Building a Data Store with the Dynamic Structure by Yu. N. Artamonov

“…A new logical model of the data warehouse with dynamic structure is proposed. …”
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Structure preserving t-SNE of matrix framed data by Soohyun Ahn, Johan Lim, Wei Jiang, Sungim Lee, Xinlei Wang

“…These elements can take various forms, such as scalars, vectors, time series, matrices, or arrays. Existing data visualization methods aim to represent data elements of different groups without considering the underlying two-dimensional structure present in matrix-framed data. …”
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Advancing plant metabolic research by using large language models to expand databases and extract labeled data by Rachel Knapp, Braidon Johnson, Lucas Busta

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Implementing a Common Data Model in Ophthalmology: Mapping Structured Electronic Health Record Ophthalmic Examination Data to Standard Vocabularies by Justin C. Quon, MD, Christopher P. Long, MD, William Halfpenny, MBBS, MEng, Amy Chuang, MS, Cindy X. Cai, MD, MS, Sally L. Baxter, MD, MSc, Vamsi Daketi, MS, Amanda Schmitz, BS, Neil Bahroos, MS, Benjamin Y. Xu, MD, PhD, Brian C. Toy, MD

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A new algorithm by embedding structured data for low-rank tensor ring completion by Ruiping Wen, Tingyan Liu, Yalei Pei

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A comprehensive diagnostic framework for hepatitis C using structured data and predictive analytics by Behnaz Motamedi, Balázs Villányi

“…This study posits that a structured preprocessing and feature selection methodology might substantially improve the classification accuracy and generalizability of machine learning (ML) models in predicting stages of hepatitis C virus (HCV) using clinical and demographic data. …”
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Structured Summarization of League of Legends Match Data Optimized for Large Language Model Input by Jooyoung Kim, Wonkyung Lee, Jungwoon Park

“…This paper introduces the League of Legends Match Data Compactor (LoL-MDC), a tool designed to transform extensive match data into a concise and structured format optimized for LLM processing. …”
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A structured approach for data collection and visualization of the International Childhood Cancer Core Outcomes by R.J. van Kalsbeek, L.H. Grundeken, R.L. Mulder, M.M. Hudson, M.J. Ehrhardt, J.G. den Hartogh, R.J. Riezebos, H. van Tinteren, W.J.W. Kollen, M.A. Grootenhuis, R. Pieters, L.C.M. Kremer, M. van der Heiden-van der Loo, F.K. Aarsen, M.J.R.J. Bouts, M.P. Dierselhuis, E.A.M. Feijen, N.E. Franke, B.F. Goemans, V. de Haas, E.W. Hoving, K.M.J. Heitink-Polle, E. Kilsdonk, C.A. Lindemans, L. Meijer, H. Merks, F.A.G. Meyer-Wentrup, A.M.C. Mavinkurve-Groothuis, D.W.G.D. Oomen, M. Partanen, S.L.A. Plasschaert, A.Y.N. Schouten-Meeteren, J.C. Teepen, C. van den Bos, M.M. van den Heuvel-Eibrink, M. van Grotel, R.R.L van Litsenburg, M.M. van Noesel, H.M. van Santen, M.J. Vincent, H.J. Vormoor, D. van Vuurden, M.H.W.A. Wijnen, J. Zsiros

“…Conclusion: Developing a structured approach for data collection and visualization of the International Childhood Cancer Core Outcomes is an extensive process involving multiple steps. …”
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An Optimised Method for Fetching and Transforming Survey Data based on SQL and R Programming Language by Hasan et al.

Subjects: “…Data transformation, NoSQL, R programming, Structured query language.…”
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Data structure and privacy protection analysis in big data environment based on blockchain technology by Yu Wang

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Structural separation of data property rights based on data factor circulation value chain by Lihua HUANG, Wanli DU, Biyu WU

Subjects: “…data factor;data property rights;market logic;data factor circulation value chain;structural separation…”
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Enhancing Anomaly Detection in Structured Data Using Siamese Neural Networks as a Feature Extractor by Elizabeth P. Chou, Bo-Cheng Hsieh

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Analysis of data with spatial structure in wireless communication systems by TIAN Nai-shuo1, LIU Ming-xing2, MA Zhan-you1

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Model Checking of Distributed Systems with Affine Data Structures by N. O. Garanina

“…A new data structure is suggested for symbolic model checking of distributed systems defined by linear functions of integer variables.…”
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Developing data structuring modules for the content management system by M. V. Sterjanov, I. V. Baidackov

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Inference of population structure using dense haplotype data. by Daniel John Lawson, Garrett Hellenthal, Simon Myers, Daniel Falush

“…In parallel, we have developed an efficient model-based approach to identify discrete populations using this matrix, which offers advantages over PCA in terms of interpretability and over existing clustering algorithms in terms of speed, number of separable populations, and sensitivity to subtle population structure. We analyse Human Genome Diversity Panel data for 938 individuals and 641,000 markers, and we identify 226 populations reflecting differences on continental, regional, local, and family scales. …”
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Data structures for deductive simulation of HDL conditional operators by Yevhenii Shovkovyi, Olena Grinyova, Serhii Udovenko, Larysa Chala

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How to structure data from an IoT monitoring network by Ziwen Yu

“…This publication discusses the typical attributes in IoT monitoring networks and presents a data structure that outlines best practices in organizing data. …”
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NEW DATA ON THE STRUCTURE OF THE OFFSHORE MARGIN OF THE NORTHERN SAKHALIN by Vladimir L. Lomtev, Anna V. Litvinova

“…This publication presents new data obtained with CDP, gravimetry and magnetometry methods, showing the structure of the offshore margin of the Northern Sakhalin further from the Okhinsky bridge and the Schmidt peninsula, and results of geological interpretation of these data. …”
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Human interaction with structure in designing big data architecture by Wandisa Nyikana, Tiko Iyamu

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