Advancements in artificial intelligence for atopic dermatitis: diagnosis, treatment, and patient management by Fang Cao, Yujie Yang, Cui Guo, Hui Zhang, Qianying Yu, Jing Guo

“…Despite challenges in data privacy and model transparency, the potential of artificial intelligence in advancing AD care is enormous, bringing the future to precision medicine and improving patient outcomes. …”
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Analysis of Modernization Movements in Housing During the Early Republican Period: Karabük, Türkiye by Ayşe Merve Saraçoğlu Gezer, Ayşen Esra Bölükbaşı Ertürk

“…In this study, the idea that houses are not only structural products, but the structures that have become homes for humans, is approached and discussed through concepts such as spatial organization, relationality, accessibility, visibility, density of use, depth, privacy, and belonging. The Yenişehir district in Karabük province, which is thought to have been transformed into design by considering these concepts, also constitutes the focus area of the study idea in this sense. …”
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Motivated by Design: A Codesign Study to Promote Challenging Misinformation on Social Media by Selin Gurgun, Emily Arden-Close, Keith Phalp, Raian Ali

“…We applied the unified theory of acceptance and use of technology (UTAUT) as a theoretical framework and analysed our data based on the core constructs of this framework: performance expectancy, effort expectancy, social influence, and facilitating conditions. …”
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The Interdependence of Competition Policy, Consumer Policy and Regulation in Introducing and Safeguarding Effective Competition in the EU Telecommunications Market by Andreas Bartels, Doru Alexandru Pleșea, Michael Studeny, Vanessa Just

“…In the case of telecommunications, several initiatives of the European Commission and of national regulatory authorities to falls in prices and forced operators to implement customer friendly rules and to protect customer data and privacy. The authors consider that the European Commission has tried to establish and harmonise rules across all member states in order to protect the interests and rights of consumers on the telecommunication market. …”
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The Transformative Impact of Artificial Intelligence in Healthcare: Innovations, applications, and future prospects by Shen Ruoyu

“…At the same time, the application of AI in healthcare poses a number of challenges, such as data privacy, algorithmic bias, and ethics. This study also explores the role of AI in global health, the need for policies and regulations, and the long-term impact of AI on future healthcare systems. …”
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Views on the incorporation of Geolocation Devices in Field Trips by Marta Magallón, Cristina Mercader

“…Geolocation in field trips has great potential, but it is an understudied field that needs more research and discussion to ensure data privacy.…”
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Applying Distributed Ledger Concepts to a Swiss Regional Label Ecosystem by Saša Malešević, Michael Lustenberger, Florian Spychiger

“…Our findings show that a distributed ledger application for the regional label ecosystem should have an open and decentralized architecture giving all participants full access to the shared data while still providing security and privacy for sensitive data. …”
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An intelligent conversational agent for querying satellite manoeuvre detections: a case study by Wathsala Karunarathne, David P Shorten, Matthew Roughan

“…Moreover, our system can handle sensitive and confidential data without breaching privacy. This paper presents the results of deploying SatChat in conjunction with a particle filter based manoeuvre detection system.…”
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IoT-driven smart grid monitoring with enhanced energy routing and advanced encryption techniques by K. Perachi, S. Balaji

“…The proposed work incorporates Improved Paillier Homomorphic (IPH) based encryption scheme, which assures integrity and confidentiality of data transmitted. The outcomes of proposed smart grid system using MATLAB and FPGA controller demonstrate significant improvements by providing enhanced security and optimal routing. …”
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Revolutionizing Midwifery Education : A Scoping Review of Artificial Intelligence Methods by Harridhil Silmi, Ari Indra Susanti

“…Despite these advancements, challenges such as ethical concerns (algorithmic bias, privacy issues), poor data quality, limited AI expertise among educators, and resistance to change in traditional learning environments were noted. …”
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DIKWP-Driven Artificial Consciousness for IoT-Enabled Smart Healthcare Systems by Yucong Duan, Zhendong Guo

“…The architecture integrates wearable sensors, edge computing nodes, and cloud services to enable dynamic task orchestration and secure data fusion. For evaluation, a smart healthcare scenario for early anomaly detection (e.g., arrhythmia and fever) was implemented using wearable devices with coordinated edge–cloud analytics. …”
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Criminal Law Challenged by Crossing into Virtual Reality by Mahdi Karimi

“…Due to its interactive and immersive nature virtual reality can collect and record large volumes of users' personal and sensitive information during use. This information includes behavioral patterns, interests, preferences, biometric and physiological data such as heart rate, body energy consumption, etc., which are comprehensively collected to create a complete and accurate user profile, potentially resulting in severe violations of users' mental privacy. …”
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A secure and trustworthy blockchain-assisted edge computing architecture for industrial internet of things by Sasikumar Asaithambi, Senthilkumar Nallusamy, Jing Yang, Sunil Prajapat, Gyanendra Kumar, Pramod Singh Rathore

“…This article presents a blockchain-assisted safe data-sharing mechanism that provides security requirements in the industry using IoT. …”
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Analisis Pengaruh Kualitas Layanan Terhadap Kepuasan Pelanggan dan Loyalitas Pengguna Aplikasi Jenius Menggunakan Model E-S- Qual dan E- Recs- QUal (Studi Kasus: Pengguna Aplikasi... by Alfansya Achmad Mulyadi, Satrio Hadi Wijoyo, Hanifah Muslimah Az-Zahra

“…This study involved 100 samples of Jenius application users in Malang City. This research uses purposive sampling as a sampling technique and multiple and simple linear regression analysis as a technique in data analysis. …”
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Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction by Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni

“…A global model is created and updated through repeated training and totaling of parameters while preserving privacy of the data going to each node. In the performance evaluation, quantitative measures like Root-Mean-Square Error (RMSE), and accuracy are seven used. …”
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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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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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A CAE model-based secure deduplication method by Chunbo Wang, Guoying Zhang, Hui Qi, Bin Chen

“…Abstract Cloud storage services are widely used due to their convenience and flexibility. However, the presence of a large amount of duplicate data in the cloud imposes a significant storage burden and increases the risk of privacy breaches. …”
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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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