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                <text>Feature extraction of clothing texture patterns for classification</text>
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                <text>classification; Feature descriptors; Radon transform variance; statistical analysis; Support Vector Machine; texture</text>
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                <text>Different features are extracted for Pattern Recognition using an efficient algorithms like Scale Invariant Feature Transform, Rotation invariant Radon Transform and extracting statistical features of a texture image. Support vector machine with RBF kernel in Weka is used in this paper for classification. This paper shows method to classify the clothing texture patterns like strips, plaid, pattern less and irregular pattern. This paper also proposes a method which can be efficient method to apply for the real time natural texture patterns and colors recognition systems. This paper gives the experiments results and the proposed method to enhance the experiments accuracy in future scope.  2015 IEEE.</text>
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                <text>Chaitra G.N.; Khare N.</text>
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                <text>Recent and Emerging Trends in Computer and Computational Sciences, RETCOMP 2015, pp. 6-9.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Chaitra G.N., Dept. of CSE, Christ University, Bangalore, India; Khare N., Dept. of CSE, Christ University, Bangalore, India</text>
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                <text>Optical Character Recognition is still prevailing even after many decades of implementation. The challenges faced here are increasing day by day so as its applications. From Punched cards to Handwritten Text, from images to video, from uniform font to universal font, from English text to Global language, from researchers to visually handicapped are the transformations obtained from an era of the 1980s to 2010. This paper has covered the advancement of acknowledging the characters, how are features are extracted, various methodologies used and more importantly what is the use of OCR.  Research India Publications.</text>
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                <text>International Journal of Applied Engineering Research, Vol-12, No. 7, pp. 1129-1137.</text>
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                <text>Marial A., Computer Science Department, Christ University, Bangalore, Karnataka, India; Jos J., Computer Science Department, Christ University, Bangalore, Karnataka, India</text>
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                <text>Feature films as pedagogy in higher education: A case study of Christ University, Bengaluru</text>
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                <text>Contemporary education system in India was initiated by the British for the maintenance of their imperial administration. After India became an independent country, conscious efforts were made to overhaul the educational system to produce proper administrators and contributors for Indian polity, economy and culture. To assess dynamics of Indian education, various committees and commissions were formed. It also meant change in education programs, curricula and syllabi to meet national needs and global challenges. Most universities in India have limited infrastructure, thus the role of private or deemed to be university becomes crucial. Christ University attending to the social structure, internationalization and employability demands, offers a number of quality educational programs to ensure employable graduates. This has led the way in devising pedagogy and curricula to align with the global higher education practices. Here we discuss the use of commercial feature film as a pedagogical tool in the classrooms within the Deanery of Humanities and Social Sciences and its implication.  2018, IGI Global.</text>
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                <text>Bali A.; Pinto A.J.</text>
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                <text>Handbook of Research on Media Literacy in Higher Education Environments, pp. 172-183.</text>
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                <text>Feature selection based on the classifier models: Performance issues in the prediagnosis of lung cancer</text>
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            <name>Subject</name>
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              <elementText elementTextId="138229">
                <text>Artificial neural network; Classifier; Data mining; Feature selections; Lung cancer; Pre-diagnosis</text>
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                <text>Dimensionality reduction is generally carried out to reduce the complexity of the computations in the large data set environment by removing redundant or de-pendent attributes. For the Lung cancer disease prediction, in the pre-diagnosis stage, symptoms and risk factors are the main information carriers. Large number of symptoms and risk attributes poses major challenge in the computation. Here in this study an attempt is made to compare the performance of the attribute selection models prior and after applying the classifier models. A total of 16 classifier models are preferred based on relevancy of the models with respect to the data types chosen, which are based on statistical, rule based, logic based and artificial neural network approaches. Feature set selection and ranking of attributes are done based on individual models. Based on the confusion matrix parameters the models prediction outcomes are found out in the supervisory training mode. The Confusion matrix of the models before and after dimensionality reduction is computed. Models are compared based on weighted Reader Operator Characteristics. Normalized weights are assigned based for the result of individual models and predictive model is developed. Predictive models performance is studied with target under supervised classifier model and it is observed that it is tallying with the expected outcome.  2005 - 2014 JATIT &amp;amp; LLS. All rights reserved.</text>
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                <text>Balachandran K.; Anitha R.</text>
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                <text>Journal of Theoretical and Applied Information Technology, Vol-59, No. 3, pp. 549-555.</text>
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            <name>Publisher</name>
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              <elementText elementTextId="138233">
                <text>Asian Research Publishing Network (ARPN)</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893519101&amp;amp;partnerID=40&amp;amp;md5=05224267a85ff96196d7ae3c76bdaa3f" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893519101&amp;amp;partnerID=40&amp;amp;md5=05224267a85ff96196d7ae3c76bdaa3f&lt;/a&gt;</text>
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                <text>Restricted Access</text>
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              <elementText elementTextId="138237">
                <text>ISSN: 19928645</text>
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              <elementText elementTextId="138239">
                <text>English</text>
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                <text>Balachandran K., Computer Science and Engineering Department, Christ University, Bangalore, Karnataka, India; Anitha R., K.S.Rangasamy College of Technology, Tiruchengodu, Tamil Nadu, India</text>
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                <text>Feature selection/dimensionality reduction</text>
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                <text>In today's world, medical image analysis is a critical component of research, and it has been extensively explored over the last few decades. Machine learning in healthcare is a fantastic advancement that will improve disease detection efficiency and accuracy. In many circumstances, it will also allow for early detection and treatment in remote or developing areas. The amount of medical data created by various applications is growing all the time, creating a bottleneck for analysis and necessitating the use of a machine learning method for feature selection and dimensionality reduction techniques. Feature selection is an important concept of machine learning since it affects the model's performance and the data parameters you utilize to train your machine learning models to have a big influence on the performance. The approach of minimizing the number of inputs in training data by reducing the dimension of your feature set is known as dimensionality reduction. Reduced dimensionality aids in the overall performance of the machine learning algorithms.  2023 River Publishers.</text>
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                <text>Stephen D.; Aswathy S.U.; Sajan P.P.; Thomas J.</text>
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                <text>Machine Learning for Healthcare Systems: Foundations and Applications, pp. 169-185.</text>
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                <text>ISBN: 978-877022810-7; 978-877022811-4</text>
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                <text>Stephen D., Department of Computer Science and Engineering, Jyothi Engineering College, India; Aswathy S.U., Department of Computer Science and Engineering, Jyothi Engineering College, India; Sajan P.P., C-DAC, India; Thomas J., Department of Computer Science and Engineering, Christ University, India</text>
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          <element elementId="50">
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                <text>Feature Subset Selection Techniques with Machine Learning</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="157192">
                <text>Scientists and analysts of machine learning and data mining have a problem when it comes to high-dimensional data processing. Variable selection is an excellent method to address this issue. It removes unnecessary and repetitive data, reduces computation time, improves learning accuracy, and makes the learning strategy or data easier to comprehend. This chapterdescribes various commonly used variable selection evaluation metrics before surveying supervised, unsupervised and semi-supervised variable selection techniques that tend to be often employed in machine learningtasks including classification and clustering. Finally, ensuing variable selection difficulties are addressed. Variant selection is an essential topic in machine learning and pattern recognition, and numerous methods have been suggested. This chapter scrutinizesthe performance of various variable selection techniques utilizing public domain datasets. We assessed the quantity of decreased variants and the increase in learning assessment with the selected variable selection techniques and then evaluated and compared each approach based on these measures. The evaluation criteria for the filter model are critical. Meanwhile, the embedded model selects variations during the learning model's training process, and the variable selection result is automatically outputted when the training process is concluded. While the sum of squares of residuals in regression coefficients is less than a constant, Lasso minimizes the sum of squares of residuals, resulting in rigorous regression coefficients. The variables are then trimmed using the AIC and BIC criteria, resulting in a dimension reduction. Lasso-dependent variable selection strategies, such as the Lasso in the regression model and others, provide a high level of stability. Lasso techniques are prone to high computing costs or overfitting difficulties when dealing with high-dimensional data.  2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.</text>
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              <elementText elementTextId="157193">
                <text>Chakraborty S.; Islam S.H.; Samanta D.</text>
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                <text>EAI/Springer Innovations in Communication and Computing, pp. 159-175.</text>
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              <elementText elementTextId="157195">
                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>2022-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-3-030-93088-2_7" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-3-030-93088-2_7&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130548827&amp;amp;doi=10.1007%2F978-3-030-93088-2_7&amp;amp;partnerID=40&amp;amp;md5=fe3f57c54310a65762eab863bf2bce3e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130548827&amp;amp;doi=10.1007%2f978-3-030-93088-2_7&amp;amp;partnerID=40&amp;amp;md5=fe3f57c54310a65762eab863bf2bce3e&lt;/a&gt;</text>
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                <text>ISSN: 25228595</text>
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                <text>English</text>
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                <text>Chakraborty S., JIS University, Dum Dum Cantonment, India; Islam S.H., Indian Institute of Information Technology Kalyani, West Bengal, India; Samanta D., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Features of Vitamin Model Affecting Psychological Empowerment: Serial Mediation Role of Job Crafting and Work Engagement</text>
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          <element elementId="49">
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              <elementText elementTextId="106532">
                <text>job crafting; job design; job features; psychological empowerment; redesign; serial mediation; structural equation model; vitamin model; work engagement; work meaningfulness</text>
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              <elementText elementTextId="106533">
                <text>The current research aimed to investigate the association between the variables under the study, that is, the vitamin model features of a job: job crafting, work engagement, and psychological empowerment. It also attempted to analyze the serial mediational role of the two causally linked mediators, that is, job crafting and work engagement with the job features of the vitamin model and psychological empowerment. By investigating these variables, we tried to explore how the employees redesigned the well-defined jobs to match their capabilities, which enhanced commitment to work and led to positive behavioral outcomes, such as empowerment, work meaningfulness, and improved performance. Primary data were collected from 453 knowledge workers in the information technology (IT) and information technology-enabled services (ITES) industry. Using SPSS software, the correlation method revealed significant positive correlations between the variables under study. PROCESS macro (Haynes, 2012) was applied in SPSS AMOS regression-based path coefficients and bootstrap confidence intervals at a 95% confidence level. As the bootstrap confidence intervals did not include zero, a significant mediational role of the serial mediators was observed between the relationship of features in the vitamin model and psychological empowerment [Estimate =.0761, 95% CI (.0257,.1902)]. So, it could be concluded that job crafting made the employees the mechanic of their vehicle (work), leading to work engagement, increased performance, and psychological well-being at the workplace.  2022, Associated Management Consultants Pvt. Ltd.. All rights reserved.</text>
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                <text>Kumar G.V.; Valarmathi B.</text>
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                <text>Prabandhan: Indian Journal of Management, Vol-15, No. 8, pp. 42-58.</text>
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                <text>Associated Management Consultants Pvt. Ltd.</text>
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                <text>Chand E., Dept. of ECE, Faculty of Engineering, CHRIST (Deemed to be University), Bengaluru, India; Ashok Reddy C., FPGA Design, Eldaas Technologies Pvt. Ltd, Bengaluru, India; Aswathakumara M., Dept. of ECE, Faculty of Engineering, CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>blockchain; consensus protocols; Federated learning; machine learning; smart contracts</text>
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                <text>Gaining significant attention within decentralized contexts, Federated Learning (FL) has been positioned as a highly desirable method for machine learning. By enabling multiple entities to train a shared model cooperatively, data privacy and security are preserved by Federated Learning. Harnessing inherent transparency and accountability of blockchain technology to trace and authenticate updates effectively in federated learning has transpired as an up-and-coming avenue to tackle data challenges related to confidentiality, protection, and reliability. This study examines the viability of federated learning and blockchain integration across multiple dimensions. The technological components of this integration., including incentive systems, consensus mechanisms, data validation, and smart contracts, are delved into. In the study, a novel proposed model for federated learning integrated with blockchain is designed and implemented. It is observed that the mean cypher size is 100 bytes for varying values of gradients. The average throughput recorded is 1.7 bytes per second, while the mean accuracy is 87.1% for 50 epochs.   2023 IEEE.</text>
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                <text>Sharma S.; Pandey A.; Sharma V.; Mishra S.; Alkhayyat A.</text>
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                <text>Proceedings - International Conference on Technological Advancements in Computational Sciences, ICTACS 2023, pp. 1121-1127.</text>
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                <text>Sharma S., Kalinga Institute of Industrial Technology, Deemed to Be University, India; Pandey A., Oriental Institute of Science and Technology, Madhya Pradesh, Bhopal, India; Sharma V., Christ (Deemed to Be University), Delhi NCR, India; Mishra S., Christ (Deemed to Be University), Delhi NCR, India, 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>Female Director and Agency Cost: Does board gender diversity at Indian corporate board reduce agency conflict?</text>
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                <text>Assets Utilisation ratio; Bombay Stock Exchange; Corporate Governance; Dividend Payout Ratio; Principal-Agent Cost; Principal-Principal Cost</text>
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                <text>We examined the presence of women directors in top-level management and their effect on principal-principal conflict (PP) and principal-agent conflict (PA) on the firms listed on Indian stock exchange using a panel model approach. For analysis purpose, this study covers the sample of 75 companies belonging to various industries and listed in Bombay Stock Exchange Index, has been studied over thirteen financial years, i.e. from year 2006 to year 2019. This study uses panel data analysis, i.e. fixed effect model and random effect model. The proportion and presence (dichotomous) of women directors on top level management board is taken as the independent variable. Principalprincipal conflict measured by assets utilization ratio (AUR), and principal-agent conflict is been measured by dividend payout ratio (DPR), are taken as dependent variable in this study. The prime results of this study using panel data analysis, i.e. fixed effect (FE) and random effects (RE) estimation models point towards no significant impact of the female director (proportion and presence) on the firm's agency cost (PP and PA).  2021. Transnational Press London. All Rights Reserved.</text>
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                <text>ISSN: 20414684</text>
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                <text>Yadav S., Dr Shubhanker Yadav, Assistant Professor, Assistant Professor, Christ University, India; Yadav M.P., Dr Miklesh Prasad Yadav, Assistant Professor, Amity University, Noida, India</text>
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                <text>Alternative sexualities have been a part of the Indian past since time immemorial, and mention of them is often visible in Sanskrit mythological texts. As much as the presence of hijras and other gendered cultural identities is in Indian and Western public discourses, there is a narrow space occupied by women of the third kind with female masculinities, with scant attention leading to the higher invisibility of women of the third kind. Female masculinity is often considered a "rejected shred, " while male masculinity is seen as real and heroic. This chapter focuses on "masculinity without men" to explore alternative masculinities-the concept popularized by Judith Halberstam (Judith Halberstam, Female Masculinity. Zubaan Books, New Delhi, 1998). We delve into the politics of alternative modes of enactment and production where male masculinity is embedded. This chapter centers on female masculinity and alternative forms of masculinities performed, enacted, and embodied by female individuals as reflected in the Indian past and mythology. This chapter further delves into identifying histories and representations of female masculinities in Indian literature to bring female masculinities and women of the third kind into academic discourse.  Springer Nature Switzerland AG 2022. All rights reserved.</text>
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                <text>Tanupriya S., Department of English and Cultural Studies, School of Humanities and Social Sciences, Christ (Deemed to be University), Delhi NCR, India</text>
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                <text>Bellydance is an art form that has gained tremendous popularity in the world today. There are different kinds of bellydance such as folk, tribal fusion, cabaret etc. In a world and time where women‟s rights and respect has been the foremost of most people‟s concerns, bellydance with its barrier breaking techniques and methods have created controversies yet have also resulted in a form of dance that is beautiful and helps a woman celebrate herself.</text>
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                <text>With popular culture stemming largely from the superhero comics it is difficult to ignore them nowadays. Marvel and DC have also been going at great lengths to ensure that for the next ten years, there exists a whole stock of such movies, comics and merchandise. This in turn means that there is a growing need to document and study the patterns of this growing culture. Within this, the evolution of female characters and feminist ideologies must be mapped.</text>
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                <text>The Barefoot College (India) is an NGO working in the fields of education, skills development, health, drinking water, and solar power mainly to train older, rural women who are determined to challenge restrictive gender roles in their respective communities. Since its inception, the NGO has trained over 2,000 rural women as solar engineers across 93 countries worldwide and has brought electricity to over 18,000 homes. Barefoot trainers employ non-normative methods of sharing knowledge such as color coding, sign language, and practical experience. This paper conducts a critical assessment of the Barefoot College Solar Electrification Programme to explore how it empowers illiterate and semi-literate women from remote rural areas around the world to become solar engineers (or Solar Mamas). It utilizes qualitative research methods to analyze this women's empowerment project as a landmark practical application of decolonial feminist theory. The paper contends that the Barefoot approach both challenges and conforms to the Women in Development and Gender and Development approaches of the past. The research is grounded methodologically in feminist praxis and also borrows from the conceptual frameworks of Feminist Political Ecology and Women and the Politics of Place. Stories and personal experiences from Solar Mamas have been highlighted to understand the real world impact of the program. The main findings indicate that the Barefoot College's innovative approach to empower marginalized communities and educate older women is achieved through decentralizing control and demystifying technology.  (2024), (Bridgewater State College). All Rights Reserved.</text>
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                <text>Journal of International Women's Studies, Vol-26, No. 3</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195449324&amp;amp;partnerID=40&amp;amp;md5=924a2b95cdf40e28b5e01e7b4d40b137" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195449324&amp;amp;partnerID=40&amp;amp;md5=924a2b95cdf40e28b5e01e7b4d40b137&lt;/a&gt;</text>
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                <text>ISSN: 15398706</text>
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                <text>Shaikh N.P., Christ (deemed to be) University, Bangalore, India</text>
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                <text>Feminization of hunger in climate change: linking rural womens health and wellbeing in India</text>
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          <element elementId="49">
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              <elementText elementTextId="89951">
                <text>Gender and climate; gender inequality; India; individual food security; male-migration</text>
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            <description>An account of the resource</description>
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                <text>The links between climate change, food security and womens wellbeing remain an under-investigated area. This paper contributes to this area through a thorough examination of how women experience food insecurity in farming households in rural India. The households are located in four agro-climatic regions in India. These regions experience varied climatic pressures, and this diversity allows us to explore a wider variety of womens experiences in their attempts to maintain household food security as the climate changes. The study finds that women, even in comparatively more food-secure households, suffer from food insecurity. One of the reasons for this is that womens food habits and mealtimes have altered in recent years due to the increase in their work pressures. The worst effects are to be found in drought-prone areas, and there are greater vulnerabilities among women-headed households, indicating that the impacts of climate change are exacerbated by cultural norms that further hinder the role of women in farm activities.  2023 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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              <elementText elementTextId="89953">
                <text>Pattnaik I.; Lahiri-Dutt K.</text>
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              <elementText elementTextId="89954">
                <text>Climate and Development, Vol-16, No. 7, pp. 613-624.</text>
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              <elementText elementTextId="89955">
                <text>Taylor and Francis Ltd.</text>
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                <text>&lt;a href="https://doi.org/10.1080/17565529.2023.2282486" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/17565529.2023.2282486&lt;/a&gt;
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="89958">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
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                <text>ISSN: 17565529</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="89961">
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              <elementText elementTextId="89963">
                <text>Pattnaik I., Gujarat Institute of Development Research, Ahmedabad, India, CHRIST (Deemed to be University), Bangalore, India; Lahiri-Dutt K., Resource, Environment and Development Program, Crawford School of Public Policy, ANU College of Asia and the Pacific, The Australian National University, Canberra, Australia</text>
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                <text>Fermented aquatic weed meal (FAWM) as a protein source in Asian Catfish Clarias batrachus diets: Impacts on growth, blood chemistry profile, liver and gut morphology and economic efficiency</text>
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              <elementText elementTextId="76747">
                <text>Asian catfish; Fermented aquatic weed meal; Growth performance; Health status; Protein source; Sustainable aquaculture</text>
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            <name>Description</name>
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              <elementText elementTextId="76748">
                <text>The global aquaculture industry is increasingly seeking sustainable alternatives to fishmeal (FM) due to its high price and shortfall in supply. In this context, fermented aquatic weed meal (FAWM) could emerge as a viable plant protein source for aquafeed. Four isoproteic diets [30 % crude protein (CP)] were formulated, incorporating 50 % total protein from FAWM comprising fermented Azolla diet (D1), Pistia diet (D2), and Eichhornia diet (D3). The control diet (D0) did not contain FAWM. At the end of the 90 days feeding trial, their growth performance, whole-body proximate composition, gut microbial load, haemato-biochemical indices, liver and gut health, and economic efficiency were determined. Fish fed with D0 had significantly (p &amp;lt; 0.05) improved growth performance and feed utilization compared to other treatment groups. Meanwhile, the fish supplemented with D1 diet exhibited significantly (p &amp;lt; 0.05) higher final weight (g), specific growth rate (%/day), weight gain (%), total biomass (g), and protein efficiency ratio among the FAWM dietary groups. The D1 group also demonstrated the significantly (p &amp;lt; 0.05) highest whole-body CP (64.27  0.40 %) and lower crude lipid (8.24  0.28 %) compared to other test diets. The total bacteria (TB) and lactic acid bacteria (LAB) in the fish gut were found to be significantly (p &amp;lt; 0.05) higher in D1 group. Furthermore, most of the hemato-biochemical indices of fish were significantly (p &amp;lt; 0.05) affected by FAWM inclusions, with few exceptions. The histological findings indicated that amongst the FAWM groups, D1 fish exhibited improved intestinal health. Nonetheless, the gut of the control fish demonstrated substantially (p &amp;lt; 0.05) lower villi width and crypt depth than other treatments. The D1 and D2 diet groups had significantly improved liver health. Moreover, FAWM inclusion enhanced economic efficiency by considerably reducing farm feed cost (US$/kg) and increasing return on investment (%). In summary, dietary inclusion of fermented Azolla pinnata (D1) protein at 50 % in aquafeed promoted feed utilization, growth, health, and farm economics of Asian catfish fingerlings compared to other FAWM diets.  2024 The Authors</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="76749">
                <text>Shimul T.J.T.; Kallem P.; Nandi S.K.; Afrin S.; Suma A.Y.; Kari Z.A.; Sukri S.A.M.; Khoo M.I.; Roslan N.A.; Guru A.; Velayudhannair K.; Eissa E.-S.H.; Shahab Uddin M.; Kabir M.A.</text>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="76750">
                <text>Aquaculture Reports, Vol-38</text>
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            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="76751">
                <text>Elsevier B.V.</text>
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              <elementText elementTextId="76752">
                <text>2024-01-01</text>
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              <elementText elementTextId="76753">
                <text>&lt;a href="https://doi.org/10.1016/j.aqrep.2024.102305" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.aqrep.2024.102305&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201400020&amp;amp;doi=10.1016%2Fj.aqrep.2024.102305&amp;amp;partnerID=40&amp;amp;md5=1c51cec4890783d3359179d6cc0c982a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201400020&amp;amp;doi=10.1016%2fj.aqrep.2024.102305&amp;amp;partnerID=40&amp;amp;md5=1c51cec4890783d3359179d6cc0c982a&lt;/a&gt;</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="76754">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
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              <elementText elementTextId="76755">
                <text>ISSN: 23525134</text>
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            <name>Format</name>
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              <elementText elementTextId="76757">
                <text>English</text>
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          </element>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="76759">
                <text>Shimul T.J.T., Department of Aquaculture, Faculty of Fisheries, Sylhet Agricultural University, Sylhet, 3100, Bangladesh; Kallem P., Department of Environmental and Public Health, College of Health Sciences, Abu Dhabi University, P.O. Box 59911, Abu Dhabi, United Arab Emirates; Nandi S.K., Department of Aquaculture, Faculty of Fisheries, Sylhet Agricultural University, Sylhet, 3100, Bangladesh; Afrin S., Department of Aquaculture, Faculty of Fisheries, Sylhet Agricultural University, Sylhet, 3100, Bangladesh; Suma A.Y., Department of Aquaculture, Faculty of Fisheries, Sylhet Agricultural University, Sylhet, 3100, Bangladesh; Kari Z.A., Department of Agricultural Sciences, Faculty of Agro-Based Industry, Universiti Malaysia Kelantan, Jeli Campus, Jeli, 17600, Malaysia, Advanced Livestock and Aquaculture Research Group, Faculty of Agro-Based Industry, Universiti Malaysia Kelantan, Jeli Campus, Jeli, 17600, Malaysia; Sukri S.A.M., Department of Agricultural Sciences, Faculty of Agro-Based Industry, Universiti Malaysia Kelantan, Jeli Campus, Jeli, 17600, Malaysia, Advanced Livestock and Aquaculture Research Group, Faculty of Agro-Based Industry, Universiti Malaysia Kelantan, Jeli Campus, Jeli, 17600, Malaysia; Khoo M.I., Department of Chemical Pathology, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian, Kota Bharu, 16150, Malaysia; Roslan N.A., Department of Agricultural and Food Science, Universiti Tunku Abdul Rahman, Kampar Campus, Jalan Universiti, Bandar Barat, Perak, Kampar, 31900, Malaysia; Guru A., Department of Cariology, Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Tamil Nadu, Chennai, 600077, India; Velayudhannair K., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore Central Campus, Dharmaram Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Eissa E.-S.H., Fish Research Centre, Faculty of Environmental Agricultural Sciences, Arish University, El-Arish, Egypt; Shahab Uddin M., Department of Aquaculture, Faculty of Fisheries, Sylhet Agricultural University, Sylhet, 3100, Bangladesh; Kabir M.A., Department of Aquaculture, Faculty of Fisheries, Sylhet Agricultural University, Sylhet, 3100, Bangladesh, Department of Agricultural Sciences, Faculty of Agro-Based Industry, Universiti Malaysia Kelantan, Jeli Campus, Jeli, 17600, Malaysia</text>
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            <description>A name given to the resource</description>
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              <elementText elementTextId="77106">
                <text>Ferrocenyl aniline modified electrode for the electrochemical synthesis of 2-(4-methoxyphenyl)-1H-benzo[d]imidazole</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="77107">
                <text>Benzimidazole; Electrochemical synthesis; Electropolymerization; Environmentally friendly; Ferrocenyl aniline</text>
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            <description>An account of the resource</description>
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                <text>Ferrocenyl aniline is an excellent catalyst used conventionally for heterocyclic syntheses. The use of ferrocenyl aniline, in the presence of electropolymerized thiophene-3-acetic acid (TAA) on carbon fibre paper is novel and found to be an exceptional electrocatalyst, for the synthesis of a proven anti-fungal, anti-proliferative and anti-bacterial, 2-(4-methoxyphenyl)-1H-benzo[d]imidazole. The electrode performance was examined with activity studies and EIS, along with surface characterizations including optical profilometry, FE-SEM, FT-IR and XPS. The synthesis was performed in a single-cell three electrode system, using platinum as counter and saturated calomel electrode (SCE) as the reference, with ethanol as the electrolyte and lithium perchlorate supporting electrolyte. The reaction was performed with o-phenylenediamine and anisaldehyde as starting materials at ambient temperature and pressure, at 1.35 V constant potential for 3 h, and product was isolated and purified using column chromatography to obtain 91% yield and characterized with GCMS and NMR. This synthesis method is noteworthy, due to its environmentally friendly performance, and high yield for a benzimidazole derivative that is pharmacologically vital.  2024</text>
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                <text>Jayan K., Department of Chemistry, Christ University, Hosur Road, Karnataka, Bengaluru, 560029, India; Varghese A., Department of Chemistry, Christ University, Hosur Road, Karnataka, Bengaluru, 560029, India</text>
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