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                <text>Sustainable Construction and Heritage Conservation in the Digital Age;pp.237-264</text>
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                <text>Urbanization had a glacial pace in India for a good period of time. It became active only in the 21st century. However, compared to national average, Kerala's percentage of urban population was very high during the 1980-1990s. But along with urbanization, Kerala also faces many challenges like environmental degradation caused mainly through unsystematic waste management system. With the support of the Clean India Mission and in response to the Supreme Court verdicts, Kerala initiated the Suchitva Mission and Haritha Keralam Mission with the tagline of 'Clean Kerala' by effectively managing the waste. This mission functioned with the field work of Haritha Karma Sena (Green Task Force), mostly employed by uneducated women. They have provided awareness among the public and systematically managed waste with their committed work. However, it also has many drawbacks and failures with regard to its implementation. In line of above, this chapter tries to critically analyze the Haritha Karma Sena model of waste management in order to examine whether it is a suitable model of waste management.  2026, IGI Global Scientific Publishing.</text>
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                <text>Kerala Transforming: Labor and Trade Mobility in times of Pandemic;pp.99-117</text>
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                <text>Jayesh M.P., Department of Economics, Christ University, Bengaluru, India</text>
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                <text>Keratin is one of the most abundant natural polymers with potential application in various fields but is usually seen discarded as waste generated from poultry farms along roadsides and landfills. These are indeed the cheapest source of keratin protein which could be used for various applications. Owing to the structural properties, keratinous materials are now being exploited in wastewater treatment systems as adsorbents. The rich amino acid content having hydroxyl, carboxyl and amino groups has been found to be beneficial in removing contaminants from waste waters like heavy metals and dyes. Research based on this idea has received peak attention to a point where formulations of different adsorbent materials like nanofibre, biofilms and biocomposite from keratinous raw materials are now available for commercial use. This review summarises the application of keratin as an efficient adsorbent for waste water treatment providing an insight into its structure, forms of keratin used for treatments and mechanism of adsorption of different components in waste water.  2022 World Research Association. All rights reserved.</text>
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                <text>Stanly L.M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India</text>
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                <text>This research article proposes an automatic frame work for detecting COVID -19 at the early stage using chest X-ray image. It is an undeniable fact that coronovirus is a serious disease but the early detection of the virus present in human bodies can save lives. In recent times, there are somany research solutions that have been presented for early detection, but there is still a lack in need of right and even rich technology for its early detection. The proposed deep learning model analysis the pixels of every image and adjudges the presence of virus. The classifier is designed in such a way so that, it automatically detects the virus present in lungs using chest image. This approach uses an image texture analysis technique called granulometric mathematical model. Selected features are heuristically processed for optimization using novel multi scaling deep learning called light weight residual-atrous spatial pyramid pooling (LightRES-ASPP-Unet) Unet model. The proposed deep LightRES-ASPPUnet technique has a higher level of contracting solution by extracting major level of image features. Moreover, the corona virus has been detected using high resolution output. In the framework, atrous spatial pyramid pooling (ASPP) method is employed at its bottom level for incorporating the deep multi scale features in to the discriminative mode. The architectural working starts from the selecting the features from the image using granulometric mathematical model and the selected features are optimized using LightRESASPP- Unet. ASPP in the analysis of images has performed better than the existing Unet model. The proposed algorithm has achieved 99.6% of accuracy in detecting the virus at its early stage.  2022 Tech Science Press. All rights reserved.</text>
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                <text>Devipriya A.; Prabu P.; Venkatachalam K.; Ibrahim A.Z.</text>
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                <text>Computers, Materials and Continua, Vol-71, No. 1, pp. 651-666.</text>
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                <text>Devipriya A., Department of Computer Science and Engineering, KPR Institute of Engineering and Technology, Coimbatore, 641407, India; Prabu P., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, 560029, India; Venkatachalam K., Department of Applied Cybernetics, Faculty of Science, University of Hradec Kralove, Hradec Kralove, 50003, Czech Republic; Ibrahim A.Z., Computer Sciences Department, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, KSA.P.o.Box: 84428, Riyadh, 11671, Saudi Arabia</text>
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                <text>2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering, UPCON 2023, pp. 669-674.</text>
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                <text>This chapter examines higher education institutions' complex obstacles in developing and implementing effective learning outcomes. It emphasizes the need for outcomes that include subject-specific and general skills, meet students' diverse requirements, align with market demands, and incorporate emerging technologies. To facilitate student success in the 21st century, institutions must address these. It examines multidisciplinary programs, technology integration, faculty training, and student participation in outcome formation. It proposes enhancing outcomes through emerging technologies, social and emotional learning, global citizenship education, and entrepreneurship education, emphasizing student-centred approaches. Effective learning outcomes are essential for fostering student success in a constantly changing environment. Case studies from India, the United Kingdom, and the United States provide insights, emphasizing India and lessons from the US and UK experiences.  2024, IGI Global. All rights reserved.</text>
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                <text>Increasing digital disruption is driving the necessity for Omni-Channel Retailing, compelling the integration of online and offline channels. The line between online and physical retailing is blurring as retailers intend to deliver a unified experience anytime anywhere, than a mere channel specific experience. As customer expectation for seamless experience intensifies, and retailers organizational, operational and technical barriers persist, it would be vital to formulate a suitable strategy towards e levating Omni-Channel Retail Experience. Though prior studies have observed the need for realigning the strategy around blended advantages of multiple channels, there is a limited understanding with regards to Omni-Channel Capabilities influencing customer experience elements. Besides, it is challenging to adopt all the capabilities within a competitive timeframe. Thus, the importance of prioritizing these capabilities remains fairly underexplored. This research aims to close this gap by ascertaining key Omni-Channel Dimensions and Capabilities influencing experiential aspects, pertaining to Apparel and Fashion retail, which is a leading category in India. The research first employs a qualitative study to corroborate the appropriateness of the Omni-Channel constructs identified from literature review, in the context of Indian retail market, followed by a quantitative study to validate their influence on Omni- Channel Retail Experience. The research determines key capabilities and dimensions from a retailers perspective that underpin key experience elements. The findings established new knowledge in terms of top priority capabilities towards Omni- Channel adoption, and accordingly designed a novel framework termed Capability Priority Framework as a plausible approach to elevate Omni-Channel Retail Experience. The framework is an original contribution of this research serving as an accelerator for retailers to build and reinforce key Omni-Channel capabilities. The research provides a novel perspective of extending The Dialectic Theory of retailing to a modern context such as Omni-Channel. It serves as a basis for organized retailers in India to realign their strategy towards Omni-Channel adoption, as they embark on this path. Finally, it adds to the knowledge base on Omni-Channel, providing a conceptual background towards strategic retailing and further research in this domain.</text>
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                <text>Increasing digital disruption is driving the necessity for Omni-Channel Retailing, compelling the integration of online and offline channels. The line between online and physical retailing is blurring as retailers intend to deliver a unified experience anytime anywhere, than a mere channel specific experience. As customer expectation for seamless experience intensifies, and retailers’ organizational, operational and technical barriers persist, it would be vital to formulate a suitable strategy towards elevating Omni-Channel Retail Experience. Though prior studies have observed the need for realigning the strategy around blended advantages of multiple channels, there is a limited understanding with regards to Omni-Channel Capabilities influencing customer experience elements. Besides, it is challenging to adopt all the capabilities within a competitive timeframe. Thus, the importance of prioritizing these capabilities remains fairly underexplored. This research aims to close this gap by ascertaining key Omni-Channel Dimensions and Capabilities influencing experiential aspects, pertaining to Apparel and Fashion retail, which is a leading category in India. The research first employs a qualitative study to corroborate the appropriateness of the Omni-Channel constructs identified from literature review, in the context of Indian retail market, followed by a quantitative study to validate their influence on Omni�Channel Retail Experience. The research determines key capabilities and dimensions from a retailers’ perspective that underpin key experience elements.</text>
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                <text>Thomas M.R., School of Commerce Finance and Accountancy, Christ University, Bangalore, India; S R., School of Commerce Finance and Accountancy, Christ University, Bangalore, India; Sharma P., School of Commerce Finance and Accountancy, Christ University, Bangalore, India</text>
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                <text>Purpose: The workplace has evolved to meet growth and sustainability requirements due to the changing landscape of work scenarios. Soon, Generation Z will be the largest share of the workforce globally as the digital era predominantly shapes Generation Zs behaviour; previous research shows that the corporate work culture has been bound to tailor policies to recruit, retain and motivate them. Thus, this paper aims to absorb the essence of the personalisation of employee experience for Generation Z. Design/methodology/approach: The primary aim of this study was to investigate the factors Generation Z consider important for a better workspace culture with reference to personalisation. Hence, factor analysis was employed as an exploratory method using data from 235 respondents based in South Bangalore  a diverse region known as the Silicon Hub, attracting employees from across India. Findings: The study identifies three primary factors that are crucial for personalising the employee work experience: Employee Empowerment, Work Flexibility and Artificial Intelligence Integration, which helps employers understand the need for Generation Z workplace requirements. Research limitations/implications: The study indicates that employers should find ways to improve retention strategies by the concept of personalisation towards Generation Z's distinct workplace preferences. Practical implications: Employers should find ways to improve retention strategies by personalisation confined towards GenZers and involving other generations, making the workplace more flexible and pleasant for exhibiting skills and upscaling the employees career. Originality/value: This study delves into the factors influencing Generation Zs point of view on the personalisation of employee experience provided to them in their respective workplace.  2025, Emerald Publishing Limited.</text>
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                <text>Key Indicators of Corporate Financial Status: Empirical Evidence from Indian Industrial Sector</text>
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                <text>Bankruptcy; Financial Distress; Financial Ratios; Financial Status; IBC; India; Key Indicators</text>
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                <text>The present pandemic situation has led to the rise in the number of financially distressed companies in the Indian business ecosystem. Stakeholders, especially shareholders, unsecured and trade creditors who do not enjoy lien on company assets, should be extra cautious about the financial status of a company before making any investment or lending decision. The present study attempts to suggest the key indicators of corporate financial status after analysing 12 ratios from the financial statements of 162 sample companies for five financial years. The suggested key indicators can assist the shareholders and creditors in differentiating a financially distressed company from a financially sound company in the Indian industrial sector.  2021 SCMS Group of Educational Institutions. All rights reserved.</text>
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                <text>SCMS Journal of Indian Management, Vol-18, No. 4, pp. 68-79.</text>
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                <text>Rani I., Kristu Jayanti College Autonomous, Bengaluru, India; Fernandes A., Kirloskar Institute of Management, Pune, India; Phatak G., Faculty of Management and Commerce. M S, Ramaiah University of Applied Sciences, Bengaluru, India; Parry S.A., The Oxford College of Business Management, Bengaluru, India; Swaroop K.R., School of Business and Management, CHRIST University, Bengaluru, India; Nagadeepa C., Kristu Jayanti College Autonomous, Bengaluru, India; Jaheer Mukthar K.P., Kristu Jayanti College Autonomous, Bengaluru, India</text>
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                <text>Khaki on Screen: Understanding the Representation of Cops in Malayalam Cinema</text>
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                <text>Quarterly Review of Film and Video;Volume;42;Issue;3;pp.729-745</text>
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                <text>&lt;a href="https://doi.org/10.1080/10509208.2023.2242065" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/10509208.2023.2242065&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105003380323?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105003380323?origin=resultslist&lt;/a&gt;</text>
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                <text>Koickakudy M.J., Department of Media Studies, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>ISSN: 10509208;</text>
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