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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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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Analyzing the function of metaverse technology in the retention and absorption of knowledge using the integrated approach of interpretive structural modeling and structural equatio... by Seyed Mojtaba Hosseinibamakan, Hajar Soleymanizadeh, Mehran Ziaeian

“…This problem affects the validity of interpretive structural modeling approach. To solve this problem and in order to validate the presented model resulting from the interpretive structural modeling approach, the structural equation modeling approach and Smart PLS software were used. …”
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Local Structural Indices Changes During Different Periods of Postherpetic Neuralgia: A Graphical Study in Structural Covariance Networks by Xiong J, Gu L, Jiang X, Kuang H, Lv H, Li Z, Xie Y, Luo Q, Jiang J

“…Eglobal and Lp can be considered as potential imaging markers for future clinical restaging of PHN.Keywords: herpes zoster, postherpetic neuralgia, structural covariance network, graph theory, small world, cortical thickness…”
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Virtual Reconstruction of no longer Existing Archaeological Structures in Highly Urbanized Areas by Laura Loredana Micoli, Umair Shafqat Malik, Gabriele Guidi

“… This paper presents a methodology for the virtual reconstruction of no longer existing archaeological structures, focusing on cases where the remains are concealed within contemporary urban environments. …”
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Pulsar Scattering as a Probe for Structures in the Interstellar Medium by Qiuyi He, Xun Shi, Guangxing Li

“…However, a connection between large-scale pulsar scattering data and the structure of the Galactic ISM has yet to be established. …”
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Regulatory roles of three-dimensional structures of chromatin domains by Kelly Yichen Li, Qin Cao, Savio Ho-Chit Chow, Chiara Nicoletti, Pier Lorenzo Puri, Huating Wang, Danny Leung, Kevin Y. Yip

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Prediction of gene expression in embryonic structures of Drosophila melanogaster. by Anastasia A Samsonova, Mahesan Niranjan, Steven Russell, Alvis Brazma

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Linguistically-driven Selection of Difficult-to-Parse Dependency Structures by Chiara Alzetta, Felice Dell’Orletta, Simonetta Montemagni, Giulia Venturi

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Generative Adversarial Network for Damage Identification in Civil Structures by Zahra Rastin, Gholamreza Ghodrati Amiri, Ehsan Darvishan

“…In recent years, many efforts have been made to develop efficient deep-learning-based structural health monitoring (SHM) methods. Most of the proposed methods employ supervised algorithms that require data from different damaged states of a structure in order to monitor its health conditions. …”
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Learning Graph Structures With Autoregressive Graph Signal Models by Kyle Donoghue, Ashkan Ashrafi

“…This method, along with real-world data from the National Climatic Data Center, is used to evaluate GL-AR’s performance in recovering undirected graph structures. …”
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Semantic Dynamics of the Constituents of the Cyclic Structures in Spanish Language by Tatyana Karbachova

“…The paper is devoted to the analysis of the semantic dynamics of the names of time segments, which are combined into lexical cyclic structures. Synchronous analysis using etymological data makes it possible to explain semantic transformations and to reveal derivational mechanisms.…”
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Finite Element Analysis of Flat Plate Structures in Fire by Mohamed Hesien, Maged A. Youssef, Salah El-Fitiany

“…While experimental fire tests have provided valuable data to understand the behaviour of isolated components of flat slabs, numerical analysis is the only route to comprehending the structural behaviour of full-scale flat plate structures during fire exposure. …”
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VIBRATION OF FRAME BUILDING STRUCTURES CAUSED BY UNDERGROUND TRAINS by P. V. Aliavdin, Y. A. Muzychkin

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Estimation of Damping in Layered Welded Structures with Unequal Thickness by Bhagat Singh, Bijoy Kumar Nanda

“…The damping model of the structure is found to be in fairly good agreement with the measured data. …”
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Complexity characterization in modeling anisotropic compact stellar structures by Shyam Das, Megandhren Govender, Somi Aktar

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Expanding the uses of genome‐scale models with protein structures by Nathan Mih, Bernhard O Palsson

“…Abstract Biology is reaching a convergence point of its historic reductionist and modern holistic approaches to understanding the living system. Structural biology has historically taken the reductionist approach to deeply probe the inner workings of complex molecular machines. …”
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