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This paper reports the design and testing of a method to achieve the large scale sampling associated with the establishment of such a baseline, carried out within the remit of the EcoFINDERS project, and outlines points to consider when such a task is undertaken.
Fig. 1 Conceptual framework for large scale sampling in SE surveys (de Mello et al. 2014d).
The findings and lessons acquired in the replicated studies supported the organization of a conceptual framework for supporting large scale sampling in SE surveys as initially summarized in (de Mello et al. 2014d).
A conceptual framework for supporting large scale sampling in Software Engineering surveys has been organized after performing a set of experiences on designing such strategies and gathering evidence regarding their benefits.
A large scale sampling of B. tabaci was conducted from June 2009 to March 2010 to cover 14 provinces and 2 municipalities (hereon provinces) in east, central, south and southwest of China mainland (Fig. 1).
However, the lack of an inexpensive and high-throughput process for large scale sampling of biomass resources is still an important limiting factor.
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Large scale samples, where bulk properties are observed and edge effects minimized, have been tested.
Since it could be performed by non-clinical personnel, it may be well suited for large scale sample collection.
Further study in a large scale sample size is needed.
For large scale samples (1 2 ml), varying media and Fmoc dipeptide concentrations were tested.
The correlation between MET gene status and clinical outcomes for EGFR-TKI should be further evaluated using large scale samples.
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