Blockchain enhanced smart healthcare management for chronic diseases by Shruti Saxena, Shivani Saxena, Nikunj Tahilramani, Panem Charanarur

“…Abstract Chronic diseases affect millions of people worldwide, making it a significant issue for the efficient and secure management of patient data. Most traditional chronic disease management systems fail to manage data in real time and struggle with interoperability and security issues. …”
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Nurturing Sustainability in Toddlerhood: Investigating Preschool Teachers’ Views and Daily Practices in a Swedish Preschool by Deniz Kahriman-Pamuk, Ingrid Pramling Samuelsson

“…Methods: We employed a case study approach, incorporating observations, interviews, and document analysis for data collection. Qualitative techniques were used for data analysis. …”
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Artificial intelligence optimizes the standardized diagnosis and treatment of chronic sinusitis by Yang-Yang Liu, Shao-Peng Jiang, Ying-Bin Wang

“…There may also be data privacy issues involved. Therefore, more research and improvements are needed to realise the full potential of AI in the diagnosis and treatment of CRS.ConclusionOur findings inform the clinical diagnosis and treatment of CRS and the development of AI-assisted clinical diagnosis and treatment systems. …”
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Level of satisfaction and associated factors among patients attending outpatient departments of south Wollo health facilities, Ethiopia. by Wolde Melese Ayele, Abdurahman Ewunetu, Muluken Genetu Chanie

“…A multistage sampling technique was used to select participants. Data were collected an interviewer-administered structured validated questionnaire. …”
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Preparing future educators for AI-enhanced classrooms: Insights into AI literacy and integration by Lucas Kohnke, Di Zou, Amy Wanyu Ou, Michelle Mingyue Gu

“…We conducted semi-structured interviews with 15 pre-service teachers and used thematic analysis to interpret the data. Our findings revealed that these future educators recognised AI's potential to enhance personalised learning and increase classroom efficiency but worried about relying on AI too much and losing the human element in teaching. …”
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Artificial intelligence in personalized rehabilitation: current applications and a SWOT analysis by Elpidio Attoh-Mensah, Arnaud Boujut, Arnaud Boujut, Mikaël Desmons, Anaick Perrochon

“…Additionally, threats such as data privacy breaches and security vulnerabilities emphasize the need for robust, balanced regulatory frameworks. …”
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Pain expression and intercultural identity: a comparison between English and Persian among EFL learners by Hakimeh Abedini

“…Persian was often used for its emotionally resonant and metaphor-rich expressions, reflecting the cultural and historical depth of the language. …”
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Teaching postsecondary students about the ethics of artificial intelligence: A scoping review protocol. by Calvin Hillis, Maushumi Bhattacharjee, Batool AlMousawi, Tarik Eltanahy, Sara Ono, Marcus Hui, Ba' Pham, Michelle Swab, Gordon V Cormack, Maura R Grossman, Ebrahim Bagheri, Zack Marshall

“…The field of AI carries inherent risks such as algorithmic biases, security vulnerabilities, and ethical concerns related to privacy and data protection. Despite these risks, AI holds significant promise for social good, with applications ranging from improved healthcare diagnostics to enhanced education strategies. …”
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The Role of Artificial Intelligence in Boosting Cybersecurity and Trusted Embedded Systems Performance: A Systematic Review on Current and Future Trends by Ahmed Oun, Kaden Wince, Xiangyi Cheng

“…The key findings of our review indicate that AI significantly enhances security measures by enabling capabilities such as detection, classification, feature selection, data privacy preservation, model combination, data generation, output interpretation, optimization, and adaptation. …”
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Hybrid-CID: Securing IoT with Mongoose Optimization by S. Merlin Sheeba, R. S. Shaji

“…After preprocessing, the Hybrid-CID framework develops a hybrid optimization algorithm to identify the intrusions from the traffic data which ensures data privacy by maintaining the reliability and integrity of IoT deployments. …”
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A Comprehensive Survey of Electric Vehicle Charging Demand Forecasting Techniques by Mamunur Rashid, Tarek Elfouly, Nan Chen

“…Meanwhile, emerging machine learning techniques bring promising prospects, yet exhibit suboptimal performance with insufficient data. Additionally, existing studies often overlook several critical areas such as overcoming data scarcity, security and privacy concerns, managing the inherent stochasticity of demand data, selecting forecasting methods for a specific feature, and developing standardized performance metrics. …”
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GPS tracking methods for spatiotemporal air pollution exposure assessment: comparison and challenges in study implementation by Kalliopi Kyriakou, Benjamin Flückiger, Danielle Vienneau, Nicole Probst-Hensch, Ayoung Jeong, Medea Imboden, Aletta Karsies, Oliver Schmitz, Derek Karssenberg, Roel Vermeulen, Gerard Hoek, Kees de Hoogh

“…Participants completed a baseline questionnaire, carried a GPS device (SODAQ) for 2 weeks, and used a smartphone app for a time activity diary. …”
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A Bibliometric Analysis of Publications on Surveillance and New Media Concepts in The Web of Science Database by Anıl Durmuşahmet

“…To this end, a bibliometric analysis based on quantitative data is conducted using the Web of Science (WoS) database as of June 23, 2024. …”
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Advancing the Sensitivity Frontier in digital contact tracing: Comparative analysis of proposed methods toward maximized utility by Junko Ami, Yanbo Pang, Hiroshi Masui, Takashi Okumura, Yoshihide Sekimoto

“…During the COVID-19 pandemic, many countries adopted Digital Contact Tracing (DCT) technology to control infections. However, the widely-used Bluetooth Low Energy (BLE)-based DCT requires both the infected individual and the contact to have the application activated to detect exposure. …”
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Attitude and Practice towards Pre-exposure Prophylaxis (PrEP) for HIV Prevention among Female Sex Workers in Kicukiro District, Rwanda by Alice Umulisa, Dr Yves Urayeneza, Viateur Hategekimana

“…Primary data was collected using a structured questionnaire, at 10 health centers. …”
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Blockchain enabled deep learning model with modified coati optimization for sustainable healthcare disease detection and classification by Heba G. Mohamed, Fadwa Alrowais, Fahd N. Al-Wesabi, Mesfer Al Duhayyim, Anwer Mustafa Hilal, Abdelwahed Motwakel

“…In the data preprocessing stage, the MCODBC-HDDC model employs Z-score normalization to standardize the data and improve performance. …”
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Developing a Life Story Intervention for Older Adults With Dementia or at Risk of Delirium Who Were Hospitalized: Multistage, Stakeholder-Engaged Co-Design Study by Sarah J Flessa, James D Harrison, Roniela Turnigan, Megan Rathfon, Michael Chandler, Jay Newton-Small, Stephanie E Rogers

“…We used content analysis to analyze qualitative data and descriptive statistics to summarize quantitative data. …”
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ARTIFICIAL INTELLIGENCE IN ACADEMIA: OPPORTUNITY OR CHALLENGE? by L.H. Grigoryan, M. V. Badalyan, A.Z. Grigoryan

“…On the other hand, the growing reliance on AI raises serious concerns related to academic integrity, data privacy, algorithmic bias, and the potential deskilling of educators. …”
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Empowerment in structures. Practical-ethical considerations of the preconditions for technology-assisted dementia care in Germany based on an expert-interview study by Johannes Welsch, Silke Schicktanz

“…Thematic content analysis was used to analyze the data.FindingsThe experts’ assessments of the current preconditions for TADC in Germany were starkly ambivalent. …”
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A review of machine learning and internet-of-things on the water quality assessment: Methods, applications and future trends by Gangani Dharmarathne, A.M.S.R. Abekoon, Madhusha Bogahawaththa, Janaka Alawatugoda, D.P.P. Meddage

“…While IoT significantly improves real-time contamination detection, persistent challenges remain in sensor fouling, data continuity, data privacy, network reliability, and cybersecurity. …”
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