3,715 research outputs found
Print or Perish? Authors’ Attitudes Toward Electronic-Only Publication of Law Journals
An increasing number of U.S. law journals post at least current issues in freely accessible PDF and (in some cases) HTML formats on their web sites. Yet, perhaps without exception, the journals that make their articles freely available on their websites also continue to publish print issues in the face of declining subscription numbers, and law libraries\u27 growing disinterest in collecting and preserving journals in print. As universities reduce staff, freeze open positions, eliminate salary increases, and cut library budgets, why have law schools continued to subsidize print publication of journals that are accessible in electronic formats? Among the reasons suggested for this is the possible impact on a journals reputation and ability to attract authors if it moved to electronic-only publication. This paper reports on the results of a survey of law journal authors\u27 attitudes toward electronic-only law journals
Detecting adaptive evolution in phylogenetic comparative analysis using the Ornstein-Uhlenbeck model
Phylogenetic comparative analysis is an approach to inferring evolutionary
process from a combination of phylogenetic and phenotypic data. The last few
years have seen increasingly sophisticated models employed in the evaluation of
more and more detailed evolutionary hypotheses, including adaptive hypotheses
with multiple selective optima and hypotheses with rate variation within and
across lineages. The statistical performance of these sophisticated models has
received relatively little systematic attention, however. We conducted an
extensive simulation study to quantify the statistical properties of a class of
models toward the simpler end of the spectrum that model phenotypic evolution
using Ornstein-Uhlenbeck processes. We focused on identifying where, how, and
why these methods break down so that users can apply them with greater
understanding of their strengths and weaknesses. Our analysis identifies three
key determinants of performance: a discriminability ratio, a signal-to-noise
ratio, and the number of taxa sampled. Interestingly, we find that
model-selection power can be high even in regions that were previously thought
to be difficult, such as when tree size is small. On the other hand, we find
that model parameters are in many circumstances difficult to estimate
accurately, indicating a relative paucity of information in the data relative
to these parameters. Nevertheless, we note that accurate model selection is
often possible when parameters are only weakly identified. Our results have
implications for more sophisticated methods inasmuch as the latter are
generalizations of the case we study.Comment: 38 pages, in press at Systematic Biolog
Abstracts of theses and related literature indicating current trends in arithmetic for the academically talented elementary school child written between 1957 and 1961
Thesis (Ed.M.)--Boston Universit
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