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Morris method

Zeatin (frans-iV -[4-hydroxy-3-methylbut-2-en-l-yI]adenine) [1637-39-4] M 219.3, m 207-208, 209-209.5 , pKi 4.4 (basic), pK2 9.8 (acidic). Purified by recrystn from EtOH or H2O. The UV has A-max at 207 and 275nm (e 1400 and 14650) in O.IN aqueous HCl 212 and 270nm (e 17050 and 16150) in aqueous buffer pH 7.2 220 and 276nm (e 15900 and 14650) in O.IN aq NaOH. Thepicrate has m 192-194 (from H2O) from which zeatin can be recovered by treatment with Dowex 1 x8 (200-400 mesh, OH form). [Letham et al. Aust J Chem 22 205 1969 Proc Chem Soc (London) 230 7964 Shaw and Wilson Proc Chem Soc (London) 231 7964.] It is a cell division factor (plant growth regulator) [Letham and Palni Ann Rev Plant Physiol 34 163 1983] and inhibits mitochondrial function [Miller Plant Physiol 69 1274 7982]. Its 9-riboside is a cytokine [McDonald and Morris Methods Enzymol 100 347 7985]. [Pg.577]

It is then possible to analyse the contribution of the model inputs to the variance of this new variable of interest using the Morris method or variance decomposition. [Pg.1693]

First of all, it is important to check whether there are parameters that have negligible impact on the output variable. These parameters could be fixed at their best-estimate value in the following computations. For this task, we can use the Morris method (Morris 1991). [Pg.1693]

We can conclude that the analysis of the model using the Morris method does not provide clear information on unimportant parameters. The small number of model runs used by the Morris method is not sufficient to estimate accurately the sensitivities. In consequence, it is not possible here to reduce the probabilistic model. [Pg.1693]

Using the Morris method, a series of parameter sets are generated so that the next parameter set differs from the previous one in the value of a single parameter only, which is randomly chosen. The value of each parameter Xj is modified within the range by a fixed amount A that is determined in the following way. A... [Pg.76]

Fig. 5.5 A typical result of the Morris method. Expected value t(d,y) shows the effectiveness of the parameter, whilst variance a dij) indicates if the effectiveness of the parameter is altered at different values of the other parameters. This means that a dij) characterises the nonlinearity of the parameter effect (Zador 2006)... Fig. 5.5 A typical result of the Morris method. Expected value t(d,y) shows the effectiveness of the parameter, whilst variance a dij) indicates if the effectiveness of the parameter is altered at different values of the other parameters. This means that a dij) characterises the nonlinearity of the parameter effect (Zador 2006)...
The standard RS-HDMR approach was extended by an optimisation method (Ziehn and Tomlin 2008a), which automatically chooses the best polynomial order for the approximation of each of the component functions. Component functirms can also be excluded from the HDMR expansirm if they do not make a significant contribution to the modelled output value via the use of a threshold (Ziehn and Tomlin 2008b, 2009). The aim is to reduce the number of comprment functions to be approximated by polymomials and therefore to achieve automatic complexity reduction without the use of prior screening methods such as the Morris method (Morris 2006). For a second-order HDMR expansirm, a separate threshold can be defined for the exclusion of the first- and second-order component functirms. [Pg.97]

Local Morris method Monte Carlo Sobol method HDMR/ polynomial chaos... [Pg.126]

Campolongo, F., Caiibruii, J., Saltelli, A., Schoutens, W. Enhancing the Morris method. Proceedings of 4th Intematimial Conference on Sensitivity Analysis of Model Output (SAMO 2004), pp. 369-379 (2005)... [Pg.134]

It is not feasible here to go in any detail into the history of processing methods let it suffice to point out that that history goes back to the Victorian beginnings of polymer technology. Thus, as Mossman and Morris (1993) report, the introduction of camphor into the manufacture of parkesine in 1865 was asserted to make it possible to manufacture more uniform sheets than before. Processing has always been an intimate part of the gradual development of modern polymers. [Pg.329]

XIII) was synthesised independently by Hanford and Adams, i who identified it with Ghose s deoxyvasicine, Cj H aNa (m.p. 96-5-97-5° (dry) picrate, m.p. 205-6°, cf. p. 617). Morris, Hanford and Adams i then showed that in vasicine the hydroxyl group was probably at a instead of as shown in (XI), and the proof of this constitution for the alkaloid was provided by Spath, Kuffner and Platzer,i who foimd that 1-o-amino-benzylpyrrolidine was identical with deoxyhexahydrovasicine and synthesised vasicine by the following method. - Methyl y-phthalimidobutyrate... [Pg.618]

I. Morris and G. Perry. Pipeline transmission method. Patent US 6201163,2001. [Pg.435]

B. J. Morris-Sherwood and E. C. Brink, Jr. Corrosion inhibiting composition and method. Patent CA 1264539, 1990. [Pg.435]

Morris ND, Mallouk TE. 2002. A high-throughput optical screening method for the optimization of colloidal water oxidation catalysts. J Am Chem Soc 124 111 14-11121. [Pg.591]

G.A. Morris, in Methods for Structure Elucidation by High Resolution NMR (G. Batta and K. Kover, eds), Elsevier, Amsterdam (1997). [Pg.348]

There is no clinical disease state that is pathognomonic for lead exposure. The neurotoxic effects and hematopoietic effects of lead are well recognized. The primary biomarkers of effect for lead are EP, ALAD, basophilic stippling and premature erythrocyte hemolysis, and presence of intranuclear lead inclusion bodies in the kidneys. Of these, activity of ALAD is a sensitive indicator of lead exposure (Hemberg et al. 1970 Morris et al. 1988 Somashekaraiah et al. 1990 Tola et al. 1973), but the assay can not distinguish between moderate and severe exposure (Graziano 1994). Sensitive, reliable, well-established methods exist to monitor for these biomarkers however, they are not specific for lead exposure. Therefore, there is a need to develop more specific biomarkers of effect for lead. Recent data... [Pg.351]

Translated from German by Peter M. Morris)," Texture Analyses in Materials Science Mathematical Methods" Bunge, H.-J. Butterworths, Boston, MA, 1982. [Pg.154]

T. Parella, 2D methods for the measurement of long-range proton-carbon coupling constants, in Multidimensional NMR Methods for the Solution State, G. A. Morris and J. W. Emsley (eds.), John Wiley Sons Ltd, Chichester, 2010, pp. 305-314. [Pg.353]


See other pages where Morris method is mentioned: [Pg.577]    [Pg.522]    [Pg.522]    [Pg.708]    [Pg.154]    [Pg.1693]    [Pg.147]    [Pg.76]    [Pg.77]    [Pg.78]    [Pg.79]    [Pg.122]    [Pg.129]    [Pg.130]    [Pg.577]    [Pg.522]    [Pg.522]    [Pg.708]    [Pg.154]    [Pg.1693]    [Pg.147]    [Pg.76]    [Pg.77]    [Pg.78]    [Pg.79]    [Pg.122]    [Pg.129]    [Pg.130]    [Pg.308]    [Pg.247]    [Pg.78]    [Pg.61]    [Pg.209]    [Pg.582]    [Pg.6]    [Pg.568]    [Pg.571]    [Pg.302]    [Pg.419]    [Pg.414]    [Pg.172]    [Pg.158]    [Pg.289]    [Pg.290]    [Pg.55]   
See also in sourсe #XX -- [ Pg.77 , Pg.97 , Pg.122 , Pg.129 ]




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