We first develop a discrete-time, switched linear model of the formation translational dynamics in which the the measurement vector is characterized in terms of the edge matrix of a graph associated with the sensing topology.
The serologic reactivity of horses, dogs, and humans to R. rickettsii antigen in BSF-endemic areas where A. cajennense is the main vector is characterized by a high frequency of serologically positive horses, followed by a lower frequency in dogs, and an even lower frequency or absence of serologically positive humans (17 ).
The vectors are characterized in respect to their ability to neutralize, bind and compact plasmid DNA (pDNA).
The obtained loaded vectors were characterized by DLS, SAXS, SANS and zeta potential measurements in order to define the overall properties and structural details of loaded liposomes.
We study the problem of approximate decoding for inter-dependent sources where the difference between source vectors is characterized by a unimodal distribution.
These vectors are characterized by the correlation matrices: R e = D = D(b) = diag(b) (a diagonal matrix with vector b at its principal diagonal), R n, and R u = < S ̃ R e S ̃ + > p + R n, respectively, where <·> pdefines the averaging performed over the randomness of Δ characterized by the usually unknown probability density function p, and superscript "+" stands for Hermitian conjugate.
These vectors are characterized by the correlation matrices:R e D D(b) diag(b) (a diagonal matrix with vector b at its principal diagonal),, and + R n, respectively, where defines the averaging performed over the randomness of characterized by the probability density function p unknown to the observer, and superscript + stands for Hermitian conjugate (conjugate transpose).
Retroviral vectors are characterized by integration into the host genome and although this evokes long-term transgene expression, there are also some safety concerns with insertional mutagenesis and activation of oncogenes in normal tissues.
