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  • Turbulent flow-based habitat complexity metrics around instream boulders in support of river restoration

    Turbulent flow-based habitat complexity metrics around instream boulders in support of river restoration

    Spatial variations of turbulent-based habitat complexity metrics

    The experimental results are presented in terms of turbulent flow-based habitat complexity metrics, including turbulent kinetic energy (M5), turbulent energy dissipation rate (M6),…

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  • Design and optimization of an innovative lining structure for high-pressure water transmission tunnels subjected to strike-slip fault creep

    Design and optimization of an innovative lining structure for high-pressure water transmission tunnels subjected to strike-slip fault creep

    The analysis presented in this section was based on the previous numerical modeling approach and structural arrangement. The effects of factors on the internal force response and fracture resistance of the tunnel structure were analyzed. These…

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  • A novel network lifetime maximization technique in WSN using energy efficient algorithms

    A novel network lifetime maximization technique in WSN using energy efficient algorithms

    The number of nodes in a fully connected network is S = 4, 5, 6, 7, 8, 10, 15, 20. In S = 7, there are 326 non-looping routes, while in S = 10, there are 109,601 non-looping routes. Although the number of connections in a fully…

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  • Green and sustainable synthesis of MWCNT@g-C₃N₄@Ag photocatalyst from PET for efficient wastewater treatment

    Green and sustainable synthesis of MWCNT@g-C₃N₄@Ag photocatalyst from PET for efficient wastewater treatment

  • Chan, K. & Zinchenko, A. Conversion of waste bottles’ PET to a hydrogel adsorbent via PET aminolysis. J. Environ. Chem. Eng. 9, 106129 (2021).

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  • Le, D. K. et al….

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  • Data-driven total organic carbon prediction using feature selection methods incorporated in an automated machine learning framework

    Data-driven total organic carbon prediction using feature selection methods incorporated in an automated machine learning framework

    Figure 5 shows the computational framework for the proposed approach. The first process consists of cleaning the data (Data Cleanup), which aims to ensure the quality of the data set for carrying out the subsequent steps. With the completion of…

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  • Digital twin-driven strategic demolition plan for circular asset management of bridge infrastructures

    Digital twin-driven strategic demolition plan for circular asset management of bridge infrastructures

    Digital twin (DT) & Building information modelling (BIM)

    According to a review6, Digital Twin (DT) is a term that does not have a specific and unique definition, from literature it can be seen that the concept originated in an aerospace field but…

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  • How individual variation shapes ecological niches in two Pipistrellus bat species

    How individual variation shapes ecological niches in two Pipistrellus bat species

  • Chesson, P. General theory of competitive coexistence in spatially-varying environments. Theor. Popul. Biol. 58, 211–237 (2000).

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  • Périquet, S., Fritz, H. & Revilla, E….

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  • Independent origins and non-parallel selection signatures of triclabendazole resistance in Fasciola hepatica

    Independent origins and non-parallel selection signatures of triclabendazole resistance in Fasciola hepatica

  • Furst, T., Duthaler, U., Sripa, B., Utzinger, J. & Keiser, J. Trematode infections: liver and lung flukes. Infect. Dis. Clin. North Am. 26, 399–419 (2012).

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  • Caravedo, M. A. &…

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  • In vitro enzymatic and cell culture assays for SARS-CoV-2 main protease interaction with ambenonium

    In vitro enzymatic and cell culture assays for SARS-CoV-2 main protease interaction with ambenonium

    Ambenonium effect on 3CLpro

    Enzymes have long been recognized as excellent drug targets. Almost half of all clinically used oral drugs target an enzyme39, and many drugs in big pharma companies’ portfolios target an…

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