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                <text>Safeguarding tribal rights in the Sundarbans: Navigating health challenges, indigenous wisdom, and paths to sustainable development</text>
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                <text>Community Climate Justice and Sustainable Development;pp.417-452</text>
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                <text>Ghosh O., Christ University, India; Raj M.S.S., Christ University, India</text>
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                <text>The Sundarbans is home to diverse indigenous communities whose rights and well-being are increasingly threatened by health challenges and climate change. Traditional practices of health and agriculture, passed down through generations, offer invaluable insights into maintaining ecological balance and combating emerging health issues. Indigenous communities possess extensive knowledge about local flora and fauna, which can enhance nutritional security and disease resistance. It is crucial to involve tribal leaders and members in discussions to ensure their rights are prioritized. Furthermore, integration of modern healthcare services with indigenous healing practices can create a more robust health framework. Collaborative efforts between governmental and non-governmental organizations can facilitate awareness campaigns. By navigating these challenges together, it is possible to create sustainable paths forward that honor the wisdom of the indigenous peoples of the Sundarbans while fostering their health and development.  2025 by IGI Global Scientific Publishing. All rights reserved.</text>
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                <text>Safety andWelfare of Children Under Institutional Care in India: A Situation Analysis</text>
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                <text>A large number of children worldwide live under institutional care due to certain compulsions. The reasons for institutional stay vary on the basis of geopolitical situations and the nature of the children. Some of the reasons include premature loss of parents, poverty, lack of social support, parents substance dependence, neglect, involvement of children in socially undesirable behaviour and/or violation of law, abuse, exploitation and so on. The broad objective of this chapter is to discuss the evolution of childcare measures adopted by the Government of India after independence, highlight upon the need for institutional care and examine the issues and challenges faced by the children under institutional care in India. At the end of the chapter, the way forward measures are suggested for ensuring safety of the children under institutional care, creating improved living environments for them and for creating congenial social and psychological environments through empowerment of the care providers, with knowledge and information for healthy child upbringing. Cooperation from the larger society, by involving retired persons in the institutions for education of the children is suggested, justifying the need for the same. For a holistic child growth and development, the need for extra-curricular activities, physical exercises, as well as group activities, are emphasized upon. Building resilience among these children to develop confidence and face life challenges are also discussed in the chapter.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2022.</text>
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                <text>Bhuvaneswari K.; Deb S.; Paul D.; Deb S.</text>
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                <text>Child Safety, Welfare and Well-being: Issues and Challenges, Second Edition, pp. 215-232.</text>
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                <text>Bhuvaneswari K., Dept. of Psychology, Kasthurba College for Women, Pondicherry, India; Deb S., CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Paul D., RGNIYD, Tamil Nadu, Sriperumbudur, India; Deb S., Rajiv Gandhi National Institute of Youth Development (RGNIYD), Tamil Nadu, Sriperumbudur, India, School of Public Health and Social Work, QUT, Australia</text>
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                <text>data transmission channels; ground control station; hardware; Information security; software; unmanned aerial vehicles</text>
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                <text>The safety risk management process describes the systematic application of management policies, procedures and practices to the activities of communicating, consulting, establishing the context, and assessing, evaluating, treating, monitoring and reviewing risk. This process is undertaken to provide assurances that the risks associated with the operation of unmanned aircraft systems have been managed to acceptable levels. Active efforts should be made to develop rules to ensure the safe operation of unmanned aerial vehicles. For the safe integration of operations with unmanned aerial vehicles, it is important to take into account the influence of different levels of control and autonomous capabilities, as well as the source of movement monitoring in the system. This article discusses the security issues of unmanned systems, the main directions of ensuring the information security of unmanned systems, software and hardware vulnerabilities have been identified. The methods of information protection are given, the disadvantages are indicated.  The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.</text>
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                <text>Kononova N.V., North-Caucasus Federal University, Stavropol, Russian Federation; Andrusenko Y.A., North-Caucasus Federal University, Stavropol, Russian Federation; Kononov M.N., North-Caucasus Federal University, Stavropol, Russian Federation; Prakasha G.S., North-Caucasus Federal University, Stavropol, Russian Federation, School of Education, Christ University, Bengaluru, India; Tokmakova M.E., North-Caucasus Federal University, Stavropol, Russian Federation</text>
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                <text>And women empowerment; Christian humanism; Education; Kuriakose Elias Chavara; Literature and humanism; Printing; Social uplift</text>
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                <text>The concepts of humanism, secular and particularly Christian humanism, were very active in the debates of academic circles and related areas for a long time. The application and understanding of Christian humanism in Indian context was felt necessary in the context of the life and contributions of many Christian humanists. St Kuriakose Elias Chavara was a socioreligious reformer of nineteenth century Kerala. His life and that of others were made closer to God and it resulted in getting more meaningful life patterns in the society. His efforts at providing a platform for God experience, education for all, women empowerment, uplift of dalits and the poor and extending concern for the sick and the dying were the fruits of his dialogue with the society. It has got rare parallels in the history of nineteenth century Kerala.  2017 Journal of Dharma: Dharmaram Journal of Religions and Philosophies.</text>
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                <text>Sale and transplantation of human organs in india critical evaluation of the legal framework  </text>
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                <text>The demand for the organ transplantation far exceeds the availability of organs or donors. This leads to unfair trade and commerce in human organs. Though India has a legal framework to regulate various aspects of organ transplantation the same does not seemed to have addressed the issue either adequately or comprehensively. The supply of donated organs has been inadequate for years. Current methods of obtaining organs and tissues have not provided an adequate supply of organs for use in transplantation. Obviously, the problem of scarcity is acute newlinefor the individuals who require organ transplants.Organ Transplantation is a lifesaving method.But, still it is unclear whether existing law is adequate to curb the organ sale and regulate organ transplantation. Although the general field of transplantation is still in a state of change and growth, there have been recent developments in legislation, especially giving priority to the genuine consent of the donor. Although the majority of legislation has been written for cadaver organ donation, slowly, regulation is developing for living organ donation as well.The advantages of cadaver transplantation are obvious: the dead donor encounters no risk in the performance of the transplantation operation. At present this is the only way that a vital organ newlinecan be replaced. The donor, once pronounced dead, is not exposed to any of the hazards which face the live donor. The laws of different countries allow either the potential organ donor to consent or dissent to the donation during his life time, or his relatives to consent or dissent after newlinehis death. Due to these different legislative possibilities, the number of donations per million people varies substantially in different countries. In most countries with the dissent solutions, newlinethere is no waiting list for donations, or the list is short, while most countries with consent solutions have substantial organ shortages.</text>
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                <text>Subha, C C.</text>
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                <text>Christ(Deemed to be University)</text>
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                <text>Nair, K Vikraman</text>
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                <text>Sales Prediction Scheme Using RFM based Clustering and Regressor Model for Ecommerce Company</text>
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                <text>Machine Learning algorithms; Prediction; Unsupervised Algorithms</text>
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                <text>Machine learning models are being used for better insights and decision making across many industries today. It shows to be quite useful for businesses in the ecommerce industry as well due to the vast amount of data generated and its potential. This research aimed to find insights on future sales of an ecommerce company [1]. The vast number of variables including both categorical and continuous variables under product data, customer information, transaction information, led us to implement a prediction model using regressors rather than just time series forecasting techniques. First an RFM (Recency, Frequency and Monetary) based clustering algorithm was used to get customer related information and then integrate those results into a regressor to achieve the desired goal of prediction of sales. Two schemes were tested one being predictions on individual clusters and the other where the clusters were one hot encoded back into the main data. Results show quite high accuracy of prediction. The high R-squared also indicated that our hypothesis of including the variables contributed significantly to the predicted sales values was correct in this case. This research fulfills an identified need to understand how machine learning algorithms can be implemented by multiple algorithms being integrated in sequential and logical orders thus helping derive business specific strategies rather than making it a mere technical process by providing empirical results about how the predicted sales values along with given inputs can contribute in business decision making relating to marketing, inventory management, dynamic pricing or many more such strategies.  2022 ACM.</text>
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                <text>Chalapathy N.; Helen Josephine V.L.; Rajalakshmi K.</text>
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                <text>Chalapathy N., Christ University, Bengaluru, India; Helen Josephine V.L., Christ University, Bengaluru, India; Rajalakshmi K., Montfort College, Bengaluru, India</text>
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                <text>Sales Promotion Practices In Apparel Retail Sector And Challenges Ahead</text>
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                <text>This study introduces SALF (Secure Academic Ledger Framework), a technically innovative blockchain-based system engineered to overcome persistent challenges in academic credential management, including latency bottlenecks, governance opacity, and integration inflexibility. SALF pioneers a hybrid on-chain/off-chain architecture optimized for low-latency operations while preserving blockchain immutability, and it employs a role-based smart contract suite tailored to institutional hierarchies. Unlike prior frameworks, SALF integrates a degree-based incentive mechanism that quantifies data quality metricslegibility, correctness, and non-redundancyto ensure equitable institutional participation and discourage centralization. Built upon a Proof of Authority (PoA) consensus model, SALF achieves high performance under load, maintaining a throughput of over 30 transactions per second (TPS) and P95 latency below 300 milliseconds. RESTful APIs ensure real-time interoperability with existing systems such as ERPs and academic dashboards. Compared to benchmark systems like EduCert-Chain and EduCopyRight-Chain, the proposed framework achieves a 41.3% reduction in latency and maintains stable throughput under high-load conditions, even as other systems exhibit significant degradation or integration constraints. These distinctive technical contributions position SALF as a scalable, governance-aware, and future-ready infrastructure for decentralized academic credentialing across heterogeneous institutions.  2025, Interdisciplinary Publishing Academia. All rights reserved.</text>
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                <text>Medicinal plants are increasingly challenged by rising chromium (Cr) levels in agricultural soil and water bodies due to industrialization and human activities. This research examines the impact of various chromium concentrations on Salvia officinalis L., a medicinal herb, over 3 specific time periods: 30, 60 and 90 days. As the duration of Cr exposure increases, various growth parameters showed an upward trend at the lowest concentrations, with the most robust growth observed in the 20 ppm Cr treatment group after 90 days. However, higher chromium concentrations resulted in reduced plant growth compared to untreated plants. Chromium primarily accumulates in the roots, stems and leaves, with the highest accumulation observed at 100 ppm. However, chlorophyll content declined with prolonged Cr exposure, particularly at higher concentrations. Carbohydrate levels initially increased at lower Cr concentrations but decreased with greater exposure, while protein content consistently decreased with elevated Cr levels. Proline levels exhibited mixed responses, rising at lower concentrations and declining at higher ones. Malondialdehyde (MDA) content increased with higher Cr levels and extended exposure. The enzymatic antioxidant system showed an initial increase followed by a decline with prolonged exposure. Rosmarinic acid content increased with chromium (Cr) exposure upto 60 ppm but subsequently decreased beyond that threshold. In the first 30 days, plants treated with Cr demonstrated a 17 % increase in rosmarinic acid production compared to the control (48.9 mg/g DW). However, with continued Cr exposure, there was a decline in rosmarinic acid production ranging from 10 % to 20 % compared to the control level (67.02 mg/g DW) at 90 days post-treatment. These findings underscore the complex and contrasting responses of Salvia officinalis to Cr toxicity, highlighting the necessity for extended study into the core mechanisms governing these responses and the development of strategies to alleviate heavy metal stress in plants.  The Author(s).</text>
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                <text>Plant Science Today, Vol-11, No. 4, pp. 268-279.</text>
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                <text>Ramakrishnan R., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 560 029, India; Nagella P., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore, 560 029, India</text>
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                <text>The previous chapter discussed assessment in internship, while this chapter introduces various templates for such assessments and presentations in teaching internship. There are various tasks provided to preservice teachers, such as making reflections, observations, and lesson plans. These tasks are evaluated during the completion of the internship. A rubric for this evaluation is also provided in this chapter. The chapter also provides templates for a permission letter seeking leave and a template for successful completion of internship. The templates provided in this chapter can serve as a valuable resource for teacher educators, researchers and stakeholders in the field of teacher education for internship practices.  2023 selection and editorial matter G.S. Prakasha and Anthony Kenneth; individual chapters, the contributors.</text>
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                <text>Teacher Education: An Analytical Approach to Internship Practices Around the World, pp. 208-228.</text>
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                <text>Prakasha G.S., School of Education, Christ University Central campus, Bangalore, India; Kenneth A., Jyoti Nivas Pre-University College, Bangalore, India</text>
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                <text>Sampling and Categorization of Households for Research in Urban India</text>
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                <text>Conventional sampling methodologies for citizens/households in urban research in India are constrained due to the lack of readily available, reliable sampling frames. Voter lists, for example, are riddled with errors and, as such may not be able to provide a robust sampling frame from which a representative sample can be drawn. The JanaBrown Citizenship Index project consortium (Janaagraha, India; Brown University, USA) has conceptualized a unique research design that provides an alternative way on how to identify, categorize and sample households (and citizens within) in a city in a representative and meaningful way. The consortium consists of the Janaagraha Centre for Citizenship and Democracy, based in India, and the Brown Center for Contemporary South Asia, part of Brown University, USA. The methodology was designed to enable systematic data collection from citizens and households on aspects of citizenship, infrastructure and service delivery across different demographic sections of society. The article describes how (a) data on communities that are in the minority, such as Muslims, scheduled castes (SC) and scheduled tribes (ST), were used to categorize Polling Parts to allow for stratified random sampling using these strata, (b) geospatial tools such as QGIS and Google Earth were used to create base maps aligning to the established Polling Part unit, (c) the resulting maps were used to create listings of buildings, (d) how housing type categorizations were created (based on the structure/construction material/amenities, etc.) and comprised part of the building listing process, and (e) how the listings were used for sampling and to create population weights where necessary. This article describes these methodological approaches in the context of the project while highlighting advantages and challenges in application to urban research in India more generally.  2022 Lokniti, Centre For The Study Of Developing Societies.</text>
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                <text>Arora T.; Pyle K.</text>
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                <text>Studies in Indian Politics, Vol-10, No. 2, pp. 254-274.</text>
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                <text>&lt;a href="https://doi.org/10.1177/23210230221137633" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1177/23210230221137633&lt;/a&gt;
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                <text>ISSN: 23210230</text>
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                <text>Arora T., Christ (Deemed to be University), Karnataka, Bengaluru, India; Pyle K., Janaagraha Centre for Citizenship and Democracy, Karnataka, Bengaluru, India</text>
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                <text>Sandwich structured pedot-TiO2/GO/PEDOT-TiO2 electrodes for supercapacitor</text>
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              <elementText elementTextId="92218">
                <text>Electrochemical Performance; Graphene Oxide; Metal Oxide; PEDOT; Supercapacitor</text>
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                <text>In this study, we fabricated a divergent strategy to enhance the electrochemical capacitive properties of electrodes via the cost-effective multistep green and facile electrodeposition and brush coating technique of PEDOT-TiO2/GO/PEDOT-TiO2 composite. The synthesised composite showed both EDLCs and pseudocapacitive behaviour with a good specific capacitance of 501 Fg?1 for sandwiched structure at 1 Ag?1. From the results, synthesized composite has a better ion transportation mechanism which leads to a fast chargedischarge cycle as well as a very high value of power density (500 kW/ kg) suitable for supercapacitor applications. The substance demonstrated excellent electrochemical stability, retaining 94 % of capacitance after 2000 cycles. The obtained nanocomposites were examined by FTIR, XRD, Raman, SEM-EDX and electrochemical analyses such as CV, GCD and EIS analyses. We consider that the highly stable PEDOT-TiO2/GO/PEDOT-TiO2 nanocomposite with super-capacitive behaviours is a very promising material for high-performance electrochemical storage.  2023 The Authors</text>
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                <text>Simon S.; James N.; Rajeevan S.; George S.C.; Sreeja P.B.</text>
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                <text>Results in Chemistry, Vol-6</text>
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              <elementText elementTextId="92222">
                <text>Elsevier B.V.</text>
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                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.rechem.2023.101144" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.rechem.2023.101144&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174917000&amp;amp;doi=10.1016%2Fj.rechem.2023.101144&amp;amp;partnerID=40&amp;amp;md5=c3e97efb9b65e0a8ab940cf75f844d1e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174917000&amp;amp;doi=10.1016%2fj.rechem.2023.101144&amp;amp;partnerID=40&amp;amp;md5=c3e97efb9b65e0a8ab940cf75f844d1e&lt;/a&gt;</text>
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              <elementText elementTextId="92225">
                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 22117156</text>
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                <text>Simon S., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India; James N., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India; Rajeevan S., Department of Basic Sciences, Centre for Nanoscience and Technology, Amal Jyothi College of Engineering, Kottayam, 686101, India; George S.C., Department of Basic Sciences, Centre for Nanoscience and Technology, Amal Jyothi College of Engineering, Kottayam, 686101, India; Sreeja P.B., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, 560029, India</text>
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            <description>A name given to the resource</description>
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                <text>Saraca asoca (Roxb.) de Wilde, a sacred tree: its nutritional value, elemental composition and anti-nutritional content</text>
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              <elementText elementTextId="85707">
                <text>antinutritional factors; elemental composition; nutritional; Saraca asoca</text>
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                <text>The sacred Saraca asoca (Roxb.) de Wilde tree holds significant medicinal value and is utilized in ayurvedic preparations to treat various health conditions. This research investigated the nutritional, elemental and antinutritional properties of S. asoca leaves and flowers. The nutritional qualities of the tree parts were examined using the muffle furnace and micro-Kjeldahl techniques. Titration techniques were used to assess the antinutritional content of plants, whereas EDX (Energy dispersive X-ray) was used to determine the mineral content. Phytochemical analysis revealed the presence of tannins, phenols and flavonoids, along with antioxidant properties that could neutralize free radicals generated by metabolic processes in the body. Nutritional analysis indicated that the floral parts of S. asoca had higher moisture, carbohydrate and crude fat content than the leaves. Conversely, the leaves had elevated ash levels, crude fiber and protein. Leaf samples showed higher concentrations of minerals like calcium, phosphorus, sodium, iodine, iron and manganese compared to the floral samples. In contrast, flower samples exhibited higher potassium, copper, silicon and zinc levels. These findings highlight the rich nutritional profile, abundant phytochemicals and essential minerals in both tree parts, with low anti-nutrient content. This information could be instrumental in developing phytopharmaceuticals and nutritious food products. Additionally, utilizing these tree parts could offer a cost-effective way to enhance nutrient intake and address nutritional deficiencies in humans and animals. Copyright:  The Author(s).</text>
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                <text>Suresh M.; Pappuswamy M.</text>
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                <text>Plant Science Today, Vol-11, No. 4, pp. 788-797.</text>
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                <text>Horizon e-Publishing Group</text>
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                <text>&lt;a href="https://doi.org/10.14719/pst.3924" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.14719/pst.3924&lt;/a&gt;
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              <elementText elementTextId="85714">
                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 23481900</text>
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                <text>Suresh M., Department of Life Sciences, Christ Deemed to be University, Bengaluru, 560 029, India; Pappuswamy M., Department of Life Sciences, Christ Deemed to be University, Bengaluru, 560 029, India</text>
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                <text>SARDS: Secured anonymous routing with digital signature in wireless sensor network</text>
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                <text>A Wireless Sensor Network has witnessed a massive research towards security as well as energy efficiency in past decades. However, there are few studies that have witnessed a cost effective secure routing technique with energy effectiveness till date. Objectives: Our objective is to use public key cryptography for ensuring energy-efficient routing technique in Wireless Sensor Network. Method/Analysis: The proposed paper presents a technique called as SARDS (Secured Anonymous Routing with Digital Signature) that performs verification of the routing information exchanged among the sensors in Wireless Sensor Network. SARDS uses elliptical curve cryptography as the backbone of security formulations and performs authentication of all the communicating nodes present in the network. Findings: The system also allows a dual layer of security by introducing a novel signature based scheme towards public key encryption policy. The outcome of the study shows SARDS to excel best in performance in comparison of existing security and energy efficient routing schemes. Application/Improvements: Proposed SARDS technique offers 1) A novel public key encryption, 2) A novel digital signature scheme, and 3) A novel privacy or anonymous scheme. The outcome of the proposed system is also found to be superior as compared to existing protocols e.g. SecLEACH, LEACH and PEGASIS.</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>Roopashree H.R., Department of Computer Science and Engineering, Christ University, Bengaluru, Karnataka, 560029, India; Kanavalli A., Department of Computer Science and Engineering, MSRIT, Bengaluru, Karnataka, 560054, India</text>
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                <text>SARIMA Techniques for Predictive Resource Provisioning in Cloud Environments</text>
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                <text>Seasonal Autoregressive Integrated Moving Average (SARIMA) models for dynamic cloud resource provisioning are introduced and evaluated in this work. Various cloud-based apps provided historical data to train and evaluate SARIMA models. The SARIMA(1,1,1)(0,1,1)12 model has an MAE of 0.056 and an RMSE of 0.082, indicating excellent prediction ability. This model projected resource needs better than other SARIMA settings. Sample prediction vs. real study showed close congruence between projected and observed resource consumption. MAE improved with hyperparameter adjustment, according to sensitivity analysis. Moreover, SARIMA-based resource allocation improved CPU usage by 12.5%, RAM utilization by 20%, and storage utilization by 21.4%. These data demonstrate SARIMA's ability to forecast cloud resource needs. SARIMA-based resource management might change dynamic cloud resource management systems due to cost reductions and resource usage efficiency. This research helps industry practitioners improve cloud-based service performance and cost.   2023 IEEE.</text>
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                <text>2023 Intelligent Computing and Control for Engineering and Business Systems, ICCEBS 2023</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>Restricted Access</text>
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                <text>ISBN: 979-835039458-0</text>
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                <text>Bhat C.R., Saveetha School of Engineering (Saveetha Institute of Medical and Technical Sciences), Department of Computer Science and Engineering, Tamilnadu, Chennai, India; Prabha B., Loyola-ICAM College of Engineering and Technology, Department of It, Chennai, India; Donald C., CHRIST(Deemed to Be University), Department of Computer Science, Bengaluru, India; Sah S., School of Set, Sharda University, Greater Noida, India; Patil H., Computer Science and Engineering, Symbiosis Institute of Technology, Symbiosis International (Deemed University), Pune, India; Firos A., Rajiv Gandhi University (A Central University)Rono-Hills, Department of Computer Science and Engineering, Arunachal Pradesh, Doimukh, India</text>
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              <elementText elementTextId="216834">
                <text>Chittaragi, Amoghavarsha; Patil, Balanagouda; Manjesh, M.; Sridhar, S.; Hurakadli, Manjunath S.; Praveenakumar, R.; Dharamveer, S. Duhan; Kumar, Anil; Kumar, Rakesh; Mohan, Man; Kasniya, Pawan Kumar</text>
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                <text>SARIMA-Random Forest Framework for Forecasting Anthracnose Severity in Bottle Gourd Under Variable Transplanting Dates</text>
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                <text>Plant Pathology;Volume;75;Issue;1;Article No.;e70093;</text>
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                <text>Chittaragi A., Department of Plant Pathology, College of Agriculture, Chaudhary Charan Singh Haryana Agricultural University, Haryana, Hisar, India, ICAR-KVK, Chintamani, University of Agricultural Sciences, Karnataka, Bangalore, India; Patil B., Department of Plant Pathology, Keladi Shivappa Nayaka University of Agricultural and Horticultural Sciences, Karnataka, Shivamogga, India; Manjesh M., Department of Life Sciences, Christ University, Bengaluru, India; Sridhar S., Centre for Climate Resilient Agriculture, Keladi Shivappa Nayaka University of Agricultural and Horticultural Sciences, Karnataka, Shivamogga, India; Hurakadli M.S., Department of Plant Pathology, College of Agriculture, Chaudhary Charan Singh Haryana Agricultural University, Haryana, Hisar, India; Praveenakumar R., ICAR-KVK, Chintamani, University of Agricultural Sciences, Karnataka, Bangalore, India; Dharamveer S.D., Department of Vegetable Sciences, Chaudhary Charan Singh Haryana Agricultural University, Haryana, Hisar, India; Kumar A., Department of Nematology, College of Agriculture, Chaudhary Charan Singh Haryana Agricultural University, Haryana, Hisar, India; Kumar R., Department of Plant Pathology, College of Agriculture, Chaudhary Charan Singh Haryana Agricultural University, Haryana, Hisar, India; Mohan M., Department of Plant Pathology, College of Agriculture, Chaudhary Charan Singh Haryana Agricultural University, Haryana, Hisar, India; Kasniya P.K., Department of Plant Pathology, College of Agriculture, Chaudhary Charan Singh Haryana Agricultural University, Haryana, Hisar, India</text>
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                <text>Anthracnose, caused by Colletotrichum lagenarium, is an economically important disease affecting bottle gourd. This study aimed to evaluate the influence of transplanting time and weather parameters on anthracnose progression and to develop a forecasting framework using statistical and machine-learning models. Field experiments were conducted during the monsoon seasons of 2023 and 2024, with four transplanting dates: 1 June, 15 June, 1 July and 15 July. Disease severity was assessed weekly on leaves and fruits along with concurrent recording of weather data. Correlation and regression analyses revealed minimum temperature as the most influential weather variables, particularly during early transplanting dates. The regression models yielded the highest explanatory power for 1 June fruits (R2 = 0.675), while later transplanting dates showed reduced disease pressure and lower model accuracy. To capture seasonal trends and short-term predictability, Seasonal Autoregressive Integrated Moving Average (SARIMA) models with configuration (1,1,1) (1,1,1) [15] were applied. These models effectively forecasted disease progression, especially for July transplanting with lower mean squared errors (MSE &amp;lt; 200). Time series decomposition showed strong seasonal and trend components in early sowings, while cross-correlation analysis confirmed a 13-week lag between weather triggers and disease expression. This study emphasises the importance of transplanting time in disease development and demonstrates the potential of combining SARIMA and random forest models for developing weather-based early warning systems. These findings contribute to climate-resilient crop protection strategies and can aid in timely decision-making for anthracnose management in bottle gourd and related cucurbits.  2025 British Society for Plant Pathology.</text>
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                <text>artificial intelligence; climate-resilient disease management; disease forecasting; epidemiological modelling; machine learning; time series modelling</text>
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                <text>John Wiley and Sons Inc</text>
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                <text>ISSN: 320862; CODEN: PLPAA</text>
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                <text>English</text>
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              <elementText elementTextId="216846">
                <text>All Open Access; Bronze Open Access</text>
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                <text>Deep learning, Convolutional Neural Network(CNN). Chest X-ray images (CXR)  Pneumonia detection  COVID-19</text>
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                <text>Coronavirus (COVID-19) is a contagious disease which begins with flu-like symptoms. COVID-19 arose in China and it rapidly spread throughout the globe, leading to a pandemic. For many, it was noticed that the infection started with fever, cough and finally leading to pneumonia. It is very necessary to differentiate between covid pneumonia and general pneumonia for appropriate treatment. Chest X-ray readings are useful for radiologists to identify the severity of infection. While computerising this mechanism, deep learning techniques are found to be very useful in extracting relevant features from medical images. This can help in differentiating pneumonia, COVID19 pneumonia and x-rays of a healthy person. Computer aided methods for identifying the presence of pneumonia can help health providers to a great extent for quick diagnosis. The X-rays gathered from freely available datasets are used in this work to propose an architecture for categorising X-rays into pneumonia and covid pneumonia.  2022 International Journal on Recent and Innovation Trends in Computing and Communication. All rights reserved.</text>
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                <text>Unnisa S.; Vijayalakshmi A.</text>
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                <text>Unnisa S., Department of Computer Science, CHRIST Deemed to be University, Bangalore, India; Vijayalakshmi A., Department of Computer Science, CHRIST Deemed to be University, Bangalore, India</text>
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                <text>As the COVID-19 pandemic continues into its third year, there is accumulating evidence on the consequences of maternal infection. Emerging data indicate increased obstetrics risks, including maternal complications, preterm births, impaired intrauterine fetal growth, hypertensive disorders, stillbirth, gestational diabetes, and a risk of developmental defects in neonates. Overall, controversial concerns still exist regarding the potential for vertical transmission. Histopathological examination of the placenta can represent a useful instrument for investigation and can contribute significant information regarding the possible immunohistopathological mechanisms involved in developing unfavorable perinatal outcomes. Based on current evidence, SARS-CoV-2 infection can affect placental tissue by inducing several specific changes. The level of placental involvement is considered one of the determining factors for unfavorable outcomes during pregnancy due to inflammation and vascular injuries contributing to complex cascade immunological and biological events; however, available evidence does not indicate a strong and absolute correlation between maternal infection, placental lesions, and obstetric outcomes. As existing studies are still limited, we further explore the placenta at three different levels, using histology, immunohistochemistry, and molecular genetics to understand the epidemiological and virological changes observed in the ongoing pandemic.  2023 by the authors.</text>
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                <text>Tosto V., Centre of Perinatal and Reproductive Medicine, University of Perugia, Perugia, 06121, Italy; Meyyazhagan A., Centre of Perinatal and Reproductive Medicine, University of Perugia, Perugia, 06121, Italy, Perinatology Research Branch, Wayne State University, Detroit, 48202, MI, United States, Department of Life Sciences, CHRIST (Deemed to be University), Bengaluru, 560029, India; Alqasem M., Department of Obstetrics and Gynecology, Faculty of Medicine, Mutah University, Al-Karak, 61710, Jordan; Tsibizova V., PREIS International School, Firenze, 50122, Italy; Di Renzo G.C., Centre of Perinatal and Reproductive Medicine, University of Perugia, Perugia, 06121, Italy, PREIS International School, Firenze, 50122, Italy, Department of Obstetrics and Gynecology, IM Sechenov First State University, 19c1, Moscow, 119991, Russian Federation, Almazov National Medical Research Centre, St Petersburg, 197341, Russian Federation</text>
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