Article history: Received 1 April 2011 Received in revised form 4 August 2011 Accepted 5 October 2011 Available online 3 November 2011 We investigate how various ecological modernisation forces in terms of environmental regulations, customer pressure, and economic pressure are associated with the implementation of green logistics management (GLM) by Chinese export manufacturers to manage the lo...

This paper proposes a unified framework for duration and intonation modeling in Mandarin TTS. In this framework, we design a novel parametric representation of mandarin intonation based on orthogonal polynomial approximation. By this representation, we can decompose F0 vector into 3 orthogonal polynomial parameters that are continuous scalars. Based on this vector-to-scalar decomposition, we ca...

We apply sparse Bayesian learning methods, automatic relevance determination (ARD) and predictive ARD (PARD), to Alzheimer's disease (AD) classification to make accurate prediction and identify critical imaging markers relevant to AD at the same time. ARD is one of the most successful Bayesian feature selection methods. PARD is a powerful Bayesian feature selection method, and provides sparse m...

The glm-ie toolbox contains functionality for estimation and inference in generalised linear models over continuous-valued variables. Besides a variety of penalised least squares solvers for estimation, it offers inference based on (convex) variational bounds, on expectation propagation and on factorial mean field. Scalable and efficient inference in fully-connected undirected graphical models ...

Technology evolutions make possible the use of Geo-Localized Measurements (GLM) for performance and quality of service optimization thanks to the Minimization of Drive Testing (MDT) feature. Exploiting GLM in radio resource management is a key challenge in future networks. The Forecast Scheduling (FS) concept that uses GLM in the scheduling process has been recently introduced. It exploits long...

Brundan and Kleshchev recently introduced a new family of presentations of the Yangian Y (gln) associated to the general linear Lie algebra gln, and thus provided a fresh approach to its study. In this article, we would like to show how some of their ideas can be fruitfully extended to consider the Yangian Y (glm|n) associated to the Lie superalgebra glm|n. In particular, we give a new proof of...

Statistical procedures based on the general linear model (GLM) share much in common with one another, both conceptually and practically. The use of structural equation modeling path diagrams as tools for teaching the GLM as a body of connected statistical procedures is presented. A heuristic data set is used to demonstrate a variety of univariate and multivariate statistics as structural models...

Variability in single neuron models is typically implemented either by a stochastic Leaky-Integrate-and-Fire model or by a model of the Generalized Linear Model (GLM) family. We use analytical and numerical methods to relate state-of-theart models from both schools of thought. First we find the analytical expressions relating the subthreshold voltage from the Adaptive Exponential Integrate-andF...

This study evaluates the effects of spatial smoothing on inter-subject correlation (ISC) analysis for FMRI data using the traditional model based analysis as a reference. So far within ISC analysis the effects of smoothing have not been studied systematically and linear Gaussian filters with varying kernel widths have been used without better knowledge about the effects of filtering. Instead, w...

Wu, Feng, Frank Park, Allen W. Cowley, Jr., and David L. Mattson. Quantification of nitric oxide synthase activity in microdissected segments of the rat kidney. Am. J. Physiol. 276 (Renal Physiol. 45): F874–F881, 1999.—This study was designed to quantify nitric oxide synthase (NOS) activity in microdissected glomeruli (Glm), pars convoluta, pars recta, cortical collecting duct, cortical thick a...