Autism is often referred to as autism spectrum disorder that constitutes a diverse group of conditions related to brain development (which is a neurodevelopmental disorder). Autism spectrum disorder patients often have difficulty communicating and interacting socially, and are characterized by restricted and repetitive patterns of behavior and interests that have been shown to be the same in cultures of countries around the world. However, the interpretation of symptoms and recognition in terms of policies and laws in countries are not the same. Accordingly, some countries recognize autism spectrum disorder as one of the types of disability and some countries do not, including Vietnam. Currently, Vietnam's Law on Persons with Disabilities 2010 does not recognize the term "autism" in the Law. At the same time, there is a lack of legal issues related to the "autism spectrum" from the time of diagnosis such as policies on practical support appropriate to each individual's needs and interests so that they can develop and be integrated in the medical field, education and enjoyment of other benefits such as persons with disabilities. This is an overlooked term that leads to the community having a misperception of "autism" when they are not aware that autism is a disease or a disability, what causes autism and why, etc. The article points out the current situation of adjustment by policies and laws on autistic people in Vietnam. On that basis, the article focuses on analyzing the contents that need to reform those policies and laws to ensure human rights of autistic people and their families.

This study assesses Vietnam’s state-level implementation of artificial intelligence (AI) technology and analyses the government’s efforts to encourage AI implementation by focusing on the National Strategy on AI Development Program. This study emphasizes the possibility of implementing AI at the state level in Vietnam and the importance of conducting continuous reviews and enhancements to achieve sustainable and inclusive AI growth. Impact evaluations were conducted in public organizations alone, and implication evaluations were considered optional. AI impact assessments were constrained by societal norms that necessitated establishing relationships among findings. There is a lack of official information regarding the positive impact of Vietnam’s AI policy on the development of AI infrastructure, research, and talent pools. The study’s findings highlight the necessity of facilitating extensive AI legislation, and strengthening international cooperation. The study concludes with the following recommendations for improving Vietnam’s AI policy: implementing a strong AI governance structure and supporting AI education and awareness.

In recent years, Vietnam has achieved great achievements in the implementation of economic growth, which has contributed to reducing poverty and is highly appreciated by the international community. Although Vietnam has made remarkable achievements in reducing poverty and meeting the requirements of sustainable development, there are still many challenges and work to be done. Vietnam needs to continue to push ahead to improve the quality of life for the poorest, reduce the development gap between regions, and strengthen its response to climate change and the environment. This study uses a qualitative method to analyze the current situation of poverty reduction in Vietnam. The article also uses analytical, synthetic, logical, and historical methods to clarify the results and limitations of poverty reduction. The value of the research helps the Vietnamese government to be aware of the results and limitations of poverty reduction and suggests scientific and timely solutions to implement poverty reduction work in Vietnam.

Industry 4.0 is revolutionizing businesses’ operations and relationships with the communities to which they cater. The widespread use of computing and network programs compels firms to digitize their operations and offer novel goods, solutions, and business for practice. Universities appear to be slow to adapt to the changes in the education sector. This study suggests using consolidated digital transformation sources to evaluate the level of ability that universities have achieved in the implementation of digital procedures and to compare it to that of other business sectors across all cities and provinces in Vietnam. The text outlines specific factors that universities should consider when implementing the model. Although the objective with the expectation of education from digital transformation is high, compare it with other industries. And the scores achieved in structural agility and create of benefit for the transformative goals are 3.4, but the score of benefit of technologies is 3.0 lower than. Additionally, the organizational component’s scores were primarily focused on leadership and culture, digital strategy, market digitalization, dynamic and digital capabilities, and strengthened logistics within each industry during the digital transformation. Our findings indicate that universities lag behind other industries, perhaps as a consequence of inadequate leadership and cultural shifts. This is exacerbated by a lack of innovation and inadequate financial assistance.

The significance of remittances to the Vietnamese economy necessitates investigating how they affect the value of the Vietnamese currency and other macroeconomic factors. Macroeconomic articles struggle to discover their impact on economic development, but measured remittances by migrant workers have recently soared. There is no academic study that has examined this phenomenon in Vietnam. This study uses wavelet frameworks to analyze the lead-lag nexus between exchange rates, remittances, and economic growth in Vietnam in time-frequency domains from 1995 to 2020. Overall, we find that: (i) remittances enhance economic growth in the short and medium run; (ii) exchange rates boost remittances in the short and medium run; (iii) exchange rates promote GDP in all frequency and time domains. Moreover, the partial wavelet coherence and multiple wavelet coherence frameworks also offered evidence supporting the wavelet coherence approach. More importantly, the outcomes of wavelet-based Granger causality unveil that there is two-way causality between the selected indicators, which means that all the indicators can predict each other at different frequencies. Our empirical results provide meaningful information for market participants and policymakers.

Night tourism, increasingly recognized as integral to the travel experience, has gained attention for its impact on overall tourist satisfaction. This article offers a comprehensive analysis of night tourism development in Vietnam’s coastal cities, focusing on Nha Trang and Quang Ngai, as representative cases of mature and emerging destinations, respectively. Utilizing the Importance-Performance Analysis (IPA) tool, the study aims to provide practical insights for sustainable night tourism. Surveys with 524 domestic tourists were conducted to evaluate perceptions and satisfaction levels. Nha Trang emphasizes accessibility and vibrant nightlife, with a focus on the night market and outdoor shows. Conversely, Quang Ngai highlights its night landscape, dining options, and shopping areas. Recommendations for both destinations include enhancing entertainment offerings and reassessing priorities based on tourist preferences. The study underscores the need for tailored strategies to foster sustainable night tourism development that aligns with evolving tourist demands in coastal cities like Nha Trang and Quang Ngai.