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In a Grid computing system, many distributed scientific and engineering applications often require multi-institutional collaboration, large-scale resource sharing, wide-area communication, etc. Applications executing in such systems inevitably encounter different types of failures such as hardware failure, program failure, and storage failure.
Real world applications often require cooperation of multiple independent entities.
Dynamic applications often require ball screws with high preloading values.
AMS-14C applications often require the analysis of small samples.
Robotic applications often require robust tactile sensing capabilities on curved surfaces, such as artificial fingertips.
These applications often require that data be integrated dynamically from multiple information sources.
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Due to this macroscopic behavior, not present in traditional materials, shape-memory alloys are exploited in innovative applications, often requiring the use of design tools.
High performance communication support is a critical aspect for modern Grid environments where the deployment of data-intensive applications often requires moving Petabytes of data between geographically distant data repositories in specific time ranges.
Therefore, the design of reactors for a particular application often requires balance among different competing requirements.
A large-scale RFID application often requires a highly efficient database system in data processing.
Writing a successful grant application often requires preliminary data – in other words, you need to have already done a chunk of the research you're proposing to do.
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