international conferences on Standards and Ontologies for Functional Genomics (SOFG), held at the Wellcome Trust Genome Campus in Hinxton, UK in 2002 and at the University of Pennsylvania School of Medicine in Philadelphia, PA in 2004, have thus far been devoted to the topic of biomedical ontology. They served

Abstract—We consider the class of continuous-time autoregres-sive (CAR) processes driven by (possibly non-Gaussian) Lévy white noises. When the excitation is an impulsive noise, also known as compound Poisson noise, the associated CAR process is a random non-uniform exponential spline. Therefore, Poisson-type processes are relatively easy to understand in the sense that they have a finite rate of innovation. We show in this paper that any CAR process is the limit in distribution of a sequence of CAR processes driven by impulsive noises. Hence, we provide a new interpretation of general CAR processes as limits of random exponential splines. We illustrate our result with simulations. I.

The effect of dog-human interaction on cortisol and behavior in registered animal-

Relationship between the dietary intake of water and skin hydration Relação entre a ingestão dietária de água e a hidratação cutânea

nr 2000:13 Whiplash-associated injuries and disorders

effects of grape products

Abstract not found

Exploitation of semantic similarity for

Image processing can be taught very effectively by complementing the basic lectures with computer laboratories where the participants can actively manipulate and process images. This offering can be made even more attractive by allowing the students to develop their own image processing code within a reasonable time frame. After a brief review of existing software package that can be used for teaching IP, we present a system that we have designed to be as “student-friendly ” as possible. The software is built around ImageJ, a freely available, full-featured, and user-friendly program for image analysis. The computer sessions are given in alternation with the lectures; typically, a three-hour session at the end of every chapter. The sessions are in the form of assignments that guide the students towards the solution of simple imaging problems. The starting point is typically the understanding and testing of some standard image-processing algorithm in Java. Next, students are asked to extend the algorithms progressively. This constructive approach is made possible thanks to a programmer-friendly environment and an additional software interface layer that greatly facilitates the developments of plug-ins for ImageJ. Taking into account the fact that our students are not experienced programmers (they typically do not even know Java), we use a “learn by example ” teaching strategy, with good success. Keywords:

BioStar models of clinical and genomic data for