Racial and Ethnic Health Disparities in Incarcerated Populations

Alarming disparities in population health and wellness in the United States have led to multi-disciplinary research efforts to create health equity. Identifying disparities, elucidating the etiological bases of disparities, and implementing solutions to eliminate disparities are part of the U.S. national health agenda. Racial and ethnic disparities have been identified throughout the cancer control continuum, in cardiovascular disease, diabetes and a multitude of other conditions. The causes of disparities are complex, condition specific, and conjectured to result from combinations of biological and socio-behavioral factors. Racial and ethnic health disparities within the vast incarcerated communities have been excluded from most studies, yet are of significant ethical and fiscal concern to inmates, governing bodies, and non-incarcerated communities into which inmates return. Importantly, research on racial and ethnic disparities in this unique population may shed light on the relative etiologies of health disparities and solutions for creating health equity throughout the general population in the United States

Mathematical Formulas for Calculating Net Returns from Participation in Government Farm Programs: Provisions of the Food, Agricultural, Conservation and Trade Act of 1990

Agricultural and Food Policy, Agricultural Finance,

The computational stability properties of the Shuman pressure gradient averaging technique

The stability properties of the Shuman pressure gradient averaging technique are investigated with the linearized shallow water equations. In the simplest case an analytic expression is obtained for the stability region, and the maximum time step is shown to be twice the value for the leapfrog scheme. When a mean flow is added to the equations, it is shown the maximum time step must be reduced. The time averaging suggested by Robert is examined, and again leads to a shorter time step. In each case, however, the use of the Shuman averaging allows a significantly longer time step than the conventional leapfrog schemeSupported in part by the Foundation Research Program of the Naval Postgraduate School with funds provided by the Chief of Naval Research, and in part by Fleet Numerical Weather Central and the Environmental Prediction Research Facility.http://archive.org/details/computationalsta00schoN0001475WR50001N

Using social media to measure impacts of named storm events in the United Kingdom and Ireland

This is the final version. Available on open access from Wiley via the DOI in this recordDespite increasing use of impact-based weather warnings, the social impacts of extreme weather events lie beyond the reach of conventional meteorological observations and remain difficult to quantify. This presents a challenge for validation of warnings and weather impact models. This study considers the application of social sensing, the systematic analysis of unsolicited social media data to observe real-world events, to determine the impacts of named storms in the United Kingdom and Ireland during the winter storm season 2017–2018. User posts on Twitter are analysed to show that social sensing can robustly detect and locate storm events. Comprehensive filtering of tweets containing weather keywords reveals that ~3% of tweets are relevant to severe weather events and, for those, locations could be derived for about 75%. Impacts of storms on Twitter users are explored using the text content of storm-related tweets to assess changes in sentiment and topics of discussion over the period before, during and after each storm event. Sentiment shows a consistent response to storms, with an increase in expressed negative emotion. Topics of discussion move from warnings as the storm approaches, to local observations and reportage during the storm, to accounts of damage/disruption and sharing of news reports following the event. There is a high level of humour expressed throughout. This study demonstrates a novel methodology for identifying tweets which can be used to assess the impacts of storms and other extreme weather events. Further development could lead to improved understanding of social impacts of storms and impact model validation.Economic and Social Research Council (ESRC)Engineering and Physical Sciences Research Council (EPSRC)Natural Environment Research Council (NERC

Reduction of Yield and Income Risk Under Alternative Crop Insurance and Disaster Assistance Plans

This study compares the effectiveness of five crop insurance/disaster assistance plans: an individual farm yield insurance plan similar to the current FCIC multi-peril program ; two area yield insurance plans; a farm yield disaster assistance plan; and an area yield disaster assistance plan. These methods are examined for reduction in yield and gross income variability with and without participation in the government deficiency payment programs using farm-level yield data from 98 dryland wheat farms and 38 dryland corn farms in Kansas . Although individual farm yield insurance is complex, suffers from moral hazard and adverse selection problems, and is likely to be the most expensive to administer , it provides more yield and gross income risk reduction than any of the alternative insurance/disaster assistance plans.Crop Insurance, Crop Disaster Assistance, Risk, Wheat, Corn, Risk and Uncertainty,

MATHEMATICAL FORMULAS FOR CALCULATING NET RETURNS FROM PARTICIPATION IN GOVERNMENT PROGRAMS, CRP, AND CROP INSURANCE ALTERNATIVES

The purpose of this report is to provide a revised version of the publication, "Mathematical Formulas for Calculating Net Returns from Participation in Government Commodity Programs including Marketing Loans" (Williams and Barnaby, 1994). The change in design of the government commodity programs and development of several crop insurance alternatives has been significant since the previous paper was published. The formulas for calculating net returns incorporate provisions from the Farm Security and Rural Investment Act of 2002 and several crop insurance designs developed in the 1990s. Individuals conducting research or education programs will be able to use this revision for reference when estimating net returns for producers under current commodity program and crop insurance plan provisions.Agricultural Finance,

Diffuse continuum transfer in H II regions

We compare the accuracy of various methods for determining the transfer of the diffuse Lyman continuum in HII regions, by comparing them with a high-resolution discrete-ordinate integration. We use these results to suggest how, in multidimensional dynamical simulations, the diffuse field may be treated with acceptable accuracy without requiring detailed transport solutions. The angular distribution of the diffuse field derived from the numerical integration provides insight into the likely effects of the diffuse field for various material distributions.Comment: 12 pages, 7 figures, to be published in MNRA

Social sensing of floods in the UK

This is the final version of the article. Available from Public Library of Science (PLoS) via the DOI in this record.“Social sensing” is a form of crowd-sourcing that involves systematic analysis of digital communications to detect real-world events. Here we consider the use of social sensing for observing natural hazards. In particular, we present a case study that uses data from a popular social media platform (Twitter) to detect and locate flood events in the UK. In order to improve data quality we apply a number of filters (timezone, simple text filters and a naive Bayes ‘relevance’ filter) to the data. We then use place names in the user profile and message text to infer the location of the tweets. These two steps remove most of the irrelevant tweets and yield orders of magnitude more located tweets than we have by relying on geo-tagged data. We demonstrate that high resolution social sensing of floods is feasible and we can produce high-quality historical and real-time maps of floods using Twitter

MS-1 magA: Revisiting Its Efficacy as a Reporter Gene for MRI

Bacterial genes involved in the biomineralization of magnetic nanoparticles in magnetotactic bacteria have recently been proposed as reporters for magnetic resonance imaging (MRI). In such systems, the expression of the bacterial genes in mammalian cells purportedly leads to greater concentrations of intracellular iron or the biomineralization of iron oxides, thus leading to an enhancement in relaxation rate that is detectable via MRI. Here, we show that the constitutive expression of the magA gene from Magnetospirillum magnetotacticum is tolerated by human embryonic kidney (HEK) cells but induces a strong toxic effect in murine mesenchymal/stromal cells and kidney-derived stem cells, severely restricting its effective use as a reporter gene for stem cells. Although it has been suggested that magA is involved in iron transport, when expressed in HEK cells, it does not affect the transcription of endogenous genes related to iron homeostasis. Furthermore, the magA -induced enhancement in iron uptake in HEK cells is insignificant, suggesting this gene is a poor reporter even for cell types that can tolerate its expression. We suggest that the use of magA for stem cells should be approached with caution, and its efficacy as a reporter gene requires a careful assessment on a cell-by-cell basis

Projections of coral cover and habitat change on turbid reefs under future sea-level rise

This is the final version. Available on open access from the Royal Society via the DOI in this recordData accessibility: All field datasets are available from the NERC datacentre: http://www.bgs.ac.uk/services/ngdc/accessions/index.html?simpleText=Great%20Barrier%20Reef#item76769. The model data that support the findings of this study are openly available at: https://github.com/rudyarthur/coral.Global sea-level rise (SLR) is projected to increase water depths above coral reefs. Although the impacts of climate disturbance events on coral cover and three-dimensional complexity are well documented, knowledge of how higher sea levels will influence future reef habitat extent and bioconstruction is limited. Here, we use 31 reef cores, coupled with detailed benthic ecological data, from turbid reefs on the central Great Barrier Reef, Australia, to model broad-scale changes in reef habitat following adjustments to reef geomorphology under different SLR scenarios. Model outputs show that modest increases in relative water depth above reefs (Representative Concentration Pathway (RCP) 4.5) over the next 100 years will increase the spatial extent of habitats with low coral cover and generic diversity. More severe SLR (RCP8.5) will completely submerge reef flats and move reef slope coral communities below the euphotic depth, despite the high vertical accretion rates that characterize these reefs. Our findings suggest adverse future trajectories associated with high emission climate scenarios which could threaten turbid reefs globally and their capacity to act as coral refugia from climate change.Natural Environment Research Council (NERC