Flood forecasting remains a very important task. Good forecast values with sufficient lead times can help reduce flood damages significantly. This paper proposes two types of black-box model obtained by using multiple regression analysis and backpropagation neural networks in forecasting 6-h water levels at three important stations on the upstream section of the Red River basin, North Vietnam. ...

Improving Creativity through Pictorial Teaching of Farsi   B. Akbari Mobaarakeh* Z. Abaazari, Ph.D.** N. Rahmati*** Z. Mirhoseini, Ph.D.****   To show that pictorial teaching of Farsi can improve creativity, a cluster sample of 320 female 6th graders was divided into two groups one of which was taught Farsi using the pictorial approach for a semester. The two groups’ crea...

studying active faults behavior for earthquake prediction and recognition is a concentrated subject in earth science. precise measurements of earthsurface deformation by geodetic observation provide a good reference for studying different geodynamic phenomena.  applying geodetic measurements in postseismic and interseismic intervals is an important tool for estimating strain accumulation and rh...

Andrzej Bytnerowicz*, Mark Fenn*, Steven McNulty, Fengming Yuan, Afshin Pourmokhtarian, Charles Driscoll and Tom Meixner USDA Forest Service, Pacific Southwest Research Station, Riverside, California, USA USDA Forest Service, Southern Station, Raleigh, North Carolina, USA Climate Change Science Institute and Environmental Science Division, Oak Ridge National Laboratory, Oak Ridge, Tennessee, US...

AIM To correct the misclassification in registered gastric cancer incidence across Iranian provinces in cancer registry data. METHODS Gastric cancer data is extracted from Iranian annual of national cancer registration report 2008. A Bayesian method with beta prior is implemented to estimate the rate of misclassification in registering patient's permanent residence in neighboring province. Ea...