Comparison of Machine Learning Methods for Menstrual Cycle Analysis and Prediction by Mutiara Khairunisa, Desak Made Sidantya Amanda Putri, I Gusti Ngurah Lanang Wijayakusuma

“…The findings highlight the potential for improved accuracy in reproductive health tracking, with future research opportunities to incorporate additional variables such as hormonal history and lifestyle factors, as well as a focus on data privacy.…”
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Application of Criminal Offenders Misuse of National Identification Numbers for Phone Card Registration in Makassar City by Sri Buyung, Marilang, Ashabul Kahfi

“…The findings indicate that despite the absence of specific laws on starter pack registration, Indonesian citizens are protected by constitutional, administrative, ITE (Information and Electronic Transactions), and personal data protection laws. However, obstacles exist in enforcing criminal offenses related to NIK misuse, including outlet registration by actors lacking buyer identities due to fierce competition and public preference for instant solutions without considering the consequences of using others' NIK for SIM card registration.…”
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A Comparative Analysis of Artificial Intelligence Regulatory Law in Asia, Europe, and America by Alfiani Francisca Romana Nanik, Santiago Faisal

“…The study employs normative research, which in this context focuses on analyzing legal frameworks, principles, and regulations governing AI. Data collection techniques include the study of legal documents such as laws and regulations, along with a qualitative analysis using comparative methods. …”
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Emerging role of generative AI in renewable energy forecasting and system optimization by Erdiwansyah, Rizalman Mamat, Syafrizal, Mohd Fairusham Ghazali, Firdaus Basrawi, S.M. Rosdi

“…For sustainable implementation, future developments must address challenges in model explainability, data privacy, and scalability. These findings support the journal’s scope by highlighting AI-driven advancements for the reliable, efficient, and sustainable transformation of energy systems.…”
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Navigating the Ethical Terrain of AI-Generated Text Tools: A Review by Yasir Abdelgadir Mohamed, Abdul Hakim H. M. Mohamed, Akbar Khanan, Mohamed Bashir, Mousab A. E. Adiel, Muawia A. Elsadig

“…Utilitarianism, which seeks to maximize happiness for everyone; deontology, which places an emphasis on right and wrong; and Virtue Ethics, which analyzes the moral nature of deeds and actors, are all included in this framework. In this article, we use this approach to investigate AI ethics from a variety of angles, including privacy, prejudice, and social implications, as well as concerns of justice and fairness. …”
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Exploring Therapists’ Approaches to Treating Eating Disorders to Inform User-Centric App Design: Web-Based Interview Study by Pamela Carien Thomas, Pippa Bark, Sarah Rowe

“…Barriers to recommendation include patient safety, data privacy, and a perception that they may not be effective. …”
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AI in dermatology: a comprehensive review into skin cancer detection by Kavita Behara, Ernest Bhero, John Terhile Agee

“…However, several challenges remain, such as concerns over data privacy, complexities in integrating AI systems into existing workflows, and the need for large, high-quality datasets. …”
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Applying photovoice and human-centered design to contextualize an adolescent micronutrient supplementation intervention in Mozambique by Sarah Bauler, Carmen Tse, Aicha Dos Santos, Lucilia Moises, Nicole Mbouemboue, Melissa Young, Joel Gittelsohn, Christine Marie George, Elli Leontsini

“…While school-based supplementation is the standard practice, participants strongly preferred to take supplements at home to avoid stigma and benefit from the comfort and privacy of their own homes. We used these insights to refine the adolescent nutrition curriculum and design a multiple micronutrient supplementation delivery platform. …”
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An evaluation of menstrual health apps’ functionality, inclusiveness, and health education information by Emma Bucher, Callie Sharkey, Abby Henderson, Briette Basaran, Sarah Meyer, Chen X. Chen

“…Methods In this descriptive study, two reviewers independently searched, screened, and evaluated each app using a standardized tool. Three terms (i.e., “period pain,” “period app,” and “menstrual cramp”) were used to search the Apple App Store. …”
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Updatable Multi-User Dynamic Searchable Encryption Scheme with Bidirectional Verification by Zihao Ling, Bimei Wang

“…The scheme enables secure dynamic data sharing in multi-user scenarios by constructing an index structure using homomorphic message authentication codes and bitmaps. …”
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LITERATURE REVIEW ON THE DOUBLE-EDGED SWORD OF AI IN MENTAL HEALTH: A DEEP DIVE INTO CHATGPT'S CAPABILITIES AND LIMITATIONS by Paul Arjanto, Feibry Feronika Wiwenly Senduk

“…Key ethical concerns include data privacy and accountability. Conclusion: The study recommends a balanced approach, suggesting ChatGPT as an adjunct rather than a replacement for conventional mental health services. …”
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Electronic health record in military healthcare systems: A systematic review. by Amir Torab-Miandoab, Mahdi Basiri, Arasb Dabbagh-Moghaddam, Leila Gholamhosseini

“…Current literature on EHR use in military healthcare is lacking and disjointed. …”
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Advancing sustainability: The impact of emerging technologies in agriculture by Ashoka Gamage, Ruchira Gangahagedara, Shyamantha Subasinghe, Jeewan Gamage, Chamini Guruge, Sera Senaratne, Thevin Randika, Chamila Rathnayake, Zammil Hameed, Terrence Madhujith, Othmane Merah

“…However, it is important to carefully address ethical and socio-economic considerations, including accessibility and data privacy, to manage these effects effectively. …”
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Smart Safety Helmets with Integrated Vision Systems for Industrial Infrastructure Inspection: A Comprehensive Review of VSLAM-Enabled Technologies by Emmanuel A. Merchán-Cruz, Samuel Moveh, Oleksandr Pasha, Reinis Tocelovskis, Alexander Grakovski, Alexander Krainyukov, Nikita Ostrovenecs, Ivans Gercevs, Vladimirs Petrovs

“…This paper compiles numerous industrial use cases, from bridges and tunnels to plants and power facilities, demonstrating significant improvements in inspection efficiency, data quality, and worker safety. …”
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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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Acceptability of self-sampling and self-testing for infections: a rapid systematic review on public users’ views by Aleksandra J. Borek, Caity Roleston, Runa Lazzarino, Mineli Cooray, Gail Hayward, Nia Roberts, Edward Blandford, Tom Fowler, Sarah Tonkin-Crine

“…Abstract Background Self-sampling and self-testing have been increasingly used for sexually transmitted infections (STIs) and quickly became widespread during the COVID-19 pandemic. …”
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Information Security and Artificial Intelligence–Assisted Diagnosis in an Internet of Medical Thing System (IoMTS) by Pi-Yun Chen, Yu-Cheng Cheng, Zi-Heng Zhong, Feng-Zhou Zhang, Neng-Sheng Pai, Chien-Ming Li, Chia-Hung Lin

“…However, these digital data contain patients’ privacy and may be restricted to authorized users. …”
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Analisa Sentimen Financial Technology Peer To Peer Lending Pada Aplikasi Koinworks by Rousyati Rousyati, Windu Gata, Dany Pratmanto, Nia Kusuma Wardhani

“…Reviews contained in the Google Play comments column can be used as a data source that can be shared with data mining. …”
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Lung-AttNet: An Attention Mechanism-Based CNN Architecture for Lung Cancer Detection With Federated Learning by Chamak Saha, Somak Saha, Md. Asadur Rahman, Md. Mahmudul Haque Milu, Hiroki Higa, Mohd Abdur Rashid, Nasim Ahmed

“…Furthermore, to address medical data sensitivity and privacy concerns, the model is deployed in a Federated Learning (FL) framework, where the global model is trained using weights from local models rather than sharing raw data. …”
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The Human Voice as a Digital Health Solution Leveraging Artificial Intelligence by Pratyusha Muddaloor, Bhavana Baraskar, Hriday Shah, Keerthy Gopalakrishnan, Divyanshi Sood, Prem C. Pasupuleti, Akshay Singh, Dipankar Mitra, Sumedh S. Hoskote, Vivek N. Iyer, Scott A. Helgeson, Shivaram P. Arunachalam

“…The primary ethical challenge when incorporating voice as a diagnostic tool is that of privacy and security. To eliminate this, encryption methods exist to convert patient-identifiable vocal data into a more secure, private nature. …”
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