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                <text>Krishna A.V.N., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India; Mary Anita E.A., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India; Kumar S., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India</text>
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                <text>In this work, a cubic spline curve is considered for Asymmetric mode encrypting data. A Cubicspline curve is used to generate a set of points under initial known boundary conditions. This set of points is considered as generator points. Given the field, known the generator points, considering for some time and space steps and for a considered private key, Public key will be generated based on Discrete Logarithm problem. Thus for a set of public and private keys, data can be transmitted securely with features like Authenticity of users, Security &amp;amp; Confidentiality of data transmitted. Going by the construction of the algorithm, Encryption is being done on blocks of data for which it consumes less computing resources. Going by complexity of the algorithm, the key length needed is about 120 bit lengths to provide sufficient strengths against cryptoanalysis.  2017 Taru Publications.</text>
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                <text>Journal of Discrete Mathematical Sciences and Cryptography, Vol-20, No. 2, pp. 453-461.</text>
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                <text>Krishna A.V.N., Computer Science &amp;amp; Engineering Department, Faculty of Engineering, Christ University, Bangalore, 560029, Karnataka, India; Narayana A.H., Electrical Engineering, Indian Institute of Technology, Indore, 453552, Madhya Pradesh, India</text>
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                <text>Basins; Crypto Analysis; Digital Signature Standard; Matrix Key</text>
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                <text>In this work, a novel mechanism is considered for Asymmetric mode encrypting data. A generator matrix is used to generate a field with a large prime number. The generator matrix, prime number and ternary vector are used as global variables. Those global variables are used to calculate public key and sub keys. Using the Global Variables and Private key, a Digital signature algorithm is proposed which supports the feature like Authenticity of users. The mechanism can also be used in Homomorphic Encryption where computations to be carried out on cipher text and generate an encrypted result which, when decrypted, matches the result of operations performed on the plaintext.  2017 Taru Publications.</text>
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                <text>Journal of Discrete Mathematical Sciences and Cryptography, Vol-20, No. 2, pp. 439-444.</text>
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                <text>Krishna A.V.N., Computer Science &amp;amp; Engineering Department, Faculty of Engineering, Christ University, Bangalore, 560029, Karnataka, India; Narayana A.H., Electrical Engineering, Indian Institute of Technology, Indore, 453552, Madhya Pradesh, India; Madhura Vani K., Computer Science &amp;amp; Engineering, Sreyas Institute of Engineering &amp;amp; Technology, Hyderabad, 500068, Telangana, India</text>
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                <text>A novel approach with matrix based public key crypto systems</text>
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                <text>Complexity; Discrete Logarithm Problem; Matrix Key; Security Analysis</text>
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                <text>Here in this model, a new mechanism is used for Public Key Cryptography. A generator matrix is used to generate a field with a large prime number. The generator matrix, prime number and quaternary vector are used as global variables. The Generator Matrix is powered by a private key to generate Public Key. Since the model is based on Discrete Logarithm Problem, which is Hard problem, the proposed algorithm supports the features like Authenticity of users, Security &amp;amp; Confidentiality of data transmitted. Going by the construction of the algorithm, Encryption is being done on blocks of data for which it consumes less computing resources. Going by complexity of the algorithm, the key length needed is about 72 bit lengths to provide sufficient strengths against crypto analysis.  2017 Taru Publications.</text>
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                <text>Krishna A.V.N.; Narayana A.H.; Madhura Vani K.</text>
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                <text>Journal of Discrete Mathematical Sciences and Cryptography, Vol-20, No. 2, pp. 407-412.</text>
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                <text>&lt;a href="https://doi.org/10.1080/09720529.2015.1085738" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/09720529.2015.1085738&lt;/a&gt;
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                <text>Krishna A.V.N., Computer Science &amp;amp; Engineering Department, Faculty of Engineering, Christ University, Bangalore, 560029, Karnataka, India; Narayana A.H., Electrical Engineering, Indian Institute of Technology, Indore, 453552, Madhya Pradesh, India; Madhura Vani K., Computer Science &amp;amp; Engineering, Sreyas Institute of Engineering &amp;amp; Technology, Hyderabad, 500068, Telangana, India</text>
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                <text>In the banking sector, the major challenge will be retaining customers. Different banks will be offering various schemes to attract new customers and retain existing customers. The details about the customers will be provided by various features like account number, credit score, balance, credit card usage, salary deposited, and so on. Thus, in this work an attempt is made to identify the churning rate of the possible customers leaving the organization by using genetic algorithm. The outcome of the work may be used by the banks to take measures to reduce churning rates of the possible customers in leaving the respective bank. Modern cyber security attacks have surely played with the effects of the users. Cryptography is one such technique to create certainty, authentication, integrity, availability, confidentiality, and identification of user data can be maintained and security and privacy of data can be provided to the user. The detailed study on identity-based encryption removes the need for certificates.  2020 by IGI Global. All rights reserved.</text>
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                <text>Krishna A.V.N.; Pandey S.; Sarda R.</text>
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                <text>Handbook of Research on Intelligent Data Processing and Information Security Systems, pp. 199-226.</text>
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                <text>Krishna A.V.N., Christ University, India; Pandey S., Christ University, India; Sarda R., Christ University, India</text>
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                <text>Contributions to Finance and Accounting;Volume;Part F2026;pp.55-82</text>
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                <text>Krishna E S A., Department of Global Finance &amp;amp; Analytics, Christ University, Pune, India; Varghese James B., Department of Commerce, Christ University, Pune, India</text>
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                <text>In the digital age, financial crime has increased in magnitude and complexity because of high-velocity digital payments, cross-platform financial systems, and due to new forms of threat, like deepfakes and synthetic identities. Due to the increasing failure of the conventional, more rules-based methods of fraud control to detect these more sophisticated behaviours, there has arisen the need to adopt more sophisticated, technology-driven prevention methods. This paper discusses how financial-crime detection and AML/CFT processes are changing with the use of innovative tools, namely AI and machine learning analytics, privacy-preserving federated models, blockchain-based identity mechanism, and real-time digital-payment intelligence. The chapter methodologically follows the comparative case-based approach to analysis synthesising the evidence presented in regulatory publications, industry reports, and documented cases of technological deployments to define general trends, advantages, and shortcomings. The results indicate that technology-enabled systems are much more effective in detecting fraud, presenting few false positives, enhancing identity assurance, and sharing across institution intelligence at a faster rate as compared to traditional systems. This paper concludes that responsible AI architecture, real-time data network integration, and regulatory cooperation are essential to establishing resilient, future-ready models that will be able to defend financial ecosystems against the changing threats of the digital era.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.</text>
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                <text>Anti-money laundering (AML); Artificial intelligence (AI); Counter-terrorist financing (CFT); Digital fraud; Financial crime detection; Machine learning analytics</text>
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                <text>ISSN: 27306038;</text>
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                <text>Research challenges in self-driving vehicle by using internet of things (IoT)</text>
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                <text>Artificial intelligence; Energy efficient; Machine learning; Microcontroller; Nae bayes; Solar panel</text>
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                <text>This article summarizes the benefits, safety hazards, and limitations of owning a self-driving vehicle. Finding a way to use an SDV(Self Driving Vehicle) is minimizing the risk for an accident is important for public and road safety. The actual rate of accidents for self-driving vehicles are lower than that for regular vehicles since the total number of miles of self-driving vehicles combined is nowhere close to that of regular fossil-fueled vehicles. Even though there is no proof that self-driving vehicles will not cause accidents, it is important to know that self-driving vehicles weren't the cause in all the cases they have been involved. That is, it will not be purely considered as the machine's mistake. The safety level of self-driving vehicles has been proven to be one of the best and that has led to the number of serious accident-related wounds in self-driving vehicles to remain lower than the standard level. Nevertheless, Internet of Things plays a major role in developing the self-driving vehicle concept.   2021 IEEE.</text>
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                <text>Krishna K.; Karumuri N.; Christopher C.; Jayapandian N.</text>
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                <text>Proceedings - 5th International Conference on Intelligent Computing and Control Systems, ICICCS 2021, pp. 423-427.</text>
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              <elementText elementTextId="182426">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 978-166541272-8</text>
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                <text>Krishna K., Christ University, Department of CSE, Bangalore, India; Karumuri N., Christ University, Department of CSE, Bangalore, India; Christopher C., Christ University, Department of CSE, Bangalore, India; Jayapandian N., Christ University, Department of CSE, India</text>
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                <text>Comparison of cultivated Cordyceps militaris and wild Ophiocordyceps sinensis using high-performance thin-layer chromatography</text>
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          <element elementId="49">
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                <text>Adenosine; Cordycepin; Cordyceps militaris; High-performance thin-layer chromatography; Ophiocordyceps sinensis</text>
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                <text>Cordyceps, a fungus from the Clavicipitaceae family, has long been utilised in traditional Chinese medicine as a rare and prized mushroom. Among 750 known species, two noteworthy species within the genus are Ophiocordyceps sinensis and Cordyceps militaris. Among the active components generated by this genus, cordycepin and adenosine are particularly significant and exhibit various pharmacological properties. To evaluate and compare the concentrations of cordycepin and adenosine, high-performance thin-layer chromatography profiling was employed on lab-grown C. militaris and wild O. sinensis. Water and ethanol were utilised to extract the nucleosides. The concentrations of these nucleosides from different samples were calculated by using Rf (Retention factor) values of both cordycepin and adenosine standards. Interestingly, the fruiting bodies of C. militaris obtained through solid-state fermentation exhibited a higher cordycepin content (12.3 mg/g) compared to biomass obtained via liquid static culture. In the case of O. sinensis, cordycepin was found to be absent, with only adenosine (approximately 0.81 mg/g) being quantified.  2024 World Researchers Associations. All rights reserved.</text>
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                <text>Krishna K.V.; Alok M.</text>
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              <elementText elementTextId="74204">
                <text>Research Journal of Biotechnology, Vol-19, No. 12, pp. 163-170.</text>
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                <text>&lt;a href="https://doi.org/10.25303/1912rjbt1630170" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.25303/1912rjbt1630170&lt;/a&gt;
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                <text>ISSN: 22784535</text>
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                <text>Krishna K.V., Applied and Industrial Biotechnology Laboratory, Christ University, Hosur Road, Karnataka, Bangalore, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, South Korea; Park S., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, South Korea; Bhattacharya S., Applied and Industrial Biotechnology Laboratory, Christ University, Hosur Road, Karnataka, Bangalore, India; Kadanthottu Sebastian J., Department of Life Sciences, Christ University, Bangalore, India; Liu W.-C., Department of Animal Science, College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, China; Pappuswamy M., Department of Life Sciences, Christ University, Bangalore, India; Meyyazhagan A., Department of Life Sciences, Christ University, Bangalore, India; Kamyab H., Department of Biomaterials, Saveetha Dental College, and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600077, India, Faculty of Social Sciences, Media and Communication, University of Religions and Denominations, Qom, Pardisan, Iran; Chelliapan S., Department of Smart Engineering and Advanced Technology, Faculty of Artificial Intelligence, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur, 54100, Malaysia; Malaviya A., Applied and Industrial Biotechnology Laboratory, Christ University, Hosur Road, Karnataka, Bangalore, India, QuaLife Biotech Pvt. Ltd, Bangalore, India</text>
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                <text>The primary, bioactive component of Cordyceps militaris, known as cordycepin (3'-deoxyadenosine), has been utilized extensively as a traditional medicinal ingredient and a nutritious diet in Asian nations. To determine the amount of cordycepin in the C. militaris, high-performance liquid chromatography (HPLC) is shown to be an effective, sensitive, and straightforward analytical technique. Other methods for estimating cordycepin include near infrared spectroscopy and capillary electrophoresismass spectrometry. The UV-Vis spectroscopy approach was used to quantify cordycepin, and the results were statistically confirmed and compared with an HPLC method. For linearity, repeatability, precision, reproducibility, limit of detection and limit of quantification, the method was verified. The established approach can be utilized for routine, quality control analysis of cordycepin, as it is easy to use, sensitive, accurate, precise, repeatable, and most importantly, cost-effective.  Springer Science+Business Media, LLC, part of Springer Nature 2024.</text>
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                <text>Probiotics are described as live microbes that, once consumed in sufficient quantities, provide a health advantage to the host. A rising number of research works have verified the health benefits of probiotics. Enterococci are common bacteria that may be found almost anywhere. For their opportunistic pathogenicity, Enterococci have been associated with numerous nosocomial infections resulting from resistance to antibiotics and the existence of other virulence factors, notably the development of vancomycin-resistant Enterococci. However, some Enterococcal strains such as E. faecium and E. faecalis strains are being utilized as probiotics and are widely marketed, usually in the form of pharmaceutical solutions. Enterococcus spp. based probiotics are used to treat irritable bowel syndrome, infectious diarrhea, and antibiotic-associated diarrhea, along with decreasing cholesterol levels and enhancing host immunity. To be used as probiotics in the future, Enterococcal strains must be properly defined and thoroughly evaluated in terms of safety and can be beneficial. Here, in this work, we have reviewed various aspects of Enterococcus spp. pertaining to its possibility of being utilized as a probiotic strain.  2023 Krishna, et al.</text>
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                <text>Krishna K.V., Applied and Industrial Biotechnology Laboratory (AIBL), Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, India; Koujalagi K., Applied and Industrial Biotechnology Laboratory (AIBL), Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, India; Surya R.U., Applied and Industrial Biotechnology Laboratory (AIBL), Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, India; Namratha M.P., Applied and Industrial Biotechnology Laboratory (AIBL), Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, India; Malaviya A., Applied and Industrial Biotechnology Laboratory (AIBL), Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, India</text>
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                <text>The human gastrointestinal tract consists of nearly 100 trillion microorganisms, referred as gut microbiota or gut microbiome. The microbial colonization in the human gut begins at the time of birth and its colonization increases with age which is influenced by factors like age, diet, and antibiotic treatment. Gut microbiota is believed to play a major role in human health as well as various physiological activities like metabolism, nutrition, physiology, etc. Imbalance of the normal gut microbiota has been linked with gastrointestinal conditions such as inflammatory bowel disease (IBD), irritable bowel syndrome (IBS) as well as wider systemic manifestations of disease such as obesity, type 2 diabetes, and atopy. Gutbrain axis, a two-way (bi-directional) connection and communication between the gut and the brain has potentially huge influence over our health which integrates neural, hormonal, and immunological signaling between the gut and the brain. There is growing evidence on the influence of gastrointestinal (GI) microbiota that modulates appetite, feeding, and metabolism as well as regulates the mechanisms of digestion. Gut hormones like Ghrelin, Cholecystokinin (CCK), Pancreatic Polypeptide (PP), Peptide YY (PYY), Glucagon-Like Peptide 1 (GLP-1), Oxyntomodulin (OXM), Glucagon, Gastric Inhibitory Polypeptide (GIP), and Amylin have been identified in the gastrointestinal system which have a fundamental role in coordinating digestive process within the gastrointestinal system, thus regulating feeding behavior and energy balance. Studies have indicated that the modulation in gut microbiota regulates the production of ghrelin and PYY in overweight and obese patients and helps in promoting weight loss and improves glucose regulation. Considering the importance of the role of gut microbiota on hunger and satiety, this chapter was written where we have discussed the gutbrain axis and its role in hunger and satiety. Further, mechanism of appetite regulation by gut microbiota and their role in obesity control have also been discussed. Finally, future perspectives on application of gut microbiota as potential probiotic solutions for obesity and related metabolic disorders will be discussed.  Springer Nature Singapore Pte Ltd. 2022.</text>
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                <text>Probiotic Research in Therapeutics: Volume 5: Metabolic Diseases and Gut Bacteria, Vol-5, pp. 1-27.</text>
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                <text>Krishna K.V., Applied and Industrial Biotechnology Laboratory (AIBL), Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Malviya S., National Centre for Biological Sciences (NCBS), TATA Institute of Fundamental Research, GKVK Campus, Bengaluru, India; Bhattacharyya D., Applied and Industrial Biotechnology Laboratory (AIBL), Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India; Malaviya A., Applied and Industrial Biotechnology Laboratory (AIBL), Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>Bioactive compounds; C. militaris; Cordycepin; Cordyceps sinesis; Himalayan viagra; Keeda Jadi</text>
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                <text>The Clavicipitaceae familys largest and most diverse genus is Cordyceps. They are most abundant and diverse in humid temperate and tropical forests and have a wide distribution in: Europe, North America, and East and Southeast Asian countries, particularly: Bhutan, China, Japan, Nepal, Korea, Thailand, Vietnam, Tibet, and the Himalayan region of India, and Sikkim. It is a well-known parasitic fungus that feeds on insects and other arthropods belonging to 10 different orders. Over 200 bioactive metabolites, that include: nucleotides and nucleosides, polysaccharides, proteins, polypeptides, amino acids, sterols, and fatty acids, among others have been extracted from Cordyceps spp. demonstrating the phytochemical richness of this genus. These components have been associated with a variety of pharmacological effects, including: anti-microbial, anti-apoptotic, anti-cancer, anti-inflammatory, antioxidant, and immunomodulatory activities. In this paper, the bioactivity of various classes of metabolites produced by Cordyceps spp., and their therapeutic properties have been reviewed in an attempt to update the existing literature. Furthermore, one of its nucleoside and a key bioactive compound, cordycepin has been critically elaborated with regard to its biosynthesis pathway and the recently proposed protector-protmechanism as well as various biological and pharmacological effects, such as: suppression of purine and nucleic acid biosynthesis, induction of apoptosis, and cell cycle regulation with their mechanism of action. This review provides current knowledge on the bioactive potential of Cordyceps spp.  2023 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>Krishna K.V.; Ulhas R.S.; Malaviya A.</text>
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                <text>Critical Reviews in Biotechnology, Vol-44, No. 5, pp. 753-773.</text>
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                <text>Krishna K.V., Applied and Industrial Biotechnology Laboratory, Christ (Deemed-to-be University), Karnataka, Bangalore, India; Ulhas R.S., Institute of Biochemistry and Biophysics, Faculty of Life Sciences, University of Jena (Friedrich-Schiller-Universit Jena), Jena, Germany; Malaviya A., Applied and Industrial Biotechnology Laboratory, Christ (Deemed-to-be University), Karnataka, Bangalore, India, Division of Life Sciences, Gyeongsang National University, Gyeongsangnam-do, South Korea, QuaLife Biotech Pvt Ltd, Bangalore, India</text>
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                <text>The Indian manufacturing sector has a long way to go in enhancing work-life standards for employees. Low standards of work-life hamper the productivity of an organization. Most employees of garment manufacturing units in Bengaluru are from outer rural areas. They come in search of employment in garment units. Though there are labour acts and labour laws, most of the manufacturing units provide poor job environments for employees. This leads to fluctuations in the performance of employees and would have detrimental effects on their health and performance, resulting in attrition. Quality of work life is the solution. This paper aims at unravelling factors leading to recognition of work-life standards so those garment units can work in that dimension to solve their productivity issues and also improve the happiness of their employees. A descriptive approach was made to attain objectives with survey-based data collection. The collected data were subjected to exploratory factor analysis and multiple regression analysis. The study found welfare and safety lead to a quality of work-life in garment units. More cross-sectoral studies are suggested to understand the blend of factors defining the quality of work life and arrive at a generalized model nation-wide. This generalization in the long term should be a key decision-making point for safety and welfare policy development in the world.  2022 The authors.</text>
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                <text>Thailand and the World Economy, Vol-40, No. 3, pp. 109-128.</text>
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                <text>Krishna Kishore S.V., School of Business and Management, CHRIST University, India; Banerjee J., Amity Business School, Amity University, India; Kiran P., School of Business, Management and Economics, Westminster International University, Uzbekistan; Moorthy V., School of Business and Management, CHRIST University, India</text>
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                <text>Moderation of Income and Age on Customer Purchase Intention of Green Cosmetics in Bangalore</text>
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                <text>Age; Consumer innovativeness; Cosmetics; Green; Health consciousness; Income; Intention; Purchase</text>
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                <text>Cracking the code of customer purchase behaviour is a challenge for market researchers as myriad factors interfere. Marketers are puzzled as competitors position a new product category in the market to create demand. Indian public perceived cosmetics composition as blend of healthy chemical extracts. Television commercials portrayed the presence of chemicals in cosmetics as a product performance booster. People attributed chemical presence to superior product performance. Saturated markets witnessed competitors aiming at increased sales with similar commercials. Under pressure to differentiate, the idea of organic cosmetics started. Companies invested heavily on product development, marketing and branding. Expected success was not achieved as buyers measured performance of cosmetics weighing the absence of chemicals. Scepticism on organic level of the products emerged as various brand commercials claimed their respective compositions a true organic product. Fewer studies explained purchase intention of green cosmetics without focus on health consciousness and consumer innovativeness. Product diffusions were strategized on the basis of consumer innovativeness. Health consciousness captured individuals weightage on health and well-being while purchasing a product. This paper explores relationship of health consciousness and consumer innovativeness with purchase intention development conducting exploratory factor analysis, regression analysis and interaction analysis on selected independent variables using dependent variables. The study found both consumer innovativeness and health consciousness leading to development of purchase intention of green cosmetics. Age and income moderated the relationship of consumer innovativeness and purchase intention.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Krishna Kishore S.V., School of Business and Management, Christ University, Bangalore, 560074, India; Kiran P., Westminster International University, Tashkent, Uzbekistan; Banerjee J., School of Business and Management, Christ University, Bangalore, 560074, India; Vasudevan M., School of Business and Management, Christ University, Bangalore, 560074, India</text>
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                <text>This study investigated the relationship between business performance in emerging markets (BICS countries) and ESG disclosure scores. Overall, it did not find any correlation between different performance indicators and ESG scores. It's interesting to see that higher overall ESG scores were linked to greater share prices and earnings per share (EPS). This implies that businesses with robust ESG policies may ultimately perform better than others. The study emphasises how ESG may help create value and support sustainable corporate success in emerging markets. It highlights how crucial ESG is to investors, companies, and legislators.   2024 IEEE.</text>
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                <text>Krishna M.C., Christ University, School of Business and Management, Bangalore, India; Mathew J., Christ University, School of Business and Management, Bangalore, India; Manu K.S., Christ University, School of Business and Management, Bangalore, India</text>
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