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                <text>TenzinNet for handwritten Tibetan numeral recognition</text>
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                <text>Character recognition; Convolutional neural network (CNN); Handwritten digit recognition; Handwritten Tibetan numeral; Machine learning</text>
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                <text>Tibet is known for its enumerable collection of Nalanda based Buddhism manuscripts that need to be digitized for immortalization of the teachings of Buddha and various Buddhist scholars. Handwritten Tibetan numeral recognition is relatively unexplored as compared to Roman and Chinese numerals. Recognition of handwritten documents for digitalization has been under study from past many years. This work proposes a novel model using convolutional neural networks architecture named as TenzinNet to recognize handwritten Tibetan numerals. TenzinNet achieved an accuracy of 90.76% in recognizing Tibetan numerals using the proposed model.  2021, Bharati Vidyapeeth's Institute of Computer Applications and Management.</text>
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                <text>Kaldan T.; Vijayalakshmi A.</text>
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                <text>International Journal of Information Technology (Singapore), Vol-13, No. 4, pp. 1679-1682.</text>
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                <text>ISSN: 25112104</text>
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                <text>Kaldan T., Christ University, Bengaluru, India; Vijayalakshmi A., Christ University, Bengaluru, India</text>
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                <text>Kale, Vaishnaw Gorakhnath; Kshirsagar, Pravin Ramdas; Unhelkar, Bhuvan; Chakrabarti, Prasun; Upreti, Kamal; Jain, Rituraj</text>
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                <text>A Comprehensive Review of Advanced Analytics for Predicting HRQoL in Cancer Survivors Using a Synergistic Approach</text>
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                <text>2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025;pp.1345-1350</text>
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                <text>Kale V.G., School of Computer Science Engineering and Applications, D. Y. Patil International University, MS, Pune, India; Kshirsagar P.R., J.D College of Engg &amp;amp; Mgmt., Department of Electronics Engineering, MS, Nagpur, India; Unhelkar B., Muma College of Business, University of South Florida, (Sarasota-Manatee Campus), United States; Chakrabarti P., Sir Padampat Singhania University, Department of Computer Science &amp;amp; Engineering, Rajasthan, Udaipur, India; Upreti K., Christ University, Department of Computer Science, Delhi NCR, Ghaziabad, India; Jain R., Marwadi University, Department of Information Technology, Gujarat, Rajkot, India</text>
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                <text>This systematic review explores the role applied and emerging methods including AI, Explainable AI and Quantum machine learning techniques in the prediction of Health-Related Quality of Life (HRQoL) of cancer survivors. It also gives possible benefits and limitation of using the advanced analytics to predict the HRQoL. In all, 141 research papers implemented in the last fifteen years with focus between the years 2008 to 2023 are analyzed. For the convenience, this literature review is divided into four primary categories - (i) Artificial intelligence, (ii) Explainable artificial intelligence, (iii) Quantum machine learning, and (iv) Synergistic integration. The third way the present systematic review paper differs from other papers in the domain is that the paper offers a direction of future research. Furthermore, the hypothetical illustration is provided in order to compare outcomes of the synergistic approach with the existing data. Consequently, this analysis provides beneficial insights for further research and development of the synergistic approach in both research and clinical practice. The assessment shows that there is a continued need for research focusing on improving the quality of life of those that survived cancer.  2025 IEEE.</text>
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                <text>Artificial Intelligence; Cancer Survivorship; Explainable AI; Quantum Machine Learning</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Kalebar, Rajiv U; Swetha, N.; Divya, U.; Verma, Amit</text>
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                <text>The Executive Copilot: Investigating the Impact of Generative AI Assistants on Strategic Decision-Making, Leadership Efficiency, and Managerial Creativity</text>
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                <text>Proceedings - 2025 IEEE DELCON: International Conference on Recent Smart Technologies in Engineering for Sustainable Development;</text>
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                <text>Kalebar R.U., Christ University, School Of Business And Management, Department Of SBM- Mba, Bengaluru, India; Swetha N., Alliance University, Alliance Ascent College, Department Of General Management, Bengaluru, India; Divya U., Alliance School Of Business, Alliance University, Alliance Ascent College, Bengaluru, India; Verma A., Kalicharan Pg College, Department Of Commerce, Lucknow, India</text>
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                <text>The generative artificial intelligence (AI) revolution has given rise to a class of technology - executive copilots that are designed to unclog the brains of overworked managers in the 21st century. This paper examines the effects of generative AI assistants on three intertwined facets of executive performance - strategic decision making, leadership effectiveness, and managerial creativity. Early literature suggests that AI systems could automate administrative tasks and offer data-driven insights; however, we still lack an understanding of their comprehensive impact on executive tasks and outcomes. To bridge this gap, the study uses a multimethod research design, drawing on survey data from 350 senior executives from various firms, controlled experimental studies of strategic problem solving, and in-depth case analysis of firms in finance, consulting, and technology sectors. Results suggest that AI copilots contribute significantly to faster decision-making and creative output by helping to synthesize information and sparking divergent thinking rapidly. Consistent with this, results reveal that a potential 'caveat' of overreliance on AI-generated recommendations might lead to less scrutiny and thus the fragility of the high-stakes decision-making in practice. Theoretically, the study extends the leadership augmentation theory to the context of generative AI. It extends the conceptualization of the executive copilot in terms of a complementary agent that adjusts the boundary of human-machine collaboration. Pragmatically, it has implications for executive education, corporate governance, and the design of responsible AI uptake strategies. Through methodical analysis of opportunities and risks, this study offers a nuanced view of how executive copilots change leadership practice in the era of intelligent augmentation.  2025 IEEE.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Mergers and acquisitions in India Information Technology Industry and its impact on shareholders wealth</text>
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                <text>International Journal of Research in Commerce, IT &amp; Management Vol. 2, Issue 4, pp. 118-121 ISSN No. 2231-5756</text>
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                <text>The field of two-dimensional (2D) materials has witnessed remarkable growth over the years, especially on a class of materials known as MXenes. MXenes have garnered significant attention for their exceptional physicochemical properties, which include high electrical and thermal conductivity, large surface area, adjustable bandgap, and hydrophilicity. These characteristics have paved the way for a diverse range of applications, including photocatalysis, electrocatalysis, supercapacitors, sensing, and biomedicine. MXenes have been recognized to be particularly effective in applications such as photocatalytic hydrogen production through water splitting reactions. This involves using MXenes as cocatalysts to enhance the efficiency of the photocatalytic process. In this review, the various synthetic methods for producing MXenes and MXenes-based catalysts are summarized, shedding light on the versatility of their fabrication techniques. The underlying mechanisms of photocatalytic H2 evolution are explored, providing insights into how MXenes function as cocatalysts in these reactions. These mechanisms are crucial for understanding the enhancement of H2 production and improving the overall efficiency of the water splitting process. Furthermore, the review delves into the challenges that researchers face when utilizing MXenes and MXene-based materials for electrocatalytic water splitting. These challenges serve as motivation for further exploration and innovation in the field, driving the development of more efficient and sustainable electrocatalytic systems. In this discussion, the potential future applications of MXenes and their composites in electrocatalytic water splitting and other fields are explored. This suggests that ongoing research and advancements in MXene-based materials have the potential to revolutionize various technological areas, contributing to the development of cleaner energy sources and more efficient catalytic processes.  2024 Elsevier Ltd</text>
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                <text>Kali S.R., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; V M., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; R M., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Sunaja Devi K.R., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India; Pinheiro D., Department of Chemistry, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bangalore, 560029, India</text>
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                <text>Kalia K., School of Psychological Sciences, Christ University, Bangalore, India; Rajan S.K., School of Psychological Sciences, Christ University, Bangalore, India</text>
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                <text>The present study examined the role of grit and decision-making styles in predicting nomophobia among young adults, considering gender and educational differences. The study also tested whether decision-making styles moderated the association between grit and nomophobia. Using a cross-sectional ex-post facto correlational design, data were collected using purposive sampling technique from 323 young adults (aged 1725) through online platforms. Participants completed the Three-Dimensional Grit Scale, the Maximizing Inventory, and the Nomophobia Questionnaire. Chi-square test showed that there was an association between gender and education. Mann-Whitney U test showed that men were higher in grit than women. Men and women did not differ in nomophobia or decision-making styles. Kruskal-Wallis ANOVA showed that grit, nomophobia, or decision-making styles did not differ concerning education. Spearmans correlation analysis showed that grit had a moderate positive correlation with satisficing. Nomophobia had a weak negative correlation with grit and a moderate positive correlation with Maximizing. Regression analysis showed grit as a negative predictor and Maximizing a positive predictor of nomophobia. Moderation analysis indicated that Maximizing style weakened the protective effect of grit on nomophobia, accounting for a small but significant variance in outcomes. The study highlights the interactive role of grit and decision-making styles in understanding nomophobia. Findings suggest that grit alone is insufficient as a protective factor against nomophobia. Its effectiveness depends on decision-making styles, with Maximizing acting as a risk enhancer.  2026 Taylor &amp;amp; Francis Group, LLC.</text>
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                <text>Restricted Access; Hardcopy may be available in the library</text>
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                <text>Antimicrobial agents; Detection methods; Microbial pathogens; Nanomaterials</text>
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                <text>Nanotechnology provides the ability to manipulate the properties of materials by using their size, and this has lead research towards a massive amount of plausible uses for nanomaterials. Irresistible maladies can occur, and they create an impressive burden on general wellbeing worldwide. The incident of these ailments is higher in developing nations. Irresistible maladies might be caused by microscopic organisms, infections, and protozoa, and the diseases they cause are often resistant to traditional treatment bringing about protracted contamination and higher mortality risk. In connection to that, the patients infected with these smaller scale creatures, that may prove resilient for an extended period of time, can be transmitters of these diseases to others. The recuperating of irresistible maladies is possible by metal-based nanoparticles that are plausible therapeutics for the treatment of irresistible ailments and their natural productivity. Metal-based nanoparticles that have been accounted for with antibacterial movement include silver, iron, iron oxide, copper oxide, zinc oxide, aluminum oxide, titanium dioxide, gold, and gallium nanoparticles. Present day improvements in nanotechnology enable us to handle this issue at two levels: diagnostics and treatment. Elimination of irresistible microorganisms requires effortless and exact recognition of the irresistible agents for suitable treatment. Various nanomaterials have been considered for the management of and cautious measures for irresistible ailments. Recently, nanomaterials have improved the treatment, diagnostics, and avoidance of irresistible illnesses. Built nanoparticles have been progressively utilized in irresistible infection management caused by microorganisms. Progress in nanoparticle-based frameworks involve a confident research region with basic ramifications for the recuperating of bacterial contaminations. Nanosystems have been shown to be beneficial, and different approaches dependent on nanoparticles have been expanded to see unambiguous agents. Various purpose-of-care (POC) tests have been anticipated that can propose results earlier, simpler, and at less expense than known strategies and can even be used in difficult to reach areas for viral determination. Quorum sensing is a boosts reaction substance formulation strategy interrelated with population density that microorganisms use to authorize biofilms development. Research is ongoing concerning the antimicrobial movement of nanoparticles, contrasting it by methods for and the motivation behind the natural extract of therapeutic plants, and concentrating on anti-toxin protections of pathogenic microscopic organisms.  2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.</text>
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                <text>Kalitha Parveen P.; Christobher S.; Balasubramanian B.; Kaliannan D.; Pappusamy M.; Meyyazhagan A.</text>
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                <text>Nanotechnology in the Life Sciences, pp. 237-260.</text>
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                <text>ISSN: 25238027</text>
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                <text>Kalitha Parveen P., PG Department of Zoology, Hajee Karutha Rowther Howdia College of Arts and Science, Tamil Nadu, Uthamapalayam, India; Christobher S., Department of Zoology, Nallamuthu Gounder Mahalingam College, Tamil Nadu, Pollachi, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Sciences, Sejong University, Seoul, South Korea; Kaliannan D., Zoonosis Research Center, Department of Infection Biology, School of Medicine, Wonkwang University, Iksan, South Korea; Pappusamy M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Meyyazhagan A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India</text>
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                <text>The Learning Organization for attaining inclusive growth: A new paradigm for the emerging educational market</text>
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                <text>This chapter aims to apply the concept of the learning organization for the higher educational institutions (HEIs) for attaining inclusive growth. For the theoretical underpinning, the concept of the professional learning community has been considered because there exists only a very thin difference with the learning organization concept. The researchers used a qualitative approach to analyze the literature resources to find the most promising variables associated with the learning organization and used Dedoose (qualitative software) to select the variables. It is found that variables such as knowledge management, inspired learning, team learning, and transcending organizational boundaries are the most important variables associated with a learning organization. The corporates which have implemented LO have been very successful and one of them is Royal Dutch Shell. The Indian Higher Educational Institutions are the backbone of the Indian economy. However, there is no yardstick to measure success. LO can be implemented to check the growth. This research work will serve as a base for motivating future researchers to make use of the LO concept for drafting educational policy for inclusive growth. If all HEIs are learning organizations, India will soon be a highly rich country. Indian HEI has not practised the concept of learning organization. Henceforth, the suggestions and recommendations will be a new yardstick, which can be used to measure the present status and to frame strategies to improvise and scale success.  2022 selection and editorial matter, Sudhir Rana and Avinash K Shrivastava.</text>
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                <text>Doing Business in Emerging Markets: Progress and Promises, pp. 54-78.</text>
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                <text>Kallarakal T.K., School of Commerce, Finance and Accountancy, Christ University, Bengaluru, India; Anand Shankar Raja M., Department of Commerce, Christ University, Bengaluru, India; Kulkarni M.S., Symbiosis Centre for Information Technology, Pune, Hinjewadi, India</text>
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                <text>Motivational Behaviour of Tourism Employees in Relation to Organisational Culture and Career Orientations  </text>
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                <text>The productivity and effectiveness of any organisation depends mainly on the performance level of the employees in the organisation. Human behaviour scientists over the years have conducted various studies and have concluded that, the performance of employees in any organisation depends largely on their motivational behaviour. Reviews of related literature confirm the role of various factors in the motivational behaviour of employees including organisational culture and career orientation of employees. The title of the present study is Motivational Behaviour of Tourism Employees in Relation to Organisational Culture and Career Orientations. The major objectives included ascertaining the relationship between motivational behaviour and organisational culture and career orientations of tourism employees and finding out whether differences in demographic variables would account for significant differences in motivational behaviour. The population of the study consisted of 323 employees of public sector, private sector and multinational companies working in travel agencies, tour operations, airlines and hotels and resorts in Bangalore. The sampling technique employed was judgment sampling. For the present study three tools namely: Motivational Analysis of Organisations- Behaviour (MAO-B) by Pareek (2003), Organisational Culture Survey by Pareek (2003) and Career orientations Inventory by Schein (1990) were used to collect data. The findings of the study show that while two aspects of organisational culture namely internal and future oriented influence the motivational behaviour of employees working in the private sector, no aspect of organisational culture has any influence on the motivational behaviour of employees working in the public sector. Further, only ambiguity tolerant aspect of organisational culture influence the motivational behaviour of employees working in multinational companies.</text>
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                <text>Kallarakal. Tomy K.</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/365045" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/365045&lt;/a&gt;</text>
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                <text>Phishfort - Anti-phishing framework</text>
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              <elementText elementTextId="133767">
                <text>Anti-phishing; Cyber security; Identity theft; Phishing; Social engineering</text>
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                <text>Phishing attack is one of the most common form of attack used to get unauthorized access to users' credentials or any other sensitive information. It is classified under social engineering attack, which means it is not a technical vulnerability. The attacker exploits the human nature to make mistake by fooling the user to think that a given web page is genuine and submitting confidential data into an embedded form, which is harvested by the attacker. A phishing page is often an exact replica of the legitimate page, the only noticeable difference is the URL. Normal users do not pay close attention to the URL every time, hence they are exploited by the attacker. This paper suggests a login framework which can be used independently or along with a browser extension which will act as a line of defense against such phishing attacks. The semi-automated login mechanism suggested in this paper eliminates the need for the user to be alert at all time, and it also provides a personalized login screen so that the user can to distinguish between a genuine and fake login page quite easily.  2018 Authors.</text>
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                <text>Kalloor E.A.; Mishra M.K.; Paulose J.</text>
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                <text>International Journal of Engineering and Technology(UAE), Vol-7, No. 3, pp. 42-46.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082374593&amp;amp;doi=10.14419%2Fijet.v7i3.4.14673&amp;amp;partnerID=40&amp;amp;md5=65688aa0f2d3603962cb604da2c8213e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85082374593&amp;amp;doi=10.14419%2fijet.v7i3.4.14673&amp;amp;partnerID=40&amp;amp;md5=65688aa0f2d3603962cb604da2c8213e&lt;/a&gt;</text>
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                <text>All Open Access; Bronze Open Access</text>
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                <text>ISSN: 2227524X</text>
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                <text>Kalloor E.A., Department of Computer Science, Christ University, Bengaluru, 560029, India; Mishra M.K., Department of Computer Science, Banaras Hindu University, Varanasi, 221005, India; Paulose J., Department of Computer Science, Christ University, Bengaluru, 560029, India</text>
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                <text>Extending schizophrenia diagnostic model to predict schizotypy in first-degree relatives</text>
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                <text>Recently, we developed a machine-learning algorithm EMPaSchiz that learns, from a training set of schizophrenia patients and healthy individuals, a model that predicts if a novel individual has schizophrenia, based on features extracted from his/her resting-state functional magnetic resonance imaging. In this study, we apply this learned model to first-degree relatives of schizophrenia patients, who were found to not have active psychosis or schizophrenia. We observe that the participants that this model classified as schizophrenia patients had significantly higher schizotypal personality scores than those who were not. Further, the EMPaSchiz probability score for schizophrenia status was significantly correlated with schizotypal personality score. This demonstrates the potential of machine-learned diagnostic models to predict state-independent vulnerability, even when symptoms do not meet the full criteria for clinical diagnosis.  2020, The Author(s).</text>
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                <text>Kalmady S.V.; Paul A.K.; Greiner R.; Agrawal R.; Amaresha A.C.; Shivakumar V.; Narayanaswamy J.C.; Greenshaw A.J.; Dursun S.M.; Venkatasubramanian G.</text>
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                <text>npj Schizophrenia, Vol-6, No. 1</text>
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                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                <text>Kalmady S.V., Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada, Canadian VIGOUR Centre, University of Alberta, Edmonton, AB, Canada; Paul A.K., Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada, Department of Computing Science, University of Alberta, Edmonton, AB, Canada; Greiner R., Alberta Machine Intelligence Institute, University of Alberta, Edmonton, AB, Canada, Department of Computing Science, University of Alberta, Edmonton, AB, Canada, Department of Psychiatry, University of Alberta, Edmonton, AB, Canada; Agrawal R., Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Amaresha A.C., Department of Sociology and Social Work, Christ- Deemed to be University Bangalore, Bangalore, India; Shivakumar V., Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, India, Department of Integrative Medicine, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Narayanaswamy J.C., Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bangalore, India, Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, India; Greenshaw A.J., Department of Psychiatry, University of Alberta, Edmonton, AB, Canada; Dursun S.M., Department of Psychiatry, University of Alberta, Edmonton, AB, Canada; Venkatasubramanian G., Translational Psychiatry Laboratory, Neurobiology Research Centre, National Institute of Mental Health and Neuro Sciences, Bangalore, India, Schizophrenia Clinic, Department of Psychiatry, National Institute of Mental Health and Neuro Sciences, Bangalore, India</text>
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                <text>Versatile material properties coupled with high degree of biocompatibility and biodegradability has made biopolymers as potential candidates for diverse applications in the biomedical field. Natural biopolymers derived from various plant, animal and microbial sources with different biochemical compositions are extensively used in biomaterial industry with or without further medication to their native form. Biopolymeric biomaterials have been employed in a wide range of biomedical applications like tissue engineering, drug delivery, bone regeneration, wound dressings and cardiovascular surgery. Carbohydrate based biopolymers and protein based biopolymers are extensively used for several applications in the biomedical field including cartilage regeneration, periodontal tissue regeneration, bone regeneration, corneal regeneration, drug delivery and wound healing. This review work presents a comprehensive outlook on the applications of various biopolymers in biomedical field. The work elaborates the biochemistry of these polymers with special focus on their crucial properties in the biomedical industry. Further a detailed description on the most recent application of various biopolymers in the biomedical filed is presented in this review. This work further summarizes the current challenges and future prospects in the use of biopolymers in biomedical field.  2024 The Author(s)</text>
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                <text>ISSN: 26668939</text>
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                <text>Kalpana Manivannan R., Institute of Biotechnology, Department of Bioengineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Sharma N., Department of Biochemistry, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Kumar V., Biomaterials and Tissue Engineering (BITE) Laboratory, Department of Community Medicine, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Jayaraj I., Department of Bioengineering, Institute of Biotechnology, Saveetha School of Engineering, SIMATS, Chennai, 602105, India; Vimal S., Department of Biochemistry, Saveetha Medical College and Hospital, Saveetha Institute of Medical and Technical Sciences (SIMATS), Thandalam, Chennai, 602105, India; Umesh M., Department of Life Sciences, Christ University, Karnataka, Bengaluru, 560029, India</text>
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                <text>Exploring the influence of KOH electrolyte concentration on the electrochemical properties of Co3O4-GO nanocomposite</text>
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              <elementText elementTextId="79390">
                <text>Co&lt;sub&gt;3&lt;/sub&gt;O&lt;sub&gt;4&lt;/sub&gt;-GO nanocomposite; KOH concentration; Pseudocapacitance; Sheet-like morphology</text>
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              <elementText elementTextId="79391">
                <text>In this study, we investigate the electrochemical performance of Co3O4-GO nanocomposite, synthesized via a hydrothermal method, as a function of electrolyte concentration. XRD, Raman, SEM, TEM, XPS, and BET techniques have been employed to examine the structural, microstructural, chemical states, and specific surface area characteristics of the composite material. According to SEM micrographs, the aggregated particles have a sheet-like morphology, and these sheets have been assembled into clusters. Using N2-adsorption/desorption isotherms, the pore volume, diameter, and specific surface area of composite were determined to be 0.24 cm3/g, 15 nm, and 63 m2/g, respectively. Based on cyclic voltammograms (CVs) recorded at different scan rates and electrolyte concentrations, the working electrode demonstrated pseudocapacitance behavior. The specific capacitance (Cs) of the fabricated electrode was estimated from GCD curves recorded at different current densities and electrolyte concentrations. For 1 M KOH solution, Cs of the composite electrode is found to be 258 F/g at 1 A/g, and this value drops to 222 F/g at 5 A/g. Furthermore the composite electrode's Cs decreases with increasing electrolyte concentration at a specific current density. The study indicates that 1 M of KOH electrolyte is the optimal electrolyte concentration for optimal energy storage.  2024 Elsevier Ltd</text>
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              <elementText elementTextId="79392">
                <text>Kalpana S.; Bhat V.S.; Hegde G.; Anantharamaiah P.N.</text>
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              <elementText elementTextId="79393">
                <text>Journal of Physics and Chemistry of Solids, Vol-190</text>
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              <elementText elementTextId="79394">
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                <text>&lt;a href="https://doi.org/10.1016/j.jpcs.2024.112019" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.jpcs.2024.112019&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188994292&amp;amp;doi=10.1016%2Fj.jpcs.2024.112019&amp;amp;partnerID=40&amp;amp;md5=98f911368bf24b67b54d6d6cddd17e6e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188994292&amp;amp;doi=10.1016%2fj.jpcs.2024.112019&amp;amp;partnerID=40&amp;amp;md5=98f911368bf24b67b54d6d6cddd17e6e&lt;/a&gt;</text>
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            <elementTextContainer>
              <elementText elementTextId="79397">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
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              <elementText elementTextId="79398">
                <text>ISSN: 223697; CODEN: JPCSA</text>
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              <elementText elementTextId="79402">
                <text>Kalpana S., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Bhat V.S., Centre for Nano-materials &amp;amp; Displays (CND), B. M. S. College of Engineering, Bull Temple Road, Bangalore, 560019, India; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Hosur RD, Bhavani Nagar, S. G. Palya, Bangalore, 560029, India; Anantharamaiah P.N., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India</text>
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          <element elementId="50">
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            <elementTextContainer>
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                <text>Electrochemical performance of ZnxCo3-xO4/N-doped rGO nanocomposites for energy storage application</text>
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              <elementText elementTextId="79945">
                <text>Co&lt;sub&gt;3&lt;/sub&gt;O&lt;sub&gt;4&lt;/sub&gt;; CV; GCD; Nanocomposites; rGO; ZnCo&lt;sub&gt;2&lt;/sub&gt;O&lt;sub&gt;4&lt;/sub&gt;</text>
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                <text>In this study, nanocomposites consisting of zinc-doped cobalt oxides with a spinel structure and nitrogen-doped reduced graphene oxide (ZnxCo3-xO4 (x = 0 and 1))/N-doped rGO) were synthesized using a solvothermal method. The synthesized materials were investigated using XRD, TEM, EDS, BET, Raman, and XPS for their phase formation, morphology, elemental composition, surface area, and chemical states. XRD analysis revealed that the metal oxides (Co3O4 and ZnCo2O4) present in the composites exhibited a single-phase cubic spinel structure, with a nanocrystalline nature and crystallite size ranging from 8 nm to 20 nm. Raman and TEM analyses revealed the co-existence of metal oxide nanoparticles and N-doped rGO phases in the composites. Electrodes were fabricated using the synthesized nanocomposite materials and subjected to electrochemical testing, including CV, GCD and EIS. The specific capacitiance (Cs) of samples determined to be 181 F/g and 234 F/g for CO/NrGO (Co3O4/N-doped rGO) and ZCO/NrGO (ZnCo2O4/N-doped rGO) nanocomposites, respectively, at lower current density (0.5 A/g). At all current densities, the CS of ZCO/NrGO nanocomposite electrode is observed to be higher than the CO/NrGO nanocomposite, probably due to structural defects and uniform anchoring of ZnCo2O4 particles over the layers of NrGO. The ZCO/NrGO composite electrode exhibits ?86 % capacitance retention after 3000 cycles.  2024 Elsevier B.V.</text>
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                <text>Kalpana S.; Bhat V.S.; Hegde G.; Anantharamaiah P.N.</text>
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              <elementText elementTextId="79948">
                <text>Materials Chemistry and Physics, Vol-319</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.matchemphys.2024.129331" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.matchemphys.2024.129331&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190338794&amp;amp;doi=10.1016%2Fj.matchemphys.2024.129331&amp;amp;partnerID=40&amp;amp;md5=517284b4ea1af312f14b8b5f0dc72c9d" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85190338794&amp;amp;doi=10.1016%2fj.matchemphys.2024.129331&amp;amp;partnerID=40&amp;amp;md5=517284b4ea1af312f14b8b5f0dc72c9d&lt;/a&gt;</text>
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                <text>ISSN: 2540584; CODEN: MCHPD</text>
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                <text>Kalpana S., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Bhat V.S., Centre for Nano-materials &amp;amp; Displays (CND), B. M. S. College of Engineering, Bull Temple Road, Bangalore, 560019, India; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Hosur RD, Bhavani Nagar, S. G. Palya, Bangalore, 560029, India; Anantharamaiah P.N., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India</text>
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                <text>Morphology-dependent supercapacitive properties of Co3O4 nanomaterials synthesized via coprecipitation and hydrothermal methods</text>
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                <text>Co&lt;sub&gt;3&lt;/sub&gt;O&lt;sub&gt;4&lt;/sub&gt; ; Cyclic voltammetry; Electrochemical impedance spectra; Galvanostatic chargedischarge; Morphology; Specific capacitance</text>
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                <text>The supercapacitive properties of Co3O4 nanocrystalline powders with two different morphologies synthesized by coprecipitation (referred to as Co3O4C) and hydrothermal (referred to as Co3O4-H) methods were compared and studied. The samples were analyzed for their phase purity, crystal structure, surface morphology, and surface area. Both samples were found to be single-phase nanostructures with a normal spinel-type cubic crystal structure (space group Fd3m), as indicated by Raman and XRD (X-ray diffraction) data analyses. TEM (Transmission electron microscopy) images clearly show that the Co3O4C sample exhibits spherical particles with a mean size of 10 nm. On the other hand, the Co3O4H sample shows a flower-like assembly of particles. The Co3O4C sample has a higher specific surface area than the Co3O4-H sample due to its smaller particle size. XPS (X-ray photoelectron spectroscopy) data were collected to analyze the chemical states and cation distribution of the samples, revealing a 2:1 ratio of Co3+ and Co2+ in both samples. Both samples displayed pseudocapacitive behaviour in CV (cyclic voltammetry) and GCD (galvanostatic chargedischarge) analyses. Despite having a smaller surface area, the Co3O4H electrode exhibited a higher CS (specific capacitance) compared to the Co3O4C electrode at all current densities when tested using 1 M KOH electrolyte. At a specific current density (0.5 A/g), the Cs values for Co3O4C and Co3O4H are found to be 366 F/g and 233 F/g, respectively. As the current density increases, the specific capacitance of both electrodes decreases, but this reduction is more prominent for Co3O4-C than Co3O4-H. The study indicates that besides surface area, the morphology of the sample also plays a crucial role in determining the capacitance of a material.  2023 Elsevier B.V.</text>
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                <text>Inorganic Chemistry Communications, Vol-158</text>
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                <text>Kalpana S., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Bhat V.S., Centre for Nano-materials &amp;amp; Displays (CND), B. M. S. College of Engineering, Bull Temple Road, Bangalore, 560019, India; Hegde G., Department of Chemistry, CHRIST (Deemed to be University), Hosur RD, Bhavani Nagar, S. G. Palya, Bangalore, 560029, India; Niranjana Prabhu T., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Anantharamaiah P.N., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India</text>
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                <text>Hydrothermally synthesized mesoporous Co3O4 nanorods as effective supercapacitor material</text>
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              <elementText elementTextId="95212">
                <text>Co&lt;sub&gt;3&lt;/sub&gt;O&lt;sub&gt;4&lt;/sub&gt;, morphology; Energy; Supercapacitors; Surface area</text>
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                <text>Mesoporous Co3O4 nanomaterial in rod-shape morphology has been synthesized via a hydrothermal method, and heat treated at 350 C for 2 h to develop a phase. Phase purity, morphology, specific surface area and chemical composition of as-obtained Co3O4 material were studied using XRD, Raman, TEM, N2-adsoprtion/desorption and XPS techniques. XRD and Raman analyses indicate single phase material formation with nano-structure, and cubic normal spinel-type structure with a cell parameter of 8.123  The spinel particles are of rod-shape morphology and the specific surface area, estimated through BET studies, is obtained as 47 m2/g. Cyclic voltammogram (CV) recorded at different scan rates evidently demonstrate pseudocapacitance nature of the synthesized material. Maximum specific capacitance (CS) is computed and the value is 261 F/g at 0.25 A/g. These materials have shown longer cycle stability at lower KOH concentration and lower current density. Synthesized Co3O4 nanomaterial could be used as electrode material for energy storage applications.  2023 Elsevier B.V.</text>
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                <text>Kalpana S.; Bhat V.S.; Hegde G.; Niranjana Prabhu T.; Anantharamaiah P.N.</text>
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                <text>Inorganic Chemistry Communications, Vol-154</text>
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                <text>Kalpana S., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Bhat V.S., Centre for Nano-materials &amp;amp; Displays (CND), B. M. S. College of Enginnering, Bull Temple Road, Bangalore, 560019, India; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Hosur RD, Bhavani Nagar, S. G. Palya, Bangalore, 560029, India; Niranjana Prabhu T., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India; Anantharamaiah P.N., Department of Chemistry, Faculty of Mathematical and Physical Sciences, M. S. Ramaiah University of Applied Sciences, Bangalore, 560058, India</text>
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                <text>The evaluation of the electrochemical properties of Co3O4 nanopowders synthesized by autocombustion and solgel methods</text>
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                <text>Autocombustion; Co&lt;sub&gt;3&lt;/sub&gt;O&lt;sub&gt;4&lt;/sub&gt;; CV; Cycle stability; GCD; Solgel</text>
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                <text>The present investigation involves two synthesis methods, autocombustion (Co3O4-AC) and solgel (Co3O4-SG), for producing nearly spherical-shaped and polygonal shaped nanomaterials of spinel cobalt oxide (Co3O4) respectively as electrode materials. TEM image analysis unveiled distinct particle morphologies for the two samples. The Co3O4-AC particles exhibited a nearly spherical shape, whereas the Co3O4-SG particles displayed a polygonal shape. The phase purity of the Co3O4 samples were confirmed via XRD patterns analysis and the crystallite size was calculated to be 44nm for Co3O4-AC and 36nm for Co3O4-SG. The surface area, estimated via BET experiments, of Co3O4-AC was found to be 15m2/g, while Co3O4-SG exhibited a slightly lower surface area of 11m2/g. Co3O4-AC exhibited a higher specific capacitance (Cs) of 162F/g at 0.25A/g, indicating its superior energy storage capability. On the other hand, Co3O4-SG shows a Cs of 98F/g, indicating slightly lower performance compared to Co3O4-AC. Both nanomaterials exhibited better stability, with more than 85% capacity retention after 5000 chargedischarge cycles.  2023, The Author(s), under exclusive licence to the Institute of Chemistry, Slovak Academy of Sciences.</text>
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                <text>Kalpana S.; Bhat V.S.; Hegde G.; Prabhu T.N.; Anantharamaiah P.N.</text>
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                <text>Chemical Papers, Vol-78, No. 1, pp. 343-356.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>&lt;a href="https://doi.org/10.1007/s11696-023-03093-8" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s11696-023-03093-8&lt;/a&gt;
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                <text>All Open Access; Green Open Access</text>
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                <text>Kalpana P., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India; Sumathi P., Department of Computer Science, VYSYA College, Tamil Nadu, Salem, India; Balan R.V.S., Department of Computer Science, CHRIST University, Karnataka, Bangalore, India; Padmapriya S., Department of Computer Science Engineering, Dhanalakshmi Srinivasan University, Tamil Nadu, Tiruchirappalli, India</text>
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                <text>Kalpana P., Dept. of Computer Science, CHRIST University, Karnataka, Bangalore, India; Sumathi P., Dept. of Computer Science, Vysya College, Tamil Nadu, Salem, India; Jose T., Dept. of Computer Science, CHRIST University, Karnataka, Bangalore, India; Deepa S., Dept. of Computer Science, CHRIST University, Karnataka, Bangalore, India; Gondkar R.R., Dept. of Computer Science, CHRIST University, Karnataka, Bangalore, India; Zeema L.J., Dept. of Computer Science, CHRIST University, Karnataka, Bangalore, India</text>
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                <text>Data Mining identifies intriguing, useful, and previously unknown patterns and correlations between data stored in databases or warehouses. Frequent Pattern Mining (FPM) is one of the vital methods in the prospering arena of data mining (DM), and it describes the relationship between the items in the datasets. In the last two decades, many studies were carried out in FPM using the Apriori algorithm. The Apriori algorithm requires many database scans and produces numerous candidate itemsets, increasing I/O cost and decreasing computational efficiency. To address these issues, researchers contributed many improved versions of Apriori and proved that those algorithms scan the database only once and identify the frequent itemsets quickly, especially when the itemsets are higher, and provide higher efficiency and feasibility. This research article summarizes matrix-based Apriori algorithms in the literature used for identifying frequent itemsets. 2025 IEEE.</text>
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                <text>Purpose: The business world has become more turbulent than ever. Organisations must be proactive to meet the challenges of the increasingly disruptive, dynamic, and unpredictable world. One technique that has supported leaders and organisations under challenging circumstances is 'backcasting', which works by envisioning a desirable future state and then working backwards to attain it. The current study aims to extend an understanding of the backcasting practices and strategic approaches that can be used by leadership teams in different industries in order to survive in turbulent times and can be adapted within and beyond any pandemic. Methodology: The research employs a desktop research method to review and compare the most commonly used strategies that leaders from different sectors can use for their respective organisations to thrive in the VUCA world. Findings: There needs to be more research on the applicability and relevance of backcasting that the leaders of different sectors can employ. The study would provide insights that would bridge the existing research gap and come up with suitable strategies that can be employed for dealing with VUCA challenges in the Indian context. Significance: The outcome of the study will be helpful to the leaders in designing and aligning 'out of the box' backcasting strategies to survive in the highly disruptive world.  2024 The authors. Published under exclusive licence by Emerald Publishing Limited. All rights reserved.</text>
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                <text>Kalra R.; Vazirani K.; Kadam S.; Verma D.</text>
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                <text>VUCA and Other Analytics in Business Resilience, pp. 39-58.</text>
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