background: the monte carlo method is the most accurate method for simulation of radiation therapy equipment. the linear accelerators are currently the most widely used machines in radiation therapy centers. methods: in this work, a monte carlo modelling of the siemens oncor linear accelerator in 6 mv and 18 mv beams was performed. the results of simulation were validated by measurements in wat...

abstract the industrial dairy farms in iran are facing several economic problems and about six percent of these farms were shut down in fars province due to low profitability. despite such problems and availability of other enterprises in the region, farmers do not switch to other farm activities. in this context, the factors affecting acceptance of diversification options were investigated in ...

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this study analyses the concept of cost functions for semi-automated straddle carrier (sc), rubber tyred gantry (rtg) and automated rail mounted gantry (rmg) container yard operating cranes. it develops a generic cost based model for a pair-wise comparison, analysis and evaluation of economic efficiency and effectiveness of container yard equipment to be used for decision-making by terminal pla...

Delineation of oxide and sulfide zones in mineral deposits, especially in gold deposits, is one of the most essential steps in an exploration project that has been traditionally carried out using the drilling results. Since in most mineral exploration projects there is a limited drilling dataset, application of geophysical data can reduce the error in delineation of the sulfide and oxide zones....

Modelling is emphasized heavily in the national math curriculum, yet the extent to which this concept is covered in the math textbooks is, while of great importance, unknown. To discover the extent to which this issue, and real problems in general, are covered in the 10th grade math textbooks, the content of the textbook for the ‘theoretical’ (“nazari”) branch was analyzed. In doing so, the vie...

In recent years, artificial neural networks (ANNs) have become one of the most promising tools in order to model complex hydrological processes such as the rainfall-runoff process. In many studies, ANNs have demonstrated superior results compared to alternative methods. ANNs are able to map underlying relationship between input and output data without prior understanding of the process under in...

‎This paper presents a new mixture model via considering the univariate skew Laplace distribution‎. ‎The new model can handle both heavy tails and skewness and is multimodal‎. ‎Describing some properties of the proposed model‎, ‎we present a feasible EM algorithm for iteratively‎ ‎computing maximum likelihood estimates‎. ‎We also derive the observ...

rapid urban growth is resulting into increase in travel demand and private vehicle ownership in urban areas. in the present scenario the existing infrastructure has failed to match the demand that leads to traffic congestion, vehicular pollution and accidents. with traffic congestion augmentation on the road, delay of commuters has increased and reliability of road network has decreased. four s...

We describe the construction and use of predictive models that provide inferences about the likelihood that users will consider particular events to be memorable landmarks in time. We discuss experiments and present integration of the models of event memorability into prototype file browsing tools. Finally, we discuss ongoing research and future directions for using predictive models of human m...