Sentence examples for and develops a robust from inspiring English sources

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The paper analyzes this situation, and develops a robust learning scheme to deal with the problem.

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Many advanced countries such as USA, China, UK, Germany, Japan and many others have since a decade ago initiated and developed a robust nanotechnology plan for their respective countries.

By getting better at networking and learning, we can increase clarity about how to actually do the practical side of this job as well as implement emotional support and develop a robust network that inspires and motivates each other.

Targeting high-tech parts like computer displays and semiconductors could help Brazil reduce its trade deficit in these products and develop a robust homegrown industry, said Virgilio Almeida, information technology secretary at the Ministry of Science and Technology.

With this background knowledge in mind, this paper proposes a novel workflow to evaluate LRP reservoirs and develop a robust model to unveil the reservoir potential.

This study was unique in scope and intent; the first of its kind to design and develop a robust approach for measuring learning outcomes of graduates worldwide.

The roles of catalyst, substrate, temperature, gas flow rates, reaction time with acetylene etc. were studied to identify and understand the key parameters and develop a robust, scalable process.

First, we consider the presence of constraints and uncertainty and develop a robust Lyapunov-based model predictive controller that enhances the set of initial conditions from which closed-loop stability is achieved.

We have overcome these challenges and developed a robust high throughput-compatible bioluminescence based assay that is amenable to siRNA based perturbation.

In order to develop a more sustainable biobased industrial production of succinate, it will be crucial to use low-cost substrates, especially nonfood feedstocks, and develop a robust strain capable of catalyzing these raw materials to produce succinate in good yields.

We use a large database of publicly available microarray datasets to build a random forests classifier and develop a robust multi-gene mRNA transcription-based predictor of relapse free survival at 10 years, which we call the Random Forests Relapse Score (RFRS).

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