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    Designing a Model of Intangible Causes of Bankruptcy by TISM by Marzieh Mazaheri, leyla Safdarian, Mahnam Molaei

    Published 2023-08-01
    “…This study aims to design a model of intangible causes of bankruptcy of capital market companies based on modeling a Total Interpretive Structural Modelling. This research is methodologically based on the result, developmental, and data type is a mixed method. …”
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  4. 2444

    Bayesian networks for causal analysis in socioecological systems by Rafael Cabañas, Ana D. Maldonado, María Morales, Pedro A. Aguilera, Antonio Salmerón

    Published 2025-11-01
    “…Specifically, we present a case study using non-experimental data from southern Spain. For this, we propose the use of structural causal models, which are kind probabilistic models for causal analysis that simplify this kind of reasoning due to their graphical representation. …”
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  5. 2445
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    Structural barriers and facilitators to accessing postsurgical rehabilitation in adults who were treated with surgery for low back pain: protocol for a scoping review by Jessica J. Wong, Jen Rinaldi, Paulo Pereira, Silvano Mior, Lauren Ead, Alanna Veitch, Kent Murnaghan, Pierre Côté

    Published 2025-08-01
    “…However, many encounter barriers to accessing rehabilitation due to structurally generated inequities linked to socioeconomic position. …”
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  7. 2447

    Structural deformation responses in the Neoproterozoic stratum to the multiple tectogenesis around the southwestern margin of the North China Craton by Guanxu Chen, Jinhai Luo, Gennian Sun, Ming Zhao, Yinglei Chang, Zhuo Chen

    Published 2025-06-01
    “…The rocks are characterized by intense structural deformation. Based on geochronological data, this study identifies three stages of structural deformation, each occurring at different tectonic levels during distinct periods: the early stage of the Early Paleozoic, the later stage of the Early Paleozoic, and the Early-Middle Triassic. …”
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  8. 2448

    Leveraging Deep Learning for Robust Structural Damage Detection and Classification: A Transfer Learning Approach via CNN by Burak Duran, Saeed Eftekhar Azam, Masoud Sanayei

    Published 2024-12-01
    “…Different levels of damage states were introduced at the midspans of these models, and Gaussian-based load time histories were applied at mid-span for dynamic time-history analysis to calculate acceleration data. Then, this acceleration time-history series was transformed into grayscale images, serving as inputs for a Convolutional Neural Network developed to detect and classify structural damage states. …”
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    Data-driven stochastic 3D modeling of the nanoporous binder-conductive additive phase in battery cathodes by Phillip Gräfensteiner, Markus Osenberg, André Hilger, Nicole Bohn, Joachim R. Binder, Ingo Manke, Volker Schmidt, Matthias Neumann

    Published 2025-05-01
    “…Abstract A stochastic 3D modeling approach for the nanoporous binder-conductive additive phase in hierarchically structured cathodes of lithium-ion batteries is presented. …”
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  11. 2451

    T2F: a domain-agnostic multi-agent framework for unstructured text to factuality evaluation items generation by Xin Tong, Jingya Wang, Yasen Aizezi, Hanming Zhai, Bo Jin

    Published 2025-05-01
    “…The generated data effectively assess LLMs’ factuality accuracy, highlighting T2F’s capability as a scalable and domain-agnostic factuality evaluation framework.…”
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  12. 2452

    STRUCTURAL METAPHOR OF LOVE IN ENGLISH SONGS IN THE LATE 20TH CENTURY FROM STYLISTIC AND COGNITIVE PERSPECTIVES by Nguyen Thi Hong Thu

    Published 2019-08-01
    “…In this paper, the metaphorical images in the songs were classified into three different kinds, namely structural metaphors, ontological metaphor, and orientational metaphors, of which the number of structural one ranks the first. …”
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  13. 2453

    Natural Language Processing framework for identifying abdominal aortic aneurysm repairs using unstructured electronic health records by Daniel C. Thompson, Reza Mofidi

    Published 2025-07-01
    “…Abstract Patient identification for national registries often relies upon clinician recognition of cases or retrospective searches using potentially inaccurate clinical codes, leading to incomplete data capture and inefficiencies. Natural Language Processing (NLP) offers a promising solution by automating analysis of electronic health records (EHRs). …”
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  14. 2454

    Uncovering employee insights: integrative analysis using structural topic modeling and support vector machines by Kai Ding, Ruihong Li, Zeyu Li, Shangui Hu

    Published 2025-02-01
    “…Abstract Online platforms that enable employees to voluntarily share their opinions and experiences about current and former employers present a valuable data source for investigating worker satisfaction. …”
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  15. 2455

    The dynamics of sex-age structure of the population in urban and rural areas in the Republic of Kazakhstan in the years 1991-2013 by Nyussupova Gulnara, Kalimurzina Aisulu

    Published 2016-03-01
    “…In this article we discuss and analyse changes in the sex-age structure of both the urban and the rural population of the Republic of Kazakhstan since independence (1991) and until 2013. …”
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  16. 2456

    Prediction of moment improvement in UHPC strengthened damaged RC beams based on data augmented machine learning by Weidong Xu, Decheng Ji, Yong Yu, Xianying Shi

    Published 2025-12-01
    “…Strengthening of damaged reinforced concrete (RC) structures with ultra high performance concrete (UHPC) can increase their load carrying capacity and durability. …”
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    Drivers of Structural and Functional Resilience Following Extreme Fires in Boreal Forests of Northeast China by Jianyu Yao, Xiaoyang Kong, Lei Fang, Zhaohan Huo, Yanbo Peng, Zile Han, Shilong Ren, Jinyue Chen, Xinfeng Wang, Qiao Wang

    Published 2025-03-01
    “…Ongoing climate change has intensified fire disturbances in boreal forests globally, posing significant risks to forest ecosystem structure and function, with the potential to trigger major regime shifts. …”
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