Figure 18. Warning dialog when specified project already exists To go to the next dialog of the wizard, you must press the “Next >” button. The wizard performs some validity checks before going on to the next dialog. When you decided to open an existing project you must have specified the path to the project file, otherwise a dialog appears and tells you to fill out all needed information. The same occurs if you select “Create a new project” and forget to fill in a text field from this section. If the quoted working directory does not exist the wizard tries to create it. Anyhow a problem can occur; for example if the drive letter is not valid as “X:\contract_wizard” on my hard disk. Figure 19 shows the warning dialog that the wizard shows after a directory creation error.
Figure 18. A PRELIMINARY SET OF THEMES FOR PROVIDING CLIMATE SERVICES IN TOURISM (DAMM ET AL. 2017) Tailored climate information (past / present / future) Human comfort: Tourism Climate Index (TCI) Physiological equivalent temperature (PET) etc. Tourism relevant climate indices: Number of hot days Temperature Precipitation Wind speed etc. Mitigation / Sustainable Tourism Guidelines for sustainable tourism (energy, food and beverages, waste management, mobility) Analysis of carbon and ecological footprint Risk assessment of diseases Projections of urban heat stress Adaptation strategies Forecasts/ projections of water levels in rivers (for water sports activities) Risk assessments of natural hazards and implications for tourism (e.g. permafrost degradation and rock fall, forest fire) Projections of water availability Assessment of natural attraction losses (e.g. glacier retreat, flora and fauna) Macroeconomic impacts of CC on tourism Monitoring of bathing conditions: Water quality Water temperature Climate-proofing of investments Actuarial evaluation: weather insurances for tourism operators, and e.g. money back – sunshine guarantees for tourists Assessment of changes in consumer behavior and tourism demand Tourism demand forecasts (visitor numbers, overnight stays) (Exposure / sensitivity / adaptive capacity ) Recreational activity recommendations based on weather forecast Monitoring of climate conditions & economic performance Assessment of snow reliability, snowmaking conditions and changes in skiing operations Early warning systems: avalanches , flooding, storms etc.
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 1e+07 log10(Potential dermal exposure (µg/body)) 1e+06 100000 10000 1000 100 10 1 0.1 0.01 0.0010 20 40 60 80 100 120 140 160 Index
Examples of Figure 18 in a sentence
These controls are shown in Figure 18: My Profile Button and My Profile Taskbar Option.2. Click the Manage MFA Devices link.
One interesting point is that the non-linear LDC for the quadratic law dips below zero at the shortest wavelengths, Figure 18.
Figure 17 is an example of a uniform resource locator (URL) with included portion mark and Figure 18 is an example of portion-marked URL embedded in text.
Specifically, one can learn more about the different gentrification/displacement typologies shown in Figure 18 at this link: https://www.urbandisplacement.org/sites/default/files/typology_sheet_2018_0.png.
Menopause is caused by a change in ovarian function rather than a change in the hormonal control system (Figure 1.8, above), which is evidenced by a rise in gonadotropin levels after menopause (see Figure 1.10).
More Definitions of Figure 18
Figure 18. Showing the second potential version of the Jordan case study SDM. With regard to abstractions from the system, domestic and industrial demand are considered in separate sub- models. However, their joint demand is abstracted from the Yarmouk River system, rather than from the KAC as defined by the local case study partner, NCARE. Therefore, the Yarmouk inflow to the KAC takes into account the abstractions for domestic and industrial use, and is reduced accordingly. This prevents the double-counting of this abstraction. The final abstraction is from the agricultural sector. Irrigation water is taken from the KAC, and thus its volume is reduced accordingly. The final model output defines how much water is left in the KAC once the total abstracted volume is deducted from the inputs from the Yarmouk and Xxxx Xxxxx systems and from waste-water reuse. Because of the extreme water scarcity in this region, it is expected for this number to be negative, implying over-abstraction and depletion of the resource.
Figure 18. A PASS Report for a Pilot The VCR (Vision, Clearance and Reach) result is for the best seat position for correspondent aircraft. And also the Green or Red highlighted background for the weight decision. The background weight color is green if within the weight range, or red if out of the weight range.
Figure 18. The helper functions for consistency and correctness. *members(c0, id, p˙, svk )
Figure 18. Nights spent in tourist accommodations (NUTS2, data: Eurostat, 2013) Figure 18 shows the number of nights spent on a NUTS 2 level for European countries. At first view, the Southern coastal regions are those where people spent the most nights as well as those NUTS 2 regions of the European capitals. This data gives a good indication as to where people are travelling and which areas are rather neglected considering tourism flows. Furthermore, for the derivation of passenger profiles it is important to understand in which regions travellers spend their vacation and which regions are visited for business purposes. Traffic flows between regions and countries, especially in terms of air transport, will be outlined in more detail further below. 100% Avg. expenditure transportation Avg. expenditure accomodation Other expenditure GDP per capita 100,000 90% 90,000 80% 80,000 Average trip expenditure (in %) 70% 70,000 GDP per capita (in EUR) 60% 60,000 50% 50,000 40% 40,000 30% 30,000 20% 20,000 10% 10,000 0% 0 Figure 19: Average expenditure per trip by country (data: Eurostat, 2014 b) There seems to be a strong correlation between the GDP per capita and the absolute amount of transport costs by country, i.e. a higher GDP per capita implies a higher amount spent on transportation per trip. On average, travellers spend 30 per cent of their travel expenses on transport (Figure 19). Latvia has the highest share of expenditures spent on income with 40 per cent compared to Hungary with only 22 per cent.
Figure 18. Simple binding of a request to content node “Contact” (left) and HTML generation for web browser (right) With this concept, data (content) is separated from presentation. Administrators can create content that will have data only, not worrying about how that content will be presented. Content is saved in java standard repository that physically can be persisted in file system, any JDBC database, cluster or cloud. Designer will have easy access to all system variables and content properties. Each content node can have its own template for presentation, or node template can be selected based on node type. Complete look and feel can be changed without modifying content data. With OSGi plugins flexible extension, Chon CMS is ready base for implementation of any WCM feature: automated templates, access control, workflow management, collaboration, delegation, document management, version etc… How it works Chon CMS in its core deployment is simple web application that serves as OSGi plugin container. It uses apache Xxxxx for running the OSGi and dispatches all requests to bundles that have request service listeners. Chon CMS comes with few plugins that serve and manage simple content; core plugin have one service listener that process the request based on resource type (see Figure 2) Figure 2: Diagram for request/response pipeline, center layer (node processing) is the most important part Each request to web application can go through one of 3 braches for processing, depending on existing resource:
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. Director Commitment to Sustainability Engagement of Hospital Director and Staff Awareness Maintenance Satisfaction Director Satisfaction 1 0 Educational Messaging Treated Water Accessible and Utilized Kete K...
Figure 18. Sources of Training Provision Used in Past 12 Months Base: Those who have provided training over the past year (226) Source: Training and Skills Needs Research, CITB NI / ConstructionSkills / PwC, February 2007