95 research outputs found
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
Development of bioformulations using plant extracts for the control of dengue vector, Aedes aegypti
No full textDengue fever is a life-threatening illness in humans caused by the dengue virus belonging to Flaviviridae, affecting mainly in tropical and subtropical countries. The spread of this disease is through the dengue vector Aedes aegypti. Development of biodegradable, environmentally safe, low-cost larvicides is essential to overcome the resurgence effects of chemical insecticides. The present study included the development of bioformulations from larvicidal polar solvent extracts of the plant leaves. The solvents used for the extractions were ethyl acetate for Aloe vera (A), ethanol for Carica papaya (B), and methanol for Parthenium hysterophorous (C). Bioformulations in different combinations like A, B, C, A+B, B+C, C+A, and A+B+C with the concentrations of 50ppm, 100ppm, 150ppm, 200ppm, 250ppm and 300ppm were tested against the IVth instar larvae of Aedes aegypti and the results were recorded for every 24h 48h and 72h . The bioformulation extracts B+C (300ppm) showed 90 percent mortality of larvae after 72 h of treatment. It was concluded that the larvae\u27s mortality was caused by the presence of bioactive compounds of B+C extracts. This formulation can be considered an effective biopesticide for the dengue vector Ae. aegypti IVth instar larvae
Fabrication of microbial fuel cells with nanoelectrodes for enhanced bioenergy production
No full textOptimization of Biosurfactant Production using Chrysene Degrading Bacteria Isolated from Marine Water
No full textBiosurfactants were found to be a suitable candidate for environment clean-up and as an alternative to conventional treatment systems. In the present study, a polyaromatic hydrocarbon degrading organism Bacillus halotolerans was screened for its ability to produce biosurfactant during hydrocarbon degradation. The bio-surfactant activity of the organism was screened by using various methods like oil spreading technique, emulsification assay, foam height analysis and parafilm-M test. The design expert software was used to optimize the suitable conditions for the production of biosurfactants. The optimum conditions were determined as pH 6, Chrysene-100 ppm, nitrogen source -1000 ppm and at 144 hrs using the design of experiments. The organism showed good oil degradation capacity and maximum growth was achieved in 6 days. Biosurfactant obtained from the biodegradation medium was confirmed to be lipopeptide using TLC, FTIR and GCMS
Recent progress in seaweed valorization for sustainable applications
No full textAbstract Seaweed, an abundant renewable marine biomass, has gained potential applications in agriculture and the environment by providing sustainable solutions through biocompatible and eco-friendly materials. This review focuses on the valorisation of seaweed and its applications in different fields, such as food, agriculture, medicine, and ecological sustainability. Fertilisers, biofilms/membranes, and hydrogels/bio-gels derived from seaweed substantially play a significant role in bioengineering, agriculture, environmental restoration, and ergonomics because of their diversity, richness, and versatility. Seaweed has a dual purpose as a fertiliser and a soil conditioner, providing stability and productivity to the soil for plant growth. It acts as a natural bolster for the coastal ecosystem, a carbon capture sink, and mitigates the influence of climate change, rendering it vital for sustainable practices. Moreover, its application in bioplastics, biofuels, and the synthesis of nanoparticles underscores its potential to convert industrial processes into more eco-friendly options. Additionally, its unique and nutritional properties have favoured ingredients, shaping the future of functional foods and advancements in pharmaceutical solutions
Comparison of membrane immobilized zero-valent iron nanoparticles for RED ME4BL azodye degradation
No full textTextile industries are hailed as one of the major environmental polluters in the world, owing to their release of undesirable dye effluents. Synthetic dyes do not adhere to fabric firmly and are released into the aquatic ecosystem as effluent. Consequently, the consistent release of wastewater from numerous textile industries without previous treatment has detrimental effects on the ecosystem and human health. Treatment methods currently being used fail to degrade the dye effluents and have their own shortcomings. Immobilized nanoparticles have been extensively studied for dye remediation because of their many advantages over conventional methods. The present study aimed to compare the efficiency of two different carrier matrices [namely Poly(vinylidene fluoride) and Polyurethane] for iron nanoparticle and their decolorization activity on an azo dye (RED ME4BL). Scanning Electron Microscopy was carried out to show the deposition of iron nanoparticles on the membrane. The reaction kinetics of the bare nanoparticles were compared with that of the immobilized nanoparticles, and all were found to follow pseudo-second-order kinetics. Polyurethane immobilized iron nanoparticles showed a significant degradation of RED ME4bl than the Poly(vinylidene fluoride) immobilized iron and bare nanoparticles. This paper also demonstrates a relatively newer method for nanoparticle immobilisation using the synthetic polyurethane form.
Studies on Functional Properties of Whey Protein and Development of High Protein Product
No full textThis Dissertation / Report is the outcome of investigation carried out by the creator(s) / author(s) at the department/division of Central Food Technological Research Institute (CFTRI), Mysore mentioned below in this page
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