In a probability guessing experiment, subjects try to guess which of two events will occur next. Humans tend to match the frequency of previous occurrences in their guesses. Animals other than humans tend to maximize or always choose the option that has occurred the most frequently in the past. Investigators have argued that frequency matching results from the attempt of humans to find patterns...

Hemisphere differences in word reading were examined using explicit and implicit processing measures. In an inclusion task, which indexes both conscious (explicit) and unconscious (implicit) word reading processes, participants were briefly presented with a word in either the right or the left visual field and were asked to use this word to complete a three-letter word stem. In an exclusion tas...

Let $L/k$ be a finite abelian extension of an imaginary quadratic number field $k$. $\mathfrak{p}$ denote prime ideal $\mathcal{O}_k$ lying over the rational $p$. We assume that splits completely in and $p$ does not divide class If is split $k/\mathbb{Q}$ first named author has adapted construction Solomon to obtain elliptic $\mathfrak{p}$-units $L$. In this paper we ge...

While many systems are naturally viewed as the interaction between a controller subsystem and a controlled, or plant subsystem, they are often most easily understood and designed monolithically. A practical implementation needs to separate controller from plant. We study the problem of when a monolithic ASM system can be split into controller and plant subsystems along syntactic lines derived f...

MRPC is an RPC system that is designed and optimized for MPMD parallel computing. Existing systems based on standard RPC incur an unnecessarily high cost when used on high-performance multi-computers, limiting the appeal of RPC-based languages in the parallel computing community. MRPC combines the efficient control and data transfer provided by Active Messages (AM) with a minimal multithreaded ...

Statistical machine learning methods, especially nonparametric Bayesian methods, have become increasingly popular to infer clonal population structure of tumors. Here we describe the treeCRP, an extension of the Chinese restaurant process (CRP), a popular construction used in nonparametric mixture models, to infer the phylogeny and genotype of major subclonal lineages represented in the populat...