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The third problem is the application of data analysis to genetics and medical imaging data.
A possible remedy for this problem is the application of corrosion inhibitors.
A practical strategy for facing this problem is the application of machine learning techniques.
A cost-effective solution to this problem is the application of parallel discrete-event simulation (PDES) algorithms on a distributed memory platform such as a cluster of workstations.
In reversed phase-liquid chromatography, the usual solution to the "general elution problem" is the application of gradient elution with programmed changes of organic solvent (or other properties).
A current useful and efficient way to alleviate the burden of the nonconvex MINLP gas problem is the application of mixed integer linear programming techniques for piecewise linearization.
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One possibility to circumvent these problems is the application of targeted proteomic approaches, such as selected reaction monitoring (SRM; also referred to as MRM for 'multiple reaction monitoring').
Part of the problem is the application process, which can take up to three weeks to complete -- far too long for a business on the brink.
Other problems are the application of the modification technique to membrane preparation, the investigation of morphology and functional properties of the composite materials, the testing of the membranes in the process of desalination of crude glycerol.
For me the problem is the applications and forms of the insurance carrier.
A solution to this problem would be the application of an appropriate selection model (e.g., a Heckman selection model).
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