In this paper we describe a decision procedure for the core theory of xed-sized bit-vectors with extraction and composition than can readily be integrated into Shostak's procedure for deciding combinations of theories. Inputs to the solver are unquantiied bit-vector equations t = u and the algorithm returns true if t = u is valid in the bit-vector theory, false if t = u is unsatissable, and a s...

Adenoviral vectors have shown a great potential for vaccine development due to their inherent ability to induce potent and protective CD8 T-cell responses. However, a critical issue regarding the use of these vectors is the existence of inhibitory immunity against the most commonly used Ad5 vector in a large part of the human population. We have recently developed an improved adenoviral vaccine...

qi = 1, pA ≥ v ≥ Aq. The number v is known as the value of game. The pair (p, q) is known as an equilibrium for the matrix game. As usual, x ≥ 0 means that every entry of the vector x is ≥ 0. We write y ≤ t for a vector y and a number t if every entry of y is ≤ t. We go even further in abusing notation, denoting by y− t the vector obtaining from y by subtracting t from every entry. Similarly we...

Let (x(t), y(t))⊤ be a solution of a Fuchsian system of order two with three singular points. The vector space of functions of the form P (t)x(t) +Q(t)y(t), where P,Q are real polynomials, has a natural filtration of vector spaces, according to the asymptotic behaviour of the functions at infinity. We describe a two-parameter class of Fuchsian systems, for which the corresponding vector spaces ...

Useful Matlab Commands • help plot: gives help on the command plot. • t=-5:0.01:5: this generates a vector with elements from -5 to 5, with a stepsize of 0.01. • x=cos(t): this generates a vector of values of cos corresponding to the values of t in the vector t. • plot(t,x): plot the cos-function. • z=3+1j*5 or z=3+5j: The complex number z = 3 + 5i. • abs(z),angle(z): modulus and phase of the c...

The Simpliied Adaptive Resonance Theory (SART) class of networks is proposed to handle problems encountered in Adaptive Resonance Theory 1 (ART 1)-based algorithms when detection of binary and analog patterns is performed. The basic idea of SART is to substitute ART 1-based \unidirectional" (asymmetric) activation and match functions with \bidirectional" (symmetric) function pairs. This substit...