Sentence examples for use small numbers of from inspiring English sources
British troops deployed in large numbers in the spring of 2006, but made the mistake of trying to use small numbers of soldiers to protect district towns.
Glassman and Guttag [19] presented another method that uses recursive feature elimination to design patient-specific SVM detectors that use small numbers of electrodes.
The final models use small numbers of descriptors which helps with model transparency and facilitates mechanistic interpretation, as required by OECD principles 2 and 5. Indeed, the number of descriptors ranged from only 2 descriptors for KOA to 16 descriptors for MP, with an average of about 10 descriptors.
Although it is possible to use small numbers of genotypes to analyze LD in crop plants (Mather et al. 2007), this has been shown to result in higher r estimates (Bouchet et al. 2012).
The results presented here show how investigators conducting genetic association studies can use small numbers of arbitrarily chosen SNPs to identify stratification in study subjects and avoid false positive genotype-phenotype associations.
For each chemical, we searched for studies using a biomarker of exposure on occupationally or environmentally exposed populations or the general population, as well as recent (since 2000) studies of biomarker method development, which might use small numbers of human or animal samples.
By increasing the power of studies it is possible to use smaller numbers of patients.
Like Silverjet, most operators are using small numbers of older planes, which are often leased.
Given the fact that most special operations take place in denied or hostile territory, using small numbers of personnel in comparison with the enemy, the risk associated with tactical failure can be death for those involved.
The sensitivity of binary PET-AS and clustering using small numbers of clusters dropped for highly heterogeneous spheres.
They demonstrate that the proposed approach can attain complex topological details using small numbers of decision variables at relatively low computational costs.
