Attenuation parameters of polyvinyl alcohol-tungsten oxide composites at the photon energies 5.895, 6.490, 59.54 and 662 keV
mass attenuation coefficient; radiation shielding; tungsten filled polyvinyl alcohol composite
The growing demand for lightweight, non-toxic and effective X-A nd ?-ray shielding materials in various fields has led to the exploration of various polymer composites for shielding applications. In this study, tungsten filled polyvinyl alcohol (PVA) composites of varying WO3 concentrations (0-50 wt%) were prepared by solution cast technique. The structural, morphological, and thermal properties of the prepared composite films were studied using X-ray diffraction technique (XRD), Scanning electron microscopy (SEM) and Thermogravimetric analysis (TGA). The AC conductivity studies showed the low conductivity property of the composites. The X-ray (5.895 and 6.490 keV) and ?-ray (59.54 and 662 keV) attenuation studies performed using CdTe and NaI(Tl) detector spectrometers revealed a noticeable increase in shielding efficiency with increase in filler wt%. The effective atomic number (Zeff) calculated by the direct method agreed with the values obtained using Auto-Zeff software. The % heaviness showed that tungsten filled polyvinyl alcohol composites are lighter than traditional shielding materials. 2020 M V Muthamma et al., published by Sciendo 2020.
Muthamma M.V.; Gudennavar B.S.; Gudennavar S.B.
Polish Journal of Medical Physics and Engineering, Vol-26, No. 2, pp. 77-85.
https://doi.org/10.2478/pjmpe-2020-0009 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090297228&doi=10.2478%2fpjmpe-2020-0009&partnerID=40&md5=c12f9e39d6b38e0bd3b8d25a498d5766
Muthamma M.V., Department of Physics and Electronics, Christ, Deemed to Be University, Bangalore Central Campus, Karnataka, Bengaluru, 560029, India; Gudennavar B.S., Department of Physics and Electronics, Christ, Deemed to Be University, Bangalore Central Campus, Karnataka, Bengaluru, 560029, India; Gudennavar S.B., Department of Physics and Electronics, Christ, Deemed to Be University, Bangalore Central Campus, Karnataka, Bengaluru, 560029, India
Phytochemical analysis and antioxidant activity of leaf extracts of some selected plants of the family acanthaceae
Antioxidant; DPPH; Ethnopharmacology; Phytochemistry; Quantitative analysis
The present era of scientific research has witnessed an enumerable amount of evidences to showcase the immense potential of medicinal plants. In the present investigation, the phytochemical analysis of Phlogacanthus pubinervius T. Anderson., Adhatoda vasica (L.) Nees,Phlogacanthus thyrsiflorus Nees, Phlogacanthus curviflorus (Wall.) Nees, and Ruellia tuberosa L. was carried out for the different plants extracted with methanol. Analysis was carried out to estimate the quantity of phenols, carbohydrates, tannins, flavonoids and proteins. The antioxidant property of these plants were analysed using DPPH method. The concentration of the plant samples required to decrease the DPPH concentration by 50% was calculated by interpolation from linear regression analysis and denoted IC50 value (g/ml). The qualitative analysis showed the presence of alkaloids, tannins, saponins, proteins, carbohydrate and phenols in all the sample extracts. The highest amount of tannins and phenols was observed in P. thyrsiflorus. P. pubinervius (77.83%), A. vasica (74.81%), P. curviflorus (94.20%), and R. tuberosa (70.78%) which showed highest antioxidant activity of DPPH-scavenging at 150 g/ml of methanol extract. The high percent of scavenging activities of those plants add value to their medicinal properties. The presence of the high amount of phytochemical compounds suggests that the plants have high amount of medicinal compounds and can be extensively used to extract the natural compounds. Kripasana & Xavier (2020). This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited (https://creativecommons.org/licenses/by/4.0/).
Plant Science Today, Vol-7, No. 2, pp. 264-274.
https://doi.org/10.14719/PST.2020.7.2.717 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087460493&doi=10.14719%2fPST.2020.7.2.717&partnerID=40&md5=bb622789b022be6b8d3be88a2cc1ce77
Kripasana K., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560 029, India; Xavier J., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560 029, India
A comprehensive novel model for network speech anomaly detection system using deep learning approach
Attack classification; Deep learning; Network intrusion detection system
Network Intrusion Detection System (NIDS) is the key technology for information security, and it plays significant role for classifying various attacks in the networks accurately. An NIDS gains an understanding of normal and anomalous behavior by examining the network traffic and can identify unknown and new attacks. Analyzing and Identifying unfamiliar attacks are one of the big challenges in Network IDS research. A huge response has been given to deep learning over the past several years and novelty in deep learning techniques are also improved regularly. Deep learning based Network Intrusion Detection approach is highly essential for improved performance. Nowadays, Machine learning algorithms made a revolution in the area of human computer interaction and achieved significant advancement in imitating human brain exactly. Convolutional Neural Network (CNN) is a powerful learning algorithm in deep learning model for improving the machine learning ability in order to achieve high attack classification accuracy and low false alarm rate. In this article, an overview of deep learning methodologies for commonly used NIDS such as Auto Encoder (AE), Deep Belief Network (DBN), Deep Neural Network (DNN), Restricted Boltzmann Machine (RBN). Moreover, the article introduces the most recent work on network anomaly detection using deep learning techniques for better understanding to choose appropriate method while implementing NIDS through widespread literature analysis. The experimental results designate that the accuracy, false alarm rate, and timeliness of the proposed CNN-NIDS model are superior than the traditional algorithms. 2020, Springer Science+Business Media, LLC, part of Springer Nature.
Manimaran A.; Chandramohan D.; Shrinivas S.G.; Arulkumar N.
International Journal of Speech Technology, Vol-23, No. 2, pp. 305-313.
Manimaran A., Department of Computer Applications, Madanapalle Institute of Technology & Science, Madanapalle, India; Chandramohan D., Department of Computer Science & Engineering, Madanapalle Institute of Technology & Science, Madanapalle, India; Shrinivas S.G., Department of Computer Applications, Madanapalle Institute of Technology & Science, Madanapalle, India; Arulkumar N., Department of Computer Science, Christ (Deemed to be University), Bangalore, India
Alkali-activated concrete paver blocks made with recycled asphalt pavement (RAP) aggregates
Alkali-activated; Concrete; Pavers; RAP; Strength
This study was conducted to evaluate the feasibility of using recycled asphalt pavement (RAP) aggregates in alkali-activated concrete paver blocks. Due to drastic growth in road expansion projects in India, there is tremendous amount of RAP generated by milling and digging of existing bituminous roads. Even though RAP gets recycled in new bituminous roads, there is still large volume of this material that gets downgraded, especially in urban areas. Therefore, there is a need to effectively utilize the unused RAP in paving industry. Alkali-activated paver blocks were synthesized with fly ash (FLA), ground granulated blast furnace slag (GGBS), NaOH sol., Na2SiO3 sol., RAP and natural aggregates. Natural aggregates were substituted with RAP aggregates at replacement rates of 0 %, 25 %, 50 %, and 75 % by weight. The developed paver blocks were tested for water absorption, compressive strength, and abrasion resistance according to IS 15658: 2006 standard. The results of the laboratory study showed that inclusion of RAP aggregates in alkali-activated concrete reduce the compressive strength and abrasion resistance of the paver blocks. Though there is reduction in strength, developed paver blocks classified for use in pedestrian and non-motorized facility. The study also found that the use of RAP aggregates in paver blocks incur economic benefits. A maximum reduction of 25.8 % in production cost was observed for RAP inclusive alkali-activated paver blocks. Furthermore, the proposed method provides environmental benefits by reducing consumption of Portland cement and natural aggregates from quarries, and thus makes paving industry more sustainable and environment friendly. 2019 The Authors
Hossiney N.; Sepuri H.K.; Mohan M.K.; H R A.; Govindaraju S.; Chyne J.
Case Studies in Construction Materials, Vol-12
https://doi.org/10.1016/j.cscm.2019.e00322 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076540071&doi=10.1016%2fj.cscm.2019.e00322&partnerID=40&md5=1c343306cd4240e48ba0dfb1dd8fd4a3
Hossiney N., Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Sepuri H.K., Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Mohan M.K., Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; H R A., Department of Civil Engineering, R V College of Engineering, Visvesvaraya Technological University, India; Govindaraju S., Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Chyne J., Faculty of Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India
Investigation of launch power and regenerator placement effect on the design of mixed-line-rate (MLR) optical WDM networks
Launch power; MILP; Mixed line rate; Optical WDM network design; Physical layer impairments; Regenerator
In recent years, owing to the consistent increase in volume and heterogeneity of the traffic, telecommunication networks have undergone significant innovations. Existing studies have shown that, by adopting a mixed-line-rate (MLR) strategy, wavelength division multiplexed (WDM) optical networks can cost-effectively respond to the diverse variety of traffic requirements which have heterogeneous service demands. However, due to the existence of physical layer impairments [specifically cross-phase modulation (XPM)], adjacent channels on different line rates may exhibit serious degradation of signal quality and optical reach. In such cases, launch power governs the bit-error rate as it affects both the signal and the noise power due to XPM. Therefore, an intelligent choice of launch power on different line rates can significantly reduce the network cost. Further, in MLR optical networks, trade-off between regenerator placement and the launch power attains importance and needs to be addressed. In this work, we investigate the launch power and regenerator placement effect on the design of a MLR WDM optical network. The obtained simulation results show that the network cost is (i) mainly controlled by power values of the 10/100/400 Gbps channels, and (ii) decreases for a cost model in which, compared to 10G transponders, high-bit-rate transponders have higher cost decay. Further, with a lower cost model, it is found that more numbers of regenerators can be deployed, simultaneously minimizing the network cost. 2017, Springer Science+Business Media New York.
Photonic Network Communications, Vol-40, No. 1, pp. 14-30.
https://doi.org/10.1007/s11107-017-0714-z https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020063715&doi=10.1007%2fs11107-017-0714-z&partnerID=40&md5=e233ea03e409ad503fea5d19d1ab1cd7
Iyer S., Department of Electronics and Communication Engineering, Christ University Faculty of Engineering, Mysore Road, Bangalore, 560060, India; Singh S.P., Division of ECE, Netaji Subhas Institute of Technology, Azad Hind Fauj Marg, Sector-3, Dwarka, New Delhi, 110078, India
A Study on the Effect of Canny Edge Detection on Downscaled Images
Canny Edge detection; Gaussian blur; image interpolation; structural similarity index method
Abstract: Nowadays user devices such as phones, tablets etc. allows processing the images with help of high-end applications and softwares developed. Most of the times, the images are downscaled to make them compatible with these end devices. This leads to the loss of image quality. This loss of information on downscaling an image results in distortion of edges and while zoomed in results into a blurred image. As the edge detection is a basic step for many image processing applications such as object detection, object segmentation, object recognition, etc. It is necessary to know the impact of edge detection on downscaled image. In this paper, we are using Canny Edge detection method to detect the edges. The original images are downscaled using different interpolation methods. Canny Edge detection is applied on original images and downscaled images to compare the distortion in the edges. We used Structural Similarity Index Method for comparison. We are also comparing execution time taken by Canny Edge Detection on different interpolation methods to check for optimal interpolation method. We observed that the distortion in edges and time efficiency differ for different interpolation methods which are detailed below in the result section. As blurring is also a disadvantage of downscaling, we are applying Gaussian Blur on the images to compare the blurring due to Gaussian blur technique and blurring due to downscaling. 2020, Pleiades Publishing, Ltd.
Kim Y.W.; Innila Rose J.; Krishna A.V.N.
Pattern Recognition and Image Analysis, Vol-30, No. 3, pp. 372-381.
Kim Y.W., Centre for Digital Innovation, CHRIST (Deemed to be University), Mysore Road, Bangalore, Kumbalgodu, India; Innila Rose J., Centre for Digital Innovation, CHRIST (Deemed to be University), Mysore Road, Bangalore, Kumbalgodu, India; Krishna A.V.N., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Mysore Road, Bangalore, Kumbalgodu, India
A New Series Solution Applicable to a Class of Boundary Layer Equations with Exponential Decay in Solution
Exponential decay; FalknerSkan-type equation; Series solution; Shooting method; Stretching sheet
A new series solution for the coupled nonlinear boundary value problem (BVP) of the FalknerSkan-type, resulting from the use of the boundary layer approximation to a mixed convective flow is obtained. The solution domain is transformed from the semi-infinite interval of physical interest to the unit interval by using the transformation z= 1 - e-?. The coupled nonlinear BVP is converted into an equivalent initial value problem (IVP) by supplying appropriate initial conditions. Series solution of the equivalent IVP is obtained in powers of 1 - e-? with assistance from the NewtonRaphson method. Convergence of the series is assured by the very design of the series as confirmed by the DombSykes plots and the plots of partial sums. The results of the series solution compare well with the numerical results obtained by the shooting method based on the RungeKuttaFehlberg45 and NewtonRaphson methods. The novelty of the methodology lies in the construction of a new series solution for a class of problems with exponential decay in their solution. Such a work has not been reported before. 2020, Springer Nature India Private Limited.
International Journal of Applied and Computational Mathematics, Vol-6, No. 4
Siddheshwar P.G., Department of Mathematics, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, India; Narayana M., Department of Mathematics, The University of the West Indies, Mona Campus, Kingston 7, Jamaica; Bhatt B., Department of Mathematics and Statistics, The University of the West Indies, St. Augustine, Trinidad and Tobago
An ancestral genomic locus in Mycobacterium tuberculosis clinical isolates from India hints the genetic link with Mycobacterium canettii
Ancestral strain; Genome sequencing; Mycobacterium tuberculosis; Smooth tubercle bacilli; Subtractive hybridization
Background: Tuberculosis remains a worldwide public health emergency. To better understand M. tuberculosis and to identify genomic variations characteristic to the Indian clinical isolates by a low-cost method, a genomic subtractive hybridization between M. tuberculosis H37Rv and a clinical isolate from South India was performed. Results: This revealed a novel 0.4-kb subtractive fragment which was used as a handle to pull out a 4.5-kb genomic region characteristic to the clinical isolate and was absent in H37Rv. On further studies, this 4.5-kb region was found to be present in 91% of the M. tuberculosis clinical isolates screened from Kerala, a state in South India. Interestingly, this novel region has 99% identity (with 100% query coverage) with genomic regions of M. canettii. Discussion: The present study hypothesizes that this locus was present in the recent common environmental ancestor of mycobacteria, retained to the maximum extent in M. canettii and ancestral isolates of M. tuberculosis, and later deleted in other modern lineages of M. tuberculosis. Thus, this region may serve as one of the links between the pathogenic mycobacteria and the environmental species. We also propose that the Indian isolates of M. tuberculosis might be closely related to the putative progenitor M. prototuberculosis with respect to this locus. More studies on other genomic loci from different strains of M. tuberculosis are required to establish more links in this direction. 2020, Springer Nature Switzerland AG.
International Microbiology, Vol-23, No. 3, pp. 397-404.
https://doi.org/10.1007/s10123-019-00113-0 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077586924&doi=10.1007%2fs10123-019-00113-0&partnerID=40&md5=313246f3c19fe94ecc9ad88fef0dbaaa
Sarojini S., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 29, India; Mundayoor S., Rajiv Gandhi Centre for Biotechnology, (RGCB), Trivandrum, India, Inter University Centre for Biomedical Research and Super Speciality Hospital (IUCBR & SSH), Kottayam, India
Long memory investigation during demonetization in India
Bubble; Demonetization; Herd behavior; Joseph Effect; Noah Effect
Long-range dependence (LRD) in financial markets remains a key factor in determining whether there is market memory, herding traces, or a bubble in the economy. Usually referred to as 'Long Memory', LRD has remained a key parameter even today since the mid-1970s. In November 2016, a sudden and drastic demonetization measure took place in the Indian market, aimed at curbing money laundering and terrorist funding. This study is an attempt to identify market behavior using long-range dependence during those few days in demonetization. Besides, it tries to identify nascent traces of bubble and embedded herding during that time. Auto Regressive Fractionally Integrated Moving Average (ARFIMA) is used for three consecutive days around the event. Tick-by-tick data from CNX Nifty High Frequency Trading (CNX Nifty HFT) is used for three consecutive days around demonetization (approximately, 5000 data points from morning trading sessions on each of the three days). The results show a clear and profound presence of herd behavior in all three data sets. The herd intensity remained similar, indicating a unique mixture of both 'Noah Effect' and 'Joseph Effect', proving a clear regime switch. However, the results on the event day show stable and prominent herding. Mandelbrot's specified effects were tested on an uncertain and sudden financial event in India and proved to function perfectly. Bikramaditya Ghosh, Saleema J. S., Aniruddha Oak, Manu K. S., Sangeetha R., 2020.
Ghosh B.; Saleema J.S.; Oak A.; Manu K.S.; Sangeetha R.
Investment Management and Financial Innovations, Vol-17, No. 2, pp. 297-307.
Ghosh B., Institute of Management, Christ University, India; Saleema J.S., Department of Computer Science, Christ University, India; Oak A., Institute of Management, Christ University, India; Manu K.S., Department of Management Studies, Christ University, India; Sangeetha R., Department of Management Studies, Christ University, India
Psychological health among armed forces doctors during COVID-19 pandemic in India
Anxiety; COVID-19; Depression HADS; Doctors
Background: A pandemic poses a significant challenge to the healthcare staff and infrastructure. We studied the prevalence of anxiety and depressive symptoms among armed forces doctors in India during the COVID-19 pandemic and the factors that contribute to these symptoms. Methods: The study was conducted from March 30, 2020, to April 2, 2020, using a self-administered questionnaire questionnaire using the hospital anxiety and depression scale (HADS), which was sent through Google Forms. Responses were received from 769 respondents. Data were analyzed for demographic details and HADS scores using the chi-square test and backward logistic regression. Results: Anxiety and depressive symptoms were seen in 35.2% and 28.2% of the doctors, respectively. In doctors with anxiety symptoms, significant associations were observed with age (2035 years, 39.4%, P = 0.01), gender (females, 44.6%, P < 0.001), duration of service (010 years, 38%, P = 0.03), and clinical versus non-clinical specialties (non-clinical, 41.3%, P < 0.001) as opposed to marital status, education level, and current department of work. In doctors with depressive symptoms, significant associations were observed with age (P = 0.04), clinical versus non-clinical specialties (P < 0.001), duration of service (010 years, 30.1%, P = 0.03), and doctoral degree (P = 0.04) as opposed to gender, marital status, education level, and current working department. Conclusion: The study revealed a high prevalence of anxiety and depressive symptoms among armed forces doctors. The main contributing factors are female gender, young age group, non-clinical specialties, and having a doctoral degree. Copyright 2020 Indian Psychiatric Society - South Zonal Branch.
Gupta S.; Kohli K.; Padmakumari P.; Dixit P.K.; Prasad A.S.; Chakravarthy B.S.; Shukla R.; Ghana P.; Mahapatra D.; Varadaraj G.
Indian Journal of Psychological Medicine, Vol-42, No. 4, pp. 374-378.
All Open Access; Gold Open Access; Green Open Access
Gupta S., Dept. of Psychology, CHRIST (Deemed to be University), Central Campus, Bengaluru, Karnataka, India; Kohli K., Medical Division, Command Hospital Airforce, Bengaluru, Karnataka, India; Padmakumari P., Dept. of Psychology, CHRIST (Deemed to be University), Central Campus, Bengaluru, Karnataka, India; Dixit P.K., Medical Division, Command Hospital Airforce, Bengaluru, Karnataka, India; Prasad A.S., Medical Division, Command Hospital Airforce, Bengaluru, Karnataka, India; Chakravarthy B.S., Dept. of Psychiatry, Command Hospital Airforce, Bengaluru, Karnataka, 560007, India; Shukla R., Medical Division, MH Namkum, Ranchi, Jharkhand, India; Ghana P., Medical Division, Command Hospital Airforce, Bengaluru, Karnataka, India; Mahapatra D., Medical Division, Command Hospital Airforce, Bengaluru, Karnataka, India; Varadaraj G., Medical Division, Command Hospital Airforce, Bengaluru, Karnataka, India
Acetylcholine esterase inhibition activity of leaf extract of Saraca asoca using zebrafish as model organism
Acetylcholine esterase (AChE); Alzheimers disease; Molecular docking; Saraca asoca; Zebrafish
Alzheimers disease, also called as Senile Dementia, is a progressive neurogenerative disease that slowly destroys important mental functions like memory, reasoning and thinking. A plethora of factors including genetics, lifestyle, environment, age etc. play a part in determining its incidence. One of the commonly used techniques to slow down the progression of Alzheimers is to reduce the functioning of Acetylcholinesterase (AChE) enzyme which breaks down the neurotransmitter acetylcholine. Plants have been found to be natural sources of AChE inhibitors. Hence the present investigation was an attempt to screen Ashoka plant (Saraca asoca) for such inhibitors. Zebrafish (Danio rerio) was used as a model organism due to its genetic similarities with humans. Both in vivo and in vitro analyses using zebrafish indicated inhibitory action of the leaf extract on AChE. Gas Chromatography- Mass spectrometry (GCMS) analysis of the methanolic leaf extract and further docking studies of prominent phytochemicals revealed the AChE inhibitory potential of molecules like Stigmasterol, ?-sitosterol, Vitamin E etc. Hence these molecules can be thought of as targets in the therapy of Alzheimers disease. 2020 World Research Association. All rights reserved.
Rijo R.; Tilling B.R.; Mehul V.A.; Sumit P.; Suma S.
Research Journal of Chemistry and Environment, Vol-24, No. 6, pp. 88-94.
Rijo R., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India; Tilling B.R., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India; Mehul V.A., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India; Sumit P., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India; Suma S., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India
Augmented Reality-Enabled Education for Middle Schools
Augmented reality; Education; Mobile application
Augmented reality acts as an add-on to teachers while teaching students, and this helps the teachers and students to have an interactive session. Augmented realitys usage in education is cited as one of the major changes in the educational sector. Thus, the work carried out makes a positive impact in the educational industry. Augmented reality provides features like image recogntion, motion tracking, facial recognition, plane detection, etc., to provide interactive sessions. Simultaneous localization and mapping and concurrent odometry and mapping have proved to be efficient algorithms for augmented reality on mobile devices. The work carried out allows students to view interactive newspapers while reading a specific article. It also allows them to view a dynamic three-dimensional model of the solar system on their smartphone using augmented reality. 2020, Springer Nature Singapore Pte Ltd.
Kapoor V., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Naik P., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India
Enhancement of free convection from horizontal-base straight-fin heat sink by partial shrouding
Conduction; Electronic cooling; Extended surfaces/fins; Heat and mass transfer; Heat exchangers; Heat sink; Heat transfer enhancement; LED cooling; Natural and mixed convection; Natural convection; Rectangular fin; Shroud plate; Thermal systems
This work presents a simple method to improve natural convection heat transfer performance of horizontal-base straight-fin heat sink by adding partial shroud plates on top of the heat sink at both ends. Experiments are conducted in conjunction with a detailed three-dimensional (3D) computational study. The numerical model is validated using experimental results. With partial shrouding, the modification and effective utilization of airflow surrounding the heat sink leads to significant heat transfer enhancement. The installation of shroud plates effectively improves the mass flowrate of air admitted into the fin channel. Further, the airflow drawn above the heat sink dissipates heat from the upper surface of the shroud plate. There is also a significant heat dissipation from the lower surface of the shroud plate which is exposed to cold air drawn from the side-end of the heat sink. The heat transfer from the existing optimal conventional heat sink is improved by 17% with the introduction of shroud plates. An optimal width of the shroud plate is identified to exist for the maximum heat transfer. The percentage enhancement in heat transfer achieved by partial shrouding increases with a decrease in the fin height and with an increase in the fin spacing. The proposed compact heat sink design would be of application in enhancing passive heat dissipation from light-emitting diode (LED) lights and other electronic devices, especially when size constraints exist. Copyright 2020 by ASME
Journal of Thermal Science and Engineering Applications, Vol-12, No. 3
American Society of Mechanical Engineers (ASME)
https://doi.org/10.1115/1.4046021 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091516430&doi=10.1115%2f1.4046021&partnerID=40&md5=6426a6bc96e3d4577e85f70c7c99ce02
Nair D.V., Department of Mechanical and Automobile Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India
Impact of Voluntary Disclosure on Valuation of Firms: Evidence from Indian Companies
Financial Reporting; Firm Value; Panel Data Regression; Tobins Q Ratio; Voluntary Disclosures
This article investigates the effect of voluntary corporate disclosures on the firm value from the market value perspective. Financial reporting includes disclosures as prescribed by regulators, but few companies go beyond mandatory requirements and provide additional information voluntarily. This study empirically tests the extent of such voluntary disclosures using Corporate Voluntary Disclosure Index containing 81 items of both financial and non-financial information and panel data regression to test the hypotheses. The sample for this study is the non-financial companies in the BSE 100 Index and the period is five financial years from 20102011 to 20142015. This study finds a positive association between voluntary disclosures and firm value as measured by Tobins Q. Especially the market gives a higher valuation for companies disclosing optional information on social and environmental, corporate governance and financial information. This finding has a significant implication for emerging economies like India and it supports various disclosure theories such as agency, stakeholders and positive accounting theories. 2020 Management Development Institute.
Charumathi B., Department of Management Studies, School of Management, Pondicherry University, Puducherry, India; Ramesh L., Institute of Management, CHRIST (Deemed to be University), Bangalore, India
Exploring the role of E-servicescape dimensions on customer online shopping: A stimulus-organism-response paradigm
E-commerce; E-servicescape; Gender; Online shopping; Stimuli-organism-response framework; Trust
With limited empirical evidence and an incomplete understanding of e-servicescape environment, its effects on e-commerce websites still needs to be explored. Hence, the study understands and assesses the effects of e-servicescape environment on customer purchase behavior, considering the moderating role of gender. The stimulus-organism-response framework was adapted to formulate a conceptual model, in which the e-servicescape (stimulus) features were modelled as an antecedent of customer trust (organism) on website that directs customer behaviour of purchase intention (response). To conduct an analysis, a data sample of 304 responses was collected from those who have earlier used e-commerce websites using a structural equation modelling technique. Results of the study shows that e-servicescape dimensions are a strong predictor of trust that strongly impacts customer purchase intention. Results further reveal that in an online environment, the gender gap is depleting as it impacts all three dimensions of the e-servicescape on customer behavior which remains consistent for both groups. Copyright 2020, IGI Global.
Journal of Electronic Commerce in Organizations, Vol-18, No. 3, pp. 53-73.
https://doi.org/10.4018/JECO.2020070104 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089912994&doi=10.4018%2fJECO.2020070104&partnerID=40&md5=a617e01391b4ed74307a1ad95ae1e978
Yadav R., Amity School of Business, Amity University, Noida, India; Mahara T., Institute of Management, Christ University, Bengaluru, India
Analysis of a magnetic field and Hall effects in nanoliquid flow under insertion of dust particles
boundary layer flow; dusty fluid; Hall current; magnetohydrodynamics; mixed convection; nanoparticles
In this study, the two-phase hydromagnetic flow of a viscous liquid through a suspension of dust and nanoparticles is considered. The influence of the Hall current is also taken into account. The similarity variables are utilized to transform the problem into one independent variable. The obtained expressions in one independent variable are solved through the RungeKuttaFehlberg scheme connected with the shooting procedure. The computed results are sketched for employing multiple values of physical constraints on the temperature and velocity of the nanofluid and dust phase. The characterization of various nanoparticles like Cu, Al2O3, TiO2, and Ag on velocities and temperatures of both phases is made through plots. A comparative analysis in the limiting approach is presented to justify the present solution methodology. The range of emerging parameters is taken as 0 ? l ? 3, 0.1 ? ?t ? 3, 0 ? m ? 2.5, 0 ? M2 ? 2, 0.1 ? ?v ? 3, 0 ? ? ? 0.4, and ?0.8 ? ? ? 0.8. From the study, it is revealed that ?t has theopposite effect on the temperature of dust and nanofluid phases. The Hall parameter mraisesthe profiles of velocities in the nanoliquid and dust phases. Also, it is found that the transverse velocities h(?) and H((?) andtemperatures ?(?) and ?p(?) rise for larger ?. 2020 Wiley Periodicals, Inc.
Mahanthesh B.; Gireesha B.J.; Shehzad S.A.; Ibrar N.; Thriveni K.
Heat Transfer, Vol-49, No. 3, pp. 1632-1648.
https://doi.org/10.1002/htj.21682 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85096188948&doi=10.1002%2fhtj.21682&partnerID=40&md5=bba313589b1a1af5b1f5ce131a4a3327
Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India; Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shimoga, India; Shehzad S.A., Department of Mathematics, COMSATS University Islamabad, Sahiwal, Pakistan; Ibrar N., Department of Mathematics, Faculty of Science, University of Sargodha, Sargodha, Pakistan; Thriveni K., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India
Directional Vector-Based Skin Lesion Segmentation - A Novel Approach to Skin Segmentation
8-directional vector; dermoscopy; DVBSLS; PH2 lesion pixel; secondary seed; semi-automatic
Efficient skin lesion segmentation algorithms are required for computer aided diagnosis of skin cancer. Several algorithms were proposed for skin lesion segmentation. The existing algorithms are short of achieving ideal performance. In this paper, a novel semi-automatic segmentation algorithm is proposed. The fare concept of the proposed is 8-directional search based on threshold for lesion pixel, starting from a user provided seed point. The proposed approach is tested on 200 images from PH2 and 900 images from ISBI 2016 datasets. In comparison to a chosen set of algorithms, the proposed approach gives high accuracy and specificity values. A significant advantage of the proposed method is the ability to deal with discontinuities in the lesion. 2020 World Scientific Publishing Company.
International Journal of Image and Graphics, Vol-20, No. 3
Nikesh P., School of Computer Sciences, Mahathma Gandhi University, Kottayam, Kerala, India; Raju G., Department of CSE, Faculty of Engineering, Christ (Deemed to Be University), Bengaluru, Karnataka, India
Examining the relationship between e-service recovery quality and e-service recovery satisfaction moderated by perceived justice in the banking context
Digital commitment; E-Service recovery satisfaction; Perceived information quality; Perceived justice; Perceived service orientation of organization; Perceived service recovery quality
Purpose: The study focuses on the core issue faced by bankers on how to retain existing customers who have encountered an e-service failure and who are skeptical about the justice received through the service recovery process. It further endeavors to create an internal bench-marking model for assessing e-service recovery satisfaction. Design/methodology/approach: By the experimental study, the authors confirm a measurement model using structural equation modeling for examining the impact of perceived service recovery quality antecedents on e-service recovery satisfaction moderated by perceived justice. In total, responses from 399 e-banking customers, who had experienced a e-service failure, were recorded using a 5-point Likert scale with a structured questionnaire. Findings: The perceived e-service recovery quality antecedents identified were perceived information quality, digital commitment, perceived employee performance and perceived service orientation of organization. The empirical results revealed that perceived information quality was the most significant predictor of e-service recovery satisfaction. Perceived justice moderates the relation between perceived service recovery quality and e-service recovery satisfaction. Research limitations/implications: The research does not contemplate the e-service recovery satisfaction of customers who have undergone multiple service failures. Practical implications: The conclusions of the investigation suggest that the four antecedents of perceived e-service recovery quality model are suitable instruments for creating benchmarks for e-service recovery satisfaction for banks, and that perceived justice moderates the relationship between e-service recovery quality and e-service recovery satisfaction. Therefore, policymakers in banks can use this model to assess the e-service recovery quality, and they ought to enhance the perceived justice feel of the customers who have experienced a service failure. Originality/value: There remains scarcity of empirical research focusing on perceived information quality and digital commitment as antecedents of perceived e-service recovery quality and its effect on e-service recovery satisfaction in the banking context. Furthermore, similar studies within the banking sector have rarely considered perceived justice as a moderator variable. Hence, this paper attempts to accomplish the research gap by empirically testing the e-service recovery satisfaction level of a large sample of the population toward four antecedents of perceived e-service recovery quality rendered by banks and create a benchmark model to ascertain e-service recovery satisfaction. 2020, Emerald Publishing Limited.
Benchmarking, Vol-27, No. 6, pp. 1951-1980.
https://doi.org/10.1108/BIJ-07-2019-0323 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086774375&doi=10.1108%2fBIJ-07-2019-0323&partnerID=40&md5=3c32c4d8aed3608182a56b6a69262b75
Mathew S., Christ University, Bangalore, India; Jose A., Independent Researcher, Polackal, Changanacherry, India; G R., Department of Management, Amrita Vishwa Vidyapeetham, Kochi, India; Chacko D.P., Toyota Motor Corporation, Melbourne, Australia
Effect of surface charge and other critical parameters on the adsorption of dyes on SLS coated ZnO nanoparticles and optimization using response surface methodology
Adsorption; Box-Behnken design; Effect; SLS; Surface charge; Zinc oxide
Adsorption is a possible method with distinct advantages to remediate pollution due to dyes. Sodium Lauryl Sulfate (SLS) coated ZnO nanoparticles were synthesized using the electrochemical method. The final product was dried at different temperatures, 60, 120, 150 and 300 C. The sample dried at 60 C was found to have the maximum SLS coating on its surface providing high negative charge density. This facilitates the adsorption of cationic dyes on its surface through electrostatic attraction. The effect of SLS on the adsorption process was confirmed by comparing it with ZnO without SLS. The effect of important parameters such as amount of adsorbent, concentration of dye, temperature and time on the percentage of adsorption was investigated using Box-Behnken design (BBD) of Response Surface Methodology (RSM). The prepared catalysts were characterized using X-ray diffraction analysis, infrared spectroscopic analysis, scanning electron microscopy, elemental detection analysis, thermogravimetric and zeta potential analysis. Finally, the study was extended to Langmuir and Freundlich isotherms in order to confirm the type of adsorption. The adsorption kinetics studies showed that it obeys pseudo second order kinetics. 2020 Elsevier Ltd.
Pinheiro D.; Sunaja Devi K.R.; Jose A.; Rajiv Bharadwaj N.; Thomas K.J.
Journal of Environmental Chemical Engineering, Vol-8, No. 4
https://doi.org/10.1016/j.jece.2020.103987 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089083853&doi=10.1016%2fj.jece.2020.103987&partnerID=40&md5=97e0467d6475f7bf32d0e6c693d8963a
Pinheiro D., Department of Chemistry, CHRIST (Deemed to Be University), Bangalore, Karnataka, 560029, India; Sunaja Devi K.R., Department of Chemistry, CHRIST (Deemed to Be University), Bangalore, Karnataka, 560029, India; Jose A., Department of Chemistry, CHRIST (Deemed to Be University), Bangalore, Karnataka, 560029, India; Rajiv Bharadwaj N., Department of Chemistry, CHRIST (Deemed to Be University), Bangalore, Karnataka, 560029, India; Thomas K.J., Department of Chemistry, CHRIST (Deemed to Be University), Bangalore, Karnataka, 560029, India
Extraction of Graphene Nanostructures from Colocasia esculenta and Nelumbo nucifera Leaves and Surface Functionalization with Tin Oxide: Evaluation of Their Antibacterial Properties
asntibiotics; graphene; nanoparticles; nanostructures; renewable resources
Expeditious evolution of antimicrobial resistance in recent years has been identified as a growing concern by various health organizations around the world. Herein, facile and environmentally benign production of highly antibacterial carbonaceous nanomaterials from Colocasia esculenta and Nelumbo nucifera leaves is reported. After carbonization and oxidative treatment, smaller graphene domains are formed in Colocasia esculenta derivatives, whereas larger sheetlike structures are observed in the case of Nelumbo nucifera. Smaller particle size makes quantum confinement effects more prominent, as is evident in fine-tuning of the photoluminescence emission after each stage of treatment. The influence of precursor materials on the antibacterial properties of the nanosystems is also demonstrated. When microbiocidal activity was tested against model bacteria Pseudomonas aeruginosa, the nanocomposite derived from Colocasia esculenta leaves showed higher activity than the antibiotic drug clarithromycin (control) with a measured zone of inhibition of 400.5 mm. This is one of the highest values reported in comparison with plant-based carbonsilver nanosystems. Quantitative analysis revealed that the nanocomposite obtained from Colocasia esculenta leaves has antimicrobial efficacy equivalent to those of commercial antibiotic drugs and is able to eradicate bacteria at much lower concentrations than that obtained from Nelumbo nucifera leaves. 2020 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim
Chemistry - A European Journal, Vol-26, No. 36, pp. 8105-8114.
ISSN: 9476539; PubMed ID: 32222045; CODEN: CEUJE
https://doi.org/10.1002/chem.202000590 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085896755&doi=10.1002%2fchem.202000590&partnerID=40&md5=81ed96ce162400869bef7a787934bbd9
Mohan A.N., Materials Science Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India; Manoj B., Materials Science Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India