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                <text>Over the past few decades, there was significant increase in research concerning resources that have certain desirable characteristics like renewability, ease of availability, economic value, excellent mechanicalthermal properties, biocompatibility and biodegradability. Cellulose is one such resource that possesses these characteristics and yet various sources that constitute ample quantities of lignocellulose are discarded, as their peculiarities and applications were not widely known to the population. Agro wastes, which are generated every year at a tremendous rate, are viewed as a promising substrate for the commercial extraction of cellulose. Hence in this review, an appropriate utilization of these agricultural by-products, with respect to extraction of cellulose is discussed, so as to ameliorate their applications in an aim to diminish the disposal rate of essential commodities.  2021 World Research Association. All rights reserved.</text>
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                <text>Kariyadan S.; Umesh M.</text>
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                <text>Research Journal of Chemistry and Environment, Vol-25, No. 10, pp. 158-171.</text>
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                <text>ISSN: 9720626</text>
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                <text>Kariyadan S., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Karnataka, Bangalore, India</text>
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                <text>A review on feature selection algorithms</text>
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                <text>Classification; Feature selection; Genetic algorithm; Wrapper method</text>
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                <text>A large number of data are increasing in multiple fields such as social media, bioinformatics and health care. These data contain redundant, irrelevant or noisy data which causes high dimensionality. Feature selection is generally used in data mining to define the tools and techniques available for reducing inputs to a controllable size for processing and analysis. Feature selection is also used for dimension reduction, machine learning and other data mining applications. A survey of different feature selection methods are presented in this paper for obtaining relevant features. It also introduces feature selection algorithm called genetic algorithm for detection and diagnosis of biological problems. Genetic algorithm is mainly focused in the field of medicines which can be beneficial for physicians to solve complex problems. Finally, this paper concludes with various challenges and applications in feature selection.  Springer Nature Singapore Pte Ltd 2019.</text>
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                <text>Colaco S.; Kumar S.; Tamang A.; Biju V.G.</text>
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                <text>Advances in Intelligent Systems and Computing, Vol-906, pp. 133-153.</text>
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                <text>ISSN: 21945357; ISBN: 978-981136000-8</text>
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                <text>Colaco S., Department of CSE, Christ(Deemed to Be University), Bangalore, 560029, India; Kumar S., Department of CSE, Christ(Deemed to Be University), Bangalore, 560029, India; Tamang A., Department of CSE, Christ(Deemed to Be University), Bangalore, 560029, India; Biju V.G., Department of CSE, Christ(Deemed to Be University), Bangalore, 560029, India</text>
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                <text>A Review on Fish Skin-Derived Gelatin: Elucidating the Gelatin PeptidesPreparation, Bioactivity, Mechanistic Insights, and Strategies for Stability Improvement</text>
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                <text>applications; bio-functionality; characteristics; fish skin; gelatin; gelatin peptides; limitations; stability</text>
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                <text>Fish skin-derived gelatin has garnered significant attention recently due to its abundant availability and promising bioactive properties. This comprehensive review elucidates various intricacies concerning fish skin-derived gelatin peptides, including their preparation techniques, bioactive profiles, underlying mechanisms, and methods for stability enhancement. The review investigates diverse extraction methods and processing approaches for acquiring gelatin peptides from fish skin, emphasizing their impact on the peptide composition and functional characteristics. Furthermore, the review examines the manifold bioactivities demonstrated by fish skin-derived gelatin peptides, encompassing antioxidant, antimicrobial, anti-inflammatory, and anticancer properties, elucidating their potential roles in functional food products, pharmaceuticals, and nutraceuticals. Further, mechanistic insights into the functioning of gelatin peptides are explored, shedding light on their interactions with biological targets and pathways. Additionally, strategies aimed at improving the stability of gelatin peptides, such as encapsulation, modification, and integration into delivery systems, are discussed to extend the shelf life and preserve the bioactivity. Overall, this comprehensive review offers valuable insights into using fish skin-derived gelatin peptides as functional ingredients, providing perspectives for future research endeavors and industrial applications within food science, health, and biotechnology.  2024 by the authors.</text>
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                <text>Joy J.M.; Padmaprakashan A.; Pradeep A.; Paul P.T.; Mannuthy R.J.; Mathew S.</text>
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                <text>Foods, Vol-13, No. 17</text>
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                <text>&lt;a href="https://doi.org/10.3390/foods13172793" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.3390/foods13172793&lt;/a&gt;
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                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 23048158</text>
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                <text>Joy J.M., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India, Faculty of Marine Sciences, Cochin University of Science and Technology, Kerala, Cochin, 682022, India, Department of Zoology, St. Teresas College (Autonomous), Kerala, Ernakulam, 682011, India; Padmaprakashan A., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India, Faculty of Marine Sciences, Cochin University of Science and Technology, Kerala, Cochin, 682022, India, Department of Life Sciences, Christ University, Hosur Main Road, Bhavani Nagar, Karnataka, Bangalore, 560029, India; Pradeep A., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India, Faculty of Marine Sciences, Cochin University of Science and Technology, Kerala, Cochin, 682022, India; Paul P.T., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India, Faculty of Marine Sciences, Cochin University of Science and Technology, Kerala, Cochin, 682022, India; Mannuthy R.J., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India, Faculty of Marine Sciences, Cochin University of Science and Technology, Kerala, Cochin, 682022, India; Mathew S., Biochemistry and Nutrition Division, ICAR-Central Institute of Fisheries Technology, Kerala, Cochin, 682029, India</text>
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                <text>Gated Recurrent Units (GRU); Long Short-Term Memory (LSTM)network; Multilayer Perception Layer (MLP) architecture; Precipitation; Recurrent Neural Network (RNN)</text>
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                <text>Flood occurs as often as possible happens due to many environmental changes in our planet in the present years. The occurrence and damages caused by flood is very high. Major cause of flood is due to heavy rainfall which in turn increases the water level of the rivers and other water bodies. The various factors that play a major role in the occurrence of rainfall are rise in temperature, humidity level, dew point, pressure in and around the area of concern, wind speed, etc. In order to reduce the number of victims due to flood it is necessary to have a system to predict flood occurrence. In this paper, we classify and analyzed the various prediction algorithms which show usage of Deep Neural Network produces better results. In addition, a design model has been proposed to predict the flood by training the Deep Neural Network with the above-mentioned factors.  2020, Asian Research Association. All rights reserved.</text>
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            <description>An entity primarily responsible for making the resource</description>
            <elementTextContainer>
              <elementText elementTextId="123612">
                <text>Ullah T.F.; Gnana Prakasi O.S.; Kanmani P.</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="48">
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            <elementTextContainer>
              <elementText elementTextId="123613">
                <text>International Research Journal of Multidisciplinary Technovation, Vol-2, No. 5, pp. 8-14.</text>
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            </elementTextContainer>
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            <name>Publisher</name>
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                <text>Asian Research Association</text>
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                <text>2020-01-01</text>
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                <text>&lt;a href="https://doi.org/10.34256/irjmt2052" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.34256/irjmt2052&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130881065&amp;amp;doi=10.34256%2Firjmt2052&amp;amp;partnerID=40&amp;amp;md5=a7e437201302286858f3e007e63e7c80" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130881065&amp;amp;doi=10.34256%2firjmt2052&amp;amp;partnerID=40&amp;amp;md5=a7e437201302286858f3e007e63e7c80&lt;/a&gt;</text>
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            <elementTextContainer>
              <elementText elementTextId="123617">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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              <elementText elementTextId="123618">
                <text>ISSN: 25821040</text>
              </elementText>
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              <elementText elementTextId="123620">
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                <text>Ullah T.F., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Gnana Prakasi O.S., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India; Kanmani P., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>A Review On Geospatial Intelligence For Investigative Journalism</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="177217">
                <text>Geospatial Intelligence; Investigative Journalism; Satellite Imagery; Suez Canal; Uttarakhand Landslide</text>
              </elementText>
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            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="177218">
                <text>Throughout the ongoing Russian invasion of Ukraine, satellite images like the vast convoy of Russian military vehicles approaching the beleaguered Ukrainian city of Kyiv, Russian aircraft deployed at Zyabrovka, Belarus and many more such visuals have been in circulation and are being used as a tool to facilitate investigative journalistic studies. Such satellite-based images are one of the latest means of accessing vital data that can help in expanding the scope and impact of investigative journalism. Geospatial intelligence uses varied graphical content to convey information about the activities that occur on the surface of the earth. It includes colour and panchromatic (black and white) aerial photographs, multispectral or hyperspectral digital imagery, and products such as shaded relief maps or three-dimensional images produced from digital elevation models. The improving technology in geospatial spectra has broadened the scope of its usage to investigative journalism which lies at the core of this review paper. Some of the path-breaking journalistic stories that have come up in the past decade - imaging of the Uttarakhand landslide in 2021 using satellite images, coverage of the Fukushima nuclear plant since 2011, and 2021 tracking of Asia's border disputes emerging due to climate change and the satellite journalism built around the blockage of Suez canal in 2021 - showcase the potential that geospatial intelligence has in the domain of journalism. All four identified stories point out how we can practice satellite-based investigative studies, especially, for scrutinizing and comparing historical records regarding cross-border issues as well as the disappearance of pastures and forests in vast open lands. However, the arena of using geospatial intelligence, enabled by satellite images, remains underutilized and limited to specific journalistic organizations, based in a few countries. This exploratory review of the four mentioned journalistic accounts identifies the contexts where such efforts are feasible, methods that are required, sources that could be tapped, associated skill sets needed for its usage, the dynamics of such investigative approaches, and their scope and limitations. This review and the conclusions drawn from the above-mentioned cases provides a direction for journalists from small organizations and low income countries to explore the potential of satellite-based images in furthering their investigative reporting with a technological edge that persists to be sovereign in the geopolitical powerplay. Copyright  2022 by the International Astronautical Federation (IAF). All rights reserved.</text>
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            <elementTextContainer>
              <elementText elementTextId="177219">
                <text>Harshitha V.; Nainani M.; Padmakumar M.M.; Kumar R.</text>
              </elementText>
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          <element elementId="48">
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            <elementTextContainer>
              <elementText elementTextId="177220">
                <text>Proceedings of the International Astronautical Congress, IAC, Vol-2022-September</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="177221">
                <text>International Astronautical Federation, IAF</text>
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                <text>&lt;a href="" target="_blank" rel="noreferrer noopener"&gt;&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167595784&amp;amp;partnerID=40&amp;amp;md5=3e834fe2e5a4b64512ff88cf42a96939" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85167595784&amp;amp;partnerID=40&amp;amp;md5=3e834fe2e5a4b64512ff88cf42a96939&lt;/a&gt;</text>
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          </element>
          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="177224">
                <text>Restricted Access</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="46">
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            <description>A related resource</description>
            <elementTextContainer>
              <elementText elementTextId="177225">
                <text>ISSN: 741795</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="177226">
                <text>Online</text>
              </elementText>
            </elementTextContainer>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="177227">
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              </elementText>
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          </element>
          <element elementId="51">
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            <description>The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant</description>
            <elementTextContainer>
              <elementText elementTextId="177229">
                <text>Harshitha V., Department of Media and Communication Studies, Christ Deemed to be University, Hosur Road, Bhavani Nagar, S G Palya, Karnataka, Bengaluru, 560054, India; Nainani M., Department of Media and Communication Studies, Christ Deemed to be University, Hosur Road, Bhavani Nagar, S G Palya, Karnataka, Bengaluru, 560054, India; Padmakumar M.M., Department of Media and Communication Studies, Christ Deemed to be University, Hosur Road, Bhavani Nagar, S G Palya, Karnataka, Bengaluru, 560054, India; Kumar R., Grahaa Space, Lomonosov Moscow State University (MSU), Karnataka, Bengaluru, India</text>
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  <item itemId="18834" public="1" featured="0">
    <collection collectionId="15">
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          <elementContainer>
            <element elementId="50">
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              <elementTextContainer>
                <elementText elementTextId="44496">
                  <text>Book Chapter</text>
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          </elementContainer>
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="159364">
                <text>A Review on Influence of Cutting Fluid on Improving the Machinability of Inconel 718</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="159365">
                <text>Ceramic inserts; CNC milling machine; Flank surface; Inconel 718; Rake surface</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="159366">
                <text>Nickel-based superalloys are widely used in the production and manufacturing sectors that require processes or applications that endure or operate at very high superheating temperatures. With the properties of high tensile strength, high melting point, and lightweight structural arrangement of molecules within the alloy material composition makes it more suitable for industrial utilization in aerospace industries and marine applications. This review paper discusses the use of various coolant lubricants that improves the machinability of Inconel 718 based on parameters such as surface roughness and tool wear under the influence of cutting speed, feed rate, and depth of cut. The machine used for analysis is CNC milling machine which will be used for experimentation using ceramic inserts as end milling tool. Various cooling techniques such as hybrid cooling, flood emulsion cooling, minimum quantity lubrication, and cryogenic cooling are being summarized in this paper from various experimentations and conclusions of other authors. On the basis of review, the hybrid cooling technique is found to be better than other cooling techniques because of its ability to obtain long tool life and smoother surface finish on the workpiece. With the use of these reviewed data, further research for finding a more compatible and effective cooling lubricant has to be done by experimentation in order to obtain an improved machining process for Inconel 718 material.  2020, Springer Nature Singapore Pte Ltd.</text>
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            <elementTextContainer>
              <elementText elementTextId="159367">
                <text>Sivadasan P.; Sharma G.S.; Rout I.S.; Pal Pandian P.</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="48">
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="159368">
                <text>Springer Proceedings in Materials, Vol-8, pp. 497-504.</text>
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            <name>Publisher</name>
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                <text>Springer Nature</text>
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                <text>2020-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1007/978-981-15-7827-4_50" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/978-981-15-7827-4_50&lt;/a&gt;
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          <element elementId="47">
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="159372">
                <text>Restricted Access</text>
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            </elementTextContainer>
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                <text>ISSN: 26623161</text>
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          </element>
          <element elementId="42">
            <name>Format</name>
            <description>The file format, physical medium, or dimensions of the resource</description>
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                <text>English</text>
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            </elementTextContainer>
          </element>
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              <elementText elementTextId="159377">
                <text>Sivadasan P., CHRIST (Deemed to be University), Bangalore, India; Sharma G.S., CHRIST (Deemed to be University), Bangalore, India; Rout I.S., CHRIST (Deemed to be University), Bangalore, India; Pal Pandian P., CHRIST (Deemed to be University), Bangalore, India</text>
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          <elementContainer>
            <element elementId="50">
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              <elementTextContainer>
                <elementText elementTextId="64">
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          <element elementId="50">
            <name>Title</name>
            <description>A name given to the resource</description>
            <elementTextContainer>
              <elementText elementTextId="115171">
                <text>A review on metal nanoparticles from medicinal plants: Synthesis, characterization and applications</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
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              <elementText elementTextId="115172">
                <text>Anti-cancerous; Anti-diabetic; Anti-larval; Anti-microbial; Dye degradation; Food preservation; Green nanotechnology; Medicinal plants; Plant growth enhancement</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="41">
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            <description>An account of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="115173">
                <text>Plant extracts contain secondary metabolites which have the potential to act as reducing and stabilizing agents contributing to a greener and more efficient method to synthesize nanoparticles. Rapid growth of Nanotechnology has led to an increased demand in various fields. This review summarizes the use of potent medicinal plant extracts to synthesize metal nanoparticles, methods employed to characterize the properties of the nanoparticles and its application. Characterization of the nanoparticle based on its shape, size, chemical bonds, surface properties, hydrodynamic diameter and crystalline structure using techniques such as UV-Visible Spectroscopy, XRD (X-ray Diffraction), TEM (Transmission Electron Microscopy), SEM (Scanning Electron Microscopy), EDS (X-ray energy dispersive spectroscopy), DLS (Dynamic Light Scattering), Zeta Potential and FTIR (Fourier Transform-Infrared Spectroscopy) are elaborated. The synthesized metal nanoparticles have wide ranges of applications such as antimicrobial activity, antioxidative capability, anticancer effect, antidiabetic properties, plant growth enhancement, dye degradation effects and anti-larval properties. Recent advances in nanotechnology with special emphasis on plant metabolites provide an insight into their usage as plant-derived edible nanoparticles (PDNPs). Applications, limitations and future prospects of this technology have also been briefly discussed.  2021 Bentham Science Publishers.</text>
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          <element elementId="39">
            <name>Creator</name>
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            <elementTextContainer>
              <elementText elementTextId="115174">
                <text>George J.A.; Sundar S.; Paari K.A.</text>
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          </element>
          <element elementId="48">
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            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="115175">
                <text>Nanoscience and Nanotechnology - Asia, Vol-11, No. 5</text>
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            <name>Publisher</name>
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            <elementTextContainer>
              <elementText elementTextId="115176">
                <text>Bentham Science Publishers</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="40">
            <name>Date</name>
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              <elementText elementTextId="115177">
                <text>2021-01-01</text>
              </elementText>
            </elementTextContainer>
          </element>
          <element elementId="43">
            <name>Identifier</name>
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                <text>Electric vehicles (EV) penetration in the distribution systems is evident and intended to grow day by day. Power quality issues pop up in the distribution system with an increase in EV penetration. Distribution networks need to consider the power quality issues developed due to the penetration of EVs for planning and designing the system. The power quality issues, including voltage imbalance, total harmonic distortion, distribution transformer failure, and related issues, are anticipated due to EV penetration in distribution systems. Detailed review of power quality issues and mitigation techniques are detailed in this paper. Discussion on the effect of these power quality issues on the distribution systems and corresponding mitigation measures are detailed. Power quality impact mitigation techniques have been discussed recently, which exploits the bidirectional power flow of vehicle to grid vehicle to grid (V2G) and grid to vehicle grid-to-vehicle (G2V). Methods and methodologies that mitigate power quality problems in the EV penetrated distribution system is discussed. Bidirectional power flow during EV charging and discharging and power quality issues in this topology is detailed in this review paper. A discussion on future trends and different possible future research paradigms is discussed as the review's conclusion.  2022 Institute of Advanced Engineering and Science. All rights reserved.</text>
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                <text>Harish B.N., Department of Electrical and Electronics Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Surendra U., Department of Electrical and Electronics Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India</text>
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                <text>Cardiac arrest occurs as the heart muscle fails to contract properly, resulting in a sudden loss of blood supply. The ECG signal is one of the techniques for detecting cardiac electrical activity and is used to investigate heart block. In this paper different standardized work for early detection of cardiac arrest is described. Stages of ECG signal pre-processing involves denoised using digital filtering algorithms and extracting different features from clean ECG predicting cardiac arrest in early stage. Several other body parameters were also considered for this purpose. In this work denoising validation parameters were compared for showing effectiveness of the filtering algorithm and several body parameters and its implication on cardiac arrest was described.  2022 Author(s).</text>
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                <text>American Institute of Physics Inc.</text>
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                <text>Mukherjee C., Department ECE, Christ (Deemed to Be University), Bangalore, India; Selvi J.T., Department of ECE, SriSairam Engineering College, Tambaram west, Tamilnadu, Chennai, India; Ramesh M., Department of ECE, Saveetha School of Engineering, Thandalam, Chennai, India; Thomas L., Department of Social Work, Vimala College (Autonomous) Thrissur, Kerala, India; Anusuya M., IndraGanesan College of Engineering, Manikandam, Tamilnadu, Trichy, India; Lakwal V.R., Department of Zoology, Nanasaheb Yashwantrao Narayanrao, Chavan Arts, Science and Commerce College Chalisgaon Dist, MS, Jalgaon, India</text>
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                <text>A Review on Preprocessing Techniques for Noise Reduction in PET-CT Images for Lung Cancer</text>
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                <text>Cancer is one of the leading causes of death. According to World Health Organization, lung cancer is the most common cause of cancer deaths in 2020, with over 1.8 million deaths. Therefore, lung cancer mortality can be reduced with early detection and treatment. The components of early detection require screening and accurate detection of the tumor for staging and treatment planning. Due to the advances in medicine, nuclear medicine has become the forefront of precise lung cancer diagnosis. Currently, PET/CT is the most preferred diagnostic modality for lung cancer detection. However, variable results and noise in the imaging modalities and the lung's complexity as an organ have made it challenging to identify lung tumors from the clinical images. In addition, the factors such as respiration can cause blurry images and introduce other artifacts in the images. Although nuclear medicine is at the forefront of diagnosing, evaluating, and treating various diseases, it is highly dependent on image quality, which has led to many approaches, such as the fusion of modalities to evaluate the disease. In addition, the fusion of diagnostic modalities can be accurate when well-processed images are acquired, which is challenging due to different diagnostic machines and external and internal factors associated with lung cancer patients. The current works focus on single imaging modalities for lung cancer detection, and there are no specific techniques identified individually for PET and CT images, respectively, for attaining effective and noise-free hybrid imaging for lung cancer detection. Based on the survey, it has been identified that several image preprocessing filters are used for different noise types. However, for successful preprocessing, it is essential to identify the types of noise present in PET and CT images and the appropriate techniques that perform well for these modalities. Therefore, the primary aim of the review is to identify efficient preprocessing techniques for noise and artifact removal in the PET/CT images that can preserve the critical features of the tumor for accurate lung cancer diagnosis.  2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Das K.P.; Chandra J.</text>
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                <text>Lecture Notes on Data Engineering and Communications Technologies, Vol-111, pp. 455-475.</text>
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                <text>ISSN: 23674512</text>
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                <text>Tapna S., Department of Electronics &amp;amp; Communication Engineering, Brainware University, West Bengal, Barasat, 700125, India; Chakrabarti K., Department of Electronics &amp;amp; Communication Engineering, Haldia Institute of Technology, West Bengal, Haldia, 721657, India; Mukhopadhyay D., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India</text>
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                <text>Cloud users and service providers are the leading players in the cloud computing environment. This environment comprises data centers, hosts, agents and virtual machines. The cloud users application of varied loads is leased on the providers resources. Scientific applications are large-scale complex workflow problems that demand more computing power. The cloud fulfills the workflow requirements of huge availability and increased computational power. One of the most crucial issues of cloud computing is scheduling tasks for the systems effective functioning. This paper reviews several existing task-scheduling techniques based on diverse metrics. This work will help the investigators to gain a better understanding of task scheduling techniques. In order to boost an algorithms performance, a few strategies are offered. 2023 American Institute of Physics Inc.. All rights reserved.</text>
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                <text>ISSN: 0094243X; ISBN: 978-073544750-9 | CS; 2023-2024; Vol-1; 00231-00234</text>
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                <text>Sripavithra C.K., Dept. of Computer Science, Christ (Deemed to be University), Central Campus, Bangalore, India, Dept. of Computer Science, Maharanis Science College for Women (Autonomous), Mysore, India; Kirubanand V.B., Dept. of Computer Science, Christ (Deemed to be University), Central Campus, Bangalore, India</text>
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                <text>A Review on Recent Trends in Biological Applications of Non-conjugated Polymer Dots</text>
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                <text>Antibacterial; Bioimaging; Biosensing; Drug delivery; Fluorescence; Non-conjugated polymer dots</text>
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                <text>With the advancement of zero-dimensional carbon materials, carbon dots (CDs) have received immense attention owing to their exceptional optical properties, tailoring of size, and ease of functionalization. They have wide applications in fluorescent sensing, chemical sensing, bioimaging, photocatalysis, etc. Zero-dimensional polymer nanoparticles are called polymer dots (PDs) and are classified into conjugated and non-conjugated PDs based on their conjugated system. Non-conjugated polymer dots (NCPDs) do not have specific conjugated fluorophore groups, but they have superior chemical stability and water solubility than the conjugated PDs. The carbon core of NCPDs is surrounded by polymer chains containing ample functional groups such as C=O, N=O, and C=N, which are responsible for the luminescent PDs. NCPDs are less toxic, photostable, and biocompatible and are relevant in biological explorations in bioimaging, drug delivery, biosensing, etc. This mini-review provides a systematic overview of the inherent properties and the biological applications of NCPDs. It also emphasises the synergistic impacts on the optical performance of modified PDs and significant future research concerns. Graphical Abstract: [Figure not available: see fulltext.].  2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</text>
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                <text>Mathew A.A.; Balachandran M.</text>
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                <text>Mathew A.A., Department of Physics and Electronics, Christ University, Karnataka, Bangalore, 560029, India; Balachandran M., Department of Physics and Electronics, Christ University, Karnataka, Bangalore, 560029, India</text>
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                <text>A Review on Rural Womens Entrepreneurship Using Machine Learning Models</text>
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              <elementText elementTextId="172971">
                <text>Machine learning model; MSME; Rural entrepreneurship; Women</text>
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                <text>Rural womens entrepreneurship has contributed significantly to the countrys economy. Entrepreneurship rates have fluctuated in recent years, according to a variety of reasons including economic, social, and cultural influences. Therefore, machine learning models are used to assess the features to make better business decisions. In this research paper, papers from 2009 to 2022 were studied and found that machine learning models are being used to improve womens entrepreneurship. In this paper, nine machine learning models have been described in detail which include multiple regression, lasso regression, logistic regression, decision tree, Naive Bayes, clustering, classification, deep learning, artificial neural network, etc. In the study of all these models, it was found how accurately this model has been used in womens entrepreneurship work. It has been observed that by using different machine learning models with the data acquired from rural entrepreneurship, women entrepreneurs may use a new way of understanding the dynamics of rural entrepreneurship. Various machine learning models have been studied to improve rural development for women working in rural areas. Thus, we have proposed a comparative study of various machine learning models to predict entrepreneurship-based data. The findings of this study may be used to assess how rural women entrepreneurs may change the decisions made in several domains, such as making use of different economic policies and promoting the long-term viability of women entrepreneurs for the countrys economic growth.  The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.</text>
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                <text>Tadiparthi K., Department of Chemistry, CHRIST (Deemed to Be University), Hosur Road, Bangalore, 560026, India; Anand P., Department of Chemistry, CHRIST (Deemed to Be University), Hosur Road, Bangalore, 560026, India</text>
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                <text>Anxiety disorders are psychiatric conditions characterized by prolonged and generalized anxiety experienced by individuals in response to various events or situations. At present, anxiety disorders are regarded as the most widespread psychiatric disorders globally. Medication and different types of psychotherapies are employed as the primary therapeutic modalities in clinical practice for the treatment of anxiety disorders. However, combining these two approaches is known to yield more significant benefits than medication alone. Nevertheless, there is a lack of resources and a limited availability of psychotherapy options in underdeveloped areas. Psychotherapy methods encompass relaxation techniques, controlled breathing exercises, visualization exercises, controlled exposure exercises, and cognitive interventions such as challenging negative thoughts. These methods are vital in the treatment of anxiety disorders, but executing them proficiently can be demanding. Moreover, individuals with distinct anxiety disorders are prescribed medications that may cause withdrawal symptoms in some instances. Additionally, there is inadequate availability of face-to-face psychotherapy and a restricted capacity to predict and monitor the health, behavioral, and environmental aspects of individuals with anxiety disorders during the initial phases. In recent years, there has been notable progress in developing and utilizing artificial intelligence (AI) based applications and environments to improve the precision and sensitivity of diagnosing and treating various categories of anxiety disorders. As a result, this study aims to establish the efficacy of AI-enabled environments in addressing the existing challenges in managing anxiety disorders, reducing reliance on medication, and investigating the potential advantages, issues, and opportunities of integrating AI-assisted healthcare for anxiety disorders and enabling personalized therapy. Copyright  2024 Das and Gavade.</text>
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                <text>Frontiers in Artificial Intelligence, Vol-7</text>
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                <text>Electrochemical energy storage devices like supercapacitors and rechargeable batteries require an improvement in their performance at the commercial level. Among them, supercapacitors are beneficial in sustainable nanotechnologies for energy conversion and storage systems and have high power rates compared to batteries. High chemical and mechanical stability, huge electrical conductivity, and high specific surface area have been beneficial for selecting graphene as a supercapacitor electrode material. The excellent properties of transition metal oxides are accountable for the application in the field of energy storage. The synergistic effects of the composites of graphene derivatives with transition metal oxides will boost the performance of the devices. Recently, several studies have been done for developing supercapacitor electrodes with these nanocomposites. This review article presents an analysis of the performance of these nanocomposites with an overview of their specific capacitance, energy density, and cycling stability for supercapacitor electrode application. A brief introduction of the theory and experimental analysis of supercapacitors is also given.  2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</text>
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                <text>Journal of Materials Science, Vol-58, No. 14, pp. 6124-6150.</text>
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                <text>Chrisma R.B., Department of Physics and Electronics, Christ (Deemed to Be University), Karnataka, Bengaluru, 560029, India; Jafri R.I., Department of Physics and Electronics, Christ (Deemed to Be University), Karnataka, Bengaluru, 560029, India; Anila E.I., Department of Physics and Electronics, Christ (Deemed to Be University), Karnataka, Bengaluru, 560029, India</text>
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