Text Mining-A Comparative Review of Twitter Sentiments Analysis
subject: airline sentiments; decision trees; gaussian naive bayes; gini index; machine learning; multinomial naive bayes; multinomial naive bayes with bagging; Opinion mining; random forest
description: Background: Text mining derives information and patterns from textual data. Online social media platforms, which have recently acquired great interest, generate vast text data about human behaviors based on their interactions. This data is generally ambiguous and unstructured. The data includes typing errors and errors in grammar that cause lexical, syntactic, and semantic uncertainties. This results in incorrect pattern detection and analysis. Researchers are employing various text mining techniques that can aid in Topic Modeling, the detection of Trending Topics, the identification of Hate Speeches, and the growth of communities in online social media net-works. Objective: This review paper compares the performance of ten machine learning classification techniques on a Twitter data set for analyzing users' sentiments on posts related to airline usage. Methods: Review and comparative analysis of Gaussian Naive Bayes, Random Forest, Multinomial Naive Bayes, Multinomial Naive Bayes with Bagging, Adaptive Boosting (AdaBoost), Optimized AdaBoost, Support Vector Machine (SVM), Optimized SVM, Logistic Regression, and Long-Short Term Memory (LSTM) for sentiment analysis. Results: The results of the experimental study showed that the Optimized SVM performed better than the other classifiers, with a training accuracy of 99.73% and testing accuracy of 89.74% compared to other models. Conclusion: Optimized SVM uses the RBF kernel function and nonlinear hyperplanes to split the dataset into classes, correctly classifying the dataset into distinct polarity. This, together with Feature Engineering utilizing Forward Trigrams and Weighted TF-IDF, has improved Optimized SVM classifier performance regarding train and test accuracy. Therefore, the train and test accuracy of Optimized SVM are 99.73% and 89.74% respectively. When compared to Random Forest, a mar-ginal of 0.09% and 1.73% performance enhancement is observed in terms of train and test accuracy and 1.29% (train accuracy) a…
creator: Patil S.; Subil D.; Nasar N.; Kokatnoor S.A.; Krishnan B.; Kumar S.
source: Recent Advances in Computer Science and Communications, Vol-17, No. 1, pp. 21-37.
publisher: Bentham Science Publishers
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 26662558
format: Online
language: English
type: Review
coverage: Patil S., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India; Subil D., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India; Nasar N., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India; Kokatnoor S.A., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India; Krishnan B., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India; Kumar S., Department of Computer Science and Engineering, School of Engineering and Technology, CHRIST (Deemed to be University), Karnataka, 74, Bangalore, India

Text Summarization Techniques for Kannada Language
subject: Abstractive; Extractive; LSTM; ROUGE; Text processing; TF-IDF
description: Text Summarization is summarizing the original text document into a shorter description. This short version should retain the meaning and information content of the original text document. A concise summary can help humans quickly understand a large original document better in a short time. Summarization can be used in many text documents, such as reviews of books, movies, newspaper articles, content, and huge documents. Text summarization is broadly classified into extractive Text Summarization (ETS) and Abstractive Text Summarization (ATS). Even though more research works are carried out using extractive methods, meaningful summaries can be attained using abstractive summary techniques, which are more complex. In Indian languages, very few works are carried out in abstract summarization, and there is a high need for research in this area. The paper aims to generate extractive and abstractive summaries of the text by using deep learning and extractive summaries and comparisons between them in the Kannada language. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
creator: Yogish D.; Jalapur S.; Yogisha H.K.; Mithun B.N.
source: Lecture Notes in Networks and Systems, Vol-1121 LNNS, pp. 107-117.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 23673370; ISBN: 978-981977422-7
format: Online
language: English
type: Conference paper
coverage: Yogish D., CHRIST University, Karnataka, Bengaluru, India; Jalapur S., CHRIST University, Karnataka, Bengaluru, India; Yogisha H.K., Ramaiah Institute of Technology, Karnataka, Bengaluru, India; Mithun B.N., CHRIST University, Karnataka, Bengaluru, India

Text Summarization Using Combination of Sequence-To-Sequence Model with Attention Approach
subject: Attention layer; Decoderencoder; Long-term short memory; Recurrent neural network; Text summarization
description: In daily life, we come across tons and tons of information which can be related to news articles or any kind of social media posts or customer reviews related to product. It is difficult to read all the content due to time constraint. Being able to develop the software that can identify and automatically extract the important information. There are two types of summarization methods. Extractive text summarization is the method where it picks the important content from the source text and gives same in the form of short summary, and on the other hand, abstractive summarization is the technique where it gets the context of the source text, and based on that context, it regenerates small and crisps summary. In this paper, we use the concept of neural network with attention layer to deal with abstractive text summarization that generates short summary of a long piece of text using review dataset. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
creator: Bhandarkar P.; Thomas K.T.
source: Lecture Notes on Data Engineering and Communications Technologies, Vol-141, pp. 283-293.
publisher: Springer Science and Business Media Deutschland GmbH
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 23674512
format: Online
language: English
type: Book chapter
coverage: Bhandarkar P., Department of Data Science, CHRIST University, Bangalore, India; Thomas K.T., Department of Data Science, CHRIST University, Bangalore, India

Text summarization using residual-based temporal attention convolutional neural network
subject: Classifier; Computational complexity; Entropy values; Feature extraction; Improved Initialization strategy-based aquila optimization algorithm; Residual-based temporal attention convolutional neural network
description: To address the computational complexity and limited to large data Enhanced Residual based Temporal Attention Convolutional Neural Network (ERTACNN) with Improved Initialization strategy-based Aquila Optimization Algorithm (IIAOA) is proposed. Initially the document is pre-processed to get structured data and given to feature extraction. Then the features are selected with Aquila Optimization Algorithm to remove redundant or unrelated features from high-dimensional data, from which the entropy values are calculated and given to proposed classifier. In this classification, the temporal attention mechanism is combined with classifier to compute attention weight and accompanied with important time points for classifying the documents. Finally, the proposed method is implemented in python and evaluated against existing works which achieves 70.34, 55.6 and 72.4 Recall Oriented Understudy for Gisting Evaluation (ROUGE) score than existing approaches. 2023, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management.
creator: Rajan R.P.; Jose D.V.
source: International Journal of Information Technology (Singapore)
publisher: Springer Science and Business Media B.V.
date: 2023-01-01
rights: Restricted Access
relation: ISSN: 25112104
format: Online
language: English
type: Article
coverage: Rajan R.P., Department of Computer Science, Christ (Deemed to Be University), Karnataka, Bengaluru, India; Jose D.V., Department of Computer Science, Christ (Deemed to Be University), Karnataka, Bengaluru, India

Text-Based Sentimental Analysis to Understand User Experience Using Machine Learning Approaches
subject: Google Colab; LSTM; Python; Sentiment Analysis; Twitter
description: Data Analysis is turning into a driving force in every industry. It is a process in which data is analyzed in multiple ways to come to certain conclusions for the given situation. Sentiment analysis can be said to be a sub-section of data analysis where analysis is carried out on the emotions and opinions of the text. Social media has a plethora of sentiment data in various forms such as tweets, updates on the status, and so forth. Sentiment analysis on the huge volume of data can help in identifying the opinions of the general mass.The primary goal is to find the opinion of customers on the services of the Bangalore airport and to enhance the nature of these services according to the feedback provided. In this paper, we aim to measure customer opinion on services provided by Bangalore Airport through sentiment. Data is collected by a python-based scraper. The tweets are processed to determine whether they are of positive or negative opinion. These opinions are then analyzed to determine the factors which cause the negative opinions and the airport staff are alerted about the same. Various algorithms were used as part of the experimental analysis. LSTM produces more accuracy compared with existing approaches. 2023 IEEE.
creator: Gokulapriya R.; Sambandam R.K.; Balamurugan M.
source: 2023 9th International Conference on Advanced Computing and Communication Systems, ICACCS 2023, pp. 402-408.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2023-01-01
rights: Restricted Access
relation: ISBN: 979-835039737-6
format: Online
language: English
type: Conference paper
coverage: Gokulapriya R., SOET, CHRIST (Deemed to be University), Dept. of Computer Science and Engineering, Bengaluru, India; Sambandam R.K., SOET, CHRIST (Deemed to be University), Dept. of Computer Science and Engineering, Bengaluru, India; Balamurugan M., SOET, CHRIST (Deemed to be University), Dept. of Computer Science and Engineering, Bengaluru, India

Textile tourism and the challenges of the indigenous handloom sector in Northern Kerala
description: This study investigates the functioning of indigenous handloom enterprises and their relationship with textile tourism. It also explores the regional textile industry and the challenges weavers encounter in promoting their goods to visitors and exporters. Data was collected using a purposive sampling method, and a structured questionnaire was administered to 120 weavers from four textile weaving centers in Kozhikode, Kerala. The most significant obstacle for weavers and independent producers is the lack of direct communication with customers and the limited access to information provided by manufacturers, corporations, and gallery owners. Firstly, handcrafted items are becoming more accessible and affordable; secondly, the interest of the younger generation is gradually fading, which reduces the number of skilled professionals. The result of this study provides insight into how Khadi Textiles has the potential to contribute positively to socioeconomic achievements and enhance weaver's and destination image. 2024, IGI Global. All rights reserved.
creator: Nikhilraj K.; Thomas J.
source: Examining Tourist Behaviors and Community Involvement in Destination Rejuvenation, pp. 194-206.
publisher: IGI Global
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 979-836936821-3; 979-836936819-0
format: Online
language: English
type: Book chapter
coverage: Nikhilraj K., Christ University, India; Thomas J., Christ University, India

Textual and media-based self-learning modules: Support for achievement in algebra and geometry
subject: Achievement; Algebra; Geometry; Individualised Learning; Media Form; Self-Learning Modules; Textual Form
description: Owing to the importance of a subject like mathematics in the teaching and learning of science, self-learning often poses a challenge to the educator. The objective of this study is to analyse the enhancement of the textual and the media form of self-learning modules to teach algebra and geometry to eighth graders considering their retention levels. A pre-Test post-Test single-group quasi experimental design was tested and tried out on 49 participants of a school. The 20 modules of self-learning material covering content in the topics of algebra and geometry in the textual and media-Assisted forms of self-learning were administered over three months. The findings of the study revealed the ability of media-Assisted self-learning modules to enhance achievement in the post-Test when compared to the pre-Test. The textual-Assisted learning modules were able to enhance significant difference in the achievements in geometry, but not of algebra. The delayed post-Test results were found to indicate an improved achievement in mathematics. 2022 IGI Global. All rights reserved.
creator: Kareem J.; Mathew M.M.; David D.
source: International Journal of Virtual and Personal Learning Environments, Vol-12, No. 1
publisher: IGI Global
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 19478518
format: Online
language: English
type: Article
coverage: Kareem J., Christ University, India; Mathew M.M., Christ Junior College, India; David D., St. Mary s School, India

THAYIL, JEET (1959-)
description: [No abstract available]
creator: Tanupriya
source: The Routledge Encyclopedia of Indian Writing in English, pp. 427-428.
publisher: Taylor and Francis
date: 2023-01-01
rights: Restricted Access
relation: ISBN: 978-100093315-4; 978-103224557-7
format: Online
language: English
type: Book chapter
coverage: Tanupriya, Department of English and Cultural Studies, CHRIST (Deemed to be University), Delhi NCR campus, India

The Accountability of Stakeholders in Combating Domestic Violence with Women in India
subject: access to justice; Domestic violence; intimate partner violence; stakeholders; woman
description: As per the Hindu tradition, women are considered as ardhangini and the western civilisation considers them as better half. Since ancient times, women have been considered as the epitome of love, kindness, care and above all the mother of mankind. But on the contrary, the most terrible and horrifying cruelties are imposed upon her. The predominant type of violence which is inflicted upon a woman is domestic violence also known as intimate partner violence. According to the World Health Organisation, almost one third, i.e., 27% of the women aged between 15 and 49 years, who have been in a relationship report that they have been subjected to some form of physical or sexual violence by their intimate partner. The issue of domestic violence has been addressed at both international and national levels, but still there exists a persistent gap in enforcing and implementing them. And this can be easily proved from the continuous rise in the cases of domestic violence worldwide, especially during the COVID times. The problem that needs to be addressed at hand is the role of several accountable stakeholders involved in the process of providing access to justice to the women affected by domestic violence. According to the Protection of Women from Domestic Violence Act (2005), in India, the several stakeholders include the protection officers, service providers, lawyers, police officers, shelter homes and judges. These are the people with whom the power to protect and help the women are vested, but instead the affected women fall a prey to this system due to various reasons like lack of resources, fewer power and many more which will be further discussed in the article. 2024 selection and editorial matter Dr. Shilpi Sharma and Baidya nath Mukherjee; individual chapters, the contributors.
creator: Singh M.; Mathew M.
source: Law and Emerging Issues: Proceedings of the International Conference on Law and Emerging Issues (ICLEI 2023), pp. 129-140.
publisher: Taylor and Francis
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 978-104004662-3; 978-103254944-6
format: Online
language: English
type: Book chapter
coverage: Singh M., School of Law, Christ (Deemed to be) University, Delhi-NCR, India, University Institute of Legal Studies, Chandigarh University, Punjab, India; Mathew M., School of Law, Christ (Deemed to be) University, Delhi-NCR, India

The accumulation, antioxidant defences, and secondary metabolite production in common sage (Salvia officinalis L.) under lead toxicity
subject: antioxidants; Pb stress; rosmarinic acid; Sage; Salvia officinalis
description: The growing levels of lead (Pb) in agricultural soil and water bodies as a result of industrialization and human activity present serious challenges for medicinal plants. The present study investigates the complex responses of Salvia officinalis to toxicity caused by Pb including metal accumulation, translocation dynamics, antioxidant defenses, and the production of secondary metabolites. Pb showed preferential accumulation in the roots, peaking at (1000 ppm Pb) (2484.2 mg kg-1). The reduced levels of total chlorophyll (1.29-fold), protein (1.9-fold), and carbohydrate (2.5-fold) under prolonged exposure to stress demonstrate the toxic impacts of lead. Proline and total phenolic content (TPC) increased concentration-dependently under lead stress, while flavonoids were found to be decreased with the enhancement of lead toxicity. Enzymatic antioxidants (catalase, APX, and SOD) showed notable increase, especially in the 30 days of treatment, demonstrating the plants strong defenses. S. officinaliss adaptive responses were highlighted by concentration-dependent increases in non-enzymatic antioxidants such as total antioxidant capacity (TAC) and DPPH radical scavenging activity. Crucially, under lead stress, S. officinalis showed 1.7-fold increased rosmarinic acid (RA) production, in plants exposed to 200 ppm for 30 days treatment. However, further exposure to lead significantly caused the reduction of RA production. The results add to our knowledge of how sage plants respond to environmental stress and offer important insights for future uses in phytoremediation and the breeding of stress-tolerant plant cultivars. Furthermore, the research highlights about the S. officinaliss potential as a source of bioactive compounds possessing antioxidant qualities, under low levels of lead stress. 2024, Indian journals. All rights reserved.
creator: Ramakrishnan R.; Nagella P.
source: Medicinal Plants, Vol-16, No. 3, pp. 519-531.
publisher: Indian journals
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 9754261
format: Online
language: English
type: Article
coverage: Ramakrishnan R., Department of Life Sciences, School of Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India; Nagella P., Department of Life Sciences, School of Sciences, CHRIST (Deemed to be University), Hosur Road, Karnataka, Bengaluru, 560029, India

The aesthetics of corpses in popular culture
description: [No abstract available]
creator: Kundu D.
source: Death in Contemporary Popular Culture, pp. 103-115.
publisher: Taylor and Francis Inc.
date: 2019-01-01
rights: Restricted Access
relation: ISBN: 978-042919702-4; 978-036718585-5
format: Online
language: English
type: Book chapter
coverage: Kundu D., School of Business Studies and Social Sciences, Christ (Deemed to Be University), Bangalore, India

The analogy of nanoparticle shapes on the theory of convective heat transfer of AuFe3O4 Casson hybrid nanofluid
subject: casson nanofluid; heat transfer co-efficient; nanoparticle shape; thermal conductivity; volume fraction
description: In recent times, Au nanoparticles have beencommonly used for delivering the drug especially in the case of hypothermia of tumors, but low absorption of IR light does not solve destruction of tumor cells. However, nanoparticles such as Fe3O4 coated with Au could be used to deliver the drug to a specific spot due to applied external magnetic field. Due to these applications, boundary layer approximation is invoked to simplify the mathematical model. This paper presents the nanoparticle shape analysis and heat transfer features of the AuFe3O4blood hybrid nanofluid flowing past a stretching surface on a magnetohydrodynamic medium. Numerical solutions of nonlinear differential equations are obtained by RKF-45 method with the help of shooting technique. The behavior of emerging parameters is described graphically for velocity and temperature profiles. It is found that the blade-shaped Au and Fe3O4 nanoparticles have better thermal conductance than brick, sphere, cylinder, needle, and platelet shapes. It is also observed that the Lorentz force generated due to magnetic field helps in controlling the flow and enhance the thermal conductivity of hybrid nanofluid. 2021 Wiley Periodicals LLC.
creator: Puneeth V.; Baby A.K.; Manjunatha S.
source: Heat Transfer, Vol-51, No. 3, pp. 2586-2603.
publisher: John Wiley and Sons Inc
date: 2022-01-01
rights: Restricted Access
relation: ISSN: 26884534
format: Online
language: English
type: Article
coverage: Puneeth V., Department of Mathematics, CHRIST (Deemed to be University), Bangalore, India; Baby A.K., Department of Sciences and Humanities, CHRIST (Deemed to be University), Bangalore, India; Manjunatha S., Department of Sciences and Humanities, CHRIST (Deemed to be University), Bangalore, India

THE ANALYSIS OF THE FLOW OF BLOOD IN A STENOSED ARTERY THROUGH SIMULATION: A COMPARISON AMONG VARIOUS NON-NEWTONIAN MODELS
subject: atherosclerosis; Coronary artery; low-density lipoprotein; rheology; stenosis
description: This paper focuses on the dual quality of blood, Newtonian and non-Newtonian, in particular by exploring the energy curves. Careful investigation of the dual property of blood has been made by considering two different geometries to represent a stenosed arterial segment. We present a cautious assessment of non-Newtonian blood rheology impacts in arterial stream simulations by coupling the Newtonian and non-Newtonian models. The flow of energy through the two flow dimensions is meticulously investigated using velocity (kinetic energy), pressure, and wall shear stress (pressure energy). Besides, the proper implementation of an interface boundary condition (IBC) was emphasized to ensure consistency with the flow conditions downstream of a backward-facing step. The integration of the Newtonian and non-Newtonian models adjoins the novelty of the current research. The energy curves are obtained by implementing five different non-Newtonian models to designate a suitable non-Newtonian model for blood flow investigations. The combination of the non-Newtonian models enforced in this research is novel and particular attention is paid to the energy curves obtained. The conclusion was to elect the Carreau model as a suitable non-Newtonian rheological model for the blood flow study. This study was able to finalize the fact that the coupling of Newtonian and non-Newtonian models is necessary to obtain accurate results. For the sinusoidal waveform considered for the velocity, Carreau and the Power law models yield better results, eliminating the other non-Newtonian models from the list. With a better inlet condition imposed in the form of the Fourier series for pressure and velocity, the Carreau model yields the best results. 2024 World Scientific Publishing Company.
creator: Shankar Narayan S.; Bhattacharjee A.; Saha S.; Puneeth V.; Singhal A.; Sayfutdinovna Abdullaeva B.
source: Journal of Mechanics in Medicine and Biology, Vol-24, No. 7
publisher: World Scientific
date: 2024-01-01
rights: Restricted Access
relation: ISSN: 2195194
format: Online
language: English
type: Article
coverage: Shankar Narayan S., Department of Mathematics and Statistics, Ramaiah University of Applied Sciences, Bengaluru, 560058, India; Bhattacharjee A., Department of Mathematics, Dayananda Sagar University, Bengaluru, 560058, India; Saha S., Department of Mathematics, Vellore Institute of Technology, Vellore, 632014, India; Puneeth V., Department of Computational Science, CHRIST (Deemed to be University), Ghaziabad, 201003, India; Singhal A., Department of Computational Science, CHRIST (Deemed to be University), Ghaziabad, 201003, India; Sayfutdinovna Abdullaeva B., Doctor of Pedagogical Sciences, Vice-Rector for Scientific Affairs, Tashkent State Pedagogical University, Tashkent, Uzbekistan

The application of artificial intelligence in education: Opportunities and challenges
description: The chapter investigates the challenges of implementing AI in education, including ethical and privacy concerns, the impact on teacher and student roles, bias and fairness in AI-based systems, and technical challenges. Furthermore, it discusses AI's potential policy and practice implications in education and outlines future research directions. The chapter concludes by emphasizing the transformative nature of AI in education and its capacity to enhance teaching and learning experiences, improve educational outcomes, and foster equitable access to quality education. 2024, IGI Global. All rights reserved.
creator: Singha S.; Singha R.
source: Educational Perspectives on Digital Technologies in Modeling and Management, pp. 282-292.
publisher: IGI Global
date: 2024-01-01
rights: Restricted Access
relation: ISBN: 979-836932315-1; 979-836932314-4
format: Online
language: English
type: Book chapter
coverage: Singha S., Kristu Jayanti College (Autonomous), India; Singha R., Christ University, India

The art of smart parenting
subject: Parenting
description: NA
creator: John J Kennedy
source: Deccan Herald, 15-April-2020
publisher: Deccan Herald
date: 2020-April-15
rights: Open Access
relation: NA
format: Online
language: English
type: Newspaper Article
coverage: India

The Association between Accounting determined and market determined measures of risk: Evidences from Indian Pharmaceutical Industry.
subject: Department of Management
description: Volume : 3, Issue : 12, pp- 35-44, ISSN: 2249-7307
creator: Ansuman Chatterjee
source: http://www.indianjournals.com/ijor.aspx?target=ijor:ajrbem&volume=3&issue=12&article=003#aff002
publisher: Asian Journal of Research in Business Economics and Management
date: 2013
language: English
type: Article

The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package*
description: The Astropy Project supports and fosters the development of open-source and openly developed Python packages that provide commonly needed functionality to the astronomical community. A key element of the Astropy Project is the core package astropy, which serves as the foundation for more specialized projects and packages. In this article, we summarize key features in the core package as of the recent major release, version 5.0, and provide major updates on the Project. We then discuss supporting a broader ecosystem of interoperable packages, including connections with several astronomical observatories and missions. We also revisit the future outlook of the Astropy Project and the current status of Learn Astropy. We conclude by raising and discussing the current and future challenges facing the Project. 2022. The Author(s). Published by the American Astronomical Society.
creator: Price-Whelan A.M.; Lim P.L.; Earl N.; Starkman N.; Bradley L.; Shupe D.L.; Patil A.A.; Corrales L.; Brasseur C.E.; Nhe M.; Donath A.; Tollerud E.; Morris B.M.; Ginsburg A.; Vaher E.; Weaver B.A.; Tocknell J.; Jamieson W.; Van Kerkwijk M.H.; Robitaille T.P.; Merry B.; Bachetti M.; Gther H.M.; Aldcroft T.L.; Alvarado-Montes J.A.; Archibald A.M.; Bi A.; Bapat S.; Barentsen G.; Baz J.; Biswas M.; Boquien M.; Burke D.J.; Cara D.; Cara M.; Conroy K.E.; Conseil S.; Craig M.W.; Cross R.M.; Cruz K.L.; D'Eugenio F.; Dencheva N.; Devillepoix H.A.R.; Dietrich J.P.; Eigenbrot A.D.; Erben T.; Ferreira L.; Foreman-Mackey D.; Fox R.; Freij N.; Garg S.; Geda R.; Glattly L.; Gondhalekar Y.; Gordon K.D.; Grant D.; Greenfield P.; Groener A.M.; Guest S.; Gurovich S.; Handberg R.; Hart A.; Hatfield-Dodds Z.; Homeier D.; Hosseinzadeh G.; Jenness T.; Jones C.K.; Joseph P.; Kalmbach J.B.; Karamehmetoglu E.; Ka?uszy?ski M.; Kelley M.S.P.; Kern N.; Kerzendorf W.E.; Koch E.W.; Kulumani S.; Lee A.; Ly C.; Ma Z.; MacBride C.; Maljaars J.M.; Muna D.; Murphy N.A.; Norman H.; O'Steen R.; Oman K.A.; Pacifici C.; Pascual S.; Pascual-Granado J.; Patil R.R.; Perren G.I.; Pickering T.E.; Rastogi T.; Roulston B.R.; Ryan D.F.; Rykoff E.S.; Sabater J.; Sakurikar P.; Salgado J.; Sanghi A.; Saunders N.; Savchenko V.; Schwardt L.; Seifert-Eckert M.; Shih A.Y.; Jain A.S.; Shukla G.; Sick J.; Simpson C.; Singanamalla S.; Singer L.P.; Singhal J.; Sinha M.; Sipocz B.M.; Spitler L.R.; Stansby D.; Streicher O.; umak J.; Swinbank J.D.; Taranu D.S.; Tewary N.; Tremblay G.R.; De Val-Borro M.; Van Kooten S.J.; Vasovi? Z.; Verma S.; De Miranda Cardoso J.V.; Williams P.K.G.; Wilson T.J.; Winkel B.; Wood-Vasey W.M.; Xue R.; Yoachim P.; Zhang C.; Zonca A.
source: Astrophysical Journal, Vol-935, No. 2
publisher: Institute of Physics
date: 2022-01-01
rights: All Open Access; Gold Open Access; Green Open Access
relation: ISSN: 0004637X
format: Online
language: English
type: Article
coverage: Price-Whelan A.M., Center for Computational Astrophysics, Flatiron Institute, 162 5th Avenue, New York, 10010, NY, United States; Lim P.L., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Earl N., Department of Astronomy, University of Illinois at Urbana-Champaign, 1002 W. Green Street, Urbana, 61801, IL, United States; Starkman N., David A. Dunlap Department of Astronomy & Astrophysics, University of Toronto, 50 St. George Street, Toronto, ON M5S 3H4, Canada; Bradley L., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Shupe D.L., IPAC, MC 100-22, Caltech, 1200 E. California Boulevard, Pasadena, 91125, CA, United States; Patil A.A., David A. Dunlap Department of Astronomy & Astrophysics, University of Toronto, 50 St. George Street, Toronto, ON M5S 3H4, Canada, Dunlap Institute for Astronomy & Astrophysics, University of Toronto, 50 St George Street, Toronto, ON M5S 3H4, Canada; Corrales L., University of Michigan, Department of Astronomy, 1085 S. University Avenue, Ann Arbor, 48109, MI, United States; Brasseur C.E., School of Physics and Astronomy, University of St Andrews, North Haugh, Street, Andrews, KY16 9SS, United Kingdom; Nhe M., Astroparticle Physics, TU Dortmund, Otto-Hahn-Stra 4a, Dortmund, D-44227, Germany; Donath A., Harvard-Smithsonian Center for Astrophysics, 60 Garden Street, Cambridge, 02138, MA, United States; Tollerud E., Space Telescope Science Institute, 3700 San Martin Drive, Baltimore, 21218, MD, United States; Morris B.M., Center for Space and Habitability, University of Bern, Gesellschaftsstrasse 6, Bern, 3012, Switzerland; Ginsburg A., Department of Astronomy, University of Florida, P.O. Box 112055, Gainesville, FL, United States; Vaher E., Lund Observatory, Department of Astronomy and Theoretical Physics, Lund University, Box 43, Lund, SE-22100, Sweden; Weaver B.A., NSF's National Optical-Infrared Astronomy Research Laboratory, 950 North Cherry Ave…

The asymmetric relationship between foreign direct investment, oil prices and carbon emissions: evidence from Gulf Cooperative Council economies
subject: Asymmetry; carbon emissions; F1; F3; G2; G3; green industry; sustainability
description: We investigate the asymmetric nonlinear link between foreign direct investment, oil prices, and CO2 emissions for the Gulf Cooperation Council nations, using foreign direct investment and oil price data. As foreign direct investment is positively associated with carbon emissions in the long run and oil prices have positive, significant effects on CO2 emissions, our findings support the pollution-haven hypothesis. Furthermore, these variables have an asymmetric nonlinear relationship, which corresponds to the theoretical expectations of the pollution-haven hypothesis. We also find that negative changes in foreign direct investment have positive, significant impacts on carbon emissions in the short run, implying that foreign enterprises utilize green technologies in their manufacturing processes in the short run. In the long run, however, negative changes in oil prices are positively associated with carbon emissions. These findings should help Gulf Cooperation Council economies focus on policies that encourage foreign direct investment in green rather than dirty industries in order to ensure environmental sustainability. 2022 The Author(s). This open access article is distributed under a Creative Commons Attribution (CC-BY) 4.0 license.
creator: Ashraf S.; P J.; Umar Z.
source: Cogent Economics and Finance, Vol-10, No. 1
publisher: Cogent OA
date: 2022-01-01
rights: All Open Access; Gold Open Access
relation: ISSN: 23322039
format: Online
language: English
type: Article
coverage: Ashraf S., College of Business, Abu Dhabi University, Abu Dhabi, United Arab Emirates; P J., Department of Economics, Christ University, Bangalore, India; Umar Z., College of Business, Zayed University, United Arab Emirates

The behaviour of macro and micro economic variables and the impact on systematic risk of non-banking finance companies
description: The reforms initiated by the Government of India during 1990s have brought fundamental changes in the structure and functioning of Banking and Non-Banking Institutions, their business models and the products and services offered by them. Global economic developments have altered the macro economic conditions of the respective nations and make the nations and their economies vulnerable to economic shocks in the form of systematic risk associated with their business activities. Macro-economic factors and micro economic factors have had effect on the risk level, assessing risk, measuring and managing risk has become paramount for Non-Banking financial Institutions. Individual influence of factors on the systematic risk as there is weak relationship with Beta but combined effect of factors is very positive on the systematic risk of the companies. Indian Institute of Finance.
creator: Appala Raju M.
source: Finance India, Vol-32, No. 1, pp. 121-138.
publisher: Indian Institute of Finance
date: 2018-01-01
rights: Restricted Access
relation: ISSN: 9703772
format: Online
language: English
type: Article
coverage: Appala Raju M., Christ University, Department of Management Studies, House Road, Bangalore, 560029, Karnataka, India

The behaviour of macro and micro economic variables and the impact on systematic risk of non-banking finance companies
subject: Financial Sector; Government Deficit; Inflation; Leverage; Macro Economic Factors; Systematic Risk; Systemic
description: The reforms initiated by the Indian Government during 1990 have brought in drastic changes in the financial sector functioning so as to make competitive with financial markets worldwide. The Indian financial Sector has expanded and acquired greater depth to get itself competitive with new participants in the market. The new liberal business policies introduced by the government due to financial reforms have brought in fundamental changes in the structure and functioning of Banking and Non Banking Institutions, their business models and the products and services offered by them. Global economic developments have altered the macro economic conditions of the respective nations and make the nations and their economies vulnerable to economic shocks in the form of systematic risk associated with their business activities. Macro economic factors at broader level and micro economic factors at the firm level have had effect on the risk level, assessing risk, measuring and managing risk has become paramount for banks and others Non Banking financial Institutions alike. Individual influence of factors on the systematic risk as there is weak relationship with Beta but combined effect of factors is very positive on the systematic risk of the companies.
creator: Raju M.A.
source: International Journal of Applied Business and Economic Research, Vol-14, No. 6, pp. 4345-4367.
publisher: Serials Publications
date: 2016-01-01
rights: Restricted Access
relation: ISSN: 9727302
format: Online
language: English
type: Article
coverage: Raju M.A., Department of Management Studies, Christ University, India