1,276 research outputs found

    Exploring joint attention in American sign language: the influence of sign familiarity

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    5R01DC015272-07 - NIH/National Institute on Deafness & Communication Disordershttps://escholarship.org/uc/item/5kq2s523Published versio

    Breaching Indigenous Law: Canadian Mining in Guatemala

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    This is a case study of a small Indigenous community in Guatemala that defied a powerful Canadian mining company by holding a community vote on whether to allow mining on its territory. The result of the vote – to stop mining activity on its territory – has not been honoured by the Canadian mining company. The dispute is being played out against a backdrop of intimidation and violence. The study reviews the major players in the dispute – the mining company, the Guatemalan government, the World Bank and the Canadian government – and concludes that they all have a stake in the profitability of the mine. There is a clear deficiency in the checks and balances needed to ensure that the Indigenous people are dealt with fairly. Drawing on ideas from the National Roundtables on Corporate Social Responsibility (“CSR”) and the Canadian Extractive Industry in Developing Countries (released in March 2007), the study suggests that at the present time, Canadian courts may be the only forum capable of holding the major actors accountable for their actions

    Ansätze zur lokalen Bayes’schen Fusion von Informationsbeiträgen heterogener Quellen

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    Die Lösung diverser Aufgaben profitiert von der Informationsfusion oder setzt sie sogar voraus. Die Bayes’sche Fusionsmethodik ist anschaulich, fundiert und erfüllt die essentiellen Anforderungen an eine sinnvolle Methodik auch zur Fusion der Beiträge heterogener Informationsquellen. In vielen praktisch relevanten Aufgaben verursachen Bayes’sche Verfahren hohen, oft nicht tragbaren Aufwand. In der Arbeit werden neuartige Ansätze zur Bewältigung Bayes’scher Fusion formuliert und untersucht

    A cost comparison of electronic and hybrid data collection systems in Ontario during pandemic and seasonal influenza vaccination campaigns

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    <p>Abstract</p> <p>Background</p> <p>During the pandemic (H1N1) 2009 influenza vaccination campaign, health regions in Canada collected client-level immunization data using fully electronic or hybrid systems, with the latter comprising both electronic and paper-based elements. The objective of our evaluation was to compare projected five-year costs associated with implementing these systems in Ontario public health units (PHUs) during pandemic and seasonal influenza vaccination campaigns.</p> <p>Methods</p> <p>Six PHUs provided equipment and staffing costs during the pandemic (H1N1) 2009 influenza vaccination campaign and staffing algorithms for seasonal campaigns. We standardized resources to population sizes 100,000, 500,000 and 1,000,000, assuming equipment lifetime of five years and public health vaccine administration rates of 18% and 2.5% for H1N1 and seasonal campaigns, respectively. Two scenarios were considered: Year 1 pandemic and Year 1 seasonal campaigns, each followed by four regular influenza seasons. Costs were discounted at 5%.</p> <p>Results</p> <p>Assuming a Year 1 pandemic, the five-year costs per capita for the electronic system decrease as PHU population size increases, becoming increasingly less costly than hybrid systems (4.33vs.4.33 vs. 4.34 [100,000], 4.17vs.4.17 vs. 4.34 [500,000], 4.12vs.4.12 vs. 4.34 [1,000, 000]). The same trend is observed for the scenario reflecting five seasonal campaigns, with the electronic system being less expensive per capita than the hybrid system for all population sizes (1.93vs.1.93 vs. 1.95 [100,000], 1.91vs.1.91 vs. 1.94 [500,000], 1.87vs.1.87 vs. 1.94 [1,000, 000]). Sensitivity analyses identified factors related to nurse hours as affecting the direction and magnitude of the results.</p> <p>Conclusions</p> <p>Five-year cost projections for electronic systems were comparable or less expensive than for hybrid systems, at all PHU population sizes. An intangible benefit of the electronic system is having data rapidly available for reporting.</p

    Developing a Prototype Ground Station for the Processing, Exploitation, and Dissemination of pLEO Sensor Data

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    The Air Force’s Space and Missile Systems Center (SMC) recently executed a quick-turnaround (16 month) effort through the Defense Innovation Unit to develop a prototype ground architecture demonstrating low-latency processing, exploitation, and dissemination of data collected by notional multi-phenomenology sensors hosted on small satellites in a proliferated LEO constellation. This effort, led by the Southwest Research Institute and supported by teammates, Amazon Web Services, SpaceX, and SciTec, Inc., involved the modeling and simulation of a variety of different OPIR, EO/IR, and SAR data streams; transporting these data via space and ground networks; processing the data in the AWS cloud environment; and then disseminating resulting products to tactical users. In this paper, we present an overview of the data transport and mission data processing, performance results from the application of our various Mission Data Processing Chains, a summary of our findings on the latencies associated with both data transport and data processing, and lessons learned including insight into ground-based vs. on-board processing

    Disulfiram use is associated with lower risk of COVID-19: A retrospective cohort study.

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    Funder: British Heart FoundationFunder: VA Boston Healthcare SystemFunder: Dana-Farber Cancer InstituteFunder: VA Cooperative Studies ProgramFunder: National Institutes of HealthFunder: Harvard Medical SchoolEffective, low-cost therapeutics are needed to prevent and treat COVID-19. Severe COVID-19 disease is linked to excessive inflammation. Disulfiram is an approved oral drug used to treat alcohol use disorder that is a potent anti-inflammatory agent and an inhibitor of the viral proteases. We investigated the potential effects of disulfiram on SARS-CoV-2 infection and disease severity in an observational study using a large database of clinical records from the national US Veterans Affairs healthcare system. A multivariable Cox regression adjusted for demographic information and diagnosis of alcohol use disorder revealed a reduced risk of SARS-CoV-2 infection with disulfiram use at a hazard ratio of 0.66 (34% lower risk, 95% confidence interval 24-43%). There were no COVID-19 related deaths among the 188 SARS-CoV-2 positive patients treated with disulfiram, in contrast to 5-6 statistically expected deaths based on the untreated population (P = 0.03). Our epidemiological results suggest that disulfiram may contribute to the reduced incidence and severity of COVID-19. These results support carefully planned clinical trials to assess the potential therapeutic effects of disulfiram in COVID-19
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