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The isotherms were smoothed (Savitzky Golay method, 50-point window), differentiated, and then fit to multiple Gaussian peaks.
SPR sensorgrams were subjected to steady-state analyses and then fit to appropriate binding models to determine K values for all compounds (Materials and Methods).
Experiments were done in triplicate at temperatures between 36 and 50 °C and then fit to an Arrhenius plot to approximate the activation energy for the transition.
The resulting velocity was plotted as a function of metal or dNTP concentration and then fit to a hyperbolic equation, correcting for enzyme concentration, to obtain estimates for the turnover number (kcat) and Michaelis constant (KM,metal or KM,dNTP).
Agonist pMHC labeled with Atto488 and Atto647N SLB bleaching curves were background subtracted and then fit to an exponential decay function of the form f (t ) = k bl e − k bl t.
Data were corrected for experimental dilution and then fit to the Langmuir saturation function F={ F0+(Fsat− F0)}{[ x] H /([ x] H + KD H )}, also known as the Hill equation, where H is the Hill number and x was F6P, F1P, GK-W99R/W167F/W257F, GKA or D-glucose.
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The EEPAS model has previously been applied to a wider Japan region, including seismically active offshore zones, in forecasting earthquakes of magnitude M ̮ 6.75, using parameters estimated from the New Zealand earthquake catalogue, and then fitted to the wider Japan region at M > 6.25 (Rhoades and Evison, 2005).
The EMMA algorithm is based on the mixed-model where the pair-wise relatedness between all individuals is estimated and then fitted to the vector of the phenotype thereby decreasing false positive and false negatives.
To determine r the daily exponential growth rate of Bd in culture was calculated for each temperature [48] and then fitted to a third order polynomial equation (Figure 1B) from which r was calculated for both experimental temperatures.
The EMMA algorithm is based on the mixed-model association where a kinship matrix accounting for genetic relatedness between inbred mouse strains is estimated and then fitted to the vector of the phenotype, thereby reducing false positive rates.
The count rate data, from measuring H in a scintillation counter, were plotted as a function of absorbed dose and then fitted to an exponential model (equation (1)).
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