SAFlex: A structural alphabet extension to integrate protein structural flexibility and missing data information. by Ikram Allam, Delphine Flatters, Géraldine Caumes, Leslie Regad, Vincent Delos, Gregory Nuel, Anne-Claude Camproux

“…Secondly, our new algorithm deals with the missing data in the protein structure files (concerning more than 75% of the proteins from the Protein Data Bank) in a rigorous probabilistic framework. …”
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Comprehensive Review of Multimodal Medical Data Analysis: Open Issues and Future Research Directions by Shashank Shetty, Ananthanarayana V S, Ajit Mahale

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AUTOMATED BIM ENTITY RECONSTRUCTION FROM UNSTRUCTURED 3D POINTCLOUDS by Jan Voříšek, Bořek Patzák, Edita Dvořáková, Daniel Rypl

“…Laser scanning is used widely in architecture and construction to document existing buildings by providing accurate data for creating a 3D model. The output is a set of data points in space, so-called point cloud. …”
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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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Structural Data Recognition With Graph Model Boosting by Tomo Miyazaki, Shinichiro Omachi

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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

“…The quality of this emulation depends, in part, on the availability and accessibility of data for each component of the TTF. Yet one overarching challenge with using EHR data is that unstructured fields, such as clinical encounter notes, contain copious details on the patient yet require additional steps to extract if needed in the conduct of the study. …”
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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

Subjects: “…Aeromagnetic data…”
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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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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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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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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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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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