Sentence examples for a clear observation from inspiring English sources

However, a clear observation is that the RPD is least in the proximity of aquifer drain interfaces, and decreases as λ decreases.

This operation enables a clear observation of the impedance in the microchannel solution, including the bulk solution contribution and the interfacial capacitance related to the surface roughness of the photoablated microchannel.

However, a rather closely packed multiple Fermi pockets in a narrow momentum region near (varGamma) [131] and the Fermi arc being slightly above (E_mathrm{F}) [128] hinder a clear observation of various pockets and arcs.

The demarcation of cell growth and oil micro-droplets dot-plot areas on the basis of FSF/SSC parameters allowed a clear observation the evolution of cells' growth and cells' lipid assimilation.

We find that the high curvature in sub-nm SWCNTs leads to (i) an unusual S-like dispersion of the G-band frequency due to perturbations caused by the strong electron phonon coupling, (ii) an activation of diameter-selective intermediate frequency modes that are as intense as the radial breathing modes (RBMs), and (iii) a clear observation of the IR modes.

The TEM is used for a clear observation in details as shown in Figure 2. The left of Figure 2 is a low-magnitude image, and the average grain size is estimated as approximately 7 nm which also quite agrees with the XRD estimation.

On the other hand, longitudinal imaging of a single mouse removes that intersubject variability and may allow for a clearer observation e.g. of radiotracer kinetics [29].

Nevertheless, T2-edited spectra (Fig. 1c) allowed a clearer observation of singlets and multiplets of relatively fast-moving molecules, such as carbohydrates, organic acids, and nitrogen-containing compounds.

For a clearer observation of the secondary conformation of the aged silk samples from B. mori, the region corresponding to the amide III was analysed in detail (Fig.  4d).

Experimental samples from each platform were analyzed by principal components analysis (PCA) (Fig.  3), which reduced the dimensionality of the data and allowed a clearer observation of the underlying structure.

Specifically, we tested the usefulness of seasonal image composites (spring, summer, fall, and winter) and a range of image metrics (e.g., mean and median reflectance across all clear observations) to map nine land-cover classes with a Random Forest classifier.