Critical Smart Functions for Smart Living Based on User Perspectives by Benjamin Botchway, Frank Ato Ghansah, David John Edwards, Ebenezer Kumi-Amoah, Joshua Amo-Larbi

“…Twenty-six critical smart functions for smart living were revealed, with the top three including the ability to protect personal data and information privacy, provide real-time safety and security, and the ability to be responsive to users’ needs. …”
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Group Authentication Key Agreement Protocol Based on Certificateless Cryptography in UAV Network by Yuecheng WANG, Youwen ZHU, Zhiqiang ZHANG

“…However, the network communication environment is open and insecure, necessitating the use of a symmetric key to encrypt and decrypt data during the data exchange process. …”
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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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AI in Medical Questionnaires: Innovations, Diagnosis, and Implications by Xuexing Luo, Yiyuan Li, Jing Xu, Zhong Zheng, Fangtian Ying, Guanghui Huang

“…Future research should pay more attention to model interpretability, system compatibility, validation standardization, and ethical governance to effectively address key challenges such as data privacy, clinical integration, and transparency.…”
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Opportunities, challenges, and requirements for Artificial Intelligence (AI) implementation in Primary Health Care (PHC): a systematic review by Farzaneh Yousefi, Reza Dehnavieh, Maude Laberge, Marie-Pierre Gagnon, Mohammad Mehdi Ghaemi, Mohsen Nadali, Najmeh Azizi

“…However, the most challenges emerged within the stewardship and resource generation functions, with key concerns related to data security and privacy, technical performance issues, and limitations in data accessibility. …”
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Effect of transcranial magnetic stimulation on perioperative neurocognitive dysfunction: study protocol for a systematic review and meta-analysis of randomised controlled trials by Ying Yang, Yongming Tian, Yulan Luo, Jiarong Zeng

“…Meta-analysis will be conducted using STATA V.15.1 statistical software. The data synthesis process will incorporate standardised methodologies, including heterogeneity testing, sensitivity analysis and assessment of publication bias.Ethics and dissemination This study will not involve the collection of biometric information or medical privacy data throughout the research process, thus complying with the exemption criteria outlined in the ‘Measures for Ethical Review of Biomedical Research Involving Human Subjects.’ …”
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Bioethics training needs assessment for HIV research in vulnerable populations: a survey of trainees at college of health sciences, Makerere university by Josephine Nayiga, Stephen Okoboi, Grace Banturaki, Pauline Byakika-Kibwika, Barbara Castelnuovo

“…Descriptive data analysis was performed using STATA Version 17. …”
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Perceptions of academic staff and students of senior high school in implementing game-based exercises in physical education classes—a research protocol for a qualitative descriptiv... by Donald Manlapaz, Jose Avelino Vergara, Keisha Marie Bea Alpuerto, Iszaac Khalil Señora De Los Santos, Michaela Urian Enriquez, Zamantha Zamora Manicio, Joshua Emmanuel Ferrera Mendres, Casey Gwyn Salvaleon Tolosa, Zachary Gabriel Dee Vilela, Zeraia Ezra Gabriel Alonzo Zabat

“…Once done, they will undergo FGDs conducted through Google Meet. Data will be coded and analysed via thematic analysis using manual coding and NVivo V.12 software to summarise central themes and perceptions.Ethics and dissemination This study will abide by the Nuremberg Code, Declaration of Helsinki, Belmont Report, Data Privacy Act of 2012 and National Ethical Guidelines (for health-related research) of 2017. …”
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Effectiveness and safety of acupuncture therapy for inflammatory bowel disease: a protocol of systematic review and meta-analysis by Fan-rong Liang, Ning Sun, Rui-Rui Sun, Yuan-Fang Zhou, Shi-Rui Cheng, Xiao-Dong Deng, Xiang-Yin Ye, Zheng-Jie Li, Gui-Xing Xu, Yu-Zhu Qu, Liu-Yang Huang

“…The primary outcome was symptoms alleviation after acupuncture treatment or even in the follow-up.Ethics and dissemination Ethical approval will not be needed because data of this review are not involved in patient’s information and privacy. …”
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Developing a Behavioral Phenotyping Layer for Artificial Intelligence–Driven Predictive Analytics in a Digital Resiliency Course: Protocol for a Randomized Controlled Trial by Trevor van Mierlo, Rachel Fournier, Siu Kit Yeung, Sofiia Lahutina

“…Ethical safeguards include institutional review board approval, informed consent, and strict data privacy standards. ResultsThis protocol was designed in January 2025. α and β testing of the intervention are scheduled to begin in July 2025, with a soft launch anticipated in August 2025. …”
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Study protocol for a Prospective Observational study of Safety Threats and Adverse events in Trauma (PrO-STAT): a pilot study at a level-1 trauma centre in Canada by Melissa McGowan, Charles Keown-Stoneman, Brodie Nolan, Teodor Grantcharov, Eliane M Shore, Anisa Nazir

“…All consecutive trauma team activations over 12 months will be included, with data collected using audio-visual recordings and physiological monitoring. …”
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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. …”
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From lab to field with machine learning – Bridging the gap for movement analysis in real-world environments: A commentary by Carlo Dindorf, Fabian Horst, Djordje Slijepčević, Bernhard Dumphart, Jonas Dully, Matthias Zeppelzauer, Brian Horsak, Michael Fröhlich

“…Event detection (c) in time series data is the annotation of certain events that are used to extract useful and vital information or to remove unwanted and unnecessary data for further analysis. …”
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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. …”
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Factors Associated with Caregiver Burden in Families of Patients with Palliative and Chronic Illness: A Cross-Sectional Study by Haroen H, Juniarti N, Sari CWM, Prista Sari S, Arovah NI, Pardosi JF, Wibowo DA

“…Data were analyzed using the Rasch model and bivariate tests.Results: A high burden was reported by 50.7% of caregivers, while 39.4% and 9.9% experienced moderate and low burden, respectively. …”
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Qualitative study exploring reintegration of clinical trial participants with HIV to public health services in Johannesburg, South Africa by Samanta Tresha Lalla-Edward, Kelechi Elizabeth Oladimeji, Sibongiseni Thandazani Nxumalo, Bernice Harris, Lizeka Napoles

“…Because transferring PLHIV back to PHCs post-clinical trials may result in decreased access to specialised care or resources that were available during the trial, this study explored insights into challenges faced during reintegration from clinical trial settings into PHCs and antiretroviral therapy (ART) adherence post-clinical trials.Design This cross-sectional study was conducted using a qualitative research approach. Participants were recruited using purposive sampling.Setting The study was conducted at the Ezintsha Research Centre in Johannesburg, South Africa, between November 2022 and February 2023.Participants The study population consisted of PLHIV who had participated in two clinical trials (DORA and ADVANCE) at the Ezintsha Research Centre in Johannesburg, South Africa.Methods Using a semistructured guide, 12 in-depth interviews were conducted with PLHIV until data saturation was reached. …”
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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. …”
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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. …”
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Joint Distributed Computation Offloading and Radio Resource Slicing Based on Reinforcement Learning in Vehicular Networks by Khaled A. Alaghbari, Heng-Siong Lim, Charilaos C. Zarakovitis, N. M. Abdul Latiff, Sharifah Hafizah Syed Ariffin, Su Fong Chien

“…Computation offloading in Internet of Vehicles (IoV) networks is a promising technology for transferring computation-intensive and latency-sensitive tasks to mobile-edge computing (MEC) or cloud servers. Privacy is an important concern in vehicular networks, as centralized system can compromise it by sharing raw data from MEC servers with cloud servers. …”
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Prenatal screening educational interventions for U.S. pregnant women: a scoping review by Yasmine Zerrouki, Sara Burgoa, Goodness Okwaraji, Jennifer Mendonca, Vama Jhumkhawala, Sophie Kelly, Esin Bulut, Shaima Arshad, Elisheva Knopf, Tiffany Follin, Panagiota Kitsantas, Maria C. Mejia, Lea Sacca

“…The five steps according to Arksey and O’Malley York and for the Joanna Briggs Institute (JBI) recommendations for data extraction, analysis, and presentation of results were also used in this review. …”
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