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)

Every year, the Vietnamese people reportedly burned about 50,000 tons of joss papers, which took the form of not only bank notes, but iPhones, cars, clothes, even housekeepers, in hope of pleasing the dead. The practice was mistakenly attributed to traditional Buddhist teachings but originated in fact from China, which most Vietnamese were not aware of. In other aspects of life, there were many similar examples of Vietnamese so ready and comfortable with adding new norms, values, and beliefs, even contradictory (...) ones, to their culture. This phenomenon, dubbed “cultural additivity”, prompted us to study the co-existence, interaction, and influences among core values and norms of the Three Teachings –Confucianism, Buddhism, and Taoism–as shown through Vietnamese folktales. By applying Bayesian logistic regression, we evaluated the possibility of whether the key message of a story was dominated by a religion (dependent variables), as affected by the appearance of values and anti-values pertaining to the Three Teachings in the story (independent variables). Our main findings included the existence of the cultural additivity of Confucian and Taoist values. More specifically, empirical results showed that the interaction or addition of the values of Taoism and Confucianism in folktales together helped predict whether the key message of a story was about Confucianism, β{VT ⋅ VC} = 0.86. Meanwhile, there was no such statistical tendency for Buddhism. The results lead to a number of important implications. First, this showed the dominance of Confucianism because the fact that Confucian and Taoist values appeared together in a story led to the story’s key message dominated by Confucianism. Thus, it presented the evidence of Confucian dominance and against liberal interpretations of the concept of the Common Roots of Three Religions (“tam giáo đồng nguyên”) as religious unification or unicity. Second, the concept of “cultural additivity” could help explain many interesting socio-cultural phenomena, namely the absence of religious intolerance and extremism in the Vietnamese society, outrageous cases of sophistry in education, the low productivity in creative endeavors like science and technology, the misleading branding strategy in business. We are aware that our results are only preliminary and more studies, both theoretical and empirical, must be carried out to give a full account of the explanatory reach of “cultural additivity”. (shrink)

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.

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)

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)

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)

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)

Social security is one of the important guidelines and policies of our Party and State that has been thoroughly grasped and guaranteed to be implemented during the country's development periods. In recent years, despite facing many difficulties and challenges, social security work in Vietnam has continued to achieve many positive results, policies have continuously improved, the material and spiritual life of people has improved. People are cared for better and better with the goal of "leaving no one behind".

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)

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 study analyzes how ChatGPT portrays and describes itself, revealing misleading myths about AI technologies, specifically conversational agents based on large language models. This analysis allows for critical reflection on the potential harm these misconceptions may pose for public understanding of AI and related technologies. While previous research has explored AI discourses and representations more generally, few studies focus specifically on AI chatbots. To narrow this research gap, an experimental-qualitative investigation into auto-generated AI representations based on prompting was conducted. Over (...) the course of a month, ChatGPT (both in its GPT-4 and GPT-4o models) was prompted to “Draw an image of yourself,” “Represent yourself visually,” and “Envision yourself visually.” The resulting data (n = 50 images and 58 texts) was subjected to a critical exploratory visual semiotic analysis to identify recurring themes and tendencies in how ChatGPT is represented and characterized. Three themes emerged from the analysis: anthropomorphism, futuristic/futurism and (social)intelligence. Importantly, compared to broader AI imaginations, the findings emphasize ChatGPT as a friendly AI assistant. These results raise critical questions about trust in these systems, not only in terms of their capability to produce reliable information and handle personal data, but also in terms of human–computer relations. (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)

The ongoing coronavirus 2019 pandemic caused by the severe acute respiratory syndrome coronavirus 2 has resulted in a severe ramification on the global healthcare system, principally because of its easy transmission and the extended period of the virus survival on contaminated surfaces. With the advances in computer-aided diagnosis and artificial intelligence, this paper presents the application of deep learning and adversarial network for the automatic identification of COVID-19 pneumonia in computed tomography scans of the lungs. The complexity and time limitation (...) of the reverse transcription-polymerase chain reaction swab test makes it disadvantageous to depend solely on as COVID-19’s central diagnostic mechanism. Since CT imaging systems are of low cost and widely available, we demonstrate that the drawback of the RT-PCR can be alleviated with a faster, automated, and reduced contact diagnostic process via the use of a neural network model for the classification of infected and noninfected CT scans. In our proposed model, we explore the benefit of transfer learning as a means of resolving the problem of inadequate dataset and the importance of semisupervised generative adversarial network for the extraction of well-mapped features and generation of image data. Our experimental evaluation indicates that the proposed semisupervised model achieves reliable classification, taking advantage of the reflective loss distance between the real data sample space and the generated data. (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)

Vietnam has seen fast-rising debts, both domestic and external, in recent years. This paperreviews the literature on credit market in Vietnam, providing an up-to-date take on the domesticlending and borrowing landscape. The study highlights the strong demand for credit in both therural and urban areas, the ubiquity of informal lenders, the recent popularity of consumer financecompanies, as well as the government’s attempts to rein in its swelling public debt. Given thehigh level of borrowing, which is fueled by consumerism and geopolitics, (...) it is inevitable that theamount of debt will soon be higher than the saving of the borrowers. Unlike the conventional wisdom that creditors have more bargaining power over the borrowers, we suggest that—albeitlacking a quantitative estimation—when the debts pile up so high that the borrowers could not repay, the power dynamics may reverse. In this new politics of debt, the lenders fear to lose the money's worth and continue to lend and feed the insolvent debtors. The result is a toxic lending/borrowing market and profound lessons, from which the developing world could learn. (shrink)

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)

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)

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)

This study presents a description of an open database on scientific output of Vietnamese researchers in social sciences and humanities, one that corrects for the shortcomings in current research publication databases such as data duplication, slow update, and a substantial cost of doing science. Here, using scientists’ self-reports, open online sources and cross-checking with Scopus database, we introduce a manual system and its semi-automated version of the database on the profiles of 657 Vietnamese researchers in social sciences and humanities who (...) have published in Scopus-indexed journals from 2008 to 2018. The final system also records 973 foreign co-authors, 1,289 papers, and 789 affiliations. The data collection method, highly applicable for other sources, could be replicated in other developing countries while its content be used in cross-section, multivariate, and network data analyses. The open database is expected to help Vietnam revamp its research capacity and meet the public demand for greater transparency in science management. (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.

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)

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)

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)

Ultra-high-performance concrete (UHPC) is gaining popularity due to its superior mechanical properties, including high strength, toughness, durability, and excellent seismic performance. However, the risk of explosive spalling in UHPC structures exposed to fire poses a significant challenge, fundamentally hindering comprehensive studies on fire safety and limiting the broader engineering applications of UHPC. In this study, the mixture proportion of UHPC was developed and optimized by comparing the usage of yellow river and standard sands, different types of chemical admixtures, and different (...) curing regimes. Furthermore, a sensitive case study was also conducted to optimize the calcined bauxite content to improve UHPC's fire resistance. For these purposes, 189 UHPC cubes, incorporating variations in particle types, superplasticizer types, and curing regimes, were tested under three thermal levels, such as 200℃,400℃, and 600℃. The microstructural evolution of heated cube specimens was then observed using a scanning electron microscope (SEM) examination. Calcined bauxite was then considered to replace the standard sand to improve the fire resistance of UHPC and enhance the residual compressive strength of cube specimens under thermal conditions. For this purpose, 0%, 20%, 40%, 60%, 80%, and 100% calcined bauxite content was designed as six case studies. Furthermore, the degradation of UHPC strength was also investigated for the corresponding six case studies by conducting the uniaxial compressive experiments. Finally, the microstructural evolution under both thermal conditions and calcined bauxite content was observed and discussed. (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)

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)

The system of pedagogical colleges in Vietnam has made important contributions to the education system in general and to the pedagogical system in particular during the 1980s and 1990s. This study reviews the studies conducted and implemented in recent times according to different trends, especially the contributions that these school systems have made to education as well as to the development of the system itself. The findings highlight the historic contributions of teacher colleges, and they also face challenges that must (...) change to adapt to the new requirements of the pedagogy and education system. In addition, there are many issues that need to be researched and implemented not only related to the governance of each school but also associated with current systemic policy changes. (shrink)

Business Ethics, the Environment &Responsibility, Volume 31, Issue 4, Page 904-922, October 2022.

Vietnam’s forests are at risk - carbon offset schemes could be the best chance of saving them, say Dr. Quan-Hoang Vuong and Minh-Hoang Nguyen. The value of forests is deeply ingrained in Vietnamese culture. Rừng vàng, biển bạc” [“forests of gold and seas of silver”] is both a metaphor for Vietnam, and a description of its natural wealth. The phrase is everywhere, from political speeches to daily conversation, as is Nhất phá sơn lâm, nhì đâm hà bá [“the worst crime (...) is to destroy the mountains and forests, the second worst is to kill the river”]. Deforestation is a Vietnamese taboo. (shrink)

ObjectiveThe goal of the study was to explore the relationship between parent–children relationships related to using the internet among kids and potentially associated factors.Materials and MethodsA sample of 1.216 Vietnamese students between the ages of 12 and 18 agreed to participate in the cross-sectional online survey. Data collected included socioeconomic characteristics and internet use status of participants, their perceived changes in relationship and communication between parents and children since using the internet, and parental control toward the child’s internet use. An (...) Ordered Logistic Regression was carried out to determine factors associated with parent–children relationship since using the internet.ResultsThe characteristics of the relationship between children and their parents since using the Internet were divided into three levels: deterioration, stability, and improvement. The topics that children most often communicate with their parents include learning, housework, and future directions. Two-way interactive activities, such as supporting parents to use the Internet, have a positive impact on the parent–child relationship. Stubborn parental control, such as establishing rules about contact or allowing Internet access and setting up global positioning system to track negatively affecting parent–child relationships.ConclusionFindings indicated that changes in the quality of the parent–child relationship were self-assessed by participants regard to kids’ internet use, especially in the COVID-19 epidemic context. Educational campaigns and programs to raise awareness of parents as to the dangers and negative influences that their children may encounter online, psychology of children’s behaviors and effects of different responding strategies are recommended. (shrink)

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)

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 $\bbfR$.

Since the outbreak of the Coronavirus disease 2019 (Covid-19), tremendous efforts have been made by scientists, health professionals, business people, politicians, and laypeople around the world. Covid-19 vaccines are one of the most crucial innovations that help fight against the virus. This paper attempts to revisit the Covid-19 vaccines production process by employing the serendipity-mindsponge-3D creativity management theory. Vaccine production can be considered an information process and classified into three main stages. The first stage involved the processes of absorbing information (...) (e.g., digital data and open science) and rejecting unhelpful information (e.g., misinformation and fake news) for effectively acquiring useful insights. Useful insights were later employed by experts, enterprises, governments, and international organizations through interdisciplinary coordinated efforts for developing vaccines within a short period. Finally, the appearance of multiple types of vaccines enabled more strategic options for vaccine distribution and administration. Findings from this vaccine creativity management process could be used as critical lessons for further improvements of vaccination programs. (shrink)

Patients with serious illnesses or injuries may decide to quit their medical treatment if they think paying the fees will put their families into destitution. Without treatment, it is likely that fatal outcomes will soon follow. We call this phenomenon “near-suicide”. This study attempted to explore this phenomenon by examining how the seriousness of the patient’s illness or injury and the subjective evaluation of the patient’s and family’s financial situation after paying treatment fees affect the final decision on the treatment (...) process. Bayesian Mindsponge Framework (BMF) analytics were employed to analyze a dataset of 1042 Vietnamese patients. We found that the more serious the illnesses or injuries of patients were, the more likely they were to choose to quit treatment if they perceived that paying the treatment fees heavily affected their families’ financial status. Particularly, only one in four patients with the most serious health issues who thought that continuing the treatment would push themselves and their families into destitution would decide to continue the treatment. Considering the information-filtering mechanism using subjective cost–benefit judgments, these patients likely chose the financial well-being and future of their family members over their individual suffering and inevitable death. Our study also demonstrates that mindsponge-based reasoning and BMF analytics can be effective in designing and processing health data for studying extreme psychosocial phenomena. Moreover, we suggest that policymakers implement and adjust their policies (e.g., health insurance) following scientific evidence to mitigate patients’ likelihood of making “near-suicide” decisions and improve social equality in the healthcare system. (shrink)

Current challenges to sustaining public support for health data research have directed attention to the governance of data-intensive health research networks. Accountability is hailed as an important element of trustworthy governance frameworks for data-intensive health research networks. Yet the extent to which adequate accountability regimes in data-intensive health research networks are currently realized is questionable. Current governance of data-intensive health research networks is dominated by the limitations of a drawing board approach. As a way forward, we propose a stronger focus (...) on accountability as learning to achieve accountable governance. As an important step in that direction, we provide two pathways: (1) developing an integrated structure for decision-making and (2) establishing a dialogue in ongoing deliberative processes. Suitable places for learning accountability to thrive are dedicated governing bodies as well as specialized committees, panels or boards which bear and guide the development of governance in data-intensive health research networks. A continuous accountability process which comprises learning and interaction accommodates the diversity of expectations, responsibilities and tasks in data-intensive health research networks to achieve responsible and effective governance. (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)