Structural Data Recognition With Graph Model Boosting by Tomo Miyazaki, Shinichiro Omachi

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Cardinality-constrained structured data-fitting problems by Fan, Zhenan, Fang, Huang, Friedlander, Michael P.

“…A memory-efficient solution framework is proposed for the cardinality-constrained structured data-fitting problem. Dual-based atom-identification rules reveal the structure of the optimal primal solution from near-optimal dual solutions, which allows for a simple and computationally efficient algorithm that translates any feasible dual solution into a primal solution satisfying the cardinality constraint. …”
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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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Three-Way Merging Algorithm for Structured Data by Jan Janech, Patrik Hrkut, Matej Mesko, Marek Tavac

“…Since the diff3 algorithm is designed only for merging text files, we had to change it to enable data merging at the level of programming structures. …”
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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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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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Structural controls of gold mineralisation in Birrimian structures, Western Mali: insights from magnetic data analysis by Imen Hamdi Nasr, Adama Youssouf Koné, Wajdi Belkhiria, Adnen Amiri, Aboubacar Denon, Souleymane Sangaré, Mohamed Hedi Inoubli, Saïdou Ly

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STRUCTURAL FEATURES OF THE DEEP STRUCTURE OF THE SOUTHEASTERN YANA-KOLYMA FOLD SYSTEM FROM COMPLEX GEOPHYSICAL DATA by N. K. Gayday, N. A. Goryachev, I. M. Khasanov, E. Yu. Goshko

“…Ore deposits of the Magadan region are now in the focus of comprehensive studies as information on their deep structure is needed for both subsoil prospecting and regional development planning. …”
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Unifying Structured Data as Graph for Data-to-Text Pre-Training by Shujie Li, Liang Li, Ruiying Geng, Min Yang, Binhua Li, Guanghu Yuan, Wanwei He, Shao Yuan, Can Ma, Fei Huang, Yongbin Li

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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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Data structures for deductive simulation of HDL conditional operators by Yevhenii Shovkovyi, Olena Grinyova, Serhii Udovenko, Larysa Chala

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Data structures for deductive simulation of HDL conditional operators by Євгеній Шовковий, Олена Гриньова, Сергій Удовенко, Лариса Чала

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Unstructured Electronic Health Records of Dysphagic Patients Analyzed by Large Language Models by Luisa Neubig, Deirdre Larsen, Melda Kunduk, Andreas M. Kist

“…We analyze diagnoses provided in unstructured free text that do not follow a standardized structure. …”
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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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JASBO: Jaya Average Subtraction Based Optimization with Deep Learning Model for Multi-Classification of Infectious Disease from Unstructured Data by Vian Sabeeh, Ahmed Bahaaulddin A. Alwahhab, Ali Abdulmunim Ibrahim Al-kharaz

“…In this research, proposed Jaya Average Subtraction Based Optimization (JASBO), which is enabled by Deep Learning (DL) is used to classify infectious diseases into many categories from unstructured data. Moreover, the DL model used is Infectious Disease Network (ID-Net) which combines Convolutional Neural Network (CNN) and Bidirectional-Long Short-Term Memory (Bi-LSTM). …”
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MATERIALS AND MODERN STRUCTURAL SOLUTIONS FOR BUILDING STRUCTURES by L. V. Morgun, A. Yu. Bogatina, V. N. Morgun

“…An analysis of the effectiveness of heat-insulating and structural fibre-reinforced concrete in terms of their mechanical and physical properties, including frost resistance, is carried out.Results. …”
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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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