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Suppression correlation

Sacktor N, Skolasky RE, Tarwater PM, McArthur JC, Seines OA, Becker J, Cohen B, Visscher B, Miller EN (2003) Response to systemic HIV viral load suppression correlates with psychomotor speed performance. Neurology 61(4) 567-569... [Pg.30]

To be fair, we must point out that this type of experiment is extremely sensitive to the parameters chosen. Various pulse sequences are available, including the original COLOC (Correlation by means of Long range Coupling) as well as experiments variously referred to as HMBC (Heteronuclear Multiple-Bond Correlation) and HMQC (Heteronuclear Multiple-Quantum Correlation). Depending on the parameters chosen, it is often not possible to suppress correlations due to one-bond coupling ... [Pg.45]

Cyclophosphamide s major active metabolite is phosphoramide mustard, which cross-links DNA to prevent cell replication. It suppresses T-cell and -cell function by 30-40% T-cell suppression correlates with clinical response in the rheumatic diseases. Its pharmacokinetics and toxicities are discussed in Chapter 54. [Pg.807]

Modification of HNCA to suppress correlation through J(N,C ). Only intraresidue cross-peaks are observed Backbone resonance correlation for sequential assignments across Pro residues... [Pg.309]

Toxicities (mucositis, BM suppression) correlate with MTX levels >1 fiM (1 x 10 M) for >48 hours. High-dose regimens must include leucovorin (LCV) rescue to prevent irreversible BM toxicity. LCV continued until MTX level <0.1 IJ.M to 0.01 /cM. [Pg.2299]

Suppression correlations. Here, an attempt is made to correlate the suppression of either the nucleate boiling or the forced convective component and to correct for this suppression in calculating the total heat transfer coefficient. [Pg.1086]

Suppression Correlations. Probably the most widely used correlation for forced convection boiling heat transfer is that of Chen [107], which is in the simple form ... [Pg.1089]

By choosing the proper correlation algorithm, it is possible to realise sensitive filters for other types of defects (e.g. corrosion). Fig. 5.2 shows an example for the suppression of signals which do not exhibit the expected defect stmcture (Two parallel white lines near upper central rim portion of Fig. 5.2). The largest improvement in SNR is obtained here by using the expression (ai ai+x /ai+yj), since for a gradiometric excitation, one expects the crack response to show two maxima (a, aj+x) with a minimum (a m) in the centre (see Fig. 5.3). [Pg.262]

Likewise, the microscopic heat-transfer term takes accepted empirical correlations for pure-component pool boiling and adds corrections for mass-transfer and convection effects on the driving forces present in pool boiling. In addition to dependence on the usual physical properties, the extent of superheat, the saturation pressure change related to the superheat, and a suppression factor relating mixture behavior to equivalent pure-component heat-transfer coefficients are correlating functions. [Pg.96]

These two-dimensional CH shift correlations indicate CH relationships through two and more bonds (predominantly Jch and Jch connectivities) in addition to more or less suppressed Jch relationships which are in any case established from the CH COSY contour diagram. Format and analysis of the CH COLOC or HMBC plots correspond to those of a C//COSY or HSQC experiment, as is shown for a-pinene (1) in Figs. 2.14 - 2.17. [Pg.40]

All the above scaling relations have one common origin in the behavior of the correlation length of statistical fluctuations, in a finite system [140,141]. Namely, the most specific feature of the second-order transition is the divergence of at the transition point, as is described by Eq. (22). In the finite system, the development of long-wavelength fluctuations is suppressed by the system size limitation can be, at the most, of the same order as L. Taking this into account, we find from Eqs. (22) and (26) that... [Pg.268]

The first term in this equation describes the suppression of the probability of the fluctuation with the correlator Eq. (3.22) (the weight />[//(a)] of the disorder configuration is exp (— J da/2 (x))), while the second term stems from the condition that the energy c+[t/(x)] of the lowest positive-energy single-electron state for the disorder realization t/(x) equals c. The factor /< is a Lagrange multiplier. It can be shown that the disorder fluctuation //(a) that minimizes A [//(a)] has the form of the soliton-anlisolilon pair configuration described by [48] ... [Pg.365]

Bu4NBr in AN/PC in the temperature range 75 °C>6>- 35°C a linear correlation /rmax 41) is found [209], independent of temperature and solvent composition. The use of high-permittivity solvents belonging to the same class suppresses the effects due to strong selective solvation or changing association. [Pg.487]

However, in most cases the AW(D) dependencies are distinctly nonlinear (Fig. 9), which gives impulse to further speculations. Clearly, dependencies of this type can result only from mutual suppression of the hydrogel particles because of their nonuniform distribution over the pores as well as from the presence of a distribution with respect to pore size which does not coincide with the size distribution of the SAH swollen particles. A considerable loss in swelling followed from the W(D) dependencies, as shown in Fig. 9, need a serious analysis which most probably would lead to the necessity of correlating the hydrogel particle sizes with those of the soil pores as well as choice of the technique of the SAH mixing with the soil. Attempts to create the appropriate mathematical model have failed, for they do not give adequate results. [Pg.129]

Heteronuclear-shift-correlation spectra, which are usually presented in the absolute-value mode, normally contain long dispersive tails that are suppressed by applying a Gaussian or sine-bell function in the F domain. In the El dimension, the choice of a weighting function is less critical. If a better signal-to-noise ratio is wanted, then an exponential broadening multiplication may be employed. If better resolution is needed, then a resolution-enhancing function can be used. [Pg.170]


See other pages where Suppression correlation is mentioned: [Pg.1034]    [Pg.370]    [Pg.392]    [Pg.1034]    [Pg.1353]    [Pg.278]    [Pg.270]    [Pg.670]    [Pg.93]    [Pg.79]    [Pg.1034]    [Pg.370]    [Pg.392]    [Pg.1034]    [Pg.1353]    [Pg.278]    [Pg.270]    [Pg.670]    [Pg.93]    [Pg.79]    [Pg.1513]    [Pg.190]    [Pg.197]    [Pg.407]    [Pg.491]    [Pg.158]    [Pg.286]    [Pg.1044]    [Pg.70]    [Pg.73]    [Pg.368]    [Pg.53]    [Pg.359]    [Pg.186]    [Pg.50]    [Pg.436]    [Pg.48]    [Pg.252]    [Pg.93]    [Pg.161]    [Pg.165]    [Pg.129]    [Pg.271]   
See also in sourсe #XX -- [ Pg.15 , Pg.15 , Pg.97 , Pg.100 ]




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Parameter analysis correlation, suppression

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