Reduced Dynamic Models in Epithelial Transport

Reduced Dynamic Models in Epithelial Transport

Most models developed to represent transport across epithelia assume that the cell interior constitutes a homogeneous compartment, characterized by a single concentration value of the transported species. This conception differs significantly from the current view, in which the cellular compartment is regarded as a highly crowded media of marked structural heterogeneity. Can the finding of rela...

Evaluation of uncertainty in dynamic, reduced-order power system models

With the advent of high-speed computation and the desire to analyze increasingly complex behavior in power systems, simulation techniques are gaining importance and prevalence. However, while simulations of large, interconnected power systems are feasible, they remain time-consuming. Additionally, the models and parameters used in simulations are uncertain, due to measurement uncertainty, the n...

Reduced Lorenz models for anomalous transport and profile resilience

Compliant Leg Shape, Reduced-Order Models and Dynamic Running

Groundbreaking running performances of RHex-like robots are analyzed from the perspective of their leg designs. In particular, two-segment-leg models are used both for studying the running with the legs currently employed and for suggesting new leg designs that could improve the gait stability, running efficiency and forward speed. New curved compliant monolithic legs are fabricated from these ...

TRANSPORT ROUTE PLANNING MODELS BASED ON FUZZY APPROACH

Transport route planning is one of the most important and frequent activities in supply chain management. The design of information systems for route planning in real contexts faces two relevant challenges: the complexity of the planning and the lack of complete and precise information. The purpose of this paper is to nd methods for the development of transport route planning in uncertainty dec...