239 20 11858 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 On the rainbow neighbourhood number of set-graphs Subject The topic of the resource i-max number; Maximax independence; Maximum proper colouring; Rainbow neighbourhood; Rainbow neighbourhood number; Set-graph Description An account of the resource In this paper, we present results for the rainbow neighbourhood numbers of set-graphs. It is also shown that set-graphs are perfect graphs. The intuitive colouring dilemma in respect of the rainbow neighbourhood convention is clarified as well. Finally, the new notion of the maximax independence, maximum proper colouring of a graph and a new graph parameter called the i-max number of G are introduced as a new research direction. 2020 the author(s). Creator An entity primarily responsible for making the resource Kok J.; Naduvath S. Source A related resource from which the described resource is derived Journal of Mathematical and Computational Science, Vol-10, No. 2, pp. 394-402. Publisher An entity responsible for making the resource available SCIK Publishing Corporation Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.28919/jmcs/4374" target="_blank" rel="noreferrer noopener">https://doi.org/10.28919/jmcs/4374</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079221768&doi=10.28919%2Fjmcs%2F4374&partnerID=40&md5=1a0cc995928d013e68d3ebd40598df0d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85079221768&doi=10.28919%2fjmcs%2f4374&partnerID=40&md5=1a0cc995928d013e68d3ebd40598df0d</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 19275307 Format The file format, physical medium, or dimensions of the resource 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 Kok J., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, Karnataka, India 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 Rainbow neighbourhood number of graphs Subject The topic of the resource Colour classes; Colour cluster; Expanded line graph; Rainbow neighbourhood; V-clique Description An account of the resource In this paper, we introduce the notion of the rainbow neighbourhood and a related graph parameter namely the rainbow neighbourhood number and report on preliminary results thereof. The closed neighbourhood N [v] of a vertex v ? V (G) which contains at least one coloured vertex of each colour in the chromatic colouring of a graph is called a rainbow neighbourhood. The number of rainbow neighbourhoods in a graph G is called the rainbow neighbourhood number of G, denoted by r?(G). We also introduce the concepts of an expanded line graph of a graph G and a v-clique of v ? V (G). With the help of these new concepts, we also establish a necessary and sufficient condition for the existence of a rainbow neighbourhood in the line graph of a graph G. 2019 Johan Kokand Sudev Naduvath and Muhammad Kamran Jamil. Creator An entity primarily responsible for making the resource Kok J.; Naduvath S.; Jamil M.K. Source A related resource from which the described resource is derived Proyecciones, Vol-38, No. 3, pp. 470-483. Publisher An entity responsible for making the resource available Universidad Catolica del Norte Date A point or period of time associated with an event in the lifecycle of the resource 2019-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22199/issn.0717-6279-2019-03-0030" target="_blank" rel="noreferrer noopener">https://doi.org/10.22199/issn.0717-6279-2019-03-0030</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069857355&doi=10.22199%2Fissn.0717-6279-2019-03-0030&partnerID=40&md5=bd86c8ed8b124434a225efdeea99577b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85069857355&doi=10.22199%2fissn.0717-6279-2019-03-0030&partnerID=40&md5=bd86c8ed8b124434a225efdeea99577b</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 7160917 Format The file format, physical medium, or dimensions of the resource 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 Kok J., CHRIST (Deemed to be University), Department of Mathematics, Bangalore, Karnataka, 560029, India; Naduvath S., CHRIST (Deemed to be University), Department of Mathematics, Bangalore, Karnataka, 560029, India; Jamil M.K., Riphah International University, Department of Mathematics, Riphah Institute of Computing and Applied Sciences, Lahore, Pakistan 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 Generalisation of the rainbow neighbourhood number and k-jump colouring of a graph Subject The topic of the resource K-jump colouring; K-rainbow neighbourhood; K-rainbow neighbourhood number Description An account of the resource In this paper, the notions of rainbow neighbourhood and rainbow neigh-bourhood number of a graph are generalised and further to these general-isations, the notion of a proper k-jump colouring of a graph is also intro-duced. The generalisations follow from the understanding that a closed k-neighbourhood of a vertex v ? V (G) denoted, Nk [v] is the set, Nk [v] = {u: d(v, u) ? k, k ? N and k ? diam(G)}. If the closed k-neighbourhood Nk [v] contains at least one of each colour of the chromatic colour set, we say that v yields a k-rainbow neighbourhood. 2020, Eszterhazy Karoly College. All rights reserved. Creator An entity primarily responsible for making the resource Kok J.; Naduvath S.; Mphako-Banda E.G. Source A related resource from which the described resource is derived Annales Mathematicae et Informaticae, Vol-52, pp. 147-158. Publisher An entity responsible for making the resource available Eszterhazy Karoly College Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.33039/ami.2020.02.003" target="_blank" rel="noreferrer noopener">https://doi.org/10.33039/ami.2020.02.003</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098058964&doi=10.33039%2Fami.2020.02.003&partnerID=40&md5=84caf7b2ea843511b4df4048626bdf23" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85098058964&doi=10.33039%2fami.2020.02.003&partnerID=40&md5=84caf7b2ea843511b4df4048626bdf23</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Relation A related resource ISSN: 17875021 Format The file format, physical medium, or dimensions of the resource 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 Kok J., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, 560029, India; Mphako-Banda E.G., School of Mathematical Sciences, University of Witswatersrand Johannesburg, South Africa 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 A Study on Ornated Graphs Subject The topic of the resource Degree sequence; Kyle graph; ornated graph; symmetric directed graph Description An account of the resource In this paper, we introduce the notion of a finite non-simple directed graph called, an ornated graph. An ornated graph is a directed graph on n vertices, denoted by On(sl), whose vertices are consecutively labeled clockwise on the circumference of a circle and constructed from an ordered string sl. Joining vertices is such that for an odd indexed entry at of the string, a tail vertex vi has clockwise heads vj if and only if (i + at) ? j. For an even indexed entry as of the string, a tail vertex vi has anticlockwise heads vj if and only if (i - as) ? j. Some interesting results for certain types of ornated graphs are presented. 2023 World Scientific Publishing Company. Creator An entity primarily responsible for making the resource Kok J.; Naduvath S.; Mukungunugwa V. Source A related resource from which the described resource is derived Journal of Interconnection Networks, Vol-23, No. 1 Publisher An entity responsible for making the resource available World Scientific Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1142/S0219265921500353" target="_blank" rel="noreferrer noopener">https://doi.org/10.1142/S0219265921500353</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135418118&doi=10.1142%2FS0219265921500353&partnerID=40&md5=ac152045ace1cf693e7a06e156f72f07" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85135418118&doi=10.1142%2fS0219265921500353&partnerID=40&md5=ac152045ace1cf693e7a06e156f72f07</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 2192659 Format The file format, physical medium, or dimensions of the resource 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 Kok J., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India; Naduvath S., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India; Mukungunugwa V., Department of Mathematics and Applied Mathematics, University of Zimbabwe, 630 Churchill Ave, Harare, Harare, Zimbabwe 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 Root cause analysis of COVID-19 cases by enhanced text mining process Subject The topic of the resource Dunn index; Feature engineering; Feature hashing; Hierarchical dirichlet process; K-means; Latent dirichlet allocation; Latent semantic analysis Description An account of the resource The main focus of this research is to find the reasons behind the fresh cases of COVID-19 from the publics perception for data specific to India. The analysis is done using machine learning approaches and validating the inferences with medical professionals. The data processing and analysis is accomplished in three steps. First, the dimensionality of the vector space model (VSM) is reduced with improvised feature engineering (FE) process by using a weighted term frequency-inverse document frequency (TF-IDF) and forward scan trigrams (FST) followed by removal of weak features using feature hashing technique. In the second step, an enhanced K-means clustering algorithm is used for grouping, based on the public posts from Twitter. In the last step, latent dirichlet allocation (LDA) is applied for discovering the trigram topics relevant to the reasons behind the increase of fresh COVID-19 cases. The enhanced K-means clustering improved Dunn index value by 18.11% when compared with the traditional K-means method. By incorporating improvised two-step FE process, LDA model improved by 14% in terms of coherence score and by 19% and 15% when compared with latent semantic analysis (LSA) and hierarchical dirichlet process (HDP) respectively thereby resulting in 14 root causes for spike in the disease. 2022 Institute of Advanced Engineering and Science. All rights reserved. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived International Journal of Electrical and Computer Engineering, Vol-12, No. 2, pp. 1807-1817. Publisher An entity responsible for making the resource available Institute of Advanced Engineering and Science Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.11591/ijece.v12i2.pp1807-1817" target="_blank" rel="noreferrer noopener">https://doi.org/10.11591/ijece.v12i2.pp1807-1817</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122797667&doi=10.11591%2Fijece.v12i2.pp1807-1817&partnerID=40&md5=4e66a598625e7ab8ac376449fdc8c251" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122797667&doi=10.11591%2fijece.v12i2.pp1807-1817&partnerID=40&md5=4e66a598625e7ab8ac376449fdc8c251</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 20888708 Format The file format, physical medium, or dimensions of the resource 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 Kokatnoor S.A., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Krishnan B., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India 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 A two-stepped feature engineering process for topic modeling using batchwise LDA with stochastic variational inference model Subject The topic of the resource Feature engineering; Feature engineering; Hierarchical dirichlet process; Latent dirichlet allocation; Latent semantic analysis; Sentiment analysis; Stochastic variational inference; Topic modeling; Vector space model Description An account of the resource Online ratings and customer feedback on hotel booking websites support the decision-making process of the customer as the reviews provide a deeper understanding about all aspects of a hotel. Consequently, review and rating analyses are of great interest to consumers and hotel owners for the hotel related social media services. The key challenge, however, is to make the wide variety of information accessible in a simple, fast and relevant way and the solution is Topic Modelling and Opinion Mining. Common approaches like Latent Semantic Analysis (LSA) and Hierarchical Dirichlet Process (HDP) have order affects. If the input dataset is shuffled then different topics are generated leading to misleading results. To overcome this, a two-stepped feature engineering process is used: first step is to use a TF-IDF with modified trigrams calculation followed by the second step in removing weak features from the corpus thereby reducing the dimensionality of the Vector Space Model (SVM) for efficient Topic Modeling and sentiment analysis of the considered corpus. Sentiment score is calculated using VADER tool and Topic Modeling is done with Batch Wise Latent Dirichlet Allocation (LDA) using Stochastic Variational Inference (SVI) model. The modified trigrams included calculation of probabilities of words not only in the backward direction but also the probability calculation of the next two words of the target word thereby retaining its context information. The proposed method using Batchwise LDA with SVI along with two-stepped feature engineering process considerably improved its performance when compared to LSA and HDP models due to the fact of identifying hidden and relevant topics in terms of their optimized posterior distribution in hotel reviews dataset. The Batchwise LDA with SVI improved its performance by 3% in terms of its coherence values by using two-stepped feature engineering process and by 9% and 4% increase when compared with LSA and HDP models respectively. 2020, Intelligent Network and Systems Society. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived International Journal of Intelligent Engineering and Systems, Vol-13, No. 4, pp. 333-345. Publisher An entity responsible for making the resource available Intelligent Network and Systems Society Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22266/IJIES2020.0831.29" target="_blank" rel="noreferrer noopener">https://doi.org/10.22266/IJIES2020.0831.29</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089491901&doi=10.22266%2FIJIES2020.0831.29&partnerID=40&md5=eb171c5da699c51d12106aedd99ea9d4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089491901&doi=10.22266%2fIJIES2020.0831.29&partnerID=40&md5=eb171c5da699c51d12106aedd99ea9d4</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 2185310X Format The file format, physical medium, or dimensions of the resource 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 Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Krishnan B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India 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 Identification of misconceptions about corona outbreak using trigrams and weighted TF-IDF model Subject The topic of the resource Coronavirus; Count Vectorizer; COVID-19; K-Nearest Neighbour; Logistic Regression; N-Grams; Nae Bayes; Random Forest; Support Vector Machine; TF-IDF Description An account of the resource Misconceptions of a particular issue like health, diseases, politics, government policies, epidemics and pandemics have been a social issue for a number of years, particularly after the advent of social media, and often spread faster than true truth. The engagement with social media like Twitter being one of the most prominent news outlets continuing is a major source of information today, particularly the information distributed around the network. In this paper, the efficacy of Misconception Detection System was tested on Corona Pandemic Dataset extracted from Twitter posts. A Trigram and a weighted TF-IDF Model followed by a supervised classifier were used for categorizing the dataset into two classes: one with misconceptions about COVID-19 virus and the other comprising correct and authenticated information. Trigrams were more reliable as the functional words related to coronavirus appeared more frequently in the corpus created. The proposed system using a combination of trigrams and weighted TF-IDF gave relevant and a normalized score leading to an efficient creation of vector space model and this has yielded good performance results when compared with traditional approaches using Bag of Words and Count Vectorizer technique where the vector space model was created only through word count. 2020, Institute of Advanced Scientific Research, Inc. All rights reserved. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived Journal of Advanced Research in Dynamical and Control Systems, Vol-12, No. 5 Special Issue, pp. 524-533. Publisher An entity responsible for making the resource available Institute of Advanced Scientific Research, Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.5373/JARDCS/V12SP5/20201788" target="_blank" rel="noreferrer noopener">https://doi.org/10.5373/JARDCS/V12SP5/20201788</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090681658&doi=10.5373%2FJARDCS%2FV12SP5%2F20201788&partnerID=40&md5=a1b09996ac6631dbadf79f79486f3628" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090681658&doi=10.5373%2fJARDCS%2fV12SP5%2f20201788&partnerID=40&md5=a1b09996ac6631dbadf79f79486f3628</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 1943023X Format The file format, physical medium, or dimensions of the resource 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 Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India; Krishnan B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Bangalore, India 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 Self-supervised learning based anomaly detection in online social media Subject The topic of the resource Behavioural anomalies; Classification algorithms; Clustering algorithms; Content anomalies; Demonetization; K-means; Logistic regression; Nae bayes; Online social media (OSM); Random forest; Self-supervised; Statistical approaches; Structural anomalies; Support vector machine; TextBlob; VADER Description An account of the resource Online Social Media (OSM) produce enormous data related to the human behaviours based on their interactions. One such data is the opinions expressed and posted for any specific issue addressed in the OSM. Majority of the opinions posted would be categorized as positive, negative and neutral. The lighter group's opinions are termed anomalous as it is not conforming the regular opinions posted by other users. Though, lot of conventional classification and clustering based learning algorithms works well under supervised and un-supervised environment, due to the inherent ambiguity in the tweeted data, anomaly detection poses a bigger challenge in text mining. Though the data is un-supervised, for the learning purpose it is treated as Supervised Learning by assigning class labels for the training data. This paper attempts to give an insight into various anomalies of OSM and identify behavioural anomalies for a Twitter Dataset on user's opinions on demonetization policy in India. Through Self-Supervised learning, it is observed that 86% of the user's opinions did agree to the demonetization policy and the remaining have posted negative opinions for the policy implemented. 2020, Intelligent Network and Systems Society. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived International Journal of Intelligent Engineering and Systems, Vol-13, No. 3, pp. 446-456. Publisher An entity responsible for making the resource available Intelligent Network and Systems Society Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22266/IJIES2020.0630.40" target="_blank" rel="noreferrer noopener">https://doi.org/10.22266/IJIES2020.0630.40</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087074036&doi=10.22266%2FIJIES2020.0630.40&partnerID=40&md5=158c71779aa75d1793d4f3d31f49b6d2" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85087074036&doi=10.22266%2fIJIES2020.0630.40&partnerID=40&md5=158c71779aa75d1793d4f3d31f49b6d2</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 2185310X Format The file format, physical medium, or dimensions of the resource 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 Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India; Krishnan B., Department of Computer Science and Engineering, School of Engineering and Technology, Christ (Deemed to be University), Bangalore, India 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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 A comparative study of text mining algorithms for anomaly detection in online social networks Subject The topic of the resource Anomaly detection; Decision trees; Entropy and Euclidean distance; Gini index; K-Nearest neighbour (KNN) and Support Vector Machine (SVM); Kernel function; Rocchio algorithm; Social media Description An account of the resource Text mining is a process by which information and patterns are extracted from textual data. Online Social Networks, which have attracted immense attention in recent years, produces enormous text data related to the human behaviours based on their interactions with each other. This data is intrinsically unstructured and ambiguous in nature. The data involves incorrect spellings and inaccurate grammars leading to lexical, syntactic and semantic ambiguities. This causes wrong analysis and inappropriate pattern identification. Various Text Mining approaches are being used by researchers which can help in Anomaly Detection through Topic Modeling, identification of Trending Topics, Hate Speeches and evolution of the communities in Online Social Networks. In this paper, a comparative analysis of the performance of four classification algorithms, Support Vector Machine (SVM), Rocchio, Decision Trees and K-Nearest Neighbour (KNN) for a Twitter data set is presented. The experimental study revealed that SVM outperforms better than other classifiers, and also classifies the dataset into anomalous and non-anomalous users opinions. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-132, pp. 29-37. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-15-5309-7_4" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-5309-7_4</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090369987&doi=10.1007%2F978-981-15-5309-7_4&partnerID=40&md5=832032cda9a14a0f1b467866b8cb5734" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090369987&doi=10.1007%2f978-981-15-5309-7_4&partnerID=40&md5=832032cda9a14a0f1b467866b8cb5734</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kokatnoor S.A., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India; Krishnan B., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bangalore, 560074, India 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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Adaptive artificial bee colony (aabc)-based malignancy pre-diagnosis Subject The topic of the resource Adaptive artificial bee colony; Feed-forward back-propagation neural network; Risk factor and symptoms and modification rate Description An account of the resource Lung cancer is one of the leading causes of death. The survival rate of the patients diagnosed with lung cancer depends on the stage of the detection and the timely prognosis. Hence, early detection of anomalous malignant cells is needed for pre-diagnosis of lung cancer as it plays a major role in the prognosis and treatment. In this work, an innovative pre-diagnosis approach is suggested, wherein the size of the dataset comprising risk factors and symptoms is considerably decreased and optimized by means of an Adaptive Artificial Bee Colony (AABC) algorithm. Subsequently, the optimized dataset is fed to the Feed-Forward Back-Propagation Neural Network (FFBNN) to perform the training task. For the testing, supplementary data is furnished to well-guided FFBNN-AABC to authenticate whether the supplied investigational data is competent to effectively forecast the lung disorder or not. The results obtained show a considerable improvement in the classification performance compared to other approaches like Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived Lecture Notes in Networks and Systems, Vol-132, pp. 149-157. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-15-5309-7_15" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-5309-7_15</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090372979&doi=10.1007%2F978-981-15-5309-7_15&partnerID=40&md5=d507f04568db1956a97bf2305991bfea" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85090372979&doi=10.1007%2f978-981-15-5309-7_15&partnerID=40&md5=d507f04568db1956a97bf2305991bfea</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23673370 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, 560074, India; Krishnan B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, 560074, India 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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Twitter Hate Speech Detection using Stacked Weighted Ensemble (SWE) Model Subject The topic of the resource Anomaly Detection; Ensemble Classification; Hard Voting and Soft Voting; Hate Speech; Linear Regression Model; Nae Bayes; Random Forest; Social Networking Services; Tweet Classification; Tweet Filtering Description An account of the resource Online Social Media has expanded the freedom of expression in the internet, which has become a disturbing problem if it has an impact on the situation or the interest of a country. Hate speech refers to the use of hostile, abusive or offensive language, directed at a certain group of people who share common property, whether it is their gender, ethnicity or race (i.e. racism), faith and religion. Therefore, auto detection of hate speeches has an increased importance in Online Social Media for filtering any message that has hatred language before posting it to the network. In this paper, a Stacked Weighted Ensemble (SWE) model is proposed for the detection of hate speeches. The model ensembles five standalone classifiers: Linear Regression, Nae Bayes', Random Forest, Hard Voting and Soft Voting. The experimental results on a Twitter dataset has shown an accuracy of 95.54% in binary classification of tweets into hateful speech and an improved performance is noted compared to the standalone classifiers. 2020 IEEE. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Krishnan B. Source A related resource from which the described resource is derived Proceedings - 2020 5th International Conference on Research in Computational Intelligence and Communication Networks, ICRCICN 2020, pp. 87-92. Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ICRCICN50933.2020.9296199" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ICRCICN50933.2020.9296199</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099174302&doi=10.1109%2FICRCICN50933.2020.9296199&partnerID=40&md5=b15f7285ec5202571b2d033e37fd1ef1" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85099174302&doi=10.1109%2fICRCICN50933.2020.9296199&partnerID=40&md5=b15f7285ec5202571b2d033e37fd1ef1</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISBN: 978-172818818-8 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kokatnoor S.A., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India; Krishnan B., CHRIST (Deemed to Be University), Department of Computer Science and Engineering, Bangalore, India 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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Deducing Water Quality Index (WQI) by Comparative Supervised Machine Learning Regression Techniques for India Region Subject The topic of the resource Biological oxygen demand; Dissolved oxygen; Machine learning; Regression; Supervised; Water Quality Index Description An account of the resource Water quality is of paramount importance for the wellbeing of the society at large. It plays avery important role in maintaining the health of the living being. Several attributes like biological oxygen demand (BOD), power of hydrogen (pH), dissolved oxygen (DO) content, nitrate content (NC) and so on help to identify the appropriateness of the water to be used for different purposes. In this research study, the focus is to deduce the Water Quality Index (WQI) by means of artificial intelligence (AI)-based machine learning (ML) models. Six parameters, namely BOD, DO, pH, NC, total coliform (CO) and electrical conductivity (EC) are used to measure, analyze and predict WQI using nine supervised regression machine learning techniques. Bayesian Ridge regression (BRR) and automatic relevance determination regression (ARD regression) yielded a low mean squared error (MSE) value when compared to other regression techniques. ARD regression model parameters as independent a priori so that non-zero coefficients do not exploit vectors that are not just sparse, but they are dependent. In the estimation process, BRR contains regularization parameters; regularization parameters are not set hard but are adjusted to the relevant data. Due to these reasons, ARD regression and BRR models performed better. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Kokatnoor S.A.; Reddy V.; Balachandran K. Source A related resource from which the described resource is derived Lecture Notes on Data Engineering and Communications Technologies, Vol-114, pp. 727-742. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-9416-5_54" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-9416-5_54</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133700510&doi=10.1007%2F978-981-16-9416-5_54&partnerID=40&md5=9a51942feb217485997895b60710f011" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85133700510&doi=10.1007%2f978-981-16-9416-5_54&partnerID=40&md5=9a51942feb217485997895b60710f011</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23674512 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Reddy V., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, India; Balachandran K., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, Bangalore, India https://archives.christuniversity.in/files/original/16b89e8a012176d5ba9cc6a2dab70039.jpg 50602cd07b75ffd6ed0408990f648803 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 A facile, green synthesis of carbon quantum dots from Polyalthia longifolia and its application for the selective detection of cadmium / Subject The topic of the resource Chemistry Description An account of the resource Dyes and Pigments, Vol.210, ISSN No: 0143-7208. Carbon quantum dots (CQDs) has received world-wide recognition for their outstanding physicochemical properties that have the ability to substitute the semiconductor quantum dots. Herein, we have developed a strategy to determine the presence of Cd2+ using CQDs as a fluorescence probe. The CQDs were synthesized from the leaves of Polyalthia longifolia (a natural source) through a one-step hydrothermal method. The CQDs obtained from Polyalthia longifolia (p-CQDs) was characterized using XRD, TEM, FTIR, Raman Spectroscopy, XPS Studies, UV–Visible spectroscopy and PL Spectroscopy. The p-CQDs displayed bright red fluorescence under the UV light, with good water solubility, and appreciable photostability and a quantum yield of 22%. The p-CQDs had a quasi-spherical morphology with an average particle size of 3.33 nm. Creator An entity primarily responsible for making the resource Kolaprath, Mrinalini Kalyani Ayilliath., Benny, Libina., Varghese Anitha. Source A related resource from which the described resource is derived <a href="https://www.sciencedirect.com/science/article/abs/pii/S0143720822009706" target="_blank" title="A facile, green synthesis of carbon quantum dots from Polyalthia longifolia and its application for the selective detection of cadmium" rel="noreferrer noopener">https://www.sciencedirect.com/science/article/abs/pii/S0143720822009706</a> Publisher An entity responsible for making the resource available ScienceDirect Date A point or period of time associated with an event in the lifecycle of the resource 2022-05-10 Language A language of the resource English Type The nature or genre of the resource Research Publication 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 Book Chapter Book Chapter Faculty Publications- Book Chapter 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 Idealised Bilinear Moment-Curvature Curves of Reinforced Masonry (RM) Walls Description An account of the resource In this paper, an analytical investigation of the axial loadflexural strength interaction of reinforced masonry walls is carried. The curvature ductility of masonry walls is evaluated for walls with different modes of reinforcement configurations under different levels of axial loads. An analytical expression for evaluating the curvature ductility of masonry walls at varying axial loads is proposed in this paper. Value of curvature ductility obtained from the proposed expression is compared with existing methods. Results indicate the proposed model can be used to determine the ductility of reinforced masonry walls. 2020, Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Kollerathu J.A. Source A related resource from which the described resource is derived Lecture Notes in Civil Engineering, Vol-74, pp. 99-110. Publisher An entity responsible for making the resource available Springer Date A point or period of time associated with an event in the lifecycle of the resource 2020-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-15-4079-0_9" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-15-4079-0_9</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085165713&doi=10.1007%2F978-981-15-4079-0_9&partnerID=40&md5=bdcfddb594c1898877f609bf11631c2d" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085165713&doi=10.1007%2f978-981-15-4079-0_9&partnerID=40&md5=bdcfddb594c1898877f609bf11631c2d</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23662557 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Book chapter Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kollerathu J.A., Department of Civil Engineering, Faculty of Engineering, Christ (Deemed to Be University), Bengaluru, India 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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Curvature Ductility of Reinforced Masonry Walls and Reinforced Concrete Walls Subject The topic of the resource Curvature ductility; Reinforced concrete walls; Reinforced masonry walls Description An account of the resource Research conducted in this work proposes an equation to evaluate and compares the curvature ductility of reinforced masonry (RM) and reinforced concrete (RC) walls. The curvature ductilities are measured at varying levels of axial stresses for walls for aspect ratio (l/h) of 0.5, 1.0 and 1.5. The percentage of reinforcement is increased from 0.25% (minimum reinforcement for RC walls as per IS-13920) to 1.00%. The curvature ductilities are evaluated by plotting flexural strength (M) versus curvature (?) for the walls. The stressstrain curves of masonry, concrete and reinforcing steel are all adopted from existing literature. The compressive strength of masonry and concrete has been chosen as 10MPa and 25MPa, respectively. The yield strength of the steel is fixed as 415MPa. The height and thickness of the wall are 3000 and 230mm, respectively, and the length of the wall is varied to obtain different aspect ratios. Results obtained from this paper imply due to increase curvature ductility, RM walls provide a better alternative for the construction of structural walls compared to RC walls in regions of significant seismicity. 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. Creator An entity primarily responsible for making the resource Kollerathu J.A. Source A related resource from which the described resource is derived Lecture Notes in Civil Engineering, Vol-162, pp. 9-23. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-981-16-2826-9_2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-981-16-2826-9_2</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115232182&doi=10.1007%2F978-981-16-2826-9_2&partnerID=40&md5=d373d676c92dd5633914d1d417e18e7a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115232182&doi=10.1007%2f978-981-16-2826-9_2&partnerID=40&md5=d373d676c92dd5633914d1d417e18e7a</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23662557; ISBN: 978-981162825-2 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kollerathu J.A., Civil Engineering Department, CHRIST (Deemed to be University), Bengaluru, Karnataka, India 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 Conference Papers Conference Paper Faculty Publications- Conference Papers 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 Lateral Load Behavior of Unreinforced Masonry Spandrels Subject The topic of the resource Lateral load behavior; Spandrel; Storey-shear mechanism Description An account of the resource Spandrels, are usually classified as secondary elements and even though their behaviour has not received adequate focus unlike piers, they significantly affect the seismic capacity of the structure. Masonry spandrels are often damaged and the first structural components that crack within Unreinforced Masonry structures. Despite this, existing analytical methods typically consider a limit case in which the strength of spandrels is either neglected, considered to be infinitely rigid and strong or treated as rotated piers. It is clearly evident that such an assumption is not plausible. Hence, reliable predictive strength models are required. This thesis attempts to re-examine the flexural behaviour of spandrels and proposes an analytical model. The model is based on the interlocking phenomena of the joints at the end-sections of the spandrel and the contiguous masonry. The proposed analytical model is incorporated within a simplified approach to account for the influence of spandrel response on global capacity estimate of URM buildings. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG. Creator An entity primarily responsible for making the resource Kollerathu J.A.; Menon A. Source A related resource from which the described resource is derived Lecture Notes in Civil Engineering, Vol-171, pp. 589-597. Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Date A point or period of time associated with an event in the lifecycle of the resource 2022-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-030-80312-4_49" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-030-80312-4_49</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115249461&doi=10.1007%2F978-3-030-80312-4_49&partnerID=40&md5=e1a0019d9266031423b7bf4a4e925dcd" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115249461&doi=10.1007%2f978-3-030-80312-4_49&partnerID=40&md5=e1a0019d9266031423b7bf4a4e925dcd</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23662557; ISBN: 978-303080311-7 Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Conference paper Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Kollerathu J.A., CHRIST (Deemed To Be University), Bengaluru, Karnataka, 560060, India; Menon A., Indian Institute of Technology Madras, Chennai, Tamil Nadu, 600036, India 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 Investigation of corrosion behavior of Cenosphere reinforced iron based composite coatings Subject The topic of the resource Cenosphere; Corrosion; FeCrNiC; Plasma spray caotings; T22 Description An account of the resource In the present study cenopshere was reinforced with FeCrNiC (Metco 42C) as matrix material and prepared four different feedstock powders such as FeCrNiC+0%Cenosphere, FeCrNiC+5%Cenosphere, FeCrNiC+10%Cenosphere and FeCrNiC+15%Cenosphere were coated by plasma spray technique on T22 substrate. Evaluation of the substrate and coatings potential under salt spray test was performed. Dense fog of 5% NaCl salt water was used to create a corrosive atmosphere within the chamber. The salt water's pH was kept constant at 6.57. The materials that underwent corrosion were examined using X-ray diffraction (XRD), and scanning electron microscopy (SEM). The FeCrNiC+15%Cenosphere and FeCrNiC+10%Cenosphere coatings exhibited reduced weight loss during a 168-h corrosion test compared to the FeCrNiC+5%Cenosphere, FeCrNiC coatings, and substrate. The excellent chemical stability and corrosion resistance of Cr23C6, SiO2, NiO, and Cr2O particles contribute to gradually avoid the formation of red rust on Fe-based coated samples with exposure approaches to 52 and 130 h. 2024 The Authors Creator An entity primarily responsible for making the resource Kollur S.; S S.; Surendra J.; Kumar G.S.P.; Suresh Kumar R.; Prasad C.D.; Kumar B K P.; Kore S.; M N. Source A related resource from which the described resource is derived Results in Surfaces and Interfaces, Vol-17 Publisher An entity responsible for making the resource available Elsevier B.V. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1016/j.rsurfi.2024.100300" target="_blank" rel="noreferrer noopener">https://doi.org/10.1016/j.rsurfi.2024.100300</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203641440&doi=10.1016%2Fj.rsurfi.2024.100300&partnerID=40&md5=7df994c856998033330caf9cc18be6c5" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203641440&doi=10.1016%2fj.rsurfi.2024.100300&partnerID=40&md5=7df994c856998033330caf9cc18be6c5</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 26668459 Format The file format, physical medium, or dimensions of the resource 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 Kollur S., Department of Mechanical Engineering, RV Institute of Technology and Management, Karnataka, Bengaluru, 560076, India; S S., Department of Mechanical Engineering. New Horizon College of Engineering, Bengaluru, 560103, India; Surendra J., Department of Mechanical Engineering, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, India; Kumar G.S.P., Department of Mechanical and Automobile Engineering. CHRIST University, Bengaluru, 560074, India; Suresh Kumar R., Department of Mechanical Engineering, BMS College of Engineering, Karnataka, Bengaluru, India; Prasad C.D., Department of Mechanical Engineering, RV Institute of Technology and Management, Karnataka, Bengaluru, 560076, India; Kumar B K P., Department of Mechanical Engineering, Ballari Institute of Technology and Management, Ballari, Karnataka, India; Kore S., Department of Mechanical Engineering, Vishwakarma Institute of Technology, Maharashtra, Pune, 411037, India; M N., Department of Mechatronics Engineering, AMC Engineering College, Karnataka, Bengaluru, India 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 Sibling Bereavement Among Young Indian Adults Subject The topic of the resource bereavement; continuing bonds; familial roles; grief; India; qualitative study; sibling loss; societal impact; support systems Description An account of the resource This qualitative study explores the bereavement experiences of 12 surviving siblings in India, focusing on familial, societal, and cultural influences. Six themes emerged: The Demanding Familial Role, Isolation That Accompanies the Grief, Damaging Impact of Society, Positive Role of Friends and Family, Support Systems, and Continuing Bonds. Participants often felt the burden of supporting their parents, leading to personal grief suppression and isolation, exacerbated by societal stigmas. Conversely, empathetic friends, supportive extended family, and professional resources like therapy provided crucial coping mechanisms. Continuing bonds with the deceased offered comfort and connection. The study highlights the need for comprehensive support systems tailored to cultural and societal contexts. It emphasizes the importance of public awareness and education to foster a supportive response to bereavement. Further research with larger, more diverse samples is recommended. The Author(s) 2024. Creator An entity primarily responsible for making the resource Kolte A.; Mohan M.P. Source A related resource from which the described resource is derived Omega (United States) Publisher An entity responsible for making the resource available SAGE Publications Inc. Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1177/00302228241284926" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/00302228241284926</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204235304&doi=10.1177%2F00302228241284926&partnerID=40&md5=e3e3e586562affe56b9c1125b128d19b" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85204235304&doi=10.1177%2f00302228241284926&partnerID=40&md5=e3e3e586562affe56b9c1125b128d19b</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 302228 Format The file format, physical medium, or dimensions of the resource 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 Kolte A., Department of Psychology, Christ (Deemed to be) University, Bengaluru, India; Mohan M.P., Department of Psychology, Christ (Deemed to be) University, Bengaluru, India 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 The complexities of home and belonging in the Gulf-Malayalee experience: a close reading of Salim Ahameds Pathemari (2015) Subject The topic of the resource belonging; Gulf Malayalee; Home; Indian diaspora; return migration; reverse migration Description An account of the resource This paper explores the interaction between home, belonging, and migration by closely reading Salim Ahameds 2015 Malayalam film, Pathemari. The paper briefly traces migration history from Kerala to the Gulf and its impact on Keralas housing boom, influencing its socioeconomic and cultural landscape. Through this, the paper examines how Gulf Malayalees navigate the multifaceted and contested concept of home despite being physically and emotionally displacedthe paradox of belonging and unbelonging, in their attempts to secure a material home while working as blue-collared Malayalee migrants in the Gulf. 2024 Informa UK Limited, trading as Taylor & Francis Group. Creator An entity primarily responsible for making the resource Komban A.P.; Nayar CV A. Source A related resource from which the described resource is derived Continuum Publisher An entity responsible for making the resource available Routledge Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/10304312.2024.2445311" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/10304312.2024.2445311</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212950787&doi=10.1080%2F10304312.2024.2445311&partnerID=40&md5=3874a77f5365a1d6bf583af360eaa42c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85212950787&doi=10.1080%2f10304312.2024.2445311&partnerID=40&md5=3874a77f5365a1d6bf583af360eaa42c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 10304312 Format The file format, physical medium, or dimensions of the resource 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 Komban A.P., Department of English and Cultural Studies, Christ University, Bangalore, India; Nayar CV A., Department of English and Cultural Studies, Christ University, Bangalore, India 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 Diverse Morphologies of Nb2O5 Nanomaterials: A Comparative Study for the Growth Optimization of Elongated Spiky Nb2O5 and Carbon Nanosphere Composite Subject The topic of the resource carbon composite; elongated spiky sea urchins; flakes; Morphologies; Nb2O5; sheets Description An account of the resource Controlled synthesis and design of nanomaterials with intricate morphologies and active phases offer new prospects in harnessing their unique chemical and physical properties for various applications. Herein, a facile and efficient hydrothermal approach is reported for obtaining various complex Nb2O5 nanostructures, including thin sheets, thick flakes, spiky and elongated spiky sea urchin morphologies using urotropin as a growth-directing and hydrolyzing agent in various mixed and pure solvents. The detailed structural and chemical composition, surface morphology and crystallinity of as-synthesized Nb2O5 nanostructures are presented. The urotropin concentration, reaction time, and water-ethanol solvent mixture play a critical role for obtaining the elongated spiky sea urchin morphologies. The spiky Nb2O5 structures show a pseudohexagonal phase with less urotropin content, while thin sheets are obtained with a higher urotropin concentration and are primarily amorphous. These structures undergo transformation in their crystal phase and morphologies during calcination at higher temperatures revealing the active role of urotropin in stabilizing them. A composite of spiky sea urchin Nb2O5-carbon nanospheres (suNb2O5-CNS) is achieved by in-situ growth of Nb2O5 in the presence of CNS without compromising on morphology, phase, and crystallinity. suNb2O5-CNS composite is shown to possess higher charge storage capacity compared to its constituents for supercapacitor applications. 2023 Wiley-VCH GmbH. Creator An entity primarily responsible for making the resource Kommula B.; Prabhu B R.; Kopperi H.; Bhat V.S.; Hegde G.; John N.S. Source A related resource from which the described resource is derived Particle and Particle Systems Characterization, Vol-41, No. 3 Publisher An entity responsible for making the resource available John Wiley and Sons Inc Date A point or period of time associated with an event in the lifecycle of the resource 2024-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1002/ppsc.202300118" target="_blank" rel="noreferrer noopener">https://doi.org/10.1002/ppsc.202300118</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174692104&doi=10.1002%2Fppsc.202300118&partnerID=40&md5=1b54841f2bac3da59cd90c7632f5713e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174692104&doi=10.1002%2fppsc.202300118&partnerID=40&md5=1b54841f2bac3da59cd90c7632f5713e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9340866; CODEN: PPCHE Format The file format, physical medium, or dimensions of the resource 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 Kommula B., Centre for Nano and Soft Matter Sciences (CeNS), Shivanapura, Bengaluru, 562162, India; Prabhu B R., Centre for Nano and Soft Matter Sciences (CeNS), Shivanapura, Bengaluru, 562162, India, Prayoga Institute of Education Research, Kanakapura Road, Bengaluru, 560082, India; Kopperi H., Centre for Nano and Soft Matter Sciences (CeNS), Shivanapura, Bengaluru, 562162, India; Bhat V.S., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India; Hegde G., Centre for Advanced Research and Development (CARD), CHRIST (Deemed to be University), Bangalore, 560029, India; John N.S., Centre for Nano and Soft Matter Sciences (CeNS), Shivanapura, Bengaluru, 562162, India