国際貿易、垂直統合及び貿易協定に関する研究

広島大学(Hiroshima University)博士(学術)Doctor of Philosophydoctora

Influencing Factors on Buying Behavior of Consumers Towards Organic Eggs in Yangon

The aim of this study is to investigate the effect of consumers personal and situational factors on their buying intention and actual buying behavior of organic eggs in Yangon. Data are collected from 300 respondents of organic eggs consumers with a structured questionnaire. The findings shows that consumers interest in health, environment, product quality, and their trust on organic eggs significantly influence on their intention to buy organic eggs. Moreover, their buying intention positively affect the buying behavior of consumers towards organic eggs. The results of this study describe various essential conclusions for retailers, policy makers, and social and environmental organizations who are working to establish effective strategies to increase organic egg consumption in Yangon. The results provide valuable information to organic egg producers to help them develop marketing strategies for buying organic eggs

Group Theory Applications: Infra-red Spectral Assignment

Group theory principles were applied and the transformation of the x, y, z vectors on each atom caused by symmetry operations were observed to obtain the 3N basis vector representations é3N, of NiCl4 , Al2Cl6 and Fe(CO)5. The identified infra-red active modes and Raman active modes were then assigned to the experimental spectral frequencies by using the projection operator method

Assessment of Future Climate Change Projections Using Multiple Global Climate Models

Nowadays, the hydrological cycle which alters river discharge and water availability is affected by climate change. Therefore, the understanding of climate change is curial for the security of hydrologic conditions of river basins. The main purpose of this study is to assess the projections of future climate across the Upper Ayeyarwady river basin for its sustainable development and management of water sector for this area. Global Ten climate Models available from CMIP5 represented by the IPCC for its fifth Assessment Report were bias corrected using linear scaling method to generate the model error. Among the GCMs, a suitable climate model for each station is selected based on the results of performance indicators (R2 and RMSE). Future climate data are projected based on the selected suitable climate models by using future climate scenarios: RCP2.6, RCP4.5, and RCP8.5. According to this study, future projection indicates to increase in precipitation amounts in the rainy and winter season and diminishes in summer season under all future scenarios. Based on the seasonal temperature changes analysis for all stations,  the future temperature are  predicted to steadily increase with higher rates during summer than the other two seasons and it can also be concluded that the monthly minimum temperature rise is a bit larger than the maximum temperature rise in all seasons

Historical Morphodynamics Assessment in Bridge Areas using Remote Sensing and GIS Techniques

Currently the Ministry of Construction is responsible for planning and construction of bridges across the country but remote sensing and satellite data are not widely used in the Ministry’s routine process. Although the inspection and monitoring are carried out by the conventional methods, the remote sensing and GIS techniques are available as an alternative way with time and cost saving. From this study, the channel migration in the locations of Ayeyarwady bridges will be analyzed and mapped by identifying temporal changes of channels. Google Earth Engine is used as the primary application in this study and surface water extraction from historical Landsat satellite imagery is done by GEE. River centerline processing and erosion-deposition area identifications are carried out by GIS technique. Study period of each bridge is between 1987 and 2017. Bo Myat Tun Bridge and Ayeyarwady Bridge (Pakokku) are toped in the list with highest migration and erosion-deposition rate according to the study. The goal of this study is to assist the bridge inspections and channel monitoring works by means of remote sensing and GIS techniques which are currently undertaking by Ministry of Construction with conventional techniques

The Impact of the exchange rate unification on trade balance in Myanmar

Thesis(Master) --KDI School:Master of Public Policy,2016This study analyzes the impacts of the exchange rate unification on the trade balance in Myanmar based on Autoregressive Distributed Lag (ARDL) Model. This paper’s main objective is to determine whether the exchange rate has positive or negative effects on the trade balance. This study has discovered that the exchange rate unification has a positive effect on the trade balance in the long run. Additionally, this study finds that Exchange Rate and Foreign Direct Investment have positive effects on the trade balance while GDP growth rate and Inflation has negative impact in the long run. As a policy implication, this study suggests that the government should focus on economic stability and effective monetary policies within the country. Moreover, Myanmar’s new exchange rate system should align with the market speculators without priority of either exporters or importers.1 Introduction 2 Literature Review 3 Empirical Analysis of the Exchange Rate Unification 4 Results and Discussion 5 Summary, Conclusions and Policy RecommendationsmasterpublishedZar Kyi WIN

Analysis of Streamflow Response to Changing Climate Conditions Using SWAT Model

The understanding of climate change is curial for the security of hydrologic conditions of river basins and it is very important to study the climate change impacts on streamflow by analyzing the different climate scenarios with the help of the hydrological models. The main purpose of this study is to project the future climate impact on streamflow by using the SWAT model. The multi-model projections indicated that Upper Ayeyarwady River Basin is likely to become hotter in dry season under low rainfall intensity with increasing temperature and likely to become wetter but warmer in both rainy and winter season because of high rainfall intensity with increased temperature in future. The impact of climate change scenarios is predicted to decrease the annual streamflow by about 0.30 to 1.92% under RCP2.6, 5.59 to 7.29% under RCP4.5 and 10.43 to 11.92% under RCP8.5. Based on the change in high and low flow percentage with respect to the baseline period, the difference between high and low flow variation range will increase year by year based on future scenarios. Therefore, it can be concluded that it may occur more low flow in the dry season which leads to increase in water scarcity and drought and more high flow in the wet season which can cause flooding, water insecurity, stress, and other water-related disasters

Combined instruction scheduling and register allocation

Master'sMASTER OF SCIENC

Study on Rust Characterization and Prediction of Atmospheric Corrosion Rates for Structural Steels in Yangon (Myanmar)

According to Fontana, “Corrosion is defined as the deterioration of a material because of reaction with its environment”. The present study is performed to get the behaviour of rust characterization and to predict long term atmospheric corrosion rates of structural steels in Yangon, Myanmar. Three types of structural steel (Type A, Type B and Type C) samples which are commonly used in Myanmar are exposed outdoors according to BS EN ISO 8565. They are removed one month periods, and their mass losses are determined according to ISO 8407 in Yangon Technological University. At the same time, environmental parameters of the test site are monitored. Rust characterization of structural steels is determined by Scanning Electron Microscopy (SEM) results in University Research Centre (Yangon University, Myanmar). From SEM results, Type A and Type B steels have nearly the same image controlled by β-FeOOH which can increase long term corrosion, whereas Type C steel has controlled by γ-FeOOH. A prediction model is developed using SPSS software to understand the main factors which cause the atmospheric corrosion, and it is found that the atmospheric corrosion in Yangon depends mainly on the time of wetness (TO

Neurobebavioural effects of long-term exposure to organophosphates in tobacco-growing farmers in Kelantan

In order to investigate the neurobehavioural effects in workers chronically exposed to organophosphate pesticides in Malaysia using the WHO neurobehavioural core test battery (NCTB), a cross-sectional study of 45 organophosphate-exposed tobacco-growing farmers and 45 controls was conducted. Seven tests of the NCTB profile of mood states,simple reaction time,digit symbol,digit span, Santa Ana manual dexterity,Benton visual retention, and pursuit aiming tests were administered to the subjects.The mean serum cholinesterase activity in organophosphate-exposed farmers (8924.7 IU/1) was significantly different from controls (116421.4 IU/1) but within normal range (5300 to 12900 IU/1).The results of analysis of covariance,in which age, length of education, and duration of employment, (covariates) were controlled in 45 exposed farmers and 45 controls, showed that the mean scores on the Profile of mood states-vigour (POMSvigour),digit symbol correct,digit span forward and digit span backward, Santa Ana non-preferred hand,Benton visual retention test and pursuit aiming tests were significantly lower in the exposed farmers than controls. The results of stepwise multiple regression analysis revealed that none of the neurobehavioural tests score for 45 organophosphates-exposed farmers were significantly related to serum cholinesterase (Pearson's product-moment correlation [p>0.05]).However,scores on the digit symbol correct, digit span backward and pursuit aiming tests were significantly related to length of education.We therefore conclude that chronic effects on the nervous system have occurred in this group of farmers and that these effects are likely to be associated with long-term repeated exposure to organophosphate pesticides