Recently, many successful methods have been developed to achieve analytical solutions of nonlinear partial differential equations. In this study, some new exact the non-linear coupled Klein- Gordon system and modified Benjamin-Bona-Mahony equation obtained by using functional variable method (FVM). Additionally, all examined three dimensional graphics drawn Mathematica program. These equations ...

A profile is a relationship between a response variable and one or more independent variables being controlled during the time. Process Capability Indices (PCI) are measured to evaluate the performance of processes in producing conforming products. Despite frequent applications of profile and a variety of available methods to monitor its different types, little researches have been carried out ...

This research develops a method for discovering functional sites of amino acid sequences using an Inductive Logic Programming (ILP) method with sorted variable generalization. Functional sites provide clues to building a knowledge base for prediction of protein functions from amino acid sequences. The proposed method generates hypotheses of functional sites directly from aligned amino acid sequ...

conclusions the use of variable-angle locking plates in treating unstable distal end radius fractures is associated with excellent to good functional outcomes with minimal complications. objectives this study aimed to evaluate the functional and radiological outcomes in unstable distal end radius fractures treated with variable-angle locking plates. patients and methods we reviewed 23 unstable ...

The problem of nonparametrically predicting a scalar response variable from a functional predictor is considered. A sample of pairs (functional predictor and response) is observed. When predicting the response for a new functional predictor value, a semi-metric is used to compute the distances between the new and the previously observed functional predictors. Then each pair in the original samp...

Functional linear regression is a useful extension of simple linear regression and has been investigated by many researchers. However, the functional variable selection problem when multiple functional observations exist, which is the counterpart in the functional context of multiple linear regression, is seldom studied. Here we propose a method using a group smoothly clipped absolute deviation...

We model notions of computation using algebraic operations and equations. We show that these generate several of the monads of primary interest that have been used to model computational effects, with the striking omission of the continuations monad. We focus on semantics for global and local state, showing that taking operations and equations as primitive yields a mathematical relationship tha...