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Its atypical make-up - namely the extra screens and combination of numerous different player inputs - means that applying established game design models and technologies to the platform could be deemed a tough job.

As indicated by [8], this means that applying the structural control framework to any system in which individual dynamics are required to satisfactorily model the system would produce spurious, naive or misleading results.

This means that applying the COP method to bootstrap data that carries little if any significant information regarding future portfolio allocation leads to only a very small number of higher Sharpe ratios.

However, the rapid pace of technological development means that applying theoretical guidance in this domain is challenging.

It means that applying normal saline on the WMTA could not significantly affect the microhardness value of the material (P = 0.34)).

It means that applying normal saline on WMTA could not significantly affect the push bond strength value of the material (P = 0.41)).

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Similar(53)

This means that applied toxicological test systems have to demonstrate their robustness, significance and relevance: in vivo relevance must be defined for in vitro test systems, and for animal models the relevance of the research results for humans must be established.

The absence of the captain, Sean O'Loughlin, with the thigh injury he suffered at Old Trafford means that applies to only the four Wigan players selected by Steve McNamara for the opener, with the Grand Final winners St Helens not represented in the squad.

That means that applied research experts would help make funding decisions for basic research, says Richard Zare, a physical chemist at Stanford University in Palo Alto, California, who has done research with AFOSR funding in the past.

But current agriculture practices, in which many American feedlots have 100,000 cattle or more, mean that applying the usual response to such diseases would be traumatic, Mr. Breeze said.

The fact that the Pre-diagnosis data was a subset of the full dataset meant that applying the All-data model to Pre-diagnosis observations would have artificially inflated accuracy, due to information leakage between training and test data.

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