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Advances in recent years have mitigated concerns that the lack of robust, usable tools has inhibited the adoption of methodologies based on semantics.
Although concerns have been expressed that the lack of robust, usable tools has inhibited the adoption of methodologies based on semantics, recent advances have mitigated those issues.
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Recent advances in the pricing of derivative securities, risk management, and information technology are forcing the rapid adoption of mathematical methodologies of an increasing degree of sophistication.
A hindrance towards the adoption of such methodologies is the need for a mathematical model tailored to each building which is capable of capturing all pertinent dynamics.
The increasing popularity of model-driven approaches and a new generation of tools to support metamodel techniques are changing software engineering landscape, boosting the adoption of new methodologies for control application development.
However, the adoption of certain methodologies is more favoured by practice because of their potential immediate impact on practice [ 47] and this framework acknowledges such approaches and their relevance.
Some of the barriers to the advancement of As research included an apparent lack of interest in the United States on As research; lack of relevant animal models; difficulty with adoption of uniform methodologies; lack of accepted biomarkers; and the need for a central storage repository for stored specimens.
This SCM property would, eventually, have other potential applications in health services research, a field of knowledge challenged by the need of the adoption of new methodologies [ 38, 39], and particularly, in the study of the geographical variations in medical practice.
The adoption of the methodology led to easily identified savings, amounting to over £28,000 for no capital outlay.
Thus, a new assay for the detection of CFPHV DNA markers is presented, and adoption of its methodology is recommended in future CFPHV screens among sea turtles.
The adoption of a methodology such as SUVref may enable the use of a less conservative threshold, by reducing the need to accommodate for inter-scanner variability, thus increasing sensitivity without increasing the number of incorrectly classified responders.
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