Van Quy Khuc

Giải quyết biến đổi khí hậu và ô nhiễm môi trường đang và sẽ là thách thức lớn của nhân loại trong thế kỷ 21. Con người không còn nhiều thời gian để sửa chữa, phục hồi đưa hệ sinh thái môi trường (tự nhiên) trở về trạng thái an toàn. Trong khi các nỗ lực trong thời gian qua chưa thực sự hiệu quả thì COP26 mở ra cơ hội lớn để nhân loại tiến gần đến mục tiêu kiềm chế nhiệt độ của trái đất không vượt quá 1.5 độ C. Mặc dù Việt Nam cùng với 146 quốc gia trên thế giới đã có cam kết mạnh mẽ nhất trong việc giảm phát thải vào năm 2050, tuy nhiên việc cụ thể hóa cam kết thông qua các giải pháp sáng tạo là rất quan trọng. Sử dụng (áp dụng, vận dụng) hệ sáng tạo 3D và nguyên lý bán dẫn giá trị, tác giả đề xuất hệ sinh thái “giải pháp trụ cột” cần thực hiện gồm có tăng cường thông tin, truyền thông, nghiên cứu khoa học về môi trường (biến đổi khí hậu, ô nhiễm môi trường...); xây dựng, chuyển đổi và nâng cao văn hóa và môi trường; đẩy mạnh phát triển kinh tế gia tăng phúc lợi; xây dựng (chuyển đổi) lớp doanh nhân có văn hóa, trách nhiệm môi trường; tăng cường mở rộng sự hợp tác quốc tế về mọi mặt đặc biệt là trong lĩnh vực kinh tế, truyền thông và khoa học; và thực thi các giải pháp nêu trên một cách kỷ luật.

After employing the mindsponge mechanism and 3D information process of creativity to explain the serendipity process in previous chapters, we realize that it may be helpful to delve into the relations between serendipity and the formulation of new values and information connections through non-linear processes. Thus, this chapter summarizes some preliminary attempts to use non-linear information processes to explain serendipity. We also briefly mention the benefits of information exchange among members of social groups and explain this approach.

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.

This document represents some preliminary and unpublished content of a chapter in the edited book titled A New Theory of Serendipity: Nature, Emergence and Mechanism, which will soon be published and distributed by De Gruyter Poland (Sciendo Imprint; part of Walter de Gruyter GmbH, Berlin, Germany). A proper referencing should be like: Quan-Hoang Vuong, Tam-Tri Le, Quy Khuc, Minh-Hoang Nguyen. (2022). A new theory of serendipity. In: QH Vuong. (Ed.) A New Theory of Serendipity: Nature, Emergence and Mechanism (pp. 91-108). Berlin, Germany: De Gruyter.

In order to set a ground for the new hypotheses, theory, and conceptual framework of serendipity, the current chapter aims to review the research landscapes, definitions, types, influential factors, and processes of serendipity. First, bibliometric analyses of 2982 documents retrieved from the Web of Science database were employed to examine the intellectual and conceptual structures in the research field of serendipity. Three major research lines are found: 1) information-seeking behaviors, 2) serendipity in business and sciences, and 3) serendipity in recommender systems. Then, a narrative review of the most notable documents and studies was done to overview the serendipity’s definitions, types, influential factors, and processes. Based on the review, we stipulate the literature gap in which the newly proposed hypotheses, theory, and conceptual framework will fit in.

Based on the properties and mechanism of serendipity presented in former chapters, this chapter discusses how to create an environment for higher serendipity encounters and attainment possibilities. We examine four types of environments with different navigational and useful information concentration combinations. Building a pro-serendipity culture will help create environments that value and supports serendipity across fields. Additionally, we also address the notion that serendipity is a skill. Thus, it can produce either good or bad impacts on a collective level, depending on the ultimate purposes behind it.

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.

To achieve herd immunity against Covid-19, the willingness of residents to get vaccinated and successful vaccination policies go hand in hand. This paper aims to understand the perceptions, acceptance, hesitation, and refusal of Covid-19 vaccines in Nghe An, Vietnam. We used an online survey to collect data during March of 2021. The Bayesian regression model (BRM) was used to identify the factors affecting vaccination decisions. The empirical results show that respondents’ livelihoods were considerably affected by the Covid-19 pandemic, and there was a subtle difference in Covid-19 impacts on the lives of urban residents and their rural counterparts. In addition, respondents reported an overall positive attitude towards Covid-19 vaccination in which 84.28% were willing to get vaccinated, 14.85% were hesitant, and 0.87% refused vaccination. Their vaccination decisions were associated with vaccine side effects, information, income, job type, gender, and trust in government. Our findings offer policy implications for devising strategies for vaccine distribution in the study area and beyond.

Circular economy (CE), a sustainability concept that promotes resource efficiency and waste reduction, has garnered significant popularity in recent years due to its potential to address pressing environmental and economic challenges. This study employs the Bayesian mindsponge framework (BMF) to explore what drives young adults’ pro-environmental behavior and purchases of green products at different levels of price. The results show that young adult’s knowledge of CE and care about environmental protection and energy saving encourages the practice of waste classification, while factors that affect their willingness to pay (WTP) more for green and energy-saving products vary at different price tiers.

This week, the Royal Swedish Academy of Sciences announced the names of Nobel laureates in different fields. This year, the Nobel Prize in Biomedical Sciences was awarded to Swedish geneticist Svante Paabo for his discoveries concerning the DNA sequence of apes and human evolution. His work is especially meaningful as the question of human origin has long been a major concern to mankind. Modern-day wise humans belong to the genus Homo sapiens, along with seven ancient human races that existed millions of years ago. Over time, many species became extinct and Professor Paabo discovered the gene transfer of these extinct species to Homo sapiens. With this discovery, he laid the foundation for other scientists to continue to search for the origin of modern humans.

Developing countries have seen rapid economic growth, but they have also faced unprecedented environmental challenges, including air pollution, water pollution, land pollution, waste pollution, etc. Take air pollution as an example. It is alarming that 99 percent of the world’s population breathes polluted air. Air pollution is deemed a “quiet killer”, giving rise to numerous consequences ranging from health and psychological impacts to economic and social costs. For example, air pollution annually causes roughly 7 million premature deaths and an economic loss of USD 8.1 trillion, accounting for 6.1% of the global GDP. Furthermore, it is worth noting that the urban population is projected to exceed two-thirds of the total global population by 2050, as urbanization exacerbates the air pollution problem, creating even more air pollution challenges for humankind in the long run. Every new piece of information matters for scientific progress in air pollution assessment, policymaking, and public health protection. From this viewpoint, the goal/objective of this Special Issue (SI) of Urban Science is to keep communities, scholars, and policymakers informed on the research progress on air quality and human health. Specifically, this SI serves as a forum for advancing scientific understanding of environmental changes associated with air pollution and air quality, strategies and/or different measures that the public, particularly urban residents, can employ to lessen and/or mitigate unexpected impacts. I hope that the useful information and insightful findings presented by scholars in this SI can support or facilitate desirable urban environment policies that help, ultimately, increase human and societal wellbeing.

Mindspongeconomics (mindspongecon) is a social science theory (a new type of economics) that studies decision-making processes that are based on the think-absorb-eject mechanism, with the input being information particles from the living environment. Mindspongecon is a combination and expansion of Mindsponge theory and behavioral economics. This is a filter-based information processing system with an evaluation mechanism linked to pre-set core values. These values and the information received are the basis for actors such as individuals, households, businesses, and governments to compare, evaluate, and ultimately make decisions. The speed of this decision-making process depends on the speed of information processing and the clarity, detail, and priority of core values in their mindset or perception.