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Using the computed normative bark water storage capacities, previously published allometric equations relating tree diameter to aboveground woody surface area, and stemflow yield and chemistry data from ten precipitation events, the influence of bark water storage capacity on stemflow production and solute inputs was examined.
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The feasibility of a transportable artificial neural network (ANN -based technique for the clANN -basedon of flow regimes in techniquese gas/liquid/pulp forer systhes by using pressure signals as input was examined.
The effect of whether a nurse teacher or preceptor taught students theoretical elements relating to a clinical speciality, whether the nurse teacher and preceptor collaborated on the content of what was taught to students and whether students went straight to, or delayed the clinical speciality following theoretical input, was examined.
The ability of the algorithm to confuse and diffuse predictable message input is examined using message entropy as a metric.
The dissipativity of single-input single-output discrete-time systems which are nonlinear in the states and the control input is examined.
The effect of reaction temperature and hydrogen/halon 1211 input ratio was examined.
First, the relation between the output variable and the input parameter was examined visually by scatter plots.
The necessity of turning semi-automatic acquisition of domain knowledge into fully automatic ones (which does not require inputs from operators) was examined.
Here, to study the influence of the inputs, the metabolic flux distribution was examined by incrementally adding constraints to the system.
Resting heart rate was examined to evaluate the balance of sympathetic and parasympathetic input.
Importantly, history matching allows relationships between the not-ruled-out model inputs to be examined, providing insight into how to achieve improved predictions by incorporating new observations.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com