TRA VINH UNIVERSITY JOURNAL OF SCIENCE; p-ISSN: 2815-6072; e-ISSN: 2815-6099

With the exponential growth of information, it is no surprise that we are in a period of history as the Information Age. The rapid growth of data has presented challenges regarding storage and processing technology. This article refers to Apache Spark, an ecosystem that provides many integrated technologies in Big Data processing, including machine learning libraries and data storage platforms. Apache Spark provides distributed data processing for open source applications, loading data in-memory and making operations for analyzing data of any size, with efficient support for popular programming languages like Java, Scala, R, and Python. The article aims to compare the superior computing power of Saprk compared to Hadoop and how to connect Spark with today's popular data processing tools such as the R language.

The research was conducted to determine the effects of psychological capital on the personality on hotel staff working in an engagement setting in Ho Chi Minh City, Viet Nam. Data was collected by surveying 378 staffs who are working in hotels in Ho Chi Minh City which are rated 3 stars or more. Descriptive analysis, exploratory factor analysis, and linear regression analysis were used with SPSS 20 statistical package for data analysis. The results show that all psychological capital factors, including hope, efficacy, resilience and optimism have hadpositive impacts on hotel staffs’ work ethic. The study also demonstrated the effects of personality on the hotel staffs’ engagement with their work. The research outcomes suggest some managerial solutions to management problems by adapting psychological capital data and to take into consideration the personality of staff to enhance employees  working in engagement settings in Ho Chi Minh City.

Hungarian goose production and gene conservation practices have been a tradition in Hungary for several centuries. The old Hungarian geese can only be effectively maintained if the national programs can identify economic uses of the breed. This study aimed to examine the potential use of the Hungarian landrace goose (HL) either as a purebred or crossbred with the Hungarian Upgraded breed (HU). Crossbred offspring were produced by HL ganders and HU layers, as egg production of HL layers is very low. Reproduction traits (egg production, fertility and hatchability) of parent stocks, body weight gain, feed consumption and slaughter values (slaughter loss, breast and thigh weight and proportions) and of offspring were measured. The results showed that fertility in the crossbred geese was insignificant compared to the fertility of HL purebreds, while hatchability of crossbreds was higher than that of purebred HL or HU. HL offspring had significantly lower bodyweight and weight gain, and a higher feed conversion rate than HU. The proportion of valuable meat parts (breast and thigh) was the highest in HU while weight in slaughter loss was also the highest in HU. In terms of body weight, feed conversion rate and slaughter properties, crossbred offspring showed intermediate  inheritance. HL is recommended for crossbreeding with HU breeds and their offspring should be reared under free-range keeping conditions.

This study evaluated the current condition of the preservation and promotion of cultural values of Khmer folk music. The study used sociological investigation methods, in-depth interviews, and ethnographic fieldwork methods. The results showed that the preservation and promotion of the cultural values of Khmer folk musicin the south of Vietnam were mainly done spontaneously, via oral transmission between artisans and artists. Even though research into Khmer folk music, introduction of outsiders to Khmer folk music, and training have begun to be collected and researched, it is still very limited.

Nghiên cứu nhằm đánh giá sự biến đổi về chất lượng nước mặt và tần suất giám sát tại ba trạm giám sát liên tục trên sông Tiền (cụm MT1) và sông Hậu (cụm MH1 và MH2) qua giai đoạn 10 năm (2009-2018), với tần suất giám sát 12 lần trong một năm (hàng tháng). Các biến số chất lượng nước bao gồm nhiệt độ (oC), pH, oxy hòa tan (DO, mg/L), chất rắn lơ lửng tổng số (TSS, mg/L), nitrat (N-NO-3, mg/L), orthophosphat (P-PO3 4-, mg/L), nhu cầu oxy hóa học (COD, mg/L), và coliforms (MPN/100 mL). Các thông số chất lượng nước cá nhân đã được đánh giá bằng cách so sánh với Quy chuẩn kỹ thuật quốc gia về chất lượng nước mặt (QCVN 08-MT: 2015/BTNMT). Tần suất giám sát được đánh giá bằng phương pháp Phân Tích Nhóm (CA). Kết quả cho thấy nước mặt trên cả sông Tiền và sông Hậu luôn bị ô nhiễm bởi chất rắn lơ lửng, chất hữu cơ, dưỡng chất và vi sinh vật. Phân Tích Nhóm xác định rằng tần suất giám sát nước hiện tại có thể giảm từ 12 lần xuống còn 5 lần mỗi năm, giảm 58% chi phí giám sát. Nghiên cứu tương lai nên tập trung vào đánh giá các thông số chất lượng nước để bao trùm tất cả các đặc tính chất lượng nước trên sông Tiền và sông Hậu. Hợp tác quốc tế với các quốc gia có ảnh hưởng đến dòng sông trước khi đổ vào Việt Nam trong quản lý nước cần được tăng cường để giải quyết vấn đề nước tiếp tục.

The factors influencing students’ decisions during the selection of a subject major is important for the  development of colleges in Vietnam. This study aims to address the factors impacting the choices of students to select the ‘Hotel Management’ major, at Kien Giang College, Vietnam, and analyze the influence level of each factor. The results confirm four factors that impact the decisions of students studying the major in Hotel Management at Kien Giang College, which are: (1) Hobbies, previously acquired skills, and the availability of jobs in the current job market; (2) The prestige of the college; (3) The benefit of studying; and (4) Sponsor policies and the opportunity to enhance the students’ livelihoods. Based on the outcome, this study also provides further suggestions to attract more students to major in hotel management at Kien Giang Collegein the future. 

The concentrations of heavy metals in soil and rice plants around the landfill area in Dong Thang commune, Co Do District, Can Tho City, Viet Nam needed to be assessed for environmental pollution. Soil samples were collected from four sites (three sites S1, S2, S3 near and one site S4 far away from the landfill area) at soil depths of 0 to 25 and 25 to 50 cm. The rice and soil samples were simultaneously collected at the same locations for analysis of heavy metals. The heavy metals Mn, Zn, Cu, Cr, Ni, Pb and Cd were analyzed using atomic absorption spectroscopy. Six heavy metals including Mn, Zn, Cu, Cr, Ni, and Pb were detected and ranged from 12.3 to 291.0 mg/L for the top soil and 11.2 to 370.0 mg/L for 25 to 50 cm soil layer. However,  concentrations of Ni, Cu, and Pb in soil tended to decrease while Mn, Zn and Cr tended to increase with an increase of soil depth near the landfill. A similar tendency of heavy metal concentration with depth was found at S4 except for Cu. The decreasing order of the selected heavy metals concentrations in the two soil layers at near the landfill was Mn>Zn>Ni>Cr>Cu>Pb and these concentrations of heavy metals were within the limits of QCVN 03-MT: 2015/BTNMT and Canadian Council of Ministers of the Environment (CCME, 2007). The result of the bioaccumulation factor (BAF) in rice plants showed that the selected heavy metals were accumulated more in the root rather than the stem-leaf and grain. Mn was accumulated dominantly in both root and stemleaf, while Zn, Cu, and Pb only accumulated in the root. Thus, result of this study suggests that is essential to collect and treat the heavy metals in the leachate properly to minimize the distribution of heavy metals to the paddy soil environment.

The forms of collective economic production organizations (CEPOs) are increasingly encouraged, especially for small-scale producers. The study was carried out from March to July 2021 through interviews with 45 riceshrimp farming households, including 25 households belonging to the CEPOs and 20 individual households in the Soc Trang Province aiming to evaluate the financial performance of the model. The research results show that the farming scale of the CEPOs’ households is larger; the stocking density is lower; but the yield is higher than that of the counterparts (591.5 kg shrimp and 6.36 ton of rice/ha/crop, compared to 385.1 kg of shrimpand 4,23 ton of rice/ha/crop, respecitively). There are no statistically significant differences in the cost indicators, but the indicators of financial performance of the CEPOs’ households are statistically significantly higher than that of individual households (profit reaching 45.9 mill.VND for shrimp and 54.1 mill.VND/ha/crop for rice, double that of individual households). Shrimp CEPOs play an important role in gathering production through input sumply contracts, technical support, preferential policies on capital and contributing to job creation and income enhancement for shrimp farming household.

This paper analyzes the impact  of base erosion and profit shifting (BEPS)on tax revenue in Southeast Asian countries for the period of 2012-2017. ASEAN countries are mostly developing countries with  little experience dealing with the aggressive tax strategies of multinational corporations (MNEs). Accordingly, measuring the impact of BEPS on tax revenue in Southeast Asian countries is essential and urgent. Specifically, this paper measures BEPS by offshore index using the Offshore Investment Matrix approach proposed by UNCTAD (2015). According to this approach, 3.6% of inflow foreign direct investment in six Southeast Asian countries for the period of 2012-2017 originated from tax havens and specialpurpose tax countries. The empirical simulation shows that about $ 2.195 billion of the tax revenue of Southeast Asian countries in2017 is lost because of BEPS.

This study proposes a research model of the factors affecting customer satisfaction with the service quality of San Ha Retail Group. The study proposes a service quality measurement model with five factors and 20 observed variables. The study used the method of testing the reliability of the model scale by Cronbach’s Alpha coefficient, the exploratory factor analysis, and the multivariate regression analysis to explore the results of interviews with 130 customers who have used products and services of San Ha Retail Group. The results show that customer satisfaction with the service quality of San Ha Retail Group is influenced by five factors, including empathy, responsiveness, tangibles, reliability, and service capacity. The findings from the research suggest solutions to increase customer satisfaction when using products and services for San Ha Retail Group.