1,720,958 research outputs found

    INDIVIDUAL ENTREPRENEURIAL ORIENTATION FOR ENTREPRENEURIAL READINESS: A SURVEY OF GRADUATING STUDENTS AT TVET COLLEGES IN NIGERIA

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    The research data is for the manuscript submitted to Humanities and Social Sciences Communication

    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

    Machine learning based approach for detecting Distributed Denial of Service attack

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    All elements of the IT industry are expanding, including bandwidth, storage, processing speed. As a result, there are now more cyber threats and attacks, necessitating a creative and predictive security approach that employs cutting-edge technology to combat the danger. The trends will be monitored, and adequate analysis from various sets of data will be utilized to build a model that is based on the information available. Distributed Denial of Service (DDoS) is one of the most prevalent dangers and attacks wreaking havoc on internet-connected computer equipment. This study compares the performance of several machine learning-based classifiers for detecting DDoS assaults before they occur. This experiment made use of data from the benchmark KDD-Cup-1999 DDoS attack. To choose essential characteristics in the context of DDoS detection, I created three distinct types of feature selection techniques. The findings revealed that feature selection approaches can assist domain specialists in understanding the intrusion system’s hidden key patterns and features during DDoS detection. DNN-based deep learning and semi-supervised learning method were also compared with the ML-based classifiers output. The suggested model learns to recognize regular network traffic to detect ICMP, TCP, and UDP DDoS traffic as it arrives. Experiments show that machine learning algorithms may correctly classify the traffic into regular and DDoS. This discovery has long-term implications in a variety of sectors, including national defence, financial institutions, healthcare, and other businesses where sophisticated intrusion detection techniques are required. In the future, I would want to apply similar approaches to a variety of datasets

    Psychosocial determinants of entrepreneurial readiness: the role of TVET institutions in Nigeria.

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    Doctoral Degree. University of KwaZulu-Natal, Durban.Scholarly works in recent times have made substantial efforts to identify that aspects of entrepreneurship that can stimulate entrepreneurial readiness for venture creation. Perhaps some of the most investigated subjects are personality traits, education, and social values. Previous studies on the need for entrepreneurial skills have established a disparity between the curriculum, pedagogical methods and the required skills for business creation. As a result, identifying the determinants of entrepreneurial readiness is of utmost necessity considering the increasing rate of youth unemployment in Nigeria. This current study aimed at determining psychosocial factors of entrepreneurial readiness by examining the influence of entrepreneurship education (EE), entrepreneurial self-efficacy (ESE) and individual entrepreneurial orientation (IEO) on entrepreneurial readiness. This research study was sustained by the pragmatism philosophical paradigm. Case study research design was employed, and the mixed method approach was used in the collection of data for the purpose of triangulation of results. Through the use of triangulation technique, questionnaires were administered to a sample of 301 exit level students of three selected Technical Vocational Education and Training (TVET) institutions in South-West Nigeria, using convenience sampling strategy. A response rate of 96% from the students was achieved. With the adoption of purposive sampling technique, nine entrepreneurship teachers were selected for in-depth interviews from the three selected TVET institutions. Eight of the respondents granted the interviews, which was 88% response rate. Thematic analysis of the qualitative data was achieved through the use of NVivo 12 software. SPSS version 25 was used in analysing the quantitative data. Descriptive and inferential statistics which include, Pearson’s correlation and regression analyses of the quantitative data were conducted to achieved the research objectives. Three hypotheses were formulated to test the conceptual model through multiple regression analysis. A significant association was found between EE and entrepreneurial readiness. ESE searching, planning and implementing were found to be significantly associated with entrepreneurial readiness, but ESE marshalling has no significant association with entrepreneurial readiness. IEO as a whole showed significant association with entrepreneurial readiness, while risk-taking propensity was non-significant with entrepreneurial readiness. The study established that the exit level students lack the skills to gather economic or business resources towards starting a business. The study also revealed that entrepreneurship curriculum at the selected TVET institutions lacks practical approach. There is no evidence in literature that attempts a mixed method approach to determine psychosocial factors of students’ entrepreneurial readiness in the context of TVET institutions in Nigeria. The outcome of this study revealed that EE, ESE and IEO are psychosocial determinants of entrepreneurial readiness

    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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    koamabayili/VECTRON-author-checklist: VECTRON author checklist

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    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
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