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                <text>Normalized group activations based feature extraction technique using heterogeneous data for Alzheimers disease classification</text>
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                <text>Alzheimers disease; Classification; Deep learning; Feature extraction; Functional connectivity; Normalized group activations</text>
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                <text>Several deep learning networks are developed to identify the complex atrophic patterns of Alzheimers disease (AD). Among various activation functions used in deep neural networks, the rectifier linear unit is the most used one. Even though these functions are analyzed individually, group activations and their interpretations are still not explored for neuroimaging analysis. In this study, a unique feature extraction technique based on normalized group activations that can be applied to both structural MRI and resting-state-fMRI (rs-fMRI) is proposed. This method is split into two phases: multi-trait condensed feature extraction networks and regional association networks. The initial phase involves extracting features from various brain regions using different multi-layered convolutional networks. Then, multiple regional association networks with normalized group activations for all the regional pairs are trained and the output of these networks is given as input to a classifier. To provide an unbiased estimate, an automated diagnosis system equipped with the proposed feature extraction is designed and analyzed on multi-cohort Alzheimers Disease Neuroimaging Initiative (ADNI) data to predict multi-stages of AD. This system is also trained/tested on heterogeneous features such as non-transformed features, curvelets, wavelets, shearlets, textures, and scattering operators. Baseline scans of 185 rs-fMRIs and 1442 MRIs from ADNI-1, ADNI-2, and ADNI-GO datasets are used for validation. For MCI (mild cognitive impairment) classifications, there is an increase of 14% in performance. The outcome demonstrates the good discriminatory behaviour of the proposed features and its efficiency on rs-fMRI time-series and MRI data to classify multiple stages of AD.  2024 Vaithianathan et al.</text>
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                <text>Vaithianathan K.; Pernabas J.B.; Parthiban L.; Rashid M.; Alshamrani S.S.</text>
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                <text>PeerJ Computer Science, Vol-10, pp. 1-30.</text>
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                <text>Vaithianathan K., Department of Computer Engineering, Karaikal Polytechnic College, Karaikal, Puducherry, Varichikudy, India; Pernabas J.B., Department of Computer Science and Engineering, CHRIST (Deemed to be University, Kengeri Campus, Karnataka, India; Parthiban L., Department of Computer Science and Engineering, Community College, Pondicherry University, Puducherry, India; Rashid M., School of Information Communication and Technology, Bahrain Polytechnic, Isa Town, Bahrain; Alshamrani S.S., Department of Information Technology, College of Computers and Information Technology, Taif University, Taif, Saudi Arabia</text>
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                <text>Northeast and its portrayal in broadcast media - A picture beyond terrorism and insurgency /</text>
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                <text>Sarmmah, Surupasree. - 1324055</text>
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                <text>Master of Science in Communication</text>
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                <text>Northeast India is a rich home of natural beauty and magnificence surrounding the seven sister states of Assam, Arunachal Pradesh, Meghalaya, Manipur, Mizoram, Nagaland, Tripura and the nearby hilly state of Sikkim. In any case it is a bizarre reality that such an inconceivable region of the nation stays inadequately spoken and noticed in the national cognizance.</text>
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                <text>Department of Media Studies</text>
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                <text>Notions of beauty, perception and acceptance - How people perceive product advertising /</text>
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                <text>Sravani, R S. - 1424043</text>
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                <text>Master of Arts in Media and Communication Studies</text>
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                <text>Beauty has always been an important factor in humanity. It has played a very important role in history, being recorded timeless in various arts. Needless to say it is a very important part of our world, our society and us. Though beauty can be achieved through many means, one of the most popular ways one thinks of achieving it is beauty products. These beauty products have wriggled their ways though our daily lives and have made themselves a staple through their insistent advertising which proclaim that they are the answer to all your beauty related problems. One of their proclamations is that their products help achieve perfection.</text>
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                <text>Nouveau shoppers buying behavior pattern and perception towards luxury brands</text>
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                <text>The customer perception towards purchasing luxury brands has various psychological patterns and the behviour towards purchasing such brands differs accordingly. The main objective of the study is to map the nouveau shoppers mind-set towards shopping malls and to analyze the buying behavior pattern and perception towards luxury brand on shopping malls. For this purpose a sample of 130 was collected from the respondents were percentage analysis, descriptive statistics, Kruskall Wallis test and Oneway anova were used as tools to analye the data. The conclusion is that shopping malls have higher potentiality to pull the customers to visit their places but the conversion of making every customers purchasing in the mall is based on various factors of each individual shops. The conversion towards making the consumers purchasing the products can be done to attractive displays and understanding the mindset of modern shoppers towards various products and brand.  2020 Webology Center.</text>
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                <text>Kavitha R.</text>
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                <text>Webology, Vol-17, No. 1, pp. 280-296.</text>
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                <text>Nanomaterials and nanocomposite materials have been developed as corrosion inhibitors and are the most noble and effective alternatives to traditional organic corrosion inhibitors. Nanomaterials provide reasonably high anticorrosive activity in both aqueous and solution phases. A unified approach to this task is lacking, however, which highlights the role of all disciplines involved in the creation and use of corrosion protection coatings for metals. Fouling is the process of accumulating unwanted material that is mostly non-living and comprised of detritus and organic or inorganic compounds, or organisms, such as tiny viruses up to giant kelps. This book covers both the processes of biofouling and anti(bio)fouling, and the devices that stop the biofouling process. This book provides a missing synopsis by providing an understanding of the anticorrosive and anti-biofouling effects of nanomaterials and nanocomposites under different environments. It features an up-to-date picture of the quality and chemistry of a substrate surface, its proper preparation by conversion treatment, the function of resins and anticorrosive pigments in paints, and novel concepts for corrosion protection.  2024 Scrivener Publishing LLC.</text>
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                <text>Murthy H., Dept. of Electronics and Communication Engineering, Christ University, Bengaluru, India; Pillai V.J., Dept. of Electronics and Communication Engineering, Christ University, Bengaluru, India; Kumar K.P., Dept. of Computer Science and Engineering, Christ University, Bengaluru, India; Cowan M., Dept. of Chemical and Processing Engineering, University of Canterbury, Christchurch, New Zealand</text>
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                <text>Graphene, a layered allotropic form of graphitic carbon, has fascinated the scientific world since its discovery. Its unique structural, physical, chemical, mechanical, and electrical properties find application in many areas. Because of its large surface area and its apt electrical property, it is used in electromagnetic interference shielding. With excellent carrier mobility, it is used for sensing purposes. Mechanical strength and elastic properties coupled with its lightweight make graphene a promising material as a supercapacitor. The 2-dimensional structural properties of the graphene layers can be used for the purification treatment of water and gas. The number of research in graphene applications is increasing every day, showing the importance and excellency of graphene properties. This short review provides a comprehensive understanding of graphene's properties and progress in electromagnetic interference shielding, sensors, water treatment, energy production, storage, and conversion applications such as supercapacitors, fuel cells, solar cells and electrocatalysts. 2023 Bentham Science Publishers.</text>
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                <text>Jose A., Materials Science Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Job A., Materials Science Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Jose J.K., Materials Science Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India; Balachandran M., Materials Science Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Karnataka, Bengaluru, 560029, India</text>
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                <text>&lt;a href="https://drive.google.com/file/d/12tk3D_AKuSeJ1mlELfCv7bdm6x7Nw7TJ/view" target="_blank" title="Novel approach for investigation and synthesis of non linear optical crystal /" rel="noreferrer noopener"&gt;https://drive.google.com/file/d/12tk3D_AKuSeJ1mlELfCv7bdm6x7Nw7TJ/view&lt;/a&gt;</text>
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                <text>Novel approach for nonlinear time-fractional Sharma-Tasso-Olever equation using Elzaki transform</text>
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                <text>Elzaki transform; Liouville-Caputo derivative; q-homotopy analysis method; Sharma-Tasso-Olever equation</text>
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                <text>In this article, we demonstrated the study of the time-fractional nonlinear Sharma-Tasso-Olever (STO) equation with different initial conditions. The novel technique, which is the mixture of the q-homotopy analysis method and the new integral transform known as Elzaki transform called, q-homotopy analysis Elzaki transform method (q-HAETM) implemented to find the adequate approximated solution of the considered problems. The wave solutions of the STO equation play a vital role in the nonlinear wave model for coastal and harbor designs. The demonstration of the considered scheme is done by carrying out some examples of time-fractional STO equations with different initial approximations. q-HAETM offers us to modulate the range of convergence of the series solution using ?, called the auxiliary parameter or convergence control parameter. By performing appropriate numerical simulations, the effectiveness and reliability of the considered technique are validated. The implementation of the new integral transform called the Elzaki transform along with the reliable analytical technique called the q-homotopy analysis method to examine the time-fractional nonlinear STO equation displays the novelty of the presented work. The obtained findings show that the proposed method is very gratifying and examines the complex nonlinear challenges that arise in science and innovation.  2023 Balikesir University. All rights reserved.</text>
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                <text>International Journal of Optimization and Control: Theories and Applications, Vol-13, No. 1, pp. 46-58.</text>
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                <text>Malagi N.S., Department of Mathematics, Davangere University, Shivagangothri, Davangere, 577007, India; Veeresha P., Department of Mathematics, CHRIST (Deemed to be University), Bengaluru, 560029, India; Prasanna G.D., Department of Physics, Davangere University, Shivagangothri, Davangere, 577007, India; Prasannakumara B.C., Department of Mathematics, Davangere University, Shivagangothri, Davangere, 577007, India; Prakasha D.G., Department of Mathematics, Davangere University, Shivagangothri, Davangere, 577007, India</text>
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                <text>Novel approach to the analysis of fifth-order weakly nonlocal fractional Schringer equation with Caputo derivative</text>
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                <text>Caputo derivative; Laplace transform; Parabolic law; q-HATM; Soliton solutions; Weakly nonlocal Schringer equation</text>
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                <text>The main goal of this study is to find solutions for the fractional model of the fifth-order weakly nonlocal Schringer equation incorporating nonlinearity of the parabolic law and external potential using a recent modification of the homotopy analysis method (HAM) called the q-homotopy analysis transform method (q-HATM). A mixture of q-HAM and Laplace transform is the projected solutions procedure. The method contributes approximate and exact (for some special cases) solutions such as the bright soliton, dark soliton, and exponential solutions. The simulation results using Mathematica package software, demonstrate that only a few terms are enough to achieve precise, effective, and reliable approximate solutions. In addition, in terms of plots for varying fractional order, the physical behavior of q-HATM solutions has been depicted and the numerical simulation is also exhibited. The results of q-HATM reveal that the projected method is competitive, reliable, and powerful for studying complex nonlinear models of fractional type.  2021 The Authors</text>
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              <elementText elementTextId="114170">
                <text>Akinyemi L.; Nisar K.S.; Saleel C.A.; Rezazadeh H.; Veeresha P.; Khater M.M.A.; Inc M.</text>
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                <text>Results in Physics, Vol-31</text>
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                <text>Elsevier B.V.</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.rinp.2021.104958" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.rinp.2021.104958&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119185960&amp;amp;doi=10.1016%2Fj.rinp.2021.104958&amp;amp;partnerID=40&amp;amp;md5=9e564e0417d1cb0579dd334e2f97443b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119185960&amp;amp;doi=10.1016%2fj.rinp.2021.104958&amp;amp;partnerID=40&amp;amp;md5=9e564e0417d1cb0579dd334e2f97443b&lt;/a&gt;</text>
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              <elementText elementTextId="114175">
                <text>All Open Access; Gold Open Access</text>
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                <text>ISSN: 22113797</text>
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                <text>Akinyemi L., Department of Mathematics, Lafayette College, Easton, PA, United States; Nisar K.S., Department of Mathematics, College of Arts and Sciences, Prince Sattam bin Abdulaziz University, Wadi Aldawaser, 11991, Saudi Arabia; Saleel C.A., Department of Mechanical Engineering, College of Engineering, King Khalid University, Asir-Abha, 61421, Saudi Arabia; Rezazadeh H., Faculty of Engineering Technology, Amol University of Special Modern Technologies, Amol, Iran; Veeresha P., Department of Mathematics, Christ (Deemed to be University), Bengaluru, 560029, India; Khater M.M.A., Department of Mathematics, Faculty of Science, Jiangsu University, Zhenjiang, 212013, China, Department of Mathematics, Obour High Institute For Engineering and Technology, Cairo, 11828, Egypt; Inc M., Biruni University, Department of Computer Engineering, Istanbul, Turkey, F?rat University, Science Faculty, Department of Mathematics, Elazig, 23119, Turkey, Department of Medical Research, China Medical University Hospital, China Medical University Taichung, Taiwan</text>
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                <text>Novel approaches for nonlinear Sine-Gordon equations using two efficient techniques</text>
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                <text>Clique-polynomials; Functional matrix; q-homotopy analysis transform method</text>
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                <text>In this work, we obtained a new functional matrix using Clique-polynomials of complete graphs (Formula presented.) with (Formula presented.) vertices and considered a new approach to solving the SineGordon (SG) equation. The clique polynomial method transforms this equation into a system of algebraic equations. The solution will be drawn with the help of Newton Raphsons method. Also, we employed the q-homotopy analysis transform method (q-HATM), which is the proper collision of the Laplace transform and the q-homotopy analysis method (q-HAM). To witness the reliability and accuracy of the considered schemes, some illustrations of the SG equation and double SG equation are considered. Here, the SG equation is solved easily and elegantly without using discretization or transformation of the equation by using the q-HATM. Also, in q-HATM, the presence of homotopy and axillary parameters allows us to have a large convergence region. The 3D surfaces of acquired solutions are drawn effectively. The tables of error analysis demonstrate the success of these methods.  2024 Informa UK Limited, trading as Taylor &amp;amp; Francis Group.</text>
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                <text>S K.; Veeresha P.; Prakasha D.G.; Malagi N.S.; Ramane H.S.; Pise K.S.</text>
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                <text>International Journal of Modelling and Simulation</text>
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                <text>&lt;a href="https://doi.org/10.1080/02286203.2024.2400658" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1080/02286203.2024.2400658&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205563412&amp;amp;doi=10.1080%2F02286203.2024.2400658&amp;amp;partnerID=40&amp;amp;md5=36655de9e74d6faa1cfb5586c4643cf9" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85205563412&amp;amp;doi=10.1080%2f02286203.2024.2400658&amp;amp;partnerID=40&amp;amp;md5=36655de9e74d6faa1cfb5586c4643cf9&lt;/a&gt;</text>
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                <text>S K., Department of Mathematics, Bangalore University, Bengaluru, India; Veeresha P., Department of Mathematics, Christ University, Bangalore, India; Prakasha D.G., Department of Mathematics, Davangere University, Davangere, India; Malagi N.S., Department of Mathematics, Jain College of Engineering and Research, Belagavi, Karnataka, India; Ramane H.S., Department of Mathematics, Karnatak University, Dharwad, India; Pise K.S., Department of Mathematics, Karnatak University, Dharwad, India</text>
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                <text>Novel biocompatible zinc oxide nanoparticle synthesis using Quassia indica leaf extract and evaluation of its photocatalytic, antimicrobial, and cytotoxic potentials</text>
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                <text>Antimicrobial; Cytotoxic; Degradation; Green synthesis; Quassia indica; Textile dyes; Zinc oxide nanoparticles</text>
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                <text>Prognostic research points to the necessity and relevance of revamping polluted environments. The toxic effect of textile dyes released into waterbodies can be reduced by the degradation process and alternate methods in nanotechnology are used to lessen the gravity of the situation. Compared with chemical and physical NP synthesis, plant extract-based nanoparticle synthesis is an environmentally friendly alternative method, and the use of waste leaves in this process is an added advantage. Quassia indica zinc oxide nanoparticles (QI-ZnO NPs) were synthesised in the current work employing a simple and cost-effective process using Q. indica leaf extract. The surface plasmon peak was visible in the UV-Vis absorption spectrum of the decreased reaction mixture at 346 nm. The average crystallite size of the QI-ZnO NPs was found to be 16.66 nm. The QI-ZnO NPs were found to have a stable zeta potential of ?28.4 mV. The surface morphology of the optimised QI-ZnO NPs was observed to be hexagonal using field emission scanning electron microscopy and high-resolution transmission electron microscopy. Under UV light irradiation, the photocatalytic degradation of industrial textile dyes Reactive Blue-220, Reactive Yellow-145, Reactive Red-120, and Reactive Blue-222 showed degradation efficiency of 8090%. Antibacterial and antifungal activity was assessed using well diffusion on gram-positive and gram-negative microorganisms. When administered to the A549 and MDA-MB-231 cancer cell lines, QI-ZnO NPs displayed significant anticancer activities. Limited studies in the area of plant extract-based nanoparticle synthesis mark the novelty of this attempt and this trailblazing and pioneering approach using non-toxic QI-ZnO NPs synthesised through green synthesis is futuristic and sustainable helping in effective wastewater treatment. Graphical abstract: [Figure not available: see fulltext.] 2023, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</text>
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                <text>Scaria S.S.; Sebastian J.K.</text>
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                <text>Biomass Conversion and Biorefinery</text>
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                <text>Restricted Access</text>
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                <text>ISSN: 21906815; LS; 2023-2024; Vol-1; 0440-0459</text>
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                <text>Scaria S.S., Department of Life Sciences, Christ University, Karnataka, Bangalore, 560029, India; Sebastian J.K., Department of Life Sciences, Christ University, Karnataka, Bangalore, 560029, India</text>
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                <text>Novel booster control system for fully automotive driverless vehicle /</text>
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                <text>Patent Number: 201941039882, Applicant: Dr. Debabrata Samanta.&#13;
The present disclosure presents a novel electronic booster control system for fully automotive driverless vehicle. The it discloses a system of vacuum booster with an automotive air compressor system which comprises a compression piston, a power transmission component and a power input part with integrated to plurality of sensors , servo controllers and a central control module of the fully automotive driverless vehicle.</text>
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              <elementText elementTextId="14511">
                <text>R, Nismon Rio.</text>
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              <elementText elementTextId="14512">
                <text>&lt;a href="https://drive.google.com/file/d/1C7zEGE20vG6jShSgHgp55r3VF6FBywmO/view" target="_blank" title="Novel booster control system for fully automotive driverless vehicle /" rel="noreferrer noopener"&gt;https://drive.google.com/file/d/1C7zEGE20vG6jShSgHgp55r3VF6FBywmO/view&lt;/a&gt;</text>
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              <elementText elementTextId="14513">
                <text>Intellectual Property India</text>
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            <name>Date</name>
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                <text>Novel carbon nano-onions from paraffinum liquidum for rapid and efficient removal of industrial dye from wastewater</text>
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            </elementTextContainer>
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          <element elementId="49">
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            <elementTextContainer>
              <elementText elementTextId="122483">
                <text>Carbon allotropes; Carbon nano-onions; H&lt;sub&gt;18&lt;/sub&gt; carbon; Methylene blue; Rh6 carbon</text>
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            </elementTextContainer>
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            <description>An account of the resource</description>
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              <elementText elementTextId="122484">
                <text>Carbon nano-onions (CNOs) are fascinating zero-dimensional carbon materials owning distinct multi-shell architecture. Their physicochemical properties are highly related to the parent material selected and the synthesis protocol involved. In the present work, we report for the first time novel CNO structures encompassing discrete carbon allotropes, namely, H18 carbon, Rh6 carbon, and n-diamond. These structures were cost-effectively synthesized in gram scale by facile flame pyrolysis of paraffinum liquidum, a highly refined mineral oil. The as-synthesized and chemically refashioned CNOs are quasi-spherical self-assembled mesopores, manifesting remarkable stability and hydrophilicity. The CNO structures exhibit excellent dye adsorption characteristics with high removal capacity of 1397.35mg/g and rapid adsorption kinetics with a minimal adsorbent dosage of 10mg/L, for a low concentration of 20mg/L methylene blue dye. The novel CNOs assure potential implementation in the remediation of low concentration and high volume of dye-contaminated wastewater. Graphical abstract [Figure not available: see fulltext.]  2020, Springer-Verlag GmbH Germany, part of Springer Nature.</text>
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              <elementText elementTextId="122485">
                <text>Venkatesan R.A.; Balachandran M.</text>
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              <elementText elementTextId="122486">
                <text>Environmental Science and Pollution Research, Vol-27, No. 35, pp. 43845-43864.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>&lt;a href="https://doi.org/10.1007/s11356-020-09981-w" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1007/s11356-020-09981-w&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088861656&amp;amp;doi=10.1007%2Fs11356-020-09981-w&amp;amp;partnerID=40&amp;amp;md5=9afa3dee6a5be2ee2bc3d8ff20e69700" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85088861656&amp;amp;doi=10.1007%2fs11356-020-09981-w&amp;amp;partnerID=40&amp;amp;md5=9afa3dee6a5be2ee2bc3d8ff20e69700&lt;/a&gt;</text>
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                <text>ISSN: 9441344; PubMed ID: 32737789; CODEN: ESPLE</text>
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                <text>Venkatesan R.A., Materials Science Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India; Balachandran M., Materials Science Research Laboratory, Department of Physics and Electronics, CHRIST (Deemed to be University), Bengaluru, 560029, Karnataka, India</text>
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                <text>Novel deep eutectic solvent catalysed Single-Pot open flask synthesis of Tetrasubstituted-1H-Pyrroles</text>
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                <text>Catalyst; Deep eutectic solvent; Green Chemistry; Single pot; Tetrasubstituted-1H-pyrrole; Three-component reaction</text>
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                <text>Pyrrole and its analogs have garnered immense attention due to their multifaceted biological significance and versatile applications, ranging from medicinal agents to fundamental biological pigments. Despite their prominence, pyrrole synthesis with multiple substituents is complex and calls for innovative approaches to green chemistry. This study delves into synthesizing novel 3,5-dimethyl-1H-pyrroles via multicomponent reactions (MCRs) employing deep eutectic solvents (DES). Due to their eco-friendly nature, these DESs provide a safer substitute for traditional solvents. Specifically, a novel three-component DES (3CDES) was formulated, showcasing promising catalytic activity for multiple cycles with excellent product generation. The synergy between MCR and DES elucidates their combined potential in fostering a sustainable and efficient green synthesis route with the E-factor of 0.1699.  2024 Elsevier B.V.</text>
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                <text>Lokesh Kumar S.; Tabassum S.; Govindaraju S.</text>
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              <elementText elementTextId="80897">
                <text>Journal of Molecular Liquids, Vol-401</text>
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              <elementText elementTextId="80898">
                <text>Elsevier B.V.</text>
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                <text>Lokesh Kumar S., Department of Chemistry, Christ University (Deemed to be University), Bengaluru, 560029, India; Tabassum S., Department of Chemistry, Surana College, Bengaluru, 560074, India; Govindaraju S., Department of Sciences and Humanities, Christ University (Deemed to be University), Bengaluru, 560074, India</text>
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                <text>COVID 19; LSTM; RMSProp; RNN; Sigmoid; Stress</text>
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                <text>Stress is a state of tension on an emotional or bodily level. Frustration, despair, anxiety, and other mental health problems can all be brought on by Stress. Strain is a side effect of Stress. People can openly share their views and opinions on social media networking sites like Twitter and Facebook, which are highly popular. The COVID 19 pandemic has wreaked havoc on millions of peoples lives all across the world. The public has experienced Stress as a result of the various measures employed to stop the spread of COVID 19, including confinement and social isolation. The current research seeks to develop an unique COVID 19 scenario-based deep neural network-based Stress detection system using tweets related to COVID 19. We use deep learning to create three models. RNN with single LSTM layer, two layers of LSTM with RNN followed by bidirectional LSTM layer is built to detect Stress for the considered dataset. A number of recurrent neural networks are built upon the Keras layers. The optimization algorithm called RMSProp and Sigmoid activation function is used. It is observed that RNN with 2 layers of LSTM outperforms the other deep learning architectures constructed.  2023 American Institute of Physics Inc.. All rights reserved.</text>
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                <text>&lt;a href="https://doi.org/10.1063/5.0181900" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1063/5.0181900&lt;/a&gt;
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                <text>ISSN: 0094243X; ISBN: 978-073544750-9</text>
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                <text>Jyothsna R., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Rohini V., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India; Paulose J., Department of Computer Science, Christ (Deemed to be University), Karnataka, Bengaluru, India</text>
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                <text>Novel dioxidomolybdenum complexes containing ONO chelators: Synthesis, physicochemical properties, crystal structures, Hirshfeld surface analysis, DNA binding/cleavage studies, docking, and in vitro cytotoxicity</text>
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                <text>benzoylhydrazone; cytotoxicity; ethidium bromide; Hirshfeld analysis; nuclease activity</text>
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                <text>A series of dioxidomolybdenum (VI) complexes, [MoO2(ESB)H2O]DMF (1), [MoO2(ESB)MeOH] (2), and [MoO2(ESB)H2O]EtOH (3), containing 3-ethoxysalicylaldehyde benzoylhydrazone have been synthesized and analysed using various spectral and analytical techniques such as elemental analyses, IR spectra, UVVis absorption spectra, X-ray crystallography, and Hirshfeld surface analysis. Based on the elemental and spectral analysis, six-coordinate geometry was assigned for these complexes wherein the hydrazone ligand binds to the metal centre in its dianionic enolate form through ONO donor set. Distorted octahedral geometry of complexes 1 and 2 was evidenced from their crystal structures, which is typical for many cis-dioxido complexes of MoVI. The proligand and the new complexes were examined for their DNA binding, DNA cleavage, and cytotoxic properties. The DNA binding efficiency of the compounds in terms of their binding constants (Kb) of the metal complexes was observed to be 1.3727 105 M?1, 3.0194 104 M?1, and 1.13206 104 M?1 for [MoO2(ESB)H2O]DMF (1), [MoO2(ESB)MeOH] (2), and [MoO2(ESB)H2O]EtOH (3), respectively, indicating that these complexes strongly bind to DNA. To determine the binding interactions of the complexes with DNA and protein (BSA), molecular docking studies were carried out. Gel electrophoresis study reveals the fact that the complexes cleaved supercoiled pUC-18 DNA to nicked form (Form II) in the presence and absence of H2O2. The complexes showed significantly high cytotoxicity against MCF-7 (breast cancer cells).  2021 John Wiley &amp;amp; Sons, Ltd.</text>
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                <text>Vineetha M.C.; Joy F.; Krishna P. M.; Vinod T.P.; Venkataraman S.K.; Agarwal A.K.; Nair Y.; Kurup M.R.P.</text>
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                <text>Applied Organometallic Chemistry, Vol-35, No. 9</text>
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                <text>John Wiley and Sons Ltd</text>
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                <text>&lt;a href="https://doi.org/10.1002/aoc.6334" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/aoc.6334&lt;/a&gt;
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                <text>ISSN: 2682605; CODEN: AOCHE</text>
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                <text>Vineetha M.C., Department of Applied Chemistry, Cochin University of Science and Technology, Kochi, India, Department of Chemistry, Sree Kerala Varma College, Thrissur, India; Joy F., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, India; Krishna P. M., Department of Chemistry, Ramaiah Institute of Technology, Bengaluru, India; Vinod T.P., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, India; Venkataraman S.K., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, India; Agarwal A.K., Discovery Chemistry, Syngene International Limited, Bengaluru, India; Nair Y., Department of Chemistry, CHRIST (Deemed to be University), Bengaluru, India; Kurup M.R.P., Department of Applied Chemistry, Cochin University of Science and Technology, Kochi, India, Department of Chemistry, School of Physical Sciences, Central University of Kerala, Periye, Kasaragod, India</text>
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                <text>Novel electrochemical biosensor key significance of smart intelligence (IoMT &amp;amp; IoHT) of COVID-19 virus control management</text>
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            <description>The topic of the resource</description>
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                <text>Recent outbreak of COVID-19 pandemic has led to the different possibilities of the development of treatment against corona virus. To know the phylogenicity of SARS-CoV, various studies have been conducted with the outcome of the results showing virulence is caused due to spike protein. Various detection techniques with clinical approach like imaging technology, RT-PCR etc. are comparatively expensively than the use of biosensors. Nano-biosensors have an excellent way of approach to track the conditions of individual and public providing information about the existing condition and treatment status. Electrochemical nano-biosensors are referred as an excellent way of detection. The use of graphene based electrochemical nano-biosensors are most advantageous due to its elevated properties. Fluorescence investigation is one of the precise ways of sensing, optical biosignals that helps in obtaining real time results with high accuracy and negligible changes. The potential application of nano-biosensors are very wide, improvised and advanced Nanotechnology helps in the use of nano-biosensors detect all possible biosignals. Significant ubiquitous IoT-enabled novel sensor technologies that can be potentially utilized to respond various facets the growing COVID-19 pandemic from diagnostic and therapeutics to the prevention stage.  2022 Elsevier Ltd</text>
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                <text>Paladhi A.G.; Manohar M., V; Pal K.; Vallinayagam S.; Packirisamy A.S.B.; Bashreer V.A.; Sai Nandhini R.; Ukhurebor K.E.</text>
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                <text>Process Biochemistry, Vol-122, pp. 105-109.</text>
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              <elementText elementTextId="196186">
                <text>All Open Access; Green Open Access</text>
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              <elementText elementTextId="196191">
                <text>Paladhi A.G., CHIRST (Deemed to be University), Karnataka, Bengaluru, India; Manohar M., V, JSS Medical College (Deemed to be University), Karnataka, Mysuru, India; Pal K., University Centre for Research and Development, Department of Physics, Chandigarh University, Gharuan, Punjab, Mohali, India; Vallinayagam S., Department of Biotechnology, Vel Tech Rangarajan Dr. Sagunthala R&amp;amp;D Institute of Science and Technology, Tamil Nadu, Chennai, India; Packirisamy A.S.B., Department of Biotechnology, Vel Tech Rangarajan Dr. Sagunthala R&amp;amp;D Institute of Science and Technology, Tamil Nadu, Chennai, India; Bashreer V.A., Centre for Food Technology, Department of Biotechnology, Anna University, Tamil Nadu, Chennai, 600025, India; Sai Nandhini R., Department of Biotechnology, Vel Tech Rangarajan Dr. Sagunthala R&amp;amp;D Institute of Science and Technology, Tamil Nadu, Chennai, India; Ukhurebor K.E., Department of Physics, Edo State University Uzairue, P.M.B. 04, Edo State, Auchi, 312101, Nigeria</text>
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                <text>Novel heterocyclic thiosemicarbazones derivatives as colorimetric and "turn on" fluorescent sensors for fluoride anion sensing employing hydrogen bonding</text>
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            <description>The topic of the resource</description>
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                <text>Chromophoric and fluorogenic sensor; Deprotonation; Heterocyclic; Single crystal XRD; Thiosemicarbazone; UV-visible spectroscopy</text>
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                <text>(Chemical Equation Presented) Two novel heterocyclic thiosemicarbazone derivatives have been synthesized, and characterized, by means of spectroscopic and single crystal X-ray diffraction methods. Their chromophoric-fluorogenic response towards anions in competing solvent dimethyl sulfoxide (DMSO) was studied. The receptor shows selective recognition towards fluoride anion. The binding affinity of the receptors with fluoride anion was calculated using UV-visible and fluorescence spectroscopic techniques.  2013 Elsevier B.V. All rights reserved.</text>
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                <text>Kumar S.L.A.; Kumar M.S.; Sreeja P.B.; Sreekanth A.</text>
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                <text>Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, Vol-113, pp. 123-129.</text>
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              <elementText elementTextId="139548">
                <text>Elsevier B.V.</text>
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                <text>2013-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1016/j.saa.2013.04.103" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1016/j.saa.2013.04.103&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878240683&amp;amp;doi=10.1016%2Fj.saa.2013.04.103&amp;amp;partnerID=40&amp;amp;md5=43f3ad8b7bb2809df50f47b893bb893a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-84878240683&amp;amp;doi=10.1016%2fj.saa.2013.04.103&amp;amp;partnerID=40&amp;amp;md5=43f3ad8b7bb2809df50f47b893bb893a&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="139551">
                <text>Restricted Access</text>
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                <text>ISSN: 13861425; PubMed ID: 23714188; CODEN: SAMCA</text>
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                <text>English</text>
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                <text>Kumar S.L.A., Department of Chemistry, Centre of Excellence in Corrosion and Surface Engineering, National Institute of Technology - Tiruchirappalli, Tiruchirappalli 620 015, Tamil Nadu, India; Kumar M.S., Department of Chemistry, Centre of Excellence in Corrosion and Surface Engineering, National Institute of Technology - Tiruchirappalli, Tiruchirappalli 620 015, Tamil Nadu, India; Sreeja P.B., Department of Chemistry, Christ University, Bangalore 560 029, Karnataka, India; Sreekanth A., Department of Chemistry, Centre of Excellence in Corrosion and Surface Engineering, National Institute of Technology - Tiruchirappalli, Tiruchirappalli 620 015, Tamil Nadu, India</text>
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                <text>Novel HGDBO: A Hybrid Genetic and Dung Beetle Optimization Algorithm for Microarray Gene Selection and Efficient Cancer Classification; [Nuevo HGDBO: Un Algoritmo Hrido de Optimizaci Genica y de Escarabajos Peloteros para la Selecci de Genes en Microrrays y la Clasificaci Eficiente del Ccer]</text>
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                <text>Dung Beetle Optimization; Evolutionary Computation; Gene Feature Selection; Genetic Algorithm; Hybrid Algorithm; Microarray Data</text>
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            <name>Description</name>
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                <text>Introduction: ovarian cancer ranked as the seventh most common cancer and the eighth leading cause of cancer-related mortality among women globally. Early detection was crucial for improving survival rates, emphasizing the need for better screening techniques and increased awareness. Microarray gene data, containing numerous genes across multiple samples, presented both opportunities and challenges in understanding gene functions and disease pathways. This research focused on reducing feature selection time in large gene expression datasets by applying a hybrid bio-inspired method, HGDBO. The goal was to enhance classification accuracy by optimizing gene subsets for improved gene expression analysis. Method: the study introduced a novel hybrid feature selection method called HGDBO, which combined the Dung Beetle Optimization (DBO) algorithm with the Genetic Algorithm (GA) to improve microarray data analysis. The HGDBO method leveraged the exploratory strengths of DBO and the exploitative capabilities of GA to identify relevant genes for disease classification. Experiments conducted on multiple microarray datasets showed that the hybrid approach offered superior classification performance, stability, and computational efficiency compared to traditional methods. Ovarian cancer classification was performed using Nae Bayes (NB) and Random Forest (RF) algorithms. Results and Discussion: the Random Forest model outperformed the Nae Bayes model across all metrics, achieving higher accuracy (0,96 vs. 0,91), precision (0,95 vs. 0,91), recall (0,97 vs. 0,90), F1 score (0,95 vs. 0,91), and specificity (0,97 vs. 0,86). Conclusions: these results demonstrated the effectiveness of the HGDBO method and the Random Forest classifier in improving the analysis and classification of ovarian cancer using microarray gene data.  2024; Los autores.</text>
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              <elementText elementTextId="85862">
                <text>Alluri V.L.; Kanadam K.P.; Helen Josephine V.L.</text>
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            <description>A related resource from which the described resource is derived</description>
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              <elementText elementTextId="85863">
                <text>Data and Metadata, Vol-3</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
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              <elementText elementTextId="85864">
                <text>Editorial Salud, Ciencia y Tecnologia</text>
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                <text>2024-01-01</text>
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                <text>&lt;a href="https://doi.org/10.56294/dm2024.420" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.56294/dm2024.420&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207482749&amp;amp;doi=10.56294%2Fdm2024.420&amp;amp;partnerID=40&amp;amp;md5=810dd1eb2adb0091f576c48c22df319b" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207482749&amp;amp;doi=10.56294%2fdm2024.420&amp;amp;partnerID=40&amp;amp;md5=810dd1eb2adb0091f576c48c22df319b&lt;/a&gt;</text>
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            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="85867">
                <text>Restricted Access</text>
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            <description>A related resource</description>
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                <text>ISSN: 29534917</text>
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                <text>Alluri V.L., Acharya Nagarjuna University, Department of Computer Science and Engineering, AP, Guntur, India; Kanadam K.P., R.V.R &amp;amp; J.C. College of Engineering, Department of Computer Applications, AP, Guntur, India; Helen Josephine V.L., Christ University, Business Analytics, School of Business and Management, Karnataka, Bangalore, India</text>
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