The financial impact of human resources configuration: A quantitative analysis based on modified single candidate optimizer by Zhuozhuo Zhang, Jun Lu, Qi Wang

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Features of the use of big data in the financial sector by F. O. Chernenkov

“…The relevance of   the rapid development of  the big data technology and the expediency of   its use in   this sphere is   substantiated. …”
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Opsoclonus-Myoclonus Syndrome in Children: Modern Data by Irina F. Fedoseeva, Alexey V. Goncharenko, Tatyana V. Poponnikova, Vladimir A. Goncharenko

“…Therapeutic approaches have been being improved due to clinical data accumulation, long-term consequences analysis, and study of pathogenesis. …”
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Domain question-driven Linked Data modeling by Sofia Baroncini, Marilena Daquino, Francesca Tomasi

“…This paper addresses the challenge of experimenting with the translation of qualitative research into a quantitative one, by presenting the experience of the creation of a domain-specific Linked Open Data (LOD) dataset of iconographic and iconological art studies, namely, the Iconology Dataset. …”
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Data Anonymization and Privacy Preservation in Healthcare Systems by Datta Krishnasheesh, Gupta Himanshu

“…The rapid development of digital technologies has enabled the creation of modern information systems; yet, it has also brought unprecedented challenges towards data security and user privacy. …”
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Communicating clearly about data sharing in genomics by Donrich Thaldar, Diya Uberoi, Adrian Thorogood, Richard Milne, Ainsley J. Newson, Alison Hall, David Glazer, Paul Esselaar, Yann Joly

“…To address these barriers, the Global Alliance for Genomics and Health (GA4GH), a global standards-setting organization in genomics, has developed a standardized lexicon of key terms for data sharing, including the nascent terms data visiting and federated data analysis. …”
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The pitfalls and benefits of using administrative data for internal migration research: An evaluation of Australia’s Person Level Integrated Data Asset (PLIDA) by Aude Bernard, Jing Wu, Tom Wilson, Neil Argent, Tomasz Zając, Anthony Kimpton

“…CONTRIBUTION: Researchers need to be aware of the pitfalls of administrative data to knowingly decide on appropriate use. We recommend researchers to keep abreast of developments by the Australia Bureau of Statistics, which is continuously improving PLIDA. …”
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Vessel Trajectory Data Mining: A Review by Alexandros Troupiotis-Kapeliaris, Christos Kastrisios, Dimitris Zissis

“…Furthermore, this study provides an in-depth analysis of recent developments in trajectory data mining as applied to the maritime sector, identifying available data sources and conducting a detailed examination of significant applications, including trajectory forecasting, activity recognition, and trajectory clustering.…”
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Diversifying configurational paths for athlete data protection by Xinyan Guo, Xiaoyu Li, Mengqi Guo

“…Abstract In the digital era, data has become a core resource driving the development of the global sports industry. …”
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Nonparametric expectile shortfall regression for functional data by Almanjahie Ibrahim M., Abood Hanan, Bouzebda Salim, Alshahrani Fatimah, Laksaci Ali

“…This work addresses the issue of financial risk analysis by introducing a novel expected shortfall (ES) regression model, which employs expectile regression to define the shortfall threshold in financial risk management. …”
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Exchange of Quantitative Computed Tomography Assessed Body Composition Data Using Fast Healthcare Interoperability Resources as a Necessary Step Toward Interoperable Integration of... by Yutong Wen, Vin Yeang Choo, Jan Horst Eil, Sylvia Thun, Daniel Pinto dos Santos, Johannes Kast, Stefan Sigle, Hans-Ulrich Prokosch, Diana Lizzhaid Ovelgönne, Katarzyna Borys, Judith Kohnke, Kamyar Arzideh, Philipp Winnekens, Giulia Baldini, Cynthia Sabrina Schmidt, Johannes Haubold, Felix Nensa, Obioma Pelka, René Hosch

“…The FHIR profiles were developed based on 2 primary observation types: Body Composition Analysis (BCA Observation) for quantitative body composition metrics and Body Structure Observation for organ measurements. …”
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Diagnosis of depression based on facial multimodal data by Nani Jin, Renjia Ye, Peng Li

“…Traditional scale-based depression diagnosis methods often have problems of strong subjectivity and high misdiagnosis rate, so it is particularly important to develop automatic diagnostic tools based on objective indicators.MethodsThis study proposes a deep learning method that fuses multimodal data to automatically diagnose depression using facial video and audio data. …”
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Genetic marker data for sweetpotato improvementDataverse by Imana L. Power, Brian E. Scheffler, Xiaofen F. Liu, Sheron A. Simpson, Linda L. Ballard, Marshall C. Lamb, Renee S. Arias

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Data integration and synthesis for pandemic and epidemic intelligence by Barbara Tornimbene, Zoila Beatriz Leiva Rioja, Manoel Barral-Netto, Carlos Castillo-Salgado, Irena Djordjevic, Moritz Kraemer, Martina McMenamin, Oliver Morgan

“…Abstract The COVID-19 pandemic highlighted substantial obstacles in real-time data generation and management needed for clinical research and epidemiological analysis. …”
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ANCHOR: Global Parametrized Ionospheric Data Assimilation by Victoriya V. Forsythe, Sarah E. McDonald, Kenneth F. Dymond, Bruce A. Fritz, Angeline G. Burrell, Katherine A. Zawdie, Douglas P. Drob, Meghan R. Burleigh, Dustin A. Hickey, Christopher A. Metzler, David D. Kuhl, Daniel Hodyss, Joe H. Hughes

“…It only takes a few minutes for ANCHOR to complete the data assimilation (DA) for one day, including data pre‐processing and model set up. …”
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Metadata Extraction and Management in Data Lakes With GEMMS by Christoph Quix, Rihan Hai, Ivan Vatov

“…Data lakes should reduce the upfront integration costs and provide a more flexible way for data integration and analysis, as source data is loaded in its original structure to the data lake repository. …”
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POVERTY PANEL DATA MODELING IN SOUTH SUMATERA by Nurul Hidayati, Herlin Fransiska, Winalia Agwil

“…One method that can be used to analyze poverty data problems is panel data regression analysis, which combines two data, namely cross-sectional data and time series data. …”
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Evaluating the Usability and Variability of Data on Transport for Modelling by WILFRED GORDIAN KAZAURA

“…Data analysis were conducted using statistical methods. …”
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Remittances and the Dutch Disease: an empirical analysis in the context of Ethiopia by Mohammed Yimam Ali, Getachew Abebaw Ayele

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Big Data: Survey, Technologies, Opportunities, and Challenges by Nawsher Khan, Ibrar Yaqoob, Ibrahim Abaker Targio Hashem, Zakira Inayat, Waleed Kamaleldin Mahmoud Ali, Muhammad Alam, Muhammad Shiraz, Abdullah Gani

“…Hence, this study comprehensively surveys and classifies the various attributes of Big Data, including its nature, definitions, rapid growth rate, volume, management, analysis, and security. …”
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