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Caffeine Caused a Widespread Increase of Resting Brain Entropy | Scientific Reports
Indexing metadata. How to cite item. Finding References. Email this article Login required. A study on caffeine consumption and its association with stress and appetite among call centre employees in Mumbai city, India. Abstract Background: Caffeine is a widely consumed chemical having controversial effects. The aim of the study was to assess the caffeine intake, and it's association with appetite and stress levels among call centre employees aged between years Methods: A cross sectional study with purposive sampling was done from a call centre at Mumbai, India.
Conclusions: Caffeine had a negative impact on the appetite levels. Smoking was observed to worsen the effect of caffeine on appetite.
Full Text: PDF. References Smith A. Effects of caffeine on human behaviour. Food Chem Toxicol. Hewlett P, Smith A.
Correlates of daily caffeine consumption. GitHub is home to over 40 million developers working together to host and review code, manage projects, and build software together. Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub? Sign in to your account. Do you have any advice when I want to have a cache, where there are multiple values for a key? Basically we want to cache compiled queries.
A query is identified by a URI, but its compiled form is not thread-safe and so can only be used by a single-thread at a time. So we keep a stack of compiled queries, the stack can grow up to a max size , but will never shrink in the current design. This sounds kind of like my multi-way object pool prototype. I think the last commit broke it, but the previous one should work.
It could be ported to Caffeine, since Guava was the bottleneck and the last commit was unfinished and before Caffeine. It was just exploratory so unsupported and forgotten. You might prefer to use maximumWeight to disallow unbounded collections exploding the cache size. But, it will evict the entire value which is undesirable. I have to head off now, but I will take a look at your suggestions tomorrow AM.
Thanks Ben. Perhaps you want the asMap view and a computation?
Then you could do compute , computeIfAbsent , computeIfPresent , or merge as atomic operations. I did end up using asMap along with a concurrent ring-buffer implementation for the value stack. Makes sense. Be aware that compute is a locking operation, so it won't have a high throughput. If you want to know more, read the Attribution Guide.
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