reciprocity is brief but admirably clear in explicating these processes as they might foster altruism (defined nonpsychologically, as net reproductive sacrifice). He appears to endorse the common belief that selection between groups for altruism is a weak force because it “seems likely to be a slow process, while the subversion of groups from within seems likely to be a fast one” (p. 121). True...

Most ab initio pseudoknot predicting methods provide very few folding scenarios for a given RNA sequence and have low sensitivities. RNA researchers, in many cases, would rather sacrifice the specificity for a much higher sensitivity for pseudoknot detection. In this study, we introduce the Pseudoknot Local Motif Model and Dynamic Partner Sequence Stacking (PLMM_DPSS) algorithm which predicts a...

 We consider generalized semi-infinite programming problems in which the index set of the inequality constraints depends on the decision vector and all emerging functions are assumed to be convex. Considering a lower level constraint qualification, we derive a formula for estimating the subdifferential of the value function. Finally, we establish the Fritz-John necessary optimality con...

Risinger GM Jr, Updike DL, Bullen EC, Tomasek JJ, Howard EW. TGFsuppresses the upregulation of MMP-2 by vascular smooth muscle cells in response to PDGF-BB. Am J Physiol Cell Physiol 298: C191–C201, 2010. First published October 21, 2009; doi:10.1152/ajpcell.00417.2008.—During platelet-derived growth factor (PDGF)-BB-mediated recruitment to neovascular sprouts, vascular smooth muscle cells (VSM...

Few things give me greater pleasure than reading good prose. I've been reading an unbroken series of what I snobbishly call "good books" – Dickens, Trollope, Hemingway, Powell, Austen, Eliot, Conrad, James, Proust, Balzac, Roth, Updike, McEwan, and the like – since I was a teenager. Beside my bed I have a copy of Harold Bloom's The best poems of the English language: from Chaucer to Frost. Bloo...

This paper addresses the problem of inference for a multinomial regression model in the presence of likelihood monotonicity. This paper proposes translating the multinomial regression problem into a conditional logistic regression problem, using existing techniques to reduce this conditional logistic regression problem to one with fewer observations and fewer covariates, such that probabilities...

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