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To tackle with this issue, the pillared and double-faced polyaniline (PANI) nanocone arrays induced by graphene oxide (GO) (PANI/GO) are configured through in-situ polymerization, and the electrochemical behavior as the low-cost CE for DSSCs is revealed.
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Each PE is configured through a configuration memory, which is organized as a circular buffer.
Moreover, each ASIP is configured through a configuration memory ⑤ which contains all parameters required to perform the initialization of the ASIP.
The entire platform is configured through a bus-based configuration infrastructure that implements unicast, multi-cast, and broadcast mechanisms.
The repository of instance configuration scripts allows instances to be configured through declaring desired options rather than scripting.
Bridging and LACP will be configured through puppet, but these intructions should serve as background and to help debug.
The proposed system is based on a mixed system consisting of one standard x86 processor which is configured through Simulink and a reconfigurable application specific integrated circuit (an FPGA) configured either by relevant FPGA design tools or by Simulink.
The software simulator is configured through two option files.
The proposed module is configured through a set of Ethernet-accessible registers.
ANN is configured through a learning process for a specific application, such as pattern recognition.
Cyclic data flows can be configured through the looping of instructions in the memory.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com