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Anti-viral therapy is comparatively very effective for patients who get affected by the hepatitis B virus. It is of prime importance to understand the different relations among the viruses, immune responses and overall health of the liver. In this paper, mathematical modeling is done to analyze and understand the effect of antiviral therapy using LHAM which describes the possible relation to HBV and target liver cells. The numerical simulations and error analysis are done up to a sixth-order approximation with the help of Matlab. This paper analyzes how the number of infected cells largely gets reduced and also how the liver damage can be controlled. Therefore, the treatment is successful for HBV infected patients. [ABSTRACT FROM AUTHOR]

Temporal logic query checking was first introduced by W. Chan in order to speed up design understanding by discovering properties not known a priori. A query is a temporal logic formula containing a special symbol ?1, known as a placeholder. Given a Kripke structure and a propositional formula δ, we say that δ satisfies the query if replacing the placeholder by δ results in a temporal logic formula satisfied by the Kripke structure. A solution to a temporal logic query on a Kripke structure is the set of all propositional formulas that satisfy the query. Query checking helps discover temporal properties of a system and, as such, is a useful tool for model exploration. In this paper, we show that query checking is applicable to a variety of model exploration tasks, ranging from invariant computation to test case generation. We illustrate these using a Cruise Control System. Additionally, we show that query checking is an instance of a multi-valued model checking of Chechik et al. This approach enables us to build an implementation of a temporal logic query checker, TLQSolver, on top of our existing multi-valued model checker χChek. It also allows us to decide a large class of queries and introduce witnesses for temporal logic queries--an essential notion for effective model exploration. [ABSTRACT FROM AUTHOR]

Model checking is a technique to decide whether a system modeled by a state graph satisfies a temporal logic formula. A serious problem in model checking of practical systems is that the size of the state graphs becomes huge. One solution of this problem is symbolic model checking, in which sets of states and transition relations over states are represented and handled symbolically. This research studies symbolic model checking in which realtime systems are modeled by time Petri nets and specifications are expressed by computation tree logic formulas. As realtime systems potentially have infinite state spaces, techniques to reduce infinite state spaces to finite ones are necessary. This paper discusses a technique based on equivalence classes, called regions, of states as well as a technique to restrict the behavior of time Petri nets so that transitions fire only at integer times. The algorithm in the former approach is presented in detail and then some experimental results are shown. © 1997 Scripta Technica, Inc. Electron Comm Jpn Pt 3, 80(4): 11–20, 1997 [ABSTRACT FROM AUTHOR]