the increase of greenhouse gases (ghg) in which co2 emissions constitute the principal component, is of major environmental problems of all societies. economic growth impels intensive use of resources and as a result, more residues and wastes thrown in the nature that could lead to environmental degradation. this article tries to trace the eventual relationship between trade openness and enviro...

Deepening financial development and rapid economic growth in China have been accompanied by widening income disparity between the coastal and inland regions. In this paper, by employing panel dataset for 29 Chinese provinces over the period of 1990-2001 and applying the generalized method of moment (GMM) techniques, we examine the impacts of financial development on China’s growth performance. ...

this study examines the role of growth and value stocks in liquidity and tobin's q ratio, and also the validity of claims existing difference between tobin q ratio of the two types of stocks in companies accepted in tehran stock exchange has been examined. the study period is between the years 1381 to 1390. we use pooled panel-data regression and egls and gmm methods to estimate the model ...

introduction lentil with about 28 percent protein occupies the second after soybean. it is one of the major crops in developing countries as a complement to cereals and is an excellent source of protein and amino acids in the diet. results of studies shown that for most crops, including lentil, the occurrence of drought stress in some phenology stages cause irreparable damages to yield. therefo...

Deepening financial development and rapid economic growth in China have been accompanied by widening income disparity between the coastal and inland regions. In this paper, by employing panel dataset for 29 Chinese provinces over the period of 1990-2001 and applying the generalized method of moment (GMM) techniques, we examine the impacts of financial development on China’s growth performance. ...

We describe a GMM-UBM-based evaluation system for pathologic voices that uses standard cepstral features. Per speaker one GMM is created and its components are used to create a so-called GMM supervector. The supervector of each speaker is labeled with the intelligibility values obtained by human evaluation and is used to train an SVR. We studied different GMM supervectors containing different G...

This paper demonstrates that modelling session variability during GMM training can improve the performance of a GMM supervector SVM speaker verification system. Recently, a method of modelling session variability in GMM-UBM systems has led to significant improvements when the training and testing conditions are subject to session effects. In this work, session variability modelling is applied d...

Strong anti glycolipid IgG responses can occur in humans and animals, but contrary to anti protein responses and anti glycoprotein responses, the exact mechanism of induction is unknown. We have previously shown that experimental immunization with the glycolipid glucose monomycolate (GMM) causes the development of specific T cell responses, but not of anti GMM antibodies. However, cattle natura...