Background and Aim: In clinical practice it is commonly assumed that occlusal splints have therapeutic value in the treatment of temporomandibular disorders (TMD), however there is still lack of sufficient evidence to support this claim. The purpose of this double-blind study was to evaluate the short-term (8-week) efficacy of a stabilization splint in subjects with temporomandibular disorders seeking treatment.Materials and Methods: Seventeen TMD patients were treated with stabilization splints for eight weeks. In addition to filling out questionnaires, all patients underwent a preoperative and postoperative clinical-functional investigation of the masticatory system. Qualitative data were analyzed using Fisher exact and Chi-square tests and Wilcoxon signed ranks test was applied to report quantitative data.Results: A statistically significant decrease was observed postoperatively in the Helkimo clinical dysfunction index (P=0.000) as well as the anamnestic dysfunction index (P=0.020). In addition there was a statistically significant decrease in muscle tenderness, after treatment (P=.002).Conclusion: The results of this study indicate that the use of a stabilization splint is beneficial in treatment of the signs and symptoms of TMD, and especially has a positive effect on muscle tenderness.

The present study addresses the problem of global practical stabilization of discrete-time switched affine systems using switched Lyapunov functions and aims to achieve less conservative stability conditions and less conservative size for the ultimate invariant set of attraction. This study also makes its main contribution by proposing a state-dependent switching controller synthesis that ensures the invariance and global attractive properties of a convergence set around a desired equilibrium point. This set is constructed through the intersection of a family of ellipsoids associated with each of switched quadratic Lyapunov functions. The global practical stability conditions are proposed as a set of Bilinear Matrix Inequalities (BMIs) for which an optimization problem is established to minimize the size of the ultimate invariant set of attraction. A DC-DC buck converter is considered to illustrate the effectiveness of the proposed stabilization and controller synthesis method.

This paper presents new su cient conditions as a set of Bilinear Matrix Inequalities (BMIs) for the globally practical stabilization of discrete-time switched a ne systems. The main contribution of the current research involves proposing certain stability conditions based on a common quadratic Lyapunov function that can be used to stabilize the discrete-time switched a ne systems around a desired equilibrium point for which it is not required to  nd any Schur stable convex combination of operating modes as a preprocessing stage. To this end, special algorithms are required for resolving an NP-hard problem. It is found that the existing two-stage stabilization methods based on a precalculation of a Schur stable convex combination of operating modes can be simpli ed into a single-stage method by which a high degree of applicability can be obtained. The proposed stability conditions are developed such that the size of the convergence ellipsoid is minimized. Moreover, it is not required for the equilibrium point around which the invariant set of attraction is constructed to be in a predetermined set of attainable equilibrium points. The satisfactory operation of the proposed stability conditions is illustrated with an academic example and the corresponding application to various DC-DC converters.

In this paper, we deal with the global practical exponential stabilization of a class of perturbed Takagi-Sugeno fuzzy control systems. The terms of perturbations are supposed uniformly  bounded by some known  functions and in certain cases not necessarily smooth. We prove that the solution of the closed-loop system with a linear fuzzy controller convergeto  a neighborhood of the origin. We use common quadratic Lyapunov function  and parallel distributed compensation controller techniques to study the asymptotic behavior of the solutions of fuzzy system. Numerical simulations are given to validate the proposed approach.

Menendez (2000) published a paper on Shannon's entropy in exponential family and discussed some properties of them. He introduced an asymptotic distribution for it. In this paper we present an entropy characterization of general exponential model so that Menendez definition is particular state of it. Also we introduced another asymptotic distribution for (H(^q) - H (q0)),where H (q) is Shannon's entropy of X with distribution ¦q (x) , and ^q is MLE of q.

We introduce a new wrapped exponential distribution named transmuted wrapped exponential (TWE) distribution, for the modeling of circular datasets by using the Transmutation Rank-Map method. This method is employed for the first time for a wrapped distribution with this study. The introduced distribution is more flexible than traditional wrapped exponential distribution. The paper provides the explicit form of important distributional properties of the introduced distribution such as expectation, median, moments, characteristic function, quantile function, hazard rate function and stress-strength reliability. Ré nyi and Shannon entropies are also obtained. The statistical inference problem for the TWE distribution is investigated using maximum likelihood, least squares and weighted least squares and comparative numerical study results are presented. Furthermore, we present a real dataset analysis.

In this paper, a non-linear carrier controller with an exponential carrier generator is designed and simulated for power factor correction (pfc). then, this controller is applied to single phase and three phase rectifier using a boost regulator for PFC. the power factor and its variations are measured by computer simulation against the changes in various loads and switching frequencies and the results are discussed. In order to produce voltages lower than the input voltage, a PFC using a buck regulator is used in rectifiers. However, the buck type PFC produces lower power factor then the boost type. For this reson, a flyback regulator is used as a PFC to produce lower voltage then input voltage. Power factor obtained by computer simulation of Fly back pfc are acceptable and are above 95%.

The spectrum of arbitrary graph of finite order the exponential growth of the resolvent of graph G is one of the most investigated object during the last 50 years. In particular, the resolvent matrix is a matrix with property that all of its eigenvalues are outside the spectra of G. In this paper, we study the exponential growth of the resolvent of graph G. The exponential growth of resolvent energy of graph G was investigated.

Welch & Peers (1963) used a root-information prior to obtain posterior probabilities for a scalar parameter exponential model and showed that these Bayes probabilities had the confidence property to second order asymptotically. An important undercurrent of this indicates that the constant information reparameterization provides location model structure, for which the confidence property was and is well known. This paper examines the role of the scalar-parameter exponential model for obtaining approximate probabilities and approximate confidence levels, and then addresses the extension for the vector-parameter exponential model.

This note corrects the proof of Theorem 1 in [1], the statement and proof of Lemma 1, and a part of proofs in Theorems 1 and 2 of [2].