Mechanosensitive afferent units in the hypogastric nerve of the cat

1. Recordings have been made from ninety single afferent units in the hypogastric and lumbar splanchnic nerves of the cat. 2. The majority of units examined had properties similar to those previously described in the splanchnic nerve: they were slowly adapting mechanoreceptors with one to six punctate mechanosensitive sites distributed mainly along blood vessels as they approached the viscera in peritoneal ligaments; they had a wide range of mechanical thresholds and conduction velocities in the range 0.5-24 m s-1. 3. Receptive fields were found over the bladder base or its peritoneal ligaments or both, on the uterus or broad ligament or both, on the colon or mesocolon or both, and in association with the ureter, vas deferens, prostate or pelvic fat pads. 4. Discharges from afferent units associated with the bladder were investigated during spontaneous (or reflex) bladder contractions, passive distensions, and tetanic contractions induced by electrical stimulation of the sacral spinal cord. The mean spike rates of the adapted (tonic) discharges, observed during distensions and induced tetani, differed over part of the range of intravesical pressures examined. Their behaviour is discussed in relation to the concept of 'in series' tension receptors within the bladder wall.     

Computed tomographic angiography of the thoracic vessels: the method, initial experience and outlook for its use

The paper presents the data available in the literature on computed tomographic angiography and the first experience with it to study thoracic vessels. It details the principles of spiral computed tomography and CT angiography. Practical aspects of their implementation, as well as basic concepts are outlined. It is concluded that CT angiography is promising in studying thoracic vessels in various abnormalities.     

Ein Multi-Agentensystem für die modellbasierte Echtzeit-Fehlerdiagnose

Real-time AI systems, among them multiagent systems, are gaining importance in complex technical applications. This paper presents VEX, an ambitious multiagent system for model-based real-time fault diagnosis in modular production systems. The architecture comprises several process agents, a simulation agent and a user agent. We discuss the most interesting characteristics of this real-time AI architecture. As implementation examples we present the multi-DSP core of the simulation agent, the client-server communication protocol for the process agents and the user agent’s graphical interface.