Sentence examples for methods as demonstrated from inspiring English sources

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The catalyst sample was also characterized by X-ray diffraction, scanning electron microscopy and Brunauer Emmett Teller (BET) surface area methods, as demonstrated in our previous work [2].

From a practical perspective, the proposed joint ML-based estimator leads to significant improvements in estimation accuracy compared to existing methods, as demonstrated by the simulation results in this section.

Nonpher yielded data of higher quality than both SAscore and DR methods, as demonstrated by a lower amount of false predictions and by better balance between sensitivity and specificity of Nonpher model.

Thus, a combination of polycondensation and free radical photopolymerization methods, as demonstrated in this study, could be used to synthesize polyurethane-based block copolymers with tailored chain lengths of different blocks suitable for biomedical applications.

In the analysis module, a novel graded B-spline finite element solution procedure is described, which gives orders of magnitude of better convergence rate in comparison with current methods, as demonstrated in several case studies.

LAMP performed better than PCR and parasitological methods as demonstrated by its higher detection rate.

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The doped graphene films can be formed by the all-wet process via the radical-assisted chemical doping method as demonstrated in this work.

Solar flare-induced perturbations in the amplitude (ΔA) of VLF transmissions were determined using the method as demonstrated in Figure 2.

Datasets of fitted values with different numbers of simulations are obtained using a similar method as demonstrated before (data not shown).

On the other hand, true delineation of the metastases region was obtained with the proposed method as demonstrated in Figure 9D. Figure 9 Segmentation evaluation through comparison to the state-of-the-art methods.

Knowledge gained from evaluating the design-space led to rapid development of a capable method as demonstrated through validation of the following parameters: specificity, accuracy, precision, linearity, limit of quantitation, limit of detection, and range.

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