One observation that can be drawn from this distribution is that learning activities which involve tasks that are decomposable into simpler subtasks or tasks where performance is measurable (according to an obvious rewarding scheme or skills) are better candidates for gamification.
However, bird will be assumed to be a simple concept with no semantically decomposable parts.
A growing realization in many natural sciences is that simple idealized notions of linearly decomposable, fixed equilibrium systems often do not accord with reality.
In this proposed system, the decomposable code which has simpler structure is utilized.
Then, in this proposed system, the structure of our decomposable code is modified to be much simpler than that in our previous work [21, 22] in order to analyze it more easily.
Moreover, the fact that they comprise all the simple pathways in the network, the functional states or non-decomposable vectors, makes it possible to investigate the infinite behaviours that cells can show by simply inspecting them.
This second condition ensures that the flux distribution is not decomposable into a combination of smaller elementary routes.
We therefore propose a simple algorithm that aims to find a good, but not always the best, approximating decomposable subnetwork.
The idea is simple, redistribute discarded crayons in underserved schools, OR eliminate millions of pounds of non-decomposable paraffin wax from landfills, where they do not decompose!
Here, it turns out that due to the decomposable nature of F x, u), the derivative F x ′ at a point (x, u) is the simple matrix (16) F x ′ (x, u ) = g (u ) ∘ (H 1 x ) H 2 (1) + g (u ) ∘ (H 2 x ) H 1 - I. (2) (3) Therefore, finding r = (F x ′ (x, u ) ) − 1 F (x, u ) is equivalent to solving the linear system of equations (17) (F x ′ (x, u ) ) r = F (x, u ).
