53 resultados para Exactly solvable model of an asset market


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This paper reports the detailed description and validation of a fully automated, computer controlled analytical method to spatially probe the gas composition and thermal characteristics in packed bed systems. This method has been designed to limit the invasiveness of the probe, a characteristic assessed using CFD. The thermocouple is aligned with the sampling holes to enable simultaneous recording of the gas composition and temperature profiles. This analysis technique has been validated by studying CO oxidation over a 1% Pt/Al2O3 catalyst. The resultant profiles have been compared with a micro-kinetic model, to further assess the strength of the technique. 

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Across one longitudinal and two cross-sectional surveys in Northern Ireland, we tested a model of intergroup relations in which out-group attitudes and behavioral tendencies are predicted by cross-group friendship and positive intergroup appraisals, mediated by intergroup emotions and out-group trust. In study 1, out-group friendship at time 1 predicted out-group trust at time 2 (one year later), controlling for prior out-group trust. In study 2, positive and negative intergroup emotions mediated the effects of friendship on positive and negative behavioral tendencies and attitudes. In study 3, a confirmatory factor analysis indicated that trust and emotions are distinct constructs with unique predictive contributions. We then tested a model in which cross-group friendship predicted intergroup emotions and trust through intimate self-disclosure in out-group friendships. Our findings support an integration of an intergroup emotions framework with research highlighting the importance of cross-group friendship in fostering positive intergroup outcomes.

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Motivated by the description of the C*-algebra of the affine automorphism group N6,28 of the Siegel upper half-plane of degree 2 as an algebra of operator fields defined over the unitary dual View the MathML source of the group, we introduce a family of C*-algebras, which we call almost C0(K), and we show that the C*-algebra of the group N6,28 belongs to this class.

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Abstract. Single-zone modelling is used to assess different collections of impeller 1D loss models. Three collections of loss models have been identified in literature, and the background to each of these collections is discussed. Each collection is evaluated using three modern automotive turbocharger style centrifugal compressors; comparisons of performance for each of the collections are made. An empirical data set taken from standard hot gas stand tests for each turbocharger is used as a baseline for comparison. Compressor range is predicted in this study; impeller diffusion ratio is shown to be a useful method of predicting compressor surge in 1D, and choke is predicted using basic compressible flow theory. The compressor designer can use this as a guide to identify the most compatible collection of losses for turbocharger compressor design applications. The analysis indicates the most appropriate collection for the design of automotive turbocharger centrifugal compressors.

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Background: The oro-facial region is densely innervated by the trigeminal nerve, which when stimulated can induce noxious pain sensation and contribute to neurogenic inflammation in local tissues. Recent research on the expression of specialised ion channels on the trigeminal nerve has highlighted the need to undertake more extensive studies on ion channel expression/functionality with the aim of elucidating their role in pain sensations. A major family of such ion channels is the transient receptor potential (TRP) channels which are activated by a wide variety of thermal, mechanical or chemical stimuli and merit investigation as possible druggable targets for future analgesics.
Objective: Study of TRP channel expression and regulation in oro-facial tissues is hindered by the fact that the cell bodies of neurons innervating these tissues are located in the trigeminal ganglion. Using dental pulp stem cells differentiated towards peripheral neuronal equivalents (PNEs), we sought to determine TRP channel expression, functionality and potential modulation by cytokines in this novel model.
Method: Dental pulp stem cells (DPSCs) were grown on substrate-coated tissue culture plates and differentiated towards a neuronal phenotype using neuronal induction media. Quantitative polymerase chain reaction (qPCR) was performed on PNEs +/-cytokine treatment. Ion channel functionality was investigated using whole cell patch clamping.
Result: qPCR analysis showed that PNEs expressed the TRP channels TRPA1, TRPV1, TRPV4 and TRPM8. TRPA1 was the most abundantly expressed TRP channel studied whereas TRPM8 was lowly expressed. TRP channel expression was shown to be regulated by treatment with inflammatory cytokines. Patch clamp studies using specific agonists and antagonists for TRPA1 and TRPV1 showed these channels were functional.
Conclusion: PNEs differentiated from DPSCs provide a suitable model for TRP channel expression, regulation, and sensistisation in oro-facial tissues. This human neuronal model has potential for use in pre-clinical studies of novel analgesics.

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This paper presents the results of a real bridge field experiment, carried out on a fiber reinforced polymer (FRP) pedestrian truss bridge of which nodes are reinforced with stainless steel plates. The aim of this paper is to identify the dynamic parameters of this bridge by using both conventional techniques and a model updating algorithm. In the field experiment, the bridge was instrumented with accelerometers at a number of locations on the bridge deck, recording both vertical and transverse vibrations. It was excited via jump tests at particular locations along its span and the resulting acceleration signals are used to identify dynamic parameters, such as the bridge mode shape, natural frequency and damping constant. Pedestrianinduced vibrations are also measured and utilized to identify dynamic parameters of the bridge. For a complete analysis of the bridge, a numerical model of the FRP bridge is created whose properties are calibrated utilizing a model updating algorithm. Comparable frequencies and mode shapes to those from the experiment were obtained by the FE models considering the reinforcement by increasing elastic modulus at every node of the bridge by stainless steel plate. Moreover, considering boundary conditions at both ends as fixed in the model resulted in modal properties comparable/similar to those from the experiment. This study also demonstrated that the effect of reinforcement and boundary conditions must be properly considered in an FE model to analyze real behavior of the FRP bridge.