Multiple-Valued Logic, Vocabulary Structure, and Linked List for Data Verification in Dialog Communications of Agents by Alexey Bykovsky

“…Multiple-valued logic is used here as the convenient method to provide autonomous navigation in a multi-parametric structure of data and verification variables.…”
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A Method for Compressing Event Log Data Based on Combinatorial Generation Using AND/OR Tree Structures by Yuriy Shablya

“…Based on this idea, a method for compressing event log data based on combinatorial generation using AND/OR tree structures is proposed. …”
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The Polymetallic Deposits of the Western European Plate and Structure of the Earth's Crust According to GOCE Gravity Data by Galyamov A. L., Volkov A. V., Lobanov K. V.

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Gravity Data Fusion and Imaging of Geological Structures in the Red River Fault Zone and Adjacent Areas by Guiju Wu, Fei Yu, Hongbo Tan, Jiapei Wang, Weihua Liu

“…The geological structure in the Red River fault zone (RRF) and adjacent areas is complex. …”
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The practice of capital structure choice in the Czech Republic: A comparative study based on the global data by Lenka Strýčková

“…The aim of this contribution is to reveal the general practice in corporate financing in the Czech Republic, capital structure choice in particular, by means of comparison with the global data. …”
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The Structure, Populations, and Kinematics of the Milky Way Central and Inner Bulge with OGLE, APOGEE, and Gaia Data by Xiao Han, Hai-Feng Wang, Giovanni Carraro, Martín López-Corredoira, Yuan-Sen Ting, Yang-Ping Luo, Guan-Yu Wang, (MWLUDPSG Collaboration)

“…We present an analysis of the structure, kinematics, and chemo-dynamical properties of the Milky Way bulge using RR Lyrae stars from Optical Gravitational Lensing Experiment (OGLE), and giant stars from APOGEE and Gaia that have distances placing them in the inner Galaxy. …”
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NDVI time-series data reconstruction for spatial-temporal dynamic monitoring of Arctic vegetation structure by Zihong Liu, Da He, Qian Shi, Xiao Cheng

“…We explore its usability in monitoring vegetation structure variation in Vorkuta region (transition zone of tundra and taiga in the Arctic Circle) based on MODIS data. …”
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An Enhanced Cloud Network Integrity and Fair Compensation Scheme Through Data Structures and Blockchain Enforcement by Renato Racelis Maaliw

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Thermogravimetric data suggest synergy between different organic fractions and clay in soil structure formation by Ivan Šimkovic, Andrej Hrabovský, Adela Joanna Hamerníková, Silvia Ihnačáková, Pavel Dlapa

“…Although it has been recognized that soil structure formation affects soil organic carbon (SOC) sequestration, experimental data elucidating the relation between mechanical properties of soil structure and soil organic matter (SOM) stability are lacking. …”
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Composition and structure of upper Jurassic black shales from the Moscow region considering new data by S. Yu. Malenkina

“…The accumulation of the shales is discovered to depend on a paleorelief and the depth of the pool, and they are confined to the pre-Jurassic structural hollows, while in the shallow elevated areas there are low-thickness condensed sections with the complete absence of the shales and the presence of almost solely phosphate interlayers.…”
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Improving the performance of damage repair in thin-walled structures with analytical data and machine learning algorithms by Abdul Aabid, Md Abdul Raheman, Meftah Hrairi, Muneer Baig

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Lagrangian coherent structures influence the spatial structure of marine food webs by Jacquelyn M. Veatch, Matthew J. Oliver, Erick Fredj, Hank Statscewich, Kim Bernard, Ashley M. Hann, Grant Voirol, Heidi L. Fuchs, William R. Fraser, Josh T. Kohut

“…Here, we used an in-situ optical dataset to detect phytoplankton patches, active acoustics to observe krill, and GPS-tagged penguins to observe three levels of the food web. These data allowed us to investigate whether the local food web overlaps with small-scale surface transport patterns as evidence that dynamic flows structure marine food webs. …”
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Complex Structures of Intermetallic Compounds Interpreted as Intergrowth of Segments of Simple Structures by Erwin Parthé, Bernard A. Chabot, Karin Cenzual

“… By the end of 1982 more than 2000 structure types were known for intermetallic compounds (elements, binary and multicomponent alloys) according to «Pearson’s Handbook of Crystallographic Data for Intermetallic Phases». …”
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Real-time data in cancer registries: Validation of an automated data extraction system by Sylvie A.M. Langhout, Sjoerd J.F. Hermans, Anna J.T. Smit, Elizabeth Berkx, Sophie A. Kurk, Keetje J. Schade, Eduardus F.M. Posthuma, Otto Visser, Jan J. Cornelissen, Peter C. Huijgens, Jurjen Versluis, Maarten van der Wilt, Avinash G. Dinmohamed

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Integrated structural analysis for geothermal exploration: A new protocol combining remote sensing and aeromagnetic geophysical data by Jawad Rafiq, Israa S. Abu-Mahfouz, Konstantinos Chavanidis, Pantelis Soupios

“…The approach integrates surface data from remote sensing and data from airborne magnetic geophysical surveys that provide information on the subsurface structures, to analyze structural lineament density analysis, orientation, and high permeable zones, and assess geothermal potential. …”
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On a data model associated with antitrust behaviors by Weiguang Zhou, Guangxin Wang, Jixiao Lu, Hongxin Ruan, Jun Wang, Rui Zhang

Subjects: “…data analysis…”
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On the use of natural language processing to implement the target trial framework using unstructured data from the electronic health record by Nicole Rafalko, Milena Gianfrancesco, Neal D. Goldstein

“…Natural language processing (NLP) represents a spectrum of methods to assist with automating this extraction, from simpler rule-based methods to machine learning and artificial intelligence approaches that can handle complex language structures. What follows is a discussion on how NLP methods can augment information and data for researchers looking to estimate a treatment effect using EHR data via the TTF to emulate the hypothetical clinical trial. …”
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Explainable Artificial Intelligence-Based Diseases Diagnosis From Unstructured Clinical Data and Decision Making Using Blockchain Technologies by Sumathi M., S. P. Raja

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Prevalence and clinical characteristics of patients with rheumatoid arthritis with interstitial lung disease using unstructured healthcare data and machine learning by Raul Castellanos-Moreira, Diego Benavent, Alejandra López Robles, Ernesto Trallero-Araguás, Lucía Silva-Fernández, Juliana Restrepo, Jose A Román Ivorra, Maria Lopez Lasanta, Laura Cebrián, Leticia Lojo, Belén López-Muñíz, Julia Fernández-Melon, Belén Núñez, Raúl Veiga Cabello, Pilar Ahijado, Isabel De la Morena Barrio, Nerea Costas Torrijo, Belén Safont, Enrique Ornilla, Arantxa Campo, Jose L Andreu, Elvira Díez, Elena Bollo, David Vilanova, Sara Luján Valdés

“…This study aimed to estimate the prevalence of RA and ILD in patients with RA (RAILD) in Spain, and to compare clinical characteristics of patients with RA with and without ILD using natural language processing (NLP) on electronic health records (EHR).Methods Observational case–control, retrospective and multicentre study based on the secondary use of unstructured clinical data from patients with adult RA and RAILD from nine hospitals between 2014 and 2019. …”
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Automated bone property analysis using corrected in vivo dental cone-beam CT data of human wrists by Benjamin Klintström, Anna Spångeus, Alexandr Malusek, Alexander Synek, Mischa Woisetschläger, Dieter Pahr, Eva Klintström

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