44 research outputs found

    Experimental sleep fragmentation impairs attentional set-shifting in a rodent model of obstructive sleep apnea

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    Sleep fragmentation is a common symptom in sleep disorders and other medical complaints resulting in excessive daytime sleepiness. The present study seeks to explore the effects of sleep fragmentation on learning and memory in a spatial reference memory task and a spatial working memory task. Fisher/Brown Norway rats lived in custom treadmills designed to induce locomotor activity every 2 minutes throughout a 24 hour period. Separate rats were either on a treadmill schedule that allowed for consolidated sleep or experienced no locomotor activation. Rats were tested in one of two water maze based tests of learning and memory immediately following 24 hours of sleep interruption (SI). Rats tested in a spatial reference memory task (8 massed acquisition trials) with a 24 hour follow-up probe trial to assess memory retention showed no differences in acquisition performance but were impaired on the 24 hour retention of the platform location. In contrast, the performance of rats tested in a spatial working memory task (delayed matching to position task) was not impaired. Therefore, sleepiness induced by SI effectively impairs the recall of spatial reference memories but does not impair spatial reference memory acquisition or spatial working memory in Fischer-Norway rats

    I.: The Path Less Travelled: Overcoming Tor’s Bottlenecks with Traffic Splitting

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    Abstract. Tor is the most popular low-latency anonymity network for enhancing ordinary users ’ online privacy and resisting censorship. While it has grown in popularity, Tor has a variety of performance problems that result in poor quality of service, a strong disincentive to use the system, and weaker anonymity properties for all users. We observe that one reason why Tor is slow is due to lowbandwidth volunteer-operated routers. When clients use a low-bandwidth router, their throughput is limited by the capacity of the slowest node. With the introduction of bridges—unadvertised Tor routers that provide Tor access to users within censored regimes like China—low-bandwidth Tor routers are becoming more common and essential to Tor’s ability to resist censorship. In this paper, we present Conflux, a dynamic traffic-splitting approach that assigns traffic to an overlay path based on its measured latency. Because it enhances the load-balancing properties of the network, Conflux considerably increases performance for clients using low-bandwidth bridges. Moreover, Conflux significantly improves the experience of users who watch streaming videos online. Through live measurements and a whole-network evaluation conducted on a scalable network emulator, we show that our approach offers an improvement of approximately 30 % in expected download time for web browsers who use Tor bridges and for streaming application users. We also show that Conflux introduces only slight tradeoffs between users ’ anonymity and performance.
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