1,721,064 research outputs found
Going Beyond Counting First Authors in Author Co-citation Analysis
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
Variations on the Author
“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
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
Dispelling the Myths Behind First-author Citation Counts
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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
We have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Ideological polarization, policy continuity: back to the majoritarian principle?
This introduction to the Italian Politics 2023 special issue gives an overview of the main events characterizing Italian politics during a year of large-scale policy reforms, presidential and parliamentary elections, and the unexpected Russian invasion of Ukraine. The authors pose three questions concerning Italian politics during the year gone by. First, from an institutional viewpoint, they ask whether the revival of majoritarianism as a principle of government formation represents the prelude to a return to enduring party-system bipolarity. Second, from an electoral and public policy perspective, they ask whether the formation of a government led by what many perceive as a radical right party betokens the start of a correspondingly radical shift in Italian public policy. Third, from an international relations perspective, they ask about the extent to which the Meloni government’s attitude to the Russian invasion of Ukraine, and more generally to Italy’s position on the world stage and in international affairs, is likely to differ from that adopted by Draghi. The chapter elaborates on the three questions by tracing how the events of 2022 generated much more continuity than expected
Development and validation of a new storage procedure to extend the in-use stability of azacitidine in pharmaceutical formulations
Stability studies performed by the pharmaceutical industry are principally designed to fulfill licensing requirements. Thus, post-dilution or post-reconstitution stability data are frequently limited to 24 h only for bacteriological reasons, regardless of the true physicochemical stability which could, in many cases, be longer. In practice, the pharmacy-based centralized preparation may require preparation in advance for administration, for example, on weekends, holidays, or in general when pharmacies may be closed. We report an innovative strategy for storing resuspended solutions of azacitidine, a well-known chemotherapic agent, for which the manufacturer lists maximum stability of 22 h. By placing the syringe with the azacitidine reconstituted suspension between two refrigerant gel packs and storing it at 4 °C, we found that the concentration of azacitidine remained above 98% of the initial concentration for 48 h, and no change in color nor the physicochemical properties of the suspension were observed throughout the study period. The physicochemical and microbiological properties were evaluated by HPLC–UV and UHPLC-HRMS analysis, FTIR spectroscopy, pH determination, visual and subvisual examination, and sterility assay. The HPLC-UV method used for evaluating the chemical stability of azacitidine was validated according to ICH. Precise control of storage temperature was obtained by a digital data logger. Our study indicates that by changing the storage procedure of azacitidine reconstituted suspension, the usage window of the drug can be significantly extended to a time frame that better copes with its use in the clinical environment
Improved spectrophotometric models and methods for the non-destructive and effective foodstuff parameters forecasting
In the present paper are described the results of test carried out with different calibration/prediction models in order to assess the feasibility of a visible-near-infrared sensor to monitor and forecast different parameters as firmness and soluble tannins content of persimmons fruit, lactose, dry matter and protein content of donkey milk, and Imazalil in water solution. Different types of spectra pre-processing methods (normalization, first and second derivatives) and four regression models (partial least squares, principal components regression, support vector machine, ensemble regression trees) were tested. These models were assessed by a 10-fold cross-validation with a new strategy for both outlier removal and wavelength reduction. Afterwards, their statistical significance was evaluated by 100 Monte Carlo simulation runs. The study allowed to identify the most appropriate strategy to the development of excellent regression and prediction models, defining for each parameter the most efficient model in terms of precision and predictability. The selected models could represent the core of smart, cheap, high accuracy sensors for online assessment of several food parameters, customised for the different food industry processing line requirements
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