Discrete fracture network (DFN) model simulations, where a fracture network can have a natural heterogeneity, is one of the most effective approaches in fluid flow analyses for naturally fractured and enhanced geothermal reservoirs. In the DFN model simulations, fractures are modeled by a pair of parallel smooth plates although real fractures have rough surfaces. Numerous field and laboratory o...

Generalized modeling principles of a nonlinear system with a dynamic fuzzy network (DFN)a network with unconstrained connectivity and with dynamic fuzzy processing units called ‘feurons’, have been given. DFN model has been trained both in open loop and closed loop forms to satisfy these principles. Several system trajectories with a PRBS input have been used for open loop training. DFN model o...

BACKGROUND COX-2 inhibitors can be effective for acute migraine, but none is supplied in a rapidly absorbed, ready-to-use oral liquid formulation. DFN-15, a novel oral liquid formulation of celecoxib, is being developed for the acute treatment of migraine with or without aura. Clinical studies with this formulation are ongoing. OBJECTIVES The objectives of the present study were to compare th...

[1] In order to improve discrete fracture network (DFN) models, which are increasingly required into groundwater and rock mechanics applications, we propose a new DFN modeling based on the evolution of fracture network formation—nucleation, growth, and arrest—with simplified mechanical rules. The central idea of the model relies on the mechanical role played by large fractures in stopping the g...

Fractures in geologic media are known to provide preferential pathways for fluid flow and transport of contaminants. Computations of flow and transport in fracture networks are usually performed using either a discrete fracture network (DFN) modeling approach or a continuum based approach. The DFN approach explicitly model individual elements of a network and thus is considered to provide accur...

The aim of the study was to demonstrate the relationship between the deep fibular nerve (DFN) and the dorsalis pedis artery (DPA) in the anterior tarsal tunnel(ATT) in order to provide useful anatomical knowledge for safe surgical approaches of the foot and ankle. 40 formalin fixed lower limbs were dissected and examined. The level of bifurcation of the DFN in ATT was noted. Relationship betwee...

Fluid flow in jointed rock mass with impermeable matrix is often controlled by joint properties, including aperture, orientation, spacing, persistence and etc. On the other hand, since the rock mass is made of heterogeneous and anisotropic natural materials, geometric properties of joints may have dispersed values. One of the most powerful methods for simulation of stochastic nature of geometri...

In the lithium-ion battery literature, discharges followed by a relaxation to equilibrium are frequently used validate models and their parametrizations. Good agreement with experiment during discharge is possible using pseudo-two-dimensional model such as Doyle-Fuller-Newman (DFN) model. The portion, however, typically not well-reproduced, in experiments occurring much more slowly than models....

Background The objective of this proof-of-concept study was to assess the safety, efficacy, and potential for dose response of a new oral liquid formulation of celecoxib, DFN-15, in adults with migraine. Variability in patient-identified most bothersome symptom (MBS) across 3 migraine attacks was also evaluated. Methods This was a randomized, placebo-controlled, double-blind, 3-treatment, 6-s...

FACULTY OF ENGINEERING ELECTRONICS AND COMPUTER SCIENCE DEPARTMENT Doctor of Philosophy MODELLING AND VERIFICATION OF EMBEDDED SYSTEMS BASED ON PETRI NET ORIENTED REPRESENTATIONS by Mauricio Varea Driven by the demand for more functionality, the complexity involved in the design of embedded systems continues to increase. This has lead to a progressive increase in the amount of control and data ...