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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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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Structured noise champagne: an empirical Bayesian algorithm for electromagnetic brain imaging with structured noise by Sanjay Ghosh, Sanjay Ghosh, Chang Cai, Ali Hashemi, Yijing Gao, Stefan Haufe, Kensuke Sekihara, Ashish Raj, Srikantan S. Nagarajan

“…To the best of our knowledge, no existing algorithm has addressed the brain source estimation problem with such structured noise. We propose to apply a robust empirical Bayesian framework for iteratively estimating the brain source activity and the statistics of the structured noise. …”
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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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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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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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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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Beyond boundaries: Charting the frontier of healthcare with big data and ai advancements in pharmacovigilance by Arohi Agarwal, Gagan Singh, Samyak Jain, Piyush Mittal

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A Structured Dataset for Automated Grading: From Raw Data to Processed Dataset by Ibidapo Dare Dada, Adio T. Akinwale, Ti-Jesu Tunde-Adeleke

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Applying AI to Structured Real-World Data for Pharmacovigilance Purposes: Scoping Review by Stella Dimitsaki, Pantelis Natsiavas, Marie-Christine Jaulent

“…Hence, it is essential to investigate how AI is currently applied to structured RWD in pharmacovigilance and how new approaches could enrich the existing methodology. …”
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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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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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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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