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                <text>Image Analysis of MRI-based Brain Tumor Classification and Segmentation using BSA and RELM Networks</text>
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                <text>Brain tumor segmentation plays a crucial role in medical image analysis. Brain tumor patients considerably benefit from early discovery due to the increased likelihood of a successful outcome from therapy. Due to the sheer volume of MRI images generated in everyday clinical practice, manually isolating brain tumors for cancer diagnosis is a challenging task. Automatic segmentation of images of brain tumors is essential. This system aimed to synthesize previous methods for BSA-RELM-based brain tumor segmentation. The proposed methodology rests on four fundamental pillars: preprocessing, segmentation, feature extraction, and model training. Filtering, scaling, boosting contrast, and sharpening are all examples of preprocessing techniques. When doing segmentation, a clustering technique based on Fuzzy Clustering Means (FCM) is used to breakdown the overall dataset into numerous subsets. The proposed approach used the region of filling for feature extraction. After that, a BSA-RELM is used to train the models with the input features. The proposed technique outperforms BSA and RELM, two of the most common alternatives. There was a 98.61 percent success rate with the recommended method.  2023 IEEE.</text>
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                <text>Saranya R.; Pushpakumar R.; Srinivasan P.; Aparna N.; Karthika K.; Chauhan A.</text>
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                <text>2nd International Conference on Automation, Computing and Renewable Systems, ICACRS 2023 - Proceedings, pp. 523-528.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 979-835034023-5</text>
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                <text>Saranya R., Department of Computer science with Data Analytics, PSG College of Arts and Science, Coimbatore, India; Pushpakumar R., Department of Information Technology, Vel Tech Rangarajan Dr.Sagunthala R&amp;amp;D Institute of Science and Technology, Tamil Nadu, Chennai, India; Srinivasan P., Department of ECE, Sona College of Technology, Tamilnadu, Salem, India; Aparna N., Department of Biomedical Engineering, Dhaanish Ahmed Institute of Technology, Tamil Nadu, Veerappanur, India; Karthika K., Civil Engineering, Prince Shri Venkateshwara Padmavathy Engineering College, Chennai, India; Chauhan A., Department of Life Sciences, School of Sciences, CHRIST (Deemed to be university), Karnataka, Bengaluru, India</text>
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                <text>Deterioration effects; Photonic crystals; Submarine pictures</text>
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                <text>To handle submerged action recognition, researchers must first understand the fundamental principles of photonic crystals mostly in the liquid phase. Deterioration effects are produced by the mediums physical attributes, which are not present in typical pictures captured in the air because light is increasingly reduced as it passes through water, submarine pictures are characterized by low readability. As a consequence, the sceneries are poorly contrasting and murky. Its vision capability is limited to approximately twenty meters in clear blue water and five meters or less in muddy water due to light dispersion. Absorbing (the removal of incident light) and dispersion are the two factors that produce light degradation. So the actual quality of submersible digital imaging is influenced by the destructive interference processes of light in water. Longitudinal scattered (haphazardly diverted light traveling from objects to the cameras) causes picture details to be blurred.  2021, SciTechnol, All Rights Reserved.</text>
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                <text>Reddy P.C.S.; Pradeepa M.; Venkatakiran S.; Walia R.; Saravanan M.; Pillai V.J.</text>
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                <text>Journal of Nuclear Energy Science and Power Generation Technology, Vol-10, No. 9</text>
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                <text>Reddy P.C.S., Department of Computer Science and Engineering, CMR College of Engineering and Technology, Hyderabad, TS state, India; Pradeepa M., School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India; Venkatakiran S., Department of Electronics and Communication Engineering, Sri Venkatesa Perumal College of Engineering and Technology, Puttur, AP, India; Walia R., Department of Electrical Engineering, Model Institute of Engineering and Technology, Jammu, India; Saravanan M., Department of Computer Science, KR College of Arts and Science, Kovilpatti, Tamilnadu, India; Pillai V.J., Department of Electronics and Communication Engineering, Christ University, Kanmanike, Kumbalagodu, Mysore Road, Bangalore, Karnataka, India</text>
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                <text>Patent Number: 202041010986, Application: Dr.K.Suresh Kumar.&#13;
Web Security invention has grownup extremely vital over the years as the internet has become the place for the behavior of business in today's world. Numerous attacks stated worldwide that hamper web security by creating a substantial threat to appreciate user data. One amid them is a phishing attack. It is a technique by which an attacker attempts to snip vital data such as user names, PINs, and other private facts by constructing fake websites and cover them as if they remained legitimate ones.</text>
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                <text>S K, Aruna.</text>
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                <text>Intellectual Property India</text>
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                <text>Image contrast enhancement by scaling reconstructed approximation coefficients using SVD combined masking technique</text>
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                <text>Discrete wavelet transform; Masking technique; Singular value decomposition; Standard intensity deviation clipped sub image histogram equalization</text>
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                <text>The proposed method addresses the general issues of image contrast enhancement. The input image is enhanced by incorporating discrete wavelet transform, singular value decomposition, standard intensity deviation based clipped sub image histogram equalization and masking technique. In this method, low pass filtered coefficients of wavelet and its scaled version undergoes masking approach. The scale value is obtained using singular value decomposition between reconstructed approximation coefficients and standard intensity deviation based clipped sub image histogram equalization image. The masking image is added to the original image to produce a maximum contrast-enhanced image. The supremacy of the proposed method tested over other methods. The qualitative and quantitative analysis is used to justify the performance of the proposed method.  2015 The Science and Information (SAI) Organization Limited.</text>
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                <text>Sandeepa K.S.; Jagadale B.N.; Naragund M.N.; Bhat J.S.; Panchaxri</text>
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                <text>International Journal of Advanced Computer Science and Applications, Vol-9, No. 2, pp. 127-132.</text>
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                <text>Sandeepa K.S., Department of Electronics, Kuvempu University, Karnataka, India; Jagadale B.N., Department of Electronics, Kuvempu University, Karnataka, India; Naragund M.N., Department of Electronics, Christ University, Karnataka, India; Bhat J.S., Department of Physics, Karnataka University, Karnataka, India; Panchaxri, Department of Electronics, SSA Govt First Grade College, Ballari, Karnataka, India</text>
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                <text>Image Encryption and Compression using Embedding Technique </text>
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                <text> Varghese  Jithy</text>
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                <text>Encryption is used to securely transmit data in open networks. Each type of data 

has its own features; therefore different techniques should be used to protect confidential 

image  data  from  unauthorized access. Most  of  the  available  encryption algorithms  are 

mainly used for textual data and may not be suitable for multimedia data such as images.





For  secure  transmission, various  compression and encryption techniques  are 

proposed to satisfy a fast and secure transmission. However these two techniques must be 

studied separately. In  this  paper  we  propose  a  method combining  encryption and

compression based on Embedding and Extracting and Discrete Cosine Transform (DCT). 





For  encryption, target  images  are  covered with an insignificant  image  to hide 

them and it is transmitted to destination. The receiver reconstructs the original images by 

extracting  the  insignificant  image. For  compression process, using  DCT  the  size  of 

transmission can be reduced. Through several computer simulations, the performance of 

the proposed method is confirmed.

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                <text>Pride of India stamp collection and palm leaves collection. The Pride of India Collection is the first and most important stamp Ingot collection ever produced for India.Palm leaf bound manuscripts were the original mode of preserving stories and records in ancient Kerala. The technique used palm tree leaves that were processed by boiling and dyeing before being engraved (usually in Sanskrit) using an Ezhuthani (Metal Pen). Palm leaf manuscripts were written in ink on rectangular-cut, cured palm leaf sheets.</text>
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                <text>Image Pre-Processing Algorithms for the Quality Detection of Tea Leaves</text>
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                <text>edge detection techniques; image filters; Preprocessing algorithms; python</text>
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                <text>This Identification and prediction of the tea quality is the essential research focus nowadays in the field of agriculture. Nowadays the Artificial Intelligence has become the latest topic in the region of pattern recognition. The various combination and permutation of the different techniques has resulted in proper solving the problem as well as have better accuracy in recognition. Therefore, there is urge need of a detailed survey AI techniques used for the identification of the tea leaf quality for the different grades of tea plants. In this paper, we aim on the various methods used for the pre- processing of the input image to extract the processed image which will further be useful for the feature extraction and the classification of the proposed image. It is very important to get the effective and accurate processed data which will further act as an input for the next level modules. This paper shows various methods of edge detection are applied on the image like Canny, Sobel and Laplacian are used. The further results are compared for quality metrics parameters such as the Mean Square Error (MSE) &amp;amp; Structural Similarity Index Metric (SSIM). The main agenda of this paper is to perform the edge detection and to check the quality measure of the processed image. The software used here is python.   2022 IEEE.</text>
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                <text>Proceedings of International Conference on Technological Advancements in Computational Sciences, ICTACS 2022, pp. 252-257.</text>
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                <text>Gaba I., Christ (Deemed to Be University), Computer Science Department, Bangalore, India; Ramamurthy B., Christ (Deemed to Be University), Computer Science Department, Bangalore, India</text>
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                <text>Image Processing and Artificial Intelligence for Precision Agriculture</text>
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                <text>Image processing; neural network; Precision agriculture; Satellite imagery; UAV images</text>
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                <text>Precision agriculture is a novel approach to increase the productivity of crops that employs recent technologies such as Artificial Intelligence, WSN, cloud computing, Machine Learning, and IoT. This paper reviews the development of different techniques effectively used in precision agriculture. The paper details the technological impact on precision agriculture followed by the different image processing schemes such as Satellite imagery and unmanned aerial vehicle (UAV). The role of precision agriculture is disease detection, weed detection from UAV images, and detection of trees and contaminated soils from satellite imagery is discussed. It reviews the impact of artificial intelligence (AI) namely machine learning &amp;amp;deep learning in precision agriculture. The performance of the recent image processing schemes in precision agriculture is analyzed. The paper also discusses the challenges that exist in implementing the precision agriculture system.   2022 IEEE.</text>
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                <text>Deep Convolutional neural networks; microscopic images; Transfer learning</text>
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                <text>Deep convolutional neural networks (CNNs) have turn out to be one of the most advanced approaches trendy distinguishing snapshots in extraordinary fields. White blood cell classification is crucial for diagnosing anaemia, leukaemia, and a variety of other hematologic illnesses. Transfer learning with CNNs is frequently used in biological image categorization. Traditional methods for WBC classification is costly is terms of time and money. In the paper three convolutional neural network architectures are proposed which is based on transfer learning for microscopic image classification and compare the performance of models. The paper compares Transfer learning models like VGG-16, VGG-19, VGG-19 SVM hybrid and AlexNet. VGG-16 gives the best classification performance in comparison. VGG-16 model is which has a train accuracy of 0.9538 and train loss of 0.1322.  2022 IEEE.</text>
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              <elementText elementTextId="179161">
                <text>Thomas S.; Vijaylakshmi S.</text>
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                <text>2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering, ICACITE 2022, pp. 1053-1055.</text>
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                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>ISBN: 978-166543789-9</text>
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                <text>Thomas S., Christ (Deemed to Be University), Department of Data Science, Maharashtra, Lavasa, 412112, India; Vijaylakshmi S., Christ (Deemed to Be University), Department of Data Science, Maharashtra, Lavasa, 412112, India</text>
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                <text>Image Steganography Using Discrete Wavelet Transform and Convolutional NeuralNetwork</text>
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                <text>Accuracy; Convolutional Neural Network (CNN); Discrete Wavelet Transform (DWT); Encoding; Steganography</text>
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                <text>The practice of steganography involves concealing messages within another thing, which is referred to as a carrier. Is thus performed in order to build up a covert communication channel in a rather way that any observers whom has access to such a channel will not be able to detect the act of communication itself. In this research, using the process of stenography, a secret text is transferred across a communication channel using an image as a cover. Discrete Wavelet Transform (DWT) and Convolutional Neural Network (CNN) is used in the above process. The encoding and decoding operation is done by using DWT while the preprocessing and training of images is done by CNN. The training and prediction rate of CNN is 72.4 %.   2022 IEEE.</text>
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                <text>Gurumurthy S.B.; Danti A.</text>
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                <text>International Interdisciplinary Humanitarian Conference for Sustainability, IIHC 2022 - Proceedings, pp. 862-868.</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/IIHC55949.2022.10060110" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/IIHC55949.2022.10060110&lt;/a&gt;
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                <text>Restricted Access</text>
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                <text>ISBN: 978-166545687-6</text>
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                <text>Gurumurthy S.B., Christ University, Dept. of Computer Science and Engineering, Bangalore, India; Danti A., Christ University, Dept. of Computer Science and Engineering, Bangalore, India</text>
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      <description>Faculty Publications- Book Chapter</description>
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              <elementText elementTextId="150310">
                <text>Imagining the sustainable future with Industry 6.0: A smarter pathway for modern society and manufacturing industries</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="150311">
                <text>Industry is defined as the production of goods and services through the transformation of raw materials and resources into valuable products. It involves the creation of finished products or services through various stages of production that may include manufacturing, processing, assembly, packaging, and distribution. Industries have played a significant role in the economic growth and development of nations throughout history. They have contributed to the creation of employment opportunities, the development of new technologies, and the improvement of living standards. Over the years, the industrial sector has gone through numerous changes, and each of these changes has been termed as an "Industry Revolution."  2024, IGI Global. All rights reserved.</text>
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            <name>Creator</name>
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            <elementTextContainer>
              <elementText elementTextId="150312">
                <text>Singh R.; Tyagi A.K.; Arumugam S.K.</text>
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                <text>Machine Learning Algorithms Using Scikit and TensorFlow Environments, pp. 318-331.</text>
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              <elementText elementTextId="150314">
                <text>IGI Global</text>
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                <text>&lt;a href="https://doi.org/10.4018/978-1-6684-8531-6.ch016" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/978-1-6684-8531-6.ch016&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182819343&amp;amp;doi=10.4018%2F978-1-6684-8531-6.ch016&amp;amp;partnerID=40&amp;amp;md5=87e318fcb41640c8375aae2cd9c661be" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85182819343&amp;amp;doi=10.4018%2f978-1-6684-8531-6.ch016&amp;amp;partnerID=40&amp;amp;md5=87e318fcb41640c8375aae2cd9c661be&lt;/a&gt;</text>
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                <text>Restricted Access</text>
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                <text>ISBN: 978-166848533-0; 978-166848531-6</text>
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                <text>English</text>
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                <text>Singh R., BIT Mesra, India; Tyagi A.K., National Institute of Fashion Technology, New Delhi, India; Arumugam S.K., Christ University, Bangalore, India</text>
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                <text>Imidazopyridine chalcones as potent anticancer agents: Synthesis, single-crystal X-ray, docking, DFT and SAR studies</text>
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                <text>anticancer; docking; imidazopyridine; SAR studies; X-ray</text>
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              <elementText elementTextId="94646">
                <text>New imidazopyridinechalcone analogs were synthesized through the ClaisenSchmidt condensation reaction. The newly synthesized imidazopyridine-chalcones (S1S12) were characterized using spectroscopic and elemental analysis. The structures of compounds S2 and S5 were confirmed by X-ray crystallography. The global chemical reactivity descriptor parameter was calculated using theoretically (DFT-B3LYP-3-211, G) estimated highest occupied molecular orbital and lowest unoccupied molecular orbital values and the results are discussed. Compounds S1S12 were screened on A-549 (lung carcinoma epithelial cells) and MDA-MB-231 (M.D. Anderson-Metastatic Breast 231) cancer cell lines. Compounds S6 and S12 displayed exceptional antiproliferative activity against lung A-549 cancer cells with IC50 values of 4.22 and 6.89 M, respectively, compared to the standard drug doxorubicin (IC50 = 3.79 ?M). In the case of the MDA-MB-231 cell line, S1 and S6 exhibited exceptionally superior antiproliferative activity with IC50 of 5.22 and 6.50 ?M, respectively, compared to doxorubicin (IC50 = 5.48 ?M). S1 was found to be more active than doxorubicin. Compounds S1S12 were tested for their cytotoxicity on human embryonic kidney 293 cells, which confirmed the nontoxic nature of the active compounds. Further molecular docking studies verified that compounds S1S12 have a higher docking score and interacted well with the target protein. The most active compound S1 interacted well with the target protein carbonic anhydrase II in complex with pyrimidine-based inhibitor, and S6 with human Topo II? ATPase/AMP-PNP. The results suggest that imidazopyridine-chalcone analogs may serve as new leads as anticancer agents.  2023 Deutsche Pharmazeutische Gesellschaft.</text>
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                <text>Soumyashree D.K.; Reddy D.S.; Nagarajaiah H.; Naik L.; Savanur H.M.; Shilpa C.D.; Sunitha Kumari M.; Shanavaz H.; Padmashali B.</text>
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                <text>Archiv der Pharmazie, Vol-356, No. 7</text>
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              <elementText elementTextId="94649">
                <text>John Wiley and Sons Inc</text>
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                <text>Soumyashree D.K., Department of Chemistry, School of Basic Science, Rani Channamma University, Belagavi, Karnataka, 591156, India; Reddy D.S., Centre for Nano and Material Sciences, Jain (Deemed-to-be University), Jain Global Campus, Kanakapura, Bangalore, Karnataka, 562112, India; Sunitha Kumari M., Department of Physics, Yuvaraja's College, University of Mysore, Mysuru, Karnataka, 570005, India; Ravikumar R., Department of Physics, Yuvaraja's College, University of Mysore, Mysuru, Karnataka, 570005, India; Kumar A., Centre for Nano and Material Sciences, Jain (Deemed-to-be University), Jain Global Campus, Kanakapura, Bangalore, Karnataka, 562112, India; Nagarajaiah H., Department of Chemistry, School of Applied Sciences, REVA University, Yelahanka, Bangalore, 560064, India; Vidya G., Department of Chemistry, Dayananda Sagar College of Engineering, SM Hills, Kumaraswamy layout, Bengaluru, Karnataka, 560111, India; Naik L., Department of Physics and Electronics, CHRIST University, Bangalore, 560029, India; Al-Asbahi B.A., Department of Physics &amp;amp; Astronomy, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Kadam N., Sangolli Rayanna First Grade Constituent College, Belagavi, 5900017, India; Shanavaz H., Department of Chemistry, Faculty of Engineering and Technology, Jain University, Jain Global Campus, Jakkasandra Post, Bangalore, 562112, India; Padmashali B., Department of Chemistry, School of Basic Science, Rani Channamma University, Belagavi, Karnataka, 591156, India</text>
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                <text>Immersive technology is going to govern the next generation in terms of education, health, military, tourism, and much more. Through its comprehensive exploration, didactic approach, and insightful analyses, this book provides an invaluable resource for understanding and harnessing the power of immersive technology. Immersive Technologies: Navigating the Impacts, Challenges, and Opportunities serves as a guiding compass through the immersive technology landscape and takes a multifaceted approach, addressing both the technical and human aspects. The book dissects the underlying methods and technologies that power immersive experiences, offering readers a clear understanding of how VR, AR, and MR function. The latest advancements, from cutting-edge hardware developments to revolutionary software applications are discussed in detail. The book also delves into the potential societal impacts and takes the reader on a journey from education to healthcare, entertainment to remote collaboration, so the reader can gain insights into the myriad of ways immersive technology is already shaping industries and human interaction. The ultimate benefit readers will derive from this book is a holistic grasp of the immersive technology landscape and they will be armed with knowledge about the challenges and opportunities presented by VR, AR, and MR. They will be well-equipped to navigate the future. This is a must-read for anyone interested in how this technology has the potential to reshape our world. Academicians will be enriched with the applications and practical perspectives.  2025 Sagaya Aurelia.</text>
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                <text>In the quest for more sustainable chemical processes, we devised a technique using electro-organocatalysis to synthesize bis-?-diketone compounds via Knoevenagel condensation of benzaldehyde and dimedone. Our approach involves a modified electrode fabricated via anchoring L-proline onto a carbon fiber paper electrode supported by poly-3,4-diaminobenzoic acid (PDABA), which enhances efficiency in addition to the simple catalyst separation from the reaction mixture in heterogeneous catalysis. The electrochemical and surface topographical studies for the fabricated electrode were carried out, revealing high efficiency in comparison to the bare carbon fiber paper electrode. This electrochemical reaction operates under mild conditions utilizing lithium perchlorate and acetonitrile, yielding high amounts of the desired product. This study showcases a promising pathway for producing valuable organic compounds in an environmentally friendly manner, marking a significant stride forward in sustainable synthesis practices.  2024 Elsevier Ltd</text>
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                <text>Electrochimica Acta, Vol-505</text>
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                <text>The disease caused by a virus known as the novel Coronavirus, also known as "COVID-19" by the public, was classified as a major epidemic by the World Health Organisation in 2019. Each country across the globe is affected by COVID-19. While writing this, over 150 million people were affected by the fast-spreading deadly pandemic, and over 3.5 million deaths due to COVID-19 were reported worldwide as per WHO's official COVID-19 dash panel-https://covid19.who.int/Economy and social life of no territory on earth was left unaffected by the COVID-19. Now vaccines are ready, it may take a reasonable amount of time to complete the vaccination process. One major challenge was the need for more support equipment like Beds, Oxygen Cylinders, and Ventilators. Improvisation in the mass production of many critical components, especially those supporting 3D printing technology, has shown some well-managed results in handling the shortage of many critical components. This chapter examines and describes how 3D printing technologies were used during the dangerous pandemic. It aims to describe many 3D-printed devices like face masks, face shields, various valves, etc. It also makes an effort to point out the dominant drawbacks of additive manufacturing technology in this area and examines the options for a future pandemic.  2023 Bentham Science Publishers. All rights reserved.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205745843&amp;amp;partnerID=40&amp;amp;md5=08ec9c177df73a9509084b25626c5288" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205745843&amp;amp;partnerID=40&amp;amp;md5=08ec9c177df73a9509084b25626c5288&lt;/a&gt;</text>
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                <text>Thomas K.T., Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus - The Hub of Analytics, Maharashtra, 412112, India; Jacob L., Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus - The Hub of Analytics, Maharashtra, 412112, India; Shukla S., Department of Data Science, CHRIST (Deemed to be University), Pune Lavasa Campus - The Hub of Analytics, Maharashtra, 412112, India</text>
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                <text>Background: Child abuse and neglect is an issue of concern for public health professionals. The impact of abuse may lead to poor physical and mental health conditions. Family environment may impact coping and recovery among victims of abuse. The association between child abuse, mental health, happiness, and family environment is complex. The study examines the association and pathways between child abuse exposure, mental health and happiness, while exploring the potentially mediating effect of the family environment. Methods: Data were collected from 571 high school students from Kerala, India, by using various tools, including a semi-structured questionnaire, Depression and Anxiety Youth Scale, and happiness scale. A mediation analysis using structural equation modeling (SEM) was carried out to test the objectives of the study. Results: The analysis shows that mental health, happiness, and family environment are correlated with abuse experience. The mediation analysis further shows that the indirect effect of abuse on mental health via the family environment was significant (? = 0.013, 95% CI [0.002, 0.033]). The indirect effect of abuse on happiness via the family environment was significant (? = 0.019, 95% CI [0.044, 0.003]). Furthermore, the total effect of abuse on mental health (? = 0.266, 95% CI [0.164, 0.354]) and abuse on happiness (? = 0.152, 95% CI [0.259, 0.050]) was significant. Conclusion: The study reveals that abuse experiences impact happiness and mental health outcomes among students. The family environment mediates the relationship between child abuse and mental health, and between child abuse and happiness.  2023 The Author(s).</text>
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                <text>Kumar A.; Deb S.; Bhagyalakshmi KC</text>
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                <text>Journal of Indian Association for Child and Adolescent Mental Health, Vol-19, No. 3, pp. 266-272.</text>
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                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>Impact of Adoption of Account Aggregator Framework In India   </text>
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                <text>Open banking is closely associated with the Account Aggregator (AA) concept, enabling customers to securely and selectively authorise third-party providers to access their financial information. The AA framework works in tandem to protect client data while facilitating secure data transmission among authorised parties, promoting competition and innovation in the banking industry, and allowing clients to access and use financial services through various channels and platforms. Open banking can increase financial inclusion by allowing third-party developers to access customer data and construct new financial products and services on top of existing bank infrastructure. It can also encourage innovation and competition in the Indian banking sector, which would benefit customers in the long term. Open banking systems face significant challenges, such as weak security, data protection violations, money laundering, and terrorist funding risks. It is crucial to couple the widespread adoption of open banking frameworks with robust data protection and privacy legislation to safeguard customer data and financial information. India is adopting the Personal Data Protection Bill 2019, which proposes establishing a specialized. Data Protection Authority tasked with securing persons' data. Operational and cyber security hazards associated with open banking include data leaks, misuse, falsification, denial of service attacks,
and infrastructure failures. To ensure compliance with these laws, financial institutions must implement mechanisms to monitor and manage risks related to open banking. The Reserve Bank of India (RBI) has developed the Data Empowerment and Protection Architecture (DEPA) to provide secure and privacy-protected access to personal data. DEPA includes data sharing agreements, consent management, and authentication for third-party developers. While unique to India, DEPA shares similarities with the European Commission's efforts to promote open banking and open finance in the European Union through the Payment Services Directive 2 (PSD2). PSD2 mandates that banks across all EU member countries provide API access to third-party payment account information and services. The study highlights the importance of perceived ease of use, trust, and utility in shaping people's attitudes and intentions towards an open banking fram ework. Interestingly, risk has a minimal impact on user adoption. This finding offers valuable insights to developers and marketers, indicating the need to prioritise user-friendly, trustworthy, and effective technologies while mitigating perceived risks to maximise adoption and customer satisfaction. This study attempts to understand better the influence of implementing the Account Aggregator Framework in India, and the sample size chosen comprised clients of the account aggregator framework in India.
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                <text>Kallarakal, Tomy K</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/540375" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/540375&lt;/a&gt;</text>
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