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Creators/Authors contains: "Mitchell, A."

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  1. ; ; ( , Polymers for Advanced Technologies)
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  2. ; ; ; ( , Scientific Reports)
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  3. ; ; ; ; ; ; ; ; ( , University of Denver Undergraduate Research Journal)
    Accepted Manuscript Full Text Available
  4. ; ; ; ; ; ; ; ; ( , University of Denver Undergraduate Research Journal)
    Standardized protocols are an essential asset for research requiring the maintenance of live organisms. Ecological studies often involve collaborations between multiple teams that are spread across locations, and these collaborations benefit from sharing successful laboratory procedures. Our research team is studying the ecology of the fall webworm moth (Hyphantria cunea, hereafter FW) in North America for >10 years, during which time we have established reliable procedures for starting and maintaining FW colonies under laboratory conditions. FW is a North American species that has been introduced to Europe and Asia where it is a major pest. Here, we present a detailedmore »review of the methods we use to find and collect FW caterpillars in the field, house and rear caterpillars in the laboratory, handle pupae, and initiate diapause for overwintering. We also describe how to end diapause the following summer, care for emerging adult moths and mate them, and tend to eggs. Lastly, we test the effectiveness of some of our protocols related to mating adult moths to determine whether fertile eggs are produced. FW is becoming a model study system for ecological and evolutionary studies related to diet breadth. As more researchers begin studying the ecology and management of FW, laboratory colonies will play an important role for these projects. Our protocols will provide guidance to inform the successful study of this important insect.« less
    Accepted Manuscript Full Text Available
  5. ; ; ; ; ( , Tech. Rep. No. COLAB2-TR-5)
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  6. ; ; ; ; ; ; ; ; ; ; et al ( , Nanophotonics)
    Abstract Microelectronic computers have encountered challenges in meeting all of today’s demands for information processing. Meeting these demands will require the development of unconventional computers employing alternative processing models and new device physics. Neural network models have come to dominate modern machine learning algorithms, and specialized electronic hardware has been developed to implement them more efficiently. A silicon photonic integration industry promises to bring manufacturing ecosystems normally reserved for microelectronics to photonics. Photonic devices have already found simple analog signal processing niches where electronics cannot provide sufficient bandwidth and reconfigurability. In order to solve more complex information processing problems, theymore »will have to adopt a processing model that generalizes and scales. Neuromorphic photonics aims to map physical models of optoelectronic systems to abstract models of neural networks. It represents a new opportunity for machine information processing on sub-nanosecond timescales, with application to mathematical programming, intelligent radio frequency signal processing, and real-time control. The strategy of neuromorphic engineering is to externalize the risk of developing computational theory alongside hardware. The strategy of remaining compatible with silicon photonics externalizes the risk of platform development. In this perspective article, we provide a rationale for a neuromorphic photonics processor, envisioning its architecture and a compiler. We also discuss how it can be interfaced with a general purpose computer, i.e. a CPU, as a coprocessor to target specific applications. This paper is intended for a wide audience and provides a roadmap for expanding research in the direction of transforming neuromorphic photonics into a viable and useful candidate for accelerating neuromorphic computing.« less
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  7. ; ; ; ; ; ; ; ( , IEEE Journal of Selected Topics in Quantum Electronics)
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  8. ; ; ; ; ; ; ; ; ; ; et al ( , Global Change Biology)
    Human activity and land use change impact every landscape on Earth, driving declines in many animal species while benefiting others. Species ecological and life history traits may predict success in human-dominated landscapes such that only species with “winning” combinations of traits will persist in disturbed environments. However, this link between species traits and successful coexistence with humans remains obscured by the complexity of anthropogenic disturbances and variability among study systems. We compiled detection data for 24 mammal species from 61 populations across North America to quantify the effects of (1) the direct presence of people and (2) the human footprintmore »(landscape modification) on mammal occurrence and activity levels. Thirty-three percent of mammal species exhibited a net negative response (i.e., reduced occurrence or activity) to increasing human presence and/or footprint across populations, whereas 58% of species were positively associated with increasing disturbance. However, apparent benefits of human presence and footprint tended to decrease or disappear at higher disturbance levels, indicative of thresholds in mammal species’ capacity to tolerate disturbance or exploit human-dominated landscapes. Species ecological and life history traits were strong predictors of their responses to human footprint, with increasing footprint favoring smaller, less carnivorous, faster-reproducing species. The positive and negative effects of human presence were distributed more randomly with respect to species trait values, with apparent winners and losers across a range of body sizes and dietary guilds. Differential responses by some species to human presence and human footprint highlight the importance of considering these two forms of human disturbance separately when estimating anthropogenic impacts on wildlife. Our approach provides insights into the complex mechanisms through which human activities shape mammal communities globally, revealing the drivers of the loss of larger predators in human-modified landscapes.« less
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  9. ; ; ; ; ; ( , Conf. on Lasers and ElectroOptics (CLEO))
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  10. ; ; ; ; ; ( , Conf. on Lasers and Electro-Optics (CLEO))
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