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                <text>The global wellness industry is seeing a major shift in its relevance and growth post COVID-19. The fast-growing wellness industry is driven by organizations of all sizes and scope: large, medium, small and micro enterprises offering a range of services from holistic wellness offerings to focused services, such as beauty, spa, alternative therapy, gym and physical fitness. While we have heterogeneous businesses on the supply side, we have the entire global population on the demand side. Due to the size of the market and growth potential, the competition in wellness service space is intense. In such a situation, it is a challenge to register growth and sustain the same. The challenge is more pronounced for micro-entrepreneurs due to their limited resources and reach. It calls for a strategic approach to managing the businesses to endure the competition and succeed. Hence, wellness businesses are adopting Strategic Management Practices (SMPs) in greater numbers. However, not all strategies work. The purpose of this study is to analyze the impact of significant SMPs adopted by micro-entrepreneurs on business sustainability in the wellness industry. Responses of 392 microentrepreneurs from the wellness industry are recorded and analyzed for the SMPs adopted by them for the economic, environmental and social sustainability of their businesses. The study identified various strategic approaches that are implemented by micro-entrepreneurs in Mysore District and studied the impact SMPs had on sustainability factors of the wellness industry. A model is proposed to support the study. The results conclude that the application of a good amount of SMPs in the form of strategic entrepreneurship enhances the sustainability of a venture as well as the industry, aiding transformation from an unorganized to an organized sector and better regulations.  2024 by World Scientific Publishing Co. Pte. Ltd.</text>
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                <text>Sunitha S.P., MIT FGC, Karnataka, Mysore, India; Thomas P., CHRIST (Deemed to be University), Bangalore, India; Mahadev N., BNM Institute of Technology, Bangalore, India, Department of Business Administration, India</text>
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                <text>Available Transfer Capability (ATC) enhancement &amp;amp; optimization of UPFC shunt converter location with GSF in deregulated power system</text>
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                <text>Available Transfer Capability (ATC) is a measure for transmission system security margin in open access electricity market. Determining the Available Transfer Capability (ATC) of the transmission networks, Repeated Power Flow (RPF) approach have been used since it can satisfy voltage, thermal and stability constraints among all other methods available. The main objectives include identification of best location for UPFC to get maximum ATC enhancement and to propose a novel method for optimizing the UPFC PV bus location using Generation Shift Factor (GSF) so that power system transmission network can deliver more number of power trades.  2016 IEEE.</text>
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                <text>Sunny A.; Janamala V.</text>
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                <text>Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 978-150901277-0</text>
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                <text>Sunny A., Dept. of Electrical Engineering, Faculty of Engineering, Christ University, Bangalore, India; Janamala V., Dept. of Electrical Engineering, Faculty of Engineering, Christ University, Bangalore, India</text>
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                <text>Psychological distress among doctoral scholars: Its association with perseverance and passion</text>
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          <element elementId="49">
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                <text>Psychological distress; Students; Universities</text>
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                <text>Background: the study examined psychological distress and its association with perseverance and passion for long term goals among 400 Ph.D. scholars from Pondicherry University. MethODs: the sample collected through multi-stage convenience sampling technique was assessed using a structured Questionnaire, Depression, anxiety and stress scale (Dass-21), Grit scale and Flourishing scale. resULts: the results showed that 7.5% and 4.5% had severe and extremely severe depression, 12.5% and 20% had severe and extremely severe anxiety, and 5% and 1.5% had severe and extremely severe stress. the data was collected from one indian University and analyzed based the information gathered through self-report inventory. cONcLUsiONs: congenial family environment, good relationship with parents and friends were observed to be positive factors for psychological well-being. there is an urgent need to extend mental health support services to the PhD scholars especially for those who were suffering from severe and extremely severe psychological distress.  2020 Edizioni Minerva Medica Online version at http://www.minervamedica.it</text>
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                <text>Sunny A.M.; Ashraf F.G.T.; Sujith V.S.; Thomas S.; Chakraborty K.; Deb S.</text>
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                <text>Minerva Psichiatrica, Vol-61, No. 4, pp. 143-152.</text>
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                <text>&lt;a href="https://doi.org/10.23736/S0391-1772.20.02074-9" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.23736/S0391-1772.20.02074-9&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098671256&amp;amp;doi=10.23736%2FS0391-1772.20.02074-9&amp;amp;partnerID=40&amp;amp;md5=24b9fcef75d2f0aea8805fb3d8573398" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098671256&amp;amp;doi=10.23736%2fS0391-1772.20.02074-9&amp;amp;partnerID=40&amp;amp;md5=24b9fcef75d2f0aea8805fb3d8573398&lt;/a&gt;</text>
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                <text>Sunny A.M., Department of Applied Psychology, Pondicherry University, Puducherry, India; Ashraf F.G.T., Department of Applied Psychology, Pondicherry University, Puducherry, India; Sujith V.S., Department of Applied Psychology, Pondicherry University, Puducherry, India; Thomas S., Department of Psychology, Christ (Deemed to Be University), Bengaluru, India; Chakraborty K., Department of English, Pondicherry University, Puducherry, India; Deb S., Rajiv Gandhi National Institute of Youth Development, Ministry of Youth Affairs and Sports, Government of India, Sriperumbudur, India</text>
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      <name>Mphil</name>
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                <text>Influence of auto mobile magazines on customers

 In finalizing a choice of vehicle

</text>
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                <text>Sunny Ken </text>
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                <text>Automotive journalism is a new field that became popular in media with arrival of world leading vehicle manufacturers to India. There are number of new vehicle manufacturers entered to Indian market in the last decade. Automotive journalism got its grid with the flood of new vehicles in the market. Initially auto mobile news and related articles were just a part of the main news papers or magazines. The situation changed drastically with the introduction of auto mobile magazines in India. Flow of manufacturers towards Indian market is still happening and the number of vehicles from motorcycles to big trucks launching in Indian market is not easy to count. In this situation finding a right vehicle according to the need and budget is not an easy task to the customers who wants to buy a vehicle. Now, Indian vehicle market it so huge and test driving each and every car is not an easy task to choose one.  The situation forced the auto mobile journalism and automotive magazines to function as a separate field of journalism. The research tries to find out how far these auto mobile magazines are helpful to the people who want to buy a vehicle. Research then tries to analyse the readers of the auto mobile magazines and influence of magazine on customers in their decision making process.</text>
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                <text>Block cipher; Internet of things; Lightweight security solutions; Steganography</text>
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                <text>In the modern world, technology has connected to our day-to-day life in different forms. The Internet of Things (IoT) has become an innovative criterion for mass implementations and a part of daily life. However, this rapid growth leads the huge traffic and security problems. There are several challenges arise while deploying IoT. The most common challenges are privacy and security during data transmission. To address these issues, various lightweight cryptography and steganography techniques were introduced. These techniques help secure the data over the IoT. The hybrid of cryptography and steganography mechanisms provides enhanced security to confidential messages. Any messages can be secured by cryptography or by embedding the messages into any media files including text, audio, image, and video using steganography. Hence, this article has provided a detailed review of efficient, lightweight security solutions based on cryptography and steganography and their function over IoT applications. The objective of the paper is to study and analyze various Lightweight cryptography techniques and Steganography techniques for IoT. A few works of literature were reviewed in addition to their merits and limitations. Furthermore, the common problems in the reviewed techniques are explained in the discussion section with their parametric comparison. Finally, the future scope to improve IoT security solutions based on lightweight cryptography and steganography is mentioned in the conclusion part.  The Author(s) under exclusive licence to The Society for Reliability Engineering, Quality and Operations Management (SREQOM), India and The Division of Operation and Maintenance, Lulea University of Technology, Sweden 2024.</text>
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                <text>Supriya K S.; Lovesum S. P J.</text>
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                <text>International Journal of System Assurance Engineering and Management, Vol-15, No. 9, pp. 4210-4228.</text>
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                <text>Supriya K S., Christ University, Kengeri, India; Lovesum S. P J., Christ University, Kengeri, India</text>
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                <text>Adaptive algorithms in smart antenna beamformation for wireless communication</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="189048">
                <text>Adaptive Algorithm; Beamforming; LMS; NLMS; RLS; Smart Antenna</text>
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                <text>The challenges for today's wireless communication technology are increased data rates, channel capacity and spectrum efficiency with reduced interference. The adaptive antenna array is capable of adapting to the varying signal environments automatically and forms beams in the directions of the desired signals by steering nulls in the directions of interfering signals. Therefore smart antenna is the best solution to overcome the above mentioned challenges. Smart antennas uses advanced digital signal processing algorithms to enhance the detection of desired users in an interfering environment through spatial filtering. In this paper we will discuss the influence of Least Mean Squares (LMS), Recursive Least Squares (RLS) and Normalized Least Mean Square (NLMS) algorithms in adaptive beamforming. The simulations used for the study are carried out using MATLAB R2013a.  2016 IEEE.</text>
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                <text>Supriya R.; Shashi Kumar D.</text>
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                <text>International Conference on Communication and Signal Processing, ICCSP 2016, pp. 1850-1853.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICCSP.2016.7754490" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICCSP.2016.7754490&lt;/a&gt;
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                <text>ISBN: 978-150900396-9</text>
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                <text>Supriya R., Christ University, Bangalore, Karnataka, India; Shashi Kumar D., Department of Electronics and Communication Engineering, Christ University, Bangalore, Karnataka, India</text>
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                <text>Kitchen Waste Derived Porous Nanocarbon Spheres for Metal Free Degradation of Azo Dyes: An Environmental Friendly, Cost Effective Method</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="103445">
                <text>Azo degradation; Metal free; Oxidant free; Porous nanocarbon spheres</text>
              </elementText>
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            <description>An account of the resource</description>
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              <elementText elementTextId="103446">
                <text>A porous nanocarbon spheres (PNCSs) were prepared from kitchen waste and successfully used for the metal and oxidant free degradation of azo compounds. The PNCSs obtained by the pyrolysis of onion peel, at 1000C, were found to be effective catalysts for the reductive degradation of azo dyes in presence of hydrazine hydrate. The reductive cleavage of azo bonds (N=N) was achieved under microwave irradiation. The degradation process was completed in a span of 1040min; the process was monitored by ultravioletvisible spectroscopy. Fourier transform infrared spectroscopy was also used for the illustration of azo degradation. Interestingly, the reductive degradation of azo dyes produced corresponding amines and they were successfully reused for the preparation of fresh azo compounds. The work, therefore, highlights the valorization of largely produced kitchen-wastes to the sustainable PNCSs and it also provides a platform to demonstrate their applicability as highly cost-effective catalysts for bulk scale chemical transformations. Graphical Abstract: [Figure not available: see fulltext.].  2021, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</text>
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              <elementText elementTextId="103447">
                <text>Supriya S.; Ananthnag G.S.; Maiyalagan T.; Hegde G.</text>
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              <elementText elementTextId="103448">
                <text>Journal of Cluster Science, Vol-34, No. 1, pp. 243-254.</text>
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                <text>&lt;a href="https://doi.org/10.1007/s10876-021-02208-z" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s10876-021-02208-z&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122859097&amp;amp;doi=10.1007%2Fs10876-021-02208-z&amp;amp;partnerID=40&amp;amp;md5=069dfaf214a102b87d0b7608b4000911" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122859097&amp;amp;doi=10.1007%2fs10876-021-02208-z&amp;amp;partnerID=40&amp;amp;md5=069dfaf214a102b87d0b7608b4000911&lt;/a&gt;</text>
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                <text>ISSN: 10407278</text>
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                <text>Supriya S., Centre for Nano-Materials &amp;amp; Displays, B.M.S. College of Engineering, Bull Temple Road, Karnataka, Bengaluru, 560 019, India, Department of Chemistry, B.M.S. College of Engineering, Bull Temple Road, Karnataka, Bengaluru, 560 019, India; Ananthnag G.S., Department of Chemistry, B.M.S. College of Engineering, Bull Temple Road, Karnataka, Bengaluru, 560 019, India; Maiyalagan T., Department of Chemistry, SRM Institute of Science and Technology, Kattankulathur, 603 203, India; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur Rd, Bengaluru, 560029, India, Department of Chemistry, CHRIST (Deemed to be University), Hosur Rd, Bengaluru, 560029, India</text>
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                <text>Porous carbons derived from Arecanut seeds by direct pyrolysis for efficient CO2 capture</text>
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          <element elementId="49">
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              <elementText elementTextId="104073">
                <text>Arecanut kernel; Bioresource; Carbon nanospheres; CO&lt;sub&gt;2&lt;/sub&gt; capture</text>
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                <text>In this report, we demonstrate the preparation of a series of carbon nanospheres (CNSs) with high surface area and tunable sizes from natural bioresource, Arecanut kernels, by using direct pyrolysis. This method offers a convenient approach to induce porosity in the synthesized carbons without the need for an activating agent. The textural parameters including the specific surface area, pore volume, and pore size can be controlled by the simple adjustment of the carbonization temperature from 700 to 1000C. The CNSs prepared at 700C showed a low specific surface area, whereas the higher carbonization temperatures (8001000C) supported the rise in specific surface area of the products (433.61001.4 m2/g). The carbon, hydrogen, and nitrogen (CHN) analysis revealed that the CNSs exhibited a high purity with the carbon percentage ranging between 96 and 99%. The synthesized materials were tested as adsorbents for CO2 gas, and it was found that the CNSs with the highest specific surface area of 1001.4 m2/g registered the CO2 adsorption capacity of 14.1 mmol/g at 0C and 30 bar, which is a reasonably high value among reported porous carbons prepared without activation. This value of CO2 adsorption also stands above the activated carbon and multiwalled carbon nanotubes. The excellent CO2 adsorption capability of these adsorbents along with their low-cost synthesis offers a feasible pathway for designing such materials for other applications as well.  2021, Qatar University and Springer Nature Switzerland AG.</text>
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              <elementText elementTextId="104075">
                <text>Supriya S.; Singh G.; Bahadur R.; Vinu A.; Hegde G.</text>
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              <elementText elementTextId="104076">
                <text>Emergent Materials, Vol-5, No. 6, pp. 1757-1765.</text>
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                <text>Institute for Ionics</text>
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                <text>Surekha N.P., Christ University Pune, Department of Data Science, Lavasa, India; Nanjundan P., Christ University Pune, Department of Data Science, Lavasa, India; Bashir S., Christ University Pune, Department of Data Science, Lavasa, India</text>
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                <text>Thyroid disease refers to a wide range of disorders that occur due to dysfunction of the thyroid gland, a small gland located at the base of the neck that produces thyroid hormones. Through the analysis of this comprehensive dataset, we aim to utilize machine learning (ML) techniques for the analysis and classification of thyroid data. Employing ML techniques for thyroid classification has the potential to improve diagnostic accuracy, facilitate timelier interventions, lower expenses, optimize doctor time, and foster a more personalized approach to thyroid care. The objective of this research was to conduct multiclassification, encompassing the broadest array of classes for the target variable. To address the imbalances within the dataset, we employed the Synthetic Oversampling Technique (SMOTE) as a resampling method. Specifically, classes with a minimum of 10 samples were retained, resulting in the inclusion of 19 out of the total 34 classes in the dataset. The importance of SMOTE in addressing class imbalance is examined in this chapter, with an emphasis on how it may be used to enhance classifier model performance. Moreover, we conducted a comparative analysis of Classification Models, including Random Forest, K-Nearest Neighbor, Decision Tree, SVM, Gradient Boosting, Multinomial Naive Bayes, and Logistic Regression, to assess their accuracies. Following the resampling of the dataset, the highest accuracy of 99.99% was achieved with the gradient booster. Additionally, this research incorporated the association rule technique to uncover meaningful relationships within the dataset.  2025 selection and editorial matter, Arun Kumar Rana, Vishnu Sharma, Sanjeev Kumar Rana, and Vijay Shanker Chaudhary; individual chapters, the contributors. All rights reserved.</text>
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