The "Tau-Leap" strategy for stochastic simulations of chemical reaction systems due to Gillespie and co-workers has had considerable impact on various applications. This strategy is reexamined with Chebyshev's inequality for random variables as it provides a rigorous probabilistic basis for a measured τ-leap thus adding significantly to simulation efficiency. It is also shown that existing stra...

User mobility prediction can enable a mobile service provider to optimize the use of its network resources, e.g., through coordinated selection of base stations and intelligent content prefetching. In this paper, we study how to perform mobility prediction by leveraging the base station level location information readily available to a service provider. However, identifying real movements from ...

Fourteen adult frogs including six banded frog, Rana camerani and eight marsh frog, Rana ridibunda ridibunda were collected from two sites of Chahar Mahal-o-Bakhtiari province at the southwest of Iran and then were examined for helminth parasites. Only Dolichosaccus rastellus  (50%) was found in R. camerani, Skrjabinoeces similis (50%) and metacercarian cysts of Codonocephalus urniger (12.5%) w...

This paper discusses efficient simulation methods for stochastic chemical kinetics. Based on the tau-leap and midpoint tau-leap methods of Gillespie [D. T. Gillespie, J. Chem. Phys. 115, 1716 (2001)], binomial random variables are used in these leap methods rather than Poisson random variables. The motivation for this approach is to improve the efficiency of the Poisson leap methods by using la...

The first dedicated local electrode atom probes (LEAP [a trademark of Imago Scientific Instruments Corporation]) have been built and tested as commercial prototypes. Several key performance parameters have been markedly improved relative to conventional three-dimensional atom probe (3DAP) designs. The Imago LEAP can operate at a sustained data collection rate of 1 million atoms/minute. This is ...

LEAP is a coached practice environment that optimizes the learning process by maintaining and consulting a detailed student model. LEAP calculates a student model score for every action, exercise, and topic the student tries, then uses the scores both to provide feedback to the student and to select topics, exercises and actions for the student to practice. Using the student model to focus prac...

Two cognitive-motivational variables that help to solidify drinkers' intentions to drink are their alcohol attentional bias and their maladaptive motivation. The Alcohol Attention Control Training Programme (AACTP) was designed to rectify the former, and the Life Enhancement and Advancement Programme (LEAP) was designed to rectify the latter. The present study used a factorial design to compare...

An important goal of current work in computer-based learning environments is to develop systems that combine the richness and effectiveness of an individually crafted intelligent tutoring system (ITS) with the generality and flexibility of a computer-assisted instruction (CAI) authoring tool. Our effort to achieve this goal is demonstrated in the Learn, Explore and Practice (LEAP) ITS shell and...