1,720,958 research outputs found
Medical Mobile Apps Data Security Overview
No full textIn the growing industry of mHealth, mobile medical apps are becoming a popular mechanism for healthcare delivery. Characteristically, these apps are designed to both process and transmit data that is sensitive medical data. Such data is required to be kept private and secure through regulations and legislation. The detections of increased app hacking by security companies and researchers are especially significant amidst today’s rapid growth in healthcare mobile apps. Consequently, security and integrity of the data associated with these apps is a growing concern for the app industry, particularly in the highly regulated medical domain. Until recently, data integrity and security in transmission has not been given serious consideration in the development of mobile medical apps. There are currently no procedures or standard practices for developers of mobile medical apps to assure data integrity and security in transmission. This paper is an overview of existing mobile medical apps data security issues and security practices. We discuss current regulations, standards and best practices concerning data security in mobile medical apps. The paper introduces the concept of a process model and testing suite to assist mobile medical app developers to implement data security requirements to assure the Confidentiality, Integrity and Availability of data in transmission
Data Security Overview for Medical Mobile Apps Assuring the Confidentiality, Integrity and Availability of Data in Transmission
No full textMobile medical apps are a growing mechanism for healthcare delivery through an increasingly complex network of information technology systems connecting
patients, doctors, nurses, pharmacists and medical devices. Characteristically, these apps are designed to gather measure and transmit sensitive personal health data, which is required to be kept secure through regulations and legislation. With the integration of mobile medical apps into the healthcare industry, the multitude of sensitive personal health data transmitted across various applications, technologies and networks is increasing. This raises questions about compromised patient privacy and the security of the data associated with the mobile apps. The detections of increased app hacking by security companies and researchers are especially significant amidst today’s rapid growth in healthcare mobile apps. Consequently, security and integrity of the data associated with these apps is a growing concern for the app industry, particularly in the highly regulated medical domain. Until recently, data integrity and security in transmission has not been given serious consideration in the development of mobile medical apps. This paper provides an overview of existing mobile medical apps data security issues and security practices. We discuss current regulations concerning data security for mobile medical apps. The paper introduces our current research in data security for mobile medical apps. There are currently no procedures or standard practices for developers of mobile medical apps to assure data integrity and security. The paper introduces the concept of a process model to assist mobile medical app developers to implement data security requirements to assure the Confidentiality, Integrity and Availability of data in transmission. The research is grounded on the only published medical device security standard IEC/TR 80001-2-2:2012
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
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
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
- …
