Sentence examples for types and spectra from inspiring English sources

Exact(1)

Furthermore, although the p53 mutations were detected in lung tumors from both smokers and never-smokers, the mutation types and spectra were different between the two groups of lung cancer patients [ 3, 8].

Similar(59)

The predictions were compared to the results of five fatigue tests per coupon type and spectrum.

While the model had been previously proven successful for a number of material types and load spectra, in the present investigation the software demonstrated the ability to outperform the software package currently used for fatigue life prediction in the F-18 Hornet fighter aircraft during testing with component geometries, materials and load spectra all characteristic of the aircraft itself.

His174Ala showed a different reduction pattern compared to that of wild-type BBE, and spectra recorded during the reduction of this variant are shown in Figure 3.

Kosinski, who earned his PhD in psychology from the University of Cambridge in 2014 and then spent a year as a postdoctoral scholar in Stanford's Computer Science Department, was surprised to find such a clear relationship between personality types and this spectrum of musical preference.

Spectra were recorded from three different sub-samples per sample type, and all spectra were corrected according to the standard normal variate (SNV) method [ 41].

When compared with the wild-type and D154A spectra, it is apparent that the changes in the I151A spectrum arise from a loss of intensity from all the major bands apart from that at 420 nm.

Two representative esk1 null mutants were analyzed and a Student's t-test was performed, corresponding to the differences between wild type and esk1 spectra.

The TP53 somatic mutations were aggregated, their spectrum was reported as specific for the given cancer type, and this spectrum was then compared to mutations generated experimentally in in vitro or in vivo systems [ 11,13].

The two final types are the 600 and Spectra models, which are easier to find.

Topics include the hydrologic cycle, relevant sensor types and the electromagnetic spectrum, active/passive microwave remote sensing (snow, soil moisture, canopy water content, rainfall), thermal sensing of evapotranspiration, gravity and hyperspectral methods, as well as an introduction to data assimilation and calibration/validation approaches for hydrologic variables.

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