Emotional Factor Recognition and Teaching Strategy Adjustment in Cultural Teaching Supported by Artificial Intelligence by Yu Xiaochen

“…Emotion recognition technology collects students’ facial expressions, speech features, and physiological data, and uses deep learning algorithms to analyze students’ emotional states in real time, providing accurate feedback support for teaching. …”
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EXPLORING BIBLIOSHINY FOR MAPPING ARTIFICIAL INTELLIGENCE RESEARCH IN EDUCATION by Hanifah Indah Rahmawati, Zenita Sabitri, Mutiara Nabila Azmi, Danny Meirawan

“… This study critically analyzes the development of artificial intelligence (AI) research in education using a bibliometric approach, leveraging data from 191 Scopus-indexed documents during the 2015-2024 period. …”
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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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Navigating digital frontiers in UAE healthcare: A qualitative exploration of healthcare professionals' and patients' experiences with AI and telemedicine. by Azza Alkaabi, Deena Elsori

“…The results highlight the need to address such limitations, adequately train healthcare professionals, and enhance data privacy. The study also lays a foundation for further research into contextual challenges hindering the effective adoption and implementation of AI and telemedicine in different healthcare settings in order to develop a generic, context-specific framework that will guide the adoption of such emerging technologies in the global healthcare industry.…”
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SSLA: a semi-supervised framework for real-time injection detection and anomaly monitoring in cloud-based web applications with real-world implementation and evaluation by Seyed Salar Sefati, Bahman Arasteh, Octavian Fratu, Simona Halunga

“…SSLA uses semi-supervised learning to utilize both labeled and unlabeled data, reducing the reliance on extensive annotated datasets. …”
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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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Challenges and Lessons Learned in Managing Web-Based Survey Fraud for the Garnering Effective Outreach and Research in Georgia for Impact Alliance–Community Engagement Alliance Sur... by Leslie S Craig, Christina L Evans, Brittany D Taylor, Jace Patterson, Kaleb Whitfield, Mekhi Hill, Michelle Nwagwu, Mohamed Mubasher, Robert A Bednarczyk, Gail G McCray, Cheryl L R Gaddis, Natasha Taylor, Emily Thompson, Ursula Douglas, Saundra K Latimer, Sedessie G Spivey, Tabia Henry Akintobi, Rakale Collins Quarells

“… Abstract BackgroundConvenience, privacy, and cost-effectiveness associated with web-based data collection have facilitated the recent expansion of web-based survey research. …”
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The Application of Digital Intelligence Technology in the Management of Non-Hospitalized Patients with Rare Diseases by YAO Yiyang, GAO Yi, GUO Yixuan, QIN Zhuoyue, ZHANG Yaofang, JING Jiaqi, XIE Jing, GUO Jian, ZHANG Shuyang

“…Methods We designed the search strategy and used the words " rare diseases"" patient management"" non-hospitalized management"" community management"" digital intelligence"" big data"" telemedicine" as MESH terms or free words. …”
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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

“…Federated learning has recently gained significant attention as a method for building machine learning models due to its ability to preserve data privacy while delivering improved performance. …”
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Predicting Student Dropout Through Text and Media Content Analysis of VKontakte Profiles by Sergei S. Gorshkov, Dmitry I. Ignatov, Anastasia Yu. Chernysheva

“…While this approach depends on publicly available VK data and may be limited by privacy settings, it still provides useful insights. …”
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Technology-enabled CONTACT tracing in care homes in the COVID-19 pandemic: the CONTACT non-randomised mixed-methods feasibility study by Carl A Thompson, Thomas A Willis, Amanda Farrin, Adam Gordon, Amrit Daffu-O’Reilly, Catherine Noakes, Kishwer Khaliq, Andrew Kemp, Tom Hall, Chris Bojke, Karen Spilsbury

“…Quantitative data were analysed using descriptive statistical methods, and qualitative data were thematically analysed using normalisation process theory. …”
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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

“…Implementation of NGS into routine TB care requires technologies that communicate WGS data in a transparent, interpretable and actionable way. …”
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Multi-key fully homomorphic encryption scheme based on NTRU bootstrapping by ZHENG Junhua, JIANG Hongwei, LIU Rong, LI Yixiu, LI Wen, WENG Jian

“…Finally, the potential application of the scheme in cross-departmental supervision scenarios of multi-industry and multi-source data sales data was explored, which helped the tax department to realize tax verification under the premise of protecting data privacy, and helped promote the digital transformation and healthy development of various industries.…”
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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

“…Unlike humans, IoT devices lack a unified framework like the WWW for collaboration and data sharing. This is primarily due to 1) separate infrastructure often required for IoT security and privacy and 2) challenges of limited connectivity, device heterogeneity, and evolving technology. …”
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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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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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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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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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