Will legislative gender quotas increase female representation in Ireland? A feminist institutionalism analysis

Informed by insights from feminist institutionalism, this article considers the effect of various aspects of the Irish political system on women’s candidate selection and election, and discusses the extent to which the new gender quota law will be facilitated by these processes. In studying Ireland the article highlights a relatively under-studied case in the comparative literature on gender and politics. It also contributes to the burgeoning field of feminist institutionalism research by examining the mechanisms surrounding female candidate recruitment, selection and election to assess the likely impact of gender quotas on women’s political representation in Ireland. Taking Ireland’s relatively unique PR-STV electoral system as the primary institutional context, we argue that the electoral system interacts with cultural factors to determine female candidacy opportunities and suggest that the biggest challenge to the effective implementation of legislative gender quotas in Ireland are informal mechanisms such as masculinised party cultures, societal gendered legacies and pre-existing informal rules surrounding incumbency and localism. However, we advise if party leaders and selectorates are willing to fully embrace gender quotas and integrate them into their candidate nomination processes, there is evidence to suggest that this will have a positive effect on increasing women’s political representation in Ireland

Socioeconomic and Racial Disparities in Cancer Risk from Air Toxics in Maryland

We linked risk estimates from the U.S. Environmental Protection Agency’s National Air Toxics Assessment (NATA) to racial and socioeconomic characteristics of census tracts in Maryland (2000 Census) to evaluate disparities in estimated cancer risk from exposure to air toxics by emission source category. In Maryland, the average estimated cancer risk across census tracts was highest from on-road sources (50% of total risk from nonbackground sources), followed by nonroad (25%), area (23%), and major sources (< 1%). Census tracts in the highest quartile defined by the fraction of African-American residents were three times more likely to be high risk (> 90th percentile of risk) than those in the lowest quartile (95% confidence interval, 2.0–5.0). Conversely, risk decreased as the proportion of whites increased (p < 0.001). Census tracts in the lowest quartile of socioeconomic position, as measured by various indicators, were 10–100 times more likely to be high risk than those in the highest quartile. We observed substantial risk disparities for on-road, area, and nonroad sources by socioeconomic measure and on-road and area sources by race. There was considerably less evidence of risk disparities from major source emissions. We found a statistically significant interaction between race and income, suggesting a stronger relationship between race and risk at lower incomes. This research demonstrates the utility of NATA for assessing regional environmental justice, identifies an environmental justice concern in Maryland, and suggests that on-road sources may be appropriate targets for policies intended to reduce the disproportionate environmental health burden among economically disadvantaged and minority populations

Assessment of Temperature and Ultraviolet Radiation Effects on Sunburn at an Inland U.S. Beach: A Cohort Study

Background Increases in outdoor temperature may lead to increases in sunburn, outdoor exposure, and skin cancer in human populations. Objective This study aimed to quantify sunburn incidence and risk for Ohio beachgoers exposed to varying outdoor conditions. Methods Sunburn incidence data were obtained through a prospective cohort study at East Fork Lake (Cincinnati, Ohio, USA). Recruitment occurred over 26 weekend days. Beach interviews and follow-up telephone interviews obtained exposure and health information. New sunburns were self-reported 8–9 days post-enrollment. Survey data were paired with ultraviolet radiation (UVR) index and temperature data for statistical analysis. Results Among 947 beachgoers, new sunburns were reported in 18% of swimmers. Sunburn incidence was associated with temperature (odds ratio = 1.2; 95% CI: 1.1 – 1.4) and UVR index (odds ratio = 1.6; 95% CI: 1.0 – 2.5) in models adjusted for water exposure, arrival time, and beach visit frequency. Some evidence of a temperature+UVR interaction was observed. Limitations Exposure and sunburn data were self-reported without clinical diagnosis and date of onset. The follow-up period enabled sunburns to be reported from a variety of days rather than only the beach visit day thereby limiting interpretation. Sun protection behaviors were not evaluated. Conclusions Temperature and UVR influence sunburn frequency. Temperature, however was more strongly associated with sunburn in beachgoers than the nearest measured UVR index, suggesting future investigations are needed to better understand how temperature effects sunburn development. Interventions for decreasing sunburn are needed

De novo identification of differentially methylated regions in the human genome

Background: The identification and characterisation of differentially methylated regions (DMRs) between phenotypes in the human genome is of prime interest in epigenetics. We present a novel method, DMRcate, that fits replicated methylation measurements from the Illumina HM450K BeadChip (or 450K array) spatially across the genome using a Gaussian kernel. DMRcate identifies and ranks the most differentially methylated regions across the genome based on tunable kernel smoothing of the differential methylation (DM) signal. The method is agnostic to both genomic annotation and local change in the direction of the DM signal, removes the bias incurred from irregularly spaced methylation sites, and assigns significance to each DMR called via comparison to a null model. Results: We show that, for both simulated and real data, the predictive performance of DMRcate is superior to those of Bumphunter and Probe Lasso, and commensurate with that of comb-p. For the real data, we validate all array-derived DMRs from the candidate methods on a suite of DMRs derived from whole-genome bisulfite sequencing called from the same DNA samples, using two separate phenotype comparisons. Conclusions: The agglomeration of genomically localised individual methylation sites into discrete DMRs is currently best served by a combination of DM-signal smoothing and subsequent threshold specification. The findings also suggest the design of the 450K array shows preference for CpG sites that are more likely to be differentially methylated, but its overall coverage does not adequately reflect the depth and complexity of methylation signatures afforded by sequencing. For the convenience of the research community we have created a user-friendly R software package called DMRcate, downloadable from Bioconductor and compatible with existing preprocessing packages, which allows others to apply the same DMR-finding method on 450K array data

Telomere length associations with cognition depend on Alzheimer's disease biomarkers

Introduction While telomere shortening, a marker of cellular aging, may impact the progression of age‐related neurodegenerative diseases, its association with cognition is unclear, particularly in the context of Alzheimer's disease (AD) pathology. Methods Telomere, cognitive, and CSF data from 482 participants in the AD Neuroimaging Initiative (148 cognitively normal, 283 mild cognitive impairment, 51 AD) was leveraged to assess telomere length associations with cognition (measured by memory and executive function) and interactions with CSF amyloid‐β, tau, and APOE‐ε4. Secondary analyses assessed brain volume and thickness outcomes. Results Longer telomeres at baseline were associated with faster executive function decline. Amyloid‐β and tau interacted with telomere length on cognition, with longer telomeres related to faster decline among biomarker‐positive individuals. Discussion Telomere associations with cognition shift with AD progression, with longer telomeres related to worse outcomes as pathology increases, highlighting the need for further investigation of telomere length along the AD neuropathological cascade

Observations of C-Band Brightness Temperature and Ocean Surface Wind Speed and Rain Rate in Hurricanes Earl and Karl (2010)

No abstract availabl

Observations of C-Band Brightness Temperature from the Hurricane Imaging Radiometer (HIRAD) on Board NASA WB-57 During GRIP in Hurricanes Earl And Karl (2010)

No abstract availabl