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                <text>Cultural quotient: Evolving culturally intelligent business scholar-practitioners</text>
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                <text>Analytical competency is an essential skill when it comes to the present-day business scenario of the world. However, these days we see a shift in the business needs when it comes to working in a globalized environment. Not only is the intelligence quotient (IQ) looked at but organizations these days are in pursuit of individuals who have another side to their profile - the culturally intelligent side (assessed using the cultural quotient). The need of such a skill can be attributed to the fact that organizations are now churning out their human side of addressing the employees when it comes to ensuring that they blend in the organization with ease. Acquiring a workforce which possesses high cultural intelligence can be a tough task; however, training employees to become culturally competent can be a doable task. Like any other personality trait which can be imbibed over time through constant analysis and observation, cultural competency is one such area which may be cultivated through various methodologies and practices.  2018, IGI Global.</text>
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                <text>Kapse M.; Bhattacharjee S.; Raj P.</text>
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                <text>Handbook of Research on Cross-Cultural Business Education, pp. 325-339.</text>
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                <text>&lt;a href="https://doi.org/10.4018/978-1-5225-3776-2.ch015" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/978-1-5225-3776-2.ch015&lt;/a&gt;
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                <text>Kapse M., Christ University, India; Bhattacharjee S., Christ Institute of Management, India; Raj P., Christ Institute of Management, India</text>
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                <text>Cultural Violence, Violent Gendering, and Abjection: Discourses on Sites of Violence through Trans Womens Narratives from India</text>
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                <text>Abject; Culture; Gendering; Trans narratives; Trans women; Violence</text>
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                <text>The conventional cultural construct of gender and sexuality embedded in the dichotomous paradigm makes it challenging for people with queer and trans identities to fit into an assigned social role. Violent gendering takes place where women are seen as secondorder beings, disciplined and controlled by men, the first-order beings. The process of feminization and femininity is linked to women, which fixates on the idea that one is born a woman rather than one becomes a woman. This violent process of acculturation to these set norms comes with a lot of vulnerability for trans people in the form of abiding by the parameters of femininity and the threat of physical violence against their intersecting and transitioning bodies. Kristevas conception of abjection can be used to understand the discriminatory behavior against outcasts whose sexual or gender practices fall outside of the normative standards and conventions. At the same time, cultural violence, which Charlotte Bunch (2015) describes, is the culturally embedded practice and assumption of domination over women in virtually all societies. She also emphasizes that there is a need to understand that all violence against women is supported by cultural attitudes, which she argues is the real cultural challenge of violence. Keeping in perspective the idea put forth by Bunch, this article critically examines the violence reinforced by culture, and the process of gendering, with a central focus on the intersectional experiences of trans bodies as abject between gender, sex, and culture. This leads to the systematic violence enacted upon them by the invisible disciplinarians. The article considers 21st-century trans womens narratives, Laxmi Narayan Tripathis Me Hijra, Me Laxmi (2015) and Red Lipstick: The Men in my Life (2016). This article contextualizes and situates trans narratives, which provide insight into how trans womens bodies are seen as abject and have gone through the violent process of gendering and culturing  2022 Journal of International Womens Studies</text>
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                <text>Tanupriya; Pannikot D.</text>
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                <text>Journal of International Women's Studies, Vol-24, No. 6</text>
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                <text>Bridgewater State College</text>
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                <text>ISSN: 15398706</text>
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                <text>Tanupriya, CHRIST (Deemed to be University), Delhi NCR, India; Pannikot D., India</text>
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                <text>Cumulative istributionfunction: Stock price forecasting</text>
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                <text>Bearings Industry; Chemical Industry; Cumulative Distribution Function; Prediction; Stock Price</text>
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                <text>In this paper, an attempt has been made to predict the movement of the stock price for the next day using Cumulative Distribution Function (CDF). For the purpose of the research, three companies from the Bearings Industry, namely - ABC Bearings Ltd, SNL Bearings Ltd and Austin Engineering Company Ltd, and two companies from the chemical industry, namely-Nocil ltd and Manali Petrochemicals Ltd were chosen. Historical prices of these companies were analyzed and by using Cumulative Distribution Function (CDF) the movement of the stock price for the next day is predicted.  2017 IEEE.</text>
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                <text>Ravichandra T.; Thingom C.</text>
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                <text>IEEE International Conference on Innovative Mechanisms for Industry Applications, ICIMIA 2017 - Proceedings, pp. 394-398.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICIMIA.2017.7975643" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICIMIA.2017.7975643&lt;/a&gt;
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                <text>ISBN: 978-150905960-7</text>
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                <text>Ravichandra T., Department of Professional Studies, Christ University, Bangalore, India; Thingom C., Centre for Digital Innovation, Christ University, Bangalore, India</text>
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                <text>Curcumin Analogues as Organic Fluorophores for Latent Fingerprint Imaging</text>
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                <text>Aggregation-induced emission; Curcumin; Emission; Latent fingerprint; Organic fluorophore</text>
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                <text>Synthesis and characterization of two curcumin analogues BAA and Br-AA via a condensation reaction was reported. Both the synthesized organic luminophores exhibited aggregation-induced emission (AIE) with bright yellow and green emission respectively. Increase in the water% enhanced the emission by both the compounds confirmed the AIE property. A detailed study of latent fingerprints visualization was also carried out for both the analogues. Both the compounds showed good to normal capability to develop latent fingerprints (LFPs). Compound BAA performed better as a fluorescent material to develop LFPs compared to Br-AA. The LFPs developed were analyzed to obtain 13 level of fingerprint patterns under UV 365 nm illumination. The LFPs developed using BAA exhibited excellent efficiency, sensitivity, high contrast with low background interreference. All three levels of fingerprint patterns were identified by BAA. However, Br-AA showed inability to develop high clarity images of latent fingerprints. The solid-state emission nature of the analogues was also evaluated from their emission spectra and CIE coordinates were found to be were (0,187, 0.518) and (0.265, 0.484) for BAA and Br-AA respectively.  2024 Wiley-VCH GmbH.</text>
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                <text>Kush Durgi N.; Pavana N.; Ramesh D.K.; Pralhad Pujar P.</text>
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                <text>ChemistrySelect, Vol-9, No. 32</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201712902&amp;amp;doi=10.1002%2Fslct.202401588&amp;amp;partnerID=40&amp;amp;md5=fbf191a448cea2f9f760ecd42912e6c4" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85201712902&amp;amp;doi=10.1002%2fslct.202401588&amp;amp;partnerID=40&amp;amp;md5=fbf191a448cea2f9f760ecd42912e6c4&lt;/a&gt;</text>
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                <text>Kush Durgi N., Department of Chemistry, CHRIST (Deemed to be University), Hosur main road, Bhavani Nagar, S G palya, Bangalore, 560029, India; Pavana N., Department of Chemistry, CHRIST (Deemed to be University), Hosur main road, Bhavani Nagar, S G palya, Bangalore, 560029, India; Ramesh D.K., Department of Chemistry, CHRIST (Deemed to be University), Hosur main road, Bhavani Nagar, S G palya, Bangalore, 560029, India; Pralhad Pujar P., Department of Chemistry, CHRIST (Deemed to be University), Hosur main road, Bhavani Nagar, S G palya, Bangalore, 560029, India</text>
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                <text>Background: Omicron (B.1.1.529), a variant of SARS-CoV-2 is currently spreading globally as a dominant strain. Due to multiple mutations at its Spike protein, including 15 amino acid substitutions at the receptor binding domain (RBD), Omicron is a variant of concern (VOC) and capable of escaping vaccine generated immunity. So far, no specific treatment regime is suggested for this VOC. Methods: The three-dimensional structure of the Spike RBD domain of Omicron variant was constructed by incorporating 15 amino acid substitutions to the Native Spike (S) structure and structural changes were compared that of the Native S. Seven phytochemicals namely Allicin, Capsaicin, Cinnamaldehyde, Curcumin, Gingerol, Piperine, and Zingeberene were docked with Omicron S protein and Omicron S-hACE2 complex. Further, molecular dynamic simulation was performed between Crcumin and Omicron S protein to evaluate the structural stability of the complex in the physiological environment and compared with that of the control drug Chloroquine. Results: Curcumin, among seven phytochemicals, was found to have the most substantial inhibitory potential with Omicron S protein. Further, it was found that curcumin could disrupt the Omicron S-hACE2 complex. The molecular dynamic simulation demonstrated that Curcumin could form a stable structure with Omicron S in the physiological environment. Conclusion: To conclude, Curcumin can be considered as a potential therapeutic agent against the highly infectious Omicron variant of SARS-CoV-2.  2022 Elsevier Ltd</text>
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                <text>All Open Access; Green Open Access</text>
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                <text>Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India; Banerjee R., School of Biological and Environmental Sciences, Shoolini University, Himachal Pradesh, Solan, 173229, India; Paul S., School of Biotechnology, Presidency University, Canal Bank Rd, DG Block, Action Area 1D, West Bengal, New Town, 700156, India; Kundu R., Department of Botany, University of Calcutta, West Bengal, Kolkata, 700019, India</text>
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                <text>Currency Exchange Rate Prediction Using Multi-layer Perceptron</text>
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                <text>Financial forecasting is an estimate of a future financial outcome and this outcome is related to some kind of value. We can measure this outcome for a company to predict its future stock or to detect the viability of a human for the sanction of a loan. In all these cases, we want to estimate the future outcome based on historical data. Various methods have been developed lately, to make time series predictions. In this work, we have used Multi-layer perceptron algorithm to predict the Currency Exchange rate between US dollar and EURO. The training network has been compiled using TensorFlow.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Middi A.R.; Middi V.S.R.</text>
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                <text>Lecture Notes in Electrical Engineering, Vol-783, pp. 231-237.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119875778&amp;amp;doi=10.1007%2F978-981-16-3690-5_20&amp;amp;partnerID=40&amp;amp;md5=7c7dcef1a43c8f1984d91c65f49bf0ed" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119875778&amp;amp;doi=10.1007%2f978-981-16-3690-5_20&amp;amp;partnerID=40&amp;amp;md5=7c7dcef1a43c8f1984d91c65f49bf0ed&lt;/a&gt;</text>
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                <text>Middi A.R., Christ University, Bengaluru, India; Middi V.S.R., Brown University, Providence, RI, United States</text>
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                <text>CURRENT POPULARITY OF ASSAMESE CINEMA</text>
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                <text> Borkotoky Sujata</text>
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                <text>This research study entitled-??Current popularity of Assamese Cinema is a study on the status and recent growth of the Assamese film Industry and to explore the present scenario after a lots of bottlenecks. The prime focus is on the current level of popularity of the Assamese films and the paper is also directed towards the understanding of how the industry is rising and trying to achieve the position despite its long history, and its artistic successes, for a state (Assam) that has always taken its cinema seriously and after making a mark various prestigious Awards over the years. The methodology was devised with surveys, which was followed by a predominantly qualitative  and  quantitative  data  analysis  to  help  to  verify  the  objective  of  the research. The research was based mainly on audience survey and Experts?? opinion. After  analyzing  the  survey  results,  it  can  be  concluded  that  people  still  watch Assamese films but it is not as popular like earlier days. The condition of Assamese film industry is not so great but if people take initiatives then there is a hope of a bright future, whereas one cannot ignore the developments which has been taking place in the recent place.</text>
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                <text>Gastric cancer (GC) is amongst the most difficult cancers to treat and, hence, has to be studied from the roots to be properly analysed. The disease starts as precancerous lesions which have to be observed. This includes dysplasia, atrophic gastritis and intestinal metaplasia. This is effective for detecting the prognosis of GC so that it can be resolved in early stages. This is dependent on a variety of risk factors which include blood type, gender, age, geography, gene polymorphisms, acid secretion, pernicious anemia, oxidative damage, previous gastric surgery, etc. Probably the most important, however, is infection by H. Pylori. With respect to virulence factors and host factors, both are significant players in the development of several cases of malignancies. Other genetic factors and lifestyle choices including alcohol use, tobacco usage and obesity, will also be analysed. There are also several genetic conditions that cause high risk of development into a malignancy including Menetrier s disease, hereditary diffuse GC, Lynch syndrome, Peutz-Jeghers syndrome, Li Fraumani syndrome etc. Several diagnostic procedures such as lab tests, physical examinations and biopsy are used. The current review analysed the factors which are involved in the prognosis and causative agents in the development of GC. This is to better understand how GC can be diagnosed and confirmed. This may include molecular testing, including genes, which can be of high risk followed by modern treatment methods discussing surgery, chemotherapy, immunotherapy and radiotherapy. Chemotherapy includes discussion of several drugs and how they target the malignancy in question. By understanding the disease in detail, through causes, prognosis, detection and treatment, we can go one step closer to find the cure for GC.  2022 World Research Association. All rights reserved.</text>
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              <elementText elementTextId="196377">
                <text>Manikantan P.; Anushka S.; Arun M.; Balamuralikrishnan B.; Anand A.V.</text>
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                <text>Research Journal of Biotechnology, Vol-17, No. 9, pp. 134-144.</text>
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                <text>&lt;a href="https://doi.org/10.25303/1709rjbt1340144" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.25303/1709rjbt1340144&lt;/a&gt;
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                <text>ISSN: 9736263</text>
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                <text>Manikantan P., Department of Life Sciences, CHRIST (Deemed to Be) University, Bangalore, 560029, India; Anushka S., Department of Life Sciences, CHRIST (Deemed to Be) University, Bangalore, 560029, India; Arun M., Department of Life Sciences, CHRIST (Deemed to Be) University, Bangalore, 560029, India; Balamuralikrishnan B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, South Korea; Anand A.V., Department of Human Molecular Genetics, Bharathiar University, Coimbatore, 641046, India</text>
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                <text>Current status and future trends on the use of innovative technologies for recovering bioactive from insects</text>
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                <text>Bioactive compounds; Cold atmospheric pressure plasma; Emerging technology; Functional food; High hydrostatic pressure; Insect processing</text>
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                <text>Edible insects hold great potential as human food owing to their nutritional, economic and environmental value. Though, the negative perceptions of insects limit their intake by majority of the insects, their efficient processing and utilization in food products have steadily increased their demand in recent years. This chapter deals with the emerging and advanced extraction techniques for recovering functional and bioactive compounds from insects, considering the various factors which might influence the optimum yields. Apart from their production yields, it is of utmost significance to preserve their nutritional and sensory qualities for their effective utilization in functional food products. In this regard, various emerging technologies such as enzymatic hydrolysis, cold atmospheric pressure plasma, ultrasound-assisted extraction, high hydrostatic pressure have been explored. Mechanisms of action along with their benefits and drawbacks have been thoroughly described in the later part of the chapter which will provide insight to the readers for the selection of optimum technology for insect processing. Overall, this chapter provides the readers a comprehensive view about alternatives to conventional techniques for postprocessing of insects and optimization for case-specific technology.  2024 Elsevier Inc. All rights reserved.</text>
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                <text>Surya Ulhas R.; Sharma H.; Malaviya A.; Rajauria G.</text>
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                <text>Insects as Food and Food Ingredients: Technological Improvements, Sustainability, and Safety Aspects, pp. 145-159.</text>
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                <text>Restricted Access</text>
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                <text>ISBN: 978-032395594-2; 978-032395595-9</text>
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            <name>Format</name>
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                <text>Surya Ulhas R., Faculty of Biological Sciences, University of Jena (Friedrich-Schiller-Universit), Jena, Germany; Sharma H., Dairy Technology Division, ICAR-National Dairy Research Institute, Haryana, Karnal, India; Malaviya A., Department of Life Sciences, School of Sciences, CHRIST (Deemed to be University), Karnataka, Bengaluru, India, QuaLife Biotech Private Limited, Karnataka, Bengaluru, India; Rajauria G., School of Microbiology, School of Food and Nutritional Sciences, University College Cork, Cork, Ireland, SUSFERM Centre for Sustainable Fermentation and Bioprocessing Systems for Food and the Bioeconomy, University College Cork, Cork, Ireland</text>
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            <element elementId="50">
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                <elementText elementTextId="64989">
                  <text>MPHIL</text>
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              </elementTextContainer>
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      <name>Mphil</name>
      <description>Mphil Thesis</description>
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                <text>Current status of e-governance in healthcare in the large hospitals of Bangalore /</text>
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              <elementText elementTextId="4570">
                <text>Shukla, Vertika. - 0930010</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="4573">
                <text>Healthcare industry has seen a lot of transformation and innovation over the years. It is coming forward as a recognised sector in India after Information Technology and Pharmaceutical. But despite this Indias healthcare infrastructure has not kept pace with the economies and the sectorial growth. Enormous amount of resources have been spent but very little change on actual health status is noticed. This study is undertaken to assess the current status of e-governance (ICT) in large hospitals and try and find out the awareness and accessibility of e-governance to the patients. The survey conducted in hospitals involved the patients responses and responses from the Healthcare Professionals (HCPs). An attempt has been made to find out the effectiveness of various ICT applications in the healthcare like EHR/ EMR or Telehealthcare. Majority of the research on e-governance focussed on overall effective governance and administration but very few studies have been done to highlight the status of e-governance in healthcare in India.</text>
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              <elementText elementTextId="17834">
                <text>Management</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="17835">
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            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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      <name>Book Chapter</name>
      <description>Faculty Publications- Book Chapter</description>
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          <element elementId="50">
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              <elementText elementTextId="152775">
                <text>Current Trends in Career Decision in Youth: Opportunities and Challenges</text>
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          <element elementId="49">
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              <elementText elementTextId="152776">
                <text>Career; Career decision-making; Decision-making; Youth</text>
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              <elementText elementTextId="152777">
                <text>In todays times, career is a crucial life decision. Due to its paramount importance in our lives, the youth experience diverse kinds of stresses and pressures while choosing their career in life. Contrary to earlier handful career options, current trends offer an unlimited mix of traditional as well as unconventional career roles which further create confusion and anxiety while making the final decision. Newer factors, challenges and opportunities have forced a change of frameworks and perspectives to career decision-making. In career counselling, current trends are shifting away from the traditional practice of matching skill-sets to the job. Todays career decision-making takes an inclusive approach by discussing the various internal influences, emotional management, cognitive thinking styles, coping strategies, adaptability, etc. as well as external influences of uncertainty, evolving lifestyle demands, changing economic tapestry, etc. In addition, the influences of gender, family and culture affect the nature of the goals and their acceptability. The current chapter throws light on the evolving scenario in the field of career decision-making among the youth and attempts to offer solutions to the challenges being faced by the youth.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.</text>
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                <text>Bagchi U.; Reddy K.J.</text>
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              <elementText elementTextId="152779">
                <text>Handbook of Youth Development: Policies and Perspectives from India and Beyond, pp. 223-235.</text>
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              <elementText elementTextId="152780">
                <text>Springer Nature</text>
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              <elementText elementTextId="152783">
                <text>Restricted Access</text>
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                <text>ISBN: 978-981994969-4; 978-981994968-7</text>
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                <text>Research conducted in this work proposes an equation to evaluate and compares the curvature ductility of reinforced masonry (RM) and reinforced concrete (RC) walls. The curvature ductilities are measured at varying levels of axial stresses for walls for aspect ratio (l/h) of 0.5, 1.0 and 1.5. The percentage of reinforcement is increased from 0.25% (minimum reinforcement for RC walls as per IS-13920) to 1.00%. The curvature ductilities are evaluated by plotting flexural strength (M) versus curvature (?) for the walls. The stressstrain curves of masonry, concrete and reinforcing steel are all adopted from existing literature. The compressive strength of masonry and concrete has been chosen as 10MPa and 25MPa, respectively. The yield strength of the steel is fixed as 415MPa. The height and thickness of the wall are 3000 and 230mm, respectively, and the length of the wall is varied to obtain different aspect ratios. Results obtained from this paper imply due to increase curvature ductility, RM walls provide a better alternative for the construction of structural walls compared to RC walls in regions of significant seismicity.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Curvit is an open-source Python package that facilitates the creation of light curves from the data collected by the Ultra-Violet Imaging Telescope (UVIT) onboard AstroSat, Indias first multi-wavelength astronomical satellite. The input to Curvit is the calibrated events list generated by the UVIT-Payload Operation Center (UVIT-POC) and made available to the principal investigators through the Indian Space Science Data Center. The features of Curvit include: (i) automatically detecting sources and generating light curves for all the detected sources and (ii) custom generation of light curve for any particular source of interest. We present here the capabilities of Curvit and demonstrate its usability on the UVIT observations of the intermediate polar FO Aqr as an example. Curvit is publicly available on GitHub at https://github.com/prajwel/curvit.  2021, Indian Academy of Sciences.</text>
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                <text>Joseph P., Indian Institute of Astrophysics, Bangalore, 560 034, India, Department of Physics, CHRIST (Deemed to be University), Bangalore, 560 029, India; Stalin C.S., Indian Institute of Astrophysics, Bangalore, 560 034, India; Tandon S.N., Inter-University Centre for Astronomy and Astrophysics, Pune, 411 007, India; Ghosh S.K., Tata Institute of Fundamental Research, Mumbai, 400 005, India</text>
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                <text>Tamil Nadu, Opinion, In Perspective, Custodial death</text>
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                <text>Complications arising during pregnancy are one of the significant public health issues around the world. Being the critical aspect for the growth and development in every human's life, it is necessary to assess any pathological disturbance mainly concerning the well-being of the fetus and mother throughout pregnancy. Few women face health downline while pregnancy, whereas few faces before getting pregnant; both the conditions can lead to complications in maternal and fetal health. Usually, pregnancy-related complications disappear as soon as the baby is delivered or shortly after that. Few complications include premature delivery, abruption of the placenta, preeclampsia, and diabetes. At the same time, gestation and these complications reoccur in successive pregnancies at a higher rate. They can also make the women prone to lifelong medical complications such as metabolic diseases or cardiovascular disease later in life. Most of the complications are mild without progression, but it harms both the mother and baby when they progress. Hence, it is important to diagnose early the danger signs and provide antenatal care to elevate the chances of proper health in both the mother and infant throughout the pregnancy and afterwards. This chapter focuses on the complications faced in the early phase of pregnancies and the screening methods utilized to diagnose them early, along with long-term effects in mothers due to some complications.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.</text>
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                <text>Meyyazhagan A.; Kuchi H.; Pappuswamy M.; Di Renzo G.C.</text>
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                <text>Prenatal Diagnostic Testing for Genetic Disorders: The revolution of the Non-Invasive Prenatal Test, pp. 143-152.</text>
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                <text>Meyyazhagan A., Department of Obstetrics and Gynecology, Centre for Perinatal and Reproductive Medicine, University of Perugia, Perugia, Italy; Kuchi H., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Pappuswamy M., Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, Karnataka, India; Di Renzo G.C., Department of Obstetrics and Gynecology, Centre for Perinatal and Reproductive Medicine, University of Perugia, Perugia, Italy</text>
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                <text>Customer Behavior Analysis Using Unsupervised Clustering and Profiling: A Machine Learning Approach</text>
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                <text>Affiliation rule mining model; Agglomerative Clustering; Customer Behavior Prediction Model Analysis; Customer Segmentation; Hierarchical Clustering</text>
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                <text>Now-a-days, client conduct models are reliably established on information mining of client information, and each model is supposed to answer one solicitation at one point on schedule. Anticipating client conduct is a problematic and irksome task. Thus, making client conduct models requires the right strategy and approach. Right when an estimate model has been fabricated, it is challenging to restrict it for the motivations driving the advertiser, to pick the very thing displaying moves to make for every client or for the party of clients. Notwithstanding the multifaceted nature of this arrangement, most client models are completely fundamental. As the need might arise, most client conduct investigation models ignore such endless proper factors that the gauges they make are overall not altogether strong. This paper plans to encourage a connection rule mining model to expect client conduct using a typical electronic retail store for data combination and concentrate critical examples from the client conduct data. In this undertaking, a solo grouping of information on the customer's records from a regular food item company's data set will be played out. Customer segmentation is the act of clustering customers into bunches that reflect likenesses among customers in each group. Customers are separated into sections to advance the meaning of every customer to the business. To change items as indicated by unmistakable requirements and practices of the customers. It additionally assists the business with obliging the worries of various kinds of customers. Customers were clustered using a technique known as agglomerative clustering, which is a type of hierarchical clustering. Agglomerative clustering is a method for clustering data in a hierarchical order. It entails merging cases until you reach the appropriate number of clusters. The number of clusters to be produced is determined using the Elbow Method.  2022 IEEE.</text>
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                <text>Gopal A.C.; Jacob L.</text>
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                <text>2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 2075-2078.</text>
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                <text>&lt;a href="https://doi.org/10.1109/ICACITE53722.2022.9823646" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/ICACITE53722.2022.9823646&lt;/a&gt;
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                <text>Gopal A.C., Christ University, Department of Data Science, India; Jacob L., Christ University, Department of Data Science, India</text>
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                <text>Customer Lifetime Value Prediction: An In-Depth Exploration with Regression, Regularization and Hyperparameter Tuning</text>
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                <text>Customer life time value prediction; Hyperparameter turning; Learning curve; Regularization</text>
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                <text>In today's dynamic business environment, companies have been strategically shifting towards a customer-centric approach from their traditional product-centric focus. The main goal of this paper is to estimate customer lifetime value of 5,000 customers in the retail industry. This research follows a step-by-step approach to construct a multiple regression machine learning model. The model used in the study is based on the nine features to predict the customer life time value. First basic train-test split model is developed, which predicted 74% of variation in the customer lifetime value. This necessitates to improve the model performance, hence to address the multicollinearity problem lasso regularization is used. After lasso regularization , final model is trained with hyperparameter turning for further model performance improvement. The results show significant improvements in predicting customer lifetime value with the final model. This study suggests that the machine learning regression models can help to businesses to better understand how much value they can generate from individual customer.This deep understanding about customers helps retail businesses to align their customer engagement strategies to create a positive impact on the profitability and maximizing overall value offered to the customers.   2024 IEEE.</text>
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                <text>Adhegaonkar V.R.; Thakur A.R.; Varghese N.; Cheriyan A.</text>
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                <text>TQCEBT 2024 - 2nd IEEE International Conference on Trends in Quantum Computing and Emerging Business Technologies 2024</text>
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                <text>&lt;a href="https://doi.org/10.1109/TQCEBT59414.2024.10545140" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/TQCEBT59414.2024.10545140&lt;/a&gt;
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                <text>ISBN: 979-835038427-7</text>
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                <text>Adhegaonkar V.R., Christ University, Dept of Business Management, Bengaluru, India; Thakur A.R., Sri Balaji University, Dept of Business Management, Pune, India; Varghese N., Christ University, Dept of Business Management, Bengaluru, India; Cheriyan A., Christ University, Dept of Business Management, Bengaluru, India</text>
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                  <text>MPHIL</text>
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                <text>Customer Perception and Receptivity to Loyalty Programs offered by Organised Retailers</text>
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                <text> G.K Roll  Krithika</text>
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                <text> The Indian Retail Industry is growing at a fast pace. This growth to a large extent is driven by the organised retail market, with more and larger retail organisations investing heavily in increasing their store networks and improving in-store offerings. Apparel, accessories and related merchandise form a considerable chunk of the organised retail space and is in the ambit of a handful of established players vying to capture &amp;amp; increase larger portions of the available market using new strategies. Increased customer satisfaction and service is one of the means through which they will be able to fulfill their goals. The use and implementation of Customer Relation Management tools like Loyalty Programs is one of the ways in which they can achieve customer satisfaction.

 According to Sharp and Sharp (1997) loyalty programs are structured marketing efforts, which reward and encourage the loyal behaviour of their members. Capizzi et al (2004) defined it as the business process of identifying, maintaining and increasing the yield from best customers through interactive,value-added relationships.Loyalty programs are thereby are a rhetoric of relationship marketing in gaining customer loyalty.(Minami &amp;amp; Dawson ,2008) . Loyalty programs, however serve dual purposes of the organisation ?? acquisition of customer spending related information and ensuring that they patronise their store. According to Peters (1988) the costs of retaining customers are about 80 percent lower than acquiring new customers. This explains why there is a high degree of proliferation of retailer loyalty programs.

Loyalty Programs today have become an inseparable part of the Customer Relationship Management (CRM) strategy of todays retailers. It is vital to gauge how successful these programs are as CRM tools. This study is concerned with how customers perceive such programs and how receptive they are towards these programs.

 The sample size consisted of 168 usable samples of member customers of loyalty programs of four competing departmental stores who were members of the stores. The study was confined to the city of Bangalore. Convenience sampling was used for the purpose of data collection. Data was collected through questionnaires and was subjected to descriptive analysis and inferential analysis. The reliability of the perceptual scale was found to be 0.766.



The major findings of the research are:



? Lifestyle is the most frequented store and Shoppers Stop has the most attractive loyalty program.

? Customers have more important reasons for preference of a store than holding membership to the stores loyalty program

? Customers  perceive  that  a  loyalty  program  membership  makes  them  enjoy monetary benefits. Offers and discounts followed by redeemable points are the most popular form of monetary benefits.

? Customers seek ??real and value creating benefits from loyalty programs

? There  is  a  significant  relationship  between  customer  perception  of  loyalty program benefits and purchase behaviour.

? There  is  a  significant  relationship  between  customer  perception  of  loyalty program benefits and store attractiveness and loyalty.



The study will help retail organisations understand their customers better and help them in  designing  and  implementing  more  satisfying,  value  creating  and  differentiated programs as a CRM tool to retain customers and build loyalty.</text>
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                <text>Customer perspective on a curated gift-box service: A study in Sikkim, India</text>
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                <text>Perspectives on the Transition Toward Green and Climate Neutral Economies in Asia, pp. 304-322.</text>
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                <text>The idea of planned behavior was developed in 1980 as a philosophy of deliberate action to interpret human behavior. The primary element of this theory is an individuals purpose, which is impacted by the attitude of expecting that the behavior will result in the desired result. This theory has helped in determining certain characteristics of an individual that includes smoking, drinking, services, and so on. The theory states that the behaviors are achieved through motivation and control. These characteristics developed are completely voluntary which can sometimes help in the betterment and improvement in any field. The name of the theory itself gives us a clarity that it is a well-planned formation of behaviors different from his or her normative and preconceived beliefs and norms.  2024 Sachi Nandan Mohanty, Preethi Nanjundan and Tejaswini Kar.</text>
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                <text>Jacob J., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Saji J., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Antony A.C., Christ College, Vadgaon Sheri, Off Pune Nagar Road, Maharashtra, Pune, India</text>
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