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This research employs Wildavsky's two -strategies-anticipation and resilience-as our conceptual framework to compare COVID-19 policies in the United States, South Korea, and Taiwan. Also, following Handmer and Dovers' three types of resilience, we develop theory-driven codes and then explain how governmental structures and cultural factors influenced governmental responses. We found that a key response to this pandemic is arguably correlated with how quick and flexible a government can adopt different types of resilient strategies. Our research provides a foundation for governmental emergency response discussions and management strategies to better cope with public health crises in the future.

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Alaska and Hawaii, the only two noncontiguous states in the United States, have different marijuana policy environments. Alaska enacted recreational marijuana legalization (RML) in 2014, whereas recreational marijuana is still illegal in Hawaii. This study analyzed how RML affects adolescents' marijuana use (MU) by comparing two states. We used data from 2 states (Alaska and Hawaii) from the Youth Risk Behavior Survey, 2009 to 2019 years (N = 35 467). The trends of lifetime MU and current MU were examined. Using difference-in-differences analysis models, this study investigated whether RML increased lifetime and current MU in Alaska compared with Hawaii after adjusting for socioeconomic characteristics. Both lifetime and current MU prevalence among adolescents in Alaska increased after RML, while both rates in Hawaii gradually decreased. The rate of lifetime MU in Alaska was significantly increased after RML (odds ratio [OR] = 1.29) compared with Hawaii. Similarly, the current MU among adolescents in Alaska was significantly increased compared with that in Hawaii (OR = 1.34). Both lifetime and current MU were increased following RML in Alaska, suggesting that RML may affect the increase of MU among adolescents.

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BACKGROUND: Little is known about how race and ethnicity influence marijuana-specific risk and protective factors in U.S. adolescents. We examined differences in risk and protective factors of marijuana use (MU) and their associations with MU by race/ethnicity. METHODS: The present study used data from the 2015-2019 National Survey on Drug Use and Health. A total of 68,263 adolescents (aged 12 to 17 years) were divided into seven subgroups by race/ethnicity (White, Hispanic, Black, Asian, Native American, Native Hawaiian/Pacific Islander (NH/PI), and mixed race). Marijuana-specific risk and protective factors (RPFs) were examined, including perceived availability of marijuana, adolescents' perceived risk of MU and perceived disapproval of parents, peers, and close friends. Past-month, past-year, and lifetime MU were used as MU outcomes to examine the associations with RPFs as well as with race/ethnicity. RESULTS: Overall, 6.85, 12.67, and 15.52% of the sample reported past-month, past-year, and lifetime MU respectively. Weighted adjusted logistic regression analyses revealed that mixed race adolescents reported the greatest perceived availability of marijuana, whereas Black and Asian adolescents had less access compared to White adolescents. The adolescents' perception of parental disapproval of MU was the lowest for Native American adolescents and highest for Asian adolescents. Mixed race adolescents experienced lower peer and close friend disapproval of MU while Black and Asian adolescents had higher. The MU risk perception was lower in most groups including Black, Hispanic, Native American, and mixed race adolescents, but not in Asian adolescents. Native American adolescents scored the highest on all MU outcomes, whereas Asian adolescents scored the lowest. Perceived availability of marijuana was associated with higher MU in all MU outcomes. Lower disapproval MU perceptions and lower MU risk perceptions were also associated with greater MU. CONCLUSION: These findings suggest there is considerable heterogeneity of marijuana risk and protective factors and MU across race/ethnicity among U.S. adolescents.

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While many studies that have been conducted in recent years examining the education and workforce outcomes of STEM graduates, few have focused on the behavioral and social sciences (BSS). Federal agencies, such as National Institutes of Health (NIH), are implementing policies to foster multidisciplinary research in an effort to find more effective solutions to complex problems. As a result, there is growing interest in the career pathways of BSS scientists. This study seeks to increase our understanding of how BSS graduates, particularly women and underrepresented minorities, transition to employment within their respective fields. The focus of this research is the impact of horizontal mismatch, defined as the misalignment between a worker's degree and occupational fields, on job satisfaction and wage outcomes. This analysis of returns to education when mismatch occurs, including a comparison among majors and various demographic groups, provides insights into the labor market experiences of these scientists. Mismatched graduates were found to be much more vulnerable, earning less, and having lower job satisfaction, than their counterparts employed in jobs that aligned with their field of study. Additional job-related training was found to have a positive influence on these outcomes. Also of interest in this study were variations in wage penalties and job satisfaction between groups having different gender and race diversity characteristics. These findings are useful to human resource development (HRD) professionals, governmental policymakers, and other stakeholders seeking strategies to improve the workforce outcomes of BSS scientists.

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While behavioral and social sciences occupations comprise one of the largest portions of the "STEM" workforce, most studies of diversity in STEM overlook this population, focusing instead on fields such as biomedical or physical sciences. This study evaluates major demographic trends and productivity in the behavioral and social sciences research (BSSR) workforce in the United States during the past decade. Our analysis shows that the demographic trends for different BSSR fields vary. In terms of gender balance, there is no single trend across all BSSR fields; rather, the problems are field-specific, and disciplines such as economics and political science continue to have more men than women. We also show that all BSSR fields suffer from a lack of racial and ethnic diversity. The BSSR workforce is, in fact, less representative of racial and ethnic minorities than are biomedical sciences or engineering. Moreover, in many BSSR subfields, minorities are less likely to receive funding. We point to various funding distribution patterns across different demographic groups of BSSR scientists, and discuss several policy implications.

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We examine effects of government spending on postdoctoral researchers' (postdocs) productivity in biomedical sciences, the largest population of postdocs in the US. We analyze changes in the productivity of postdocs before and after the US government's 1997 decision to increase NIH funding. In the first round of analysis, we find that more government spending has resulted in longer postdoc careers. We see no significant changes in researchers' productivity in terms of publication and conference presentations. However, when the population is segmented by citizenship, we find that the effects are heterogeneous; US citizens stay longer in postdoc positions with no change in publications and, in contrast, international permanent residents (green card holders) produce more conference papers and publications without significant changes in postdoc duration. Possible explanations and policy implications of the analysis are discussed.

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