Research on real-world knowledge mining and knowledge graph completion (I): overview of re-al-world data and knowledge map by Xu-Hui LI, Si-Yu YAN, Mu-Kun CHEN, Hai-Feng ZHU, Jie-Jun TAN, Kuang GAO, Yong-Bo WANG, Qiao HUANG, Xiang-Ying REN, Ying-Hui JIN, Xing-Huan WANG

“…The real-world data comes from the real medical environment, which can reflect the med-ical process and the patient's health status under real clinical conditions, and can be used as an important source of evidence and knowledge. …”
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Multi-Task Faces (MTF) Data Set: A Legally and Ethically Compliant Collection of Face Images for Various Classification Tasks by Rami Haffar, David Sanchez, Josep Domingo-Ferrer

“…As a result, several previously published face data sets have been removed from the internet due to inadequate data collection methods and privacy concerns. …”
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Impacts of Online Banking on Customer Satisfaction in Commercial Banks in the 2nd District of Albay by Laurence Bernadette Abapo

“…It also aimed to formulate recommendations and an action plan for online banking services to enhance customer satisfaction. The study used a quantitative research design to analyze and hence boost data validity. …”
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How participation in deliberative engagement affects awareness of, and attitudes towards, genomics research and data sharing: evidence from rural Ghana by Irene Honam Tsey, Pamela Emefa Selormey, John Ganle, Patricia Akweongo, Paulina Tindana

“…Using a quasi-experimental one-group pretest-posttest design, 66 participants completed a baseline survey assessing awareness of genomic research and attitudes toward data sharing. …”
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Barriers to contraceptive access and use among youths (15–24 Years) living in informal urban settlements of Kigali, Rwanda: a qualitative study by Emmanuel Okiror Okello, Alexandre Edgard Murinzi, Colyse Nduwimana, Rashidah Nambaziira

“…Abstract Background Contraceptive use among youths below 19 years in Rwanda is still very low, as low as 3.7%, yet their level of sexual activity is high. …”
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Healthcare provision for displaced people in transit: Analyses of routinely collected data from INTERSOS clinics at the Ukrainian border with Moldova and Poland by Saleh Aljadeeah, Seyed-Moeen Hosseinalipour, Nataliia Khanyk, Eszter Szocs, Aliki Traianou, Ana Tomas, Chrysanthi Tatsi, Elżbieta Czapka, Alessandro Verona, Tessa van Boekholt, Ion Chesov, Apostolos Veizis

“…Results: This study used routinely collected data from 1756 patients. …”
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AI-based treatment of psychological conditions: the potential use, benefits and drawbacks by Michael Baber, Barbara Baker

“…This suggests that translating small-scale, short-term trials into effective large-scale, longer-term real-world applications may be a particular challenge. While the use of AI in mental healthcare appears to have potential, its use also raises important ethical and privacy concerns, potential risk of bias, and the risk of unintended consequences such as over-diagnosis or unnecessary treatment of normal emotional experiences. …”
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COVID-19 detection using federated machine learning. by Mustafa Abdul Salam, Sanaa Taha, Mohamed Ramadan

“…AI plays an essential role in COVID-19 case classification as we can apply machine learning models on COVID-19 case data to predict infectious cases and recovery rates using chest x-ray. …”
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The Use of AI in Elementary School Learning: A Systematic Literature Review by Natalina Purba, Desti Pujiati, Partohap Saut Raja Sihombing, Hendra Simanjuntak, Desi Sijabat

“…However, the study also highlights challenges such as inadequate infrastructure, teacher competence, and ethical concerns regarding data privacy and algorithmic bias. Addressing these challenges requires investment in infrastructure, ongoing teacher training, and clear ethical guidelines to ensure equitable access to AI-driven learning. …”
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Perceived risk and intention to use digital financial services of Vietnamese youth by Nguyễn Thị Thương, Khúc Thế Anh, Nguyễn Mạnh Cường, Phan Anh Tuấn, Bùi Thị Thanh Huyền, Võ Mỹ Linh

“…SPSS26 and AMOS24 software were used for data processing. The results show that “Security risk” does not affect the “Perceived Risk” of the youth. …”
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Retrieval Integrity Verification and Multi-System Data Interoperability Mechanism of a Blockchain Oracle for Smart Healthcare with Internet of Things (IoT) Integration by Ziyuan Zhou, Long Chen, Yekang Zhao, Xinyi Yang, Zhaoyang Han, Zheng He

“…The proliferation of Internet of Things (IoT) technology has significantly enhanced smart healthcare systems, enabling the collection and processing of vast healthcare datasets such as electronic medical records (EMRs) and remote health monitoring (RHM) data. However, this rapid expansion has also introduced critical challenges related to data security, privacy, and system reliability. …”
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Opportunities and Challenges: The Use of ChatGPT in Enabling Library Knowledge Services by Huaming LI

“…At the same time, the application focuses on the risks and challenges posed by technical limitations, intellectual property rights, user privacy, harmful information, data sources, academic integrity and other aspects. …”
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Using Federated Learning for Collaborative Intrusion Detection Systems by Matteo Rizzato, Youssef Laarouchi, Christophe Geissler

“…Traditional implementations provide fast and accurate predictions, but require centralised storage of labelled historical data for training. This solution is not always suitable for real-world applications, where regulatory constraints and privacy concerns hamper the collection of sensitive data into a single server. …”
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Characterizing user mobility using mobile sensing systems by Sébastien Faye, Walter Bronzi, Ibrahim Tahirou, Thomas Engel

“…Furthermore, we detail the need to use methods that respect the privacy of users and investigate the possibilities offered by network traces, including Wi-Fi and Bluetooth communication technologies. …”
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Ethical Considerations for Using Artificial Intelligence in Digital Technologies by William Jorgensen, Matt Bjornsen, Rikke Carlsen

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FLPneXAINet: Federated deep learning and explainable AI for improved pneumonia prediction utilizing GAN-augmented chest X-ray data. by Shuvo Biswas, Rafid Mostafiz, Mohammad Shorif Uddin, Muhammad Shahin Uddin

“…Additionally, the need to protect patient privacy complicates the sharing of sensitive clinical data. …”
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Harnessing Moderate-Sized Language Models for Reliable Patient Data Deidentification in Emergency Department Records: Algorithm Development, Validation, and Implementation Study by Océane Dorémus, Dylan Russon, Benjamin Contrand, Ariel Guerra-Adames, Marta Avalos-Fernandez, Cédric Gil-Jardiné, Emmanuel Lagarde

“… Abstract BackgroundThe digitization of health care, facilitated by the adoption of electronic health records systems, has revolutionized data-driven medical research and patient care. While this digital transformation offers substantial benefits in health care efficiency and accessibility, it concurrently raises significant concerns over privacy and data security. …”
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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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Exploring Current Practices and Challenges of HIPAA Compliance in Software Engineering: Scoping Review by Farah Elkourdi, Chenhao Wei, LU Xiao, Zhongyuan YU, Onur Asan

“…Healthcare systems and applications are increasingly used to improve patient care. However, these applications face data security, privacy, and regulatory compliance challenges. …”
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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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