998 resultados para Library Grant


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In this issue...Library Grant, Century Club, Turtle Race, Theta Tau, Continental Oil, Pioneer Concrete, Track Meet, Faculty Wives, Basketball Camp, School Spirit

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Digital image

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A report of key findings of the Cloud Library project, an effort jointly designed and executed by OCLC Research, the HathiTrust, New York University's Elmer Bobst Library, and the Research Collections Access & Preservation (ReCAP) consortium, with support from the The Andrew W. Mellon Foundation. The objective of the project was to examine the feasibility of outsourcing management of low-use print books held in academic libraries to shared service providers, including large-scale print and digital repositories.

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Remote sensing airborne hyperspectral data are routinely used for applications including algorithm development for satellite sensors, environmental monitoring and atmospheric studies. Single flight lines of airborne hyperspectral data are often in the region of tens of gigabytes in size. This means that a single aircraft can collect terabytes of remotely sensed hyperspectral data during a single year. Before these data can be used for scientific analyses, they need to be radiometrically calibrated, synchronised with the aircraft's position and attitude and then geocorrected. To enable efficient processing of these large datasets the UK Airborne Research and Survey Facility has recently developed a software suite, the Airborne Processing Library (APL), for processing airborne hyperspectral data acquired from the Specim AISA Eagle and Hawk instruments. The APL toolbox allows users to radiometrically calibrate, geocorrect, reproject and resample airborne data. Each stage of the toolbox outputs data in the common Band Interleaved Lines (BILs) format, which allows its integration with other standard remote sensing software packages. APL was developed to be user-friendly and suitable for use on a workstation PC as well as for the automated processing of the facility; to this end APL can be used under both Windows and Linux environments on a single desktop machine or through a Grid engine. A graphical user interface also exists. In this paper we describe the Airborne Processing Library software, its algorithms and approach. We present example results from using APL with an AISA Eagle sensor and we assess its spatial accuracy using data from multiple flight lines collected during a campaign in 2008 together with in situ surveyed ground control points.

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Remote sensing airborne hyperspectral data are routinely used for applications including algorithm development for satellite sensors, environmental monitoring and atmospheric studies. Single flight lines of airborne hyperspectral data are often in the region of tens of gigabytes in size. This means that a single aircraft can collect terabytes of remotely sensed hyperspectral data during a single year. Before these data can be used for scientific analyses, they need to be radiometrically calibrated, synchronised with the aircraft's position and attitude and then geocorrected. To enable efficient processing of these large datasets the UK Airborne Research and Survey Facility has recently developed a software suite, the Airborne Processing Library (APL), for processing airborne hyperspectral data acquired from the Specim AISA Eagle and Hawk instruments. The APL toolbox allows users to radiometrically calibrate, geocorrect, reproject and resample airborne data. Each stage of the toolbox outputs data in the common Band Interleaved Lines (BILs) format, which allows its integration with other standard remote sensing software packages. APL was developed to be user-friendly and suitable for use on a workstation PC as well as for the automated processing of the facility; to this end APL can be used under both Windows and Linux environments on a single desktop machine or through a Grid engine. A graphical user interface also exists. In this paper we describe the Airborne Processing Library software, its algorithms and approach. We present example results from using APL with an AISA Eagle sensor and we assess its spatial accuracy using data from multiple flight lines collected during a campaign in 2008 together with in situ surveyed ground control points.

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In November 2010, nearly 110,000 people in the United States were waiting for organs for transplantation. Despite the fact that the organ donor registration rate has doubled in the last year, Texas has the lowest registration rate in the nation. Due to the need for improved registration rates in Texas, this practice-based culminating experience was to write an application for federal funding for the central Texas organ procurement organization, Texas Organ Sharing Alliance. The culminating experience has two levels of significance for public health – (1) to engage in an activity to promote organ donation registration, and (2) to provide professional experience in grant writing. ^ The process began with a literature review. The review was to identify successful intervention activities in motivating organ donation registration that could be used in intervention design for the grant application. Conclusions derived from the literature review included (1) the need to specifically encourage family discussions, (2) religious and community leaders can be leveraged to facilitate organ donation conversations in families, (3) communication content must be culturally sensitive and (4) ethnic disparities in transplantation must be acknowledged and discussed.^ Post the literature review; the experience followed a five step process of developing the grant application. The steps included securing permission to proceed, assembling a project team, creation of a project plan and timeline, writing each element of the grant application including the design of proposed intervention activities, and completion of the federal grant application. ^ After the grant application was written, an evaluation of the grant writing process was conducted. Opportunities for improvement were identified. The first opportunity was the need for better timeline management to allow for review of the application by an independent party, iterative development of the budget proposal, and development of collaborative partnerships. Another improvement opportunity was the management of conflict regarding the design of the intervention that stemmed from marketing versus evidence-based approaches. The most important improvement opportunity was the need to develop a more exhaustive evaluation plan.^ Eight supplementary files are attached to appendices: Feasibility Discussion in Appendix 1, Grant Guidance and Workshop Notes in Appendix 2, Presentation to Texas Organ Sharing Alliance in Appendix 3, Team Recruitment Presentation in Appendix 5, Grant Project Narrative in Appendix 7, Federal Application Form in Appendix 8, and Budget Workbook with Budget Narrative in Appendix 9.^

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Traditionally, libraries have provided a modest amount of information about grants and funding opportunities to researchers in need of research funding. Ten years ago, the University of Washington (UW) Health Sciences Libraries and Information Center joined in a cooperative effort with the School of Medicine to develop a complete, library-based grant and funding service for health sciences researchers called the Research Funding Service. The library provided space, access to the library collection, equipment, and electronic resources, and the School of Medicine funded staff and operations. The range of services now includes individual consultation appointments, an extensive Web site, classes on funding database searching and writing grant applications, a discussion series that frequently hosts guest speakers, a monthly newsletter with funding opportunities of interest to the six health sciences schools, extensive files on funding sources, and referral services.

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Service to the state is one of the core principles of the land-grant mission. This concept of service is also fundamental to a significant number of outreach activities in academic health sciences libraries, particularly those libraries affiliated with the public land-grant universities. The Dana Medical Library at the University of Vermont has a lengthy tradition of outreach to health care providers and health care consumers of the State of Vermont. Building on the foundation of the land-grant institution—which grew out of federal legislation introduced in the mid nineteenth century by Justin Morrill, Vermont's congressional representative—the Dana Medical Library has based its outreach activities on its dedication of service to the state in the promotion of healthy citizens through information dissemination in support of health care delivery. Reengineering library services designed to meet the specific information needs of its diverse clientele, partnering with disparate health care organizations, and relying on fees for service to expand its outreach activities, the Dana Medical Library has redefined the concept of health information outreach for the new millennium.

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In this article, we present a new framework oriented to teach Computer Vision related subjects called JavaVis. It is a computer vision library divided in three main areas: 2D package is featured for classical computer vision processing; 3D package, which includes a complete 3D geometric toolset, is used for 3D vision computing; Desktop package comprises a tool for graphic designing and testing of new algorithms. JavaVis is designed to be easy to use, both for launching and testing existing algorithms and for developing new ones.

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The semantic localization problem in robotics consists in determining the place where a robot is located by means of semantic categories. The problem is usually addressed as a supervised classification process, where input data correspond to robot perceptions while classes to semantic categories, like kitchen or corridor. In this paper we propose a framework, implemented in the PCL library, which provides a set of valuable tools to easily develop and evaluate semantic localization systems. The implementation includes the generation of 3D global descriptors following a Bag-of-Words approach. This allows the generation of fixed-dimensionality descriptors from any type of keypoint detector and feature extractor combinations. The framework has been designed, structured and implemented to be easily extended with different keypoint detectors, feature extractors as well as classification models. The proposed framework has also been used to evaluate the performance of a set of already implemented descriptors, when used as input for a specific semantic localization system. The obtained results are discussed paying special attention to the internal parameters of the BoW descriptor generation process. Moreover, we also review the combination of some keypoint detectors with different 3D descriptor generation techniques.

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Lists books donated by a Dr. Chauncy, Mr. Pemberton, Joseph Green, William W. Kitwell(?), Mr. Sec[retar]y Oliver, William Greenleaf, Moses Gill, Mr. Bradstreet, Dr. Isaac Foster, Brigadier General Royall, Nicholas Sever, M.(?) Condy, Mr. Dolbear, Rev. Mr. Harris, Mr. Browne, Stephen Greenleaf, Thomas Cushing, Mr. Orne, Mr. Agar, Mr. Marion, Mr. Fleet, Mr. Davies, Mr. Barrett, Dr. Grant, and possibly others. Entries include author, title, volume number, and occasionally format.