分子遺伝学的手法を用いたわが国メロン品種の多様性と分類

For the breeding of Japanese netted melon, various types of foreign cultivars have been utilized for improving adaptability, disease and pest resistance, fruit quality and so on. However, little is known about their genetic diversity and relationships, since most cultivars derived from crosses between various horticultural groups. To figure out the genetic structure of Japanese melon, in this study, 57 melon accessions from three horticultural groups were examined using 55 RAPD markers produced by 24 RAPD primers. Genetic diversity of the Japanese netted melon was as high as those of cultivar groups of Groups Cantalupensis and Inodorus, while it was low in Group Conomon irrespective of large variations in fruit traits. Cluster analysis and PCO analysis based on genetic distance showed that Group Conomon was distantly related to other melon accessions. Among the latter, European cantaloupe (nonnetted) and American open-field type (netted) proved to be genetically close, while England glasshouse melon (netted) including ‘Earl’s Favourite’ is distantly related to these two groups and closely related with Group Inodorus. It was therefore suggested that England glasshouse type was established from hybrids between European cantaloupe and Group Inodorus. Japanese netted melon was most closely related with England glasshouse type, irrespective of the fact that various kinds of melon accessions have been crossed to improve adaptability, disease resistance and so on. In contrast, pure line cultivars of the Japanese netted melon bred by pure line selection from ‘Earl's Favourite’ or by crossing ‘Earl’s Favourite’ with ‘British Queen’ were confirmed to be mostly homogenous, and it was difficult to establish RAPD markers to discriminate each cultivar. Group Conomon var. makuwa and var. conomon, which have been cultivated and utilized as different crops, proved to be genetically indistinguishable and were considered to share the same gene pool

Solutions for Better Business Management – A Case in Brick and Ceramic Industry in Vietnam

For better business performance we need to improve management. Business performance measurements can be done via many indicators such as stock price, profits. With the support of OLS linear regression, the paper aims to estimate effects from macro indicators on stock price in brick and granite ceramic sector, esp. in Taicera (TCR) in Vietnam? Our research found that between stock price of TCR and many macro factors there is negative correlation. Between stock price and Risk free rate (Rf) there is positive correlation. So, board need to enhance or forecast effects from macro policies on their stock price to manage the firm better. On the other hand, investors and institutions can refer to the model for prediction of stock price

Impacts of Payment for Forest Ecosystem Services on Local livelihoods in A Luoi District, Thua Thien Hue Province, Viet Nam

This paper analyses the impacts of the national Payment for Forest Environmental Services (PFES) policy in A Luoi district, Thua Thien Hue province, Viet Nam. There are mixed impacts of PFES in A Luoi district. While some surveyed households have experienced increases in income since PFES, for many other incomes have fallen. Our findings show PFES impacts on local communities and individuals are limited because most forest areas are managed by state agencies, leaving only 17.9% of PFES payments being channeled to these groups, while the rest goes to state government agencies and commune people’s committees. This disparity in PFES payments has further widened the income gap between state agencies and local households.  PFES payments currently contribute little to household incomes, averaging only 2.64% of total earnings. PFES has little impact and additionality in advancing land tenure security and reducing natural forest product exploitation for generating income as impacts are similar to those found in non-PFES villages. PFES poverty reduction impacts vary from village to village, but in general, percentages of poor households receiving PFES payments range from 1% to 59%

Exploring Cultural Intelligence’s influence on performance of multicultural teams within a Vietnamese empirical setting.

Masteroppgave(MSc) in Master of Science in Business, International business - Handelshøyskolen BI, 2016RELEVANCE. Increasing globalization at the workplace leads to the frequent use of multicultural teams. Thus, over the last century, a vast number of researchers have been looking for ways to enhance team performance in general and multicultural team’s performance in particular. Despite that, there have been a substantial number of studies dedicated to investigating of the influences of cultural diversity and Cultural Intelligence (CQ) on team performance in multinational corporations (MNCs), focusing on the context of developed business environment such as the USA and small markets have so far been ignored. Thus, the scope of this study is limited to the multinational corporations in the Vietnamese empirical context. GOAL. The goal of this thesis is to shed light on the impact of cultural diversity and Cultural Intelligence on performance of multicultural teams (MCTs) in MNCs in Vietnam. Furthermore, this thesis also investigates the role of CQ as a moderator of the relationship between cultural diversity and team performance. RESULTS. The empirical results are in this thesis gathered by use of online survey, which is a popular methodological trend in qualitative research. The survey is in English and back-to-back translated in Vietnamese. Some findings found are in accordance with previous studies. In contrast, some results show different interesting patterns experienced in practice by respondents in the Vietnamese setting. Firstly, we tested the relationship between cultural diversity and team performance. In line with our expectations, we found that cultural diversity has a negative effect on team performance. However, CQ was found to have no significant moderating effect on this relationship. Moreover, results indicated that CQ positively impacts MCTs’ performance. And finally, this thesis also found that nationality, gender and business experience also impact team performance in the Vietnamese empirical setting CONTRIBUTION. We hope this study can contribute to the under-researched area of the relationship between cultural diversity, CQ and team performance in MNCs in Vietnam. It will be not only a potential support for future researches, but also an assistance to managers in MNCs to enhance the MCTs’ performance. Keywords: Cultural Intelligence, cultural diversity, team performance, multicultural team (MCT), multinational corporation (MNC), Vietnamese setting

White coat color in Vietnamese native buffalo is attributed to the LINE1 insertion in ASIP

The coat color of the swamp buffalo is commonly dark gray, while the white coat color variant, which may have potential heat stress advantages, is also present in some Asian countries, including Vietnam. This study analyzed the most likely candidate genes, ASIP and TYR, responsible for the white coat color of Vietnamese native buffaloes. We found that LINE1 insertion in ASIP, a mutation previously reported in white swamp buffalo from other Asian countries, was exclusively found in white Vietnamese buffalo. Moreover, significantly higher expression of ASIP was confirmed in the hair follicles of white buffalo. On the other hand, no variants associated with the white phenotype were found in TYR. These findings indicate that the LINE1 insertion in ASIP is responsible for the white coat color in Vietnamese native buffalo, and that provides a crucial step towards their utilization and improved productivity in Vietnam

Building a temperature forecasting model for the city with the regression neural network (RNN)

In recent years, a study by environmental organizations in the world and Vietnam shows that weather change is quite complex. global warming has become a serious problem in the modern world, which is a concern for scientists. last century, it was difficult to forecast the weather due to missing weather monitoring stations and technological limitations. this made it hard to collect data for building predictive models to make accurate simulations. in Vietnam, research on weather forecast models is a recent development, having only begun around 2000. along with advancements in computer science, mathematical models are being built and applied with machine learning techniques to create more accurate and reliable predictive models. this article will summarize the research and solutions for applying recurrent neural networks to forecast urban temperatures.Comment: 6 page

Factors Affecting Firms’ Performance: The Case of Vietnam construction firms

In the context of Vietnam's international economic integration, improving the performance of enterprises is increasingly important because it not only affects businesses but also affects the development prospects of the economy. The purpose of the paper is to consider the impact of factors on the performance of listed construction companies in the period of 2012-2018. By means of an empirical analysis, this study uses Eviews econometric software and table data techniques. This study found the factors that positively impact on performance are asset structure, capital structure and firm size that negatively impact the performance of Vietnam listed construction firms. These findings support business administrators in selecting appropriate business and production plans to increase the operating performance of businesses in the construction industry. Keywords: Profitability, construction firms DOI: 10.7176/RJFA/11-2-15 Publication date: January 31st 202

Joint Location and Cost Planning in Maximum Capture Facility Location under Multiplicative Random Utility Maximization

We study a joint facility location and cost planning problem in a competitive market under random utility maximization (RUM) models. The objective is to locate new facilities and make decisions on the costs (or budgets) to spend on the new facilities, aiming to maximize an expected captured customer demand, assuming that customers choose a facility among all available facilities according to a RUM model. We examine two RUM frameworks in the discrete choice literature, namely, the additive and multiplicative RUM. While the former has been widely used in facility location problems, we are the first to explore the latter in the context. We numerically show that the two RUM frameworks can well approximate each other in the context of the cost optimization problem. In addition, we show that, under the additive RUM framework, the resultant cost optimization problem becomes highly non-convex and may have several local optima. In contrast, the use of the multiplicative RUM brings several advantages to the competitive facility location problem. For instance, the cost optimization problem under the multiplicative RUM can be solved efficiently by a general convex optimization solver or can be reformulated as a conic quadratic program and handled by a conic solver available in some off-the-shelf solvers such as CPLEX or GUROBI. Furthermore, we consider a joint location and cost optimization problem under the multiplicative RUM and propose three approaches to solve the problem, namely, an equivalent conic reformulation, a multi-cut outer-approximation algorithm, and a local search heuristic. We provide numerical experiments based on synthetic instances of various sizes to evaluate the performances of the proposed algorithms in solving the cost optimization, and the joint location and cost optimization problems