Pasadena, CA (Scicasts) – Every great structure, from the Empire State Building to the Golden Gate Bridge, depends on specific mechanical properties to remain strong and reliable.
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With the combining increasingly of the Geographic Information System (GIS), Remote Sensing (RS) technologies with the modern network communication technology, some unique advantages have been displaying in the monitoring, forewarning and disaster... Via Knapco 
Knapco's curator insight,
December 28, 2012 11:31 PM
RS and GIS technologies were used in processing of professional meteorological data like MODIS remote sensing images, the doppler radar echoes and the Meteoroloical Information Collecting, Analyzing and Processing System (MICAPS). The system is based on WebGIS and is convenient for the use of the agro-meteorological professionals, who use biological data and monitor weather diseaster events like spring frost, heal and drought. For some model crops some object-oriented user interfaces were developed with functions of the database management, data querying, map displaying, graphics rendering, spatial analysis, the professional data processing, information extraction, figure and table output. Read more.... Delete the scoop?
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Scientists at the California Institute of Technology (Caltech) have recently developed techniques for visualizing the behaviour of biological nanostructures in both space and time, allowing them to directly measure stiffness and map its variation throughout the network. Given that the behaviour of biological materials are partly determined by their structure (the arrangement of atoms in three dimensional space and how the structure changes over time) this type of visualization holds a huge amount of promise for revealing insights into biomaterials that were previously hidden. Knowing the mechanical properties of DNA structures is crucial to building sturdy biological networks and understanding subcellular structural formation. The researchers say that this type of visualization of biomechanics in space and time should be applicable to the study of other biological nanomaterials, including the abnormal protein assemblies that underlie diseases like Alzheimer's and Parkinson's disease. Click on the image or title to read the full article.