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                <text>Rectangular Microstrip Patch Antenna Array Based Sectored Antenna for Directional Wireless Sensor Networks</text>
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                <text>Directional Sensor Network; Microstrip Patch Antenna Array; RF Switch; Sectored Antenna</text>
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                <text>Directional wireless Sensor Network (DSN) outperforms Wireless Sensor Network (WSN) over different parameters such as transmission range, interference, spatial reusability and energy efficiency. In this paper, a Rectangular Patch antenna Array (RPA) based sectored antenna is proposed for DSN. The individual sector is composed of two-element rectangular patch antenna array with a measured peak gain of 5.2 dBi and half-power beamwidth of 45. Single Pole 8 Throw (SP8T) Radio Frequency (RF) switchboard is designed to connect the sectored antenna to MICAz WSN mote. The antenna performance analysis carried out in simulation and real-time measurement via Ansys High Frequency Structure Simulator (HFSS) and Vector Network Analyzer (VNA) exhibits higher gain, lower return loss, half-power beamwidth and Voltage Standing Wave Ratio (VSWR).  2020 IEEE.</text>
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                <text>Nagaraju S.; Gudino L.; Kadam B.; Khairnar V.V.; Rodrigues J.X.; Ramesha C.K.</text>
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                <text>2020 12th International Symposium on Communication Systems, Networks and Digital Signal Processing, CSNDSP 2020</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/CSNDSP49049.2020.9249489" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/CSNDSP49049.2020.9249489&lt;/a&gt;
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                <text>ISBN: 978-172816743-5</text>
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                <text>Nagaraju S., Dayananda Sagar University, School of Engineering, Department of Computer Science and Engineering, Bengaluru, India; Gudino L., Bits Pilani, Department of Computer Science and Information Systems, Pilani, India; Kadam B., Bits Pilani K K Birla Goa Campus, Department of Electrical and Electronics Engineering, Goa, India; Khairnar V.V., M. V. J. College of Engineering, Department of Electronics and Communications, Bengaluru, India; Rodrigues J.X., Christ University, Department of Electrical and Electronics Engineering, Bengaluru, India; Ramesha C.K., Bits Pilani K K Birla Goa Campus, Department of Electrical and Electronics Engineering, Goa, India</text>
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                <text>Recurrent Neural Networks in Predicting the Popularity of Online Social Networks Content: A Review</text>
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                <text>An online social network is a web platform that individuals use to make social relationships with people who share similar interests, activities, connections, and backgrounds. All online social networks differ in the number of features they provide and their format. In recent years, drastic growth has been seen in the users of online social networks like Flickr, Instagram, Pinterest, Twitter, etc. Among all the features of online social networks, content sharing is the one being widely used by individual users and large organizations. Due to this, content popularity prediction has been extensively studied nowadays, considering various aspects related to it. The study throws light on the use of machine learning techniques in this field. Various algorithms have been used to handle popularity prediction, including classification, regression, and clustering techniques. It is feasible to extract the essential information from such content using machine learning algorithms and utilize the retrieved information in a variety of ways, the majority of which are commercial in nature. The goal of this study is to review and analyze various recurrent neural network (RNN) approaches for predicting the popularity of social media content.  The Electrochemical Society</text>
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                <text>Anand G.; Srivastava S.; Shandilya A.; Gupta V.</text>
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                <text>ECS Transactions, Vol-107, No. 1, pp. 19991-20003.</text>
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                <text>Institute of Physics</text>
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                <text>ISSN: 19386737; ISBN: 978-160768539-5</text>
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                <text>Anand G., School of Sciences, CHRIST (Deemed to be University), Uttar Pradesh, Ghaziabad, 201003, India; Srivastava S., School of Sciences, CHRIST (Deemed to be University), Uttar Pradesh, Ghaziabad, 201003, India; Shandilya A., Department of Computer Science, Geeta Engineering College, Haryana, Panipat, 132145, India; Gupta V., School of Sciences, CHRIST (Deemed to be University), Uttar Pradesh, Ghaziabad, 201003, India</text>
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                <text>Patent Number: 202141028807, Applicant: A. Joseph Arockiam.&#13;
The problem of plastic recycling has recently become one of the significant environmental protection and waste management concerns. In many sectors of everyday life and business, polymer materials have been discovered to have applicable. In addition to their widespread usage, plastic wastes were also a concern since they remained persistent and harmful waste after their removal from use. The invention will lead to the first step towards reducing pollution via the replacement of synthetic polymer for mobile accessories into biodegradable waste (seafood waste).</text>
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                <text>P, Palpandian.</text>
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                <text>&lt;a href="https://drive.google.com/file/d/1M7oCbrcPKfC5LLmpylydhvrJnB0xAXi6/view" target="_blank" title="Recycle of sea food waste into mobile cases by 3D printing /" rel="noreferrer noopener"&gt;https://drive.google.com/file/d/1M7oCbrcPKfC5LLmpylydhvrJnB0xAXi6/view&lt;/a&gt;</text>
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                <text>Intellectual Property India</text>
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                <text>Recycled Surgical Mask Waste as a Resource Material in Sustainable Geopolymer Bricks</text>
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                <text>durability; geopolymer bricks; recycled surgical masks; strength; sustainability</text>
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                <text>With the advent of the COVID-19 pandemic, the global consumption of single-use surgical masks has risen immensely, and it is expected to grow in the coming years. Simultaneously, the disposal of surgical masks in the environment has caused plastic pollution, and therefore, it is exigent to find innovative ways to handle this problem. In this study, surgical masks were processed in a laboratory using the mechanical grinding method to obtain recycled surgical masks (RSM). The RSM was added in doses of 0%, 1%, 2%, 3%, and 4% by volume of geopolymer bricks, which were synthesized with ground granulated blast furnace slag (GGBS), rice husk ash (RHA), sand, and sodium silicate (Na2SiO3) at ambient conditions for a duration of 28 days. The developed bricks were tested for compressive strength, flexural strength, density, water absorption, efflorescence, and drying shrinkage. The results of the study reveal that compressive strength and flexural strength improved with the inclusion of RSM in the bricks. The highest values of compressive strength and flexural strength were 5.97 MPa and 1.62 MPa for bricks with 4% RSM, respectively. Further, a reduction in the self-weight of the bricks was noticed with an increase in RSM. There was no pronounced effect of RSM on the water absorption and efflorescence properties. However, the RSM played a role in reducing the drying shrinkage of the bricks. The sustainability analysis divulges the catalytic role of RSM in improving material performance, thereby proving to be a potential candidate for low-carbon material in the construction industry.  2023 by the authors.</text>
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                <text>Thoudam K.; Hossiney N.; Lakshmish Kumar S.; Alex J.; Prakasan S.; Chandra S.; Urs Y.; Arunkumar A.S.</text>
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                <text>Recycling, Vol-8, No. 6</text>
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                <text>Multidisciplinary Digital Publishing Institute (MDPI)</text>
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                <text>&lt;a href="https://doi.org/10.3390/recycling8060093" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.3390/recycling8060093&lt;/a&gt;
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                <text>Thoudam K., Department of Civil Engineering, Christ University, Bangalore, 560074, India; Hossiney N., Department of Civil Engineering, Christ University, Bangalore, 560074, India; Lakshmish Kumar S., Department of Civil Engineering, Christ University, Bangalore, 560074, India; Alex J., Department of Civil Engineering, Christ University, Bangalore, 560074, India; Prakasan S., Research Associate, Energy Studies Institute, National University of Singapore, Singapore, 117566, Singapore; Chandra S., Department of Civil Engineering, Christ University, Bangalore, 560074, India; Urs Y., Department of Civil Engineering, Christ University, Bangalore, 560074, India; Arunkumar A.S., Department of Civil Engineering, BMS College of Engineering, Bangalore, 560019, India</text>
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                <text>Recycling carbon tax for inclusive green growth: A CGE analysis of India</text>
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                <text>Carbon tax; cge; Energy; Green growth; Income distribution; India</text>
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                <text>In this decade, India has been pursuing a low carbon inclusive growth strategy. However, carbon tax, the most direct price instrument to reduce carbon emissions, has not found favour with policymakers because of its supposed detrimental effects on economic growth and income distribution. In the Indian context, the literature indicates that though carbon tax is extremely effective in abating carbon emissions, it simultaneously leads to reductions in GDP. There is, thus, an undesirable trade-off between economic growth and climate change mitigation. However, in trying to overcome this trade-off through a double-dividend from carbon tax, these studies have not really explored all possible options. Whether the carbon tax will yield a double-dividend or not, will depend upon how the carbon tax revenue is recycled. The present paper fills this gap in the literature on recycling carbon tax for inclusive green growth by exploring the consequences of using carbon tax revenue for investment to build capacity in all sectors or exclusively in the clean energy sectors and to execute transfers to households to improve the distribution of income. This analysis has been done with a recursively dynamic India-specific CGE model having a disaggregated energy sectors and an endogenous income distribution module.  2020 Elsevier Ltd</text>
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                <text>Ojha V.P.; Pohit S.; Ghosh J.</text>
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                <text>Energy Policy, Vol-144</text>
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              <elementText elementTextId="123977">
                <text>Elsevier Ltd</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.enpol.2020.111708" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.enpol.2020.111708&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086719138&amp;amp;doi=10.1016%2Fj.enpol.2020.111708&amp;amp;partnerID=40&amp;amp;md5=54e74a3a3e8367c0c89a69971aa2518e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85086719138&amp;amp;doi=10.1016%2fj.enpol.2020.111708&amp;amp;partnerID=40&amp;amp;md5=54e74a3a3e8367c0c89a69971aa2518e&lt;/a&gt;</text>
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                <text>ISSN: 3014215; CODEN: ENPYA</text>
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                <text>Ojha V.P., Christ (Deemed to be University), Delhi-NCR, India; Pohit S., National Council of Applied Economic Research, India; Ghosh J., Policy Modelling Association for Inclusive Development (PMAID), Delhi, India</text>
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                  <text>Exhibit</text>
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      <name>Still Image</name>
      <description>A static visual representation. Examples include paintings, drawings, graphic designs, plans and maps. Recommended best practice is to assign the type Text to images of textual materials.</description>
      <elementContainer>
        <element elementId="7">
          <name>Original Format</name>
          <description>The type of object, such as painting, sculpture, paper, photo, and additional data</description>
          <elementTextContainer>
            <elementText elementTextId="9498">
              <text>Engraved solid pure silver ingots, layered with pure 24-carat gold</text>
            </elementText>
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        </element>
        <element elementId="10">
          <name>Physical Dimensions</name>
          <description>The actual physical size of the original image</description>
          <elementTextContainer>
            <elementText elementTextId="9499">
              <text>Stamp size is 41.50 mm x 24.50 mm&#13;
Gold Replica is 2.2mm thick with diamond cut perforations</text>
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                <text>Red Fort, Delhi stamp, a commemorative postage stamp was issued by the India Post on 15 August 1949, for the second anniversary of Indian Independence. The Prime Minister of India hoists the national flag on Independence Day at the main gate of this beautiful structure. It has also been declared as a UNESCO World Heritage Site in 2007.</text>
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            <name>Source</name>
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              <elementText elementTextId="9493">
                <text>Pride of India Collection</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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                <text>Authority of India Post</text>
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                <text>1949-12-21</text>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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          <element elementId="50">
            <name>Title</name>
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                <text>Redefined families and subsystems: Reading kinship and hierarchical structures in select Hijra autobiographies</text>
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          </element>
          <element elementId="49">
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            <description>The topic of the resource</description>
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                <text>Caste; Class; Family; Subsystems</text>
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            <description>An account of the resource</description>
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                <text>Hijras or transwomen in India are gendered identities, but their identities cannot be reduced to the conceptual framework and analysis of sex, gender and sexuality. Being the minority in India, transgender lives intersect with caste, class, kinship and hierarchy. The study locates these intersections within the scope of the select hijra autobiographies; The Truth About Me: A Hijra Life Story by A. Revathi and I am Vidya by Vidya. The study looks at the notions of family which are traditionally woven in heteronormative and patriarchal setups. It examines the gharanas system or subsystems in hijra communities that redefines the structures and hierarchies of the family, and designating the fellow elder hijras with the relation of mata (mother) and cela (disciple), thus forming a kinship which is located beyond the caste, class and religious structures. The emphasis is to study how families are inserted in heteronormative perspectives and argues a redefining of the notion of family,and to establish and recognize the newer perspectives on family which lies outside the traditional setup.  AesthetixMS 2020.</text>
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                <text>Tanupriya</text>
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              <elementText elementTextId="121929">
                <text>Rupkatha Journal on Interdisciplinary Studies in Humanities, Vol-12, No. 5</text>
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            <name>Publisher</name>
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              <elementText elementTextId="121930">
                <text>Aesthetics Media Services</text>
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                <text>&lt;a href="https://doi.org/10.21659/RUPKATHA.V12N5.RIOC1S11N1" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.21659/RUPKATHA.V12N5.RIOC1S11N1&lt;/a&gt;
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            <name>Rights</name>
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              <elementText elementTextId="121933">
                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 9752935</text>
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            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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              <elementText elementTextId="121938">
                <text>Tanupriya, Department of Languages, School of Social Sciences and Humanities, Christ (Deemed to be University)</text>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Redefining copreneurs: a four decadal review adopting computer aided text analysis</text>
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            <description>The topic of the resource</description>
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                <text>Copreneurs; Copreneurship; Definition; Family business; Structured review; Text-analysis</text>
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                <text>Rajamohan K., CHRIST University, Bangalore, Karnataka, India; Manu K.S., CHRIST University, Bangalore, Karnataka, India; Janardhanan A.K., Southern Cross Institute, Parramatta, NSW, Australia; Rangasamy S., CHRIST University, Bangalore, Karnataka, India</text>
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                <text>A significant role in clinical treatment and educational tasks is played by clinical image classification. However, the traditional approach has reached its peak in terms of implementation. Additionally, using traditional approaches requires a lot of time and effort to remove and choose arrangement features. The deep learning (DL) model is a new machine learning (ML) technique that has proven effective for various classification problems. To alter image classification problems, the convolutional neural network performs well, with the best results. This chapter discusses the importance and challenges of deep learning models in medical image classification and explains some techniques for reducing overfitting and leveraging model performance during model training.  2024 Taylor &amp;amp; Francis Group, LLC.</text>
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                <text>Raju N., Department of Computer Science, Christ University, Bangalore, India; Augustine D.P., Department of Computer Science, Christ University, Bangalore, India</text>
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                <text>Reducing approximation error with rapid convergence rate for non-negative matrix factorization (NMF)</text>
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                <text>Clustering; Document Retrieval; Non-Negative Matrix Factorization (NMF); Singular Value Decomposition (SVD)</text>
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                <text>Non-Negative Matrix Factorization (NMF) is utilized in many important applications. This paper presents development of an efficient low rank approximate NMF algorithm for feature extraction related to text mining and spectral data analysis. NMF can be used for clustering. NMF factorizes a positive matrix A to two positive matrices W and H matrices where A = WH. The proposal uses k-means clustering algorithm to determine the centroid of each cluster and assigns the centroid coordinates of each cluster as one column for W matrix. The initial choice of W matrix is positive. The H matrix is determined with gradient descent algorithm based on thin QR optimization. The performance comparison of the proposed NMF algorithm is illustrated with results. The accurate choice of initial positive W matrix reduces approximation error and the use of thin QR algorithm in combination with gradient descent approach provides rapid convergence rate for NMF. The proposed algorithm is implemented with the randomly generated matrix in MATLAB environment. The number of significant singular values of the generated matrix is selected as the number of clusters. The error and convergence rate comparison of the proposed algorithm with the current algorithms are demonstrated in this research. The accurate measurement of execution time for individual program is not possible in MATLAB. The average time execution over 200 iterations is therefore calculated with an increasing iteration count of the proposed algorithm and the comparative results are presented.  2021 by authors, all rights reserved.</text>
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                <text>Biswas J.; Kayal P.; Samanta D.</text>
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                <text>Mathematics and Statistics, Vol-9, No. 3, pp. 285-289.</text>
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                <text>&lt;a href="https://doi.org/10.13189/ms.2021.090309" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.13189/ms.2021.090309&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105660636&amp;amp;doi=10.13189%2Fms.2021.090309&amp;amp;partnerID=40&amp;amp;md5=c9a363a5ab129aff482b82d71e75c847" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85105660636&amp;amp;doi=10.13189%2fms.2021.090309&amp;amp;partnerID=40&amp;amp;md5=c9a363a5ab129aff482b82d71e75c847&lt;/a&gt;</text>
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 23322071</text>
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                <text>Biswas J., Department of Computer Science, Christ University, Bangalore, India; Kayal P., Don Bosco School, Park Circus, Kolkata, India; Samanta D., Department of Computer Science, Christ University, Bangalore, India</text>
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                <text>The differential geometric method of the center manifold theorem is applied to the magnetic-Lorenz model of ferrofluid convection in an electrically non-conducting ferrofluid. The analytically intractable tri-modal nonlinear autonomous system (magnetic-Lorenz model) is reduced to an analytically tractable uni-modal cubicquintic GinzburgLandau equation. The inadequacy of the cubic GinzburgLandau equation and the need for the cubicquintic one is shown in the paper. The heat transport is quantified using the solution of the cubicquintic equation and the effect of ferrofluid parameters on it is demonstrated. The stable and unstable regions in the conductive regime and the conductive-convective regime is depicted using a bifurcation diagram. The noticeable discrepancy between the results of the two models is highlighted and the quintic non-linearity effects are delineated.  2021, Foundation for Scientific Research and Technological Innovation.</text>
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                <text>ISSN: 9713514</text>
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                <text>Siddheshwar P.G., Department of Mathematics, CHRIST (Deemed to be University), Hosur Road Campus, Bengaluru, 560029, India; Sushma T.S., Department of Mathematics, B.N.M. Institute of Technology, Bengaluru, 560070, India, Department of Mathematics (VTU RC), CMR Institute of Technology, Bengaluru, India</text>
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                <text>Reflection of Public Policy on Environment</text>
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                <text>Devaiah N G</text>
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              <elementText elementTextId="3470">
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                <text>Reflections on the issues and determinants associated with women's career progression in hospitality industry at Bengaluru /</text>
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                <text>Hospitality Industry</text>
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                <text>Social Sciences International Research Journal, Vol.2, Special Issue, ISSN: 2935-0544.</text>
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                <text>Dinakaran, Usha.</text>
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                <text>&lt;a href="https://www.imrfjournals.com/_files/ugd/8b382d_6bdbe4c93f9a4c188ed909ca0d53a628.pdf" target="_blank" title="Reflections on the issues and determinants associated with women's career progression in hospitality industry at Bengaluru" rel="noreferrer noopener"&gt;https://www.imrfjournals.com/_files/ugd/8b382d_6bdbe4c93f9a4c188ed909ca0d53a628.pdf&lt;/a&gt;</text>
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                <text>IMRF</text>
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                <text>2016-02-14</text>
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              <elementText elementTextId="13820">
                <text>Journal Article</text>
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      <name>Article</name>
      <description>Faculty Publications -Articles</description>
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        <description>The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.</description>
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          <element elementId="50">
            <name>Title</name>
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                <text>Reflective thinking in school: a systematic review</text>
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                <text>Everything around us changes rapidly and to adapt to these constantly changing conditions and to understand the meaning of our life in the society in which we live, we must reflectively and consciously think about our actions in each given scenario. A school is a miniature form of society where learners are exposed to situations where they need to find solutions for every problem faced. No faultless solution and conclusions can be arrived at without a carefully employed reflective thinking process. In this context, the present study reviewed 19 intervention studies on reflective thinking in schools published between 2010 and 2021 and presents a brief summary. Various theories on reflective thinking, approach of educationists on reflective thinking of students and the relation between reflective thinking and students academic performance, are extensively analyzed. The findings of the study reveal that there are a few generally accepted theories of reflective thinking; reflection is a useful learning strategy and reflective thinking is an essential characteristic of academic excellence. This study recommends future research with a wider scope to accommodate more theoretical perspectives and wide-ranging databases.  2024, Institute of Advanced Engineering and Science. All rights reserved.</text>
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                <text>Titus A.; Muttungal P.V.</text>
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                <text>International Journal of Evaluation and Research in Education , Vol-13, No. 2, pp. 742-751.</text>
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                <text>Institute of Advanced Engineering and Science</text>
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                <text>&lt;a href="https://doi.org/10.11591/ijere.v13i2.26573" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.11591/ijere.v13i2.26573&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183906242&amp;amp;doi=10.11591%2Fijere.v13i2.26573&amp;amp;partnerID=40&amp;amp;md5=105704c024fecd29c60b0658dd095f38" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85183906242&amp;amp;doi=10.11591%2fijere.v13i2.26573&amp;amp;partnerID=40&amp;amp;md5=105704c024fecd29c60b0658dd095f38&lt;/a&gt;</text>
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              <elementText elementTextId="81596">
                <text>All Open Access; Hybrid Gold Open Access</text>
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                <text>ISSN: 22528822</text>
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            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>English</text>
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          </element>
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                <text>Titus A., Department of Education, Christ University, Bengaluru, India; Muttungal P.V., Department of Education, Faculty of Arts and Humanities, Christ University, Bengaluru, India</text>
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      <description>Faculty Publications- Conference Papers</description>
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                <text>Reflector Backed Conical Dielectric Resonator Antenna with Enhanced Gain</text>
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                <text>Dielectric resonator antenna; high gain; reflector; wide band</text>
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                <text>This paper reports a wideband, high gain, slot coupled reflector backed conical dielectric resonator antenna (DRA). The key findings of the work are as follows; i) the antenna operates over 7.73-8.3 GHz, with peak gain of 10.32 dBi, ii) an gain enhancement &amp;gt; 5dBi achieved by placing a reflector below the ground plane, iii) the measured results best matches with their measured counter parts, iv) the antenna deals with many advantages, including performance, volume, and fabrication feasibility. From application point of view the developed model can be successfully used for X-band wireless communication.  2018 IEEE.</text>
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                <text>Kumar Dash S.K.; Khan T.</text>
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                <text>&lt;a href="https://doi.org/10.1109/INCAP.2018.8770858" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/INCAP.2018.8770858&lt;/a&gt;
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                <text>Kumar Dash S.K., Dept. of Electronics and Communication Engineering, CHRIST (Deemed to Be University), Bengaluru, India; Khan T., Dept. of Electronics and Communication Engineering, National Institute of Technology Silchar, Silchar, India</text>
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