VIETNAM'S ELECTRONICS INDUSTRY: THE RISE AND PROBLEMS OF FURTHER DEVELOPMENT

Purpose: To evaluate the Vietnamese electronics industry (EI) by analyzing its successes and shortcomings in recent years in comparison with other Southeast Asian countries, as well as the problems faced by the young industries in Vietnam in the course of its development and identify their abilities to participate in the global value chain. Methodology: Systems approach was used to analyze the status of Vietnam’s EI. The advantages and the results achieved by EI are assessed and described with the help of objective data from statistical and officially published sources. Main Findings: The position of Vietnam’s EI in the context of growing industry 4.0 was recognized. Its dependence on imports and other reasons that affect its efficiency and competitiveness were identified in the study. The Government should provide adequate support for the development of priority area including EI within the framework of national policies and encourage import substitution program of the industrial enterprises. Applications: Research results could be used for providing recommendations for making Vietnam's electronic industry development policy and import substitution program in the future. Novelty/ Originality: Study considered the effects of inconsistent structure, import dependence of production, lack of unified government control, quality of labor, etc. in gross output and export revenue

Social Security and Population Ageing in Vietnam: A Guarantee for the Elderly People’s Life

Demographic change affects the socio-economic development of any country. In Vietnam, the population and housing censuses from 1989 to 2019 showed an appreciable increasing proportion of the elderly in the total population and fast ageing pace. Older people have many difficulties in their life. Among them, only 27% have pensions or stable incomes, and the rest 73% live without pensions, facing many difficulties. Vietnam is a developing country, and social security policies are in the process of completion. Therefore, improving the social security system, as well as creating opportunities for active ageing and wellbeing for older people, was one of the strategic goals of the Long-Term Development Plan that Vietnam’s government has been carried out for more than half a century. In this article, the issues of demographic change, population ageing, social security system, social assistance and pension benefits as the actual sociological problem are studied by using quantitative methods and comparative analysis approach to confirm the research questions; the proposals made by the authors can be helpful for today’s reforming social security system in Vietnam and social policy making in context of ageing in Vietnam where a large number of elderly people do not have any social benefits

Factors Affecting the Profitability of Cement Manufacturing Enterprises in Tuyen Quang Province

This study focuses on analyzing the factors affecting the production and business efficiency of cement manufacturing enterprises in Tuyen Quang province. Production and business efficiency is measured by profitability ratios including return on assets (ROA), return on equity (ROE) and return on sales (ROS). Using a quantitative research method through estimating a linear regression model based on data of two cement manufacturing companies in the period 2019-2021, the research results show that the factors affecting business efficiency of cement manufacturing enterprises in Tuyen Quang province include size of enterprise, cost ratio, average collection period, inventory turnover, fixed assets turnover and debt ratio

Domestic Enterprises in Supply Chains of Multinational Corporations: Vietnam Case Study

Abstract—Vietnam’s international integration has also changed rapidly with the trend of gradually entering the global supply chain (GSC) and global value chain (GVC) that help create a powerful dynamic for national economic development. However, the main activities of the manufacturing subsidiaries of reputable MNCs located in Vietnam often specialize in the final product assembly (final assembly schedule-FAS). Correlatively, some Vietnam’s domestic enterprises (VDEs) are engaged either in outsourcing, or become MNC suppliers, but their position in the SCs is unstable. In this article, synthesis methodology and framework of analysis were used to clarify the status of Vietnam’s suppliers and their limited power in buyer-supplier relationships and to make some recommendations that may be useful to related parties. The article also provides an overview of the unprecedented impacts of the COVID-19 pandemic on Vietnamese businesses, and the appropriate responses to reshape and strengthen SCs for production in VietNam

Perceptual Learning Style Preference for Medical Terminology: A Case Study of 20 ESP Students

Due to the globalization, there has been a great demand for learning English for Specific Purposes (ESP) in different fields. How to teach medical terminology effectively to pre-service medical professionals is one of the main challenges that ESP instructors encounter in their English in Medicine classrooms. A variety of factors, including but are not limited to student learning style preference, prior knowledge, classroom facilities should be considered. In this study, we conducted a case study of 20 students in an ESP class to explore their learning style preference. This study employed two data collection instruments: questionnaire and interview. Data analysis interestingly revealed that the location of students’ secondary education has an influence on their perceptual learning style preference of medical terminology at tertiary level. Drawing on the results, this study argues for a balance between student learning preference and teaching mythology. Keywords: ESP, perceptual learning style preference, medical terminology DOI: 10.7176/JLLL/66-06 Publication date:March 31st 202

A Phenomenological Study of Writing Error Correction: Perspectives of an English Language Learner in Two Different Contexts

In second language writing, student errors in grammatical structure, word choice, or idea expression are a common phenomenon. How these errors should be treated poses a challenging question. In this qualitative study I attempt to explore the impacts of some current methods of error correction in second language writing through a phenomenological study of an English language learners who studied in Vietnam and the United States. The study participant was invited to reflect his learning experiences in an interview with the researcher. Theme-based analysis of the interview revealed that the manner in which teachers correct errors can have a considerable impact on student motivation to improve second language writing. The study participant indicated that over-correction of language errors inhibited his motivation to write in second language and that language teachers may consider providing an adequate amount of correction and feedback. Pedagogical recommendations are made to help teachers make appropriate corrections for their students’ writing papers. Keywords: second language writing, error correction, theme analysis DOI: 10.7176/JLLL/94-02 Publication date: December 31st 202

Anti-DreamBooth: Protecting users from personalized text-to-image synthesis

Text-to-image diffusion models are nothing but a revolution, allowing anyone, even without design skills, to create realistic images from simple text inputs. With powerful personalization tools like DreamBooth, they can generate images of a specific person just by learning from his/her few reference images. However, when misused, such a powerful and convenient tool can produce fake news or disturbing content targeting any individual victim, posing a severe negative social impact. In this paper, we explore a defense system called Anti-DreamBooth against such malicious use of DreamBooth. The system aims to add subtle noise perturbation to each user's image before publishing in order to disrupt the generation quality of any DreamBooth model trained on these perturbed images. We investigate a wide range of algorithms for perturbation optimization and extensively evaluate them on two facial datasets over various text-to-image model versions. Despite the complicated formulation of DreamBooth and Diffusion-based text-to-image models, our methods effectively defend users from the malicious use of those models. Their effectiveness withstands even adverse conditions, such as model or prompt/term mismatching between training and testing. Our code will be available at \href{https://github.com/VinAIResearch/Anti-DreamBooth.git}{https://github.com/VinAIResearch/Anti-DreamBooth.git}.Comment: Project page: https://anti-dreambooth.github.io

Extended state observer based load frequency controller for three area interconnected power system

In this paper, we develop a new extended state variable observer based LFC scheme for three-area interconnected power systems. The extended state observerbased load frequency controllers are developed which utilize disturbance estimation techniques. The propose control approach assures that the fluctuating things of the load frequencies reaches to a safer range and the load frequencies can also be made at a very minimal not to have an effect on power quality and power flow in multi-area interconnected power system. The results of the simulations using MATLAB/SIMULINK done did not only address that the proposed newly control method works effectively but also change powerfully the parameter variations of the interconnected areas of the power system. Especially, it works very well to limit disturbances impact on interconnected areas in the system. Therefore, the performance of interconnected power system under different multi-conditions is simulated with the new control method to demonstrate the feasibility of the system

Attention correlated appearance and motion feature followed temporal learning for activity recognition

Recent advances in deep neural networks have been successfully demonstrated with fairly good accuracy for multi-class activity identification. However, existing methods have limitations in achieving complex spatial-temporal dependencies. In this work, we design two stream fusion attention (2SFA) connected to a temporal bidirectional gated recurrent unit (GRU) one-layer model and classified by prediction voting classifier (PVC) to recognize the action in a video. Particularly in the proposed deep neural network (DNN), we present 2SFA for capturing appearance information from red green blue (RGB) and motion from optical flow, where both streams are correlated by proposed fusion attention (FA) as the input of a temporal network. On the other hand, the temporal network with a bi-directional temporal layer using a GRU single layer is preferred for temporal understanding because it yields practical merits against six topologies of temporal networks in the UCF101 dataset. Meanwhile, the new proposed classifier scheme called PVC employs multiple nearest class mean (NCM) and the SoftMax function to yield multiple features outputted from temporal networks, and then votes their properties for high-performance classifications. The experiments achieve the best average accuracy of 70.8% in HMDB51 and 91.9%, the second best in UCF101 in terms of 2DConvNet for action recognition

Insiders, Outsiders and Performance of Vietnamese Firms

The consensus in the finance literature is that a large proportion of inside ownership (defined as greater than 5% share ownership by non-institutional holders, managerial holdings, founding family holdings, cross-shareholdings by affiliated firms and ownership by creditors) tends to be associated with more unsatisfactory performance (as measured by ROE or ROA) when compared to firms with lower inside ownership, all else equal. However, this need not be the case if insiders act as monitors of the firm and have the same interest in returns as outsiders.  Ownership structure and firm level financial performance have not been widely studied in Vietnam.  Using data from 729 listed firms in Vietnam for 2018, we test the hypothesis that greater insider ownership has a negative impact on firm performance. We found that Vietnam's insiders play a monitoring role, exercising their relative power to ensure the firm's profitable functioning. These findings are inconsistent with research on Japanese groupings, as well as other findings. The Vietnamese stock market does not appear to be negatively affected by insider influence; indeed, insiders appear to act as positive monitors.