PI: Chapkis, Wendy (Women and Gender Studies and Sociology, University of Southern Maine) Sector: Northeast Humanities, New Media Partners: All Art Media Abstract: The purpose of this project, “Querying the Past: Maine LGBTQ History,” is to preserve and make available the often-hidden history of LGBTQ Maine. The project involves the use of a variety of media including digital applications. […]
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PI: Beal, Brian (Marine Sciences, UMaine Machias) Sector: Aquaculture Partners: Downeast Institute, Darling Marine Center Abstract: Thanks to funding over the past two years from the Maine Technology Foundation and Maine Aquaculture Innovation Center, razor clams, Ensis leei, have become a new culture candidate in Maine. Work at UMM’s Marine Science Field Station at the Downeast Institute (DEI) has […]
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PI: King, Benjamin (Molecular and Biomedical Sciences, UMaine) Sector: Healthcare, Genomics Partners: UMaine Abstract: Muscular dystrophy is a large group of debilitative diseases that result in weakened skeletal muscle and affect approximately 250,000 individuals in the US. Our interdisciplinary research collaborative seeks to discover the molecular mechanisms dysregulated in one form of muscular dystrophy by applying developmental biology, genomics […]
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PI: Roth, Amber (Forest Resources, UMaine) Sector: Ecology, Forestry Partners: UMaine Presque Isle, UMaine Fort Kent, Irving, Department of Inland Fisheries and Wildlife Abstract: The Rusty Blackbird is a species of special concern in Maine and is globally threatened, having declined by more than 85% since the 1970s. Rusty Blackbirds nest in stunted or regenerating spruce-fir (softwood) stands in […]
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PI: Nelson, Sarah (Forest Resources, UMaine) Sector: Marine Science Partners: US Geological Survey, National Park Service Abstract: Mercury (Hg) is a globally distributed contaminant that biomagnifies through food webs and is highly toxic to fish, wildlife, and people, leading to fish consumption advisories in every US state. As a result of its widespread distribution, Hg is a serious concern […]
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PI: Nelson, Peter (Biological and Environmental Sciences, UMaine) Sector: Forestry, Information Technology Partners: UMaine Abstract: Our goal is to integrate ground-based spectral scanning/chemical analysis and data mining of hyperspectral images into a pipeline for detection of specific, user-generated targets (e.g. specific plants, pathogens, stress signals, etc..) for Maine’s economically important natural resource sectors and elsewhere for competitive research applications. […]
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PI: Nayak, Balunkeswar (Food and Agriculture, UMaine) Sector: Forestry, Advanced Materials Partners: US Forest Service, Twin Rivers Paper Abstract: This application proposes funding request for research-based training of a RRF supported Doctoral student at UMaine. The student will continue engage in research and training in cross-disciplinary areas including food process engineering, cellulose nanocomposites and polymer science. The research component […]
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PI: Hejrati, Babak (Mechanical Engineering, UMaine) Sector: Biotechnology, Aging Partners: Eastern Maine Medical Center Abstract: One of the major hand functions necessary for performing activities of daily living (ADL) and having independence in life is object manipulation, which is defined as the ability to grasp, lift, and release an object. The ability to grasp and release can deteriorate due […]
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PI: Hayes, Daniel (Forest Resources, UMaine) Sector: Forestry, Computer Science Partners: UMaine Fort Kent Abstract: Maine’s economy depends heavily on its forest resource base: it accounts for over 6% of the total GDP and has an estimated total annual economic impact of $8-10 billion. The sound, scientifically-based management of the forest resource requires a significant investment in inventory programs. […]
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PI: Gardner, Allison (Biology and Ecology, UMaine) Sector: Ecology, Climate Change Partners: UMaine Abstract: The goal of our project is to investigate causal ecological and physiological mechanisms by which climate may alter human risk of exposure to tick-borne disease in Maine, and integrate these data with climate change projections for the State of Maine to develop predictive tick-borne disease […]
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