Conservation of structural brain connectivity in people with multiple sclerosis by Gerard Martí-Juan, Jaume Sastre-Garriga, Angela Vidal-Jordana, Sara Llufriu, Eloy Martinez-Heras, Sergiu Groppa, Gabriel González-Escamilla, Maria A. Rocca, Massimo Filippi, Einar A. Høgestøl, Hanne F. Harbo, Michael A. Foster, Sara Collorone, Ahmed T. Toosy, Menno M. Schoonheim, Eva Strijbis, Giuseppe Pontillo, Maria Petracca, Gustavo Deco, Àlex Rovira, Deborah Pareto

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Sensitivity analysis of human brain structural network construction by Kuang Wei, Matthew Cieslak, Clint Greene, Scott T. Grafton, Jean M. Carlson

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STRUCTURE OF SUNDA IN TANGERANG REGENCY AND THE TERRITORY OF USE by Agus Sulaeman

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Primary disability of children in the Astrakhan region: analysis of statistical data for 2018-2022 by A. A. Antonova, E. B. Starodubova, A. A. Svetlichkina, S. I. Stepanova, E. O. Bobyr

“…A systematic analysis of primary childhood disability and its structure in the Astrakhan region for 2018-2022 was carried out. …”
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Evaluation of chemical kinetic models for simulations of hydrogen detonations by comparison with experimental data by Vigneshwaran Sankar, Karl P. Chatelain, Deanna A. Lacoste

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Methods and Models for Estimating the Maturity of the Innovation Structure by I. A. Brusakova

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Investigation of the Blockchain Structure for Hydroxyapatite-Based Scaffolds by Chernobrovchenko V. S., Dyadyura K. О., Panda A.

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Coding structure of highway engineering information model by LIANG Cai, WANG Changhai

“…Model identification code is the key to the data integration and effective transmission of highway engineering information model from the early stage of design to project construction and operation management, so as to form structured data for integrated management and analysis. …”
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Machine-learning models for Alzheimer’s disease diagnosis using neuroimaging data: survey, reproducibility, and generalizability evaluation by Maryam Akhavan Aghdam, Serdar Bozdag, Fahad Saeed, Alzheimer’s Disease Neuroimaging Initiative

“…To better understand the landscape, we surveyed the major preprocessing, data management, traditional machine-learning (ML), and deep learning (DL) techniques used for diagnosing AD using neuroimaging data such as structural magnetic resonance imaging (sMRI), functional magnetic resonance imaging (fMRI), and positron emission tomography (PET). …”
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STRUCTURE OF RHYTHMIC GYMNASTICS TRAININGS CENTER IN BRAZIL by Kizzy Fernandes Antualpa, Roberto Rodrigues Paes

“…Finally, data discussion was done, showing similarities and differences between the training centers assessed, always approaching the discussion of the physical structure of these places, and aiming, at the end of the discussion, to focus on the usefulness of these centers for the growth and development of the sport. …”
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FINDING OF OPTIMAL SUBSET STRUCTURE IN THE KNAPSACK PROBLEM by S. V. Chebakov, L. V. Serebryanaya

“…The implementation of this algorithm allows to define the structure of the optimal subset as a union of certain elements of a Pareto layers group into which a initial data set is divided. …”
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The use of vibration characteristic to update the structure model by Pham Xuan Khang

“… Many authors studied algorithms adjusting the structure model based on modal data. This paper proposes an algorithm to detect the structure model using correlation factors between experimental and theoretical modal data in a damage library. …”
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Structure-based rational design of covalent probes by Matthew Holcomb, Manuel Llanos, Althea Hansel-Harris, Stefano Forli

“…In this review, we discuss the role of structure-based design in the discovery and optimization of covalent probes, with a special emphasis on computational methods to leverage structural data.…”
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NUMERICAL DISCRETISATION OF BUILT STRUCTURES ASSUMPTION AND REALITY by Marc Gutermann, Carsten Schröder

“…However, dealing with real problems, an appropriate numerical discretization of built structures is in many cases a difficult task, since fundamental input data concerning the actual properties of the structure, material and the mechanical boundary condition couldn’t always be met. …”
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Collective states in 230Th: band structure by A. I. Levon, G. Graw, Y. Eisermann, R. Hertenberger, N.Yu. Shirikova, A. V. Sushkov, P. G. Thirolf, H.-F. Wirth, N.V. Zamfir

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The electronic band structure of hexagonal silicon polytypes by Chizhova Anastasia, Nikolskaya Alena, Zaitseva Ekaterina, Konakov Anton

“…This work is devoted to calculations and an analysis of the electronic band structure (BS) for hexagonal (2H, 4H, 6H) and rhombohedral (9R, 15R, 21R) silicon polytypes using the empirical pseudopotential method (EPM). …”
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Semantic Structure of Process Verbs in Minangkabau Language by Raees Narhan, mulyadi

“…The information presented in this paper is based on oral interviews and written data. The primary data source is oral information from Minangkabau dialect informants. …”
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Ellipsometric Analysis of Cadmium Telluride Films’ Structure by Anna Evmenova, Volodymyr Odarych, Mykola Vuichyk, Fedir Sizov

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Selecting the Number of Clusters in Mixture Multigroup Structural Equation Modeling by Andres F. Perez Alonso, Jeroen K. Vermunt, Yves Rosseel, Kim De Roover

“…Behavioral scientists often use Multigroup Structural Equation Modeling (MG-SEM) to compare groups in terms of their latent variables (LVs) relations — also called 'structural relations’. …”
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Profitability in Linking Governance Structure and Firm Value by Dini Wahjoe Hapsari, Roy Budiharjo, Dudi Pratomo, Hanif Yazid

“…The governance structure of SOEs is distinctive, with board directors managing while the audit committee, independent commissioners, and shareholders supervise. …”
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