182,791 research outputs found

    Mr. Chew with the Australian Minister for External Affairs, Mr. R. G. Casey, in Canberra [picture] /

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    Title from inscription on reverse.; Condition: Good.; Inscriptions: "Singapore Minister speaks of close ties with Australia ... Mr. Chew with the Australian Minister for External Affairs, Mr. R. G. Casey, in Canberra. Australian News and Information Bureau photograph by R. Reeves ... A476/2" --Printed on reverse. "Australian News and Information Bureau, please acknowledge" --Stamped on reverse

    Chew, W.P.-Ranch P.1

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    Unoccupied quarters on the W. R. Chew Ranch on Pool Creek. Homesteaded by Harry Chew and patented May 24, 1930. Photo by: Harry B. Robinson, 1953. Gift of: Dinosaur National Monument Park Service

    Jack and Mary Chew

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    John Hoyle (1852-1954) and Mary E. Chew (1863-1950) lived in Jensen, Utah according to the 1920 Census. They were married on July 19, 1881. They lived on a farm. John was from England. He had the nicknam of Jack Chew. They had six children at this time who were Reine, William R, Ralph, Douglas, Pheobe E and Burton A

    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

    Effects of the mutation R62A on the CheW structure.

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    <p>A) Superposition of 1H-15N HSQC spectra of Wild-type CheW (black) and the mutant CheW R62A (red). B) The chemical shift perturbation between wild-type and R62A CheW color-mapped onto the CheW structure (PDB code 2HO9). The red color indicates larger chemical shift difference and blue color showed smaller differences. The mutation site R62 is shown in green.</p

    Effects of the mutation R62A on the global and local backbone dynamics of CheW.

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    <p>Backbone amide <sup>15</sup>N relaxation parameters for CheW vs. residue number are shown. The black squares represent wild-type CheW, the red circles represent R62A mutant, and the green triangles represent the difference between these two constructs. Approximate location of secondary structural elements is shown at the top: (a) the longitudinal relaxation rate R<sub>1</sub>; (b) the transverse relaxation rate R<sub>2</sub>; (c) <sup>1</sup>H-<sup>15</sup>N NOE; (d) the extracted order parameter S<sup>2</sup> (e) the differences phenomenological transverse relaxation rate constant ΔR<sub>ex</sub> = R<sub>ex</sub>(20 ms)−R<sub>ex</sub>(1 ms); (f) the differences between the ΔR<sub>ex</sub> in (e) ΔR<sub>ex</sub>(R62A)−ΔR<sub>ex</sub>(WT).</p

    "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.

    Service bundling opportunities for a 3PL in the value network

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    Thesis (S.M.M.O.T.)--Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program, 2003.This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Originally written by two authors for two different degrees: Massachusetts Institute of Technology, Sloan School of Management, Management of Technology Program (Mr. Chew); and, Massachusetts Institute of Technology, Engineering Systems Division, Technology and Policy Program (Mr. de Graeve). Mr. Chew graduated June 2003; Mr. de Graeve did not graduate until June 2004, and submitted the following thesis with title: Framework for the study of governance in the supply networksIncludes bibliographical references (leaves 96-99).The 3PL industry is currently experiencing rapid growth, high fragmentation and intense competition. In order to survive and stay relevant going forward 3PLs need to re-assess their current position in the value network and develop a clear strategy to position themselves as strategic business partners for the long term. This thesis first explores the supply chain challenges and needs of the major stakeholders in the value network. It then tries to create a roadmap identifying the major opportunities which 3PLs should optimize in order to become true value-added service providers and long term strategic business partners in the value network.by Chee Mun Chew & Denis de Graeve.S.M.M.O.T

    Highly conserved residues in CheW.

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    <p>Mapping of conserved residues on a topology diagram (A) and the three-dimensional structure (B) of <i>E. coli</i> CheW.</p

    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
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