Toward a Domain-Overarching Metadata Schema for Making Health Research Studies FAIR (Findable, Accessible, Interoperable, and Reusable): Development of the NFDI4Health Metadata Sch... by Haitham Abaza, Aliaksandra Shutsko, Sophie A I Klopfenstein, Carina N Vorisek, Carsten Oliver Schmidt, Claudia Brünings-Kuppe, Vera Clemens, Johannes Darms, Sabine Hanß, Timm Intemann, Franziska Jannasch, Elisa Kasbohm, Birte Lindstädt, Matthias Löbe, Katharina Nimptsch, Ute Nöthlings, Marisabel Gonzalez Ocanto, Tracy Bonsu Osei, Ines Perrar, Manuela Peters, Tobias Pischon, Ulrich Sax, Matthias B Schulze, Florian Schwarz, Carolina Schwedhelm, Sylvia Thun, Dagmar Waltemath, Hannes Wünsche, Atinkut A Zeleke, Wolfgang Müller, Martin Golebiewski

“…The National Research Data Infrastructure for Personal Health Data (NFDI4Health) seeks to optimize data sharing among the clinical, epidemiological, and public health research communities while preserving privacy and ethical regulations. …”
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Swachh Bharat Mission Gramin: Uptake and challenges in rural Coimbatore by Iswarya Natarajan, Kathiravan Rajendran, Seetharaman Narayanan, Jeevithan Shanmugam

“…Quantitative data were analysed using Statistical Package for the Social Sciences (SPSS) v23 and qualitative data using manual thematic content analysis. …”
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Exploring the barriers and facilities migrants face in accessing COVID-19 vaccines in Malaysia: A qualitative study. by Tharani Loganathan, Amirah Zafirah Zaini, Hazreen Abdul Majid

“…Digital appointment systems excluded many migrants due to language and literacy barriers, data privacy concerns, and the need for identity documents. …”
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Barriers and facilitators of the electronic medical record adoption among healthcare providers in Addis Ababa, Ethiopia by Tadesse Alemu Bekele, Lemma Derseh Gezie, Herman Willems, Jonathan Metzger, Biruhtesfa Abere, Blen Seyoum, Loko Abraham, Naod Wendrad, Selamawit Meressa, Bethel Desta, Tariku Nigatu Bogale

“…Methods A descriptive-phenomenological approach was used. Data were collected from one hospital and three health centers from 5–13 June, 2023, that implemented the EMR. …”
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Digital technologies for the Sustainable Development Goals by Dharmendra Hariyani, Poonam Hariyani, Sanjeev Mishra

“…This study is motivated by the growing significance of DTs in addressing sustainability challenges and their critical contribution to achieving the SDGs while identifying barriers to their adoption. Using a systematic review, this review examines the contributions of various DTs, i.e., AI, IoT, blockchain, cloud computing, big data analytics, remote sensing, and GIS in addressing SDGs. …”
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Zero-Touch Network Security (ZTNS): A Network Intrusion Detection System Based on Deep Learning by Emad-Ul-Haq Qazi, Tanveer Zia, Muhammad Hamza Faheem, Khurram Shahzad, Muhammad Imran, Zeeshan Ahmed

“…The rapid evaluation of smart cities has revolutionized the research and development field to a very extensive level which presents challenges in handling massive amounts of data. However, the integration of IoT into various aspects of life has introduced various challenges related to the security and privacy of IoT systems. …”
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A comprehensive survey on AI-enabled secure social industrial Internet of Things in the agri-food supply chain by Sajal Halder, Md Rafiqul Islam, Quazi Mamun, Arash Mahboubi, Patrick Walsh, Md Zahidul Islam

“…The findings indicate that AI-driven security solutions significantly enhance trust management, anomaly detection, and data privacy in SIIoT networks. The proposed taxonomy categorizes AI-enabled security mechanisms into five distinct areas, offering a structured reference for future research and practical implementations. …”
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Advancing Healthcare: Intelligent Speech Technology for Transcription, Disease Diagnosis, and Interactive Control of Medical Equipment in Smart Hospitals by Ahmed Elhadad, Safwat Hamad, Noha Elfiky, Fulayjan Alanazi, Ahmed I. Taloba, Rasha M. Abd El-Aziz

“…The federated learning framework enabled collaborative model training across multiple hospital sites, preserving patient privacy by avoiding raw data exchange. This distributed approach allowed the model to learn from diverse, real-world data while ensuring compliance with strict data protection standards. …”
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Developing an artificial intelligence-based progressive growing GAN for high-quality facial profile generation and evaluation through turing test and aesthetic analysis by Shahab Kavousinejad, Kazem Dalaie, Mohammad Behnaz, Soodeh Tahmasbi, Asghar Ebadifar, Hoori Mirmohammadsadeghi

“…This approach offers valuable applications in orthodontic education, treatment simulation, and data augmentation, particularly where patient privacy and dataset balance are critical. …”
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Availability and utilization of sexual and reproductive health services among adolescents of Godawari Municipality, Nepal: A cross-sectional study. by Laxmi Gautam, Aastha Maharjan, Harikrishna Bhattarai, Sujan Gautam

“…Only 13.22% of them had ever used ASRH services, and the reasons for not using services were the lack of realization of the need for services (60.39%), while 14.55% of them felt that privacy was not maintained at all. …”
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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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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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Barriers and facilitators to oral pre-exposure prophylaxis uptake among adolescents girls and young women at elevated risk of HIV acquisition in Lilongwe, Malawi: A qualitative stu... by Simon C Nicholas, Maureen Matewere, Agatha Bula, Mercy Tsidya, Mina C Hosseinipour, Mitch Matoga, Alinane Linda Nyondo Mipando

“…The data were digitally recorded, managed using NVivo software and analysed using a thematic approach guided by the Consolidated Framework for Implementation Research (CFIR). …”
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A Novel Crowdsourcing-Assisted 5G Wireless Signal Ranging Technique in MEC Architecture by Rui Lu, Lei Shi, Yinlong Liu, Zhongkai Dang

“…This study designs a progressive solution by (1) building a crowdsourced data collection network, using mobile terminals equipped with GPS technology to automatically collect device signal features, replacing inefficient manual drive tests; (2) developing a progressive signal update algorithm that integrates real-time crowdsourced data and historical signals to optimize the signal fingerprint database in dynamic environments; (3) establishing an edge service architecture to offload signal matching and trajectory estimation tasks to MEC nodes, using lightweight computing engines to reduce the load on the core network. …”
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Retracted: An Enhanced Hybrid Glowworm Swarm Optimization Algorithm for Traffic-Aware Vehicular Networks by Pratima Upadhyay, Venkatadri Marriboina, Shiv Kumar, Sunil Kumar, Mohd Asif Shah

“…Also, the safety messages are modified or discarded by the attacker or any other node and it may lead to the loss of privacy, integrity, confidentiality, and authentication of the data.So to enhance the security of VANETs, it is very much essential to invent a secure communication protocol, to protect the infrastructure of the network and the confidentiality of the data. …”
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Advancing the Sensitivity Frontier in digital contact tracing: Comparative analysis of proposed methods toward maximized utility by Junko Ami, Yanbo Pang, Hiroshi Masui, Takashi Okumura, Yoshihide Sekimoto

“…During the COVID-19 pandemic, many countries adopted Digital Contact Tracing (DCT) technology to control infections. However, the widely-used Bluetooth Low Energy (BLE)-based DCT requires both the infected individual and the contact to have the application activated to detect exposure. …”
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Potential of Internet of Medical Things (IoMT) applications in building a smart healthcare system: A systematic review by Ruby Dwivedi, Divya Mehrotra, Shaleen Chandra

“…However mass adoption seems challenging due to factors like privacy and security of data, management of large amount of data, scalability and upgradation etc. …”
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A blockchain technology for improving financial flows in humanitarian supply chains: benefits and challenges by Saurav Negi

“…Key challenges identified include scalability issues, high cost and resource requirements, lack of network reliability, data privacy, supply chain integration, knowledge and training gaps, regulatory frameworks and ethical considerations. …”
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A novel integration of multi-stocked gated variant recurrent units and Kolmogorov-Arnold tuned deep training networks for anchoring the intrusion detection against computer attacks by M. Saritha, Saidireddy Malgireddy

“…The major components of the proposed model: (1) Data-Collection and Pre-processing (2) Feature Extraction using MSV-GRU (3) FKA-DLN model for the better classification. …”
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Enhancing Incentive Schemes in Edge Computing through Hierarchical Reinforcement Learning by Gowtham R, Vatsala Anand, Yadati Vijaya Suresh, Kasetty Lakshmi Narasimha, R. Anil Kumar, V. Saraswathi

“… Edge learning is a distributed approach for training machine learning models using data from edge devices. It preserves privacy by avoiding direct data sharing. …”
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