175 research outputs found

    Subhajit Panda's Quick Files

    No full text
    The Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity

    Subhajit Panda's Quick Files

    No full text
    The Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity

    Open Access Movement: A Probable Solution of Present Crisis in Scholarly Communications

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    The spirit and philosophy of Open Access are in sync with FAIFE owing to its visible role in sharing intellectual freedom for building information democracy. But with the exponential increase of cost of scholarly research publication and capture of a huge portion of publication industry by for-profit publishers create a void between the research and researcher, information and seeker, educator and learner, query and the solutions. This paper illustrates the hidden cause of this crisis in scholarly communication and gives a brief understanding of total open access movement, from past initiative to future plans. Additionally, this paper thoroughly pointed out the tools and platforms which can be used by educators and researchers to promote this open access movement with great success. The paper reflects the value of open access movement in the way to eliminate the communication gap in terms of scholarly research work

    A Meta-Analysis of Scholarly Research on Corona virus through Big Data Approach

    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

    Open Access Indian Publications: An Empirical Study of DOAJ

    No full text
    There are two general strategies for achieving Open Access (OA) to scholarly communication, the gold road and the green road. The largest and authoritative gold road OA database is the Directory of Open Access Journals (DOAJ) indexing all the standard OA journals meeting the DOAJ criteria of inclusion. The purpose of this paper is to investigate the contribution of Indian publications to the global OA movement. The analysis of the present study was done based on a total dataset of 289 research publications of Indian OA journal as imported from the DOAJ database. The findings of the study reveal that Indian OA journals account for only 2% of the total coverage of DOAJ. Among them, journals in the field of Medicine alone account for 79% and approximately 73% of journals are published in both print & electronic medium with PDF as the preferred file format, DOI as preferred permanent article identifier and English as the preferred language of publication. Almost 89% of Indian OA journals provide full-text crawl permission, while 75% of them provide download statistics. All the Indian journals covered under DOAJ are peer-reviewed and out of them, most of the journals (76%) are double-blind peer-reviewed. Indian OA publications with CC BY-NC-SA license cover the highest percentage (75%) and 206 journals (71%) do not charge APC. In majority of Indian OA journals (89%), the author doesn’t hold either the copyright or publishing rights without restrictions from the journal publishers. It is important to note that only two journals (~1%) satisfied the requirements of DOAJ Seal

    BASIC FUNCTIONAL UNITS OF A COMPUTER

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    BASIC FUNCTIONAL UNITS OF A COMPUTER ............................................................................................................. Computer, any of a class of devices capable of solving problems by processing information in discrete form. It operates on data, including magnitudes, letters, and symbols, that are expressed in binary code — i.e., using only the two digits 0 and 1. By counting, comparing, and manipulating these digits or their combinations according to a set of instructions held in its memory, a digital computer can perform such tasks as to control industrial processes and regulate the operations of machines; analyze and organize vast amounts of business data; and simulate the behaviour of dynamic systems (e.g., global weather patterns and chemical reactions) in scientific research. A typical computer system has four basic functional elements : (1) Input-output equipment, (2) Main memory, (3) Control unit, and (4) Arithmetic-logic unit

    1.1.1.1 - Two Minutes Away From Browsing A Faster, More Private Internet

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    What 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/  </p

    <strong>Analysis of Published Research in IP Indian Journal of Library Science and Information Technology: A Bibliometric Study during 2016-2020</strong>

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    Bibliometrics 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

    <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

    <strong>Open Access Indian Publications: An Empirical Study of DOAJ</strong>

    No full text
    There are two general strategies for achieving Open Access (OA) to scholarly communication, the gold road and the green road. The largest and authoritative gold road OA database is the Directory of Open Access Journals (DOAJ) indexing all the standard OA journals meeting the DOAJ criteria of inclusion. The purpose of this paper is to investigate the contribution of Indian publications to the global OA movement. The analysis of the present study was done based on a total dataset of 289 research publications of Indian OA journal as imported from the DOAJ database. The findings of the study reveal that Indian OA journals account for only 2% of the total coverage of DOAJ. Among them, journals in the field of Medicine alone account for 79% and approximately 73% of journals are published in both print & electronic medium with PDF as the preferred file format, DOI as preferred permanent article identifier and English as the preferred language of publication. Almost 89% of Indian OA journals provide full-text crawl permission, while 75% of them provide download statistics. All the Indian journals covered under DOAJ are peer-reviewed and out of them, most of the journals (76%) are double-blind peer-reviewed. Indian OA publications with CC BY-NC-SA license cover the highest percentage (75%) and 206 journals (71%) do not charge APC. In majority of Indian OA journals (89%), the author doesn’t hold either the copyright or publishing rights without restrictions from the journal publishers. It is important to note that only two journals (~1%) satisfied the requirements of DOAJ Seal. </p
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