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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The Polymetallic Deposits of the Western European Plate and Structure of the Earth's Crust According to GOCE Gravity Data by Galyamov A. L., Volkov A. V., Lobanov K. V.

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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 practice of capital structure choice in the Czech Republic: A comparative study based on the global data by Lenka Strýčková

“…The aim of this contribution is to reveal the general practice in corporate financing in the Czech Republic, capital structure choice in particular, by means of comparison with the global data. …”
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The Structure, Populations, and Kinematics of the Milky Way Central and Inner Bulge with OGLE, APOGEE, and Gaia Data by Xiao Han, Hai-Feng Wang, Giovanni Carraro, Martín López-Corredoira, Yuan-Sen Ting, Yang-Ping Luo, Guan-Yu Wang, (MWLUDPSG Collaboration)

“…We present an analysis of the structure, kinematics, and chemo-dynamical properties of the Milky Way bulge using RR Lyrae stars from Optical Gravitational Lensing Experiment (OGLE), and giant stars from APOGEE and Gaia that have distances placing them in the inner Galaxy. …”
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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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NDVI time-series data reconstruction for spatial-temporal dynamic monitoring of Arctic vegetation structure by Zihong Liu, Da He, Qian Shi, Xiao Cheng

“…We explore its usability in monitoring vegetation structure variation in Vorkuta region (transition zone of tundra and taiga in the Arctic Circle) based on MODIS data. …”
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Thermogravimetric data suggest synergy between different organic fractions and clay in soil structure formation by Ivan Šimkovic, Andrej Hrabovský, Adela Joanna Hamerníková, Silvia Ihnačáková, Pavel Dlapa

“…Although it has been recognized that soil structure formation affects soil organic carbon (SOC) sequestration, experimental data elucidating the relation between mechanical properties of soil structure and soil organic matter (SOM) stability are lacking. …”
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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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Composition and structure of upper Jurassic black shales from the Moscow region considering new data by S. Yu. Malenkina

“…The accumulation of the shales is discovered to depend on a paleorelief and the depth of the pool, and they are confined to the pre-Jurassic structural hollows, while in the shallow elevated areas there are low-thickness condensed sections with the complete absence of the shales and the presence of almost solely phosphate interlayers.…”
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State of India's Birds 2023: A framework to leverage semi‐structured citizen science for bird conservation by Ashwin Viswanathan, Karthik Thrikkadeeri, Pradeep Koulgi, Praveen J., Arpit Deomurari, Ashish Jha, Ashwin Warudkar, Kulbhushansingh Suryawanshi, M. D. Madhusudan, Monica Kaushik, Naman Goyal, Rajah Jayapal, Suhel Quader, Sutirtha Dutta, Tarun Menon, Vivek Ramachandran

“…Semi‐structured data are generated and uploaded by birdwatchers to citizen science platforms such as eBird. …”
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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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Web text mining method based on subtopic selection and three-level stratified structure by Yuzhen SHI, Donghong SHAN

Subjects: “…data sparseness;text mining;stratified structure;diversity…”
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Analysis of 19-inch and metric mechanical structures for electronic equipment by A. A. Yefimenko, A. P. Karlangach

“…To compare these two systems, we have selected parameters which make it possible to make a quantitative assessment and can be calculated on the basis of the data from standards for such mechanical structures. …”
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Reconfigurable Silicon Photonic Processor Based on SCOW Resonant Structures by Liangjun Lu, Lin Shen, Wei Gao, Linjie Zhou, Jianping Chen

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Non-parametric correlation structures and their respective embeddings in predictive analysis by Adam Dudáš

“…These models are implemented in Python language to ensure broad accessibility and integration into existing data analysis pipelines. Once implemented, the concept of embedding non-parametric correlation chains within non-parametric correlation graphs is explored to enhance the interpretability of correlation structures of a dataset. …”
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