Showing 41 - 60 results of 51,794 for search '(((( ((i large) OR (a large)) decrease ) OR ( 18 levels increased ))) OR ( c larger decrease ))', query time: 1.68s Refine Results
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    Long-term trends in inflowing chlorophyll <i>a</i> and nutrients and their relation to dissolved oxygen in a large western reservoir by Jesse Naymik (9128597)

    Published 2023
    “…Long-term trends in inflowing chlorophyll <i>a</i> and nutrients and their relation to dissolved oxygen in a large western reservoir. …”
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    Modelling of Large Protein Complexes by Patrick Bryant (11606596)

    Published 2022
    “…However, predicting protein complexes with more than a handful of chains is still unfeasible, as the accuracy rapidly decreases with the number of chains and the protein size is limited by the memory on a GPU. …”
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    Capturing the Transient Microstructure of a Physically Assembled Gel Subjected to Temperature and Large Deformation by Rosa Maria Badani Prado (11501833)

    Published 2021
    “…Here, we report the real-time change in the structure of physically assembled triblock copolymer gels that consist of 10 and 20 wt % of poly­(styrene)–poly­(isoprene)–poly­(styrene) [PS–PI–PS] triblock copolymer in mineral oil (i) during the gelation process with decreasing temperature, (ii) subjected to large oscillatory deformation, and (iii) during the stress-relaxation process after the application of a step strain. …”
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    Capturing the Transient Microstructure of a Physically Assembled Gel Subjected to Temperature and Large Deformation by Rosa Maria Badani Prado (11501833)

    Published 2021
    “…Here, we report the real-time change in the structure of physically assembled triblock copolymer gels that consist of 10 and 20 wt % of poly­(styrene)–poly­(isoprene)–poly­(styrene) [PS–PI–PS] triblock copolymer in mineral oil (i) during the gelation process with decreasing temperature, (ii) subjected to large oscillatory deformation, and (iii) during the stress-relaxation process after the application of a step strain. …”
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    Data_Sheet_1_The Proximal Drivers of Large Fires: A Pyrogeographic Study.docx by Hamish Clarke (8666307)

    Published 2020
    “…As in most fire-prone environments, the majority of annual burned area is due to a relatively small number of large fires. We train and test an Artificial Neural Network’s ability to predict spatial patterns in the probability of large fires (>1,250 ha) in forests and grasslands as a function of proxies of the four major controls on fire activity. …”
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