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It represents how much output change is provoked by the input change, both measured with respect to the basal level of the system.
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Figure 2b depicts the step response (dynamics exhibited by the target system when the reference input changes from 0 to 1) for systems with different controllers.
In addition, iiHadoop and i2MapReduce further reduce the shuffle time by shuffling only the intermediate results that are affected by input changes.
In contrast, CA1 network reactivation was not sensitive to the minor contextual alterations but could be affected by large input changes.
Incoop [13] executes a normal MapReduce job in an incremental way by automatically detecting input changes, and reusing the intermediate results from previous computations to update the outputs.
However, when the excitability of the population ({{mathrm{N}}}_{2}) neurons changes at the individual scale, the number of neurons activated in this population by a given input changes as well and so does the output of this population.
iiHadoop mainly works by performing computations over a small subset of data that is affected by input changes instead of computing over the entire dataset.
This seems like common sense, but neuroscience has joined forces with genetics to reveal that right down to the level of DNA, the feedback loop that embraces mind and body is profoundly changed by the input processed by the brain.
We developed a theoretical model considering the coupling between the horizontal and vertical components derived from the potential of the sphere to explain the step changes caused by the input of a 5-Hz horizontal acceleration excited by the motion of the VLBI antenna.
The neurons in the hidden layer in these models are activated not only by the input neurons but also by the neighboring neurons in the layer; consequently, the dynamics of these neuron activities are not determined solely by the inputs but can autonomously change even in the absence of inputs, as in the case of our model.
Returns to scale refers to the changes in output as all inputs change by the same proportion.
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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