218 research outputs found

    Detection of Salmonella Enteritidis in Pooled Poultry Environmental Samples Using a Serotype-Specific Real-Time–Polymerase Chain Reaction Assay

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    While real-time–polymerase chain reaction (RT PCR) has been used as a rapid test for detection of Salmonella Enteritidis in recent years, little research has been done to assess the feasibility of pooling poultry environmental samples with aSalmonella Enteritidis–specific RT PCR assay. Therefore the objective of this study was to compare RT PCR SalmonellaEnteritidis detection in individual and pooled (in groups of two, three, and four) poultry environmental drag swab samples to traditional cultural methods. The drag swabs were collected from poultry facilities previously confirmed positive forSalmonella Enteritidis and were cultured according to National Poultry Improvement Plan guidelines. Initial, SalmonellaEnteritidis–specific RT PCR assay threshold cycle cutoff values of ≤36, ≤30, and ≤28 were evaluated in comparison to culture. The average limit of detection of the RT PCR assay was 2.4 × 103 colony-forming units (CFUs)/ml, which corresponded to an average threshold cycle value of 36.6. Before enrichment, samples inoculated with concentrations from 102 to 105 CFUs/ml were detected by RT PCR, while after enrichment, samples inoculated from 100 to 105 CFUs/ml were detected by RT PCR. Threshold cycle cutoff values were used in the subsequent field trial from which Salmonella Enteritidis was cultured in 7 of 208 environmental samples (3.4%). Individual samples were 99.0%, 100%, and 100% in agreement with the RT PCR at threshold cycle (Ct) cutoff values of ≤36, ≤30, and ≤28 respectively. The agreement for pooled samples also followed the same trend with highest agreement at Ct ≤ 28 (pool of 2  =  100.0%, pool of 3  =  100.0%, pool of 4  =  100.0%), midrange agreement at Ct ≤ 30 (pool of 2  =  99.0%, pool of 3  =  100.0%, pool of 4  =  100.0%), and lowest agreement at Ct ≤ 36 (pool of 2  =  98.1%, pool of 3  =  97.1%, pool of 4  =  98.1%). In conclusion, regardless of the level of pooling after tetrathionate enrichment, sensitivity was very good, and results would be comparable to what would have been found with individual culture or individual RT PCR at Ct ≤ 36

    Application of RNS in refractory epilepsy: Targeting insula.

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    Although responsive neurostimulation (RNS) is approved for treatment of resistant focal epilepsy in adults, little is known about response to treatment of specific cortical targets. We describe the experience of RNS targeting the insular lobe. We identified patients who had RNS implantation with at least one electrode within the insula between April 2014 and October 2015. We performed a retrospective review of preoperative clinical features, imaging, electrocardiogram (EEG), intraoperative electrocorticography (ECoG), and postoperative seizure outcome. Eight patients with at least 6 months of postimplant follow-up were identified. Ictal localization was inconclusive with MRI or scalp EEG findings. Intracranial EEG monitoring or intraoperative ECoG demonstrated clear ictal onsets and/or frequent interictal discharges in the insula. Four patients demonstrated overall 50-75% reduction in seizure frequency. Two patients did not show appreciable seizure improvement. One patient has experienced a 75% reduction of seizure frequency, and another is nearly seizure free postoperatively. There were no reported direct complications of insular RNS electrode placement or stimulation, though two patients had postoperative complications thought to be related to craniotomy (hydrocephalus and late infection). Our study suggests that insular RNS electrode placement in selected patients is relatively safe and that RNS treatment may benefit selected patients with insular epilepsy

    The impact of regional jets on air service at selected US airports and markets

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    Regional jets, normally defined as jet aircraft introduced since 1993 with less than 100 seats, have been thought to have significant impacts on air services at airports, for example, in improving service frequency, allowing airlines to exploit niche markets and to feed hubs. Previous studies have focused on regional jet deployment strategy and the overall situation and they suggest that deployment was generally to larger cities first and, in addition, to locations east of the Mississippi. It has also been suggested that smaller airports might lose service when regional jets replace turbo-props and that carrier competition would increase, to the benefit of the consumer. This paper aims to throw more light on these issues from the individual airports’ point of view. Data on changes in schedules from the Official Airline Guide (OAG) at a series of case study airports from 1994 to 2002 is used to examine, the impacts on new route development, market dynamics, carrier competition and concentration and deployment status. In particular, the impact on smaller airports is examined. It is concluded, subject to the usual caveats on sample size, that there is little evidence of a uniform impact on routes or airports. The aggregate picture often described by the industry and government is shown to be a combination of highly dissimilar cases. A spectrum of effects is identified across different types of airports and routes but some of the anticipated trends, such as hub bypassing, are not observed. Some airports reaped significant benefits in terms of improved frequency and services to new destinations, whilst others gained little

    Synthesis Of Dysprosium Oxychloride (DyOCl)

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    Dysprosium oxychloride, DyOCl, was synthesized using a simple hydrolysis method with DyCl3·6H2O. X-ray powder diffraction (XRD) data was used to determine the crystal structure. The DyOCl compound is isostructural to the matlockite (PbFCl) crystal structure and crystallizes in the tetragonal P4/nmm (#129) space group. The crystal structure contains the alternating cationic layers of (DyO)n and anionic layers of nCl− along the c-axis. The structural data including unit cell, volume, and density of DyOCl were compared to other rare-earth oxychloride data from the Inorganic Crystal Structure Database (ICSD) and our previous study on TbOCl. Fourier-transform infrared spectroscopy was performed on DyOCl and peaks observed at 543 and 744 cm−1 were attributed to Dy–O and Dy–Cl. Scanning electron microscopy analysis showed irregularly shaped crystals. Hot-stage XRD, thermogravimetry, as well as differential scanning calorimetry coupled to a gas chromatograph and a mass spectrometer (evolved gas analysis) were performed on DyCl3·6H2O to understand the phase transformation to DyOCl (and Dy2O3) as a function of temperature and time at temperature. Graphic Abstract: DyOCl compound with the tetragonal P4/nmm space group is composed of the alternating layers of (DyO)n and nCl− along the c-axis

    A model for assessing water quality risk in catchments prone to wildfire

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    Post-fire debris flows can have erosion rates up to three orders of magnitude higher than background rates. They are major sources of fine suspended sediment, which is critical to the safety of water supply from forested catchments. Fire can cover parts or all of these large catchments and burn severity is often heterogeneous. The probability of spatial and temporal overlap of fire disturbance and rainfall events, and the susceptibility of hillslopes to severe erosion determine the risk to water quality. Here we present a model to calculate recurrence intervals of high magnitude sediment delivery from runoff-generated debris flows to a reservoir in a large catchment (>100 km2) accounting for heterogeneous burn conditions. Debris flow initiation was modelled with indicators of surface runoff and soil surface erodibility. Debris flow volume was calculated with an empirical model, and fine sediment delivery was calculated using simple, expert-based assumptions. In a Monte-Carlo simulation, wildfire was modelled with a fire spread model using historic data on weather and ignition probabilities for a forested catchment in central Victoria, Australia. Multiple high intensity storms covering the study catchment were simulated using Intensity–Frequency–Duration relationships, and the runoff indicator calculated with a runoff model for hillslopes. A sensitivity analysis showed that fine sediment is most sensitive to variables related to the texture of the source material, debris flow volume estimation, and the proportion of fine sediment transported to the reservoir. As a measure of indirect validation, denudation rates of 4.6–28.5 mm ka−1 were estimated and compared well to other studies in the region. From the results it was extrapolated that in the absence of fire management intervention the critical sediment concentrations in the studied reservoir could be exceeded in intervals of 18–124 years

    The development of a more risk-sensitive and flexible airport safety area strategy: Part I. The development of an improved accident frequency model

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    This two-part paper presents the development of an improved airport risk assessment methodology aimed at assessing risks related to aircraft accidents at and in the vicinity of airports and managing Airport Safety Areas (ASAs) as a risk mitigation measure. The improved methodology is more quantitative, risk-sensitive, flexible and transparent than standard risk assessment approaches. As such, it contributes to the implementation of Safety Management Systems at airports, as stipulated by the International Civil Aviation Organisation. The first part of the paper presents the methodological advances made in the development of accident frequency models; namely the building of a single comprehensive database of all relevant accident types, the collection and use of normal operations data in quantifying the criticality of a series of risk factors, and modelling accident frequency using multivariate logistic regression. The resulting models have better goodness-of-fit, sensitivity and specificity than standard risk assessment methodologies

    The development of a more risk-sensitive and flexible airport safety area strategy: Part II. Accident location analysis and airport risk assessment case studies

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    This two-part paper presents the development of an improved airport risk assessment methodology aimed at assessing risks related to aircraft accidents at and in the vicinity of airports and managing Airport Safety Areas (ASAs) as a risk mitigation measure. The improved methodology is more quantitative, risk-sensitive, flexible and transparent than standard risk assessment approaches. As such, it contributes to the implementation of Safety Management Systems at airports, as stipulated by the International Civil Aviation Organisation. The second part of the paper presents the analysis of accident locations, including the plotting of Complementary Cumulative Probability Distributions for the relevant accident types. These were then used in conjunction with the improved accident frequency models to produce Complementary Cumulative Frequency Distributions that could be used to assess risks related to specific runways and determine Airport Safety Area (ASA) dimensions necessary to meet a quantitative target level of safety. The approach not only takes into account risk factors previously ignored by standard risk assessments but also considers the operational and traffic characteristics of the runway concerned. The use of the improved risk assessment technique and risk management strategy using ASAs was also demonstrated in two case studies based on New York LaGuardia Airport and Boca Raton Airport in Florida

    Quantifying and characterising aviation accident risk factors

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    This paper compares normal flights’ exposure to a number of meteorological factors with the equivalent for certain accident flights. The factors examined include visibility, ceiling height, temperature, crosswind, tailwind and instrument or visual meteorological conditions. Differences in exposure and to measure accident propensity related to different levels of risk exposure are quantified based on relative accident involvement ratios. Four categories of aircraft accidents relevant to the assessment of airport safety are examined

    Characterization of Error-Tolerant Applications when Protecting Control Data

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    Soft errors have become a significant concern and recent studies have measured the architectural vulnerability factor of systems to such errors, or conversely, the potential that a soft error is masked by latches or other system behavior. We take soft-error tolerance one step further and examine when an application can tolerate errors that are not masked. For example, a video decoder or approximation algorithm can tolerate errors if the user is willing to accept degraded output. The key observation is that while the decoder can tolerate error in its data, it can not tolerate error in its control. We first present static analysis that protects most control operations. We examine several SPEC CPU2000 and MiBench benchmarks for error tolerance, develop fidelity measures for each, and quantify the effect of errors on fidelity. We show that protecting control is crucial to producing error-tolerance, for without this protection, many applications experience catastrophic errors (infinite execution time or crashing). Overall, our results indicate that with simple control protection, the error tolerance of many applications can provide designers with considerable added flexibility when considering future challenges posed by soft errors
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