Bibliometrics and scientometrics in India: An overview of studies during 1995-2014, Part I: Indian publication output and its citation impact

An analysis of 801 papers published in the area of bibliometrics and scientometrics during 1995-2014 indicates a steep increase in the number of papers published by Indian researchers as compared to the number of papers published during 1970-1994. This indicates a growing interest of Indian scholars in scientometrics and bibliometrics. The paper provides several reasons for this steep increase. The main focus of research is on bibliometric assessment of India and other countries followed by cross national assessment and bibliometric analysis of individual journals. CSIR-NISTADS is the top producing institute contributing about one-third (31.4%) of the total output followed by the output of Bhabha Atomic Research Centre and CSIR-NISCAIR. The distribution of citation data indicates that about one-fifth (21.7%) papers remained uncited. The paper identifies journals in which these uncited papers were published. Only 15% papers were cited more than 20 times. Most of the prolific authors as well as highly cited authors were from the institutions belonging to the Council of Scientific and Industrial Research. Among all authors B.M. Gupta (CSIR-NISTADS) produced the highest number of papers, but the impact as seen in terms of citation per paper and relative citation impact, S. Arunachalam (MSSRF) topped the list

Approximation Knowledge-Based Recurrent Neural Network for Estimating N-Terminal Reliability

The main problem dispersed with in this paper is to find a novel method for the improvement in the reliability analysis of Computer Network. Reliability prediction are estimated during the life cycle of a computer network with the aim of estimating failure. In designing a variable size network, the serviceability, availability and reliability of the any network is a primary consideration. The reliability calculation in varying size network is a problem of NP-hard; it requires more calculation and effort with the amplifying no of nodes and links. Many different approaches have been taken for reliability and probability calculation for triumphant communication between any pair of computers. The paper presents a method for identifying n-terminal network reliability based on RNN technique. The method derived in this paper preceding inputs which increases the speed of computation. The approach works efficiently and overcome the difficulties of the previous approaches defined with neural network model and other reliability estimation techniques. It is proposed that the RNN model be used to replace the most time-consuming component of the system reliability evaluation approach. A variable-length sequence input can be handled by RNN. The main goal of this paper is to predict asperity of reliability which is highly correlated with performance of network in any unfavorable conditions

Scientometrics of Indian crop science research as reflected by the coverage inScopus, CABI and ISA databases during 2008-2010

The paper analyses scientific output of India in the discipline of crop sciences as reflected by the coverage of scientificoutput in three different databases i.e. SCOPUS, CAB Abstracts and ISA (Indian Science Abstracts) during 2008-2010. Theanalysis indicates that highest number of papers was published on rice and wheat crop. Agricultural universities andinstitutions under the aegis of Indian Council of Agricultural Research (ICAR) were most productive institutions. Most ofthe papers were published in Indian journals with low impact factor. Environment and Ecology, Indian Journal ofAgricultural Sciences and Research on Crops were the most preferred journals used by the Indian scientists. The majorresearch is focused on ‘genetics and plant breeding’ followed by ‘soil, climate and environmental aspects’ and ‘agronomicaspects’. The authorship pattern reveals that co-authored papers accounted for 72% of total output

Why Should 5000 Children Die in India Every Day? Major Causes and Managerial Challenges

Globally, more than 10 million children under 5 years of age, die every year (20 children per minute), most from preventable causes, and almost all in poor countries. Major causes of child death include neonatal disorders (death within 28 days of birth), diarrhea, pneumonia, and measles. Malnutrition accounts for almost 35 % of childhood diseases. India alone accounts for almost 5000 child deaths under 5 years old (U5) every day. India.s child heath indicators are poor even compared with our Asian neighbors, namely Malaysia, Sri Lanka, Thailand, Vietnam, China, Nepal and Bangladesh. Within India, the states of Bihar, Madhya Pradesh, Orissa, Rajasthan and Uttar Pradesh account for almost 60 % of all child deaths India.s neonatal mortality, which accounts for almost 50 % of U5 deaths, is one of the highest in the world. India launched the Universal Immunization Program in 1985, but the status of full immunization in India has reached only 43.5 % by 2005-06. India started the Integrated Child Development Scheme (ICDS) in 1975 to provide supplementary nutrition to children, but 50 % of our children are still malnourished; nearly double that of Sub-Saharan Africa. The WHO/UNICEF training program on Integrated Management of Neonatal and Childhood Illnesses, known as IMNCI, started in India a few years ago, but the progress is very slow. What is unfortunate is the fact that most of these deaths are preventable through proven interventions: preventive interventions and/or treatment interventions, but the management of childhood illnesses is very poor. In this working paper, we bring out the nature and magnitude of child deaths in India (Chapter 1) and then share with you in Chapters 2, 3 and 4 our observations on the management of some of national programs of the government of India such as The Universal Immunization Program (UIP) The Integrated Child Development Scheme (ICDS) The Integrated Management of Neonatal and Child Illnesses (IMNCI) In the final chapter (Chapter 5), we highlight certain managerial challenges to satisfactorily address the child mortality and morbidity in our country.

Sentiment Analysis on IMDb Movie Reviews Using Hybrid Feature Extraction Method

Social Networking sites have become popular and common places for sharing wide range of emotions through short texts. These emotions include happiness, sadness, anxiety, fear, etc. Analyzing short texts helps in identifying the sentiment expressed by the crowd. Sentiment Analysis on IMDb movie reviews identifies the overall sentiment or opinion expressed by a reviewer towards a movie. Many researchers are working on pruning the sentiment analysis model that clearly identifies and distinguishes between a positive review and a negative review. In the proposed work, we show that the use of Hybrid features obtained by concatenating Machine Learning features (TF, TF-IDF) with Lexicon features (Positive-Negative word count, Connotation) gives better results both in terms of accuracy and complexity when tested against classifiers like SVM, Naïve Bayes, KNN and Maximum Entropy. The proposed model clearly differentiates between a positive review and negative review. Since understanding the context of the reviews plays an important role in classification, using hybrid features helps in capturing the context of the movie reviews and hence increases the accuracy of classification

Fragility thy name is glass

Fragility is a novel concept to understand the behaviour of glass-forming liquids. Several approaches have been made to quantify fragility. In this paper, some important formulae have been briefly introduced. A new approach has been made, in which the ionicity of bonding and a distance parameter have been introduced on the basis of intuitive arguments. An expression has been proposed on a heuristic basis, which seems to give fragilities in good agreement with the reported F Relx 1/2 fragilities