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                <text>Changing Structure of Consumer Buying Behaviour and Expectation in the Digital Era</text>
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                <text>The growing digital landscape has made a fundamental impact on consumer behaviour. The digital era has totally transformed the buyers and shifted them from the traditional approach to the digital technologies. Todays digitally literate consumers have grown out of the TV advertisement experience to a wide range of digital marketing communications on their smartphone, tabs and laptops and on various social media. Marketers are geared up to identify, reach and engage these latest species of consumers who are agile and active in this new digital ecosystem having multiple devices and multiple channels. This new digital savvy customers give the marketers biggest challenges and rewards over their traditional counterparts. Today customers have some indispensable hopes and demands while they are shopping. The customers expect their needs of products and services should be met at their own time and at their own place, and at reasonable price. Digital era has empowered todays customers by providing them with easy and quick access to voluminous information, compare and contrast between brands and their offerings, facility to purchase the brand offerings from diverse devices and gadgets and also giving them the opportunity to dispense their post-purchase knowledge and experiences. Customer shopping habits have evolved with technology, and companies continue to adapt to maintain relevance. This study examines the consumer behaviour during the digital era. This paper also attempts to understand consumer sentiments and new buying behaviours in this digital era.  The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.</text>
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                <text>Vincent Jaiwant S.</text>
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                <text>Industry 4.0 and the Digital Transformation of International Business, pp. 207-215.</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-19-7880-7_12" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-19-7880-7_12&lt;/a&gt;
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                <text>Vincent Jaiwant S., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, India</text>
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                <text>Changing trend in the programming pattern happening in Malayalam television channels due to FDI /</text>
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                <text>Jeeson, Akhil. - 1324001</text>
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                <text>Malayalam television industry is unique in its own way and stand out for its unique elements from the other television industries in India. The researcher has tried to analyze the changing trend in the programing happening in Malayalam television channels due to the foreign direct investment happening in the industry.</text>
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                <text>D'Souza Joel</text>
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                <text>The television has been a primary source of entertainment for masses across the globe. In India itself, people within households are often glued to their television sets in order to be informed or entertained. Drama is a source of life for most people and hence the end up tuning into a variety of daily soap makes that area available to them. Television soap operas have grown tremendously over the past decades and different methods have been adopted and developed to promote these soap operas. The research aims to see how promotions of television soap operas in India have changed between 2008 and 2012 with an analysis of the different kind of strategies adopted by television networks to promote and advertise their different shows. </text>
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                <text>Economic and Political Weekly, Vol-58, No. 28, pp. 111-112.</text>
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                <text>Sebastian R., The Department of English and Cultural Studies, Christ (Deemed to be University), Bengaluru, India</text>
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                <text>Channel Selection Using Stochastic Diffusion Search Algorithm for Classification in Brain-Computer Interface</text>
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                <text>-Channel selection; Adaboost; Classification and Regression Tree (CART); Common Spatial Pattern (CSP); K-Nearest Neighbor (KNN); Naive Bayes (NB); Stochastic Diffusion Search (SDS)</text>
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                <text>Utilization of the Brain-Computer Interfaces (BCI) is done via Electroencephalogram (EEG) signals that provide several environmental interactions among individuals having restricted movements owing to neurodegenerative diseases or strokes. However, the BCI system was based on Motor Imagery (MI). It was not used for any form of real-life application owing to a decrease in the performance of various Common Spatial Pattern (CSP) algorithms, especially while the actual number of channels was high. A multi-channel structure of such EEG signals can increase cost and bring down speed. Due to this, a reduction in the system cost by the detection of active electrodes during the process can increase accessibility. This way, optimization techniques in choosing electrodes can be used to determine other effective channels by employing a method of random selection. For this work, a Stochastic Diffusion Search (SDS) algorithm based on herd optimization techniques was used with four different classifiers, which were the AdaBoost, the Classification and Regression Tree (CART), the Naive Bayes (NB) as well as the K-Nearest Neighbor (KNN). The channels that were chosen frequently were determined to improve the system performance with regard to accuracy and speed. The results proved that the approach proposed was successful in bringing down the channel number and run time without affecting the accuracy of classification.  2024 Seventh Sense Research Group.</text>
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                <text>ant lion optimizer; chaotic initialization; feature selection; optimization; swarm intelligence</text>
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                <text>Binary version of the ant lion optimizer (ALO) are suggested and utilized in wrapper-mode to pick the best feature subset for classification. ALO is a recently developed bio-inspired optimization approach that mimics ant lion hunting behavior. Furthermore, ALO balances exploration and exploitation utilizing a unique operator to explore the space of solutions adaptively for the best solution. The difficulties of a plethora of noisy, irrelevant, and misleading features, as well as the capacity to deal with incorrect and inconsistent data in real-world subjects, provide rationale for feature selection to become one of the most important requirements. A difficult machine learning problem is to choose a subset of important characteristics from a vast number of features that characterize a dataset. Choosing the most informative markers and conducting a high-accuracy classification across the data may be a difficult process, especially if the data is complex. The feature selection task is usually expressed as a bio-objective optimization challenge, with the goal of enhancing the performance of the prediction model (data training fitting quality) while decreasing the number of features used. Various evaluation criteria are employed to determine the success of the suggested approach. The findings show that the suggested chaotic binary algorithm can explore the feature space for optimum feature set efficiently.   2022 IEEE.</text>
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                <text>Zivkovic M.; Bacanin N.; Rakic A.; Arandjelovic J.; Stanojlovic S.; Venkatachalam K.</text>
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                <text>Proceedings - International Conference on Augmented Intelligence and Sustainable Systems, ICAISS 2022, pp. 581-588.</text>
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                <text>Zivkovic M., Singidunum University, Faculty of Informatics and Computing, Belgrade, Serbia; Bacanin N., Singidunum University, Faculty of Informatics and Computing, Belgrade, Serbia; Rakic A., Singidunum University, Faculty of Informatics and Computing, Belgrade, Serbia; Arandjelovic J., Singidunum University, Faculty of Informatics and Computing, Belgrade, Serbia; Stanojlovic S., Singidunum University, Faculty of Informatics and Computing, Belgrade, Serbia; Venkatachalam K., Faculty of Computer Science and Engineering, CHRIST(Deemed to Be University), Bangladore, India</text>
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                <text>Kerala is a small, ocean-facing state in South India and has been home to several ancient civilizations in the past. The yesteryears have rewarded the state with great cultural heritage, monuments, historic artifacts and the like. Palm leaf manuscript is one such antiquity. Before paper became common, palm leaf was the medium for writing in Kerala. Such manuscripts capture the glory of our past and deals with different domains such as arts, astrology, medicine, science, religion and spirituality. Palm leaf manuscripts have value both as a cultural asset and as a knowledge repository. Palm leaf manuscripts are organic and degrades with age. The environmental conditions can also accelerate its degradation. A viable solution in preserving the knowledge contained in these manuscripts is Handwritten Character Recognition (HCR). Digitized manuscripts have infinite life. Character recognition in Indian languages, including Malayalam, is considered a complex process mainly due to the size of character set, the similarity of characters and the presence of compound characters. This paper surveys existing works in the field of HCR relevant to Malayalam palm leaf manuscripts.  2023 Author(s).</text>
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                <text>Sarithadevi S.; Rajesh R.</text>
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                <text>AIP Conference Proceedings, Vol-2773</text>
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                <text>American Institute of Physics Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1063/5.0138616" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1063/5.0138616&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161604655&amp;amp;doi=10.1063%2F5.0138616&amp;amp;partnerID=40&amp;amp;md5=e0d0351d642d5bab6e2822048087d290" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85161604655&amp;amp;doi=10.1063%2f5.0138616&amp;amp;partnerID=40&amp;amp;md5=e0d0351d642d5bab6e2822048087d290&lt;/a&gt;</text>
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                <text>ISSN: 0094243X; ISBN: 978-073544525-3</text>
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                <text>Sarithadevi S., Department of Computer Science CHRIST, Deemed to Be University, Bangalore, India, Department of Computer Science, Naipunnya Institute of Management and Information Technology, Kerala, India; Rajesh R., Department of Computer Science CHRIST, Deemed to Be University, Bangalore, India</text>
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                <text>Character Recognition of MODI Script Using Distance Classifier Algorithms</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="159656">
                <text>Classification algorithms; Euclidean distance classifier; Handwritten character recognition; Manhattan distance classifier; MODI script</text>
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                <text>Machine simulation of human reading is an active research area since the introduction of digital computers. Optical character recognition aims at the recognition of printed or handwritten text from document images and converting the same into a machine-readable form. The focus of this work is handwritten character recognition of MODI Script. A proper recognition system for handwritten documents enables it to be conveniently viewed, edited, and shared via electronic means. The development of a character recognition system for some of the ancient script is still a challenging task due to the complex nature of the script. MODI script is one such script which is the shorthand form of the Devanagari script in which Marathi was written. Though at present MODI script is not an official script, there exists a huge collection of MODI documents in various libraries. In addition, it is observed that scholars and historians are taking serious effort to revive the script. The purposed study based on the implementation of two algorithms for the classification of handwritten MODI script. The algorithms use distance classifier method. The first experiment is done using Euclidean distance classifiers and the second one is with Manhattan distance classifier and the accuracy achieved is 99.28% &amp;amp; 94% respectively.  Springer Nature Singapore Pte Ltd 2020.</text>
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                <text>Joseph S.; George J.P.; Gaikwad S.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-93, pp. 105-113.</text>
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                <text>ISSN: 23673370</text>
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                <text>Ga2O3, an ultrawide bandgap semiconducting oxide, is currently emerging as a promising candidate for various applications, such as power devices, solar-blind UV detectors, high temperature oxygen sensors and biomedical imaging. One significant limitation hindering the application of Ga2O3 as a wide-bandgap semiconductor is its poor conductivity. In this work, we investigate whether doping with tin and chlorine can mitigate this condition. Sn-Cl co-doped ?-Ga2O3 thin films are deposited on glass substrates using spray pyrolysis technique. The deposited films are subjected to comprehensive analysis, including structural, optical and morphological measurements using techniques like X-ray diffraction, UV-Vis-NIR spectroscopy, X-ray photoelectron spectroscopy and EDX studies. Electrical properties are assessed using the four-probe method and Hall measurements. The best conductivity of 8.86 ??1m?1 is observed when 8.68 at% of Sn and 3.37 at% of Cl were co-doped into Ga2O3 (S(3)) and its optical band gap is calculated to be 4.65 eV. This is about five orders of improvement in conductivity as compared to that of pure Ga2O3 thin film deposited by the same method. Furthermore, we have constructed a deep UV detector utilizing doped ?-Ga2O3 thin films as the semiconducting absorbing layer. The detector demonstrated the highest responsivity of 2.54 10?4 A/W at 260 nm and the corresponding specific detectivity is 1.4 109 Jones. The current research validates the potential of Sn-Cl co-doped ?-Ga2O3 thin film as an excellent choice for UV detector application.  2024 Elsevier B.V.</text>
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                <text>Raphael R.; Devasia S.; Shaji S.; Anila E.I.</text>
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                <text>ISSN: 9244247; CODEN: SAAPE</text>
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                <text>Raphael R., Optoelectronics and Nanomaterials Research Laboratory, Department of Physics, Union Christian College, Kerala, Aluva, 683102, India; Devasia S., Optoelectronics and Nanomaterials Research Laboratory, Department of Physics, Union Christian College, Kerala, Aluva, 683102, India, Nanotechnology - Research, Innovation and Incubation Centre (NRIIC), PSG Institute of Advanced Studies, Tamil Nadu, Coimbatore, 641004, India; Shaji S., Facultad de Ingenier Mecica y Eltrica, Universidad Automa de Nuevo Le, SanNicol de los Garza, Nuevo Le, Mexico; Anila E.I., Optoelectronics and Nanomaterials Research Laboratory, Department of Physics, Union Christian College, Kerala, Aluva, 683102, India, Department of Physics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India</text>
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                <text>bandwidth; multiband; ring-shaped; theory of characteristic modes</text>
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                <text>In this study, the characteristic mode theory is used to better explain the physical behavior of a few simple closedshaped geometries. The bandwidth coverage, resonant behavior, and modal current distributions for several ringshaped geometries are shown and discussed. It has been demonstrated that the triangular, rectangular, and square ring geometries can result in multi-band performance, whereas the hexagonal, circular, square, and triangular rings are promising candidates for circularly polarized antenna designs.   2024 IEEE.</text>
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                <text>Kumar N., CHRIST University, ECED, RF and Microwave Research Lab, Bengaluru, India; Sharma N., Presidency University, Electronics and Communication Engineering Department, Bengaluru, India; Sharma S., Presidency University, Electronics and Communication Engineering Department, Bengaluru, India; Khanna R., Thapar Institute of Engineering and Technology, Electronics and Communication Engineering Department, Patiala, India; Koohestani M., ESEO School of Engineering, Department of Electrical and Electronic Engineering, Angers, France</text>
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                <text>Characteristic Mode Analysis of Fashion Brands Conductive Logos as Potential Radiators</text>
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                <text>bandwidth capabilities; Characteristic modes analysis; fashion brands; propagation modes</text>
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                <text>A few popular fashion brand logos, which can be employed as potential radiating elements, are investigated in this paper based on the theory of characteristic mode (TCM). Such an analysis would further help design multi-band wearable antennas within the frequency range from 1 to 6 GHz. The resonant behavior and bandwidth capability for various modes are presented and discussed. It is observed that all the studied logos demonstrate a first resonant frequency around 1.5 GHz, while both Lacoste and Louis Vuitton logos show wider modal bandwidths capabilities.  2023 IEEE.</text>
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                <text>Kumar N.; Koohestani M.; Khanna R.</text>
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                <text>2023 IEEE Radio and Antenna Days of the Indian Ocean, RADIO 2023</text>
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                <text>ISBN: 979-835034791-3</text>
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                <text>Kumar N., Christ University, Eced, Bengaluru, India; Koohestani M., Ietr, ole Supieure d'ectronique de l'Ouest, Cnrs 6164, Angers, Paris, France; Khanna R., Thapar Institute of Engineering and Technology, Punjab, India</text>
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                <text>Characteristic Mode Analysis of Metallic Automobile Logo Geometry</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="174567">
                <text>5G; Automobile logos; multi-band; Theory of characteristic mode (TCM)</text>
              </elementText>
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                <text>This paper presents a characteristic mode analysis of a few popular automobile logo geometries. It is performed to get an insight into the physical behavior of those geometries which can be employed as a radiating element, such as an antenna. Such an analysis helps design multi-band and multi-mode antennas suitable for 5G sub-6 GHz bands. The resonant behavior, bandwidth capability, and modal current distribution analysis are presented for various modes of different automobile logo geometries, demonstrating that Audi, Suzuki, and Volkswagen logos show multi-band performance. Moreover, due to having symmetric modes, the BMW logo was found to be suitable for designing a circularly polarized antenna.  2023 IEEE.</text>
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              <elementText elementTextId="174569">
                <text>Kumar N.; Seetharamdoo D.; Koohestani M.</text>
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              <elementText elementTextId="174570">
                <text>2023 IEEE Radio and Antenna Days of the Indian Ocean, RADIO 2023</text>
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              <elementText elementTextId="174571">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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                <text>&lt;a href="https://doi.org/10.1109/RADIO58424.2023.10146080" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/RADIO58424.2023.10146080&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163297269&amp;amp;doi=10.1109%2FRADIO58424.2023.10146080&amp;amp;partnerID=40&amp;amp;md5=d0a5b89524599273cf8c97a54a5eb899" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85163297269&amp;amp;doi=10.1109%2fRADIO58424.2023.10146080&amp;amp;partnerID=40&amp;amp;md5=d0a5b89524599273cf8c97a54a5eb899&lt;/a&gt;</text>
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                <text>ISBN: 979-835034791-3</text>
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                <text>Kumar N., Christ University, Eced, Bengaluru, India; Seetharamdoo D., Univ Gustave Eiffel, COSYS-LEOST, Villeneuve d'Ascq, F-59650, France; Koohestani M., Eseo School of Engineering, Eeed, Angers, France</text>
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          <element elementId="50">
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              <elementText elementTextId="95544">
                <text>Characteristics of chitin extracted from different growth phases of black soldier fly, Hermetia illucens, fed with different organic wastes</text>
              </elementText>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="95545">
                <text>Chitin; Insect; Waste management; Wound healing</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
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            <description>An account of the resource</description>
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              <elementText elementTextId="95546">
                <text>Insect chitin was isolated from different life stages of the black soldier fly Hermetia illucens, such as instar stages, prepupae and pupae, reared separately on fruit and vegetable waste substrates after removal of fat, protein and minerals. Chitin yield was high in prepupae fed with vegetable waste (11.78  0.13%) followed by fruit waste (6.82  0.36%). The extracted chitin was compared with a commercial chitin from shrimp by Fourier-transform infrared spectroscopy, X-ray diffraction, scanning electron microscopy and thermogravimetric analysis. The results revealed that both chitins from commercial shrimp source and the H. illucens had similar chemical structures and physicochemical properties indicating the H. illucens chitin samples to be of ?- chitin orientation type. With regards to the H. illucens samples, small physiochemical changes were noticed. Furthermore, the polymers derived from BSF are equivalent to commercial polymers in terms of purity and structural morphology, indicating their utility for industrial and medical applications. Thus, H. illucens prepupae is a promising alternative source of chitin.  2023, African Association of Insect Scientists.</text>
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              <elementText elementTextId="95547">
                <text>Rampure S.M.; Velayudhannair K.; Marimuthu N.</text>
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          <element elementId="48">
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              <elementText elementTextId="95548">
                <text>International Journal of Tropical Insect Science, Vol-43, No. 3, pp. 979-987.</text>
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              <elementText elementTextId="95549">
                <text>Institute for Ionics</text>
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            <name>Date</name>
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              <elementText elementTextId="95550">
                <text>2023-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1007/s42690-023-00997-6" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s42690-023-00997-6&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158040637&amp;amp;doi=10.1007%2Fs42690-023-00997-6&amp;amp;partnerID=40&amp;amp;md5=b85c1e30885cdfb8f761c0c191a59fc7" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85158040637&amp;amp;doi=10.1007%2fs42690-023-00997-6&amp;amp;partnerID=40&amp;amp;md5=b85c1e30885cdfb8f761c0c191a59fc7&lt;/a&gt;</text>
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                <text>ISSN: 17427584</text>
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              <elementText elementTextId="95555">
                <text>English</text>
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              <elementText elementTextId="95557">
                <text>Rampure S.M., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore Central Campus, Dharmaram Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Velayudhannair K., Department of Life Sciences, CHRIST (Deemed to be University), Bangalore Central Campus, Dharmaram Post, Hosur Road, Karnataka, Bengaluru, 560029, India; Marimuthu N., Department of Chemistry, CHRIST (Deemed to be University), Bangalore Central Campus, Hosur Road, Karnataka, Bengaluru, 560029, India</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="189758">
                <text>Characterization and comparison studies of Bentonite and Flyash for electrical grounding</text>
              </elementText>
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          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="189759">
                <text>Bentonite; Flyash; FTIR; Grounding; Packing Density; Resistivity</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="189760">
                <text>Earthing or Grounding is an Electrical system consists of electrodes which serves as an electrical connection from an electric circuit in the system to the earth or ground. Traditional Earthing- where we mix charcoal and salt offers low resistance to the fault current flow developed from a Low operating Voltages. Since operating voltages are high now a days, Short circuit current also increased. Traditional method of Earthing is replaced by chemical Earthing.Bentonite which is mainly used in chemical Earthing serves the requirement of Low resistance Earthing pits and also have the property to retain the moisture. In this paper an attempt had been made to assure the Flyash usage in the grounding pit and this paper discusses the Characterization, Comparison and Field Studies on Earthing Pit constructed with Bentonite and Fly ash layers.  2015 IEEE.</text>
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                <text>The current study outlines a process for producing environmentally friendly bricks that can also compete successfully in today's highly competitive market. The use of iron ore tailings (IOT), which are typically disposed of as waste by the mining industry, is the subject of ongoing research for brick production. Bricks were made using IOT, which was obtained from iron ore mines in India's southern region. The study is based on the alkali-activation method of producing IOT bricks, which has been shown to be the most energy-efficient method of production. This is because, in contrast to the traditional method of producing bricks, the alkali-activation method emits fewer greenhouse gases. India has an abundance of iron ore deposits, which has resulted in extensive mining activities, which has resulted in an increase in waste generation, The waste is typically disposed of by being dumped in one of the dumping sites or dams near the mining area. These tailings pose a significant threat to the environment in their immediate vicinity. As a result, the use of IOT in brick manufacturing will reduce the mining industry's waste disposal burden. Furthermore, the use of IOT in the production of bricks will reduce the use of natural raw materials in the production of conventional bricks. Several types of brick composites were developed in this study by combining Ground Granulated Blast Furnace Slag (GGBS), Flyash, and IOT with a sodium silicate solution. Each raw material is analysed using particle size analysis (PSA), X-ray fluorescence (XRF), X-ray diffraction (XRD) and scanning electron microscopy (SEM. The newly developed IOT bricks were put through a series of tests to determine their strength and durability in accordance with Indian standards. The developed IOT bricks had a maximum compressive strength of up to 18.45N/mm2 while water absorption was not more that 12.6%. Furthermore, the bricks were subjected to a series of wetting and drying tests to determine their long-term durability in accordance with Brazilian regulations. Each of the results obtained was validated using microstructure analysis of the product that was developed. Furthermore, the study sought to determine the compression strength of alkali-activated IOT brick prisms when combined with mortar of varying strengths. Finally, it was determined that more than 50 percent of the IOT can be used in combination with GGBS, flyash, and sodium silicate solution as an alkali activator to produce high-quality bricks under ambient temperature curing conditions.</text>
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                <text>Jalall, Nabil Hossiney.</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/467062" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/467062&lt;/a&gt;</text>
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                <text>first Zagreb index; graph energy; ??adjacency energy</text>
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                <text>Recently Nikiforov et.al [9] put forward the ??adjacency energy of a graph G. In this paper, we continue the work on ??adjacency energy and obtain bounds for this new parameter in terms of order, size and the first Zagreb index.  Indian Mathematical Society, 2023.</text>
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                <text>Shanmukha B., Department of Mathematics, P.E. S. College of Engineering, Karnataka, Mandya, India; Shwetha H.N., Department of Mathematics, P.E. S. College of Engineering, Karnataka, Mandya, India; Manjunath N., Department of Sciences and Humanities, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bengaluru, India; Sarkar I., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, Bengaluru, India</text>
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        </elementContainer>
      </elementSet>
    </elementSetContainer>
  </item>
</itemContainer>
