308 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 Reimagining Future of Future by redesigning Talent Strategy in the Age of Distraction and Disruption Subject The topic of the resource Diversity; Local leader; Mental Health Support; Remote Work; Talent strategy; Transparency Description An account of the resource The coronavirus 2019 (COVID-19) pandemic promoted the development of Industry 4.0 leading to the fifth industrial revolution (Industry 5.0). It brought in new ways of working and the role of the office in the future. It redesigned the workplace to support organizational priorities and resize the footprint creatively. Digitalization and globalization have sparked radical shifts in how employees live and work. In an age of digital disruption, companies and HR leaders are forced to revise organizational on how they organize, recruit, develop, manage and engage the 21st-century workforce. The big questions are: how can HR help business leaders reconstruct the workforce of the future? What effort has the company take to change future work and their workforce today so that it looks different 15 years later? Organizational agility, careers and learning disruption, talent disruption, rethinking performance management and people analytics in addition to creating the right structure, analysis, and standardized people metrics are the key to success and critical drivers to design talent strategy. This study aims to identify the magic ingredient (or strategies) behind managing an organization's talent in creating business success. We further examined and mathematically modelled these strategies in attracting and retaining high-quality employees, developing their skills, and continuously motivating them to improve their performance in the age of distraction and disruption. 354 employees from IT companies participated in the survey. The findings of the study show, as expected, that a compelling employer brand is the most effective talent management strategy of all when it combines three key drivers: organizational culture, organization goodwill and competition for talent. Gender was statistically, significantly and positively associated with the imperatives to reset the future of work agenda. 2021. All Rights Reserved. Creator An entity primarily responsible for making the resource Sivarethinamohan R.; Kavitha D.; Koshy E.R.; Toms B. Source A related resource from which the described resource is derived International Journal of Systematic Innovation, Vol-6, No. 4, pp. 33-45. Publisher An entity responsible for making the resource available Society of Sytematic Innovation 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/10.6977/IJoSI.202106_6(4).0003" target="_blank" rel="noreferrer noopener">https://doi.org/10.6977/IJoSI.202106_6(4).0003</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112849911&doi=10.6977%2FIJoSI.202106_6%284%29.0003&partnerID=40&md5=87a4435ffdfe56f2779d6fb575021379" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112849911&doi=10.6977%2fIJoSI.202106_6%284%29.0003&partnerID=40&md5=87a4435ffdfe56f2779d6fb575021379</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 20777973 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 Sivarethinamohan R., Department of Professional Studies, CHRIST (Deemed to be University), Bengaluru, India; Kavitha D., Department of Professional Studies, CHRIST (Deemed to be University), Bengaluru, India; Koshy E.R., Department of Professional Studies, CHRIST (Deemed to be University), Bengaluru, India; Toms B., Department of Professional Studies, 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 Dissecting the Dichotomy of Skill and Social Justice Theory of Law School Legal Aid Clinics in the USA and India: A Re-look of the Past and the Present Description An account of the resource With the mushrooming of legal aid clinics across institutions imparting legal education, there exists a conundrum as to their actual objectives. With passage of time, social justice theory is losing ground and skill development theory has gained greater predominance. In order to understand the objectives behind establishing legal aid clinics, the article traces its inter-linkages with the theory of social justice. In doing so, an analysis of the context under which legal aid clinics were established and their relevance to the present day is explored through the article. With the passage of 22 years of establishment of law school legal aid clinics in India, there still exists a dichotomy as to their real purpose and objective. These models of legal aid clinics of the past not only offer insights to develop present models of legal aid clinics, but there is also a need to emulate these models as they are relevant and apt even to this day. The article adapts a comparative approach between India and the USA, chronicling the past and present sojourns of the journey of law school legal aid clinics and the suitability of the social justice theory to the current Indian context. 2021 The West Bengal National University of Juridical Sciences. Creator An entity primarily responsible for making the resource Rajashree K. Source A related resource from which the described resource is derived Asian Journal of Legal Education, Vol-8, No. 1, pp. 79-94. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1177/2322005820982064" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/2322005820982064</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115025924&doi=10.1177%2F2322005820982064&partnerID=40&md5=76527bf4882f068179ae7ce3638fd5bb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115025924&doi=10.1177%2f2322005820982064&partnerID=40&md5=76527bf4882f068179ae7ce3638fd5bb</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23220058 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 Rajashree K., School of Law, 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 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 Entropy generation analysis of radiative Williamson fluid flow in an inclined microchannel with multiple slip and convective heating boundary effects Subject The topic of the resource Bejan number; convective boundary condition; entropy generation; finite element method; inclined microchannel; multiple slip; non-Newtonian Williamson fluid Description An account of the resource The main theme of the current work is to investigate the flow and heat transport characteristics of non-Newtonian Williamson fluid in an inclined micro-channel along with entropy generation analysis. The significance of the thermal radiation, convective boundary condition, and multiple slip effects is explored. The entropy generation of the system has been analyzed by adopting the 2nd law of thermodynamics. The rheological expressions of the Williamson fluid model are also taken into account. The nonlinear system is tackled by using the finite element method. An appropriate comparison has been made with previously published results in the literature as a limiting case of the considered problem. The comparison confirmed an excellent agreement. Detailed discussion of the significance of effective parameters on Bejan number, entropy generation rate, temperature and velocity is presented through graphs. The numerical results portray that the entropy generation and Bejan number have escalating behavior to the higher value of angle of inclination. Furthermore, the Bejan number changing its behavior at two points for different values of Reynolds number. IMechE 2021. Creator An entity primarily responsible for making the resource Shashikumar N.S.; Thriveni K.; Madhu M.; Mahanthesh B.; Gireesha B.J.; Kishan N. Source A related resource from which the described resource is derived Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering Publisher An entity responsible for making the resource available SAGE Publications Ltd 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/10.1177/09544089211049863" target="_blank" rel="noreferrer noopener">https://doi.org/10.1177/09544089211049863</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117332142&doi=10.1177%2F09544089211049863&partnerID=40&md5=9d67709adeac5ddc3d35067a158b77a6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117332142&doi=10.1177%2f09544089211049863&partnerID=40&md5=9d67709adeac5ddc3d35067a158b77a6</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9544089; CODEN: PMEEE 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 Shashikumar N.S., Department of Mathematics, Malnad College of Engineering, India; Thriveni K., Department of Mathematics, CHRIST (Deemed to be University), India; Madhu M., Department of Mathematics, Kuvempu University, India; Mahanthesh B., Department of Mathematics, CHRIST (Deemed to be University), India; Gireesha B.J., Department of Mathematics, Kuvempu University, India; Kishan N., Department of Mathematics, Osmania University, 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 Strategic Review on Use of Polyhydroxyalkanoates as an Immunostimulant in Aquaculture Subject The topic of the resource Agricultural waste; Anti-biofilm activity; Aquaculture; Aquafeed additive; Immunostimulant; Polyhydroxyalkanoates Description An account of the resource Background and Objective: Increasing concerns over the use of antibiotics in aquaculture have emerged researchers to focus on short chain fatty acids and other biocompatible molecules as alternatives for disease prophylaxis and treatment. Polyhydroxyalkanoates well studied as biopolymeric materials for using in packaging and biomedicine were not focused much for their abilities to act as antimicrobial agents in aquaculture until recent years. Application studies of polyhydroxyalkanoates as aquafeed additives have highlighted their promising roles as ecofriendly alternatives for commercial antibiotics with strong immunomodulatory effects in fish-es and shrimps. The major aim of this review was to explore up-to-date scientific research studies on use of polyhydroxyalkanoates as aquafeed additives and their immunomodulatory effects. Results and Conclusion: Up-to-date, limited scientific literatures have been published on the use of polyhydroxyalkanoates and their copolymers as alternatives to antibiotics in aquaculture. This research field includes a great scope of development due to the promising immu-nomodulatory and antimicrobial activity of polyhydroxyalkanoates against common pathogens in aquaculture, as reported in literatures. Although several hypothesis and research data for explaining the mechanisms behind their immunostimulatory effects were suggested by various researchers, genetic and molecular bases underlying these phenomena are yet to be explored. Further research and development in this area can introduce these biopolymers as the most promising eco-friendly alternatives for antibiotics in aquaculture. Conflict of interest: The authors declare no conflict of interest. 2021. All Rights Reserved. Creator An entity primarily responsible for making the resource Santhosh A.S.; Umesh M. Source A related resource from which the described resource is derived Applied Food Biotechnology, Vol-8, No. 1, pp. 1-18. Publisher An entity responsible for making the resource available National Nutrition and Food Technology Research Institute 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/10.22037/afb.v8i1.31255" target="_blank" rel="noreferrer noopener">https://doi.org/10.22037/afb.v8i1.31255</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115107342&doi=10.22037%2Fafb.v8i1.31255&partnerID=40&md5=c567bbadba14837d18fb352a1de2db85" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115107342&doi=10.22037%2fafb.v8i1.31255&partnerID=40&md5=c567bbadba14837d18fb352a1de2db85</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23455357 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 Santhosh A.S., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 560029, Karnataka, India; Umesh M., Department of Life Sciences, CHRIST (Deemed to be University), Hosur Road, Bengaluru, 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 Effect of Organizational Culture during Crises on adoption of virtual classrooms: An extension of UTAUT model Subject The topic of the resource COVID; Higher Education; Organizational Culture during Crises (OCC); Pandemic; SEM; Teaching; Technology Adoption; UTAUT; Virtual Classroom Description An account of the resource This study aims to understand the impact of organizational culture in the context of obligatory adoption of a virtual classroom (VC) during the COVID pandemic. The academic crisis created by the pandemic resulted in obligatory adoption of VCs, without being mandated by top management. Organizational culture was tested by this crisis, and thus created a unique opportunity to examine adoption. This research examines Organizational Culture during Crises (OCC) as an antecedent to the Unified Theory of Acceptance and Use of Technology (UTAUT) model to evaluate the factors that determine the intention to adopt a virtual classroom across multiple disciplines by the faculty of a reputed Indian university. Data collected from a sample of 353 respondents was analyzed to test the research model using Structural Equation Modeling (SEM). The findings of the study reveal that OCC plays a positive and significant role in determining the intention of faculties to adopt a virtual classroom. We also found that OCC also significantly influences performance expectancy, effort expectancy, facilitating conditions and social influence. The results imply proper framing of policies by top management of Higher Education Institutions (HEI) for the smooth adoption of virtual classrooms by faculty when confronted by crises. 2021 The Author(s). Published with license by Taylor & Francis Group, LLC. Creator An entity primarily responsible for making the resource Mahara T.; Iyer L.S.; Matta V.; Alagarsamy S. Source A related resource from which the described resource is derived Journal of Information Technology Case and Application Research, Vol-23, No. 3, pp. 213-239. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/15228053.2021.1965818" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/15228053.2021.1965818</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113366288&doi=10.1080%2F15228053.2021.1965818&partnerID=40&md5=8df07b6c3d5eea8b43c161899cb5ec12" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113366288&doi=10.1080%2f15228053.2021.1965818&partnerID=40&md5=8df07b6c3d5eea8b43c161899cb5ec12</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 15228053 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 Mahara T., Christ University, Bangalore, India; Iyer L.S., Christ University, Bangalore, India; Matta V., Ohio University, Athens, United States; Alagarsamy S., 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 Accident prevention system using real time embedded technology Subject The topic of the resource Alcohol sensor; ATmega330P controller; Eye sensor; GPS; GSM; RF transmitter; Smoke sensor Description An account of the resource Two different aspects are presented in the proposed system: a transmitter and a recipient. The velocity boundary is controlled immediately after entering the emitter area by receiving a signal from the RF transmitter. A few meters even before the area, the significantly impacted might be put for this purpose. The surveillance program contains an alcoholic detector, an eye detector, and a smoke detector. GPS and GSM for the detection of incidents on mobile phones. The electromechanical device monitors the information as a consequence of the impact by transmitting it to the microprocessor ATmega330Q. GPS of your smart telephone will then communicate with both the satellite to acquire latitude and longitudinal data as well as the incident names will be transmitted to the families, fire departments, etc. which are already defined. 2021, SciTechnol, All Rights Reserved. Creator An entity primarily responsible for making the resource Neelamegam D.; Dhane M.M.; Venkatarami Reddy D.; Vinay M.; Selvakanmani S.; Walia R. Source A related resource from which the described resource is derived Journal of Nuclear Energy Science and Power Generation Technology, Vol-10, No. 9 Publisher An entity responsible for making the resource available SciTechnol 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118323654&partnerID=40&md5=e21d21cce99bcc8ab37b8b2f29116e14" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118323654&partnerID=40&md5=e21d21cce99bcc8ab37b8b2f29116e14</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 23259809 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 Neelamegam D., Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, India; Dhane M.M., Department of Mathematics, Government First Grade College, Yelahanka, Bengaluru, India; Venkatarami Reddy D., Department of Electronics and Communication Engineering, Gate Institute of Technology and Sciences, Ramapuram, Chilukuru, Suryapet, Telangana, India; Vinay M., Department of Computer Science, Christ (Deemed to be University), Bangalore-Karnataka, India; Selvakanmani S., Department of Computer Science and Engineering, Velammal Institute of Technology, Velammal Knowledge Park, Chennai, India; Walia R., Department of Electrical Engineering, Model Institute of Engineering and Technology, Jammu, 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 Deep Learning for Stock Market Index Price Movement Forecasting Using Improved Technical Analysis Subject The topic of the resource Deep learning method; Ease of movement; Gated recurrent unit; Market forecasting; Relative volatility index; Reynolds number Description An account of the resource Equity market forecasting is difficult due to the high explosive nature of stock data and its impact on investor's stock investment and finance. The stock market serves as an indicator for forecasting the growth of the economy. Because of the nonlinear nature, it becomes a difficult job to predict the equity market. But the use of different methods of deep learning has become a vital source of prediction. These approaches employ time-series stock data for deep learning algorithm training and help to predict their future behavior. In this research, deep learning methods are evaluated on the India NIFTY 50 index, a benchmark Indian equity market, by performing a technical data augmentation approach. This paper presents a Recurrent Neural Network (RNN), Long Short Term Memory (LSTM), and the three variants of Gated Recurrent Unit (GRU) to analyze the model results. The proposed three GRU variants technique is evaluated on two sets of technical indicator datasets of the NIFTY 50 index (namely TA1 and TA2) and compared to the RNN and LSTM models. The experimental outcomes show that the GRU variant1 (GRU1) with TA1 provided the lowest value of Mean Square Error (MSE=0.023) and Root Mean Square Error (RMSE= 0.152) compared with existing methods. In conclusion, the NIFTY 50 index experiments with technical indicator datasetTA1 were more efficient by GRU. Hence, TA1 can be used to construct a robust predictive model in forecasting the stock index movements. 2021. All Rights Reserved. Creator An entity primarily responsible for making the resource Manjunath C.; Marimuthu B.; Ghosh B. Source A related resource from which the described resource is derived International Journal of Intelligent Engineering and Systems, Vol-14, No. 5, pp. 129-141. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.22266/ijies2021.1031.13" target="_blank" rel="noreferrer noopener">https://doi.org/10.22266/ijies2021.1031.13</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114719990&doi=10.22266%2Fijies2021.1031.13&partnerID=40&md5=976027ccb955dbff97d1c4592d6f7adc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114719990&doi=10.22266%2fijies2021.1031.13&partnerID=40&md5=976027ccb955dbff97d1c4592d6f7adc</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 Manjunath C., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Marimuthu B., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Bengaluru, India; Ghosh B., Department of Finance, RV Institute of Management, 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 Passenger flow prediction from AFC data using station memorizing LSTM for metro rail systems Subject The topic of the resource Forecast; LSTM; Metro rail transport; Passenger flow Description An account of the resource Metro rail systems are increasingly becoming relevant and inevitable in the context of rising demand for sustainable transportation methods. Metros are therefore going to have a consistently expanding user-base and hence user satisfaction will require meticulous planning. Usage forecast is clearly an integral component of metro planning as it enables forward looking and efficient allocation of resources leading to greater commuter satisfaction. An observation from studying the usage of Kochi Metro Rail Ltd. is that there is a consistently occurring temporal pattern in usage for every station. But the patterns differ from station to station. This hinders the search for a global model representing all stations. We propose a way to overcome this by using station memorizing Long Short-Term Memory (LSTM) which takes in stations in encoded form as input along with usage sequence of stations. This is observed to significantly improve the performance of the model. The proposed architecture with station parameter is compared with algorithms like SVR (support vector regression) and neural network implementation with the best architecture to testify the claim. The proposed model can predict the future flow with an error rate of 0.00127 MSE (mean squared error), which is better than the other models tested. CTU FTS 2021. Creator An entity primarily responsible for making the resource Sajanraj T.D.; Mulerikkal J.; Raghavendra S.; Vinith R.; Fabera V. Source A related resource from which the described resource is derived Neural Network World, Vol-31, No. 3, pp. 173-189. Publisher An entity responsible for making the resource available Czech Technical University in Prague 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/10.14311/NNW.2021.31.009" target="_blank" rel="noreferrer noopener">https://doi.org/10.14311/NNW.2021.31.009</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115448147&doi=10.14311%2FNNW.2021.31.009&partnerID=40&md5=52d718798ec7af2d62db4bd19fcdaa6a" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115448147&doi=10.14311%2fNNW.2021.31.009&partnerID=40&md5=52d718798ec7af2d62db4bd19fcdaa6a</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 12100552; CODEN: NNWOF 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 Sajanraj T.D., Department of Computer Science, Christ Deemed to be University, Bengaluru, India, Rajagiri School of Engineering & Technology (Autonomous), Rajagiri Valley, Kakkanad, Kochi, India; Mulerikkal J., Department of Computer Science, Rajagiri School of Engineering & Technology (Autonomous), Rajagiri Valley, Kakkanad, Kochi, India; Raghavendra S., Department of Computer Science, Christ Deemed to be University, Bengaluru, India; Vinith R., Department of Computer Science, Jyothi Engineering College, Cheruthuruthy, Kerala, Thrissur, India; Fabera V., Department of Applied Informatics in Transportation, Czech Technical University in Prague, Prague, Czech Republic 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 Forecasting intraday stock price using ANFIS and bio-inspired algorithms Subject The topic of the resource Adaptive neuro-fuzzy inference system; ANFIS; Bio-inspired algorithm; Genetic algorithm; Intraday day; Minute price; Particle swarm optimisation; PSO Description An account of the resource The main focus of this study is to explore the predictability of stock price with variants of adaptive neuro-fuzzy inference system (ANFIS) and suggests a hybrid model to enhance the prediction accuracy. Two variants of ANFIS model are designed which includes genetic algorithm-ANFIS (GA-ANFIS) and particle swarm optimisation-ANFIS (PSO-ANFIS) to forecast stock price more accurately. The standard ANFIS is tuned employing GA and PSO algorithm. The experimental data used in this investigation are stocks traded per minute price of four companies from NSE. Sixteen technical indicators are calculated from the historical prices and used as inputs to the developed models. Prediction ability of the developed models is analysed by varying number of input samples. Numerical results obtained from the simulation confirmed that the PSO-ANFIS model has the potential to predict the future stock price more precisely than GA-ANFIS as well as other earlier methods. Copyright 2021 Inderscience Enterprises Ltd. Creator An entity primarily responsible for making the resource Chandar S.K. Source A related resource from which the described resource is derived International Journal of Networking and Virtual Organisations, Vol-25, No. 1, pp. 29-47. Publisher An entity responsible for making the resource available Inderscience Publishers 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/10.1504/IJNVO.2021.117754" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJNVO.2021.117754</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116032336&doi=10.1504%2FIJNVO.2021.117754&partnerID=40&md5=53f2d695cabbbb83cb85efa610a25d16" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116032336&doi=10.1504%2fIJNVO.2021.117754&partnerID=40&md5=53f2d695cabbbb83cb85efa610a25d16</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 14709503 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 Chandar S.K., School of Business and Management, CHRIST (Deemed to be University), Bengaluru, 560029, 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 Inventory model for deteriorating items with ramp type demand under permissible delay in payment Subject The topic of the resource Deterioration; Nonlinear demand function; Permissible delay; Shortage Description An account of the resource Permissible delay in payment is a common method of payment often used by the suppliers and it generally leads to higher sales and ultimately higher revenue. This method is significant in the case of deteriorating products. In this paper, an inventory model for the deteriorating items with price and time-dependent ramp type demand is presented with shortages allowed and partially backlogged. The solution procedure is illustrated by numerical examples. The concavity of the profit function with respect to the decision variable is discussed analytically. Numerical analysis shows that the profit per unit time increases with the delay payment facility. Copyright 2021 Inderscience Enterprises Ltd. Creator An entity primarily responsible for making the resource Sharma A.; Kaushik J. Source A related resource from which the described resource is derived International Journal of Procurement Management, Vol-14, No. 5, pp. 578-595. Publisher An entity responsible for making the resource available Inderscience Publishers 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/10.1504/IJPM.2021.117292" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJPM.2021.117292</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114366109&doi=10.1504%2FIJPM.2021.117292&partnerID=40&md5=945419c653100c6cd7260bb01e928e7c" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85114366109&doi=10.1504%2fIJPM.2021.117292&partnerID=40&md5=945419c653100c6cd7260bb01e928e7c</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17538432 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 Sharma A., Department of Mathematics, Institute of Applied Sciences and Humanities, GLA University, NH-2, Mathura, 281406, India; Kaushik J., Department of Mathematics, Institute of Applied Sciences and Humanities, GLA University, NH-2, Mathura, 281406, India, Department of Data Science, CHRIST (Deemed to be University), 30 Valor Court, Dasve Cir, Lavasa, 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 Addiction treatment in India: Legal, ethical and professional concerns reported in the media Subject The topic of the resource addiction; content analysis; India; substance use disorders; treatment ethics Description An account of the resource As per the Magnitude of Substance Use in India 2019 survey report, over 57 million of the Indian population is in need of professional help for alcohol use disorders and around 7.7 million for opioid use disorders. The increasing demand for addiction treatment services in India calls for professionalising every aspect of the field. Frequent human rights violations and various unethical practices in Indian addiction treatment facilities have been reported in the mass media. This study is a content analysis of newspaper reports from January 1, 2016 to December 31, 2019 looking into legal, ethical and professional concerns regarding the treatment of substance use disorders in India. The content analysis revealed various human rights violations, the use of improper treatment modalities, the lack of basic facilities at treatment settings, and the presence of unqualified professionals in practice. Indian Journal of Medical Ethics 2021. Creator An entity primarily responsible for making the resource Joseph S.; Hemalatha K. Source A related resource from which the described resource is derived Indian Journal of Medical Ethics, Vol-6, No. 4, pp. 306-313. Publisher An entity responsible for making the resource available Forum for Medical Ethics Society 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/10.20529/IJME.2021.030" target="_blank" rel="noreferrer noopener">https://doi.org/10.20529/IJME.2021.030</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119317517&doi=10.20529%2FIJME.2021.030&partnerID=40&md5=5315b8f381abc08cdf2bca61c51e2224" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119317517&doi=10.20529%2fIJME.2021.030&partnerID=40&md5=5315b8f381abc08cdf2bca61c51e2224</a> Rights Information about rights held in and over the resource All Open Access; Hybrid Gold Open Access Relation A related resource ISSN: 9748466; PubMed ID: 34666979 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 Joseph S., Department of Social Work, Christ Deemed to be University, Bangalore, India; Hemalatha K., Department of Sociology and Social Work, 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 Optimising QoS with load balancing in cloud computing applying dual fuzzy technique Subject The topic of the resource Cloud computing; Cloud-sim; Dual fuzzy; Load balancing; Quality of service Description An account of the resource Cloud computing has become a necessity when the internet usage has increased drastically. This research paper objective is to optimise quality of service in cloud computing using dual fuzzy technique. With the competition to provide the best quality service at cloud data centre, we are analysing the parameters of average response time, average completion time, average CPU utilisation and job success. Cloud-sim simulator along with the mathematical model is used to provide reliable and valid result. To achieve the best result, the load in data centre needs to be efficiently distributed, so that it is managed to process maximum service requests with the best service response time and very few failures. In this paper, we applied dual fuzzy technique for the load balancing in the cloud data centre and the findings were extensive and support the proposed technique. With this technique, cloud computing service provider can provide better quality service. Copyright 2021 Inderscience Enterprises Ltd. Creator An entity primarily responsible for making the resource Thingom C.; Ganesh Kumar R. Source A related resource from which the described resource is derived International Journal of Intelligent Enterprise, Vol-8, No. 4, pp. 323-341. Publisher An entity responsible for making the resource available Inderscience Publishers 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/10.1504/IJIE.2021.117982" target="_blank" rel="noreferrer noopener">https://doi.org/10.1504/IJIE.2021.117982</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117149700&doi=10.1504%2FIJIE.2021.117982&partnerID=40&md5=a3e29ab8b92a140d6d2d255bc878e347" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117149700&doi=10.1504%2fIJIE.2021.117982&partnerID=40&md5=a3e29ab8b92a140d6d2d255bc878e347</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 17453232 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 Thingom C., Centre for Advanced Research and Training, CHRIST (Deemed to Be University), Karnataka, Bangalore, India; Ganesh Kumar R., Faculty of Engineering, CHRIST (Deemed to Be University), Karnataka, 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 Physical Co-location: an intersection of problem-solving and vicarious learning Subject The topic of the resource Co-location; Emergent learning; problem-solving; vicarious learning; Revans' praxeology Description An account of the resource Scholars have examined Revans' problem-solving praxeology in many contexts but have not fully explored the concept in the case of physical co-location. Hence, we focussed on investigating Revans' conceptualisation in a co-located context by paying particular attention to the different forms of learning' that emerged from it. The research setting for this study involved two coworking spaces in Bangalore, India, whose constituents were co-located start-ups and established enterprises. Held from January to March 2020, the study involved conducting exploratory, semi-structured interviews with twelve firms. The findings suggested that in a co-located environment, a) firms learnt vicariously' from a rich, external knowledge base during the enquiry-led Alpha phase b) firms learnt experientially', through learning by doing and reflecting in the implementation-focussed Beta phase c) firms learnt through the process of emergence that resulted from personal reflection and team interaction, in the revelatory Gamma phase. This study lends a novel direction in acknowledging that vicarious learning, that is, learning through the experience of others, serves as a starting point for problem-solving in a co-located context. We demonstrate that firms gain familiarity with the problem through vicarious sources, that is, from those experienced co-located firms who had journeyed on a similar path. 2021 Informa UK Limited, trading as Taylor & Francis Group. Creator An entity primarily responsible for making the resource Venkat R.; Gupta A.; Banerjee J.; Chellappan R.B. Source A related resource from which the described resource is derived Action Learning: Research and Practice, Vol-18, No. 3, pp. 211-226. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/14767333.2021.1954879" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/14767333.2021.1954879</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112718436&doi=10.1080%2F14767333.2021.1954879&partnerID=40&md5=32413e82b01d1cf42733bba3dac5117e" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85112718436&doi=10.1080%2f14767333.2021.1954879&partnerID=40&md5=32413e82b01d1cf42733bba3dac5117e</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 14767333 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 Venkat R., Department of Management, Jain University, Bangalore, India; Gupta A., Department of Management, Jain University, Bangalore, India; Banerjee J., School of Business and Management, Christ University, Bangalore, India; Chellappan R.B., Department of Management, Jain 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 Exchange rate, stock price and trade volume in US-China trade war during COVID-19: An empirical study Subject The topic of the resource Covid-19; Exchange rate; GARCH; Stock Market; Trade War Description An account of the resource This article aims to examine the influence of international trade wars on the majority of stock market operations, both directly and indirectly affected. The impact of the trade war on the exchange rates of the participating countries was similarly negative. This article seeks to trace the conversion standards' footprints in the United States, China, and India using several indexes such as the Shanghai Composite Index, Dow Jones index, and Nifty 50. The cost of closing down various indices on a daily basis, as well as the conversion standard upsides of the participating currencies, are all examined in this study. Furthermore, utilizing the OLS and GARCH models, this work provides insights into measuring the uncertainties about the impact of exchanging scale on financial exchange. According to the findings of OLS, changes in the swapping scale have had a minor impact on the daily closing costs of stock records in the individual countries. The conversion standard, on the other hand, has a major impact on trade volumes in all three stock markets. When compared to the SSE and DJI equities, the GARCH model predicts that the contingent shift will be less shocking, resulting in a smaller impact on Nifty trade volume. To replicate the impact of trade wars during the Covid-19 crisis, the final results imply that data from domestic and international financial transactions must include securities market transactions. Author This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND 4.0). Creator An entity primarily responsible for making the resource Shaikh E.; Krishnan D.; Ahmed F.; Mishra V.; Dagar V. Source A related resource from which the described resource is derived Estudios de Economia Aplicada, Vol-39, No. 8 Publisher An entity responsible for making the resource available Ascociacion Internacional de Economia Aplicada 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/10.25115/EEA.V39I8.5327" target="_blank" rel="noreferrer noopener">https://doi.org/10.25115/EEA.V39I8.5327</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117169316&doi=10.25115%2FEEA.V39I8.5327&partnerID=40&md5=f795f624b6a2a468c7d372d85bfd94bf" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117169316&doi=10.25115%2fEEA.V39I8.5327&partnerID=40&md5=f795f624b6a2a468c7d372d85bfd94bf</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 11333197 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 Shaikh E., Faculty of Business Administration, University Of Modern Sciences, Pakistan; Krishnan D., School of Management, Presidency University, India; Ahmed F., Department of Economics and Management Sciences, Ned University of Engineering and Technology, Pakistan; Mishra V., Department of Economics, Christ Deemed to be University, India; Dagar V., Amity School of Economics, Amity University, 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 Post listing IPO returns and performance in India: An empirical investigation Subject The topic of the resource IPO performance; IPO underpricing; Listing gains; Market adjusted short run performance model; Subscription ratio; Wealth relative model Description An account of the resource Objectives: (a) To analyse the performance of Indian IPOs in the short term. (b) To determine the significance of abnormal return of the IPOs. (c) To study the impact of over-subscription, profit after tax, promoters' holdings, issue price and market returns on IPO performance. Design/ Methodology/Approach: This research paper is based on empirical analysis. All the 52 IPO's listed in the NSE (National Stock Exchange, India) during the year 2018 to 2020 were considered for the study. The study is based on secondary data. The daily share price and Nifty-50 index value were taken from NSE website (www.nseindia.com) and other relevant data from red-herring prospectus of the respective company. The research / statistical tools used are: Market adjusted short run performance model, Wealth relative model, 't' test and regression analysis. Scope of the study: The scope of the study is limited to the IPO's listed only in the National Stock Exchange (NSE), India. Period of study: The study covers a period from January 2018 to December, 2020. Limitation of the study: The study considers only the influence of the external factors on the performance of IPOs. Findings: The average IPO return on the first trading day is 13.52%, ranging from -23.15% to 82.16% with standard deviation of 26.72%. The average IPO return on the third trading day was the highest and is found to be14.52%, ranging from -19.22% to 117.55% with standard deviation of 18.57%. The analysis reveals that the over subscription impacts the IPO performance and the other factors namely, issue price, Profit after Tax, market returns and promoters holdings do not influence IPO returns. Originality / Value: This is an original work that analyses the listing gain or loss and the post listing performance of IPO's in India and other factors that might influence the listing gain or loss. Copyright 2021. T. Ramesh Chandra Babu and Aaron Ethan Charles Dsouza. Distributed under Creative Commons Attribution 4.0 International CC-BY 4.0 Creator An entity primarily responsible for making the resource Babu T.R.C.; Dsouza A.E.C. Source A related resource from which the described resource is derived IBIMA Business Review, Vol-2021 Publisher An entity responsible for making the resource available IBIMA Publishing 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/10.5171/2021.418441" target="_blank" rel="noreferrer noopener">https://doi.org/10.5171/2021.418441</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113384595&doi=10.5171%2F2021.418441&partnerID=40&md5=d683bdb30643dd2198db95de918614dc" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85113384595&doi=10.5171%2f2021.418441&partnerID=40&md5=d683bdb30643dd2198db95de918614dc</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 19473788 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 Babu T.R.C., CHRIST University, Bangalore, India; Dsouza A.E.C., 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 Laguerre polynomial-based operational matrix of integration for solving fractional differential equations with non-singular kernel Subject The topic of the resource Laguerre polynomial; Mittag-Leffler kernel; operational matrix Description An account of the resource The Atangana-Baleanu derivative and the Laguerre polynomial are used in this analysis to define a new computational technique for solving fractional differential equations. To serve this purpose, we have derived the operational matrices of fractional integration and fractional integro-differentiation via Laguerre polynomials. Using the derived operational matrices and collocation points, we reduce the fractional differential equations to a system of linear or nonlinear algebraic equations. For the error of the operational matrix of the fractional integration, an error bound is derived. To illustrate the accuracy and the reliability of the projected algorithm, numerical simulation is presented, and the nature of attained results is captured in diverse order. Finally, the achieved consequences enlighten that the solutions obtained by the proposed scheme give better convergence to the actual solution than the results available in the literature. 2021 The Author(s). Creator An entity primarily responsible for making the resource Baishya C.; Veeresha P. Source A related resource from which the described resource is derived Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, Vol-477, No. 2253, pp. 86-90. Publisher An entity responsible for making the resource available Royal Society Publishing 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/10.1098/rspa.2021.0438" target="_blank" rel="noreferrer noopener">https://doi.org/10.1098/rspa.2021.0438</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118833419&doi=10.1098%2Frspa.2021.0438&partnerID=40&md5=6f5a77428c25ff41164d42fe93ede7fb" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118833419&doi=10.1098%2frspa.2021.0438&partnerID=40&md5=6f5a77428c25ff41164d42fe93ede7fb</a> Rights Information about rights held in and over the resource All Open Access; Bronze Open Access Relation A related resource ISSN: 13645021 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 Baishya C., Department of Studies and Research in Mathematics, Tumkur University, Karnataka, Tumkur, India; Veeresha P., Center for Mathematical Needs, Department of Mathematics, CHRIST (Deemed to Be University), Bengaluru, 560029, 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 Social Media and Steganography: Use, Risks and Current Status Subject The topic of the resource cyber bullying; cyber stalking; Facebook; OSN; social media; steganalysis; Steganography; Twitter Description An account of the resource Steganography or data hiding is used to protect the privacy of information in the transit; it has been observed that the information that flows through Online Social Networks (OSN) is very much unsafe. Therefore, people hesitate to communicate their sensitive data on social media.. Most of the information on the online social network is not useful to users and appears to disregard such details. People's actions provided a possibility for digital Steganography through the Internet.. TCPIP covert channels were used for steganography until the last decade. People began to utilize social media as a covert conduit to communicate hidden messages to targeted users as social media grew in popularity. There are numerous Online Social Networks accessible nowadays, ranging from Facebook to the more contemporary Twitter and Instagram. All of them may be utilized as covert channels without the general public noticing. The primary characteristic of steganography is the protection of information privacy; nonetheless, it has been utilized more for illicit message transmission, which is a source of concern. To make matters worse, adversaries are using steganalysis techniques to mess with the concealed data. In this article, we examine the different social media steganography techniques, such as those used on Facebook, WhatsApp, and Twitter, as well as the difficulties that these approaches raise. The positive and negative consequences of social media, as well as its current state, are discussed in this study. This paper discusses how the performances of Steganography methods may be assessed using the Entropy value of the Stego object. A look of the three features of steganography. It has been given with undetectability, robustness, and payload capacity. Finally, the paper's concept's future scope is explored. 2013 IEEE. Creator An entity primarily responsible for making the resource Gurunath R.; Klaib M.F.J.; Samanta D.; Khan M.Z. Source A related resource from which the described resource is derived IEEE Access, Vol-9, pp. 153656-153665. 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 2021-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/ACCESS.2021.3125128" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/ACCESS.2021.3125128</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118660343&doi=10.1109%2FACCESS.2021.3125128&partnerID=40&md5=7c7b54e28050e0d9787f173b79830040" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118660343&doi=10.1109%2fACCESS.2021.3125128&partnerID=40&md5=7c7b54e28050e0d9787f173b79830040</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 21693536 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 Gurunath R., Department of Computer Science, CHRIST (Deemed to Be University), Karnataka, Bengaluru, India; Klaib M.F.J., Department of Computer Science, Taibah University, Madinah Al Munawara, Saudi Arabia; Samanta D., Department of Computer Science, CHRIST (Deemed to Be University), Karnataka, Bengaluru, India; Khan M.Z., Department of Computer Science, Taibah University, Madinah Al Munawara, Saudi Arabia 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 Transformation of India as investor of outward fdi: A systematic investigation of literature Description An account of the resource Besides the economic transformation and industrial up-gradation, Indian enterprises have steadily intensified their overseas investment venture during recent years. A systematic literature review performed to inspect the strategic motives and Outward FDI (OFDI) impact on emerging economies like India. This paper explores relevant theories, strategic rationale, and economic policies that propel the present OFDI trend from India. The effort taken by the Indian government to promote innovations were Cross border commercial and industrial collaboration. These efforts flagged the way for more Outward FDI possibilities in the future (Welch, 1988). This study comprises the literature works till the year 2019, which includes research journals and reports. The analysis observes that knowledge-based industries drive India's Outward FDI and examine whether knowledge-based industries contribute to sustaining long-term domestic and international growth (Pradhan J.P., 2005; Narayanan, 2016). Indian Institute of Finance. Creator An entity primarily responsible for making the resource Sukanya R.; Suresh G. Source A related resource from which the described resource is derived Finance India, Vol-35, No. 3, pp. 979-988. Publisher An entity responsible for making the resource available Indian Institute of Finance 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="" target="_blank" rel="noreferrer noopener"></a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115155537&partnerID=40&md5=ab1e78e46fce0073a56d23d65021f216" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85115155537&partnerID=40&md5=ab1e78e46fce0073a56d23d65021f216</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 9703772 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 Sukanya R., NMKRV College for Women and PhD. Research Scholar, CHRIST (Deemed to be University), 45/1, 22nd Cross, Jayanagar, III Block, Bengaluru, Karnataka, 560011, India; Suresh G., CHRIST (Deemed to be University), Hosur Road, Bhavani Nagar, S.G. Palya, Central Campus, Bangalore, Karnataka, 560029, 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 Research & development premium in the Indian equity market: An empirical study Subject The topic of the resource Asset pricing; Investment; Portfolio management; Profitability; R&D premium; Size; Value premium Description An account of the resource This article aims to investigate the research and development (R&D) premium and explore the three most prominent asset pricing models: capital asset pricing and the three-and five-factor models (Fama & French, 1993; 2015). The results show that India's annualized average R&D premium is significantly higher than the existing value, market, profitability, size and investment premiums, implying that the R&D premium is a more significant concern for Indian investors, particularly for high R&D firms. It was also observed that by applying the GRS test and the Fama and MacBeth (1973) two-pass procedure, the R&D risk factor augmented the CAPM, FF3F and FF5F models outperforming the existing CAPM, FF3F and FF5F models, respectively. We can also report that R&D is, unquestionably, a priced ingredient and a critical factor in developing pricing models for developing markets such as India. The paper's conclusions add to the current literature in R&D and asset pricing and assist investment professionals in developing better investment and trading strategies. 2021 AESS Publications. All Rights Reserved. Creator An entity primarily responsible for making the resource Sharma B.; Srikanth P. Source A related resource from which the described resource is derived Asian Economic and Financial Review, Vol-11, No. 10, pp. 816-828. Publisher An entity responsible for making the resource available Asian Economic and Social Society 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/10.18488/JOURNAL.AEFR.2021.1110.816.828" target="_blank" rel="noreferrer noopener">https://doi.org/10.18488/JOURNAL.AEFR.2021.1110.816.828</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118974667&doi=10.18488%2FJOURNAL.AEFR.2021.1110.816.828&partnerID=40&md5=8b516d82a7d79d78d82a3d8d933f2af6" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118974667&doi=10.18488%2fJOURNAL.AEFR.2021.1110.816.828&partnerID=40&md5=8b516d82a7d79d78d82a3d8d933f2af6</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 23052147 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 Sharma B., Christ University, Kengeri Campus, Mysore Road, Bangalore, India; Srikanth P., Christ University, Kengeri Campus, Mysore Road, 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 Mine Waste-Based Next Generation Bricks: A Case Study of Iron Ore Tailings, Red Mudand GGBS Utilization in Bricks Description An account of the resource Utilization of mine wastes as a building material in the construction industry surmises to environmental and sustainable concepts in civil engineering.The potential environmental threat posed by mining wastes, as well as a growing societal awareness of the need to effectively treat mining wastes, has elevated the subject importance.The present research proposes a method of producing bricks that is both cost effective and environmentally benign. The research is based on the geopolymerization, known to save energy by obviating high-temperature kiln firing and lowering greenhouse gas emissions. The methodology encompasses the mixing of red mud and iron ore tailings in the range of 90% to 50% with a decrement of 10% with GGBS in the range of 10% to 50% with an increment of 10%. The raw materials and the developed composites have been tested as per Indian and ASTM standards.In addition to tests pertaining to the physical and mechanical properties, XRF, XRD, and SEM tests have been performed for examining various related issues. Based on the result analysis, the compressive strength values showed noticeable differences in case of IOT and red mud bricks with IOT-based bricks showing better compressive strengths. 2021 M. Beulah et al. Creator An entity primarily responsible for making the resource Beulah M.; Sudhir M.R.; Mohan M.K.; Gayathri G.; Jain D. Source A related resource from which the described resource is derived Advances in Materials Science and Engineering, Vol-2021 Publisher An entity responsible for making the resource available Hindawi Limited 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/10.1155/2021/9499613" target="_blank" rel="noreferrer noopener">https://doi.org/10.1155/2021/9499613</a> <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118584569&doi=10.1155%2F2021%2F9499613&partnerID=40&md5=c8b979915204054b92aae7f6ce225b21" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85118584569&doi=10.1155%2f2021%2f9499613&partnerID=40&md5=c8b979915204054b92aae7f6ce225b21</a> Rights Information about rights held in and over the resource All Open Access; Gold Open Access Relation A related resource ISSN: 16878434 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 Beulah M., Department of Civil Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, Karnataka, India; Sudhir M.R., Department of Civil Engineering, School of Engineering and Technology, CHRIST (Deemed to Be University), Bangalore, Karnataka, India; Mohan M.K., Department of Science and Humanities, CHRIST (Deemed to Be University), Bangalore, Karnataka, India; Gayathri G., Department of Civil Engineering, School of Engineering, ACS College of Engineering, Bangalore, Karnataka, India; Jain D., Department of Construction Technology and Management, Blue Hora University, Blue Hora, Ethiopia