1,193 research outputs found

    An analysis of marbled murrelet science in four habitat conservation plans

    Get PDF

    Do Psychology Students know the Job Skills they are Gaining?

    Get PDF
    Psychology graduates experience high levels of underemployment (50%), despite obtaining a range of competencies during their undergraduate studies that are highly applicable to their professional development and future endeavors in the workforce (Federal Reserve Bank of New York, 2021; Landrum et al., 2017). Throughout psychology courses, undergraduate students gain a number of knowledge, skills, abilities, and other characteristics (KSAOs) that are sought after by employers. This study seeks to determine whether these underemployment rates are, in part, due to a lack of guidance from universities on how their curriculum and KSAOs taught connect to the workforce (Halonen & Dunn, 2018). To determine which KSAOs to examine, the full list of 167 KSAOs were initially pulled from O*NET, an online database that contains hundreds of occupational definitions. This full list of KSAOs were consolidated by subject matter experts (SMEs) to those most relevant to psychology undergraduates. This process resulted in a list of 41 appropriate KSAOs that were then evaluated against course descriptions and syllabi of core psychology classes in order to determine the level of each of the 41 KSAOs students gained by completing each course. A group of SMEs then rated the level of proficiency a student would obtain by completing an undergraduate psychology course. This was done for all 41 identified KSAOs and for all courses in the psychology curriculum and these ratings represent the KSAOs that students gain from completing undergraduate psychology courses. For the proposed research, the team will ask upper level undergraduate students to complete the same ratings as the SMEs. These ratings will determine students\u27 perceptions of the level of KSAOs they gain by completing undergraduate psychology courses. Once students have completed their ratings, the data will be analyzed and compared to the SME data, which will provide an understanding of perceived versus actual proficiency of specific KSAOs that students gain in an undergraduate psychology program. Following this comparative analysis, the ultimate goal is to create a public crosswalk resource that students will be able to access and determine relevant KSAOs for their future careers based on completed courses

    Association between incarceration and incident cardiovascular disease events: results from the CARDIA cohort study

    Get PDF
    BACKGROUND: Incarceration has been associated with higher cardiovascular risk, yet data evaluating its association with cardiovascular disease events are limited. The study objective was to evaluate the association between incarceration and incident fatal and non-fatal cardiovascular disease (CVD) events. METHODS: Black and white adults from the community-based Coronary Artery Risk Development in Young Adult (CARDIA) study (baseline 1985-86, n = 5105) were followed through August 2017. Self-reported incarceration was measured at baseline (1985-1986) and Year 2 (1987-1988), and fatal and non-fatal cardiovascular disease events, including coronary heart disease, stroke, and heart failure, and all-cause mortality, were captured through 2017. Analyses were completed in September 2019. Cumulative CVD incidence rates and Cox proportional hazards were compared overall by incarceration status. An interaction between incarceration and race was identified, so results were also analyzed by sex-race groups. RESULTS: 351 (6.9%) CARDIA participants reported a history of incarceration. Over 29.0 years mean follow-up, CVD incidence rate was 3.52 per 1000 person-years in participants with a history of incarceration versus 2.12 per 1000 person-years in participants without a history of incarceration (adjusted HR = 1.33 [95% CI, 0.90-1.95]). Among white men, incarceration was associated with higher risk of incident cardiovascular disease (adjusted HR = 3.35 [95% CI, 1.54-7.29) and all-cause mortality (adjusted HR = 2.52 [95% CI, 1.32-4.83]), but these associations were not statistically significant among other sex-race groups after adjustment. CONCLUSIONS: Incarceration was associated with incident cardiovascular disease rates, but associations were only significant in one sex-race group after multivariable adjustment

    A novel myelin P0–specific T cell receptor transgenic mouse develops a fulminant autoimmune peripheral neuropathy

    Get PDF
    Autoimmune-prone nonobese diabetic mice deficient for B7-2 spontaneously develop an autoimmune peripheral neuropathy mediated by inflammatory CD4+ T cells that is reminiscent of Guillain-Barré syndrome and chronic inflammatory demyelinating polyneuropathy. To determine the etiology of this disease, CD4+ T cell hybridomas were generated from inflamed tissue–derived CD4+ T cells. A majority of T cell hybridomas were specific for myelin protein 0 (P0), which was the principal target of autoantibody responses targeting nerve proteins. To determine whether P0-specific T cell responses were sufficient to mediate disease, we generated a novel myelin P0–specific T cell receptor transgenic (POT) mouse. POT T cells were not tolerized or deleted during thymic development and proliferated in response to P0 in vitro. Importantly, when bred onto a recombination activating gene knockout background, POT mice developed a fulminant form of peripheral neuropathy that affected all mice by weaning age and led to their premature death by 3–5 wk of age. This abrupt disease was associated with the production of interferon γ by P0-specific T cells and a lack of CD4+ Foxp3+ regulatory T cells. Collectively, our data suggest that myelin P0 is a major autoantigen in autoimmune peripheral neuropathy

    Natural experiments and long-term monitoring are critical to understand and predict marine host-microbe ecology and evolution

    Get PDF
    © The Author(s), 2021. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Leray, M., Wilkins, L. G. E., Apprill, A., Bik, H. M., Clever, F., Connolly, S. R., De Leon, M. E., Duffy, J. E., Ezzat, L., Gignoux-Wolfsohn, S., Herre, E. A., Kaye, J. Z., Kline, D. I., Kueneman, J. G., McCormick, M. K., McMillan, W. O., O’Dea, A., Pereira, T. J., Petersen, J. M., Petticord, D. F., Torchin, M. E., Thurber, R. V., Videvall, E., Wcislo, W. T., Yuen, B., Eisen, J. A. . Natural experiments and long-term monitoring are critical to understand and predict marine host-microbe ecology and evolution. Plos Biology, 19(8), (2021): e3001322, https://doi.org/10.1371/journal.pbio.3001322.Marine multicellular organisms host a diverse collection of bacteria, archaea, microbial eukaryotes, and viruses that form their microbiome. Such host-associated microbes can significantly influence the host’s physiological capacities; however, the identity and functional role(s) of key members of the microbiome (“core microbiome”) in most marine hosts coexisting in natural settings remain obscure. Also unclear is how dynamic interactions between hosts and the immense standing pool of microbial genetic variation will affect marine ecosystems’ capacity to adjust to environmental changes. Here, we argue that significantly advancing our understanding of how host-associated microbes shape marine hosts’ plastic and adaptive responses to environmental change requires (i) recognizing that individual host–microbe systems do not exist in an ecological or evolutionary vacuum and (ii) expanding the field toward long-term, multidisciplinary research on entire communities of hosts and microbes. Natural experiments, such as time-calibrated geological events associated with well-characterized environmental gradients, provide unique ecological and evolutionary contexts to address this challenge. We focus here particularly on mutualistic interactions between hosts and microbes, but note that many of the same lessons and approaches would apply to other types of interactions.Financial support for the workshop was provided by grant GBMF5603 (https://doi.org/10.37807/GBMF5603) from the Gordon and Betty Moore Foundation (W.T. Wcislo, J.A. Eisen, co-PIs), and additional funding from the Smithsonian Tropical Research Institute and the Office of the Provost of the Smithsonian Institution (W.T. Wcislo, J.P. Meganigal, and R.C. Fleischer, co-PIs). JP was supported by a WWTF VRG Grant and the ERC Starting Grant 'EvoLucin'. LGEW has received funding from the European Union’s Framework Programme for Research and Innovation Horizon 2020 (2014-2020) under the Marie Sklodowska-Curie Grant Agreement No. 101025649. AO was supported by the Sistema Nacional de Investigadores (SENACYT, Panamá). A. Apprill was supported by NSF award OCE-1938147. D.I. Kline, M. Leray, S.R. Connolly, and M.E. Torchin were supported by a Rohr Family Foundation grant for the Rohr Reef Resilience Project, for which this is contribution #2. This is contribution #85 from the Smithsonian’s MarineGEO and Tennenbaum Marine Observatories Network.

    Testing gravitational-wave searches with numerical relativity waveforms: Results from the first Numerical INJection Analysis (NINJA) project

    Get PDF
    The Numerical INJection Analysis (NINJA) project is a collaborative effort between members of the numerical relativity and gravitational-wave data analysis communities. The purpose of NINJA is to study the sensitivity of existing gravitational-wave search algorithms using numerically generated waveforms and to foster closer collaboration between the numerical relativity and data analysis communities. We describe the results of the first NINJA analysis which focused on gravitational waveforms from binary black hole coalescence. Ten numerical relativity groups contributed numerical data which were used to generate a set of gravitational-wave signals. These signals were injected into a simulated data set, designed to mimic the response of the Initial LIGO and Virgo gravitational-wave detectors. Nine groups analysed this data using search and parameter-estimation pipelines. Matched filter algorithms, un-modelled-burst searches and Bayesian parameter-estimation and model-selection algorithms were applied to the data. We report the efficiency of these search methods in detecting the numerical waveforms and measuring their parameters. We describe preliminary comparisons between the different search methods and suggest improvements for future NINJA analyses.Comment: 56 pages, 25 figures; various clarifications; accepted to CQ

    Effects of antiplatelet therapy on stroke risk by brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases: subgroup analyses of the RESTART randomised, open-label trial

    Get PDF
    Background Findings from the RESTART trial suggest that starting antiplatelet therapy might reduce the risk of recurrent symptomatic intracerebral haemorrhage compared with avoiding antiplatelet therapy. Brain imaging features of intracerebral haemorrhage and cerebral small vessel diseases (such as cerebral microbleeds) are associated with greater risks of recurrent intracerebral haemorrhage. We did subgroup analyses of the RESTART trial to explore whether these brain imaging features modify the effects of antiplatelet therapy
    corecore