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                <text>A picture is worth a thousand words, uploading images immediately attract attention a comments or tweets. Images are able to trigger multiple emotions and are effectively used for propaganda. Visual propaganda stands for usage of images to fulfil propaganda goals. These images carry meaning, emotion and a purpose.</text>
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                <text>Patent Number: 202041002544, Applicant: Erumalla Venkatanagaraju. Rapid urbanization and increase in population have evoked tremendous attention for biofuels production to combat shortage of fuels, environmental concerns, foreign exchange savings and socioeconomic issues. In recent years bioethanol production from agro-industrial wastes acquired a prominent place to fulfil the gap between production and demand.</text>
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                <text>Patent Number: 202041005122, Applicant: Erumalla Venkatanagaraju.&#13;
Vitamins are available in abundant quantities in all natural resources. Inadequate intake of vitamins lead to severe abnormalities. Because of the rapid civilization, limited land resources, busy lifestyle and limited awareness, attention on the natural vitamin resources wafted towards Nutraceuticals that are supplemented with synthetic vitamin sources and preservatives. In order to bring awareness about the availability of bioactivevitamins in natural food sources, the current design, VITAWARE-CULS 2020 Kitwas developed.</text>
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                <text>Approximate multiplier designs can improve their energy efficiency and performance with only a slight loss in accuracy by using approximate arithmetic circuits. This method is appropriate for applications where an approximative answer is acceptable because it uses a range of calculation approaches to those priorities, returning a potentially erroneous result above one that is assured to be exact. The basic idea underlying approximate computing is that, while accurate calculation may require a lot of resources, bounded approximation can result in considerable speed and energy efficiency advantages without sacrificing accuracy. The approximate 4:2 compressor and exact compressors, as well as half adders and full adders, make up the proposed approximate multiplier. The steps of the multiplier architecture are optimised using the recently suggested modified Wallace Tree Multiplier Architecture. When compared to previous designs, the proposed multiplier architecture can generate outcomes with the least amount of inaccuracy. The multiplier architecture is also finished in just two steps. The Modified Wallace Tree Architecture used in the suggested approximate multiplier excels by providing an error rate of 71.80% and a mean error of 173.82. As a result, the mean ? error Product improved by 10%, the error rate improved by 23.3%, and the mean error increased by 31.04%. This is accomplished by the proposed approximate multiplier with a small increase of 22.36% in total power consumption.  2023 IEEE.</text>
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                <text>Balamanikandan A.; Suresh K.; Gnanaprakasam D.; Saranya K.</text>
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                <text>2023 2nd International Conference on Trends in Electrical, Electronics and Computer Engineering, TEECCON 2023, pp. 353-358.</text>
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                <text>Balamanikandan A., Sree Vidyanikethan Engineering College, Department of ECE, Tirupati, India; Suresh K., Christ Deemed to Be University, Department of EEE, Bangalore, India; Gnanaprakasam D., Dr.Mahalingam College of Technology, Department of EEE, Pollachi, India; Saranya K., Dr.Mahalingam College of Technology, Department of EEE, Pollachi, India</text>
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                <text>VNPR system using artificial neural network</text>
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                <text>otsu method; Probablistic neural network; Projection method; Radial basis layer; VNPR</text>
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                <text>Vehicle number plate recognition (VNPR) is a technique used to extract the license plate from a sequence of images. The extracted information in the database can be used in the applications like electronic payment systems such as toll payment, parking lots etc. An effective VNPR can be implemented based on the quality of the acquired images. It is used for real time application and it has to recognize the number plates of all types under different environmental conditions. Different algorithms has been used which depends on the features present in the images. It should be generalised to extract different types of license plate from the images. In this paper we propose a new method which is robust enough to recognize the characters from the number plates with help of artificial neural network. This algorithm is practical for the front view and rear view of orientation of the vehicle.  2016 IEEE.</text>
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                <text>George A.; Pillai V.J.</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>George A., Christ University, Faculty of Engineering, Department of Electronics and Communication Engineering, Kanminike, Mysore Road, Banglore, 560060, India; Pillai V.J., Christ University, Faculty of Engineering, Department of Electronics and Communication Engineering, Kanminike, Mysore Road, Banglore, 560060, India</text>
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                <text>Vocational training course preferences among Sikkimese youth</text>
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              <elementText elementTextId="152089">
                <text>Unemployment is one of the major issues in modern times. High unemployment rates affect a country's economic growth, mental wellbeing of an individual and his/her family members, and create unrest in society. Vocational training is one of the most crucial elements in the competitive and developing world. Through the provision of real-world experience, vocational training aids in developing skills. This study aims to highlight the aspirations of the people of Sikkim concerning vocational training and find its challenges and hindrances. With the help of a structured questionnaire, responses were taken from the youth of Sikkim, India and their perception about opting for different vocational training courses were taken. Upon analyzing the data, it was found that males are more inclined towards cooking and baking classes, repair of mobiles, laptops and other electronic accessories, and repair of bikes and automobiles. Females, on the other hand, wanted to focus on makeup and beautician courses, jewelry design, floriculture, and towards repair of mobile and computers.  2023, IGI Global.</text>
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                <text>Voices of the Future: Generation Zs Views on AIs Ethical and Social Impact</text>
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                <text>As artificial intelligence (AI) becomes increasingly integral to modern society, its profound implications are coming to the forefront of discussions. This research paper investigates the perspective of Generation Z on the multifaceted societal and ethical impacts of AI. Gen Z is the first generation to fully embrace AI across all facets of life. Therefore, understanding their attitudes, concerns, and expectations towards AI is imperative for cultivating a responsible, adaptable, and ethically conscious society in the AI-driven era. This study addresses a significant research gap by exploring Gen Zs perceptions of the challenges associated with AI, such as issues related to privacy, data security, transparency, bias, public fear and more. It also examines the impact of AI on employment dynamics, specifically on job displacement and the necessity for reskilling in the face of AI-driven automation. The paper adopts a global perspective, acknowledging the variations in perception influenced by cultural, economic, and historical factors. Leveraging a sample size of approximately 200250 respondents aged 1825years, the research aims to provide a comprehensive view of Gen Zs viewpoints on AIs ethical and societal ramifications. Findings emphasize the need for transparent and accountable AI systems, as Gen Z is uncomfortable with the ambiguity in AI algorithms. Concerns about privacy and data security highlight the necessity for robust safeguards. They also advocate for strategies to address job displacement and ensure harmonious coexistence between humans and AI. In education, Gen Z sees AI as transformative, endorsing personalized learning. They stress the importance of regulatory frameworks to combat AI bias. They recognize AIs potential to enhance human connections and combat social isolation. The studys findings contribute to policy discussions, educational strategies, and business practices, offering insights into how to harness AIs benefits while mitigating its potential pitfalls.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.</text>
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                <text>Gupta A.; Pranathy R.S.; Binny M.; Chellasamy A.; Nagarathinam A.; Pachiyappan S.; Bhagat S.</text>
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                <text>Studies in Systems, Decision and Control, Vol-223, pp. 367-386.</text>
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                <text>ISSN: 21984182</text>
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                <text>Gupta A., School of Business and Management, BBAH, CHRIST(Deemed to be University), Bengaluru, India; Pranathy R.S., School of Business and Management, BBAH, CHRIST(Deemed to be University), Bengaluru, India; Binny M., School of Business and Management, BBAH, CHRIST(Deemed to be University), Bengaluru, India; Chellasamy A., School of Business and Management, CHRIST(Deemed to be University), Bengaluru, India; Nagarathinam A., School of Business and Management, CHRIST(Deemed to be University), Bengaluru, India; Pachiyappan S., School of Business and Management, CHRIST(Deemed to be University), Bengaluru, India; Bhagat S., School of Business and Management, CHRIST(Deemed to be University), Bengaluru, India</text>
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                <text>Voicing Out Parental Experiences of Schooling Their Children with Learning Disabilities: A Qualitative Study of Inclusive Government Schools of India</text>
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                <text>The paper shone light on the lived experiences of parents of children with learning disabilities. The specific objective was to understand the challenges, experiences and aspirations of parents for their children. A phenomenological study was adopted for the study so as to focus on the experiences of the parents. Participants were parents (female- 17 and male- 3) of children in primary classes, who were identified through purposive sampling from government schools of Delhi, NCR from 3 underdeveloped areas of Delhi - Nangloi, Mangolpuri and Ranhaula. The data was collected by semi-structured interviews and later thematically analyzed. The findings were on the basis of the past and present experiences and further their future aspirations for the children. They revealed that the parents faced challenges with applying and issuance of the UDID certificates, but with the collaborative efforts of the special educator and the parents along with various support systems that are provided by the school their experiences became positive. It was also brought to light that the mother was the main caregiver in most of the cases. All the parents were worried, what will happen to their children if they are not there with them. They aspired that the students will be financially independent and have a safe future ahead of them. They dream of a society where all the students are equal in an inclusive environment.  The Author(s) 2025.</text>
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                <text>Khanna R.; Kareem J.</text>
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                <text>ISSN: 10567879</text>
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                <text>Khanna R., School of Education, CHRIST (Deemed to be University), Bangalore, India; Kareem J., School of Education, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>ARCH LM; GARCH; High-frequency data; Nifty Energy index; Stationarity test; Volatility</text>
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                <text>Volatility has become increasingly important in derivative pricing and hedging, risk management, and portfolio optimisation. Understanding and forecasting volatility is an important and difficult field of finance research. According to empirical findings, stock market returns demonstrate time variable volatility with a clustering effect. Hence, there is a need to determine the volatility in Indian stock market. The authors use Nifty Energy data to analyse volatility since the Nifty Energy data can to be used to estimate the behaviour and performance of companies that represents petroleum, gas, and power sector. The results reflect that Indian stock market has high volatility clustering.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Balaji L.; Anita H.B.; Ashok Kumar B.</text>
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                <text>Lecture Notes on Data Engineering and Communications Technologies, Vol-131, pp. 667-681.</text>
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                <text>Balaji L., Christ University, Bengaluru, 560029, India; Anita H.B., Christ University, Bengaluru, 560029, India; Ashok Kumar B., Bangalore University, Bengaluru, 560056, India</text>
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                <text>Volatility in Indian stock markets during COVID-19: An analysis of equity investment strategies</text>
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                <text>The aim of the paper is to evaluate the impact of novel COVID-19 on the returns and volatility of Indian stock markets with special reference to equity investment strategies of the Bombay Stock Exchange. For the purpose of evaluating the impact, the study has applied GARCH. The research has considered a time frame from March 2015 to January 2021. Prior to implementing GARCH model, pre-estimation tests (i.e., augmented Dickey-Fuller and ARCH-Lagrange multiplier) were conducted. Outcomes clearly indicate that the returns during the crisis for all the strategy indices have been negative, which means that the COVID-19 outbreak resulted in massive losses. Additionally, 'during crisis' period showed an increase in volatility for all the strategy indices depicting that the pandemic has a long-lasting effect and will take time to fade off. This research will help the investors in the investment decision process by giving them insights about the different strategies.  2021.</text>
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                <text>Gupta K., Amity University, Noida, India; Das S., Christ University (Deemed), India; Gupta K., Symbiosis International University (Deemed), India</text>
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                <text>Volatility Spillover Effects in Cryptocurrencies  </text>
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                <text>Cryptocurrencies' growing use has increased investors and decision- makers interest. Cryptocurrencies' volatility and how it impacts others is
most intriguing. Arguments include speculative pressures, valuation uncertainty, and lack of regulation. These traits cannot fully explain
cryptocurrency volatility and volatility spillovers, suggesting other relevant factors. In this study, currency volatility and spillovers, as well as
their relationship with the sentiment of global investors, were investigated. The study analysed 22 cryptocurrencies from 01/01/2018 to 31/12/2022.
The study used FIGARCH and FIEGARCH, a GARCH family model to analyse the long-memory and leverage effects on cryptocurrency volatility,
the ADCC-GARCH framework, and the Diebold-Yilmaz spillover index to analyse cryptocurrency volatility spillovers. The long-memory and
leverage impacts on bitcoin volatility were analysed using the FIGARCH and FIEGARCH models from the GARCH family. Both the Chow-test and
the Pai-Berron Test found structural breaks in the cryptocurrencies. Cryptocurrencies such as Adacordono, Aertinity, ARK, BAT, BCH, BNT,
BTC, Dogecoin, Ethereum, Funtoken, ICON, KMD, KNC, NEO, PIVX, QTUM, SNT, TRX, ZCASH, have positive (difference) FIGARCH
coefficient values. It indicates a long memory in currencies, and volatility shocks affect future volatility. On the other hand, the FIGARCH
coefficient of BTG cryptocurrency (difference) is negative (-0.035), which suggests that the individual has a short memory. In this scenario, the effects
of volatility shocks are only temporary. When extreme volatility is promptly followed by low volatility or vice versa, this indicates anti-
persistence. The study also found that both positive and negative news has a significant impact on the volatility of specific cryptocurrencies such as
BCH (0.015), BNT (0.0016), BTG (0.01972), DOGE (0.2296), EOS (0.0112), KNC (0.0366), PIVX (0.0021), TRX (0.0013), Adacordono (-
0.027), Aertinity (-0.0393), ARK (-0.0377), BAT (-0.028058), and BTC (-0.0665). Ethereum has the largest spillover (4.09), followed by QTUM
(4.06), EOS (4.05), Adacordono (4.05), and Dogecoin (2.4). All cryptocurrencies show fundamental instabilities (P-values less than 0.05).
Hence the alternative hypothesis is accepted, and the null hypothesis is rejected. The hill estimator tail index value is ? &amp;gt; 0, fat tail or heavy tail;
high chance of catastrophic event which is observed in all the 22 cryptocurrencies. Both investors and speculators can use sentiment
analysis to forecast market volatility and generate gains. Policymakers can also utilize this information to establish laws that reduce market volatility.
As a result, the study contributes to the ongoing discussion on the factors that cause bitcoin's volatility.3</text>
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                <text>Chavan, Rajkumar Dhaku</text>
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                <text>Christ(Deemed to be University)</text>
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                <text>A, Senthil Kumar</text>
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                <text>Open Access</text>
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                <text>CHRIST (Deemed to be University)</text>
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                <text>Voltage stability analyis of radial distribution systems by considering load models</text>
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            <description>The topic of the resource</description>
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                <text>backward/forward sweep load flow; distribution system; load models; voltage stability</text>
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                <text>Generally, the distribution systems have served for different types of loads like commercial, industrial, residential, agriculture and municipality etc. and diverse changes in consumption pattern occur at any part of the network at any time of the day. During light loading condition, the voltage profile can increase and vice versa for peak loading condition. Under these circumstances, it is worthwhile to understand the voltage stability for planning of any Volt/VAr controls. This paper has presented the voltage stability analysis of 12-bus and 85-bus standard radial distribution systems using line stability index. Different load models have been taken and under each model, the system performance as well as its stability discussed. The focal points are suitable for planning studies like Volt/VAr controls, optimal location of Distribution Generation (DG) or load shedding etc.  2018 IEEE.</text>
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                <text>Janamala V.; Monica M.S.</text>
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                <text>Proceedings of the 2018 International Conference On Communication, Computing and Internet of Things, IC3IoT 2018, pp. 180-185.</text>
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              <elementText elementTextId="188020">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/IC3IoT.2018.8668125" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/IC3IoT.2018.8668125&lt;/a&gt;
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="188023">
                <text>Restricted Access</text>
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                <text>ISBN: 978-153862458-6</text>
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                <text>Janamala V., Dept. of Electrical and Electronics Engineering, Power Systems Engineering, Christ University, Bengaluru, 560074, India; Monica M.S., Dept. of Electrical and Electronics Engineering, Power Systems Engineering, Christ University, Bengaluru, 560074, India</text>
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                <text>Voltage stability analysis using L-index under various transformer tap changer settings</text>
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                <text>IEEE 14 Bus; L-index; Reactive power; transformer tap changer; Voltage stablity</text>
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                <text>Voltage stability is a major problem in power system which depended on many factors like improper load forecasting, generator outage, line fault and shortage of reactive power supply etc. For a secure and economic power system operation voltage stability should be maintained within permissible limit. Voltage stability is a measure of whole power system quality. Voltage stability studies can done by analyzing reactive power production, transmission of power and consumption. In this paper voltage stability analysis of an IEEE 14 bus system is done by calculating L-index of the buses. From load flow studies optimized voltage is chosen, and by using these voltage values L-index is calculated. From the calculated L-index values we can find out vulnerable buses. How the transformer tap changing effect the voltage stability is also calculated here.  2016 IEEE.</text>
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                <text>Ram T.A.V.; Haneesh K.M.</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>Ram T.A.V., Dept. of Electrical Engineering, Faculty of Engineering, Christ University, Banagalore, India; Haneesh K.M., Dept. of Electrical Engineering, Faculty of Engineering, Christ University, Banagalore, India</text>
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                <text>Voluntary cybersecurity risk disclosures and firms characteristics: the moderating role of the knowledge-intensive industry</text>
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                <text>Purpose: This study examines voluntary cybersecurity risk disclosures (VCRD) by listed Indian companies. It also investigates how it relates to firm-specific characteristics such as size, leverage, profitability, liquidity, beta, market growth and industry. Design/methodology/approach: The extent of VCRD was measured by assessing the cumulative occurrence of cybersecurity risk keywords in the annual report of 100 listed Indian non-financial companies. Keyword extraction and occurrence counts were performed using Python software. A multiple regression analysis was applied to predict the characteristics of VCRD. Findings: The results showed that the theoretical frameworks underpinned by agency and signalling theories continued to provide a valid explanation of VCRD by Indian companies. Specifically, the findings emphasized the importance of firm size, leverage, and beta as significant VCRD determinants. Additionally, the study found that knowledge-intensive industries had a favourable impact on the extent of VCRD. Research limitations/implications: This study is relevant because it informs company management, regulators and investors about the nature and characteristics of companies that satisfy stakeholder demands to prevent cyber breaches. Originality/value: Understanding disclosure characteristics is crucial from policy and regulatory perspectives. Studies on cybersecurity disclosures are related to developed economies such as the United States of America and Canada. This is the first study to explore this issue in a developing nation, in general, and in India, in particular, where cybersecurity risk disclosure has yet to be recognized.  2025, Harmandeep Singh.</text>
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                <text>Asian Journal of Accounting Research</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215929608&amp;amp;doi=10.1108%2FAJAR-12-2023-0413&amp;amp;partnerID=40&amp;amp;md5=c0a78af60d01dd78b1973f4b180423ae" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85215929608&amp;amp;doi=10.1108%2fAJAR-12-2023-0413&amp;amp;partnerID=40&amp;amp;md5=c0a78af60d01dd78b1973f4b180423ae&lt;/a&gt;</text>
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                <text>ISSN: 24599700</text>
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                <text>Singh H., School of Commerce, Finance and Accountancy, Christ University, Bangalore, India</text>
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                <text>Volunteering-based student engagement: A model for student well-being in higher education institutions</text>
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          </element>
          <element elementId="49">
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            <description>The topic of the resource</description>
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              <elementText elementTextId="150338">
                <text>Helping attitude; Higher education institution; Personal responsibility; Social responsibility; Student engagement; Student well-being; Volunteering</text>
              </elementText>
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                <text>Student well-being issues are rising alarmingly, and addressing these well-being concerns takes the predominant focus of higher education institutions, together with competency building. Understanding the importance of student engagement in student well-being, Christ University, Bengaluru, India, adopted a student engagement model based on volunteering. The current paper tries to understand the dynamics between volunteering and student well-being. It explores the relationship between volunteering and personal responsibility, social responsibility, meaning in life, and a helping attitude. It also tries to check whether the relationship between a helping attitude and student well-being is mediated by personal responsibility and social responsibility. Further, it explores whether volunteers and non-volunteers differ in their social responsibility, personal responsibility, and student well-being. A group of 350 students, of which 175 volunteers and 175 non-volunteers, were approached to participate in the study. Post data cleaning procedure, 327 data points qualified for analysis, and it was found that there exists a relationship between volunteering and personal responsibility, social responsibility and helping attitude, and personal responsibility and social responsibility mediated the relationship between helping attitude and student well-being. Results also revealed that volunteers and nonvolunteers differed in their helping attitude, personal responsibility, and student well-being. These findings point towards the fact that the student engagement model based on volunteering has a positive impact on student well-being. A detailed discussion of the application of these findings is provided in the full paper.  2024 Nova Science Publishers, Inc.</text>
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                <text>Chennattuserry J.C.; Thomas S.; Jose P.M.</text>
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                <text>Models for Social Responsibility Action by Higher Education Institutions, pp. 265-288.</text>
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              <elementText elementTextId="150342">
                <text>Nova Science Publishers, Inc.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183081788&amp;amp;partnerID=40&amp;amp;md5=a19d967e439323570c7b7bc75ff501bf" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183081788&amp;amp;partnerID=40&amp;amp;md5=a19d967e439323570c7b7bc75ff501bf&lt;/a&gt;</text>
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                <text>ISBN: 979-889113251-1; 979-889113097-5</text>
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                <text>Chennattuserry J.C., Christ University, Bengaluru, India; Thomas S., Christ University, Bengaluru, India; Jose P.M., Christ University, Bengaluru, India</text>
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                <text>Vulnerability of urban ecology of Bangalore: An examination of its contention with the politics of land administration</text>
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                <text>Through a critical examination of questions on the politics of land tenures, the study brings out two interpretations on the conflicts of land and water governance: (1), the concerted efforts and the physical processes of scaling the water terrain in parallel to the political missions of administering the land; and (2), how the scalar rearrangements of land at a local scale intersect with water, revealing the new structuration of land fragmentation and water. It demonstrates that the State has been instrumental in the process of the scalar deterioration of the urban wetlands in Bangalore since 1873. The comprehensive study of these political realignments of land and water, using the data from the Records of Rights obtained from the land revenue records of the Office of the Land Survey Settlement and Records Department under the Government of Karnataka, reveals the vulnerability of urban ecology as a corollary to land administration.  Pieter Van den Broeck, Asiya Sadiq, Ide Hiergens, Monica Quintana Molina, Han Verschure and Frank Moulaert 2020.</text>
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                <text>Suseelan A.; Rameshwar P.V.K.</text>
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                <text>Communities, Land and Social Innovation: Land Taking and Land Making in an Urbanising World, pp. 153-165.</text>
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                <text>Edward Elgar Publishing Ltd.</text>
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                <text>2020-01-01</text>
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                <text>&lt;a href="https://doi.org/10.4337/9781788973779.00015" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4337/9781788973779.00015&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137424977&amp;amp;doi=10.4337%2F9781788973779.00015&amp;amp;partnerID=40&amp;amp;md5=f1ceac41a7bbbcb76064810327da83b4" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85137424977&amp;amp;doi=10.4337%2f9781788973779.00015&amp;amp;partnerID=40&amp;amp;md5=f1ceac41a7bbbcb76064810327da83b4&lt;/a&gt;</text>
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                <text>ISBN: 978-178897377-9; 978-178897376-2</text>
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                <text>Suseelan A., CHRIST University, Bangalore, India; Rameshwar P.V.K., Shilanyas Design Consultants, Ahmedabad, India</text>
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