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Initially the VAST (Vegetation Assets, States and Transitions) system was developed to describe and map changes in vegetation over time through a series of condition states or classes; here we describe an enhancement to the VAST method which will enable identification of the factors contributing to those changes in state as a result of changes in management practice.
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Although undoubtely promising and susceptible of vast applications, the method of mucosal delivery of therapeutic protein through recombinant bacteria acting as cell factories needs further and deeper investigation.
These methods are a vast improvement over previous methods that usually depended on the infant making motor responses (e.g., reaching for an object, or crawling to a location), which we know are poorly developed early in life for reasons having to do with immature brain maturation, not immature cognitive abilities.
In the literature, to find exact solutions of nonlinear partial differential equations, a vast variety of methods have been proposed such as the inverse scattering transform [1], Bäcklund transformation [2], Hirota direct method and several dressing methods.
What they have also developed well is spam filtering methods, Vast CEO Naval Ravikant told me that 70% of the listings that they find are spam or duplicates.
In the review paper done by Aldwaki and Adeli (2014), a vast range of methods proposed by many researchers dealing with tall structures optimization are presented.
A vast array of methods for engaging multiple actors in the development of STI programmes such as Horizon2020 is available [89].
During the last three decades, a vast variety of methods to numerically solve ordinary differential equations and differential algebraic equations has been developed and investigated.
And because organic farming is relatively inefficient (yields are on average 25% lower) compared to modern technological methods, vast new tracts of land would need to be used, which would further impact our forests and other ecological spaces.
Although the amount of data currently available is considered vast, the existing methods and extensively used techniques can only hint at the knowledge that can be potentially extracted and consequently applied for addressing a plethora of key issues, ranging from personalized healthcare and drug design to sustainable agriculture, food production and nutrition, and environmental protection.
The approaches which will be discussed in the following are clearly only a small selection out of a vast amount of methods, where the selection is mainly based on recent approaches which were proposed in the last decade and which are applicable to large Finite Element models.
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