“Invisible wounds of childbirth”; women’s experiences of obstetric violence: a phenomenological qualitative study by Esra Özer, Döndü Sevimli Güler

“…The interview data were transcribed and then subjected to qualitative content analysis in accordance with Standards for Qualitative Research Reporting (SRQR) using Graneheim and Lundman’s content analysis method. …”
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The Effect of AI (Artificial Intelligence) in Education on Student Motivation: A Systematic Literature Review by Badarudin, Lalu Parhanuddin, Ahmad Tohri, Muhammad Suhardi

“…However, challenges such as limited technological access, resistance to change, and concerns regarding data privacy and ethics remain critical barriers. …”
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A Systematic Survey of Distributed Decision Support Systems in Healthcare by Basem Almadani, Hunain Kaisar, Irfan Rashid Thoker, Farouq Aliyu

“…Finally, it discusses open issues as future research directions in the field of DDSSs in the healthcare sector, including data structure standardization, alert fatigue for healthcare workers using DDSSs, and the lack of adherence of emerging technologies like blockchain to medical regulations.…”
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ROBOTISATION AND SERVICE AUTOMATION IN THE TOURISM AND HOSPITALITY SECTOR: A META-STUDY (1993-2024) by Dušan MANDIĆ, Miroslav KNEŽEVIĆ, Dušan BOROVČANIN, Aleksandra VUJKO

“…Analyses 310 publications published in the last 32 years processed using Google Scholar search engine. The data sets used for the observations consist primarily of key research works, predominantly appearing in peer-reviewed international journals. …”
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Artificial intelligence assistance in English for communication competence of english for specific purposes by Muchamad Muchibbuddin Waly, Aniqotul Milla Zakiyyah

“…A sequential explanatory mixed-methods design collected data from thirty-one undergraduate students using a Likert-scale questionnaire followed by semi-structured interviews to provide more detailed insights. …”
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A Survey on Hybrid-CNN and LLMs for Intrusion Detection Systems: Recent IoT Datasets by Saida Elouardi, Anas Motii, Mohammed Jouhari, Abdoul Nasser Hassane Amadou, Mustapha Hedabou

“…Various IDS methodologies, including those using Machine Learning (ML), Deep Learning (DL) and Large Language Models (LLMs), are employed to identify intrusions within the data; however, improvements to the detection systems are still needed. …”
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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 NLP analysis of digital demand for healthcare jobs in China by Yirui Chen, Xinrui Zhan, Wencan Yang, Xueying Yan, Yuxin Du, Tieniu Zhao

“…Compliance and data privacy skills were also highly demanded, reflecting the healthcare sector’s commitment to regulatory adherence and data security. …”
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Audio–Visual Synchronization and Lip Movement Analysis for Real-Time Deepfake Detection by Muhammad Javed, Zhaohui Zhang, Fida Hussain Dahri, Asif Ali Laghari, Martin Krajčík, Ahmad Almadhor

“…This study contributes to the field by providing a robust real-time solution for detecting deepfakes in audio–visual synthetic data, ensuring enhanced detection accuracy and effective generalization across various deepfake manipulations and demographic data.…”
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Investigative genetic genealogy practices warranting policy attention: Results of a modified policy Delphi. by Christi J Guerrini, Louiza Kalokairinou, Jill O Robinson, Whitney Bash Brooks, Stephanie M Fullerton, Sara Huston, Jacklyn Dahlquist, Diana Madden, Norah Crossnohere, Nicola Campoamor, John F P Bridges, Amy L McGuire

“…These top priority practices relate to: consent and notification; case eligibility and criteria; data management, privacy, and security; and governance and accountability. …”
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SparseBatch: Communication-efficient Federated Learning with Partially Homomorphic Encryption by Chong Wang, Jing Wang, Zheng Lou, Linghai Kong, WeiSong Tao, Yun Wang

“…It operates by aggregating local gradient updates contributed by participating clients, all the while safeguarding the privacy of sensitive data. Industrial FL frameworks employ additively homomorphic encryption (HE) to ensure that local gradient updates are masked during aggregation, guaranteeing no update is revealed. …”
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Exploring the promising role of internet of things in urban water systems: a comprehensive global analysis of insights, trends, and research priorities by Shaher Zyoud

“…Most explored areas include water quality monitoring, leak detection, smart metering, and demand management, while challenges in the future lie in data security, privacy, and interoperability. Despite growing research interests, gaps remain in standardization, community engagement, and developing robust IoT architectures. …”
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Cross-Room CO₂-Based Presence Detection for Occupancy Profiling by Jelle Vanhaeverbeke, Emiel Deprost, Steven Verstockt, Sofie van Hoecke

“…The first contribution involves the development of a presence detection model based on CO2 data, which is easy to measure and non-privacy intrusive. …”
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Unlocking potential of open source model training in decentralized federated learning environment by Ekaterina Pavlova, Grigorii Melnikov, Yury Yanovich, Alexey Frolov

“…Decentralized Federated Learning (DFL) offers decentralized approaches to model training while safeguarding data privacy and ensuring resilience against adversarial participants. …”
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Money Laundering Practices and Singapore’s Steps Against Indonesian Tax Amnesty by Septyanto Galan Prakoso, Royce Kharisma Agung Wibowo, Nadia Dian Ardita, Ferdian Ahya Al Putra, Retnaningtyas Puspitasari

“…Eitemen and Money Laundering Concept itself. This paper uses an explanative qualitative method, and a literature study to obtain the data to strengthen this paper. …”
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Patient Satisfaction Regarding Quality Nursing Care by Valentina Christi, Anandi Macwan, Sangita Valand, Dolita Gohil

“…Overall the data showed that patientrsquos expectations in some aspects were not sufficiently matched. …”
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Policy Factors Affecting the Technological Catch-up of Electronic Health Services in Iran through Blockchain Technology by Reza Naghizadeh

“…According to the Blockchain Opportunity window, a technological and economic catch-up is possible in e-health services in the country. Decentralization, data transparency, security and privacy are the key features of Blockchain technology. …”
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Transformation of Dependent Rights In The Digital Era A Study In Electronic Implementation by Waradatun Nafi’ah, Arofa, Andianita Nur Ilahiyah, Moh Basri, Ahmad Musadad

“…However, in its implementation, there are still various obstacles, such as limited technological infrastructure, low public digital literacy, and challenges in maintaining data security and user privacy. This study uses normative juridical methods, utilizing legal and conceptual approaches to examine the effectiveness of regulations regarding electronic liens. …”
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Blockchain-Enhanced Security for 5G Edge Computing in IoT by Manuel J. C. S. Reis

“…The rapid expansion of 5G networks and edge computing has amplified security challenges in Internet of Things (IoT) environments, including unauthorized access, data tampering, and DDoS attacks. This paper introduces EdgeChainGuard, a hybrid blockchain-based authentication framework designed to secure 5G-enabled IoT systems through decentralized identity management, smart contract-based access control, and AI-driven anomaly detection. …”
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Why We Disclose on Social Media? Towards a Dual-Pathway Model by Qiyu Bai, Qi Dan, Yumin Choi, Siyang Luo

“…A moderated mediation model was proposed and tested using cross-sectional survey data collected from 1519 Chinese netizens. …”
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