Yap W.H.,Taylors University |
Lim Y.M.,University Tunku Abdul Rahman
Biochemistry Research International | Year: 2015
Chronic inflammation drives the development of various pathological diseases such as rheumatoid arthritis, atherosclerosis, multiple sclerosis, and cancer. The arachidonic acid pathway represents one of the major mechanisms for inflammation. Prostaglandins (PGs) are lipid products generated from arachidonic acid by the action of cyclooxygenase (COX) enzymes and their activity is blocked by nonsteroidal anti-inflammatory drugs (NSAIDS). The use of natural compounds in regulation of COX activity/prostaglandins production is receiving increasing attention. In Mediterranean diet, olive oil and table olives contain significant dietary sources of maslinic acid. Maslinic acid is arising as a safe and novel natural pentacyclic triterpene which has protective effects against chronic inflammatory diseases in various in vivo and in vitro experimental models. Understanding the anti-inflammatory mechanism of maslinic acid is crucial for its development as a potential dietary nutraceutical. This review focuses on the mechanistic action of maslinic acid in regulating the inflammation pathways through modulation of the arachidonic acid metabolism including the nuclear factor-kappa B (NF-B)/COX-2 expression, upstream protein kinase signaling, and phospholipase A2 enzyme activity. Further investigations may provide insight into the mechanism of maslinic acid in regulating the molecular targets and their associated pathways in response to specific inflammatory stimuli. © 2015 Wei Hsum Yap and Yang Mooi Lim.
Al-Atabi M.,Taylors University |
Deboer J.,Massachusetts Institute of Technology
Technovation | Year: 2014
Entrepreneurship as a skill and process is increasingly being taught as a part of various university educational programmes. The literature is divided on the effectiveness of traditional methods to teach entrepreneurship. We consider the achievement of students learning outcomes in entrepreneurship course that is offered as a Massive Open Online Course (MOOC). The results suggest that the MOOC is a suitable platform to teach entrepreneurship as it provide tools to enable students collaborative learning as well as improve individuals affective key entrepreneurial aspects such as such opportunity recognition and resource acquisition. © 2014 Elsevier Ltd.
Hosseini Fouladi M.,Taylors University |
Ayub M.,National University of Malaysia |
Jailani Mohd Nor M.,National University of Malaysia
Applied Acoustics | Year: 2011
Coir fiber from coconut husk is an important agricultural waste in Malaysia. Acoustic absorption coefficient of the fiber as a porous material is studied in this paper. Two types of fiber are investigated, fresh from wet market and industrial prepared mixed with binder. Moreover two analytical models, namely; Delany-Bazley and Biot-Allard are used for analysis. Experimental measurements in impedance tube are conducted to validate the analytical outcomes. Results show that fresh coir fiber has an average absorption coefficient of 0.8 at f > 1360 Hz and 20 mm thickness. Increasing the thickness is improved the sound absorption in lower frequencies, having the same average at f > 578 Hz and 45 mm thickness. Delany-Bazley technique can be used for both types of fiber while Biot-Allard method is compensated for the industrial prepared fiber considering the binder additive. This form generally shows poor acoustical absorption in low frequencies. Inevitably, fiber has to be mixed with additives in commercial use to enhance its characteristics such as stiffness, unti-fungus and flammability. Hence other approaches such as adding air gap or perforated plate should be used to improve the acoustical properties of industrial treated coir fiber. © 2010 Elsevier Ltd. All rights reserved.
Esmaeilzadeh P.,Florida International University |
Sambasivan M.,Taylors University |
Kumar N.,University of Malaysia, Kelantan |
Nezakati H.,University Putra Malaysia
International Journal of Medical Informatics | Year: 2015
Objective: The basic objective of this research is to study the antecedents and outcomes of professional autonomy which is a central construct that affects physicians' intention to adopt clinical decision support systems (CDSS). The antecedents are physicians' attitude toward knowledge sharing and interactivity perception (about CDSS) and the outcomes are performance expectancy and intention to adopt CDSS. Besides, we include (1) the antecedents of attitude toward knowledge sharing-subjective norms, social factors and OCB (helping behavior) and (2) roles of physicians' involvement in decision making, computer self-efficacy and effort expectancy in our framework. Methods: Data from a stratified sample of 335 Malaysian physicians working in 12 public and private hospitals in Malaysia were collected to test the hypotheses using Structural Equation Modeling (SEM). Results: The important findings of our research are: (1) factors such as perceived threat to professional autonomy, performance expectancy, and physicians' involvement in making decision about CDSS have significant impact on physicians' intention to adopt CDSS; (2) physicians' attitude toward knowledge sharing, interactivity perception and computer self-efficacy of physicians play a crucial role in influencing their perceived threat to professional autonomy; and (3) social network, shared goals and OCB (helping behavior) impact physicians' attitude toward knowledge sharing. Conclusions: The findings provide a comprehensive understanding of the factors that influence physicians' intention to adopt CDSS in a developing country. The results can help hospital managers manage CDSS implementation in an effective manner. © 2015 Elsevier Ireland Ltd.
Wong R.S.Y.,International Medical University |
Wong R.S.Y.,Taylors University |
Radhakrishnan A.K.,International Medical University
Nutrition Reviews | Year: 2012
The vitamin E family consists of eight isomers known as alpha-, beta-, gamma-, and delta-tocopherols and alpha-, beta-, gamma-, and delta-tocotrienols. Numerous studies focused on the health benefits of these isomers have been performed since the discovery of vitamin E in 1922. Recent discoveries on the potential therapeutic applications of tocotrienols have revolutionized vitamin E research. Nevertheless, despite the abundance of literature, only 1% of vitamin E research has been conducted on tocotrienols. Many new advances suggest that the use of tocotrienols for health improvement or therapeutic purposes is promising. Although the mechanisms of action of tocotrienols in certain disease conditions have been explored, more detailed investigations into the fundamentals of the health-promoting effects of these molecules must be elucidated before they can be recommended for health improvement or for the treatment or prevention of disease. Furthermore, many of the studies on the effects of tocotrienols have been carried out using cell lines and animal models. The effects in humans must be well established before tocotrienols are used as therapeutic agents in various disease conditions, hence the need for more evidence-based human clinical trials. © 2012 International Life Sciences Institute.
Khong K.W.,Taylors University |
Onyemeh N.C.,University of Nottingham Malaysia Campus |
Chong A.Y.-L.,The University of Nottingham Ningbo, China
Expert Systems with Applications | Year: 2013
This paper presents a stochastic model that identifies network effect and customer orientation empower- ment as strong antecedents of trust worthiness and trust in social media network environment. As Trust is emerging as a critical influencer of consumer behavior in organizations, social media has become the facilitator or the enabler of this influence. This paper aims to explore and examine the relation ships amongst the antecedents of trust in the context of the social media network environment via Bayesian estimati on and testing of the structural equation model. In facilitating the estimation of the stochastic model, a survey was conducted on 255 social media users. A series of statistical analyses were conducted prior to the estimation using Bayesian Markov Chain Monte Carlo (MCMC). Results showed that network effect and customer orientation empowerment were significant predictors of trustworthiness and trust. Bayesian MCMC results confirmed that the findings were consistent with the literature. © 2013 Elsevier Ltd. All rights reserved.
Ming L.J.,Taylors University |
Yin A.C.Y.,Taylors University
Natural Product Communications | Year: 2013
Glycyrrhizic acid (GA), belonging to a class of triterpenes, is a conjugate of two molecules, namely glucuronic acid and glycyrrhetinic acid. It is naturally extracted from the roots of licorice plants. With its more common uses in the confectionery and cosmetics industry, GA extends its applications as a herbal medicine for a wide range of ailments. At low appropriate doses, anti-inflammatory, anti-diabetic, antioxidant, anti-tumor, antimicrobial and anti-viral properties have been reported by researchers worldwide. This review summarizes the effects of GA on metabolic syndrome, tumorigenesis, microbes and viruses, oxidative stress, and inflammation, as well as the reported side effects of the drug.
Al-Atabi M.,Taylors University
Journal of Fluids Engineering, Transactions of the ASME | Year: 2011
Mixing is an important process in various industries. Different designs have been suggested in order to reduce the local shear rates in mechanically stirred mixing vessels, also known as continuously stirred tank reactors, in order to account for the mixing requirements for sensitive materials such as biological materials and biofluids where the high shear rate may damage the sensitive materials. This paper reports on the development of a continuously stirred tank reactor that can be used to achieve a variety of mixing assignments. This mixing is achieved using synthetic jets. The mixing performance was assessed using flow visualization techniques. The effects of fluid viscosity on mixing time were investigated. The results are very encouraging and are suggestive that the use of synthetic jets in mixing is a viable alternative to the conventional methods of mixing in vessels. © 2011 American Society of Mechanical Engineers.
Faizal M.,Taylors University |
Faizal M.,University of Malaya |
Saidur R.,University of Malaya |
Mekhilef S.,University of Malaya |
Alim M.A.,University of Malaya
Energy Conversion and Management | Year: 2013
For a solar thermal system, increasing the heat transfer area can increase the output temperature of the system. However, this approach leads to a bigger and bulkier collector. It will then increase the cost and energy needed to manufacture the solar collector. This study is carried out to estimate the potential to design a smaller solar collector that can produce the same desired output temperature. This is possible by using nanofluid as working fluid. By using numerical methods and data from literatures, efficiency, size reduction, cost and embodied energy savings are calculated for various nanofluids. From the study, it was estimated that 10,239 kg, 8625 kg, 8857 kg and 8618 kg total weight for 1000 units of solar collectors can be saved for CuO, SiO2, TiO2 and Al2O3 nanofluid respectively. The average value of 220 MJ embodied energy can be saved for each collector, 2.4 years payback period can be achieved and around 170 kg less CO2 emissions in average can be offset for the nanofluid based solar collector compared to a conventional solar collector. Finally, the environmental damage cost can also be reduced with the nanofluid based solar collector. © 2013 Elsevier Ltd. All rights reserved.
Yie L.W.,Taylors University |
Ming J.C.T.,Taylors University
International Journal on Smart Sensing and Intelligent Systems | Year: 2014
Sleep apnea is a growing sleep disorder issue and estimate to affect 7% of the adult population in Malaysia. In this study, the electrical activity of the brain is studied using Electroencephalogram (EEG). The data obtained was then decomposed using three methods; Empirical Mode Decomposition (EMD), Bivariate EMD and finally Ensemble EMD. The Index of Orthogonatility (IO) was obtained which shows EMD performed the most poorly, EEMD the best and Bivariate in between. The performance of EMD greatly improves when the number of samples was greatly decreased and very high peaks and more complex parts of the signal were excluded in the analysis. Segmentation was also conducted and the segmentation error revealed when an Event Related Potential (ERP) has happened which is when apnea occurred.