5 research outputs found

    A legal review on the Malaysian judges' code or ethic / Muhammad Yazid Mohamad Salim…[et al.]

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    The basic idea behind this research project paper is to identify several issues. The first one will be on the purpose of the establishment of the Judges' Code of Ethic 1994 and the problems within the 1994 Code itself which render it to be difficult in term of enforcement. Secondly, to look through the new Judges' Code of Ethic 2009 which had replaced the 1994 code, whether or not this new code had solved all the problems faced by the Judges' Code of Ethic 1994. In our findings, it was proven that the 1994 code do have several problems as well as lacuna which also can be the main cause why it has not been used or referred. Comparatively, eventhough the new 2009 Code of Ethic had covered some of these problems, the new code itself do still have problems which need to be looked into. This project paper manages to compare Malaysia Judges' Code of Ethic with the Judges' Code of Ethic from other countries such as India, Australia and United States. In order to make this particular Judges' Code of Ethic workable and implementable, we have gathered some recommendations and suggestions from people who are expert in relation to this matter. In conclusion, all the problems and lacuna identified under the 1994 and 2009 Judges' Code of Ethic need to be considered and reviewed so that we can came out with a more comprehensive and absolute Code of Ethic for the judges

    Expression of microrna-101 in formalin-fixed paraffin- embedded samples of nasopharyngeal carcinoma

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    Nasopharyngeal carcinoma (NPC) is among the five most common malignancies in Malaysia. Most NPC patients are diagnosed at late stages of the disease which complicates the clinical management of the patients. Identification of new reliable biomarker is crucial to improve early diagnosis of NPC and increase the survival rate of patients. Recent study found that microRNAs (miRNAs), particularly miR-101, were involved in the tumorigenesis of head and neck cancer where NPC samples were included in the study. This study was conducted to observe the expression of miR-101 in NPC tumour tissues and compare its consistency with previous study as a step towards finding the new biomarker for NPC. The biopsy samples were obtained from hospitals and verified histologically using hematoxylin and eosin method for tissue classification. Total RNA was extracted from NPC tissues and normal nasopharyngeal epithelium tissues. The expression of miR-101 in NPC was quantified using quantitative polymerase chain reaction (qPCR) method. The differential expression of miR-101 in NPC as compared to normal nasopharyngeal epithelium tissues was analysed using 2-ΔΔCT calculation. The significance of the differential expression was analysed using SPSS software. Five samples have been verified as NPC and three samples were normal nasopharyngeal epithelium. The differential expression calculation found that miR-101 was downregulated in NPC as compared to normal nasopharyngeal epithelium tissues, which consistent with previous study. However, the differential expression was not significant. Therefore, our finding provides a preliminary result towards embarkment of a larger and comprehensive study. © 2019 Malaysian Society for Biochemistry and Molecular Biology. All rights reserved

    Differential expression of miR-101 and miR-744 in nasopharyngeal carcinoma in Pahang state of Malaysia

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    Previous study found that microRNA-101 (miR-101) and microRNA-744 (miR-744) were deregulated in head and neck cancers and were implicated in nasopharyngeal carcinoma (NPC) carcinogenesis. Thus, this study aimed to determine the expression of miR-101 and miR-744 in NPC and analyse the utility of these microRNAs (miRNAs) as diagnostic biomarkers. Total RNA was extracted from 31 NPC and 7 non-NPC control formalin-fixed paraffin-embedded (FFPE) samples. Complementary DNA (cDNA) was synthesized from the total RNA and proceeded with quantitative real-time polymerase chain reaction. Differential expression of miR-101 and miR-744 were calculated from quantification cycle (Cq) data using 2-ΔΔCq calculation. The performance of these miRNAs were calculated using receiver operating characteristic (ROC) curve analysis. The differential expression for miR-101 and miR744 were -1.39 (p 0.05), respectively, where the deregulations were consistent with the previous report. The area under curve for miR-101, miR-744 and combination of miR-101 and miR744 were 0.654 (95 % CI: 0.465 - 0.844), 0.588 (95 % CI: 0.368 - 0.808) and 0.626 (95 % CI: 0.481 - 0.771), respectively. However, re-analysis using balanced sample size between NPC and non-NPC control group showed the value decreased to 0.653 (95 % CI: 0.347 - 0.959) for miR-101 but increased to 0.827 (95 % CI: 0.601 - 1.000) for miR-744 and 0.758 (95 % CI: 0.576 - 0.939) for the combination of miR-101 and miR-744, indicating the importance of having a balanced sample size. We have successfully determined the expression of miR-101 and miR-744 in NPC samples. We also demonstrated statistically the utility of these miRNAs as diagnostic biomarkers

    Fundamentals of Entrepreneurship ENT300 Ti'ke Freshwater Fish / Vincent Arnold Soueng... [et al.]

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    As we agreed before, all the shareholders in our company have decided the name of our company is Ti Ke Freshwater Fish. We have decided to form our business in partnership form which consists of five shareholders. Our company main activities are selling fresh and frozen tilapia and catfish. Our business located at 1234, Jalan Matang Batu 8, 93050 Kuching, Sarawak. In this business, each of the shareholders will have the responsibility to perform their own job and task that has been given. This is important for the company to gain the maximum profit thus to achieve our mission and vision. In addition, we are concern about the quality of our product and services among the organization and customers. As this business is in a partnership form, all shareholders had agreed that Vincent Arnold anak Soueng as the General Manager. The Administration Manager is Mohd Nazri bin Mahmud, Melissa Fiona anak Nelson as the Marketing Manager, Muhammad Haziq bin Othman as the Operation Manager and lastly Nur Izni Liyana binti Yusof as the Financial Manager. The General Manager is responsible to make a decision of the company, make sure all managers do their work, and make a short-term and long-term planning of the company. The Administration Manager will indicate the company’s structure and key talents. Meanwhile, the Operation Manager will control the operation of our business while the Marketing Manager is responsible in preparing the market plan that includes the target market and sales forecast. Lastly, our Financial Manager will handle all the financial such as preparing budget and financial statement for the company

    Predictive Maintenance Of Railway Transformer Oil Based On Periodic Content Analysis

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    The high frequency of operation of commuter trains, due to passenger demand as well as the selection of railway as the mode of daily transportation for commuting on weekdays, increases the usage of on-board power, especially for a train’s traction system. As maintenance is rarely performed on transformer oil, it deteriorates and negatively affects transformer performance, increases heat, and may damage the transformer as well. This will result in significantly costly maintenance expenses for train operators. Therefore, this paper proposes a predictive maintenance schedule for transformer oil. The recommendations are based upon an analysis of transformer oil contents and its properties over a 90-month period of operation. A linear correlation between the properties of the oil and the train’s period of operation yielded a predictive maintenance schedule, primarily reclamation and filtration, for the oil at the threshold of each property. Major oil changes are to be considered when all properties are approaching their thresholds. As oil deterioration increases over time, a specific maintenance schedule was suggested. This was tested and observed on several transformer units. The content analysis of each oil is also discussed. Based on the results, this predictive maintenance schedule can be used on other trains with the same transformer model or other trains using the same type of insulating oil
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