Through simulations of two chemical processes, we show that the proposed method is able to provide fast recovery of state and parameter estimates from inaccurate initial guesses, leading to better estimation and control performance.
After an overview of the main hydrogen production processes, we show that water electrolysis among electrical methods, biomass gasification as being CO2 neutral among thermal methods, photo-electrochemical production among hybrid methods and bio-photolysis and photo-fermentation among biological methods makes hydrogen production "green".
As a further application of PPI-links and expression-links between processes we show that the probability of two S. cerevisiae genes to genetically interact is significantly increased once it is known that the two genes participate in PPI-linked processes or expression-linked processes.
Using an array of high resolution assays to characterize a variety of discrete developmental processes, we show that the Macondo oil does not cause general and wide-spread toxicity but rather disrupts specific developmental processes, some of which have never been reported previously for any crude oil source.
To demonstrate the capability of our device to characterize fast biological processes, we show that the temporal response of epinephrine-induced activation and subsequent internalization of β2-adrenergic receptor (β2-AR), a prototypic G-protein coupled receptor (GPCR), can be monitored in live cells by precisely controlling the duration of stimulation.
By dissecting the evolutionary process, we showed that the screening of immigrant alleles due to assortative mating triggers shifts in the genetic values of populations.
In the process, we showed that NCF of MI-GRAAL isuperioror to that of IsoRankN, and importantly, we proposed the combination of MI-GRAAL's NCF and IsoRankN's AS as a new superior method for multiple GNA, i.e., for GNA of more than two networks at a time [ 2, 3].
Continuing in this process, we show that.
energy arrival process, we show the optimal solution can be obtained by solving a linear programming problem.
To efficiently describe the proposed MSA process, we show two types of examples using an algorithm and a figure.
