The aim of this research was determine total phenolic content total flavonoid content and antioxidant activity by DPPH and ABTS assay from leaves flower and stem of Crateva adansonii DC. subsp. trifoliate (Roxb) Jacobs that was extracted by Soxhlet method using ethanol dichloromethane and ethyl acetate as solvent. Leaves extract showed the highest total phenolic content and antioxidant activity. Ethanolic leaf extract showed the highest total phenolic content (157.13±0.32 mg GAE/g extract) and antioxidant activity by DPPH assay (53.64±3.78% (IC50 = 1.49±0.02 mg/ml)) and ABTS assay (76.51±0.97% (IC50 = 0.84±0.01 mg/ml)).When we considering solvent effect found that ethanolic extract showed the highest total phenolic content and antioxidant activity. Total flavonoid content ethyl acetate extract showed the highest total flavonoid content. Total phenolic content significantly correlated with antioxidant activity.

At present the climate is changing due to changing environment. Industrial pollution Smoke from the traffic of cars on the road. Dust from the burning of forests etc. This change makes the climate change rapidly. Affect the temperature rise. In addition the temperature changes also affect the air pressure is changing as well. By the temperature relationship Atmospheric pressure and wind direction change dramatically in the climate such as wind storm precipitation and wind direction. This research is a forecast of air pressure and wind. To analyze the precipitation Wind and storm in the future. This is a summary of wind rain and storm in Southeast Asia including Thailand. The mathematical model used for forecasting is the Global Climate Model which is a powerful model. The initial condition of the forecasts was from the Intergovernmental Panel on Climate Change (IPCC) and the European Center for Medium Range Weather Forecasts (ECMWF) and after forecasting examined or measured the accuracy of the forecasts by Lyapunov exponent (LE) is the most commonly used forecasting method and is the basis of other methods of forecasting accuracy. In addition it is also used to measure the accuracy of the forecast is Finite time Lyapunov exponent (FTLE). Forecasting results show that the initial conditions used in forecasting result in atmospheric pressure and wind direction varying according to different starting conditions. So the temperature the air pressure and the winds cause the rain and the climate change.

The objectives of this research were to propose a spatial analysis using Bayesian generalized linear mixed model for predicting drought in Thailand. The spatial effect was assumed to be a conditional autoregressive model (CAR model). The dependent variables was a drought or non-drought occurrence which was assumed to have a Bernolli distribution with logistic link function. Factors considered were rain temperature number of rainy days number of large reservoirs and number of medium reservoirs. The results show that the rain temperature number of rainy days number of large reservoirs and number of medium reservoirs influence on the drought occurrence. This study is useful for planning making decision preventing and remedying the drought problem.

On Earth all objects have a weight which Earths mass exerts on them to downward force of gravity. The weight of an object can find somethings weights in Newton unite. It calculated on multiply the mass in kilograms by the acceleration of gravity in the units of meters/seconds2. The purpose of this study was to design and develop an experimental setup for measuring the gravity acceleration. It involved designing by using free-fall motion method in vacuum tube based on digital Technology and photo gate sensor measured the velocity of the ball object. The data were analyzed by Microsoft Excel. The value of gravity acceleration obtained at 9.617 m/s2 from the experiment set up. The value from the experiment was compared with the obtained from true value at Bangkok Thailand. It found the error at 1.697 %. The assessment of the quality used a questionnaire for data collection. Five content experts in Physics teaching evaluated it. That found mean 4.89. The results of the study revealed that the experimental set up were excellent quality of and high efficiency. So that this experiment suitable to be used in physics classroom.

The effect of pesticides on farmers and the distribution of residual pesticides in rice plants and rice grain was studied in rice farming area covered in Samchuk district Suphanburi province. The situation and health effects related to pesticides was conducted using an individual interview and filled-form questionnaire with 126 samples. The participants were male of 68.3% and female of 31.7%. Educational level of participants was to be 36.5% and 24.6% for primary and elementary levels respectively. One-third of farmers (33.3%) reported a monthly income in the range of 5000 to 10000 Baht. A quarter of farmers (25.4%) got higher a monthly income with 10001 to 15000 Baht. Family members was found to be 4 persons (54%) 5 persons (19.8%) and over 5 persons (11.1%). All participants concerned the behavior and perception related pesticides for their highly toxicities and extremely dangerously death. A half of herbicide (50%) was glyphosate. Seriously paraquat (commercial name of Gramoxone) was found to be 22%. On the other hand the most of insecticide (55%) was an abamectin and carbofuran (commercial name of Furadan) was found to be 15%. A 20 samples of rice plants and rice grain was collected by random sampling. The residual carbofuran and glyphosate in rice plants and rice grain was determined using standard method. It was found that carbofuran was found in the range of ND-0.05 μg/kg and ND-0.08 μg/kg for rice plants and rice grain respectively. Glyphosate was found in the range of ND-0.26 μg/ kg and ND– 0 . 2 2 μg/ kg for rice plants and rice grain respectively. The residual levels of carbofuran and glyphosate in rice plants and rice grain depended on a spray period time their decomposition and the concentration of carbofuran and glyphosate. The residual levels of carbofuran and glyphosate did not significantly quantitative correlation between rice plants and rice grain.