This paper shows that GDP growth volatility declines with production network diversification. To account for this evidence, I build a multisector model CES technologies and cost of complexity in the bundle intermediates. Production diversification decreases when intermediate inputs labor are substitute inputs. U.S. sectoral data suggest intermediates substitutes service sectors. Therefore, cali...

production of highly viscous tar sand bitumen using steam assisted gravity drainage (sagd) with a pair of horizontal wells has advantages over conventional steam flooding. this paper explores the use of artificial neural networks (anns) as an alternative to the traditional sagd simulation approach. feed forward, multi-layered neural network meta-models are trained through the back-error-propaga...

Although initially originated as a totally empirical relationship to explain the volume of trade between two partners, gravity equation has been the focus of several theoretic models that try to explain it. Specialization models are of great importance in providing a solid theoretic ground for gravity equation in bilateral trade. Some research papers try to improve specialization models by addi...

Saline soils occupy about 7% of the earth land surface, an extent portion of such soil are not arable due to very high level of salinity. The objectives of this study were to obtain information about the effect of salt content of irrigated water on growth, anatomical changes and alkaloid production in pomegranate trees. The result reported that, salinity of the irrigated water, with 800, 1200, ...

INTRODUCTION Neuroimaging and lesion studies indicate a left hemisphere network for verb and verb argument structure processing, involving both frontal and temporoparietal brain regions. Although their verb comprehension is generally unimpaired, it is well known that individuals with agrammatic aphasia often present with verb production deficits, characterized by an argument structure complexit...

In this paper an efficient three- stage algorithm is developed for software production cost and time estimation. First stage includes a hybrid model composed of COCOMO and Function Points methods to increase estimation accuracy. Second stage encompasses paired comparisons matrix of analytical hierarchy process to determine amount of any resources consumed in each step of software production by ...