137 research outputs found

    IMPACT OF CORRUPTION ON FOREIGN DIRECT INVESTMENTS (FDI) IN MALAYSIA

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    Abstract: 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

    Racial disparities in nutritional factors and breast cancer risk

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    The current evidence on nutritional factors and breast cancer risk is largely based on studies in white women while research in women of African ancestry (AA) is severely limited. We examined racial differences in the relationship between consuming foods of animal origin (never investigated) and alcohol (limited evidence) and breast cancer risk. We also assessed racial disparities in behaviors consistent with evidence-based cancer prevention recommendations and association with breast cancer risk. Investigations were conducted in AA and white women participating in the Women’s Circle of Health Study, a case-control study based in NY and NJ. A total of 1692 AA and 1455 white women completed a questionnaire on important risk factors and a Food Frequency Questionnaire. Risk estimates and 95% confidence intervals were calculated using logistic regression adjusting for potential covariates. Racial differences in consumption levels of red meat, poultry, dairy, and alcohol as well as adherence to guidelines on body fatness and physical activity were observed in our study. We found increased risks for greater consumption of red meat and poultry and reduced risks for dairy foods in white but not in AA women. Further differences emerged in subgroup analyses. Lifetime alcohol consumption was inversely related to decreased breast cancer risk in AA women but no association between recent or lifetime drinking was observed in white women. While assessing racial differences in behaviors that are consistent with cancer prevention recommendations and breast cancer risk, we observed that recommendations pertaining to foods and drinks that promote weight gain, sodium, alcohol, and red meat intakes were suggestive of reduced breast cancer risk among subgroups of AA women. Restricting red meat intake and caloric dense foods appeared to be beneficial in sub groups of white women. A positive relationship between physical activity and disease risk was observed in AA women. Overall, this study observed racial disparities in nutritional factors and highlighted relationships warranting replication, particularly in AA women given the dearth of research in this group. Put together, the findings contribute towards filling the large gap in understanding disease-environment associations that could be modified by race to facilitate effective prevention strategies.Ph. D.Includes bibliographical referencesby Urmila Chandra

    Greenhouse gas emissions from membrane bioreactors: Analysis of a two-year survey on different MBR configurations

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    This study aimed at evaluating the nitrous oxide (N2O) emissions from membrane bioreactors (MBRs) for wastewater treatment. The study investigated the N2O emissions considering multiple influential factors over a two-year period: (i) different MBR based process configurations; (ii) wastewater composition (municipal or industrial); (iii) operational conditions (i.e. sludge retention time, carbon-to-nitrogen ratio, C/N, hydraulic retention time); (iv) membrane modules. Among the overall analysed configurations, the highest N2O emission occurred from the aerated reactors. The treatment of industrial wastewater, contaminated with salt and hydrocarbons, provided the highest N2O emission factor (EF): 16% of the influent nitrogen for the denitrification/nitrification-MBR plant. The lowest N2O emission (EF 1⁄4 0.5% of the influent nitrogen) was obtained in the biological phosphorus removal-moving bed-MBR plant likely due to an improvement in biological performances exerted by the co-presence of both suspended and attached biomass. The influent C/N ratio has been identified as a key factor affecting the N2O production. Indeed, a decrease of the C/N ratio (from 10 to 2) promoted the increase of N2O emissions in both gaseous and dissolved phases, mainly related to a decreased efficiency of the denitrification processes

    Hope Speech detection in under-resourced Kannada language

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    @article{hande-etal-kanhope, title = "Hope Speech detection in under-resourced Kannada language", author = "Hande, Adeep and Priyadharshini, Ruba and Sampath, Anbukkarasi and Thamburaj, Kingston Pal and Chandran, Prabakaran and Chakravarthi, Bharathi Raja ", journal={SN Computer Science}, publisher={Springer} }Numerous methods have been developed to monitor the spread of negativity in modern years by eliminating vulgar, offensive, and fierce comments from social media platforms. However, there are relatively lesser amounts of study that converges on embracing positivity, reinforcing supportive and reassuring content in online forums. Consequently, we propose creating an English-Kannda Hope speech dataset, KanHope and comparing several experiments to provide benchmarking for the dataset. The dataset consists of 6,176 user-generated comments in code mixed Kannada crawled from YouTube and manually labelled as bearing hope speech or not-hope speech. In addition, we introduce DC-BERT4HOPE, a dual-channel model that uses the English translation of KanHopeEDI for additional training to promote hope speech detection. The approach achieves a weighted F1-score of 0.756, bettering other models. Henceforth, KanHope aims to instigate research in Kannada while broadly promoting researchers to take a pragmatic approach towards online content that encourages, positive, and supportive

    Sol-gel fabrication of thin-film electrolyte in an oxygen generator, U.S. Patent 7,790,221

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    An electrochemical cell that receives an inlet stream of air and produces an outlet stream of a high oxygen concentration of gas. The cell is made up of a plurality of layers and preferably a porous electrolyte comprised of yttria stabilized zirconia (YSZ) that allows only oxygen ions to pass therethrough and which is covered on its sides with electrodes comprised of lanthanum strontium manganate (LSM) which in turn are coated with a layer of platinum to aid in the even distribution of the electrical current. An electrical current is passed through the electrodes to produce a voltage difference therebetween. The layers of YSZ and LSM are formed by a sol-gel process

    Significance of Static Backgrounds for Video Object Detection

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    Video Object Detectors (VID) are used in various applications such as surveillance, inspection, etc. Often in these applications there exists a spatial area of interest and a static background. The static backgrounds remain constant throughout the video sequence in the training data establishing an undesirable correlation with the moving object during training. To hide static backgrounds in the video, masking is an option. We create multiple synthetic datasets and reveal that (i) VIDs detect moving objects better if the static background in the train and test set are similar or from the same distribution.(ii) VIDs drop in performance if the static background in the train and test are different. (iii) Adding more static backgrounds during training does not make VID robust to static background changes at test time. (iv) Masking or removing static backgrounds cannot prevent VIDs from learning correlations with static backgrounds. The experiments shed light on the usage of static backgrounds for detecting dynamic objects.Mechanical Engineering | Vehicle Engineering | Cognitive Robotic

    The immediate impact of the COVID-19 pandemic on motor neuron disease services and mortality in Scotland

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    The article The immediate impact of the COVID‑19 pandemic on motor neuron disease services and mortality in Scotland, written by Stella A. Glasmacher, Juan Larraz, Arpan R. Mehta, Patrick K. A. Kearns, Michael Wong, Judith Newton, Richard Davenport, George Gorrie, Ian Morrison, Javier Carod Artal, Siddharthan Chandran, Suvankar Pal and CARE-MND Consortium, was originally published online on 5 September 2020 with Open Access under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.</p
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