Assessing the assemblability is a vital task in this context.
A challenging task in this context is how to assess large-scale and long-term effects of GMO release in the approval procedure, in the planning of coexistence measures and in post-market monitoring regarding environmental as well as food monitoring.
A key task in this context is to determine the multiset of labels that should appear in the consensus tree.
One could refer to the task in this context as episodic-like, bearing in mind that declarative memory is believed to encompass conscious awareness (Eichenbaum 1999b) and acknowledging the difficulty of precisely ascertaining whether rodents engage in episodic memory formation (Suzuki 2003; Zentall 2006).
Other tasks mentioned in this context involved critically evaluating the reliability of historical sources, getting to know the linguistic conventions of a language, and integrating the various elements derived from historical sources into a consistent narrative of a particular epoch.
In general, it is not trivial to design compensating tasks for tasks in the context of a workflow.
We believe visual languages have great potential for data analysis and processing tasks in the context of Building Information Modeling.
Carrying out those tasks in the context of an urban scene is particularly challenging given the complex spatial pattern of its elements.
Many tasks in the context of data acquisition with a wireless sensor network, e.g. angular resampling or jitter compensation, can be solved by reconstructing a uniformly sampled signal from a nonuniformly sampled one.
This paper describes a method for the initial steps of interface design which incorporates both the UML and Lean Cuisine+ notations and provides a means of representing tasks in the context of the dialogue structure of the user interface.
