994 resultados para Gas measurement
Resumo:
Universal standard goniometer is an essential tool to measure articulations' range of motion (ROM). In this time of technological advances and increasing use of smartphones, new measurement's tools appear as specific smartphone applications. This article compares the iOS application "Knee Goniometer" with universal standard goniometer to assess knee ROM. To our knowledge, this is the first study that uses a goniometer application in a clinical context. The purpose of this study is to determine if this application could be used in clinical practice.
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This paper explores biases in the elicitation of utilities under risk and the contribution that generalizations of expected utility can make to the resolution of these biases. We used five methods to measure utilities under risk and found clear violations of expected utility. Of the theories studies, prospect theory was most consistent with our data. The main improvement of prospect theory over expected utility was in comparisons between a riskless and a risky prospect(riskless-risk methods). We observed no improvement over expected utility in comparisons between two risky prospects (risk-risk methods). An explanation why we found no improvement of prospect theory over expected utility in risk-risk methods may be that there was less overweighting of small probabilities in our study than has commonly been observed.
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A new method of measuring joint angle using a combination of accelerometers and gyroscopes is presented. The method proposes a minimal sensor configuration with one sensor module mounted on each segment. The model is based on estimating the acceleration of the joint center of rotation by placing a pair of virtual sensors on the adjacent segments at the center of rotation. In the proposed technique, joint angles are found without the need for integration, so absolute angles can be obtained which are free from any source of drift. The model considers anatomical aspects and is personalized for each subject prior to each measurement. The method was validated by measuring knee flexion-extension angles of eight subjects, walking at three different speeds, and comparing the results with a reference motion measurement system. The results are very close to those of the reference system presenting very small errors (rms = 1.3, mean = 0.2, SD = 1.1 deg) and excellent correlation coefficients (0.997). The algorithm is able to provide joint angles in real-time, and ready for use in gait analysis. Technically, the system is portable, easily mountable, and can be used for long term monitoring without hindrance to natural activities.
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A method to evaluate cyclical models not requiring knowledge of the DGP and the exact specificationof the aggregate decision rules is proposed. We derive robust restrictions in a class of models; use someto identify structural shocks in the data and others to evaluate the class or contrast sub-models. Theapproach has good properties, even in small samples, and when the class of models is misspecified. Themethod is used to sort out the relevance of a certain friction (the presence of rule-of-thumb consumers)in a standard class of models.
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Organizations often face the challenge of communicating their strategiesto local decision makers. The difficulty presents itself in finding away to measure performance wich meaningfully conveys how to implement theorganization's strategy at local levels. I show that organizations solvethis communication problem by combining performance measures in such away that performance gains come closest to mimicking value-added asdefined by the organization's strategy. I further show how organizationsrebalance performance measures in response to changes in their strategies.Applications to the design of performance metrics, gaming, and divisionalperformance evaluation are considered. The paper also suggests severalempirical ways to evaluate the practical importance of the communicationrole of measurement systems.
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This paper presents a method for the measurement of changes in health inequality and income-related health inequality over time in a population.For pure health inequality (as measured by the Gini coefficient) andincome-related health inequality (as measured by the concentration index),we show how measures derived from longitudinal data can be related tocross section Gini and concentration indices that have been typicallyreported in the literature to date, along with measures of health mobilityinspired by the literature on income mobility. We also show how thesemeasures of mobility can be usefully decomposed into the contributions ofdifferent covariates. We apply these methods to investigate the degree ofincome-related mobility in the GHQ measure of psychological well-being inthe first nine waves of the British Household Panel Survey (BHPS). Thisreveals that dynamics increase the absolute value of the concentrationindex of GHQ on income by 10%.
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We represent interval ordered homothetic preferences with a quantitative homothetic utility function and a multiplicative bias. When preferences are weakly ordered (i.e. when indifference is transitive), such a bias equals 1. When indifference is intransitive, the biasing factor is a positive function smaller than 1 and measures a threshold of indifference. We show that the bias is constant if and only if preferences are semiordered, and we identify conditions ensuring a linear utility function. We illustrate our approach with indifference sets on a two dimensional commodity space.
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The Department’s 2007 Greenhouse Gas Inventory is a refinement of previous statewide inventories. It is a bottom-up inventory of two sectors – fossil fuel combustion at federally-recognized major sources of air pollution and fossil fuel combustion and ethanol fermentation at dry mill ethanol plants. This is the first bottomup greenhouse gas inventory conducted for Iowa and the first bottom-up greenhouse gas inventory of ethanol plants in the nation that the Department is aware of. In a bottom-up inventory, facility-specific activity data is used to calculate emissions. In a top-down inventory, aggregate activity data is used to calculate emissions. For example, this bottom-up inventory calculates greenhouse gas emissions from the fossil fuel combustion at each individual facility instead of using the total amount of fossil fuel combusted state-wide, which would be a top-down inventory method. The advantage to a bottom-up inventory is that the calculations are more accurate than a top-down inventory. However, because the two methods differ, the results from a bottom-up inventory are not directly comparable to a top-down inventory.
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Gas-filled microbubbles (MB) are a very promising alternative to the currently evaluated lipid- or polymer-based particulate Ag delivery systems. We recently demonstrated the ability of MB to deliver associated Ag to DC, to activate them and thereby induce both humoral and cellular immune responses. We now extended the characterization of MB as antigen-delivery system by appraising the efficiency of MB-associated ovalbumin (OVA-MB) at protecting mice against pathogen infection. Ultrasound-mediated imaging demonstrated that the administration of OVA via MB generates a depot at the injection site that lasts for several hours. We found that OVA-MB injected subcutaneously is far more effective at inducing specific Ab and T cell immunity than immunization with free OVA. Moreover, a covalent link between MB and OVA causes a stronger bias towards a Th1-type of immune response than adsorption of the Ag or its covalent link to liposomes of the same lipid composition. Finally, vaccination of mice with OVA-MB partially protects against a systemic infection with OVA-expressing Listeria monocytogenes. The vaccine induces specific effector CD8 T cell responses capable of decreasing more than 100 fold the bacterial load. MB thus represent a potent Ag delivery system for vaccination against intracellular infectious agents.
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L'activation des mastocytes se produit dans plusieurs conditions pathologiques et est principalement observée chez des patients développant une réaction anaphylactique. Dans la pratique clinique, la mesure de l'histamine et de ses métabolites dans le plasma et dans l'urine du patient peut être effectuée et montre parfois des résultats aussi précis que la mesure de la beta-tryptase dans le sang lorsqu'il est nécessaire de confirmer une activation mastocytaire. En revanche, la mesure de la beta tryptase dans l'urine dans un but diagnostic n'a que rarement été effectuée sur des personnes vivantes et a montré des résultats contradictoires. Dans le domaine de la médecine légale, la mesure de la beta-tryptase dans un but diagnostic est effectuée dans le sérum postmortem obtenu à partir de sang prélevé au niveau fémoral. Cependant, le sang peut être partiellement ou complètement indisponible dans certains cas spécifiques, dans les autopsies de nourrissons ou de corps sévèrement mutilés par exemple. Un des buts de notre étude est d'évaluer la pertinence de la mesure de la beta-tryptase dans des échantillons biologiques alternatifs, à savoir dans l'urine, l'humeur vitrée et le liquide péricardique. Pour cela nous avons sélectionné 94 cas d'autopsies comprenant 6 cas de réaction anaphylactique suite à l'administration de produits de contraste radiologique, 10 cas d'hypothermie, 10 cas d'acidocétose diabétique, 10 cas de suicide par arme à feu, 18 cas de décès consécutif à une injection d'héroïne, 10 cas de décès traumatiques, 10 cas de mort subite avec peu ou pas d'athérosclérose coronarienne, 10 cas de décès avec une athérosclérose coronarienne sévère mais sans signe d'infarctus du myocarde et 10 cas de décès consécutif à un infarctus du myocarde avec une athérosclérose coronarienne sévère. Dans tous les cas de réaction anaphylactique suite à l'administration de produit de contraste radiologique, les concentrations de beta-tryptase, mesurées dans le sérum postmortem et dans le liquide péricardique, ont montré des valeurs plus élevées que le seuil clinique de référence (11 ng/l) et le seuil postmortem de référence (45 ng/l). La concentration de beta-tryptase mesurée dans l'urine et l'humeur vitrée a montré des valeurs inférieures au seuil clinique dans tous les cas de notre étude. La mesure de la concentration de beta tryptase dans le liquide péricardique semble donc une alternative valable à la mesure dans le sérum postmortem, lorsque le sang fémoral n'est pas disponible durant l'autopsie, afin de poser un diagnostic de réaction anaphylactique.
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The paper defines concepts of real wealth and saving which take into account the intertemporal index number problem that results from changing interest rates. Unlike conventional measures of real wealth, which are based on the market value of assets and ignore the index number problem, the new measure correctly reflects the changes in the welfare of households over time. An empirically operational approximation to the theoretical measure is provided and applied to US data. A major empirical finding is that US real financial wealth increased strongly in the 1980s, much more than is revealed by the market value of assets.
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We show the equivalence between the use of correspondence analysis (CA)of concadenated tables and the application of a particular version ofconjoint analysis called categorical conjoint measurement (CCM). Theconnection is established using canonical correlation (CC). The second part introduces the interaction e¤ects in all three variants of theanalysis and shows how to pass between the results of each analysis.
Resumo:
Summary points: - The bias introduced by random measurement error will be different depending on whether the error is in an exposure variable (risk factor) or outcome variable (disease) - Random measurement error in an exposure variable will bias the estimates of regression slope coefficients towards the null - Random measurement error in an outcome variable will instead increase the standard error of the estimates and widen the corresponding confidence intervals, making results less likely to be statistically significant - Increasing sample size will help minimise the impact of measurement error in an outcome variable but will only make estimates more precisely wrong when the error is in an exposure variable