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Our approach considers the dynamics of land conversion [31], cost efficiency [20] and the probability of investment failure due to unstable climate, thus providing methods for spatially and temporally explicit resource allocation applicable to large scale prioritizations under climate change using currently available datasets.
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This study demonstrates the need to include case-mix in resource allocation and is applicable to other countries with varied morbidity across rural versus urban settings.
In this study, the problem was addressed by proposing a new market model called the Combinatorial Double Auction Resource Allocation (CDARA), which is applicable in cloud computing environments.
Although this article focused on virtualized geo-databases, we believe that our proposed VM resource allocation approach is generally applicable to the virtual resource management for other types of Big Data handling applications.
This index is applicable to any resource allocation problem and has been used variously in the literature (see, e.g., [17, 19]).
This has considerable advantages because the derived results are not country-specific and may be more applicable for guiding resource allocation decisions, especially for country that do not have country-specific tariffs for the EQ-5D or the SF-6D.
Although it is useful for supporting broad scale resource allocation decisions, the results are not necessarily applicable to all places within an ecoregion as the conservation context may vary between communities [31].
While the proposed algorithms are mainly for stationary SUs and may be applicable to walking speeds, the resource allocation for medium/high speed mobile SUs, is an issue we intend to tackle in the near future.
We allocated investments under two resource allocation scenarios: a climate-adapted allocation and a climate-neutral allocation.
In the eyes of the decision-makers participating in the forums, effective priority setting and resource allocation is often held back by a lack of good, appropriate, applicable, reliable and valid data (III:6).
Resource allocation constraints define restrictions on how to allocate resources, and scheduling under resource allocation constraints provide proper resource allocation to tasks.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com