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                <text>Gurumurthy S.B., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India; Danti A., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bangalore, 560074, India</text>
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                <text>Future measurements, software, and scalability testing related to cloud performance are required for forensic image scalability (FIS) optimisations and advancements. An advanced iterative reconstruction model and consensus mechanism must be used to quantitatively evaluate image quality in any blockchain framework since this will have a direct impact on the security and usability of the framework. This work addresses these problems by presenting a fast and efficient forgery detection system based on optimal security, feature extraction, and pre-processing. This will render conventional media security and forensic techniques meaningless. In this work, a random sample consensus (RSC) method is proposed for the analysis of FIS. To ensure that the architecture is as strong and secure as possible, the iterative reconstruction model (IRM) is employed. Initially, one may consider channel processing to be a form of database picture pre-processing. One perspective states that the enhanced chicken swarm optimisation (ECSO) algorithm is used to advance the scaling settings to balance invisibility and power. This RSCs threshold setting reduces the number of excluded matches as well as the root mean square error (RMSE). Enhancement of scalability as well as picture reconstruction demonstrate the utility of the proposed technology. The simulation findings on multiple retinal image datasets demonstrate that the proposed method further enhances accuracy matching by 10.56% and rate of progress by 30% on average compared with the RSC-IRM strategy.  2025 Inderscience Enterprises Ltd.</text>
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                <text>Singh T., School of Business and Management, Christ University, Bengaluru, 560029, India; Poulose J., School of Business and Management, Christ University, Bengaluru, 560029, India; Sharma V., Symbiosis Centre for Management and Human Resource Development (SCMHRD), Symbiosis International (Deemed University), Pune, 411057, India</text>
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                <text>The study delves into the transformative role of big data analytics (BDA) in supply chain management within the service industry, employing the PRISMA framework to systematically review literature published between 2011 and 2024. A comprehensive search across multiple databases identified 286 relevant studies, which were meticulously analysed through bibliometric techniques. Keyword and network analyses, conducted using VOSViewer, revealed critical research linkages, prominent technologies, and thematic patterns within the domain. The findings underscore the pivotal role of technology integration in enhancing the efficiency of service supply chains, with a particular emphasis on emerging technologies such as blockchain, artificial intelligence, and machine learning. By highlighting the interconnectedness of authors, identifying key themes through keyword analysis, and uncovering research patterns through frequency analysis, the study provides valuable insights into the integration of BDA, ultimately contributing to the advancement of supply chain management in the service industry. Copyright  2025 Inderscience Enterprises Ltd.</text>
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                <text>Examining the impact of uncertainty on business performance via strategic cost management adoption and implementation: the case of agro-based industries in and around Punjab, India</text>
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                <text>International Journal of Business Performance Management;Volume;26;Issue;1;pp.104-129</text>
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                <text>Aggarwal R., Chitkara Business School, Chitkara University, Punjab, India; Verma T., Chitkara Business School, Chitkara University, Punjab, India; Aggarwal A., Chitkara Business School, Chitkara University, Punjab, India; Sharma V., Computer Science Department, CHRIST (Deemed to be University), Delhi-NCR, India; Balusamy B., Shiv Nadar University, Gautam Budh Nagar, Delhi-NCR, India; Grima S., Department of Insurance and Risk Management, Faculty of Economics Management and Accountancy, University of Malta, Malta, Faculty of Business Management and Economics, University of Latvia, Latvia</text>
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                <text>Dynamic business environments require a change to survive. Strategic cost management (SCM) must re-conceive its future as new, improved, or reformed under opportunities and tough demands. Traditional cost management may not be adaptable to business turbulence. Increasing shareholder and customer demand, rapid information and technology improvements in manufacturing, and worldwide market rivalry with antiquated tools can be difficult. SCM goes beyond cost reduction and includes revenue generation and competitive advantage. This article examines the relationship between adopting and applying SCM approaches and company success in agro-based industrial businesses. Empirical survey data from agro-based industrial companies in Punjab were analysed using multivariate data analysis. According to contingency theory, size, technology, total productivity maintenance, strategy, and organisation culture are factors related to strategic cost management. All dependent factors, including control variable size, favourably affected SCM acceptance and utilisation, which has a pragmatic effect on agro-based businesses. SCM utilisation also mediated performance.   2025 Inderscience Enterprises Ltd.</text>
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                <text>International Journal of Business Innovation and Research;Volume;39;Issue;2;pp.161-179</text>
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                <text>Mukherjee S., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Baral M.M., Department of Operations, GITAM School of Business, GITAM (Deemed to be University), Visakhapatnam, India; Nagariya R., School of Business and Management, CHRIST (Deemed to be University), Delhi-NCR, Ghaziabad, India; Chittipaka V., School of Business and Management, CHRIST (Deemed to be University), Delhi-NCR, Ghaziabad, India</text>
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                <text>Blockchain technology is changing the supply chain face by removing the trust-related issues among the vendors and customers. The agriculture supply chain consists of products from the farms to the customers. In this process, traceability plays a vital role in tracking and tracing the products in the entire supply chain. This research aims to identify traceability factors for adopting blockchain using stakeholders theory. Five factors privacy, decentralised database, reduced transaction costs, secured database, shared database are identified from the extensive literature review and the influence of these factors is measured on the blockchain adoption and traceability in agriculture supply chain. The results of the study show a positive influence of these five factors on the blockchain adoption and traceability in agriculture supply chain. The study will motivate the managers of agriculture supply chain for the blockchain adoption for enhancing the traceability. Copyright  2025 Inderscience Enterprises Ltd.</text>
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              <elementText elementTextId="221146">
                <text>International Journal of Business and Globalisation;Volume;41;Issue;2;pp.156-177</text>
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                <text>&lt;a href="https://doi.org/10.1504/IJBG.2025.148781" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1504/IJBG.2025.148781&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105017985232?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105017985232?origin=resultslist&lt;/a&gt;</text>
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                <text>Gupta H., Department of Management, Jagannath International Management School, OCF, Pocket 9, Sector B, Vasant Kunj, New Delhi, 110070, India; Singh S., School of Commerce, Finance and Accountancy, Christ (Deemed to be University), Delhi-NCR, Mariam Nagar, Meerut Road, Delhi NCR, Ghaziabad, 201003, India; Bala R., Mukhtiar Singh Memorial Degree College, Behbalpur, Haryana, 125050, India; Sharma B., School of Commerce, Finance and Accountancy, Christ (Deemed to be University), Delhi-NCR, Mariam Nagar, Meerut Road, Delhi NCR, Ghaziabad, 201003, India</text>
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                <text>The movement of investment vehicles helps investors communicate as a stock market shield via a diverse portfolio. The COVID-19 outbreak had impacted the India along with other countries across the globe. The diseases progression and economic impact are highly uncertain. The current study is a novel effort to untangle the dynamic relationship between COVID-19 death and returns of NSE-listed life insurance stocks. We look at COVID-19 death data as well as returns from SBI Life, HDFC Life, and ICICI PRU from April 2020 to July 2021, when pandemic was the leading cause of death. Using the autoregressive distributed lag (ARDL) model technique, we discover that COVID-19 death has no dynamic relationship with the returns of selected life insurance stocks. In conclusion, our findings will provide stockholders, investment advisors, and policy experts with significant foresight into guaranteeing returns on life insurance stocks free from uncertain calamities such as COVID-19. Copyright  2025 Inderscience Enterprises Ltd.</text>
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                <text>Determinants of online consumer buying behaviour: an empirical study on apparel retail</text>
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                <text>International Journal of Business and Globalisation;Volume;40;Issue;3;pp.265-288</text>
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                <text>Katiyar N.; Tripathi A.P., School of Business and Management, Christ University, Ghaziabad, India</text>
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                <text>The purpose of this paper is to study the customer attitude towards apparel segment available online. A questionnaire is framed on the basis of extensive literature review and through which 654 valid responses were received from the online survey. The objective of the study has been fulfilled with the help of internal consistency reliability analysis, validity analysis (Cronbachs alpha and CFA) of the factors identified. Based on the data collected through the primary survey, it has been identified that overall convenience, price attribute, website quality, product brand image and perceived risk are the major determinants of customer online purchase intention. The study has many implications for online retailers, strategists, internet marketers and online shoppers in India. The majority of the shoppers in India seek offers and discounts instead of brand or high quality. The study reveals that online retailers may target the appropriate socio-economic background for the success. Copyright  2025 Inderscience Enterprises Ltd.</text>
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                <text>Kiran P., Westminster International University in Tashkent, 12 Istikbol Street, Tashkent, 100047, Uzbekistan; Banerjee J., College of Business, City University Ajman, United Arab Emirates; Vasudevan M., Christ University, Hosur Road, Near Diary Circle, Karnataka, Bangalore, 560029, India; Kishore S.V.K., Christ University, Hosur Road, Near Diary Circle, Karnataka, Bangalore, 560029, India</text>
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                <text>Sarah P., Department of Commerce, Christ (Deemed to be University), Karnataka, Bangalore, 560029, India; Chellaswamy K.P., Department of Commerce, Christ (Deemed to be University), Karnataka, Bangalore, 560029, India</text>
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                <text>Social exclusion has impeded transgender individuals to enter mainstream society and curbing them to start a business venture. Sporadic transgender individuals have paved their way to start the business venture. This study aims to explore the entrepreneurial challenges faced by transgender entrepreneurs. Twenty transgender entrepreneurs who have relinquished begging and commercial sex work were interviewed. The grounded theory analysis has revealed six significant categories: financial resources, competitors, human resources, marketing issues, natural calamities, and transphobia. The participants expressed that transphobia, and financial resources were highly challenging to start a business venture. These findings extend our understanding of their challenges beyond the current knowledge of cisgender entrepreneurs. Finally, the limitation of the study is enunciated. Copyright  2025 Inderscience Enterprises Ltd.</text>
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                <text>Sarah P., Department of Commerce, Christ (Deemed to be University), Karnataka, Bangalore, 560029, India; Chellaswamy K.P., Department of Commerce, Christ (Deemed to be University), Karnataka, Bangalore, 560029, India</text>
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                <text>To date, studies have focused on the men and women entrepreneurs and the gender difference in motivations among cisgender entrepreneurs. The study aims to determine whether a transgender individual entrepreneur is motivated through a push motivational factor or a pull motivational factor. This study employs a qualitative approach uses face-to-face interviews and a semi-structured interview with a sample size of 16 transgender entrepreneurs in India. It was found that the participants in this study were motivated by both push and pull factors. The motivational factors, which add to the knowledge of already existing push and pull factors, were to forego begging and commercial sex work, to break stereotypes, to create a business opportunity for other transgender individuals, to earn respect from society, to prove entrepreneurship is non-binary, to be a role model for other transgender individuals and to the society. In contrast, the push motivational factors were the limited opportunities, support received from society, the hijra guru, media, government support, family, friends, landlords, NGOs and another push motivational factor was the exhibitions conducted exclusively for the transgender individual entrepreneurs.  2025 Inderscience Enterprises Ltd.</text>
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                <text>International Journal of Business Environment;Volume;16;Issue;1;pp.77-98</text>
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                <text>Srinivas S.K., Christ University, Karnataka, Bangalore, 560029, India; Kumar A.A., Christ University, Karnataka, Bangalore, 560029, India; Elangovan N., Christ University, Karnataka, Bangalore, 560029, India</text>
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                <text>Entrepreneurial spirit transforms the economic scenario resulting in a significant contribution to society. Analytical transformation enables entrepreneurs with superior effective decision-making capability through information gathering, advanced technology adoption and data analysis. Effective analysis leads to superior organisational performance. However, in entrepreneurial-led large Indian organisations, the adoption of analytics is limited to predicting results. The study aims to identify the key factors that impact analytical transformation. The study also aims to identify key dynamic capabilities to achieve such transformation. This article identifies base theories related to the identified concepts. This article aims to develop an analytical transformation capability model for entrepreneurial-driven large industries. This study also empirically validates the proposed research model. The study concludes that entrepreneurial-led large Indian technology-driven industries lag behind their technology peers in adopting prescriptive analytics. The study also proposes an analytical transformation theory that aims to provide necessary techniques to improve organisational effectiveness. Copyright  2025 Inderscience Enterprises Ltd.</text>
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                <text>Lakshmanan G., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Dass P.L., School of Business and Management, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India</text>
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                <text>Healthcare supply chains are constantly evolving and, thus, are subject to an array of disruptive risks. Apart from being crucial to the sustenance of human life, the healthcare supply chains are pivotal in adding value to the economy. The Indian healthcare supply chain is an intricate structure of indigenous and international entities functioning in unison to provide healthcare products to the masses. Bottlenecks along the healthcare supply chain can lead to disruptive consequences at any point. Thus, the identification of these disruptive risks is crucial in articulating risk mitigation strategies and ensuring business continuity. This study identifies supply chain risks along the Indian healthcare supply chain through unstructured interviews with industry experts. The identified risks are prioritised using the analytic hierarchy process (AHP) decision matrix. The results revealed that the Indian healthcare supply chain is facing obstacles with respect to import and export activities. Copyright  2026 Inderscience Enterprises Ltd.</text>
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                <text>Saini M.L., Department of Computer Science and Engineering, Chandigarh University, Gharuan, Punjab, Mohali, 140055, India; Satish A.R., School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, India; Rao T.V.M., Department of AI&amp;amp;DS, Vignans Institute of Information Technology, Visakhapatnam, 530049, India; Mandala J., Department of Computer Science and Engineering, Christ (Deemed to be University), Bangalore, India; Das S., Department of CSE, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India; Rajan C., Department of Computer Science and Engineering, GMR Institute of Technology, Andhra Pradesh, Rajam, 532127, India</text>
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                <text>This paper establishes the fractional harmony artificial tree (FHAT)_EfficientNet for multi-grade classification in federated learning (FL). Here, the established FHAT is attained by the integration of the fractional calculus (FC) and harmony search-based feedback artificial tree (HSFAT) algorithm, and the HSFAT is developed by the combination of harmony search (HS) and feedback artificial tree (FAT). Initially, the input MRI image is taken from a particular dataset and subjected to pre-processing. Thereafter, tumour segmentation is accomplished based on fuzzy local information c-means (FLICM). Later, image augmentation and feature extraction are performed. Finally, the multi-grade classification is carried out using EfficientNet fine-tuned based on the proposed FHAT. Moreover, the established FHAT_EfficientNet attained better accuracy, specificity, sensitivity, mean squared error (MSE), root mean square error (RMSE), and loss function of 0.917, 0.936, 0.966, 0.058, 0.241, and 0.083. Copyright  2025 Inderscience Enterprises Ltd.</text>
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                <text>Divya D., School of Business and Management, Christ University, Karnataka, Bengaluru, India; Bhasi V.M., Department of Computer Science Engineering, The Pennsylvania State University, 16801, PA, United States; Arunkumar O.N., Symbiosis Institute of Business Management (SIBM), Symbiosis International (Deemed University) (SIU), Bengaluru, 560100, India</text>
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                <text>Earnings manipulation attracts attention from both industry and academia as detection of earnings manipulation helps them to invest wisely rather than based on falsified financial statements. This paper discusses a process through which earnings manipulators can be identified. This can help shareholders to detect companies who made modifications to their financial statements. Earlier researchers developed many mathematical models to identify earnings manipulators. However, their works require an in-depth understanding of financial ratios and accounting principles. The advancement of data-driven algorithms has now brought comparable machine learning detection techniques into the picture, wherein data scientists can use historical data to detect earnings manipulators. This paper discusses the use of an artificial neural network (ANN) for detecting manipulations in the dataset. Copyright  2025 Inderscience Enterprises Ltd.</text>
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                <text>Dhasaradhan A.P., Department of Life Sciences, Christ University, Karnataka, Bangalore, 560 029, India; Paari K.A., Department of Life Sciences, Christ University, Karnataka, Bangalore, 560 029, India</text>
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                <text>Calotropis gigantea is widely used in traditional medicine across rural and tribal regions for treating various ailments. The safety profile of this plant especially in concerning long term or high dose exposure, remains inadequately studied. This study aims to scientifically assess the toxicity of C. gigantea stem extract using zebrafish (Danio rerio) as a model organism. Chronic exposure over 10, 20 and 30 days revealed significant oxidative stress, mitochondrial impairment and histopathological alterations in vital organs. Key antioxidant enzymes glutathione reductase (GR), glutathione S-transferase (GST), succinate dehydrogenase (SDH), catalase (CAT) and superoxide dismutase (SOD) were analysed in the liver, gills, brain and muscles. Enzyme activity has initially increased but declined by the 30th day, indicating progressive oxidative damage. The liver and gills exhibited the most substantial biochemical and structural changes. The histological analysis confirmed cellular degeneration, inflammation and necrosis. These findings highlight the potential risks associated with unregulated therapeutic use of C. gigantea and emphasize the need for scientific validation and public awareness to ensure safe application.  The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited (https://creativecommons.org/licenses/by/4.0/)</text>
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                <text>ISSN: 23481900;</text>
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                <text>Radhika, C.; Sutradhar, Rajib; Mahesh, E.; Kethineni, Udaya Bhaskar; Prasad, Jagdish</text>
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                <text>Diversification towards horticulture crops: District level evidence from Indian state of Karnataka - A panel regression approach</text>
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              <elementText elementTextId="221006">
                <text>Plant Science Today;Volume;12;pp.1-16</text>
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                <text>&lt;a href="https://doi.org/10.14719/pst.8856" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.14719/pst.8856&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105022873291?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105022873291?origin=resultslist&lt;/a&gt;</text>
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                <text>Radhika C., Department of Economics, Christ (Deemed to be) University, Karnataka, Bengaluru, 560 029, India, ICAR-National Bureau of Soil Survey (NBSS) and Land Use Planning (LUP), Regional Centre, Karnataka, Bengaluru, 560 024, India; Sutradhar R., Department of Economics, North-Eastern Hill University, Meghalaya, Shillong, 793 022, India; Mahesh E., Department of Economics, Christ (Deemed to be) University, Karnataka, Bengaluru, 560 029, India; Kethineni U.B., ICAR-National Institute of Seed Science and Technology (NISST), Regional Station, Karnataka, Bengaluru, 560 065, India; Prasad J., ICAR-National Bureau of Soil Survey (NBSS) and Land Use Planning (LUP), Maharashtra, Nagpur, 440 033, India</text>
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                <text>A growing strand of literature has highlighted a positive association between diversification towards high-value crops and poverty reduction in developing countries, largely drawing on household-level data. However, many socio-economic and biophysical factors operate at the meso (district) level, and their role in diversification towards high-value crops is not well understood. Against this backdrop, the present paper examines the case of the Indian state of Karnataka by drawing upon the panel data from 2001 to 2021 to study the determinants of diversification towards horticulture crops and their sub-sector at the district level. The results of a fixed-effects panel regression model show that increasing the share of horticulture does not necessarily promote diversification. The finding further revealed that factors driving the increasing share of horticulture crops vary in importance across different sub-sectors. Government and donor agencies would do well to note that a one-size-fit-all approach does not work form promoting diversification. It is imperative to develop tailored strategies that address the specific needs and conditions of diverse regions to effectively promote sustainable land-use practices. The studys findings reveals that demand-side factors like gross GDP (gross domestic product) per capita of the district and the degree of urbanization affect horticulture diversification positively. Furthermore, the study provides crucial insights into the impact of increasing population pressure, which is largely associated with rapid expansion of nonagricultural land. This trend negatively affects the availability of land allocated to horticulture and its sub-categories at the district level.  The Author(s). This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited (https://creativecommons.org/licenses/by/4.0/)</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="221010">
                <text>crop diversification; determinants of land use change; fixed effects panel regression; high-value crops</text>
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          <element elementId="45">
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                <text>ISSN: 23481900;</text>
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              <elementText elementTextId="221015">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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              <elementText elementTextId="220989">
                <text>Nixon, Delna Maria; Sijo, Jaise; Paari, Kuppusamy Alagesan</text>
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              <elementText elementTextId="220990">
                <text>Microbial biofertilizers: A sustainable agricultural approach to augment crop resilience against biotic and abiotic stresses</text>
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            <elementTextContainer>
              <elementText elementTextId="220992">
                <text>Plant Science Today;Volume;13;Issue;sp1;pp.1-8</text>
              </elementText>
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          <element elementId="43">
            <name>Identifier</name>
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              <elementText elementTextId="220993">
                <text>&lt;a href="https://doi.org/10.14719/pst.8837" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.14719/pst.8837&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105038430821?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105038430821?origin=resultslist&lt;/a&gt;</text>
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              <elementText elementTextId="220994">
                <text>Nixon D.M., Department of Life Sciences, Christ University, Karnataka, Bangalore, 560 029, India; Sijo J., Department of Life Sciences, Christ University, Karnataka, Bangalore, 560 029, India; Paari K.A., Department of Life Sciences, Christ University, Karnataka, Bangalore, 560 029, India</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="220995">
                <text>Increasing plant growth and yield with the aid of plant growth-promoting bacteria is a widely accepted, eco-friendly and economic approach in modern agriculture. Their use as an alternative to widely used harmful chemical fertilizers and pesticides can improve overall soil health and fertility, thereby enhancing crop yield. The positive modulation of genes related to growth and development, fruit formation, stress tolerance and phytohormone production helps plants significantly during maturation. Furthermore, the enhanced production and expression of defence-related hormones aid in survival under various stress conditions, such as drought, pH fluctuations, salinity and water stress. In addition, the application of growth-promoting bacteria, mainly from species such as Azospirillum, Bacillus, Klebsiella, Enterobacter, Pseudomonas, Azotobacter, Burkholderia, Rhizobium, Alcaligenes, Arthrobacter and Serratia supports plant growth and development by improving soil porosity, pH and salinity conditions. This review briefly outlines the role of the plant growth-promoting bacteria as microbial biofertilizers that enhance crop resilience under both biotic and abiotic stress conditions. By highlighting recent advances in understanding the mechanisms of microbe-plant interactions under these stresses, it also provides unique insights into how microbial biofertilizers can be employed for sustainable agriculture. This has direct relevance for policymakers and farmers by reducing dependence on chemical fertilizers, which have various negative impacts, thereby promoting long-term environmental sustainability and improved agricultural practices.  (2025), (Science Press). All rights reserved.</text>
              </elementText>
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            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="220996">
                <text>defence; gene expression; growth promotion; phytohormones; plant stress; rhizobacteria</text>
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          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="220997">
                <text>Horizon e-Publishing Group</text>
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                <text>ISSN: 23481900;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="221001">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="220975">
                <text>Nair, Ariya; Xavier, Jobi</text>
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            <description>A name given to the resource</description>
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              <elementText elementTextId="220976">
                <text>Phytochemical characterization by GC-MS and in vitro evaluation of antioxidant potential of Walsura piscidia Roxb. leaves extract</text>
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              <elementText elementTextId="220978">
                <text>Plant Science Today;Volume;12;Issue;3;</text>
              </elementText>
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                <text>&lt;a href="https://doi.org/10.14719/pst.8653" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.14719/pst.8653&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105009516327?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105009516327?origin=resultslist&lt;/a&gt;</text>
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              <elementText elementTextId="220980">
                <text>Nair A., Department of Life Sciences, Christ (Deemed to be University), Karnataka, Bengaluru, 560 029, India; Xavier J., Department of Life Sciences, Christ (Deemed to be University), Karnataka, Bengaluru, 560 029, India</text>
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            <elementTextContainer>
              <elementText elementTextId="220981">
                <text>Walsura piscidia Roxb. (Family: Meliaceae) is currently known for rich sources of bioactive compounds with growing multiple therapeutic and medicinal importance. The main objectives of this study were to characterize the phytochemical profile of the leaves of W. piscidia by Gas Chromatography-Mass Spectrometry (GC-MS), followed by the evaluation of its antioxidant potential by quantifying the amounts of phenols and flavonoids present within the extracts, through the existing methods of detection. The extractive yield calculated after Soxhlet extraction was seen to be higher for the ethanolic extract with a value of 21.9 %, followed by the methanolic extracts (21.06 %) and the qualitative phytochemical tests gave similar classes of phytochemicals like triterpenoids, phenolic compounds and tannins in the methanolic and ethanolic extracts. The total phenolic content was seen to be higher in the ethanolic extract with a value of 26.192  0.401 mg GAE/g and the total flavonoid content was seen to be higher in the methanolic extract with a value of 42.972  0.214 mg QE/g. The methanolic extract showed promising results in the antioxidant assays with a significantly low IC50 value in DPPH assay and high ferric reducing power in ferric reducing antioxidant power (FRAP) assay. The GC-MS chromatograms showed almost similar compounds for both the methanolic and ethanolic leaf extracts, some important ones being n-Hexadecanoic acid, stigmasterol, campesterol, 5-hydroxymethyl furfural, etc, displaying properties of interest like antioxidant, anti-inflammatory, anti-microbial, etc. This work contributes to our better understanding of the medicinal properties of the leaves of W. piscidia and has also provided a strong scientific basis to the traditional usage claims of this tree.  The Author(s).</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="220982">
                <text>antioxidant assay; GC-MS analysis; phytochemical analysis; soxhlet extraction; triterpenoids</text>
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            <name>Publisher</name>
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              <elementText elementTextId="220983">
                <text>Horizon e-Publishing Group</text>
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              <elementText elementTextId="220984">
                <text>ISSN: 23481900;</text>
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            <elementTextContainer>
              <elementText elementTextId="220985">
                <text>English</text>
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            </elementTextContainer>
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                <text>All Open Access; Gold Open Access; Green Open Access</text>
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                  <text>Faculty Publications</text>
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                <text>Mathew, Ann Susan; Xavier, Jobi</text>
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                <text>Phytochemical screening, GC-MS profiling and in vitro antioxidant activity of leaves of Dysoxylum malabaricum Bedd. ex C. DC.</text>
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                <text>01-01-2025</text>
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              <elementText elementTextId="220964">
                <text>Plant Science Today;Volume;12;Issue;3;</text>
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                <text>&lt;a href="https://doi.org/10.14719/pst.8566" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.14719/pst.8566&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105009823051?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105009823051?origin=resultslist&lt;/a&gt;</text>
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                <text>Mathew A.S., Department of Life Sciences, Christ University, Karnataka, Bangalore, 560 029, India; Xavier J., Department of Life Sciences, Christ University, Karnataka, Bangalore, 560 029, India</text>
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                <text>Plants are a rich source of phytocompounds, have remained an integral part of traditional medicine and serve as alternativesto modern medical treatments. They are powerful sources of antioxidants and the bioactive compounds in plants are associated with a wide range of pharmacological activities. Dysoxylum malabaricum is a species of medium to large-sized trees from the Meliaceae family that is widely found in the Southern Western Ghats and its bark and fruits are used in traditional medicine. Even though it is widely used as ethnomedicinal plant, limited research has been done on its phytochemical constituents, especially the phytocompounds presentin the leaves. Therefore, this study aims to extensively explore and identify the phytocompounds and bioactive elements found in the leaf extracts of D. malabaricum. Extract was prepared from leaves of D. malabaricum using soxhlet extraction method in different solvents (methanol, water and chloroform). Quantitative estimation of phytochemicals and in vitro antioxidant assays were carried out, followed by chemical profiling of the extracts using GC-MS, which revealed the presence of many important secondary bioactive compounds. The methanolic extract showed a higher concentration of phenolics (67.88  0.26 mg GAE/g) and flavonoids (57.55  0.23 mg QE/g) when compared to aqueous and chloroform extracts. The methanolic extract also demonstrated remarkable DPPH scavenging (with IC50value 32.45  0.22 g/mL) and ferric reduction activities. The results demonstrate that D. malabaricum is an effective source of bioactive and antioxidant compounds.  2025 Horizon e-Publishing Group. All rights reserved.</text>
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            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="220968">
                <text>antioxidants; bioactive compounds; dysoxylum; GC-MS analysis</text>
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            <name>Publisher</name>
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              <elementText elementTextId="220969">
                <text>Horizon e-Publishing Group</text>
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                <text>ISSN: 23481900;</text>
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                <text>English</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="220973">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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            <name>Format</name>
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              <name>Title</name>
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                  <text>Faculty Publications</text>
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          <element elementId="39">
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              <elementText elementTextId="220947">
                <text>Suresh, Monica; Pappuswamy, Manikantan</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Identification of bioactive metabolites in Turnera ulmifolia: Preliminary phytochemical screening and FTIR analysis</text>
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                <text>01-01-2025</text>
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              <elementText elementTextId="220950">
                <text>Plant Science Today;Volume;12;Issue;3;pp.1-8</text>
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                <text>&lt;a href="https://doi.org/10.14719/pst.7515" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.14719/pst.7515&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/105018186982?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/105018186982?origin=resultslist&lt;/a&gt;</text>
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              <elementText elementTextId="220952">
                <text>Suresh M., Department of Life Sciences, Christ (Deemed to be) University, Bangalore, 560 029, India; Pappuswamy M., Department of Life Sciences, Christ (Deemed to be) University, Bangalore, 560 029, India</text>
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              <elementText elementTextId="220953">
                <text>Turnera ulmifolia L., a member of the Passifloraceae family, is widely distributed across tropical and subtropical regions. Though frequently considered a weed, it has been commonly used in folk medicine to treat inflammation, infections, wounds and digestive ailments. Earlier studies have found alkaloids, flavonoids, tannins, terpenoids and polyphenols in species from the same genera that contribute to their therapeutic efficacy. Despite its ethnomedicinal value, the phytochemical profile and functional group characterization of T. ulmifolia are still unexplored. This study aimed to investigate the phytochemical composition of its leaf, stem and root extracts using different solvents (methanol, ethanol, hexane and acetone) and identify key functional groups through FTIR analysis. Phytochemical screening confirmed the presence of diverse secondary metabolites. FTIR analysis further revealed functional groups such as O=C=O, C=C and S=O, which are associated with therapeutic properties. Notably, alkaloids were abundant in leaf extracts, while sulfoxide groups, known for their herbicidal and medicinal effects, were detected in the stem. These findings reinforce the pharmacological potential of T. ulmifolia as a promising source of bioactive metabolites with medicinal and ecological applications. Its capacity to diversify in various habitats and create bioactive molecules under stress points to possible uses in medicine discovery, sustainable agriculture and environmental restoration. This study lays the groundwork for future research to validate its therapeutic potential and explore its integration into modern pharmaceutical and ecological solutions.  (2025), (Horizon e-Publishing Group). All rights reserved.</text>
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          <element elementId="49">
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              <elementText elementTextId="220954">
                <text>bioactive; functional group analysis; T. ulmifolia; weed plant</text>
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              <elementText elementTextId="220955">
                <text>Horizon e-Publishing Group</text>
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                <text>ISSN: 23481900;</text>
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              <elementText elementTextId="220957">
                <text>English</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="220959">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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          <element elementId="42">
            <name>Format</name>
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                <text>online</text>
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