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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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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Barriers and facilitators to telemedicine contraception among patients that speak Spanish: a qualitative studyAJOG Global Reports at a Glance by Marielle E. Meurice, MD, MAS, Gennifer Kully, Msc, Sarah Averbach, MD, MAS, Antoinette Marengo, MD, Jesse Nodora, DrPH, Maricela Cervantes, MPH, Sheila K. Mody, MD, MPH

“…Two coders analyzed the data using thematic analysis. Results: The average age of the participants was 32.5 years old (range 19–45). …”
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Digital Health Interventions for Depression and Anxiety in Low- and Middle-Income Countries: Rapid Scoping Review by Leena W Chau, Raymond W Lam, Harry Minas, Kanna Hayashi, Vu Cong Nguyen, John O'Neil

“…Challenges pertained to the technological system, engagement issues, structural barriers, and concerns regarding privacy and confidentiality. Facilitators included widespread mobile phone use, built-in supervision and training features, and convenience. …”
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Telehealth for the study of palliative care communication: opportunities, methodological challenges, and recommendations by Elise C. Tarbi, Susanna L. Schuler, Natalie Ambrose, Rebecca N. Hutchinson, Maija Reblin, Katharine L. Cheung

“…Conclusions Overall, our approach demonstrates possibilities for the use of telehealth to study palliative care communication and provides a “how-to” example for unique telehealth considerations from data collection through analysis. …”
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Assessment of the Efficiency of a ChatGPT-Based Tool, MyGenAssist, in an Industry Pharmacovigilance Department for Case Documentation: Cross-Over Study by Alexandre Benaïche, Ingrid Billaut-Laden, Herivelo Randriamihaja, Jean-Philippe Bertocchio

“…Information provided within the template changes depending on the case: such data come from a table sent to the LLM. We then measured the time spent on each case for a period of 4 months (2 months before using the tool and 2 months after its implementation). …”
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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 Review of Asynchronous Byzantine Consensus Protocols by Zhenyan Ji, Xiao Zhang, Jianghao Hu, Yuan Lu, Jiqiang Liu

“…Blockchain technology can be used in the IoT to ensure the data privacy collected by sensors. …”
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Consumption of boutique hotel experiences as revealed by electronic word-of-mouth by Carolina Fiuza Parolin, Ricardo Boeing

“…The research considered prior studies on experiential consumption, as well as publications focused on understanding postmodern individuals. Netnography was used to collect data on – and analyse – post-consumption behaviours boutique hotels. …”
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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 primary considerations in formulating these regulations include ethical principles, data privacy, algorithmic bias, transparency, explainability, and international collaboration. …”
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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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IOT based wearable sensor system architecture for classifying human activity by V. Mahalakshmi, Pramod Kumar, Manisha Bhende, Ismail Keshta, Swatiben Yashvantbhai Rathod, Janjhyam Venkata Naga Ramesh

“…The proposed system follows a structured workflow: (i) channel state information (CSI) is extracted from ESP32 modules, (ii) data preprocessing is performed using Hampel and Gaussian filters for noise and outlier removal, (iii) dimensionality reduction is achieved through Principal Component Analysis (PCA) and Discrete Wavelet Transform (DWT), and (iv) activity classification is conducted using Dynamic Time Warping (DTW) and the K-Nearest Neighbors (KNN) algorithm. …”
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A Self-Sovereign Identity-Based Authentication and Reputation Protocol for IoV Applications by Victor Emanuel Farias da Costa Borges, Alvaro Sobrinho, Danilo F. S. Santos, Angelo Perkusich

“…Key innovations include a lightweight proof of reputation mechanism based on multi-party computation, enabling vehicles to collaboratively assess trustworthiness using recent spatiotemporal data without compromising privacy. …”
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Clinician and patient perceptions around implementing remote blood pressure monitoring for hypertensive disorders of pregnancy: A survey-based study by Theepika Rajkumar, Sharon Hu, Annemarie Hennessy, Angela Makris

“…Conclusion Though socioeconomic status, ethnicity and language influenced perceptions towards RBPM; overall, Australian pregnant women and clinicians are broadly receptive to its use in antenatal care. Successful implementation of RPBM requires careful evaluation of design and workflow to accommodate for patient diversity, ease of use, compliance, privacy and clinical utility to optimise the user experience.…”
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An investigation into the acceptance of intelligent care systems: an extended technology acceptance model (TAM) by Zhe Wang, Yuhui Wang, Yu Zeng, Jiayu Su, Zhirong Li

“…Moreover, higher privacy security requirements correlate with lower perceptions of the system’s usefulness. …”
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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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Patient-Centric Approach to Personalized Electronic Medical Records via QR Code in Japan by Yoshihiko Izumida, Takashi Omura, Masahiro Fujiwara, Shoko Nukaya, Akio Yoneyama, Sow Boubacar, Shinichiro Yabe, Rika Noguchi, Shima Nakayama, Wataru Muraoka, Yuki Okuno, Sho Miyashita, Yurika Ishihara, Yuto Moriwaki, Ryoji Otani, Junichiro Adachi, Kenichiro Tanabe, Yoshihisa Yamano, Yasushi Takai, Masaru Honjo

“… Government policies in the United States and the European Union promote standardization and value creation in the use of FAIR (findability, accessibility, interoperability, and reusability) data, which can enhance trust in digital health systems and is crucial for their success. …”
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Integrating Machine Learning and IoT for Effective Plant Disease Management by Bhoi Manjulata, Dubey Ahilya

“…Further, the framework is structured for privacy of data and security using strong encryption and secure access protocols. …”
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