Identification of misconceptions about corona outbreak using trigrams and weighted TF-IDF model
Coronavirus; Count Vectorizer; COVID-19; K-Nearest Neighbour; Logistic Regression; N-Grams; Nae Bayes; Random Forest; Support Vector Machine; TF-IDF
Misconceptions of a particular issue like health, diseases, politics, government policies, epidemics and pandemics have been a social issue for a number of years, particularly after the advent of social media, and often spread faster than true truth. The engagement with social media like Twitter being one of the most prominent news outlets continuing is a major source of information today, particularly the information distributed around the network. In this paper, the efficacy of Misconception Detection System was tested on Corona Pandemic Dataset extracted from Twitter posts. A Trigram and a weighted TF-IDF Model followed by a supervised classifier were used for categorizing the dataset into two classes: one with misconceptions about COVID-19 virus and the other comprising correct and authenticated information. Trigrams were more reliable as the functional words related to coronavirus appeared more frequently in the corpus created. The proposed system using a combination of trigrams and weighted TF-IDF gave relevant and a normalized score leading to an efficient creation of vector space model and this has yielded good performance results when compared with traditional approaches using Bag of Words and Count Vectorizer technique where the vector space model was created only through word count. 2020, Institute of Advanced Scientific Research, Inc. All rights reserved.
Journal of Advanced Research in Dynamical and Control Systems, Vol-12, No. 5 Special Issue, pp. 524-533.
Institute of Advanced Scientific Research, Inc.
https://doi.org/10.5373/JARDCS/V12SP5/20201788 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090681658&doi=10.5373%2fJARDCS%2fV12SP5%2f20201788&partnerID=40&md5=a1b09996ac6631dbadf79f79486f3628
Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Krishnan B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India
Geopolymer concrete paving blocks made with Recycled Asphalt Pavement (RAP) aggregates towards sustainable urban mobility development
compressive strength; concrete; fly ash; geopolymer; pavers; RAP
Policy makers in India have realized the importance of facility for pedestrians and non- motorized vehicles in an urban infrastructure setup. This has resulted in increased utilization of construction materials like Portland cement and crushed stone, which are not environmentally friendly and sustainable. The current study presents the development of paver blocks for pedestrian facility using different wastes. Geopolymer concrete was synthesized by fly ash and recycled asphalt pavement aggregates for making of paver blocks. Paver blocks were produced in laboratory with recycled asphalt pavement aggregate replacement levels of 0%, 20%, 40%, 60% and 80% by weight of virgin coarse and fine aggregates. The developed paver blocks were tested for dimensions and tolerances, water absorption, compressive strength and abrasion resistance as per IS15658:2006 standard. The results of the laboratory study show that recycled asphalt pavement aggregates can be introduced into geopolymer matrix to produce paver blocks of desirable quality. Furthermore, its use in pedestrian facilities provides a new avenue for managing the excessive waste, which otherwise goes in landfills, incurring loss to the paving industry. Therefore, the proposed method can help decision makers to effectively utilize recycled asphalt pavement in paving industry with environment-friendly approach. 2020 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
Hossiney N.; Sepuri H.K.; Mohan M.K.; Chandra K S.; Lakshmish Kumar S.; Thejas H.K.
Hossiney N., Department of Civil Engineering, Christ (Deemed to Be University), Bangalore, India; Sepuri H.K., School of Engineering and Technology, Christ (Deemed to Be University), Bangalore, India; Mohan M.K., School of Engineering and Technology, Christ (Deemed to Be University), Bangalore, India; Chandra K S., School of Engineering and Technology, Christ (Deemed to Be University), Bangalore, India; Lakshmish Kumar S., School of Engineering and Technology, Christ (Deemed to Be University), Bangalore, India; Thejas H.K., School of Engineering and Technology, Christ (Deemed to Be University), Bangalore, India
Wear characterization of hnt filled glass-epoxy composites using taguchis design of experiments and study of wear morphology
Glass-epoxy; Halloysite nanotube; Micrographs; Sliding wear; Taguchi analysis
Glass-epoxy composites are increasingly being used in several industrial applications, viz. automobile, marine, aerospace, electrical and electronics components, especially in tribological components, viz. bearings, impellers, cams, driving wheels, bolts, nuts, seals, bushes and gears, which are used extensively in machinery because their lower weight, exceptional strength, resistance to corrosion capabilities, and cost effectiveness. The work focuses on optimization of the process parameters of the dry sliding wear test, viz. the applied load, disc rotation speed, weight percentage (wt.%) of the Halloysite nanotube (HNT) filler, time as well as the track diameter to minimize the wear rate of the glass fabric reinforced epoxy composite against EN-32 steel. In this research, the specimens are fabricated in accordance with the ASTM G-99 standard and the experiment is carried out with various combinations of parameters using a pin-on-disc tribometer, while keeping the time and track diameter constant. To proceed further, trial runs are conducted using MINITAB 19 software to optimize the process parameters for minimum wear by developing Taguchis design of experiments (DOE) based on the L45 orthogonal array (OA), and subse-quent analysis of the signal-to-noise (S/N) ratio. The results of the optimization clearly indicate that the wt.% of HNT is the most significant parameter that has a significant effect on minimizing the applied load, speed and sliding wear rate. In over-view, the experiment results showed that the combined parameters influenced the wear. In addition, scanning electron microscopy (SEM) is performed to study the surface morphologies of the worn specimens and determine the wear mechanism in accordance with the test results. The wear mechanism clearly indicates that there is a larger amount of matrix debris, fiber breakage and fiber-matrix debonding in the neat composites as compared to the HNT filled glass-epoxy composites since a distinct pattern of micro coring and segregation of the filler along the peripheries of the glass fiber-epoxy interstitial sites, leading to strong bonding between the fibers and matrix are observed in the HNT filled composites. The strong bonding thus resists the wear to a certain extent, and the wear debris is relatively less in the HNT filled composites as compared to the neat composites. 2020, Polish Society of Composite Materials. All rights reserved.
Ravichandran G.; Rathnakar G.; Santhosh N.; Suresh R.
Composites Theory and Practice, Vol-20, No. 2, pp. 85-91.
Ravichandran G., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, 560074, Karnataka, India; Rathnakar G., Department of Mechanical Engineering, ATME College of Engineering, Mysore, 570028, Karnataka, India; Santhosh N., Department of Mechanical Engineering, VTU-Centre for post-graduation studies, Mysore, 570029, Karnataka, India; Suresh R., Department of Mechanical Engineering, VTU-Centre for post-graduation studies, Mysore, 570029, Karnataka, India
An Energy Efficient Node Scheduling based Congestion Control Scheme for WSN Multicasting
Congestion Control; Energy Efficiency; Node Scheduling; Wireless Sensor Network; WSN Multicast
Wireless Sensor Network (WSN) is the most preferred technology for communication in resource constrained environments. They offer high-quality data propagation with limited delay. Sensor Network can be established with the help of self-configurable nodes to monitor various physical phenomenon. Multicasting in WSN results in low communication control overhead but may lead to congestion, which results in data loss, redundant transmissions, poor throughput and reduced network lifetime. In this paper, we propose a protocol to estimate the Degree of Congestion (CD) at each node to ensure load balance and avoid further congestion within the network. It is demonstrated that the proposed scheme is better compared with existing congestion control schemes in terms of end-to-end delay and energy efficiency. 2020 G. Raja Vikram et al., licensed to EAI
Raja Vikram G.; Shahu Chatrapati K.; Krishna A.V.N.
EAI Endorsed Transactions on Energy Web, Vol-2020, No. 30, pp. 1-6.
Raja Vikram G., Department of CSE, Vignan Institute of Technology & Science, Hyderabad, Telangana, India; Shahu Chatrapati K., Department of CSE, J.N.T.U.H College of Engineering, Manthani, Telangana, India; Krishna A.V.N., Department of CSE, CHRIST (Deemed to be University), Bangalore, Karnataka, India
Nexus Between The Carbon Dioxide Emission And Economic Growth: Evidence From India
C02, JEL classification: C50, 0110, Q56, Q58; Coal consumption; Environment; FDI; GDP
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 C02 emission whereas, in the short run coal consumption, FDI, GDP per capita and trade openness appears to have a significant and positive impact towards C02 emission. 2020 Kalpana Corporation. All Rights Reserved.
Journal of Management Information and Decision Sciences, Vol-40, No. 4, pp. 434-440.
Rajeshwari U.R., CHRIST, Deemed to be University, Department of Economics, Bangalore, 560 029
Effect of compression ratio on performance and emission characteristics of dual spark plug ignition engine fueled with n-butanol as additive fuel
Eco-friendly; Efficiency; N-Butanol; Renewable energy; Tailpipe emission
Renewable energy called normal-butanol is a possible alternative fuel for automobile vehicles like some other possible fuel such as compressed natural gas (CNG), liquid petroleum gas (LPG), ethanol, and methanol. Bio-butanol or normal-butanol is also a meritable energy source to substitute for regular fossil fuels. The normal-butanol has recently started to use as a possible substitute fuel to regular fuels for internal combustion engines to attain eco-friendly and capital benefits. As compared to regular energy sources in internal combustion engines, normal-butanol has some benefits, so it shows the potential to decrease tailpipe emission and an increase in positive network delivery. The current work carried out to investigate the performance and emission characteristics of dual spark plug ignition engine fuelled with normal-butanol as additive fuel by adopting 10:1 and 10.5:1 compression ratios. The experimental results reveal that when compared between 10:1 and 10.5:1 compression ratios, brake power (BP) is increased by 3.5 % and 3.2 % for normal-Butanol 35 (nB35) blend and energy efficiency increased by 2.72 % and 2.14 % for nB35 blend at a part and full load for 10.5:1 compression ratio. The n-butanol create a greater impact on tailpipe emissions that the carbon monoxide (CO) decreased by 32 %, 29 %, and hydrocarbon (HC) reduced by 2.38 % and 2.22 % for nB35 blend at a part and full load condition respectively. The experimental results on dual spark ignition engine using n-butanol as additive fuel by varying compression ratio reveals that n-butanol can be a suitable replacement energy source for the automobile sector in the nearest future. 2021. The Authors. Published by CBIORE.
International Journal of Renewable Energy Development, Vol-10, No. 1, pp. 37-45.
Diponegoro university Indonesia - Center of Biomass and Renewable Energy (CBIORE)
https://doi.org/10.14710/ijred.2021.32364 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85092047738&doi=10.14710%2fijred.2021.32364&partnerID=40&md5=47e7b4391f814e4a781ac0878a40ffc7
Ravikumar R., Department of Mechanical and Automobile Engineering, SoET, CHRIST (Deemed to be University), Bangalore, India; Joseph A.A., Department of Mechanical Engineering, Mangalore Marine College and Technology, Mangalore, India
Statistical analysis of stagnation-point heat flow in Williamson fluid with viscous dissipation and exponential heat source effects
exponential heat source; probable error; regression analysis; stagnation-point flow; viscous dissipation; Williamson fluid
This analysis explores the effect of the novel exponential space-dependent heat generation factor on the stagnation-point Williamson fluid flow over a stretchable surface. The heat transport phenomenon is carried out by the addition of viscous and Ohmic dissipations. Similarity transformations are applied to the nonlinear system of partial differential expressions that arise by the flow. The nonlinear ordinary differential system hence obtained is solved to visualize the role of different constraints graphically. Statistical methods such as correlation, probable error, and regression are utilized. The probable error is evaluated to calculate the reliability of the computed correlation factors. The study reveals that the velocity phenomenon is reduced by incrementing the Weissenberg parameter. The velocity of the hydromagnetic liquid is lesser than the velocity of magnetohydrodynamic fluid flow. Also, the higher heat generation factor gives a boost to the temperature of the flowing material. 2020 Wiley Periodicals LLC
Mahanthesh B.; Mackolil J.; Shehzad S.A.
https://doi.org/10.1002/htj.21842 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096196680&doi=10.1002%2fhtj.21842&partnerID=40&md5=19c6d5609923d0ff828c7954bbb5efe8
Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Mackolil J., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, India; Shehzad S.A., Department of Mathematics, COMSATS University Islamabad, Sahiwal, Pakistan
Nouveau shoppers buying behavior pattern and perception towards luxury brands
Buying behaviour; Luxury brands; Shopping malls
The customer perception towards purchasing luxury brands has various psychological patterns and the behviour towards purchasing such brands differs accordingly. The main objective of the study is to map the nouveau shoppers mind-set towards shopping malls and to analyze the buying behavior pattern and perception towards luxury brand on shopping malls. For this purpose a sample of 130 was collected from the respondents were percentage analysis, descriptive statistics, Kruskall Wallis test and Oneway anova were used as tools to analye the data. The conclusion is that shopping malls have higher potentiality to pull the customers to visit their places but the conversion of making every customers purchasing in the mall is based on various factors of each individual shops. The conversion towards making the consumers purchasing the products can be done to attractive displays and understanding the mindset of modern shoppers towards various products and brand. 2020 Webology Center.
https://doi.org/10.14704/WEB/V17I1/WEB17004 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089507496&doi=10.14704%2fWEB%2fV17I1%2fWEB17004&partnerID=40&md5=dc9f6a76f54e4d83501fa6698da88fae
Kavitha R., Department of Commerce, CHRIST (Deemed to be University), Bangalore, India
Analysis of indias trade patterns and trade possibilities with the european union
Bilateral Trade and Investment Agreement; Free Trade Agreements; Gravity Model; India-EU Trade; Pattern of trade; Regional Trade Interdependence Indicators
Trade has played a crucial role in the emergence of developing econo-mies. The global emergence of India is also linked to its role in global trade. In this context, the European Union and India initiated talks for a free trade agreement known as the Bilateral Trade and Investment Agreement (BTIA). However, this agreement has failed to materialise due to various challenges and disputes. Against this backdrop, the present study attempts to trace the existing pattern of trade relations between India and the EU and provide a preliminary analysis of the nature of trade in this proposed region. A modified gravity equation and indicators of regional trade interdependence have been estimat-ed. The results indicate that trade within this region is in line with cer-tain predictions of the gravity model. Additionally, it also indicates that such an agreement has little potential for expanding trade and might even result in unnatural trade. Thus, it provides evidence for the argu-ment that India can benefit from developing ties with similar emerging economies in the Asia-Pacific neighbourhood. 2020, WSB University. All rights reserved.
Loganathan S.; Karakunnel J.J.; Victor V.
Forum Scientiae Oeconomia, Vol-8, No. 4, pp. 5-25.
https://doi.org/10.23762/FSO_VOL8_NO4_1 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102694716&doi=10.23762%2fFSO_VOL8_NO4_1&partnerID=40&md5=35a6bcd7e9ab89734d1e221a89a043f5
Loganathan S., Department of Economics, Christ University, Bangalore, India; Karakunnel J.J., Department of Economics, Christ University, Bangalore, India; Victor V., Department of Economics, Christ University, Bangalore, India
Enhanced AIS Based Intrusion Detection System Using Natural Killer Cells
AIS; anomaly detection; IDS; Intrusion; natural killer cells
Intrusion detection system is used to monitor the system and network activities to identify anomalies and attacks so that integrity, availability, and confidentiality can be preserved. Here an intrusion detection system based on Artificial Immune System is proposed based on Natural Killer (NK) cells with immunological memory. NK cells are created and each NK cells detection radius is determined using the negative selection algorithm and is trained to detect various attacks. Effective cells with high fairness values are proliferated and distributed to the network using clonal selection algorithm. In this paper, two types of NK cell are used-a Heavyweight NK cell (HWNK) and a number of Lightweight NK cells (LWNK). The incoming data is vectorized and Major Histocompatibility Complex Class I (MHC1) is created. Then based on this MHC1, any of the receptors i.e. Activating Receptor or Inhibiting Receptor is activated. If it is the signature of an attack, Activating Receptor is activated. Activating receptor activation results in either cytokine release or apoptosis. Here cytokine release means an alarm is generated informing the administrator and apoptosis stands for dropping of the packet. If Inhibiting Receptor is activated, it's a normal packet there is no action taken. The technique proposed yields high accuracy, better detection rate and quick response time. 2020 River Publishers. All Rights Reserved.
Journal of Cyber Security and Mobility, Vol-9, No. 4, pp. 515-534.
https://doi.org/10.13052/jcsm2245-1439.942 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85101229415&doi=10.13052%2fjcsm2245-1439.942&partnerID=40&md5=b1a95e6e267fa550b218b92cbcf63e07
Bejoy B.J., Department of CSE, Christ (Deemed to be University), India; Janakiraman S., Department of Banking Technology, Pondicherry University, India
Young adults socialization in housing and real estate purchase decisions in India
Family decision-making; Gratification; Housing and real estate; Product involvement; Symbol; Young adults socialization
Purpose: The purpose of this paper is to understand the influence of young adults socialization and product involvement on family housing and real estate purchase decision-making process. While previous studies have used these constructs in the fast-moving commercial goods category, this paper is considering the real estate family purchase decision as the core point of research and analysis. Design/methodology/approach: Data were collected from 429 young working adults across various sectors in India. The proposed conceptual framework is tested using structural equation modeling. Findings: The findings suggest that the teenagers with high social life have a better say in the decision-making process. It was also found that the young adults product involvement (measured in terms of gratification and symbol) construct shows how involved they are with the final decision-making in a family. The results suggested that the more young adult socializes, the more voice he has in the family housing and real estate decision-making process. Originality/value: This paper is the first to analyze the role of teenage socialization and product involvement on family housing and real estate purchase decision-making process. This paper will be practicable to all the stakeholders of the housing industry as a whole. 2020, Emerald Publishing Limited.
International Journal of Housing Markets and Analysis, Vol-14, No. 4, pp. 701-719.
https://doi.org/10.1108/IJHMA-04-2020-0042 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85095704667&doi=10.1108%2fIJHMA-04-2020-0042&partnerID=40&md5=ca543a815aa97e355b7f6de8eae9ff77
John S.S., Institute of Management, CHRIST University Pune Campus, Lavasa, India; Balapure C., Institute of Management, CHRIST University Pune Campus, Lavasa, India; Godwin B.J., Institute of Management, CHRIST University Pune Campus, Lavasa, India
Women's empowerment through the silk industry of Assam, India, and its underlying economy
Anti-bacterial; Anti-fungal; Assam; Castor oil; Eri; Handloom; Handmade; Hypoallergenic; Kamrup; Koch dynasty; Muga; Pat; Sericin; Uninflammable; Women's empowerment
In the medieval era, the Royal families of Assam, India produced Muga silk fabrics. During the time of the Koch Dynasty (Historical Koch Country), Muga silk from ancient Pragjyotishpur and Koch Behar became an integral part of the trade with Bengal, Bhutan, Tibet, and the Mughals. Most households in Assam weave cloth and every girl child in the household acquires weaving skills at a very young age from her mother. In Sualkuchi, a town in Assam, there are approximately 6,872 female weavers. These weavers are very concerned about the preservation of traditional handloom weaving as they feel that over time the skills required for this could disappear. They feel that they are unable to work as efficiently in their old age as they had in their youth. The automated machine seems to be a sign of hope for them, but at the same time, they have a strong attachment to the traditional handlooms. Quite recently, the traders have started procuring traditional garments manufactured from cloth made by automated machines. This is a threat to the local weavers since these garments are sold at a lower price, and this poses a challenge to the traditional handloom fabrics of Assam. A sustainable model needs to be incorporated to improve the conditions of the local weavers. The introduction of modern techniques and business strategies will help to empower the weavers. Muga is a noninflammable, anti-bacterial, natural, lustrous gold fabric which absorbs UV rays from sunlight. Pat silk is hypoallergenic, and it contains sericin, which reduces allergic reactions in the skin. Eri is antifungal, and this makes it a unique fabric for face masks, baby clothes, undergarments, blankets, quilts, medical uses, mosquito nets or special attire to protect one from UV rays, fungus, bacteria, and insects. The full range of the unique qualities of the fabrics of Assam should be widely publicized to increase the consumer demand for these handlooms. The area also has the potential to make castor oil out of the castor plant (Ricinus Communis Linn), which is a fed to the Eri Silkworm. 2020 Journal of International Women's Studies.
Journal of International Women's Studies, Vol-21, No. 5, pp. 9-31.
Singha R., CHRIST Deemed to be University, India; Singha S., CHRIST Deemed to be University, India, Kristu Jayanti College (Autonomous), India
Experimental analysis of biofuel produced from fat derivatives of bird and animal as an additive fuel in CI engine
Calorific value; Catalyst; Pig tallow; Trans-esterification; Waste chicken skin
In the present work, an alternative form of biofuel for the Compression Ignition (CI) Engine is generated from inedible disposable chicken skin and pig tallow. The collected resources are heated up to 80C to extract fat and subjected to a trans-esterification process to obtain biofuel. The process resulted in 730ml and 950ml of high viscous biofuel from 1000ml of fat from waste chicken skin (WCS) and pig tallow (PT) respectively. The pure biofuels from WCS and PT have 38.07% and 41.68% higher viscous than diesel. The obtained biofuel is blended with diesel at 10, 20, and 30% by volume. The thermal, physical, and chemical properties of blended fuel are determined and found closer to the diesel properties. The engine tests indicate that the brake power of the B30 blend was decreased by 15.78% while the B10 combination produces 11.02% less power as compared to diesel at full load. The efficiency was reduced by 22.15, 7.59 % for B30, and B10 respectively at full load condition. About 3.9% and 34% of reduction in NOx, 22.5%, 27.5% of reduction in HC emission were recorded for respective blends at the same operating condition. This paper emphasizes on deriving value-added products from waste resources and its effective utilization. The findings from work indicate that the derived biofuel could be used in combination with diesel for the adequate partial replacement of diesel in CI engines without any significant alterations. 2020 International Journal of Renewable Energy Research.
Ravikumar R.; Kiran K.; Gurumoorthy S.H.
International Journal of Renewable Energy Research, Vol-10, No. 3, pp. 1226-1233.
International Journal of Renewable Energy Research
Ravikumar R., Department of Mechanical and Automobile Engineering, SoET, CHRIST (Deemed to be University), Bangalore, India; Kiran K., Department of Mechanical and Automobile Engineering, SoET, CHRIST (Deemed to be University), Bangalore, India; Gurumoorthy S.H., Department of Mechanical and Automobile Engineering, SoET, CHRIST (Deemed to be University), Bangalore, India
A two-stepped feature engineering process for topic modeling using batchwise LDA with stochastic variational inference model
Feature engineering; Feature engineering; Hierarchical dirichlet process; Latent dirichlet allocation; Latent semantic analysis; Sentiment analysis; Stochastic variational inference; Topic modeling; Vector space model
Online ratings and customer feedback on hotel booking websites support the decision-making process of the customer as the reviews provide a deeper understanding about all aspects of a hotel. Consequently, review and rating analyses are of great interest to consumers and hotel owners for the hotel related social media services. The key challenge, however, is to make the wide variety of information accessible in a simple, fast and relevant way and the solution is Topic Modelling and Opinion Mining. Common approaches like Latent Semantic Analysis (LSA) and Hierarchical Dirichlet Process (HDP) have order affects. If the input dataset is shuffled then different topics are generated leading to misleading results. To overcome this, a two-stepped feature engineering process is used: first step is to use a TF-IDF with modified trigrams calculation followed by the second step in removing weak features from the corpus thereby reducing the dimensionality of the Vector Space Model (SVM) for efficient Topic Modeling and sentiment analysis of the considered corpus. Sentiment score is calculated using VADER tool and Topic Modeling is done with Batch Wise Latent Dirichlet Allocation (LDA) using Stochastic Variational Inference (SVI) model. The modified trigrams included calculation of probabilities of words not only in the backward direction but also the probability calculation of the next two words of the target word thereby retaining its context information. The proposed method using Batchwise LDA with SVI along with two-stepped feature engineering process considerably improved its performance when compared to LSA and HDP models due to the fact of identifying hidden and relevant topics in terms of their optimized posterior distribution in hotel reviews dataset. The Batchwise LDA with SVI improved its performance by 3% in terms of its coherence values by using two-stepped feature engineering process and by 9% and 4% increase when compared with LSA and HDP models respectively. 2020, Intelligent Network and Systems Society.
International Journal of Intelligent Engineering and Systems, Vol-13, No. 4, pp. 333-345.
https://doi.org/10.22266/IJIES2020.0831.29 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089491901&doi=10.22266%2fIJIES2020.0831.29&partnerID=40&md5=eb171c5da699c51d12106aedd99ea9d4
Tracking the transmission channels of fiscal deficit and food inflation linkages: A structural var approach
This empirical analysis aspired to unearth the transmission channels of fiscal deficit and food inflation linkages in the Indian perspective by reasonably exerting the data for 1991 to 2017. The precise results of structural vector autoregressive (SVAR) analysis proffered that there were three different mechanisms of transmission such as consumption, general inflation, and import channels that led to food inflation in response to the high fiscal deficit. The first channel revealed that government deficit spending had a positive impact on income which further led to food inflation through surging the household consumption expenditure. It was concluded that fiscal deficit passed through general inflation finally leading to a food price surge in the economy and seemed to work as cost-push inflation for the food and agricultural industry. The outcome also revealed that the impact of fiscal deficit passed to food inflation through external linkages such as import and export. 2020 The Society of Economics and Development, except certain content provided by third parties.
Indian Journal of Economics and Development, Vol-16, No. 2, pp. 165-172.
The Society of Economics and Development
https://doi.org/10.35716/IJED/19129 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111100992&doi=10.35716%2fIJED%2f19129&partnerID=40&md5=fe20d54f8b042a1e88d8ea7fc18c5336
Mishra A., Department of Economics, CHRIST (Deemed to be University), Delhi NCR Campus, Marium Nagar, Ghaziabad Uttar Pradesh, 201003, India
Polarity detection on real-time news data using opinion mining
Fake news detection; LDA; Polarity detection; Sentiment analysis
Sentimental Analysis or Opinion Mining plays a vital role in the experimentation field that determines the users opinions, emotions and sentiments concealing a text. News on the Internet is becoming vast, and it is drawing attention and has reached the point of adequately affecting political and social realities. The popular way of checking online content, i.e. manual knowledge-based on the facts, is practically impossible because of the enormous amount of data that has now generated online. The issue can address by using Machine Learning Algorithms and Artificial Intelligence. One of the Machine Learning techniques used in this is Naive Bayes classifier. In this paper, the polarity of the news article determined whether the given news article is a positive, negative or neutral Naive Bayes Classifier, which works well with NLP (Natural Language problems) used for many purposes. It is a family of probabilistic algorithms that used to identify a word from a given text. In this, we calculate the probability of each word in a given text. Using Bayes theorem, they are getting the probabilities based on the given conditions. Topic Modeling is analytical modelling for finding the abstract of topics from a cluster of documents. Latent Dirichlet Allocation (LDA) is a topic model is used to classify the text in a given document to a specified topic. The news article is classified as positive or negative or neutral using Naive Bayes classifier by calculating the probabilities of each word from a given news article. By using topic modelling (LDA), topics of articles are detected and record data separately. The calculation of the overall sentiment of a chosen topic from different newspapers from previously recorded data done. 2020 The authors and IOS Press.
Prathap B.R.; Sujatha A.K.; Yadav C.B.S.; Mounika M.
Advances in Parallel Computing, Vol-37, pp. 90-97.
https://doi.org/10.3233/APC200124 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096670392&doi=10.3233%2fAPC200124&partnerID=40&md5=8801a83d06ee59a2cc09347fd68fcce2
Prathap B.R., CHRIST (Deemed to be University), Bangalore, Karnataka, India; Sujatha A.K., CHRIST (Deemed to be University), Bangalore, Karnataka, India; Yadav C.B.S., CHRIST (Deemed to be University), Bangalore, Karnataka, India; Mounika M., CHRIST (Deemed to be University), Bangalore, Karnataka, India
Going Organic: Empirical Study on Awareness of Organic and Aquaponically Grown Vegetables
aquaponics; awareness; organic; proximity; purchase pattern
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.
Sanghvi A.; Thiyageswaran R.; Raghavendra A.N.
International Journal of Agricultural Management, Vol-9, pp. 70-78.
https://doi.org/10.5836/ijam/2020-09-70 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85102528499&doi=10.5836%2fijam%2f2020-09-70&partnerID=40&md5=cc567cb2021742770f7daee6214cba67
Sanghvi A., Department of Management Studies, CHRIST (Deemed to be University), Bangalore, India; Thiyageswaran R., Department of Management Studies, CHRIST (Deemed to be University), Bangalore, India; Raghavendra A.N., Department of Management Studies, CHRIST (Deemed to be University), Bangalore, India
Child mental health: The role of different attributional styles
Anxiety; Attributional style; Depression; Mental health; Resilience; Satisfaction with life
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.
Journal of Indian Association for Child and Adolescent Mental Health, Vol-16, No. 1, pp. 33-48.
Indian Association for Child and Adolescent Mental Health
Dmello Z., Department of Psychology, CHRIST [Deemed to be] University, Bengaluru, Karnataka, India; Thomas S., Department of Psychology, CHRIST [Deemed to be] University, Bengaluru, Karnataka, India
Solar radiative heat-driven Sakiadis flow of a dusty nanoliquid with Brownian motion and an exponential space-based heat source: KooKleinstreuerLi (KKL) model
Brownian motion; dusty fluid; exponential space-related heat source parameter; KKL model; nanoliquid; nanoparticles; thermal radiation
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
Radhika M.; Mahanthesh B.; Siddabasappa; Thriveni K.
https://doi.org/10.1002/htj.21925 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096163680&doi=10.1002%2fhtj.21925&partnerID=40&md5=faad0b13476bd9df3e515e24f1a9c135
Radhika M., Department of Mathematics, Government First Grade College, Kolar Gold Field, Karnataka, India; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Siddabasappa, Department of Mathematics, Government Science College, Bengaluru, Karnataka, India; Thriveni K., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, Karnataka, India
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
Indian trains; Liminality; Polyphony; Secularism; Travelogue
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.
Rupkatha Journal on Interdisciplinary Studies in Humanities, Vol-12, No. 3, pp. 320-328.
https://doi.org/10.21659/RUPKATHA.V12N3.38 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090472621&doi=10.21659%2fRUPKATHA.V12N3.38&partnerID=40&md5=abc7cf51cd17723e00618ef50b488475
Dubey S., CHRIST (Deemed to be University), Delhi NCR, India