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Adaptation of parameters and operators represents one of the recent most important and promising areas of research in evolutionary computations; it is a form of designing self-configuring algorithms that acclimatize to suit the problem in hand. Here, our interests are on a recent breed of hybrid evolutionary algorithms typically known as adaptive memetic(More)
Clinical studies involving patients with myelodysplastic syndromes or multiple myeloma have shown the efficacy of lenalidomide by reducing and often eliminating malignant cells while restoring the bone marrow function. To better understand these clinical observations, we investigated and compared the effects of lenalidomide and a structurally related(More)
OBJECTIVE To examine the efficacy of tonsillectomy in ameliorating symptoms and preventing recurrence of episodes in children with PFAPA syndrome (periodic fever, aphthous stomatitis, pharyngitis, and adenitis). DESIGN Retrospective case series. SETTING Tertiary care children's hospital. PATIENTS Patients who presented to a major tertiary teaching(More)
There are many areas where objects wit.-very complex and sometimes interdependent features are to be classified; similarities and dissimilarities are to be evaluated. This makes a complex decision model difficult to construct effectively. Fuzzy signatures are introduced to handle complex structured data and interdependent feature problems. Fuzzy signatures(More)
Use of relevance feedback (RF) in the feature vector model has been one of the most popular approaches to fine tune query for content-based image retrieval (CBIR) systems. This paper proposes a framework that extends the RF approach to capture the inter-query relationship between current and previous queries. By using the feature vector model, this approach(More)
(2010) How does desktop virtual reality enhance learning outcomes? A structural equation modeling approach. It is posted here for your personal use. No further distribution is permitted. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript.(More)
Reservoir characterization especially well log data analysis plays an important role in petroleum exploration. This is the process used to identify the potential for oil production at a given source. In recent years, support vector machines (SVMs) have gained much attention as a result of its strong theoretical background. SVM is based on statistical(More)
BACKGROUND Lower extremity peripheral arterial disease (PAD) is underdiagnosed and undertreated in Canada, although data are limited. We sought to measure PAD prevalence and treatment patterns in ambulatory settings. METHODS Five trained undergraduate pharmacy students screened subjects > 50 years of age in 10 community pharmacies and 4 physician offices(More)