116 research outputs found
RETRACTED: Impact of Green Marketing Practices on Customer Satisfaction among the Leather Industries’ Customers
No full text Retraction Notice: Kushwaha, G.S., & Kumar, A. (2014). ‘Impact of Green Marketing Practices on Customer Satisfaction among the Leather Industries Customers’, Asia-Pacific Journal of Management Research and Innovation, 10(1), 79–88. has been retracted because of the following reasons: 1. The APJMRI article contains unattributed overlap with material from the following article: S. Sivesan, S. Achchuthan & R. Umanakenan (2013). ‘Green Marketing Practices and Customer Satisfaction: A Special Reference to Leather Goods’, Global Journal of Management and Business Research, 13(3), Version 1.0 Year 2013, Online ISSN: 2249-4588 & Print ISSN: 0975-5853. 2. It has been brought to the Publisher’s notice that Dr G.S. Kushwaha’s name was included as the author of the APJMRI article without his permission. The Editor of Asia-Pacific Journal of Management Research and Innovation and the Publisher extend their sincere apology to Dr Sivesan, Dr Achchuthan, Dr Umanakenan and Dr Kushwaha. The main purpose of this study is to find out the impact of green marketing practices on customer satisfaction among the leather industries’ customers. Primary and secondary data were used for this study. Primary data were collected through the questionnaire. Secondary data were collected from texts, journals and magazines. Further, the research design of this study is based on quantitative method. In this study, the quantitative research was used to answer the research question as ‘what extent green marketing practices influence on the customer satisfaction in the Indian context?’ Based on the overall study, green marketing practices are positively associated with customer satisfaction. And also, dimensions in the green marketing practices as green issues in product, price, promotion and place have the significant relationship with customer satisfaction. Meantime, green marketing practices has the significant impact on customer satisfaction. Organisations in the hyper competitive environment can utilise the promotional strategies to induce the customer attitudes in the green issues. In this context, usually people perceive that green issue has high promotion, which is supported by our analysis shows that the promotion and quality of good service are important factors in the consumer’s decision to buy the product. Although the model is the original and unique, it is based on established theories and models. It provides a well-supported explanation of the green marketing to increase the customer satisfaction that should be a useful to manufactures and those who encourage and guide them. </jats:p
Malasian Journal of Library and Information Science: An analysis of Author Collaboration
No full textThis article presents the analysis of collaboration pattern for the articles published in the journal: Malasian Journal of Library and Information Science during the period 2011-2015. Several indicators of collaboration including authorship pattern, collaboration index, degree of collaboration, and collaboration coefficient has been studied. Average authors per paper, productivity per author, most prolific authors, single authored and multi-authored articles are investigated. During the period of study MJLIS has published 110 articles by 289 authors, out of which 18 single authored, 42 double authored, 33 triple authored, 9 four author, 3 five author and 5 more than 5 authored papers have been contributed. The average degree of collaboration is 0.83, average collaboration index is 2.67, average coefficient of collaboration is 0.51, and average modified collaboration coefficient is 0.53 during the five years 2011-2015. Bibliometrics (43 times) Information literacy(11), Library use (12), Information seeking (10)and Malaysia (8) anr the most used keywords. The most productive institutes are found to be University of Malaya, Malaysia (60),Nanyang Technological University, Singapore (17), Islamic Azad University, Iran (13)and Universiti Sains Malaysia (12).The top four most prolific authors are A Abrizah with 10 (3.39%) articles, A Zainab with 9 papers, N H Abdul Karim and S A Saani each with five papers. Average authors per paper (AAPP) during the five years are found to be 2.57,2.9, 2.63, 2.25, 2.80 . It was found that there are 38 inter-institute collaborations, 34 are intra institute collaborations and 25 international collaborations
Machine Learning Assisted Chimera and Solitary States in Networks
No full text© Copyright © 2021 Kushwaha, Mendola, Ghosh, Kachhvah and Jalan.Chimera and Solitary states have captivated scientists and engineers due to their peculiar dynamical states corresponding to co-existence of coherent and incoherent dynamical evolution in coupled units in various natural and artificial systems. It has been further demonstrated that such states can be engineered in systems of coupled oscillators by suitable implementation of communication delays. Here, using supervised machine learning, we predict (a) the precise value of delay which is sufficient for engineering chimera and solitary states for a given set of system's parameters, as well as (b) the intensity of incoherence for such engineered states. Ergo, using few initial data points we generate a machine learning model which can then create a more refined phase plot as well as by including new parameter values. We demonstrate our results for two different examples consisting of single layer and multi layer networks. First, the chimera states (solitary states) are engineered by establishing delays in the neighboring links of a node (the interlayer links) in a 2-D lattice (multiplex network) of oscillators. Then, different machine learning classifiers, K-nearest neighbors (KNN), support vector machine (SVM) and multi-layer perceptron neural network (MLP-NN) are employed by feeding the data obtained from the network models. Once a machine learning model is trained using the limited amount of data, it predicts the precise value of critical delay as well as the intensity of incoherence for a given unknown systems parameters values. Testing accuracy, sensitivity, and specificity analysis reveal that MLP-NN classifier is better suited than Knn or SVM classifier for the predictions of parameters values for engineered chimera and solitary states. The technique provides an easy methodology to predict critical delay values as well as intensity of incoherence for that delay value for designing an experimental setup to create solitary and chimera states.11Nsciescopu
Harnessing Yogic Practices for Optimal Health and Well-being: A Review Study
No full textSince ancient times, humans have been trying to improve their lifestyle through yogic practices. Even today, somebody has accepted the effectiveness of Yoga from a therapeutic point of view. Clinical health practices of Ayurveda and Yoga have protected to a great extent from harmful effects of coronavirus, whether physical or mental. Yoga therapy takes care of the body, prana (vital force), and mind simultaneously. Yoga is also most prevalent because it does not require any kind of medical resources and medicines etc. Yogis have explained Yoga as an art of living a systematic life. Yoga therapy pays attention to all the dimensions of holistic health, such as physical, mental, emotional, and spiritual aspects. WHO (1948) also defines holistic health as “health is not merely the absence of disease, rather complete health is a state of physical, mental, and social well-being.” The yogic lifestyle positively covers all these dimensions of complete health. Yoga philosophy states that the seer is well-known in his true nature. Through the research done in yoga therapy, human beings\u27 physical, mental, and emotional ailments like asthma, diabetes, arthritis, migraine, stress, anxiety, and depression have been competently treated successfully. Therefore, yoga has been demonstrated to be a boon for human civilisation from a therapeutic point of view. Treatment of many diseases has been made possible through the regular practice of Yama-Niyama, Asana, Pranayama, Dhyana, Yoga-Nidra, etc. It is completely clear from the scientific research evidence that yoga therapy takes proper care of an individual\u27s overall health.
Keywords: Yogic Practices, Meditation, Harnessing, Health, Well-being
MgO NPs synthesis, capping and enhanced free radical effect on the bacteria and its cell morphology
No full text
Towards Information Integrated Design Management: A study on the effects of inter-disciplinary information dependency on design in construction design projects
No full textThis M.Sc. thesis is related to the use of Design Structure Matrix (DSM), a design process modeling technique, to model, analyze and improve design processes in Oil and Gas Construction Projects. DSM was used to model the design process of an engineering design section at an Oil and Gas Engineering Company using the information dependencies in the design process. The key effects of the information dependencies that were studied in this thesis include rework due to iterations, change propagation in the design process and need of design team collaboration. Further, the current design process was improved in terms of design schedule by proposing a new design process with reduced rework risk. Finally, ecommendations have been provided to improve the design process on the three aspects related to information dependencies in design process as mentioned above
Impact of mixed convective and radiative heat transfer in spiral-coiled tubes
No full textSpiral-coiled tube heat exchangers (SCTHE) have higher heat transfer as compared to the conventional heat transfer devices and are extensively used to extract heat from exhaust gases in the chemical processing industries and also from sunlight for domestic applications. However, no attention has been made to predict heat transfer characteristics considering combined convective and radiative heat transfer in spiral-coiled tubes. In the present study, numerical analysis has been performed to predict fluid flow and heat transfer characteristics by combined forced convection and thermal radiation in spiralcoiled tubes. The P-1 radiation and the renormalized group (RNG) k–e turbulence models have been used to study the effect of thermal radiation and turbulent convection heat transfer in the spiral-coiled tube, respectively, over a wide range of Reynolds numbers (10,000–100,000) and curvature ratios (0.02–0.05). The emissivity and optical thickness have been varied from 0.0 to 1.0 and 0.0 to 8.0, respectively, to investigate the effect of thermal radiation on heat transfer characteristics in spiral-coiled tubes. For the considered Reynolds number range, it is found that the heat transfer is enhanced by approximately 10% when radiation is taken into account. It is found that the heat capacity increased with an increase in optical thickness and wall emissivity. Further, the effect of optical thickness on fully developed flow is observed weak and the average heat transfer coefficient is influenced by the wall emissivity over the entire flow
Automatic Bright Circular Type Oil Tank Detection Using Remote Sensing Images
No full textAutomatic target detection like oil tank from satellite based remote sensing imagery is one of the important domains in many civilian and military applications. This could be used for disaster monitoring, oil leakage, etc. We present an automatic approach for detection of circular shaped bright oil tanks with high accuracy. The image is first enhanced to emphasize the bright objects using a morphological approach. Then, the enhanced image is segmented using split-and-merge segmentation technique. Here, we introduce a knowledge base strategy based on the region removal technique and spatial relationship operation for detection of possible oil tanks from the segmented image using minimal spanning tree. Lastly, we introduce a supervised classifier, for identification of oil tanks, based on the knowledge database of large amount data of oil tanks. The uniqueness of the proposed technique is that it is useful for detection bright oil tanks from high as well as low resolution images, but the technique is always better for high-resolution imagery. We have systematically evaluated the algorithm on different satellite images like IRS – 1C, IKONOS, QuickBird and CARTOSAT – 2A. The proposed technique is detected bright structures but unable to detect the dark structure. If the oil tank structures are bright relative to the background illumination in the image then the detection accuracy by the proposed technique for the high resolution image is more than 95 per cent.Defence Science Journal, 2013, 63(3), pp.298-304, DOI:http://dx.doi.org/10.14429/dsj.63.273
- …
