1,720,955 research outputs found
Exploring Advanced Cybersecurity Mechanisms for Attack Prevention in Cloud-Based Retail Ecosystems
Get PDFAbstract Cyber security is emerging as a crucial factor in guaranteeing operation security, confidentiality, and business continuity. A variety of approaches and strategies are available to prevent, detect, and counteract online threats. This study investigates the different opportunities advanced mechanisms in the cyber security domain can catch the improving sophistication of cyber threats. It also supplies a detailed reflection of the potential cyber defense patterns that can be learned in the retail industry. An existing taxonomy, incorporating security modules that cover varied types of security measures, is shared to improve the approach\u27s developed design. A dataset on cloud-based retail ecosystem cyber threat modeling is analyzed and utilized. The detailed experience for model budget allocation is considered alongside cloud services\u27 parameters. Simulations illustrate the significance of defensive strategies in defending cloud-based retail ecosystems from varied attacks. The growing digitization of retail services has led to e-commerce\u27s widespread acceptance, consisting of online activities like the sharing of confidential and sensitive information for comparison and payment. However, these advantages have been challenged by security concerns. Cyber-attacks potentially damage e-commerce users, retailers, and third-party companies\u27 private information, software and hardware. Each entity\u27s hindrance is undermining confidence. Terrorists, wicked staff, family units, competitors, or ‘hacktivists’ aim to access or confuse the means and capture the identification, payment, and private information of honest parties
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
Neural Network Approaches for Real-Time Detection of Cardiovascular Abnormalities
Get PDFThe early detection of cardiovascular diseases could be life-saving, especially when the location of the patient is considered. Therefore, in recent years, work has been done on the early detection of cardiovascular diseases. The common point of deep learning models developed for the detection of cardiovascular diseases is the use of complex models. The complex model not only increases the amount of calculations but also prevents real-time use for the detection of cardiac diseases. In this study, by using simple deep learning models, the aim is to determine the deep learning model that allows the real-time detection of cardiovascular diseases. For this purpose, in the study, the models developed using convolutional neural networks and time-frequency information obtained with discrete wavelet transform were analyzed
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe 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
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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