Autoantibody response to chromatographic fractions from oxidized LDL in unstable angina patients and healthy controls

Levels of autoantibodies to oxidized low-density lipoprotein (oxLDL) have been correlated to atherosclerosis; however, contradictory results have been shown. To better understand the role of autoantibodies to oxLDL in atherogenesis, and their potential to predict risk of developing coronary artery disease we investigated the antibody response of unstable angina (UA) patients and healthy controls against chromatographic separated fractions of oxLDL. Five major peaks were detected after chromatographic separation of oxLDL and 10 fractions were collected. Surprisingly, when the response to high molecular weight fractions was analysed, we observed a significant increase in the levels of autoantibodies in controls compared to UA. In contrast, when the autoantibody response to intermediate and low molecular weight fractions was analysed, we observed that the UA group showed consistently higher levels compared with controls. Our data demonstrates that within oxLDL there are major fractions that can be recognized by autoantibodies from either UA patients or healthy individuals, and that the use of total oxLDL as an antigen pool may mask the presence of some antigenic molecules and their corresponding antibodies. Further studies are needed, but the analysis of antibody profiles may indeed open up a novel approach for evaluation and prevention against atherosclerosis.

Prediction of dynamical, nonlinear, and unstable process behavior

Process scheduling techniques consider the current load situation to allocate computing resources. Those techniques make approximations such as the average of communication, processing, and memory access to improve the process scheduling, although processes may present different behaviors during their whole execution. They may start with high communication requirements and later just processing. By discovering how processes behave over time, we believe it is possible to improve the resource allocation. This has motivated this paper which adopts chaos theory concepts and nonlinear prediction techniques in order to model and predict process behavior. Results confirm the radial basis function technique which presents good predictions and also low processing demands show what is essential in a real distributed environment.

Reaction mechanisms for weakly-bound, stable nuclei and unstable, halo nuclei on medium-mass targets

An experimental overview of reactions induced by the stable, but weakly-bound nuclei (6)Li, (7)Li and (9)Be, and by the exotic, halo nuclei (6)He, (8)B, (11)Be and (17)F on medium-mass targets, such as (58)Ni, (59)Co or (64)Zn, is presented. Existing data on elastic scattering, total reaction cross sections, fusion processes, breakup and transfer channels are discussed in the framework of a CDCC approach taking into account the breakup degree of freedom.

Energy-momentum tensor in thermal strong-field QED with unstable vacuum

Themean value of the one-loop energy-momentum tensor in thermal QED with an electric-like background that creates particles from vacuum is calculated. The problem is essentially different from calculations of effective actions ( similar to the action of Heisenberg-Euler) in backgrounds that respect the stability of vacuum. The role of a constant electric background in the violation of both the stability of vacuum and the thermal character of particle distribution is investigated. Restrictions on the electric field and the duration over which one can neglect the back-reaction of created particles are established.