Automated classification of simulated wind field patterns from multiphysics ensemble forecasts

In this study, we have proposed an automated classification approach to identify meaningful patterns in wind field data. Utilizing an extensive simulated wind database, we have demonstrated that the proposed approach can identify low‐level jets, near‐uniform profiles, and other patterns in a reliable manner. We have studied the dependence of these wind profile patterns on locations (eg, offshore vs onshore), seasons, and diurnal cycles. Furthermore, we have found that the probability distributions of some of the patterns depend on the underlying planetary boundary layer schemes in a significant way. The future potential of the proposed approach in wind resource assessment and, more generally, in mesoscale model parameterization improvement is touched upon in this paper.     

Fatal Attraction: How Bacterial Adhesins Affect Host Signaling and What We Can Learn from Them

The ability of bacterial species to colonize and infect host organisms is critically dependent upon their capacity to adhere to cellular surfaces of the host. Adherence to cell surfaces is known to be essential for the activation and delivery of certain virulence factors, but can also directly affect host cell signaling to aid bacterial spread and survival. In this review we will discuss the recent advances in the field of bacterial adhesion, how we are beginning to unravel the effects adhesins have on host cell signaling, and how these changes aid the bacteria in terms of their survival and evasion of immune responses. Finally, we will highlight how the exploitation of bacterial adhesins may provide new therapeutic avenues for the treatment of a wide range of bacterial infections.     

Semi‐Markovian modelling and performance analysis of variable rate traffic in ATM networks

Semi‐Markovian processes (SMP) serve as a versatile means to model various traffic types generated by sources or superposed from links in ATM networks. An efficient discrete time analysis method is proposed for SMP/G/1 queueing systems to evaluate ATM switches with non‐renewal input. Some basic results are derived for the autocorrelation function of semi‐Markovian processes and for the effect of state space reduction on autocorrelation, which show how to represent correlated traffic with given characteristic by an adequate SMP model of limited size. This revised version was published online in June 2006 with corrections to the Cover Date.     

Gebrauchsgegenst?nde

Ohne Zusammenfassung     

Über die Anwendung von Ionensensitiven Feldeffekttransistoren zur Untersuchung von Korrosionsvorgängen

On the application of ion sensitive field-effect transistors for the investigation of corrosion phenomena Ion sensitive field-effect transistors (ISFET) are chemical sensors based on semiconductor technology. They exhibit small dimensions, a plane measuring surface and have short response times. Thus, they are very suitable for the determination of local changes of the pH value at electrochemical corrosion studies. The described in this paper experimental set-up allows in situ measurements of the pH value by means of ISFET sensors in amounts of liquids below 1 mm³; the active surface area of the material under test may be below 1 mm². In model tests preferably changes of the pH value of dist. water due to the corrosion of steel St 38 have been investigated. After an initial short-time rise caused by oxygen reduction a decay of the pH value to pH = 3 ?4 was obseved. Furthermore, ISFET sensors have been used as a potential probe for electrochemical polarization measurements in low conductive media. It was shown, that the dynamic behaviour of potentiostatic control circuits may be influenced favourably by the low output resistance of the ISFET.