The Overlooked Contributors to Climate and Biodiversity Crises: Military Operations and Wars.

The military-industrial complex, military operations, and wars are major contributors to exacerbating both climate change and biodiversity crises. However, their environmental impacts are often shadowed due to national security reasons. The current paper aims to go through the devastating impacts of military operations and wars on climate change and biodiversity loss and challenges that hinder the inclusion of military-related activities into environmental crisis mitigation efforts.

A dataset of blockade, vandalism, and harassment activities for the cause of climate change mitigation.

Environmental activism is crucial for raising public awareness and support toward addressing the climate crisis. However, using climate change mitigation as the cause for blockade, vandalism, and harassment activities might be counterproductive and risk causing negative repercussions and declining public support. The paper describes a dataset of metadata of 89 blockade, vandalism, and harassment events happening 13 countries in recent years.

A dataset of Chinese drivers' driving behaviors and socio-cultural factors related to driving.

Given the high fatality rate due to road traffic accidents in China, understanding the factors influencing aggressive driving behaviors among Chinese drivers is essential to alleviate the problem. The paper describes a dataset of 1039 Chinese drivers' driving behaviors and the socio-cultural factors associated with the behaviors. The dataset was collected through an online survey.

How AI's Self-Prolongation Influences People's Perceptions of Its Autonomous Mind: The Case of U.S. Residents.

The expanding integration of artificial intelligence (AI) in various aspects of society makes the infosphere around us increasingly complex. Humanity already faces many obstacles trying to have a better understanding of our own minds, but now we have to continue finding ways to make sense of the minds of AI. The issue of AI's capability to have independent thinking is of special attention.

An analytical framework-based pedagogical method for scholarly community coaching: A proof of concept.

Working in academia is challenging, even more so for those with limited resources and opportunities. Researchers around the world do not have equal working conditions. The paper presents the structure, operation method, and conceptual framework of the SM3D Portal's community coaching method, which is built to help Early Career Researchers (ECRs) and researchers in low-resource settings overcome the obstacle of inequality and start their career progress.

Introduction to Bayesian Mindsponge Framework analytics: An innovative method for social and psychological research.

The paper introduces Bayesian Mindsponge Framework (BMF) analytics, a new analytical tool for investigating socio, psychological, and behavioral phenomena. The strengths of this method derive from the combination of the mindsponge mechanism's conceptual formulation power and Bayesian analysis's inferential advantages. The BMF-based research procedure includes six main steps, in which the mindsponge-based conceptualization and model construction is the key step that makes the method unique.

Virtual tree, real impact: how simulated worlds associate with the perception of limited resources.

Video games have long been considered an effective educational tool. Environmental education studies have found that games positively affect the feeling of nature connectedness, producing pro-environmental attitudes and behaviors. With growing urbanization, video games also provide chances to interact with nature.

Good ethics cannot stop me from exploiting: The good and bad of anthropocentric attitudes in a game environment.

Video games have the potential to be a tool for communicating pro-environmental values. The present study examines the correlation between players' environmental attitudes and their interaction with virtual natural resources. This study constructs Bayesian ordinal logistic models to analyze survey data of 640 Animal Crossing: New Horizon (ACNH) players from 29 countries.

The psychological mechanism of internet information processing for post-treatment evaluation.

Digital healthcare has been greatly benefiting the public health system, especially during the COVID-19 pandemic. In digital healthcare, information communication through the Internet is crucial. The current study explores how patients' accessibility and trust in Internet information influence their decisions and assessment of healthcare providers by employing the Bayesian Mindsponge Framework (BMF) on a dataset of 1,459 Vietnamese patients.

Good budget or good care: The dilemma of social health insurance in Vietnam.

Objective: 2014 marked a rising public commitment to universal health coverage in Vietnam to eliminate the financial burden for patients, but there are lots of hindrances. It is evident that patients met difficulties to validate their insurances, so health insurance does not significantly address out-of-pocket payments issues. Furthermore, the unequal geographical distribution of hospitals in Vietnam has created an inequality between non-residing patients and residing patients; the former usually pay more.

Top economics universities and research institutions in Vietnam: evidence from the SSHPA dataset.

Economic research is vital for creating more suitable policies to facilitate economic growth. Employing a combination of descriptive and Bayesian analyses, this paper investigates the research landscape of the economics discipline in Vietnam, in particular, the leading affiliations in the field and how these institutions compare to each other in terms of productivity, the number of lead authors, new authors and publications' journal impact factor. We also examine the differences in the authors' productivity based on their age and gender.

Bayesian analysis for social data: A step-by-step protocol and interpretation.

The paper proposes Bayesian analysis as an alternative approach for the conventional frequentist approach in analyzing social data. A step-by-step protocol of how to implement Bayesian multilevel model analysis with social data and how to interpret the result is presented. The article used a dataset regarding religious teachings and behaviors of lying and violence as an example.

What have Vietnamese scholars learned from researching entrepreneurship? A Systematic review.

This study reviews the research landscape of entrepreneurship studies done by Vietnamese researchers from 2008 to 2018. A sample size of 111 articles from 108 academic outlets (journals, conferences proceedings, and book chapters) indexed in Web-of-Science and Scopus were extracted on the SSHPA database, then read and systematically classified into 15 topics. A systematic review reveals (i) a high frequency of research on various aspects of management, (ii) a lackluster focus on innovation and creativity in entrepreneurial activities, (iii) and worrisome cultural influences on the level of creativity.

Making social sciences more scientific: Literature review by structured data.

The paper proposes a new method for conducting a literature review by structured data of more than 2200 scientific articles and 1300 researchers on SSHPA (Social Sciences and Humanities Peer Awards), an open database of Vietnamese social scientists' scientific productivity. Based on the logical structure of SSHPA, the authors create a specialized database for the literature review: SDA (SSHPA Data Analysis). Combining expert's caliber and computational algorithms, SDA is expected to offer an immensely efficient and analytical based method of scanning data, hence ameliorating the traditional approach to conducting a literature review.

Global Evolution of Research in Artificial Intelligence in Health and Medicine: A Bibliometric Study.

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.

Artificial Intelligence vs. Natural Stupidity: Evaluating AI readiness for the Vietnamese Medical Information System.

This review paper presents a framework to evaluate the artificial intelligence (AI) readiness for the healthcare sector in developing countries: a combination of adequate technical or technological expertise, financial sustainability, and socio-political commitment embedded in a healthy psycho-cultural context could bring about the smooth transitioning toward an AI-powered healthcare sector. Taking the Vietnamese healthcare sector as a case study, this paper attempts to clarify the negative and positive influencers. With only about 1500 publications about AI from 1998 to 2017 according to the latest Elsevier AI report, Vietnamese physicians are still capable of applying the state-of-the-art AI techniques in their research.

The Dark Side of Female HIV Patient Care: Sexual and Reproductive Health Risks in Pre- and Post-Clinical Treatments.

This study examines the pre- and post-clinical issues in human immunodeficiency virus (HIV) care and treatment for women and girls of high-risk population groups-namely sex workers, injecting drug users, women living with HIV, primary sexual partners of people living with HIV, adolescent girls who are children of these groups, and migrant young girls and women-in five provinces and cities in Vietnam. Through a sample of 241 surveyed participants and 48 respondents for in-depth interviews and 32 respondents in the focus group discussions, the study identifies multiple barriers that keep these groups from receiving the proper health care that is well within their human rights. Most respondents rated HIV testing as easily accessible, yet only 18.

An open database of productivity in Vietnam's social sciences and humanities for public use.

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.