in recent decades, using water resources is increased for the sake of industrial, domestic and agricultural water consumptions by increase in urbanization and industrial development in karaj region that fraction of groundwater resources is too much according to the recent drought years and reduced precipitation in middle-east. these outcomes has caused groundwater level drop, reduced in aquifer...

Compared to the conventional methods, Artificial Neural Networks (ANN) are considered to be one of the reliable tools for modeling of complex phenomena such as demand. Aim of this study is to provide a model for gasoline demand in transportation section of Tehran metropolis through multilayered perceptron neural network and using the presented model in analyzing the sensitivity of the model to ...

Task completion plans normally resemble best-case scenarios and yield overly optimistic predictions of completion times. The authors induced participants to generate more pessimistic scenarios and examined completion predictions. Participants described a pessimistic scenario of task completion either alone or with an optimistic scenario. Pessimistic scenarios did not affect predictions or accur...

The paper presents the first ever demographic scenarios for the regions of Russia. Scenarios are developed for 49 ohlusts (regions), six kruys (territories), 21 republics, one autonomous oblast and two national cities, Moscow and St. Petersburg. Five scenarios are considered: two optimistic scenarios, two medium scenarios and one pessimistic scenario. The scenarios are combinations of three mor...

Forecasting the distribution patterns of invasive weed species under changing climate conditions is critical for early identification especially vulnerable regions and implementation effective preventive measures. In this study, current potential range stranglewort (Cynanchum acutum L.)—an alien (IAS) in certain regions—are predicted various scenarios, using maximum entropy algorithm. Species o...