Predictors of Women’s Satisfaction with Hospital-Based Intrapartum Care in Asmara Public Hospitals, Eritrea by Meron Mehari Kifle, Filmon Abraham Ghirmai, Soliana Amanuel Berhe, Winta Sium Tesfay, Yodit Teklemariam Weldegebriel, Zebib Tesfamariam Gebrehiwet

“…The key predictors of satisfaction with intrapartum care were provision of clean bed and beddings (AOR = 18.87, 2.33–15.75), privacy during examinations (AOR = 10.22, 4.86–21.48), using understandable language (AOR = 8.72, 3.57–21.27), showing how to summon for help (AOR = 8.16, 4.30–15.48), showing baby immediately after birth (AOR = 8.14, 2.87–23.07), control of the delivery room (AOR = 6.86, 2.65–17.75), receiving back massage (AOR = 6.43, 3.23–12.81), toilet access and cleanliness (AOR = 6.09, 3.25–11.42), availability of chairs for relatives (AOR = 5.96, 3.14–11.30), allowing parents to stay during labour (AOR = 3.52, 1.299–9.56), and request for permission before any procedure (AOR = 2.39, 1.28–4.46). …”
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Digital insurance acceptance among older adults in the context of AI by Poorna Chandran K. R., Deepa Ittimani Tholath

“…This exploratory study employed the insights of the Technology Acceptance Model (TAM), the Information System Continuance Model (ISCM), and the Customer Satisfaction (C-SAT) method. Data were collected by conducting interviews in September 2024 with 20 older adults using AI-powered insurance services. …”
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Micro, Small and Medium-sized Enterprises in the Digital Economy: Barriers to Digitalisation by Grażyna Węgrzyn

“…Implications / Recommendations: There is a need for education and support of digital competences, as well as to increase awareness among the owners of small firms as to the benefits digitalisation promises. At the same time, data and privacy must be protected in order to encourage entrepreneurs to safely implement digital solutions. …”
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The Dynamics of Regional Head Elections in the Digital Era in Indonesia: The Perspective of First-Time Voters by Mulyadi Dedi, Putri Kayla Andini, Aulia Salsabila Hadi, Akbar Rivaldi Aka, Mawardi Muhamad Fahri, Garnita Camiliya Fakhriyah

“…However, on the other hand, the use of social media in political campaigns faces several challenges, including the spread of disinformation, manipulation of opinions by buzzers and influencers, and potential violations of user data privacy. …”
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THE ANALYSIS OF THE KEY DRIVERS AND BARRIERS OF CLOUD MIGRATION IN COMPANIES IN BOSNIA AND HERZEGOVINA by Kasim Tatić, Zijad Džafić, Mahir Haračić, Merima Haračić

“… The effective use of cloud technology eliminates the barriers and potential IT obstacles that companies face by using a traditional way of developing a platform for the information systems, as a backbone of modern business. …”
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User and Provider Experiences With Health Education Chatbots: Qualitative Systematic Review by Кyung-Eun (Anna) Choi, Sebastian Fitzek

“… Abstract BackgroundChatbots, as dialog-based platforms, have the potential to transform health education and behavior-change interventions. Despite the growing use of chatbots, qualitative insights into user and provider experiences remain underexplored, particularly with respect to experiences and perceptions, adoption factors, and the role of theoretical frameworks in design. …”
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Global Education Development Plan to Build Sustainable Education Based on Artificial Intelligence by Siti Marisa, Gunawan Gunawan, Evi Susilawati

“…Ethical aspects, student data privacy, and fairness in access and use of AI technology should be key concerns in designing sustainable global education development. …”
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Collection and sharing of health information in mental health and related systems in Australia: perspectives of people who access mental health services by Anne Honey, Nicola Hancock, Helen Glover, Justin Newton Scanlan, Yidan Cao, Andrew Povolny, Mark Orr, Grenville Rose, Sumathi Govindasamy, Lorraine Smith, Naseem Ahmadapour

“…Focused group activities were conducted in which participants were asked to discuss and create a visual map to describe their collective experiences of sharing information relating to mental health and recovery. The data were analysed using qualitative content analysis and the coding techniques of constant comparative analysis. …”
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Exploring the application of ChatGPT in ESL/EFL education and related research issues: a systematic review of empirical studies by Chung Kwan Lo, Philip Leung Ho Yu, Simin Xu, Davy Tsz Kit Ng, Morris Siu-yung Jong

“…The included studies collectively provide solid evidence regarding the affordances (e.g., increased learning opportunities, personalised learning, and teacher support) and potential drawbacks (e.g., incorrect information, privacy leakage, and academic dishonesty) of ChatGPT use in ESL/EFL education. …”
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Cross-cultural attitudes toward generative AI in Art: Implications for sustainable creativity in the U.S., Japan, and China by Suomiya Bao

“…While Chinese participants focus on data privacy and intellectual property protection, U.S. participants are more concerned with misinformation and fake content. …”
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Interaction of Customer Satisfaction and Digital Service Retention: Evidence of PLS from Indonesian Islamic Banking by Muhammad Alfarizi

“…This study uncovered the effect of ease of use, efficiency, interoperability, privacy security, responsiveness, reliability, service cost, and service portfolio on ISBC customer satisfaction. …”
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Algerian Efl Students’ Perspectives And Practices On Ai-enabled Learning At The University Of Medea by Oussama Boukhelkhal

“…However, students identified several drawbacks, namely excessive reliance on AI, negative impact on their critical thinking, and the problem of unreliable AI-generated data. They also faced some challenges, such as limited access to advanced AI tools, privacy and security issues, and a lack of guidance on how to use AI thoughtfully and responsibly. …”
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Who owns Internet of Thing devices? by Yuxuan Jia, Bing Han, Qiang Li, Hong Li, Limin Sun

“…We propose to automatically extract owner annotation by utilizing a set of techniques (network scanning, machine learning, and natural language processing). We use the probing and classifier to determine whether the response data come from an IoT device. …”
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Digital game addiction in elementary students: The impact of digital literacy, parental styles, and background variables by Sacide G. Mazman Akar, Murat Özer

“…The sample comprised 530 fourth-grade students from four primary schools in Turkey. Data were collected using the “Scale of Digital Game Addiction for Children”, “Digital Literacy Scale for Primary School Students”, and “Parental Style Scale”. …”
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Feasibility of a computerized clinical decision support system delivered via a socially assistive robot during grand rounds: A pilot study by Valentino Šafran, Urška Smrke, Bojan Ilijevec, Samo Horvat, Vojko Flis, Nejc Plohl, Izidor Mlakar

“…Background Adopting Clinical Decision Support Systems in healthcare faces challenges such as complexity, poor integration with workflows, and concerns about data privacy and quality. Issues such as too many alerts, confusing errors, and difficulty using the technology in front of patients make adoption challenging and prevent it from fitting into daily workflows. …”
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Investigating Online Psychotherapy in the Framework of Ethical Codes by Gamze Şen Pakyürek, Burcu Korkmaz Yayın

“…The ways people communicate and interact have been changing over time as a result of the increasingly widespread developments and changes in technology. The use of the Internet, which has become an inevitable part of human life, increasingly raises the question of whether psychotherapy can be performed over the Internet. …”
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Digital technologies in education: the view of medical students by A. G. Zabolotniy, M. E. Mirgorodskaya, A. O. Moskalenko, A. I. Loseva

“…Despite the overall positive perception, the study identified existing problems, such as a lack of practical skills, data privacy issues, and decreased concentration.Conclusion. …”
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Federated learning for crop yield prediction: A comprehensive review of techniques and applications by Vani Hiremani, Raghavendra M. Devadas, Preethi, R. Sapna, T. Sowmya, Praveen Gujjar, N. Shobha Rani, K.R. Bhavya

“…This paper offers a systematic overview of the recent knowledge on the application of FL towards the prediction of crop yield and other agricultural uses. We discussed the mathematical basis of FL, the variety of machine learning models used, the types of used agricultural data, and the major performance metrics. …”
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The role of artificial intelligence in vascular care by Nehaar Nimmagadda, BS, Edouard Aboian, MD, Sharon Kiang, MD, Uwe Fischer, MD

“…The review also explores cost-effectiveness data, resource optimization, and challenges such as algorithmic bias and data privacy. …”
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Large language model application in emergency medicine and critical care by Haw Hwai, Yi-Ju Ho, Chih-Hung Wang, Chien-Hua Huang

“…However, integrating LLMs into healthcare raises legal, ethical, and privacy concerns, including data protection and the necessity for informed consent. …”
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