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)

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)

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)

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)

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)

Case law retrieval is the task of locating truly relevant legal cases given an input query case. Unlike information retrieval for general texts, this task is more complex with two phases (legal case retrieval and legal case entailment) and much harder due to a number of reasons. First, both the query and candidate cases are long documents consisting of several paragraphs. This makes it difficult to model with representation learning that usually has restriction on input length. Second, the concept of (...) relevancy in this domain is defined based on the legal relation that goes beyond the lexical or topical relevance. This is a real challenge because normal text matching will not work. Third, building a large and accurate legal case dataset requires a lot of effort and expertise. This is obviously an obstacle to creating enough data for training deep retrieval models. In this paper, we propose a novel approach called supporting model that can deal with both phases. The underlying idea is the case–case supporting relation and the paragraph–paragraph as well as the decision-paragraph matching strategy. In addition, we propose a method to automatically create a large weak-labeling dataset to overcome the lack of data. The experiments showed that our solution has achieved the state-of-the-art results for both case retrieval and case entailment phases. (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)

United Nations’ Sustainable Development Goals 4 Quality Education has highlighted major challenges for all nations to ensure inclusive and equitable quality access to education, facilities for children, and young adults. The SDG4 is even more important for developing nations as receiving proper education or vocational training, especially in science and technology, means a foundational step in improving other aspects of their citizens’ lives. However, the extant scientific literature about STEM education still lacks focus on developing countries, even more so in (...) the rural area. Using a dataset of 4967 observations of junior high school students from a rural area in a transition economy, the article employs the Bayesian approach to identify the interaction between gender, socioeconomic status, and students’ STEM academic achievements. The results report gender has little association with STEM academic achievements; however, female students (αa_Sex[2] = 2.83) appear to have achieved better results than their male counterparts (αa_Sex[1] = 2.68). Families with better economic status, parents with a high level of education (βb(EduMot) = 0.07), or non-manual jobs (αa_SexPJ[4] = 3.25) are found to be correlated with better study results. On the contrary, students with zero (βb(OnlyChi) = -0.14) or more than two siblings (βb(NumberofChi) = -0.01) are correlated with lower study results compared to those with only one sibling. These results imply the importance of providing women with opportunities for better education. Policymakers should also consider maintaining family size so the parents can provide their resources to each child equally. (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)

Interpretation at the argumentative level, like action selection in response to environmental change, requires decision-making based on context construction. By boosting the efficiency of this process, discourse markers keep variations in the interlocutor's processing context within a certain range.

Entrepreneurship plays an indispensable role in the economic development and poverty reduction of emerging economies like Vietnam. The rapid development of technologies during the Fourth Industrial Revolution (Industry 4.0) has a significant impact on business in every field, especially in the innovation-focused area of entrepreneurship. However, the topic of entrepreneurial activities with technology applications in Vietnam is under-researched. In addition, the body of literature regarding entrepreneurial finance tends to focus on advanced economies, while mostly neglecting the contextual differences in developing (...) nations. Therefore, this research contributes to these topics by investigating the main characteristics of a high potential market for entrepreneurs in Vietnam, which is the English language training market (ELTM). It also aims at indicating the impacts of technology on the entrepreneurial firms within this market, with an emphasis on financing sources. To answer the research questions, this study employs a qualitative analysis and conducts 12 in-depth, semi-structured interviews with entrepreneurs and researchers in the field. The key findings in our study highlight the main contributing factors to the growth of the market, both universally and context-specific for a developing nation like Vietnam. It also lists the leaders in each market segment and the industry’s potential profit margin. The results also show that most entrepreneurs in the ELTM utilized private sources of finance rather than external ones, such as bank loans. It again confirms the idea from previous works that even with the rapid development of the economic and technological landscape, entrepreneurial activities in general barely benefit from additional sources of funding. However, it also points out the distinct characteristics of the ELTM that may influence these financing issues; for example, English training services usually collect revenues from customers before delivering their classes. This is of advantage for entrepreneurs in this area and helps significantly reduce the financial barriers. These findings, which are among the first attempts to contribute to a better understanding of entrepreneurial opportunities in the Industry 4.0 in Vietnam, provide valuable insights for policymakers and entrepreneurs, as well as investors. (shrink)

On study and teaching of aesthetics in Vietnam.

Despite its importance, abnormal interactions between the proximal and distal upper extremity muscles of stroke survivors and their impact on functional task performance has not been well described, due in part to the complexity of upper extremity tasks. In this pilot study, we elucidated proximal–distal interactions and their functional impact on stroke survivors by quantitatively delineating how hand and arm movements affect each other across different phases of functional task performance, and how these interactions are influenced by stroke. Fourteen subjects, (...) including nine chronic stroke survivors and five neurologically-intact subjects participated in an experiment involving transport and release of cylindrical objects between locations requiring distinct proximal kinematics. Distal kinematics of stroke survivors, particularly hand opening, were significantly affected by the proximal kinematics, as the hand aperture decreased and the duration of hand opening increased at the locations that requires shoulder abduction and elbow extension. Cocontraction of the extrinsic hand muscles of stroke survivors significantly increased at these locations, where an increase in the intermuscular coherence between distal and proximal muscles was observed. Proximal kinematics of stroke survivors was also affected by the finger extension, but the cocontraction of their proximal muscles did not significantly increase, suggesting the changes in the proximal kinematics were made voluntarily. Our results showed significant proximal-to-distal interactions between finger extension and elbow extension/shoulder abduction of stroke survivors exist during their functional movements. Increased cocontraction of the hand muscles due to increased neural couplings between the distal and proximal muscles appears to be the underlying mechanism. (shrink)

In the current era, robots and artificial agents can do jobs that could only be achieved with human creativity in the past, therefore successfully stepped into the sacred territory that once considered exclusive to human. Given this situation, Mark Amerika made two significant contributions with his new book, “My life as an Artificial Creative Intelligence”. This book added to the emerging literary genre collaborated by human artists and AI, telling the story about the advanced ACI developed in the project FATAL (...) ERROR and its relationship with Amerika as its co-author and creator. Moreover, this book documented an in-depth investigation into the nature of creativity and its processes, asking whether creativity is exclusive to the human mind. (shrink)

This book offers an innovative approach to the analysis of the current crisis in the South China Sea. Moving beyond the spirit of the UN Convention on the Law of the Sea (UNCLOS), the mechanisms of which are limited to physical geography, it demonstrates how epistemological insights from the field of critical realist philosophy can reveal the importance of cultural and structural conditioning processes in social interactions, processes which shape the conditions for the emergence of crisis points along a spectrum (...) of conflict and cooperation. The potential for conflict resolution and the emergence of new regions in Pacific Asia much depends on the nature of such interactions at many levels (political-economic, semiotic and cultural) based on perceptions of what constitutes the "common" versus a Sinicised version of "Lebensraum". (shrink)

Unification in description logics has been proposed as a novel inference service that can, for example, be used to detect redundancies in ontologies. The inexpressive description logic EL is of particular interest in this context since, on the one hand, several large biomedical ontologies are defined using EL. On the other hand, unification in EL has been shown to be NP-complete and, thus, of considerably lower complexity than unification in other description logics of similarly restricted expressive power. However, EL allows (...) the use of the top concept, which represents the whole interpretation domain, whereas the large medical ontology SNOMED CT makes no use of this feature. Surprisingly, removing the top concept from EL makes the unification problem considerably harder. More precisely, we will show that unification in EL without the top concept is PSPACE-complete. In addition to the decision problem, we also consider the problem of actually computing EL−⊤-unifiers. (shrink)

As the first empirical study of the nonlinear effects of digital business on global value chains (GVC), we provide insight into the nonlinear effects of digital business on the global value chain (GVC) values. We employ four indicators, including the value of online selling, sales through E-commerce, and customer relationship management (CRM) usage, to capture the prevalence of digital business in the economy. By testing a sample of 25 European countries that have been analyzed using various econometric techniques over the (...) period 2012–2019, our estimation results confirm that GVC values are a U-shaped function of digitalization. That is, an increase in digitalization pervasiveness initially induces more significant risks and uncertainties, hindering European countries from getting involved in or scale-up within the GVC. However, a rise in digitalization pervasiveness goes beyond a specific threshold, which facilitates GVC activities as more opportunities are created. Furthermore, our findings suggest that digital business contributes significantly to reducing the adverse influences of global uncertainty on the GVC values, while the marginal effects of digital business on GVC values become more pronounced in countries with the most advanced institutional structure. (shrink)

Resumo: A revolução tecnológica 4.0 e a cooperação internacional têm feito várias mudanças na sociedade. As pessoas passam a desejar uma vida feliza e pacífica ao perceberem que a felicidade é um alvo ou uma meta necessária na vida. O artigo usa o método dialético materialista do pensamento filosófico de Aristóteles de maneira compreensiva, especificando princípios históricos acerca de seu conceito de felicidade comparado ao que temos hoje para mostrar que o valor da felicidade é o valor da beleza. Além (...) disso, o artigo também usa métodos analíticos e sintéticos para esclarecer a visão de Aristóteles de que a felicidade estaria relacionada à coisas materiais, crenças e valores nobres os quais as pessoas esperam conquistar. Este artigo descreve a visão do povo do Vietnã de que a Felicidade é a solidariedade e o apoio mútuo para que vivam juntos em paz, tranquilidade e abundância material. A Felicidade nas vidas dos vietnamitas é necessária para garantir que a vida pessoal de cada um e a vida social sejam civilizadas e modernas e que as pessoas tenham energia pacífica, total e livre. A Felicidade dos Vietnamitas almeja a importância da verdade, da bondade e da beleza. (shrink)

The influence of Buddhist philosophy in Vietnamese nation.

Interactional functions of story-opening in everyday conversations across different languages have been widely examined in Conversation Analysis. However, there is a paucity in research on story-openings in institutional talk. This paper addresses this research gap by examining how story-opening contributes to advice-giving in doctoral research supervision. It draws on a data corpus of 57 storytelling sequences produced by six supervisors during 25 hours of video-recorded supervision meetings at an Australian university. The analysis shows that story-opening supports the on-going advice-giving activity (...) in two ways. First, it invokes the supervisor’s knowledge and experience, which functions to strengthen the advice under way. Second, it works toward building a joint understanding with the student, thereby serving the supervisor’s pursuit of the student’s acceptance of advice. These findings have significant implications for research on storytelling in institutional interaction, advice and supervision practices. (shrink)

Network reconfiguration is one of the most effective methods to reduce line power loss in the distribution system, which causes higher losses than the other parts of the power system. This paper proposes a modified symbiotic organisms search algorithm to solve the NR problem. For the purpose of enhancing the effectiveness of MSOS, the mutualism and parasitism strategies of the original symbiotic organisms search have been modified to create better new solutions. In the mutualism strategy, the so-far best solution is (...) updated immediately as soon as new solutions are created. In the parasitism strategy, the update is only implemented for the first half of control variables, whereas another half still remains unchanged. The comparison results between MSOS and SOS on twenty-five benchmark functions and different scales of test distribution systems with 14, 33, 69, and 119 nodes show that the improvement level of MSOS over SOS is significant with higher success rates and better quality of gained solutions. Similarly, MSOS also reaches better results than other methods in the literature. Consequently, MSOS can be a favorable method for determining the most appropriate configurations for the distribution systems. (shrink)

During the last two decades Confucian heritage culture countries have widely promoted teaching and learning reforms to advance their educational systems. To skip the painfully long research stage, Confucian heritage culture educators have borrowed Western philosophies and practices with the assumption that what has been done successfully in the West will produce similar outcomes in the East. The wide importation of cooperative learning practices to Confucian heritage culture classrooms recently is an example. However, cooperative learning has been documented in many (...) studies not to work effectively in Confucian heritage culture classrooms. The reason is that the educators often impose this instructional method on the students without a careful consideration of its appropriateness in the socio-cultural context of Confucian heritage culture countries. This procedure is not effective and professional because learning does not stand alone. Rather, it is shaped and influenced by other factors including teaching methods, learning tasks, assessment demands, workload and the learning culture of students in the local context. For cooperative learning to work effectively in Confucian heritage culture classrooms, reformers need to consider the importation of this approach in line with a careful examination of all supports and constraints that affect those factors that are associated with learning. The volume provides an applied theoretical framework and culturally appropriate and practical instructions that could assist Confucian heritage culture educators and teachers to address various factors at multiple levels in order to optimize success in importing cooperative learning to their classrooms. Overall, it provides strategies to assist Confucian heritage culture teachers to change their teaching practices, redesign lessons plans, design assessment methods, and organize learning activities in a manner that can influence Confucian heritage culture students to shift from employing teacher-centered learning approaches to cooperative learning. (shrink)

In this chapter, we aimed at further characterizing the functional neuroanatomy of the human rapid eye movement (REM) sleep at the population level. We carried out a meta-analysis of a large dataset of positron emission tomography (PET) scans acquired during wakefulness, slow wave sleep and REM sleep, and focused especially on the brain areas in which the activity diminishes during REM sleep. Results show that quiescent regions are confined to the inferior and middle frontal cortex and to the inferior parietal (...) lobule. Providing a plausible explanation for some of the features of dream reports, these findings may help in refining the concepts, which try to account for human cognition during REM sleep. In particular, we discuss the significance of these results to explain the alteration in executive processes, episodic memory retrieval and self representation during REM sleep dreaming as well as the incorporation of external stimuli into the dream narrative. (shrink)

The annotated dataset is an essential requirement to develop an artificial intelligence system effectively and expect the generalization of the predictive models and to avoid overfitting. Lack of the training data is a big barrier so that AI systems can broaden in several domains which have no or missing training data. Building these datasets is a tedious and expensive task and depends on the domains and languages. This is especially a big challenge for low-resource languages. In this paper, we experiment (...) and evaluate many various approaches on sentiment analysis problems so that they can still obtain high performances under limited training data. This paper uses the preprocessing techniques to clean and normalize the data and generate the new samples from the limited training dataset based on many text augmentation techniques such as lexicon substitution, sentence shuffling, back translation, syntax-tree transformation, and embedding mixup. Several experiments have been performed for both well-known machine learning-based classifiers and deep learning models. We compare, analyze, and evaluate the results to indicate the advantage and disadvantage points of the techniques for each approach. The experimental results show that the data augmentation techniques enhance the accuracy of the predictive models; this promises that smart systems can be applied widely in several domains under limited training data. (shrink)

Human contact is a key issue in social interactions for autonomous systems since robots are increasingly appearing everywhere, which has led to a higher risk of conflict. Particularly in the real world, collisions between humans and machines may result in catastrophic accidents or damaged goods. In this paper, a novel stop strategy related to autonomous systems is proposed. This control method can eliminate the vibrations produced by a system’s movement by analysing the poles and zeros in the model of autonomous (...) vehicles and goods. Using the pole placement technique, the motion of a system is guaranteed to be more stable, more flexible and smoother. Moreover, several control profiles are employed in the switching mechanism to choose the proper vibration-free effect. The main contributions of this paper are the recommendation of an active stopping planner using different smooth generators from a modelling study, the validation of their physical characteristics and the launching of a switching algorithm based on the socially aware navigation framework of a robot. This theoretical work is based on the virtual environment of MATLAB, and the experiment is implemented in the practical platform of an automated guided vehicle. From these results, it can be seen that the proposed approach is robust, effective and feasible for applications in storehouse management, public transportation or factory manufacturing. (shrink)

The current trend of international integration urges every business organizations to continuously improve their competitive advantage for their survival and sustainable growth. And Kaizen has been a preferable approach in practice. Due to the special role of SMEs in the Vietnam economy, improving their competitiveness is critical. Thus, this study is aimed at identifying determinants of the successful Kaizen implementation and sustainable performance so that SMEs can have proper actions and prioritize their operations within their available resources. Through a formal (...) survey of 213 participants from 62 SMEs which have been successful in implementing Kaizen and appropriate statistical analyses, seven important determinants have been identified, namely, supports from senior management; training; environment; assessment; motivation; mindset; and engagement of all members in the organization. Among them, “mindset” is newly proposed in this study through a qualitative research and found as crucial component in the model. The finding obviously fulfills the existing literature. Moreover, the first letters of the identified factors are orderly congregated as “STEAM-ME” which is a novel model for the successful Kaizen implementation and the sustainable performance of SMEs in Vietnam. “STEAM-ME” implies that organizations need to have a new airflow as “steam” to make all of its members refreshed and brimful of energy to gain significant success in implementing Kaizen, and improve their business performance as well as competitive advantage for their sustainable development. Notably, the novel model can efficiently demonstrate organic relationships among its components which all have positive and significant impacts on the successful Kaizen implementation and sustainable performance of SMEs in Vietnam. (shrink)

The study of context can benefit greatly from re-examining some of the concepts arising from Anscombre and Ducrot’s argumentation theory from an adaptive perspective. By focusing on discourse dynamism, AT provides fresh angles from which to view key issues, such as the nature of context triggers; whether context construction is necessarily a background activity; in what way utterances set themselves up as contexts for the upcoming discourse; and the nature of the inferences whereby background knowledge and information are accessed. The (...) need for an adaptive perspective arises in connection with AT’s construal of context construction, which raises but cannot answer certain questions that are crucial to our understanding of context: these questions concern the source of the background knowledge required to understand the argumentative meanings under consideration. An adaptive perspective can offer a non-ad-hoc account of the source of the background knowledge involved, in terms of what pre-existing systems require to support their processing needs, and the information and knowledge they produce. Such an account builds on the assumptions that language can avail itself of processing strategies, skills, forms of know-how utilised by pre-existing systems, and has access to knowledge generated by systems such as perception and action production. (shrink)

Human rights constitute a universal concern in different countries’ responses to COVID-19. Vietnam is internationally praised for its success in containing the pandemic; nevertheless, human rights issues are a key area that needs to be assessed and improved. Little legal and ethical research is available on human rights in Vietnam, particularly in its response to COVID-19, however. In Vietnam, decentralization took place during the pandemic: higher authorities delegated power to lower ones to make and implement public health measures. Unfortunately, many (...) measures made and implemented decentrally caused human rights concerns or breaches. This article aims to study what makes such measures cause human rights concerns or breaches. It argues that several social, legal, and political factors, including an inadequate understanding of human rights, the undefined breadth of discretion, and lack of supervision, are underlying factors for such problematic decentralized measures. Accordingly, this paper proposes two solutions (i) improving the supervision of the decentralization process, and (ii) improving the understanding of human rights. While Vietnam should learn from the international community to improve its measures, lessons and experience from Vietnam can also contribute to a richer dialogue and better protection of human rights globally. (shrink)