the purpose of this research is investigation of application of the arbitrage pricing theory and effect of unanticipated changes in a set of macroeconomic variables such as inflation rate, money supply, exchange rate, oil price, term structure and industrial production on expected security return in tehran stock exchange. in this research, data are analyzed quarterly for the period of 1997-2008...

abstract governments in regional and national level try to improve economic and productivity growth by different polices. the being aware of effective factors in national and regional economic and productivity growth is essential for government success. in this paper, to being of aware determinant factors in productivity inequality, we use decomposition approach and econometric estimation for 2...

in protein biochemistry, biochemists specially study proteins as complex polymers. protein biochemistry is the study of the chemical structure of proteins, including individual amino acids, their linkage as well as physical structure of proteins. proteins, especially globular proteins, are three dimensional in nature. proper function of globular proteins is tightly related to their three-dimens...

The sectoral structure of most agricultural enterprises is unbalanced and uncoordinated, which underlies the need in deepened research of its improvement. This paper is dedicated to the formation and evaluation of the sectoral structure with the use of mathematical methods of data processing. Mathematical economic modeling based on optimization and simulation models has been applied for the for...

yarn tenacity is one of the most important properties in yarn production. this paper addresses modeling of yarn tenacity as well as optimally determining the amounts of the effective inputs to produce yarn with desired tenacity. the artificial neural network is used as a suitable structure for tenacity modeling of cotton yarn with 30 ne. as the first step for modeling, the empirical data is col...

Models for estimation of frame scores in Nellore beef cattle (FRAME_GMA) were developed, comparing them with frame scores estimated using equations proposed by the Beef Improvement Federation (FRAME_BIF, USA). Correlation among frame scores obtained by these two methodologies, along with the independent variables considered in the estimation models, were also studied. A data set with 12,728 ani...