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The stem cell reconstitution model we have used, similar to an elegant but more difficult model of McCullagh [ 49], should be a fruitful tool to determine which factors are able to prevent the establishment of self tolerance to particular tissues.
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Indeed, one of the most important advantages of using the lingual straight wire technique is that sliding mechanics enable extraction spaces to be closed without the need for difficult modelling of the closing loop used in non-frictional extraction space closure [3, 5].
However, the most important impact (and the most difficult to model) of composite traffic may come from the increased degree of freedom in urban policy-making and planning, and public health policy, when the pressures associated with increased private car use and traffic are relieved without impairing the ability of people to travel rapidly about the city.
Interpreting this pattern in isolation has proven difficult because models of both positive and negative selection can, in principle, produce this correlation.
However, inferring reconnection of diverged populations after isolation remains difficult, as models of past isolation with recent contact are challenging to distinguish from models of ancient population separation with a continuous exchange of migrants.
Incorporating these explanations is difficult without a model of how each may contribute to the wage densities of individuals.
However, QTL mapping of reaction norms is difficult to model because of the inherent complexity in the interplay of a multitude of factors involved.
CONSIDER, in these economically difficult times, that inspiring model of creative home design, the college student.
But, sometimes it would be really difficult to obtain mathematical model of system.
That trend would prove both costly for cloud data giants and difficult, upending the established model of cloud data storage that optimizes for efficiency rather than carefully sorting out what data is stored within the borders of which country.
Because of the complex dynamics of discrete event systems (DESs), it is very difficult to obtain a model of unknown DESs from given input and output data.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com