49 research outputs found

    Minnesota Food Network Landscape

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    Food networks are a growing trend in Minnesota and across the country. Food networks are a collaborative body consisting of food advocates in a region, which gather to generate collective impact around policy, systems, and environmental approaches related to food, agriculture, health, economy, and/or the environment. Food networks range in size, capacity, governance, and operational structure. In the summer of 2014, interviews were conducted with leaders of 18 food networks across the state to assess the current landscape of food networks in Minnesota. The northern half of the state along with the metro area has at least one, and up to three, food networks in each county, whereas, the central and southern half of the state have minimal food network representation. Food networks are diverse; however, a structural theme for the networks is to have a small governing body, a quarterly network meeting with 20-50 participants, and task forces that meet to address issues/projects such as marketing and outreach, food access, food infrastructure, urban agriculture, education, and food literacy. Membership in food networks is multi-sectorial and can be voluntary, application-based, or appointed positions. The preliminary project for most food networks is to conduct a community needs assessments, followed by policy recommendations related to improving food access for local jurisdictions. Many food networks in Minnesota are also responsible for implementing EBT-eligible farmers markets. Challenges faced by food networks include a lack of time, unclear governance and member accountability, as well as difficulty in navigating multiple jurisdictions within a region

    Determining crystal structures through crowdsourcing and coursework

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    We show here that computer game players can build high-quality crystal structures. Introduction of a new feature into the computer game Foldit allows players to build and real-space refine structures into electron density maps. To assess the usefulness of this feature, we held a crystallographic model-building competition between trained crystallographers, undergraduate students, Foldit players and automatic model-building algorithms. After removal of disordered residues, a team of Foldit players achieved the most accurate structure. Analysing the target protein of the competition, YPL067C, uncovered a new family of histidine triad proteins apparently involved in the prevention of amyloid toxicity. From this study, we conclude that crystallographers can utilize crowdsourcing to interpret electron density information and to produce structure solutions of the highest quality

    Measurement of the charge asymmetry in top-quark pair production in the lepton-plus-jets final state in pp collision data at s=8TeV\sqrt{s}=8\,\mathrm TeV{} with the ATLAS detector

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    ATLAS Run 1 searches for direct pair production of third-generation squarks at the Large Hadron Collider

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