1,721,065 research outputs found
A Meta-Analysis of Scholarly Research on Corona virus through Big Data Approach
No full textThe purpose of the study is to examine the status of scholarly literature on Corona virus indexed in the big database, the Lens, taking into account, top-cited articles, top contributors, top active country region, most accepted study field and open access status. Relative growth rate (RGR) and Doubling time (Dt) calculation is also a major reflects of the paper. The study analyzes the status of scholarly publications on Corona virus research as indexed by Lens spanning a period from the oldest record until July 15, 2020. “Structured Search” was made under “New Scholar Search” using the term “Corona virus” and restrict the search result only for “Journal Article”. Results obtained were imported through email (.csv file) for further analysis and visualization using spreadsheet software. The results of the study show that out of total 26628 scholarly outputs 2109 are cited in a patent while 15963 in another scholarly literature. “The University of Hong Kong” is the most productive university with 412 scholarly literature, “The United States” as a most contributing country provides 8433 publications, “Journal of Virology” is the most contributing journal with 1012 publications, “Kwok-Yung Yuen” contributed maximum as an individual author and “Elsevier” as a top journal publisher. Among the Lens indexed scholarly publications on Corona virus, 64.04% obtained open accessibility in terms of open access colour while 64.09% under an open-access. No previous study could be identified dealing with such meta-analysis using the Lens database
1.1.1.1 - Two Minutes Away From Browsing A Faster, More Private Internet
No full textWhat is 1.1.1.1?
1.1.1.1 is a fast and private way to browse the Internet. It is a public DNS resolver, but unlike most DNS resolvers, 1.1.1.1 is not selling user data to advertisers. The implementation of 1.1.1.1 makes it the fastest resolver out there.
What is DNS?
The Domain Name System (DNS) is the phonebook of the Internet. Humans access information online through domain names, like nytimes.com or espn.com. Web browsers interact through Internet Protocol (IP) addresses. DNS translates domain names to IP addresses so browsers can load Internet resources.
Each device connected to the Internet has a unique IP address which other machines use to find the device. DNS servers eliminate the need for humans to memorize IP addresses such as 192.168.1.1 (in IPv4), or more complex newer alphanumeric IP addresses such as 2400:cb00:2048:1::c629:d7a2 (in IPv6).
What is a DNS resolver?
When a user requests to visit a web application like facebook.com, the user’s computer needs to know what server to connect to so that it can load the application. Computers don’t initially have the necessary information to do this ''name to address'' translation, so they ask a specialized server to do it for them.
This specialized server is called a DNS recursive resolver. The resolver’s job is to find the address for a given name, like 2400:cb00:2048:1::c629:d7a2 for cloudflare.com, and return it to the computer that asked for it.
Computers are configured to talk to specific DNS resolvers, identified by IP address. Usually the configuration is managed by the user’s ISP (like Comcast or AT&T) on home or wireless connections, and by an network administrator on office connections. Users can also manually change which DNS resolver their computers talk to.
Why use 1.1.1.1 instead of an ISP’s resolver?
The main reasons to switch to a third-party DNS resolver are security and performance. ISPs do not always use strong encryption on their DNS or support DNSSEC, which makes their DNS queries vulnerable to data breaches and exposes users to threats like man-in-the-middle attacks. In addition, ISPs often use DNS records to track their users’ activity and behavior. These resolvers don’t always have great speeds and when they get overloaded by heavy usage they become even more sluggish. If there is enough traffic on the network, an ISP’s recursor could stop answering requests altogether. In some cases attackers deliberately overload an ISP’s recursors, resulting in a denial-of-service.
These downsides and risks of ISP recursors can be mitigated with a secure recursive DNS service like 1.1.1.1. With security features like bleeding-edge encryption and the fastest resolution speeds, 1.1.1.1 provides a better overall user experience.
What makes 1.1.1.1 more secure than other public DNS services?
Some other recursive DNS services may claim that their services are secure because they support DNSSEC. While this is a good security practice, users of these services are ironically not protected from the DNS companies themselves. Many of these companies collect data from their DNS customers to use for commercial purposes. Alternatively, 1.1.1.1 does not mine any user data. Logs are kept for 24 hours for debugging purposes, then they are purged.
1.1.1.1 also offers some security features not available from many other public DNS services, such as query name minimization. Query name minimization diminishes privacy leakage by only sending minimal query names to authoritative DNS servers.
What makes 1.1.1.1 the fastest recursive DNS service?
The power of the Cloudflare network makes gives 1.1.1.1 a natural advantage in terms of delivering speedy DNS queries. Since it has been deployed on Cloudflare’s 1000+ servers worldwide, users anywhere in the world will get a quick response from 1.1.1.1; in addition to this, these servers have access to the over 7 million domains on the Cloudflare platform, making queries for those domains lightning-fast.
The best part of 1.1.1.1 is that in addition to being the fastest and most consumer-centered DNS, it's free to use.
References -
https://www.cloudflare.com/learning/dns/what-is-1.1.1.1/
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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
<strong>Analysis of Published Research in IP Indian Journal of Library Science and Information Technology: A Bibliometric Study during 2016-2020</strong>
No full textBibliometrics is the discipline where quantitative methods were employed to probe the scientific communication process by measuring and analyzing various aspects of written documents. It helps to monitor the growth of literature and patterns of research. The present paper is based on the analysis of IP Indian Journal of Library Science and Information Technology (IJLSIT) with the help of bibliometrics parameters during the period 2016 to 2020. Among the several bibliometric parameters, the study utilizes mainly the number of articles per volume or year, authorship pattern, collaborative pattern, topmost authors, state-, designation-& affiliation-wise contribution, reference per article count, cited resources type, research trends and research interests. The research data of this study collected manually, analysed with the help of an MS Excel spreadsheet and distinguished according to different types of bibliometric elements. The findings of the study suggested that in IJLSIT, the maximum number of articles published in the year 2019 (25.74%), 53.47% (54) articles contributed by a single author, and the overall collaboration rate is 0.47. Furthermore, 90% (91) of articles contributed by Indian authors and Hemantha Kumar G.H. is the most productive author. Maharastra (18.81%) being the most contributed Indian state, Benue State University & Rayalaseema University (4.95%) being the most contributed institutions and College Librarians are the most designated contributors (20.79%). The study further revealed that 0-5 pages are the most common length, 6-10 references are the most common references used per article, and periodicals are the most commonly cited reference types. The area "Digital Library" is nurtured most among researchers, whereas, the year 2018, vol. 3, issue 1 consists of the maximum views number (18.01%) and the year 2020, vol. 5, issue 1 has the most number of downloads (22.92%).</p
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
<strong>A Meta-Analysis of Scholarly Research on Corona virus through Big Data Approach</strong>
No full text
The purpose of the study is to examine the status of scholarly literature on Corona virus indexed in the big database, the Lens, taking into account, top-cited articles, top contributors, top active country region, most accepted study field and open access status. Relative growth rate (RGR) and Doubling time (Dt) calculation is also a major reflects of the paper. The study analyzes the status of scholarly publications on Corona virus research as indexed by Lens spanning a period from the oldest record until July 15, 2020. “Structured Search” was made under “New Scholar Search” using the term “Corona virus” and restrict the search result only for “Journal Article”. Results obtained were imported through email (.csv file) for further analysis and visualization using spreadsheet software. The results of the study show that out of total 26628 scholarly outputs 2109 are cited in a patent while 15963 in another scholarly literature. “The University of Hong Kong” is the most productive university with 412 scholarly literature, “The United States” as a most contributing country provides 8433 publications, “Journal of Virology” is the most contributing journal with 1012 publications, “Kwok-Yung Yuen” contributed maximum as an individual author and “Elsevier” as a top journal publisher. Among the Lens indexed scholarly publications on Corona virus, 64.04% obtained open accessibility in terms of open access colour while 64.09% under an open-access. No previous study could be identified dealing with such meta-analysis using the Lens database.</p
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
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