This paper analyzes the question of whether traders learn to coordinate on a trading institution that guarantees market clearing, or whether other market institutions can survive in the long run. While we find that the market clearing institution is indeed always stable under a general class of learning dynamics, it turns out that also other, non-market clearing institutions are stable. Hence, ...

OPTIMAL INTERVAL FOR STOCHASTIC CLEARING SYSTEMS Shoichi Nishimura University of Tsukuba (Received March 8, 1978; Revised September 8, 1978) Stochastic clearing systems can be applied to bulk-service queue and demand-responsive public-service systems. Customers (input) arrive at a service facility and form a queue waiting to be served. When a server arrives at a service facility, waiting custom...

S 797 plasma was llSCCl and in the high fat series when undiluted plasma was used. The experiInental results were submitted to detailed sh’.tistical analysis, and it was considered that in measurement of coagulation time the spread of readings within samples had far less effect on the experiments than the uncontrolled variability between samples. Variables that have to be considered include deg...

BACKGROUND The microvasculature is the network of blood vessels involved in delivering nutrients and gases necessary for tissue survival. Study of the microvasculature often involves immunohistological methods. While useful for visualizing microvasculature at the µm scale in specific regions of interest, immunohistology is not well suited to visualize the global microvascular architecture in an...

Tissue clearing allows microscopy of large specimens as whole mouse brains or embryos. However, lipophilic tissue clearing agents as dibenzyl ether limit storage time of GFP-expressing samples to several days and do not prevent them from photobleaching during microscopy. To preserve GFP fluorescence, we developed a transparent solid resin formulation, which maintains the specimens' transparency...

Increasing renewable generation can lead to significant spatial and temporal changes the rotor angle stability boundary, such that critical contingencies may drastically change. Additionally, inherent variability of renewables increases number operational scenarios require assessment. This paper presents a methodology whereby series location-specific Decision Tree Regressors are trained, using ...