Figure 18 definition
Figure 18. Warning dialog when specified project already exists
Figure 18. Nights spent in tourist accommodations (NUTS2, data: Eurostat, 2013) Average trip expenditure (in %) GDP per capita (in EUR) Figure 19: Average expenditure per trip by country (data: Eurostat, 2014 b)
Figure 18. Radar plots of average scores for subdomains of Accountability by hospital. Scores below the cut-off for sustainability (2) are highlighted in red. Apam Water Quality, Chlorine Residual Water Quality, Microbial Water Source and Availability 4 3 2 1 0 Local Access to Replacement Parts Current Infastructure Kete Krachi Water Quality, Chlorine Residual Water Quality, Microbial Water Source and Availability 4 3 2 1 0 Local Access to Replacement Parts Current Infastructure Axim Water Quality, Chlorine Residual Water Quality, Microbial Water Source and Availability 4 3 2 1 0 Local Access to Replacement Parts Current Infastructure Kintampo Water Quality, Chlorine Residual Water Quality, Microbial Water Source and Availability 4 3 2 1 0 Local Access to Replacement Parts Current Infastructure Mampong Water Quality, Chlorine Residual Water Quality, Microbial Water Source and Availability 4 3 2 1 0 Local Access to Replacement Parts Current Infastructure Bole Water Source and Availability 4 3 2 1 0 Water Local Access Quality, to Chlorine Replacement Residual Parts Water Quality, Microbial Current Infastructure Figure 19: Radar plots of average scores for subdomains of Technical Feasibility by hospital. Subdomain scores below the cut-off for sustainability (2) are highlighted in red. Apam Repairs Limiting System Downtime Organizational Structure 4 3 2 1 0 Maintenance Communicatio n Training and Capacity Strengthening Kete Krachi Repairs Limiting System Downtime Organizational Structure 4 3 2 1 0 Maintenance Communicatio n Training and Capacity Strengthening Axim Repairs Limiting System Downtime Organizational Structure 4 3 2 1 0 Maintenance Communicatio n Training and Capacity Strengthening Kintampo Repairs Limiting System Downtime Organizational Structure 4 3 2 1 0 Maintenance Communicatio n Training and Capacity Strengthening Mampong Repairs Limiting System Downtime Organizational Structure 4 3 2 1 0 Maintenance Communicatio n Training and Capacity Strengthening Bole Repairs Limiting System Downtime Organizational Structure 4 3 2 1 0 Maintenance Communicatio n Training and Capacity Strengthening Figure 20: Radar plots of average scores for subdomains of On-site Capacity by hospital. Subdomain scores below the cut-off for sustainability (2) are highlighted in red. Awareness Maintenance Director Satisfaction 1 0 Educational Messaging Awareness Maintenance Director Satisfaction 1 0 Educational Messaging Awareness Maintenance Director Satisfaction 1 0 Educational Messagi...
Examples of Figure 18 in a sentence
Among inorganic PDT photosensitizers the water-soluble palladium porphyrin complex, Padeliporfin (WST11), developed by ▇▇▇▇▇▇ and ▇▇▇▇▇▇▇, is the only compound clinically tested and even approved in some countries (Figure 1.8, left).50 Phase II clinical trials demonstrated that 4 mg/kg WST11, and light doses of 200 ▇.▇▇−1 (λirr = 753 nm), are the optimal treatment conditions for patients with localized low-risk prostate cancer.
More Definitions of Figure 18
Figure 18. Interpreted section of sub-bottom profile 514, transecting Resource Area 3 (See Figure 8 for line location). The image shows the north end of the sub-bottom profile towards the right. Changes in depositional environments and unconformities are labeled and delineated. See text for detailed descriptions. Depth is reported in meters below sea surface with an assumed sound velocity of 1524 m s-1. Figure 19: Interpreted section of sub-bottom profile 213, transecting Resource Area 1 (See Figure 7 for line location). The image shows the north end of the sub-bottom profile towards the right. Changes in depositional environments and unconformities are labeled and delineated. See text for detailed descriptions. Depth is reported in meters below sea surface with an assumed sound velocity of 1524 m s-1 Figure 21. Interpreted section of sub-bottom profile 506, transecting Resource Area 4 (See Figure 8 for line location). The image shows the north end of the sub-bottom profile towards the right. Changes in depositional environments and unconformities are labeled and delineated. See text for detailed descriptions. Depth is reported in meters below sea surface with an assumed sound velocity of 1524 m s-1.
Figure 18. Whole body exposure: Plot of 95% CIs (grey lines), geometric means (red lines) and medians (black dashed lines) for the log10(model outputs) with the log10(measured potential dermal exposure (body)*) (blue circles=aerial, purple squares=boom sprayer, red diamonds=broadcast sprayer, orange crosses=hand-held sprayers) (all M&L periods combined) * including data sets which have model inputs that were imputed log10(Potential dermal exposure (µg/body)) 0.01 0.0010 20 40 60 80 100 120 140 160
Figure 18. Adaptability results: changing site quality (decision making) 57 Figure 19: Variability in results for logistics use-case 60 Introduction Awareness in artificial systems has the potential to make them easier to monitor, control, and more effective at their tasks. Understanding awareness, and engineering for awareness, requires us to have impartial metrics that can measure changes in behaviour based on different dimensions of awareness. In this deliverable we define methods to measure performance of a system based on its dimensions of awareness. We then show the framework could be used across use-cases present in the project, from soft robots and networks to swarm robotics and natural systems. Awareness cannot be measured directly: we introduce the terminology involved in the study of awareness, which together will allow us to evaluate awareness in a given context for any system. The main concepts in this study are: ● Dimensions of awareness ● Capacities and mechanisms ● Performance metrics ● Evaluation tasks In the rest of this section, we explain each concept and explain their relevance and relation to each other. The conceptual structure will give us a concrete approach to implement a measure of awareness in real-world use-case studies. State-of-the-art There is no standard approach to, or indeed existing framework for, the measurement of awareness across heterogeneous systems to the best of our knowledge. However, there exist measures for other qualities and traits of the various systems which we are interested in, discussed briefly in the following: ● Animal systems For the animal literature there is an existing framework for comparing and measuring animal consciousness, across different species - which allows the species to vary across many dimensions. ▇▇▇▇▇ et al (2020) [11] formulated this specifically with phenomenal consciousness in mind (subjective experience), not awareness as defined in this project. They pick up on the following dimensions: perceptual richness, evaluative richness, integration at a time, and across time, and self-consciousness. The dimensions are not expected to be uncorrelated, but are conceptually distinct from each other. Birch et al. propose investigating these dimensions by applying existing experimental paradigms such as mirror-mark, or trace conditioning paradigms. As awareness is distinct from consciousness, the dimensions under investigation will not map from this existing framework by ▇▇▇▇▇ et al. unto the one propos...
Figure 18. A PRELIMINARY SET OF THEMES FOR PROVIDING CLIMATE SERVICES IN TOURISM (DAMM ET AL. 2017) Adaptation strategies
Figure 18. A PASS Report for a Pilot
Figure 18. The helper functions for consistency and correctness.
Figure 18. Showing the second potential version of the Jordan case study SDM.