and at Netley, he took the first place, and carried of all the prizes, viz., the Herbert Prize, Martin Memorial Gold Medal, Montefiore Medal, and Parke's Memorial Bronze Medal. At the close of the Session at the Army Medical School, Sir Galbraith Logan, K.C.B., in handing to Dr. Young, in succession, all these prizes and medals, made some happy references to t( the special advantages that might...

The web browser is the most important application runtime today, encompassing all types of applications on practically every Internet-connected device. Browsers power complete office suites, media players, games, and augmented and virtual reality experiences, and they integrate with cameras, microphones, GPSes, and other sensors available on computing devices. Many apparently native mobile and ...

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...

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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