HelioSwarm: A Multipoint, Multiscale Mission to Characterize Turbulence

HelioSwarm (HS) is a NASA Medium-Class Explorer mission of the Heliophysics Division designed to explore the dynamic three-dimensional mechanisms controlling the physics of plasma turbulence, a ubiquitous process occurring in the heliosphere and in plasmas throughout the universe. This will be accomplished by making simultaneous measurements at nine spacecraft with separations spanning magnetohydrodynamic and sub-ion spatial scales in a variety of near-Earth plasmas. In this paper, we describe the scientific background for the HS investigation, the mission goals and objectives, the observatory reference trajectory and instrumentation implementation before the start of Phase B. Through multipoint, multiscale measurements, HS promises to reveal how energy is transferred across scales and boundaries in plasmas throughout the universe

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution—individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic.Peer reviewe

Conviviality by design : the socio-spatial qualities of spaces of intercultural urban encounters

This paper presents findings from a mixed-method research project which explored use of outdoor spaces and social connections in Bradford, a post-industrial city in the north of England with a highly ethnically diverse population. Data was collected through micro-scale behavioural mapping of public spaces (analysed using GIS) and both on-site and in-depth interviews. The integration of these methods allows a focus on intersectional identities and social values for everyday conviviality situated in different typologies of public open spaces (parks, squares, streets) in city centre and suburban neighbourhoods. The analysis offers nuanced insights into the socio-spatial aspects of conviviality: patterns of activity by diverse users, situations in which encounters are prompted, and the implications of negotiating differences in relation to perceptions of self, others, and the environment. We discuss the relevance of the urban public realm for shared understandings of diversity, qualities of visibility, lingering and playfulness, and the importance of threshold spaces. We explore racialised and excluding experiences and how these relate to mobility and territorial patterns of use, specifically with relation to gender. The paper highlights connections between intercultural encounters and urban design practice, with implications for well-being and integration in ethnically diverse urban areas

Predicting attitudinal and behavioral responses to COVID-19 pandemic using machine learning

At the beginning of 2020, COVID-19 became a global problem. Despite all the efforts to emphasize the relevance of preventive measures, not everyone adhered to them. Thus, learning more about the characteristics determining attitudinal and behavioral responses to the pandemic is crucial to improving future interventions. In this study, we applied machine learning on the multinational data collected by the International Collaboration on the Social and Moral Psychology of COVID-19 (N = 51,404) to test the predictive efficacy of constructs from social, moral, cognitive, and personality psychology, as well as socio-demographic factors, in the attitudinal and behavioral responses to the pandemic. The results point to several valuable insights. Internalized moral identity provided the most consistent predictive contribution—individuals perceiving moral traits as central to their self-concept reported higher adherence to preventive measures. Similar results were found for morality as cooperation, symbolized moral identity, self-control, open-mindedness, and collective narcissism, while the inverse relationship was evident for the endorsement of conspiracy theories. However, we also found a non-neglible variability in the explained variance and predictive contributions with respect to macro-level factors such as the pandemic stage or cultural region. Overall, the results underscore the importance of morality-related and contextual factors in understanding adherence to public health recommendations during the pandemic

Soybean production in Illinois

Cover title.Bibliography: p. 531

Growing alfalfa in Illinois / bulletin No. 349

Cover title.Bibliography: p. 448

Evaluating the Accuracy and Precision of Multiple Abundance Estimators Using State-Space Models: A Case Study for a Threatened Population of Chinook Salmon in Johnson Creek, Idaho

<div><p></p><p>Over the last century, Chinook Salmon <i>Oncorhynchus tshawytscha</i> populations in the Pacific Northwest have experienced dramatic declines, leading to many of them being listed as threatened under the Endangered Species Act. The abundance of these threatened populations relative to the thresholds for delisting remains the primary metric for assessing recovery, yet determining the true population abundances from multiple survey types with unknown levels of accuracy and precision remains difficult. The abundance of the spring–summer Chinook Salmon population in Johnson Creek, Idaho, has been measured using a mark–recapture survey and three different redd count surveys (RCSs) that vary temporally and spatially. Using a state-space model, we determined the accuracy and precision of each survey type by decoupling the observation error of the survey from the process error describing the annual variability in the true population abundance. We then extended the results of the model to determine the risk of managers’ incorrectly delisting the population (a type I error) or incorrectly keeping it listed (a type II error). Finally, we show that salmon managers with data-limited populations (primarily those with only single-pass index RCSs) might use the results of our risk analysis to determine whether expanding survey efforts to minimize management risks is appropriate when they are confronted with dwindling financial resources. For example, we determined that although both the multiple-pass extended RCS (CV = 0.06) and mark–recapture surveys (CV = 0.14) provide unbiased estimates of salmon abundance in Johnson Creek, the mark–recapture study can have annual costs that are 30–100 times greater. Managers may determine that directing research funds toward acquiring information unique to weir-based mark–recapture surveys (i.e., migration timing, good genetics samples, etc.) may not be justified for all populations.</p><p>Received October 7, 2013; accepted March 5, 2014</p></div

Fisheries 9RO1R1RYHPEHUZZZÀVKHULHVRUJ GUIDELINES AND REVIEWS AFS Completes Assessment, Issues New Guidance Regarding Hatchery Operation and the Use of Hatchery-Origin Fish

BACKGROUND The American Fisheries Society (AFS) is the oldest, larg-HVW DQGPRVW LQÀXHQWLDOSURIHVVLRQDORUJDQL]DWLRQGHYRWHG WR ¿VKHULHVFRQVHUYDWLRQDQGLQWKLVFDSDFLW\WKH$)6KDVURXWLQH-ly assessed the contributions of hatcheries to natural resource management and issued recommendations to guide natural re-VRXUFHPDQDJHUV LQEHVW XVHVRI KDWFKHU\RULJLQ¿VK)RU WKH past several decades, the Society has explored these issues in a formalized process conducted at approximately 10-year in-tervals to assess contemporary issues related to hatcheries and management of aquatic resources. Representatives of the Fish Culture and Fisheries Management Sections came together in WRDQVZHUWKHTXHVWLRQ)LVKFXOWXUH¿VKPDQDJHPHQW¶V ally? ” in a symposium entitled “The Role of Fish Culture in Fisheries Management. ” In 1994, AFS reexamined the issue