Sentence examples for instructions generate from inspiring English sources

For example, although the reserved word Next or True might make a very descriptive variable name, the following instructions generate a syntax error: Next = 64; True = True.

In addition, this method adopts a random instruction generation algorithm which makes different software instructions generated by our solution, so that the software security can be improved greatly.

The content of the instructions generated by control box is modified.

The custom instructions generated with reusable structures were implemented in FPGA and it is evident that up to 14% area savings with comparable performance can be achieved when compared with conventional implementation approaches.

The power profiler in the work of Nikolaidis et al. [23] receives as input the trace file of executed assembly instructions, generated by an appropriate processor simulator, and estimates the base and interinstruction energy cost of the executed program taking into account the energy sensitive factors as well as the effect of pipeline stalls and flushes.

The DNA samples were processed according to Illumina instructions generating Nextera XT paired-end libraries (2 × 250 bp) which were sequenced using the Illumina MiSeq system at Yale Center for Genomic Analysis.

Third, physicians feel uncomfortable when they face regulations and instructions generated by a CDSS that advises them on what to do [ 28].

Total RNA samples extracted from M1 cells were processed according to Illumina instructions generating libraries of 50-bp single reads, which were sequenced by Illumina GAIIx platform at BaseClear (the Netherlands), resulting in three data sets from M1 cells grown in lactate medium and three data sets from M1 cells grown in β-myrcene medium, which ranged from 20 million to 56 million reads.

We note that there were the inevitable teething problems associated with the transition to online instruction, and we hope to see learning gains improve over the coming years as the online materials are refined in the light of the abundant data that online instruction generates.

A post-processor then runs through these instructions to generate the segment identities.

Experiments 1 and 2 found that levels of false recognition with both list types were increased by manipulations that facilitated the generation of associates at study (blocked presentation of study lists and explicit instructions to generate associates of studied items).