991 research outputs found
Crystallographic insights into the structural aspects of thioctic acid based halogen-bond donor for the functionalization of gold nanoparticles
No full textThe synthesis and self-assembly capabilities of a new halogen-bond donor ligand, 2,3,5,6-tetrafluoro-4-iodophenyl 5-(1,2-dithiolan-3-yl)pentanoate (1), are reported. The crystal structure of ligand (1) and the formation of a cocrystal with 1,2-di(4-pyridyl)ethylene, (1)·(2), both show halogen bonds involving the 4-iodotetrafluorobenzene moiety. Ligand (1), being a self-complementary unit, forms an infinite halogen-bonded chain driven by the S...I synthon, while the cocrystal (1)·(2) self-assembles into a discrete trimeric entity driven by the N...I synthon. Ligand (1) was also successfully used to functionalize the surface of gold nanoparticles, AuNP-(1). Experiments on the dispersibility profile of AuNP-(1) demonstrated the potential of halogen bonding in facilitating the dispersion of modified NPs with halogen-bond donors in pyridine.</jats:p
Sustainable Development A Diverse Deep-Dive
No full textSustainable Development - A Diverse Deep-Dive
Editor (s):
Dr Senthil Kumar Arumugam
Dr Kavitha Desai
Prof. Biju Toms
Date of Publication: 10 April 2022
ISBN: 978-93-91413-14-9
Publisher: The Native Tribe
DOI https://doi.org/10.17605/OSF.IO/XU4P
IMPACT OF CORRUPTION ON FOREIGN DIRECT INVESTMENTS (FDI) IN MALAYSIA
No full textAbstract: his paper discusses the impact of corruption on foreign direct investment (FDI) in Malaysia. Corruption is an abuse of power to obtain personal benefits while foreign direct investment (FDI) refers to a growing investment relationship between nation, people and economic activities. In this regard, this study examines the relationship between corruption and FDI in Malaysia. Since this study need the latest information, this study uses quantitative secondary data. The data were obtained from 1995 to 2016. This study covers time series data, then the statistical test such as Unit Root Test, Vector Autoregression Estimates (VAR) Test, ARDL Method Test, Breusch-Godfrey Test, White Test Heteroskedasticity and the Ramsey Reset Test are used. The results of the study shows that when foreign direct investment in a country increases, the level of corruption in the country will increases as well. The corruption can be reduced by certain actions and strict laws.
Keywords: Corruption, Foreign Direct Investment, Malaysia.
Title: IMPACT OF CORRUPTION ON FOREIGN DIRECT INVESTMENTS (FDI) IN MALAYSIA
Author: KAVITHA CHANDRAN
International Journal of Recent Research in Commerce Economics and Management (IJRRCEM)
ISSN 2349-7807
Vol. 10, Issue 1, January 2023 - March 2023
Page No: 89-97
Paper Publications
Website: www.paperpublications.org
Published Date: 14-March-2023
DOI: https://doi.org/10.5281/zenodo.7732593
Paper Download Link (Source)
https://www.paperpublications.org/upload/book/IMPACT%20OF%20CORRUPTION-14032023-5.pdfInternational Journal of Recent Research in Commerce Economics and Management (IJRRCEM), ISSN 2349-7807, Paper Publications, Website: www.paperpublications.or
South Asians and the problem of the color line: migration, race, and identity in South Africa and the United States
No full textModern migration has resulted in the unsettlement of the identities of migrants who live, work, and struggle – for rights, opportunities, and recognition – with other populations in new national contexts. This dissertation considers the identities of South Asian migrants to South Africa and the United States, two nation-states that have been involved deeply in the creation of ideologies of race as well as regimes of racial practice. Focusing on the late 19th century to the late 20th century, I show how South Asian migrants were historically positioned within the racial hierarchies of these two societies, and how they constructed their identities in relation to racial others. I analyze contact, conflict, and cooperation between South Asians and other racial subjects in a comparative, cross-national perspective, and consider the transnational exchange of ideas that led to particular strategies of resistance. I argue that South Asian struggles in South Africa and the United States for rights and recognition resulted in a transnational articulation of modern social movements for national liberation, civil rights, and democracy.Ph. D.Includes bibliographical referencesIncludes vitaby Kavitha Ramsam
A Word Embeddings based Approach for Author Profiling: Gender and Age Prediction
No full textAuthor Profiling (AP) is a method of identifying the demographic profiles such as age, gender, location, native language and personality traits of an author by processing their written texts. The AP techniques are used in multiple applications such as literary research, marketing, forensics and security. The researchers identified various differences in the authors writing styles by analysing various datasets. The differences in writing styles are represented as stylistic features. The researchers extracted several style based features like structural, content, word, character, syntactic, readability and semantic features to recognize the profiles of the authors. Traditionally, the researchers extracted various feature combinations for differentiating the profiles of authors. Several existing works are used Machine Learning (ML) methods for predicting the author characteristics of a new author. The existing works achieved good accuracies for predicting the author characteristics by considering the both stylistic features and ML algorithms combination. Recently, in advent of Deep Learning (DL) techniques the researchers are proposed approaches to author profiling by using these techniques. Few researchers identified that the deep learning techniques performance is good for author profiles prediction than the results of style based features. In this work, a word embeddings based approach is proposed for gender and age prediction. In this approach, the experiment conducted with different word embedding models such as Word2Vec, GloVe, FastText and BERT for generating word vectors for words. The documents are converted as vectors by using the document representation technique which uses the word embeddings of words. The document vectors are transferred to three different ML algorithms such as Extreme Gradient Boosting (XGBoost), Random Forest (RF) and Logistic Regression (LR) for generating the trained model. This model is used for predicating the accuracy of age and gender prediction. The XGBoost classifier with word embeddings of BERT achieved good accuracies for age and gender prediction than other word embeddings and ML algorithms. The experiment implemented on PAN 2014 competition Reviews dataset for age and gender prediction. The proposed approach attained best accuracies for predicting age and gender than the performances of various existing approaches proposed for AP
Optimization of pulsed electric field parameters for mango nectar processing using response surface methodology
No full textExistence of solutions of fractional integrodifferential system with nonlocal conditions
No full textIn the present paper we prove the existence and uniqueness of local solutions of a nonlocal Cauchy problem for a class of fractional integrodifferential equation. The results are obtained by using the theory of resolvent operators, the fractional powers of operators, fixed point techniques, and the Gelfand-Shilov principle
Decisive evaluation in distance education: a case study of the certificate in computing at IGNOU, India
No full textEvaluation of a course or a programme not only demonstrates its strengths, but also points out its inherent shortcomings. This is why programme evaluation constitutes an important function in an open and distance learning system. This paper presents the results of an evaluation of a computer science programme taught in distance learning mode by the Indira Gandhi National Open University (IGNOU), India. This six-month programme for the Certificate in Computing (CIC) was launched in 1994. The courses intend to give basic awareness and skill about computers. Feedback was obtained from the students currently pursuing the programme, from those who had successfully completed the programme and from the counsellors and experts teaching the courses. The evaluation presented here is focussed on two aspects of the programmeone the administration of distance education and another course content. The data was gathered through feedback questionnaires sent to identify study centres and through face-to-face interviews of the CIC students. The survey findings were coded and analyzed using MS-Excel. This paper also looks at the students\u27 perception of the content, value and quality of the course, and the effectiveness of counselling and practical methods. Our study will be useful to the researchers and practitioners in the field of computer literacy and awareness programmes through distance and open learning environment
Effectiveness of classic versions of options pricing models in recent waves of financial upheavals
No full textThis paper attempts to determine the best alternative model of options pricing with the capacity to control both the level of skewness and kurtosis. It aims to replicate the effectiveness of classic stochastic and deterministic option pricing models and also establish a correlation between the underlying stock returns and their volatility. The paper follows a structural approach for analysing the Hull-White model (with two stochastic versions: non-related and correlated) with respect to the Black-Scholes model, which is a benchmark model. The focus is on fabricating such a model for predicting and protecting the market options price during uncertain financial upheavals. The suggested models have been tested in extreme conditions to determine effectiveness. Furthermore, the paper also examines the hedging effectiveness of hypothecated models
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