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Availability of satellite data of better spatial and temporal resolution, and geographical information system (GIS), ecological niche modeling (ENM), and habitat modeling tools have helped in the delineation of potential habitats and geographical range to a high level of confidence, making it convenient to study the AS pattern (Weber et al. 2016).
Thermofluidic modeling tools have the potential to streamline the physical microfluidic device design process, reducing the time required to fabricate functional prototypes while maximizing reliability and robustness.
Although these modeling tools have brought great advances, a common framework to guide their design, implementation and evaluation, with the goal of future integration, is still needed.
These new modeling tools have proven to be accurate and robust in domain applications outside the clinical setting.
Since all modeling tools have their own limitations, it might be beneficial to deploy a combinatorial approach in order to compensate for the limitations of individual methods.
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SWAT, a watershed modeling tool has been proposed to help quantify ecosystem services.
This modeling tool has the potential to help land managers optimizing their financial investment by avoiding low-efficiency landscape areas, or favoring high-efficiency ones, at the time of planning floral enhancement schemes.
Although many constraint-based modeling software tools have been developed and published, none provides a free user-friendly application that makes available the full portfolio of flux analysis methods.
Development of the NONMEM software continues, and although over time several other modeling software tools have become available, NONMEM is still regarded as the gold standard within the pharmacometric community: a recent survey identified NONMEM (together with PsN) as the most frequently used software tool by far.
Since 2007, a range of new modeling approaches and tools have been developed for sustainability impact assessment (SIA), but a lack of universal acceptance of SIA tools in applied policy making is observed.
The MEMS design and modeling tools that have been developed typically rely on finite element models, or even more coarse-grained macro models.
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