Long Covid symptoms and diagnosis in primary care: A cohort study using structured and unstructured data in The Health Improvement Network primary care database. by Anoop D Shah, Anuradhaa Subramanian, Jadene Lewis, Samir Dhalla, Elizabeth Ford, Shamil Haroon, Valerie Kuan, Krishnarajah Nirantharakumar

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Towards Structured Gaze Data Classification: The Gaze Data Clustering Taxonomy (GCT) by Yahdi Siradj, Kiki Maulana Adhinugraha, Eric Pardede

“…However, raw gaze data is often noisy and lacks inherent structure, making interpretation challenging. …”
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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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On Bornological Structure by Anwar.N.I, Sh.K.Said Husain

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Structure learning: some testing problems by Marijus Radavičius, Jurgita Židanavičiūtė

“… The work is based on data about the prevalence of congenital anomalies among newborns in Lithuania. …”
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On the Structure of Measurement Noise in Eye-Tracking by Charles A. Coey, Sebastian Wallot, Michael J. Richardson, Guy Van Orden

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Collaborative Governance Structures for Interoperability in the EU’s new data acts by Jens-Peter Schneider, Johannes Erny, Franka Enderlein, Herwig C.H. Hofmann, Felix Pflücke

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Segmentation study of nanoparticle topological structures based on synthetic data. by Fengfeng Liang, Yu Zhang, Chuntian Zhou, Heng Zhang, Guangjie Liu, Jinlong Zhu

“…In this study, a segmentation method of nanoparticle topological structure based on synthetic data (SD) is proposed, which aims to solve the issue of small data in the field of materials. …”
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Structured Dynamics in the Algorithmic Agent by Giulio Ruffini, Francesca Castaldo, Jakub Vohryzek

“…In the Kolmogorov Theory of Consciousness, algorithmic agents utilize inferred compressive models to track coarse-grained data produced by simplified world models, capturing regularities that structure subjective experience and guide action planning. …”
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On calculating structural similarity metrics in population-based structural health monitoring by Daniel S. Brennan, Timothy J. Rogers, Elizabeth J. Cross, Keith Worden

“…The newly introduced discipline of Population-Based Structural Health Monitoring (PBSHM) has been developed in order to circumvent the issue of data scarcity in “classical” SHM. …”
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Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering by Giles M. Foody

“…This output provides a topologically structured representation of the image data, allowing spectrally similar pixels to be grouped together and the similarity of different clusters to be assessed. …”
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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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Structural biology meets typography: using protein structures to inspire creative expression and connect diverse audiences by Leonora Martínez-Núñez

Subjects: “…protein structure…”
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Ground Segmentation for LiDAR Point Clouds in Structured and Unstructured Environments Using a Hybrid Neural–Geometric Approach by Antonio Santo, Enrique Heredia, Carlos Viegas, David Valiente, Arturo Gil

“…The method hierarchically partitions point clouds into adaptive sectors, leveraging PCA-derived geometric features and dynamic variance thresholds for robust terrain modeling, while a SCNN resolves ambiguities in data-sparse regions. Evaluated in structured (SemanticKITTI) and unstructured (Rellis-3D) environments, two different versions of the proposed method are studied, including a purely geometric method and a hybrid approach that exploits deep learning techniques. …”
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Structural modelling of subsurface geologic structures in Anambra and adjoining Bida Basins using aeromagnetic data: Implications for mineral explorations.

“…Aeromagnetic data over parts of the Northern Anambra and Southern Bida basins have been evaluated with emphasis on the subsurface geologic structures controlling mineralization and delineating the geomorphology of the basin. …”
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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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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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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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