1,721,124 research outputs found

    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

    Variations on the Author

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    “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

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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

    Dispelling the Myths Behind First-author Citation Counts

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    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

    Author Index

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    Real Time Data Processing with Strimzi Project

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    Kontajnerové technológie sa v modernej dobe široko využívajú. Vo väčšine prevládajú aplikácie vytvorené na architektúre mikro služieb. Táto práca analyzuje návrh aplikácie, ktorá bude spracovávať údaje v reálnom čase. Aplikácia bude ďalej budovaná pomocou najmodernejších technológií používaných svetovými spoločnosťami ako Netflix, Uber. Používajú tieto systémy na spracovanie údajov v reálnom čase, ako je Apache Kafka, a v poslednom čase ich zavádzajú na vyššiu úroveň zapuzdrením tohto systému do kontajnerového prostredia, čo zaručuje ľahkú škálovateľnosť. Okrem toho využívaju najnovšie natívne technológie Kubernetes na spracovanie mnoho údajov pomocou programov Quarkus a Strimzi. Problém, ktorý sa objavuje, spočíva v tom, že testovanie týchto typov systémov na spracovanie údajov v reálnom čase uzavretých v kontajneroch je obzvlášť náročné. Hlavným cieľom práce je proof-of-concept aplikácie nad Strimzi testami. Táto práca tiež ukáže navrhnutý dlhodobý test applikácie a systému Strimzi, tiež známy ako Marathon, ktorý je ideálnou ukážkou užívateľských podmienok

    New Models for Automatic Detection of Performance Degradation

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    Performance testing is a critical factor in the optimisation of programs during its development, but it is still not so well developed in comparison to functional testing. A framework Perun provides full automation of performance management, thereby contributing to the development of this area. We have introduced three non-parametric approaches to performance data modelling: regressogram, moving average and kernel regression, which were integrated within this framework. We try to achieve appropriate approximations of performance data using these techniques, without the assumption of dependence between two variables, which represents the main advantage in comparison to parametric techniques. Further, we have proposed and implemented two methods for automatic detection of performance changes, which works with all kinds of models within Perun . We have demonstrated our solutions on the real project ( Vim ), and on the set of the experimental cases, in which we compared proposed solutions with existing. We have achieved decreased time processing about two-thirds and an almost triple improvement in the fitness of data modelling with new modelling approaches. The proposed detection methods detected performance degradation of three specific functions in comparison of two different versions of Vim, where was present a known performance issue

    Computer Game Based on Artificial Inteligence

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    This Bachelor's thesis is focused on artificial intelligence in computer games. It introduces the design of a two-dimensional computer game for two players of which one can be computer-controlled. The main task was the creation of a game with a simple user interface with focus on the opponent's artificial intelligence

    E-Shop

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    This bachalor's thesis discusses design and implementation of internet-based sales system that allows ordering goods (such as traditional e-commerce) and keep all the work connected with the processing of orders. This system also implements features that help owner with leading this e-commerce (keeping stock records, billing, shipping). It deals with the design and implementation of SEO-friendly application, which is also fully localized. This thesis also deals with modern elements of web applications, which are base of this system (frameworks, database mappers, etc.
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