: “Privacy Intrusion”, “Availability stress/Online vigilance”, and “Usefulness” were the most essential stressor factors for both students and parents. …”
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