quality learning environments within five disciplinary contexts across a range of HE institutions. Meyer’s notion of a threshold concept was introduced into project discussions on learning outcomes as a particular basis for differentiating between core learning outcomes that represent ‘seeing things in a

Motivation. Spotted arrays are often printed with probes in duplicate or triplicate, but current methods for assessing differential expression are not able to make full use of the resulting information. Usual practice is to average the duplicate or triplicate results for each probe before assessing

Abstract. A practical and accessible introduction to numerical methods for stochastic differential equations is given. The reader is assumed to be familiar with Euler's method for deterministic differential equations and to have at least an intuitive feel for the concept of a random variable

be differentiated. Using data from Ward’s compendium, cluster analysis is used to determine how these ships differ from each other. The analyses reveal six clusters by which the cruise lines differentiate their services. These results have implications for the marketing of services in the cruise line industry.

-difference labeling. The mass-difference concept for many practical purposes is limited to a binary (2-plex) set of reagents, and this makes comparison of multiple states (e.g. several experimental controls or time-course studies) difficult to undertake. Multiple 2-plex datasets can be combined after separate

Abstract. Recently there has been a growing interest in designing efficient methods for the so-lution of ordinary/partial differential equations with random inputs. To this end, stochastic Galerkin methods appear to be superior to other nonsampling methods and, in many cases, to several sampling

on the differential sensitivity of corporate investment to cash �ow. Kaplan and Zingales {1997} (hereinafter, KZ) provide both theoretical arguments and empirical evidence that this differential sensitivity is not a valid measure of �nancing constraints. Fazzari, Hubbard, and Petersen {2000} (hereinafter, FHP {2000

space. The new algorithm is very simple, making use of differential equations and is easily solved in practice. Finally, we implement the method by finite differences, and we present various numerical results on real textured images, showing the obtained decomposition u + v, but we also show how

of discrimination accuracy and response criterion. The influence of perceptual learning and differen-tiation processes in the ORB are discussed, in addition to the practical implications of this phenomenon. She based her identification on Smith's eyes, which she said were greenish-blue

We present a new approach to inference in Bayesian networks which is based on representing the network using a polynomial and then retrieving answers to probabilistic queries by evaluating and differentiating the polynomial. The network polynomial itself is exponential in size, but we show how