Akrivia Health Database—deep patient characterisation using a secondary mental healthcare dataset in England and Wales: cohort profile by Ana Todorovic, Philip Craig, Simon Pillinger, Panagiota Kontari, Sophie Gibbons, Luke Bryden, Tarso Franarin, Ceyda Uysal, Gloria Roque, Benjamin Fell

“…The data are anonymised, structured and harmonised from the source electronic health records across a range of information technology systems, enabling for unified, privacy-preserving access for research purposes.Participants The cohort contains data from electronic health records for over 4.6 million patients in England and Wales, as of January 2024. …”
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AI-based model for Prediction of Power consumption in smart grid-smart way towards smart city using blockchain technology by Emran Aljarrah

“…Ensuring data integrity, privacy, and trust among grid applicants, transmit the data securely and reliably to a centralized or distributed cloud platform utilizing blockchain technology—a secure transmission and storage using Distributed Authentication and Authorization (DAA) protocol. …”
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Resisting bad mouth attack in vehicular platoon using node-centric weight-based trust management algorithm (NC-WTM) by R. Priya, N. Sivakumar

“…Abbreviations: VANETs: vehicular ad hoc networks; IVC: inter-vehicular communication; NC-WTM: node-centric weight-based trust management algorithm; WTM: weight-based trust management algorithm; RPRep: robust and privacy-preserving reputation management scheme; ART: attack-resistant trust management scheme; MANET: mobile ad hoc network; DSRC: dedicated short-range communication; WAVE: wireless access in vehicular environment; IVC: inter-vehicular communication; I2V: infrastructure-to-vehicle; V2I: vehicle-to-infrastructure; V2V: vehicle-to-vehicle; TA: trust authority; RSU: road side unit; OBU: on-board unit; GPS: global positioning system; WSN: wireless sensor network; VASNETs: vehicular sensor networks; CCW: cooperative collision warning; BMA: bad mouth attack; TDMA: time division multiple access; GDVAN: greedy detection for VANETs; SMTS: spider monkey time synchronization; SVM: support vector machine; DST: Dempster-Shafer theory of evidence; TA: trust authority; PCA: puzzle-based co-authentication; VLC: visible light communication; NE: Nash equilibrium; RTB: request-to-broadcast; CTB: clear-to-broadcast; RREQ: route request message; RREP: route reply; DDR: data disseminate ratio; Dir: direct trust; IDir: indirect trust; TCE: trust computation error; PDR: packet delivery ratio…”
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Using information technology to communicate about health and wellbeing, assessment and review: audio computer assisted self-interviewing (A-CASI) by Murray Davies

“…In addition, its use is thought to decrease respondent error or fatigue and allows the relatively easy use of more complicated questionnaires, providing richer data than other self-completion approaches (Tourangeau and Smith, 1996).…”

A True Random Number Generator Based on Race Hazard and Jitter of Braided and Cross-Coupled Logic Gates Using FPGA by Hossam O. Ahmed, Donghoon Kim, William J. Buchanan

“…Cryptographic algorithms, which are critical for protecting user data privacy, rely on cryptographic keys to ensure data security. …”
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What multimodal components, tools, dataset and focus of emotion are used in the current research of multimodal emotion: a systematic literature review by Reny Rahmalina, Wawan Gunawan

“…Data were obtained from IEEE Xplore, Science Direct and Emerald journals which were then sorted based on the PRISMA method. …”
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Leveraging self attention driven gated recurrent unit with crocodile optimization algorithm for cyberattack detection using federated learning framework by Manal Abdullah Alohali, Hatim Dafaalla, Mohammed Baihan, Sultan Alahmari, Achraf Ben Miled, Othman Alrusaini, Ali Alqazzaz, Hanadi Alkhudhayr

“…The main objective of the SAMFL-SCDCOA methodology is to provide an effective method for preventing cyberattacks in real time using FL and advanced optimization algorithms. Initially, the Z-score normalization is utilized to scale and standardize data to improve analysis consistency and accuracy. …”
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Enhanced security for medical images using a new 5D hyper chaotic map and deep learning based segmentation by S. Subathra, V. Thanikaiselvan

“…Abstract Medical image encryption is important for maintaining the confidentiality of sensitive medical data and protecting patient privacy. Contemporary healthcare systems store significant patient data in text and graphic form. …”
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Experiences and views of patients, carers and healthcare professionals on using modems in domiciliary non-invasive ventilation (NIV): a qualitative study by Stephanie K Mansell, Martin J Wood, Cherry Kilbride, Swapna Mandal, Francesca Gowing

“…Data suggests a need for increased clarity to patients/carers regarding clinical practice relating to responsiveness to modem data. …”
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Prospective acceptability of using mHealth interventions for oral health promotion in a sample of Egyptian women: A cross-sectional study by Mariam Sharaf, Reham Khaled Abou El Fadl

“…Health awareness (36.8%) and effort & time saving (29%) were the most commonly cited motivators for using mHealth while lack of time (33%) and privacy issues (14.2%) were the main barriers. …”
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Generative AI in Improving Personalized Patient Care Plans: Opportunities and Barriers Towards Its Wider Adoption by Mirza Mansoor Baig, Chris Hobson, Hamid GholamHosseini, Ehsan Ullah, Shereen Afifi

“…This review aims to serve as a key resource for various stakeholders such as researchers, medical professionals, and data governance. We adopted the PRISMA review methodology and screened a total of 247 articles. …”
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Attack resilient IoT security framework using multi head attention based representation learning with improved white shark optimization algorithm by Jawhara Aljabri

“…The main intention of the MHAID-IWSOA methodology relies on enhancing the cybersecurity detection and migration model using advanced optimization algorithms. Initially, the data pre-processing applies min–max scaling to transform input data into a beneficial format. …”
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FedDSL: A Novel Client Selection Method to Handle Statistical Heterogeneity in Cross-Silo Federated Learning Using Flower Framework by Vineetha Pais, Santhosha Rao, Balachandra Muniyal

“…Once this environment is created, a client selection strategy is applied that uses a weighted approach to select clients. A statistical analysis checks the data distributed among hospitals using skewness and normality tests. …”
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A High-performance NTT/MSM Accelerator for Zero-knowledge Proof Using Load-balanced Fully-pipelined Montgomery Multiplier by Xiangren Chen, Bohan Yang, Wenping Zhu, Hanning Wang, Qichao Tao, Shuying Yin, Min Zhu, Shaojun Wei, Leibo Liu

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Using citizen science Raspberry Shake seismometers to enhance earthquake location and characterization: a case study from Wellington, New Zealand by Bethany Hughes, Finnigan Illsley-Kemp, Eleanor Mestel, John Townend, Chantujan Chandrakumar, Raj Prasanna

“…Notably, we find that precise station locations are less critical for precise earthquake location, a significant factor given that the publicly available Raspberry Shake locations are obfuscated to protect user privacy. These results suggest that, dependent on network geometry, citizen seismometer data can be a valuable tool in seismic monitoring and improve earthquake location capability, whilst remaining cost-effective. …”
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Experience of older adults using smart devices and mHealth apps in nursing homes in Chinese megacities: A descriptive qualitative study by Jie Ding, Yifei Ren, Jiajia Xu, Qingqing Hu, Ting Chu

“…Data were collected through semi-structured interviews and analyzed using directed content analysis. …”
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Using artificial intelligence based language interpretation in non-urgent paediatric emergency consultations: a clinical performance test and legal evaluation by Julia Brandenberger, Ian Stedman, Noah Stancati, Karen Sappleton, Sarathy Kanathasan, Jabeen Fayyaz, Devin Singh

“…Legal evaluation indicated inconsistent access to language interpretation services across healthcare jurisdictions and potential risks involving data privacy, consent, and malpractice when using AI-based translation tools. …”
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Artificial Intelligence-based Blockchain Technology for Skin Cancer Investigation Complemented with Dietary Assessment and Recommendation using Correlation Analysis in Elder Indivi... by Suman Mann, Archana Balyan, Vinita Rohilla, Deepa Gupta, Zatin Gupta, Abdul Wahab Rahmani

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The role of field studying practices in improving understanding and skills for using electronic medical records among medical records and health information students by Musparlin Halid, Beny Binarto Budi Susilo

“…Specifically, the students showed increased understanding of the concepts and basic functions of EMR (p = 0.001), as well as technical skills for using EMR (p = 0.001). They also demonstrated enhanced knowledge of data security and privacy (p = 0.002), and a better understanding of workflows and procedures for using EMR (p = 0.041). …”
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<span style="font-variant: small-caps">Ventinel</span>: Automated Detection of Android Vishing Apps Using Optical Character Recognition by Daegyeom Kim, Sehwan O, Younghoon Ban, Jungsoo Park, Kyungho Joo, Haehyun Cho

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