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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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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Hospital Accessibility Catchment Areas as a Fuzzy Lattice Data Structure by M. de Klerk, I. Fabris-Rotelli

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Data Interpretation in Structural Health Monitoring: Toward a Universal Language by Magda Ruiz, Óscar Gualdrón, José A. Peral Mondaza, Luis Eduardo Mujica Delgado

Subjects: “…Structural Health Monitoring (SHM)…”
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Panel Data Analysis of Export Structure and Growth: Case of BRICS-T Countries by Necip Dündar, Yüksel Bayraktar

“…Realisation of specialisation in areas dominated by technological production structure and the technological level of exported goods are essential determinants of macroeconomic performance. …”
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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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AUTOMATION OF OPERATIONAL CONTROL OF DATA FLOWS OF THE METALLURGICAL ENTERPRISE ORGANIZATIONAL STRUCTURE by A. N. Chichko, N. V. Andrianov, Ju. V. Jatskevich

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THE STRUCTURE OF COSTS OF ANTIEPILEPTIC THERAPY ACCORDING TO THE DATA OF CENTER FOR CHILDREN WITH EPILEPSY by E. V. Shagrova, N. V. Orekhova, M. V. Leonova, P. N. Vlasov

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NEW DATA ON THE GEOLOGICAL STRUCTURE OF THE SYNNYR ULTRA-K INTRUSIVE FORMATION by S. A. Smyslov, A. E. Kayukov, A. O. Bystritsky, A. N. Sokolova, I. A. Sotnikova, A.  Yu. Rytsk

“…An extensive complex of geological and geochemical studies has been carried out, including exploratory drilling, which was carried out on the massif for the first time. The data obtained made it possible to significantly change the idea of the structure of the massif, including a different look at the regularities of the placement of potash-alumina ores, significantly increasing the ore potential and the reliability of its assessment. …”
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Disassembling-Based Structural Damage Detection Using Static Measurement Data by Eun-Taik Lee, Hee-Chang Eun

“…Damage detection methods can be classified into global and local approaches depending on the division of measurement locations in a structure. The former utilizes measurement data at all degrees of freedom (DOFs) for structural damage detection, while the latter utilizes data of members and substructures at a few DOFs. …”
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Intra-BRICS Trade: A Panel Data Analysis with Structural Breaks by Alper Yılmaz

“…For this purpose, we employed the Westerlund and Edgerton cointegration approach to check for cointegration under structural breaks and the procedure for the asymmetric Granger non-causality test to assess the causal relationship between the custom tariff and export variables of BRICS countries with regard to the panel data methodology for the 2000-2020 period using annual data. …”
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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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Structuring Multidimensional Data in the Study of the Development of Information Society in Russian Regions by N. M. Gabdullin, I. A. Kirshin

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The method to develop classifi ers based on geometrical interpretation of data structure by М. N. Nessonova

“…It is based on metric approach to representations, generated by statistical methods of geometric interpreting of data structure.…”
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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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Preliminary data on terrestrial isopods from some railways in Dobruja, eastern Romania by Daniel-Răzvan POP, Alexandra-Roxana-Maria MAIER, Achim-Mircea CADAR, Sára FERENȚI

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Social environment and brain structure in adolescent mental health: A cross-sectional structural equation modelling study using IMAGEN data. by Jessica Stepanous, Luke Munford, Pamela Qualter, Tobias Banaschewski, Frauke Nees, Rebecca Elliott, IMAGEN Consortium

“…The current study addressed that gap by applying structural equation modelling to IMAGEN data from adolescents aged 14 years (n = 1950). …”
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SemantiPack: An Efficient Real-World Data Compressor Using Structural and Semantic Metadata by Yoshiteru Nagata, Daiki Kohama, Yoshiki Watanabe, Shin Katayama, Kenta Urano, Takuro Yonezawa, Nobuo Kawaguchi

“…The exponential growth of Real-World Data (RWD), primarily collected from IoT sensors and spanning domains such as mobility, environment, and energy consumption, presents critical challenges due to its scale, heterogeneity, and structural variability. …”
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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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Ancestor regression in structural vector autoregressive models by Schultheiss Christoph, Ulmer Markus, Bühlmann Peter

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