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This has been done through identifying the maximum flow between the candidate proteins P and disease genes G. Maximizing the flow from the candidate proteins to the resistance genes seems to be reasonable since understanding the efficient communications in the biological networks can be helpful to design treatment mechanisms for the problem of resistance in a systematic and rational way.
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Discussions will be focused on studying such systems in the infinite-size limit, on analyzing the emergence of phase transitions, and on understanding the behaviors of efficient algorithms.
By measuring how ultraversatile swifts morph their wings to double their gliding time or triple their turn rate, researchers have given both biologists and engineers a greater understanding the secrets of efficient flight.
His probabilistic approach, have sufficient data on the quality of the rock mass around the tunnel to, leads to better understanding the risks, more efficient geomechanical zoning and finally more reliable estimation of the costs.
Nevertheless, understanding the mechanisms governing efficient production of very complex proteins as functional entities still remains a major challenge.
For chemical antibiotics, an informed application of evolutionary and ecological concepts, both in theory and in practice, has proven valuable in understanding the determinants for efficient treatment and helps to provide guidelines for a sustainable drug use that minimizes the probability of resistance evolution.
We describe a new approach for understanding the difficulty of designing efficient learning algorithms.
Understanding the diffusion of energy-efficient technologies (EETs) and its determinants is a critical basis for designing policies that aim to improve energy efficiency.
Considering that monocytes have a vast regenerative potential, and since the excessive inflammation often observed after bone substitutes implantation limits their performance, our results might have great implications in terms of understanding the mechanisms leading to an efficient bone reconstruction.
The potential of esterases as enantioselective biocatalysts has enlarged in the last few years due to the progresses achieved in different areas, such as screening methodologies, overproduction of recombinant esterases, structural information useful for understanding the rational behind enantioselectivity, and efficient methods in protein engineering.
Due to the large quantity of data that are recorded in energy efficient buildings, understanding the behavior of various underlying operations has become a complex and challenging task.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com