Mapping theoretical approaches: a scoping review of data analytics in higher education by Mthokozisi Masumbika Ncube, Patrick Ngulube

“…While research has investigated data analytics for personalised learning, student success prediction, and programme assessment, a comprehensive understanding of how these applications align with existing theoretical frameworks is still lacking. …”
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Weighted Empirical Likelihood for Accelerated Life Model with Various Types of Censored Data by Jian-Jian Ren, Yiming Lyu

“…Our proposed procedures are applicable to various types of censored data under a unified framework, and some simulation results are presented.…”
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Framework and Pathway for the Construction of a Unified Data-Element Market in China by Xiaohong Chen, Canran Xiao, Wenzhi Cao, Weiwei Zhang, Yongmei Liu

“…Moreover, the study proposes a "two-stage, four-step" development path, emphasizing the high-quality supply and secure storage management of data elements during the market infrastructure construction stage, as well as the efficient trading circulation and practical application performance during the scenario-driven service stage. …”
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Big Data Intelligent Analysis Technology for the Study of Spatial and Time Trends in the Development of Large Cities by K. V. Mulyukova, I. V. Mulyukov, V. M. Kureichik

“…The study includes a review of bibliographic sources on the problems of big data analysis and their application in the modern field of construction of large cities. …”
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Pioneering precision in lumbar spine MRI segmentation with advanced deep learning and data enhancement by Istiak Ahmed, Md. Tanzim Hossain, Md. Zahirul Islam Nahid, Kazi Shahriar Sanjid, Md. Shakib Shahariar Junayed, M. Monir Uddin, Mohammad Monirujjaman Khan

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Intelligent gear decision method for vehicle automatic transmission system based on data mining by Yong Wang, Jianfeng Zeng, Pengfei Du, Huachao Xu

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Smartphone pregnancy apps: systematic analysis of features, scientific guidance, commercialization, and user perception by Michael Nissen, Shih-Yuan Huang, Katharina M. Jäger, Madeleine Flaucher, Adriana Titzmann, Hannah Bleher, Constanza A. Pontones, Hanna Huebner, Nina Danzberger, Peter A. Fasching, Bjoern M. Eskofier, Heike Leutheuser

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Evaluation of compliance and accuracy in Parkinson’s disease motor symptom tracking: a comparative study of digital and traditional paper diaries using a smartphone application (My... by Nazli Durmaz Celik, Nazli Durmaz Celik, Asli Yaman Kula, Naci Murat, Müge Kuzu Kumcu, Aydan Topal, Serhat Özkan

“…The compliance and accuracy of data were assessed by comparing diary entries with the clinical examination notes and WhatsApp queries. …”
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Synergistic review of automation impact of big data, AI, and ML in current data transformative era [version 2; peer review: 2 approved, 1 approved with reservations] by Siddharth Swarup Rautaray, Manjusha Pandey, Swastik Rath

“…This review research work delves into the transformative impact of these technologies, focusing on their applications across various sectors. The study covers six key sectors: healthcare, banking, finance, retail, real estate, and agriculture, highlighting how these industries leverage automated systems and data analytics to enhance operations, manage risks, and improve decision-making processes. …”
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Data on the nutritional and fatty acid composition, bioactive compounds, in vitro antioxidant activity and techno-functional properties of a collection of pea (Pisum sativum L.)Men... by Francesca Vurro, Davide De Angelis, Giacomo Squeo, Stefano Pavan, Antonella Pasqualone, Carmine Summo

“…In addition to the study of suitable food applications, these data can be used in genetic research to identify specific genomic regions associated with key nutritional and techno-functional traits, thereby improving understanding of the underlying genetic mechanisms.…”
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Implementation of an algorithm for the identification of breast cancer deaths in German health insurance claims data: a validation study based on a record linkage with administrati... by Hajo Zeeb, Ulrike Haug, Jonas Czwikla, Hans Werner Hense

“…Objective To adapt a Canadian algorithm for the identification of female cases of breast cancer (BC) deaths to German health insurance claims data and to test and validate the algorithm by comparing results with official cause of death (CoD) data on the individual and the population level.Design Validation study, secondary data, medical claims.Setting Claims data of two statutory health insurance providers (SHIs) for inpatient and outpatient care, CoD added via record linkage with epidemiological cancer registry (ECR).ParticipantsAll women insured with the two SHIs and who deceased in the period 2006–2013, were residents of North Rhine Westphalia (NRW) and were linked with ECR data: n=22 413.Main outcome measures Based on inpatient and outpatient diagnoses in the year before death, six algorithms were derived and the accordance of the algorithm-based CoD with the official CoD was evaluated calculating specificity, sensitivity, negative and positive predictive values (NPV, PPV). …”
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Minimum elements for reporting a feasibility assessment of algorithms based on routinely collected health data for multi-jurisdiction use: Health Data Research Network Canada recom... by Naomi Hamm, Sharon Bartholomew, Yinshan Zhao, Sandra Peterson, Saeed Al-Azazi, Kimberlyn McGrail, Lisa Lix

“…Existing guidelines applicable to feasibility studies include the STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) and REporting of studies Conducted using Observational Routinely collected health Data (RECORD) guidelines. …”
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A State-of-the-Art Review in Big Data Management Engineering: Real-Life Case Studies, Challenges, and Future Research Directions by Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Yannis Stamatiou

“…With real-life case studies from several sectors to complement our exploration of cutting-edge methods in big data management, we present useful applications and results. …”
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A paired CT and MRI dataset for advanced medical imaging applicationsKaggle by Zakaria Shams Siam, Md Younus Akon, Israt Jahan Munmun, Abdullah Al-Amin, Md. Abdus Salam, Ishtiak Al Mamoon

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BenthicNet: A global compilation of seafloor images for deep learning applications by Scott C. Lowe, Benjamin Misiuk, Isaac Xu, Shakhboz Abdulazizov, Amit R. Baroi, Alex C. Bastos, Merlin Best, Vicki Ferrini, Ariell Friedman, Deborah Hart, Ove Hoegh-Guldberg, Daniel Ierodiaconou, Julia Mackin-McLaughlin, Kathryn Markey, Pedro S. Menandro, Jacquomo Monk, Shreya Nemani, John O’Brien, Elizabeth Oh, Luba Y. Reshitnyk, Katleen Robert, Chris M. Roelfsema, Jessica A. Sameoto, Alexandre C. G. Schimel, Jordan A. Thomson, Brittany R. Wilson, Melisa C. Wong, Craig J. Brown, Thomas Trappenberg

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Public engagement with science: an inclusive approach to innovate in health research with real-world data by Adalton dos Anjos Fonseca, Valentina Martufi, Walisson Angélico de Araújo, Denise Moraes Pimenta, Acácia Mayra Pereira de Lima, Juliana Araújo Prata de Faria, Danilo Luis Cerqueira Dias, Eduarda Ferreira dos Anjos, Maria del Pillar Flores Quispe, Gisela Rodrigues Piloto, Vivian Mitiko Queiroz Lima, Felipe Ferré, Marcos Antônio Gêmeos Almeida Sampaio, Erika de Souza Lopes, Blanda Helena de Mello, Diego Cavalcante Teixeira Daltro, Mariana Rodrigues Sebastião de Almeida, Raiza Tourinho Lima, Elzo Pereira Pinto Junior, Mauricio L. Barreto, Maria Yury T. Ichihara

“…Abstract Background Public engagement with science (PES) initiatives in health research that use big data to analyze social inequalities in health requires strategies and methods adapted to the contexts of countries in the Global South. …”
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Research on cloud computing network security mechanism and optimization in university education management informatization based on OpenFlow by Xiufang Dong, Yun Xie

“…Cloud computing environments must ensure comprehensive security of their hardware infrastructure, virtual resources, computing power, software platforms, applications, and data. To ensure the security of related components, it is necessary to start from the physical layer to the virtual resource layer and the service layer. …”
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An Implementation of a Crime-Safety-Map Application Based on a Safety Index by Seong-Cho Hong, Svetlana Kim, Sun-Young Ihm

“…Therefore, this study focused on crime prevention through environmental design for developing a user-friendly, open to the public crime-safety-map application. Data from the Republic of Korean Open Government Data Portal’s nationwide safety and crime related data were used and the application was designed using Android Studio. …”
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Evaluation of the Tran Medic Application Online in Outpatient Patient Registrtion at Royal Prima General Hospital Medan by Weldy Stephan, Ermi Girsang, Widya Yanti Sihotang

“… Data management and registration services are important components in supporting hospital information systems. …”
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Integrating Technology into Urban Open Space Assessment: The ‘YouWalk-UOS’ Approach by Ashraf M. Salama, Madhavi Patil

“…Highlights: • Innovation in Assessment: Introducing the YouWalk-UOS mobile application as a transformative approach in urban open spaces assessment that integrates real-time data collection with user feedback…”
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