SUMMARY Q-Gene is an application for the processing of quantitative real-time RT-PCR data. It offers the user the possibility to freely choose between two principally different procedures to calculate normalized gene expressions as either means of Normalized Expressions or Mean Normalized Expressions. In this contribution it will be shown that the calculation of Mean Normalized Expressions has ...

The coupled Navier-Stokes and Q-Tensor system is one of the models used to describe the behavior of the nematic liquid crystals. The existence of weak solutions and a uniqueness criteria have been already studied (see [11] for a Cauchy problem in the whole R3 and [7] for a initial-boundary problem in a bounded domain Ω). Nevertheless, results on strong regularity have only been treated in [11] ...

The class of q-Horn Boolean expressions, generalizing the important classes of quadratic, Horn, and disguised Horn formulae, has been introduced in Boros et al. (1990). It has been shown there that the satisfiability problem corresponding to a disjunctive normal form CJ is solvable in time, linear in the size of 4, if C$ is known to be q-Horn. However, the recognition of such formulae was based...

The diffusion model (Ratcliff, 1978) and the leaky competing accumulator model (LCA, Usher & McClelland, 2001) were tested against two-choice data collected from the same subjects with the standard response time procedure and the response signal procedure. In the response signal procedure, a stimulus is presented and then, at one of a number of experimenter-determined times, a signal to respond...

Optimization of first-passage times is required in applications ranging from nanobots navigation to market trading. In such settings, one often encounters unevenly distributed noise levels across the environment. We extensively study how a learning agent fares 1- and 2- dimensional heated gridworlds with an uneven temperature distribution. The results show certain bias effects agents trained vi...