10 research outputs found

### Fitting the model to Dry Matter Intake (DMI) and Milk Fat Content (MFC) in goats before, during and after a 2 days nutritional challenge (grey rectangle).

<p>Data (observed values Â± SE) are expressed as fold changes. The inverse of DMI is illustrated since DMI is decreasing during the challenge. Stiffness (K) and resistance to change (C) parameters of the model were fitted on the mean of the DMI (K = 0.04, C = 0.06) and MFC (K = 0.72, C = 0.97) measures.</p

### Sensitivity analysis of the model where the parameter K varies and a continuous perturbation occurs between time 20 and 60.

<p>For this analysis, perc was set to 1, Fpert to 1 and C to 2. K varied between 0.1 and 1. We define the value T = C/K as the decay constant, characterizing the recovery capacity of the system, x<sub>max</sub> the value of x at the end of the perturbation and x<sub>inf</sub> the value of x if the perturbation continues indefinitely.</p

### Pearsonâ€™s correlation coefficients between model estimated parameters.

<p>Pearsonâ€™s correlation coefficients between model estimated parameters.</p

### Sensitivity analysis of the model where the parameter Fpert varies and a continuous perturbation occurs between time 20 and 60.

<p>For this analysis, perc was set to 1, K to 0.1 and C to 2. F<sub>pert</sub> varies between 1 and 10. We define the value T = C/K as the decay constant, characterizing the recovery capacity of the system, x<sub>max</sub> the value of x at the end of the perturbation and x<sub>inf</sub> the value of x if the perturbation continues.</p

### The Kelvin-Voigt model in a non-perturbed environment (1.a) and during a perturbation (1.b).

<p>The model is composed of a spring and a damper in parallel and characterized respectively by the parameters K and C. During a perturbation a force of perturbation (F<sub>pert</sub>) pulls on the system and the measure of interest, x(t), is increased.</p

### Model estimated (K and C) and derived (T and xinf) parameters, for two isogenic lines subjected to a confinement challenge.

<p>Model estimated (K and C) and derived (T and xinf) parameters, for two isogenic lines subjected to a confinement challenge.</p

### Fitting the model to cortisol release rate, oxygen consumption, group activity and group dispersion in rainbow trouts facing and recovering from a confinement challenge (grey rectangle).

<p>Data (observed values Â± SE) are expressed as fold changes. The model fit is shown for each measure by the solid line. Stiffness (K) and resistance to change (C) parameters of the model were fitted on the mean of the cortisol release rate (K = 0.028, C = 0.384), group activity (K = 0.143, C = 1.137), oxygen consumption (K = 0.314, C = 3.052) and the group dispersion (K = 0.542, C = 9.809) measures.</p

### Sensitivity analysis of the model where the parameter C varies and a continuous perturbation occurs between time 20 and 60.

<p>For this analysis, perc was set to 1, K to 0.1 and Fpert to 1. C varies between 0.5 and 20. We define the value T = C/K as the decay constant, characterizing the recovery capacity of the system, x<sub>max</sub> the value of x at the end of the perturbation and x<sub>inf</sub> the value of x if the perturbation continues indefinitely.</p

### Design of the confinement experiment during time.

<p>Aquaria are followed during time for behavior, cortisol release rate and oxygen consumption. Each horizontal line represents a 10 minutes film record taken by camera placed above the aquaria. Vertical lines correspond to the water sampling points and the oxygen consumption measurements. At time 0, a 4-hour confinement challenge is performed by enclosing all the fish of one aquarium in a net, creating a density of 140kg/m3.</p

### Simulated curves showing the interplay between K and C in a sensitivity analysis of the model where a continuous perturbation occurs between time 20 and 60.

<p>K and C take each three different (low, mid, high) values.</p