Such information could then be combined with UWA-based data to develop actionable conservation intelligence useful for collaborative strategic, operational, and tactical planning.
We used multiple-generation, individual-based data to develop and parameterize a size-class and location-based population projection model, allowing us to test effects of fragmentation on population dynamics at local (i.e., subpopulation) and system-wide (i.e., metapopulation) scales, and to identify demographic rates which influence the persistence of isolated and fragmented populations.
Evidently more research is needed to update evidence-based data to develop well-targeted tobacco control activities.
Here we use population-based data to develop, parameterise and apply an age-structured transmission dynamic model [ 26] and to explore the impact of different PCV7 vaccination strategies on carriage of vaccine- and non-vaccine pneumococcal serotypes (VT and NVT) and on invasive pneumococcal disease (IPD).
In regard to the above, the purpose of this study was to determine the sociodemographic and other factors (including risk awareness of smoking and environmental tobacco smoke harm or cohabitation with a smoker) associated with successful smoking cessation among Romanian adults in order to provide evidence-based data to develop well-tailored, effective tobacco control strategies.
We subsequently used the updated model (hereafter iMR1_799) together with genome comparisons (based on genome annotations) and experimental data to develop the genome-scale metabolic models for three other Shewanella strains, Shewanella sp. MR-4 (hereafter iMR4_812), Shewanella sp. W3-18-1 W3-18-1 W3-18-181_789), and Shereafter deniW3181_789 OS217 (hereander iOShewanella
In the end, by taking advantage of such interactive solutions, biocurators can easily and more effectively keep current knowledge bases updated and generate annotated data to develop and evaluate automatic solutions.
The GPS based data was used to develop a duty cycle for the plug-in vehicles in the North American urban setting in [35].
Since abnormal melting curves frequently contribute to dismissal of SYBR Green based data, we developed a convenient method with improved specificity that avoids such erroneous signals.
Artificial neural network technique based data driven models are developed to empirically describe the relationship between the processing conditions and the properties.
Based on data used to develop a conceptual model of wetland degradation and restoration, we address what can be done operationally to improve the prospects for replacing both the area and functions of mitigated wetlands.
