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                <text>Impact of microfinance on 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 capital, and well-being.</text>
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                <text>IMPACT OF MNP ON CONSUMER SWITCHING BEHAVIOUR WITH SPECIAL REFERENCE TO DEMOGRAPHIC FACTORS</text>
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                <text> Iqbal Zafar</text>
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                <text> Indian telecom market is one of the fastest growing markets and is forecasted to reach 9.2 million users by mid of 2012. India has seen rapid increase in the number of players which has caused the tariff rates to hit an all time low and with the introduction of MNP, the mobile users has an option of changing the service provider without changing the number.

 The availability of Mobile Number Portability to subscriber has intensified the competition among service providers in order to retain the existing customer base and to gain from other operators, which has led to attractive schemes or offers or packages to the end users. This shows satisfaction has become a major influence on switching behavior and only those mobile operators who satisfy the needs of the users at affordable cost can prevail.

 The study examines the impact of MNP on customer demographics in determining the switching behavior. The data gathered was through a survey and the sample size was 203. The variables considered for the study were customer demographics, satisfaction, tariff, customer care.

 Independent students t test and chi-square were used to analyze the data to examine the impact of switch propensity for each demographic variable. Research findings suggest that different groups have different switching behavior. Age, gender, marital status and brand have significant dependency on those who switch and there is significant difference on age with regard to VAS, network quality; education and monthly income on low international tariff; marital status on network quality.

 The study also reveals that call rates play the most important role in switching the service provider followed by network coverage and value added service respectively. It is found that there is a relation between switching the demographic variables.

 More number of young mobile users prefers mobile number portability. Airtel and Idea Cellular emerged as most preferred mobile service operators in terms of MNP. Both continue to gain customers from other service providers. As per the study BSNL was the biggest loser in terms of MNP. It was also observed that post paid customer prefer MNP over prepaid.



Keywords ?? MNP, Prepaid, Postpaid, Switching Behavior, Demographics, VAS, Tariff.</text>
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                <text>Impact of monetary policy changes on the Indian stock market and monetary market</text>
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                <text>Since the stock market is perceived as the channel of transmissions of monetary policy, it is worthy to study the relationship between the Monetary Policy and the volatility of stock prices in the stock market. This study has been conducted with the aim to examine the impact of monetary policy changes on the stock market. The variance methodology is applied in order to achieve the objective of this study. The concept of event window in the methodology involved as the identification of volatility of price in the stock market for11 days (i.e. 5 days before and after event day). The result shows that there is a positive influence on stock market because of change in money policy by the government. The results identified in this work having a signification amount of managerial implication to the different segment of the policy makers in Government, and Stock Market.  2019 Islamic Azad University.</text>
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                <text>Jothi M.; Suresh G.; Jayakumar K.</text>
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                <text>International Journal of Management and Business Research, Vol-9, No. 4, pp. 135-144.</text>
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                <text>Jothi M., Department of Accounting and Finance, Ambo University, Woliso, Ethiopia; Suresh G., CHRIST (Deemed to be University), Bangalore, India; Jayakumar K., Department of Commerce, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Impact of Multi-domain Features for EEG Based Epileptic Seizures Classification</text>
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                <text>Adaptive Boosting; Data Standardization; EEG; Epileptic Seizure; Frequency domain; Gaussian Nae Bayes; Machine Learning; Multi-domain Features; Time domain</text>
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                <text>Accurate detection and classification of epileptic seizures play a pivotal role in clinical diagnosis and treatment. This study introduces an innovative approach that leverages multi-domain features extracted from Electroencephalogram (EEG) data in conjunction with Supervised learning classification techniques. Initially, EEG data undergoes preprocessing through data standardization, followed by the extraction of essential features per instance, encompassing combination of Time domain, Frequency domain, and Time-Frequency domain features. These extracted feature combinations are subsequently fed into the machine learning-based boosting classifier Adaptive Boosting (ADABOOST) for an accurate and precise classification of epileptic signals. Validation of the proposed method is conducted using EEG data from the BEED (Bangalore EEG Epilepsy Dataset) and BONN (University of BONN, Germany) database to detect epileptic seizures. The experimental results show remarkably high levels of classification accuracy for various conditions: 99% accuracy for BEED data, 98% accuracy for BONN data for classifying seizures from healthy states, and 91% accuracy for classifying seizure onset from seizure events. Furthermore, the study applies the Gaussian Nae Bayes (GNB) classifier to differentiate various types of epileptic seizures, employing evaluation metrics such as the confusion matrix, ROC curve, and diverse performance measures. This method demonstrates significant potential in supporting experienced neurophysiologists decision in the clinical classification of epileptic seizure types.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.</text>
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                <text>Najmusseher; Banu P.K.N.; Azar A.T.; Kamal N.A.</text>
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                <text>Lecture Notes on Data Engineering and Communications Technologies, Vol-220, pp. 317-329.</text>
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                <text>Najmusseher, Department of Computer Science, CHRIST (Deemed to Be University) Central Campus, Karnataka, Bangalore, 560029, India; Banu P.K.N., Department of Computer Science, CHRIST (Deemed to Be University) Central Campus, Karnataka, Bangalore, 560029, India; Azar A.T., College of Computer and Information Sciences, Prince Sultan University, Riyadh, 11586, Saudi Arabia, Faculty of Computers and Artificial Intelligence, Benha University, Benha, 13518, Egypt; Kamal N.A., Faculty of Engineering, Cairo University, Giza, Egypt</text>
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                <text>Nair J.B., Leibniz Institute of Photonic Technology, Albert-Einstein-Stra 9, Jena, 07745, Germany, Serah Zines LLP, Sreeragam, Naduvannor P.O., Kerala, Kozhikkode, 673614, India; Joseph A.M., Department of Chemistry, Newman College, Kerala, Thodupuzha, 685585, India; Sanoop P., Department of Chemistry, Madanapalle Institute of Technology &amp;amp; Science (MITS), Madanapalle, Andhra Pradesh, Chittoor, 517325, India; Joseph M.M., Department of Life Sciences, CHRIST University, Karnataka, Bengaluru, 560029, India</text>
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                <text>Impact of national income and public expenditure on employment and its public-private sector composition in indian economy</text>
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                <text>Employment; Gross national income; Growth; Private/Public sector; Public expenditure</text>
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                <text>The paper focuses on the analysis of the impact of Gross National Income and Public Expenditure on total employment and its public and private sector components. It also examines the ratios of public and private sector employment to total employment and public sector to private sector employment. Results of summary statistics of employment, public and private sector employment, public expenditure, and gross national income are briefly discussed. Growth of total employment, public and private sector employment, gross national income and public expenditure is examined to determine the direction and magnitudes of inter-temporal changes. Growth trend of all three ratios is determined to detect and to anticipate the interrelations of change. Stationarity of time series of total employment, employment in public and private sectors, gross national income and public expenditure of Indian economy is evaluated by Random Walk Model and Dickey-Fuller test. Results show that the time series data of total, public and private sector employment approximate normal distribution with extremely low skewedness and concentration. The coefficients of variation of all 6 time series data are relatively very low. But the time series of GNI is non-stationary at 0.05 probability level, while time series of public expenditure displays negative trend. Negative change in private sector employment is determined by lagged private sector employment and private income/expenditure. Results of Engel-Granger test of co-integration show the variables to be well co-integrated in the chosen distributed lag models.  2021 DAV College. All rights reserved.</text>
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                <text>Basantwani L.V.; Sharma S.; Dagar V.; Kharinta K.</text>
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                <text>International Journal of Agricultural and Statistical Sciences, Vol-17, No. 1, pp. 213-222.</text>
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                <text>ISSN: 9731903</text>
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                <text>Basantwani L.V., Galgotias University, Greater Noida, 201 310, India; Sharma S., CHRIST Deemed to Be University, Delhi NCR, 201 003, India; Dagar V., Amity School of Economics, Amity University, Noida, 201 313, India; Kharinta K., Government Degree College, Directorate of Higher Education, Haryana, Hisar, Nalwa, 125 037, India</text>
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                <text>Impact of New CSR Bill on Indian Standard &amp; Poor 50</text>
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          <element elementId="49">
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            <description>The topic of the resource</description>
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                <text>Research Revolution, Vol-1 (3), pp. 1-4.</text>
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                <text>Pai Rajesh Jayakar</text>
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                <text>Impact of NiO/CuO as additives on the pseudocapacitive performance of SiO2-GO composite: Insights from experimental investigation</text>
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                <text>Composite; CuO; NiO; Pseudocapacitors; SiO&lt;sub&gt;2&lt;/sub&gt;-GO; Supercapacitance</text>
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                <text>Recent interest in pseudocapacitive materials faces challenges like degradation and high costs, while low-cost carbon materials suffer from low capacitance. SiO2-GO composites, despite their potential, remain unexplored for pseudocapacitors. The present study addresses this gap by focusing on the synthesis and characterization of SiO2-GO composites, both in their pure form and doped with NiO and/or CuO. These materials are subsequently investigated for their suitability as electrode materials in supercapacitor applications. The obtained results have been comprehensively analyzed with respect to the bonding interactions and morphological characteristics of each material variant. This analysis aims to elucidate how the incorporation of NiO and/or CuO influences the structural integrity, surface chemistry, and electrochemical performance of the SiO2-GO composites. By investigating these aspects, we aim to contribute new insights that could lead to the development of efficient and cost-effective pseudocapacitive electrode materials.  2024 Elsevier Ltd</text>
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              <elementText elementTextId="73855">
                <text>Anand S.; Sunajadevi K.R.P.; Pinheiro D.</text>
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                <text>Journal of Energy Storage, Vol-103</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.est.2024.114529" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.est.2024.114529&lt;/a&gt;
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              <elementText elementTextId="73860">
                <text>Restricted Access</text>
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                <text>ISSN: 2352152X</text>
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                <text>Anand S., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India; Sunajadevi K.R.P., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India; Pinheiro D., Department of Chemistry, Christ University, Karnataka, Bangalore, 560029, India</text>
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                <text>Impact of ohmic heating on MHD mixed convection flow of Casson fluid by considering Cross diffusion effect</text>
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                <text>Gireesha B.J., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, Karnataka, 577451, India; Ganesh Kumar K., Department of Mathematics, SJM Institution of technology, Chitradurga, Karnataka, 577502, India; Krishnamurthy M.R., Department of Mathematics, Jawaharlal Nehru National College of Engineering, Shimoga, Karnataka, 577201, India; Manjunatha S., Department of Engineering Mathematics, Faculty of Engineering, Christ University, Mysore Road, Bengaluru, 560074, India; Rudraswamy N.G., Department of Studies and Research in Mathematics, Kuvempu University, Shankaraghatta, Shimoga, Karnataka, 577451, India</text>
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                <text>Although researchers in strategic human resource management have established a relationship between HRM practices and organizational performance, the intervening process connecting HRM system and organizational performance remains unexplored. This paper, based on a study on Indian software companies, is an attempt to develop and test a causal model linking HRM with organizational performance through an intervening process. The study has found that not even a single HRM practice has direct causal connection with organizational financial performance. At the same time, it has been found that each and every HRM practice under study has an indirect influence on the operational and financial performance of the organization. Further, HRM practices such as training, job design, compensation and incentives directly affect the operational performance parameters, viz., employee retention, employee productivity, product quality, speed of delivery and operating cost.</text>
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                <text>International Journal of Human Resource Management, Vol-14, No. 7, pp. 1246-1266.</text>
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                <text>Paul A.K., Department of Management Studies, Christ College, Bangalore 560 029, India; Anantharaman R.N., Industrial Management Division, Department of Humanities/Soc. Sci., Indian Institute of Technol. Madras, Chennai 600 036, India</text>
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                <text>Disease-specific online patient support groups have emerged predominantly in last 30years, and these are being visited by a large number of patents. These platforms obviously bring important benefits to the patients visiting them. An important variable is the perceived social support that patients feel they derive while interacting with healthcare providers and fellow patients over there. Patient empowerment is another variable, and which has been found to be a critical factor in overall well-being of patients. How does the perceived social support felt by patients visiting an online patient support group impact their perceived empowerment? This paper explores this question. Research design is associative, and for which the data has been procured online from the patients visiting online patient support groups. The questionnaire comprises of an independent variable (perceived social support) and a dependent variable (patient empowerment). Validated scales have been used. For analysis, a factor analysis was undertaken to reconfirm the validity of the scales. Thereafter, regression equation has been developed to measure the impact. Results show that the model obtained passes the fitness and the independent variable has a significant positive association with patient empowerment.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Pandey V., Sikkim Manipal Institute of Technology, SMU, Majitar, India; Saha S.K., Christ University, Bangalore, India; Mukherjee S., Sikkim Manipal Institute of Technology, SMU, Majitar, India; Nair S.V.R., Christ University, Bangalore, India; Jha A., Sikkim Manipal Institute of Technology, SMU, Majitar, India</text>
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                <text>IMPACT OF PHOTOGRAPHS AND ITS PLACEMENT IN NEWS ARTICLES ON READERS.</text>
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                <text>The research is carried out to study the impact of photographs and its placement on readers in newspapers. The photographs and headline are the heavyweights, more than any other element they attract attention. This study tries to focus on the role of photographs in newspaper articles on its readers. It evaluates on the terms of its placement as well. Photographs in newspapers are researched through semiotics analysis, content analysis and other qualitative techniques. This study is undertaken in both qualitative and quantitative techniques. The researcher has used the random sampling technique with a sample size of 108. The analysis is also made on the basis of in-depth interview with experienced and seasoned members of print organisations. Based on the analysis of the data collected the research has thrown light upon the findings that, before even scanning pages in detail, the first element seen by a reader is the photographs. Both the genders have equally shown that the photographs are the first component that attracts them to read an article. A well placed photograph plays an important role by breaking the monotony of text placement and leads to visual appeal  of  the  reader.  In  conclusion  the  photographs  have  high  visual  impact  on readers. Its placement and size play a vital role in not only leading the readers to read the article but also creates an aesthetically designed layout.</text>
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                <text>Impact of porous nanoparticles on the electro-optical and dielectric parameters of nematic liquid crystals for display applications: Cost effective approach</text>
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                <text>birefringence; carbon nanoparticle; Nematic liquid crystals; threshold voltage</text>
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                <text>In this study, several vital electro-optical and dielectric properties of nematic liquid crystal (NLC) dispersed with porous carbon nanoparticles (PCNP) with three different concentrations were measured. NLCs are birefringent materials. Increased birefringence was observed for NLC-PCNP composites. Dielectric study was also performed for NLC dispersed with PCNPs. Dielectric anisotropy was found to be increased for PCNP dispersed NLC system. Contrast ratio was also measured for NLC dispersed with PCNP, and it is found to be enhanced. Decreased threshold voltage was observed after dispersing PCNP into NLC. High birefringence reduces the cell gap so this work may be applicable in the making of flat panel displays (FPDs).  2024 Taylor &amp;amp; Francis Group, LLC.</text>
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                <text>Pathak G.; M V.; Hegde G.; Verma S.; Manohar R.</text>
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                <text>Journal of Dispersion Science and Technology</text>
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                <text>&lt;a href="https://doi.org/10.1080/01932691.2024.2312822" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/01932691.2024.2312822&lt;/a&gt;
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                <text>ISSN: 1932691</text>
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                <text>Pathak G., Liquid Crystal Research Lab, Department of Physics, University of Lucknow, Lucknow, India; M V., Centre for Advance Research and Development, CHRIST (Deemed to be University), Bengaluru, India; Hegde G., Centre for Advance Research and Development, CHRIST (Deemed to be University), Bengaluru, India; Verma S., CMS, Gomtinagar, Lucknow, India; Manohar R., Liquid Crystal Research Lab, Department of Physics, University of Lucknow, Lucknow, India</text>
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