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Portraying the Other in Textbooks and Movies: The Mental Borders and Their Implications for IndiaPakistan Relations
Borders have been traditionally known just as physical cartographic boundaries on maps. However, the epistemological and ontological underpinnings of Border Studies have witnessed constant evolution in the past century. This has brought to the fore the importance of mental borders along with the physical borders. When it comes to a region like South Asia, the lack of regional integration is conspicuous. One of the reasons for this is the existence of mental borders along with rigid physical borders. The paper seeks to understand the process of creation of mental borders between the two South Asian neighbours by probing it from the point of view of school textbooks and cinematic narrative. School textbooks are the most fundamental building blocks of knowledge in any society. Analysis of these texts brings forward the metaphysical construction of mental borders at a very early stage. Subsequently, cinema as a mode of popular culture is an effective tool in order to understand social phenomena from peoples perspective. Here, the process of meaning creation is largely embedded in linguistics and is derived from peoples experiences. The deconstruction of these data sources leads to the understanding of the process of mental border formation. 2019, 2019 Association for Borderlands Studies. -
A Survey of Sentiment Analysis from Social Media Data
In the current era of automation, machines are constantly being channelized to provide accurate interpretations of what people express on social media. The human race nowadays is submerged in the idea of what and how people think and the decisions taken thereafter are mostly based on the drift of the masses on social platforms. This article provides a multifaceted insight into the evolution of sentiment analysis into the limelight through the sudden explosion of plethora of data on the internet. This article also addresses the process of capturing data from social media over the years along with the similarity detection based on similar choices of the users in social networks. The techniques of communalizing user data have also been surveyed in this article. Data, in its different forms, have also been analyzed and presented as a part of survey in this article. Other than this, the methods of evaluating sentiments have been studied, categorized, and compared, and the limitations exposed in the hope that this shall provide scope for better research in the future. 2014 IEEE. -
Indexing exoplanets with physical conditions potentially suitable for rock-dependent extremophiles
The search for different life forms elsewhere in the universe is a fascinating area of research in astrophysics and astrobiology. Currently, according to the NASA Exoplanet Archive database, 3876 exoplanets have been discovered. The Earth Similarity Index (ESI) is defined as the geometric mean of radius, density, escape velocity, and surface temperature and ranges from 0 (dissimilar to Earth) to 1 (similar to Earth). The ESI was created to index exoplanets on the basis of their similarity to Earth. In this paper, we examined rocky exoplanets whose physical conditions are potentially suitable for the survival of rock-dependent extremophiles, such as the cyanobacteria Chroococcidiopsis and the lichen Acarospora. The Rock Similarity Index (RSI) is first introduced and then applied to 1659 rocky exoplanets. The RSI represents a measure for Earth-like planets on which physical conditions are potentially suitable for rocky extremophiles that can survive in Earth-like extreme habitats (i.e., hot deserts and cold, frozen lands). 2020 by the authors. Licensee MDPI, Basel, Switzerland. -
Analysis of Membership Probability in Nearby Young Moving Groups with Gaia DR2
We analyze the membership probability of young stars belonging to nearby moving groups with Gaia DR2 data. The sample of 1429 stars was identified from "The Catalog of Suspected Nearby Young Moving Group Stars." Good-quality parallax and proper motion values were retrieved for 890 stars from the Gaia DR2 database. The analysis for membership probability is performed in the framework of the LACEwING algorithm. From the analysis it is confirmed that 279 stars do not belong to any of the known moving groups. We estimated the U, V, W space velocity values for 250 moving group members, which were found to be more accurate than previous values listed in the literature. The velocity ellipses of all the moving groups are well constrained within the "good box," a widely used criterion to identify moving group members. The age of moving group members are uniformly estimated from the analysis of the Gaia color-magnitude diagram with MIST isochrones. We found a spread in the age distribution of stars belonging to some moving groups, which needs to be understood from further studies. 2020. The American Astronomical Society. All rights reserved.. -
On Certain J-Colouring Parameters of Graphs
In this paper, a new type of colouring called J-colouring is introduced. This colouring concept is motivated by the newly introduced invariant called the rainbow neighbourhood number of a graph. The study ponders on maximal colouring opposed to minimum colouring. An upper bound for a connected graph is presented, and a number of explicit results are presented for cycles, complete graphs, wheel graphs and for a complete l-partite graph. 2019, The National Academy of Sciences, India. -
Buying intension of menstrual cups among women in India
Background: In this era of globalization, Menstrual Hygiene Management is to be concerned. However due to increasing menstrual health hygiene practices adopted by women are rapidly changing and are shifting towards healthier and sustainable products in the Indian market. Objectives: This study aims to identify and evaluate the factors effecting the buying intension of menstrual cups and to provide managerial implications in the future. Methods: The data was collected through a questionnaire survey method; Exploratory Factor Analysis was used to bring down the factor focusing on the prominent factor useful for the study. Sample size for the study was 455 where simple random sampling technique was adopted to give every element in the population to give an equal chance. Results: Through Exploratory Factor Analysis, the paper identifies five factors as product awareness, perception, external influence, product features and hygiene. Here, product awareness is the most influential factor when compared to other factor which affects the buying intension of the menstrual cups. Conclusion: The word Menstruation which was backed by religious and cultural beliefs has gone through tremendous change effect. The lack of product awareness and the existing taboos are restricting women to buy menstrual cups. The study highlights the innovations in the menstrual products and also the importance of buying healthier and eco-friendly menstrual products like menstrual cups which are economically and eye catching products among women. 2019 SERSC. -
Monetary policy announcement and stock price behaviour: An event study with respect to India
Monetary policy in a developing country plays a significant role in achieving the objectives of macroeconomic policies. The Central Bank formulates and implements the monetary policy in a country which in turn facilitates the increase in growth rate, manages interest rates, and money supply in the economy. The primary objective of this paper is to test the semi-strong form of Efficient Market Hypothesis in the Indian Stock Market with respect to financial services industry by conducting an event study. The monetary policy announcements made from 11th March 2016 to 30th August 2019 are taken as the events. The event study methodology is conducted on 13 financial service companies listed in NSE Financial Services Index. The Average Abnormal Return (AAR) and Cumulative Average Abnormal Return (CAAR) are estimated using the daily closing price of the sample companies and Nifty. Two sample T-statistics are used to find the significance of the returns generated. The t-values of a majority of AARs and CAARs are significant suggesting that there is a scope for generating abnormal return by the investors on the event of the monetary policy announcement. It is found that the investors are able to earn abnormal profits which indicate that the Indian stock market is not efficient in the semi-strong form due to the slow absorption of information. IJSTR 2020. -
Decoding boomerang hiring: A suggestive framework to improve organizational efficiency
In an ever changing, volatile and dynamic business environment, efforts put by the human resources reflect the organizational efficiency. Organizations should always focus on maintaining smooth relations with the Alumni and Boomerangs as they play a crucial role in the expanding horizons of business. A positive word of mouth also helps in improving the goodwill and image of the company. It will encourage the prospective employees to view the organization in a positive light. Rehiring former employees is one of the mechanisms for recruitment used by a large number of corporations primarily because of the inherent advantage of added experience as well as savings in terms of cost of recruitment and training. The present study attempts to give an overview of Boomerang Hiring, the possible value additions being made in terms of Human Capital and Social Capital on basis of the type of respective organizations they are returning from. Additionally, the perspective of the rehired employee is also presented. The study is further enriched by quoting a few instances from the corporate world. The Rehiring Strategies tailored as per organizational requirements will lead towards holistic growth and development of the entity. 2020 SERSC. -
Developing the assessment questions automatically to determine the cognitive level of the e-learner using NLP techniques
The key objective of the teaching-learning process (TLP) is to impart the knowledge to the learner. In the digital world, the computer-based system emphasis teaching through online mode known as e-learning. The expertise level of the learner in learned subjects can be measured through e-assessment in which multiple choice questions (MCQ) is considered to be an effective one. The assessment questions play the vital role which decides the ability level of a learner. In manual preparation, covering all the topics is difficult and time consumable. Hence, this article proposes a system which automatically generates two different types of question helps to identify the skill level of a learner. First, the MCQ questions with the distractor set are created using named entity recognizer (NER). Further, based on blooms taxonomy the Subjective questions are generated using natural language processing (NLP). The objective of the proposed system is to generate the questions dynamically which helps to reduce the occupation of memory concept. 2020, IGI Global. Copying or distributing in print or electronic forms without written permission of IGI Global is prohibited. -
Conversion of alkynes into 1,2-diketones using HFIP as sacrificial hydrogen donor and DMSO as dihydroxylating agent
A metal-free and hypervalent iodine free conversion of internal alkynes into 1,2-diketo compounds has been described. The efficacy of the present protocol rely on the use of HFIP (1,1,1,3,3,3-Hexafluoro-2-propanol) as reducing agent of alkynes and DMSO as dihydroxylating agent of olefins to acquire the desired chemical transformations. The obtained 1,2-diketones were further transformed into useful derivatives. 2020 Elsevier Ltd -
Potential use of waste foundry sand with lateritic clayey soil in the construction of pavement sub-bases
The current study investigates the potential for use of waste foundry sand (WFS) in highway sub-base construction. Lateritic clayey soil (LCS) and waste foundry sand were combined in different proportions to examine its potential to use as construction material in sub bases. In this research, geotechnical investigation was conducted that is particle size distribution, specific gravity, Atterberg limits, OMC, density, un-soaked and soaked CBR were conducted to evaluate the properties and validity of WFS upon stabilizing with the LCS for usage in construction of sub bases. The study shows that WFS can be effectively used in highway sub-base construction upon stabilizing with the lateritic clayey soils. 2019 SERSC. -
Work life balance among women anganwadi workers in Bengaluru
Over the past few years, worklife balance has evolved into a matter of significant concern. Both men and women strive to achieve a steady professional and personal life. In reality, women are more prone to experiencing such challenges. The paper attempted to understand worklife balance among Anganwadi workers (women-dominant centres). The research focused on the impact of job satisfaction, work overburden, workplace support, family support, and dependent care on the worklife balance of Anganwadi workers. For the purpose of the study, a structured questionnaire was administered to 467 participants. Statistical technique used for the study was regression model. The results indicated that workplace support and family support had a positive impact on the worklife balance among Anganwadi workers. The findings also suggested that work overburden and dependent care had a negative impact on worklife balance. The results also contradicted the hypotheses by portraying that job satisfaction was not a significant factor that impacted the worklife balance among Anganwadi workers. However, many other variables such as emotional intelligence, job autonomy, turnover intention, absenteeism, and work engagement that could potentially impact worklife balance were not taken into consideration. 2020, Associated Management Consultants Pvt. Ltd.. All rights reserved. -
Unveiling the Temporal Properties of MAXI J1820+070 through AstroSat Observations
We present here the results of the first broadband simultaneous spectral and temporal studies of the newly detected black hole binary MAXI J1820+070 as seen by Soft X-ray Telescope and Large Area X-ray Proportional Counter (LAXPC) on board AstroSat. The observed combined spectra in the energy range 0.7-80 keV were well modeled using disk blackbody emission, thermal Comptonization, and a reflection component. The spectral analysis revealed that the source was in its hard spectral state (? = 1.61) with a cool disk (kT in = 0.22 keV). We report the energy dependent time-lag and root mean squared (rms) variability at different frequencies in the energy range 3-80 keV using LAXPC data. We also modeled the flux variability using a single-zone stochastic propagation model to quantify the observed energy dependence of time lag and fractional rms variability, and then compared the results with that of Cygnus X-1. Additionally, we confirm the detection of a quasi-periodic oscillation with the centroid frequency at 47.7 mHz. 2020. The American Astronomical Society. All rights reserved.. -
Camera-based tri-lingual script identification at word level using a combination of SFTA and LBP features
This paper exhibit the identification of scripts at word level from the camera-based multi-script document images. The Camera-based document images suffer from noise while capturing documents and scripts are challenging to identify when noise is present. The scripts like Tamil, Punjabi, English, Oriya, Telugu, Gujarathi, Malayalam, Kannada, Hindi, Bengali, and Urdu combinations considered. The experiment conducted on a large dataset consisting of 77,000-word images and each script has 7000-word images word images. The texture features are combined to get the highest recognition accuracy. The recognition rate is 77.94% and 82.39% from SFTA features and 89.82% and 93.94% from LBP features, by using KNN and SVM classifiers, for combined feature vector KNN has given 94.45%, and SVM has given 93.88% recognition accuracy. 2019 SERSC. -
Moderating effect of social media usage on technology barriers to technology adoption by teachers
The education and learning process is redefined with the mesmerizing impact of ever-volatile technology platforms. With the advent of the Industry 4.0, supported by the intelligent web 3.0 connectivity catalyzed the transformation of traditional education philosophies and pedagogies in tune with the Learning 4.0, to empower both learners and educators as co-producers of knowledge. The researches brought to light that social application platforms became an indispensable part of the digital learning process. The bio-inspired technology designs considerably cast off the issues related to ease of use, perceived usefulness, and reduced the perceived internal barriers of the teachers to improve their Technology Adoption substantially. This Technology Adoption research was conducted under the theoretical framework of the education change model of Michael Fullan integrated with educators Communities of Practice. This descriptive research study framed to address how the teachers Technology Adoption was affected by their use of social media platforms and how it moderated their perceived Technology Barriers. Standardized questionnaires from Joe W. Kotrlik and Donna H. Redmann were adopted with a pilot study. Stratified cluster sampling was used to gather 1029 responses from Higher Secondary School teachers of six educational districts in Kerala. The analysis was done with IBM SPSS v.21 and Process v.3.4. Teachers Social Media Use and Perceived Technology Barriers were significantly correlated with the Technology Adoption of the teachers. The perceived Technology Barriers were reduced with respect to their Social Media Usage. The relation of perceived Technology Barriers with Technology Adoption was significantly moderated with Social Media Use. Gender and school sectors were neither mediated nor moderated Technology Adoption. These results are helpful in the teachers technology training programs and for further research. 2019 SERSC. -
Old and new private sector banks in india: Performance analysis
In the era of globalization and liberalization, a bank has to compete with not only local players and also internationally. It is tough time for Indian banking industry. Banks take various steps to improve the performance and provide best services to customers. Performance of banks refers to the capacity in generating sustainable profitability. Banks need to evaluate the performance and find the strength and weakness by considering important ratios. Researchers have analysed the performance of banks applying various tools and techniques. The present study seeks to assess the financial performance of old and new private sector banks operating in India. One of the models for assessing the performance of banks are CAMEL model. The study was conducted using secondary data. The study covered a period of 10 years and the data collected for study had been analysed using Simple Arithmetic Mean, Coefficient of Variation, Linear Growth Rate, Analysis of Variance (ANOVA) and Ranking for CAMEL model. Under this model, banks have been rated based on five criteria namely, C-Capital Adequacy, A-Asset Quality, M-Management Efficiency, E-Earning Quality and L-Liquidity. This study was conducted on the financial performance of twenty banks consisting of seven new private sector banks and thirteen private sector banks in India. The result has disclosed that various banks have been performing well in different parameters. As per CAMEL model overall ranking, Karur Vysya bank, Federal bank and Tamilnad Mercantile banks have occupied first three spots under the old private sector banks. In the case of the new private sector banks the first three slots have been held by HDFC bank, Kotak Mahindra bank and Yes bank respectively. The estimated ratios have disclosed that the new private sector banks have been enjoying a better financial health than the old private sector banks during the study period. The old private banks have to pay attention to improve the financial performance in the future. 2020 SERSC. -
At the Interface of Colonial Knowing and Unknowing: A Critical Reading of the Golden Camellia in Amitav Ghoshs River of Smoke
This paper is a critical reading of Amitav Ghoshs fictional representation of modes of acquisition, assimilation and dissemination of colonial knowledge in River of Smoke (2012). The paper highlights the cultural exchange of botanical and horticultural knowledge between Europe and China in the nineteenth century narrativized by Ghosh. The novel illustrates the significance of non-Eurocentric modes of conserving knowledge that would otherwise suffer from the violence of utilitarian models of European epistemology. The paper explicates how Ghosh represents the Chinese as successful in ensuring that the Golden Camelliaa rare flowering variety in Chinais preserved from falling prey to the profiteering logic of botanical expeditions and epistemic hegemony by European naturalists. Using Pramod Nayars imperial cosmopolitanism and Robert Proctors agnotology as critical frames, the paper maps Ghoshs fictional representation of Chinese horticulturists using botanical illustration to disable Europeans from accessing the Golden Camellia. By circulating the nonexistence of the plant variety as the truth, the Chinese horticulturalists in the novel prevent the Golden Camellia from being usurped and profiteered by European botanists and plant traders. The paper also establishes how Ghoshs work functions as a significant addition to works foregrounding the South-South connection in the South Asian literary imagination. 2020 South Asian Literary Association. -
Copper Nanoparticles: A Review on Synthesis, Characterization and Applications
An emerging field of science Nanotechnology which is involved in manipulation of atoms and molecules has shown great potential in all fields of sciences. Nanotechnology deals with nanoparticles ranging from size 1 to 100 nm in diameter, due to small size and high surface area eventually increases the state of activity. This review focuses on metal and metal oxide nanoparticles and mainly on green synthesis, characterization and application of copper nanoparticles. Green synthesis of copper and copper oxide (Cu and CuO) is economically beneficial and ecofriendly. Copper nanoparticles are used in diverse fields such as biomedicine, pharmaceuticals, bioremediation, molecular biology, bioengineering, genetic engineering, dye degradation, catalysis, cosmetics and textiles. Structural properties and biological effects of copper nanoparticles have promising effectivity in field of life sciences 2020. All rights reserved. -
Is there spill-over effect among metals?
This paper was aimed at examining the existence of volatility spill-over between precious and industrial metals by estimating Multi-variate GARCH model. Metals chosen for this study were aluminium, copper, gold and silver. Data from 1st march 2004 to 31st March 2018 were used for the analysis. Significant clustering effect was found in the variance of all the metals studied. Significantly strong volatility spill-over was found between aluminium and copper when compared to other metals. It was also noted that the persistence of volatility spill-over between copper and aluminium is the least among other metals. Since there is significant spill-over between aluminium and copper, portfolio managers are advised to avoid investing in them together in their portfolios. 2019 SERSC. -
Theoretical framework of the relationship between emotional intelligence and effective leadership to ensure sustainability
There is little argument about the need for sustainability. Organizations around the world have now understood their role in contributing to the broader goals of, environmental and social sustainability. While financial sustainability of the organization has always been the key purpose. In order to identify, implement and promote sustainable practices, the leadership support is critical. This not only includes the current set of leaders but the future leaders of the organization as well. Thus, there arises a need to identify the key competencies and skills that contribute to effective leadership and to ensure that the training of future leaders focuses on the same. The current paper reviews theories in the area of Leadership and their evolution. Based on the proposition by key theorists in the area of leadership, the proposed theoretical framework links the dimensions of effective leadership to the dimensions of emotional intelligence. The purpose of the study was to establish a theoretical relationship between Emotional Intelligence, Effective leadership and sustainability. The proposed model is based on existing theories in the respective areas and the researchers hope that future research would work to provide empirical evidence for the same. This would ensure that the leadership pipeline is designed to promote the skills required to create and run a sustainable organization. 2020 IJSTR.