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This paper describes results of a scientometric study of "Robotics" research publications during the period of 10 years i.e. (2009-2018). The raw data was collected from leading citation database i.e. Scopus. The study examines and analysis various scientometrics parameter and after the analysis it has been found that the out of total 4325 research paper, the highest documents were published in 2018 i.e. 791 (18.29%) while the minimum 134 (3.1%) of research papers were found in the year 2009 and the annual growth rate of publications was in fluctuating trends. The maximum (1.23) relative growth rate was found in 2010; the highest doubling time (3.43) was recorded in 2018; the maximum papers were written by more than three authors i.e. 1657 research papers. The average degree of author's collaborations was (0.93). Krishna, K.M. was the most productive author with (51) research papers contribution. Out of a total 16670 citations, 2718 citations were recorded in 2010 and a total 4325 publications, 2704 (62.52%) of records were conference paper. The highest publications came from computer science subject and the highest publications were published in ACM international conference proceeding series while the maximum 2508 'Robotics keyword was used by the authors during the period of study. [ABSTRACT FROM AUTHOR]

The paper examines quality and quantity of scientific research in India as reflected in publications output on grid computing on a series of bibliometric indicators. Data were extracted from Scopus database consisting of 1340 publications in grid computing research from India in 10 years during 2008-17 citation impact of 4.33 citations per paper and international collaborative publication share of 12.16%. The paper profiles global publication output and share of 10 most productive countries in grid computing research, 15 most productive Indian organizations and 15 most productive authors on a series of indicators including publications output, number of citations, the relative citation index, citations per paper, h-index and share of international collaborative papers during 2008-17. Computer science, among top 3 subjects, accounted for the largest publication share (90.15%), followed by engineering (26.79%) and mathematics (13.66%). The 15 most leading organizations and authors together contributed 31.57% and 14.25% as their share of Indian publication output and 44.93% and 16.17% as their share of Indian citation output respectively during 2008-17. The most productive Indian organizations were Anna University, Chennai (74 papers) and Thapar University, Patiala (48 papers) The most productive authors were I. Chana of Thapar University, Patiala (21 papers) and N. Mukherjee of Jadavpur University, Kolkata (18 papers). The 15 most productive journals contributed 43.92% share to the Indian journal publication output during 2008-17. The most productive journals were Applied Engineering Research (16 publications), Journal of Grid Computing (14 publications) and Future Generation Computer Systems (13 publications). [ABSTRACT FROM AUTHOR]

The article discusses the unintended consequences of U.S. immigration policy on India's IT boom. In the 1990s, Indian college students and workers gained computer science skills with the hope of migrating to the U.S. IT industry. However, many ended up staying in India or returning after a short period due to restrictive immigration policies. These workers contributed to the development of India's IT sector, which experienced significant growth in the late 2000s. The article explores the impact of U.S. high-skill immigration policy on both India and the U.S., highlighting the potential benefits and drawbacks for each country. [Extracted from the article]

A measure of relative importance of variables is often desired by researchers when the explanatory aspects of econometric methods are of interest. To this end, the author briefly reviews the limitations of conventional econometrics in constructing a reliable measure of variable importance. The author highlights the relative stature of explanatory and predictive analysis in economics and the emergence of fruitful collaborations between econometrics and computer science. Learning lessons from both, the author proposes a hybrid approach based on conventional econometrics and advanced machine learning (ML) algorithms, which are otherwise, used in predictive analytics. The purpose of this article is two-fold: to propose a hybrid approach to assess relative importance and demonstrate its applicability in addressing policy priority issues with an example of food inflation in India, followed by a broader aim to introduce the possibility of conflation of ML and conventional econometrics to an audience of researchers in economics and social sciences, in general. [ABSTRACT FROM AUTHOR]

The paper examines the impact of import of technology on productivity of the organised manufacturing sector of India using firm level panel data for the period of 1995-2010. The estimation of an augmented Cobb-Douglas production function using the Levinsohn and Petrin econometric technique suggests that both embodied as well as disembodied forms of technology import have a positive and significant effect on aggregate manufacturing productivity. However, the sectoral estimation results based on technology intensive classification of firms reveal that the embodied technology purchases have a relatively more significant and positive impact across sectors, whereas the disembodied technology imports have positive effect on the productivity of medium technology intensive sectors. [ABSTRACT FROM AUTHOR]

Agricultural bioinformatics is one of the recent and the fastest emerging disciplines of the science exploiting computational approaches to biology and life sciences. It is facilitated through mathematical algorithms and statistical techniques essential for the development of a required labyrinthine algorithm that can interpret biological data and configure assumptions from biological shreds of evidences. The discipline comprises many quantitative examinations of the knowledge relating to the biological macromolecules, seeking aid from high-end computing systems and progresses further to computer science and communication technology solving arduous conundrums in the respective fields of life science and more precisely in the field of agriculture. India has mainly focused on the technological upgradation but lacks effective policy measures to have shifts from the traditional technologies. The National System of Innovation framework presents the current landscape of agriculture bioinformatics, and can be mapped for research purpose. The framework requires a variety of expertise stakeholders' networks for productive results, which can cater to the present and the future food demands, and can pinpoint needed solutions. This paper discusses the growth of agricultural bioinformatics in India and the challenges in that field. [ABSTRACT FROM AUTHOR]

The impact of Twenty-years-old conflict on Kashmiri society has proved deeper, wider and has engulfed the totality of social dynamics. In actuality, every sector and every section of the Kashmiri society suffer in totality at the individual as well as group level. Education was the major causality as a result of the conflict .The major cause leading to the decreasing working days were incidents of violence and crumbling of the entire system of governance. This paper aims to focus on the impact of the conflict situation on education of youth in Kashmir. The present study has been limited to youth enrolled in various degree colleges covering the faculties of general science, social science, Humanities, Business/commerce and computer science. The respondents were selected from the colleges of six districts of Kashmir province of Jammu and Kashmir. [ABSTRACT FROM AUTHOR]

The history of computing in India is inextricably intertwined with two interacting forces: the political climate (determined by the political party in power) and the government policies mainly driven by the technocrats and bureaucrats who acted within the boundaries drawn by the political party in power. There were four break points (which occurred in 1970, 1978, 1991 and 1998) that changed the direction of the development of computers and their applications. This article explains why these breaks occurred and how they affected the history of computing in India. [ABSTRACT FROM PUBLISHER]

Background: Despite expanding access to antiretroviral therapy (ART), most of the estimated 2.3 to 2.5 million HIV-infected individuals in India remain undiagnosed. The questions of whom to test for HIV and at what frequency remain unclear. Methods: We used a simulation model of HIV testing and treatment to examine alternative HIV screening strategies: 1) current practice, 2) one-time, 3) every five years, and 4) annually; and we applied these strategies to three population scenarios: 1) the general Indian population (“national population”), i.e. base case (HIV prevalence 0.29%; incidence 0.032/100 person-years [PY]); 2) high-prevalence districts (HIV prevalence 0.8%; incidence 0.088/100 PY), and 3) high-risk groups (HIV prevalence 5.0%; incidence 0.552/100 PY). Cohort characteristics reflected Indians reporting for HIV testing, with a median age of 35 years, 66% men, and a mean CD4 count of 305 cells/µl. The cost of a rapid HIV test was $3.33. Outcomes included life expectancy, HIV-related direct medical costs, incremental cost-effectiveness ratios (ICERs), and secondary transmission benefits. The threshold for “cost-effective” was defined as 3x the annual per capita GDP of India ($3,900/year of life saved [YLS]), or for “very cost-effective” was <1x the annual per capita GDP ($1,300/YLS). Results: Compared to current practice, one-time screening was very cost-effective in the national population (ICER: $1,100/YLS), high-prevalence districts (ICER: $800/YLS), and high-risk groups (ICER: $800/YLS). Screening every five years in the national population (ICER: $1,900/YLS) and annual screening in high-prevalence districts (ICER: $1,900/YLS) and high-risk groups (ICER: $1,800/YLS) were also cost-effective. Results were most sensitive to costs of care and linkage-to-care. Conclusions: In India, voluntary HIV screening of the national population every five years offers substantial clinical benefit and is cost-effective. Annual screening is cost-effective among high-risk groups and in high-prevalence districts nationally. Routine HIV screening in India should be implemented. [ABSTRACT FROM AUTHOR]

The article discusses the relationship of gender perception towards computing with computer anxiety and computer self-efficacy among female and male students in the U.S. It examines the impact of the two psychological factors on gender assessment concerning computing-related education and careers between American male and female students. It further investigates the same relationship among Indian students wherein female participation in the field is rapidly intensifying due to the growing demand for information technology (IT) outsourcing worldwide.

Describes the quality and status of computer science research in India as of June 1997. Absence of quality work; Sufficiency of funding for sponsored institutions; Isolation of general research work; Support from academic institutions and industry-sponsored laboratories. INSETS: Funding for computer science research.;Communications facilities for research..

A biography of Professor Rangaswamy Narasimhan is presented. He was born in Madras, currently known as Chennai, India on April 17, 1926. Narasimhan has been considered as founder of the computer science and technology across the country, particularly the emergence of the Computer Society of India (CSI). On Narasimhan's retirement in 1990, he accepted the invitation to be a Computer Maintenance Corp. (CMC) National Fellow in Information Technology.