PURPOSE To review integrated care interventions and their effects on the quality of care for patients with cancer. DATA SOURCES Search in Medline and Cochrane Library databases from January 1996 to October 2006. STUDY SELECTION Randomized controlled trials and controlled before-after studies in which the intervention focused on at least one of the three principles of integrated care: patien...

Active noise control is a technique in which unwanted sound, noise, is cancelled by introducing controllable secondary sources. Active noise control is applied to various applications from active hearing protectors to active attenuation of aircraft cabin noise. In the selection of appropriate ANC strategy to an application, several aspects have to be considered. In this paper, selection of acti...

Recent interest in the time-to-execution as a measure of market quality in order-driven markets coincides with the emerging empirical research on this topic. We build on recent theoretical models of dynamic limit order book to construct an estimation procedure that tests the e¤ect of the expected time-to-execution on order aggressiveness, taking into account the simultaneous determination of th...

In this paper we present randomized algorithms for selection on the hypercube. We identify two variants of the hypercube namely, the sequential model and the parallel model. In the sequential model, any node at any time can handle only communication along a single incident edge, whereas in the parallel model a node can communicate along all its incident edges at the same time. We specify three ...

Case-based reasoning (CBR) systems have tight connections with machine learning and knowledge discovery and often incorporate diverse knowledge discovery functionalities and algorithms. This article presents themes identified in work presented at recent workshops on synergies between CBR and knowledge discovery. Among the main themes appear Big Data, with cases involving signals, images, texts,...

Post-silicon tuning is attracting a lot of attention for coping with increasing process variation. However, its tuning cost via testing is still a crucial problem. In this paper, we propose tuning-friendly body bias clustering with multiple bias voltages. The proposed method provides a small set of compensation levels so that the speed and leakage current vary monotonically according to the lev...

This paper presents extensions and improvements of previous work, where we defined a CBR system for action selection in the robot soccer domain. We show empirical results obtained with real robots, comparing our team playing approach with an individualist approach. Source URL: https://www.iiia.csic.es/en/node/55378 Links [1] https://www.iiia.csic.es/en/staff/raquel-ros [2] https://www.iiia.csic...

We investigate the problem of model selection for learning algorithms depending on a continuous parameter. We propose a model selection procedure based on a worst case analysis and data-independent choice of the parameter. For regularized least-squares algorithm we bound the generalization error of the solution by a quantity depending on few known constants and we show that the corresponding mo...

The optimal representative set selection problem is defined thus: given a set of test requirements and a test suite that satisfies all test requirements, find a subset of the test suite containing a minimum number of test cases that still satisfies all test requirements. Existing methods for solving the representative set selection problem do not guarantee that obtained representative sets are ...

Aspect-Oriented Programming (AOP) provides new constructs and tools to handle cross-cutting concerns in programs. Fully realizing the potentials of Aspect-Oriented Software Development requires new abstractions and techniques for testing. This paper proposes a first step towards a practical approach to test aspect-oriented software. The proposed approach is accompanied by a selection algorithm ...