Background: Gray-scale sonography is generally
considered as a first-line diagnostic tool for patient with
suspected acute cholecystitis. It is suggested by gallstones,
Murphy's sign, thickening of the gallbladder wall and bile
sludging, but the specificity of these sonographic findings
are not as high as their sensitivity. Blood flow of the
gallbladder wall is increased in acute inflammation.
Objective: To evaluate the sensitivity and specificity of
power Doppler sonography and compared with conventional
color Doppler and gray-scale sonography in diagnosing
patients with acute cholecystitis.
Type of the study: This was a cross sectional study.
Patients and methods: The study was conducted through
the period from August 2014 to August 2015 on 80 patients
with acute right upper quadrant abdominal pain and
clinically suspected acute cholecystitis. Firstly, gray-scale
sonography of the abdomen was performed. Next, color
Doppler and power Doppler sonography of the gallblader
wall was done to detect mural flow. Quantifying intramural
vascularity was performed using Uggowitzer scoring
system. Grading of vascularity ++ and +++ were suggestive
of acute cholecystitis. Results of gray-scale and Doppler
sonography were compared with post cholecystectomy
histopathological results.
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The aim of this work is to create a power control system for wind turbines based on fuzzy logic. Three power control loop was considered including: changing the pitch angle of the blade, changing the length of the blade and turning the nacelle. The stochastic law was given for changes and instant inaccurate assessment of wind conditions changes. Two different algorithms were used for fuzzy inference in the control loop, the Mamdani and Larsen algorithms. These two different algorithms are materialized and developed in this study in Matlab-Fuzzy logic toolbox which has been practically implemented using necessary intelligent control system in electrical engineerin
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The methods of the Principal Components and Partial Least Squares can be regard very important methods in the regression analysis, whe
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