90 research outputs found
Factors limiting the integration of Information Technology with Public Administration to create public value
Full text linkEmerging information and communication technologies (ICT), such as the internet, have increased citizen participation and responsive leadership demand. Simultaneously, the government evolved toward a market model to reduce cost but failed to maintain its role as a guarantor of public values. The market model created a public-private partnership that limited the public managers' role, thereby reducing their accountability and control over the public value aspect of public service delivery. For example, Los Angeles Unified School District (LAUSD) public managers sub-contract software development to reduce cost but have limited oversight in delivering the desired public service. Though scholars advocate for including the public value in public procurement, governing through collaboration, incorporating ICT within public administration, and using facilitative leadership in the delivery of public service, the guidelines for practical applications are emergent. This research explores how LAUSD leaders can collaborate with sub-contracted vendors to strengthen partnerships and thereby improve public value in software development. The in-depth qualitative case study will provide a deeper understanding of the various dimensions of public value and collaborative public management when partnering with sub-contracted software vendors
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
Water Pollution In India: An Overview
Full text linkMost ancient civilizations grew along the banks of rivers. Even today, millions of people all over the world live on the banks of rivers and depend on them for their survival. All of us have seen a river large or small either flowing through our town or somewhere else. Rivers are nothing more than surface water flowing down from a higher altitude to a lower altitude due to the pull of gravity. One river might have its source in a glacier another in a spring or a lake. Rivers carry dissolved minerals organic compounds, small grains of sand gravel and other material as they flow downstream. Rivers begin as small streams which grow wider as smaller streams and rivers join them along their course across the land. Eventually they flow into seas or oceans. Unfortunately most of the world’s major rivers are heavily polluted. The pollution of environment is the gift of the Industrial revolution prior to this the agrarian cultures created significant environment deforestation and overgrazing. The Environmental degradation is a byproduct of modern civilization. Water Pollution is a major global problem which requires on going evaluation and revision of water resource policy at all levels. It has been suggested that water pollution is the leading worldwide cause of deaths and diseases and that it accounts for the deaths of more than 14,000 people daily. An estimated 580 people in India die of water pollution related illness every day
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
Full text linkAuthor 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
Antagonistic Efficiency of Aspergillus giganteus as a Biocontrol Agent against Aflatoxigenic Aspergillus flavus Infecting Maize
No full textAspergillus flavus is a fungal pathogen which infects maize crops and produces aflatoxin thus bringing
about huge losses in crop production. Developing biocontrol agents against Aspergillus flavus has been
the best strategy for the control of contamination in the fields. The aim of this study was to evaluate
the biocontrol potential of Aspergillus giganteus against A. flavus by in vitro coculture studies. The
effect of antagonism was studied by varying the carbon and nitrogen sources and under different
interacting conditions of pH, temperature and water activities. The conidia production by A. flavus
during coculture conditions favourable for antagonism was also assessed. A significantly notable growth
inhibition of about 86.1% was brought about by A. giganteus in the coculture, which surrounded the
mycelia of pathogenic A. flavus, arresting its growth. A maximum inhibition of 86.1% was observed
when sucrose was used as the carbon source and a significantly higher inhibition of 90.93% was seen
when beef extract was used as the nitrogen source. Among the different temperatures tested, the
highest inhibition was observed at 30°C which was 87.43%. An increasing trend in the inhibitions were
seen with decrease in pH and water activity (aw), where, the highest inhibition was 89.75% for pH 6.0
and 94.03% for aw 0.846. Drastic reductions in conidial number and halting of sclerotia production was
observed in coculture clearly suggesting that A. giganteus will serve to be a potent and promising
biocontrol strain under different environmental conditions
Development and characterization of gelatin-based herbal hydrogels for managing infected wounds
Full text link59-69The present study is aimed at evaluating the antioxidant and antimicrobial properties of aqueous extracts of the plants Moringa olifera (drumstick tree or murungai), Sesbania grandiflora (vegetable hummingbird or agati), Basella alba (malabar spinach or pasalai), and then developing herbal hydrogel with gelatin to improve its pharmacological properties and to use it as a primary dressing for managing infected wounds. The aqueous extracts of murungai, agati, pasalai and the herbal hydrogels has been tested in vitro against wound infecting microrganisms by well-diffusion method and micro-dilution method. Both plant extracts and herbal hydrogel are found to inhibit the growth of Gram positive, Gram negative and polymicrobial cultures. According to EN13726, all the three herbal hydrogels manage the simulated exudates effectively. Hence, the hydrogels developed in the present study could be used to manage infection and also moderately exudating wounds
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
Genome-scale analysis of in vivo spatiotemporal promoter activity in Caenorhabditis elegans
No full textDifferential regulation of gene expression is essential for cell fate specification in metazoans. Characterizing the transcriptional activity of gene promoters, in time and in space, is therefore a critical step toward understanding complex biological systems. Here we present an in vivo spatiotemporal analysis for ∼900 predicted C. elegans promoters (∼5% of the predicted protein-coding genes), each driving the expression of green fluorescent protein (GFP). Using a flow-cytometer adapted for nematode profiling, we generated 'chronograms', two-dimensional representations of fluorescence intensity along the body axis and throughout development from early larvae to adults. Automated comparison and clustering of the obtained in vivo expression patterns show that genes coexpressed in space and time tend to belong to common functional categories. Moreover, integration of this data set with C. elegans protein-protein interactome data sets enables prediction of anatomical and temporal interaction territories between protein partners. [ABSTRACT FROM AUTHOR]Peer reviewedfinal article publishe
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