Objective/Background Fire service shift workers are at risk of developing mental health difficulties related to sleep loss and emotion dysregulation. We aimed to clarify the relationship between off-shift recovery sleep and emotion regulation on stress, fatigue and irritability. Participants A total of 61 fire service shift workers (e.g. firefighter, captain, engineer, paramedic) on a "5/6" shift. Methods Following five 24-hour shifts, participants reported on emotion regulation as well as daily sleep, stress, fatigue and irritability during six consecutive off-shift recovery days. Mediation analyses examined (1) emotion regulation as a predictor and sleep as a mediator of stress, fatigue and irritability outcomes; and (2) sleep as a predictor and emotion regulation as a mediator of stress, fatigue and irritability outcomes. Results Greater self-reported total sleep time predicted lower recovery stress, fatigue, and irritability. Greater subjective sleep efficiency predicted lower recovery stress and fatigue, but not irritability. No significant relationships emerged for objective sleep or emotion regulation variables predicting stress, fatigue or irritability. There were no significant findings with either emotion regulation or sleep variables included as mediators. Conclusions These findings suggest that stress management programs for fire service shift workers may be most effective when targeting sleep efficiency and quantity rather than emotion regulation strategies in the off-shift recovery period.With ever-decreasing sequencing costs, research on the population biology of plant pathogens is transitioning from population genetics-using dozens of genetic markers or polymorphism data of several genes-to population genomics-using several hundred to tens of thousands of markers or whole-genome sequence data. The field of population genomics is characterized by rapid theoretical and methodological advances and by numerous steps and pitfalls in its technical and analytical workflow. In this article, we aim to provide a brief overview of topics relevant to the study of population genomics of filamentous plant pathogens and direct readers to more extensive reviews for in-depth understanding. We briefly discuss different types of population genomics-inspired research questions and give insights into the sampling strategies that can be used to answer such questions. We then consider different sequencing strategies, the various options available for data processing, and some of the currently available tools for population genomic data analysis. We conclude by highlighting some of the hurdles along the population genomic workflow, providing cautionary warnings relative to assumptions and technical challenges, and presenting our own future perspectives of the field of population genomics for filamentous plant pathogens. Potential modification of the association between maternal particulate matter (PM) exposure and preterm delivery (PTD) by folic acid (FA) supplementation has not been studied. We examined whether FA supplementation could reduce the risk of PTD associated with maternal exposure to PM in ambient air during pregnancy. In a cohort study covering 30 of the 31 provinces of mainland China in 2014, 1,229,556 primiparas of Han ethnicity were followed until labor. We collected information on their FA supplementation and pregnancy outcomes and estimated each participant's exposure to PM with diameters of ≤ 10 μ m ( PM 10 ), 2.5 μ m ( PM 2.5 ), and 0.001 ]. Our findings require confirmation in other populations, but they suggest that initiating FA supplementation ≥ 3  months prior to pregnancy may lessen the risk of PTD associated with PM exposure during pregnancy among primiparas of Han ethnicity. https//doi.org/10.1289/EHP6386. Our findings require confirmation in other populations, but they suggest that initiating FA supplementation ≥ 3  months prior to pregnancy may lessen the risk of PTD associated with PM exposure during pregnancy among primiparas of Han ethnicity. https//doi.org/10.1289/EHP6386.The preventive and corrective proactivity model explores how internal and external resources mediate age-related stressors to counter negative outcomes of aging. Older adults' proactivity about their future is consistently associated with higher quality of life, but research has not explored younger adults' perceptions of their aging. We used interpretive phenomenology analysis to analyze 24 students' essays from the beginning and end of an introductory gerontology course to understand anticipated adaptation to their 75-year-old self. The superordinate theme proactive steps to avoid negative aspects of aging comprised five subordinate themes (being productive, exercising and eating right, being financially stable, being socially connected, and the roles of older adults). Students presented unrealistically positive selves at 75 and discussed how to maintain and adapt to redefine their aging experience. Findings have implications for research on adaption, proactivity, and the future-self, and suggest that pedagogy incorporates realistic expectations of aging.In the food industry, there is a need to use the properties of antioxidants and antimicrobials effectively to prevent microbial growth in foods, as well as to retard the oxidation of fats to delay rancidity. Nevertheless, the emerging concern about the negative effects of synthetic antioxidants and antimicrobials on consumers' health along with the advantages of natural substances have led to more fundamental research to investigate the mechanism of action and toxicity of natural antioxidants and antimicrobials. There is also a need to establish in each country an appropriate regulatory scheme to assure consumers of the safety and efficacy of these materials. https://www.selleckchem.com/JAK.html Thus, this present review provides a detailed overview of the different antioxidant and antimicrobial groups, focusing on their properties, mechanism of action, and applicability in the food industry to be a guide for students and researchers.