The [H5]phenylalanine model was compared with the [1-C]leucine method to determine whole body protein synthesis (WBPS) and degradation (WBPD) in sheep fed at two levels. The animals were fed either 103 (M-diet) or 151 (H-diet) kcal ME/kg/day once daily in a crossover design for 21 days each. The isotope dilutions were simultaneously conducted as a primedcontinuous infusion of [H5]phenylalanine,...

Our approach to the ImageCLEF 2009 tasks is based on image segmentation, SIFT keypoints and Okapi BM25-based text retrieval. We use feature vectors to describe the visual content of an image segment, a keypoint or the entire image. The features include color histograms, a shape descriptor as well as a 2D Fourier transform of a segment and an orientation histogram of detected keypoints. We train...

Our approach to the ImageCLEF 2009 tasks is based on image segmentation, SIFT keypoints and Okapi BM25 based text retrieval. We use feature vectors to describe the visual content of an image segment, a keypoint or the entire image. The features include color histograms, a shape descriptor as well as a 2D Fourier transform of a segment and an orientation histogram of detected keypoints. We train...

I-vector based recognition is a well-established technique in state-of-the-art speaker and language recognition but its use in dialect and accent classification has received less attention. We represent an experimental study of i-vector based dialect classification, with a special focus on foreign accent detection from spoken Finnish. Using the CallFriend corpus, we first study how recognition ...

This paper considers the identi…cation and estimation of network models with agents interacting in multiple activities. We establish the model identi…cation using both linear and quadratic moment conditions. The quadratic moment conditions exploit the covariance structure of individuals’choices in the same and related activities, and facilitate the identi…cation of peer e¤ects when exclusion re...

Gaussian mixture models (GMM), trained using the generative criterion of maximum likelihood estimation, have been the most popular approach in speaker recognition during the last decades. This approach is also widely used in many other classification tasks and applications. Generative learning in not however the optimal way to address classification problems. In this paper we first present a ne...

The purpose of this study is to investigate the impact of exchange rate misalignment on inflation persistence. For this purpose, Vector Auto Regression method and Markov Switching model is used for quarterly data during 1989:4 -2014:3. The results show that, the impact of liquidity growth and exchange rate misalignment on inflation persistence is positive. On the other hand, GDP growth has a ne...

This paper investigates the effect of ethnolinguistic conflict on redistribution. The analysis focuses on the conflict arising between “peripheral” minority groups and a dominant “center”. We propose an index of linguistic conflict that (i) encompasses both diversity and polarization, and (ii) accounts for the distance between lanuguages. Our results suggest that linguistic diversity is a bette...