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The purpose of the research is to test the applied reality of technical education organizations whether they are learning organizations or traditional organizations repeating past experiences and practices. The research is applied to a sample of academics who practice education and training in the targeted organizations with a sample strength (173) teaching surveying their opinions through a questionnaire designed to detect the dimensions of learning organizations, the Readiness Statistical Program (SPSS) was used and scientific statistical tools were used for analysis and statistical processing. The results of the research indicates that the target organizations are much closer to describing learning organizations as they advanced the dimensions of the scale. except for the decline of the sub-dimension, the flexibility of the reward and internal system will change.

Diabetic retinopathy grading is an important issue after detecting lesions of retina to estimate their risk and to take a suitable decision for treatment. Here, the grading of diabetic retinopathy is examined by consistent medical approaches to build a computer model for grading in automated way, which improve the efficiency of diabetic screening services. After the grading of diabetic retinopathy, Error Backpropagation Neural Network Learning Rule is used to give suggestions to a doctor for suitable treatment for the patient. Here, sixteen different cases are trained, and it takes about 8.368 seconds with 20820 iterations. The Neural network diagnosis four-treatment cases and they are urgent, moderate, mild and normal. It is also found from the results that Neural Network is very fast algorithm to give these decisions. In addition, the program that is used for carrying out processes is MATLAB Program version 2015, the computer is HP core i7.