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We consider two multiple-input multiple-output (multiple-input multiple-outputnel and a secondary channel, with dependent input signals.
The shape is optimized based on the simulation of the sole deformation during an entire walking step, taking time dependent input of the walking pattern generator into account.
The letters E, S, A, B, and V denote solute dependent input parameters that come from scales related to a solute's polarizability, dipolarity (with some contribution from polarizability), hydrogen bond donating ability, hydrogen bond accepting ability, and molecular size, respectively.
Occupancy dependent input parameters such as air change rates (i.e. mechanically controlled ventilation) and internal heat gains (i.e. due to people, lighting and appliances) are described by means of probability distributions to obtain probabilistic thermal demand and load profiles as output.
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In the present work, we propose a set of variance-based sensitivity indices to perform sensitivity analysis of models with dependent inputs.
Although several methods exist to perform variance-based sensitivity analysis of model output with independent inputs only a few are proposed in the literature in the case of dependent inputs.
Time dependent inputs for and were obtained from the data by averaging Cad and Tll expression patterns over individual embryos at various time points, as described in details in earlier work [ 2].
NEURON files from the paper: A modeling study suggesting how a reduction in the context-dependent input on CA1 pyramidal neurons could generate schizophrenic behavior.
We present a decoding algorithm for estimating time-dependent input signals, and DNAP kinetic parameters, directly from misincorporation rates as determined by sequencing.
This paper presents a numerical method for the coverage interval determination of the output variable while knowing the probability density functions of two non-dependent input variables.
The proposed methodology is based on exact feedback linearization which is used to reformulate the nonlinear system as a linear system having state-dependent input saturation.
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