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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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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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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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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Integrating structured and unstructured data for predicting emergency severity: an association and predictive study using transformer-based natural language processing models by Xingyu Zhang, Yanshan Wang, Yun Jiang, Charissa B. Pacella, Wenbin Zhang

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Large language models for data extraction from unstructured and semi-structured electronic health records: a multiple model performance evaluation by Vasileios Ntinopoulos, Hector Rodriguez Cetina Biefer, Igor Tudorache, Nestoras Papadopoulos, Dragan Odavic, Petar Risteski, Achim Haeussler, Omer Dzemali

“…Objectives We aimed to evaluate the performance of multiple large language models (LLMs) in data extraction from unstructured and semi-structured electronic health records.Methods 50 synthetic medical notes in English, containing a structured and an unstructured part, were drafted and evaluated by domain experts, and subsequently used for LLM-prompting. 18 LLMs were evaluated against a baseline transformer-based model. …”
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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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On Bornological Structure by Anwar.N.I, Sh.K.Said Husain

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On calculating structural similarity metrics in population-based structural health monitoring by Daniel S. Brennan, Timothy J. Rogers, Elizabeth J. Cross, Keith Worden

“…PBSHM does this by using data across an entire population, in order to improve diagnostics for a single data-poor structure. …”
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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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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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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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