Health Care Workers’ Perspectives on the Barriers and Facilitators to Digital Health Technology Use to Support Symptomatic Cancer Diagnosis in Southern Africa: Qualitative Study by Kirsten D Arendse, Sarah Day, Bothwell Takaingofa Guzha, Tasleem Ras, Valerie Anne Sills, Natalie Tegama, Jennifer Moodley, Fiona M Walter, Suzanne E Scott

“…We used the framework method to analyze the data and developed themes that encompassed patterns and meaning in the data to answer the research question. …”
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Intrusion Detection Using Machine Learning for Risk Mitigation in IoT-Enabled Smart Irrigation in Smart Farming by Abhishek Raghuvanshi, Umesh Kumar Singh, Guna Sekhar Sajja, Harikumar Pallathadka, Evans Asenso, Mustafa Kamal, Abha Singh, Khongdet Phasinam

“…In this framework, the NSL KDD data set is used as an input data set. In the preprocessing of the NSL-KDD data set, first all symbolic features are converted to numeric features. …”
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Hypothetical Preferences and Concerns for Long-Acting Injectable HIV PrEP Use Among Female Barmaids in Ubungo, Dar Es Salaam, Tanzania by Akyoo WO, Mosha IH, Mpembeni RM, Jahn A

“…Interviews were conducted using a guide with semi-structured questions. We adopted an inductive approach for analyzing data.Findings: The majority of PrEP non-users expressed no preference for any form of PrEP, while oral PrEP-users preferred LAI PrEP. …”
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Fall Detection Using Federated Lightweight CNN Models: A Comparison of Decentralized vs. Centralized Learning by Qasim Mahdi Haref, Jun Long, Zhan Yang

“…The models were trained using three random seeds to ensure result robustness and stability across varying data partitions. …”
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The relevance of implementing the employee digital profile as an element of the employer’s HR policy by O. V. Shcherbakova

“…At the same time, the lack of normative methodologies for the creation and operation of employee digital profiles and comprehensive scientific research predetermine increasing risks of violation of personal data of employees, privacy of employees, as well as discrimination in making legally significant decisions. …”
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xFedCAV: Cyberattacks on Leader and Followers in Automated Vehicles With Cooperative Platoons Using Federated Agents by Guanyu Lin, Sean Qian, Zulqarnain H. Khattak

“…Our framework leverages federated learning to enhance privacy and security, using Shapley Additive exPlanations (SHAP) for interpretable detection. …”
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Analysis of Service Quality on the Starbucks Indonesia Application Using E-SERVQUAL and Importance Performance Analysis (IPA) by Palmarosa Ardianti Putri Hardhika, Minto Waluyo

“…This study aims to evaluate the app’s service quality using E-ServQual method, which assesses seven dimensions: efficiency, reliability, fulfillment, privacy, responsiveness, compensation, and contact. …”
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Tabular transformer generative adversarial network for heterogeneous distribution in healthcare by Ha Ye Jin Kang, Minsam Ko, Kwang Sun Ryu

“…However, privacy concerns have hindered their widespread use. …”
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Crypto management: a novel organizational management model based on blockchain by Juanjuan LI, Ge WANG, Xiao WANG, Junqing LI, Yong YUAN, Fei-Yue WANG

“…Aim to deal with the problem of data, trust and timeliness asymmetry faced by modern organizational management from the root, a novel organizational management model towards Web 3.0 namely crypto management was proposed.It was enabled by blockchain technology and smart contracts based on it, supported by the federated data, organized in the form of DAO (decentralized autonomous organization), and driven by the incentive mechanism with NFT (non-fungible token) as the core.The primary goal of crypto management was to realize trustable, reliable and usable real-time management decision-making under the premise of data security and privacy protection.The framework of crypto management was formulated, its core components and implementation mode were discussed, and its operation process using the example of personnel performance management was also introduced.Towards the end, the potential future works in this emerging new area were discussed.…”
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A New Multistage Encryption Scheme Using Linear Feedback Register and Chaos-Based Quantum Map by Adel R. Alharbi, Jawad Ahmad, null Arshad, Sajjad Shaukat Jamal, Fawad Masood, Yazeed Yasin Ghadi, Nikolaos Pitropakis, William J Buchanan

“…To address these concerns and keep data safe, a robust privacy-preserving cryptosystem is necessary. …”
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Problem of Harmonization of Legal Norms with the Needs of Police Investigations by Using High-Tech Instruments for Searching Information by Yu. V. Hnusov, V. M. Strukov, O. O. Mozhayev

“…The problem of harmonization of legal norms with the needs of police investigations with the use of high-tech data search tools has been analyzed. …”
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Opportunistic access control scheme for enhancing IoT-enabled healthcare security using blockchain and machine learning by Mohd Anjum, Naoufel Kraiem, Hong Min, Ashit Kumar Dutta, Yousef Ibrahim Daradkeh, Sana Shahab

“…These security measures ensure that only authorized entities can access patient/user health information, preventing unauthorized entries and data downloads. However, recent sophisticated security and privacy attacks such as data breaches, data integrity issues, and data collusion have raised concerns in the healthcare industry. …”
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Using Inertial Measurement Units and Machine Learning to Classify Body Positions of Adults in a Hospital Bed by Eliza Becker, Siavash Khaksar, Harry Booker, Kylie Hill, Yifei Ren, Tele Tan, Carol Watson, Ethan Wordsworth, Meg Harrold

“…Movement data were captured using five IMU Xsens DOTs attached to the forehead, wrists and ankles. …”
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Assessing the practicality of using freely available AI-based GPT tools for coach learning and athlete development by Katherine A. O'Brien, Sarah Prentice

“…Despite the strengths, there were also associated risks and pitfalls when using this process such as the strength and robustness of the applicable statistical outcomes and tensions between keeping the input data within the context and ensuring that the context did not breach privacy issues. …”
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Movement Direction Classification Using Low-Resolution ToF Sensor and LSTM-Based Neural Network by Sejik Oh, Kyoung Min Lee, Seok Young Lee, Nam Kyu Kwon

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Value of Artificial Intelligence for Enhancing Suspicion of Cardiac Amyloidosis Using Electrocardiography and Echocardiography: A Narrative Review by Martha Grogan, Francisco Lopez‐Jimenez, Spencer Guthrie, Nisith Kumar, Reuben Langevin, Isabelle Lousada, Ronald Witteles, Ajay Royyuru, Michael Rosenzweig, Sarah Cairns‐Smith, David Ouyang

“…Thirteen studies met inclusion criteria with sample sizes ranging from 50 to 2451 patients. Four studies used ECG data, 8 used echocardiography data, and 1 used both. …”
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Public Health Using Social Network Analysis During the COVID-19 Era: A Systematic Review by Stanislava Gardasevic, Aditi Jaiswal, Manika Lamba, Jena Funakoshi, Kar-Hai Chu, Aekta Shah, Yinan Sun, Pallav Pokhrel, Peter Washington

“…We highlight the ethical concerns related to the use of social media data, such as privacy and consent, underscoring the potential of integrating ethical SNA with more inclusive, human-centered practices to enhance the effectiveness and community buy-in of emerging computational public health efforts.…”
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Quantum proof biometric authentication framework using binary lattices and homomorphic encryption for secure cancelable templates by S. Aarthi, K. Geetha, N. Sasikaladevi

“…The genuine and impostor distributions in the extensive data sets were used to validate the above authentication thresholds that were chosen through empirical testing. …”
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The Impact of Artificial Intelligence on Personalized Learning in Higher Education: A Systematic Review by Carlos Merino-Campos

“…The risk of bias was assessed using a standardized ranking system. This systematic review follows the PRISMA guidelines to ensure transparency in study selection, data extraction, and synthesis. …”
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Advanced Machine Learning and Deep Learning Approaches for Estimating the Remaining Life of EV Batteries—A Review by Daniel H. de la Iglesia, Carlos Chinchilla Corbacho, Jorge Zakour Dib, Vidal Alonso-Secades, Alfonso J. López Rivero

“…This systematic review presents a critical analysis of advanced machine learning (ML) and deep learning (DL) approaches for predicting the remaining useful life (RUL) of electric vehicle (EV) batteries. …”
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