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                <text>Impact of Leverage on Valuation of Non-Financial Firms in India under Profitabilitys Moderating Effect: Evidence in Scenarios Applying Quantile Regression</text>
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                <text>debt ratio; firm value; net profit margin; profitability; sales</text>
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                <text>The firms valuation (FV) is the key element for all stakeholders, particularly the investors, for their investment decisions. The main impetus of this research is to estimate the effects of the debt ratio (DR, i.e., leverage) on the FV (i.e., assets and market capitalisation) of the non-financial firms listed in India. The quantile panel data regression (QPDR) on the secondary data of 76 non-financial BSE-100 listed firms in India is employed. This study also checks the effect of the net profit margin (NPM) as profitability on the association between DR and FV. The QPDR estimates result in multiple quantiles and provide evidence in scenarios. The findings reveal a positive relationship of DR to assets only in higher quantiles, i.e., 90%ile), and a negative association of DR is found with a market capitalisation in all quantiles. Under the interaction effect, profitability (NPM) does not affect the association of DR with assets but negatively affects the association of debt ratio with market capitalisation in the middle (50%) quantile. The findings indicate that leverage (DR) affects a firms value. The studys outcomes are helpful to all stakeholders, particularly investors, to realise the leverage (DR) as a critical indicator of FV before making any investment decisions. Managers should also consider lower debt ratios for better firm value. The present analysis is original and holds novelty in the form of the moderating role of the net profit margin, i.e., the profitability of the firm between DR and FV in the non-financial firm in India. To the best of our knowledge, no such studies have been performed to look for the association of the debt ratio with a firms value under the effect of profitability in different quantiles using quantile regression.  2023 by the authors.</text>
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                <text>Kanoujiya J.; Jain P.; Banerjee S.; Kalra R.; Rastogi S.; Bhimavarapu V.M.</text>
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                <text>Journal of Risk and Financial Management, Vol-16, No. 8</text>
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                <text>Multidisciplinary Digital Publishing Institute (MDPI)</text>
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                <text>&lt;a href="https://doi.org/10.3390/jrfm16080366" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.3390/jrfm16080366&lt;/a&gt;
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                <text>ISSN: 19118074</text>
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                <text>Kanoujiya J., Symbiosis Institute of Business Management, Symbiosis International (Deemed University), Pune, 412115, India; Jain P., Amity Business School, Amity University, Gwalior, 474020, India; Banerjee S., Management Development Institute Murshidabad, Murshidabad, 742235, India; Kalra R., School of Business and Management, CHRIST (Deemed to be University), Bangalore, 560029, India; Rastogi S., Symbiosis Institute of Business Management, Symbiosis International (Deemed University), Pune, 412115, India; Bhimavarapu V.M., Symbiosis School of Banking and Finance, Symbiosis International (Deemed University), Pune, 412115, India</text>
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                <text>Impact of Life Skills Education on Self-Esteem among Adolescents in Childrens Home</text>
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                <text>Thomas Sheji </text>
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                <text>The aim of the current study was to assess the impact of life skills education on self-esteem among adolescents in Childrens Home. The design was experimental and used a pre-test/ post-test design with a control group. Sixty adolescents (30 males and 30 females) from Childrens Home comprised the experimental group (N=30) and control group (N= 30) who were selected from Childrens Homes in Kannur district, Kerala. A life skills education programme was prepared and included sessions towards improving self-esteem among adolescents in the age group 13-15 years. The Rosenbergs Self-Esteem Scale (1965) was administered before and after the life skills education programme to the adolescents. The results indicate that there was a significant difference between the experimental and control group in their self-esteem after life skills education programme including gender differences. The implication of the study reiterates that the inclusion of life skills as part of the curriculum for adolescents residing in Childrens Home plays a role in enhancing self- esteem. 

Key Words: Self-Esteem, Adolescent, Childrens Home, Life Skills Education

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                <text>Impact of Livelihood Strategies on the Dependence on Agriculture in Arid Regions of Andhra Pradesh, India</text>
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                <text>Agriculture Dependence Framework; Dependency; Livelihood Capitals; Livelihood Strategy; Sustainable Livelihoods</text>
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                <text>The livelihood risks tend to change households capital, assets, or resources by impacting the value of their asset portfolio. This study attempts to understand various risks and how these risks affect the farming communitys livelihoods in the designated areas. Also, this research attempts to understand the relationships between risks and livelihood capital to develop effective measures to improve their well-being and suggest various policies to help farmers cope with these risks in the most effective ways. The study used a sample of 827 farmers from Andhra Pradesh, India. The ordinal logistic regression findings revealed that knowledge capital (knowledge on nutrient deficiency, disease and pests and access to information), social capital (community membership and access to natural resources and services) and financial capitals have a significant impact on the selection of livelihood strategies.  2022 Management Development Institute.</text>
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                <text>Sreelakshmi P.; Basavaraj S.</text>
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                <text>&lt;a href="https://doi.org/10.1177/09722629221131104" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/09722629221131104&lt;/a&gt;
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                <text>Sreelakshmi P., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Basavaraj S., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bangalore, India</text>
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                <text>Impact of lockdown during COVID-19 pandemic on the learning status of undergraduate and postgraduate students of Bangalore</text>
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                <text>COVID-19; lockdown; pedagogy; undergraduate and postgraduate students</text>
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                <text>Background: The COVID 19 pandemic has created various impacts on every human's life. COVID 19 lockdown has provoked enormous changes in the education sector which in turn influences the student's life in many aspects. The scope of this study is to understand the impact in both undergraduate and postgraduate students. Aim: This study aims at incisively analyzing the impact of lockdown imposed due to the COVID-19 pandemic on graduate students of Bangalore. Method: It is an online survey that encompasses a structural questionnaire with open-ended questions created using Google Forms, which were sent across the students through social media platforms. Results: A total of 115 students from both undergraduate and postgraduate programs have participated in this survey. Simple percentage distribution was estimated to evaluate the pedagogy, opinion on educational decisions, modes of learning, socio-economic conditions, and problems pertaining to academia because of this pandemic. As per this analysis, 80.9% of students faced difficulty due to lockdown. 67% of students thought that their family's income will be affected by this pandemic. 68.7% of students felt stressed, depressed and 52.3% of students could not find a suitable environment in their home to study during this lockdown. When we see this pandemic in an optimistic light, it has created various opportunities such as Digital learning and adoption of new health habits.  2021. RIGEO. All Rights Reserved.</text>
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                <text>Latha R.S.; Karalam S.</text>
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                <text>Review of International Geographical Education Online, Vol-11, No. 5, pp. 2556-2569.</text>
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                <text>Eskisehir Osmangazi University</text>
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                <text>&lt;a href="https://doi.org/10.48047/rigeo.11.05.153" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.48047/rigeo.11.05.153&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117189018&amp;amp;doi=10.48047%2Frigeo.11.05.153&amp;amp;partnerID=40&amp;amp;md5=baf007d7c9a0093ccbbdc3792e5f00b1" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117189018&amp;amp;doi=10.48047%2frigeo.11.05.153&amp;amp;partnerID=40&amp;amp;md5=baf007d7c9a0093ccbbdc3792e5f00b1&lt;/a&gt;</text>
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                <text>Latha R.S., Department of Sociology &amp;amp; Social Work, CHRIST (Deemed to be University), Bangalore, Karnataka; Karalam S., Department of Sociology &amp;amp; Social Work, CHRIST (Deemed to be University), Bangalore, Karnataka</text>
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                <text>Compost; Lysinibacillus macroides; Nitrogen fixing; PGPR; Pseudomonas fluorescens; Solanum lycopersicum</text>
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                <text>Plant growth promoting bacteria enhance the growth in plants by solubilizing insoluble minerals, producing phytohormones and by secreting enzymes that resist pathogen attack. The present study was aimed at identifying the potential of Lysinibacillus macroides isolated from pea plant possessing rich microbial rhizobiome diversity in promoting the growth of tomato plant (Solanum lycopersicum L.). Potential of L. macroides in the promotion of S. lycopersicum L. growth by increased shoot length, terminal leaf length and breadth was assessed. Anatomical sectioning of stem and root revealed no varied cellular pattern indicating that the supplemented bioculture is not toxic to S. lycopersicum. Plantlets treated with L. macroides along with organic compost showed an increased total phenol content (17.580.4 mg/gm) compared to control samples (12.440.41 mg/g). Carbohydrate content was noticed to be around 1.3 folds higher in the L. macroides plus compost mixture supplemented slots compared to control sample. Significant increase in shoot length was evident in the L. macroides plus compost supplied slots (23.42.7 cm). Plant growth promoting properties might be due to the nitrogen fixing activity of the bacteria which enrich the soil composition along with the nutrients supplied by the organic compost. Rich microbial rhizobiome diversity in pea plant and the usage of L. macroides from a non-conventional source improves the diversity of the available PGPR for agricultural practices. Further research is needed to detect the mechanism of growth promotion and to explore the plant microbe interaction pathway.  Jyolsna et al. (2021).</text>
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                <text>Plant Science Today, Vol-8, No. 2, pp. 365-372.</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 23481900</text>
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                <text>Jyolsna K.S., Department of Life Sciences, CHRIST (Deemed to Be University), Bengaluru, Karnataka, 560 292, India; Bharathi N., Department of Life Sciences, CHRIST (Deemed to Be University), Bengaluru, Karnataka, 560 292, India; Riyaz Ali L., Department of Life Sciences, CHRIST (Deemed to Be University), Bengaluru, Karnataka, 560 292, India; Paari K., Department of Life Sciences, CHRIST (Deemed to Be University), Bengaluru, Karnataka, 560 292, India</text>
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                <text>algorithmic bias; artificial intelligence; disease outbreak prediction; public health</text>
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                <text>This research paper examines the utilization of Artificial Intelligence (AI) in disease outbreak prediction and its importance in public health. It explores the hurdles associated with predicting disease outbreaks, including data quality and accessibility, ethical considerations, algorithmic bias, and integration and interpretability challenges. The paper presents an overview of AI techniques applied in healthcare and their relevance to forecasting disease outbreaks. Case studies demonstrate the efficacy of AI -based models in predicting infectious diseases, vector-borne diseases, and epidemics/pandemics, employing diverse data sources. The limitations and future prospects of AI in disease outbreak prediction are addressed, accompanied by recommendations for enhancement. In conclusion, the paper highlights AI's potential to revolutionize disease outbreak prediction, leading to proactive public health interventions and improved response strategies.   2023 IEEE.</text>
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                <text>2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2023, pp. 1020-1025.</text>
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                <text>Singhal M., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Mishra S., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Sharma V., Christ (Deemed to Be University), Computer Science Department, Delhi NCR, India; Anand K., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Alkhayyat A., College of Technical Engineering, The Islamic University, Najaf, Iraq</text>
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                <text>Impact of Machine Learning Algorithms in Intrusion Detection Systems for Internet of Things</text>
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                <text>The importance of security aspects is increased recently due to the enormous usage of IoT devices. Securing the system from all sorts of vulnerabilities is inevitable to use IoT applications. Intrusion detection systems are power mechanism which provides this service. The introduction of artificial intelligence into intrusion detection systems can further enhance its power. This paper is an attempt to understand the impact of machine learning algorithms in attack detection. Using the UNSW-NB 15 dataset, the impact of different machine learning algorithms is assessed.   2021 IEEE.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125809707&amp;amp;doi=10.1109%2FICACC-202152719.2021.9708404&amp;amp;partnerID=40&amp;amp;md5=f38ffee2033a770cc0550b34b6c1f8d8" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85125809707&amp;amp;doi=10.1109%2fICACC-202152719.2021.9708404&amp;amp;partnerID=40&amp;amp;md5=f38ffee2033a770cc0550b34b6c1f8d8&lt;/a&gt;</text>
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                <text>Jose J., CHRIST University, Department of Computer Science, Bangalore, India; Jose D.V., CHRIST University, Department of Computer Science, Bangalore, India; Rao K.S., CHRIST University, Department of Computer Science, Bangalore, India; Janz J., CHRIST University, Department of Computer Science, Bangalore, India</text>
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                <text>The Mahatma Gandhi National Rural Employment Guarantee Act (MGNREGA) of India is one of the most extensive social safety nets programs in the developing world. The initiative attempts to enhance rural livelihoods in India by lowering rural poor vulnerability and misery. The programs nature and extent of execution vary from state to state. Using panel data sets from the Indian Human Development Survey (IHDS), which covering India for two waves, 200405 and 201112. We used a quasi-experimental approach, such as the difference-in-difference technique of effect evaluation, to quantify the programs influence on rural families credit and debt structures. The empirical analysis shows evidence of changing the behavior of taking loans from formal sources among non-poor households actively participating in the MGNREGA program. But the difference-in-difference results shows that among poor households participating in the MGNREGA scheme, the tendency to depend on formal sources to take loans is still insignificant. That means informal lending sources are still more prevalent among poor people. This tendency has not changed even after the initiation of this program. The article finishes with policy recommendations for successfully targeting the program, notably the social safety net benefits to disadvantaged households in India.  2023, The Author(s), under exclusive licence to Springer Nature Switzerland AG.</text>
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                <text>This paper analyzes an emerging form of social media marketing, meme marketing, which has gained attention for its ability to entertain and engage users. Marketers and companies are recognizing the value of using memes as a tool to connect with consumers. To understand the effects of meme marketing activities, this paper aims to examine the impact of meme marketing activities on consumer purchase intentions and concurrently assess the mediating role of consumer engagement. The study encompassed 452 Indian social media users with active social media accounts and familiarity with memes and meme marketing concepts. It employed a quantitative methodology backed by robust statistical techniques. The method used for analysis was Structural Equation Modeling (SEM) through Analysis of Moment Structures (AMOS) software. The results found that meme marketing activities have a direct and significant positive impact (? = 0.257, p &amp;lt; 0.05) on consumer purchase intentions. It further shows that meme marketing has a direct and significant positive impact (? = 0.745, p &amp;lt; 0.05) on consumer engagement. It shows that consumer engagement has a direct and significant positive effect (? = 0.651, p &amp;lt; 0.05) on consumer purchase intention. However, the indirect impact of meme marketing activities on consumer purchase intentions is also significant, resulting in partial mediation. The study findings hold value for marketing managers, agencies, and companies that interact and engage consumers with memes and undertake meme marketing activities.  Navrang Rathi, Pooja Jain, 2023.</text>
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                <text>Rathi N., Department of Commerce, Christ (Deemed to be University, India; Jain P., Department of Commerce, Christ (Deemed to be University, India</text>
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                <text>Impact of microfinance in socio economic development evidence from south India </text>
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                <text>The role and impact of microfinance in the socio economic development of the low income people who are not credit worthy has been assessing and exploring by researchers for its sustainable operation and the development of formal financial system. The study explores the socio economic development of microfinance in South India. The objectives are based on variables like financial inclusion, employment and earning opportunities, social inclusion, economic development. social development, personal development. family relationship, economic newlineresilience, social capital, and well-being. The scope of the study is limited to the newlinebeneficiaries of microfinance in four states, namely Andhra Pradesh (undivided),Karnataka, Tamil Nadu and Kerala. The sampling method used in the study is non probability sampling technique of purposive sampling. Both primary and secondary data are used and it is found that microfinance has contributed to financial inclusion, social inclusion and employment and earning opportunities. Besides it has supported substantially social developinent and moderately economic development of the beneficiaries. Further it is noted that it has positive effect on personal development, and family development. Thus it has contributed to develop economic resilience and social capital among low income people which ultimately sustain their well-being, The major findings of the study are: is found that social inclusion, employment and earning opportunity and newlinefinancial inclusion have a significant influence on social development. It is explored that the financial inclusion and employment and earning opportunity can predict the economic development. It is concluded that the financial inclusion and employment and earning opportunity have a significant influence on the family relationship. It is found that the financial inclusion, employment and earning opportunity newlinecan predict the Personal development. It is observed that the personal development newlineand social development can predict the social capital.</text>
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