Background: Acute appendicitis is the most common abdominal surgical emergency. The diagnosis of this condition is still essentially clinical and there is difficulty in the clinical diagnosis, especially among elderly, children and patients with a typical presentation, so early and accurate diagnosis of acute appendicitis is important to avoid its complications.Objectives: To evaluate the degree of accuracy of Alvarado scoring system in the diagnosis of acute appendicitis.Method: Two hundred patients were admitted to the Alkindy Teaching Hospital from January 2011 to april 2014- presented with symptoms and signs suggestive of acute appendicitis. After examination and investigations all patients were given a score according to Alvarado scoring 10 (8 variables) and they were classified accordingly to 6 groups of scores (score 5, score 6, score 7, score 8, score 9 and score 10). All the patients underwent appendectomy and the appendix specimens were sent for histopathological examination and the patients were divided into two groups:1-patients 7 score (164 patients)2-patients <7 score (36 patients)-We calculate the percentage of appendix proved to be inflamed by histopathology in each group of these 6 scoring groups.Results: The patients ages range from (7-64 years).One hundred six patients were male, 94 patients were female with male: female ratio of 1.24:1.Out of 200 patients, 168 patients had inflamed appendix proved by histopathological study, including 93 male and 75 female, while 32 patients have a normal appendix (13 male, 19 female).The Alvarado sensitivity found to be 83%, specificity is 59%, diagnostic accuracy of 85%, positive predictive value of 92% and negative predictive value of 59%.The diagnostic accuracy of the Alvarado score was found to be increased with the increase in the Alvarado score as it was 81% with Alvarado score 7 it was 100% in Alvarado score 10.Conclusion : Alvarado scoring system is a useful tool in diagnosis of acute appendicitis because it is simple, with high diagnostic accuracy rate and this accuracy increase proportionally to the increase in the degree of the score.Alvarado scoring system is a useful tool in diagnosis of acute appendicitis because it is simple, with high diagnostic accuracy rate and this accuracy increase proportionally to the increase in the degree of the score
In this paper a comparison of the experimental of evacuated tube solar water heater systems with and without mirror flat reflector. The aim of using the reflector to improve thermal efficiency, and the data gathered which are (temperature, solar irradiation and time) for three days were compared. the results from compared data the temperature lower increase in evacuated tube solar water heater system without reflector than the temperature increase in evacuated tube solar water heater system with reflector .The results show (53, 39, 35) % for three days respectively that the evacuated tube solar water heater system with reflector has higher thermal efficiencies than the results (47, 28, 30) % for three days respectively thermal efficiencies
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Improving" Jackknife Instrumental Variable Estimation method" using A class of immun algorithm with practical application
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This paper aims to improve the voltage profile using the Static Synchronous Compensator (STATCOM) in the power system in the Kurdistan Region for all weak buses. Power System Simulation studied it for Engineers (PSS\E) software version 33.0 to apply the Newton-Raphson (NR) method. All bus voltages were recorded and compared with the Kurdistan region grid index (0.95≤V ≤1.05), simulating the power system and finding the optimal size and suitable location of Static Synchronous Compensator (STATCOM)for bus voltage improvement at the weakest buses. It shows that Soran and New Koya substations are the best placement for adding STATCOM with the sizes 20 MVAR and 40 MVAR. After adding STATCOM with the sizes [20MVAR and 40MV
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The question of estimation took a great interest in some engineering, statistical applications, various applied, human sciences, the methods provided by it helped to identify and accurately the many random processes.
In this paper, methods were used through which the reliability function, risk function, and estimation of the distribution parameters were used, and the methods are (Moment Method, Maximum Likelihood Method), where an experimental study was conducted using a simulation method for the purpose of comparing the methods to show which of these methods are competent in practical application This is based on the observations generated from the Rayleigh logarithmic distribution (RL) with sample sizes
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