2,219 research outputs found

    Encouraging Social Innovation Through Capital: Using Technology to Address Barriers

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    Outlines how technology can help foster a robust capital market for public education innovation by improving content, linking technology with face-to-face networks, and streamlining transactions. Suggests steps for government, foundations, and developers

    Florida Charter Schools: Hot and Humid with Passing Storms

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    This report examines the history of Florida's charter school initiative, results to date, and areas where the state can improve

    Increasing incidence of dementia in the oldest old: evidence and implications

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    The oldest old are the fastest growing segment of the US population but accurate estimates of the incidence of dementia in this age group have been elusive. Corrada and colleagues present data on the 5-year age-specific rates of dementia incidence in persons 90 years and older from The 90+ Study. Their findings show a continued exponential increase in dementia incidence after age 90 that mirrors the increase observed in persons aged 65 to 90, with a doubling every 5.5 years. This contrasts with previous smaller studies reporting a slowing of the increase in incidence after age 90. If confirmed, the continued increase, rather than a plateau, in the incidence of dementia in the oldest old has implications for proper healthcare planning. Strategies for prevention and treatment will require more information regarding risk factors and the etiopathogenesis of dementia in the oldest old

    How Involved Should They Be? Students with ASD in Postsecondary Settings and Their Family Members

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    We investigated the need for family member involvement for students with Autism Spectrum Disorder (ASD) in postsecondary settings. We also looked at the perceived needed and fulfilled roles of family members and if family member involvement resulted in positive outcomes for postsecondary students with ASD. We surveyed 211 postsecondary Disability Support Professionals (DSPs) through the AHEAD organization. Using a mixed methods approach including inductive content analysis, results primarily indicated that there is a need for family members to be involved non-academically with students with ASD. We discuss roles that DSPs think family members should fulfill versus roles that DSPs think that family members are actually fulfilling. It is apparent that DSPs think family member involvement is important but must be balanced with increasing the independence of students with ASD while enrolled in school

    Effects of a Distributed Computing Architecture on the Emerald Nanosatellite Development Process

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    Building satellites with greater capabilities on shorter timelines requires changes in development approach. Relative to previous satellite projects in Stanford’s Space Systems Development Laboratory (SSDL), the Emerald Nanosatellite system is highly complex. Its mission requires numerous experiments and relatively sophisticated subsystem capabilities. To develop this system on a short two-year timeline required a new development approach to simplify system integration. As a result, the Emerald development team adopted a modular distributed computing architecture. While this decision imposed many changes on Emerald’s design process, the benefits of the distributed architecture for system integration and testing justified its selection. This approach has already affected the early stages of engineering model integration, and is expected to provide flexibility throughout construction and integration of the flight hardware. In addition the distributed architecture developed for the Emerald project will provide a useful tool for future development efforts in the SSDL and the small satellite development community

    Astrolabe: Curating, Linking and Computing Astronomy's Dark Data

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    Where appropriate repositories are not available to support all relevant astronomical data products, data can fall into darkness: unseen and unavailable for future reference and re-use. Some data in this category are legacy or old data, but newer datasets are also often uncurated and could remain "dark". This paper provides a description of the design motivation and development of Astrolabe, a cyberinfrastructure project that addresses a set of community recommendations for locating and ensuring the long-term curation of dark or otherwise at-risk data and integrated computing. This paper also describes the outcomes of the series of community workshops that informed creation of Astrolabe. According to participants in these workshops, much astronomical dark data currently exist that are not curated elsewhere, as well as software that can only be executed by a few individuals and therefore becomes unusable because of changes in computing platforms. Astronomical research questions and challenges would be better addressed with integrated data and computational resources that fall outside the scope of existing observatory and space mission projects. As a solution, the design of the Astrolabe system is aimed at developing new resources for management of astronomical data. The project is based in CyVerse cyberinfrastructure technology and is a collaboration between the University of Arizona and the American Astronomical Society. Overall the project aims to support open access to research data by leveraging existing cyberinfrastructure resources and promoting scientific discovery by making potentially-useful data in a computable format broadly available to the astronomical community.Comment: Accepted for publication in the Astrophysical Journal Supplement Series, 22 pages, 2 figure

    The Astrolabe Project: Identifying and Curating Astronomical Dark Data through Development of Cyberinfrastructure Resources

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    As research datasets and analyses grow in complexity, data that could be valuable to other researchers and to support the integrity of published work remain uncurated across disciplines. These data are especially concentrated in the Long Tail of funded research, where curation resources and related expertise are often inaccessible. In the domain of astronomy, it is undisputed that uncurated dark data exist, but the scope of the problem remains uncertain. The Astrolabe Project is a collaboration between University of Arizona researchers, the CyVerse cyberinfrastructure environment, and American Astronomical Society, with a mission to identify and ingest previously-uncurated astronomical data, and to provide a robust computational environment for analysis and sharing of data, as well as services for authors wishing to deposit data associated with publications. Following expert feedback obtained through two workshops held in 2015 and 2016, Astrolabe is funded in part by National Science Foundation. The system is being actively developed within CyVerse, and Astrolabe collaborators are soliciting heterogeneous datasets and potential users for the prototype system. Astrolabe team members are currently working to characterize the properties of uncurated astronomical data, and to develop automated methods for locating potentially-useful data to be targeted for ingest into Astrolabe, while cultivating a user community for the new data management system.Comment: To be published in Proceedings of Library and Information Services in Astronomy (LISA) VIII; conference held in Strasbourg, France, June 6-9, 201

    Looking to the future to understand the past: a survey of pre-service history teachers' experiences with digital technology and content knowledge

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    Digital technologies have the potential to enable history teachers to engage student learning, meet diverse learning styles, present a diversity of perspectives, and foster historical inquiry. Pre-service teachers entering today’s Canadian faculties of education are surrounded by more technology than their predecessors. But are they equipped with requisite knowledge and strategies to integrate these technologies effectively into their classrooms? This exploratory study used a cross-sectional survey to investigate pre-service teachers’ experiences with digital technologies in relation to teaching history. By doing so it provides a context for further research into the pedagogical impacts of integrating digital technologies into history classrooms

    Meta-analysis of outcomes of patients with COVID-19 infection with versus without gastrointestinal symptoms.

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    This systematic review analyzed whether the presence or absence of gastrointestinal symptoms in patients with SARS-COV-2 infection is associated with adverse outcomes. Searching the Cochrane Center Register of Controlled Trials, we included any studies looking at patients with COVID-19 with gastrointestinal symptoms (nausea, vomiting, diarrhea, abdominal pain) compared to those with COVID-19 but without gastrointestinal manifestations as a control group. The final search yielded 186 articles, all of which were individually screened. Seven studies were identified but three were excluded: one due to lack of a control group without gastrointestinal symptoms, one reported as viral RNA in the stool, and one with only non-critically ill patients. Results of the meta-analysis showed a pooled odds ratio for mortality among those with COVID-19 and gastrointestinal symptoms of 0.91 (confidence interval 0.49-1.68) with heterogeneity of 0% and a pooled odds ratio for acute respiratory distress syndrome of 2.94 (confidence interval 1.17-7.40) with heterogeneity of 0%. In conclusion, gastrointestinal symptoms with COVID-19 are associated with a higher risk of acute respiratory distress syndrome, but do not increase the risk for mortality
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