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                <text>Dimensions of USR; India; Moderation; Structural equation model; Student satisfaction; University social responsibility; USR model</text>
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                <text>Universities play the dual role of providing new knowledge and inculcating a sense of social responsibility in student citizens to contribute to community development. Higher Education Institutions (HEIs) are often expected to be socially responsible. The principal focus of this chapter is to determine the dimensions of University Social Responsibility (USR) and examine its impact on student satisfaction. A case study research was conducted with 299 students from a private university in India. Exploratory and Confirmatory Factor Analysis were used to identify the dimensions of USR. A structural equation model was used to analyze the impact of USR on student satisfaction, with gender and volunteerism in USR activities as moderators. The results show that student satisfaction is influenced by their perception of USR activities undertaken by the university. Findings indicate that the degree of influence of USR on satisfaction is more among female than male students. Contrastingly, the degree of influence of USR on satisfaction remained the same for volunteers and non-volunteers, indicating that the university is transparent in its USR activities. The findings highlight the importance of USR actions and how these activities lead to increased student satisfaction. The study also discusses the model adopted by the university to achieve higher standards of USR that other HEIs can adapt.  2024 Nova Science Publishers, Inc.</text>
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                <text>Valarmathi B.; Lakshmi B.; Elangovan N.</text>
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                <text>Models for Social Responsibility Action by Higher Education Institutions, pp. 99-116.</text>
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                <text>Valarmathi B., Department of Commerce, Christ University, Bengaluru, India; Lakshmi B., Department of Commerce, Christ University, Bengaluru, India; Elangovan N., School of Business and Management, Christ University, Bengaluru, India</text>
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                <text>In recent years, it is mandatory for profitable organizations in India to work toward Corporate Social Responsibility (CSR). Many thinkers in the industry have appreciated the move of the Indian Government by mandating profitable businesses to take responsibility for society by sharing certain portions of the profit made by these organizations. This study focuses on various initiatives taken by BOSCH India Foundation (BIF) for socio-economic development and value creation through its CSR activities. The primary data are collected by conducting interviews with the seniorlevel managers working in the CSR department of the Bidadi plant. The data are also collected by visiting the field of action, discussing with various stakeholders and observing their initiatives. The secondary data are collected from published sources and official records of the company. This case study shows that BOSCH India Foundation is focusing on the development of the villages in Bidadi. Their CSR initiatives focus on education, agriculture and livestock development, health and hygiene, environment, women empowerment, youth development and access to potable water. This study analyzes the economic and social impacts it has created in the society. The case provides new insight for researchers and students about the CSR approaches and best practices which can be a model for companies working on CSR projects.  2024 by World Scientific Publishing Co. Pte. Ltd.</text>
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                <text>Emerging Issues and Trends in Indian Business and Management: Volume 2: Business and Society: Issues and Cases in the Indian Context, Vol-2, pp. 301-327.</text>
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                <text>Thomas P., CHRIST (Deemed to be University), Bangalore, India; Thomas P.K., CMS Business School, JAIN (Deemed to be University), Bangalore, India; Agarwal N., Design Caf Bangalore, India</text>
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                <text>Socio-economic development of Darjeeling Himalayas: Categorical principal component analysis (CATPCA) and ordinal logistic regression (OLR)</text>
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                <text>The measurement of regional development plays a crucial role in improving the quality of life of local communities. However, the process of analyzing the regional progress was challenging as regional development was presented as a multidimensional concept. Nonetheless, the study's primary objective was to understand the indicators that genuinely reflect the development process's various dimensions in the northernmost district of West Bengal, Darjeeling Himalayas. Seven dimensions of development, namely psychological well-being, health, education, governance, safety and crime, energy and environment and standard of living were identified for analyzing the socio-economic development of the Darjeeling Himalaya. A questionnaire was framed and circulated in the region for the collection of data. By applying Categorical Principal Component Analysis (CATPCA), the data collected was aggregated into the above mentioned seven dimensions of development and analyzed the relationship between these development indicators through the Ordinal Logistic Regression model (OLR). The results showed that education and governance indicators had a significant impact on psychological wellbeing. Governance was affected by psychological wellbeing, while the standard of living was affected by psychological wellbeing and health indicators in the region.  2021 The Society of Economics and Development, except certain content provided by third parties.</text>
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                <text>Dukpa U.; Basel S.</text>
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                <text>Indian Journal of Economics and Development, Vol-17, No. 1, pp. 128-135.</text>
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                <text>&lt;a href="https://doi.org/10.35716/IJED/20198" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.35716/IJED/20198&lt;/a&gt;
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                <text>Maganti M., Psychology-Division of Sciences, School of Interwoven Arts and Sciences (SIAS), Krea University, Andhra Pradesh, Sricity, India; Baxi A., Department of Psychology, Ashoka University, Haryana, Sonipat, India; Lidhoo A., The Centre for Social and Behaviour Change, Ashoka University, Sonipat, India; Battiwalla T.P., Department of Obstetrics and Gynaecology and Psychiatry, Columbia University Irving Medical Center, New York, NY, United States; Kolte A., Department of Psychology, Christ University, Bangalore, India; Rijuta V., School of Education, University of Nottingham, Nottingham, United Kingdom; Chatterjee R.M., School of Human Ecology, Tata Institute of Social Sciences, Mumbai, India</text>
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                <text>This paper is a comparative reading of variations in the medicalisation of infertility caused by sociocultural aspects, in two illness narratives by patients: Elizabeth Katkins Conceivability (2018), a story of navigating a fertility industry with polycystic ovarian syndrome and antiphospholipid syndrome in America and Rohini Rajagopals Whats a Lemon Squeezer Doing in My Vagina (2021), a discussion from India of a growing awareness of medicalisation in treatment of unexplained infertility. For this purpose, it first charts scholarship on illness narratives and medicalisation, noting a historical association. Following this, it shows how infertility, a physiological symptom of reproductive incapacity or failure to show clinical pregnancy, is generally medicalised. This paper reads the texts as showing hitherto unaddressed sociocultural aspects of infertilitys medicalisation. At the same time, drawing from existing sociological and anthropological scholarship, it shows how a reading of sociocultural aspects in medicalised infertility nuances understanding of its medicalisation. This comparative reading attends to sociocultural values and norms within the texts, including pronatalism, fetal personhood, kinship organisation, purity/pollution, individual reliance, sacred duty and so forth. It draws from scholarship on embodiment, rhetorical strategies and the language of medicine. It also shows how a patients non-medicalised, affective history ofdeep sickness caused by the biographical disruption of infertility is not that of apoor historian. In laying out the particularisation of such sociocultural values and norms across America and India, medicalisations migration from its origins to the margins reveals subjectivised, stratified reproduction in infertility illness narratives. This paper is part of a turn in scholarship away from understanding the medicalisation of infertility as naturalised and decontextualised.  Author(s) (or their employer(s)) 2024.</text>
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                <text>James A., Department of Psychology, Christ University, Karnataka, Bengaluru, India; Warrier M.G., Department of Psychology, Christ University, Karnataka, Bengaluru, India; Benny A.T., Department of English and Cultural Studies, Christ University, Karnataka, Bengaluru, India</text>
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                <text>James A., Department of Psychology, Christ University, Karnataka, Bengaluru, India; Warrier M.G., Department of Psychology, Christ University, Karnataka, Bengaluru, India; Benny A.T., Department of English and Cultural Studies, Christ University, Karnataka, Bengaluru, India</text>
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                <text>This paper is a comparative reading of variations in the medicalisation of infertility caused by sociocultural aspects, in two illness narratives by patients: Elizabeth Katkin's Conceivability (2018), a story of navigating a fertility industry with polycystic ovarian syndrome and antiphospholipid syndrome in America and Rohini Rajagopal's What's a Lemon Squeezer Doing in My Vagina (2021), a discussion from India of a growing awareness of medicalisation in treatment of unexplained infertility. For this purpose, it first charts scholarship on illness narratives and medicalisation, noting a historical association. Following this, it shows how infertility, a physiological symptom of reproductive incapacity or failure to show clinical pregnancy, is generally medicalised. This paper reads the texts as showing hitherto unaddressed sociocultural aspects of infertility's medicalisation. At the same time, drawing from existing sociological and anthropological scholarship, it shows how a reading of sociocultural aspects in medicalised infertility nuances understanding of it's medicalisation. This comparative reading attends to sociocultural values and norms within the texts, including pronatalism, fetal personhood, kinship organisation, purity/pollution, individual reliance, sacred duty and so forth. It draws from scholarship on embodiment, rhetorical strategies and the language of medicine. It also shows how a patient's non-medicalised, affective history of 'deep' sickness caused by the biographical disruption of infertility is not that of a 'poor historian'. In laying out the particularisation of such sociocultural values and norms across America and India, medicalisation's migration from its origins to the margins reveals subjectivised, stratified reproduction in infertility illness narratives. This paper is part of a turn in scholarship away from understanding the medicalisation of infertility as naturalised and decontextualised.   Author(s) (or their employer(s)) 2025. No commercial re-use. See rights and permissions. Published by BMJ Group.</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.; Joy J.; Sarmah G.; Panda P.K.</text>
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                <text>Journal of Public Affairs, Vol-21, No. 4</text>
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                <text>&lt;a href="https://doi.org/10.1002/pa.2532" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/pa.2532&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093501033&amp;amp;doi=10.1002%2Fpa.2532&amp;amp;partnerID=40&amp;amp;md5=66743020d943b7a794e6f15539a8f411" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85093501033&amp;amp;doi=10.1002%2fpa.2532&amp;amp;partnerID=40&amp;amp;md5=66743020d943b7a794e6f15539a8f411&lt;/a&gt;</text>
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              <elementText elementTextId="115067">
                <text>All Open Access; Green Open Access</text>
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                <text>ISSN: 14723891</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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              <elementText elementTextId="202003">
                <text>Thangavelu, Indumathi; Ganeshkumar, P.; Saudagar, Abdul Khader Jilani</text>
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                <text>Sodium Alginate Coated Cerium(III) Fluoride Nanoparticles for Biocompatible Antimicrobial Applications: Structural and Functional Insights</text>
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              <elementText elementTextId="202006">
                <text>Journal of Inorganic and Organometallic Polymers and Materials;</text>
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                <text>&lt;a href="https://doi.org/10.1007/s10904-026-04253-5" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s10904-026-04253-5&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105035666559?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105035666559?origin=resultslist&lt;/a&gt;</text>
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                <text>Thangavelu I., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Ganeshkumar P., Department of Computer Science, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Saudagar A.K.J., Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia</text>
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                <text>Cerium(III) fluoride (CeF?) nanoparticles and sodium alignatefunctionalized CeF? nanocomposites (CeF?SA) were synthesized via a wet-chemical method. XRD confirmed phase-pure hexagonal CeF? with an average crystallite size of ~ 24nm. TEM showed uniformly distributed nanoparticles (812nm), and lattice fringe analysis revealed an interplanar spacing of ~ 0.315nm corresponding to the (111) plane, indicating preserved crystallinity after SA functionalization. UVvisible spectroscopy revealed a reduction in the optical band gap from 6.05eV (CeF?) to 4.96eV (CeF?SA), indicating modification of electronic properties. PL emission (351522nm) showed quenching, suggesting suppressed charge carrier recombination and increased defect density. CeF?SA exhibited antimicrobial activity against Gram-positive (S. aureus, S. pneumoniae), Gram-negative (K. pneumoniae, E. coli), and the fungal pathogen C. albicans, with reduced MIC (650g/mL) and MBC (1050g/mL) against K. pneumoniae. SEM revealed pronounced bacterial membrane damage. In vitro MTT assays on L929 fibroblasts demonstrated &amp;gt; 80% cell viability at concentrations up to 60g/mL, indicating the nanoparticles are well-tolerated at sub-antimicrobial doses. Overall, CeF?SA represents a promising antimicrobial nanoplatform, with further studies needed to assess cytocompatibility at MIC-level concentrations.  The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2026.</text>
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                <text>ISSN: 15741443;</text>
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            <elementTextContainer>
              <elementText elementTextId="202015">
                <text>Restricted Access; Hardcopy may be available in the library</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="207222">
                <text>Pattnaik, Snigdha; Shashikala, A.R.; Sharma, Kamini; Khambhati, Vishakha Prafulchandra; Thangavelu, Indumathi; Arulselvan, Palanisamy; Tadepalli, Srinivas; Ben Hamida, Mohamed Bechir</text>
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            <description>A name given to the resource</description>
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                <text>Sodium alginate functionalized nickel ferrite nanocomposites: synthesis, physicochemical characterization, and evaluation of antibacterial, anticancer, and biocompatibility properties</text>
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                <text>International Journal of Biological Macromolecules;Volume;359;Issue;;Article No.;151717;</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.ijbiomac.2026.151717" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.ijbiomac.2026.151717&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105035006304?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105035006304?origin=resultslist&lt;/a&gt;</text>
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                <text>Pattnaik S., Department of Pharmaceutical Sciences, School of Pharmaceutical Sciences, Siksha 'O' Anusandhan (Deemed to be University), Odisha, Bhubaneswar, 751030, India; Shashikala A.R., Department of Chemistry, Presidency University, Karnataka, Bengaluru, 560064, India; Sharma K., Department of FBAS (Chemistry), Vivekananda Global University, Jaipur, 303012, India; Khambhati V.P., Department of Biomedical Engineering, Faculty of Engineering and Technology, Parul Institute of Technology, Parul University, Gujarat, Vadodara, 391760, India; Thangavelu I., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India; Arulselvan P., Department of Biochemistry, Karpagam Academy of Higher Education (Deemed to Be University), Tamilnadu, Coimbatore, 641 021, India; Tadepalli S., Department of Chemical Engineering, College of Engineering, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Ben Hamida M.B., Deanship of Scientific Research, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia</text>
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                <text>The rise of multidrug-resistant bacteria and the need for effective therapies against breast cancer highlight the demand for multifunctional nanomaterials with high biocompatibility. In this study, Nickel ferrite (NiFe?O?) and sodium alginate functionalized NiFe?O? nanocomposites (NiFe?O?-SA) were synthesized via a green co-precipitation method. X-ray diffraction confirmed a cubic spinel structure, and transmission electron microscopy revealed quasi-spherical nanoparticles with sizes of 1525nm and uniform alginate coating. UVVis analysis showed a reduction in band gap from 4.44eV to 3.13eV, while photoluminescence spectra indicated enhanced charge carrier separation. NiFe?O?-SA exhibited strong antibacterial activity against Gram-negative pathogens (Klebsiella pneumoniae, Escherichia coli, Shigella dysenteriae, Pseudomonas aeruginosa, and Proteus vulgaris), with membrane disruption confirmed by microscopy. Cytotoxicity studies on MCF-7 breast cancer cells demonstrated dose-dependent inhibition with an IC?? of 11.9?g/mL, and zebrafish embryo assays confirmed excellent biocompatibility for NiFe?O?-SA. These findings highlight NiFe?O?-SA nanocomposites as promising multifunctional nanomaterials for therapeutic and biomedical applications.  2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="207229">
                <text>Antibacterial; Biocompatibility; Breast cancer; Nickel ferrite; Sodium alginate coated nickel ferrite; Zebra fish studies</text>
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            </elementTextContainer>
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                <text>In the present work, we have explored the efficacy of bismuth (III) oxide (Bi2O3) loaded, calcium ion cross-linked solution cast sodium alginate composite films for radioprotective applications. Calcium ion cross-linking increased the water and chemical resistance, which further improved on introduction of Bi2O3 into the composites. The 40 wt% Bi2O3 loaded films showed good heat resistance with the peak degradation temperature reaching as high as 251C. The Bi2O3 loaded composites showed enhanced tensile strength (TS) and Youngs modulus (YM). Compared to high-modulus polymers like epoxy, high-density polyethylene (HDPE) and poly (vinyl chloride) (PVC), these exhibit relatively greater extent of stretching before breaking. The ?-ray attenuation experiments showed that mass attenuation coefficients of the composites at various ?-ray energies increased with filler loading. These composites are effective in shielding ?-rays from radioactive sources like 137Cs, 22Na, 133Ba, and 60Co that are widely employed in several medical and industrial applications. The overall enhancement in thermal, mechanical, and radiation shielding characteristics of the composites may be attributed to the uniform distribution of the fillers in alginate matrix. These nontoxic sodium alginate/Bi2O3 composites can be used as soft and biodegradable radiation shields, which may be processed to wearable forms.  2020 Wiley Periodicals LLC.</text>
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                <text>Journal of Applied Polymer Science, Vol-138, No. 19</text>
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                <text>Prabhu S., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore Central Campus, Bengaluru, India; Bubbly S.G., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore Central Campus, Bengaluru, India; Gudennavar S.B., Department of Physics and Electronics, CHRIST (Deemed to be University), Bangalore Central Campus, Bengaluru, India</text>
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                <text>Pachiyannan P., Information Systems Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, 11432, Saudi Arabia; Thangavelu I., Department of Chemistry, CHRIST (Deemed to be University), Bangalore, 560029, India</text>
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                <text>The optimization of surface chemistry in nanomaterials is vital for enhancing their applicability in advanced healthcare sectors. This study focuses on synthesizing polymer-functionalized NPs (NPs) to improve structural stability and biological efficacy against a broad spectrum of pathogens. Herein, calcium fluoride (CaF?) and sodium alginate-functionalized CaF? (CaF?SA) NPs were synthesized to determine the impact of SA on physicochemical and optical properties. The synthesized NPs were extensively characterized using XRD, UV-Vis, DLS, FTIR, PL, electron microscopy (SEM/TEM), and XPS. Their enhanced performance is attributed to defect passivation, reduced crystallite size, and the formation of a homogeneous organic-inorganic interface through strong chemical interactions between Ca? sites and alginate functional groups. The CaF?SA NPs exhibited superior broad-spectrum antimicrobial activity compared to bare CaF? against S. aureus, S. pneumoniae (Gram-positive), K. pneumoniae, E. coli (Gram-negative) and C. albicans (fungal strains). The quantitative assessments via MIC, MBC, and CFU assays confirmed effective inhibition of CaF2-SA. These findings highlight defect modulation and polymer passivation as powerful strategies, suggesting CaF?SA NPs as promising candidates for advanced bio-interactive and healthcare applications.  The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2026.</text>
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                <text>The education system has increased the number of dropouts in the coming years, decreasing the number of educated people. Education system refers to a group of institutions like ministries of education, local education bodies, teacher training institutes, universities, colleges, schools, and more whose primary purpose is to provide education to all the people, especially young people and children in educational settings. The research aims to improve the student dropout rate in the education system by focusing on students performance and feedback. The students dropout rate can be calculated based on complexity, credits, attendance, and different parameters. This study involves the extensive study that inculcates student dropout with their performance and other parameters with soft computing approaches. There are various soft computing approaches used in the education system. The approaches and techniques used are sequential pattern mining, sentimental analysis, text mining, outlier decision, correlation mining, density estimation, etc. The approaches and techniques will be beneficial to calculating and decreasing the rate of dropout of students in the education system. The research will make a unique contribution to improved education by calculating the dropout rate of students. In particular, we argue that the dropout rate is increasing, so soft computing techniques can be the solution to improvise/reduce the dropout rate.  2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-547, pp. 325-335.</text>
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                <text>Sybol S.S., CHRIST (Deemed to be University), NCR, Delhi, India; Srivastava S., CHRIST (Deemed to be University), NCR, Delhi, India; Sharma H., Sheffield Hallam University, Sheffield, United Kingdom</text>
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                <text>Artificial Bee Colony Optimization; Cascaded DC/DC Converter; Flying Squirrel Search Optimization; Maximum Power Point Tracking Technique; Photovoltaic System</text>
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                <text>Solar power changes according to irradiance and temperature in a day. A Maximum Power Point Tracking (MPPT) algorithm is actually necessary to obtain the maximum power from the photovoltaic (PV) arrangement. In this paper, in order to optimize power and improve the efficiency of PV module with regulated output voltage, soft computing MPPT techniques, flying squirrel search optimization and artificial bee colony methods are implemented on cascaded double voltage lift boost converter. The PV module is subjected to both with and without constraints to analyze the performance of the DC/DC converter, and the comparative outcomes are evaluated for resistive and different types of battery loads at various temperature conditions in MATLAB/Simulink platform. The optimized power is achieved by using artificial bee colony technique with less ripple in the output waveforms at constant 25 C temperature irrespective of the changes in irradiation with the battery load and this can be used for charging of the battery system.  2023 Praise Worthy Prize S.r.l.-All rights reserved.</text>
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                <text>Radhika S.; Margaret V.</text>
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                <text>International Review of Electrical Engineering, Vol-18, No. 6, pp. 430-438.</text>
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                <text>&lt;a href="https://doi.org/10.15866/iree.v18i6.23759" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.15866/iree.v18i6.23759&lt;/a&gt;
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                <text>ISSN: 18276660</text>
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                <text>Radhika S., Department of Electrical and Electronics Engineering, Bangalore Institute of Technology, School of Engineering and Technology, Christ University, Bengaluru, India; Margaret V., Department of Electrical and Electronics Engineering, Bangalore Institute of Technology, School of Engineering and Technology, Christ University, Bengaluru, India</text>
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                <text>Soft computing techniques for hub sequence analysis /</text>
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                <text>S, Athmaja. - 0935005</text>
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                <text>Bioinformatics, the combination of Biology and Information Technology has become a pioneer industry booming worldwide. One of the grand challenges in biology is to understand organizing principles of bimolecular networks. There seems to be a deliberate effort towards uncovering new laws of biological complexity. One of the most pressing needs in this area is the understanding of protein-protein interaction networks and their complexity. Hub proteins- network elements with high connectivity- literally ??hold the networks together. Though several experimental methods have been developed to identify hub proteins, it is important to supplement procedures for pattern recognition to classify/predict hub protein sequences. This research work aims at the classification and prediction of hub proteins of two model organisms- Homo sapiens and Escherichia coli using different computational approaches of pattern recognition such as Principal Component Analysis (PCA), Artificial Neural Network (ANN) and Linear Discriminant Analysis using (i) Class Dependent Approach (LDACD), (ii) Class Independent Approach (LDACIND), and (iii) Normal Bayes Classification (LDANB).</text>
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                <text>Soft excess in AGN with relativistic X-ray reflection</text>
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                <text>galaxies:active; galaxies:Seyfert; X-rays:galaxies</text>
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                <text>The soft X-ray excess, emission below (Formula presented.) 2keV over the X-ray power-law, is a marked spectral component in the X-ray spectra of many Seyfert1 galaxies. We investigate if the observed soft X-ray excess in a sample of Seyfert1s is in accordance with the prediction of the relativistic reflection model by analyzing the XMM-Newton and NuSTAR spectra. The fractional difference in the soft excess (SE) obtained from the blurred reflection emission predicted (from NuSTAR) and the observed (from XMM-Newton) luminosities show that the reflection model underestimates the SE emission in our sample. The results point to alternative models (for example, warm Comptonization) to explain the soft X-ray excess in AGN.  2023 Wiley-VCH GmbH.</text>
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              <elementText elementTextId="97259">
                <text>Ezhikode S.H.; Shyam Prakash V. P.; Dewangan G.C.; Mathew B.</text>
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              <elementText elementTextId="97260">
                <text>Astronomische Nachrichten, Vol-344, No. 4</text>
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              <elementText elementTextId="97261">
                <text>John Wiley and Sons Inc</text>
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              <elementText elementTextId="97262">
                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1002/asna.20230042" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/asna.20230042&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150789080&amp;amp;doi=10.1002%2Fasna.20230042&amp;amp;partnerID=40&amp;amp;md5=0c9ebd52f9e5954a1a79292386f34110" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150789080&amp;amp;doi=10.1002%2fasna.20230042&amp;amp;partnerID=40&amp;amp;md5=0c9ebd52f9e5954a1a79292386f34110&lt;/a&gt;</text>
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              <elementText elementTextId="97264">
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                <text>ISSN: 46337</text>
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                <text>Ezhikode S.H., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Shyam Prakash V. P., Space Astronomy Group, ISRO Satellite Centre, ISITE Campus, Bengaluru, 560037, India; Dewangan G.C., Inter-University Centre for Astronomy and Astrophysics, Pune, 411007, India; Mathew B., Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, India</text>
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          <element elementId="50">
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                <text>Soft grafting of DNA over hexagonal copper sulfide for low-power memristor switching</text>
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              <elementText elementTextId="93671">
                <text>Green electronics, where functional organic/bio-materials that are biocompatible and easily disposable are implemented in electronic devices, have gained profound interest. DNA is the best biomolecule in existence that shows data storage capacity, in virtue of the sequential arrangement of AT and GC base pairs, analogous to the coding of binary numbers in computers. In the present work, a robust, uniform and repeatable room-temperature resistive switching in a Cu/Cu2S/DNA/Au heterojunction is demonstrated. The DNA nanostructures were anchored on the densely packed hexagonal Cu2S structures by simple electrochemical deposition. This heterostructure presents outstanding memristor behavior; the device exhibits resistive switching at a very low threshold voltage of 0.2 V and has a relatively high ON/OFF ratio of more than 102 with a good cycling stability of ?1000 cycles and a negligible amount of variation. The justification for such a switching mechanism is also given on the basis of the energy-band diagram of the Cu2S-DNA interface. Based on the studies herein, the resistive switching is attributed to the reversible doping of DNA by Cu+ ions, leading to intrinsic trap states. Further, the switching is modeled with the help of different transport mechanisms, like Schottky-barrier emission, Poole-Frenkel emission and Fowler-Nordheim tunneling.  2023 The Author(s).</text>
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              <elementText elementTextId="93672">
                <text>Naik S.G.; Rabinal M.K.; Datta S.</text>
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              <elementText elementTextId="93673">
                <text>Materials Advances, Vol-4, No. 23, pp. 6312-6320.</text>
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              <elementText elementTextId="93674">
                <text>Royal Society of Chemistry</text>
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              <elementText elementTextId="93675">
                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1039/d3ma00080j" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1039/d3ma00080j&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176731737&amp;amp;doi=10.1039%2Fd3ma00080j&amp;amp;partnerID=40&amp;amp;md5=e11a5635a5f1279c0b140c2dfef2282f" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85176731737&amp;amp;doi=10.1039%2fd3ma00080j&amp;amp;partnerID=40&amp;amp;md5=e11a5635a5f1279c0b140c2dfef2282f&lt;/a&gt;</text>
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              <elementText elementTextId="93677">
                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 26335409</text>
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                <text>Naik S.G., Department of Physics and Electronics, Christ University, Karnataka, Bengaluru, 560029, India; Rabinal M.K., Department of Physics, Karnatak University, Dharwad-03, India; Datta S., Department of Physics, Indian Institute of Science Education and Research, Pune, India</text>
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                <text>Haresh, Simon Mathew; Chalissery, Benita Jose; Newbegin, M.</text>
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                <text>Proceedings - 2025 International Conference on Transformative Computing Technologies, ICTCT 2025;pp.358-365</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICTCT69201.2025.00072" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICTCT69201.2025.00072&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105037444599?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105037444599?origin=resultslist&lt;/a&gt;</text>
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                <text>Haresh S.M., Christ (Deemed to be) University, Department of Computer Science, Bangalore, India; Chalissery B.J., Christ (Deemed to be) University, Department of Computer Science, Bangalore, India; Newbegin M., Christ (Deemed to be) University, Department of Computer Science, Bangalore, India</text>
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                <text>Global health reports constantly list heart disease as a major threat to human health. With the help of reliable information and early detection methods the disease's impact can be reduced. The study suggests an RCX(Random Forest, CatBoost, XGBoost) Ensemble machine learning method to figure out how likely a person is to get heart disease. Data for the system came through the UCI Repository containing records that were from Cleveland,Switzerland,Veterans Affairs(VA),Hungarian and statlog medical centers. As the raw datasets were not usable for performing operations, Data was put through preprocessing stages-which had involved removing missing values,making all labels uniform(standardizing them) and employing the SMOTE Technique for artificially creating new minority samples to balance the dataset. To explore an effective approach possible,models including Logistic Regression, Naive Bayes, Ran- dom Forest,CatBoost and gradient boosting(XGBoost) were trained and tested on the datasets. Using the Recursive Feature Elimination (RFE) method 8 out of 14 relevant features were selected. The models were improved through hyperparameter tuning and Among all models used the best results had come from a soft voting ensemble that combined Random Forest, CatBoost and XGBoost. The RCX ensemble model which was developed, has been shown to give accuracy and ROC AUC results of 91.18% and 96.21% respectively, showing stronger results compared to individual models. Metrics and Indicators like accuracy, precision, recall, F1-Score and the ROC AUC were used for comparing performance during testing periods. The data was visualized by using Python libraries such as matplotlib and seaborn for confusion matrices, heatmaps,and bar graphs for better understanding of the data at a glance.  2025 IEEE.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Software bug in identification and prediction through software are metrics in object oriented protects : </text>
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                <text>In the software engineering, quality assurance plays an important role. newlineThe quality assurance as an activity, observes the execution of software project to ensure that the behavior of product is in accordance with the expectations. The testing is associated with quality assurance activities. The testing takes a lot of time and an effort of the tester to test the test newlinecases. Even after enough manual or automatic testing, bugs remain uncovered because of lack of time. So, a need arises to focus on this area to save the time and cost of the organizations. The software developer or newlinetester should be aware about the main reasons of software bugs so that they can focus on the right part of the code at the right time. Need of introducing product, process and project metrics is also very essential for newlinethe identification of major causes of bugs. Predictions will always be best if the history of project is taken into consideration. We can come up with accurate predictors with the help of root causes of the software bugs. Several bug prediction models can use bug indicators as the input of model to predict the number of bugs. newlinePrediction attempts to provide quantitative measures to help the software testers and developers. With more number of bug indicators, a step can be taken towards wider horizon of bug prediction thus enabling higher devotion to improve quality of software products. Therefore, identification of several reasons of software bugs and implementation of effective bug prediction models are needed to widen the scope of bug newlineprediction approaches and to improve the software quality. After estimating the future bugs using prediction models, awareness of bug severity is also required to avoid the expected harms to software products. newlineIntroduction of Artificial Neural Network (ANN) was needed to improve the prediction potential. In this work an attempt has been made to associate different levels and types of inheritance through neural network newlineby establishing a correlation framework with diverse types of bug severitie.</text>
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                <text>Gupta, Varuna.</text>
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                <text>Ganesan, N</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/244505" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/244505&lt;/a&gt;</text>
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