3 resultados para holographic and volume memories

em Bucknell University Digital Commons - Pensilvania - USA


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As a reader, I am drawn to pieces that flirt with the boundaries between prose and poetry and I believe these preferences are evidenced in my own work, which not only encompasses creative nonfiction and poetry, but which also teases its way along the line separating the two. In The Atlantic and Everything After, I have worked with both prose poetry and the lyric essay, two styles that combine and highlight the different strengths of creative nonfiction and poetry.I created this work to explore the transformation I embarked upon when I first boarded that plane to Nova Scotia in August 2009. I created it to pay homage to the people and places that have moved or changed me. I created it to acknowledge the many similarities of travel and writing, both of which are often ugly, uncomfortable, a bit frightening, and terribly frustrating.In the process of its creation, I was forced to confront painful and delightful memories, to realize the significance of those memories within my own heart. I exercised the modes of poetry and nonfiction (and a few in between) in order to bring the many complicated aspects of travel together in a way that does its discomfort and enchantment equal justice. I have filled the pages of The Atlantic and Everything After with my poems and my prose, my own life-cherishing force. I am pleased to welcome you to it.

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Biodegradable polymer nanoparticles have the properties necessary to address many of the issues associated with current drug delivery techniques including targeted and controlled delivery. A novel drug delivery vehicle is proposed consisting of a poly(lactic acid) nanoparticle core, with a functionalized, mesoporous silica shell. In this study, the production of PLA nanoparticles is investigated using solvent displacement in both a batch and continuous manner, and the effects of various system parameters are examined. Using Pluronic F-127 as the stabilization agent throughout the study, PLA nanoparticles are produced through solvent displacement with diameters ranging from 200 to 250 nm using two different methods: dropwise addition and in an impinging jet mixer. The impinging jet mixer allows for easy scale-up of particle production. The concentration of surfactant and volume of quench solution is found to have minimal impact on particle diameter; however, the concentration of PLA is found to significantly impact the diameter mean and polydispersity. In addition, the stability of the PLA nanoparticles is observed to increase as residual THF is evaporated. Lastly, the isolated PLA nanoparticles are coated with a silica shell using the Stöber Process. It is found that functionalizing the silica with a phosphonic silane in the presence of excess Pluronic F-127 decreases coalescence of the particles during the coating process. Future work should be conducted to fine-tune the PLA nanoparticle synthesis process by understanding the effect of other system parameters and in synthesizing mesoporous silica shells.

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WE INVESTIGATED HOW WELL STRUCTURAL FEATURES such as note density or the relative number of changes in the melodic contour could predict success in implicit and explicit memory for unfamiliar melodies. We also analyzed which features are more likely to elicit increasingly confident judgments of "old" in a recognition memory task. An automated analysis program computed structural aspects of melodies, both independent of any context, and also with reference to the other melodies in the testset and the parent corpus of pop music. A few features predicted success in both memory tasks, which points to a shared memory component. However, motivic complexity compared to a large corpus of pop music had different effects on explicit and implicit memory. We also found that just a few features are associated with different rates of "old" judgments, whether the items were old or new. Rarer motives relative to the testset predicted hits and rarer motives relative to the corpus predicted false alarms. This data-driven analysis provides further support for both shared and separable mechanisms in implicit and explicit memory retrieval, as well as the role of distinctiveness in true and false judgments of familiarity.