Purpose – The purpose of this paper is to examine the association between information and boundaries. Life depends on boundaries; but in order to survive an organism needs to make decisions based on an interpretation of the environment beyond its boundaries: it therefore needs information....

Purpose This paper reviews research developments in semiosis (sign activity) as theorized by Peirce, Eco and Sebeok, focusing specifically on the current study of “semiotic threshold zones,” which range from the origins of life through various nonhuman life forms to artificial life forms,...

Purpose – The aims of this paper are to: investigate the citation‐patterns of monograph books in taxonomic botany (looking mainly at publications and publishers, and the age of current literature); and make recommendations for collections management and reference services in libraries that...

Management of Pacific bonito in California is examined in this Management Information Document by a State-Federal team of scientists. Abundance of Pacific bonito in southern California has fallen dramatically between the 1963-1969 period and the 1974-1977 period. Since 1976 the commercia1 fleet...

We have examined the timing of specification of the pronephric tubules and duct in Xenopus laevis by explanting the presumptive pronephric rudiments into blastula ectodermal wraps. We have established I-he time point of specification using the monoclonal antibody markers 3G8 and 4A6 which...

The relative index of inequality (RII) is a commonly used measure of the extent to which the occurrence of an outcome such as chronic illness or early death varies with socioeconomic status or some other background variable. The standard RII estimator applies only to linear variation in...

In two-group discriminant analysis, the Neyman-Pearson Lemma establishes that the ROC, receiver operating characteristic, curve for an arbitrary linear function is everywhere below the ROC curve for the true likelihood ratio. The weighted area between these two curves can be used as a risk...

Inference for Dirichlet process hierarchical models is typically performed using Markov chain Monte Carlo methods, which can be roughly categorized into marginal and conditional methods. The former integrate out analytically the infinite-dimensional component of the hierarchical model and sample...