Figure 3 definition
Figure 3. 4: Base Sector Antenna 45 degrees Azimuth Co-Polar and Cross-Polar Discrimination Table 3-13: Base Sector Antenna 45 degrees Azimuth Co-Polar and Cross-Polar Discrimination ANGLE OFFSET CO-POLAR (DBI) ANGLE OFFSET CROSS-POLAR FROM BORESIGHT FROM BORESIGHT (DBI) (DEG) (DEG) ------------ -------------- ------------ ----------- 0 [***] 0 [***] 27.5 [***] 22.5 [***] 37.5 [***] 32 [***] 50 [***] 90 [***] 110 [***] 100 [***] 140 [***] 180 [***] 180 [***]
Figure 3. SLA life cycle characterized by Sun Microsystems Internet Data Center Group.
Figure 3. The optimal token bucket is given by the tangent to the indi erence curve with slope t. Observe that H1 > H2 for t1 < t2 , where t1 corresponds to a smaller bu er than t2 . rho (Mbps) rho (Mbps)
(a) Indi erence curves for vari- (b) Indi erence curves It is interesting to note that the above approach for ous shaping delays. for various percentages of non- conforming tra c, and shaping delay 40 msec. determining optimal token bucket parameters is related Figure 2: Indi erence curves for various shaping delays (each
Examples of Figure 3 in a sentence
The tests shall be conducted using the test bench as shown in Annex 6, Appendix 3, Figure 3.
All interval or ratio data (data measuring continuous phenomena, with each color representing an equal interval) need to be displayed in a graded scale of a single color (Figure 3).
The main characteristics of the manikin are illustrated in the following figures and tables: Figure 1 Side view of head, neck and torso; Figure 2 Front view of head, neck and torso; Figure 3 Side view of hip, thighs and lower leg; Figure 4 Front view of hip, thighs and lower leg; Figure 5 Principal dimensions; Figure 6 Manikin in sitting position, showing: Location of the centre of gravity; Location of points at which displacement shall be measured; and shoulder height.
In addition, we appreciate ▇▇▇▇ ▇▇▇▇▇▇▇ for providing information on how to create publication-quality graphics, ▇▇▇▇▇▇▇ ▇▇▇▇ for creating the data used in sample Figure 1, and ▇▇▇ ▇▇▇▇▇ for providing sample Figure 3.
The Consent Decree of 1995 specified that interim and long-term total phosphorus (TP) concentration limits for discharges into the Everglades National Park (ENP) (Figure 3) through Shark River Slough be met by October 1, 2003, and December 31, 2006, respectively.
More Definitions of Figure 3
Figure 3. Possible case allocation mechanism in a digital context
Figure 3. The construction of the controller K(αQ) = K ? (αQ) = K ? (αK˜ ? K1).
Figure 3 a, correlation scatterplot of mean pH value and mean ΔST% Glucose contrast for B16, 4T1 (b) and PC3 (c) tumour model. GlucoCEST contrast and tumor pH values were correlated by calculating the average values for each metric in the whole tumor region. In vivo we did not observe a clear pH dependence with the GlucoCEST contrast in the tumor regions. As shown in Figure 3, a wide range of GlucoCEST contrast (ΔST% 1-5%) was observed in a physiological range of tumor extracellular pH values (pH: 6.4-7.1) for each tumor model. Exploiting the sequential administration of the two CEST agents, we performed a correlation of the two metrics inside the tumor using a pixel-by-pixel approach. First, we identified pixels within the same tumour region where both glucose and iopamidol were detectable (Figure 4, pixels coloured in blue). For these pixels, we correlated the GlucoCEST contrast and the measured tumour pH values within the same tumours. Figure 4 shows representative similarity maps of B16-f10, 4T1 and PC3 tumour model and scatterplot correlation graph between GlucoCEST contrast iopamidol CEST and between GlucoCEST and tumour pH for each tumour. Figure 5: a, Similarity analysis between GlucoCEST (ΔST% Glucose) and Iopamidol CEST (ΔST% iopamidol) calculated pixel by pixel. b, Spatial similarity between GlucoCEST contrast (ΔST% Glucose) and pH value for each tumour. We observed a moderate spatial correlation between pixel-by-pixel glucoCEST and Iopamidol CEST contrast, with a wide range of correlations both positive and negative, for different tumours even within the same murine tumour model. Also, the correlation between GlucoCEST and tumour pH showed a big variability, with some tumours showing high correlation between GlucoCEST contrast and the acidic tumour microenvironment and others showing moderate or no relationship.
Figure 3. Mean values for user evaluations of the crowd simulation tool with error bars representing the 95% confidence interval.
Figure 3. Backscattered scanning electron microscopy imaging of mineral precipitated from basalt during the bio-induced clogging of the injection well HN-02 (Ménez et al. in preparation). The iron sulfide minerals (2) precipitated abiotically on basaltic grain substrate (1) after CO2/H2S/H2 gas mixture injection in July 2012. The oxidation of iron sulfides minerals by Thiobacillus species led to precipitation of iron oxides (3) and sulfate which could then provide electron acceptors for iron and sulfate reducers like Thermodesulfovibrionales and Desulfurivibrionaceae members. Scale bar: 10 µm. Iron-sulfide oxidation by Thiobacillus could have led to enrichment in sulfate and Fe(III) in the form of iron oxi(hydroxi)de precipitates (Figure 3). Thus, dominant sulfate and iron reducing bacteria in the HN2.AL2 sample, in particular the Thermodesulfovibrionales MAG14 and the Desulfurivibrionaceae MAG11, may have benefited from these electron acceptor sources as suggested by the presence of related genes and the precipitation of iron oxi(hydroxi)de encrusting microbial cells (Figures 2 and 3). Furthermore, we notice that the MAG7, a Bacteroidota dominating in the HN2.AL2 sample, is capable of thiosulfate disproportionation suggesting that the remaining products of iron-sulfide mineral alteration could still sustain the particular microbial communities observed in HN2.AL2 metagenome.
Figure 3. A graphic representation of the horizontal and vertical layering of diverse boundary planting in the two 3m wide servitudes between houses. Table 1: Coastal Zone Environment Planting Densities
Figure 3. The same page when logged in as a HEALS partner. This particular demonstration user does not have special WP09 rights and the “WP09 partners only” folder is in meta-only mode: visible, but files in it are not accessible. FP7-ENV-2013-603946 D12.2 – The HEALS GeoDatabase Platform Author(s): Luc Cluitmans, ▇▇▇▇ ▇▇▇▇▇▇ Version: 10/28