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  2. 102

    Resolving structural variability in network models and the brain. by Florian Klimm, Danielle S Bassett, Jean M Carlson, Peter J Mucha

    Published 2014-03-01
    “…Together, the network models that we develop and employ provide a potentially useful starting point for the statistical inference of brain network structure from neuroimaging data.…”
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    Article
  3. 103

    The use of vibration characteristic to update the structure model by Pham Xuan Khang

    Published 2000-12-01
    “… 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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    Article
  4. 104

    Realistic Models of Financial Market and Structural Stability by Sergey N. Smirnov

    Published 2021-01-01
    “…The main aim of this article is to show the role of structural stability in financial modelling; that is, a specific “no-arbitrage” property is unaffected by small perturbations of the model’s dynamics. …”
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  5. 105
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    Multilinear Model of Heat Exchanger with Hammerstein Structure by Dragan Pršić, Novak Nedić, Vojislav Filipović, Ljubiša Dubonjić, Aleksandar Vičovac

    Published 2016-01-01
    “…The nonlinear model is assumed to have a Hammerstein structure. …”
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    Article
  7. 107
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    Ancestor regression in structural vector autoregressive models by Schultheiss Christoph, Ulmer Markus, Bühlmann Peter

    Published 2025-07-01
    “…We present a new method for causal discovery in linear structural vector autoregressive models. We adapt an idea designed for independent observations to the case of time series while retaining its favorable properties, i.e., explicit error control for false causal discovery, at least asymptotically. …”
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    MILLENNIAL FINANCIAL ATTRIBUTES: STRUCTURAL MODELLING APPROACH by Lukmanul Hakim, Ridha Syafitri

    Published 2022-12-01
    “…The data analysis technique used is Structural Equation Modeling (SEM). The results of this study show that financial literacy on electronic financial transaction decisions, financial management behavior towards consumptive behavior, financial attitude towards electronic financial transaction decisions and electronic financial transaction decisions towards consumptive behavior have a significant effect. …”
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  13. 113

    Structural Credit Risk Models with Subordinated Processes by Martin Gurny, Sergio Ortobelli Lozza, Rosella Giacometti

    Published 2013-01-01
    “…We discuss structural models based on Merton's framework. First, we observe that the classical assumptions of the Merton model are generally rejected. …”
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  14. 114

    Recreation of architectural structures using procedural modeling based on volumes by Santiago Barroso Juan, Gustavo Patow

    Published 2013-11-01
    “…While the procedural modeling of buildings and other architectural structures has evolved very significantly in recent years, there is noticeable absence of high-level tools that allow a designer, an artist or an historian, creating important buildings or architectonic structures in a particular city. …”
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    MODELING THE EVOLUTION OF WHIRL STRUCTURES IN A SUPERSONIC GAS STREAM by I. G. Lebo, A. I. Simakov

    Published 2018-10-01
    “…With the help of mathematical modeling methods we studied the evolution of whirl structures moving in a gas behind a shock wave front. …”
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    Article
  17. 117
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    CFD modeling of movement of geobag for riverbank erosion control structures by Saman Shabani, Yuntong She, Carlos Frederico Lange

    Published 2025-08-01
    “…The erosion of riverbanks led to significant environmental and infrastructure challenges, leading to soil loss, structural damage, and flooding. Since the 1970s, erosion control structures such as geobags have been widely utilized to protect riverbanks. …”
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    Controllable design and modeling of gradient porous structures by phase field theory by Hangming Shen, Xingzhe Zhao, Lihong Yang, Jiantao Yang

    Published 2024-09-01
    “…Subsequently, the phase field parameters of model are determined and combined with the temperature field, thereby enabling a targeted and controlled fabrication of gradient porous structures. …”
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    Article