1,959 research outputs found

    Physiological Research on Adventitious Shoot Development in Aspen

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    Physiological and environmental factors controlling vegetative regeneration of aspen

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    Vegetative propagation of Rocky Mountain aspen

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    Root suckering in young aspen, girdled, defoliated, and decapitated at various seasons

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    Effect of cold storage on development of suckers on aspen root cuttings

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    Variation among healthy and deteriorating aspen clones

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    In the digital age, physical learning materials still have their own space in education.

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    Swinburne University of Technology (SUT) has a large student cohort undertaking anatomy and physiology as part of their core curriculum. Large student cohorts (> 300) impact on the quality and amount of feedback students receive. Teaching and learning materials for students are generally necessary as part of the learning process, and also assist the instructor. This study evaluated whether the introduction of a student laboratory manual enhances student learning and the feedback they receive in the unit of Anatomy and Physiology. It also evaluated the addition of a teaching guide in the teaching experience of tutors in the unit. Anonymous online student and tutor surveys were conducted. Questions regarding the content, presentation and educational value were included in the survey. Students overwhelmingly responded positively to the student laboratory manual. They also believed the amount and quality of feedback received during the unit from their tutor was beneficial to their learning. Students also reported that having a hard copy of their laboratory manual enhanced their learning experience. Therefore, in conclusion the student laboratory manual is a positive introduction into the curriculum of anatomy and physiology. It also identifies potential areas of improvement for the anatomy and physiology curriculum

    Vegetative regeneration in Aspen: Ecology and Management in the Western United States

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    Rooting stem cuttings from aspen seedlings

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    Effect of reaction conditions on the distribution of hydroxyl functional groups in HEA- BMA copolymer

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    Non-functional monomer feedstocks containing alkyl meth(acrylate) components such as butyl acrylate (BA) and butyl methacrylate (BMA) have been replaced or augmented with functional monomers such as 2-hydroxyethyl methacrylate (HEMA) and 2-hydroxyethyl acrylate (HEA) to produce reactive polymer chains of lowered molecular weight (MW) for application in solvent-borne automotive coatings. The polar and functional reactants affects the radical copolymerization kinetics and introduces solvent dependencies.[1] A series of BMA/HEA experiments have been performed at 138 °C to determine the influence of these changing kinetic parameters under starved-feed semi-batch operating conditions. A comparison with BMA/BA copolymerization shows that the influence of hydrogen bonding is small, with the semi-batch system well controlled to HEA contents of up to 50 wt%. Thus, the experiments are well represented by a comprehensive generalized copolymerization model formulated in PREDICI® that considers relevant methacrylate and acrylate side-reactions and uses the chain growth parameters measured in previous kinetic investigations.[2] As well as controlling overall copolymer composition, understanding the distribution of the hydroxyl functional groups among the polymer chains is of importance, as non-functionalized lower-MW chains will not crosslink into the polymer network formed upon application of the coating. A series of BMA/HEA copolymers containing 6.25, 12.5 and 25 wt% HEA were synthesized with weight-average polymer MWs varied between 3000-10000 Da through manipulation of reaction temperature (138 and 160 °C) and initiator loading (2 to 4 mol% relative to monomer) during starved-feed semi-batch operation; at the higher temperature the influence of BMA depropagation becomes more apparent. The amount of non-functional material in the samples is experimentally determined by solvent extraction after forming a crosslinked film, and MWs and HEA contents of the extractable fractions are measured. These experimental results will be compared with predictions from the PREDICI® model as well as a kinetic Monte Carlo representation that calculates how the reactive groups are distributed as a function of polymer chain-length. [1] J. E. S. Schier, R. A. Hutchinson, “The influence of hydrogen bonding on radical chain-growth parameters for butyl methacrylate/2-hydroxyethyl acrylate solution copolymerization”, Polym. Chem. 2016, 7, 4567-4574. [2] J. E. S. Schier, M. Zhang, M. C. Grady, R. A. Hutchinson, “Modeling of Semi-batch Solution Radical Copolymerization of Butyl Methacrylate and 2-Hydroxyethyl Acrylate”, Macromol. React. Eng.. 2018, submitted
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