in this paper, the combined effect of suspended (fine dust) particles and rotation on the onset of thermosolutal convection in an elastico-viscous fluid in a porous medium is studied. for the porous medium, the brinkman model is employed and rivlin-ericksen model is used to characterize viscoelastic fluid. by applying normal mode analysis method, the dispersion relation has been derived and sol...

We derive a generalized heat conduction problem for rarefied gas at slip regime from gradient system where the driving functional is entropy. Specifically, we construct an Onsager [Formula: see text] such that associated evolution of given by text], operator, contains higher-gradients absolute temperature text]. Moreover, through Legendre–Fenchel theory, write as classical with induced flow equ...

This paper proposes a transformed random effects model for analyzing non-normal panel data where both the response and (some of) the covariates are subject to transformations for inducing flexible functional form, normality, homoscedasticity and simple model structure. We develop maximum likelihood procedure for model estimation and standard error calculation, along with a computational devise ...

Returns to Education and Macroeconomic Shocks: Evidence from Argentina Returns to schooling in urban Argentina increased from 1992 to 2003, a period of economic reforms and macroeconomic volatility. In this paper I provide the most consistent estimates of returns to education so far, while I also investigate earnings profiles over time. This paper contributes to the existing literature by emplo...

This paper investigates the asymptotic properties of quasi-maximum likelihood (QML) estimators for random-effects panel data transformation models where both the response and (some of) the covariates are subject to transformations for inducing normality, flexible functional form, homoskedasticity, and simple model structure. We develop a QML-type procedure for model estimation and inference. We...

Gravity field modeling in the case of GOCE is based on a combination of the SST contribution for the low wavelength part and on gravitational gradiometry for the spatial details. The gradiomter part of the solution is derived from a combination of the gradient components Vxx, Vyy, Vzz. Variance components in the domain of spherical harmonics allow the analysis of the characteristic contribution...

Transfer function is very important for volume rendering. One common approach is to map the gradient magnitude to opacity transfer functions. However, it catches too many small details. Gradient vector flow (GVF) vectors have large magnitudes in the immediate vicinity of the edges, where the GVF vectors keep coordinate with the vectors of the gradient of the edge map. While in homogeneous regio...

Daylight is a dynamic source of illumination in architectural space, creating diverse and ephemeral configurations of light and shadow within the built environment. It can generate contrasting levels of brightness between distinct geometries or it can highlight smooth gradients of texture and color within the visual field. Although there are a growing number of studies that seek to define the r...

This paper presents a novel image retargeting approach for ranging cameras. The proposed approach first extracts three feature maps: depth map, saliency map, and gradient map. Then, the depth map and the saliency map are used to separate the main contents and the background and thus compute a map of saliency objects. After that, the proposed approach constructs an importance map which combines ...

Yahoo Japan Search Technology (YJST) team participated in the Query Understanding subtask of NTCIR-12 IMine-2. We explored various search log mining techniques to discover subtopics against the given original topics. For Vertical Identification, we trained a Gradient Boosted Decision Tree (GBDT) learner to identify a vertical label to each subtopic using several complex features including topic...