Figure 20 definition

Figure 20. The configuration dialog after a project and process has been selected This launch configuration will now appear in the a drop-down menu described in the beginning of this section. The actual simulation will be described in Sec- tion 8.4.
Sample 1
Figure 20. The TFM reconstruction in case of two media using CIVA (a) and custom implemented technique (b)
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Figure 20. Exemplary reference water masks computed over Myanmar for the time-period 2019- 01-01 to 2020-12-31. (See text for details). The reference water mask product is updated once a year considering the previous two years of observation. This means that for example, the flood monitoring system running in 2021 will rely on the Sentinel-1 reference water mask being extracted from the Sentinel-1 mean backscatter over the reference time period from 2019 and 2020. The reference period of two years is chosen as Provision of an Automated, Global, Satellite-based Flood Monitoring Product for CEMS Issue: 1 Version:1.1 Date: 23.09.2021 compromise in order to base the computation on a sufficient number of Sentinel-1 data and to remove long-term hydrologic changes which would be integrated in the reference waters masks if longer time periods would be considered. The Sentinel-1 reference water mask product values are described in the following table. Table 7: Description of “S-1 reference water mask” output layer values. Value Description User Interpretation 0 No Water Users can assume this location normally not affected by the presenceof water.
Sample 1

Examples of Figure 20 in a sentence

  • Among other details, this function delivers the correlations between the variances and the ave_beta_share values (0.575 for the companies and 0.302 for macro variables, see the last part of Listing 3), the corresponding plots and scatter plots in Figure 20, and the output for Table 14.

  • Figure 20: Interpreting and Applying the Guidelines in Classification Assessing Context According to the Collins English Thesaurus (www.collinsdictionary.com), context refers to³EDFNJURXQG DPVHLZWRXUDNWLRUQHODIWULRQ IUDPH RI UHI±HUHQF 'LFWLRQDU\ FRP GHILQHV FRQWH[W DV ³WKH FLUFXPVWD RU LGHD DQG LQ WHUPV RI ZKLFK LW FDQ EH IXOO\ XQ The context ultimately is used to determine or give meaning to content.

  • A good505 relationship between and was resolved for all data points (see Figure 20) and was506 expressed: =32.94−0.735 + 100 (5)507 where a power curve was used as a best fit line assuming that the final streamline exiting508 the drop shaft had an angle of 90˚ which is typical in the exit of a vortex drop shaft509 structure (Weiss et al, 2010).

  • In particular, the scatter plot in Figure 20 illustrates the positive correlation between the variances of the NASDAQ companies and the corresponding average percentages of active beta coefficients, i.e. companies with higher volatility are tendentially more often activeregressors with non-zero beta coefficients.

  • As for coal-based electricity generation, Figure 20 shows that it will have to fall significantly by 2050.

  • This is accomplished by adding eight “dummy” clocks after the 24-bit address as shown in Figure 20.

  • On the other hand, costs of funding for lenders have remained low, thanks to sizable reductions in the ECB’s refinancing rate (ie TLTRO rates reduced to between -1 percent and 0 percent) as well as increases in bank deposits from households (see Figure 20).

  • The framework provides four categories, each with its own limits, shown in Figure 1.0 for adults ages 18 years old and older and Figure 2.0 for children ages 0-17 years old.

  • Figure 20 through Figure 24 summarize the coverage for arrays with variables of 2 to 10 values.

  • The schedule for settlement and invoicing in relation to the delivery dates is illustrated in Figure 20.


More Definitions of Figure 20

Figure 20. The MMC-based spectrum from LNHB was used to determine a shape-factor function for the high-energy part. This function is needed to determine the maximum energy by means of a Kurie plot (see Figure 21). Figure 21: (Pseudo-) Kurie plot using the MMC-based spectrum from LNHB and the shape-factor function from a fit (only high-energy part of the spectrum, Figure 20). The resulting beta spectrum, i.e. the spectrum between ~0 keV and 295.1 keV measured by means of MMCs after removal of the photon peaks, was then used to analyse a set of experimental LS data. In addition, the shape-factor q2+0.54∙p2 according to Xxxxx and Schüpferling (1974) with a maximum beta energy of 293.8 keV (according to Bé et al. 2011) was used. The results are shown in Figure 22. When using the Xxxxx and Schüpferling spectrum the activity concentration determined using the Wallac CNET counter is a bit higher than that obtained from TDCR-M27. The agreement between these two counters is much better when using the MMC based beta spectrum. It should, however, be noted that the situation looks slightly different when using a TriCarb 2800 TR for CNET. In this case, the agreement appears to be better when using the Xxxxx and Schüpferling spectrum. It is difficult to judge which of the commercial counters gives the better answer (at PTB usually the Wallac counter is the preferred system). Hence, we can just calculate a mean activity concentration of all CNET results. The outcome (see Table 5) shows, that the relative deviation is slightly lower when using the MMC-based beta spectrum. In general, the MMC-based spectrum yields slightly lower values for the activity concentration. For this study on 99Tc, the effect is very low when applying the TDCR method. Table 5: Activity concentration of a 99Tc solution determined by CNET using a Wallac (W) and a TriCarb 2800 TR (T1) counter and by TDCR using M27 of PTB. Two beta spectra were used for the analysis. Method/Counter a in kBq/g when using MMC-based beta spectrum rel. deviation between result and TDCR a in kBq/g when using R+S-based beta spectrum rel. deviation between result and TDCR CNET/W 169.1 0.10% 169.6 0.29% CNET/T1 168.7 -0.16% 169.1 0.00% CNET/W+T1 168.9 -0.03% 169.4 0.14% TDCR/M27 168.9 169.1 Figure 22: Activity concentration of a 99Tc solution as a function of the counting efficiency when using a kB parameter of 0.0075 cm/MeV.
Sample 1
Figure 20. Exemplary reference water masks computed over Myanmar for the time-period 2019- 01-01 to 2020-12-31. (See text for details). The reference water mask product is updated once a year considering the previous two years of observation. This means that for example, the flood monitoring system running in 2021 will rely on the Sentinel-1 reference water mask being extracted from the Sentinel-1 mean backscatter over the reference time period from 2019 and 2020. The reference period of two years is chosen as compromise in order to base the computation on a sufficient number of Sentinel-1 data and to remove long-term hydrologic changes which would be integrated in the reference waters masks if longer time periods would be considered. The Sentinel-1 reference water mask product values are described in the following table. Table 7: Description of “S-1 reference water mask” output layer values. Value Description User Interpretation 0 No Water Users can assume this location normally not affected by the presence of water.
Sample 1
Figure 20. Numerical against experimental results about the overall oxygen transfer rate during (a) the reduction in the fuel reactor and (b) the oxidation in the air reactor. Mean degrees of oxidation red
Sample 1

Related to Figure 20

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  • Quarterly (1/Quarter) sampling frequency means the sampling shall be done in the months of March, June, August, and December, unless specifically identified otherwise in the Effluent Limitations and Monitoring Requirements table.

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