Examples of using New methods in English and their translations into Danish
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Official
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Financial
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Colloquial
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Medicine
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Ecclesiastic
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Official/political
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Computer
New methods of supporting the whole of European production in the context of an open market are therefore needed.
The fundamental question we should ask is whether the new methods and instruments proposed by the special services will be used effectively.
New methods in the design and manufacture of finished goods
This programme has alsoallowed new methods and new routeing concerning thediversion of this chemical to be identified,
The first to introduce Hilbert 's new methods into analysis in his textbook on integral equations.
it appears that the new methods superior to conventional treatments,
For Danish beaches, the new methods and quality standards will hardly influence the classification of areas of high hygienic quality;
The new methods mean that the research group can map landscapes
And at the university, we are always looking for new methods and new ways to better our work.
The new methods spread like rings in water,
Thus new methods are needed to boost Romania's progress in the coming months after the big bang.
For Danish beaches, the new methods and quality standards will hardly influence the classification of areas of high hygienic quality;
also includes new methods relating to those who supply the products which enable new drugs to be made.
In the following it is recommended how the new methods could be implemented in the LCA work in Denmark.
So that readers not familiar with the new methods would still be convinced of the correctness of his results.
New methods can detect whether or not a plant is organically grown.
We need new methods of retrieving the funds paid out illegally
The essence of TRIPs projects is to jointly develop new methods and not just to transfer experiences.
It is therefore necessary to find new methods to compress, send
New methods for compiling euro area statistics should be promoted which may deliver good results at euro area level, without overburdening the national statistical systems;