Hydrocephalus is one of the most common diseases managed by pediatric neurosurgeons. Cerebrospinal fluid (CSF) shunting has been the mainstay of durable treatment for hydrocephalus for many decades. There are two main categories of shunt designs for regulating the extent of CSF diversion: (1) Fixed-parameter valves and (2) adjustable valves. Furthermore, these valves can also function with and ...

The structure of an effective light-cone Hamiltonian as recently derived is analyzed with emphasis on its prediction for flavor mixing in physical mesons. In a (perhaps over-simplified) model with one adjustable parameter, the empirical masses of all 25 pseudo-scalar mesons which are possible for 5 flavors are reproduced (almost) quantitatively. These results are coupled with explicit numerical...

The melting behavior of long, heterogeneous DNA chains is examined within the framework of the nonlinear lattice dynamics based Peyrard-Bishop-Dauxois (PBD) model. Data for the pBR322 plasmid and the complete T7 phage have been used to obtain model fits and determine parameter dependence on salt content. Melting curves predicted for the complete fd phage and the Y1 and Y2 fragments of the ϕX174...

In this study, we investigate a novel neural network for solving nonlinear convex programming problems with general linear constraints. Furthermore, we extend this neural network to solve a class of variational inequalities problems. These neural networks are stable in the sense of Lyapunov and globally convergent to a unique optimal solution. The present convergence results do not requires Lip...

Most existing P2P networks route requests in ) kN ( O k 1 , ) N (log O , ) k log / N (log O hops, where N is the number of participating nodes and k is an adjustable parameter. Although some can achieve ) d ( O -hop routing for a constant d by tuning the parameter k , the neighbor locations however become a function of N , causing considerable maintenance overhead if the user base is highly dyn...

We introduce the first multiorbital effective tight-binding model to describe the effect of electron-electron interactions in this system. Upon fixing all the effective hopping parameters in the normal state against an ab initio band structure, and with only the overall scale of the interactions as the sole adjustable parameter, we find that a self-consistent Hartree-Fock solution reproduces ex...

Attractor merging can exist in chaotic systems with some kind of symmetry, which makes it possible to form a four-wing attractor from a bistable system. A relatively simple such case is described, which has robust chaos varying from a pair of coexisting symmetric single-wing attractors to a double-wing butterfly attractor, and finally to a four-wing attractor. Basic dynamical characteristics of...

The stereographic projection is a popular method for viewing spherical panoramas because of its ability to represent the scene as a “little planet” with a simulated overhead view. However, the stereographic projection does not work well for indoor scenes. In this paper, we present a method for producing a counterpart to the stereographic projection for indoor scenes. The main innovation of our ...

Hidden Markov Models (HMMs) are probabilistic models, suitable for a wide range of pattern recognition tasks. In this work, we propose a new gradient descent method for Conditional Maximum Likelihood (CML) training of HMMs, which significantly outperforms traditional gradient descent. Instead of using fixed learning rate for every adjustable parameter of the HMM, we propose the use of independe...

This study presents a recurrent compensatory fuzzy neural network (RCFNN) for dynamic system identification. The proposed RCFNN uses a compensatory fuzzy reasoning method, and has feedback connections added to the rule layer of the RCFNN. The compensatory fuzzy reasoning method can make the fuzzy logic system more effective, and the additional feedback connections can solve temporal problems as...