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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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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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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Product and Process Data Structure for Automated Battery Disassembly by Domenic Klohs, Moritz Frieges, Jonas Gorsch, Philip Ellmann, Heiner Hans Heimes, Achim Kampker

“…Further efforts must be made to establish data structures and standards regarding product- and process-related disassembly data.…”
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HETEROGENEOUS LITHOSPHERIC STRUCTURE OF THE FENNOSCANDIAN SHIELD: SEISMIC DATA by N. V. Sharov, A. A. Lebedev

“…This provided an opportunity to obtaine quantitative data on the horizontal and vertical heterogeneities of the lithosphere. 3D seismological models were first constructed for the individual parts of the Fennoscandian Shield which show that the crystalline crust structure acquires a block hierarchy pattern, with no persistent seismic boundaries found within the entire shield. …”
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anomaly: Detection of Anomalous Structure in Time Series Data by Alex Fisch, Daniel Grose, Idris A. Eckley, Paul Fearnhead, Lawrence Bardwell

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Structural Stability of Pseudo-Parabolic Equations for Basic Data by Yanping Wang, Yuanfei Li

“…This article investigates the spatial decay properties and continuous dependence on the basic geometric structure. Assuming that the total potential energy is bounded and the homogeneous Dirichlet condition is satisfied on the side of the solution within the cylindrical domain, we establish an auxiliary function related to the solution. …”
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Real time structural search of the Protein Data Bank. by Dmytro Guzenko, Stephen K Burley, Jose M Duarte

“…This fact, together with recent growth of oligomeric structures in the Protein Data Bank (PDB), demands more efficient approaches to oligomeric assembly alignment/retrieval. …”
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Deep structure of South Kamchatka according to geophysical data by Yu. F. Moroz, L. I. Gontovaya

“…Comprehensive analysis of the geological and geophysical data shows differences in the structure of the crust and upper mantle in North and South Kamchatka and common features of the deep structures of South Kamchatka and the Kuril Islands. …”
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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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A Model-driven Approach to Data Structure Conceptualization by Sonja Ristić, Slavica Kordić, Milan Čeliković, Vladimir Dimitrieski, Ivan Luković

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Assessing the harmonization of structured electronic health record data to reference terminologies and data completeness through data provenance by Keith Marsolo, Lesley Curtis, Laura Qualls, Jennifer Xu, Yinghong Zhang, Thomas Phillips, C. Larry Hill, Gretchen Sanders, Judith C. Maro, Daniel Kiernan, Christine Draper, Kevin Coughlin, Sarah K. Dutcher, José J. Hernández‐Muñoz, Monique Falconer

“…Abstract Introduction (1) Assess the harmonization of structured electronic health record data (laboratory results and medications) to reference terminologies and characterize the severity of issues. (2) Identify issues of data completeness by comparing complementary data domains, stratifying by time, care setting, and provenance. …”
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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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Leveraging AlphaFold2 structural space exploration for generating drug target structures in structure-based virtual screening by Keisuke Uchikawa, Kairi Furui, Masahito Ohue

“…However, the absence of experimentally determined three-dimensional protein structures often limits the applicability of structure-based VS. …”
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The Use of Column-Based DBMSS to Form Multidimensional Data Structures by Dmitry Kunitsky, Maxim Fomin

“…The key point in the structure of the information system is the way of transition from the “Data vault” model to a multidimensional model of data representation based on associative rules of dependence between information objects.…”
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