The aim of this study is to present a GIS based model for visual sensitivity assessment from human induced landscape changes based on a case study in the Lithuanian sea, where Offshore Wind Energy (OWE) parks are under Environmental Impact Assessment (EIA) and included into the national MSP implementation process as potentially emerging future use of the sea space.
A sensitivity assessment of model parameters and species used for the models predicting PT, aPTT, and anti‐FXa was conducted to evaluate whether the model can be reduced.
As a final assessment of model sensitivity, we analysed two truck toll scenarios against a reference tolling scenario.
To evaluate the performance of our hybrid model, several in-silico tests were performed including comparison with a data-driven (regression) model (Additional File 3, S2a/b) and assessment of model sensitivity to i) optimisation parameters, ii) experimental design, iii) data deterioration, iii) generic topology.
In practical reliability engineering a "curse of dimensionality" (the large number of states that should be analyzed for a multi-state system model) is a main obstacle for sensitivity assessment.
Yeast handling, transformation and EGTA sensitivity assessment.
Parameters of β-cell function were derived from deconvolution of the plasma C-peptide concentration after a 75-g OGTT and insulin sensitivity assessed by homeostasis model assessment of insulin resistance (IR).
We used homeostasis model assessment to assess insulin sensitivity ([insulin (µU/mL)×glucose (mmol/L)]/22.5).
The data for age, BMI, waist hip ratio (WHR) and plasma testosterone were available in all women, 2 h glucose in 80% of women and homeostatic model assessment for assessing insulin sensitivity (HOMA) in 50% of women.
Subgroup analysis was performed on age, BMI, WHR, testosterone, 2 h glucose and HOMA (homeostatic model assessment for assessing insulin sensitivity) as a measure of IR (Ehrmann et al., 1999; Legro et al., 1999, 2004; NCEP Expert Panel, 2001; Fauser, 2004; Samaras et al., 2006).
