R WE ready for reimbursement? A round up of developments in real-world evidence relating to health technology assessment: part 18 by Paul Arora, Sreeram V Ramagopalan

An Efficient and Expressive Fully Policy-Hidden Ciphertext-Policy Attribute-Based Encryption Scheme for Satellite Service Systems by Jiaoli Shi, Chao Hu, Shunli Zhang, Qing Zhou, Zhuolin Mei, Shimao Yao, Anyuan Deng

“…Access policies are uploaded to the cloud, stored, and downloaded in plain text, making them vulnerable to privacy breaches. When the access policy is completely hidden, users need to use their own attributes to try matching one by one, which is an inefficient process. …”
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Synthesis of electric vehicle charging data: A real-world data-driven approach by Zhi Li, Zilin Bian, Zhibin Chen, Kaan Ozbay, Minghui Zhong

“…In response, this study introduces an innovative methodology for generating large-scale and diverse EV charging data, mirroring real-world patterns for cost-efficient and privacy-compliant use. …”
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Personalized Federated Learning for Heterogeneous Residential Load Forecasting by Xiaodong Qu, Chengcheng Guan, Gang Xie, Zhiyi Tian, Keshav Sood, Chaoli Sun, Lei Cui

“…However, the deep prediction model requires users to provide a large amount of private electricity consumption data, which has potential privacy risks. Edge nodes can federally train a global model through aggregation using federated learning (FL). …”
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Relative Applicability of Diverse Automatic Speech Recognition Platforms for Transcription of Psychiatric Treatment Sessions by Rana Zeeshan, John Bogue, Mamoona Naveed Asghar

“…Although such models are good enough for most use cases, storing audio recordings in psychiatry complicates the data handling and adoption of ASR platforms in mental healthcare. …”
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Sexting in young adults’ social networks in Brazil: an exploratory study on the circulation of nudes by Aroldo de Lara Cardoso Júnior, Liliana Liviano Wahba

“…Results A negative statistical correlation between Problematic Internet Use and body satisfaction was found, with 4 thematic categories emerging in qualitative data: (1) feeling of being pressured, (2) nudes as a condition for further social contact, (3) conformity to body standards and (4) fear of undue exposure and loss of control. …”
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The Risk of Linked Census Data to Transgender Youth by Abraham Flaxman, Os Keyes

“…Our simulation found that the TopDown configuration attains the maximum achievable level of privacy protection against such an attack. Our results demonstrate the importance of disclosure avoidance for census data and suggest that the TopDown approach used by the Census Bureau is a substantial improvement compared to the previous approach, achieving the maximum level of privacy protection possible against such a linkage attack. …”
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Photography in the Age of Surveillance: Ethics and the Photographer’s Responsibility by Çeyiz MAKAL FAIRCLOUGH

“…This paper explores how certain photographers, including Hasan Elahi and Trevor Paglen, have responded to the dominance of surveillance culture by using their work to critique and resist its normalisation. …”
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Anonymous Authentication Scheme Based on Physically Unclonable Function and Biometrics for Smart Cities by Vincent Omollo Nyangaresi, Ahmad A. AlRababah, Ganesh Keshaorao Yenurkar, Ravikumar Chinthaginjala, Muhammad Yasir

“…However, the vulnerabilities in the underlying smart city technologies, interconnection of heterogeneous devices, and transfer of data over the open public channels expose these networks to a myriad of security and privacy threats. …”
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FedSW-TSAD: SWGAN-Based Federated Time Series Anomaly Detection by Xiuxian Zhang, Hongwei Zhao, Weishan Zhang, Shaohua Cao, Haoyun Sun, Baoyu Zhang

“…As distributed sensing technologies evolve, the collection of time series data is becoming increasingly decentralized, which introduces serious challenges for both model training and data privacy protection. …”
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Synthetic Financial Data: A Case Study Regarding Polish Limited Liability Companies Data by Aleksandra Szymura

“…Due to the statistical similarity with real data, they can be used instead of them. This action allows data to be shared externally while guaranteeing their privacy. …”
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It’s Fine If Others Do It Too: Privacy Concerns, Social Influence, and Political Expression on Facebook in Canada, France, Germany, the United Kingdom, and the United States by Christian Pieter Hoffmann, Shelley Boulianne

“…We use survey data gathered in 2023 from Canada, France, Germany, the United Kingdom, and the United States ( n  = 5,936). …”
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Predicting digital contact tracing tool adoption during COVID-19 from the perspective of TAM: The role of trust, fear, privacy, anxiety, and social media by Adi Alsyouf, Ala’a M Al-Momani, Nizar Alsubahi, Abdalwali Lutfi, Khalid Anwer Al-Mugheed, Mohammed Amin Almaiah, Rami J Anshasi, Main Naser Alolayyan, Abdallah Alsaad, Mahmaod Alrawad

“…This study investigates the key determinants of DCT adoption and acceptance by integrating the Technology Acceptance Model (TAM) with psychological, social, and regulatory factors related to the context of the study. Methods Using a quantitative, cross-sectional design, data were collected from Saudi participants through an online survey and analysed using Structural Equation Modeling (SEM) with SmartPLS4. …”
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Strong Association of Perceived Chronic Stress with Leadership Quality, Work–Privacy Conflict and Quantitative Work Demands: Results of the IMPROVE<i>job</i> Study by Julian Göbel, Lukas Degen, Karen Minder, Monika A. Rieger, Birgitta M. Weltermann

“…The factors associated with lower perceived chronic stress were identified using a multilevel regression model approach. The model showed a significant association with less work–privacy conflict (<i>p</i> < 0.001, <i>β</i> = 0.31), lower quantitative work demands (<i>p</i> < 0.001, <i>β</i> = 0.28), and good leadership quality (<i>p</i> < 0.001, <i>β</i> = −0.22). …”
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Big data, big responsibilities by Primavera De Filippi

“…With the advent of cloud computing, specialised data centres with powerful computational hardware and software resources can be used for processing and analysing a humongous amount of aggregated data coming from a variety of different sources. …”
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A data flow process for confidential data and its application in a health research project. by Samantha S R Crossfield, Kieran Zucker, Paul Baxter, Penny Wright, Jon Fistein, Alex F Markham, Mark Birkin, Adam W Glaser, Geoff Hall

“…However, using healthcare data for secondary purposes raises legal and ethical concerns relating to confidentiality, privacy and data protection rights. …”
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Rich Data Versus Quantity of Data in Code Generation AI: A Paradigm Shift for Healthcare by Muthu Ramachandran, Steven Fouracre

“…Using Self-Evolving Software (SES) as a case study, the research contrasts outcomes from both paradigms and proposes a weighted matrix for data selection in Code Gen AI systems. …”
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Can synthetic data be a proxy for real clinical trial data? A validation study by Monica Parry, Karolina Kublickiene, Valeria Raparelli, Peter Klimek, Alexandra Kautzky-Willer, Louise Pilote, Michal Abrahamowicz, Colleen M. Norris, Maria Trinidad Herrero, Khaled El Emam, Ruth Sapir-Pichhadze, Simon Bacon, Jennifer Fishman, Zahra Azizi, Chaoyi Zheng, Lucy Mosquera, Karin Humphries, Khaled El Emam

“…However, data availability remains a challenge due to complex privacy requirements. …”
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Using fuzzy decision support to create a positive mental health environment for preschoolers by Xinyue Li

“…To assess their mental health before starting school, preschoolers need early detection, intervention, and assessment. However, data shortages, heterogeneity, privacy issues, model interpretability, and generalization restrictions hamper the review process. …”
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Impact of Normalization Techniques on Synthetic Load Profile Generation Using Deep Generative Models by Luis H. T. Bandoria, Walquiria N. Silva, Madson C. De Almeida

“…However, the impact of data normalization on their performance remains insufficiently explored. …”
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