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For in vivo imaging of Aβ plaques, the basic pharmacokinetic model in normal brains involves a high initial penetration of the agent, accompanied by facile clearance due to lack of a binding target.
Finally, theoretical developments are validated through simulation results by means of a detailed model in normal operation and during an AC voltage sag.
To investigate the hypoalgesic effect of amplitude-modulated frequency during interferential current therapy using an experimentally induced mechanical pain model in normal subjects.
In view of the scope of the current paper, it suffices to describe this agent-based model in normal language rather than in SDCPN language.
For in vivo imaging of Aβ plaques, the basic pharmacokinetic model in normal brains involves a high initial penetration of the agent, followed by facile clearance due to lack of a binding target.
According to our model, in normal conditions the first cell divisions occur at ∼2 days, when the DN cells, guided by CXCL12 gradients (Fig. 1B) reach the subcapsular zone.
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Much of what is understood about immune surveillance of cancer has come from comparing susceptibility to transplantable or carcinogen-induced cancer models in normal versus various immuno-compromised strains of mice.
However, more often than not, these drugs failed to behave "appropriately" in preclinical in vivo models, in normal individuals, or in patients, reflecting a lack of efficacy and/or intolerable adverse effects that could not be predicted by a reductionistic approach.
This situation has been modeled in normal humans by imposing expiratory flow-limitation (EFL) during exercise which limits exercise performance by intense dyspnea (Aliverti et al. 2002; Iandelli et al. 2002), while decreasing arterial oxygen saturation and cardiac output (Aliverti et al. 2005a).
For Model I, Burger's model parameters in normal and shear direction were calibrated by using laboratory test results from Frequency Sweep Test performed in both normal and shear direction, respectively; while for Model II, the same calibrated parameters in the normal direction were used, but the values for the shear direction were chosen to be equal with the normal direction.
Fitting to experimental data: Automatically or manually adjusting model parameters in normal or logarithmic space until the distance between model trajectory and experimental data points is minimized.
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