Internationalisation of the business curriculum in Australian and Vietnamese universities

This study found that internationalisation of higher education curriculum takes different forms in different national contexts. Drawing on practice architectures theory and the conceptualisation of curriculum as knowing-acting-being, the study also revealed how the structural conditions and institutional arrangements for curriculum internationalisation nurture or constrain academics’ practices and students’ becoming

CARE Rapid Gender Analysis for COVID-19

Vietnam reported its first known case of COVID-19 on 23 January 2020. As of 19 May, the country had 324 confirmed cases, with 263 recoveries and no deaths. In Vietnam, COVID-19 presents a range of contextual challenges including high numbers of migrant workers, high numbers of employees in the garment industry, many people working in the informal sector, and linguistically and culturally diverse ethnic minorities. The impacts of COVID-19 on vulnerable groups, such as migrant workers, informal workers, garment factory workers, and ethnic minorities are further marginalising these groups, exacerbating poverty and inequality and increasing their exposure to other social, economic and protection risks. Women in Vietnam have historically been underrepresented in public decision-making processes, a trend that is reflected in high-level decision-making structures on COVID-19. This means that even as women are disproportionately affected by the crisis, they have less say in how their country should respond to it

Farmer business school. Learning manual for business skills: Manual for facilitators

This manual was produced as an initiative of the Towards More Profitable and Sustainable Vegetable Farming Systems in North-western Vietnam (AGB/2012/059) project by the ACIAR. The document provides Farmer Business School (FBS) facilitators with the tools, skills, and knowledge that will allow them to guide farmers as they go through their FBS experience. Through FBS, we hope for farmers to improve their business skills and obtain a better understanding of the different aspects relating to the agricultural product market through a learning-by-doing method. This manual is intended for and speaks to facilitators

CARE Rapid Gender Analysis for COVID-19 VIETNAM

Vietnam reported its first known case of COVID-19 on 23 January 2020. As of 19 May, the country had 324 confirmed cases, with 263 recoveries and no deaths. In Vietnam, COVID-19 presents a range of contextual challenges including high numbers of migrant workers, high numbers of employees in the garment industry, many people working in the informal sector, and linguistically and culturally diverse ethnic minorities. The impacts of COVID-19 on vulnerable groups, such as migrant workers, informal workers, garment factory workers, and ethnic minorities are further marginalising these groups, exacerbating poverty and inequality and increasing their exposure to other social, economic and protection risks

Using Flashcard-Based Techniques to Improve Students’ Vocabulary Retention

The study aims to investigate how flashcard-based techniques are used to improve students’ vocabulary retention as well as the students’ perceptions and attitudes toward using flashcard-based techniques to improve vocabulary retention and the difficulties they faced during their learning process. The four-week study involved 18 students from an entire class at a language center. The data from vocabulary tests, questionnaires, student self-evaluation checklists, and students’ reflections were analyzed using both qualitative and quantitative methods. The test results and student reflections demonstrate that flashcard-based techniques contributed significantly to the students’ vocabulary recall. The findings of the survey, together with student self-evaluation checklists and their comments, reveal that these students had favourable perceptions and positive attitudes toward their vocabulary retention as a result of the teacher’s use of flashcard-based techniques. A variety of challenges during the learning process faced by the participants also offer meaningful suggestions for both the learners and teachers to effectively facilitate the former’s vocabulary retention

Development of PSO for tracking Maximum Power Point of Photovoltaic Systems

For a photovoltaic system, the relationship of the output voltage and power is usually non-linear, so it is essential to equip a MPPT controller in PV systems. Furthermore, the hotspot problem is a common phenomenon, resulting from the PV system operating under PSC. Partial shading not only damages the PV cells, but also makes it difficult to find the global MPP in the characteristic curves of P-V. The paper proposes a novel version of PSO, namely PPSO in order to detect the global peak among the multiple peaks, known as the true maximum energy from PV panel. For this, the PPSO algorithm makes the velocity of each particle be perturbed once the particles are struck into a local minima state in order to find the best optimum solution in the MPPT problem. The perturbation in the velocity vector of each particle not only helps them tracking the MPP accurately under the changing environmental conditions, such as large fluctuations of insolation and temperature like PSC; but also removes the steady-state oscillation. The proposed approach has been tested on a MPPT system, which controls a dc-dc boost converter connected in series with a resistive load. Moreover, the obtained results are compared to those obtained without any MPPT controller to prove the efficiency of the suggested method. In addition, this novel version gives the highest accuracy of tracking the optimum power in the least iteration number as compared to the conventional PSO

Occupational choice in Vietnam : entrepreneurship or wage employment? - investigation of determinants and policy implications; final draft

A boom in private businesses has attracted a large number of unemployed to cities, making some farming redundant in rural areas, while also making a great contribution to economic growth in Vietnam over the years. The study investigates the occupational choices of individuals between entrepreneurship and wage employment by examining the determinants of occupational transition between self-employment and wage employment over time

The complete mitochondrial genome of Paragonimus ohirai (Paragonimidae: Trematoda: Platyhelminthes) and its comparison with P. Westermani congeners and other trematodes

We present the complete mitochondrial genome of Paragonimus ohirai Miyazaki, 1939 and compare its features with those of previously reported mitochondrial genomes of the pathogenic lung-fluke, Paragonimus westermani, and other members of the genus. The circular mitochondrial DNA molecule of the single fully sequenced individual of P. ohirai was 14,818 bp in length, containing 12 protein-coding, two ribosomal RNA and 22 transfer RNA genes. As is common among trematodes, an atp8 gene was absent from the mitogenome of P. ohirai and the 50 end of nad4 overlapped with the 30 end of nad4L by 40 bp. Paragonimusohirai and four forms/strains of P. westermani from South Korea and India, exhibited remarkably different base compositions and hence codon usage in protein-coding genes. In the fully sequenced P. ohirai individual, the non-coding region started with two long identical repeats (292 bp each), separated by tRNAGlu. These were followed by an array of six short tandem repeats (STR), 117 bp each. Numbers of the short tandem repeats varied among P. ohirai individuals. A phylogenetic tree inferred from concatenated mitochondrial protein sequences of 50 strains encompassing 42 species of trematodes belonging to 14 families identified a monophyletic Paragonimidae in the class Trematoda. Characterization of additional mitogenomes in the genus Paragonimus will be useful for biomedical studies and development of molecular tools and mitochondrial markers for diagnostic, identification, hybridization and phylogenetic/epidemiological/evolutionary studies

An Extended RFM Model for Customer Behaviour and Demographic Analysis in Retail Industry

Background: Customer segmentation has become one of the most innovative ways which help businesses adopt appropriate marketing campaigns and reach targeted customers. The RFM model and machine learning combination have been widely applied in various areas. Motivations: With the rapid increase of transactional data, the RFM model can accurately segment customers and provide deeper insights into customers’ purchasing behaviour. However, the traditional RFM model is limited to 3 variables, Recency, Frequency and Monetary, without revealing segments based on demographic features. Meanwhile, the contribution of demographic characteristics to marketing strategies is extremely important. Methods/Approach: The article proposed an extended RFMD model (D-Demographic) with a combination of behavioural and demographic variables. Customer segmentation can be performed effectively using the RFMD model, K-Means, and K-Prototype algorithms. Results: The extended model is applied to the retail dataset, and the experimental result shows 5 clusters with different features. The effectiveness of the new model is measured by the Adjusted Rand Index and Adjusted Mutual Information. Furthermore, we use Cohort analysis to analyse customer retention rates and recommend marketing strategies for each segment. Conclusions: According to the evaluation, the proposed RMFD model was deployed with stable results created by two clustering algorithms. Businesses can apply this model to deeply understand customer behaviour with their demographics and launch efficient campaigns