Ali Soleymani

A new method for measuring Auto-Fluorescence changes in neovascular-AMD after intravitreal injection of Bavecizumab

Age-Related Macular Degeneration (AMD) is the second disease diabetes which causes blindness in aged people. The only remedy for AMD is intravenous injection of Bavecizumab. To prove the efficiency of remedy, the degenerated cells in Macula should be measured. In this paper, the new software is introduced to measure Auto-Fluorescence in Macula part of retina in order to determine the number of degenerated cells. This system is consists of three main parts: low level pre-processing, image analysis and images understanding. Experiments have been done on a database of 34 retina images of before and after AMD patients remedy. The average number of decreased degenerated cells after remedy was 15134. In clinical reviews, the founded relation to disinflation of Macula has been proved, while there were no proved relations to the vision decreasing or increasing of patients.

Impact of Different Irrigation Managements on Soil Water Consumption, Grain Yield, Seed Protein, Phosphorus and Potassium of Winter Wheat

Abstract To evaluate soil water consumption, changes in quantity and quality of winter wheat seed and forage under different irrigation treatments, an experiment was conducted in Beijing, China, in the 2012-2013. Irrigation treatments were (I1): irrigation before sowing, (I2): irrigation before sowing + before freezing; (I3): irrigation before sowing + before freezing + irrigation in the beginning of erecting stage + irrigation at flowering stage; (I4): irrigation before sowing + irrigation before freezing + irrigation at the booting stage + irrigation at flowering stage. The laid out of experiment was randomized complete block design, repeated six times. The effect of irrigation on total biological yield, grain yield and harvest index is significant. The highest mean soil water consumption in Oct., Nov., Dec., Jan., Feb., Mar., Apr. and May was obtained for lysimeter 10 (I2), lysimeter 10 (I2), lysimeter 6 (I2), lysimeter 10 (I2), lysimeter 10 (I2), lysimeter 10 (I2), lysimeter 11 (I3), and lysimeter 10 (I2), respectively. The results from the study indicate that irrigation winter wheat throughout the booting stage and flowering stage increased grain yield, harvest index, potassium percentage, ash percentage of forage wheat at flowering stage, seed and forage protein percentage. Evapotranspiration trends increased steadily, especially in last three months, in which the lysimeter fields were covered by winter wheat completely.

Assessment of ET-HS Model for Estimating Crop Water Demand and Its Effects on Yield and Yield Components of Barley and Wheat in Semi-Arid Region of Iran

Abstract In order to estimate the water requirement of barley and wheat by using of ET-HS model, a research was conducted at Research Farm of Islamic Azad University, Isfahan (Khorasgan) Branch, Iran. ET-HS model is used to determine irrigation water quantity and irrigation schedule for different crop. The study was based on randomized complete block design (RCBD) with three replications and six treatments. The irrigation treatments included irrigation to supply 50, 75, 100, 125 and 150% of crop water demand on the basis of ET-HS model during growing season and control treatment (conventional irrigation), which was irrigation on the basis of 70 mm evaporation from Class A evaporation pan during growing season. In barley experiment, the highest values for number of fertile tiller, maximum LAI, total dry matter in maximum LAI stage, number of grain per spike, a thousand seed weight (35.56 g), grain yield (7877.9 kg/ha), biological yield (17689.7 kg/ha) and harvest index (44.45%) was obtained for irrigation according to 100% of crop water demand on the basis of ET-HS model. In wheat experiment, the highest number of fertile spike, number of grain per spike, 1000 grain weight, grain yield, biological yield was obtained for irrigation treatment on the basis of 100% ET-HS model; moreover, the maximum harvest index was related to control treatment, followed by irrigation on the basis of 100% of ET-HS model. Conclusively, the appropriate irrigation treatment was 100% of crop water demand on the basis of ET-HS model during the growth season for both crops.