Are the mothers admitted for childbirth in a tertiary care hospital satisfied with the health care services? A mixed methods study from Mangaluru, Karnataka state, India by S. Vineetha, Mubeena Haleema, Abhay S. Nirgude

“…Methods and material: It is a sequential explanatory mixed method study conducted in the Obstetrics and Gynaecology department in a tertiary college hospital among 291 pregnant women admitted for childbirth. Quantitative data obtained using expert validated questionnaire was entered in an Excel sheet and analyzed using IBM SPSS Version 23. …”
Get full text

Heuristic Usability Evaluation of Web-Based COVID-19 Management Dashboard by Somayyeh Zakerabasali, Farnaz Salehian

“…Background and Aim: Today, information dashboards are the main tools for understanding and extracting knowledge from large data sets and can be used in various forms by healthcare providers. …”
Get full text

Assessment of Patients' Knowledge and Awareness about their Rights and Duties by Jasim N. Al-Asadi, Alaa H. Abed, Sabah A. Shami, Husam Al-Shammary, Shukrya K. Khalaf

“…Data analysis was done using SPSS version 19. Chi-square test was used to compare the proportions among the various groups and a P-value of <0.05 was considered to be statistically significant. …”
Get full text

Barriers to Sexual and Reproductive Health and Rights of Migrant and Refugee Youth: An Exploratory Socioecological Qualitative Analysis by Michaels Aibangbee, Sowbhagya Micheal, Pranee Liamputtong, Rashmi Pithavadian, Syeda Zakia Hossain, Elias Mpofu, Tinashe Moira Dune

“…The focus groups were co-facilitated by youth project liaisons to ensure their authenticity and validity. The data were analysed thematically and interpreted using socioecological theory. (3) Results: The findings identified socioecological barriers, a lack of awareness about and access to services, and sociocultural dissonance as leading to the under-implementation of SRHRs services. …”
Get full text

Barriers and facilitators of transition of adolescents living with HIV into adult care in under-resourced settings of Southern Ethiopia: a qualitative study by Mulugeta Shegaze Shimbre, Belay Boda Bodicha, Abakundana Nsenga Ariston Gabriel, Lubna Ghazal, Kedi Jiao, Wei Ma

“…Purposive sampling was used to gather data through in-depth interviews (IDIs) and focus group discussions (FDGs) involving ALWHs and their parents. …”
Get full text

Evaluating Eye Tracking Technology in Nursing Education: A Scoping Review on Medication Administration Training by Jiranut Chaichana, Rob Eley, Chris Watling, Linda Ng

“…<b>Background:</b> Eye tracking technology, when used in nursing, helps to reduce medication errors by analyzing eye movements. …”
Get full text

Artificial intelligence enabled smart mask for speech recognition for future hearing devices by Hira Hameed, Lubna, Muhammad Usman, Jalil Ur Rehman Kazim, Khaled Assaleh, Kamran Arshad, Amir Hussain, Muhammad Imran, Qammer H. Abbasi

“…The collected data are fed into well-known machine-learning models for classification. …”
Get full text

Factors Influencing the Uptake of Adolescents’ Sexual and Reproductive Health Services in Rubanda District, South Western Uganda. by Tayebwa, Amon

“…Key informant interviews were also carried out at selected health facilities. Quantitative data was analysed using Statistical Package for Social Sciences (SPSS) version 24. …”
Get full text

DiReDi: Distillation and Reverse Distillation for AIoT Applications by Chen Sun, Qiang Tong, Wenshuang Yang, Wenqi Zhang

“…When the user needs to update the edge-AI model to better fit the actual scenario, two reverse distillation (RD) processes are employed to extract the knowledge &#x2013; the difference between user preferences and the manufacturer&#x0027;s presumptions from the edge-AI model using the user&#x0027;s exclusive data. Only the extracted knowledge is reported back to the upper management cloud server to update the cloud AI model, thus protecting user privacy by not using any exclusive data. …”
Get full text

Leveraging federated learning for DoS attack detection in IoT networks based on ensemble feature selection and deep learning models by Tasneem Qasem Al-Ghadi, Selvakumar Manickam, I. Dewa Made Widia, Eka Ratri Noor Wulandari, Shankar Karuppayah

“…However, IoT systems face numerous security threats, making data protection against cyberattacks essential. While deploying an Intrusion Detection System (IDS) in a centralized framework can lead to data leakage, Federated Learning (FL) offers a privacy-preserving alternative by training models locally and transmitting only the updated model weights to a central server for aggregation. …”
Get full text

BERT ensemble based MBR framework for android malware detection by Faisal S. Alsubaei, Abdulwahab Ali Almazroi, Walid Said Atwa, Abdulaleem Ali Almazroi, Nasir Ayub, Noor Zaman Jhanjhi

“…By leveraging their strengths, the MBR model introduces significant innovation. By using ensemble methods on static data, the MBR framework not only provides a reliable malware detection solution but also presents a novel strategy. …”
Get full text

Emergency department care experiences among 2SLGBTQQIA+ patients: a mixed methods study by Sidonie Chard, Sawyer Karabelas-Pittman, Kel Martin, Elliot Chapple, David Messenger, Susan A. Bartels, Melanie Walker

“…Participants were recruited from the Kingston Health Sciences Centre’s ED, Urgent Care Centre, and at community-based organisations. Quantitative data were analysed using chi-squared tests, while qualitative data underwent thematic analysis. …”
Get full text

The reliability and validity of a non-wearable indoor positioning system to assess mobility in older adults: A cross-sectional study. by Isabel B Rodrigues, Patricia Hewston, Jonathan Adachi, Sayem Borhan, George Ioannidis, Alexa Kouroukis, Carolyn Leckie, Andrea Lee, Alexander Rabinovich, Parthipan Siva, Rachel Swance, Suleman Tariq, Lehana Thabane, Alexandra Papaioannou

“…Currently, there is a lack of consensus on which assessments to use to assess walking speed and how to continuously monitor walking speed outside of the clinic. …”
Get full text

The Applications of Large Language Models in Mental Health: Scoping Review by Yu Jin, Jiayi Liu, Pan Li, Baosen Wang, Yangxinyu Yan, Huilin Zhang, Chenhao Ni, Jing Wang, Yi Li, Yajun Bu, Yuanyuan Wang

“…Relevant information on application details and performance metrics was extracted during the data charting of eligible articles. ResultsA total of 95 articles were drawn from 4859 studies using LLMs for mental health tasks. …”
Get full text

A Lightweight Intrusion Detection System with Dynamic Feature Fusion Federated Learning for Vehicular Network Security by Junjun Li, Yanyan Ma, Jiahui Bai, Congming Chen, Tingting Xu, Chi Ding

“…Experimental evaluation on the CAN-Hacking dataset shows that the proposed intrusion detection system achieves more than 99% F1 score with only 1.11 MB of memory and 81,863 trainable parameters, while maintaining low computational overheads and ensuring data privacy, which is very suitable for edge device deployment.…”
Get full text

Harnessing artificial intelligence of things for cardiac sensing: current advances and network-based perspectives by Hao Ren, Hao Ren, Hao Ren, Fengshi Jing, Yongcong Ma, Ruining Wang, Chaocheng He, Yufan Wang, Jiandong Zhou, Yu Sun

“…Looking ahead, we anticipate that this field will increasingly prioritize data privacy protection, particularly in the era of large language models, to address emerging challenges and ensure sustainable growth. …”
Get full text

Adoption of internet of things in residential smart homes: A structural equation modeling approach by Amir Mohammad Norouzzadeh, Seyed Pendar Toufighi, Jan Vang, Abolfazl Edalatipour

“…This study explores the behavioral factors influencing IoT adoption in residential smart buildings. Using a descriptive-survey method, data were collected from 97 companies involved in the smart home sector through structured questionnaires. …”
Get full text

Enhancing reliability and security in cloud-based telesurgery systems leveraging swarm-evoked distributed federated learning framework to mitigate multiple attacks by S. Punitha, K. S. Preetha

“…To address these issues, a distributed framework based on federated learning is proposed, integrating Optimized Gated Transformer Networks (OGTN) with layered chaotic encryption schemes to mitigate multiple unknown cyberattacks while preserving data privacy and integrity. The framework was implemented using TensorFlow Federated Learning Libraries (FLL) and evaluated on the UNSW-NB15 dataset. …”
Get full text

Digital Transformation in Higher Education: Enhancing Support Services Through Mobile Apps by Anusuyah Subbarao, Nasreen Khan, Aysa Siddika, Muhammad A. Fathullah, Mohd A. Sanwani, Fia F. Adam, Debrina V. Ferezagia, Melisa B. Altamira

“…In contrast, other elements such as ease of use, competence, accessibility, and data privacy were not deemed significant concerns by the students. …”
Get full text

Large Language Models in Medical Diagnostics: Scoping Review With Bibliometric Analysis by Hankun Su, Yuanyuan Sun, Ruiting Li, Aozhe Zhang, Yuemeng Yang, Fen Xiao, Zhiying Duan, Jingjing Chen, Qin Hu, Tianli Yang, Bin Xu, Qiong Zhang, Jing Zhao, Yanping Li, Hui Li

“…ObjectiveThis scoping review aimed to provide an overview of the current state of research regarding the use of LLMs in medical diagnostics. The study sought to answer four primary subquestions, as follows: (1) Which LLMs are commonly used? …”
Get full text