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Many applications need executing iterative algorithms on incremental data.
Many applications need to be updated or extended with new characteristics during their lifecycle.
Many applications need fast and efficient mixing of the sample and reagent with high throughput in a microfluidic channel.
However, it is possible to avoid the performance issues of fully homomorphic schemes while preserving some of their functionality, since many applications need only some kind of operations, what can be done by a "somewhat" homomorphic scheme [27].
Many applications need online prediction models which can evolve automatically with data distribution drift and algorithms which can support single-pass processing of data, which are still faced with many challenges.
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This is because many Web applications need to deal with persistent objects that maintain data about their execution state.
The main motivation for the work is from the requirement that many UWB applications need to perform localization and communication using the same radio module [6, 28].
Today many DataGrid applications need to manage and process a very large amount of data distributed across multiple grid nodes and stored into heterogeneous databases.
Many technological applications need of differential models either for their microscopic or macroscopic description and, frequently, they involve non-linear equations.
On the other hand, commercial microcontrollers run at relatively slower speed, and many embedded system applications need random access of pixel values.
First, many of Tencent applications need to count exact statistics at any time point, like the Unique Visitor (UV) and Page View (PV) of a website or some monitoring data.
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