conclusions the accompanying case series suggests that this protocol is deserving of randomized, prospective study. results c-rfa of the genicular nerves after using the described selection protocol resulted in > 90% pain reduction, improved function and avoidance of surgery at 6 months in all four cases. all opioid and analgesic medication use decreased or was unchanged in all cases. no seriou...

using the effective management tools that are relevant tothe organization’s needs for excellence has become so important for thecompanies to improve their performances and then increase customersatisfaction and gain market shares. quality function deployment is anefficient and powerful tool in design, development, and planning of products.the main function of quality function deployment is conv...

A characteriation of continuity of the $p$-$Lambda$-variation function is given and the Helly's selection principle for $Lambda BV^{(p)}$ functions is established. A characterization of the inclusion of Waterman-Shiba classes into classes of functions with given integral modulus of continuity is given. A useful estimate on modulus of variation of functions of class $Lambda BV^{(p)}$ is found.

We examine a popular practitioner methodology used in the construction of linear factor models whereby particular factors are increased or decreased in relative importance within the model. This allows model builders to customise models and, as such, reflect those factors that the client and modeller may think important. We call this process Pragmatic Bayesianism (or prag-Bayes for short) and w...

Introduction: Automatic arterial input function (AIF) selection has an essential role in quantification of cerebral perfusion parameters. The purpose of this study is to develop an optimal automatic method for AIF determination in dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) of glioma brain tumors by using a new preprocessing method.Material and Methods: For this study, ...

Stochastic linear quadratic portfolio selection problem for relative return process is to maximize the expected linear quadratic function of the relative return process. We introduce the benchmark process and define the relative return process as quotient which is obtained when the wealth process is divided by the benchmark process. We derive the optimal portfolio in closed form via investigati...