The objectives of this research were (1) to study the influence of marketing mix which consisted of the dimensions of product or service price place and promotion on trust (2) the study the influence of marketing mix and trust on satisfaction (3) to study the influence of trust and satisfaction on loyalty of Siam Commercial Bank Public company Limited (4) to validate a causal relationship model of influence of marketing mix on trust satisfaction and customer loyalty of Siam Commercial Bank Public company Limited with empirical data. The variables in this investigation consisted of the following; marketing mix consist of the dimensions of product or service price place and promotion as the independent variables; trust and satisfaction as mediating variables; and customer loyalty as dependent variable. The researcher used quantitative methods which involved empirical research. The instrument of research was a questionnaire used to collect data form 421 customers of Siam Commercial Bank Public Company Limited Ratchadapisek (Thapra) Area office total 30 branches. The statistics in data analysis were frequency percentage mean standard deviation and structural equation model analysis. It was found the model was consistent with the empirical data. Goodness of fit measures were found to be Chi-square (x2) = 464.207; degree of freedom = 463; p-value = 0.479; Relative Chi-square (x2/ df) =1002; comparative fit index (CFI) = 1000 Standardized Root Mean Square Residual (SRMR) = 0.028; goodness of fit index (GFI) =0.942; adjusted goodness of fit index (AGFI) = 0.917; and Root Mean Square error of Approximation (RMSEA) = 0.002. It was also found that (1) marketing mix in the dimension of Product or service had a positive and direct influence on trust; (2) marketing mix in the dimension of price Had a positive and direct influence on trust; (3) marketing mix in the dimension of place had a positive and direct influence on trust; (4) marketing mix in the dimension of promotion had a positive and direct influence on trust; (5) marketing mix in the dimension of product or service had a positive and direct influence on satisfaction; (6) marketing mix in the dimension of price had a positive and direct influence on satisfaction; (7) marketing mix in the dimension of place had positive and direct influence on satisfaction; (8) marketing mix in the dimension of promotion had a positive and direct influence on satisfaction; (9) trust had positive and direct influence on satisfaction; (10) trust had a positive and direct influence on customer loyalty; and (11) satisfaction had a positive and direct influence customer loyalty. On the basis of these findings the researcher recommends that Branch of Siam Commercial Bank Public Company Limited more fully focus on marketing mix in the dimensions of product or service price place and promotion to deepen trust satisfaction and customer loyalty.

Podostemaceae a family of aquatic flowering plant restricted to river rapids and waterfalls are widely reported to be the high incidence of endemism and in need for conservation. The present study analyses endemism and conservation status of the Podostemaceae in northeastern floristic region Thailand using past and current taxonomic records personal field collections geographic ranges IUCN assessment and a combination of river number in which a species occurs. The plants grown in one river and two rivers are considered as narrow endemic species. Among the six genera and 22 species recognized two genera are endemic eighteen species are endemic to Thailand eleven species of the 18 are narrowly distributed and confined in northeastern floristic region and the other 4 species are not endemic. Considering the conservation status two species are classified as Critically Endangered distributed in a single river ten species as Vulnerable distributed in 1-2 rivers six species as Near Threatened two species as Least Concern and two species as Data Deficient. Loei province is the most species-rich area in Thailand with 12 species five of them are restricted in Loei.

The objectives of this research are to estimate the morbidity rates of Leptospirosis in each month of all provinces in Thailand to determine the trend of leptospirosis over time to investigate factors influencing on the morbidity rates and to construct the disease maps of the leptospirosis. The generalized linear mixed model (GLMM) in which the spatial effects follow the conditional autoregressive model (CAR) and the temporal effects follow a linear trend. The estimated morbidity rates are used to construct the disease maps. The dependent variables are the numbers of leptospirosis patients in each month of each province and are assumed to have a Poisson distribution. 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 morbidity rates are rainfall (Relative Risk (RR) = 1.0013) averaged temperature (RR = 0.9922) north region (RR = 10.6440) northeast region (RR = 14.3249) southern region (RR = 15.5491) western region (RR = 3.6219) and eastern region (RR = 1.0103) where the central region is a reference region and a linear trend (RR = 1.0183). The top ten province and months with high morbidity rates (per 1000000 population) ranking from largest to smallest values are Phangnga in September (59.00) Phangnga in August (33.49) Sisaket in October (23.14) Sisaket in August ศรีสะเกษ (22.60) Sisaket in September (22.57) Phngnga in October (22.55) Loei in September (21.11) Phangnga in July (20.81) Phangnga in May (20.72) and Phangnga in June (20.47) respectively. The leptospirosis maps are easy for readers to identify which areas are at high risk. They are a useful tool for planning and controlling the leptospirosis.

The purpose of this study was physical and chemical analysis of watermelon seeds (waste) the markets Study of optimize replacing watermelon seeds (waste) by peanuts in thai foods process and consumer acceptability indicated of products. Result showed that physical and chemical analysis of watermelon seeds (waste) the markets as follows : Aw =0.37±0.06 L* a* b* value 60.88±0.13 10.65±0.05 and 41.02±0.06 respectively and moisture content 1.19% protein content 10.97% fat content 0.22% crude fiber content 6.48% ash content 3.26% and carbohydrate content 77.88%. Result showed that the best formula was mussaman curry was replacing watermelon seeds (waste) by peanuts 100%. Product have orange yellow colour be similar to product in markets and less than fat content 1.65 times protein content and ash content more than 1.59 2.65 respectively.The shelf life meagerly 2 months and consumer acceptability like moderately mussaman curry powder and mussaman curry product. Result showed that the best formula was kao tung na tang crispy rice sticks and shrimp dipping replacing watermelon seeds (waste) by peanuts 100%. Product have orange yellow colour more than product in markets. And more than fiber content and protein content 1.31 1.51 times less than fat content and ash content 1.24 1.32 respectively. The shelf life meagerly 2 weeks and consumer acceptability like moderately product. Result showed that the best formula was panaeng curry powder replacing watermelon seeds (waste) by peanuts 100%. Product have bright orange colour. The shelf life meagerly 4 months and consumer acceptability like very much product. Result showed that the best formula was sai kow griep pag mor replacing watermelon seeds (waste) by peanuts 100%. Product have dark brown more than product in markets. And less than moisture content fat content and fiber content 2.17 6.61 and 6.46 times more than carbohydrate content and ash content 68.24 4.10 respectively. The shelf life at -18 ๐C and consumer acceptability like moderately product.

This study has two major proposes to study marketing mix via Smart Sales system factors on a customers decision behavior of buying life insurance via Siam Commercial Bank PCL. This methods research was quantitative research. The sample was selected 400 local people in Bangkok area from multistage random sampling by presented in the tables percentage average standard deviation to comparative analysis and use inferential statistics to examine hypothesis by regression analysis. The results of a short empirical survey of the local in Wisuthikasat area are presented. These show that Smart Sales system influence to life insurance buying at statistically significant at level 0.05 by this prediction equations; Buying Decision = 2.586 – 0.077 (Product) – 0.146 (Price) + 0.387 (Place or Distribution) + 0.109 (Promotion) – 0.213 (People or Employee) – 0.477 (Physical Evidence) + 0.051 (Process). The independent variable effecting Siam Commercial Bank insurance buying decision which significantly found at the level of 0.05 was the physical evidence factor. They were the bank symbol public relation brochure management officer uniforms customer acceptance of Siam Commercial bank in Wisuthikasat area branches stability respectively including the negative information of the bank branches.