The diagnosis of infections in patients with arthritis and/or joint prostheses requires interdisciplinary cooperation and the use of up-to-date methods. Massive bacterial infection can be identified by bacterial culture, and minimal infection can be detected by molecular pathological methods. These processes include specific enrichment of bacterial and fungal DNA, amplification, and identification of the DNA by gel electrophoresis, sequencing techniques, and chip technologies.Anamnesis (enteral or urogenital infection), the clinical picture (oligoarthritis), and further parameters (e.g., HLA B27 status) are important for the diagnosis of reactive arthritis. In many cases of reactive arthritis, molecular methods allow detection of bacterial DNA or RNA in synovial fluid or tissue. Molecular pathological methods allow the fast and reliable differential diagnosis of granulomatous synovialitis without prior cultivation of bacteria or fungi. The development of new molecular pathological methods for detecting bacterial and fungal nucleic acids will increase diagnostic accuracy.
We explore the statistics of such polarization measurements using Monte
Carlo simulations and chi-squared fitting methods. We compare our results to
Those derived using the traditional probability density used to characterize
Polarization measurements and quantify how they deviate as the intrinsic
Examine the joint effect of small scale fading and propagation path loss. Also,
We study cooperation in application to finite networks, i.e. when the number of
Cooperating nodes is small. Stochastic geometry and order statistics are used
To develop analytical models that tightly match the simulat...
We consider the applications of symmetry in
The context of quantum simulation. Building upon well established machinery, we
Propose a form of first quantized simulation that only requires the spatial
Part of the wave function, thereby allowing spin-free quantum computational
Simulations. We go furth...
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