Small molecule bioactivities mapped to protein domains add important precision to approaches that use protein sequence searches alignments to assist applications in computational drug discovery and systems and chemical biology.
The complexity of developing and deploying context-aware pervasive-computing applications calls for distributed software infrastructures that assist applications to collect, aggregate, and disseminate contextual data.
These results have been implemented into an intelligent tool to assist the application of this research in industrial environments.
One limitation is that presently a technical assistant is required initially to help with preoperative data preparation and later in the operating theatre to assist with application launch and approximate spatial model positioning before involvement of the operating surgeon.
There arises a demand on the integration of recent knowledge management (KM), artificial intelligence technology with the conventional hydraulic algorithmic models in order to assist novice application users in selection and manipulation of various mathematical tools.
Due to the complexity of the numerical simulation of flow and/or water quality, there is an increasing demand for integration of recent knowledge management, artificial intelligence technology with the conventional hydraulic algorithmic models in order to assist novice application users in selection and manipulation of various mathematical tools.
To assist rapid application development, the symbolic equation systems can be exported as MathML documents (e.g. for computer algebra systems) and as MATLAB™-based fully functional labeling simulator.
Experimental correlations of heat transfer and pressure-drop coefficients for two scale-roughened pin-fin channels with forward and backward flows are derived to assist design applications.
Model predictions obtained by finite element simulations compared very well to the experimental data and therefore the model relevance for computer assisted application design was assessed.
High-throughput SNP arrays that will soon be available will open the way to large scale genome-wide association studies as well as to new marker assisted applications in pea.
