Inhibition of gastric acid secretion is caused when the mucosa of the upper small intestine is bathed either by fat (Feng, Hou, and Lim, 1929), acid (Sokolov, 1904) or hyperosmolar solutions (Konturek and Grossman, 1965). The studies of Andersson (1960) suggest that the inhibition caused by acid in the duodenum is mediated by a humoral agent. There is therefore interest in the possible inhibito...

A Stochastic Kinetic Model (SKM) is a continuous-time pure jump process describing the dynamic evolution of the state of the molecular network, x(t). Any change in x(t) is the result of the occurrence of some biochemical reaction, m. The stoichiometric matrix is given by S := [S1, S2, ..., SM ], where the column vector Sm consists of the changes in the number of molecules of each species caused...

Antiquity / Volume 90 / Issue 350 / April 2016, pp 376 392 DOI: 10.15184/aqy.2016.6, Published online: 06 April 2016 Link to this article: http://journals.cambridge.org/abstract_S0003598X16000065 How to cite this article: Monica L. Smith, Thomas W. Gillespie, Scott Barron and Kanika Kalra (2016). Finding history: the locational geography of Ashokan inscriptions in the Indian subcontinent. Antiq...

We propose an improvement of the Gillespie algorithm allowing us to study the time evolution of an ensemble of chemical reactions occurring in a varying volume, whose growth is directly related to the amount of some specific molecules, belonging to the reactions set. This allows us to study the stochastic evolution of a protocell, whose volume increases because of the production of container mo...

We describe how we selectively reformulate portions of a belief network that pose difficul­ ties for solution with a stochastic-simulation algorithm. With employ the selective con· ditioning approach to target specific nodes in a belief network for decomposition, based on the contribution the nodes make to the tractability of stochastic simulation. We re­ view previous work on BNRAS algorithms­...

Biochemical reaction systems with a low to moderate number of molecules are typically modeled as discrete jump Markov processes. These systems are oftentimes simulated using the Gillespie Algorithm or the Next Reaction Method, which are exact simulation methods. In this paper we make explicit use of the fact that the initiation times of each reaction are given by the firing times of an independ...

The inhomogeneous stochastic simulation algorithm (ISSA) is a fundamental method for spatial stochastic simulation. However, when diffusion events occur more frequently than reaction events, simulating the diffusion events by ISSA is quite costly. To reduce this cost, we propose to use the time dependent propensity function in each step. In this way we can avoid simulating individual diffusion ...

Motivated by problems in the spectral theory of linear operators the authors previously introduced a new concept of variation for functions defined on a nonempty compact subset of the plane. In this paper we examine the algebras of functions of bounded variation one obtains from these new definitions for the case where the underlying compact set is either a rectangle or the unit circle, and com...