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    Instructional Approaches to Enhance Health Literacy of Health Science Students: A Mixed-Methods Research Synthesis

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              The strategies development to enhance health literacy in health science students adopted from evidences is crucial. This research is to synthesize findings on quantitative, qualitative and mixed-methods studies published and unpublished from 2010 to 2019. The Mixed-Methods Research Synthesis (MMRS), that synthesized quantitative and qualitative findings, was conducted by a design of segregated Mixed-Methods Research Synthesis. The meta-analysis was applied to synthesize quantitative findings in quantitative and mixed-methods research whereas the meta-aggregation was applied to synthesize qualitative findings in qualitative and mixed-methods research. The results showed that the student-centered instructional method and interactive teaching method were the highest mean of effect sizes related to the recommendation of the usage of various methods to enhance health literacy. It was recommended that using technology and non-technology teaching materials and media could enhance health literacy among health science students. Appropriate approaches as instructional methods and media should be adopted to develop strategies for health literacy enhancement. Keywords: Health Literacy, Health Science Students, Instructional Approach, Mixed-Methods Research Synthesis, MMR

    Correlated Key Attributes for Sustainable and Universal Design: A Case Study through Meal Packaging in Thailand

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            The study reports results of a series of research efforts to examine congruence between two design principles: universal and sustainable design concepts. The methods mainly adopted the focus group interview and the survey. A paper tray for fried chicken was used as an illustrative case to test the design attributes drawn out. The findings of the first stage indicated that the packaging executives agreed that both universal and sustainable designs played important roles in the current packaging trends and could be considered as integrative design. With explicit concern by companies over economic and environmental benefits, the package should also facilitate ease of use by consumers but retain its integrity and functionality. The design strategy for package reduction at the end phase of use after product consumption, was pointed out. At the second stage, package designers’ points of view suggested the key design issues where consumer needs, environmental benefits and packaging functionality were all affected. At the final stage, responses to a questionnaire on the existing and proposed package designs for a fried chicken meal indicated that most consumers liked to use a paper tray for food products, despite the major problem of food leakage. The final findings indicated that the key structural factors of the proposed package with the correlated design attributes were easy handling and opening and facilitation of disposal. The extent of consumer satisfaction was subject to the right package structure and strength as well as clear information provided through graphics, pictures and symbols in order to provide guidance for disposal after use.  Keywords: Universal, Sustainable, Design attribute, Correlated, Packagin

    Forecasting Rabies in Dogs in Thailand: Time Series Analysis

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            Background: Rabies is a dangerous infectious disease spread from dogs to humans by bites from rabid dogs. There is a lack of studies investigating trends of rabies in dogs in Thailand. The objectives of this study were to investigate trends in rabies in dogs in Thailand and use this to develop a model to predict the number of dogs with rabies in Thailand.         Methods: The number of dogs with rabies between 2013 and 2017 were retrieved from the rabies surveillance report system of the Bureau of Disease Control and Veterinary Services in Thailand. Time series analysis using Holt-Winter and Box-Jenkins methods were performed to create a predictive model. Akaike information criterion (AIC) and Root Mean Square Error (RMSE) were used to choose an appropriated model for predicting the number of dogs with rabies in Thailand in 2018.         Results: During 2013-2017 there was a significant increase in the number of rabid dogs in northeastern Thailand. Using the Seasonal Autoregressive Integrated Moving Average (SARIMA (1, 1, 0) (0, 1, 1)12) predictive model, the number of rabid dogs in Thailand was predicted to be highest in December 2018.         Conclusion: The number of dogs with rabies in Thailand is increasing and the SARIMA predictive model was the most suitable for forecasting the number of rabid dogs that might be found in Thailand at national and regional levels. Keywords: Forecasting, Rabies dogs, Modelling, Time serie

    Estimation of Hourly Near Infrared Radiation Using Artificial Neural Network and Performance Comparison with the Semi-Empirical Model at Nakhon Pathom Province

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            In this research, methods for estimating near infrared radiation (NIR: 0.695–2.8 micron) at Silpakorn University, Nakhon Pathom province (13.82◦N, 100.04◦E) have been developed using an artificial neural network (ANN) and a semi-empirical model. The input data of these models consist of aerosol optical depth (AOD) and precipitable water (W) measured by a Sunphotometer, and clearness index (kt) obtained from ratio of measured incident solar radiation to calculated extraterrestrial solar radiation. The ANN and semi-empirical models were formulated using the collected data at Nakhon Pathom station for the period of 2009-2015. Then, the results obtained from these models were tested and validated against the measured data at the station during a two-year-period (2016-2017). The comparison results show that the near infrared radiation obtained from the ANN and semi-empirical models are in reasonable agreement with the measurement. The root mean square difference (RMSD) are 6.08% and 4.47%, and the mean bias difference (MBD) are 4.91% and 3.02% for the ANN and semi-empirical models, respectively. Keywords: near infrared radiation, artificial neural network, semi-empirical model, Nakhon Patho

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