Figure 3. Means (+/-2 SE) by group for measures of Flavour Nutrient Satiety Learning (FNL-
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)
Figure 3. 3: Base Sector Antenna 90 degrees Azimuth Co-Polar and Cross-Polar Discrimination Table 3-12: Base Sector Antenna 90 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 [***] 50 [***] 45 [***] 60 [***] 60 [***] 75 [***] 95 [***] 110 [***] 100 [***] 140 [***] 180 [***] 180 [***] [***] CONFIDENTIAL TREATMENT REQUESTED Sector antenna 45 degrees RPE - Azimuth [Graphic Redacted-Confidential Treatment Requested]
Examples of Figure 3 in a sentence
Aboveground and on-ground surface features will be delineated ( Figure 3), including: • streets and alleys, • parking lots, • rooftops, • sidewalks, • driveways, • other paved areas, • curblines and gutter slopes, • aboveground features such as trees and utility poles, and • vegetation and open space.
This task will provide the DC EWMP group with new and up-to-date surface feature datasets ( Figure 3) that can be used for additional future analyses as deemed appropriate.
The two variables are strongly correlated r(245)=0.834, p <0.001 (Figure 3).
For the development of aquifer stratigraphy, we will use the stratigraphic framework conceptualized by Xxxxx and others (1975) (Figure 3).
In early 2015 there was an Figure 3- BLCF Log Grade Shelf Life Assumptions important change in the marketplace as some buyers would no longer accept the poorer grades of dead Pl. If this change continues and expands in the marketplace it could have serious impacts on our operations.
More Definitions of Figure 3
Figure 3. Possible case allocation mechanism in a digital context Parties are notified on the default way of treatment of their case and the default hearing location, and are given the possibility to express their motivated preference for other hearing modalities and/or for a different hearing location. Motivations to be provided may include, for example, their temporary or permanent disability, daily work commuting habits, presence of family in a certain place or full satisfaction with the virtual modality in order not to lose their time for this case. 77 See for example xxxx://xxx.xxxxxxxxxxxxxxxx.xxx.xx/wp-content/uploads/2018/02/Court-Closures- Briefing.pdf for the expression of several concerns. If no preferences are expressed, the case is allocated according to the default rules. Otherwise, a judge reviews the preferences and their motivations and takes a decision if the case should be heard as a virtual one or as a physical one, and in this latter case in which hearing location. There is hence the room for conceiving, developing and piloting an ICT tool that could: - Facilitate the expression by parties of motivated preferences for virtual or physical hearing, and for specific hearing locations in the second case; - Allow parties to express reasons against a case to be heard online; - Automatically detect the best allocation of “virtual” cases in order to guarantee a balanced distribution of workload; - Support the allocation of cases within hearing location within the same judicial district.
Figure 3. SLA life cycle characterized by Sun Microsystems Internet Data Center Group. According to Xxx et al. [1] a SLA should have several components like aim, limitations, domain, period of validity, Service Level Objective (SLO), contacting sides, sanctions and administration
Figure 3. The construction of the controller K(αQ) = K ? (αQ) = K ? (αK˜ ? K1).
Figure 3. 2: Conceptual Framework for the Typology of the Informal Economy Informal Economy Informal firms Informal Workers Unpaid family workers Necessity firms Opportunity firms Self- employed Non- agriculture Agriculture Source: (Xxxx, Kalusopa & Kimani, 2015). The distinction between necessity and opportunity entrepreneurs (firms) is at the heart of the debate about why firms and individuals operate informally. The idea of necessity firms takes us back to early work by Xxxxx (1954), Fields (1975) and Xxxxxxx and Lang (1985) and others, who have argued that lack of alternative employment in the formal sector forces many workers to set up businesses in the informal economy. Others have also argued that entry into the informal economy is a decision motivated by a desire to exploit profitable business opportunities and less of a necessity (Xxxxxxx, 2004; Yamada, 1996, Xxxxxxxx and Xxxxx, 1995). There are also informal workers, who may be working either as wage employees, unpaid family workers or self-employed. The evidence is that the vast majority of informal workers are self-employed globally and in Africa. The ILO estimates that self-employment accounts for 72 percent of non-agricultural employment in Africa. While including agriculture brings the total to about 83 percent (World Bank, 2014). The study’s conceptual infrastructure informing the study exploration and mapping of the informal economy, therefore, combines the ILO’s approach and a framework anchored in the political economy of African development.
Figure 3. Colquitt County Languages Source: World Population Review, 2018 Healthcare Needs When examining the health care needs of the county for an oral health education pilot program, it is important to not only focus on the oral health needs but health care needs as a whole. Healthcare needs are connected and each piece affects the overall health of the individual. Based on the 2018 County Health Rankings for Colquitt County, there was a significantly lower patient-to- provider ratio of dentists, primary care physicians, and mental health providers compared to state and national levels. The ratio of patients-to-dentists in Colquitt County is almost three times higher than national levels (Table 3), which explains HRSA’s designation of the county as a Health Professional Shortage Area. Table 3: Comparison for County, State and National Health Care Ratios Clinical Care Colquitt County GA US Primary Care / Physicians 2,410:1 1,520:1 1,030:1 Dentists 3,810:1 1,980:1 1,280:1 Mental Health Providers 2,540:1 830:1 330:1 Source: County Health Rankings and Roadmaps, 2018 Based on 2018 County Health Rankings, Colquitt County had unfavorable health outcomes compared to state and national rankings (Table 4). It is important to point out that although unemployment rates where not as high as national unemployment rates, child poverty is still higher compared to national poverty rates. The percentage of uninsured children was slightly higher than state average, but more than 3 times the national average. Lastly, child mortality rate was significantly higher than state and national rankings. Table 4: Comparison of Health Outcomes among County, State and National level Health Outcomes Colquitt County Georgia U.S. Poor or fair health 24% 19% 12% Child Poverty 37% 23% 12% Child Mortality 90* 60* 40* Uninsured Children 10% 7% 3% High school education 86% 80% 95% Source: County Health Rankings and Roadmaps, 2018 (*: Per 100,000) Colquitt County has three active telemedicine sites which have partnered with Children’s Healthcare of Atlanta. Map 3 gives perspective of how far Colquitt County is from Atlanta Metropolitan area, showing the need for a strong telehealth / telemedicine network. Map 3: Statewide Telemedicine Network Source: CHOA, n.d.
Figure 3. Marking of functional characteristic Table 2: Table of special characteristic marked on the drawing Process characteristic (KP): Process characteristics are those process parameters that influence compliance with previously defined SC and FC products (safety and functional characteristics) and / or have an impact on product safety or the safety function of the product. The customer's requirements must also be taken into account. Process characteristics must be determined due to: SC requirements FC requirements customer specific requirements internal calculation and / or tests evaluation in PFMEA – severity (S≥9)
Figure 3. ToF-XXXX spectra, showing the TiO+ ion peak, derived from depth profiles of unexposed Caco-2 cells (control) and Caco-2 cells exposed against 12.5 μg/cm2 of NM-103 or NM-104. Further data analysis using a 3D reconstruction showed that single cells indeed had TiO2 nanoparticle agglomerates incorporated (see Figures 4 and 5). The 3D reconstruction of the nanoparticle agglomerate within the single cell was used to reconstruct only the nanoparticle agglomerate (see Figures 5 and 6). Fig. 5 reveals a larger nanoparticle agglomerate (see I in Fig. 5) within a single cell, which is surrounded by smaller nanoparticle agglomerates (see II in Fig. 5).