Sentence examples for method by showing from inspiring English sources

In this Letter we expand this method by showing its applicability for correcting geometrical aberrations of an imaging lens.

Simulation results demonstrate the efficacy of the proposed method by showing satisfactory nominal and robust performances.

The aim is to verify the real applicability of the method by showing its simplicity and effectiveness in a concrete case, also in comparison with well-known rules used for tuning integer order PI.

The induction time values of all biodiesel samples determined using the proposed method was in accordance with those measured through the Rancimat® reference method by showing a R2 = 0.998.

This point was fully demonstrated by Co2+ and Co3+-incorporated NiFe-LDH nanosheets made by a co-precipitation method, by showing OER onset overpotential of 249 mV for Co3+-doped NiFe-LDH, 264 mV for Co2+-doped NiFe-LDH, which are 33 mV and 18 mV lower than that of pristine NiFe-LDH (282 mV), respectively.

We demonstrated the method by showing the results of a model that has enabled us to accurately quantify branching levels in polyolefins within ±0.5/1000 total carbons (i.e. ca. 0.1 mol%) in samples with relatively low levels of SCB (i.e. <10 SCB/total carbons) and mixed branch types.

This figure compares between both anonymization methods, by showing each algorithm's dependency on UDF.

Next, we demonstrate our methods by showing how they can easily calculate PSFs for complicated optical systems that contain multiple refractive and/or reflective interfaces.

We demonstrate the utility of the proposed methods by showing they outperform several standard techniques for the task of inferring the sentiment of online movie and consumer product reviews.

With respect to the cluster qualities, SEED performs consistently better than the other methods by showing the highest Jaccard index values relative to the true clusters.

Since MutaCYP appears orthogonal to other evaluated methods by showing only moderate correlation in raw prediction scores, there is possibility in improvement of overall prediction by combining two or more methods in a consensus-based classifier.