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                <text>Study of Influence of Combustion on DarcyBard Convection with Inherent Local Thermal Non-equilibrium Between Phases</text>
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                <text>Chebyshev spectral method; Chemical reaction; Combustion; Energy method; FrankKamenetskii number</text>
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                <text>This work deals with a DarcyBard convection problem in the presence of combustion and with local thermal non-equilibrium between the fluid and the solid phases. The effects of combustion and local thermal non-equilibrium on the onset of convection is studied in the linear and nonlinear regimes. Unlike all reported local thermal non-equilibrium problems reported so far, the present problem has a unique situation of having thermal non-equilibrium not only in the perturbed state but also in the basic state. Further, we observe that local thermal non-equilibrium does not, under any circumstance, lead to local thermal equilibrium except in an approximate sense when the combustion is quite weak. The effect of combustion is to advance the onset of convection compared to that in its absence. The effect of local thermal non-equilibrium is to reinforce the effect of combustion. In the presence of both these effects, sub-critical instability exists. The results are obtained numerically and have implication in practical porous medium convection problems.  2022, The Author(s), under exclusive licence to Springer Nature B.V.</text>
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                <text>Nandal R.; Siddheshwar P.G.; Neela D.</text>
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                <text>Transport in Porous Media, Vol-146, No. 3, pp. 741-769.</text>
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                <text>Springer Science and Business Media B.V.</text>
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                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1007/s11242-022-01886-1" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s11242-022-01886-1&lt;/a&gt;
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                <text>ISSN: 1693913; CODEN: TPMEE</text>
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                <text>Nandal R., Department of Mathematics, Centre for Mathematical Needs, Christ (Deemed to be University), Bengaluru, 560029, India; Siddheshwar P.G., Department of Mathematics, Centre for Mathematical Needs, Christ (Deemed to be University), Bengaluru, 560029, India; Neela D., Department of Mathematics, NIT Warangal, Telangana, Hanamkonda, 506004, India</text>
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                <text>Nandal, Reena; Revankar, Vinit Vinod; Ahmed, Eliyash</text>
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                <text>The impact of feedback mechanisms on RayleighBard penetrative convection in micro-polar fluids</text>
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                <text>Chaos, Solitons and Fractals;Volume;194;Issue;;Article No.;116228;</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.chaos.2025.116228" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.chaos.2025.116228&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/pages/publications/86000146170?origin=resultslist" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/pages/publications/86000146170?origin=resultslist&lt;/a&gt;</text>
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                <text>Nandal R., Department of Humanities and Sciences, Guru Nanak Institutions Technical Campus, Hyderabad, 501506, India; Revankar V.V., Department of Mathematics, Christ (Deemed to be University), Bengaluru, 560029, India; Ahmed E., Department of Humanities and Sciences, Guru Nanak Institutions Technical Campus, Hyderabad, 501506, India</text>
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                <text>This study examines the effects of feedback control and internal heat sources on the onset criterion of RayleighBard convection (RBC) in a horizontal Boussinesq micropolar fluid layer. A linear stability analysis, employing the Chebyshev pseudospectral method, is conducted to compute the eigenvalues and assess the stability of the system under varying conditions. The analysis considers several parameters, including heat conduction, coupling, couple stress, scalar controller gain, and internal heat sources. The findings reveal that the introduction of internal heat sources destabilizes the system, while the scalar controller gain significantly delays the onset of convection, thereby enhancing system stability. Additionally, it is demonstrated that an increase in both the coupling and heat conduction parameters contributes positively to system stabilization, whereas an increase in the couple stress parameter hastens the onset of convection. Notably, the investigation indicates that the system demonstrates greater stability when the boundary is heated from above as opposed to from below. These results provide crucial insights for the control of heat transfer in micropolar fluids and suggest that optimizing the scalar controller gain, along with careful tuning of other system parameters, can significantly enhance stability. The implications of this research are substantial for the design of efficient fluid dynamical systems, particularly in scenarios requiring precise control over temperature, pressure, and flow, such as those encountered in chemical processing, power generation, and manufacturing.  2025 Elsevier Ltd</text>
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                <text>Convection; Feedback control; Internal heat source/sink; Micro-polar fluid; ProportionalIntegralDerivative</text>
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                <text>Elsevier Ltd</text>
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                <text>THE MONOCHROME TAPESTRY OF SOLO EXISTENTIAL TRAVEL IN 21ST CENTURY HOLLYWOOD: A CRITICAL ANALYSIS</text>
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          <element elementId="49">
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                <text>embodiment; existentialism; Hollywood; racism; travel films</text>
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                <text>Solo existential travel films of Hollywood enjoyed their heyday in the first two decades of the 21st century with most of them emerging as cult classics that have inspired millions to venture out on backpacking trips. The solo travel beyond the margins of a materialistic society that promises the traveller some existential clarity, in theory, is a truly existential endeavour that lets the individual exercise their Sartrean freedom and responsibility. But a quick survey of the films produced by Hollywood over the decades reveals a rather stealthy racism within. Solo existential travellers in Hollywood films of the 21st century have predominantly been white Americans. Despite being a powerful tool to create ones meaning and authentic identity in society, solo travel is still an instrument of self-redemption that is kept away from people of colour, especially the black American community. The paper will look into the significance, relevance and consequences of this seemingly invisible omission. From an embodiment perspective, the paper will attempt to analyze the absence of racial diversity in the genre to shed light on why the coloured body is to find its space in Hollywoods tapestry of solo existential travel. Copyright  2024 Namitha Nandan.</text>
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                <text>Nandan N.</text>
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                <text>Studies in Linguistics, Culture and FLT, Vol-12, No. 2, pp. 50-61.</text>
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                <text>Konstantin Preslavsky University of Shumen</text>
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                <text>&lt;a href="https://doi.org/10.46687/QIPN2270" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.46687/QIPN2270&lt;/a&gt;
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 2534952X</text>
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                <text>English</text>
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                <text>Nandan N., Christ University, Bangalore, India</text>
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                <text>Cyanogenic glycosides: A sustainable carbon and nitrogen source for developing resilient Janus reversible oxygen electrocatalysts for metal-air batteries</text>
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                <text>Most of the transition metal based heteroatom doped carbon electrocatalysts, utilizes the fossil fuel derived commercially available precursors as source of nitrogen and carbon which may question our environmental generosity. Herein, we have developed Ni-based efficient bifunctional electrocatalysts using apple seeds (that contains cyanogenic glycosides) as the precursor for nitrogen and carbon. With tuning the temperature, we were able to optimize the nitrogen doping up to ?3 at.%. The optimized electrocatalyst catalyses the oxygen reduction reaction (ORR) process with muted peroxide generation (for 0.7500.1 V the % HO2 ? generation ?3 - 2%), preferential 4e? reduction pathways (n ? 3.93 to 3.98 in 0.750.1 V range) and electron transfer via inner-sphere electron transfer mechanism which ensures the maximum utilization of instituted active centres owing to the direct interaction of reactant species. Alike to ORR, the superior oxygen evolution reaction (OER) performance with smaller Eonset, EJ=10, Tafel slope and enduring accelerated stability test advocates its potential as a bifunctional oxygen electrocatalyst. Moreover, smaller potential gap ?E (EJ10_OER - E1/2_ORR) of 0.845 V further warrants the energy efficient OER/ORR process. A porotype of Al-air battery system using our catalysts as oxygen electrode and chocolate wafer as anode material is well capable of powering the light emitting diodes. This study hopefully opens a new avenue to explore cyanogenic glycosides plants product to develop multifunctional electrocatalysts.  2019 Elsevier Ltd</text>
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                <text>Nandan R.; Nanda S.</text>
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                <text>Nandan R., Materials Research Centre, Indian Institute of Science, Bangalore, 560012, India, Japan Advanced Institute of Science and Technology, 1-Ashaidai, Nomi City, 923-1211, Ishikawa, Japan; Nanda S., Christ (Deemed to be university), Bangalore, 560029, India</text>
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                <text>Nicotiana genus: a green and sustainable source for designing of nitrogen-rich efficient carbon nanocomposites for the hydrogenation of nitrophenol and non-enzymatic glucose sensing</text>
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                <text>Electrochemical glucose sensing; Nitrogen-doped carbon nanocomposites; Nitrophenol reduction; Tobacco; Transition metal</text>
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                <text>Transition metals based nitrogen-doped carbon nanocomposites have been envisioned as a potential replacement for precious metal-based nanostructures to catalyze a variety of reactions. Herein, we report the synthesis of a group of nitrogen-doped carbon nanocomposites derived from the Nicotiana genus family plant, e.g. tobacco, a highly nicotine rich entity, and iron nitrate mixture followed by their exploitation for the reduction of 4-nitrophenol (4-NP) and non-enzymatic electrochemical glucose sensing. The controlled study suggests that the pyrolysis of tobacco results in ?7 at.% of nitrogen doping, an important heteroatom to enhance the catalytic efficiency of nanocomposites. The kinetics of the reduction of 4-NP follow a pseudo-first-order reaction. The time constant is found to increase with the Fe content in the composite owing to the formation of FeNx centers. The separation of a catalyst with the aid of a magnetic field offers a huge add-on to vouch for the recovery of these catalysts. Along with the display of appealing catalytic reduction, its application to non-enzymatic electrochemical glucose sensing is also demonstrated. Overall, the Nicotiana genus can be used as nitrogen-carbon precursors for designing of targeted N-doped carbon-based composites that could be exploited for various applications.  2021 Elsevier Ltd</text>
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                <text>Materials Today Sustainability, Vol-17</text>
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                <text>Nandan R., Materials Research Centre, Indian Institute of Science, Bangalore, 560012, India; Nanda S., Christ (Deemed to Be University), Bangalore, 560029, India; Bisen O.Y., Materials Research Centre, Indian Institute of Science, Bangalore, 560012, India; Raza W., Materials Research Centre, Indian Institute of Science, Bangalore, 560012, India; Nanda K.K., Materials Research Centre, Indian Institute of Science, Bangalore, 560012, India</text>
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                <text>Nandan, C.; Yadav, Pinnika Syam</text>
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                <text>The Rise of Explainable and Generative AIDriven Cyber and Information Security;pp.149-185</text>
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                <text>Nandan C., Christ University, India; Yadav P.S., India</text>
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                <text>Generative AI is transforming cybersecurity, introducing autonomous, adaptive threats that challenge traditional defences. Capable of producing realistic content, mimicking behaviour, and scaling deceptive attacks, GAI reshapes phishing, malware, deepfakes, and social engineering. Vulnerabilities in AI- generated code and synthetic data demand proactive, AI- driven countermeasures. This chapter explores XAIs role in transparency and trust, highlights emerging technologies for intrusion detection and predictive modelling, and emphasises ethical design, verification, and collaboration to build resilient infrastructures against next- generation intelligent cyber threats.  2026 by IGI Global Scientific Publishing.</text>
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                <text>Nandan, Shiva; Srivastava, Shilpa; Mehndiratta, Vandana; Agarwal, Ritu; Singh, Meenu</text>
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                <text>Multi Disease Identification in Tomato Plant using CNN and SVM</text>
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                <text>2025 5th International Conference on Advancement in Electronics and Communication Engineering, AECE 2025;pp.43-49</text>
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                <text>Nandan S., Christ University, Department of Computer Science, Bengaluru, India; Srivastava S., Christ University, Department of Computer Science, Bengaluru, India; Mehndiratta V., Christ University, Department of Computer Science, Bengaluru, India; Agarwal R., Raj Kumar Goel Institute of Technology, Ghaziabad, India; Singh M., Vsb - Technical University of Ostrava, Ostrava, Czech Republic</text>
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                <text>Tomato is a major trade crop; it is among the most widely consumed crops in daily life. Crop diseases reduce not only the quality of the crops but also their amount of production, thus, detection and identification of the specific diseases is of great importance. Diseases like the Mosaic virus, Bacterial Spot, and Yellow Leaf Curl Virus infect the tomato plant. The advanced detection and classification techniques are mainly employed in the diagnosis of these diseases. This helps in informing the farmers about the types of diseases that attack their crops. In this study, independent CNN and SVM classifiers built to classify the diseases. The CNN model extracts feature such as color and leaf edges from input images- then, it proceeds to classification. For SVM, PCA is applied for feature reduction in order to enhance performance and accuracy before classification. A dataset sourced from plant village has been utilized to train the network CNN and SVM. The proposed neural network model has been applied to categorize 4 types of tomato leaf conditions: one healthy and three diseased types of tomato leaves. The results show that the SVM approach achieves a classification accuracy of 94.33%, whereas the CNN model has slightly higher accuracy of 95.17%.  2025 IEEE.</text>
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                <text>Nandhikkara J.</text>
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                <text>Journal of Dharma, Vol-45, No. 2, pp. 161-166.</text>
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                <text>Social media suicidal ideation has become a serious public health issue that requires creative solutions for early diagnosis and management. An extensive investigation of machine-learning techniques for the automated detection of suicidal thoughts in internet postings is presented in this research. We start off by talking about the concerning increase in information on social media about mental health issues and the pressing need to create efficient monitoring mechanisms. The research explores the several methods used to identify the subtleties of suicidal thought conveyed in text, photographs, and audio-visual information. These methods include sentiment analysis, natural language processing, and deep learning models. We look at the problems with unbalanced data, privacy issues, and the moral ramifications of keeping an eye on user-generated material. We also go over the research's practical ramifications, such as the creation of instruments for real-time monitoring and crisis response techniques. Through comprehensive experiments and benchmarking, we demonstrate the potential of machine learning in providing timely support for those in need, thereby reducing the impact of suicidal ideation on society.   2023 IEEE.</text>
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                <text>Nandhini B.; Jayanthi; Shrinivas K.; Vinod P.</text>
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                <text>ISBN: 979-835039324-8</text>
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                <text>Nandhini B., School of Management Studies, Bannari Amman Institute of Technology, Sathyamangalam, India; Jayanthi, Hindusthan College of Engineering and Technology, Department of Management Sciences, Coimbatore, India; Shrinivas K., School of Business and Management, Christ (Deemed to Be University), Bangalore, India; Vinod P., School of Business and Management, Christ (Deemed to Be University), Bangalore, India</text>
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                <text>Review on the Biogenesis of Platelets in Lungs and Its Alterations in SARS-CoV-2 Infection Patients</text>
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              <elementText elementTextId="195874">
                <text>Thrombocytes (platelets) are the type of blood cells that are involved in hemostasis, thrombosis, etc. For the conversion of megakaryocytes into thrombocytes, the thrombopoietin (TPO) protein is essential which is encoded by the TPO gene. TPO gene is present in the long arm of chromosome number 3 (3q26). This TPO protein interacts with the c-Mpl receptor, which is present on the outer surface of megakaryocytes. As a result, megakaryocyte breaks into the production of functional thrombocytes. Some of the evidence shows that the megakaryocytes, the precursor of thrombocytes, are seen in the lungs interstitium. This review focuses on the involvement of the lungs in the production of thrombocytes and their mechanism. A lot of findings show that viral diseases, which affect the lungs, cause thrombocytopenia in human beings. One of the notable viral diseases is COVID-19 or severe acute respiratory syndrome caused by SARS-associated coronavirus 2 (SARS-CoV-2). SARS-CoV-2 caused a worldwide alarm in 2019 and a lot of people suffered because of this disease. It mainly targets the lung cells for its replication. To enter the cells, these virus targets the angiotensin-converting enzyme-2 (ACE-2) receptors that are abundantly seen on the surface of the lung cells. Recent reports of COVID-19-affected patients reveal the important fact that these peoples develop thrombocytopenia as a post-COVID condition. This review elaborates on the biogenesis of platelets in the lungs and the alterations of thrombocytes during the COVID-19 infection. 2023, SAGE Publications Ltd. All rights reserved.</text>
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                <text>Nandhini B.; Sureshraj Y.; Kaviya M.; Sangeetha T.; Bharathi K.; Balamuralikrishnan B.; Manikantan P.; Arun M.; Haripriya K.B.; Karthika P.; Kalidass S.; Anand A.V.</text>
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                <text>JRAAS - Journal of the Renin-Angiotensin-Aldosterone System, Vol-2023</text>
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                <text>&lt;a href="https://doi.org/10.1155/2023/7550197" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1155/2023/7550197&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149619981&amp;amp;doi=10.1155%2F2023%2F7550197&amp;amp;partnerID=40&amp;amp;md5=a49c6512b1dde63e23b6727f2c2c47a0" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85149619981&amp;amp;doi=10.1155%2f2023%2f7550197&amp;amp;partnerID=40&amp;amp;md5=a49c6512b1dde63e23b6727f2c2c47a0&lt;/a&gt;</text>
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                <text>All Open Access; Green Open Access; Hybrid Gold Open Access</text>
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                <text>ISSN: 14703203; PubMed ID: 36891250; CODEN: JRAAA; LS; 2023-2024; Vol-1; 1126-1135</text>
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                <text>Nandhini B., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, India; Sureshraj Y., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, India; Kaviya M., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, India; Sangeetha T., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, India; Bharathi K., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, India; Balamuralikrishnan B., Department of Food Science and Biotechnology, Sejong University, Seoul, South Korea; Manikantan P., Department of Life Sciences Christ Deemed to be University, Bengaluru, India; Arun M., Department of Life Sciences Christ Deemed to be University, Bengaluru, India; Haripriya K.B., Department of Life Sciences Christ Deemed to be University, Bengaluru, India; Karthika P., Department of Zoology, Avinashilingam Institute for Home Science and Higher Education for Women, Tamil Nadu, Coimbatore, India; Kalidass S., Department of Animal Science, Manonmaniam Sundaranar University, Tamil Nadu, Tirunelveli, India; Anand A.V., Department of Human Genetics and Molecular Biology, Bharathiar University, Tamil Nadu, Coimbatore, India</text>
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                <text>Improving maternal health by predicting various pregnancy-related abnormalities using machine learning algorithms</text>
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                <text>Over the past few decades, artificial intelligence has been showing its high relevance and potential in a vast number of applications, particularly in the healthcare domain. Having a healthy pregnancy is one of the best ways to promote a healthy birth. Getting early and regular prenatal care improves the chances of a healthy pregnancy. Complications involved in the individual's pregnancy need to be predicted on time accurately. AI can help clinicians to make decisions by assisting them in decision-making. In this regard, the objective of this chapter is to provide a detailed survey of various pregnancy-related abnormalities; and to explore various machine learning algorithms to classify/predict pregnancy-related abnormalities with higher accuracy. A generic framework that focuses more on classifying various features into normal and abnormal, and to be monitored patients to provide support and care during an emergency.  2023 by IGI Global. All rights reserved.</text>
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              <elementText elementTextId="150975">
                <text>Nandhini K.; Jayapriya J.; Vinay M.</text>
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                <text>Technological Tools for Predicting Pregnancy Complications, pp. 303-326.</text>
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                <text>IGI Global</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175662368&amp;amp;doi=10.4018%2F979-8-3693-1718-1.ch018&amp;amp;partnerID=40&amp;amp;md5=abec3ae26a063b352b163b48537ac383" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85175662368&amp;amp;doi=10.4018%2f979-8-3693-1718-1.ch018&amp;amp;partnerID=40&amp;amp;md5=abec3ae26a063b352b163b48537ac383&lt;/a&gt;</text>
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                <text>ISBN: 979-836931719-8; 979-836931718-1</text>
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                <text>Nandhini K., Central University of Tamil Nadu, India; Jayapriya J., CHRIST University (Deemed), India; Vinay M., CHRIST University (Deemed), India</text>
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                <text>An Early-Stage Diabetes Symptoms Detection Prototype using Ensemble Learning</text>
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                <text>Diabetes; Ensemble Learning; Healthcare; Machine Learning; Smart App</text>
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            <description>An account of the resource</description>
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                <text>Diabetes is one of the most increasing health issues that the whole world is facing. Recent research has shown that diabetes is spreading quickly in India. Having more than 77 million sufferers, India is actually regarded as the diabetes capital of the world. The lifestyle and eating patterns of people who move from rural to urban settings alter, which raises the prevalence of diabetes. Diabetes has been linked to consequences like vision loss, renal failure, nerve damage, cardiovascular disease, foot ulcers, and digestive issues. Diabetes can harm the blood arteries and neurons in a variety of organs. FPG (Flaccid Plasma Glucose) is a popular test that is done to find out whether a person is a diabetic patient or not. However, not all people consistently take medication and neither monitor their blood sugar levels on a regular basis. Early detection of this disease is also an important thing that people usually don't do. Technology these days has emerged a lot in the healthcare zone. Many prototypes have already been made for the detection of diabetes. The prototype discussed in this paper is an ensemble learning approach for the detection of diabetes in a very early stage. Ensemble learning which includes the use of multiple model prediction has been used to make the outcome stronger and more trustworthy. The overall accuracy achieved by the model is 96.54%. XGBoost also records the minimal execution time of 2.77 seconds only.   2023 IEEE.</text>
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                <text>Nandi A.; Pal S.; Mishra A.; Sharma V.; Mishra S.; Alkhayyat A.</text>
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                <text>Proceedings of International Conference on Contemporary Computing and Informatics, IC3I 2023, pp. 507-512.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/IC3I59117.2023.10397726" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/IC3I59117.2023.10397726&lt;/a&gt;
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              <elementText elementTextId="171621">
                <text>Restricted Access</text>
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                <text>ISBN: 979-835030448-0</text>
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                <text>Nandi A., Kalinga Institute of Industrial Technology, Deemed to Be University, Bhubaneswar, India; Pal S., Kalinga Institute of Industrial Technology, Deemed to Be University, Bhubaneswar, India; Mishra A., Kalinga Institute of Industrial Technology, Deemed to Be University, Bhubaneswar, India; Sharma V., CHRIST (Deemed to Be University), Computer Science Department, Delhi NCR, India; Mishra S., Kalinga Institute of Industrial Technology, Deemed to Be University, Bhubaneswar, India; Alkhayyat A., College of Technical Engineering, The Islamic University, Najaf, Iraq</text>
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              <elementText elementTextId="194398">
                <text>Dolastatins and their analogues present a compelling landscape of potential natural and synthetic anticancer drug candidates</text>
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          <element elementId="49">
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              <elementText elementTextId="194399">
                <text>Anticancer activity; Apoptosis; Cytotoxicity; Dolastatins; Marine-derived compounds; Molecular mechanisms; Signaling pathways; Synthetic analogues</text>
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                <text>Human cancer remains a leading cause of global mortality. Traditional treatment methods, while effective are often associated with substantial side effects, high technical requirements, and considerable expenses. Recently, anticancer peptides, such as dolastatin-type peptides naturally found in marine mollusc Dolabella auricularia, have gained attention due to their enhanced characteristics and specific targeting of cancer cells with minimal toxicity to normal cells. This review aims to provide a comprehensive summary of the anticancer activities of natural dolastatins and synthetic analogues over the past 35 years, focusing on their utilization in advancing cancer treatment strategies. This updated review encompasses a detailed analysis of numerous studies demonstrating the cytotoxic effects of dolastatins and their synthetic analogues on various human tumour cell lines. The analysis includes investigations into their ability to activate apoptosis pathways, inhibit cell cycle progression, and indirectly limit inflammation and angiogenesis in tumours. Both natural dolastatins and synthetic analogues have demonstrated significant anticancer properties through a variety of mechanisms in vitro and in vivo pharmacological studies. Some have even advanced to clinical trials, either alone or in combination with other agents, and have shown promising outcomes. The biological activities of dolastatins and their synthetic analogues offer a promising path in the development of more effective and sustainable anticancer drugs. Their specific action on cancer cells and relative non-toxicity to normal cells highlight their potential as superior cancer therapeutic agents. The current study provides a platform for the most recent preclinical and clinical research on dolastatins and their analogues. Further research into these marine peptides may contribute to the development of sustainable and efficient treatment models for cancer, filling a significant gap in the current cancer therapeutic portfolio. 2023 The Authors</text>
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              <elementText elementTextId="194401">
                <text>Nandi S.; Khatua S.; Nag A.; Sen S.; Chakraborty N.; Naskar A.; Acharya K.; Mekky R.H.; Contreras M.D.M.; Calina D.; Dini I.; Sharifi-Rad J.</text>
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            <elementTextContainer>
              <elementText elementTextId="194402">
                <text>Current Research in Biotechnology, Vol-7</text>
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              <elementText elementTextId="194403">
                <text>Elsevier B.V.</text>
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                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.crbiot.2023.100167" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.crbiot.2023.100167&lt;/a&gt; &lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183770221&amp;amp;doi=10.1016%2Fj.crbiot.2023.100167&amp;amp;partnerID=40&amp;amp;md5=a0cb74f5c0920c7b082dd880d1888232" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183770221&amp;amp;doi=10.1016%2fj.crbiot.2023.100167&amp;amp;partnerID=40&amp;amp;md5=a0cb74f5c0920c7b082dd880d1888232&lt;/a&gt;</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="194406">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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                <text>ISSN: 25902628|LS;  2023-2024;  Vol-1;  0063-0114</text>
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            <description>A language of the resource</description>
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              <elementText elementTextId="194409">
                <text>English</text>
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
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              <elementText elementTextId="194411">
                <text>Nandi S., Molecular and Applied Mycology and Plant Pathology Laboratory, Department of Botany, University of Calcutta, 35, Ballygung Circular Road, Kolkata, India; Khatua S., Department of Botany, Faculty of Science, University of Allahabad, Uttar Pradesh, Prayagraj, 211002, India; Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore Central Campus, Karnataka, Bangalore, India; Sen S., Department of Botany, Fakir Chand College, Diamond Harbour, South 24-Parganas, Kolkata, India; Chakraborty N., Department of Botany, Scottish Church College, Kolkata, India; Naskar A., Molecular and Applied Mycology and Plant Pathology Laboratory, Department of Botany, University of Calcutta, 35, Ballygung Circular Road, Kolkata, India; Acharya K., Molecular and Applied Mycology and Plant Pathology Laboratory, Department of Botany, University of Calcutta, 35, Ballygung Circular Road, Kolkata, India; Mekky R.H., Department of Pharmacognosy, Faculty of Pharmacy, Egyptian Russian University, Badr City, Cairo-Suez Road, Cairo, 11829, Egypt; Contreras M.D.M., Department of Chemical, Environmental and Materials Engineering, Universidad de Ja, Campus Las Lagunillas, s/n, 23071 Ja, Spain; Calina D., Department of Clinical Pharmacy, University of Medicine and Pharmacy of Craiova, Craiova, 200349, Romania; Dini I., Department of Pharmacy, University of Naples Federico II, Via Domenico Montesano 49, Napoli, 80131, Italy; Sharifi-Rad J., Facultad de Medicina, Universidad del Azuay, Cuenca, Ecuador</text>
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      <name>Review</name>
      <description>Faculty Publications- Reviews</description>
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          <element elementId="50">
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            <elementTextContainer>
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                <text>Anticancer activity and other biomedical properties of ?-sitosterol: Bridging phytochemistry and current pharmacological evidence for future translational approaches</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="193814">
                <text>anticancer activity; biomedical properties; pharmacology; phytochemistry; translational research; ?-sitosterol</text>
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            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="193815">
                <text>Sterols, including ?-sitosterol, are essential components of cellular membranes in both plant and animal cells. Despite being a major phytosterol in various plant materials, comprehensive scientific knowledge regarding the properties of ?-sitosterol and its potential applications is essential for scholarly pursuits and utilization purposes. ?-sitosterol shares similar chemical characteristics with cholesterol and exhibits several pharmacological activities without major toxicity. This study aims to bridge the gap between phytochemistry and current pharmacological evidence of ?-sitosterol, focusing on its anticancer activity and other biomedical properties. The goal is to provide a comprehensive understanding of ?-sitosterol's potential for future translational approaches. A thorough examination of the literature was conducted to gather relevant information on the biological properties of ?-sitosterol, particularly its anticancer therapeutic potential. Various databases were searched, including PubMed/MedLine, Scopus, Google Scholar, and Web of Science using appropriate keywords. Studies investigating the effects of ?-sitosterol on different types of cancer were analyzed, focusing on mechanisms of action, pharmacological screening, and chemosensitizing properties. Modern pharmacological screening studies have revealed the potential anticancer therapeutic properties of ?-sitosterol against various types of cancer, including leukemia, lung, stomach, breast, colon, ovarian, and prostate cancer. ?-sitosterol has demonstrated chemosensitizing effects on cancer cells, interfering with multiple cell signaling pathways involved in proliferation, cell cycle arrest, apoptosis, survival, metastasis invasion, angiogenesis, and inflammation. Structural derivatives of ?-sitosterol have also shown anti-cancer effects. However, research in the field of drug delivery and the detailed mode of action of ?-sitosterol-mediated anticancer activities remains limited. ?-sitosterol, as a non-toxic compound with significant pharmacological potential, exhibits promising anticancer effects against various cancer types. Despite being relatively less potent than conventional cancer chemotherapeutics, ?-sitosterol holds potential as a safe and effective nutraceutical against cancer. Further comprehensive studies are recommended to explore the biological properties of ?-sitosterol, including its mode of action, and develop novel formulations for its potential use in cancer treatment. This review provides a foundation for future investigations and highlights the need for further research on ?-sitosterol as a potent superfood in combating cancer.  2023 John Wiley &amp;amp; Sons Ltd.</text>
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            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="193816">
                <text>Nandi S.; Nag A.; Khatua S.; Sen S.; Chakraborty N.; Naskar A.; Acharya K.; Calina D.; Sharifi-Rad J.</text>
              </elementText>
            </elementTextContainer>
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="193817">
                <text>Phytotherapy Research, Vol-38, No. 2, pp. 592-619.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="45">
            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="193818">
                <text>John Wiley and Sons Ltd</text>
              </elementText>
            </elementTextContainer>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="193819">
                <text>2024-01-01</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>&lt;a href="https://doi.org/10.1002/ptr.8061" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/ptr.8061&lt;/a&gt;
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                <text>Nandi S., University of Calcutta, Kolkata, India; Paul A.M., Christ (Deemed to be University), Bangalore, Karnataka, India; Nag A., Christ (Deemed to be University), Bangalore, Karnataka, India; Acharya K., University of Calcutta, Kolkata, India</text>
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                <text>anticancer mechanisms; apoptosis; glycoalkaloids; Solanaceae; ?-Solanine</text>
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                <text>Cancer remains a critical global health challenge, with limited progress in reducing mortality despite advancements in diagnosis and treatment. The growing resistance of tumors to existing chemotherapy exacerbates this burden. In response, the search for new anticancer compounds from plants has intensified, given their historical success in yielding effective treatments. This review focuses on ?-solanine, a glycoalkaloid primarily derived from potato tubers and nightshade family plants, recognized for its diverse biological activities, including anti-allergic, antipyretic, anti-inflammatory, anti-diabetic, and antibiotic properties. Recently, ?-solanine has gained attention as a potential anticancer agent. Utilizing resources like PubMed/MedLine, ScienceDirect, Web of Science, Scopus, the American Chemical Society, Google Scholar, Springer Link, Wiley, and various commercial websites, this review consolidates two decades of research on ?-solanine's anticancer effects and mechanisms against nine different cancers, highlighting its role in modulating various signaling pathways. It also discusses ?-solanine's potential as a lead compound in cancer therapy. The abundant availability of potato peel, often discarded as waste or sold cheaply, is suggested as a sustainable source for large-scale ?-solanine extraction. The study concludes that ?-solanine holds promise as a standalone or adjunctive cancer treatment. However, further research is necessary to optimize this lead compound and mitigate its toxicity through various strategies.  2024 The Authors. Food Science &amp;amp; Nutrition published by Wiley Periodicals LLC.</text>
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                <text>Nandi S., Molecular and Applied Mycology and Plant Pathology Laboratory, Department of Botany, University of Calcutta, Kolkata, India; Sikder R., Molecular and Applied Mycology and Plant Pathology Laboratory, Department of Botany, University of Calcutta, Kolkata, India; Nag A., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Khatua S., Department of Botany, Faculty of Science, University of Allahabad, Uttar Pradesh, Prayagraj, India; Sen S., Department of Botany, Fakir Chand College, Kolkata, India; Chakraborty N., Department of Botany, Scottish Church College, Kolkata, India; Naskar A., Molecular and Applied Mycology and Plant Pathology Laboratory, Department of Botany, University of Calcutta, Kolkata, India; Zhakipbekov K., Department of Organization and Management and Economics of Pharmacy and Clinical Pharmacy, Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan; Acharya K., Molecular and Applied Mycology and Plant Pathology Laboratory, Department of Botany, University of Calcutta, Kolkata, India; Habtemariam S., Pharmacognosy Research &amp;amp; Herbal Analysis Services UK, Kent, United Kingdom; ArslanAte??ahin D., Department of Plant and Animal Production, Baskil Vocational School, F?rat University, Elaz?g, Turkey; Goloshvili T., Department of Plant Physiology and Genetic Resources, Institute of Botany, Ilia State University, Tbilisi, Georgia; AhmedAldahish A., Department of Pharmacology, College of Pharmacy, King Khalid University, Abha, Saudi Arabia; Sharifi-Rad J., Department of Biomedical Sciences, College of Medicine, Korea University, Seoul, South Korea; Calina D., Department of Clinical Pharmacy, University of Medicine and Pharmacy of Craiova, Craiova, Romania</text>
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                <text>Nandi P., Department of Computer Science, Christ University, Bengaluru, India; Sen R., Department of Computer Science, Christ University, Bengaluru, India; Sil R., Department of Computer Science &amp;amp; Engineering, Brainware University, Kolkata, India; Pal N., Department of Computer Science &amp;amp; Engineering, Brainware University, Kolkata, India; Tibrewala A., Sr., IEEE, United States</text>
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                <text>The research compares blockchain technologies in the healthcare industry, focusing on data security, decentralization, and transparency for managing data. Traditional healthcare systems face challenges, notably data breaches, inefficiencies in maintaining records, less interoperability, and issues regarding patient privacy. The solution with the use of the distributed nature of blockchain as an advantage is to provide a secure, decentralized space to store and manage medical data that is sensitive for creating a transparent, tamper-proof ledger accessible only by individuals or parties that are authorized. This paper highlights a comprehensive study of several blockchain architectures and applications in industry, such as electronic health records (EHRs), securing patient identity, tracking of drug supply chain, and secure medical data sharing. The approaches enhance data security and provide a transparent and trustworthy record of all data within a system. After analyzing numerous mechanisms and encryption approaches and combining blockchain with emerging technologies such as artificial intelligence (AI) and the Internet of Things (IoT), this chapter surveys blockchains prospect of enhancing healthcare efficiency while holding security and regulatory compliance. Likewise, the chapter discusses the restrictions of blockchain, including scalability, computational expenses, and lawful challenges, providing an understanding of forthcoming study trends and adoption methods for blockchain-based healthcare solutions.  2026 Anindya Nag, Md. Mehedi Hassan, Riya Sil and Asif Karim.</text>
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