The interaction of ion implantation with photoresist ashing: A statistical experimental design study

1991 ◽  
Vol 9 (3) ◽  
pp. 957-965 ◽  
Author(s):  
Jerry A. Stefani ◽  
Lee M. Loewenstein ◽  
Christopher Michael
Keyword(s):  
Experimental Design ◽  
Ion Implantation ◽  
Statistical Experimental Design ◽  
Design Study

scholarly journals Recent advances in optimized geophysical survey design

Geophysics ◽  
2010 ◽  
Vol 75 (5) ◽  
pp. 75A177-75A194 ◽  
Author(s):  
Hansruedi Maurer ◽  
Andrew Curtis ◽  
David E. Boerner
Keyword(s):  
Experimental Design ◽  
Information Content ◽  
Survey Design ◽  
Geophysical Methods ◽  
Microseismic Monitoring ◽  
Statistical Experimental Design ◽  
Design Study ◽  
Seismic Waveform ◽  
Recent Advances ◽  
Nonlinear Design

Survey design ultimately dictates the quality of subsurface information provided by practical implementations of geophysical methods. It is therefore critical to design experimental procedures that cost effectively produce those data that maximize the desired information. This review cites recent advances in statistical experimental design techniques applied in the earth sciences. Examples from geoelectrical, crosswell and surface seismic, and microseismic monitoring methods are included. Using overdetermined 1D and 2D geoelectrical examples, a minor subset of judiciously chosen measurements provides a large percentage of the information content theoretically offered by the geoelectrical method. In contrast, an underdetermined 2D seismic traveltime tomography design study indicates that the information content increases almost linearly with the amount of traveltime data (source-receiver pairs) considered until the underdeterminancy is reduced substantially. An experimental design study of frequency-domain seismic-waveform inversion experiments reveals that a few optimally chosen frequencies offer as much subsurface information as the full bandwidth. A nonlinear experimental design for a seismic amplitude-versus-angle survey identifies those incidence angles most important for characterizing a reservoir. A nonlinear design example shows that designing microseismic monitoring surveys based on array aperture is a poor strategy that almost certainly leads to suboptimal designs.

A Statistical Experimental Design to Plastein Synthesis with the Mixture of Soy Protein Isolate(SPI) Hydrolysate and Whey Protein Isolate(WPI) Hydrolysate

2011 ◽  
Vol 236-238 ◽  
pp. 2773-2779
Author(s):  
Ying Cao Xu ◽  
Zhi Biao Feng ◽  
Chun Hong Liu
Keyword(s):  
Experimental Design ◽  
Whey Protein ◽  
Soy Protein ◽  
Soy Protein Isolate ◽  
Whey Protein Isolate ◽  
Protein Isolate ◽  
Statistical Experimental Design ◽  
Operating Variables ◽  
Enzyme Substrate ◽  
Predicted Values

A statistical experimental design to plastein synthesis which was catalyzed by transglutaminase, using the mixture of soy protein isolate(SPI) hydrolysate and whey protein isolate (WPI) hydrolysate, was investigated. Enzyme/Substrate(E/S:5-25U/g), pH(5-9) and temperature (35-65°C) were selected as major operating variables. To investigate the effects of variables to yield of plastein, the statistical experiment of Box-Behnken design(BBD) and Response Surface methodology(RSM) was employed. Regression analysis showed that the experiment data accorded with the predicted values obtained from quadratic regression equation in BBD with R-Squared of 0.9866 and F-value of 102.51. The optimum results estimated by BBD were as follows: E/S(19.5U/g), pH(6.8), and temperature(50.0°C), gave a maximum plastein yield of 54%. In the present experiment, the preliminary study on plastein functions such as foaming, emulsifying, were showed that plastein had a good biological function.

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