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In this paper, we describe the large-scale experimental validation of the FINDSITEcomb VLS methodology and demonstrate that the approach is applicable to a wide variety of proteins.
These empirical studies illustrate the effectiveness of the proposed early warning methodology and demonstrate the significant predictive power of meso-scale network metrics for social diffusion processes.
We present the methodology and demonstrate its feasibility by the correct prediction of the laminar burning velocity of ethanol.
We also extend our methodology and demonstrate how to analyze trajectories that are not in protein numbers but in arbitrary fluorescence units, a more typical condition in experiments.
In this paper, we describe this needed methodology and demonstrate the ability of TRASE to Fourier encode in an inhomogeneous field (ΔB0/B0 ∼ 1% over the full FOV).
The ConPCKM is then applied in selected case study of a construction building project in Taiwan to verify the proposed methodology and demonstrate the effectiveness of sharing knowledge.
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Laboratory experiments were designed and carried out, validating the proposed methodology and demonstrating the prototype system of 4D-PosCon.
This paper provides generalized fuzzy-stochastic risk-based decision analysis methodology and demonstrates fuzzy set quantification of MOB subjective information.
Activated carbons (ACs) are successfully synthesized from corncob by a simple chemical activation methodology and demonstrated as novel, suitable electrode materials for electric double-layer capacitors (EDLCs).
We have applied this methodology and demonstrated the use of this tool in creating a multiuse PFT data mart.
In this regard, Rocktaeschel and coworkers [ 9] recently examined the acid base status of ARF patients using the Stewart Figge methodology and demonstrated several features.
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