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Abstract-Although street food has been the sources of unsafe food for consumption in the world including Thailand, it is interesting that many people are still choosing the food from here. The aim of this study is to investigate consumers' decision making regarding purchasing safe street food. There is very limited research in this area, therefore this study purposes to develop and test the quality of the instrument. The instrument was developed base on purchasing decision making model, and then tested the validity and reliability of data that collected from 150 pilot respondents by using SEM analysis. The results showed the drawn model was fit with the data. Moreover, the construct reliability (CR > 0.7), convergent validity (AVE > 0.5) and discriminant validity (AVE > r 2 ) were acceptable. As a result, this instrument is capable to be applied in main study and test the research hypotheses. This pilot study can confirm that the instrument is workable and minimize the potential problem that probably occurs according to unclear instrument.

Consumer education plays an important role in cultivating the beliefs that exercise helps to improve one's health status. In this vein, a solid theoretical model that provides insight into what motivates exercise participation is essential for managerial formulation of health intervention strategies. Addressing the calls for more solid theoretical work to explain exercise behaviour, this study test and compare empirically the predictive validity of three social cognitive theoriesthe theory of reasoned action (TRA) and planned behaviour (TPB) and the modified TPB (with an additional path from subjective norms to attitude) -in predicting exercise intention. Crosssectional data was collected via self-administered surveys from a sample of adults in Malaysia. All three alternative models have achieved acceptable model fit to the data, and the TPB appeared to be a more superior to the alternative models. Given strong support for the secondorder TPB's application to exercise that is provided by our study, it seems feasible that desirable modifications in social cognitions especially the attitudinal components might lead to corresponding changes in the subjects' exercise intention. This study sets the ground for health professional, social marketers, and government to improve their understanding of exercise behaviour and, in turn, consumer welfare.

Modeling solar cell involved the formulation of the current versus voltage (I − V) non-linear curve. Obtaining the accurate model parameters value is important for better performance evaluation, simulation and control of solar cell and module. Extracting these values using traditional methods required more resources, therefore, the used of meta heuristic optimization method become an attractive choice. Some optimization algorithms have been used to estimate the model parameters. However, more investigation is needed to improve model estimation. In this paper, the performance of Animal Migration Optimization (AMO) technique in identifying the unknown parameters of solar cell double diode model is studied. A measurement data of a 57 mm diameter commercial (R.T.C. France) silicon solar cell is used to observe the performance of this algorithm and the consistency of accurately estimating various parameters. The results show that the estimated and experimental data are accurately fitted and certify a good agreement. Furthermore, comparative study among different parameter estimation techniques is presented to demonstrate the effectiveness of the proposed approach.