Sentence examples for measurements we propose from inspiring English sources

On the basis of the obtained results from the XPS and PL measurements, we propose a mechanism in understanding and explaining the photon-induced light emission from CQDs.

In order to attenuate such background noise during medium-energy (5 83 keV) electron measurements, we propose the double energy analyses (DEA) method.

Finally, in order to precisely determine the anisotropic magnetoresistance ratio of NiCo CNW networks from simple magneto-transport measurements, we propose a model that considers the spatial arrangement of NWs in the 3D network.

Building on results that guarantee stable embeddings of manifolds under random measurements, we propose a "manifold lifting" algorithm for recovering the ensemble that can operate even without knowledge of the camera positions.

Using graphic computation based on those measurements, we propose a hypothetical model that suggests that the three portions of the PFR are rearranged, undergoing a dynamic remodeling during flagellar beating.

Based on supervised learning and similarity measurements, we propose a Recursive Feature Addition (RFA), recursively employ supervised learning to obtain the highest training accuracy and add a subsequent gene based on the similarity between the chosen features and the candidates to minimize the redundancy within the feature set.

Instead of using Monte Carlo simulations or empirical measurements, we proposed a numerical method to easily compute the ergodic capacity in a fast-fading environment.

In order to effectively fuse these different types of measurements, we proposed a Multi-scale Multi-rate Adaptive Sampling approach with a parametric description of the field[6].

Based on NMR studies and particle surface charge measurements, we proposed that hydrophobic domain of RV24 interacts with β-sheet structures of the proteins, followed by formation of "peptide cage" to facilitate delivery across cellular membrane.

In this paper, the testability measurement we propose counts the number and the complexity of interactions that must be covered during testing.

The measurement we propose does not solve the issue of robustness, but it helps anticipate what bad things can happen at the architecture level, and in turn, helps to make sure that the system can recover.