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pO_{2}
10
20
30
40
50
60
70
80
90
100
110
120
Y
0.18
0.4
0.65
0.8
0.87
0.92
0.94
0.95
0.96
0.97
Where pO_{2} is given in units of mmHg.
Data collected for tetrameric bovine hemoglobin binding to oxygen is given above. Using this data, (a) create the oxygen dissociation curve, perform a linear regression on the experimental data using built-in Matlab function, polyfit, and plot your best-fit model with the data to show that linearity exists.
I think we are supposed to use the Hill equation to capture the sigmoidal shape of the oxygen dissociation curve.
And Henry's equation:
ln(Y/(1-Y)) = n*ln(pO2)+n*ln(P_{50})
where the model is linear in n and in P_{50}
Compare your filter with that given by the Matlab function ‘bilinear' for the same conditions. Manually design a second order digital filter, with the damping ratio given in t
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Matlab code that will calculate the bending moment and shearforce diagrams for the attached file. It must be possible to input lengths,udl values fro each element and the prog
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Step One: For the design specifications of your filter, see the excel file for specifications (UDO). You need to demonstrate for the first two iterations( n=0 & n=1), by
Determine the steady state conditions at t
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