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Going Organic: Empirical Study on Awareness of Organic and Aquaponically Grown Vegetables
In a world of constantly changing dynamics of lifestyle and health-culture, it has become necessary for individuals to constantly keep a check on their diet and its contents. Increasing levels of pollution and stress negatively affects both, the health and longevity of an individual. Owing to a decline in average health, more and more people today have started looking for alternatives that could make their diet cleaner and healthier. One such alternative identified is organic produce, which is 100% chemical free, and therefore healthier than conventionally produced food products. However, organic produce is highly expensive, making it less attractive to the masses. Aquaponics, is one such technique of producing organic vegetables in a sustainable manner, thereby reducing its cost. This paper aims to understand the awareness levels of Aquaponics as a technique of organic agriculture. The study performs various tests in order to understand the levels of awareness of Aquaponically grown organic produce within the country. The findings of the study prove that factors such as the prices of organic vegetables, their availability and brand recognition play a major role in influencing the purchase decision made by consumers. On the other hand, factors such as education levels of the consumers or their income levels do not have a major impact on their purchase patterns of organic vegetables. Further analysis revealed that greater awareness about Aquaponics in general, and increased production of organic vegetables through Aquaponics also has a positive impact on the purchase of such vegetables. 2020 International Farm Management Association and Institute of Agricultural Management. -
Child mental health: The role of different attributional styles
Background: High prevalence of mental health issues in the twenty-first century accounts for a lion share in the worldwide burden of disease. There is an alarming decrease in the onset of half of the mental health problems. Hence, it is necessary to explore the current situation and figure out the causes and preventive measures as well as the appropriate mental health enhancement measures. Individual characteristics, such as thinking patterns and perception, have an impact on the mental health. Attributional style is one source of cognitive vulnerability which influences mental health disorders. Therefore, the present study examines whether there are any variations in the mental health of children with different attributional styles. Methods: The current research adopted a cross-sectional research design and selected 150 school going students [74 males and 76 females] between 10-13 years of age as participants. The Child Attributional Style Questionnaire [CASQ], Satisfaction with Life Scale-Children [SWLS-C], Brief Resilience Scale, and Revised Child Anxiety and Depression Scale [RCADS] are used to gather information. Results: The results indicated that children with a pessimistic attributional style experienced more depression and generalized anxiety than children with other two attributional styles. In terms of gender differences in mental health, female students with pessimistic attributional style significantly differed from their counterparts on depression [?2 [2] = 10.131, p = 0.006] and separation anxiety [?2 [2] = 6.456, p = 0.040]. Conclusion: Attributional style seems to have a significant role in depression and anxiety in female children. Although male children did not show any statistically significant results, they were more likely to be pessimistic in terms of their attributional style, which makes them vulnerable to mental health issues. 2020, Indian Association for Child and Adolescent Mental Health. All rights reserved. -
Solar radiative heat-driven Sakiadis flow of a dusty nanoliquid with Brownian motion and an exponential space-based heat source: KooKleinstreuerLi (KKL) model
The advancement of heat transportation is a significant phenomenon in nuclear reactors, solar collectors, heat exchangers, and electronic coolers; and it can be accomplished by choosing ananofluid as the functional fluid. Nanofluids haveimproved thermophysical properties, dueto theirgreat progress in engineering and industrial applications. Therefore here, the significance of exponential space-related heat source (ESHS) on radiative heat motivated Sakiadis two-phase flow over a moving plate is analyzed for a particulate nanoliquid (CuOH2O). The impact of the haphazard motion of nanoparticles is analyzed through the KooKleinstreuerLi model. On applying a similarity transformation to the governing equations, a set of ordinary differential equations is obtained and numerically solved. Through the perception of graphs, the behavior of the velocity and temperature constraints for diverse values of effective parameters is decoded. The results showthat the temperature of both phases (dust and fluid) improves with the ESHS aspect. Also, the heat transport rate/friction factor enhances/declines with the concentration of dust particles. 2020 Wiley Periodicals LLC -
Journeying through the Indian railways in around India in 80 trains (2012) by monisha rajesh and chai, chai: Travels in places where you stop but get never off (2009) by bishwanath ghosh
An Indian train is a space that exemplifies a true sense of transient cultural pattern as it travels through different states of India constantly assimilating people of diverse cultures. In this liminal space, a passenger travels from known to unknown in terms of geography, culture, language, cuisine, sartorial configuration and psychological makeup. Indian Railways offers an insightful analysis of cohabitation - the conflict and the coexistence of people amidst cultural differences.An Indian train is an exemplar of an accurate secular structure, blurring the lines of discrepancies based on religion, caste, gender, sex and sexuality. Prejudices that are evident in spaces relatively marked by certain spatial permanence dilute in a train. A provisional spatial arrangement of a train therefore questions the idea of tolerance and intolerance compared to that of permanent arrangement. As the Indian train incorporates people of all ages and territories, the train is a specimen of the concept of Bakhtinian polyphony, wherein the dialogues occurring between passengers represent varied consciousness. Thus, a train travelogue encompasses unmerged voices, each carrying a unique conscious design. The people travelling in an Indian train are separated on one single ground: economy. Therefore, economic factor becomes an overarching pattern of base to assign a certain culture in a superstructure to each class and each offers a unique perspective to the travelogue. This paper will analyze the trope of the train in two Indian travelogues based on culture, Marxist economic structure, Bakhtinian concept of polyphony, secularism and the idea of tolerance. AesthetixMS 2020. This Open Access article is published under a Creative Commons Attribution Non-Commercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For citation use the DOI. For commercial re-use, please contact editor@rupkatha.com. -
Induced signed graphs of some classes of graphs
A signed graph is a graph with positive or negative signs assigned to edges. An induced signed graph is a signed graph constructed from a given graph according to some pre-defined protocols. An induced signed graph of a graph G is a signed graph in which each edge uv re ceives a sign where : V(G) Z. In this paper, we discuss two types of induced signed graphs and determine the structural properties of these signed graphs such as balancing, clustering, regular-ity and co-regularity. 2020 Jangjeon Research Institute for Mathematical Sciences and Physics. All rights reserved. -
Time series forecasting for understanding potential buyer behavior with ecommerce
Ecommerce is a platform for e-business Companies and hawkers for dynamically responding consumer demand and supply. Furthermore, responses to the consumer include blot-from-blue service with great quality of appurtenances. Moreover, the Indian retail industry is currently ranking in the world's top five concerning the growth. Thus, data is a new oil for this era of digitization. Henceforth, Cluster and distance classifier plays an important role in data-related findings. Besides, the cluster will give an identical pattern of data with the inclusion of centroid for finding out useful information. Furthermore, an already formed identical cluster pattern will be useful for mapping with another cluster. Thus, in this way cluster mapping done. Mapped cluster pattern will be useful in establishing the customer relationship with products. Moreover, it leads to the profitability of the e-commerce platform. Thereafter, cluster mapping is align with the new RFM model for getting more clarity about the consumer-buying pattern. Besides, it helps in identifying the potential buyer consumer. Moreover, time series results obtained are positive for potential buyer behavior. Thus, when time series forecasting is used on the RFM model it gives rise potential buyer loyalty with an e-commerce platform. 2020 Ecological Society of India. All rights reserved. -
A compression system for Unicode files using an enhanced Lzw method
Data compression plays a vital and pivotal role in the process of computing as it helps in space reduction occupied by a file as well as to reduce the time taken to access the file.This work relates to a method for compressing and decompressing a UTF-8 encoded stream of data pertaining to Lempel-Ziv-welch (LZW) method. It is worth to use an exclusive-purpose LZW compression scheme as many applications are utilizing Unicode text. The system of the present work comprises a compression module, configured to compress the Unicode data by creating the dictionary entries in Unicode format. This is accomplished with adaptive characteristic data compression tables built upon the data to be compressed reflecting the characteristics of the most recent input data. The decompression module is configured to decompress the compressed file with the help of unique Unicode character table obtained from the compression module and the encoded output. We can have remarkable gain in compression, wherein the knowledge that we gather from the source is used to explore the decompression process. Universiti Putra Malaysia Press. -
Linear and non-linear analyses of double diffusive chandrasekhar convection with heat and concentration source in micropolar fluid with saturated porous media under gravity modulation
In this paper, linear and non-linear analysis of Double-Diffusive convection in the presence of magnetic field and gravity modulation with heat and concentration source in a micropolar fluid is studied by assuming the strength of heat and concentration source same. The expression for Rayleigh number and correction Rayleigh number are obtained using regular perturbation method. The effects of parameters on heat and mass transport is investigated using non-linear analysis by deriving eighth order Lorenz equation. It is found that coupling parameter and Chandrasekhar number stabilizes the system. Whereas internal Rayleigh number and Darcy number destabilizes the system. 2020 International Association of Engineers. -
Two-phase Sakiadis flow of a nanoliquid with nonlinear Boussinesq approximation and Brownian motion past a vertical plate: Koo-Kleinstreuer-Li model
This paper investigates the Sakiadis flow of a Al2O3-H2O nanoliquid with consistently scattered dust particles over a vertical plate. To account for the effect of the Brownian movement, the Koo-Kleinstreuer-Li model is considered. In some thermal systems such as reactor safety areas, and solar collectors, combustion works from moderate to high temperature, making the relationship between the temperature and density nonlinear. To consider this temperature-dependent density, the nonlinear Boussinesq estimation is utilized. The present physical structure, which includes energy and momentum equations, is converted into a system of ordinary, coupled, and nonlinear differential conditions through the help of similarity transformations. By using the finite difference code, the subsequent equations have been numerically solved. The impact on the velocity and the thermal profiles of the nondimensional parameters is visualized through graphs. Both the Nusselt number and friction factor strengthen with ahigher nonlinear thermal parameter in the case of nonlinear Boussinesq approximation compared to the linear Boussinesq case. Growing estimations of nonlinear thermal parameter deteriorate the thermal profile but it boosts the velocity profile of both liquid and dust phases. 2020 Wiley Periodicals LLC -
Evaluating forces associated with sentient drivers over the purchase intention of organic food products
The study proposes to find out the factors which influence awareness among the consumers towards purchasing organic food product. The study is based on primary data by using tools Chi-square test, Cronbach alpha, KMO, and Bartlett's test, ANOVA, regression, correlation, and cross-tabulation. The study found that awareness driver's nutritional information, price, certification, brand name, and logos have an essential influence on the purchase intention of the product of organic food. However, labeling and food standards do not show a noteworthy rapport between labeling and organic food products' purchase plans. The core commitment and flow to explore are to analyze purchasers with respect to organic guarantee systems (accreditation, guidelines, logo, imprints, and confirmation) so we can distinguish the genuine organic products. The independent factors of awareness like organic buying preference and buying frequency, have a significant influence on the purchase intention of organic food. The research provided evidence of consumer awareness and purchase intention of organic food that would help the organic food industry to promote their products according to the attribute of customers. 2020 Asian Economic and Social Society. All rights reserved. -
The concept of entrepreneurial ability-evidence from women in MSMEs of Karnataka state
The Indian women entrepreneurs have come a long way today from the traditional deep-rooted view of the Indian society and are predominantly found in the MSME sectors of India. To understand their growth and advancements, a proper understanding of their entrepreneurial ability with respect to their performance is of paramount importance. The objective of this study is to explore the factors of women entrepreneurial ability which impacts the successful performance of the women entrepreneurs in MSMEs of Karnataka state in India. A theoretical framework model of entrepreneurial ability developed for the study is tested with a primary data collected through a survey-questionnaire method from a sample size of 427 women entrepreneurs using a random sampling method, factor analysis and Pearson correlations. Overall the results of this study support the contention: the perceived business performances of women entrepreneurs have a significant influence on their entrepreneurial ability. Copyright 2020 Inderscience Enterprises Ltd. -
Skin lesion classification using decision trees and random forest algorithms
Any superficial skin growth that does not resemble the surrounding area is referred to as skin lesion. It can occur in the form of mole, bump, cyst, rash or other changes that can be classified either as primary or secondary lesion. While primary skin lesions correspond to those changes in color or texture, secondary lesions occur as a primary lesion progression. Skin lesion image segmentation and classification at the early stages can help the patients recover through proper medication and treatment. Many algorithms for segmentation and classification are available in the literature but they all fail to extract lesion boundaries perfectly and classify them with more accuracy. To improve the reliability of the skin image segmentation and classification, we propose to use decision trees and random forest algorithms in this works and compare them with different data sets. The proposed method can generate high-resolution feature maps that can help to preserve the spatial details of the image. While tested against the ISIC 2017 and HAM10000 dataset, we found that the proposed method is more accurate as compared to the existing algorithms in this domain and is also very robust to artifacts or hair fibers present in the skin images. 2020, Springer-Verlag GmbH Germany, part of Springer Nature. -
Framework for proactive visualization of text based narrative using NLP
Language is an essential mode, not only for human communicationbut also for thinking. A story is conveyed or a report of an incident is being told, humans perceive the conveyed information in the form of visual insights. The increasing advancements in the field of artificial intelligence can help with the same in machines. This paper reflects on the internalization of stories from a cognitive perspective and outlines a scalable framework for supporting the visualization of narrative text data. This paper leverages natural language processing (NLP), probabilistic modelling of discourse knowledge, information extraction of narrative components (who, where, when, what) and the narrative visualization. The graphics knowledge base storage structure has been redesigned to obviate the necessity of having a larger database for all graphics entity. With the developed framework, any user can input unrestricted natural language for the dynamic generation of animated scenes. This provides users with direct visual output in response to their natural language input. This tool can potentially impact the way humans interact with computers and expand a completely new way of understanding conversations. 2020 IJSTR. -
Injective coloring of complementary prism and generalized complementary prism graphs
The complementary prism Gof a graph G is the graph obtained by drawing edges between the corresponding vertices of a graph G and its complement. In this paper, we generalize the concept of complementary prisms of graphs and determine the injective chromatic number of generalized complementary prisms of graphs. We prove that for any simple graph G of order n, ?i(G ? n and if G is a graph with a universal vertex, then ?i(G = n. 2020 World Scientific Publishing Company. -
A study on prediction of health care data using machine learning
Every clinical-decision relies on the doctors experience and knowledge. Perhaps this conventional practice may look appropriate, but it may lead to unpredictable errors, biases, and maximized costs that may affect QoS (Quality-of-Service) given to patients. To help the doctor to save time, the conventional practice to analyze the data for clinical-decision support has to be updated. Machine Learning (ML) and Data Mining (DM) algorithms have applied to have greater and higher predictions. This paper studies a set of ML algorithms by which clinical-predictions are going to be more appropriate and cost-effective. IJSTR 2020. -
MnO2-Pi on biomass derived porous carbon for electro-catalytic oxidation of pyridyl carbinol
A facile electrochemical oxidation of pyridyl carbinol based on Manganese dioxide-Phosphate (MnO2-Pi) was fabricated by electro-deposition of MnO2-Pi on Porous carbon nanospheres (PCN) modified carbon fiber paper (CFP) electrode. A simple working electrode was developed initially by coating Monkey Pod (MP) derived PCN on carbon fiber paper (CFP) electrode. Voltammetric deposition of MnO2-Pi on PCN/CFP electrode was carried out in an electrolyte containing phosphate buffer and KMnO4. The modified electrodes (PCN/CFP and MnO2-Pi-PCN/CFP) were characterized by different physicochemical methods and electroanalytical techniques like cyclic voltammetry and AC impedance spectroscopy. Inorganic phosphate (Pi) and MnO2 centers present on PCN/CFP electrode plays a major role towards oxidation of pyridyl carbinol electrochemically. The proposed MnO2-Pi-PCN/CFP electrode was effectively applied for the electrochemical oxidation of pyridyl carbinol in TEMPO medium. 2020 The Author(s). -
Influence of employees' perception on the use of flexible work arrangements
The study aims to explore the factors that influence the perception of employees on the usability of flexible work arrangements and to predict whether those factors induce them to opt for such flexible practices. The data was collected from 239 Indian employees working across different sectors of the country. The study employed a quantitative approach for data collection by using a structured questionnaire consisting of close-ended questions. The data was analyzed using factor analysis, binomial logistic regression and Analysis of Variance on SPSS Statistics 25. The study identified five major factors that influenced the employees perception about using flexible work options. Among them two factors namely, FWA perquisites and FWA anxiety were found significant in predicting the employees use of flexible work options. Further, it was found that married employees recognized strong benefits from using flexible options. This study contributes to the existing literature by unveiling the mindset of Indian employees towards flexible work arrangement and suggests that the employers, society and the government should create favorable environment for deploying flexible work practices. 2020 IJSTR. -
Novel quantum inspired approaches for automatic clustering of gray level images using Particle Swarm Optimization, Spider Monkey Optimization and Ageist Spider Monkey Optimization algorithms
This paper is intended to identify the optimal number of clusters automatically from an image dataset using some quantum behaved nature inspired meta-heuristic algorithms. Due to the lack of sufficient information, it is difficult to identify the appropriate number of clusters from a dataset, which has enthused the researchers to solve the problem of automatic clustering and to open up a new era of cluster analysis with the help of several natures inspired meta-heuristic algorithms. In this paper, three quantum inspired meta-heuristic techniques, viz., Quantum Inspired Particle Swarm Optimization (QIPSO), Quantum Inspired Spider Monkey Optimization (QISMO) and Quantum Inspired Ageist Spider Monkey Optimization (QIASMO), have been proposed. A comparison has been outlined between the quantum inspired algorithms with their corresponding classical counterparts. The efficiency of the quantum inspired algorithms has been established over their corresponding classical counterparts with regards to fitness, mean, standard deviation, standard errors of fitness, convergence curves (for benchmarked mathematical functions) and computational time. Finally, the results of two statistical superiority tests, viz., t- test and Friedman test have been provided to prove the superiority of the proposed methods. The superiority of the proposed methods has been established on five publicly available real life image datasets, five Berkeley image datasets of different dimensions and four benchmark mathematical functions both visually and quantitatively. 2019 Elsevier B.V. -
Nexus Between The Carbon Dioxide Emission And Economic Growth: Evidence From India
Increase in economic activities contributes to the economic growth of a country. It is evident that emerging economies have recorded higher economic growth and significant increase in coal consumption, energy consumption and electricity consumption. On the other hand, the emission of greenhouse gases (GHG) generating consequences in the atmosphere. In this context, this study tries to analyse the association between GDP per capita, FDI, population, trade openness and CO2 emissions per capita in India. The study is based on secondary data, which has been collected from the World Bank database. The time period under consideration is from 1960 to 2017. Augmented Dickey Fuller test has been used to test the unit root. VAR lag order criteria have been used for lag selection of the model. Since the variables are integrated at I (1) and I (0), the ARDL model has been used for the purpose of analysis. Furthermore, for checking the stability of the model, the CUSUM test has been used. The results show that in the long run, GDP per capita and FDI has a positive impact on CO2 emission whereas, in the short run coal consumption, FDI, GDP per capita and trade openness appears to have a significant and positive impact towards CO2 emission. 2020 - Kalpana Corporation -
Secure Through Development: Evaluation of Indias Border Area Development Programme
The Border Area Development Programme was initiated in the year 198687, to strengthen Indias security by ensuring developed and secure borders. Initially, the programme was implemented in the western border states to facilitate deployment of the Border Security Force. Later, the geographical and functional scope of the programme was widened to include eastern and northern sectors of Indias borders and as well as socio-economic aspects such as education, health, agriculture and other allied sectors. But, it is difficult to say that the implementation has been uniform in all the sectors. While the programme on the Western front along the IndiaPakistan border has been fairly successful, it is yet to achieve its stated objectives on the Eastern front. Using an analytical framework, the article examines three aspects of BADP: Its context and concept; identifying challenges that hinder the Programmes effectiveness; and certain policy prescriptions. 2019, 2019 Institute for Defence Studies and Analyses.