HPV Vaccine: Current Data, Efficacy, and Clinical Implications by agnieszka marut, Karolina Kopeć, Aleksandra Bartoszek, Julia Adamiuk, Marta Biskup, Jagoda Misiuk, Adriana Skuba, Katarzyna Załuska, Agnieszka Świdniak, Sylwia Nykiel

“…It seeks to determine their effectiveness and their application in both primary and secondary prevention of HPV-related diseases. …”
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Quantum-Inspired Data Embedding for Unlabeled Data in Sparse Environments: A Theoretical Framework for Improved Semi-Supervised Learning without Hardware Dependence by Shawn Ray

“…The versatility of this model is illustrated through its application to critical domains such as medical diagnosis, resource-constrained natural language processing, and financial forecasting—areas where data scarcity impedes the efficacy of traditional models. …”
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Spatial datasets for benchmarking machine learning-based landslide susceptibility modelsMendeley Data by Guruh Samodra, Mukhamad Ngainul Malawani, Indranova Suhendro, Djati Mardiatno

“…The dataset includes landslide polygons delineated through manual interpretation of high-resolution satellite imagery and controlling factors data extracted from topographic maps and Indonesia's national digital elevation model (DEMNAS). …”
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MODEL OF SEMANTIC INTEGRATION OF INFORMATION SYSTEMS PROPERTIES IN RELAY DATABASE REENGINEERING PROBLEMS by Oleg Avrunin, Oleksiy Vlasov, Valentin Filatov

“…The purpose of the research is the development of a subject area model based on the semantic properties and relationships of data elements; development of effective technology of integration of information resources of heterogeneous computer systems on the basis of technology of management of database systems; research and formalization of classes of inhomogeneity of data structures aimed at solving the problem of determining the types of information objects. …”
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Machine learning in biomedical and health big data: a comprehensive survey with empirical and experimental insights by Kamal Taha

“…Abstract This article delves into the application of machine learning within the realm of biomedical and health big data. …”
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Agricultural load cycles: Tractor mission profiles from recorded GNSS and CAN bus data(Zenodo) by Korbinian Götz, Andrew Kusuma, Adrian Dörfler, Markus Lienkamp

“…Hence, the load and usage information in real-field operation is suitable as input for the development of electrified tractors.A total of 862 h of operation data has been recorded and constitutes one of the most comprehensive open datasets to date for high-resolution data of agricultural tractors. …”
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Quest markup for developing FAIR questionnaire modules for epidemiologic studies by Daniel E. Russ, Nicole M. Gerlanc, Brian Shen, Bhaumik Patel, Amy Berrington de González, Neal D. Freedman, Julie M. Cusack, Mia M. Gaudet, Montserrat García-Closas, Jonas S. Almeida

“…Results We developed an open-source markup language for presentation of questionnaire content and logic, Quest, within a real-time renderer that enables the user to test logic (e.g., skip patterns) and view the structure of data collection. We provide the Quest markup language, an in-browser markup rendering tool, questionnaire development tool and an example web application that embeds the renderer, developed for The Connect for Cancer Prevention Study. …”
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Demand starter data kit: Selected socio-economic and technical energy system demand modelling data for all 47 counties in KenyaZenodo by Neve Fields, Ariane Millot, Martin Mutembei, Anne Nganga, Pietro Lubello, Leonhard Hofbauer, Mark Howells, Ed Brown

“…The need for data-driven models to inform energy planning and policy making is increasingly important as Kenya looks to transform its energy system to be clean, efficient, diverse and secure. …”
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Data on effect of NPSB fertilizer rates on growth and yield of carrot (Daucus carrota L.) varieties in Gondar district, Northwestern EthiopiaMendeley Data by Abebaw Mulugeta Andualem, Yenus Ousman Kemal, Derajew Asres Mekonen, Fentahun Asrat Yenet, Hulushum Woreta Kassa

“…The experiment also determines the optimal NPSB fertilizer rate for maximizing carrot root yield in comparable agro-ecological regions, offering valuable insights for researchers to analyze and potentially sparking new research directions. This data can foster collaborations and enhance the visibility of research within the scientific community, enabling widespread access for further exploration and application in related fields.…”
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Expert-Analytical Platform as the Development of a Modern Standard of Work in Science and Business by M. Yu. Karpushin, A. A. Suslova, A. V. Stoupakova, A. A. Korshunov, A. Yu. Bezzubov, N. V. Beletskaya, R. S. Sautkin, A. P. Antonov, V. V. Chernyavsky, N. R. Galin, E. V. Svirilina, A. P. Zavyalova, R. M. Gilaev

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Design and Application of GISC Beijing Global Cache by Gu Wenjing, Guo Ping, Zhang Laien, Xue Lei, Han Xinqiang, Gao Feng, He Wenchun, Wang Huaile, Wang Peng, Wang Bo

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Multimodal integration strategies for clinical application in oncology by Baoyi Zhang, Zhuoya Wan, Yige Luo, Xi Zhao, Josue Samayoa, Weilong Zhao, Si Wu

“…In clinical practice, a variety of techniques are employed to generate diverse data types for each cancer patient. These data types, spanning clinical, genomics, imaging, and other modalities, exhibit significant differences and possess distinct data structures. …”
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Application of federated learning in predicting breast cancer by Chai Jiarui

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Advancing the application of pXRF for animal samples. by Kate J Brandis, Roxane J Francis, Kyle J A Zawada, Chris D Hasselerharm, Daniel Ramp

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Applications of the MVWG Multivariable Stochastic Weather Generator by Nándor Fodor, Ildikó Dobi, János Mika, László Szeidl

“…Using a large meteorological database from North America; two basic problems, related to the applicability of WGs in case of short or lacking data series, were investigated in the framework of the Multivariable weather generator (MVWG). …”
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A Systematic Review on the Use of Big Data in Tourism by Jafar Ahangaran, Abbas Sadeghnia

“…The research investigates the application of big data in tourism studies published from 2016 to 2022, aiming to identify research gaps and potential areas for future development. …”
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APPLICATION OF NON-TEST METHODS FOR CHANEL ESTIMATION by M. L. Maslakov, M. S. Smal

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Big data analytics in telecommunications: Governance, architecture and use cases by Mohamed Zouheir Kastouni, Ayoub Ait Lahcen

“…The purpose of this study focuses on a BDA telecommunications project, namely, Project’s Governance, Architecture, Data Governance and the BDA Project’s Team. The last part of this study presents useful BDA use cases, in terms of applications enabling revenue creation and cost optimization. …”
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Progress on the application of supercomputer brain simulation technology by SUN Zhe

“…Finally, we address the critical challenges and future directions in this rapidly evolving domain, including the trade⁃off between computational cost and biological realism, data integration and validation, and the necessity for interdisciplinary collaboration. …”
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Properties and Applications of Neutrosophic Burr XII Distribution by Laila A. Al-Essa, Farrukh Jamal, Shakaiba Shafiq, Sadaf Khan, Qamer Abbas, Rehan Ahmad Khan Sherwani, Muhammad Aslam

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