Paying attention to context is critical to establish a viable niche for informatics, modeling, and simulation as methodological species that add diversity and strength to the constantly evolving ecology of national security.
Further research should focus on testing additional variables and species, on further integration of newer radar and lidar remote sensing capabilities with multi-spectral sensors for quantifying forest and landscape multi-dimensional structure, and incorporating these in biodiversity informatics modeling.
Advances in Information Technology and in Biomedicine have created new uses for CAD with many novel and important biomedical applications, particularly tissue engineering in which CAD based bio-tissue informatics model provides critical information of tissue biological, biophysical, and biochemical properties for modeling, design, and fabrication of complex tissue substitutes.
The informatics model depicts the SPORE Head and Neck Neoplasm Database in the following layers: Schema layer -this consists of concrete data and data relations.
The Informatics Center has developed a flexible and evolving informatics model, which maintains an Oracle relational database using a 'minimal data set' to track subjects.
However, in the course of the investigation, a limitation to our informatics model became apparent: while the time required to upload images in this investigation was negligible, the fact that images must be uploaded manually would most likely preclude large-scale studies.
The NMVB database is based on an informatics model that aids in achieving semantic and syntectic interoperability by describing the common data elements in the form of metadata or data descriptors and by using a controlled vocabulary in order to make the data understandable and sharable for end-users.
The MVB database is based on an informatics model that aids in developing and conveying the semantic interoperability by describing the common data elements in the form of metadata or data descriptors (about the content, quality, condition, and other characteristics of the data) and by using a controlled vocabulary and ontology in order to make the data understandable and sharable for end-users.
Dr. Haller noted that informatics (data modeling, simulation, and analysis) also will have a significant role in making sense of the large amounts of high-dimension data now available.
