928 resultados para Price dynamics model with memory


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This article analyses the dynamics of electoral competition in a multilevel setting. It is based on a content analysis of the party manifestos of the Spanish PP and PSOE in eight regional elections held between 2001 and 2003. It provides an innovative coding scheme for analysing regional party manifestos and on that basis seeks to account for inter-regional, intra-party and inter-party differences in regional campaigning. The authors have tried to explain the inter-regional variation of the issue profiles of state-wide parties in regional elections on the basis of a model with four independent variables: the asymmetric nature of the system, the electoral cycle, the regional party systems and the organisation of the state-wide parties. Three of their hypotheses are rejected, but the stronger variations in the regional issue profiles of the PSOE corroborate the assumption that parties with a more decentralised party organisation support regionally more diverse campaigning. The article concludes by offering an alternative explanation for this finding and by suggesting avenues for further research.

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Automatic gender classification has many security and commercial applications. Various modalities have been investigated for gender classification with face-based classification being the most popular. In some real-world scenarios the face may be partially occluded. In these circumstances a classification based on individual parts of the face known as local features must be adopted. We investigate gender classification using lip movements. We show for the first time that important gender specific information can be obtained from the way in which a person moves their lips during speech. Furthermore our study indicates that the lip dynamics during speech provide greater gender discriminative information than simply lip appearance. We also show that the lip dynamics and appearance contain complementary gender information such that a model which captures both traits gives the highest overall classification result. We use Discrete Cosine Transform based features and Gaussian Mixture Modelling to model lip appearance and dynamics and employ the XM2VTS database for our experiments. Our experiments show that a model which captures lip dynamics along with appearance can improve gender classification rates by between 16-21% compared to models of only lip appearance.

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We report on Suzaku observations of selected regions within the southern giant lobe of the radio galaxy Centaurus A. In our analysis we focus on distinct X-ray features detected with the X-ray Imaging Spectrometer within the range 0.5-10 keV, some of which are likely associated with fine structure of the lobe revealed by recent high-quality radio intensity and polarization maps. With the available photon statistics, we find that the spectral properties of the detected X-ray features are equally consistent with thermal emission from hot gas with temperatures kT > 1 keV, or with a power-law radiation continuum characterized by photon indices Gamma similar to 2.0 +/- 0.5. However, the plasma parameters implied by these different models favor a synchrotron origin for the analyzed X-ray spots, indicating that a very efficient acceleration of electrons up to greater than or similar to 10 TeV energies is taking place within the giant structure of Centaurus A, albeit only in isolated and compact regions associated with extended and highly polarized radio filaments. We also present a detailed analysis of the diffuse X-ray emission filling the whole field of view of the instrument, resulting in a tentative detection of a soft excess component best fitted by a thermal model with a temperature of kT similar to 0.5 keV. The exact origin of the observed excess remains uncertain, although energetic considerations point to thermal gas filling the bulk of the volume of the lobe and mixed with the non-thermal plasma, rather than to the alternative scenario involving a condensation of the hot intergalactic medium around the edges of the expanding radio structure. If correct, this would be the first detection of the thermal content of the extended lobes of a radio galaxy in X-rays. The corresponding number density of the thermal gas in such a case is n(g) similar to 10(-4) cm(-3), while its pressure appears to be in almost exact equipartition with the volume-averaged non-thermal pressure provided by the radio-emitting electrons and the lobes' magnetic field. A prominent large-scale fluctuation of the Galactic foreground emission, resulting in excess foreground X-ray emission aligned with the lobe, cannot be ruled out. Although tentative, our findings potentially imply that the structure of the extended lobes in active galaxies is likely to be highly inhomogeneous and non-uniform, with magnetic reconnection and turbulent acceleration processes continuously converting magnetic energy to internal energy of the plasma particles, leading to possibly significant spatial and temporal variations in the plasma beta parameter around the volume-averaged equilibrium condition beta similar to 1.

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We report extensive observational data for five of the lowest redshift Super-Luminous Type Ic Supernovae (SL-SNe Ic) discovered to date, namely, PTF10hgi, SN2011ke, PTF11rks, SN2011kf, and SN2012il. Photometric imaging of the transients at +50 to +230 days after peak combined with host galaxy subtraction reveals a luminous tail phase for four of these SL-SNe. A high-resolution, optical, and near-infrared spectrum from xshooter provides detection of a broad He I ?10830 emission line in the spectrum (+50 days) of SN2012il, revealing that at least some SL-SNe Ic are not completely helium-free. At first sight, the tail luminosity decline rates that we measure are consistent with the radioactive decay of 56Co, and would require 1-4 M ? of 56Ni to produce the luminosity. These 56Ni masses cannot be made consistent with the short diffusion times at peak, and indeed are insufficient to power the peak luminosity. We instead favor energy deposition by newborn magnetars as the power source for these objects. A semi-analytical diffusion model with energy input from the spin-down of a magnetar reproduces the extensive light curve data well. The model predictions of ejecta velocities and temperatures which are required are in reasonable agreement with those determined from our observations. We derive magnetar energies of 0.4 <~ E(1051 erg) lsim 6.9 and ejecta masses of 2.3 <~ M ej(M ?) lsim 8.6. The sample of five SL-SNe Ic presented here, combined with SN 2010gx—the best sampled SL-SNe Ic so far—points toward an explosion driven by a magnetar as a viable explanation for all SL-SNe Ic.

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This paper investigates the use of plug-in parking lots (SmartPark) as integral energy storage to improve small-signal stability using plug-in electric vehicles (PEV). The paper establishes the Phillips-Heffron model of a power system for a SmartPark solution. Based on this model, SmartPark-based stabilisers have been designed based using phase compensation to improve power system oscillation stability. The effectiveness of stabilisation superimposed on the active and reactive power regulators is verified by simulations obtained from a multi-machine power system model with SmartPark and a large-scale wind farm inclusion.

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This paper presents a scalable, statistical ‘black-box’ model for predicting the performance of parallel programs on multi-core non-uniform memory access (NUMA) systems. We derive a model with low overhead, by reducing data collection and model training time. The model can accurately predict the behaviour of parallel applications in response to changes in their concurrency, thread layout on NUMA nodes, and core voltage and frequency. We present a framework that applies the model to achieve significant energy and energy-delay-square (ED2) savings (9% and 25%, respectively) along with performance improvement (10% mean) on an actual 16-core NUMA system running realistic application workloads. Our prediction model proves substantially more accurate than previous efforts.

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This paper studies disinflationary shocks in a non-linear New Keynesian model with search and matching frictions and moral hazard in the labor markets. Our focus is on understanding the wage formation process as well as welfare costs of disinflations in the presence of such labor market frictions.

The presence of imperfect information in labor markets imposes a lower bound on worker surplus that varies endogenously. Consequently equilibrium can take two forms depending on whether the no shirking condition is binding or not. We also evaluate both regimes from a welfare perspective when the economy is subject to a perfectly credible disinflationary shock.

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This paper tests a simple market fraction asset pricing model with heterogeneous
agents. By selecting a set of structural parameters of the model through a systematic procedure, we show that the autocorrelations (of returns, absolute returns and squared returns) of the market fraction model share the same pattern as those of the DAX 30. By conducting econometric analysis via Monte Carlo simulations, we characterize these power-law behaviours and find that estimates of the power-law decay indices, the (FI)GARCH parameters, and the tail index of the selected market fraction model closely match those of the DAX 30. The results strongly support the explanatory power of the heterogeneous agent models.

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Ovarian carcinoma (OC) is the most lethal of the gynecological malignancies, often presenting at an advanced stage. Treatment is hampered by high levels of drug resistance. The taxanes are microtubule stabilizing agents, used as first-line agents in the treatment of OC that exert their apoptotic effects through the spindle assembly checkpoint. BUB1-related protein kinase (BUBR1) and mitotic arrest deficient 2 (MAD2), essential spindle assembly checkpoint components, play a key role in response to taxanes. BUBR1, MAD2, and Ki-67 were assessed on an OC tissue microarray platform representing 72 OC tumors of varying histologic subtypes. Sixty-one of these patients received paclitaxel and platinum agents combined; 11 received platinum alone. Overall survival was available for all 72 patients, whereas recurrence-free survival (RFS) was available for 66 patients. Increased BUBR1 expression was seen in serous carcinomas, compared with other histologies (P = .03). Increased BUBR1 was significantly associated with tumors of advanced stage (P = .05). Increased MAD2 and BUBR1 expression also correlated with increased cellular proliferation (P < .0002 and P = .02, respectively). Reduced MAD2 nuclear intensity was associated with a shorter RFS (P = .03), in ovarian tumors of differing histologic subtype (n = 66). In this subgroup, for those women who received paclitaxel and platinum agents combined (n = 57), reduced MAD2 intensity also identified women with a shorter RFS (P < .007). For the entire cohort of patients, irrespective of histologic subtype or treatment, MAD2 nuclear intensity retained independent significance in a multivariate model, with tumors showing reduced nuclear MAD2 intensity identifying patients with a poorer RFS (P = .05).

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Exploiting multidimensional quantum walks as feasible platforms for quantum computation and quantum simulation attracts constantly growing attention from a broad experimental physics community. Here, we propose a two-dimensional quantum walk scheme with a single-qubit coin that presents, in the considered regimes, a strong localizationlike effect on the walker. The result could provide new possible directions for the implementation of quantum algorithms or from the point of view of quantum simulation. We characterize the localizationlike effect in terms of the parameters of a step-dependent qubit operation that acts on the coin space after any standard coin operation, showing that a proper choice can guarantee a nonnegligible probability of finding the walker in the origin even for large times. We finally discuss the robustness to imperfections, a qualitative relation with coherences behavior, and possible experimental realizations of this model with the current state-of-the-art settings.

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Purpose: The canonical Wnt signaling is activated by retinal injury. Under disease conditions, the Wnt mediates inflammatory responses. Inflammation has been detected in age-related macular degeneration (AMD) retinas and Ccl2-/-/Cx3cr1-/- (DKO) mice with or without rd8 background, a model with progressive AMD-like lesions including focal photoreceptor/RPE degeneration and A2E accumulation. We evaluated the effects of Wnt-β-catenin activation and an antibody against LRP6, the co-receptor of Wnt on these two models.

Methods: anti-LRP6 antibody (2F1, 1 μl of 5 μg/μL) was intravitreally injected into the right eyes in 3 separate experiments (DKOrd8, N=35; DKO, N=10). The left eyes were injected with mouse IgG as controls. Fundoscopy was taken before injection and sequentially monthly after injection. Two months after injection, light-adapted ERG responses were recorded; then the eyes were harvested for histopathology, the determination of retinal A2E, and molecular analysis. The microarray of ocular mRNA of 92 Wnt genes was compared between the treated and the control eyes. The phosphorylated types of LRP6 and β-catenin and endogenous forms of the proteins were assayed by Western blotting.

Results: For DKOrd8 mice, the fundus showed a slower progression or alleviation of retinal lesions in the right eyes as compared to the left eyes. Among 35 pairs of eyes, 26 (74.3%) were improved, 7 (20%) stayed the same and 2 (5.7%) remained progressing. Histology confirmed the clinical observation. Light-adapted ERG of the treated eyes exhibited larger amplitudes compared to control eyes (n=6), with greater improvements under UV light stimulus. There was a significantly lower A2E in the treated eyes compared to controls. Microarray of 92 Wnt genes expression pattern was similar in both eyes. Western blotting indicated local administration of 2F1 antibody to suppress the activation of Wnt pathway in the retina. For DKO mice, the treatment improved ERG but less effect on RPE degeneration.

Conclusions: The canonical Wnt signaling plays a role in the focal retina lesion of both DKOrd8 and DKO mice; and intravitreal anti-LRP6 antibody might be neuroprotective via deactivation of canonical Wnt pathway.

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The results of an experimental study and velocity analysis of the flow characteristics in the vicinityof a floodplain with two rows of permeable/impermeable groynes in compound channels with oneand two floodplains are presented. A 60% permeable groyne model with three different lengthsrelative to the floodplain width was used. The results showed that double groyne could beconsidered as one groyne (one block) for aspect ratio Sr < 2 (Sr = distance between twosuccessive groynes/groyne length). When Sr > 2, each groyne started to act independently.The velocity reduction was more than 45-52% of the floodplain’s approach velocity compared with30-35% in the case of a single groyne. The significant velocity reduction was located at a distance1.5-2 times the groyne length downstream of the single or the double groynes. Generally, themaximum velocities in the main channel ranged from 1.1 to 1.35 times the original approachingvelocity. The effective groyne relative length and aspect ratio should not to be more than 0.5 and 2,respectively.

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A compreensão dos impactes das alterações climáticas é fundamental para a gestão a longo do prazo dos ecossistemas estuarinos. Esta compreensão só poderá ser efectiva considerando a variabilidade climática natural e o papel relativo das intervenções antropogénicas nestes ecossistemas. Assim, a presente dissertação analisa a influência das alterações climáticas e pressões antropogénicas na qualidade da água e dinâmica ecológica da Ria de Aveiro com base numa abordagem integrada, que combinou a análise de séries temporais dos últimos 25 anos e a modelação numérica de elevada resolução de cenários futuros de alterações climáticas e intervenções antropogénicas. A componente de modelação de qualidade da água e ecológica foi melhorada a vários níveis. A análise de sensibilidade do modelo 3D hidrodinâmicoecológico ECO-SELFE aplicado à Ria de Aveiro e a revisão das constantes de semi-saturação para absorção de nutrientes pelo fitoplâncton contribuíram para a precisão e robustez das aplicações. A concentração do fitoplâncton foi significativamente influenciada pelas taxas de crescimento do fitoplâncton e de mortalidade e excreção do zooplâncton, e apresentou uma sensibilidade reduzida à variação das constantes de semi-saturação na gama identificada para as diatomáceas. O acoplamento do ECO-SELFE a um modelo de campo próximo e a integração do ciclo do oxigénio aumentaram a sua capacidade de representação dos processos e das escalas espaciais relevantes. A validação do ECO-SELFE foi realizada com base num conjunto de campanhas específicas realizadas no canal de Mira. Os padrões espaciais e temporais observados para as várias variáveis (clorofila a, nutrientes, oxigénio dissolvido, salinidade, temperatura da água, correntes e níveis) foram simulados com erros menores ou semelhantes aos obtidos neste tipo de aplicações. A análise dos padrões de variabilidade espacial e temporal da qualidade da água e ecológica na Ria de Aveiro a diferentes escalas, efectuada com base nos dados históricos de 1985 a 2010 complementados pelas campanhas realizadas, sugeriu uma influência combinada da variabilidade climática e das acções antropogénicas. Os cenários futuros de alterações climáticas e intervenções antropogénicas simulados evidenciaram uma influência mais significativa das alterações climáticas quando comparadas com os efeitos das acções antropogénicas analisadas. As variações mais significativas são previstas para os cenários de subida do nível do mar, seguidos dos cenários de alterações dos regimes hidrológicos, evidenciando o papel da circulação (maré e caudal fluvial) no estabelecimento da qualidade da água e dinâmica ecológica na laguna. Para os cenários de subida do nível do mar são previstos decréscimos significativos da clorofila a e dos nutrientes a jusante e nas zonas intermédias do canal, e um aumento significativo da salinidade a montante. Estas alterações poderão favorecer modificações da composição e distribuição das comunidades, afectando a cadeia alimentar e causando uma progressão para montante de espécies marinhas. Os resultados sugerem ainda que os efeitos poderão ser mais significativos em estuários pouco profundos.