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  1. 41

    Modelling of polypropylene fibre-matrix composites using finite element analysis

    Published 2009-01-01
    “…Polypropylene (PP) fibre-matrix composites previously prepared and studied experimentally were modelled using finite element analysis (FEA) in this work. …”
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  2. 42

    Analysis of mathematical models for description of the fractional composition of disperse elastic fillers by Yu. A. Naumova, I. V. Gordeeva

    Published 2019-10-01
    “…In order to justify the choice of a suitable mathematical model to describe the fractional composition of the crushed vulcanizes, the adequacy of the models was assessed, the structural characteristics of the variation series, the statistical moments of distribution and the indicators of its shape were determined. …”
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  3. 43

    Harnessing dual variational autoencoders to decode microbe roles in diseases for traditional medicine discovery by Qing Ye, Yaxin Sun, Yaxin Sun, Yaxin Sun

    Published 2025-05-01
    “…However, it faces challenges such as poorly defined compositions of preparations and limited high-quality efficacy data. …”
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    Inverse mapping of properties to composition through generative modeling for designing molten salts by Julian Barra, Rajni Chahal, Shubhojit Banerjee, Massimiliano Lupo Pasini, Stephan Irle, Stephen Lam

    Published 2025-06-01
    “…A dataset of critically evaluated molten salt densities is used to train a variational autoencoder coupled with a predictive deep neural network, which then can be used to generate new molten salt compositions with desired density values. …”
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  6. 46

    A Fast Prediction Model of Supercritical Airfoils Based on Deep Operator Network and Variational Autoencoder Considering Physical Constraints by Mengxin Liu, Yunjia Yang, Chenyu Wu, Yufei Zhang

    Published 2024-12-01
    “…The variational autoencoder (VAE) model is designed to extract representative features of flow fields. …”
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    Electrical conduction model and equivalent circuit of cementitious composites containing nano additives by Yunyang Wang, Sha Liu, Liqing Zhang, Shengwei Sun, Chenggong Zhao, Yonghui Qin

    Published 2025-12-01
    “…And then, the CNTs and NCBs with dosages variation from 0.0 to 5.0 vol% effect on electrical conduction of the composites are systematically investigated. …”
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  9. 49

    Laboratory Model Test to Explore the Bearing Mechanism of Composite Foundation in the Loess Area by Longfei Xu, Weijiang Xu, Aijun Zhang, Xiaolin Weng, Gaowen Zhao, Tantan Zhu

    Published 2021-01-01
    “…Aiming at this problem, a laboratory model test of pile composite foundation in the loess area was conducted to explore the common working mechanism and variations of each bearing stage. …”
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    Annotation of genomics data using bidirectional hidden Markov models unveils variations in Pol II transcription cycle by Benedikt Zacher, Michael Lidschreiber, Patrick Cramer, Julien Gagneur, Achim Tresch

    Published 2014-12-01
    “…Abstract DNA replication, transcription and repair involve the recruitment of protein complexes that change their composition as they progress along the genome in a directed or strand‐specific manner. …”
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  12. 52

    Measurement report: The variation properties of aerosol hygroscopic growth related to chemical composition during new particle formation days in a coastal city of Southeast China by L. Li, L. Li, L. Li, M. Li, M. Li, M. Li, X. Fan, X. Fan, X. Fan, Y. Chen, Y. Chen, Y. Chen, Z. Lin, Z. Lin, Z. Lin, A. Hou, A. Hou, S. Zhang, S. Zhang, S. Zhang, R. Zheng, R. Zheng, R. Zheng, J. Chen, J. Chen, J. Chen

    Published 2025-03-01
    “…The aerosol scattering hygroscopic growth factor <span class="inline-formula"><i>f</i></span>(RH), commonly used to describe the aerosol indirectly hygroscopicity, varies greatly due to the influence of aerosol chemical composition and size. In the relatively clean atmosphere of Xiamen, NPF events occur frequently, and the variation in chemical composition during events has a substantial influence on the aerosol scattering hygroscopic growth. …”
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    Variation in nuclear genome size in a freshwater snail model system featuring a recent whole-genome duplication by Maurine Neiman, Maria Pichler, Martin Haase, Dunja K. Lamatsch

    Published 2025-06-01
    “…Conspecifics often share—or are assumed to share—nuclear genome characteristics like nucleotide composition and genome size. These fundamental aspects of the nuclear genome can themselves be the object of natural selection. …”
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  15. 55

    INTERLAMINAR STRESS ANALYSIS OF INCOMPATIBLE GENERALIZED MIXED ELEMENT MODEL FOR COMPOSITE LAMINATES WITH A HOLE by QING Guanghui, WANG Yonggang, WANG Xie

    Published 2025-07-01
    “…In order to investigate the stress concentration phenomenon and analyze the distribution characteristics of the interlaminar stress in the hole edge region of composite laminates. Based on the generalized mixed variational principle, the generalized mixed finite element model for laminated plates with various stacking modes were established. …”
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    Modeling the relationships among technological properties of sheep individual animal factors, milk composition, and minerals using generalized additive mixed models by Giorgia Stocco, Claudio Cipolat-Gotet, Andrea Summer, Francesco Tiezzi, Simone Blotta, Alessio Negro, Bianca Castiglioni, Stefano Biffani

    Published 2025-04-01
    “…This approach provided insights that would have been difficult to capture with traditional linear models. Results evidenced breed and parity-specific variations. …”
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  18. 58

    Mitogenome of the Golden Eagle (Aquila chrysaetos) in northwestern Baja California, Mexico: phylogenetic relationships and genetic variation by Francisco J. García-De León, Gorgonio Ruiz-Campos, Jesús Roberto Oyervides-Figueroa, Gonzalo De León-Girón, Carlos Alberto Flores-López, Dante Magdaleno-Moncayo, Alicia Abadía-Cardoso

    Published 2025-08-01
    “… We assembled and annotated the mitochondrial genome of golden eagles from the northwest of Baja California, Mexico, using reference and de novo strategies to analyze the synteny of mitochondrial genes, the phylogenetic relationships, and genetic variation of mitochondrial DNA. The length of the Golden Eagle mitogenome was 17,472 bp (base pairs) with a base composition of A (29.8%), C (32.5%), G (14.0%), and T (23.6%). …”
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