Table 2.
scaling power laws |
high-fat diet (n = 6) | control (n = 6) | per cent difference (%) | p-value | |
---|---|---|---|---|---|
least-squares fit of both K0 and X values (two-parameter model) | |||||
flow–area scaling law () | 4.02±2.75 | 5.62±1.16 | −28.4 | =0.21 | |
XQA | 1.05±0.24 | 1.16±0.09 | −9.7 | =0.29 | |
R2 | 0.66±0.07 | 0.94±0.01 | |||
flow–length scaling law () | 2.28±0.35 (×10–2) | 3.17±0.67 (×10–2) | −28.0 | =0.14 | |
XQL | 0.90±0.07 | 0.79±0.06 | 13.5 | =0.05 | |
R2 | 0.91±0.08 | 0.91±0.02 | |||
least-squares fit of K values with X equal to theoretical values (one-parameter model) | |||||
flow–area scaling law () | 4.59±0.56 | 6.00±0.91 | −23.5 | =0.09 | |
R2 | 0.66±0.07 | 0.94±0.01 | |||
flow–length scaling law (Qs = KQLLc) | KQL | 2.03±0.34 (×10–2) | 2.58±0.56 (×10–2) | −21.2 | =0.25 |
R2 | 0.91±0.08 | 0.91±0.02 |