Uncertainties Sample Clauses

Uncertainties. Assess the uncertainty and risks of failing to achieve and maintain the good status objective under various climate change scenarios.

Uncertainties. The next three years will present significant economic, political and financial uncertainty in the external environment facing the college and our partners. While these are outwith our control, it is critical that we continue to make a positive impact on the region. The wider political situation in Scotland, the UK and Europe over the next three years is already creating uncertainty. Although the impact, for example, of BREXIT and new arrangements for welfare reform and national bargaining are still largely unknown, such changes will present challenges for the college, our students, communities and employers. Therefore, to deliver this ambitious outcome agreement requires a significant increase in core funding. Financial challenges such as the introduction of a simplified funding model and changes to funding for extended learning support have the potential to put at risk support for students who need it most. For example, in 2015-16 a fifth of the college’s credit activity supported students with a declared disability and 20.5% supported students who lived in SIMD10 areas. Regionalisation is likely to remain high on the political agenda, in particular in relation to economic development and education. The outcomes of the consultation on governance arrangements in schools, as well as the review of enterprise and skills agencies, could have far-reaching consequences for schools, local authorities and national agencies. Changes arising from these reviews will require the college to be agile in how we work with national and local partners to ensure that people, communities and the economy in Ayrshire grow and develop through skills. Strategic Plan 2017-20 We will continue to be proactive to changes in the external environment and flexible in our approach to the delivery of learning and services to support our students. By working in collaboration with partners we will maximise the potential outcomes for our students. Our strategic goals for 2017-20 reflect this approach, and support Scottish Funding Council outcomes. These goals are:

Uncertainties. Cost analyses are marked by considerable uncertainty in the assumptions on the type of cost items to be included and the costs assigned to individual items. As an example we refer to the detailed cost analysis of a well to be used as an injector in the ROAD project, which amounted to €7.6 million, as mentioned in the close-out report on storage. The ROAD well cost, more than twice that assumed in this analysis, is for a specific well and is not necessarily representative of the costs for recompletion of offshore gas production ▇▇▇▇▇ for CO2 injection.

Uncertainties. The current uncertainties of the IAM module include but are not limited to: • The ability for each module to work directly with Keycloak as an authentication and authorization service

Uncertainties. Following are some elements that can be taken into consideration when discussing uncertainties in HIA. The first issue is to distinguish between the uncertainties that can be reduced using careful design, and the uncertainties that are inherent to the methodology and cannot be avoided. It is essential to communicate both types of uncertainties and do whatever is possible to reduce manageable uncertainties. Among the uncertainties that cannot be reduced is the key assumption that causality exists between exposure to air pollution and health outcomes. The number of cases attributable to air pollution can be estimated only if there are strong arguments for this causality as defined by Hill (Hill, 1965). In the case of air pollution, the most important arguments for this causality are: consistency of epidemiological findings reproduced over different geographic areas, periods and study designs; coherence of the observed effects; biological plausibility strengthened by clinical and toxicological studies; more recently the demonstration through intervention studies that changing the exposure causes a change in the outcome and the analogy found with cigarette smoking (▇▇▇▇, III et al.

Uncertainties. At the time of writing this deliverable, it is unclear what will be possible to offer in the EAR- light versions. It will depend on specific configurations for clouds and HPC centres. Anyway, we will automatically detect the limitations and we will offer application monitoring, system monitoring (if possible). and energy optimization (if possible). We assume application monitoring (for accounting) will be always possible with more or less details.

Uncertainties. At the time of writing this document uncertainties include, but are not limited to: • Terraform and Ansible playbooks could be automatically or manually run by HEROES Support / Admin Team to create Private Cloud Clusters. The on-premise deployment on HPC Centre could be manually run by HPC Centre admins, supported by the HEROES Support / Admin Team, to install the required components on their premises and perform prerequisite checks. On the other side the HEROES Runtime will be pushed by the HEROES platform whenever needed. • Which CSP platforms will be involved (initial target are AWS [1] and OCI [2]) • Configuration and type of communication channels between the HPC Centres Headnodes and the HEROES platform (aside from the assumed SSH channel) • Configuration and type of communication channels between the HPC Centres Headnodes and the public internet (e.g., to recover software from public repositories)

Uncertainties. The parties understand and acknowledge that there are uncertainties surrounding the business of the Company and the Company Products, including, but not limited to: (A) the ability to satisfactorily complete the design of the Company Products, (B) the clinical safety of the Company Products, (C) market acceptance of the Company Products, (D) competitive product offerings that may be introduced by third parties, and (E) Intellectual Property owned by third parties. As a result of such uncertainties, the parties agree and acknowledge that Buyer must have flexibility to react to future developments. Buyer is entitled to exercise its discretion with respect thereto subject, however, to the following provisions.

Uncertainties. As for any approach attempting a systematic evaluation of flood impacts and responses at large scale, there are a number of uncertainties emerging from the assumptions made and data used. These assumptions need to be kept in mind when interpreting the final results. The source, effect and brief explanation of these uncertainties are shown in Tab. 8. For a more general discussion on uncertainties, we refer to Sec. 4. We would like to highlight two major sources of uncertainty, namely (i) the maximum asset Figure 14: (a) Land cover, (b) inundation depth and (c) damages for the urban region of Bilbao. The flood depth and damage maps refer to the hypothetical occurrence of a 5 m flood, a value that is close to the 100-year event (Puertos del Estado 2005) in that region. value used to derive economic damages, and (ii) the effect of existing protective measures again flooding. Asset value has been taken from the work of ▇▇▇▇▇▇▇▇ (2007) and refer only to an average (European) economic value for each land-type investigated. Although the average value is then adjusted for countries on the grounds of their economic power, adjustments for spatial scales lower than national level are disregarded. This is relevant in the sense that we are working a the city scale, where disparities in economic performance to country averages are usually observed. Our approach neglects this, and sets a constant maximum value of assets (at the land-use level) for different urban clusters in the same country. Errors in the asset ▇▇▇▇▇ can therefore lead to a wrong scaling of damage functions for each cluster. The second source of uncertainty can be traced to the disregard of existing protective measures again flooding in our analysis. In the lack of a realistic global database of coastal protection, some studies made use of limited evidence on existing measures complemented with expert judgement (▇▇▇▇▇▇▇▇▇▇ et al. 2013). For the full set of urban clusters investigated such was not feasible. It was therefore assumed that no protective infrastructure exists. This leads to the unavoidable cascade of uncertainty, starting with an over estimation of the flood extent and depth, and propagating to the estimation of economic damages and estimation of protection needs. Despite these uncertainties, this work does constitute, to our knowledge, the first systematic derivation of monetary damage functions and protection needs with regard to coastal flooding for a large number of European cities. Table...