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An awareness, and the application, of these methods can thereby enhance the scientific discovery process considerably.
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The method can thereby account for and, to some extent, resolve inconsistencies in researchers' conceptualizations of the target construct and in the outcomes they deem relevant.
Therefore, the problem can be solved using standard optimization methods and optimal can thereby be obtained.
While conceptually appealing, these methods can be difficult to implement thereby limiting their utility.
Thereby different machine learning methods can be utilized in the prediction or classification for synergistic drug combinations.
Availability of CAC services at all levels of the healthcare system, in particular the inclusion of medication methods, can increase access to safe abortion services, thereby reducing the financial, personnel, maternal and societal burden of unsafe abortion.
Results show that the proposed joint decoding methods can greatly reduce the number of iterations, and thereby reduce the decoding delay considerably.
These methods can decrease the amount of amorphous carbon effectively, thereby systematically changing the factors influencing the optimal synthesis for improving the film's electrical characteristics.
GIS methods can be used to model health service catchments, thereby highlighting the populations that have access to care.
Proper pretreatment methods can increase concentrations of fermentable sugars after enzymatic saccharification, thereby improving the efficiency of the whole process (Sarkar et al. 2012).
Classical optimization methods can at best find one solution in one simulation run, thereby making those methods inconvenient to solve multi-objective optimization problems (Deb 2001).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com