An Efficient Interpretable Visualization Method of Multidimensional Structural Data Matching Based on Job Seekers and Positions by Guoliang Si, Hengyi Lv, Hangfei Yuan, Dan Xie, Ce Peng

“…In this paper, we propose an efficient interpretable visualization method of multidimensional structural data matching based on job seekers and positions. …”
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Association of IL-17A levels with immuneinflammatory profile and structural MRI data in patients with schizophrenia by I. K. Malashenkova, V. L. Ushakov, S. A. Krynskiy, D. P. Ogurtsov, N. A. Khailov, A. Yu. Ratushnyy, E. I. Chekulaeva, N. V. Zakharova, G. P. Kostyuk, N. A. Didkovsky

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Prevalence rate of structural scoliosis in school children of Novosibirsk according to the computed optical topography data by V. N. Sarnadskiy, M. V. Mikhaylovskiy, T. N. Sadovaya, T. N. Orlova, S. B. Kuznetsov

“…The purpose of the paper is to study the prevalence of structural scoliosis among 6–18 year-old school children from Novosibirsk using the computed optical topography (COMOT) data.Materials and methods. …”
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DDtrek: A PyMOL-Based Management System for 3D Structural Data Series by Evgenii M. Osipov, Sergei V. Strelkov

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The relationship of arrhythmias with structural and functional heart changes according to the echocardiography data in the adult population of the Arctic by E. V. Zatonskaya, G. V. Matyushin, N. G. Gogolashvili, N. Ya. Novgorodtseva

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Agnes high, Western Desert, Egypt: A structural study in view of potential data modelling by A.A. Azab

“…These integrated approaches were accomplished in regional and shallow senses along two profiles, for better obtaining source parameters and finding out the structural style. Results of the qualitative analysis show that Agnes high gravity and magnetic association is mainly caused by a near surface igneous intrusion of NW orientation. …”
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Deep Convolutional Neural Network-Based Structural Damage Localization and Quantification Using Transmissibility Data by Sergio Cofre-Martel, Philip Kobrich, Enrique Lopez Droguett, Viviana Meruane

“…The approach is validated and exemplified by means of two case studies involving a mass-spring system and a structural beam where training data are generated from finite element models that have been calibrated on experimental data. …”
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From test data to FE code: a straightforward strategy for modelling the structural bonding interface by M. A. Lepore, M. Perrella

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Study of Optimum Structure of Basal Track Data Applied on LKJ Train Running Monitor Device by 王志伟, 王梅

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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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Feasibility and appropriateness of using electronic hierarchical structures in teaching computer science in primary school by Esen Y. Bidaibekov, Baglan B. Kaldanov

“…Based on the obtained data, the appropriateness of integrating electronic hierarchical structures into the educational process is justified. …”
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Diagnostics of Structural Thinking of Bachelors of Pedagogical Education as a Universal Pedagogical Competence by Daria A. Barkhatova, Daria S. Grushentseva

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Artificial Intelligence and Structural Health Monitoring of Bridges: A Review of the State-of-the-Art by Raffaele Zinno, Sina Shaffiee Haghshenas, Giuseppe Guido, Alessandro VItale

Subjects: “…Structural health monitoring…”
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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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