1,965 research outputs found

    Working for Walpole: Restorative Spaces in the Progressive Era

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    In early twentieth century America, industrialization reshaped the physical environments Americans occupied, the ways they conceived of them, and the ways they believed they could use them. The corresponding urbanization leading up to and throughout the Progressive Era meant that growing communities would have to adapt to new social, economic, and political circumstances. Other historians have discussed these changes within American society extensively, but have spent much less time elaborating on how progressive reformers utilized designed spaces to respond to them. During this period, city planners and community leaders alike sought to access the design and implementation of “restorative” spaces to mitigate concerns stemming from the changes brought by industrialization. These spaces could be widened streets, town forests, parks, or other civic improvements that specifically addressed one or more perceived problems facing an industrialized society. The projects planned and produced by Charles S. Bird Jr. and city planner John Nolen in the small town of Walpole, Massachusetts exemplify the application of restorative spaces. Specifically, through an examination of the plans for the 1914 Neponset Garden Village, the 1916 establishment of the Walpole Town Forest, and the 1925 creation of Francis William Park, this paper investigates the rationale behind these spatial reforms. These carefully and pragmatically planned spaces would come to embody the optimism, community emphasis, and the social and political anxieties of Progressive Era reforms

    In-flight determination of spacecraft magnetic bias independent of attitude

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    A simple algorithm for the in-flight determination of the magnetic bias of a spacecraft is presented. The algorithm, developed for use during the Hubble Space Telescope mission, determines this bias independently of any attitude estimates and requires no spacecraft sensor data other than that from the spacecraft magnetometer(s). Estimates of the algorithm's accuracy and results from a number of numerical studies on the use of this algorithm are also presented

    Flexible high-voltage supply for experimental electron microscope

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    Scanning microscope uses a field-emission tip for the electron source, an electron gun that simultaneously accelerates and focuses electrons from the source, and one auxiliary lens to produce a final probe size at the specimen on the order of angstroms

    Towards case-based medical learning in radiological decision making using content-based image retrieval

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    <p>Abstract</p> <p>Background</p> <p>Radiologists' training is based on intensive practice and can be improved with the use of diagnostic training systems. However, existing systems typically require laboriously prepared training cases and lack integration into the clinical environment with a proper learning scenario. Consequently, diagnostic training systems advancing decision-making skills are not well established in radiological education.</p> <p>Methods</p> <p>We investigated didactic concepts and appraised methods appropriate to the radiology domain, as follows: (i) Adult learning theories stress the importance of work-related practice gained in a team of problem-solvers; (ii) Case-based reasoning (CBR) parallels the human problem-solving process; (iii) Content-based image retrieval (CBIR) can be useful for computer-aided diagnosis (CAD). To overcome the known drawbacks of existing learning systems, we developed the concept of image-based case retrieval for radiological education (IBCR-RE). The IBCR-RE diagnostic training is embedded into a didactic framework based on the Seven Jump approach, which is well established in problem-based learning (PBL). In order to provide a learning environment that is as similar as possible to radiological practice, we have analysed the radiological workflow and environment.</p> <p>Results</p> <p>We mapped the IBCR-RE diagnostic training approach into the Image Retrieval in Medical Applications (IRMA) framework, resulting in the proposed concept of the IRMAdiag training application. IRMAdiag makes use of the modular structure of IRMA and comprises (i) the IRMA core, i.e., the IRMA CBIR engine; and (ii) the IRMAcon viewer. We propose embedding IRMAdiag into hospital information technology (IT) infrastructure using the standard protocols Digital Imaging and Communications in Medicine (DICOM) and Health Level Seven (HL7). Furthermore, we present a case description and a scheme of planned evaluations to comprehensively assess the system.</p> <p>Conclusions</p> <p>The IBCR-RE paradigm incorporates a novel combination of essential aspects of diagnostic learning in radiology: (i) Provision of work-relevant experiences in a training environment integrated into the radiologist's working context; (ii) Up-to-date training cases that do not require cumbersome preparation because they are provided by routinely generated electronic medical records; (iii) Support of the way adults learn while remaining suitable for the patient- and problem-oriented nature of medicine. Future work will address unanswered questions to complete the implementation of the IRMAdiag trainer.</p
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