. The consecutive scores are plotted from the amino to the carboxy terminus. At the same time, a midpoint line is printed that corresponds to the grand average of the hydropathy of the amino acid compositions found in most of the sequenced proteins. In the case of soluble, globular proteins there is a remarkable

very simple network leads to some interesting mathematics, results, and open problems.

. Mammalian cell lines are grown in media lacking a standard essential amino acid but supplemented with a non-radioactive, isotopically labeled form of that amino acid, in this case deuterated leucine (Leu-d3). We find that growth of cells maintained in these media is no different from growth in normal media

control and feedback. The paper concludes by presenting a simple case study to illustrate a cognitive network and its framework.

simultaneous alternative hypotheses. Extensions to the Kalman filter to handle multiple data associations work satisfactorily in the simple case of point targets, but do not extend naturally to continuous curves. A new, stochastic algorithm is proposed here, the Condensation algorithm --- Conditional

this paper, we will describe a simple rule-based approach to automated learning of linguistic knowledge. This approach has been shown for a number of tasks to capture information in a clearer and more direct fashion without a compromise in performance. We present a detailed case study

respectively, though the methods presented are not limited to these simple cases.

With the proliferation of multicore processors, and the anticipation of “many-core, ” it has become commonplace to predict dire consequences if researchers fail to make it easy for rank-and-file programmers to write correct, efficient parallel code. Certainly anyone who has taught traditional concurrency knows that students have great difficulty with the subject. Much of the pedagogical problem, I believe, stems from a tendency to introduce material in the way it developed historically, starting with data races and the implementation of mutual exclusion (and today including, by necessity, memory consistency models). In the “real world, ” only concurrency wizards introduce low-level data races into their code on purpose. Above the level of wizards, there would seem

This paper presents a simple discrete-time model for valumg optlons. The fundamental econonuc principles of option pricing by arbitrage methods are particularly clear In this setting. Its development requires only elementary mathematics, yet it contains as a special limiting case the celebrated

of the constrained model-space transform from the simple diagonal case to the full or block-diagonal case. The constrained and unconstrained transforms are evaluated in terms of computational cost, recognition time efficiency, and use for speaker adaptive training. The recognition performance of the two model