Shodhganga and Shodhshuddhi “2S” –Indian research Paragon: A Study

This study examines and discusses the overview of the contributions made by the Indian Universities that signed MOU to the Open Access repository with INFLIBNET namely Shodhganga. 463 universities are contributing 247285 theses in Shodhganga in the INFLIBNET list as of 24.04.2020 where the State Universities contributed 195913 theses (79.22percent). Tamil Nadu contributed the highest number of theses 46416 where a maximum of 11908 theses was contributed by the individual university from Calcutta University, West Bengal. A total of 463 universities, 187 of the state universities, 140 of those are private universities, 88 of which are deemed universities and 3 of which are CFTI universities and the remaining 45 of which are central universities, that all keep e-theses in the Shodhganga repository. Tamil Nadu has the largest number (46) of universities depositing these into the repository. The investigator also examined that a total of 31 states use plagiarism detection software through the INFLIBNET-initiated Shodhshuddhi project with 1032 institutes/universities

Circle Formation by Asynchronous Opaque Fat Robots on an Infinite Grid

This study addresses the problem of "Circle Formation on an Infinite Grid by Fat Robots" ($CF\_FAT\_GRID$). Unlike prior work focused solely on point robots in discrete domain, it introduces fat robots to circle formation on an infinite grid, aligning with practicality as even small robots inherently possess dimensions. The algorithm, named $CIRCLE\_FG$, resolves the $CF\_FAT\_GRID$ problem using a swarm of fat luminous robots. Operating under an asynchronous scheduler, it achieves this with five distinct colors and by leveraging one-axis agreement among the robots

Visualizing museums through the visitors’ eye: An n-gram model-based text analysis approach

All over the world Museums are developing a Customer Service mindset characteristic of large businesses. Part of this shift can be seen in the rapid adoption of museum visitor surveys that gather feedback about a visitor’s experience in relation to their demographic characteristics — such as likes, dislikes, etc. as per their age, gender and income. The concept of listening to the visitor through such census data collection is not new, it was there from the very beginning, but in certain aspects, it appears to be deficient. For example, it becomes arduous and difficult to identify if the visitors find the place “memorable”. Did they feel “welcome” from the beginning? Do they think “science” is given a due share in that science museum? Can we build an at-a-glance graphical representation of the museum’s image in the visitor’s mental map? Census type data collection is very manpower intensive and is often biased as the visitors feel righteous to answer the questionnaire more “correctly” than “frankly”. They are not generally considered “easy in-person survey tools”. In this paper, we will discuss a very new way of listening to the visitors and reconstructing their free and fair post-visit overall mental map of the museum. In this new effort, we have tried to construct an automated AI-based word-cloud image from visitors’ feedback offered voluntarily in social networks like, say, in Google review. This image is helpful in summarizing and analysing a large amount of feedback data on a single page by focusing on the keywords and phrases adopted by the visitor in describing her experience. This approach is especially useful for centralized analysis of feedback data on museums having a large number of branches. Hence, we have applied this method to process feedback on the National Council of Science Museums, the largest body of science museums in India managing twenty-five centres all over the country. For the very first time applying this method, we have been able to visualize our museums through the visitor’s eye rendering the analytic result in the form of a word-cloud that reflects what the visitors fancy most when they recall the museum experience after the visit

Visualizing museums through the visitors’ eye: An n-gram model-based text analysis approach

21-32    All over the world Museums are developing a Customer Service mindset characteristic of large businesses. Part of this shift can be seen in the rapid adoption of museum visitor surveys that gather feedback about a visitor’s experience in relation to their demographic characteristics — such as likes, dislikes, etc. as per their age, gender and income. The concept of listening to the visitor through such census data collection is not new, it was there from the very beginning, but in certain aspects, it appears to be deficient. For example, it becomes arduous and difficult to identify if the visitors find the place “memorable”. Did they feel “welcome” from the beginning? Do they think “science” is given a due share in that science museum? Can we build an at-a-glance graphical representation of the museum’s image in the visitor’s mental map?     Census type data collection is very manpower intensive and is often biased as the visitors feel righteous to answer the questionnaire more “correctly” than “frankly”. They are not generally considered “easy in-person survey tools”. In this paper, we will discuss a very new way of listening to the visitors and reconstructing their free and fair post-visit overall mental map of the museum. In this new effort, we have tried to construct an automated AI-based word-cloud image from visitors’ feedback offered voluntarily in social networks like, say, in Google review. This image is helpful in summarizing and analysing a large amount of feedback data on a single page by focusing on the keywords and phrases adopted by the visitor in describing her experience. This approach is especially useful for centralized analysis of feedback data on museums having a large number of branches.     Hence, we have applied this method to process feedback on the National Council of Science Museums, the largest body of science museums in India managing twenty-five centres all over the country. For the very first time applying this method, we have been able to visualize our museums through the visitor’s eye rendering the analytic result in the form of a word-cloud that reflects what the visitors fancy most when they recall the museum experience after the visit

Peritoneal rent: No hindrance to completing eTEP

Background: Extended view total extraperitoneal (eTEP) has rapidly gained popularity over the last decade. Peritoneal rent during surgery is another complication that makes surgery difficult and forces surgeons to convert to either transabdominal pre-peritoneal or open hernioplasty. With our approach despite peritoneal rent developed intraoperatively, surgery can be completed in the same extraperitoneal plane during eTEP. Aims and Objectives: The primary objective of this study was to investigate the feasibility of completing eTEP surgery despite the occurrence of peritoneal rent during the procedure. Materials and Methods: It is a retrospective case series conducted at high volume center, All India Institute of Medical Science, Bhubaneswar, where eTEP is performed on regular basis for patients with inguinal hernia. While performing eTEP, we came across 10 cases where peritoneal rent developed intraoperatively and was repaired using 2–0 vicryl following which eTEP was successfully completed. Results: Six patients out of 10 underwent peritoneal rent repair through the extraperitoneal approach, with an average operative time of 97.5 min. The repair process added an average of 12.5 min to the standard eTEP operative time of 85 min. Four patients underwent peritoneal rent repair through the intraperitoneal approach, with a mean operative time of 120 min. This approach added approximately 35 min to the surgery, reflecting the additional time required for the intraperitoneal repair. Conclusion: Our findings suggest that peritoneal rent developed during eTEP surgery can be effectively managed without compromising the integrity of the procedure. Repairing the peritoneal rent extraperitoneally takes advantage of the wide extraperitoneal space provided by the eTEP approach, offering flexibility in port placement and enhanced ergonomics. Alternatively, intraperitoneal repair with additional ports is a viable option. Peritoneal rent should not be perceived as a hindrance to the successful completion of eTEP surgery. This innovative approach expands the scope of eTEP by providing solutions for unforeseen complications, ensuring its continued efficacy in inguinal hernia repair

A Scientometric Introspect of Literary Warrants Published in Annals of Library and Information Studies (ALIS) during the Last Decade

Scientometric studies are enduring studies that portray an organized visual of messy data. The current study is a scientometric study based on secondary data sets included in Scopus. A corpus of 311 documents published in the journal Annals of Library and Information Studies (ALIS) from 2011 to 2020 was the population of the study. The study focused on several characteristics of the journal, including article distribution, average author per document, average document per year, authorship productivity, collaboration index, country-wise distribution of documents and citation analysis. The study retrieved the most prolific author contributing to this journal with 19 articles. The Council of Scientific and Industrial Research (CSIR) and the University of Delhi were the top literary contributors to the ALIS journal. The University of Kerala got the most citations per document (6.833). The maximum count of author keywords (Scientometrics) used in the journal from 2011 to 2020 was 135

Analyzing Digital Literacy (DL) of the LIS students, University of North Bengal, India

The motivation behind this investigation is to look at the three variables of advanced education, digital literacy (DL), for example, level, learning, and aptitudes (or level, knowledge and skills) of the students of library and information science (LIS), University of North Bengal. The examination used the review to explore the philosophy of the survey as an exploration tool. The questionnaire was planned, designed and conveyed to 60 students in the library and Information science; out of 60 understudies, 49 (81.66%) reacted. The finding suggests that the DL level is astute in terms of gender orientation and habitation and distinguishes different DLs between students as well as decision-making DL (Computer) abilities through gender and social foundations

TRENDS IN ACADEMIC MOBILITY IN THE UNIVERSITY OF NORTH BENGAL (2011-2020): A SCIENTOMETRIC STUDY

The paper examines the bibliographic data of 1436 documents published by the University of North Bengal and retrieves the data for a span of ten years, which was indexed in the Scopus database from 2011 to 2020 on various parameters. The average number of documents published per year was 143.6. The highest number of publications 166 was published in 2020, while the lowest number of publications was 108 in 2011. The relative growth rates (RGR) have decreased in 2019 (-0.34) and highest in 2012 (0.756) for last 10 years. The doubling time (Dt) increased during 2012 to a maximum of 231. Throughout the study, 9907 citations were recorded and a maximum of 2280 citations was noted in 2020. The majority of the documents came from articles, with 1333 coming from journals, and the source of the most funds was from UGC (12.67). Most of the co-authors came from the United States (8.22 per cent), and P Ghosh was the most prolific author, with 118 contributions