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By applying stochastic shortest path method, we showed that it is intractable to make optimal coding decisions in the presence of random packet erasures.
In a further development of this method, we showed that it is also possible to grow fibers between nanoscale metal structures that can guide the nanofiber growth [23].
Using the horseradish peroxidase-tagged streptavidin biotin method, we showed that artemisinin could specifically bind to candidate target proteins of approximately 60, 40, and 39 kDa.
Using this method, we showed that nine-day-old guppies can significantly discriminate two geometric figures (a triangle from a circle) after only twelve reinforced trials.
By using the proposed sparse adaptation method, we showed that less data storage for SA models can be obtained with almost no loss of phone recognition performance than the SMAP adaptation method.
Using our input coding based primarily on RNA structure thermodynamic parameters and cross-validation method, we showed that our neural network models outperformed most other methods and are comparable to the best predicting algorithm thus far published.
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Through experimental and finite element method, we show high energy absorption capability of pc-composite.
Finally, by comparing with Matsen Schick's method, we show some advantages of our method.
By combining the SI removal and the LALP method, we show that the SI can be sufficiently suppressed.
Secondly, by the regularity lifting method, we show the boundedness of each component of the solution triple.
To validate the method, we show simulation results from force distribution and robotic experiments in various environments.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com