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Current researches on energy saving devices (ESDs) have been conducted in model scale after which the corresponding full scale characteristics are determined through extrapolation.
To address these interactions, a series of experiments spanning several years have been conducted in model distribution systems at the Center for Biofilm Engineering (CBE) using soil-derived humics.
Studies searching for the underlying genetic controls for such variation have been conducted in model organisms and humans in recent years.
In recent years, studies searching for association between genetic markers and quantitative gene expression profiling, referred to as genetical genomics [6], have been conducted in model organisms and humans (reviewed in [7], [8]).
Several forward genetic screens have been conducted in model organisms or cells to identify proteins important in lipid droplet metabolism and have surprisingly revealed that more than 1% of genes in eukaryotic genomes are involved in lipid droplet biology [9], [10], [11].
Currently, most mechanistic studies of HCM have been conducted in model systems, including transgenic and gene-targeted mice.
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While significant research has been conducted in model-based and data-driven prognostics, there has been little research reported on the RUL prediction using an ensemble learning method that combines prediction results from multiple learning algorithms.
Although most theoretical and experimental studies on concerted evolution of rDNA family were conducted in model organisms such as yeast, Drosophila, and mice as well as in humans [ 1], non-traditional model system can provide cleaner evidence for the mechanisms involved in sequence homogenization, as demonstrated here with the scallops.
It was found that when pore-scale SAGD tests were conducted in models with the same thermal properties and bitumen type, the net CSOR values are proportional to the square root of kinematic oil viscosity at the steam temperature and are also inversely proportional to the square root of porosity multiplied by permeability assuming that all other experimental variables remain unchanged.
We suggest that experimental sepsis studies should be conducted in models that are metabolically more similar to the clinical situation.
It must be stressed that these studies were conducted in models using cell lines that may not be representative of the disease.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com