1,722,873 research outputs found

    Prince, Levi M.

    No full text
    Carte de Visite of Levi M. Prince, 30th Maine Infantry; From the Janet & Bedford Hayes Collectionhttps://digitalmaine.com/arc_civilwarportraits/3330/thumbnail.jp

    Prince, Levi M.

    No full text
    Carte de Visite of Levi M. Prince, 30th Maine Infantry; From the Janet & Bedford Hayes Collectionhttps://digitalmaine.com/arc_civilwarportraits/3330/thumbnail.jp

    Qualitative dynamics of planar chains

    No full text
    Laederich, Stephane; Levi, M.. (1990). Qualitative dynamics of planar chains. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/5124

    The marriage record of Duckworth, Levi M. and Moses, Dicia J

    No full text
    Marriage license for Levi M. Duckworth and Dicia J. Moses. Thomas A. Carruth was the officiant

    Catalogue of the Levi M. Stewart Collection at Corinna, Maine

    Full text link
    Printed catalog of books owned by Levi M. Stewart. Mr. Stewart was a prominent resident of Minneapolis, MN in the 19th century. He left his personal library to his home town of Corinna, Maine. The collection remains there in the Stewart Free Library

    Hardy–Littlewood fractional maximal operators on homogeneous trees

    Full text link
    We study the mapping properties of the Hardy–Littlewood fractional maximal operator between Lorentz spaces of the homogeneous tree and discuss the optimality of all the results

    Equilibrium measures on trees

    Full text link
    We give a characterization of equilibrium measures for p-capacities on the boundary of an infinite tree of arbitrary (finite) local degree. For p= 2 , this provides, in the special case of trees, a converse to a theorem of Benjamini and Schramm, which interpretes the equilibrium measure of a planar graph’s boundary in terms of square tilings of cylinders

    Going Beyond Counting First Authors in Author Co-citation Analysis

    Full text link
    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
    corecore