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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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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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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Enhanced Semantic Retrieval with Structured Prompt and Dimensionality Reduction for Big Data by Donghyeon Kim, Minki Park, Jungsun Lee, Inho Lee, Jeonghyeon Jin, Yunsick Sung

Subjects: “…big data…”
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Comprehensive testing of large language models for extraction of structured data in pathology by Bastian Grothey, Jan Odenkirchen, Adnan Brkic, Birgid Schömig-Markiefka, Alexander Quaas, Reinhard Büttner, Yuri Tolkach

“…Abstract Background Pathology departments generate large volumes of unstructured data as free-text diagnostic reports. Converting these reports into structured formats for analytics or artificial intelligence projects requires substantial manual effort by specialized personnel. …”
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Quality Dimensions for Automatic Assessment of Structured Cyber Threat Intelligence Data by Algimantas Venčkauskas, Vacius Jusas, Dominykas Barisas

“…Specifically, we introduce new dimensions to accommodate the requirements of the technical and tactical levels of CTI data. A comprehensive CTI quality assessment is proposed on CTI data provided in structured STIX 2.1 notation. …”
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Simplex-structured matrix factorisation: application of soft clustering to metabolomic data by Wenxuan Liu, Thomas Brendan Murphy, Lorraine Brennan

“…The SSMF presented successfully estimates a soft clustering of the metabolomic data. It provides an interpretable representation of the data structure using the cluster prototypes combined with cluster memberships. …”
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Estimation of interface tension in the structured disperse systems using rheological data by G. A. Grigoriev, R. G. Allahverdov, U. U. Stoliarov

“…A novel equation was obtained with the use of Deriagin equation and equation for estimation of the yield strength of structured emulsion. This equation permits us to estimate the surface tension in the water medium-oil particle interface (P-M) with the aid of experimental data. …”
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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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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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End-to-end data extraction framework from unstructured geotechnical investigation reports via integrated deep learning and text mining techniques by Jimin Park, Wanhyuk Seo, Tae Sup Yun

“…Based on the layout, systematic rule-based data extraction generates structured databases, which enhances data flexibility and further applications in practice. …”
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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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NEW DATA ON THE STRUCTURE OF THE OFFSHORE MARGIN OF THE NORTHERN SAKHALIN by Vladimir L. Lomtev, Anna V. Litvinova

“…This publication presents new data obtained with CDP, gravimetry and magnetometry methods, showing the structure of the offshore margin of the Northern Sakhalin further from the Okhinsky bridge and the Schmidt peninsula, and results of geological interpretation of these data. …”
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