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Magnetic resonance cholangiopancreatography (MRCP) has not been assessed as a surrogate biomarker in pediatrics. We aimed to determine the inter‐rater reliability, prognostic utility, and construct validity of the modified Majoie endoscopic retrograde cholangiopancreatography classification applied to MRCP in a pediatric primary sclerosing cholangitis (PSC) cohort. This single‐center, retrospective, cohort study included children with PSC undergoing diagnostic MRCP between 2008 and 2016. Six variations of the Majoie classification were examined: 1) intrahepatic duct (IHD) score, 2) extrahepatic duct (EHD) score (representing the worst intrahepatic and extrahepatic regions, respectively), 3) sum IHD‐EHD score, 4) average IHD score, 5) average EHD score, and 6) sum average IHD‐EHD score. Inter‐rater reliability was assessed using weighted kappas and intraclass correlation coefficients (ICCs). Ability to predict time to PSC‐related complications (ascites, esophageal varices, variceal bleed, liver transplant [LT], or cholangiocarcinoma) (primary outcome) and LT (secondary outcome) was assessed with Harrell’s concordance statistic (c‐statistic) and univariate/multivariable survival analysis. Construct validity was further assessed with Spearman correlations. Forty‐five children were included (67% boys; median, 13.6 years). The inter‐rater reliability of MRCP scores was substantial to excellent (kappas/ICCs, 0.78‐0.82). The sum IHD‐EHD score had the best predictive ability for time to PSC complication and LT (c‐statistic, 0.80 and SE, 0.06; and c‐statistic, 0.97 and SE, 0.01, respectively). Higher MRCP scores were independently associated with a higher rate of PSC‐related complications, even after adjusting for the PSC Mayo risk score (hazard ratio, 1.74; 95% confidence interval, 1.14‐2.). MRCP sum scores correlated significantly with METAVIR fibrosis stage, total bilirubin, and platelets (r = 0.42, r = 0.33, r = −0.31, respectively; P

Rationale and Objectives The aim of this study was to determine whether resident performance in head ultrasound on neonates improves following brain phantom simulation training. Materials and Methods Ten junior radiology residents with at least one year of radiology training were divided into two equal groups. Both groups received a detailed head ultrasound protocol sheet and observed a technologist perform a head ultrasound on a neonatal patient at the beginning of their first pediatric radiology rotation. Both groups of residents also received teaching with a brain phantom model. Group A residents independently performed one head ultrasound exam, subsequently received phantom simulation training, and then performed a post-training head ultrasound exam. Group B residents received phantom simulation training prior to their first head ultrasound exam. Three pediatric radiologists independently and blindly reviewed the ultrasound images of each head ultrasound exam for proficiency of image acquisition using a validated scoring system. Scores of Group A residents prior to phantom training were compared to their scores after phantom training as well as to scores of Group B residents using simple linear regression. Results There was a statistically significant improvement in the performance of head ultrasound on neonates when comparing the same residents pre- and postphantom training (p = 0.003). Residents who initially trained with the phantom performed significantly better on their first head ultrasound examination on a neonate than those residents who did not (p = 0.005). Conclusion Our novel head ultrasound phantom training model significantly improves radiology resident performance of head ultrasound on neonates and may, therefore, be beneficial for residency education.

OBJECTIVE. Our objective was to evaluate the diagnostic accuracy and reliability of MRI and its ability to depict responsiveness to treatment for the evaluation of the axial joints (temporomandibular joint [TMJ], spinal joints, and sacroiliac joints) in juvenile idiopathic arthritis (JIA). CONCLUSION. There is fair (grade B) evidence that MRI is an accurate diagnostic method for evaluating early and intermediate changes in the TMJ in JIA and insufficient evidence to indicate MRI is an accurate diagnostic method for detecting JIA in the spinal (grade I) and sacroiliac (grade I) joints.

In medical field there is a growing need for development of software to be used for practical applications rather than only in research field. Doctors need not only to know the main symptoms in a patient but also the other factors in life and surrounding that lead to disease in the patient. For collecting all the necessary information about the patient the doctors needs to spend a lot of time with the patient asking necessary questions to get the important details. The doctor needs to document all the data for further use and needs to keep track of all the patient details and remedies. The proposed system is intended to develop an Intelligent System using data mining modeling technique, namely, Naive Bayes. It is implemented as Java application in which user answers the predefined questions. It retrieves hidden data from stored database and compares the user values with trained data set. It can answer complex queries for diagnosing heart disease and thus assist healthcare practitioners to make intelligent clinical decisions which traditional decision support systems cannot.

This paper derives all necessary equations which require for modeling of PMSG. The generator model is established in the dq-synchronous rotating reference frame. A MATLAB/Simulink simulation has been developed using 8.5 KW permanent magnet synchronous generator. In this paper maximum power point tracking (MPPT) controller for variable speed wind turbine is proposed. Maximum power which a wind turbine can deliver at a certain wind speed depends upon certain optimum value of speed at which the shaft rotates. Only at optimum speed we can have efficient use of equipment and available energy source. In order to control a wind turbine with Permanent Magnet Synchronous Generator (PMSG), a set of full-scale back-to-back voltage converter is used. The back-to-back converters are connected through a DC-link capacitor. The capacitor decouples the two converters, allowing separate controls being applied to each converter for simplicity. The control systems are separated into generator-side controller and grid-side controller. In this arrangement, the generator-side converter controls the operation of the generator and the network-side converter controls the DC link voltage by exporting active power to the network.

Wind turbine generator has been popular in the area of renewable energy source. Wind Turbine generator has shown the biggest growth in the past 10 years compared to other renewable sources. Direct drive generator using Permanent Magnet Synchronous Generator (PMSG) is used now a days as variable speed wind turbine generator. PMSG is suitable for the application due to its high efficiency, high torque-to size ratio, and low maintenance requirement. This paper derives all necessary equations which require for modeling of PMSG. The generator model is established in the dq-synchronous rotating reference frame. In this Paper MATLAB/Simulink simulation has been developed using 6 KW permanent magnet synchronous Generator. In order to verify the presented model simulations with MATLAB/Simulink software have been conducted. Simulation results prove the validity of the model.

[Figure][1] Image courtesy of ©2010 Jupiterimages Corp. > I try and spy with my little eye, > > Your age, your sex, the name you go by, > > The type of exam, position you’re in, > > Comparison films? Oh good, let’s begin. > Next time can you take a bigger “big breath?” > > I