3D Design Of Chemistry Subject at UTeM : Atom Cubic

This research highlights the development of 3D approach in learning for chemistry subject. Chemistry is one of the compulsory subjects for all undergraduate students in science fields. There are a number of methods to deliver chemistry lessons especially in classes of basic molecular formation theories. Throughout the years, various teaching methods have been adopted to assist students to better understand in learning chemistry subject. Current knowledge delivery in education is dynamically changing to more flexible and reliable. This research attempt to alternatively present new ways of learning chemistry subject by using 3D approach to encounter the problems found from the survey and interview done

Preliminary analysis of “The Effectiveness of using Virtual Reality approach in Electromagnetic Theory Subject Courseware” in MTUN.

This paper is about the study of applying a virtual reality approaches on studying electromagnetic theory. It will examine the effectiveness of this approach in the field of education as some subject need high imagination to understand. This topic has cover about the surface of 3D environment and the usage plus the impact of the virtual reality approaches in this project. It also explains about the problem that has been found until the development of the courseware with virtual reality approach. This project focus for students and lecturers guideline, and will exposed them to the used of ICT and multimedia tool in learning as one of the teaching tool. Data have been collected by using questionnaire method, which four Malaysia technical universities have been chosen to prove that Electromagnetic Theory (EMT) subject is the hardest subject in engineering field as it is the fundamental subject for future engineer. At first, 16 objectives question have been given to 10% student those have took the subject before for each universities. These questions are to test their understanding about EMT subject, as before they were using traditional approach in their study. All questions are from four subtopic in the EMT subject, which are Vector calculus, Electrostatic, Magnetostatic, and Wave application. Each subtopic contains four questions. Then analysis have been done to check the most hardest subtopic so that it will be chosen as a main subtopic that will be focus on, which 3D and Virtual reality approach will be applied on it. It is believe that the effectiveness of these approaches can be seen if the method applies in the hardest part gives positives results. Not only survey on students have been done, but also to the lecturer’s and as a same method, 10 % of survey from lecturers that teach EMT subject in all Malaysia Technical Universities have been taken, and analysis have been done, as a result most lecturers agreed if 3D and Virtual reality approaches applied in studying the subject to make students easily understand about the subject as this subject need high imagination. This paper presents a summary of the experimental assessment process and findings regarding the educational value of the multimedia courseware with three dimensional and virtual reality approaches applied

Silver Nanoclusters And Nanofractals In Natural Rubber Matrix.

Silver nanocrystals were synthesized in natural rubber matrix via UV irradiation technique. A high intensity UV light with a wavelength below 300 nm was used to reduce the silver ions in the natural rubber matrix

A noninvasive molecular approach: exploiting species-locus-specific PCR primers in defeating numts and DNA cross-contamination of cercopithecidae

The lack of a standardized, noninvasive molecular approach to studying genetic aspects of primates has made it hard for primatologists to decode the evolutionary history of these species. Researchers must optimize their own techniques to fully exploit the available samples. Lack of species-locus-specific primers also contributes to difficulties in using noninvasive genetic samples. Thus, the objectives of this study were to develop a standardized technique to collecting samples noninvasively, propose newly designed species-locus-specific primers, and optimize conditions for polymerase chain reaction (PCR) for Macaca fascicularis, M. nemestrina, Trachypithecus cristatus, and T. obscurus. Nine new species-locus-specific primers for three different loci of mitochondrial DNA, namely D-loop, cytochrome oxidase subunit I (COI), and cytochrome b, were successfully designed. These primers proved to be efficient in amplifying larger datasets (up to ~1,000 bp) of the targeted species in the optimized PCR conditions. The species-locus-specific primers are able to anneal to host DNA alone in highly contaminated feces of highlighted species. They can also offer alternatives measures in avoiding contamination related to nuclear insertion of mitochondrial pseudogenes (numts)

Enterprise architecture development and implementation in public sector: The Malaysian perspective

Enterprise Architecture (EA) is gaining the attention from the public sector as a solution to improve the function of e-Government. However, public sector agencies are having difficulties with its development and implementation due to inflexibility and complexity of the agencies’ business function and information technology structures. The objective of this paper is to identify the challenges faced by the Malaysian public sector agencies that are in development and implementation phase of EA. In order to get the holistic perspective of EA development and implementation scenario in each organisation, a Balanced Scorecard (BSC) approach is applied. A multiple case study research approach is utilized to achieve this study objective. Data were collected through interviews with the agencies EA team, general observation during the EA workshops as well as review of EA related documents. The result shows there are twenty challenges identified which is consistent with other challenges stated in literature except for talent management issue. Thus, this provides a new insight on how the public sector should implement their EA as compared to any other organisation

Critical Success Factors in Sustainable Credit Risk Model Among Manufacturing Companies in Malaysia

Credit risk is always foreseen as an analytical measurement adopted and employed by banking industry in Malaysia. It becomes critical in measuring the borrowers’ financial strength before the loan can be granted. In order to get a deep analysis, overview from different aspect is recommended. Financial and non-financial factor including the sustainable criteria are adopted in credit risk model. This pilot study was conducted to investigate critical success factor towards successful sustainable credit risk model among manufacturing companies in Malaysia. The questionnaires were design and distributed to the respondents. The result of reliability test shows that profitability is a critical factor influencing the successful of measurement of credit risk analysis compare to others factor. This study recommend that the future research explore the influence of sustainable credit risk model to different industry by consider more variables

Prevention of Nasal Mucosal Irritation in Patients Obtain Nasal Oxygen

Introduction: The provision of oxygen therapy is traditionally use a humidifier to moisten the oxygen and prevent irritation of the nasal mucosa. Recent research proves that the use of a maximum of 4 lpm nasal oxygen without using a humidifier (non humidifier) up to 8 hours does not cause irritation of the nasal mucosa and prevent colonization of bacteria in the humidifier. The purpose of this study was to determine the effectiveness of nasal oxygen administration using a non-humidifier more than 8 hours in the prevention of irritation of the nasal mucosa. Method: This study employed an analytic survey with cross-sectional study design. As many as 20 patients at inpatient wards of Port Health Center Hospital Surabaya were recruited as sample by means of consecutive sampling. Inclusion criteria was patients must not suffer from upper respiratory tract infection and do not suffer from impaired immunity. Independent variables were oxygen flow and long of oxygen therapy. Dependent variable was irritation of the nasal mucosa. Data were analyzed with descriptive statistics and tested with spearman rho correlation test. Result: The results showed that the use of oxygen up to 140 hours with 4 LPM had no effect on the nasal mucosa such as signs of irritation and complaints of discomfort in the nose area. Discussion: It can be concluded that the use of non-humidifier for a maximum of 140 hours with flow maximum of 4 lpm is effective in preventing irritation of the nasal mucosa. Further research on the effectiveness of non humidi fi ers in the elderly population and children under five years of age is needed

Dynamic Forecasting method for Shariah-compliant Share Price of Healthcare sector in Malaysian Stock Exchange

The healthcare sector is the category of stocks relating to medical and healthcare goods or services. The healthcare sector includes hospital management firms, health maintenance organizations (HMOs), biotechnology and a variety of medical products. The objective of this research paper is to forecast the performance of share price for healthcare sector in Malaysia. The research methodology implemented in this study is forecasting method using autoregressive integrated moving average (ARIMA). Data selection in this study is share price of healthcare company sector namely IHH Healthcare Berhad. Result shows the ARIMA(1,1,1) model exhibits r-squared value of 0.184 and Akaike Information Criterion (AIC) value is -1.112. Residual diagnostics shows ARIMA (1,1,1) is reliable model for forecasting of healthcare sector in Malaysia. The findings from this study will help economists to analyze the stock market performance especially in healthcare sector in Malaysia. This result also will help investors to decide appropriate decision in portfolio selection of capital investment

Weighted Moving Average of Forecasting Method for Predicting Bitcoin Share Price using High Frequency Data: A Statistical Method in Financial Cryptocurrency Technology

Bitcoin is a type of cryptocurrency that implemented decentralized digital currency method. The transaction is monitored and validated by peer-to peer system using hash programming. These transactions are verified by network nodes through the use of cryptography and recorded in a public distributed ledger called a blockchain. The objective of this study is to forecast the Bitcoin exchange rate using weighted moving average method. Data selected in this study are selected hourly from 14th December 2017 until 18th December 2017. The forecasting method is using weighted moving average. Then, the validity of the forecasting model is validated using mean absolute percentage error (MAPE) calculation. Results indicated mean absolute percentage error is 0.72%. Therefore, the moving average method is considered as reliable forecasting method for Bitcoin exchange rate. The finding of this study will help investors to make best decision regarding suitable portfolio for their investment

Autoregressive Integrated Moving Average (ARIMA) Model for Forecasting Cryptocurrency Exchange Rate in High Volatility Environment: A New Insight of Bitcoin Transaction

The cryptocurrency is a decentralized digital money. Bitcoin is a digital asset designed to work as a medium of exchange using cryptography to secure the transactions, to control the creation of additional units, and to verify the transfer of assets. The objective of this study is to forecast Bitcoin exchange rate in high volatility environment. Methodology implemented in this study is forecasting using autoregressive integrated moving average (ARIMA). This study performed autocorrelation function (ACF) and partial autocorrelation function (PACF) analysis in determining the parameter of ARIMA model. Result shows the first difference of Bitcoin exchange rate is a stationary data series. The forecast model implemented in this study is ARIMA (2, 1, 2). This model shows the value of R-squared is 0.444432. This value indicates the model explains 44.44% from all the variability of the response data around its mean. The Akaike information criterion is 13.7805. This model is considered a model with good fitness. The error analysis between forecasting value and actual data was performed and mean absolute percentage error for ex-post forecasting is 5.36%. The findings of this study are important to predict the Bitcoin exchange rate in high volatility environment. This information will help investors to predict the future exchange rate of Bitcoin and in the same time volatility need to be monitor closely. This action will help investors to gain better profit and reduce loss in investment decision