This is an example of how predictive large-scale modeling procedures can contribute to the optimization of land management aimed at species conservation.
Evaluation methodologies and procedures can contribute to steering the choices made by Public Administration (PA) in creating programmes and hypothesis of intervention that may be considered sustainable and shared by stakeholders.
However, pain and anxiety remain problems that may impede the procedure and can contribute to a negative experience for the patient [4, 5, 6, 7, 8].
This includes identifying participants, policies and procedures which can contribute to sustainability.
There are medical procedures that can contribute to have the risk of having AVN.
Hence, pretreatment CTC counts <5/7.5 ml may identify a subgroup of patients with single-organ disease who have higher probability of maintaining this condition for a longer time upon systemic treatment and for whom locoregional ablative procedures, if feasible, can contribute to symptom control and prolong survival [ 12- 14].
Other patient-specific factors such as poor knowledge of the benefits of bowel cancer screening, concerns about performing the FOBT and perceived self-efficacy for completing the bowel cancer screening procedure can also contribute to poor participation (Seeff et al, 2004; Subramanian et al, 2004; Weller et al, 2006).
The results show that an improvement of laboratory procedures for coatings selection can contribute to the development of coating/cathodic protection technology.
3D models can contribute to surgical procedures by providing surgeons with an accurate life size physical reproduction of the anatomy of interest.
In this animal model, at least three factors can contribute: both surgical procedures involved general anesthesia and postoperative recovery (approximately 1 week each).
In this context, model-based analysis of biomarker data can contribute to validation procedures and enable comprehensive sensitivity analysis, with a clear understanding of the sensitivity and specificity rates (i.e. false-positive and false-negative rates).
