17,438 research outputs found
Measurement set selection of parameter estimation in biological system modelling - a case study of signal transduction pathways
Parameter estimation is a challenging problem for biological systems modelling since the model is normally of high dimension, the measurement data are sparse and noisy and the cost of experiments high. Accurate recovery of parameters depends on the quality and quantity of measurement data. It is therefore important to know which measurements to be taken when and how through optimal experimental design (OED). In this paper a method was proposed to determine the most informative measurement set for parameter estimation of dynamic systems, in particular biochemical reaction systems, such that the unknown parameters can be inferred with the best possible statistical quality using the data collected from the designed experiments. System analysis using matrix theory was used to examine the number of necessary measurement variables. The priority of each measurement variable was determined by optimal experimental design based on Fisher information matrix (FIM). The applicability and advantages of the proposed method were shown through an example of signal pathway model
Miniature Quasi-Lumped-Element Wideband Bandpass Filter at 0.5–2-GHz Band Using Multilayer Liquid Crystal Polymer Technology
Mass Dependence of Higgs Production at Large Transverse Momentum
The transverse momentum distribution of the Higgs at large is
complicated by its dependence on three important energy scales: , the top
quark mass , and the Higgs mass . A strategy for simplifying the
calculation of the cross section at large is to calculate only the
leading terms in its expansion in and/or . The
expansion of the cross section in inverse powers of is complicated by
logarithms of and by mass singularities. In this paper, we consider the
top-quark loop contribution to the subprocess at leading
order in . We show that the leading power of can be
expressed in the form of a factorization formula that separates the large scale
from the scale of the masses. All the dependence on and can
be factorized into a distribution amplitude for in the Higgs, a
distribution amplitude for in a real gluon, and an endpoint
contribution. The factorization formula can be used to simplify calculations of
the distribution at large to next-to-leading order in .Comment: 49 pages, 8 figure
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