The objectives of this research are to propose an efficient and proper model that fits the cassava and rubber yields data. A generalized estimating equation (GEE) and a linear mixed model (LMM) with spatial correlation following the conditional autoregressive model (CAR) were adopted. The dependent variables are the cassava and rubber yields collected each month in every province of Thailand. The factors considered are rainfall averaged temperatures and regions. The results from GEE and LMM show that the factors influencing on the cassava and rubber yields are rainfall averaged temperature and region. Both GEE and LMM fit the correlated data. The GEE is used to explain the influence of factors on the yields in all provinces while the LMM is used to explain the influence of factors on the yields in each province.

This research is study on influences effect of decision to use PromptPay system of Thai commercial banks. The purpose of the research is as follows. Study the confidence that effect of the choice of financial transaction services through PromptPay system. Study the marketing mix factors that effect of the decision to use financial services through PromptPay system. This research is to collect data from customer of Thai commercial banks. Thai commercial banks are as follows. Bangkok Bank Public Company Limited. Krung Thai Bank Public Company Limited. The Siam Commercial Bank Public Company Limited. Kasikorn Bank Public Company Limited. and Bank of Ayudhya Public Company Limited. The results showed that most respondents had the following: They are female. They are between 31 and 40 years old. They are single. They graduated bachelor. They are studying at the undergraduate level. They are students. They earn less than 15000 baht per month. Frequency of financial transactions is 1 time per month. They used to transfer money through mobile applications. The reason for using the mobile banking is quick and easy. and Reduce the loss of money and the cost of banking transactions are the factors that affect the choice of use PromptPay system.

The objectives of this research are to propose a linear mixed model (LMM) with spatial correlation for an analysis of rice yields in Thailand to estimate the rice yield in each month of all provinces in Thailand to investigate factors influencing on the rice yields and to construct the maps of rice yields. A linear mixed model (LMM) in which the spatial effects follow the conditional autoregressive model (CAR) is used. The estimated rice yields are used to construct the rice yield maps. The dependent variables are the rice yield in each month of each province. The data are secondary data at a provincial level. The factors considered are rainfall averaged temperatures and regions. The results show that the factors influencing on the rice yields are rainfall averaged temperature and region. The amount of regional effects ordering from largest to smallest values are northestern region southern region western region central region eastern region and northern region respectively. The top ten provinces and months with high yields ranking from largest to smallest values are Ubon Ratchathani in November (1328000 ton) Surin in Novermber (1070000 ton) Si Sa Ket in Novermber (1023000 ton) Buri Ram in November (939400 ton) Nakhon Ratchasima in November (907500 ton) Roi Et in Novermber (852800 ton) Chiang Rai in Novermber (769800 ton) Khon Kaen in Novermber (692800 ton) Maha Sarakham in Novermber (676200 ton) Udon Thani in Novermber (620600 ton) respectively. The rice yeilds maps are easy for readers to identify which areas have high or low yields. They are a useful tool for planning decision making and implementing plans to help rice famers to increase their rice production.

The study is the development of biological methods for extracting gold from the effluents of the gold processing and gold extraction in the industries where has a very high acidity (pH 0-4). This method should be used to replace the electrochemical process and chemical method which cause the pollution of toxic substances acid fumes and heavy metals of copper cyanide to the environments. The research started at the characterization and identification of microorganisms presented in gold contaminated water in natural source where is highly acidic (pH 2-4) and it could synthesize nanogold particles. The bacteria Bacillus sp. E201 were identified from this source and it showed its 16S rDNA gene with similarity of 95% to bacteria Bacillus thuringiensis accession no. FJ755916. It could create gold in the solution outside the cells within three days Form 1 mM HAuCl4 • 3H2O solution the bacterial dry weight could yield 75.3% with the amount of 0.5115 grams. It could be able to withstand acidic conditions and harvest gold from the gold extraction solution after centrifugation and filtration. So this developed biological method could be developed to apply in the industrial production of gold and jewelry industry.

This research study about rainfall pattern in Thailand due to the influenced of the tropical cyclone. The annual rainfall analysis was derived from the Thai Meteorological Department (TMD) since 1 9 7 1 -2 0 0 0. The analysis of annual rainfall used composite analysis and classification of rainfall patterns with cluster analysis. To measuring the similarity between the rainfall patterns in each year by hierarchical clustering method. In addition use to Single Linkage rules for grouping the rainfall pattern and using the distance between the units close together as possible into consideration. The summarized of rainfall pattern due to the influenced of the tropical cyclone are usually found in the eastern and northeastern regions of Thailand. It is found that a heavy rainfall. The rainfall pattern in the western regions of Thailand has the least amount of rainfall as a result of drought.