186,846 research outputs found

    Tape #13 Interview with Abram P. Regier

    No full text
    Russian-Mennonite immigrants of the 1920's, an interview with Abram P. Regier, August 24, 1976. The interview discusses: biographical information, WWI, the Tsar, relationship with Russians, VBHH, Revolution, military service, Sanitatsdienst, Selbstschutz, post-Revolution, VBHH, emigration, arrival in Canada, arrival in Alberta, church life, adjustments and learning the language, working on farms. This interview is continued to tape #14. The interviewer is Henry Paetkau. The accompanying notes are attached

    Tape #14 Interview (contd.) with Abram P. Regier

    No full text
    Russian-Mennonite immigrants of the 1920's, an interview with Abram P. Regier (contd.) from tape #13, August 24, 1976. The interview discusses: biographical information, WWI, the Tsar, relationship with Russians, VBHH, Revolution, military service, Sanitatsdienst, Selbstschutz, post-Revolution, VBHH, emigration, arrival in Canada, arrival in Alberta, church life, adjustments and learning the language, working on farms. The interviewer is Henry Paetkau. The accompanying notes are attached

    Does the Mass Balance of the Reactive Tracers Resazurin and Resorufin Close at the Microbial Scale?

    No full text
    Resazurin (Raz) is a phenoxazine dye that can be reduced irreversibly to the daughter compound resorufin (Rru) by aerobic respiration. Previous hydrologic studies using the Raz-Rru reactive tracer system to quantify water-sediment interactions and metabolic activity have reported that dilution-corrected masses of Raz and Rru recovered are smaller than the mass of Raz injected. This lack of mass balance closure has been reported as a nonideality of this tracer system and, to date, it is still unclear what drives incomplete recovery. We used controlled laboratory experiments varying the initial concentrations of Raz, the duration of the experiments, and the type of microbial communities present to quantify mass balances of Raz and Rru under conditions that removed other suspected causes of incomplete recovery in field experiments, i.e., sorption to sediments and photodecay. We used the summation of Raz and Rru concentrations over time to assess mass recovery and variability and found mass recoveries in the range of 85.6–110.4%, with a maximum standard deviation of 7.5%. In three of the four experiments, no strong temporal trend in mass recovery is present. In an experiment with Bacillus subtilis bacteria, lower recovery and evidence of a temporal trend in recovery only occurred after 13 hr past the complete transformation of Raz (i.e., beyond the duration of most field experiments). These results suggest that the lack of mass recovery in field studies is likely associated with physical or chemical mechanisms rather than biological interactions with the Raz-Rru tracer system

    Going Beyond Counting First Authors in Author Co-citation Analysis

    No full text
    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

    Appropriate Similarity Measures for Author Cocitation Analysis

    No full text
    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

    Withdrawn by Author

    No full text
    <p>Withdrawn by Author </p&gt

    Dispelling the Myths Behind First-author Citation Counts

    No full text
    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
    corecore