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This study shows the methodology for designing new atomically precise graphene nanoribbons with improved properties, their bottom-up synthesis, characterization, processing and implementation in electronic devices.
A multiplexation scheme was also proposed, together with device (sensor) structure, in order to create a system of low complexity at the level of processing and implementation.
We call upon SANC in collaboration with the National Department of Health, CHE [Council for Higher Education] and SAQA to fast-track the processing and implementation of the new Nursing Qualifications' Framework and appropriate transitional arrangements.
In April 2011, a national Nursing Summit was held where the following statement regarding the new Nursing Qualifications Framework was made (37): We call upon SANC in collaboration with the National Department of Health, CHE [Council for Higher Education] and SAQA to fast-track the processing and implementation of the new Nursing Qualifications' Framework and appropriate transitional arrangements.
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Data analysis was conducted offline using the Brain Vision Analyser software (v1.05, Brain Products) for pre-processing and implementation of the eye movement correction procedure [EMCP, 2].
These capabilities are being implemented on top of the Ptolemy signal processing algorithm and implementation environment from the University of California, Berkeley (see http://ptolemy.eecs.berkeley.edu).edu
Several mappings of commonly used signal processing algorithms and implementation results are given for a standard cell ASIC design realization in 0.18 μm 6-layer UMC CMOS technology.
We use hybrid address spaces for an implementation of MapReduce, a programming model for large-scale data processing, and the implementation of a remote memory access (RMA) model.
Furthermore, the concept of the on-board payload data processing and its implementation and possible applications are described.
Streaming aggregation is a fundamental operation in the area of stream processing and its implementation provides various challenges.
In view of the great potential in parallel processing and ready implementation via hardware, neural networks are now often employed to solve online nonlinear matrix equation problems.
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