In order to apply a statistical approach to the classification of multisource remote-sensing data, one of the main problems to face lies in the estimation of probability distribution functions. This problem arises out of the difficulty of defining a common statistical model for such heterogeneous data. A possible solution is to adopt nonparametric approaches, which rely on the availability of t...

Objective: Substance dependence is the most critical biopsychosocial and legal problem. It has various harmful effects at the individual, familial, and society levels. The current study aimed to determine the effect of mindfulness-based cognitive therapy on reducing the intensity of substance dependence and improving cognitive emotion regulation in substance-dependent patients under methadone m...

In 1997, Macal and Hurter [7] have found that adding a constraint to the lower level problem, which is not active at the computed global optimal solution, can destroy global optimality. In this paper this property is reconsidered and it is shown that this solution remains locally optimal under inner semicontinuity of the original solution set mapping. In the second part of the paper we prove th...

With the rise of multi-core consumer hardware, today’s software developers face the challenging task of refactoring existing sequential code assets with a view to exploiting modern multi-core processors’ parallel execution capabilities. While there is a growing range of methods to support parallelism in software products, a software engineer nonetheless has to decide which parts of an already e...

We introduce a dynamic scheme that captures the access patterns of linked data structures and can be used to predict future accesses with high accuracy. Our technique exploits the dependence relationships that exist between loads that produce addresses and loads that consume these addresses. By identifying producer-consumer pairs, we construct a compact internal representation for the associate...

The current analysis of low power concentrates mainly on the static analysis. The dynamic aspects, which depends on the data, are less exploited. In this paper, we address some dynamic aspects for low power design.