A new method to predict the content changes of aroma compounds during the aging process of Niulanshan Baijiu using the GM (1,1) gray model

Author(s):  
Zhen Wang ◽  
Jinwang Wei ◽  
Ying Wang ◽  
Tingting Zhu ◽  
Mingquan Huang ◽  
...  
2005 ◽  
Vol 289 (1-2) ◽  
pp. 117-131 ◽  
Author(s):  
H. Masmoudi ◽  
Y. Le Dréau ◽  
P. Piccerelle ◽  
J. Kister
Keyword(s):  

2012 ◽  
Vol 426 ◽  
pp. 77-80 ◽  
Author(s):  
You Xin Luo

Monotonically decreasing sequence data for the traditional modeling method using the gray model accuracy is not high, using Accumulated Generating Operation in reciprocal number, utilize three gray derivative processing method is deduced and the parameters optimization grey derivative calculation formula, and then established GRM(1,1) based on accumulated generating operation in reciprocal number on the equidistance, Gray provides a new method of modeling. Data processing examples show that the model's practicality and reliability.


Author(s):  
C. C. Clawson ◽  
L. W. Anderson ◽  
R. A. Good

Investigations which require electron microscope examination of a few specific areas of non-homogeneous tissues make random sampling of small blocks an inefficient and unrewarding procedure. Therefore, several investigators have devised methods which allow obtaining sample blocks for electron microscopy from region of tissue previously identified by light microscopy of present here techniques which make possible: 1) sampling tissue for electron microscopy from selected areas previously identified by light microscopy of relatively large pieces of tissue; 2) dehydration and embedding large numbers of individually identified blocks while keeping each one separate; 3) a new method of maintaining specific orientation of blocks during embedding; 4) special light microscopic staining or fluorescent procedures and electron microscopy on immediately adjacent small areas of tissue.


1960 ◽  
Vol 23 ◽  
pp. 227-232 ◽  
Author(s):  
P WEST ◽  
G LYLES
Keyword(s):  

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