Solving the Minimal Solutions of Max-Product Relation Equation by Graph Method and Branch Method

Author(s):  
Zhonglin Chai
1962 ◽  
Vol 02 (02) ◽  
pp. 165-172
Author(s):  
C Miras ◽  
G Lewis ◽  
J Mantzos

Summary1. Separated leukocytes or total blood from normal subjects, untreated leukaemic patients and from leukaemic patients treated with cytostatic agents were incubated with CH3COONa-l-C14. Radioactivity of mixed lipids was measured at standard time intervals.2. The time incorporation curve observed with leukocytes from treated leukaemic patients showed after an initial linear part, a more rapid levelling off than the curves observed with leukocytes from untreated and normal subjects.3. Therefore, an indirect effect of treatment on leukocyte lipid synthesis seems to be present.4. Phospholipid and neutral lipid synthesis by leukaemic leukocytes was also studied. The results give no evidence that these fractions as a whole have any precursor-product relation.


2001 ◽  
Vol 321 (1) ◽  
pp. 102-131 ◽  
Author(s):  
M.V. Sofin ◽  
E.Yu. Kerimov ◽  
A.E. Chastukhin ◽  
N.A. Bazhanova ◽  
Yu.V. Balykova ◽  
...  

1993 ◽  
Vol 296 (2) ◽  
pp. 423-433 ◽  
Author(s):  
J R Small

This paper is a study into the effects of experimental error on the estimated values of flux control coefficients obtained using specific inhibitors. Two possible techniques for analysing the experimental data are compared: a simple extrapolation method (the so-called graph method) and a non-linear function fitting method. For these techniques, the sources of systematic errors are identified and the effects of systematic and random errors are quantified, using both statistical analysis and numerical computation. It is shown that the graph method is very sensitive to random errors and, under all conditions studied, that the fitting method, even under conditions where the assumptions underlying the fitted function do not hold, outperformed the graph method. Possible ways of designing experiments to minimize the effects of experimental errors are analysed and discussed.


Dependability ◽  
2017 ◽  
Vol 17 (1) ◽  
pp. 40-45 ◽  
Author(s):  
I. B. Shubinsky ◽  
A. M. Zamyshlyaev ◽  
O. B. Pronevich
Keyword(s):  

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