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This approach is an extension of the energy-minimization method originally used by Holy et al. to explain experiments on microtubule asters in flat, rigid chambers [17].
It can be used to guide and explain experiments, as well as for prediction of proteins whose structure, in particular for membrane proteins, for the most part is unknown (∼0.5% membrane protein in the Protein Data Bank ∼25% in most genomes).
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As this week's Free exchange column explains, experiments with behavioural nudges are beginning to bear fruit The Nudge Unit has been running dozens of experiments and the early results have been promising.
Each loading case is first explained, experiments or case-studies are briefly described, and computational analytical modeling is reviewed; finally, efforts towards improving design are mentioned.
In the past, scenarios had been discussed in which attractive interactions favored transport [5], [10], [12], [26], [28], explaining experiments e.g. for DNA [1] and nuclear pore transport [4].
From the explained experiment the result was quite interesting which showed among all the concentration of essential oil, 1.5% showed maximum effect on hyperglycemia with a rapid approach to normalize high blood glucose level and also other biochemical parameters.
Therefore, we selected the 1638 most important n-grams, this is the number of n-grams occur over all the period (1991 2012) considered in the experiments, as explained in "Experiments and results" section.
Many experiments have been conducted to measure electron impact excitation cross sections [2],[4]–[10] and theories were developed to explain the experiments [11] [13].
The following paragraphs explain the experiments in each scenario.
In the next paragraphs, we will explain these experiments.
In this section, we will explain our experiments in applying Deep Learning methods on the StockTwits dataset.
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CEO of Professional Science Editing for Scientists @ prosciediting.com