Bibliometric analysis of digital transformation on organization design by Božić Katarina

“…Using the Bibliometrix software package in the R programming language, bibliographic data analysis was performed in order to identify the most influential authors, key topics and future research directions. …”
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Assessing the Effects of Cancer Diagnosis and Coping Strategies on Patients in Vhembe District Hospitals, Limpopo Province by Dorah Ursula Ramathuba, Takalani Friddah Rafundisani, Maria Sonto Maputle

“…A self-administered questionnaire was used to collect data, and the data were analyzed using a software package for descriptive statistics (SPSS version 23). …”
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Exploring the Knowledge and Utilization of Video-Based Surgical Learning Among Medical Students in a Teaching Hospital in Nigeria: A Mixed-Methods Study by Asogun Daniel, Akhaine Jesu-Oboh Precious, Sulymon A. Saka, Vivian Oghobaghase, Ojeh-Oziegbe Oseyomon, Francis Ufuah, Adomi Solomon

“…Quantitative data were analyzed using SPSS version 21 for descriptive statistics, while thematic coding was applied to qualitative data using NVivo. …”
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Healthcare professionals’ perspectives on artificial intelligence (AI)-based mobile applications (apps) for diabetes education and behavioural management by Phei-Ching Lim, Yung-Wey Chong, Qiu-Ting Chie, Hadzliana Zainal, Kok-Lim Alvin Yau, Soo-Huat Teoh

“…However, significant concerns were raised about accessibility for older adults, data privacy, and the apps’ ability to modify entrenched behaviours without human intervention. …”
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Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies by K. M. Karthick Raghunath, C. Rohith Bhat, Venkatesan Vinoth Kumar, Velmurugan Athiyoor Kannan, T. R. Mahesh, K. Manikandan, N. Krishnamoorthy

“…The system guarantees data privacy and utilizes decentralized information analysis using Federated Learning. …”
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A Meta-Reinforcement Learning-Based Poisoning Attack Framework Against Federated Learning by Wei Zhou, Donglai Zhang, Hongjie Wang, Jinliang Li, Mingjian Jiang

“…As a distributed machine learning paradigm, federated learning enables clients to collaboratively train a global model without sharing their raw data, thus preserving data privacy while still utilizing the data. …”
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Generative Artificial Intelligence Tools in Medical Research (GAMER): Protocol for a Scoping Review and Development of Reporting Guidelines by Xufei Luo, Yih Chung Tham, Mohammad Daher, Zhaoxiang Bian, Yaolong Chen, Janne Estill

“…However, the increasing use of GenAI tools in medical research presents challenges, including ethical concerns, data privacy issues, and the potential for generating false content. …”
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A mixed-method study to inform the design of a video observed therapy app to monitor individuals with TB in the Dominican Republic by Julio Arturo Canario-Guzmán, Ricardo Elias-Melgen, Eddys Rafael Mendoza, Luis Felipe Arias, Roberto Espinal, Jeannette Báez, Sarah Iribarren

“…Data integration was achieved by comparing convergent and divergent results.ResultsParticipants expressed a positive attitude towards using DAT to facilitate communication with health personnel to support treatment adherence. …”
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Barriers to access to care in the implementation of telemedicine in public hospitals in Southern Ethiopia: A phenomenological qualitative study. by Getachew Nigussie Bolado, Bizuayehu Atinafu Ataro, Christian Kebede Gadabo, Tamirat Ersino Kebamo, Worku Mimanu Minuta, Abenezer Duta Wolde

“…The data analysis was conducted using OpenCode 4.02 software, and a content thematic analysis was executed following Colaizzi's 7-step method.…”
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Human centered design of AI-powered Digital Therapeutics for stress prevention: Perspectives from multi-stakeholders' workshops about the SHIVA solution by Marco Bolpagni, Susanna Pardini, Silvia Gabrielli

“…Results: Stakeholders perceived AI-based data processing as beneficial for personalized treatment in a secure, privacy-preserving environment. …”
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Analyzing the trend of government support for cloud computing usage in e-government architecture by Muhammad Younus, Eko Priyo Purnomo, Achmad Nurmandi, Dyah Mutiarin, Halimah Abdul Manaf, Fathiya Mumtaz, Tiara Khairunnisa

“…Overall, challenges persist, spanning from concerns regarding data safekeeping and privacy, but it also signifies a strategic transition towards harnessing digital technologies to provide more agile, citizen-focused public services.…”
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Exploring internal challenges and coping strategies in online English learning via Google Meet: A study of 7th grade students in Yogyakarta by Bambang Widi Pratolo, Liza Beliarita, Naif Daifullah Alsulami

“…Data were collected through interviews and documentation, with pseudonyms used to protect students' privacy. …”
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Barriers to and enhancement of the utilization of digital mental health interventions in low-resource settings: Perceptions of young people in Uganda by Erisa Sabakaki Mwaka, Datsun Bazzeketa, Joy Mirembe, Reagan D. Emoru, Adelline Twimukye, Apollo Kivumbi

“…A thematic approach was used to interpret the results. Results Three themes were identified from the data including perceptions of using DMH services, the perceived barriers to utilization, and suggestions for enhancement of DMH for YP in low-resource settings. …”
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Distributed Photovoltaic Short-Term Power Prediction Based on Personalized Federated Multi-Task Learning by Wenxiang Luo, Yang Shen, Zewen Li, Fangming Deng

“…The federal learning framework is used to enhance the privacy of photovoltaic data and improve the model’s performance in a distributed environment. …”
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Advanced Deep Learning Algorithms for Energy Optimization of Smart Cities by Izabela Rojek, Dariusz Mikołajewski, Krzysztof Galas, Adrianna Piszcz

“…Federated learning ensures privacy-preserving data sharing in distributed energy systems, promoting collaboration without compromising security. …”
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A personalized federated learning approach to enhance joint modeling for heterogeneous medical institutions by Hong Ye, Xiangzhou Zhang, Kang Liu, Ziyuan Liu, Weiqi Chen, Bo Liu, Eric WT Ngai, Yong Hu

“…Background Federated Learning (FL) offers a privacy-preserving solution for multi-party data collaboration in smart healthcare. …”
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Adaptive Learning Algorithms for Low Dose Optimization in Coronary Arteries Angiography: A Comprehensive Review by Komal Tariq, Muhammad Adnan Munir, Hafiza Tooba Aftab, Amir Naveed, Ayesha Yousaf, Sajjad Ul Hassan

“…Results: The extracted data shows a comprehensive data on various techniques that are used for low dose CAA, advancements in image segmentation, noise reduction, and operator dose reduction highlight the potential of machine learning techniques. …”
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Bi-Modal Multiperspective Percussive (BiMP) Dataset for Visual and Audio Human Fall Detection by Joe Dibble, Michael C. F. Bazzocchi

“…Typical fall detection systems classify a fall event using either inertial- or vision-based data. Aside from these two modes of input for fall detection, sparse human fall audio data is available. …”
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Quantitative and qualitative analysis of balcony usage and its impact on the landscape of the neighborhood by Fatemeh Foghani, azadeh shahcheraghi, Zahra Sadat Saeideh zarabadi

“…This research is of qualitative-interpretive type, research strategy, case study and data collection was done by field method. In this research, 20 medium-rise residential buildings built in the 90s, consisting of 100 balconies, were selected in the Darya neighborhood of District 2, Tehran. how they were used by users was analyzed. …”
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A Comprehensive Survey on Blockchain-Based Decentralized Storage Networks by Muhammad Irfan Khalid, Ibtisam Ehsan, Ayman Khallel Al-Ani, Jawaid Iqbal, Saddam Hussain, Syed Sajid Ullah, Nayab

“…A decentralized network utilizing end-to-end encryption eliminates the risk of data loss associated with centralized data control by enabling clients to transmit their files securely. …”
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