Scientometrics Profile of the Banasthali Vidyapith: A Deemed University of Rajasthan, India

The current investigation work utilized bibliometric and visualization techniques. Scopus bibliographic database sources used to retrieve data. Two thousand seven hundred sixty-four (2764) papers retrieved by applying the \u27Affiliation\u27 in Scopus\u27 simple search section. Biblioshiny (3.0), MS-Access, Excel, and VOS Viewer software used to analyze data and bibliometric indicator extraction employ to evaluate the research productivity of Banasthali University for a period of twenty-one years from 2000 to 2020. This data analysis leads to monitor the university\u27s past and present status to maps its future perspectives. This study ventured to examine the overall performance of the faculties and researchers of the Banasthali University in research productivity and publications. The study concerned on finding the year-wise distribution of the publications, author\u27s keywords ID, period, average citations per documents, top-ranked subjects, authors, most distinguished and productive author, author appearances, single-authored documents, multi-authored documents, top-ranked publications, co-authors per documents, co-authorship index, degree of collaboration based on the collected data and information gathered

What do we know about the effects of S3D on learning?

In this session, Len Scrogan, an adjunct professor with the University of Colorado-Denver and past Director of Instructional Technology with the Boulder Valley School District, presented on three themes related to S3D in educational settings: Content Len demonstrated three types of S3D software currently used in schools: learning objects, video and animation shorts, and simple interactives (micro-simulations). He showed a taxonomy of six different types of S3D content for the education market and provided a list of currently available 3D educational content providers, citing a 350% growth in companies offering 3D educational content over the previous two and a half years. Len also pointed out the differences between educational and entertainment software within the S3D environment, highlighting its more static nature, the greater use of negative parallax, and six varieties currently common. Research Len suggested that the effectiveness of S3D in educational settings is simply related to the effectiveness of visualization strategies in learning; he briefly reviewed past, present, and coming research in the area of the effectiveness of S3D in education settings, mentioning some of the common limitations faced, the general paucity of research, and some interesting post-study interview findings related to learning replay and mental reconstruction, which might call for in-depth further study. The Future Len concluded with a look at the bright future of S3D in education. He displayed the 2010 “Speak Up” survey results in which students indicated having access to 3D content in digital resources was clearly a high priority for them. Len also suggested that future research be less concerned with analyzing intermediate measures and the low lying fruit of engagement, focus, and retention, but rather concentrate on more important questions. He then highlighted a number of research questions that need to be addressed. He also talked about the increasingly expanding future of student-generated content and the growing use of 3D in medical schools and teaching hospitals at the university level

Reviews

Judith Jeffcoate, Multimedia in Practice ‐Technology and Applications, BCS Practitioner Series, Prentice‐Hall International, 1995. ISBN: 0–13–123324–6. £24.95

Research and Education in Computational Science and Engineering

Over the past two decades the field of computational science and engineering (CSE) has penetrated both basic and applied research in academia, industry, and laboratories to advance discovery, optimize systems, support decision-makers, and educate the scientific and engineering workforce. Informed by centuries of theory and experiment, CSE performs computational experiments to answer questions that neither theory nor experiment alone is equipped to answer. CSE provides scientists and engineers of all persuasions with algorithmic inventions and software systems that transcend disciplines and scales. Carried on a wave of digital technology, CSE brings the power of parallelism to bear on troves of data. Mathematics-based advanced computing has become a prevalent means of discovery and innovation in essentially all areas of science, engineering, technology, and society; and the CSE community is at the core of this transformation. However, a combination of disruptive developments---including the architectural complexity of extreme-scale computing, the data revolution that engulfs the planet, and the specialization required to follow the applications to new frontiers---is redefining the scope and reach of the CSE endeavor. This report describes the rapid expansion of CSE and the challenges to sustaining its bold advances. The report also presents strategies and directions for CSE research and education for the next decade.Comment: Major revision, to appear in SIAM Revie

Qualitative grading of aortic regurgitation: a pilot study comparing CMR 4D flow and echocardiography.

Over the past 10 years there has been intense research in the development of volumetric visualization of intracardiac flow by cardiac magnetic resonance (CMR).This volumetric time resolved technique called CMR 4D flow imaging has several advantages over standard CMR. It offers anatomical, functional and flow information in a single free-breathing, ten-minute acquisition. However, the data obtained is large and its processing requires dedicated software. We evaluated a cloud-based application package that combines volumetric data correction and visualization of CMR 4D flow data, and assessed its accuracy for the detection and grading of aortic valve regurgitation using transthoracic echocardiography as reference. Between June 2014 and January 2015, patients planned for clinical CMR were consecutively approached to undergo the supplementary CMR 4D flow acquisition. Fifty four patients(median age 39 years, 32 males) were included. Detection and grading of the aortic valve regurgitation using CMR4D flow imaging were evaluated against transthoracic echocardiography. The agreement between 4D flow CMR and transthoracic echocardiography for grading of aortic valve regurgitation was good (j = 0.73). To identify relevant,more than mild aortic valve regurgitation, CMR 4D flow imaging had a sensitivity of 100 % and specificity of 98 %. Aortic regurgitation can be well visualized, in a similar manner as transthoracic echocardiography, when using CMR 4D flow imaging