With potentially greater acceptance of OR methodologies driven by heightened efforts to engage clinicians in evidence based approaches, we present a comprehensive review of the current literature.
As line-drawings are digital-born documents designed by vectorial softwares, instead of using a pixel-based approach, we present a spotting method based on vector primitives.
The host-to-host based phylogenetic approach we present here offers an integrated index of the likelihood that unknown pests and pathogens that hitch-hike on stock of particular horticulture species would pose a threat to the environmentally and economically important plant species in a proposed area of introduction.
Based on the latter approach, we present three proposals that differ in the way that the tasks of the application are divided between the threads.
In this paper, based on an electrochemical approach, we present a generalized model suitable for use in BMS applications, which takes into account explicitly the rate capacity effect and the state of charge.
Based on such an approach, we present an original two-phase heuristic which locates the regeneration-sites and determines the number of electronic regenerators to be installed in, according to an efficient strategy that aims at minimizing both Capital Expenditures (CAPEX) and Operational Expenditures (OPEX) inherent to regeneration while ensuring QoT requirements.
Then, based on Least Square (LS) approach, we present the existing Cyclic Algorithm (CA) and a new Sequential Iterative Algorithm (SIA) to devise the waveform under a constant modulus constraint, and a similarity constraint to allow the designed waveform sharing the similarity feature with a given reference waveform.
Based on the Dirichlet-to-Neumann approach, we present a formula for the group velocity of guided modes that can serve as an objective function in the optimization of photonic crystal wave-guides.
The structured approach we present here is based on the empirical advice given in the Cochrane Handbook for Systematic Reviews of Interventions.
Based on genome-scale approaches, we present a graph-theoretic approach together with a metabolic model in order to explore the metabolic variability among bacterial strains and identify and describe metabolically interacting strain communities in a batch culture consisting of two or more strains.
As a possible alternative to TDMA-based automotive communication systems, a network based approach was presented in (Nenninger et al. 2006).
