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Carbon quantum dots possess excellent physiochemical properties, high photostability. In this work, fabrication of boron functionalised nitrogen doped carbon quantum dot was achieved to detect harmful pollutant as picric acid. Firstly, nitrogen doped CQD was synthesized by rapid microwave approach from L-serine and citric acid which acts as precursor. Then functionalisation with boric acid under reflux condition to obtain B/N-CQD.</text>
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                <text>The spread of coronavirus disease, 2019, has affected several countries in the world including Asian countries. The occurrences of COVID infections are uneven across countries and the same is determined by socioeconomic situations prevailing in the countries besides the preparedness and management. The paper is an attempt to empirically examine the socioeconomic determinants of the occurrence of COVID in Asian countries considering the data as of June 18, 2020, for 42 Asian countries. A multiple regression analysis in a cross-sectional framework is specified and ordinary least square (OLS) technique with heteroscedasticity corrected robust standard error is employed to obtain regression coefficients. Explanatory variables that are highly collinear have been dropped from the analysis. The findings of the study show a positive significant association of per capita gross national income and net migration with the incidence of total COVID-19 cases and daily new cases. The size of net migration emerged to be a potential factor and positive in determining the total and new cases of COVID. Social capital as measured by voters' turnout ratio (VTR) in order to indicate the people's participation is found to be significant and negative for daily new cases per million population. People's participation has played a very important role in checking the incidence of COVID cases and its spread. In alternate models, countries having high incidence of poverty are also having higher cases of COVID. Though the countries having higher percentage of aged populations are more prone to be affected by the spread of virus, but the sign of the coefficient of this variable for Asian country is not in the expected line. Previous year health expenditure and diabetic prevalence rate are not significant in the analysis. Therefore, people-centric plan and making people more participatory and responsive in adhering to the social distancing norms in public and workplace and adopting preventive measures need to be focused on COVID management strategies. The countries having larger net migration and poverty ratio need to evolve comprehensive and inclusive strategies for testing, tracing, and massive awareness for sanitary practices, social distancing, and following government regulation for management of COVID-19, besides appropriate food security measures and free provision of sanitary kits for vulnerable section.  2020 John Wiley &amp;amp; Sons Ltd</text>
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                <text>Varkey R.S., Department of Economics, CHRIST (Deemed to be University), Bengaluru, India; Joy J., Department of Economics, CHRIST (Deemed to be University), Bengaluru, India; Sarmah G., Department of Economics, Central University of Tamil Nadu, Thiruvarur, India; Panda P.K., Department of Economics, Central University of Tamil Nadu, Thiruvarur, India</text>
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                <text>The International journal Of Indian Psychology, Vol.3, Issue 1, pp.111-119, ISSN No: 2349-3429.</text>
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                <text>Varma M, Dr Satheesh.</text>
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                <text>Optimized handwritten character recognition using artificial neural network</text>
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                <text>Artificial Neural Network; Binarization; Character recognition; Image processing; Kurtosis; Pattern recognition; Segmentation; Skeletonization; Skewness</text>
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                <text>Handwritten character recognition (HCR) plays important role in the modern world and is one of the focused area of research in the field of image processing and pattern recognition. Handwritten character recognition refers to the process of conversion of hand-written character into printed/word file character which can immensely improve the interface between man and machine in numerous application. It is difficult to process with great variations in writing styles, different size and orientation angle of the character that are existing. Also segmentation of cursive handwritten text is difficult as the edges cant be detected easily. There are numerous approaches to recognize handwritten data. The images are acquired using a digital camera or scanner and stored in standard format like JPG, PNG etc. The second stages include pre-processing techniques like Binarization, Skeletonization, thinning, resizing the image and segmentation. In our work we mainly concentrated on extracting statistical features of alphabets like mean, variance, standard deviation, Skewness and kurtosis, which differentiates a character from another. We used feed forward algorithm to train Artificial Neural Network (ANN). The features of input character after pre-processing are fed into ANN. A database of 650 samples is created to test input samples for recognition of character by neural net-work. The Experimental results that we have achieved show 88.46 % accuracy rate with minimum time taken for training.  IJSTR 2020.</text>
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                <text>Varma M.P.; Hore S.J.; Uday C.; Omnath Reddy S.; Pillai V.J.</text>
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                <text>International Journal of Scientific and Technology Research, Vol-9, No. 1, pp. 4442-4445.</text>
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                <text>International Journal of Scientific and Technology Research</text>
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                <text>ISSN: 22778616</text>
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                <text>This article attempts to look into the concept of othering in the context of urban development. The major motivation for the initiation of this article came after reading Dipankar Guptas book review titled A New Sociology Awaits Us (EPW, 26 December 2020), which mainly concentrated on urban affairs.  2022 Economic and Political Weekly. All rights reserved.</text>
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                <text>While Covid-19 pandemic has affected countries across the world, the burden has been shared disproportionately by urban poor from the cities in Global South. In much of Global South, while cities have emerged as growth centers, they are mostly driven by informalities, belying the image of cities, visualized in the mainstream development economics literature as a place of secured formal jobs that free one from the drudgery of rural life. Covid-19 pandemic has exposed these fault-lines in the cities. India serves as a typical case of such urban-centric growth, with informal workers, predominated by disadvantaged social and religious categories, accounting for 81% of workers in urban space. In cities, migrant in general and seasonal migrants increasingly account for bulk of informal workforce. The lockdown imposed in the wake of Covid-19 pandemic left the community of households reliant on informal works for livelihoods, without any rights and entitlements, which affect their access to food. The review of evidence collected in both primary surveys and macro level data points towards sluggishness in recovery of jobs, which coupled with high food inflation, suggests that access to food continues to be an issue in urban governance. The paper calls for a roadmap entailing both short-term and long-term measures to build sustainable urban livelihoods for ensuring food secure urban space in India.  2023 The Author(s)</text>
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                <text>Varma S., Department of Economics, Christ (Deemed to be University), Karnataka, Bangalore, India, Kerala Council for Historical Research (KCHR), Kerala, Thiruvananthapuram, India; Sutradhar R., Department of Economics, Christ (Deemed to be University), Karnataka, Bangalore, India</text>
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                <text>Modification of carbon dots (CDs) is essential to enhance their photophysical newlineproperties and applicability. Physical (e.g., composite material blending, coreshell architecture) and chemical (e.g., doping, surface passivation) methods exist to modify CDs. Different precursors can impart varied functionalities and heteroatomic dopants on CDs. Despite several modification strategies, the reproducibility and scalability of CDs still need to be improved. Newer approaches for modifying CDs are thus essential to ensure lab-to-lab and batchto-batch consistency. Our study focused on developing novel strategies for the physicochemical modifications of CDs. The theoretical simulation we performed for surface-functionalised CDs with the aid of density functional theory and time-dependent density functional theory helped to predict the mechanism of photoluminescence (PL) and to analyse the effect of hydrogen bonding on the newlineproperties of CDs (Chapter 3). We have developed a novel and general method for preparing amine functionalized CDs from modified paper precursors (Chapter 4). This strategy allows us to prepare CDs with customized functionalities, alleviating the post-synthesis modification. A novel ionimprinting strategy involving CDs synthesised from modified paper precursors newlinewas also developed through our research (Chapter 5). In another work, we utilized silk fibers as a matrix for immobilising CDs (Chapter 6). CDs prepared from mulberry leaves were fed to silkworms to produce CD-embedded silk fibres, which could be used to detect dopamine. In addition, we prepared CDs newlinefrom an unreported natural source (frankincense), which were used to detect lead ions (Chapter 7). We demonstrated the heavy metal sensing application of these newlineCDs in combination with a UV-light LED chip and a smartphone, which is relevant in resource-limited areas. The research results presented in the thesis are expected to inspire further investigations and applications related to CDs.</text>
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                <text>The traits of Generation Z are notable for how they define and reshape themselves in the 21st century. The current study investigates the factors that Generation Z users consider when deciding on a food application. The respondents in the current study were divided into working and nonworking groups, and the results imply that since college students are still supported financially by their parents or guardians, their main concerns are higher discounts, prices, and quantities. An in-depth and semistructured questionnaire was addressed to both groups of 15 respondents belonging to Generation Z. The stakeholders who would benefit from this research would primarily be online delivery restaurants, food application developers, academic researchers, and Generation Z cohorts.  2024, IGI Global. All rights reserved.</text>
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                <text>Varughese N.M., Christ University, Bengaluru; Thomas M.R., Christ University, Bengaluru</text>
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                <text>accretion, accretion discs; stars: neutron; X-rays: binaries; X-rays: bursts; X-rays: individual: 4U 1702?429</text>
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                <text>Varun M., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Thomas N.T., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Gudennavar S.B., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Bubbly S.G., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India</text>
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                <text>Wireless sensor networks are communication networks that deal with sensor devices that are wirelessly interconnected in order to collect and forward data between different environments. Network scaling of small sensor devices with all its limitations has a foolproof scope for future applications. The advantage of minimal infrastructural cost and applicability within challenging environments make it an attractive choice. Statistics have been shown to prove the demand for research for synchronization and localization as a research problem. WSNs are capable of dynamically building virtual infrastructure and getting synchronized with the rhythm of communication setup. Limitations in the amount of energy that can be utilized make it a necessity for the networks to be more optimal in terms of energy consumption. These challenges necessitate the need to study and analyze the recent advancements implemented in approaching synchronization and localization problems. This paper reviews recent research proposals and methodologies to identify related attributes and their relation to the system. A detailed comparative study is conducted to identify relevant patterns that influence the performance of the networks in terms of energy consumption.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Varun Somanna M.N.; Sandeep J.; Thomas L.</text>
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                <text>Lecture Notes in Electrical Engineering, Vol-840, pp. 585-602.</text>
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                <text>ISSN: 18761100; ISBN: 978-981169011-2</text>
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                <text>Varun Somanna M.N., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Sandeep J., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Thomas L., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India</text>
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