Cloud data secure deduplication scheme via role-based symmetric encryption by Jinbo XIONG, Yuanyuan ZHANG, Youliang TIAN, Zuobin YING, Qi LI, Rong MA

“…The rapid development of cloud computing and big data technology brings prople to enter the era of big data,more and more enterprises and individuals outsource their data to the cloud service providers.The explosive growth of data and data replicas as well as the increasing management overhead bring a big challenge to the cloud storage space.Meanwhile,some serious issues such as the privacy disclosure,authorized access,secure deduplication,rekeying and permission revocation should also be taken into account.In order to address these problems,a role-based symmetric encryption algorithm was proposed,which established a mapping relation between roles and role keys.Moreover,a secure deduplication scheme was proposed via role-based symmetric encryption to achieve both the privacy protection and the authorized deduplication under the hierarchical architecture in the cloud computing environment.Furthermore,in the proposed scheme,the group key agreement protocol was utilized to achieve rekeying and permission revocation.Finally,the security analysis shows that the proposed role-based symmetric encryption algorithm is provably secure under the standard model,and the deduplication scheme can meet the security requirements.The performance analysis and experimental results indicate that the proposed scheme is effective and efficient.…”
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Implementation of Web Scraping to Build a Web-Based Instagram Account Data Downloader Application by Arif Himawan, Adri Priadana, Aris Murdiyanto

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Nomads of the Oghuz-Pecheneg Time of the Volga-Don Region According to Anthropology Data. by Mariya Balabanova

“…Apparently, the nomads of the Volga-Don region of the studied time, after its development, could include in their composition the nomadic groups of the previous Khazar time and form the composition of both the urban and nomadic population of the Golden Horde.…”
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Measuring the outcomes of volunteering for education: development and pilot of a tool to assess healthcare professionals’ personal and professional development from international v... by Natasha Tyler, Carlos Collares, Ged Byrne, Lucie Byrne-Davis

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A Digital Tool for Clinical Evidence–Driven Guideline Development by Studying Properties of Trial Eligible and Ineligible Populations: Development and Usability Study by Shahzad Mumtaz, Megan McMinn, Christian Cole, Chuang Gao, Christopher Hall, Magalie Guignard-Duff, Huayi Huang, David A McAllister, Daniel R Morales, Emily Jefferson, Bruce Guthrie

“…MethodsThe National Institute for Health and Care Excellence—particularly the gout guideline development group—and the Scottish Intercollegiate Guidelines Network guideline developers were consulted to gather their requirements and evidential data needs when developing guidelines. …”
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Sex-Related Differences in Hip Kinematics During General Movements in Early Infancy: A Biomechanical Cross-Sectional Study by Lucía Fernanda Flores-Santy, Barbara Martina Trujillo Gutiérrez, Cristina Mileny Campaña Iza, Juan Pablo Hervás Pérez

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Digital Transformation in Guidance and Counseling: The Influence of Website Media on Students’ Self-Awareness by Dona Fitri Annisa, Prio Utomo, Augusto da Costa

“…The research instrument is a self-awareness scale, with data analysis through the Kolmogorov-Smirnov and Shapiro-Wilk normality tests and the paired sample t-test effectiveness test. …”
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A multimodal experimental dataset on agile software development team interactions by Diego Miranda, Carlos Escobedo, Dayana Palma, Rene Noel, Adrián Fernández, Cristian Cechinel, Jaime Godoy, Roberto Munoz

“…This re- source aims to provide a comprehensive view of collaborative behaviour in agile contexts, supporting both qualitative analysis of interactions and the development of predictive models of group performance. …”
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Global trends of big data analytics in health research: a bibliometric study by Li Yao, Li Yao, Yan Liu, Tingrui Wang, Chunyan Han, Qiaoxing Li, Qinqin Li, Xiaoli You, Tingting Ren, Yinhua Wang

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Anemia and comorbidity in people over 65: data from the Russian study EUCALYPTUS by Natalia O. Khovasova, Natalya M. Vorobyeva, Anton V. Naumov, Irina P. Malaya, Yulia V. Kotovskaya, Olga N. Tkacheva

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Data-driven FMEA approach for hazard identification and risk evaluation in digital health by Hafiz Muhammad Waseem, Saif Ul Islam, Stuart Harrison, Gregory Epiphaniou, Nikolaos Matragkas, Theodoros N. Arvanitis, Carsten Maple

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Crowdsourced Indicators of Flora and Fauna Species: Comparisons Between iNaturalist Records and Field Observations by Hyuksoo Kwon, Bumsuk Seo, Jungin Kim, Heera Lee

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Problems of information technology support for implementation BIM concepts by L. I. Malyavkina, A. G. Savina, D. A. Savin

“…Along with the need to develop competitive Russian software products, ensuring their interoperability and standardization of data exchange formats are highlighted as the main problems. …”
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Resepsi audiens terhadap “Soft Masculinity” Boygroup Kpop by Raden Roro Nur Himma Sophia Syamwakumala

“…Data was collected from the analysis of the content of magazines, books, websites, social media, and observation of public reactions. …”
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Ethical Dilemmas and Coping Strategies in the Use of Psychological Scales in the Era of Big Data by Lirong LIU, Yanan ZHENG

“…Focusing on the ethical risks arising from the reconstruction of psychological scales due to innovations in big data technology, a systematic analysis is conducted on the research and current use of psychological scales within the context of big data. …”
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GLP-1 agonists in anaesthetic practice - a review of clinical data and recommendations by Natalia Pokrywka, Marcelina Polak, Dawid Suwała, Paulina Hetnar, Milena Fortuna, Sebastian Kiper, Sławomir Toczek, Magdalena Tomala, Katarzyna Jastrowicz-Chęć, Klaudia Koryszko

“… Abstract Introduction: Glucagon-like peptide-1 receptor agonists (GLP-1 RA) are a group of drugs originally used for the treatment of type 2 diabetes and now also for obesity and off-label indications. …”
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Financial Fraud Detection on Social Networks Based on a Data Mining Approach by Victoria Bozhenko, Serhii Mynenko, Artem Shtefan

“…The main goal of the research is to develop methodological principles for identifying financial cyber fraud in social networks based on the analysis of comments to identify relevant text patterns that may indicate manipulation attempts and further fraud. …”
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fossilbrush: An R package for automated detection and resolution of anomalies in palaeontological occurrence data by Joseph T. Flannery‐Sutherland, Nussaïbah B. Raja, Ádám T. Kocsis, Wolfgang Kiessling

“…Abstract Fossil occurrence databases are indispensable resources to the palaeontological community, yet present unique data cleaning challenges. Many studies devote significant attention to cleaning fossil occurrence data prior to analysis, but such efforts are typically bespoke and difficult to reproduce. …”
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Understanding gender segregation through Call Data Records: An Estonian case study. by Rahul Goel, Rajesh Sharma, Anto Aasa

“…Understanding segregation plays a significant role in determining the development pathways of a country as it can help governmental and other concerned agencies to prepare better-targeted policies for the needed groups. …”
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Mobile Game Evaluation Method Based on Data Mining of Affective Time Series by Jeremi K. Ochab, Paweł Węgrzyn, Przemek Witaszczyk, Dominika Drążyk, Grzegorz J. Nalepa

“…Our work is positioned at the intersection of game data science, affective gaming, and the implementation of multimodal body sensors analysis. …”
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