Showing 161 - 180 results of 25,136 for search '(( ((a large) OR (i large)) decrease ) OR ((( a latest decrease ) OR ( c large increased ))))', query time: 0.82s Refine Results
  1. 161

    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. …”
  2. 162

    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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    Source data for Fig 1C. by Isabel Raposo (21615517)

    Published 2025
    “…While traditionally conceptualized as a static continuous spotlight, contemporary models of attention highlight its discrete nature. …”
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    Unexpected Parabolic Temperature Dependency of CH<sub>4</sub> Emissions from Rice Paddies by Haoyu Qian (800177)

    Published 2022
    “…In contrast, the effects of warming on the abundance of methanotrophs were similar across the three temperature sites. We estimate that 1 °C warming will increase CH<sub>4</sub> emissions from paddies in China by 12.6%substantially higher than the estimates obtained from leading ecosystem models. …”
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