Eine einfache Gelfiltrationsmethode zur routinemäßigen Messung der in vitro-Bindung von markiertem Trijodthyronin an Serumeiweiße

Peer Reviewe

MAGNETIC RESONANCE AND THE PROBLEM OF THE DEFINITION OF ANTIFERROELECTRICITY

Contraire au cas des ferroélectriques, l'attribution « antiferroélectrique » nécessite des données sur le cristal qui s'étendent au-delà du niveau macroscopique (groupe ponctuel). Comme illustré par l'exemple du périodate d'ammonium ces informations détaillées peuvent être obtenues par l'étude des interactions quadripolaires. On souligne que la définition de l'antiferroélectricité doit être restreinte aux cristaux, dans lesquels des interactions électriques sont essentielles pour le mécanisme qui provoque la transition de phase.In contrast to the case of ferroelectrics the assignment of antiferroelectricity presupposes information on the crystal which goes beyond the macroscopic (point group symmetry) level. Illustrated by the example of ammonium periodate these full data may be obtained by the study of nuclear quadrupole interactions. It is emphasised that the definition of antiferroelectricity has to be restricted to crystals, in which electric interactions are essential for the driving mechanism of the phase transition

Ethernet based time synchronization for Raspberry Pi network improving network model verification for distributed active turbulent flow control

Friction drag primarily determines the total drag of transport systems. A promising approach to reduce drag at high Reynolds numbers (> 104) are active transversal surface waves in combination with passive methods like a riblet surface. For the application in transportation systems with large surfaces such as airplanes, ships or trains, a large scale distributed real-time actuator and sensor network is required. This network is responsible for providing connections between a global flow control and distributed actuators and sensors. For the development of this network we established at first a small scale network model based on Simulink and TrueTime. To determine timescales for network events on different package sizes we set up a Raspberry Pi based testbed as a physical representation of our first model. These timescales are reduced to time differences between the deterministic network events to verify the behavior of our model. Experimental results were improved by synchronizing the testbed with sufficient precision. With this approach we assure a link between the large scale model and the later constructed microcontroller based real-time actuator and sensor network for distributed active turbulent flow control