Sentence examples for basic methods that from inspiring English sources

The landscape of genetic manipulation is vast, providing seemingly endless variations of basic methods that are easily adapted to determine specific roles of genes in vivo.

Although PCB/OCP analysis is a mature area within environmental analytical chemistry, with basic methods that have remained unchanged for the past 20 years, there have been many new technologies that have been gradually adopted and undoubtedly more will emerge in the future.

Detection of DNA sequences through hybridization between two complementary single strands is a basic method that is very often exploited at the DNA biosensor development[1].

This is to be used as a basic method that you build upon, learning from mistakes!

It seems to be as valid as any other out there and it's certainly an improvement on some of the more basic instrumental methods that have been used in the past.

The empirical results show that Q-learning lead to rescheduling solutions that are at least equivalent and often superior to those of several basic rescheduling methods that do not rely on learning agents.

In this chapter, we first summarize basic immunohistochemistry methods that are foundations for any advanced methods and showed data on the distribution of Sept6, Sept9, and Sept14 as examples.

The basic parametric methods that were considered were the Sliding-Window ESPRIT method and the Sliding-Window Prony method.

The authors, who have played a major role in developing basic testing methods that are effective in detecting chaos and other nonlinearities, provide a detailed exposition of empirical techniques for identifying evidence of chaos.

To pursue this goal, we will release a suite of basic NLP methods that can be used with BioC-formatted input data, such as sentence and token segmenters, part-of-speech tagging with MedPost and Stanford part-of-speech taggers, abbreviation definition detection in PubMed articles with several algorithms (44 46) and so forth.

We show that an eightfold speedup over optimised multithreaded CPU code can be obtained with the GPU using basic methods and that even very complex flow phenomena can be simulated with significant speedups without loss of accuracy.