527
20
11858
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https://archives.christuniversity.in/files/original/60080bfa82d27c8f1b1503460696c257.pdf
44743a865554db17b26896e0ebd64953
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Title
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MPHIL
Mphil
Mphil Thesis
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Title
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Impact of values and psychographic traits on compulsive buying behaviour in fast fashion brands
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Sweta Jain
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Management
Description
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The Fast Fashion is emerging as a rapidly growing category in the Indian garment retailsector. Fast Fashion provides the latest trendy fashionable affordable clothing to consumersmultiple times in a year. The pressure of fast fashion influences the buying behavior ofconsumers resulting in compulsive purchasing tendencies (Johnson & Attmann, 2009). Theresearch study focuses on the compulsive buying behavior of Fast Fashion brand consumers.In India, Fast Fashion is emerging as an important and growing category in the garment retail. Because of rapid fashion cycles, what is ???in??? is always changing, causing consumers to feel pressure to continually update their wardrobes (Cwerner, 2001).Compulsive buying consumers buy more frequrntly without controlling their the urge to purchase(Muller, et al., 2015). The significant percentage of fast fashion buyers qulify as ???excessive shoppers??? and this international phenomenon is spreading around the world. (Greenpeace International, 2017). Shopping for clothes reflect broader values (Tatzel, 1982) and for the retailers to be successful the knowledge of consumers about culturally-defined values is important (Hyllegard et al., 2005).The extensive review of literature shows that there is a lack of research both in academic and marketing aspects regarding Compulsive buying behaviours of Fast Fashion consumer with respect to value psychographic traits. The objective of the research study is to understand the effect of Values on Compulsive Buying Behaviour of Fast Fashion Brands and to analyse the mediating vi effect of Psychographic Traits (Fast Fashion involvement, Fashion???Consciousness and Innovativeness) on Compulsive Buying Behaviour.The study used List of value (LOV) Scale to find the impact of consumer values on compulsive buying behaviour. The psychographic traits are used as intervening variable. The survey is conducted for participants aged 18-25 yrs. Analysis of data is done using Factor analysis, Anova, Multiple Regression. The study will help marketer of Fast Fashion clothing to frame their product and communication strategy in such a way that it appeals to the consumers with required psychographic traits and values.
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Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Emoji Sentiment Analysis of User Reviews on Online Applications Using Supervised Machine Learning
Subject
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Artificial neural network; K-Nearest neighbors; Logistic regression; Machine learning; Naive bayes; Natural language processing; Random forest; Sentiment analysis; Supervised
Description
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Analyzing the sentiment behind emojis can provide valuable insights into the emotional context and user sentiment associated with textual content. To conduct a comparative analysis of diverse supervised machine learning models that can achieve the highest level of accuracy in Emoji Sentiment Analysis is the purpose of this research. Five machine learning models used in this research are K-Nearest Neighbors (KNN), Artificial Neural Network (ANN), Logistic Regression, Naive Bayes, and Random Forest. The experimental process resulted in ANN and KNN models giving an accuracy of 92%. The ANN model shows its proficiency in effectively managing large datasets. ANN also supports fault tolerance. The KNN model refrains from conducting calculations during the training phase and only constructs a model when a query is executed on the dataset. This characteristic makes KNN particularly well-suited for data mining. Both ANN and K-NN excelled in the experimental study due to these distinctive attributes. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
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Swetha Cordelia A.; Kokatnoor S.A.
Source
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Lecture Notes in Networks and Systems, Vol-922 LNNS, pp. 257-267.
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
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<a href="https://doi.org/10.1007/978-981-97-0975-5_23" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-0975-5_23</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197304422&doi=10.1007%2F978-981-97-0975-5_23&partnerID=40&md5=b53045be74522d33924d6a75255134cc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85197304422&doi=10.1007%2f978-981-97-0975-5_23&partnerID=40&md5=b53045be74522d33924d6a75255134cc</a>
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ISSN: 23673370; ISBN: 978-981970974-8
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Online
Language
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English
Type
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Conference paper
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Swetha Cordelia A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560074, India; Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, 560074, India
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Articles
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Faculty Publications -Articles
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Title
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Isolation and characterization of plant growth promoting bacteria (PGPB) from the rhizosphere of Spinacea oleracea L.
Subject
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Abiotic stress; Halotolerance; Pesticide; Plant Growth Promoting Bacteria (PGPB); Tolerance
Description
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As the years pass by, there is an increase in abiotic stress conditions around the environment that directly or indirectly affect agriculture around the world. Therefore, there is a dire need to increase the sustainability of plants. Plant Growth Promoting Bacteria (PGPB) play an important role in maintaining the physiology and growth of plants under various stress conditions. This study looks into the isolation and characterization of different PGPB from Spinacia oleracea L. and their tolerance against salinity and commonly used commercial pesticides against the Spinacia family. The techniques used are isolation by serial dilution, 16sRna sequencing, characterization of different PGPB assays for confirmation such as ammonia production, catalase test, phosphate solubilisation, potassium solubilization, siderophore production, indole-3-acetic acid production, biofilm formation assay, halotolerance and tolerance study using Minimal Inhibitory Concentration (MIC). PGPB were isolated and characterized from Spinacia oleracea L., which was under an abiotic stress environment. Isolates were Bacillus clarus, Bacillus licheniformis, Paenibacillus alvei SJ6 and Paenibacillus alvei SJ8, having quantities as high as 78.10.004 mgL-1 phosphate solubilization, 43.8 mgL?1 of indole-3-acetic acid production, 14.5660.011 psu of siderophore production and 0.62 0.027 mol mL?1 of ammonia production. All isolates also had considerable amounts of halotolerance up to 10%, whereas Bacillus licheniformis had 12.5% halotolerance. The bacterial isolates had considerable tolerance against commonly used commercial pesticides against green leafy vegetables such as chlorpyriphos + cypermethrin combination and fungicides such as mancozeb. Therefore, this study looks into the isolation of potential plant growth promoting bacteria that have considerable amount of halotolerance and pesticide tolerance. 2025 World Researchers Associations. All rights reserved.
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Swetha J.; Sayantan D.
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Research Journal of Biotechnology, Vol-20, No. 1, pp. 77-87.
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World Researchers Associations
Date
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2025-01-01
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<a href="https://doi.org/10.25303/201rjbt077087" target="_blank" rel="noreferrer noopener">https://doi.org/10.25303/201rjbt077087</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214442012&doi=10.25303%2F201rjbt077087&partnerID=40&md5=fdfdb7957ac622c0fdc194a14d38f5b3" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85214442012&doi=10.25303%2f201rjbt077087&partnerID=40&md5=fdfdb7957ac622c0fdc194a14d38f5b3</a>
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ISSN: 22784535
Format
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Online
Language
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English
Type
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Article
Coverage
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Swetha J., Department of Life Sciences, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India; Sayantan D., Department of Life Sciences, Christ University, Hosur Road, Karnataka, Bangalore, 560029, India
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https://archives.christuniversity.in/files/original/4cfdbde06246c0b90501add59a3d11dd.pdf
4976e90c34ab50da49ecba584f93642f
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Title
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Thesis
PhD
PhD Thesis
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Title
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Mind set in mathematics learning role of teacher student interaction on student engagement wellbeing and achievement /
Subject
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Education
Creator
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Syama S - 1730096
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CHRIST (Deemed to be University)
Date
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2024-07-16
Language
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English
Type
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PhD
-
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PHD
PhD
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61000323
Title
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Mind-Set In Mathematics Learning : Role of Teacher-Student Interaction on Student Engagement, Wellbeing and Achievemrent
Subject
The topic of the resource
Education
Description
An account of the resource
Mathematics learning is an integral part of the school curriculum. Children learn basic concepts in mathematics and then gradually reach the abstract level. Challenges in
mathematics learning are largely observed after grade seven. Students may show disinterest towards the subject due to several reasons including past learning
experiences, teacher-student interaction (TSI), anxiety and self-efficacy levels. If the students cannot connect what they learn, it impacts their interaction in the classroom,
and it acts as a reason for losing interest. The literature review reveals the importance of mathematics anxiety, self-efficacy, and utility value and contribute to the construct of
mind-set. Student engagement is influenced by mind-set in mathematics learning and TSI, and predicts achievement and wellbeing. The study adopts a mixed-method design
with the qualitative study aiming to support the quantitative study and strengthen the validity of the results. The quantitative study sample consists of 774 eighth graders
from various English medium schools in Bengaluru, Karnataka. The qualitative phase seeks to determine the students' perception of mathematics learning through their
classroom experiences among 17 students using semi-structured interviews. The tested conceptual model shows an excellent fit. It shows mind-set in mathematics affects TSI,
influences student engagement and leads to student-wellbeing. There was no indirect effect for the achievement and other variables. The findings related to the open-ended
questions indicate the importance of teachers and content. There is a lack of understanding among students about the practical application of the learning content.
The thematic analysis results provided five main themes: student attributes, teacher attributes, classroom environment, content-related and utility value. Integration of the
findings leads to the importance of TSI and student engagement in the mathematics classroom. Also, the connection between variables related to mathematics learning and
student wellbeing. The results of the study have important implications for developing engaging pedagogies.
Creator
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Syama, S
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Author's Submission
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Christ(Deemed to be University)
Date
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2024-01-01
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Jacqueline, Kareem
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Open Access
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PDF
Language
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English
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PhD
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<a href="http://hdl.handle.net/10603/569997" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/569997</a>
-
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Articles
Article
Faculty Publications -Articles
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Seasonal study on the Aquatic and Terrestrial Habitat of Edayar region, Ernakulam, Kerala, India
Subject
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Diversity Indices; Plant diversity; Quadrat Study; Random sampling; Species diversity
Description
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This study examines the plant diversity and physicochemical characteristics of both aquatic and terrestrial ecosystems in the industrialized region of Edayar, Kadungalloor, Ernakulam, Kerala, India. The research is conducted seasonally, encompassing the four seasons of Kerala: southwest monsoon, northeast monsoon, winter season and summer season. Edayar is home to approximately 400 industries. The main objective of this study is to assess the plant diversity with a specific focus on herb and macrophyte diversity, in the Edayar region, along with analyzing the physicochemical properties of soil and water. Random sampling using quadrat techniques is employed to collect data on species diversity. Diversity indices, such as the Simpson Index and Shannon-Wiener index are utilized to analyze the recorded species diversity. Scoparia dulcis L. among herb species and Eichhornia crassipes (Mart.) Solms among macrophytes were found dominating in all the seasons. The results for the physico-chemical analysis of water and soil were found approaching the threshold of standard limits.The findings provide valuable insights into plant diversity and ecological dynamics of the Edayar region, which have been significantly impacted by industrial activities. The outcomes serve as a basis for the development and implementation of effective conservation and management strategies to mitigate potential ecological risks associated with industrial activities in the region. 2024 World Researchers Associations. All rights reserved.
Creator
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Syamlal C.A.; Sayantan D.
Source
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Research Journal of Chemistry and Environment, Vol-28, No. 11, pp. 82-98.
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World Researchers Associations
Date
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2024-01-01
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<a href="https://doi.org/10.25303/2811rjce082098" target="_blank" rel="noreferrer noopener">https://doi.org/10.25303/2811rjce082098</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207397803&doi=10.25303%2F2811rjce082098&partnerID=40&md5=d8ab4232a2d5ba5205ae1ffebce6cc55" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207397803&doi=10.25303%2f2811rjce082098&partnerID=40&md5=d8ab4232a2d5ba5205ae1ffebce6cc55</a>
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All Open Access; Green Open Access
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ISSN: 22784527
Format
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Online
Language
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English
Type
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Article
Coverage
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Syamlal C.A., Department of Life Sciences, Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India; Sayantan D., Department of Life Sciences, Christ (Deemed to be University), Karnataka, Bengaluru, 560029, India
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Articles
Article
Faculty Publications -Articles
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Accumulation of heavy metals (Cr, Cu, As, Cd, Pb, Zn, Fe, Ni, Co) in the water, soil and plants collected from Edayar Region, Ernakulam, Kerala, India
Subject
The topic of the resource
ICP-MS; industrialisation; toxicity; urbanization
Description
An account of the resource
The accumulation of heavy metals in the environment is a significant concern due to their potential toxicity and persistence. This study investigates the levels of heavy metal contamination in the water, soil and plants of the Edayar region in Ernakulam, Kerala, India. The region has experienced industrialization and urbanization, leading to concerns about heavy metal pollution. The study aims to assess the concentrations of chromium (Cr), copper (Cu), arsenic (As), cadmium (Cd), lead (Pb), zinc (Zn), iron (Fe), nickel (Ni) and cobalt (Co) in water, soil, aquatic and terrestrial plants. Samples were collected from various locations within the Edayar region, and Inductively Coupled Plasma Mass Spectrometry (ICP-MS) was conducted to quantify heavy metal concentrations. The findings of this study will contribute to the assessment of heavy metal pollution in the Edayar region. Plants with a high diversity index were taken for analysis from both aquatic and terrestrial habitats. Scoparia dulcis L. seems to specialize in metal accumulation, possibly for protective purposes. Synedrella nodiflora Gaertn demonstrates adaptability to metal-rich environments through robust metal uptake and tolerance mechanisms. Alternanthera philoxeroides (Mart.) Griseb, on the other hand, appears to have developed mechanisms to manage heavy metal exposure. The results indicate significant levels of heavy metal contamination across all samples, with the highest concentrations detected in soil, followed by water and plants. Chromium and lead levels in soil exceeded the permissible limits set by international standards, posing potential risks to human health and the ecosystem. The accumulation patterns in plants varied, with higher bioaccumulation factors observed for zinc and copper, suggesting their preferential uptake. This study highlights the urgent need for remediation strategies and continuous monitoring to mitigate the impact of heavy metal pollution in the Edayar region. The results will help in understanding the environmental impact of human activities. Copyright: The Author(s).
Creator
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Syamlal C.A.; Sayantan D.
Source
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Plant Science Today, Vol-11, No. 4, pp. 907-923.
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Horizon e-Publishing Group
Date
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2024-01-01
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<a href="https://doi.org/10.14719/pst.3385" target="_blank" rel="noreferrer noopener">https://doi.org/10.14719/pst.3385</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207806084&doi=10.14719%2Fpst.3385&partnerID=40&md5=5c4e083282e789bdf0a99ac753f23e3b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85207806084&doi=10.14719%2fpst.3385&partnerID=40&md5=5c4e083282e789bdf0a99ac753f23e3b</a>
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Restricted Access
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ISSN: 23481900
Format
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Online
Language
A language of the resource
English
Type
The nature or genre of the resource
Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Syamlal C.A., Department of Life Sciences, Christ University, Karnataka, Bengaluru, 560029, India; Sayantan D., Department of Life Sciences, Christ University, Karnataka, Bengaluru, 560029, India
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Articles
Article
Faculty Publications -Articles
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Title
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Unraveling the Interplay Between Biodiversity and Heavy Metal Content in Elookkaras Aquatic and Terrestrial Ecosystems
Subject
The topic of the resource
Biodiversity; bioremediation; heavy metals; Inductively Coupled Plasma Mass Spectrometry (ICP-MS)
Description
An account of the resource
Background and Objective: There exists a notable correlation between biodiversity and the concentration of heavy metals, particularly concerning their role in bioremediation efforts. This study was about the heavy metal content in the aquatic and terrestrial ecosystem of Eloorkkara, located in the Kadungalloor Grama Panchayat of Kerala, India. Materials and Methods: Sampling was systematically carried out across all four seasons in order to capture the fluctuations in seasonal disturbances. Eight samples each of groundwater, river water, aquatic soil and terrestrial soil were randomly collected from the study area. Additionally, three dominant plant species from both aquatic and terrestrial habitats were carefully selected for analysis. Utilizing Inductively Coupled Plasma Mass Spectrometry (ICP-MS), the samples underwent thorough analysis to measure the levels of Cr, Cu, As, Cd, Pb, Zn, Fe, Ni and Co concentrations. Results: Indicate significant differences in heavy metal concentrations across various plant species and throughout seasonal changes, emphasizing the complex processes involved in metal accumulation. Terrestrial ecosystems exhibited higher species richness compared to aquatic ecosystems. Areas with high biodiversity tended to have lower metal concentration suggesting a potential mitigating effect of diverse ecosystems and areas with poor diversity had higher heavy metal concentration suggesting the vulnerability of degraded ecosystems. Conclusion: The research highlights the crucial role of biodiversity in influencing the absorption and dispersion of heavy metals within ecosystems. These findings carry significant implications for environmental management and conservation efforts aimed at curbing heavy metal pollution and safeguarding biodiversity in Elookkara and analogous environments. 2024 Chandni Asha Syamlal and D. Sayantan.
Creator
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Syamlal C.A.; Sayantan D.
Source
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Asian Journal of Plant Sciences, Vol-23, No. 3, pp. 321-329.
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Asian Network for Scientific Information
Date
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2024-01-01
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<a href="https://doi.org/10.3923/ajps.2024.321.329" target="_blank" rel="noreferrer noopener">https://doi.org/10.3923/ajps.2024.321.329</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200332940&doi=10.3923%2Fajps.2024.321.329&partnerID=40&md5=593dd11790cc49816a0986e3d36d3732" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200332940&doi=10.3923%2fajps.2024.321.329&partnerID=40&md5=593dd11790cc49816a0986e3d36d3732</a>
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Restricted Access
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ISSN: 16823974
Format
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Online
Language
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English
Type
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Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Syamlal C.A., Department of Life Sciences, Christ University, Karnataka, Bengaluru, 560029, India; Sayantan D., Department of Life Sciences, Christ University, Karnataka, Bengaluru, 560029, India
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Application of Regression Analysis of Student Failure Rate
Subject
The topic of the resource
Machine learning; Regression; Student failure
Description
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The education sector has been rapidly growing and is currently facing several challenges. One such challenge is identifying students who are at risk of failing, as this can help educators provide targeted interventions to improve student performance. Machine learning models have been developed to predict the probability of student failure based on various student performance metrics to address this issue. In this paper, we present a regression-based model that predicts the probability of student failure using student performance metrics such as attendance, previous academic performance, and demographic information. The model was trained on a dataset of students and achieved high accuracy in predicting the probability of student failure. While the model performs well in predicting the probability of student failure, there is always room for improvement. Possible enhancements to the model include feature engineering, ensemble learning, hyperparameter tuning, deep learning, and interpretability. These enhancements can improve the models accuracy, stability, and transparency, leading to better predictions and targeted interventions for at-risk students. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
Creator
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Sybol S.S.; Srivasatava S.; Sharma S.
Source
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Lecture Notes in Networks and Systems, Vol-994 LNNS, pp. 897-910.
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Springer Science and Business Media Deutschland GmbH
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1007/978-981-97-3180-0_60" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-97-3180-0_60</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200688709&doi=10.1007%2F978-981-97-3180-0_60&partnerID=40&md5=d269e62e262b31349558f23eba348da6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85200688709&doi=10.1007%2f978-981-97-3180-0_60&partnerID=40&md5=d269e62e262b31349558f23eba348da6</a>
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ISSN: 23673370; ISBN: 978-981973179-4
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Online
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English
Type
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Conference paper
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Sybol S.S., CHRIST (Deemed to be University), Delhi NCR, India; Srivasatava S., CHRIST (Deemed to be University), Delhi NCR, India; Sharma S., Uttaranchal University, Dehradun, India
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Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Conference Papers
Conference Paper
Faculty Publications- Conference Papers
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Title
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Soft Computing Approach for Student Dropouts in Education System
Subject
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Education; Educational technology; Soft computing
Description
An account of the resource
The education system has increased the number of dropouts in the coming years, decreasing the number of educated people. Education system refers to a group of institutions like ministries of education, local education bodies, teacher training institutes, universities, colleges, schools, and more whose primary purpose is to provide education to all the people, especially young people and children in educational settings. The research aims to improve the student dropout rate in the education system by focusing on students performance and feedback. The students dropout rate can be calculated based on complexity, credits, attendance, and different parameters. This study involves the extensive study that inculcates student dropout with their performance and other parameters with soft computing approaches. There are various soft computing approaches used in the education system. The approaches and techniques used are sequential pattern mining, sentimental analysis, text mining, outlier decision, correlation mining, density estimation, etc. The approaches and techniques will be beneficial to calculating and decreasing the rate of dropout of students in the education system. The research will make a unique contribution to improved education by calculating the dropout rate of students. In particular, we argue that the dropout rate is increasing, so soft computing techniques can be the solution to improvise/reduce the dropout rate. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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Sybol S.S.; Srivastava S.; Sharma H.
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Lecture Notes in Networks and Systems, Vol-547, pp. 325-335.
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Springer Science and Business Media Deutschland GmbH
Date
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2023-01-01
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<a href="https://doi.org/10.1007/978-981-19-6525-8_25" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-19-6525-8_25</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150986746&doi=10.1007%2F978-981-19-6525-8_25&partnerID=40&md5=ae56209356acf86cd05e6d4beb1efa98" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85150986746&doi=10.1007%2f978-981-19-6525-8_25&partnerID=40&md5=ae56209356acf86cd05e6d4beb1efa98</a>
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ISSN: 23673370; ISBN: 978-981196524-1
Format
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Online
Language
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English
Type
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Conference paper
Coverage
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Sybol S.S., CHRIST (Deemed to be University), NCR, Delhi, India; Srivastava S., CHRIST (Deemed to be University), NCR, Delhi, India; Sharma H., Sheffield Hallam University, Sheffield, United Kingdom
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https://archives.christuniversity.in/files/original/7f66211f0e099a45af9a11362628a77d.pdf
778650e17bf339f808e580b408bf2ef0
Dublin Core
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Title
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MPHIL
Mphil
Mphil Thesis
Dublin Core
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Title
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Decentering Religious Metanarratives: A Study of Popular Memes
Creator
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Syeda Nida
Date
A point or period of time associated with an event in the lifecycle of the resource
2017
Source
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English
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Social support and help-seeking worldwide
Subject
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Cross-cultural; Cultural values; Regional; Social support; Subjective social status
Description
An account of the resource
Social support has long been associated with positive physical, behavioral, and mental health outcomes. However, contextual factors such as subjective social status and an individuals cultural values, heavily influence social support behaviors (e.g., perceive available social support, accept support, seek support, provide support). We sought to determine the current state of social support behaviors and the association between these behaviors, cultural values, and subjective social support across regions of the world. Data from 6,366 participants were collected by collaborators from over 50 worldwide sites (67.4% or n = 4292, assigned female at birth; average age of 30.76). Our results show that individuals cultural values and subjective social status varied across world regions and were differentially associated with social support behaviors. For example, individuals with higher subjective social status were more likely to indicate more perceived and received social support and help-seeking behaviors; they also indicated more provision of social support to others than individuals with lower subjective social status. Further, horizontal, and vertical collectivism were related to higher help-seeking behavior, perceived support, received support, and provision of support, whereas horizontal individualism was associated with less perceived support and less help-seeking and vertical individualism was associated with less perceived and received support, but more help-seeking behavior. However, these effects were not consistently moderated by region. These findings highlight and advance the understanding of how cross-cultural complexities and contextual distinctions influence an individual's perception, processing, and practice of social support embedded in the changing social landscape. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024.
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Szkody E.; Spence A.; do?ru A.; Tushir B.; Chang F.; AKKA? H.; Sotomayor I.; Pavlova I.; Petrovic I.; Norvilitis J.; Pena-Shaff J.; Maney J.; Arrow K.; Rodriguez L.; Moussa-Rogers M.; McTighe M.; Ogba K.T.U.; Yeung S.K.W.A.; Stoppa T.; Yang Y.; Gosnell C.L.; Jie-Brink G.; Van Nostrand J.J.; Arriaga P.; Martin A.; Maksimovic A.; Ursu A.; Karakulak A.; Fitapelli B.; Ashdown B.K.; Sen C.K.N.; Chartier C.; Shane-Simpson C.; Redker C.M.; McKinney C.; Baro D.; Manrique-Millones D.; Reis E.S.; Adamopoulou E.; Volkan E.; Tair E.; Trujillo E.; Kocalar H.E.; Blocker H.; Malik H.; Orta ?.M.; Santos J.C.; Grahe J.; Cuccolo K.; Wignall L.; McLain M.; Kosic M.; Aita M.; Nash M.; Miracle O.O.; Christiano O.; Dimitrova R.; Varma R.; Mann R.; Dhakal S.; Estrada-Villalta S.; Haden S.; Hamilton S.; Camg S.M.; Aljuberi S.; Chin S.; Kohn S.; Verma S.K.; Fletcher T.; Singh T.; Sanders A.; Collado A.; Adusei A.; Itani A.; Kaser A.; Wolfe A.; Stout A.; Akhavan A.; Kirton A.; n-Ero?ul A.R.; Bilir B.; Dupiton C.; Lovett C.; Orsini C.; Kpodo C.; Aceto C.; Redden C.; NyKanen D.; Yildiz D.; Lutringer E.; SevinE.; Baranski E.; Khan F.; Jia F.; Cramariuc G.; Zhang G.; Resulbegoviq H.; Maree H.; Kaur H.; Nelson J.; Espinoza J.S.C.; Hubbard J.; Edlund J.; Protzko J.; Hoang J.; Stork J.; Vasu J.; Salazar J.V.; Myhers K.; Hayward K.; Lu K.; Beardmore L.; Levkiv L.; Godoy L.K.H.; Paulett L.; Gonzalez M.F.B.; Kalantzis M.; Rodrigues M.; varez M.M.; Ott M.; Zlokovich M.; Brosnan M.K.; Mazzaferro M.; Yetkin M.; Johnson M.; Vukelic M.; Clark M.; AlMalik M.; Fedavi N.; Means-Simonsen N.; Cabrera O.; Kovacevic P.; Zhang Q.; Rushing R.; Varakis R.; Richardson R.; Koch S.; Lewis S.; Barrera S.; Zheng S.; Liu S.; Papka S.; Das S.; Ghimire S.; Verma T.; Hillman T.; Ozkusen U.C.; Zhang X.; Gu Y.; Redd B.; Cascalheira C.J.
Source
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Current Psychology, Vol-43, No. 22, pp. 20165-20181.
Publisher
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Springer
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1007/s12144-024-05764-5" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/s12144-024-05764-5</a>
<br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187929592&doi=10.1007%2Fs12144-024-05764-5&partnerID=40&md5=6ac5f30fa065f957ca79f4b79047b380" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85187929592&doi=10.1007%2fs12144-024-05764-5&partnerID=40&md5=6ac5f30fa065f957ca79f4b79047b380</a>
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Restricted Access
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ISSN: 10461310
Format
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Online
Language
A language of the resource
English
Type
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Article
Coverage
The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant
Szkody E., Stony Brook University, Stony Brook, NJ, United States, Stony Brook University, 100 Nicolls Road, Stony Brook, 11790, NY, United States; Spence A., Pace University, New York, NY, United States; do?ru A., kar University, Istanbul, Turkey, Marmara University, ?stanbul, Turkey; Tushir B., Christ College, Bengaluru, India; Chang F., Columbia University, New York, NY, United States; AKKA? H., Ankara Science University, Ankara, Turkey; Sotomayor I., Stony Brook University, Stony Brook, NJ, United States; Pavlova I., Lviv State University, Lviv, Ukraine; Petrovic I., University of Belgrade, Belgrade, Serbia; Norvilitis J., SUNY Buffalo State, Buffalo, NY, United States; Pena-Shaff J., Ithaca College, Ithaca, NY, United States; Maney J., Columbia University, New York, NY, United States; Arrow K., Eastern University, St. Davids, PA, United States; Rodriguez L., Northern Arizona University, Flagstaff, AZ, United States; Moussa-Rogers M., University of South Carolina, Columbia, SC, United States; McTighe M., Rochester Institute of Technology, New York, NY, United States; Ogba K.T.U., University of Nigeria, Nsukka, Nigeria; Yeung S.K.W.A., Columbia University, New York, NY, United States; Stoppa T., Eastern University, St. Davids, PA, United States; Yang Y., Stony Brook University, Stony Brook, NJ, United States; Gosnell C.L., Pace University, New York, NY, United States; Jie-Brink G., William Paterson University, Wayne, NJ, United States; Van Nostrand J.J., Eastern Oregon University, La Grande, OR, United States; Arriaga P., Instituto Universitio de Lisboa, Lisbon, Portugal; Martin A., Rockford University, Rockford, IL, United States; Maksimovic A., University of Donja Gorica, Podgorica, Montenegro; Ursu A., University ?tefan Cel Mare of Suceava, Suceava, Romania; Karakulak A., MEF University, Istanbul, Turkey; Fitapelli B., Columbia University, New York, NY, United States; Ashdown B.K., American University of Sharjah, Sharjah, United Arab Emirates; Sen C.K.N., Ozyegin University, Istanbul, Turkey; Chartier C., Ashland University, Ashland, OH, United States; Shane-Simpson C., University of Wisconsin, Stout, Menomonie, WI, United States; Redker C.M., Ferris State University, Big Rapids, MI, United States; McKinney C., Mississippi State University, Starkville, MS, United States; Baro D., New Mexico State University, Las Cruces, NM, United States; Manrique-Millones D., Universidad Cientica del Sur, Lima, Peru; Reis E.S., ISCTE, Lisbon, Portugal; Adamopoulou E., Business College of Athens, Athens, Greece; Volkan E., Cyprus International University, Nicosia, Cyprus; Tair E., Bulgarian Academy of Sciences, Sofia, Bulgaria; Trujillo E., Northern Arizona University, Flagstaff, AZ, United States; Kocalar H.E., Mu?la S?tk? Koan University, Mu?la, Turkey; Blocker H., Eastern Oregon University, La Grande, OR, United States; Malik H., University of North Carolina, Wilmington, NC, United States; Orta ?.M., Atilim University, Ankara, Turkey; Santos J.C., Central Luzon State University, Nueva Ecija, Philippines; Grahe J., Pacific Lutheran University, Parkland, WA, United States; Cuccolo K., Alma College, Alma, MI, United States; Wignall L., Bournemouth University, Poole, United Kingdom, University of Brighton, Brighton, United Kingdom; McLain M., Ball State University, Muncie Indiana, United States; Kosic M., Scientifc-Cultural Institute Manda, Doberddel Lago, Italy; Aita M., Rochester Institute of Technology, New York, NY, United States; Nash M., Michigan School of Psychology, Farmington Hills, MI, United States; Miracle O.O., Abia State University, Uturu, Nigeria; Christiano O., Central Connecticut State University, New Britain, CT, United States; Dimitrova R., Stockholm University, Stockholm, Sweden; Varma R., Amity University, Noida, India; Mann R., Dalton State College, Dalton, GA, United States; Dhakal S., Tribhuvan University, Kathmandu, Nepal; Estrada-Villalta S., Universidad del Valle de Guatemala, Guatemala City, Guatemala; Haden S., Long Island University, Brooklyn, NY, United States; Hamilton S., Fordham University, New York, NY, United States; Camg S.M., Hacettepe University, Ankara, Turkey; Aljuberi S., California State University East Bay, Hayward, CA, United States; Chin S., University of Louisville, Louisville, KY, United States; Kohn S., Valdosta State University, Valdosta, GA, United States; Verma S.K., Vivekananda College, Delhi, India; Fletcher T., West Liberty University, West Liberty, WV, United States; Singh T., Banaras Hindu University, Varanasi, India; Sanders A., Ashland University, Ashland, OH, United States; Collado A., Ithaca College, Ithaca, NY, United States; Adusei A., Columbia University, New York, NY, United States; Itani A., American University of Sharjah, Sharjah, United Arab Emirates; Kaser A., Ashland University, Ashland, OH, United States; Wolfe A., Columbia University, New York, NY, United States; Stout A., Rockford University, Rockford, IL, United States; Akhavan A., Columbia University, New York, NY, United States; Kirton A., Columbia University, New York, NY, United States; n-Ero?ul A.R., Mu?la S?tk? Koan University, Mu?la, Turkey; Bilir B., Ozyegin University, Istanbul, Turkey; Dupiton C., Columbia University, New York, NY, United States; Lovett C., Columbia University, New York, NY, United States; Orsini C., Columbia University, New York, NY, United States; Kpodo C., Pacific Lutheran University, Parkland, WA, United States; Aceto C., Columbia University, New York, NY, United States; Redden C., Columbia University, New York, NY, United States; NyKanen D., Alma College, Alma, MI, United States; Yildiz D., Ozyegin University, Istanbul, Turkey; Lutringer E., The Chicago School of Professional Psychology, Chicago, IL, United States; SevinE., Ankara Science University, Ankara, Turkey; Baranski E., California State University East Bay, Hayward, CA, United States; Khan F., Ozyegin University, Istanbul, Turkey; Jia F., Seton Hall University, South Orange, NJ, United States; Cramariuc G., University ?tefan Cel Mare of Suceava, Suceava, Romania; Zhang G., Ball State University, Muncie Indiana, United States; Resulbegoviq H., University of Donja Gorica, Podgorica, Montenegro; Maree H., American University of Sharjah, Sharjah, United Arab Emirates; Kaur H., Banaras Hindu University, Varanasi, India; Nelson J., New Mexico State University, Las Cruces, NM, United States; Espinoza J.S.C., Universidad del Valle de Guatemala, Guatemala City, Guatemala; Hubbard J., New Mexico State University, Las Cruces, NM, United States; Edlund J., Rochester Institute of Technology, New York, NY, United States; Protzko J., Central Connecticut State University, New Britain, CT, United States; Hoang J., Columbia University, New York, NY, United States; Stork J., Rockford University, Rockford, IL, United States; Vasu J., Columbia University, New York, NY, United States; Salazar J.V., Ithaca College, Ithaca, NY, United States; Myhers K., Rockford University, Rockford, IL, United States; Hayward K., Rockford University, Rockford, IL, United States; Lu K., Columbia University, New York, NY, United States; Beardmore L., Columbia University, New York, NY, United States; Levkiv L., Lviv State University, Lviv, Ukraine; Godoy L.K.H., Universidad del Valle de Guatemala, Guatemala City, Guatemala; Paulett L., Universidad Cientica del Sur, Lima, Peru; Gonzalez M.F.B., Universidad del Valle de Guatemala, Guatemala City, Guatemala; Kalantzis M., Bowling Green State University, Bowling Green, OH, United States; Rodrigues M., Columbia University, New York, NY, United States; varez M.M., Universidad del Valle de Guatemala, Guatemala City, Guatemala; Ott M., Rockford University, Rockford, IL, United States; Zlokovich M., Psi Chi, Chattanooga, TN, United States; Brosnan M.K., Columbia University, New York, NY, United States; Mazzaferro M., Columbia University, New York, NY, United States; Yetkin M., Bahcesehir University, Istanbul, Turkey; Johnson M., Rockford University, Rockford, IL, United States; Vukelic M., University of Belgrade, Belgrade, Serbia; Clark M., Rockford University, Rockford, IL, United States; AlMalik M., American University of Sharjah, Sharjah, United Arab Emirates; Fedavi N., American University of Sharjah, Sharjah, United Arab Emirates; Means-Simonsen N., Columbia University, New York, NY, United States; Cabrera O., Ithaca College, Ithaca, NY, United States; Kovacevic P., University of Belgrade, Belgrade, Serbia; Zhang Q., Columbia University, New York, NY, United States; Rushing R., Rockford University, Rockford, IL, United States; Varakis R., Business College of Athens, Athens, Greece; Richardson R., Columbia University, New York, NY, United States; Koch S., Long Island University, Brooklyn, NY, United States; Lewis S., Ashland University, Ashland, OH, United States, University of Alabama, Tuscaloosa, United States; Barrera S., Ball State University, Muncie Indiana, United States; Zheng S., Columbia University, New York, NY, United States; Liu S., Columbia University, New York, NY, United States; Papka S., Long Island University, Brooklyn, NY, United States; Das S., Amity University, Noida, India; Ghimire S., Tribhuvan University, Kathmandu, Nepal; Verma T., Columbia University, New York, NY, United States; Hillman T., Rockford University, Rockford, IL, United States; Ozkusen U.C., Ozyegin University, Istanbul, Turkey; Zhang X., Columbia University, New York, NY, United States; Gu Y., Columbia University, New York, NY, United States; Redd B., New Mexico State University, Las Cruces, NM, United States; Cascalheira C.J., New Mexico State University, Las Cruces, NM, United States
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Dublin Core
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Title
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PHD
PhD
PhD Thesis
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
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61000216
Title
A name given to the resource
An Investigation of Multifractality and Herd Behaviour in Indian Capital Market During Macro-Political Events : An Empirical Evidence Through Econophysics Approach
Subject
The topic of the resource
Management Studies
Description
An account of the resource
The financial markets worldwide exhibit several complex and dynamic features in them. Among them, Multifractality is one of the most significant features of complex systems, and it has been identified and examined in the financial markets in recent years. Besides, studies in the past confirm that there exists a linkage between multifractality and herding behaviour in financial markets during extreme events. The current study attempts to investigate the presence of Multifractality caused by herding behaviour in the segments of the Indian capital market during the macro-political events. For this, the macro- political events were classified into three broad categories pre-scheduled events, intensified geopolitical events and uncertain macro-political events. Further, two major segments of the Indian capital market, namely, the equity and the Forex segment, were examined. The study employed the Multifractal Detrended Fluctuation Analysis approach to examine the Multifractality caused by herding behaviour during macro-political events. In addition, the study also measured the volatility surface and quantified the information uncertainty present in the selected segments of the Indian capital market. The findings suggest that the macro-political events impact the multifractality and herding behaviour in the examined segments of the Indian capital market. However, the degree of the multifractality caused by the herding behaviour traced in the market segments is event-specific. It differs based on the type of macro-political event. The overall analysis suggests that the pre-scheduled macro-political event's impact was higher for both equity and forex segments of the Indian capital market. Further, a high degree of multifractality caused by herding behaviour was traced in the Nifty segments during the intensified geopolitical events. On the other hand, uncertain macro-political events had no impact on the multifractality caused by the herding behaviour in equity and forex segments. The study results provide some significant implications for various market participants for investment decision-making and portfolio risk diversification during the macro-political events in India.
Creator
An entity primarily responsible for making the resource
T A, Krishna
Source
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Author's Submission
Publisher
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Christ(Deemed to be University)
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-01-01
Contributor
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B, Suresha
Rights
Information about rights held in and over the resource
Open Access
Format
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PDF
Language
A language of the resource
English
Type
The nature or genre of the resource
PhD
Identifier
An unambiguous reference to the resource within a given context
<a href="http://hdl.handle.net/10603/465465" target="_blank" rel="noreferrer noopener">http://hdl.handle.net/10603/465465</a>
-
https://archives.christuniversity.in/files/original/25da320d2bc605c1d7c138e98a8a1754.pdf
5f6e02ae207ec185b374a8b6c82b00a8
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Thesis
PhD
PhD Thesis
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
An Investigation of multifractality and herd behaviour in the Indian capital market during macro political events an empirical evidence through econophysics approach /
Subject
The topic of the resource
Management
Creator
An entity primarily responsible for making the resource
T A, Krishna - 1920071
Publisher
An entity responsible for making the resource available
CHRIST (Deemed to be University)
Date
A point or period of time associated with an event in the lifecycle of the resource
2023-06-27
Language
A language of the resource
English
Type
The nature or genre of the resource
PhD
-
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Articles
Article
Faculty Publications -Articles
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
A name given to the resource
Developing a steady state wear equation for AA7050 hybrid composites/steel interface at elevated temperature
Subject
The topic of the resource
carbon nanotubes; hardness; High-temperature tribology; wear equation; worn surface morphology
Description
An account of the resource
In this research work, an attempt was made to reinforce AA7050/5Gr composites with multi-walled carbon nanotube (MWCNT) of varying weight percentages processed through stir casting route. SEM with EDS mapping revealed that the particles were uniformly distributed over the composites. Hardness reduces with increasing MWCNT weight percentage owing to the inverse hall petch effect and increment in void content. A third-body abrasion, which happens when the CNT in the aluminium matrix material detaches from the surface and erodes material from the composites pin as well as the counter face, causes the wear resistance to rise with the addition of CNT particles. A mechanically mixed layer, which avoids direct metal-to-metal contact and thus increases wear resistance, was created at the abraded surface and at high temperature, where the reduction of wear rate was due to the development of oxide protective layer. A steady-state wear equation for the contacting surface at high temperature (R = 1/Y ?(ln W/2X)) for AA7050 hybrid compositessteel interface was developed. The enhancement in wear resistance was directly proportional to the proportion of ferrous content present on the surface, which was confirmed on the elemental analysis. Pock marks, micropits, craters and cracks were the features observed on the worn surface morphology, whereas delamination and plasticisation were the observed modes of wear mechanism. 2023 Informa UK Limited, trading as Taylor & Francis Group.
Creator
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T K N.; Jangam S.
Source
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Advances in Materials and Processing Technologies, Vol-10, No. 4, pp. 3546-3561.
Publisher
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Taylor and Francis Ltd.
Date
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2024-01-01
Identifier
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<a href="https://doi.org/10.1080/2374068X.2023.2253396" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/2374068X.2023.2253396</a>
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ISSN: 2374068X
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Online
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English
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Article
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T K N., Research Scholar, Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Jangam S., Department of Mechanical and Automobile Engineering, School of Engineering and Technology, CHRIST(Deemed to Be University), Karnataka, Bangalore, India
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https://archives.christuniversity.in/files/original/86163f315cf02110e9217d75906a15ef.pdf
b2d47b28d7d4a0125f0542d4d8d3c016
Dublin Core
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Title
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Thesis
PhD
PhD Thesis
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Title
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Linear and non linear electroconvection in a micropolar fluid /
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Mathematics
Description
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This thesis presents a theoretical study of linear and non-linear analyses of Rayleigh–Bénard–Marangoni/Rayleigh–Bénard electro convection in a micropolar fluid. The effects of non-uniform basic temperature gradient, suction–injection combination and gravity modulation have been studied in the presence of electric field. The effect of heat transfer in a micropolar fluid in the presence of electric field is also studied and results are presented graphically and discussed qualitatively. These problems assume greater importance in geophysics, astrophysics, oceanography, and engineering and in space situations with g-jitter connected with gravity stimulation study. Keeping in mind the importance and relevance of externally controlled internal convection in a micropolar liquid.
Creator
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T V Joseph - PHMT 0944303
Publisher
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CHRIST (Deemed to be University)
Date
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2014-12-22
Language
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English
Type
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PhD
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https://archives.christuniversity.in/files/original/a66a590d20403eefa63a8fb0ac7e7c71.pdf
12e5f88fd5d6597b6fcab1402cbc2971
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Title
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MASTERS
Masters' Dissertation
Masters Dissertation
Dublin Core
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Title
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A comparative analysis of KFC video advertisements and the impact on its customers of Bengaluru /
Creator
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T, Cyril. - 1324009
Date
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2015-02-03
Source
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Master of Science in Communication
Subject
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Media Studies
Description
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In India, today fast food being one of the most successful businesses and also all over the world because of the economic development, increase in per capita income, people having less time to cook, people having no time to wait in restaurants and people are ready to spend. One popular fast food chain in India is KFC and one of the tools of KFC to reach its customers is through visual advertisements.
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CHRIST (Deemed To Be University)
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Department of Media Studies
Format
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PDF
Language
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English
Type
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Masters Dissertation
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https://archives.christuniversity.in/files/original/f888e8de7aae88274724ccd3a39b5da6.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
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Title
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Patents
Subject
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Patent
Description
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Patent
Patent
Patents
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Title
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Machine learning based price negotiating e-commerce chatbot system /
Subject
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Computer Science
Description
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Patent Number: 202141050967, Applicant: Dr .V. Vijayagopal.
Machine learning based Price negotiator E-commerce chatbot system Abstract: On the e-commerce website described in this study, artificial intelligence chat bots are used. This chatbot can help to simplify the price negotiation process on an e-commerce website. The chatbot communicates with the user using user-friendly language. This chatbot has been integrated into an online market website.
Creator
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T, Ravikumar.
Source
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<a href="https://drive.google.com/file/d/1uBRPZfKw9KeKxV0kHdNNdc0K02KFlnQ5/view" target="_blank" title="Machine learning based price negotiating e-commerce chatbot system /" rel="noreferrer noopener">https://drive.google.com/file/d/1uBRPZfKw9KeKxV0kHdNNdc0K02KFlnQ5/view</a>
Publisher
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Intellectual Property India
Date
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2021-05-06
Language
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English
Type
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Patent
-
https://archives.christuniversity.in/files/original/0dc0a9d1cadc8a7b6c6aae3fed9b4c17.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
Dublin Core
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Title
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Patents
Subject
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Patent
Description
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Patent
Patent
Patents
Dublin Core
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Title
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Machine learning based bitcoin - cryptocurrency price predicator /
Subject
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Computer Science
Description
An account of the resource
Patent Number: 202141055964, Applicant: B.Rebecca Jeyavadhanam.Machine learning based Bitcoin - cryptocurrency price predictor Abstract: Due to the escalation of geopolitical and economic issues over the last two years, global currency values have fallen, the stock markets have had a rough patch, and investor wealth has dwindled. There has been a surge in the use of virtual currencies. It's no surprise that cryptocurrency, a well-known digital currency, has recently become a hot topic, with investors vying for a piece of the action and businesses eager to accept it as payment.
Creator
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T, Ravikumar.
Source
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<a href="https://drive.google.com/file/d/1CiE-k3dsme3NKVRGFGaaByFgYVBp9M6Y/view" target="_blank" title="Machine learning based bitcoin - cryptocurrency price predicator /" rel="noreferrer noopener">https://drive.google.com/file/d/1CiE-k3dsme3NKVRGFGaaByFgYVBp9M6Y/view</a>
Publisher
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Intellectual Property India
Date
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2021-05-09
Language
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English
Type
The nature or genre of the resource
Patent
-
https://archives.christuniversity.in/files/original/3cb44f01f8aa06adbc95de76a08e563a.jpg
0b6dfeeadbd8dbf97f5aef738454f6b9
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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Patents
Subject
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Patent
Description
An account of the resource
Patent
Patent
Patents
Dublin Core
The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/.
Title
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The effects on the financialand economic status of the country in covid pandemic @ its damages on human health /
Subject
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Management
Description
An account of the resource
Patent Number: 202241013748, Applicant: Dr. Ravikumar T.
The enhanced chi-square goodness of fit for the COVID-19 pandemic scenario is developed, and the proposed method is used to assess the increased testing rates in India and significant improvement in the COVID-19 medical sector. India has a population of approximately 1.39 billion people and is extremely densely inhabited in contrast to other countries. The current male population of 51.6 percent and the male population of 48.4 percent in areas with an overall low economic status have all posed significant challenges to India's first campaign against the COVID-19 hotspot.
Creator
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T, Ravikumar.
Source
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<a href="https://drive.google.com/file/d/1h_u6Hbq2CSO6-hTCWAVzI-zBZfagUEGw/view" target="_blank" title="The effects on the financialand economic status of the country in covid pandemic & its damages on human health /" rel="noreferrer noopener">https://drive.google.com/file/d/1h_u6Hbq2CSO6-hTCWAVzI-zBZfagUEGw/view</a>
Publisher
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Intellectual Property India
Date
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2022-05-18
Language
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English
Type
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Patent