The Effects of Implant Temperature on Lubricant Protein Precipitation and Polyethylene Wear in Joint Simulation Studies

2009 ◽  
pp. 91-91-6
Author(s):  
Y-S Liao ◽  
M Hanes
Keyword(s):  
Polyethylene Wear ◽  
Protein Precipitation ◽  
Simulation Studies ◽  
Joint Simulation

Benefits from Computerized Adaptive Testing as Seen in Simulation Studies

1999 ◽  
Vol 15 (2) ◽  
pp. 91-98 ◽  
Author(s):  
Lutz F. Hornke
Keyword(s):  
Measurement Error ◽  
Computerized Adaptive Testing ◽  
Test Procedure ◽  
Adaptive Testing ◽  
Parameter Estimates ◽  
Simulation Studies ◽  
Computerized Adaptive Test ◽  
Item Banks ◽  
Item Parameters ◽  
General Reliability

Summary: Item parameters for several hundreds of items were estimated based on empirical data from several thousands of subjects. The logistic one-parameter (1PL) and two-parameter (2PL) model estimates were evaluated. However, model fit showed that only a subset of items complied sufficiently, so that the remaining ones were assembled in well-fitting item banks. In several simulation studies 5000 simulated responses were generated in accordance with a computerized adaptive test procedure along with person parameters. A general reliability of .80 or a standard error of measurement of .44 was used as a stopping rule to end CAT testing. We also recorded how often each item was used by all simulees. Person-parameter estimates based on CAT correlated higher than .90 with true values simulated. For all 1PL fitting item banks most simulees used more than 20 items but less than 30 items to reach the pre-set level of measurement error. However, testing based on item banks that complied to the 2PL revealed that, on average, only 10 items were sufficient to end testing at the same measurement error level. Both clearly demonstrate the precision and economy of computerized adaptive testing. Empirical evaluations from everyday uses will show whether these trends will hold up in practice. If so, CAT will become possible and reasonable with some 150 well-calibrated 2PL items.

Adaptive Control Scheme for Coupled Tank Process

2018 ◽  
pp. 89-95
Author(s):  
Vinodhini M.
Keyword(s):  
Adaptive Control ◽  
Nonlinear Behaviour ◽  
Simulation Studies ◽  
Input Output ◽  
Control Scheme ◽  
Direct Model ◽  
Multivariable Process ◽  
Model Reference Adaptive ◽  
Siso System ◽  
Adaptive Control Scheme

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of adaptive techniques such as DMRAC control scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for multivariable process that exhibits nonlinear behaviour.

Presentation of Gamma-Irradiated-in-Air Polyethylene Wear in the Form of a Synovial Cyst

2003 ◽  
Vol 13 (5) ◽  
pp. 413-418
Author(s):  
Bryan T. Edwards ◽  
Patrick B. Leach ◽  
R. Scott Corpe ◽  
Robert D. Zura ◽  
Timothy R. Young
Keyword(s):  
Polyethylene Wear ◽  
Synovial Cyst ◽  
Gamma Irradiated

Validation of Simvastatin Analysis Methods in Human Blood Plasma (In Vitro) Using HPLC-UV Detector

2018 ◽  
Vol 8 (2) ◽  
Author(s):  
Iyan Sopyan ◽  
Cynthia Jaya ◽  
Driyanti Rahayu
Keyword(s):  
Blood Plasma ◽  
Human Plasma ◽  
Disease Risk ◽  
Protein Precipitation ◽  
Precipitation Method ◽  
Human Blood Plasma ◽  
Analysis Method ◽  
Uv Detector ◽  
Number Of Patients ◽  
System Suitability

The use of simvastatin (SV) increases along with the increasing number of patients with hyperlipidemia and cardiovascular disease risk factors. Consequently, this condition leads to the increasing need of analytical determination of SV in blood plasma. Analysis of SV in human plasma using protein precipitation method and HPLC with UV detector has not been reported. This research was purpose to find out the rapid, accurate, and valid of SV analysis method in human plasma. In this research plasma samples were treated with protein precipitation method. The analyte was then analyzed using HPLC with C18 column 250x4 mm and 5 µm of particle size, the mobile phase contained of phosphate buffer 0.01 M (pH 4.0) and acetonitrile 30:70 v/v with flow rate 1 mL/minute, and detected at 239 nm. The analysis method was validated based on some parameters, such as selectivity, accuracy, precision, repeatability, linearity, LOD, LOQ, and system suitability. The result showed selectivity represented by Rs was 2.870, repeatability by its CV less than 2%, and linearity by its coefficient correlation (r) 0.9992 for concentration range 0.08-0.32 ppm. Based on chromatogram peak area, LOD and LOQ were 0.0132 and 0.0440 ppm respectively, accuracy and precision were 86.25-89.36% and 0.66-1.81% were obtained. The result of system suitability test from retention time and chromatogram peak area showed by its CV less than 2%. The analysis method was proved to be valid for SV analysis in human plasma

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