The research objectives were to study the correlation between the social information disclosure and the performance and the impact of corporate governance on the correlation between the social information disclosure and the performance of companies listed on The Stock Exchange of Thailand SET100 group. The information was collected from the notes to the financial statements annual registration statements (Form 56-1) and annual reports from 2016 to 2020 of 68 companies. Data were analyzed by using descriptive statistics such as mean standard deviation percentage and inferences statistics include Multiple Regression Analysis. The study results found that the social information disclosure on consumer responsibility is in line with Return on Equity (ROE). The disclosure on innovation and innovation dissemination from social responsibility practices correlates in the negative direction to Return on Equity (ROE). In addition the disclosure on anti-corruption was inversely related to Return on Assets (ROA). On the impact of corporate governance on the size of the Board of Directors and the shareholding proportion of the major shareholders there is a negative correlation between social information disclosure on anti-corruption and Rate of Return on Assets (ROA). There is a negative correlation between the proportion of independent directors and social information disclosure on innovation and innovation dissemination from social responsibility practices and Return on Assets (ROA). There is a positive correlation between the percentage of shares held by management and directors and social information disclosure on coporate governance and environmental management and Return on Assets (ROA). There is a negative correlation between the percentage of shares held by management and directors & the position merging of Managing Director and Chairman of the Board and social information disclosure on human right records and Return on Assets (ROA). There is a positive correlation between the merging of the Managing Director & Chairman of the Board and social information disclosure on consumer responsibility and Return on Assets (ROA). There is a positive correlation between size of the board of directors & the shareholding proportion of the major shareholders and social information disclosure on human right records and Rate of Return on Equity (ROE). There is a positive correlation between size of the board of directors the proportion of independent directors shareholding percentage of major shareholders and the position merging of Managing Director and Chairman of the Board and social information disclosure on consumer responsibility and Rate of Return on Equity (ROE). There is a negative correlation between size of the board of directors the proportion of independent directors and the shareholding proportion of the major shareholders and social information disclosure on innovation and innovation dissemination from social responsibility practices and Rate of Return on Equity (ROE). There is a negative correlation between shareholding proportion of executives & directors and social information disclosure on human right records and innovation and innovation dissemination from social responsibility practices and Rate of Return on Equity (ROE). There is a positive correlation between and the merging of the Managing Director & Chairman of the Board and social information disclosure of fair treatment of workers and Return on Equity (ROE). The correlations are statistically significant at 0.01 and 0.05 levels.

The objectives of this research were 1) to investigate food ordering behavior through online applications 2) to study Food-Based Dietary Guidelines affecting food ordering through online applications 3) to study decision-making process affecting the process of choosing to order food through online applications 4) to compare decisionmaking process for food ordering through online applications classified by personal factors and 5) to study the relationship between Food-Based Dietary Guidelines and food ordering decision-making process through online applications of high school students in the Secondary Educational Service Area Office 1 under new normal. This study was a quantitative research. The sample was 400 high school students at extralarge secondary school under the Secondary Educational Service Area Office 1 Bangkok. The sample had at least once to order food through online applications. A questionnaire was used as a research instrument for data collection. Data were then analyzed using statistics including frequency percentage mean standard deviation t-Test and F-Test and Pearsons correlation coefficient. The results of this research indicated that most of the respondents werefemale aged 16 currently studying at Mathayomsuksa 4 level and under the schoolgroup 1. In terms of food ordering behavior through online applications under the newnormal it was found that the students used to order food through the online GrabFood application the most. The most ordered food was savory food and paid attention to the cleanliness of food and the safety of the selected food as well as the freshness of the food. The food was mostly ordered on Sundays. The average cost was about 101-200 baht per time. The respondents made their own decisions to buy food and the reason for deciding to order food was to have the food delivered quickly. For the importance of Food-Based Dietary Guidelines affecting food orderingthrough online application under a new normal. Overall importance level of Food-Based Dietary Guidelines affecting food ordering decision through online applicationsunder new normal was at the moderate level. When considering each aspect sevenitems were at a high level one item was at low level and the other one is at thelowest level. The level of importance of the decision-making process affecting theselection of online food ordering applications under the new lifestyle base was foundthat the overall importance was at a high level. For each aspect it was found at thehighest level in 2 aspects and at a high level in 3 aspects. The results of the comparisonof the decision-making process for food ordering through online applications under the new normal classified by personal factors it was found that the respondents with different gender and affiliated school had different decision for food ordering through online applications with a statistical significance level of 0.05. The results of analysis of the relationship between Food-Based Dietary Guidelines and food ordering decisionmaking process through online applications of high school students in the Secondary Education Area Office 1 under the new normal indicated that two variables had negative relationship at a low level. When considering each aspect it was found that the four variables had a low relationship and in the same direction as follows: eating food that was clean and free from contamination followed by eating a lot of vegetables eat fruit regularly eat fish lean meats eggs and legumes. Eating foods that were moderately fat. The results also found that five variables of the Food-Based Dietary Guidelines were associated with low levels of correlation in the opposite direction as follows: avoid eating foods that are very sweet and salty consumption of a wide variety of nutritious foods from the five food groups always take care of your body weight drinking milk according to age abstain or reduce alcoholic beverages eat rice as a staple food alternating with some starchy foods respectively.

Objectives of this study are (i) to investigate characteristics of a fuel injector and to establish the characteristic correlation for correcting the fuel injection rate calculated from the control signal of a fuel injector and (ii) to design and fabricate the fuel consumption monitoring system by measuring the control signal of fuel injector in conjunction with considering the obtained characteristic correlation to enhance accuracy of the measured fuel consumption rate. The characteristics of a fuel injector (maximum fuel injection rate of 270 cm3/min) e.g. engine speeds percentages of injector’s duty cycle and pressure differences between fuel rail and intake manifold were experimentally investigated on a test set in the laboratory. The study found that when the engine speed increased the fuel injection rate increased. When the percentages of infector’s duty cycle increased the increasing ratio was less than the one-to-one increasing ratio as a case of the ideal. Moreover when the pressure difference increased the fuel injection rate increased. After that the fuel consumption monitoring system was designed and fabricated based on the Arduino Mega 2560 microcontroller. Trip distance was measured by a GPS module. The real-time fuel consumption rate could be shown on a LCD display. All recorded data were stored onto a SD card for further data analysis. Finally the on-road-test validation was conducted by on the 2011 Mitsubishi Triton installed with the 4-cylinder gasoline engine with total displacement of 2351 cm3. It was found from that the average discrepancy of the measured fuel volume was ± 1.88% compared to the actual fuel volume obtained by measuring a decreasing volume of consumed fuel.

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 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.