2,892 research outputs found

    The structure of the leaf and peristome of Holomitriopsis laevifolia (Broth.) H. Robins : illustrated with scanning electron microscopy

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    The vegetative and sporophytic features of Holomitriopsis that distinguish this genus from Schistomitrium and from Leucobryum are discussed and illustrated using scanning electron microscopy

    The use of risk-based discrete choice experiments to capture preferences over health states

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    Discrete choice experiments (DCEs) allow a number of characteristics to be traded-off against one another. An overriding methodological challenge faced is how best to apply DCEs to questions involving those attributes commonly used in value elicitation exercises such as risk, time (Bansback et al. 2012) and numbers treated (Robinson et al, 2010). Flynn (2010) concluded that in developing the methods, it was important to understand more fully the preferences of individual respondents. The study reported here sets out to provide such insights by enhancing a DCE design with additional questions that allow utility values to be derived at the individual level also. The DCE presented respondents with eight pairwise risky choices to estimate aggregate utility values for three EQ-5D health states, ranging from mild to severe. The design allowed the elicitation of utility values for worse-than-dead states. Risk was represented using the stimulus used by EuroVaQ (http://research.ncl.ac.uk/eurovaq/). Three main devices were used to collect additional individual level data. Firstly we included six additional DCE questions that were not used to estimate the aggregate DCE model but allowed the utility value of one health state to be estimated at the level of the individual. These six questions provided more extensive tests of the internal consistency of the pairwise choices undertaken in the DCE. Secondly, respondents were asked three questions where the risk in one of the two treatments was fixed, and they set the risk of the other treatment (a modified SG question). These questions then allowed us to estimate utility values for all three health states. Finally, we collected respondents risk attitudes using Kuilen and Wakker's 2011 measure. We collected data on a convenient sample of 59 students studying Economics or Geography at the University of London and Exeter in 2011/12. Preliminary results show that 22 of the 59 respondents gave a series of DCE responses that were internally inconsistent. We report here the implications of the results for the inclusion of risk as an attribute in DCEs and for preference elicitation more broadly

    Are Some Deaths Worse Than Others? The Effect of 'Labelling' on People's Perceptions

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    This paper sets out to explore the extent to which perceptions regarding the 'badness' of different types of deaths differ according to how those deaths are 'labelled' in the elicitation procedure. In particular, we are interested in whether responses to 'contextual' questions - where the specific context in which the deaths occur is known - differ from 'generic' questions - where the context is unknown. Further, we set out to test whether sensitivity to the numbers of deaths differs across the 'generic' and 'contextual' versions of the questions. We uncover evidence to suggest that both the perceived 'badness' of different types of deaths and sensitivity to the numbers of deaths may differ according to whether 'generic' or 'contextual' descriptions are used. Qualitative data suggested two reasons why responses to 'generic' and 'contextual' questions differed: firstly, some influential variables were omitted from the 'generic' descriptions and secondly, certain variables were interpreted somewhat differently once the context had been identified. The implications of our findings for 'generic' questions, such as those commonly used in health economics (for example, the EQ 5D), are discussed.Preferences, Context effects, Affect heuristic

    Prospects for Stochastic Background Searches Using Virgo and LSC Interferometers

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    We consider the question of cross-correlation measurements using Virgo and the LSC Interferometers (LIGO Livingston, LIGO Hanford, and GEO600) to search for a stochastic gravitational-wave background. We find that inclusion of Virgo into the network will substantially improve the sensitivity to correlations above 200 Hz if all detectors are operating at their design sensitivity. This is illustrated using a simulated isotropic stochastic background signal, generated with an astrophysically-motivated spectrum, injected into 24 hours of simulated noise for the LIGO and Virgo interferometers.Comment: 11 pages, uses IOP style files, submitted to CQG for GWDAW11 proceedings; revised in response to referee comment

    Production and characterization of anti-human interferon γ receptor antibody fragments that inhibit cytokine binding to the receptor

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    Three single-chain antibody fragments that recognize the extracellular human interferon γ receptor α-chain (IFNγR), and inhibit the binding of human IFNγ, have been produced in Escherichia coli. These fragments are derived from murine anti-receptor monoclonal antibodies, and comprise the variable heavy (VH) domain linked to the variable light (VL) chain through a 15 amino acid linker [(GGGGS)3]. Using surface plasmon resonance technology (BIAcore), the soluble proteins were shown to retain a high affinity for recombinant IFNγR, and by radioimmunoassay to possess high inhibitory activity towards IFNγ-binding to human Raji cells. The antibody fragments most likely recognize epitopes that overlap the cytokine binding site on the receptor surface. Attempts to dissect further the antibodies to isolated VH- and VL-chains and to synthetic linear and cyclic peptides derived from the individual complementarity determining regions failed to afford fragments with significant IFNγR binding affinity. Nevertheless, these native-like variable region fragments and petidomimetics derived from them are of interest in the design of novel IFNγR antagonist

    Exploring differences between TTO and direct choice in the valuation of health states

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    There is recent interest in using Discrete Choice Experiments (DCEs) to derive health state utility values and results can differ from Time Trade Off (TTO). Clearly DCE is 'choice-based' whereas TTO is generally considered to be a 'matching' task. We explore whether procedural adaptations to the TTO -which make the method more closely resemble a DCE -makes TTO and choice converge. In particular, we test whether making the matching procedure in TTO less 'transparent' to the respondent reduces disparities between TTO and choice. We designed an interactive survey that was hosted on the internet and 2022 interviews were achieved in the UK. We found a marked divergence between TTO and choice, but this was not related to the 'transparency' of the TTO procedure. We conclude that a combination of insensitivity in the TTO (however conducted) and factors other than differences in utility affecting choices is driving the divergence

    Measurement of low‐density lipoprotein cholesterol levels in primary and secondary prevention patients: Insights from the PALM registry

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    Background The 2013 American College of Cardiology/American Heart Association Guideline on the Treatment of Blood Cholesterol to Reduce Atherosclerotic Cardiovascular Risk in Adults recommended testing low-density lipoprotein cholesterol ( LDL -C) to identify untreated patients with LDL -C ≥190 mg/dL, assess lipid-lowering therapy adherence, and consider nonstatin therapy. We sought to determine whether clinician lipid testing practices were consistent with these guidelines. Methods and Results The PALM (Patient and Provider Assessment of Lipid Management) registry enrolled primary and secondary prevention patients from 140 US cardiology, endocrinology, and primary care offices in 2015 and captured demographic data, lipid treatment history, and the highest LDL -C level in the past 2 years. Core laboratory lipid levels were drawn at enrollment. Among 7627 patients, 2787 (36.5%) had no LDL -C levels measured in the 2 years before enrollment. Patients without chart-documented LDL -C levels were more often women, nonwhite, uninsured, and non-college graduates (all P\u3c0.01). Patients without prior lipid testing were less likely to receive statin treatment (72.6% versus 76.0%; P=0.0034), a high-intensity statin (21.5% versus 24.3%; P=0.016), nonstatin lipid-lowering therapy (24.8% versus 27.3%; P=0.037), and had higher core laboratory LDL -C levels at enrollment (median 97 versus 92 mg/dL; P\u3c0.0001) than patients with prior LDL -C testing. Of 166 individuals with core laboratory LDL -C levels ≥190 mg/dL, 36.1% had no LDL -C measurement in the prior 2 years, and 57.2% were not on a statin at the time of enrollment. Conclusions In routine clinical practice, LDL -C testing is associated with higher-intensity lipid-lowering treatment and lower achieved LDL -C level
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