408 research outputs found

    Pride and Prejudice: Same-Sex Marriage Legalization Announcements and Hate Crimes

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    In this paper, we examine whether same-sex marriage legalization announcements impact the occurrence of hate crimes against lesbian, gay, bisexual, and transgender (LGBT) people. Using a difference-in-differences design, we exploit the variation in the timing of same-sex marriage legalization announcements across states. On average, a same-sex marriage legalization announcement reduces the anti-LGBT hate crime rate by .112 per 100,000 people, although some additional analyses have weaker results. Decreases are mostly driven by reductions in violent crimes. Event-study estimates show that results fade after 1 year and provide evidence that reductions are not due to changes in social trends before an announcement. Our results demonstrate that salient, progressive LGBT policy announcements may, by themselves, effectively reduce anti-LGBT hate crimes

    Cassini Uvis Stellar Occultation Observations of Saturn\u27s Rings

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    The Cassini spacecraft\u27s Ultraviolet Imaging Spectrograph (UVIS) includes a high-speed photometer (HSP) that has observed more than 100 stellar occultations by Saturn\u27s rings. Here, we document a standardized technique applied to the UVIS-HSP ring occultation datasets delivered to the Planetary Data System as higher level data products. These observations provide measurements of ring structure that approaches the scale of the largest common ring particles (similar to 5 m). The combination of multiple occultations at different viewing geometries enables reconstruction of the three-dimensional structure of the rings. This inversion of the occultation data depends on accurate calibration of the data so that occultations of different stars taken at different times and under different viewing conditions can be combined to retrieve ring structure. We provide examples of the structure of the rings as seen from several occultations at different incidence angles to the rings, illustrating changes in the apparent structure with viewing geometry

    Multi-Drug Resistance Transporters and a Mechanism-Based Strategy for Assessing Risks of Pesticide Combinations to Honey Bees

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    Annual losses of honey bee colonies remain high and pesticide exposure is one possible cause. Dangerous combinations of pesticides, plant-produced compounds and antibiotics added to hives may cause or contribute to losses, but it is very difficult to test the many combinations of those compounds that bees encounter. We propose a mechanism-based strategy for simplifying the assessment of combinations of compounds, focusing here on compounds that interact with xenobiotic handling ABC transporters. We evaluate the use of ivermectin as a model substrate for these transporters. Compounds that increase sensitivity of bees to ivermectin may be inhibiting key transporters. We show that several compounds commonly encountered by honey bees (fumagillin, Pristine, quercetin) significantly increased honey bee mortality due to ivermectin and significantly reduced the LC50 of ivermectin suggesting that they may interfere with transporter function. These inhibitors also significantly increased honey bees sensitivity to the neonicotinoid insecticide acetamiprid. This mechanism-based strategy may dramatically reduce the number of tests needed to assess the possibility of adverse combinations among pesticides. We also demonstrate an in vivo transporter assay that provides physical evidence of transporter inhibition by tracking the dynamics of a fluorescent substrate of these transporters (Rhodamine B) in bee tissues. Significantly more Rhodamine B remains in the head and hemolymph of bees pretreated with higher concentrations of the transporter inhibitor verapamil. Mechanism-based strategies for simplifying the assessment of adverse chemical interactions such as described here could improve our ability to identify those combinations that pose significantly greater risk to bees and perhaps improve the risk assessment protocols for honey bees and similar sensitive species

    Genome content and phylogenomics reveal both ancestral and lateral evolutionary pathways in plant-pathogenic Streptomyces species

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    © 2016, American Society for Microbiology. All Rights Reserved. Streptomyces spp. are highly differentiated actinomycetes with large, linear chromosomes that encode an arsenal of biologically active molecules and catabolic enzymes. Members of this genus are well equipped for life in nutrient-limited environments and are common soil saprophytes. Out of the hundreds of species in the genus Streptomyces, a small group has evolved the ability to infect plants. The recent availability of Streptomyces genome sequences, including four genomes of pathogenic species, provided an opportunity to characterize the gene content specific to these pathogens and to study phylogenetic relationships among them. Genome sequencing, comparative genomics, and phylogenetic analysis enabled us to discriminate pathogenic from saprophytic Streptomyces strains; moreover, we calculated that the pathogen-specific genome contains 4,662 orthologs. Phylogenetic reconstruction suggested that Streptomyces scabies and S. ipomoeae share an ancestor but that their biosynthetic clusters encoding the required virulence factor thaxtomin have diverged. In contrast, S. turgidiscabies and S. acidiscabies, two relatively unrelated pathogens, possess highly similar thaxtomin biosynthesis clusters, which suggests that the acquisition of these genes was through lateral gene transfer

    Advancing environmental risk assessment of regulated products under EFSA's remit

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    The pre‐market environmental risk assessment (ERA ) of regulated products such as genetically modified organisms, plant protection products and feed additives is an important process to safeguard the desired level of protection of the environment and biodiversity. ERA evaluates the potential adverse effects on the environment of certain actions, and is an important analytical scientific tool to support regulatory decision‐making. Significant advances have been made in the field in recent years. Potential avenues to the further advancement of ERA of regulated products under EFSA 's remit were discussed during the breakout session ‘Advancing environmental risk assessment’ held at the EFSA 2nd Scientific Conference ‘Shaping the Future of Food Safety, Together’ (Milan, Italy, 14–16 October 2015). The value of ERA and its relevance to decision‐making can be increased by: (1) using the ecosystem services approach to make protection goals operational; (2) relying on problem formulation to enhance the relevance of ERA studies; (3) complying with quality standards to warrant the reliability of ERA studies; (4) making ERA more contextual by accounting for multiple stressors and environmental benefits; and (5) acknowledging the strengths and limitations of post‐market environmental monitoring as a tool to resolve scientific uncertainties

    Misapplication of the Tarasoff duty to driving cases: A call for a reframing of theory

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    In the years since the original Tarasoff cases created a new duty for psychotherapists toward third parties harmed by patients' violence, a series of cases nationwide-so called "driving casesv-have applied Tarasoff-like reasoning to situations where a patient injured others while driving a car. Our thesis in this paper is that such application is inappropriate since it represents an unjustified and largely unexamined assumption that driving injury is an expression of the mental-illnessderived intended violence that justifies the Tarasoff duty and its inevitable associated breach of confidentiality. We suggest to the contrary that driving cases almost invariably result from a patient's negligent driving rather than intentional violence stemming from mental illness; that clinicians in most instances have almost no capacity, training, or clinical bases on which to predict a patient's future negligence, violence aside; and that the theory of driving cases should be revised

    A Comparison of Honey Bee-Collected Pollen From Working Agricultural Lands Using Light Microscopy and ITS Metabarcoding

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    Taxonomic identification of pollen has historically been accomplished via light microscopy but requires specialized knowledge and reference collections, particularly when identification to lower taxonomic levels is necessary. Recently, next-generation sequencing technology has been used as a cost-effective alternative for identifying beecollected pollen; however, this novel approach has not been tested on a spatially or temporally robust number of pollen samples. Here, we compare pollen identification results derived from light microscopy and DNA sequencing techniques with samples collected from honey bee colonies embedded within a gradient of intensive agricultural landscapes in the Northern Great Plains throughout the 2010–2011 growing seasons. We demonstrate that at all taxonomic levels, DNA sequencing was able to discern a greater number of taxa, and was particularly useful for the identification of infrequently detected species. Importantly, substantial phenological overlap did occur for commonly detected taxa using either technique, suggesting that DNA sequencing is an appropriate, and enhancing, substitutive technique for accurately capturing the breadth of bee-collected species of pollen present across agricultural landscapes. We also show that honey bees located in high and low intensity agricultural settings forage on dissimilar plants, though with overlap of the most abundantly collected pollen taxa.We highlight practical applications of utilizing sequencing technology, including addressing ecological issues surrounding land use, climate change, importance of taxa relative to abundance, and evaluating the impact of conservation program habitat enhancement efforts

    A Comparison of Honey Bee-Collected Pollen From Working Agricultural Lands Using Light Microscopy and ITS Metabarcoding

    Get PDF
    Taxonomic identification of pollen has historically been accomplished via light microscopy but requires specialized knowledge and reference collections, particularly when identification to lower taxonomic levels is necessary. Recently, next-generation sequencing technology has been used as a cost-effective alternative for identifying beecollected pollen; however, this novel approach has not been tested on a spatially or temporally robust number of pollen samples. Here, we compare pollen identification results derived from light microscopy and DNA sequencing techniques with samples collected from honey bee colonies embedded within a gradient of intensive agricultural landscapes in the Northern Great Plains throughout the 2010–2011 growing seasons. We demonstrate that at all taxonomic levels, DNA sequencing was able to discern a greater number of taxa, and was particularly useful for the identification of infrequently detected species. Importantly, substantial phenological overlap did occur for commonly detected taxa using either technique, suggesting that DNA sequencing is an appropriate, and enhancing, substitutive technique for accurately capturing the breadth of bee-collected species of pollen present across agricultural landscapes. We also show that honey bees located in high and low intensity agricultural settings forage on dissimilar plants, though with overlap of the most abundantly collected pollen taxa.We highlight practical applications of utilizing sequencing technology, including addressing ecological issues surrounding land use, climate change, importance of taxa relative to abundance, and evaluating the impact of conservation program habitat enhancement efforts

    Further characterization of Vibrio vulnificus rugose variants and identification of a capsular and rugose exopolysaccharide gene cluster

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    Capsular polysaccharide (CPS) is a major virulence factor in Vibrio vulnificus, and encapsulated strains have an opaque, smooth (OpS) colony morphology, while nonencapsulated strains have a translucent, smooth (TrS) colony morphology. Previously, we showed that OpS and TrS parental strains can yield a third colony type, rugose (R), and that the resulting strains, with the OpR and TrR phenotypes, respectively, form copious biofilms. Here we show that while OpR and TrR strains both produce three-dimensional biofilm structures that are indicative of rugose extracellular polysaccharide (rEPS) production, OpR strains also retain expression of CPS and are virulent in an iron-supplemented mouse model, while TrR strains lack CPS and are avirulent. Chlorine resistance assays further distinguished OpR and TrR isolates as exposure to 3 Όg/ml NaOCl eradicated both OpS and OpR strains, while both TrS and TrR strains survived, but at rates which were significantly different from one another. Taken together, these results further emphasize the importance of CPS for virulence of V. vulnificus and establish a correlation between CPS expression and chlorine sensitivity in this organism. Using reverse transcriptase PCR, we also identified a nine-gene cluster associated with both CPS and rEPS expression in V. vulnificus, designated the wcr (capsular and rugose polysaccharide) locus, with expression occurring primarily in R variants. The latter results set the stage for characterization of functional determinants which individually or collectively contribute to expression of multiple EPS forms in this pathogen. Copyright © 2008, American Society for Microbiology. All Rights Reserved

    How fast is fast enough? Academic behavioural science impacting public health policy and practice

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    Background: COVID-19 emphasised the crucial role behaviour change plays in protecting population health. However, the interchange between academic behavioural science and Public Health (PH) policy and practice could be strengthened. We aimed to establish a sustainable method of joint working between two groups in North Scotland to enable rapid impact of behavioural science on population health.Methods: An implementation-sciences based approach tested the initial 4 steps of an 8-step collaboration process model, designed to identify a health problem (step 1), develop and test messaging interventions (step 2-4), implement the intervention (steps 5-6), and evaluate impact (steps 7-8).Results: Since October 2022, fortnightly meetings were established, implementing the process model. This project will focus on the following outcomes: perceived collaboration usefulness, collaboration-process barriers, and facilitators.Conclusions: Unless a sustainable method of joint working can be established in times where there are no urgent PH priorities, it is unlikely that the fruits of behavioural science can be aligned with PH challenges when outbreaks are happening to rapidly impact population health.<br/
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