300 research outputs found

    Driving the Workhorse: Maineā€™s Reliance on the Nearshore Environment

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    The changing character of Maineā€™s coastal ecosystems has accelerated in full view of the users most reliant on nearshore habitats and the species they support. Adaptation and diversification facilitate continued harvest of Maineā€™s iconic ocean bounty, which supports the coastal economy despite compounding stresses from upland development, warmer and more acidic waters, and invasive species. Use intensification in the nearshore environment calls for coordinated discussions to nurture and innovate within and across habitats to preserve their longevity and sustain the people that depend on them. Recent legislative support for eelgrass and salt marsh mapping, and estuarine and marine water quality and shellfish and finfish contaminants monitoring, combined with private grants offered for coastal acidification research and climate action, provide opportunities to unify knowledge gathering along the narrow swath of Maineā€™s nearshore environment. Efforts being made by the Maine Department of Environmental Protection and environmental advocates within and outside our borders are furthering development of checks and balances on estuarine and marine nitrogen loading, devising and implementing creative solutions to allow co-existence of recreational boating and eelgrass, and facilitating restoration of nearshore habitats that buffer our shorelines, support fisheries, and temper climate change effects. Maineā€™s nearshore environment is experiencing challenges that should be met with knowledge gained from successes in more southerly latitudes. The multi-tiered wealth of Maineā€™s partnerships must be leveraged to maintain and improve nearshore habitat resilience while simultaneously respecting the outstanding resources so many of us have grown to rely upon

    Interpreting Water Quality Standards in Light of Ecosystem Change (2015 State of the Bay Presentation)

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    https://digitalcommons.usm.maine.edu/cbep-presentations/1009/thumbnail.jp

    Global Proteomic Analysis of Two Tick-Borne Emerging Zoonotic Agents: Anaplasma Phagocytophilum and Ehrlichia Chaffeensis

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    Anaplasma phagocytophilum and Ehrlichia chaffeensis are obligatory intracellular Ī±-proteobacteria that infect human leukocytes and cause potentially fatal emerging zoonoses. In the present study, we determined global protein expression profiles of these bacteria cultured in the human promyelocytic leukemia cell line, HL-60. Mass spectrometric (MS) analyses identified a total of 1,212 A. phagocytophilum and 1,021 E. chaffeensis proteins, representing 89.3 and 92.3% of the predicted bacterial proteomes, respectively. Nearly all bacterial proteins (ā‰„99%) with known functions were expressed, whereas only approximately 80% of ā€œhypotheticalā€ proteins were detected in infected human cells. Quantitative MS/MS analyses indicated that highly expressed proteins in both bacteria included chaperones, enzymes involved in biosynthesis and metabolism, and outer membrane proteins, such as A. phagocytophilum P44 and E. chaffeensis P28/OMP-1. Among 113 A. phagocytophilum p44 paralogous genes, 110 of them were expressed and 88 of them were encoded by pseudogenes. In addition, bacterial infection of HL-60 cells up-regulated the expression of human proteins involved mostly in cytoskeleton components, vesicular trafficking, cell signaling, and energy metabolism, but down-regulated some pattern recognition receptors involved in innate immunity. Our proteomics data represent a comprehensive analysis of A. phagocytophilum and E. chaffeensis proteomes, and provide a quantitative view of human host protein expression profiles regulated by bacterial infection. The availability of these proteomic data will provide new insights into biology and pathogenesis of these obligatory intracellular pathogens

    Update on a Continuing Saga: Eelgrass and Green Crabs in Casco Bay, Maine (Poster)

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    https://digitalcommons.usm.maine.edu/cbep-graphics-maps-posters/1035/thumbnail.jp

    Centennial Challenges Program Update: From Humanoids to 3D-Printing Houses on Mars, How the Public Can Advance Technologies for NASA and the Nation

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    The Centennial Challenges (CC) program, part of NASA's Space Technology Mission Directorate (STMD), was founded upon the principle that engaging the public at large was a very important part of garnering the true magnitude of grassroots American innovation and ingenuity. The program uses a focused problem-statement approach to obtain solutions and/or stimulate innovation in key NASA technology gaps by catalyzing sources outside of the traditional aerospace community. The CC program announced the first two challenge competitions in 2005 incentivizing the public to participate using a congressionally authorized prize purse. Since then, the program has developed and executed more than 18 competitions and has awarded over $9 million in prize money. The challenges have covered a variety of technology areas, including propulsion, robotics, communications and navigation, human health, science instrumentation, nanotech, materials and structures, and aerodynamics. Centennial Challenges' accomplishments from October 2016 to December 2017--including significant increases in the amount and diversity of participants; increase in prize purse awards; strong alignments with NASA missions; and partnerships with industry, academia, and other government agencies-are summarized in this paper. Technological advancements, communication strategies, and legal authority are also discussed. NASA is leading the government agencies in the area of prizes and competitions to push technologies, and the CC program is one powerful example of NASA's continuing commitment to technological advancement and innovation through non-traditional programs. Currently, the Agency has in place the proven infrastructure, policies, and people needed to enable the successful use of competition tools, including the ones used as part of the CC program

    Who Owns the Data? Open Data for Healthcare.

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    Research on large shared medical datasets and data-driven research are gaining fast momentum and provide major opportunities for improving health systems as well as individual care. Such open data can shed light on the causes of disease and effects of treatment, including adverse reactions side-effects of treatments, while also facilitating analyses tailored to an individual's characteristics, known as personalized or "stratified medicine." Developments, such as crowdsourcing, participatory surveillance, and individuals pledging to become "data donors" and the "quantified self" movement (where citizens share data through mobile device-connected technologies), have great potential to contribute to our knowledge of disease, improving diagnostics, and delivery of -healthcare and treatment. There is not only a great potential but also major concerns over privacy, confidentiality, and control of data about individuals once it is shared. Issues, such as user trust, data privacy, transparency over the control of data ownership, and the implications of data analytics for personal privacy with potentially intrusive inferences, are becoming increasingly scrutinized at national and international levels. This can be seen in the recent backlash over the proposed implementation of care.data, which enables individuals' NHS data to be linked, retained, and shared for other uses, such as research and, more controversially, with businesses for commercial exploitation. By way of contrast, through increasing popularity of social media, GPS-enabled mobile apps and tracking/wearable devices, the IT industry and MedTech giants are pursuing new projects without clear public and policy discussion about ownership and responsibility for user-generated data. In the absence of transparent regulation, this paper addresses the opportunities of Big Data in healthcare together with issues of responsibility and accountability. It also aims to pave the way for public policy to support a balanced agenda that safeguards personal information while enabling the use of data to improve public health

    Who owns the data? Open data for healthcare

    Get PDF
    Research on large shared medical datasets and data-driven research are gaining fast momentum and provide major opportunities for improving health systems as well as individual care. Such open data can shed light on the causes of disease and effects of treatment, including adverse reactions side-effects of treatments, while also facilitating analyses tailored to an individualā€™s characteristics, known as personalized or ā€œstratified medicine.ā€ Developments, such as crowdsourcing, participatory surveillance, and individuals pledging to become ā€œdata donorsā€ and the ā€œquantified selfā€ movement (where citizens share data through mobile device-connected technologies), have great potential to contribute to our knowledge of disease, improving diagnostics, and delivery of Ā­healthcare and treatment. There is not only a great potential but also major concerns over privacy, confidentiality, and control of data about individuals once it is shared. Issues, such as user trust, data privacy, transparency over the control of data ownership, and the implications of data analytics for personal privacy with potentially intrusive inferences, are becoming increasingly scrutinized at national and international levels. This can be seen in the recent backlash over the proposed implementation of care.data, which enables individualsā€™ NHS data to be linked, retained, and shared for other uses, such as research and, more controversially, with businesses for commercial exploitation. By way of contrast, through increasing popularity of social media, GPS-enabled mobile apps and tracking/wearable devices, the IT industry and MedTech giants are pursuing new projects without clear public and policy discussion about ownership and responsibility for user-generated data. In the absence of transparent regulation, this paper addresses the opportunities of Big Data in healthcare together with issues of responsibility and accountability. It also aims to pave the way for public policy to support a balanced agenda that safeguards personal information while enabling the use of data to improve public health
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