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                <text>Connect among employee engagement and three key of organisational commitment level - An empirical exploration AMID techs</text>
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                <text>Affective commitment; Continuance commitment; Employee engagement; Normative commitment</text>
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                <text>The main objective of this paper is to gravely examine the link between employee engagement level and affective, continuance and normative commitment level in information technology (IT) organisations in Bangalore city. In primary data, responses are collected through well framed questionnaires and direct interaction with the employees to selected sample of 550 respondents of 10 Information Technology organisations in Bangalore city. The result revealed that employee engagement level explained 32% of the variation in total commitment. Since the P value is less than 0.01, it can be inferred that the linkage between employee engagement level and total commitment is statistically significant. The study identified a strong, positive correlation between employee's engagement level and affective commitment (d = 0.347, p =0.000) and employee's engagement level and normative commitment (d =.265, p =0.000), which were statistically significant. The study also revealed a positive correlation between employee engagement level and continuance commitment, which was not statistically significant (d =.072, p =0.096). The current study adds to the research pointing at employee's engagement level as a promising underlying mechanism to improve employee's organisational commitment level.  IAEME Publication.</text>
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                <text>Philip P.; Mani A.</text>
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                <text>International Journal of Mechanical Engineering and Technology, Vol-8, No. 3, pp. 296-303.</text>
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                <text>Philip P., Department of Management, Academy of Maritime Education and Training (AMET) University, Chennai, India, Mount Carmel Institute of Management, Bangalore, India; Mani A., Academy of Maritime Education and Training (AMET) University, Chennai, India, Christ University, Bangalore, India</text>
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                <text>Connected k-forcing sets of graphs and splitting graphs</text>
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                <text>Connected k-forcing number; K-forcing number; Zeroforcing number</text>
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                <text>The notion of k-forcing number of a graph was introduced by Amos et al. For a given graph G and a given subset I of the vertices of the graph G, the vertices in I are known as initially colored black vertices and the vertices in V (G) ? I are known as not initially colored black vertices or white vertices. The set I is a k-forcing set of a graph G if all vertices in G eventually colored black after applying the following color changing rule: If a black colored vertex is adjacent to at most k-white vertices, then the white vertices change to be colored black. The cardinality of a smallest k-forcing set is known as the k-forcing number Zk (G) of the graph G. If the sub graph induced by the vertices in I are connected, then I is called the connected k-forcing set. The minimum cardinality of such a set is called the connected k-forcing number of G and is denoted by Zck (G). This manuscript is intended to study the connected k-forcing number of graphs and the splitting graphs.  2020 the author(s).</text>
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                <text>Premodkmuar K.P.; Dominic C.; Chacko B.</text>
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                <text>Journal of Mathematical and Computational Science, Vol-10, No. 3, pp. 656-680.</text>
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                <text>ISSN: 19275307</text>
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                <text>Premodkmuar K.P., Research Center of Mathematics, St. Josephs College, Devagiri, Calicut, Kerala, India; Dominic C., Department of Mathematics, CHRIST (Deemed to be University), Karnataka, India; Chacko B., Research Center of Mathematics, St. Josephs College, Devagiri, Calicut, Kerala, India</text>
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                <text>India-Sri Lanka bilateral ties pervade in almost all areas despite various ups and downs. In the age of globalization, connectivity is crucial in maintaining and enhancing relations. Realizing this, India and Sri Lanka have invested in connectivity in four broad areas: physical, cultural, information and communication technology (ICT), and economic. Physical connectivity presently exists through air and sea; given the proximity, land connectivity would benefit the common man on both sides. Cultural connections go back centuries and have received an institutional framework of late. ICT linkage is emerging but highly promising in terms of public-private involvement. With components of trade and investments, economic connectivity faces tough competition from extra-regional powers like China. On the way forward, challenges abound and require patience and maturity in policy making and its implementation in both countries.  2020 Elsevier Inc. All rights reserved.</text>
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                <text>Manoharan N.</text>
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                <text>New Futures for South Asia: Commerce and Connectivity, pp. 204-214.</text>
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                <text>ISBN: 978-100072975-7; 978-113850645-9</text>
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                <text>Manoharan N., Department of International Studies, Christ University, Bengaluru, India</text>
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                <text>Consecutive Radio Labelling of Graphs</text>
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                <text>Radio labelling or radio colouring is an assignment of positive integers to the vertices of a graph such that the difference between labels of any two vertices must be at least one more than the difference between the diameter of the graph and the distance between the vertices themselves. A graph G admits consecutive radio labelling when the radio number of the graph equals the order of the graph. In this paper, we study certain graphs admitting consecutive radio labelling and identify certain properties of such graphs. Moreover, we characterize the graphs with diameter two admitting consecutive radio labelling and examine certain properties of the labelling under some graph operations.  2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.</text>
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                <text>Raj A.T.; Kureethara J.V.</text>
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                <text>Lecture Notes in Networks and Systems, Vol-290, pp. 317-323.</text>
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                <text>Springer Science and Business Media Deutschland GmbH</text>
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                <text>Krishna K.V., Applied and Industrial Biotechnology Laboratory, Christ University, Hosur Road, Karnataka, Bangalore, India; Balasubramanian B., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, South Korea; Park S., Department of Food Science and Biotechnology, College of Life Science, Sejong University, Seoul, South Korea; Bhattacharya S., Applied and Industrial Biotechnology Laboratory, Christ University, Hosur Road, Karnataka, Bangalore, India; Kadanthottu Sebastian J., Department of Life Sciences, Christ University, Bangalore, India; Liu W.-C., Department of Animal Science, College of Coastal Agricultural Sciences, Guangdong Ocean University, Zhanjiang, 524088, China; Pappuswamy M., Department of Life Sciences, Christ University, Bangalore, India; Meyyazhagan A., Department of Life Sciences, Christ University, Bangalore, India; Kamyab H., Department of Biomaterials, Saveetha Dental College, and Hospital, Saveetha Institute of Medical and Technical Sciences, Chennai, 600077, India, Faculty of Social Sciences, Media and Communication, University of Religions and Denominations, Qom, Pardisan, Iran; Chelliapan S., Department of Smart Engineering and Advanced Technology, Faculty of Artificial Intelligence, Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, Kuala Lumpur, 54100, Malaysia; Malaviya A., Applied and Industrial Biotechnology Laboratory, Christ University, Hosur Road, Karnataka, Bangalore, India, QuaLife Biotech Pvt. Ltd, Bangalore, India</text>
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                <text>Consortium on Vulnerability to Externalizing Disorders and Addictions (cVEDA): A developmental cohort study protocol</text>
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          <element elementId="49">
            <name>Subject</name>
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              <elementText elementTextId="125742">
                <text>Cohort; Environmental exposures; Externalizing disorders; Longitudinal study; Study protocol; Vulnerabilities</text>
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                <text>Background: Low and middle-income countries like India with a large youth population experience a different environment from that of high-income countries. The Consortium on Vulnerability to Externalizing Disorders and Addictions (cVEDA), based in India, aims to examine environmental influences on genomic variations, neurodevelopmental trajectories and vulnerability to psychopathology, with a focus on externalizing disorders. Methods: cVEDA is a longitudinal cohort study, with planned missingness design for yearly follow-up. Participants have been recruited from multi-site tertiary care mental health settings, local communities, schools and colleges. 10,000 individuals between 6 and 23 years of age, of all genders, representing five geographically, ethnically, and socio-culturally distinct regions in India, and exposures to variations in early life adversity (psychosocial, nutritional, toxic exposures, slum-habitats, socio-political conflicts, urban/rural living, mental illness in the family) have been assessed using age-appropriate instruments to capture socio-demographic information, temperament, environmental exposures, parenting, psychiatric morbidity, and neuropsychological functioning. Blood/saliva and urine samples have been collected for genetic, epigenetic and toxicological (heavy metals, volatile organic compounds) studies. Structural (T1, T2, DTI) and functional (resting state fMRI) MRI brain scans have been performed on approximately 15% of the individuals. All data and biological samples are maintained in a databank and biobank, respectively. Discussion: The cVEDA has established the largest neurodevelopmental database in India, comparable to global datasets, with detailed environmental characterization. This should permit identification of environmental and genetic vulnerabilities to psychopathology within a developmental framework. Neuroimaging and neuropsychological data from this study are already yielding insights on brain growth and maturation patterns.  2019 The Author(s).</text>
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                <text>Sharma E.; Jacob P.; Murthy P.; Jain S.; Varghese M.; Jayarajan D.; Kumar K.; Benegal V.; Vaidya N.; Zhang Y.; Desrivieres S.; Schumann G.; Iyengar U.; Holla B.; Purushottam M.; Chakrabarti A.; Fernandes G.S.; Heron J.; Hickman M.; Kartik K.; Kalyanram K.; Rangaswamy M.; Bharath R.D.; Barker G.; Orfanos D.P.; Ahuja C.; Thennarasu K.; Basu D.; Subodh B.N.; Kuriyan R.; Kurpad S.S.; Kumaran K.; Krishnaveni G.; Krishna M.; Singh R.L.; Singh L.R.; Toledano M.</text>
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                <text>BMC Psychiatry, Vol-20, No. 1</text>
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                <text>BioMed Central Ltd.</text>
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                <text>2020-01-01</text>
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                <text>&lt;a href="https://doi.org/10.1186/s12888-019-2373-3" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1186/s12888-019-2373-3&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077382480&amp;amp;doi=10.1186%2Fs12888-019-2373-3&amp;amp;partnerID=40&amp;amp;md5=4525104fb17e1a39974faf3fc10af3bd" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85077382480&amp;amp;doi=10.1186%2fs12888-019-2373-3&amp;amp;partnerID=40&amp;amp;md5=4525104fb17e1a39974faf3fc10af3bd&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="125749">
                <text>All Open Access; Gold Open Access; Green Open Access</text>
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            </elementTextContainer>
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                <text>ISSN: 1471244X; PubMed ID: 31898525; CODEN: BPMSC</text>
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                <text>Sharma E., Department of Child and Adolescent Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka, India; Jacob P., Department of Child and Adolescent Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka, India; Murthy P., Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka, India; Jain S., Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka, India; Varghese M., Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka, India; Jayarajan D., Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka, India; Kumar K., Department of Child and Adolescent Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka, India; Benegal V., Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka, India; Vaidya N., Centre for Population Neuroscience and Precision Medicine, Institute of Psychology, Psychiatry and Neuroscience, MRC SGDP Centre, King's College London, London, United Kingdom; Zhang Y., Centre for Population Neuroscience and Precision Medicine, Institute of Psychology, Psychiatry and Neuroscience, MRC SGDP Centre, King's College London, London, United Kingdom; Desrivieres S., Centre for Population Neuroscience and Precision Medicine, Institute of Psychology, Psychiatry and Neuroscience, MRC SGDP Centre, King's College London, London, United Kingdom; Schumann G., Centre for Population Neuroscience and Precision Medicine, Institute of Psychology, Psychiatry and Neuroscience, MRC SGDP Centre, King's College London, London, United Kingdom; Iyengar U., Department of Child and Adolescent Psychiatry, Institute of Psychology, Psychiatry and Neuroscience, King's College London, London, United Kingdom; Holla B., Department of Psychiatry, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka, India; Purushottam M., Molecular Genetics Laboratory, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka, India; Chakrabarti A., Regional Occupational Health Centre (ROHC), Eastern, ICMR-National Institute of Occupational Health (NIOH), Kolkata, West Bengal, India; Fernandes G.S., Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; Heron J., Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; Hickman M., Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, United Kingdom; Kartik K., Rishi Valley Rural Health Centre, Madanapalle, Chittoor, Andhra Pradesh, India; Kalyanram K., Rishi Valley Rural Health Centre, Madanapalle, Chittoor, Andhra Pradesh, India; Rangaswamy M., Department of Psychology, Christ University, Bangalore, Karnataka, India; Bharath R.D., Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka, India; Barker G., Department of Neuroimaging, Institute of Psychology, Psychiatry and Neuroscience, King's College London, London, United Kingdom; Orfanos D.P., NeuroSpin, CEA, UniversitParis-Saclay, Paris, France; Ahuja C., Department of Radiodiagnosis and Imaging, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India; Thennarasu K., Department of Biostatistics, National Institute of Mental Health and Neuro-Sciences (NIMHANS), Bangalore, Karnataka, India; Basu D., Department of Psychiatry, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India; Subodh B.N., Department of Psychiatry, Post Graduate Institute of Medical Education and Research (PGIMER), Chandigarh, India; Kuriyan R., Division of Nutrition, St John's Research Institute, Bengaluru, India; Kurpad S.S., Department of Psychiatry, St. John's Medical College and Hospital, Bengaluru, India; Kumaran K., MRC Lifecourse Epidemiology Unit, University of Southampton, Southampton, United Kingdom; Krishnaveni G., Epidemiology Research Unit, CSI Holdsworth Memorial Hospital, Mysore, India; Krishna M., Foundation for Research and Advocacy in Mental Health, Mysore, India; Singh R.L., Department of Psychiatry, Regional Institute of Medical Sciences (RIMS), Imphal, Manipur, India; Singh L.R., Department of Clinical Psychology, Regional Institute of Medical Sciences (RIMS), Imphal, Manipur, India; Toledano M., Faculty of Medicine, School of Public Health, Imperial College, London, United Kingdom</text>
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                <text>Constraining the physical parameters of XTE J1701-462 through NuSTAR observations</text>
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            <description>The topic of the resource</description>
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              <elementText elementTextId="79876">
                <text>accretion, accretion discs; stars: neutron; X-rays: binaries; X-rays: individual: XTE J1701-2</text>
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            <description>An account of the resource</description>
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              <elementText elementTextId="79877">
                <text>The spectral properties of the transient neutron star low-mass X-ray binary XTE J1701-462 were studied using the data obtained from FPMA/B detectors onboard NuSTAR during its second known outburst (2022 September). The physical parameters of the system were derived from the analysis of the data in the 3.0-30.0 keV energy range. The patterns displayed on the hardness-intensity diagram of the three observations closely resembled the banana branch/normal branch, a vertex of horizontal and normal branch of the Z-track and a transition from normal branch to flaring branch. Spectral analysis of the source revealed the presence of Fe K emission complex. The source spectra were fitted with a multitemperature blackbody () component in conjunction with the reflection model (). The values of temperature (kTin) and radius (Rin) of the inner accretion disc obtained from the spectral fitting with the model combination - + showed the source to be in its soft spectral state during the observations. The inclination angle (?) of the source was estimated to be between 19 and 33 and the inner disc radius (Rin) was found to be 17.4 km. Assuming the case of magnetic truncation of accretion disc, the upper limits for the magnetic dipole moment (?) and the magnetic field strength (B) at the poles of the neutron star in the system were found to be 5.78 1026 G cm3 and 8.23 108 G, respectively, for kA = 1.  2024 The Author(s). Published by Oxford University Press on behalf of Royal Astronomical Society.</text>
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            <elementTextContainer>
              <elementText elementTextId="79878">
                <text>Thomas N.T.; Jirawala K.; Gudennavar S.B.; Bubbly S.G.</text>
              </elementText>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="79879">
                <text>Monthly Notices of the Royal Astronomical Society, Vol-531, No. 2, pp. 2237-2244.</text>
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              <elementText elementTextId="79880">
                <text>Oxford University Press</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="79881">
                <text>2024-01-01</text>
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            <name>Identifier</name>
            <description>An unambiguous reference to the resource within a given context</description>
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                <text>&lt;a href="https://doi.org/10.1093/mnras/stae1299" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1093/mnras/stae1299&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194908052&amp;amp;doi=10.1093%2Fmnras%2Fstae1299&amp;amp;partnerID=40&amp;amp;md5=f3f66ba3546ddce5057ba8a77dcfcf3a" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85194908052&amp;amp;doi=10.1093%2fmnras%2fstae1299&amp;amp;partnerID=40&amp;amp;md5=f3f66ba3546ddce5057ba8a77dcfcf3a&lt;/a&gt;</text>
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          <element elementId="47">
            <name>Rights</name>
            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="79883">
                <text>All Open Access; Gold Open Access</text>
              </elementText>
            </elementTextContainer>
          </element>
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                <text>ISSN: 358711; CODEN: MNRAA</text>
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              <elementText elementTextId="79886">
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              </elementText>
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              <elementText elementTextId="79888">
                <text>Thomas N.T., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Jirawala K., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Gudennavar S.B., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India; Bubbly S.G., Department of Physics and Electronics, CHRIST University, Karnataka, Bangalore, 560029, India</text>
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            <element elementId="50">
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                <elementText elementTextId="51377">
                  <text>Conference Papers</text>
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      <name>Conference Paper</name>
      <description>Faculty Publications- Conference Papers</description>
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            <name>Title</name>
            <description>A name given to the resource</description>
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              <elementText elementTextId="184752">
                <text>Constraint Governed Association Rule Mining for Identification of Strong SNPs to Classify Autism Data</text>
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          <element elementId="49">
            <name>Subject</name>
            <description>The topic of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184753">
                <text>Artificial Neural Network (ANN); Association Rule mining (ARM); Autism; Constraint Governed Association Rule Mining (CGARM); Dimensionality reduction; Machine Learning; SNP</text>
              </elementText>
            </elementTextContainer>
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          <element elementId="41">
            <name>Description</name>
            <description>An account of the resource</description>
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              <elementText elementTextId="184754">
                <text>Autism is a heterogeneous neuro developmental disorder found among all age groups. Nowadays more patients are detected with autism but very less awareness is prevailing in the society related to it. This paved a way for many researchers to carry out serious study on autism and its characteristics. Studying behavior and characteristics of Autistic patients is very important for diagnosing the level of autism. Classifying the association of different characteristic in autistic patients at gene level using machine learning techniques can give an important insight to the doctors and the care takers of the patients. Research is being carried out to identify the genes responsible for autism. The changes in gene sequence may lead to different characteristics in different people. Thus genotypic research is found to reveal well defined insight about various characteristics in autistic patients and their associations with genes. Single Nucleotide Polymorphism (SNP) being high in features indicate human genome variability and is associated with identification of traits for many human diseases including autism. The main aim of the proposed work is to identify SNP sequences which are responsible for carrying the autistic traits. This paper explore the application of Constraint Governed Association Rule Mining (CGARM) technique on SNP data for dimensionality reduction and thereby selecting the strong predominant SNP features which are relevant enough to accomplish classification with high accuracy. The research work incorporates the application of CGARM and is carried out in two stages. In the first stage CGARM was used to choose significant SNP features resulting in dimensionality reduction. In the second stage classification was carried out by subjecting the selected features to Artificial Neural Network (ANN) algorithm. The main advantage of the proposed work is its ability to reduce the dimensions without compromising the quality i.e. using CGARM strong SNPs were selected by applying various constraints like Syntactical constraints, Semantical constraints and Dimensionality Constraints resulting in higher accuracy. The CGARM technique is applied on Autism data collected from National Center for Biotechnology Information (NCBI) repository. The data is divided into a set of 118 features, out of 118 features CGARM contributed in identifying 22 predominant SNPs. Further by applying forward selection method top 17 features were selected and were given as input to ANN. The 10 fold cross validation resulted in 76.9% accuracy which was found to be 50% more than that of original features. The proposed work contributed in reducing the dimension by 85% and provided 76.9% accuracy with the help of only 15% features.  2020 IEEE.</text>
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            <name>Creator</name>
            <description>An entity primarily responsible for making the resource</description>
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              <elementText elementTextId="184755">
                <text>Umme Salma M.; Rajashekar P.K.M.</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="184756">
                <text>Proceedings of the 2020 IEEE International Conference on Communication, Computing and Industry 4.0, C2I4 2020</text>
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            <name>Publisher</name>
            <description>An entity responsible for making the resource available</description>
            <elementTextContainer>
              <elementText elementTextId="184757">
                <text>Institute of Electrical and Electronics Engineers Inc.</text>
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          </element>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="184758">
                <text>2020-01-01</text>
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            <name>Identifier</name>
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              <elementText elementTextId="184759">
                <text>&lt;a href="https://doi.org/10.1109/C2I451079.2020.9368948" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/C2I451079.2020.9368948&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103282877&amp;amp;doi=10.1109%2FC2I451079.2020.9368948&amp;amp;partnerID=40&amp;amp;md5=52f87afdfcdccd0c2630aede95e655e3" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85103282877&amp;amp;doi=10.1109%2fC2I451079.2020.9368948&amp;amp;partnerID=40&amp;amp;md5=52f87afdfcdccd0c2630aede95e655e3&lt;/a&gt;</text>
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                <text>Parida J.K., School of Economics, University of Hyderabad, Hyderabad, Telangana, Gachibowli, India; Pattayat S.S., Department of Economics, Christ University (YPR), Nagasandra, Karnataka, Bangalore, India</text>
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                <text>Vishnoi S.Kr., Department of Marketing, Institute of Management Studies, UP, Ghaziabad, 201009, India; Mathur S., Christ University, Delhi NCR, 201003, India; Bagga T., Faculty of Management, Department of Management Studies, Jamia Millia Islamia, New Delhi, 110025, India; Singhal A., Institute of Management Studies, UP, Ghaziabad, 201009, India; Rawal P., Institute of Management Studies, UP, Ghaziabad, 201009, India; Sharma S., Christ University, Delhi NCR, 201003, India; Yadav R., Amity School of Business, AUUP, 201313, India</text>
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                <text>Blockchain technology is gaining immense popularity in the realm of online e-commerce, advertising, and consumerism. This study aims to develop a model that comprehends how blockchain can act as a significant disruptor for various functions and applications related to e-commerce. The research explores the possibility that this technological advancement has the potential to revolutionize the core operations of e-commerce industry by providing trade connections devoid of trust or need for specialized intermediaries or central authority in case of permission less blockchains. Furthermore, it could facilitate equitable access to immutable data across supply chains which may result in a major reorganization pertaining to information and value exchanged between businesses involved in electronic commerce and their customers.  2024, IGI Global. All rights reserved.</text>
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&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179634749&amp;amp;doi=10.4018%2F978-1-6684-7649-9.ch006&amp;amp;partnerID=40&amp;amp;md5=c1fe610210dc524ce23fbcdafebaae58" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85179634749&amp;amp;doi=10.4018%2f978-1-6684-7649-9.ch006&amp;amp;partnerID=40&amp;amp;md5=c1fe610210dc524ce23fbcdafebaae58&lt;/a&gt;</text>
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                <text>The article presented here is a part of the major research project conducted in India from 2016 through 2020. Teacher education in India in the last six decades underwent many reforms in terms of policies, assessment, field experience patterns, and training pedagogy. Teacher educators invariably implemented all the suggested changes. However, it lacked the rigour in implementation. At the same time with the advancement of technology, the student population is native to technology and had newer attitudes towards learning. Researcher felt that, the Teacher educators competencies are to be revisited and may come up with a new list of competencies which are helpful to the next generation. It is with this intent this major research project was planned. The purpose of the project was to come up with the list of competencies for teacher educators which are helpful for training the next generation teacher trainees and to measure those competencies. Therefore, the study resorted to adopt exploratory research design. This article explains the step wise procedure on construction of next generation teacher educator competency scale. It also explains the procedures of validity and reliability established for the scale. The study brought out a Likert type of scale to measure next generation teacher educator competency and has simple administration procedures. The scale was found to be highly reliable based on Cronbach's alpha internal consistency coefficient. Though the study is exploratory in nature, yet confirmatory factor analysis was carried out and is found to be in agreement with the evolved factors. The scale may be used to measure the extent to which the next generation teacher educator competencies are possessed by a teacher educator. Copyright  2020 by authors, all rights reserved. Authors agree that this article remains permanently open access under the terms of the Creative Commons Attribution License 4.0 International License</text>
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                <text>Aspartame; Co&lt;sub&gt;3&lt;/sub&gt;O&lt;sub&gt;4&lt;/sub&gt; NDs; Food samples; Graphite electrode; Ionic liquid; Ni-MOF; Sensor</text>
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                <text>A novel and cost-efficient electrochemical sensor was designed by immobilizing IL/Ni-MOF/Co3O4 nanodiamonds on the graphite (GE) electrode, marking the first application for the detection of aspartame. The graphite electrode was extracted and recycled from discharged batteries to serve as a working electrode. The nanocomposite features unique Co3O4 nanodiamonds, generated using Coriandrum sativum seed extract, alongside Ni-metal organic framework (MOF), which were synthesized through a solvothermal method. The conductivity and stability of the electrochemical sensor were enhanced through the incorporation of the ionic liquid (IL) ([BMIM][MeSO4]. The phytochemical profile of Coriandrum sativum seed extract, analyzed by GC-MS, identified key compounds involved in the synthesis of Co3O4 nanodiamonds. A comprehensive characterization of the nanocomposite was performed using UV-Vis, FTIR, DLS, Zeta potential, XRD, XPS, FE-SEM, TEM, optical profilometry, and AFM to confirm the structural and elemental modifications. Electrochemical characterization of the bare and modified electrodes was conducted through cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS). The GE/IL/Ni-MOF/Co3O4 nanodiamonds modified electrode displayed enhanced electroanalytical performance for aspartame detection, characterized by signal amplification at +7.0 V. Quantitative analysis by Differential Pulse Voltammetry (DPV) and Square Wave Voltammetry (SWV) revealed a linear detection range of 315 M for aspartame. A comparison of SWV and DPV revealed superior analytical performance for SWV, with limit of detection (LOD) and limit of quantification (LOQ) values of 1.02 M and 3.1 M (R2 = 0.993) compared to 1.81 M and 5.5 M (R2 = 0.986) for DPV. This study reveals the excellent adsorption capabilities of Ni-MOF and Co3O4 nanodiamonds (Co3O4 NDs), attributed to their high porosity and large surface area, paving the way for the development of affordable sensing devices for artificial sweeteners.  2024 Elsevier B.V.</text>
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                <text>Manuel M.; Kanchi S.</text>
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                <text>Colloids and Surfaces A: Physicochemical and Engineering Aspects, Vol-705</text>
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                <text>Manuel M., Department of Chemistry, CHRIST University, Bengaluru, 560 029, India; Kanchi S., Department of Chemistry, CHRIST University, Bengaluru, 560 029, India</text>
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 Theodore Dreiser

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                <text>Construction of multifunctional hyaluronic acid modified gold nanoparticles clocked with Irinotecan and indocyanine green: Investigation of chemotherapy and cancer cell imaging</text>
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                <text>To overcome the inherent limits of conventional cancer therapy, there is an immediate need to establish multifunctional drugs that combine accurate diagnosis with treatment. The work describes a small nanocomposite's mild and easy fabrication, including Irinotecan, folic acid, hyaluronic acid, and indocyanine green-integrated gold nanoparticles. The gold nanoparticles with indocyanine green integrated (HA@ICG/Au) were developed in one step for photodynamic treatment and biological fluorescence imaging. Both the drug delivery of Irinotecan and the enhancement of cellular selectivity are achieved by the hyaluronic acid-altered ICG/Au (HA@ICG/Au). To regulate the release of Irinotecan during tumour chemotherapy, the dual-targeted and pH-responsive system known as HA@ICG/Au:FA@IRI was developed. The nanocomposite composed of HA@ICG/Au:FA@IRI had a tiny surface area and was highly efficient at encapsulation and loading drugs. In an acidic milieu, the nanocomposite showed excellent biocompatibility, colloidal stability, photostability, and a rapid cumulative release rate. The improved cellular uptake of HA@ICG/Au:FA@IRI for fluorescence imaging was validated by fluorescence microscopy in vitro. The nanocomposite showed impressive cancer cell death when exposed to laser irradiation using a combination of synergistic chemotherapy and photodynamic treatment (PDT). Taken as a whole, the results show that the nanocomposite was successfully developed to target tumors in two different ways, resulting in a potentially helpful theranostics agent.  2025 Elsevier B.V.</text>
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                <text>Menon S.V., Department of Chemistry and Biochemistry, JAIN (Deemed-to-be University), Karnataka, Bangalore, 560069, India; Juneja B., Centre of Research Impact and Outcome, Chitkara University, Punjab, Rajpura, 140417, India; Joshi U., Department of Mechanical Engineering, PIET, Parul University, Gujarat, Vadodara, 391760, India; Faujdar M., Department of Sciences, Vivekananda Global University, Jaipur, 391760, India; Chinnathambi A., Department of Botany and Microbiology, College of Science, King Saud University, PO Box -2455, Riyadh, 11451, Saudi Arabia; Alahmadi T.A., Department of Pediatrics, College of Medicine and King Khalid University Hospital, King Saud University, Medical City, PO Box-2925, Riyadh, 11461, Saudi Arabia; Arulselvan P., Department of Chemistry, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences (SIMATS), Saveetha University, Chennai, 602105, India; Thangavelu I., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India</text>
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                <text>CONSTRUCTION OF PAN-ETHNIC IDENTITY AMONG THE NORTHEAST MIGRANTS IN BANGALORE</text>
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                <text> ANU  TOKO</text>
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                <text>Construction of Prime Time Television News Discussions   </text>
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                <text>Studies in the western context have shown consistent observations of Television News being one of their prime modes of news and current affairs in the past. In India, watching the news has been an age-old requirement, for many reasons. English news in a non-native English-speaking country like India has encouraged citizens to learn the language, engage in focused viewership and rely on Television news for stories, news, views, and the episodic reality. Ever since news reception was transitioned to the realm of social media and new media, Television prime time news strived to be in the limelight. To understand the existence of prime time news, the study focused on two objectives : to identify constituents of communicative techniques framed in prime time news discussions of Indian English Television News Channels and to establish the role of prime time News Discussions as creators of complex news narratives. With the help of Critical Discourse Analysis (CDA) as the umbrella theory, Multimodal Discourse Analysis (MDA), and Stuart Hall s Encoding and Decoding, the research progressed to understand the ways and means to analyse news. Each of the episodic news presentations from 5 December 2017 to 13 December 2017 pertaining to prime-time news debates of Republic TV and Times Now were used. were analysed using a qualitative method of textual analysis. The manifestation of all cues on the screen were deconstructed to comprehend their existence. Each episode was connotatively derived to understand conversations and use of graphics. There are multiple findings under each of the units. On understanding the manifestation and intermingling of various units of analysis with each other, it was unanimously concluded that polarization of opinions is the key to engage a concise news narrative of the day. Whilst important news is not the source, political debates, underestimation, and complex visualization enhance the brand name of the news channel.</text>
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                <text>Dsouza, Vidisha Madonna</text>
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                <text>Christ(Deemed to be University)</text>
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                <text>Pinto, Anil Joseph</text>
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            <description>Information about rights held in and over the resource</description>
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              <elementText elementTextId="71529">
                <text>Open Access</text>
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                <text>&lt;a href="http://hdl.handle.net/10603/618218" target="_blank" rel="noreferrer noopener"&gt;http://hdl.handle.net/10603/618218&lt;/a&gt;</text>
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                <text>Construction of Sorafenib Tosylate and Etoposide-loaded Liposomes: A Path to Precision Liver Cancer Therapy and its Apoptosis Induction</text>
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                <text>Cancer; Etoposide; Liposomes; Sorafenib tosylate; Synergism</text>
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            <description>An account of the resource</description>
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                <text>Nanotechnology is an effective tool in fighting against cancer, playing a crucial role in investigating and fabricating novel anticancer drugs. Recognizing the worldwide prevalence of cancer, we combined sorafenib tosylate (ST) and etoposide (ETP) within liposomes. We assessed their ability to kill human umbilical vein endothelial cells (HUVECs) and HepG2 liver cancer cells. The liposomes effectively contained ST and ETP, exhibiting a particle size distribution below 180nm, a polydisperse index (PDI) below 0.2, a spherical shape, a strong negatively charged zeta potential, and encapsulation efficiencies of 59% for ST, 88% for ETP, and 57% for ST combined with 87% for ETP. The FTIR analysis indicates that the drugs were incorporated within liposomes. Encapsulation of the drugs in liposomes resulted in a more significant cytotoxic impact on HepG2 cells and a reduced cytotoxic impact on HUVECs. The morphological assessment of the HepG2 liver cancer cells was investigated using AO-EB and Hoechst 33258 staining methods. Apoptosis mechanisms of HepG2 cells were examined by Annexin V and PI dual staining. Furthermore, the coadministration of ST and ETP, which were enclosed in liposomes, resulted in a synergistic impact on the drugs, leading to cell death by apoptosis.  2024 Wiley-VCH GmbH.</text>
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                <text>Ganesan S.; Upadhye V.J.; Sharma N.; Arora A.; Chinnathambi A.; Alharbi S.A.; Hussein-Al-Ali S.H.; Abudoleh S.M.; Thangavelu I.</text>
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              <elementText elementTextId="73758">
                <text>ChemistrySelect, Vol-9, No. 48</text>
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                <text>John Wiley and Sons Inc</text>
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                <text>&lt;a href="https://doi.org/10.1002/slct.202404117" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1002/slct.202404117&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212703579&amp;amp;doi=10.1002%2Fslct.202404117&amp;amp;partnerID=40&amp;amp;md5=3fdb52fbde5dc3e95d51f08b5874ec7e" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212703579&amp;amp;doi=10.1002%2fslct.202404117&amp;amp;partnerID=40&amp;amp;md5=3fdb52fbde5dc3e95d51f08b5874ec7e&lt;/a&gt;</text>
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            <description>Information about rights held in and over the resource</description>
            <elementTextContainer>
              <elementText elementTextId="73762">
                <text>Restricted Access</text>
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                <text>ISSN: 23656549</text>
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            <description>A language of the resource</description>
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                <text>English</text>
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                <text>Ganesan S., Department of Chemistry and Biochemistry, JAIN (Deemed-to-be University), Karnataka, Bangalore, 560069, India; Upadhye V.J., Parul Institute of Applied Sciences, Parul University, PO Limda, Tal, Waghodia, Gujarat, Vadodara, 391760, India; Sharma N., Department of Sciences, Vivekananda Global University, Jaipur, 303012, India; Arora A., Centre of Research Impact and Outcome, Chitkara University, Punjab, Rajpura, 140417, India; Chinnathambi A., Department of Botany and Microbiology, College of Science, King Saud University, PO Box -2455, Riyadh, 11451, Saudi Arabia; Alharbi S.A., Department of Botany and Microbiology, College of Science, King Saud University, PO Box -2455, Riyadh, 11451, Saudi Arabia; Hussein-Al-Ali S.H., Department of Chemistry, Faculty of Sciences, Isra University, Amman, 11622, Jordan; Abudoleh S.M., Faculty of Pharmacy, Middle East University, Amman, 11831, Jordan; Thangavelu I., Department of Chemistry, CHRIST (Deemed to be University), Karnataka, Bangalore, 560029, India</text>
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