THE POSSIBILITY OF USING ELECTRONIC MEDICAL RECORDS FOR CLINICAL OBSERVATION by R. D. Kurbanov, R. Kh. Trigulova

“…Of course, there are problems and obstacles to expanding the use of EMC, and one of the solutions to these obstacles is to address issues of semantic compatibility, privacy, and security. …”
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FFM: Flood Forecasting Model Using Federated Learning by Muhammad Shoaib Farooq, Rabia Tehseen, Junaid Nasir Qureshi, Uzma Omer, Rimsha Yaqoob, Hafiz Abdullah Tanweer, Zabihullah Atal

“…Federated Learning is the most advanced technique of machine learning (ML) that guarantees data privacy, ensures data availability, promises data security, and handles network latency trials inherent in prediction of floods by prohibiting data to be transferred over the network for model training. …”
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Trends and pattern of contraceptive use among women attending a family planning clinic at a tertiary health facility in Ibadan, Nigeria by A. O. Atoyebi, S. O. Olaoye, M. A. Okunlola, M. E. Palamuleni, A. S. Adebowale

“…Data were analysed using a logistic regression model (α0.05), and thematic analysis was used for the qualitative part of the study. …”
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Understanding user acceptance of mobility-as-a-service in Jakarta Metropolitan Area (JMA): Influencing factors and behavioural insights by Yos Sunitiyoso, Prawira Fajarindra Belgiawan, Muhamad Rizki, Valid Hasyimi

“…Driven by theoretical constructs of the technology acceptance model, a set of motivational factors and choice scenarios, a behavioural model is conceptualised to explore individuals’ willingness to adopt MaaS in the JMA. Using data from 1,005 respondents collected in a survey, structural equation modelling (SEM), cluster analysis and choice modelling were conducted. …”
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Testing scenarios for using telepresence robots in healthcare settings by Janika Leoste, Kadri Strömberg-Järvis, Tarmo Robal, Kristel Marmor, Katrin Kangur, Anne-Mari Rebane

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OPTIMIZING KEYWORD SEARCH FOR SEARCH ENGINES USING BLOCKCHAIN TECHNOLOGY by Bharti Aggarwal, Dinesh Rai, Naresh Kumar

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The impact of artificial intelligence on behavioral intentions to use mobile banking in the post-COVID-19 era by Johannes Schrank, Johannes Schrank

“…Data has been collected from 412 respondents in Thailand, and structural equation modeling has been employed for the data analysis.ResultsThe findings reveal significant positive effects of performance expectancy, effort expectancy, social influence, facilitating conditions, trust, perceived privacy, perceived intelligence and anthropomorphism of AI on users’ behavioral intentions to use mobile banking. …”
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PRE-SERVICE TEACHERS' PERCEPTIONS OF THE USE OF GENAI AND TRADITIONAL GRAMMAR-CHECKING TOOLS FOR ENGLISH WRITING by Tiara Putri, Rahmah Fithriani

“…Ethical concerns, particularly regarding data privacy and originality, are also identified. …”
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Federated knee injury diagnosis using few shot learning by Chirag Goel, Anita X, Jani Anbarasi L

“…While deep learning approaches have shown promise in identifying knee injuries from MRI scans, they often require large amounts of labeled data, which can be both scarce and privacy-sensitive.MethodsThis paper analyses a hybrid methodology that integrates few-shot learning with federated learning for the diagnosis of knee injuries using MRI scans. …”
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AI, machine learning and deep learning in cyber risk management by Ishrag Hamid, M. M. Hafizur Rahman

“…However, challenges persist in ensuring the accuracy of information, understanding the functionality of models, and protecting individuals’ data. Ethical use of personal information and safeguarding privacy remain critical, with researchers needing to prioritize accuracy, transparency in AI models, and fairness in decision-making. …”
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Examining inclusivity: the use of AI and diverse populations in health and social care: a systematic review by John Gabriel O. Marko, Ciprian Daniel Neagu, P. B. Anand

“…A holistic approach must be used to address disparities, enforce effective regulations, safeguard privacy, promote inclusion and equity, and emphasize rigorous validation.…”
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Investigating High School Students’ Attitudes Toward the Use of AI in Education: Evidence from Cambodia by Sarin Sok, Kimkong Heng, Mengkorn Pum

“…Utilizing evidence from an online survey with 315 students (female = 62.50%), the study showed that Cambodian high school students expressed generally favorable attitudes toward utilizing AI-powered tools in education, particularly pertaining to the use of AI to aid in completing school work. However, the study identified key concerns about data privacy and security issues, the risk of becoming over-dependent on AI, and limited originality about students’ work. …”
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Ethical Challenges of Using the Internet of Behavior in the Medical and Healthcare Practice by Zahra Sadeqi-Arani, Esmaeil Mazroui Nasrabadi

“…These include concerns about privacy, data security, transparency, behavioral manipulation, equity in access, and the psychological and social consequences of continuous monitoring. …”
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User Needs of Online Tutoring Applications Using House of Quality by Qurrata Aini, Eko Ruddy Cahyadi, Faqih Udin

“…Methodology: The study employs the House of Quality method and was conducted in the Jabodetabek area from 2021 to 2022. Data collection methods included voluntary and purposive sampling, using questionnaires distributed via Google Forms, as well as interviews and focus group discussions. …”
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Assessment of gender-related differences in digital financial services use and health worker performance in Nigeria by Jesuloluwa Adeolu Alabi, David Ayobami Adewole, Folashayo Peter Adeniji, Segun Bello, Juliet Aweko, Elizabeth Ekirapa, Peter Waiswa, Olufunmilayo Ibitola Fawole

“…Quantitative data was analyzed using the student t-test, while inductive coding approach was adopted for qualitative data. …”
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Can open source large language models be used for tumor documentation in Germany?—An evaluation on urological doctors’ notes by Stefan Lenz, Arsenij Ustjanzew, Marco Jeray, Meike Ressing, Torsten Panholzer

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The use of modern e-health services including telemedicine and telepharmacy for remote patient care in Saudi Arabia by Farah K. Alhomoud

“…Participants reported perceived risks regarding privacy and data protection, and clinical risks associated with using e-health tools. …”
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A Performance Analysis of VPN Technologies Used in an IoT Environment by HRITCAN, D.-F., GRAUR, A., BALAN, D. G., TIMOFTE, E. M.

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Entropy-Based Human Activity Measure Using FMCW Radar by Hak-Hoon Lee, Hyun-Chool Shin

“…Existing activity measurement methods, such as gas analyzers, activity trackers, and camera-based systems, have limitations in accuracy, convenience, and privacy. To address these issues, this study proposes an improved activity estimation algorithm using a 60 GHz Frequency-Modulated Continuous-Wave (FMCW) radar. …”
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Using the Language of elite athletes to predict their personality and on court transgressions by Maor Daniel Levitin, Itamar Zan Ger, Ze’ev Sovik, Ariel Taieb, Lyle Ungar, Michael Gilead

“…These findings show that personality can predict individual choices and behaviors in specific contexts; furthermore, by assessing the degree to which our digital footprint can be used to derive actionable predictions of behavior, the current findings could inform discussions concerning regulations of data privacy.…”
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