Showing 81 - 100 results of 125,089 for search '(((( ct largest decrease ) OR ( 1 levels increased ))) OR ( ((a large) OR (i large)) decrease ))', query time: 3.44s Refine Results
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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. …”
  11. 91

    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. …”
  12. 92

    Decreased <i>Bgl-</i>FaNaC expression in the left parietal ganglion following <i>S</i>. <i>mansoni</i> infection. by Laura C. Vicente-Rodríguez (16437803)

    Published 2023
    “…<p><b>a-c:</b> Decreased <i>Bgl</i>-FaNaC hybridization on the dorsal surface of the left parietal ganglion in infected specimens. …”
  13. 93

    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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