Estimating the influential impact share of reducing household energy consumption across different sectors aimed at increasing cumulative profits in Iran: A non-linear programming optimization approach

Energy intensity is one of the most important energy feature that has a dramatic value in energy system of Iran.Indeed, Iran is one of the most energy intensive countries in the world and its main reason is related to high energy consumption in household section.In this article, we present a non-linear model that considers three scenarios in manage

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Biometric characters of seeds and wings as markers of geographical differentiation between European scots pine (Pinus sylvestris L.) provenances

Biometric characters of seeds and wings served to describe interprovenance differentiation of Scots pine in Europe.Grouping analysis was applied, Mahalanobis distances were calculated as well as Hotellings T2 statistics were applied.The similarity of East European and SPST 24volt Relay Finnish provenances was conspicuous.The provenance from Scotlan

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