177,997 research outputs found

    Three novel F8 mutations in sporadic haemophilia A cases

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    Letter to the editorRashid Hussain, Noman Bin Abid, Sajjad Hussain, Zeeshan Shaukat, Mudassir Altaf, Sara Altaf, and Gulzar Niaz

    Appropriate Similarity Measures for Author Cocitation Analysis

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    We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis

    "Closing the R&D Gap, Evaluating the Sources of R&D Spending"

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    Both spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    Letter from R. R. Zellick, Assistant Trust Officer, Anglo California National Bank of San Francisco, to Joseph R. Goodman, October 2, 1942

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    Letter from R. R. Zellick, Assistant Trust Officer at The Anglo California National Bank of San Francisco, to Joseph R. Goodman, regarding property owned by Dave Tatsuno. Zellick mentions a dispute between current tenants and Tatsuno, and that Tatsuno has asked Goodman to help locate trustworthy tenants.Personal correspondence, organizational records, government documents, publications, and other papers created or collected by Joseph R. Goodman documenting the forced removal and incarceration of Japanese Americans during World War II, as well as organized resistance to incarceration. Included in the collection are records of the Japanese Young Men's Christian Association and the Japanese American Citizens' League in San Francisco, including papers of the Japanese YMCA's executive secretary Lincoln Kanai; Sakai family papers; Goodman's correspondence to and from Japanese American incarcerees, organizations opposing forced removal and incarceration of Japanese Americans, the War Relocation Authority, and others; publications, photographs, and ephemera from the Topaz Relocation Center, where Goodman taught high school; War Relocation Authority records and publications; and newspaper clippings, pamphlets, and reports about forced removal and incarceration created by various government, religious, and civic organizations, in California and nationwide

    Dispelling the Myths Behind First-author Citation Counts

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    We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more sophisticated methods

    Liftings for noncomplete probability spaces

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    The current state of knowledge concerning liftings for noncomplete probability spaces is discussed. This is a somewhat expanded version of the author's talk given at the 1991 Summer Conference on General Topology and Applications in Honor of Mary Ellen Rudin and Her Work.PT: S; CR: BURKE MR, IN PRESS P AM MATH S BURKE MR, 1991, ISRAEL J MATH, V73, P33 BURKE MR, 1992, ISRAEL J MATH, V79, P289 CARLSON T, THEOREM LIFTING CHRISTENSEN JPR, 1974, TOPOLOGY BOREL STRUC FREMLIN DH, 1989, HDB BOOLEAN ALGEBRAS, P877 INOESCUTULCEA A, 1966, 5TH P BERK S MATH ST, V2 IONESCUTULCEA A, 1967, CONTRIBUTIONS PROB 1, P63 IONESCUTULCEA A, 1969, TOPICS THEORY LIFTIN JECH TJ, 1978, SET THEORY JOHNSON RA, 1980, P AM MATH SOC, V80, P234 JUST W, IN PRESS T AM MATH S KUPKA J, 1983, INDIANA U MATH J, V32, P717 LOSERT V, 1983, LNM, V1080, P95 MAHARAM D, 1958, P AM MATH SOC, V9, P987 SHELAH S, 1983, ISRAEL J MATH, V45, P90 TALAGRAND M, 1982, P AM MATH SOC, V84, P379 VONNEUMANN J, 1931, CRELLES J MATH, V165, P109; NR: 18; TC: 0; J9: ANN N Y ACAD SCI; PG: 4; GA: BZ86BSource type: Electronic(1

    Hansen, Lee (Lee R.). Union, non-union, and managerial pay plan state employees, 2008-2019

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    1 online resource (2 pages)"July 1, 2021."Provides the number of union and non-union state employees in each of the last 14 years. Also provides the number of state employees paid under the state's managerial pay plan during each of those years. Updates OLR research report 2019-R-011

    XSEDE Enabling Function Use Cases, version 2.0

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    These are the “enabling functions” provided by the XSEDE system architecture. They are the common ingredients that enable XSEDE to satisfy the use cases in every other category. Each public research computing community has its own enabling use cases: some that overlap with XSEDE’s, others that are distinct characteristics of the community. The purpose of enabling functions is to provide a common set of system-wide features that can be used when satisfying other use cases. Enabling functions arise from reviewing a large set of use cases from different types of community members and identifying the common features they share. For example, most use cases—whether from High-Performance Computing, Data Management, Campus Bridging, or Science Gateways—assume there’s a community-wide “login” feature that allows individuals to register, obtain credentials, and then use those credentials to login. Rather than design a custom login feature for every use case, we instead define an enabling function and assume most, if not all, use cases will use it. XSEDE maintains descriptions of our enabling functions for several reasons. First, they support the introduction of new services from community members and partners by identifying features that must be carefully integrated in order to provide a smooth experience for XSEDE community members. Second, these descriptions allow XSEDE to consider new and better ways to provide each enabling function without unintentionally losing important features in the process. Finally, they support partnership and transition discussions by providing a basis for comparison with other systems. Each of these enabling functions, with the exception of CAN-05, was originally written as an individual document during the XSEDE-1 project between 2012 and 2015 using a more technical format and terminology. These previous versions are linked in the References section.Open Restriction set for Item 111795 on 2019-08-13T23:57:18Z with date null by [email protected] by Lee Liming ([email protected]) on 2019-08-14T00:11:51Z No. of bitstreams: 1 CAN-version-2.0.pdf: 183085 bytes, checksum: 7cf4800b6d40707314af23a07dc48c31 (MD5)Made available in DSpace on 2019-08-14T00:11:51Z (GMT). No. of bitstreams: 1 CAN-version-2.0.pdf: 183085 bytes, checksum: 7cf4800b6d40707314af23a07dc48c31 (MD5) Previous issue date: 2019-08-13National Science Foundation OCI-1053575Ope

    XSEDE Enabling Function Use Cases, version 2.0

    No full text
    These are the “enabling functions” provided by the XSEDE system architecture. They are the common ingredients that enable XSEDE to satisfy the use cases in every other category. Each public research computing community has its own enabling use cases: some that overlap with XSEDE’s, others that are distinct characteristics of the community. The purpose of enabling functions is to provide a common set of system-wide features that can be used when satisfying other use cases. Enabling functions arise from reviewing a large set of use cases from different types of community members and identifying the common features they share. For example, most use cases—whether from High-Performance Computing, Data Management, Campus Bridging, or Science Gateways—assume there’s a community-wide “login” feature that allows individuals to register, obtain credentials, and then use those credentials to login. Rather than design a custom login feature for every use case, we instead define an enabling function and assume most, if not all, use cases will use it. XSEDE maintains descriptions of our enabling functions for several reasons. First, they support the introduction of new services from community members and partners by identifying features that must be carefully integrated in order to provide a smooth experience for XSEDE community members. Second, these descriptions allow XSEDE to consider new and better ways to provide each enabling function without unintentionally losing important features in the process. Finally, they support partnership and transition discussions by providing a basis for comparison with other systems. Each of these enabling functions, with the exception of CAN-05, was originally written as an individual document during the XSEDE-1 project between 2012 and 2015 using a more technical format and terminology. These previous versions are linked in the References section.National Science Foundation OCI-1053575Ope
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