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Search Results: 1 - 10 of 58 matches for " Mazlina Mohtar "
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Determinant of Low Birth Weight Infants: A Matched Case Control Study  [PDF]
Rosnah Sutan, Mazlina Mohtar, Aimi Nazri Mahat, Azmi Mohd Tamil
Open Journal of Preventive Medicine (OJPM) , 2014, DOI: 10.4236/ojpm.2014.43013
Abstract:

Background: Low birth weight (LBW) is a well-known factor associated with neonatal mortality and has contributed to a range of poor health outcomes. Thus, the objective of this study was to determine factors associated with LBW infants. Methods: A matched case control study was conducted in Universiti Kebangsaan Malaysia. Data of deliveries were obtained from Total Hospital Information System and medical records. All registered deliveries from January to June 2012 were used as sample populations. There were 180 pairs of cases and controls matched on babies’ gender. Fourteen variables were analyzed: maternal age, ethnicity, gravida, parity, gestational age, maternal booking weight, height and body mass index (BMI), history of low birth weight infants, birth interval, booking hemoglobin levels, hypertension, diabetes mellitus and mode of delivery. Results: Younger mother (t = 6.947, p < 0.001), lower booking BMI (t = 3.067, p = 0.002), prematurity (t = 12.324, p < 0.001), history of LBW infants (OR = 3.0, p = 0.001), LSCS (OR = 0.06, p = 0.001) and current hypertension (OR = 3.1, p = 0.008) were found significant in bivariate analysis. Multivariable conditional logistic regression identified younger maternal age (AOR = 2.9, 95% CI = 1.86 -4.51, p < 0.001), previous history of LBW infants (AOR = 3.7, 95% CI = 1.03 -13.58, p = 0.045), prematurity (AOR = 2.4, 95% CI = 1.79 -3.26, p < 0.001), and current hypertension (AOR = 4.5, 95% CI = 1.06 -19.22, p = 0.041) as significant factors associated with LBW infants. Conclusion: Younger maternal age, history of LBW infants, prematurity and hypertension have been recognized as predictors of LBW infants. The importance of pre-pregnancy screening, early antenatal booking and proper identification of high risk-mother needs to be strengthened and enforced in effort to reduce incidence of LBW infants.

Prime Energy Challenges for Operating Power Plants in the GCC  [PDF]
Mohamed Darwish, Rabi Mohtar
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.51011
Abstract:

There is a false notion of existing available, abundant, and long lasting fuel energy in the Gulf Cooperation Council (GCC) Countries; with continual income return from its exports. This is not true as the sustainability of this income is questionable. Energy problems started to appear, and can be intensified in coming years due to continuous growth of energy demands and consumptions. The demands already consume all produced Natural Gas (NG) in all GCC, except Qatar; and the NG is the needed fuel for Electric Power (EP) production. These countries have to import NG to run their EP plants. Fuel oil production can be locally consumed within two to three decades if the current rate of consumed energy prevails. The returns from selling the oil and natural gas are the main income to most of the GCC. While NG and oil can be used in EP plants, NG is cheaper, cleaner, and has less negative effects on the environment than fuel oil. Moreover, oil has much better usage than being burned in steam generators of steam power plants or combustion chambers of gas turbines. Introducing renewable energy or nuclear energy may be a necessity for the GCC to keep the flow of their main income from exporting oil. This paper reviews the GCC productions and consumptions of the prime energy (fuel oil and NG) and their role in electric power production. The paper shows that, NG should be the only fossil fuel used to run the power plants in the GCC. It also shows that the all GCC except Qatar, have to import NG. They should diversify the prime energy used in power plants; and consider alternative energy such as nuclear and renewable energy, (solar and wind) energy.

Toward Implementing HH the Amir Declaration of 2% Electricity Generation by Solar Energy in 2020  [PDF]
Mohamed Darwish, Ashraf Hassan, Rabi Mohtar
Energy and Power Engineering (EPE) , 2013, DOI: 10.4236/epe.2013.53024
Abstract:

The utility solar power plants were reviewed and classified by two basic groups: direct thermal concentrating solar power (CSP) and photovoltaic (PV). CSP as Parabolic Trough Collector (PTC) of 100 MW solar power plants (SPP) is suggested and suitable to provide solar thermal power for Qatar. Although, LFC had enough experience for small projects, it is still need to work in large scale plant such as 100 MW and couple with multi effect distillation (MED) to confirm costs.

Dependence on Creativity Characteristics as Observed during the Implementation of Laboratory Activities  [PDF]
Lilia Ellany Mohtar, Lilia Halim, Seth Sulaiman
Creative Education (CE) , 2015, DOI: 10.4236/ce.2015.611115
Abstract: A person’s creativity can be elicited through observations made upon his/her behaviour and personality characteristics which are in turn termed as creativity characteristics. Physics Practical Work (PPW) is a form of instruction which is intended to foster a creative culture in schools in which large numbers of students can be engaged in an environment where creativity flourishes. However, there are criticisms leveled against the effectiveness of PPW in developing creativity among students as indicated by the emergence of the creativity characteristics. Besides being involved in PPW as a requirement of the course SPN3231, 12 respondents of the study comprising final year undergraduate physics education students participated in a Physics Innovative Project (PIP) whereby they had to modify or devise an alternative method(s) for teaching physics topics which they had earlier conducted in PPW. Seven dominant creativity characteristics constructs were incorporated into a well-validated Structured Interview Checklist (27 items) and an Observation Checklist (37 items). All data were analysed using the Interactive Qualitative Analysis Model by Miles and Huberman (1994). Results of the study indicated that PIP fostered frequent emergence of creativity characteristics much better as compared to PPW.
THE EFFECTIVENESS OF CUSTOMER SERVICES IN THE ELECTRICAL AND ENERGY INDUSTRY
Rabiah ABDUL WAHAB,Mazlina SUHAIMI
Revista de Administratie Publica si Politici Sociale , 2012,
Abstract: The objectives of this paper are to determine the service quality perceptions and the effectiveness of electronic services and the relationship between training and competencies. Two data collection methods which are questionnaire and observation were used to collect the data for this study. A total of 80 sets of questionnaires were distributed among the users of such services in Melaka, Malaysia. The study indicates that there is a significant positive relationship between training requirements and effectiveness. It can be implied that training of employees in the electric and energy company is a necessity for them to increase their effectiveness. Future work suggested that customer service survey should be conducted among all government and private firms especially Government lead Companies (GLC) so that they can improve their customer services.
An Evaluation of Lecturers Perceptions Towards Research
Izah Mohd Tahir,Nor Mazlina Abu Bakar
The Social Sciences , 2013,
Abstract: Teaching and research are two main requirements in the job descriptions of university lecturers. Other requirements in the job descriptions include organizing seminars/conferences, presenting papers at national and international levels, publishing papers/articles in refereed journals, publishing books and other scholarly activities. Through research one could acquire knowledge and disseminate to students as well as peers, which finally contribute to building competitive advantage to the university concerned. The current study reports findings from a survey, which examined the perceptions of university lecturers towards research. The findings indicate that research is essential to professional development motivated by getting promotion and salary increment. They also, shed some light on the main barrier for not doing research among university lecturers-poor statistical and econometric skills. Implications and suggestions for future research are also, provided.
Business students’ beliefs in learning mathematics
Izah Mohd. Tahir,Nor Mazlina Abu Bakar
Jurnal Kemanusiaan , 2007,
Abstract: This study explores the students' beliefs in learning mathematics in a university mathematics class. Complete data were collected from three hundred and seventy six students in three higher learning institutions enrolled in the business mathematics subject. The reliability coefficient alpha was 0.80, indicating a high degree of internal consistency for group analyses. A maximum likelihood factor analysis with a varimax rotation yielded four factors: teacher’s role, value, competency and learning. The results indicated that business students appeared to hold positive beliefs in learning mathematics. In addition, teacher’s role was the most important factor, followed by value, learning and competency. The results also indicated that there were significant differences in means between students’ beliefs based on institutions and mathematics grade. However, our results showed no significant differences in means between beliefs based on gender, secondary education and students’ major. The findings of this study could assist the relevant authorities to develop strategic planning to enhance learning mathematics among Malay students. In addition, learning mathematics does not only build students’ ability to think analytically but also develop skills of reasoning and problem solving. These are some of the important elements in environmental management which are invaluable assets to the community.
Accounting Students’ Perception on Pursuing Professional Examination
Mazlina Mustapha,Mohammad Hasmawi Abu Hassan
International Journal of Education , 2012, DOI: 10.5296/ije.v4i4.1546
Abstract: Prior studies indicate that people’s perception have an important influence on their career decisions. This study explores the accounting students’ perceptions on professional examination and the factors that influence their decisions to take the exam. Questionnaires were distributed to final year accounting students of a public university in Malaysia. About 103 questionnaires were completed and usable for the purpose of the study. Regression analysis was employed to analyse the data. The results indicate that about 70% of the respondents plan to work immediately after graduating, and only about 28% of the respondents really have the intention to pursue professional qualification. Among others, the findings reveal that the job security and stability, and opportunities for advancement as well as the students’ perception towards the profession are the three main variables found to be significant in influencing the accounting students’ decision to pursue professional examination. The results of the study appear to suggest that the educators and universities must play their role to positively influence and motivate the students to pursue professional examination. The favourable information about the profession may attract the potential students to take the challenge.
Concurrent Peripheral Pathologies and Complex Regional Pain Syndrome Type 1 as Contributors to Acute Post-Stroke Shoulder Pain: A Case Report
Seyed Majid Akhavan Hejazi,Mazlina Mazlan
Acta Medica Iranica , 2012,
Abstract: Post-stroke shoulder pain is associated with either a peripheral or central pathology. However, most of the time, it is challenging to establish a cause-and-effect relationship between the suggested pathology and shoulder pain reported. We report a 66 year-old man who developed a right hemiplegic shoulder pain two months post stroke with initial investigations suggestive of peripheral pathologies. Pharmacological and non-pharmacological treatment did not improve his shoulder pain. Later he developed complex regional pain syndrome (CRPS) of the right hand and the initial shoulder pain subsequently relieved following resolution of the CRPS.
Applying Multiple Linear Regression and Neural Network to Predict Bank Performance
Nor Mazlina Abu Bakar,Izah Mohd Tahir
International Business Research , 2009, DOI: 10.5539/ibr.v2n4p176
Abstract: Globalization and technological advancement has created a highly competitive market in the banking and finance industry. Performance of the industry depends heavily on the accuracy of the decisions made at managerial level. This study uses multiple linear regression technique and feed forward artificial neural network in predicting bank performance. The study aims to predict bank performance using multiple linear regression and neural network. The study then evaluates the performance of the two techniques with a goal to find a powerful tool in predicting the bank performance. Data of thirteen banks for the period 2001-2006 was used in the study. ROA was used as a measure of bank performance, and hence is a dependent variable for the multiple linear regressions. Seven variables including liquidity, credit risk, cost to income ratio, size, concentration ratio, inflation and GDP were used as independent variables. Under supervised learning, the dependent variable, ROA was used as the target output for the artificial neural network. Seven inputs corresponding to seven predictor variables were used for pattern recognition at the training phase. Experimental results from the multiple linear regression show that two variables: credit risk and cost to income ratio are significant in determining the bank performance. Two variables were found to explain about 60.9 percent of the total variation in the data with a mean square error (MSE) of 0.330. The artificial neural network was found to give optimal results by using thirteen hidden neurons. Testing results show that the seven inputs explain about 66.9 percent of the total variation in the data with a very low MSE of 0.00687. Performance of both methods is measured by mean square prediction error (MSPR) at the validation stage. The MSPR value for neural network is lower than the MPSR value for multiple linear regression (0.0061 against 0.6190). The study concludes that artificial neural network is the more powerful tool in predicting bank performance.
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