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Figure 5 Approximation results. Measured 18 MHz attenuation presented as a C-scan (left) and corresponding estimated attenuation based on PE-data (right)... Figure 5 Approximation results. Measured 18 MHz attenuation presented as a C-scan (left) and corresponding estimated attenuation based on PE-data (right)...
FIGURE 3.26 Plot of the first and second PCA scores for original scaled data (left) and the ILR transformed data (right). The different symbols correspond to the samples of Vienna and Linz, respectively, and the symbol size is proportional to the temperature. For both data sets PCA is able to separate the samples from the two cities. Also clusters of different temperatures are visible. [Pg.111]

FIGURE 3.29 Sammon s NLM (p = 1) using the original scaled data (left) and the ILR transformed data (right). [Pg.113]

Group Assignment Tables (Compare Table 5.1) for the Phenyl Calibration Data (Left) and Test Data (Right) Using D-PLS with One, Two, and Three Components... [Pg.258]

In Fig. 6.22 the results of a viscosity scahng by f— fxT/rj (T) of the relaxation data are shown. Such a scaling is motivated by the Rouse model and should hold for the a-relaxation. The pure PPO data (right) behave according to this expectation in contrast the PP0-IiC104 curves deviate considerably. This indicates that the coupling factor between microscopic friction and viscosity depends on temperature, possibly due to transient cross-linking via Li-ions. [Pg.191]

Figure 14.18 Interlaminar shear strength results on predried, formed laminates (third data set from left) compared with unformed laminates (two leftmost sets) and manufacturer s data (right)... Figure 14.18 Interlaminar shear strength results on predried, formed laminates (third data set from left) compared with unformed laminates (two leftmost sets) and manufacturer s data (right)...
In the preceding paragraphs we presented available shock and bubble data at distances relatively far from the detonating underwater charge. Hantel and Davis (Ref 9) obtained velocity and shock pressure data right up to the expl/water interface. We quote their summary Calibration data are presented for the shock... [Pg.76]

Explain the meaning of the quotation at the beginning of this chapter Get the right data. Get the data right. Keep the data right. ... [Pg.92]

ADP monitored simultaneously in human gastrocnemius and soleus during three different exercise intensities, 20%, 30%, and 40% of maximum (bars), with rest periods in between and recovery at the end of the protocol. To standardize the data, PCr and ATP are expressed as the ratios of each to the sum of easily MRS-measurable phosphate metabolites [PCr] + [ATP] + [Pi], while ADP is given in molar units, since it is calculated from the CPK equilibrium. Left panels in A, B, and C indicate representative MRS data. Right panels show plots of work intensity (% maximum ATP turnover rate) as the independent parameter and metabolite concentrations at the end of each work bout are plotted as dependent parameters (on the vertical axes). (Modified from Allen et al., 1997.)... [Pg.60]

Figure 11 compares GABA simulations (left) with 100 mM GABA phantom data (right) for the edit OFF (top), edit ON (middle) and difference (bottom) spectra collected by the MEGA-PRESS and PRESS+4 methods. Phantom and in vivo experiments were carried out on a Bruker MedSpec 4.0 Tesla system. [Pg.98]

Figure 50.6. MRI signal, two dimensional Fourier transform and grey scale representation of the Fourier transformed data. Left grey scale representation of the single slice MRI of a spherical phantom filled with water. Center spectral representation of the Fourier transformed data. Right image represented in gray scale, the standard viewing method. Figure 50.6. MRI signal, two dimensional Fourier transform and grey scale representation of the Fourier transformed data. Left grey scale representation of the single slice MRI of a spherical phantom filled with water. Center spectral representation of the Fourier transformed data. Right image represented in gray scale, the standard viewing method.
Figure 2.5. HMO results (—, left-hand scale) for the wavelength dependence of the first n- n transition on the chain length for odd linear polyene anions (equal pf and for even linear polyenes (P,/p, = 1.25) compart with experimental data (—, right-hand scale) for symmetrical cyanines (Malhotra and Whiting, 1959) and polyenes (Nayler and Whiting, 1955). Figure 2.5. HMO results (—, left-hand scale) for the wavelength dependence of the first n- n transition on the chain length for odd linear polyene anions (equal pf and for even linear polyenes (P,/p, = 1.25) compart with experimental data (—, right-hand scale) for symmetrical cyanines (Malhotra and Whiting, 1959) and polyenes (Nayler and Whiting, 1955).
Figure 4. Left-. Structural model of the photosynthetic reaction center of Rps. viridis from crystal structure data. Right. Arrangement of the special pair (dark gray), accessory bacterio-chlorophyll (black), and the bacteriopheophytin (light gray) pigments. Figure 4. Left-. Structural model of the photosynthetic reaction center of Rps. viridis from crystal structure data. Right. Arrangement of the special pair (dark gray), accessory bacterio-chlorophyll (black), and the bacteriopheophytin (light gray) pigments.
To insure the supply of an item resulting from a research and development project, the Government should protect itself with the necessary patent and data rights and this is understandable and proper in everyone s mind. However, there are individuals in Congress and in the agencies who carry this protection idea to such an extreme that there is no opportunity for profit to industry possible from participating in a program. This constraint is a very real and substantial block to any incentive for innovation. [Pg.34]

Fig. 2. Results of the two evaluation examples. Circles symbolize scenarios. For description of scenario abbreviations see Table 1. Segments of circles symbolize equivalent evaluation of scenarios. Left diagram result based on modelled data. Right diagram result based on experts knowledge... Fig. 2. Results of the two evaluation examples. Circles symbolize scenarios. For description of scenario abbreviations see Table 1. Segments of circles symbolize equivalent evaluation of scenarios. Left diagram result based on modelled data. Right diagram result based on experts knowledge...
Fig. 11-7. Exchange of atmospheric C02 with the terrestrial biosphere. Left (solid line) Seasonal variation of atmospheric C02 at two stations (northern and southern hemisphere) compared with (dashed line) model calculations by Pearman and Hyson (1981). Center Rate of C02 exchange between biosphere and atmosphere for three latitude bands in the northern hemisphere derived from a best lit of the model to observational data. Right Integrated annual C02 net exchange rate versus latitude. Fig. 11-7. Exchange of atmospheric C02 with the terrestrial biosphere. Left (solid line) Seasonal variation of atmospheric C02 at two stations (northern and southern hemisphere) compared with (dashed line) model calculations by Pearman and Hyson (1981). Center Rate of C02 exchange between biosphere and atmosphere for three latitude bands in the northern hemisphere derived from a best lit of the model to observational data. Right Integrated annual C02 net exchange rate versus latitude.
Microfilters, Fig. 6 Schematic left) of an AC electro-osmotic stirrer placed at the edge of a monolith filter that generates microvortices to break up the excluded red blood cell Alter cake and pressure buildup data right)... [Pg.1852]

Figure 9.5 Sensitivity distribution functions estimated from experimental (left curve) and QSAR data (right curve). Acute toxicity data for five fish species were used for the estimate resulting in almost identical distribution functions. Reproduced from Nendza, Volmer and Klein (1990) with kind permission from Kluwer Academic Publishers, Dordrecht. Figure 9.5 Sensitivity distribution functions estimated from experimental (left curve) and QSAR data (right curve). Acute toxicity data for five fish species were used for the estimate resulting in almost identical distribution functions. Reproduced from Nendza, Volmer and Klein (1990) with kind permission from Kluwer Academic Publishers, Dordrecht.
View Processed Data (Result) If the execution was successful, the traffic signal turns to green. To view the processed data, right-click on the node and select the final menu. This gives the result table (Fig. 9.16). [Pg.465]

Fig. 19. EXAFS spectra (left) and Fourier transforms of the data (right) for horseradish peroxidase Compounds I and II. EXAFS data are weighted by k to enhance the amplitude ofhigh k oscillations. Reproduced with permission from Ref. [107]... Fig. 19. EXAFS spectra (left) and Fourier transforms of the data (right) for horseradish peroxidase Compounds I and II. EXAFS data are weighted by k to enhance the amplitude ofhigh k oscillations. Reproduced with permission from Ref. [107]...
GET THE PROJECT BASIS AND DATA RIGHT IN THE VERY BEGINNING... [Pg.465]

In most cases, feasibility assessment is conducted under a tight timeline. When the plant management approves a feasibility project, they want to move things as soon as possible in order to see the benefit to be captured quickly. However, it happens from time to time that feasibility assessment cannot generate correct results on time or is unable to address the key concerns sufficiently and hence turns out to be unsuccessful. In majority of such cases, it can be traced back to one source failure to define the basis correctly and get data right. Thus, the feasibility assessment embarks on the wrong track until it is too late to meet the project deadline. [Pg.465]

Due to the importance of getting the design basis and data right for a complex retrofit project, the following guidelines could be used ... [Pg.465]

Good communications internally and externally is the key to get the basis and data right. To achive this, assign a dedicated coordinator who can ask the right questions and extract the required information from plant personnel... [Pg.465]

Figure 12. Demixing pressures for styrene-butadiene (left) and styrene-isoprene (right) copolymer elastomers in binary fluid mixtures of pentane + carbon dioxide. Polymer concentration is 3 %. carbon dioxide content of the fluid mixtures are 9, 19 and 29 % for the SBR miscibility data[left] and 10, 30 and 40 % for the SIS miscibility data[right] [20, 37]. Figure 12. Demixing pressures for styrene-butadiene (left) and styrene-isoprene (right) copolymer elastomers in binary fluid mixtures of pentane + carbon dioxide. Polymer concentration is 3 %. carbon dioxide content of the fluid mixtures are 9, 19 and 29 % for the SBR miscibility data[left] and 10, 30 and 40 % for the SIS miscibility data[right] [20, 37].
Fig. 8.24 Screening study model adequacy left side) and statistical significance data right side)... Fig. 8.24 Screening study model adequacy left side) and statistical significance data right side)...
Fig. 3 Comparison between topography (left) and phase data (right), Z = 10 nm and 60° respectively. Scale bar = 200 nm. Figure depicts condensed DNA in the presence of 25kDa polyethylenimine (PEI)... Fig. 3 Comparison between topography (left) and phase data (right), Z = 10 nm and 60° respectively. Scale bar = 200 nm. Figure depicts condensed DNA in the presence of 25kDa polyethylenimine (PEI)...

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