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The Factors Impacting Parental Choice in Picking Non-public Schools for Their Children
The purpose of the study was to investigate the school related factors influencing parental choice of private schools in the city of Bangalore. The study intended to analyze factors affecting parents choice of private schools in Bangalore, to discuss the extent to which various factors influence parents choice of private schools. The study used descriptive survey design. The target population of this study consisted of all parents of students studying in private primary schools in the city of Bangalore. A total sample of 180 parents was drawn purposively from Bangalore. The tool used for collecting the data was a self-constructed questionnaire which included 32 statements were prepared on the basis of a 5-point Likert scale. The study identified seven distinct factors affecting the parents decision of choosing a private school. Among these the factor that was seen to have most significant influence on parents decision to choose a private was school environment. The second most important factor that parents considered was the School quality. Third, parents considered curricular activities offered by school. Next, parents considered Quality of instruction while choosing a school. However, student welfare, parental involvement and proximity to the area of residence were considered less important by parents when choosing a school. The Author(s) 2021. -
Unsteady squeezing flow of a magnetized nano-lubricant between parallel disks with Robin boundary conditions
The aim of the present work is to examine the impact of magnetized nanoparticles (NPs) in enhancement of heat transport in a tribological system subjected to convective type heating (Robin) boundary conditions. The regime examined comprises the squeezing transition of a magnetic (smart) Newtonian nano-lubricant between two analogous disks under an axial magnetism. The lower disk is permeable whereas the upper disk is solid. The mechanisms of haphazard motion of NPs and thermophoresis are simulated. The non-dimensional problem is solved numerically using a finite difference method in the MATLAB bvp4c solver based on Lobotto quadrature, to scrutinize the significance of thermophoresis parameter, squeezing number, Hartmann number, Prandtl number, and Brownian motion parameter on velocity, temperature, nanoparticle concentration, Nusselt number, factor of friction, and Sherwood number distributions. The obtained results for the friction factor are validated against previously published results. It is found that friction factor at the disk increases with intensity in applied magnetic field. The haphazard (Brownian) motion of nanoparticles causes an enhancement in thermal field. Suction and injection are found to induce different effects on transport characteristics depending on the specification of equal or unequal Biot numbers at the disks. The main quantitative outcome is that, unequal Biot numbers produce significant cooling of the regime for both cases of disk suction or injection, indicating that Robin boundary conditions yield substantial deviation from conventional thermal boundary conditions. Higher thermophoretic parameter also elevates temperatures in the regime. The nanoparticles concentration at the disk is boosted with higher values of Brownian motion parameter. The response of temperature is similar in both suction and injection cases; however, this tendency is quite opposite for nanoparticle concentrations. In the core zone, the resistive magnetic body force dominates and this manifests in a significant reduction in velocity, that is damping. The heat build-up in squeeze films (which can lead to corrosion and degradation of surfaces) can be successfully removed with magnetic nanoparticles leading to prolonged serviceability of lubrication systems and the need for less maintenance. IMechE 2021. -
Continuity and changes in food consumption pattern among Tibetan refugee community in India
The Food consumption pattern of refugee communities is being carried out by many scholars and few acknowledged the food continuity, its implications on the health of refugees in the host country. The present study highlights food continuity among Tibetan refugees in the Bylakuppe settlement, India. 200 household data were administered to understand food consumption patterns by employing a structured household questionnaire. Simultaneously, 23 individual data were collected consisting of first migrants (15) and second-generation (8) for the qualitative study. Households derive energy mainly from carbohydrates and animal fats, and there is a prevalence of food insecurity among the Tibetan community. It is a proven fact that food insecurity will have serious health consequences in terms of emotional and mental well-being and suggest the need for further study of food insecurity among Tibetan refugees across the world. 2021 -
AI enabled applications towards intelligent transportation
Artificial intelligence (AI) is the ability of a machine to perform cognitive functions like perceiving, reasoning, learning and problem-solving which humans are capable of performing at ease. AI has gained traction since the past two decades across the globe due to availability of huge volume of data generated through Internet. There has been a huge benefit to governments and businesses by processing this data using advanced algorithms in the recent past. The robust growth of machine learning algorithms supported by various technologies like Internet of Things, Robotic Process Automation, Computer Vision, Natural Language Processing have enabled the growth of AI. This article is a compilation of various issues plaguing Transport Industry classified under Intelligent Transportation Systems. Some of the sub-systems considered are related to Traffic Management, Public Transport, Safety Management, Manufacturing & Logistics from Intelligent Transportation Systems where AI benefits are put into use. The study takes up specific areas of concern in transport industry and its related issues that have possible solutions using AI. The approach involves a secondary study based on the country-wise data available from various sources. Further, discussions on AI solutions to resolve issues in transport industry across various countries in the globe and in Indian states is taken up. 2021 -
Executive functions and psychological flourishing in public sector employees
The present study examined the relationship between executive functions and psychological flourishing. Executive functions are based on three broad brain capacities namely: inhibitory control, working memory and cognitive flexibility. The participants for the study comprised 99 executives working in public sector organizations in India. Correlational analysis was computed to examine the relationship between executive functions and psychological flourishing. Multiple regression was used to find out if executive functions predicted psychological flourishing. The significant positive association of psychological flourishing with self-restraint, working memory, emotional control, focus, task initiation, planning/prioritization, organization, time management, defining and achieving goals, flexibility and observation was observed. The results of the multiple regression indicated that working memory, focus and observation predicted psychological flourishing. 2021 Ecological Society of India. All rights reserved. -
Magneto convective flow of casson nanofluid due to Stefan blowing in the presence of bio-active mixers
The induced magnetic field for three-dimensional bio-convective flow of Casson nanofluid containing gyrotactic microorganisms along a vertical stretching sheet is investigated. The movement of these microorganisms cause bioconvection and they act as bio-active mixers that help in stabilising the nanoparticles in the suspension. The two forces, Thermophoresis and Brownian motion are incorporated in the Mathematical model along with Stefan blowing. The resulting model is transformed to ordinary differential equations using similarity transformations and are solved using (Formula presented.) method. The Velocity, Induced Magnetic field, Temperature, Concentration of Nanoparticles, and Motile density profiles are interpreted graphically. It is observed that the Casson parameter decreases the flow velocity and enhances the temperature, concentration, and motile density profiles and also it is noticed that the blowing enhances the nanofluid profiles whereas, suction diminishes the nanofluid profiles. On the other hand, it is perceived that the rate of heat conduction is enhanced with Thermophoresis and Brownian motion. IMechE 2021. -
STATIC PERFECT FLUID SPACE-TIME ON ALMOST KENMOTSU MANIFOLDS
In this work, we intend to investigate the characteristics of static perfect fluid space-time metrics on almost Kenmotsu manifolds. At first we prove that if a Kenmotsu manifold M is the spatial factor of static perfect fluid space-time then it is ?-Einstein. Moreover, if the Reeb vector field ? leaves the scalar curvature invariant, then M is Einstein. Next we consider static perfect fluid space-time on almost Kenmotsu (?, ?)0-manifolds and give some characteristics under certain conditions. 2021 Bulgarian Academy of Sciences. All rights reserved. -
Taxonomic studies in the genus Haplanthodes (Acanthaceae)
The endemic Indian genus Haplanthodes (Acanthaceae) is revised. Four species, viz. H. neilgherryensis, H. plumosa, H. tentaculata and H. verticillata and a new variety, H. neilgherryensis var. toranganensis are recognized. Lectotype is designated for Haplanthodes, Haplanthus plumosus and H. verticillaris. The nomenclature of the Linnaean name Ruellia tentaculata is also discussed. Micromorphology of seed using light microscope (LM) and scanning electron microscope (SEM) is observed for the first time, and two types, reticulate and micro papillate, have been recognized based on surface sculpturing pattern. The genus differs from the related genera Andrographis and Haplanthus by distinctly two grooved seeds with hygroscopic hairs. Pollen grains of the genus are oblate or prolate spheroidal, distinctly triangular, trizonocolporate with reticulate exine ornamentation. Copyright 2021 Magnolia Press -
Classifying voice-based customer query using machine learning technique
Timely attention to issues raised by customers is critical. It is imperative that the average handling time is lesser, which in turn contributes to productivity. It was found from the data from the banking industry in the US that, on average, a customer service call last for seven minutes. The first two minutes are for the call to get redirected to the respective team. This study investigates a method using machine learning to classify and redirect the customers into the respective department directly based on their initial voice response or voice message. It will substantially reduce the service time. CRISP-DM methodology is being used to design the process of the study. The most frequently occurring issues and the department to which they are associated are created through machine learning from the dataset that contained product reviews and metadata of different issues. The programming languages that are used in this study are Python, HTML and Java. An interface is created by using HTML, which makes it quite user-friendly. The study tests the effectiveness of converting voice to text and interprets which department the call should be transferred to address the issue. A support vector machine and a logistic regression model were used for the prediction, and it was found that the models provided an accuracy of 83 and 84 percent, respectively. The study proves that using ML and voice recognition reduces the average handling time. 2021 Ecological Society of India. All rights reserved. -
Professional quality of life of nurses with 6-8 years of work experience
The current research investigation was undertaken to understand the relationship of professional quality of life of nurses with self-efficacy, empathy and aggression. Professional quality of life is the quality one feels in relation to their work as a helper (Stamm 2010). It includes the positive component of compassion satisfaction and two negative components of burnout and secondary traumatic stress. Nursing professionals with 6-8 years of work experience and employed in Punjab, India were taken for the purpose of the study. Fantasy seeking was found to be a positive predictor of compassion satisfaction explaining 4% of variance. Self-efficacy and empathic concern were found to be negative predictors while verbal aggression was found to be a positive predictor of burnout. Together the three predictors accounted for 17% of variance in burnout. Personal distress was a positive predictor of secondary traumatic stress explaining 8% of variance. Implications are discussed with in light of professional quality of life of nurses who hold a considerable amount of work experience in the nursing profession. 2021 Ecological Society of India. All rights reserved. -
CSR as an agent of financial stability: A use case of banking industry
The study was undertaken to examine the importance of corporate social responsibility (CSR) as an agent to improve the firm's performance and financial stability by enhancing goodwill and competitive advantage in the Indian banking industry. In the study, it has been hypothesized that CSR expenses have a positive relationship with financial stability. A correlation study has also been undertaken to determine any relationship among these variables, followed by a dependency regression test to show the levels of dependency of financial stability on CSR expenses and the Granger Causality test to find their causal relationship. The study has revealed a significant relationship between the financial stability variables and CSR expenses, and the Granger Causality level supports the findings. 2021 Ecological Society of India. All rights reserved. -
Investigation of photoluminescence emission from ?-Ga2O3: Ce thin films deposited by spray pyrolysis technique
Ce doped Ga2O3 thin films for different doping concentrations (3 at%, 4 at%, 5 at%, 6 at%, 7 at%, and 8 at%) were deposited by spray pyrolysis method. X-ray diffraction analysis confirmed the crystalline structure as that of monoclinic ?-Ga2O3. The effect of doping on the band gap of the material was studied by UV-Visible spectroscopic method and the thickness of the film and refractive index were measured by ellipsometric technique. The photoluminescence excitation and emission spectra were recorded for pure and doped samples and the energy band scheme with possible radiative and nonradiative transitions were elucidated. Concentration quenching effect was observed, and the underlying mechanism responsible for quenching effect was studied based on Dexter theory. 2021 Elsevier B.V. -
Star formation around three co-moving HAeBe stars in the Cepheus Flare
Context. The presence of three more Herbig Ae/Be (HAeBe) candidates in the Cepheus Flare within a 1.5 radius centered on HD 200775 suggests that star formation is prevalent in a wider region of the LDN 1147/1158, LDN 1172/1174, and LDN 1177 clouds. A number of young stellar objects (YSOs) are found to be distributed toward these cloud complexes along with the HAeBe stars. Various star formation studies clearly indicate ongoing low-mass star formation inside the clouds of this region. Sources associated with less near-infrared excess and less H? emission raise the possibility that more low-mass YSOs, which were not identified in previous studies, are present in this region. Aims. The aim is to conduct a search for additional young sources that are kinematically associated with the previously known YSOs and to characterize their properties. Methods. Based on the Gaia DR2 distances and proper motions, we found that the HAeBe candidates BD+681118, HD 200775, and PV Cep are all spatially and kinematically associated with previously known YSOs. Based on the Gaia DR2 data, we identified a number of co-moving sources around BD+681118. These sources are characterized using optical and near-infrared color-color and color-magnitude diagrams. Results. We estimated a distance of 3407 pc to the whole association that contains BD+681118, HD 200775, and PV Cep. Based on the distance and proper motions of all the known YSOs, a total of 74 additional co-moving sources are found in this region, of which 39 form a loose association surrounding BD+681118. These sources are predominantly M-type sources with ages of ?10 Myr and no or very little near-infrared excess emission. The distribution of co-moving sources around BD+681118 is much more scattered than that of sources found around HD 200775. The positive expansion coefficients obtained via the projected internal motions of the sources surrounding BD+681118 and HD 200775 show that the co-moving sources are in a state of expansion with respect to their HAeBe stars. A spatiooral gradient of these sources toward the center of the Cepheus Flare Shell supports the concept of star formation triggered by external impacts. 2021 ESO. -
Reliability test plan for the marshall-olkin extended inverted kumaraswamy distribution
This paper mainly interested in studying the wider range behavior of the Marshall-Olkin extended inverted Kumaraswamy distribution. The parameters of model are estimated by various estimation methods. A reliability sampling plan is proposed which can save the test time in practical situations. Some tables are also provided for the new sampling plans so that this method can be used conveniently by practitioners. The developed test plan is applied to ordered failure times of software release to provide its importance in industrial applications. 2021 Gnedenko Forum. All right reserved. -
Solution for fractional potential KdV and Benjamin equations using the novel technique
In this paper, we find the solutions for fractional potential Kortewegde Vries (p-KdV) and Benjamin equations using q-homotopy analysis transform method(q-HATM). The considered method is the mixture of q-homotopy analysis method and Laplace transform, and the Caputo fractional operator is considered in the present investigation. The projected solution procedure manipulates and controls the obtained results in a large admissible domain. Further, it offers a simple algorithm to adjust the convergence province of the obtained solution. To validate the q-HATM is accurate and reliable, the numerical simulations have been conducted for both equations and the outcomes are revealed through the plots and tables. Comparison between the obtained solutions with the exact solutions exhibits that, the considered method is efficient and effective in solving nonlinear problems associated with science and technology. 2021 -
Influence of pulse reverse current parameters on electrodeposition of copper-graphene nanocomposite coating
This work focuses on the influence of pulse reverse current parameters such as duty cycle and frequency on the microstructure and properties of graphene reinforced copper nanocomposite (Cu-Gr) coating. Graphene nanosheets were prepared by a liquid phase exfoliation technique and characterized using FE-SEM and Raman spectroscopy. Cu-Gr nanocomposite coating on stainless steel was prepared by pulse reverse electrodeposition method. The influence of pulse reverse current parameters such as duty cycle and frequency on the coating structure and texture was analyzed. By reducing the duty cycle and increasing frequency, a high amount of graphene co-deposition was achieved. A duty cycle of 40%, frequency of 1000 Hz and stirring speed of 500 rpm produced Cu-Gr coatings with maximum graphene codeposition. XRD analysis showed that the change in duty cycle and pulse frequency influenced the crystal structure, preferred orientation, and crystallite size of the deposit. A high pulse frequency improved the compactness of the composite coating, while longer pulse off-time and application of reverse pulse resulted in highly oriented (220) texture of pure Cu and Cu-Gr nanocomposite coatings. Due to graphene co-deposition, the copper grains became more refined, and hence the microhardness of the composite coating showed a tremendous increase compared to pure Cu coating. The Tafel polarization and electrochemical impedance studies revealed that pulse reverse electrodeposited Cu-Gr coating has higher corrosion resistance than pure Cu coating due to strong (220) texture and barrier effect of graphene. 2021 The Authors -
Metalsemiconductormetal visible photodetector based on Al-doped (Cd:Zn)S nano thin films by hydrothermal synthesis
High quality undoped and Al-doped nanocrystalline (Cd:Zn)S films [CZS and ACZS] were deposited on glass substrates by hydrothermal assisted chemical bath deposition. The Al concentration was varied from 0.5 mol.% to 2 mol.% in steps of 0.5 mol.% replacing cadmium while keeping other deposition parameters constant. XRD, SEM, and EDX were used to observe crystallinity, morphology and composition of the as prepared samples. X-ray diffraction revealed the hexagonal phase of CZS films with prominent orientation along the (002) plane. XPS analysis was used to confirm the doping concentration of Al in to CZS lattice. Repeatable photoresponse was recorded under 100 s cycle light-on and light-off conditions. 1 mol.% Al doped film being optimised as good photoconductor; a photodetector was fabricated with Ag/ACZS/Ag device structure. The ACZS photodetector exhibits similar time response, good photocurrent reproducibility and a sharp photoresponse at blue radiation with high photo-dark current ratio of 95. The device exhibits peak responsivity of 3.48 mA W?1 and detectivity of 1.26 1011 Jones at 470 nm. These properties suggest that the ACZS photodetector holds great potential for application in high-performance visible photodetectors, especially in the blue region. 2021 Elsevier GmbH -
Hybrid fruit-fly optimization algorithm with k-means for text document clustering
The fast-growing Internet results in massive amounts of text data. Due to the large volume of the unstructured format of text data, extracting relevant information and its analysis becomes very challenging. Text document clustering is a text-mining process that partitions the set of text-based documents into mutually exclusive clusters in such a way that documents within the same group are similar to each other, while documents from different clusters differ based on the content. One of the biggest challenges in text clustering is partitioning the collection of text data by measuring the relevance of the content in the documents. Addressing this issue, in this work a hybrid swarm intelligence algorithm with a K-means algorithm is proposed for text clustering. First, the hybrid fruit-fly optimization algorithm is tested on ten unconstrained CEC2019 benchmark functions. Next, the proposed method is evaluated on six standard benchmark text datasets. The experimental evaluation on the unconstrained functions, as well as on text-based documents, indicated that the proposed approach is robust and superior to other state-of-the-art methods. 2021 by the authors. Licensee MDPI, Basel, Switzerland. -
Mental Health in the Times of Corona: A model for Positive Mental Health During the Global Pandemic
As the world comes to terms with the changes brought on by the appearance and spread of Covid-19, there is an increase in fear and anxiety levels. The World Health Organization has stressed on the need to focus on mental health, as the epidemic affects both young and old. One of the biggest challenges is that the situation has no precedent. This has led to the creation of uncertainty and doubt. The current study focusses on studying the positive mental health of the Indian population. For the study, the researchers have restricted the scope to include only Generation Y and Generation Z, as they form a majority of the working population and literature suggests that negative moods, stressors and apprehensions are far more prevalent among the younger sections of the society. The findings suggest that positive mental health is not dependent on gender or age. However, some of the dimensions do show significant variance. The researchers have also proposed a model of Positive Mental Health based on the dimensions of the Positive Mental Health Instrument. 2021, National Academy of Psychology (NAOP) India. -
Exploring factors of consumer perception and attitude towards organic food consumption in India
Organic food market is witnessing an exponential growth in India. However, contradictory to expectations consumption of organic foods as compared to conventional food is still at nascent stage and many empirical studies have indicated this trend. Many of the food retailers have started organic food business across the nation but consumption level has remained significantly low. Impetus for this study came from this contrarian trend and it is crucial to garner insights from awareness and attitude of consumers towards organic food products in terms of why there is gap between awareness and attitude and actual consumption. While there are many empirical studies, not many studies have been conducted in India context. This study is based on descriptive research design constituting a sample of 250 respondents and the data was collected by administering a questionnaire on Likert scale. Study revealed that there was significant gap between perception and attitude of consumers. Factors namely health benefits and concern for environment have higher influence Price sensitivity. Thus, this study helps to bring about an understanding regarding the awareness and attitude of consumers towards organic food products in terms of opportunities ahead and overcoming unaddressed issues. 2021 Ecological Society of India. All rights reserved.