1,721,387 research outputs found
Jacob Thomas, C. F. Anderson, F. G. Bartlett
Full text linkJacob Thomas, C. F. Anderson, and F. G. Bartlett are shown looking over a model of a ship used in teaching some of the courses in ship building at MSU.https://scholarsjunction.msstate.edu/ua-photo-collection/6219/thumbnail.jp
John Jacob Thomas returning from the Mexican American War
No full textPhotograph shows a pen and ink drawing depicting John Jacob Thomas in military uniform returning home from the Mexican War in 1848. His wife and young son are greeting him
Indenture between Jacob Thomas Nottle and George Steel
No full textIndenture of assignment of mortgage between Jacob Thomas Nottle, land agent of Hamilton and George Steel of the Village of Romoka in the County of Middlesex regarding a parcel of land in the village of Romoka composed of Lot no. 17 in Block U. Robert Telfer granted to Ira Spalding these lands and premises subject to payment of principal money and interest (2 copies), June 18, 1874
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe 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
An investigation of Diatom physiology and its effect on silicon trapping using biogeochemical models
No full textSilicon (Si) distribution in the world’s oceans is biologically controlled by silica-shelled phytoplankton called diatoms, which contribute 20% of global primary productivity. Diatoms decouple Si from other macronutrients that are upwelled in the Southern Ocean (SO), trapping Si and limiting the growth of siliceous algae elsewhere. This is caused by high diatom Si:N uptake ratios under Fe deficiency in combination with low attenuation through the water column and deep circulation back to the SO. The way diatom physiology is parameterised in biogeochemical models can lead to contrary responses to Fe fertilisation that occurred in past glaciations. It is important to understand the effect of diatom physiology on Si trapping to ensure models can address past climates and future changing oceans. This study firstly investigates the core mechanisms of SO Si trapping by using a simple 3-box model to represent the overturning circulation between the deep ocean SO and subtropical ocean. The model reproduced expected nutrient concentrations for P, Fe and Si as well as distributions of diatoms and non-diatoms. However, the addition of an Fe-dependent or Fe and Si-dependent diatom Si:N ratio led to near complete Si trapping and sensitivity testing showed that parameters and initial conditions required dramatic alteration to allow Si to escape to the subtropics. A simulation of Fe fertilisation produced no increase in Si leakage as the decrease in Si:N was overtaken by the growth of diatom productivity. In the second part of this study, two models with different representations of diatom physiology were tested against the observations of a series of SO nutrient addition experiments. A quota model which allowed for luxury uptake of Si and emergent Si:N stoichiometry outperformed a simple model using direct parameterisations of Si:N. The winning model was adapted to include an additional Chl state variable and then optimised using a genetic algorithm to fit the parameters. The algorithm was able to dramatically reduce the deviation between the model and the experiments. However, a sensitivity test that performed 120 optimisations found that many parameters were unconstrained by the data. This led to the adoption of a hybrid approach where only well-constrained parameters were fitted by the algorithm. The hybrid approach resulted in only a small reduction in the fit of the model to the observations while hopefully avoiding overtuning and retaining a higher performance at broader scales. When used to fit the initial proportion of diatoms in the model, the algorithm correlated with the results of pigment data implying the importance of community structure in addition to Fe and Si concentrations. Overall, this study suggests that raised Si:N ratios in SO diatoms can drastically reduce Si leakage even in the presence of Fe fertilisation and also presents a quota model approach to simulating diatom physiology, tuned to a powerful set of observations, which can be applied to other model frameworks
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
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