Central limit theorem for the functional of jump Markov process. Nguyễn Văn Hữu, Vương Quân Hoàng và Trần Minh Ngọc. Báo cáo: Hội nghị toàn quốc lần thứ III “Xác suất - Thống kê: Nghiên cứu, ứng dụng và giảng dạy” (tr. 34). Ba Vì, Hà Tây, ngày 12-14 tháng 05 năm 2005. Viện Toán học / Trường Đại học Khoa học tự nhiên / Đại học Quốc gia Hà Nội.

Some conditions are given to ensure that for a jump homogeneous Markov process $\{X(t),t\ge 0\}$ the law of the integral functional of the process $T^{-1/2} \int^T_0\varphi(X(t))dt$ converges to the normal law $N(0,\sigma^2)$ as $T\to \infty$, where $\varphi$ is a mapping from the state space $E$ into $\bbfR$.

This paper applies a proposed modified stochastic fractal search algorithm (MSFS) for dealing with all constraints of optimal reactive power dispatch (ORPD) and finding optimal solutions for three different cases including power loss optimization, voltage deviation optimization, and L-index optimization. The proposed MSFS method is newly constructed in the paper by modifying three new solution update mechanisms on standard stochastic fractal search algorithm (SSFS). The first modification is to keep only one formula and abandon one formula in the diffusion process (...) while the second modification and the third modification are used in the first update and the second update. In two updates of SSFS, solutions with low quality are updated with high probability while other solutions with high quality do not get chances to be updated. This manner results in the fact that some promising solutions around the high quality solutions can be missed. In order to tackle this restriction, the second modification of MSFS is to newly update the worst solutions in the first update and the best solutions in the second update. In the third modification, all existing formulas of SSFS in the two updates are abandoned and the same new proposed technique is used for updating such solutions in two updates. Compared to SSFS, the three modifications can bring advantages to MSFS such as using smaller number of produced solutions per iteration, spending shorter execution time, finding better optimal solutions, and owning more stable search ability. Furthermore, the proposed method also sees its effectiveness and robustness over SSFS by testing on IEEE 30-bus system and IEEE 118-bus system with three different single objectives for each system. The proposed method can find less minimum, average, and maximum for all the cases in addition to faster search speed. Besides, the proposed method is also compared to other methods such as PSO-based method group, GA-based method group, DE-based method group, and other recent methods. Result comparisons also indicate that the proposed method can be more efficient than almost all these methods with respect to less minimum and smaller values of control parameters. As a result, evaluation of the performance of the proposed method is that it should be used for seeking solutions of ORPD problem. (shrink)

Using a nationwide survey of provincial institutional quality and a sample of private manufacturing small and medium scale enterprises, this paper contributes to the literature by considering for the first time the effects of corruption on the financial performance of Vietnamese private SMEs. Interestingly, contrary to previous findings, we find that corruption when measured by a dummy variable, does not affect firms’ financial performance after controlling for heterogeneity, simultaneity and dynamic endogeneity. However, the intensity of bribery and the majority of (...) the forms of corruption were found to have negative impacts on firms’ financial performance. Hence, a typical approach using only a dummy variable for bribery might not adequately evaluate the impact of bribe intensity or even ignores the negative impacts of some types of bribes on firms’ financial performance. The findings suggest that anti-corruption measures are vital for the development of the Vietnamese private SMEs. (shrink)

Objectives: The official implementation of clinical pharmacy in Vietnam has arrived relatively late, resulting in various stressors. This study aims to evaluate job stress level and suggest viable solutions.Methods: A cross-sectional study was conducted on clinical pharmacists in 128 hospitals in Ho Chi Minh City. Job stress questions were derived from the Healthcare Profession Stress Inventory.Results: A total of 197 CPs participated, giving a response rate of 82.4%. Participants were found to have moderate job stress with an overall mean stress (...) score of 1.5 and stress rate of 52.8%. The sample size was statistically adequate and the HPSI was valid and reliable. Patient care responsibility was the main stressor, especially in public hospitals, followed by job conflicts. Lack of experience, low income, and inability to participate in clinical ward rounds caused significant stress to CPs regarding job recognition and job uncertainty. More practice-oriented training programs in bachelor curricula and clinical practice should be applied to help CPs gain more experience, self-confidence, and diminish job stress.Conclusion: CPs in HCMC have moderate stress. More practice-oriented training programs should be prioritized to lessen stress for CPs. (shrink)

This study aims to predict the shear strength of reinforced concrete deep beams based on artificial neural network using four training algorithms, namely, Levenberg–Marquardt, quasi-Newton method, conjugate gradient, and gradient descent. A database containing 106 results of RC deep beam shear strength tests is collected and used to investigate the performance of the four proposed algorithms. The ANN training phase uses 70% of data, randomly taken from the collected dataset, whereas the remaining 30% of data are used for the algorithms’ (...) evaluation process. The ANN structure consists of an input layer with 9 neurons corresponding to 9 input parameters, a hidden layer of 10 neurons, and an output layer with 1 neuron representing the shear strength of RC deep beams. The performance evaluation of the models is performed using statistical criteria, including the correlation coefficient, root mean square error, mean absolute error, and mean absolute percentage error. The results show that the ANN-CG model has the best prediction performance with R = 0.992, RMSE = 14.02, MAE = 14.24, and MAPE = 6.84. The results of this study show that the ANN-CG model can accurately predict the shear strength of RC deep beams, representing a promising and useful alternative design solution for structural engineers. (shrink)

Nowadays, the power systems are getting more and more complicated because of the delays introduced by the communication networks. The existence of the delays usually leads to the degradation and/or instability of power system performance. On account of this point, the traditional load frequency control approach for power system sketches a destabilizing impact and an unacceptable system performance. Therefore, this paper proposes a new LFC based on adaptive integral second-order sliding mode control approach for the large-scale power system with communication (...) delays. First, a new linear matrix inequality is derived to ensure the stability of whole power systems using Lyapunov stability theory. Second, an AISOSMC law is designed to ensure the finite time reachability of the system states. To the best of our knowledge, this is the first time the AISOSMC is designed for LFC of the LSPSwCD. In addition, the report of testing results presents that the suggested LFC based on AISOSMC can not only decrease effectively the frequency variation but also make successfully less in mount of power oscillation/fluctuation in tie-line exchange. (shrink)

The Coronavirus disease pandemic of 2019 is a vast worldwide public health hazard, impacting people of all ages and socioeconomic statuses. Vaccination is one of the most effective methods of controlling a pandemic like COVID-19. This study aims to investigate the relationship between the number of vaccination injections and fear of COVID-19 and test whether beliefs benefit from vaccination COVID-19 mediate the effect of fear of COVID-19 on the number of vaccination injections. A total of 649 Vietnamese adults were enrolled (...) online to finish answering, including scales The Health Belief Model (HBM) and The Fear of COVID-19 (FCV-19S), consisting of 340 (52.4%) males and 309 (47.6%) females. The data were analyzed using variance, regression, and a simple mediation model. The total score of COVID-19 fear wasM= 22.26,SD= 5.49. Vietnamese fear of COVID-19 was at a medium level. Our results suggest that 18- to 20-year-olds are more fearful of COVID-19 than others. People who received the first dosage exhibited a greater fear of COVID-19 than those who received the second dose and were not inoculated. Additionally, the beliefs benefit of vaccination COVID-19 has a role in the relationship between the number of vaccination injections and fear of COVID-19. During the pandemic, adults in Vietnam are more afraid of COVID-19 than during prior outbreaks. Besides, the Vietnamese populace demonstrated a considerable demand for and high acceptability of the COVID-19 vaccine. The current study indicates that psychological counselors and therapists should counsel clients on the value of vaccination and address the fear of COVID-19 as public understanding of the benefits of vaccines increases. To further clarify the effect of this issue on the correlation between fear of COVID-19 and the number of vaccinations, the results of this study indicate that the existing vaccine communication factor for COVID-19 vaccination should be modified to increase confidence in the benefits of immunization. (shrink)

Vietnam, with a geographical proximity and a high volume of trade with China, was the first country to record an outbreak of the new Coronavirus disease (COVID-19), caused by the Severe Acute Respiratory Syndrome Coronavirus 2 or SARS-CoV-2. While the country was expected to have a high risk of transmission, as of April 4, 2020—in comparison to attempts to contain the disease around the world—responses from Vietnam are being seen as prompt and effective in protecting the interests of its citizens, (...) with 239 confirmed cases and no fatalities. This study analyzes the situation in terms of Vietnam’s policy response, social media and science journalism. A self-made web crawl engine was used to scan and collect official media news related to COVID-19 between the beginning of January and April 4, yielding a comprehensive dataset of 14,952 news items. The findings shed light on how Vietnam—despite being under-resourced—has demonstrated political readiness to combat the emerging pandemic since the earliest days. Timely communication on any developments of the outbreak from the government and the media, combined with up-to-date research on the new virus by the Vietnamese science community, have altogether provided reliable sources of information. By emphasizing the need for immediate and genuine cooperation between government, civil society and private individuals, the case study offers valuable lessons for other nations concerning not only the concurrent fight against the COVID-19 pandemic but also the overall responses to a public health crisis. (shrink)

In this work we consider the problem of the approximate hedging of a contingent claim in the minimum mean square deviation criterion. A theorem on martingale representation in case of discrete time and an application of the result for semi-continuous market model are also given.

Cảm xúc là yếu tố cơ bản thúc đẩy con người đưa ra quyết định và xử lý thông tin. Sợ hãi là một trong những cảm xúc phổ biến nhất ảnh hưởng đến hành vi của nhà đầu tư cá nhân trên thị trường chứng khoán. Mặc dù nhiều nghiên cứu đã được thực hiện để khám phá tác động của nỗi sợ hãi đối với hiệu quả đầu tư và hành vi giao dịch của nhà đầu tư cá (...) nhân, nhưng vẫn còn rất ít thông tin về các yếu tố ảnh hưởng đến nỗi sợ hãi của nhà đầu tư cá nhân trong thời kỳ thị trường sụt giảm (hoặc những giai đoạn cực kỳ biến động). Vì thế, nghiên cứu này được thực hiện để tìm hiểu liệu các nguồn thông tin ảnh hưởng đến quyết định đầu tư của nhà đầu tư có ảnh hưởng đến sự sợ hãi của họ khi khủng hoảng xảy ra hay không. Nghiên cứu đã sử dụng phương pháp phân tích Bayesian Mindsponge Framework (BMF) trên bộ dữ liệu từ 1526 nhà đầu tư Trung Quốc và Việt Nam. Kết quả nghiên cứu chỉ ra rằng các nhà đầu tư tiếp cận các loại thông tin khác nhau khi đưa ra quyết định đầu tư sẽ ảnh hưởng đến tần suất phản ứng sợ hãi khác nhau. Cụ thể, các nhà đầu tư tham khảo thông tin từ chuyên gia hoặc tự phân tích khi đưa ra quyết định đầu tư ít bị đóng băng (biểu hiện của tâm lý sợ hãi) hơn trong thời kỳ thị trường sụt giảm. Ngược lại, những người đưa ra quyết định đầu tư dựa trên thông tin từ người quen hay bạn bè và trực giác sẽ bị đóng băng thường xuyên hơn. Kết quả nghiên cứu này giúp gợi ý nhà đầu tư cá nhân nên trang bị cho mình các kiến thức về tài chính cũng như tham khảo các ý kiến chuyên gia trên thị trường, hoặc những nguồn thông tin đáng tin cậy, khi đưa ra quyết định đầu tư. Bên cạnh đó, cơ quan quản lý thị trường cần có hoạt động phổ cập kiến thức về thị trường chứng khoán, hạn chế ảnh hưởng của các kênh thông tin không chính thống, và khuyến khích nhà đầu tư ít kinh nghiệm mua chứng chỉ quỹ của các quỹ đầu tư. (shrink)

Nghiên cứu này được thực hiện để tìm hiểu liệu các nguồn thông tin ảnh hưởng đến quyết định đầu tư của nhà đầu tư có ảnh hưởng đến sự sợ hãi của họ khi khủng hoảng xảy ra hay không? Nghiên cứu đã sử dụng phương pháp phân tích Bayesian Mindsponge Framework (BMF) trên bộ dữ liệu từ 1,526 nhà đầu tư Trung Quốc và Việt Nam. Kết quả nghiên cứu chỉ ra rằng, các nhà đầu tư tiếp cận (...) các loại thông tin khác nhau khi đưa ra quyết định đầu tư sẽ ảnh hưởng đến tần suất phản ứng sợ hãi khác nhau. Cụ thể, các nhà đầu tư tham khảo thông tin từ chuyên gia hoặc tự phân tích khi đưa ra quyết định đầu tư ít bị đóng băng (biểu hiện của tâm lý sợ hãi) hơn trong thời kỳ thị trường sụt giảm. Ngược lại, những người đưa ra quyết định đầu tư dựa trên thông tin từ người quen hay bạn bè và trực giác sẽ bị đóng băng thường xuyên hơn. -/- [English Abstract] This study was conducted to explore whether the sources of information priority during decision-making contribute to their fear reactions during crises. The research utilized the Bayesian Mindsponge Framework (BMF) analytics on data collected from 1,526 investors in China and Vietnam. The study results indicated that investors prioritizing different types of information when making investment decisions would have different frequency of fear reactions. Specifically, investors who prioritized information from experts or conducted self-analysis when making investment decisions experienced less freezing (an expression of psychological fear) during market downturns. Conversely, those who based their investment decisions on information from acquaintances, friends, and intuition tended to experience freezing more frequently. (shrink)

There is a prominent phenomenon in the religious life of Vietnam, which is the emergence of “new religions”. These phenomena have not only made the religious space of the nation more complex and multi-dimensional but also challenged stability and sustainable development within the religious communities in this key economic region. Having studied the new religious phenomenon in recent years, we have noted its progress and widespread characteristics within the ethnic communities. While it may appear that "new religion" is a simple (...) and gentle concept and practice, it is in fact, intrinsically related to and has significant implications on the social life of the community members. However, there is a growing concern, considerable suspicion and anxiety with regards to its impacts on individuals, families, social and cultural traditions, beliefs and religions; many have opined that it is radically changing the peaceful cohabitation of diverse religious traditions, revealing a potential for conflicts across groups. Based on the religious reality of the Southern region of Vietnam, the Center for Religion Studies has implemented a project regarding new religions in Ho Chi Minh City and the problems faced by the religious policy in Vietnam. This article is an overview of the results of this project. (shrink)

This paper is an empirical analysis of how culture, specifically tradition, affects well-being, i.e., happiness, life satisfaction, and financial satisfaction, along with socioeconomic factors in East Asia. Ordered probit regression model results show that women have higher happiness and satisfaction levels than men even in Confucian cultures in which men generally receive more favourable conditions than women. Additionally, marital status or the impact of religion had strong and positive effects on happiness and sometimes on life satisfaction but not on financial (...) satisfaction. Interestingly, tradition has a statistically significant and important effect on both life and financial satisfaction. Finally, the results show that individuals who value tradition greater also have higher levels of financial satisfaction. (shrink)

As a generation of ‘digital natives,’ secondary students who were born from 2002 to 2010 have various approaches to acquiring digital knowledge. Digital literacy and resilience are crucial for them to navigate the digital world as much as the real world; however, these remain under-researched subjects, especially in developing countries. In Vietnam, the education system has put considerable effort into teaching students these skills to promote quality education as part of the United Nations-defined Sustainable Development Goal 4 (SDG4). This issue (...) has proven especially salient amid the COVID−19 pandemic lockdowns, which had obliged most schools to switch to online forms of teaching. This study, which utilizes a dataset of 1061 Vietnamese students taken from the United Nations Educational, Scientific, and Cultural Organization (UNESCO)’s “Digital Kids Asia Pacific (DKAP)” project, employs Bayesian statistics to explore the relationship between the students’ background and their digital abilities. Results show that economic status and parents’ level of education are positively correlated with digital literacy. Students from urban schools have only a slightly higher level of digital literacy than their rural counterparts, suggesting that school location may not be a defining explanatory element in the variation of digital literacy and resilience among Vietnamese students. Students’ digital literacy and, especially resilience, also have associations with their gender. Moreover, as students are digitally literate, they are more likely to be digitally resilient. Following SDG4, i.e., Quality Education, it is advisable for schools, and especially parents, to seriously invest in creating a safe, educational environment to enhance digital literacy among students. (shrink)

We present our method for tackling a legal case retrieval task by introducing our method of encoding documents by summarizing them into continuous vector space via our phrase scoring framework utilizing deep neural networks. On the other hand, we explore the benefits from combining lexical features and latent features generated with neural networks. Our experiments show that lexical features and latent features generated with neural networks complement each other to improve the retrieval system performance. Furthermore, our experimental results suggest the (...) importance of case summarization in different aspects: using provided summaries and performing encoded summarization. Our approach achieved F1 of 65.6% and 57.6% on the experimental datasets of legal case retrieval tasks. (shrink)

The COVID-19 pandemic prompted a nudge for public–private cooperation in healthcare to rapidly cope with limited resource. However, Vietnam’s historical reliance on a public healthcare system, combined with a traditional emphasis on socialization in the Polanyian sense, hindered the swift integration of the private sector. This research investigates path dependency in Vietnam’s public health sector, using theories including path dependency, Karl Polanyi’s double movement with legal analysis method to analyze the interplay of historical decisions, and socialist policies in healthcare. Recognizing (...) these institutional and market governance flaws, a deeper understanding of the role of law becomes vital in crafting strategies for a more resilient and sustainable healthcare system in Vietnam. In this article, Ho Chi Minh City is chosen as a case study due to its notable mix of public–private healthcare facilities and its status as a leading area in infection cases during the third COVID-19 wave. The article suggests that there should be a change in the way public and private sectors work together, one that is more in line with market-driven solutions which requires solid legal framework for cooperation beyond merely mobilizing resources. (shrink)

This paper investigates the task of reference resolution in the legal domain. This is a new interesting task in Legal Engineering research. The goal is to create a system which can automatically detect references and then extracts their referents. Previous work limits itself to detect and resolve references at the document targets. In this paper, we go a step further in trying to resolve references to sub-document targets. Referents extracted are the smallest fragments of texts in documents, rather than the (...) entire documents that contain the referenced texts. Based on analyzing the characteristics of reference phenomena in legal texts, we propose a four-step framework to deal with the task: mention detection, contextual information extraction, antecedent candidate extraction, and antecedent determination. We also show how machine learning methods can be exploited in each step. The final system achieves 80.06 % in the F1 score for detecting references, 85.61 % accuracy for resolving them, and 67.02 % in the F1 score for the end-to-end setting task on the Japanese National Pension Law corpus. (shrink)

The digital era brings various benefits to adolescents. However, operating on the digital environment without sufficient knowledge and skills will expose them to multiple types of risks, especially in the country with low digital safety education rate like Vietnam. The current study examines factors that can contribute to cultivating adolescents’ digital resilience using the information-processing reasoning of the Mindsponge Theory. A UNESCO dataset of 1061 Vietnamese high school students was analyzed using the Bayesian Mindsponge Framework analytics. It is found that (...) adolescents’ daily Internet usage frequency, parents’ Internet safety guidance, and teachers’ safety guidance are positively associated with digital resilience. However, the effects of parents’ and teachers’ Internet safety guidance on digital resilience are conditional on the daily Internet usage frequency. Parents’ guidance only enhances adolescents’ digital resilience if they use the Internet less than four hours per day. In contrast, the positive effect of teachers’ guidance on adolescents’ digital resilience becomes stronger when the students spend more time on the Internet (more than 1 hour). Based on these findings, we suggest that adolescents can learn to minimize risks and protect themselves by exposing more to the digital environment. Parents’ and teachers’ supports are important in enhancing adolescents’ capability to deal with digital threats, but types of supports need to be carefully considered to avoid reverse impacts on adolescents’ resilience. (shrink)

As a model for processing information about people's perceptions to understand the complex world and society in which they live, the cultural schema serves as a key concept in Cultural Linguistics when directing to the perception and processing of information about people, and social groups, and events. Cultural schema theory is valuable in deciphering culturally structured concepts, covering the entire range of human experience expressed in many fields such as education, belief, religion, etc. Through the practice of sacred rituals, each (...) religious believer can form his system of ideas about entities in his or her belief world. Those experiences and experiences are conceptualized through the language picture. In the process of cultural development and integration, the cultural awareness of the Catholic community also reflects certain changes in Catholicism in the West in harmony with the customs and beliefs of Eastern countries. like Vietnam, expressed through the practice of funeral rites and traditional marriage of the Vietnamese. In this article, by using quantitative and qualitative methods, we have conducted a character analysis of the above cultural schemas based on the corpus of 120 discourses drawn during the implementation perform funeral and marriage rites for Vietnamese Catholics. Research results show that cultural schemas (event diagrams, role schemas, image schemas, propositional schemas, and emotional schemas) reflect the cultural knowledge (beliefs, standards, principles, and expectations) of each Vietnamese Catholic about DEATH and MARRIAGE as a journey or a new transformation in one's life... That is the basis for them to transmit achieve and explain the basic values of these two concepts, helping us to understand more deeply the mind of the Vietnamese Catholic community in Vietnam when performing two important rituals in human life in reality. (shrink)

Plagiarism in higher education has become widespread among students in Vietnam. This paper aims to examine the seriousness of the problem by comparing the severity of plagiarism in two universities, one of which uses Turnitin software to check its student reports. For that purpose, 977 samples have been drawn from 1434 required graduation reports written by senior undergraduates in the economics and management field from 2013 to 2015. Turnitin’s “Similarity Index” was used to check for alleged plagiarism, which was found (...) to be more widespread at the university not using Turnitin. At that university, 91.7% of the graduation reports were defined as plagiarized, while 61.7% of the reports were plagiarized at the university using the software. The main source of this problem was the use of information from the internet without citing the original authors. (shrink)

Today, soft computing is a field that is used a lot in solving real-world problems, such as problems in economics, finance, banking... With the aim to serve for solving the real problem, many new theories and/or tools which were proposed, improved to help soft computing used more efficiently. We can mention some theories as fuzzy sets theory (L. Zadeh, 1965), intuitionistic fuzzy set (K Atanasov, 1986), neutrosophic set (F. Smarandache 1999). In this paper, we introduce a new notion of sup (...) port-neutrosophic set (SNS), which is the combination a neutrosophic set with a fuzzy set. So, SNS set is a direct extension of fuzzy set and neutrosophic sets (F. Smarandache). Then, we define some operators on the support-neutrosophic sets, and investigate some properties of these operators. (shrink)

Using a nationwide survey of provincial institutional quality and a sample of private manufacturing small and medium scale enterprises, this paper contributes to the literature by considering for the first time the effects of corruption on the financial performance of Vietnamese private SMEs. Interestingly, contrary to previous findings, we find that corruption when measured by a dummy variable, does not affect firms’ financial performance after controlling for heterogeneity, simultaneity and dynamic endogeneity. However, the intensity of bribery and the majority of (...) the forms of corruption were found to have negative impacts on firms’ financial performance. Hence, a typical approach using only a dummy variable for bribery might not adequately evaluate the impact of bribe intensity or even ignores the negative impacts of some types of bribes on firms’ financial performance. The findings suggest that anti-corruption measures are vital for the development of the Vietnamese private SMEs. (shrink)

Legal text retrieval serves as a key component in a wide range of legal text processing tasks such as legal question answering, legal case entailment, and statute law retrieval. The performance of legal text retrieval depends, to a large extent, on the representation of text, both query and legal documents. Based on good representations, a legal text retrieval model can effectively match the query to its relevant documents. Because legal documents often contain long articles and only some parts are relevant (...) to queries, it is quite a challenge for existing models to represent such documents. In this paper, we study the use of attentive neural network-based text representation for statute law document retrieval. We propose a general approach using deep neural networks with attention mechanisms. Based on it, we develop two hierarchical architectures with sparse attention to represent long sentences and articles, and we name them Attentive CNN and Paraformer. The methods are evaluated on datasets of different sizes and characteristics in English, Japanese, and Vietnamese. Experimental results show that: (i) Attentive neural methods substantially outperform non-neural methods in terms of retrieval performance across datasets and languages; (ii) Pretrained transformer-based models achieve better accuracy on small datasets at the cost of high computational complexity while lighter weight Attentive CNN achieves better accuracy on large datasets; and (iii) Our proposed Paraformer outperforms state-of-the-art methods on COLIEE dataset, achieving the highest recall and F2 scores in the top-N retrieval task. (shrink)

Electroencephalogram plays an essential role in analysing and recognizing brain-related diseases. EEG has been increasingly used as a new type of biometrics in person identification and verification systems. These EEG-based systems are important components in applications for both police and civilian works, and both areas process a huge amount of EEG data. Storing and transmitting these huge amounts of data are significant challenges for data compression techniques. Lossy compression is used for EEG data as it provides a higher compression ratio (...) than lossless compression techniques. However, lossy compression can negatively influence the performance of EEG-based person identification and verification systems via the loss of information in the reconstructed data. To address this, we propose introducing performance measures as additional features in evaluating lossy compression techniques for EEG data. Our research explores if a common value of CR exists for different systems using datasets with lossy compression that could provide almost the same system performance with those using datasets without lossy compression. We performed experiments on EEG-based person identification and verification systems using two large EEG datasets, CHB MIT Scalp and Alcoholism, to investigate the relationship between standard lossy compression measures and our proposed system performance measures with the two lossy compression techniques, discrete wavelet transform—adaptive arithmetic coding and discrete wavelet transform—set partitioning in hierarchical trees. Our experimental results showed a common value of CR exists for different systems, specifically, 70 for person identification systems and 50 for person verification systems. (shrink)

Transformer is a neural machine translation model which revolutionizes machine translation. Compared with traditional statistical machine translation models and other neural machine translation models, the recently proposed transformer model radically and fundamentally changes machine translation with its self-attention and cross-attention mechanisms. These mechanisms effectively model token alignments between source and target sentences. It has been reported that the transformer model provides accurate posterior alignments. In this work, we empirically prove the reverse effect, showing that prior alignments help transformer models produce (...) better translations. Experiment results on Vietnamese-English news translation task show not only the positive effect of manually annotated alignments on transformer models but also the surprising outperformance of statistically constructed alignments reinforced with the flexibility of token-type selection over manual alignments in improving transformer models. Statistically constructed word-to-lemma alignments are used to train a word-to-word transformer model. The novel hybrid transformer model improves the baseline transformer model and transformer model trained with manual alignments by 2.53 and 0.79 BLEU, respectively. In addition to BLEU score, we make limited human judgment on translation results. Strong correlation between human and machine judgment confirms our findings. (shrink)

AimHealthcare workers have directly provided care for COVID-19 patients, and have faced many additional sources leading to poor mental health. The study aimed to investigate the mental health problems and related factors among healthcare staff in Vietnam.MethodsA descriptive cross-sectional mixed methods study, combining quantitative and qualitative research methods, was performed among 400 healthcare workers working at the National Hospital for Tropical Diseases and Ninh Binh General Hospital from the first day of treatment for COVID-19 patients to May 01, 2020.ResultsThe results (...) showed that 8.0% of participants had stress, 17.5% of participants had anxiety, and 14.8% of participants had depression. Approximately 50% of participants reported that they had at least one of these symptoms. The findings illustrated that stress, anxiety, and depression were associated with the position in a hospital, health status during the COVID-19 pandemic, family members/relatives infected with COVID-19, physical and mental support from friends, family, and community, department, years of working, and the average work hours per day of healthcare workers exposed to COVID-19.ConclusionDuring the COVID-19 pandemic, healthcare workers who worked in the hospital providing treatment and care for COVID-19 patients dealt with mental health problems such as stress, anxiety, and depression. It is necessary to promote mental health among healthcare workers, to contribute to the fight against the COVID-19 outbreak in Vietnam. (shrink)

IntroductionThis study aimed to explore the mental wellbeing profiles and their related factors among urban young adults in Vietnam.MethodsA cross-sectional study was conducted in Hanoi, which is the capital of Vietnam. There were 356 Vietnamese who completed the Mental Health Inventory-5 questionnaire. The Latent Profile Analysis was used to identify the subgroups of mental wellbeing through five items of the MHI-5 scale as the continuous variable. Multinomial logistic regression was used to determine factors related to subgroups.ResultsThree classes represented three levels (...) of MHI-5 score, which included “Poor mental health,” “Fair mental health,” and “Good mental health,” were, respectively, 14.3, 46.6, and 39.0%. Compared to a low household economy, participants with an average household economy had 2.11 and 4.79 times higher odds of being in a good mental health class relative to fair and poor mental health classes. Respondents with more than two acute symptoms had 3.85 times higher odds of being in a good mental health class relative to a poor mental health class, as compared to those without acute symptoms. Regarding the measurement of the Perceived Social Support Scale, people having support from their family had 1.80 and 2.23 times higher odds of being in classes of fair and good mental health relative to the poor mental health class; and participants having friend support also had 1.87 times higher odds of being in a good mental health class compared with the fair mental health class, as the MSPSS score increased by 1 unit. People with Rosenberg’s self-esteem scale increased by 1 score, those who had 1.17, 1.26, and 1.47 times higher odds of being in a good compared to fair mental health class, fair compared to poor mental health class, and good compared to poor mental health class, respectively.ConclusionOur findings were given to promote a new classification method for mental health screening among the general population. The current findings could be used as evidence to develop policies and plans that focus on encouraging early screening for mental health problems among the general young population in the future. (shrink)

This paper presents a novel improved firefly algorithm (IFA) to deal the problem of the optimal operation of thermal generating units (OOTGU) with the purpose of reducing the total electricity generation fuel cost. The proposed IFA is developed based on combining three improvements. The first is to be based on the radius between two solutions, the second is updated step size for each considered solution based on different new equations, and the third is to slightly modify a formula producing new (...) solutions by using normally distributed random numbers and canceling uniform random numbers of conventional firefly algorithm (FA). The effect of each proposed improvement on IFA is investigated by executing five benchmark functions and two different systems. The performance of IFA is investigated on six other study cases consisting of different types of objective function and complex level of constraints. The objective function considers single fuel with quadratic form and nonconvex form, and multifuels with the sum of several quadratic and nonconvex functions while a set of constraints taken into account are power loss, prohibited zone, ramp rate limit, spinning reserve, and all constraints in transmission power networks. The obtained results indicate the proposed improvements in terms of high optimal solution quality, stabilization of search ability, and fast convergence compared with FA. In addition, the comparisons with other methods also lead to a conclusion that the proposed method is a very promising optimization tool for systems with quadratic fuel cost function and with complicated constraints. (shrink)

This paper is the first major and a thorough study on the Merger & Acquisition (M&A) activities in Vietnam’s emerging market economy, covering almost entirely the M&A history after the launch of Doi Moi. The surge in these activities since mid-2000s by no means incidentally coincides with the jump in FDI and FPI inflows into the nation. M&A industry in Vietnam has its socio-cultural traits that could help explain economic happenings, with anomalies and transitional characteristics, far better than even the (...) most complete set of empirical data. Proceeds from the sales of existing assets and firms have mainly flowed into the highly speculative industries of securities, banking, non-bank financials, portfolio investments and real estates. The impact of M&A on Vietnam’s long-term prosperity is thus highly questionable. An observable high degree of volatility in the M&A processes would likely blow out the high ex ante expectations by many speculators, when ex post realizations finally arrive. The effect of the past M&A evolution in Vietnam has been indecisively positive or negative, with significant presence of rent-seeking and likelihood of causing destructive entrepreneurship. From a socio-economic and cultural view, the degree of positive impacts may result in domestic entrepreneurship which will perhaps be the single most important indicator. (shrink)

As conventionally understood, corruption relies on a set of universally agreed rules that determine what constitutes the appropriate allocation of organizational resources. This article explores whether rule-based approaches to corruption are applicable where business organizations, such as public private partnerships, and the public fundamentally disagree about what constitutes an appropriate allocation of resources. Drawing on empirical research about PPPs in Vietnam, this article compares how government, business organizations, and the public conceptualize the transfer of public assets into private ownership. It (...) argues that a public interest approach to corruption is needed where PPPs privatize public assets within the law, but against the express wishes of the public. (shrink)

There exist at present many conceptions of postmodern(ism). But there is a certain number of differences between the conceptions of postmodernism in the arts and the conceptions of postmodernism in various spheres of social activities. In arts, people pay much attention to the significant attributes of the concept, but in spheres of social life, the term is often used as a criterion to marking time in the periodization of history. That is, while in arts the significant attributes will make the (...) criteria to define the postmodernism, in social life the concept of postmodern(ism) exists a priori and does not depend on social characteristics. That is for many people, the postmodern era is simply taken for granted as the period after the Second World War. At the same time, we have to recognize that thearbitrary and easy use of this term in the social life has spread contagiously to the artistic field. Many people simply attribute the label of “postmodern” to all creations outside the traditional realism in the second half of the 20th century, only because in their opinion, those creations appeared in the age that they called “postmodern era” for granted. Thus, in this way, “postmodern” may have too many different and indefinite meanings, but just thereby, it has also no meaning at all. This situation has brought ambiguity to defining the status of contemporary arts. I can only state that, in the field of arts, despite different conceptions of “postmodern(ism)” among many persons, we may conclude that it is more exactly to use this concept only to designate the summit or the “paroxysm” of modernism; and it still bears a temporal character to designating the second half of the 20th century. With the meaning of “paroxysm”, the term of “postmodern” can be entirely replaced with the term “modern”, or more precisely, with the term “meta-modern” or “ultra-modern”. Besides, we should be vigilant against the abuse of the concept “postmodern” which is being used fairly popularly in the current socio-political life, and most of these cases of abuse only want to make impressions of the “ultra-new” (or “ultra-modern”) character of the events. Just because of this abuse, the concept “postmodern” runs the risk of becoming platitudinous, leads to becoming meaningless because of bearing too many different and indefinite meanings, and thereby loses its effectiveness and usability. For my own part, I think that we should use the concept “postmodern(ism)” only for architecture and painting. As for other fields, especially for literature, we should not use it, and instead, we shall make use of the concept “modern(ism)” or at the most, we shall use the concept “ultra- or meta-modern(ism)” which will be precise and very appropriate. It is not necessary that, whenever to make impressions of the newest, one should have to recourse to the term “postmodern(ism)”, and then to be at a loss in making efforts to find the characteristics in order to ascribe them to the term to demonstrate its legitimate existence, but in fact, these characteristics are not of its own. (shrink)

A critical issue in executive control is how the nervous system exerts flexibility to inhibit a prepotent response and adapt to sudden changes in the environment. In this study, force measurement was used to capture “partial” unsuccessful trials that are highly relevant in extending the current understanding of motor inhibition processing. Moreover, a modified version of the stop-signal task was used to control and eliminate potential attentional capture effects from the motor inhibition index. The results illustrate that the non-canceled force (...) and force rate increased as a function of stop-signal delay, offering new objective indices for gauging the dynamic inhibitory process. Motor response was a function of delay in the presentation of novel/infrequent stimuli. A larger lateralized readiness potential amplitude in go and novel stimuli indicated an influence of the novel stimuli on central motor processing. Moreover, an early N1 component reflects an index of motor inhibition in addition to the N2 component reported in previous studies. Source analysis revealed that the activation of N2 originated from inhibitory control associated areas: the right inferior frontal gyrus, pre-motor cortex, and primary motor cortex. Regarding partial responses, LRP and error-related negativity were associated with error correction processes, whereas the N2 component may indicate the functional overlap between inhibition and error correction. In sum, the present study has developed reliable and objective indices of motor inhibition by introducing force, force-rate and electrophysiological measures, further elucidating our understandings of dynamic motor inhibition and error correction. (shrink)

Motivated by a call for risk discourse research in non-Western settings, this study examines how Vietnamese road safety video advertisements are constructed and interpreted. Following a literature review of risk and gender, the study first sets out socio-semiotic multimodal analysis of video advertisements to detail how concepts of risk and gender are constructed. Afterwards, I take an ethnographic-based approach in a series of interviews with professional Vietnamese women to gain insights into these concepts. Findings of the study reveal the expected (...) female roles as wives and mothers in Vietnamese advertising as interpreted by Vietnamese women. The study contributes to an understanding of risk in this Asian setting and opens up the potential for a critical, interpretive approach to risk discourses that are grounded in lived experiences. (shrink)

Within the research community, it is generally accepted that consent processes for research should be culturally appropriate and tailored to the context, yet researchers continue to grapple with what valid consent means within specific stakeholder groups. In this study, we explored the consent practices and attitudes regarding essential information required for the consent process within hospital-based trial communities from four referral hospitals in Vietnam. We collected surveys from and conducted semi-structured interviews with study physicians, study nurses, ethics committee members, and (...) study participants and family members regarding their experiences of participating in research, their perspectives toward research, and their views about various elements of the consent process. In our findings, we describe three interrelated themes related to the consent process: words and regulation; reimbursement, suspicions, and joining; and responsibilities. In general, stakeholders had highly varied perspectives of nghiên cứu and researchers used varying levels of detail regarding all aspects of the study in the consent process to build trust with and/or promote potential research participants’ choices about taking part in research. Findings additionally highlight how researchers felt that offering financial reimbursements in a hospital setting, where payment for services was routine, would be unfamiliar to participants and could raise suspicions about the research. Participants, however, focused their discussions on reimbursement or alternative reasons for joining the study, such as health related benefits or altruism. Finally, participants often relied on their physician to help them decide about joining a study or not. Further research is needed to understand how researchers and participants make sense of and practice consent, and how that impacts participants’ decision-making about research participation. To promote valid consent within this context, it is important to engage with hospital-based trial communities as a whole. The data from this study will inform future research on consent, guide the revisions of consent related policies within our research sites and point to several larger issues surrounding researcher-participant expectations, communication, and trust. (shrink)

BackgroundThe informed consent process in clinical trials has been extensively studied to inform the development processes which protect research participants and encourage their autonomy. However, ensuring a meaningful informed consent process is still of great concern in many research settings due to its complexity in practice and interwined socio-cultural factors.ObjectivesThis study explored the practices and meaning of the informed consent process in two clinial trials conducted by Oxford University Clinical Research Unit in collaboration with the Hospital for Tropical Diseases in (...) Ho Chi Minh City, Vietnam.MethodsWe used multiple data collection methods including direct observervations, in-depth interviews with study physicians and trial participants, review of informed consent documents from 2009 to 2018, and participant observation with patients’ family members. We recruited seven physicians and twenty-five trial participants into the study, of whom five physicians and thirteen trial participants completed in-depth interviews, and we held twenty-two direct observation sessions.ResultsWe use the concept “fragmented understanding” to describe the nuances of understanding about the consent process and unpack underlying reasons for differing understandings.ConclusionsOur findings show how practices of informed consent and different understanding of the trial information are shaped by trial participants’ characteristics and the socio-cultural context in which the trials take place. (shrink)