Retractions are not intrinsically bad: they are a practical way to correct for human fallibility." Reform retractions to make them more transparent The scientific community should agree on the essential information to be provided when pulling a paper from the scientific literature.
Having geographical proximity and a high volume of trade with China, the first country to record an outbreak of the new Coronavirus disease (COVID-19), Vietnam was expected to have a high risk of transmission. However, as of 4 April 2020, in comparison to attempts to containing the disease around the world, responses from Vietnam are 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.
The increasing application of Artificial Intelligence (AI) in health and medicine has attracted a great deal of research interest in recent decades. This study aims to provide a global and historical picture of research concerning AI in health and medicine. A total of 27,451 papers that were published between 1977 and 2018 (84.6% were dated 2008–2018) were retrieved from the Web of Science platform. The descriptive analysis examined the publication volume, and authors and countries collaboration. A global network of authors’ keywords and content analysis of related scientific literature highlighted major techniques, including Robotic, Machine learning, Artificial neural network, Artificial intelligence, Natural language process, and their most frequent applications in Clinical Prediction and Treatment. The number of cancer-related publications was the highest, followed by Heart Diseases and Stroke, Vision impairment, Alzheimer’s, and Depression. Moreover, the shortage in the research of AI application to some high burden diseases suggests future directions in AI research. This study offers a first and comprehensive picture of the global efforts directed towards this increasingly important and prolific field of research and suggests the development of global and national protocols and regulations on the justification and adaptation of medical AI products.
A flat (Friedman 2005) or spiky (Florida 2005) world does not matter, as globalization has passed the point of no return. Much of the international recognition for an emerging economy, therefore, rests with its cultural relevance to its economic partners worldwide. Active participation on the global scale has made acculturation more apparent and faster today, especially for managers working in multicultural environments (Gupta & Govindarajan 2002). In other words, managers with global mindsets are presumably more open in their thinking (Taylor 1991), which in turn enables them to make use of serendipity as a strategic advantage (Napier & Vuong 2013b). Meanwhile, businesspeople are facing an emerging problem of getting so very many cultural values. A framework for assessing the values may help them improve their ability to respond not only faster, but also more efficiently to a new cultural setting. Last but not least, a fast-changing world renders it possible to make a proper values today inappropriate tomorrow and vice versa. It is, therefore, necessary to keep value evaluation as well as learning/unlearning processes continuous. This chapter proposes the concept of the mindsponge and its underlying themes that explain why and how executives, managers, and corporations could replace waning values in their mindsets with those absorbed during their exposure to multicultural and global settings. One can think of a mindsponge as a metaphor of the mind as a sponge that squeezes out inappropriate values and absorbs new ones that fit or complement the context at hand. This chapter first provides a brief literature review on global mindset and cultural values, which suggests that not only can a mindset be improved, but that its learning mechanism can also be developed. Then the chapter offers a conceptual framework, called the "mindsponge," which builds upon earlier works linking mindset to themes of multi-filtering (e.g., Vuong & Napier 2013, 2014). The process is proposed to help identify emerging values in the transition economy of Vietnam and also to reconfirm existing core values. Discussions about (i) serendipity as a method of innovation, (ii) pursuit of
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.