jamasb

Several years ago I spent some time in a lab studying sleep in fruit flies.

They've put out a number of interesting publications since my time there.

[1] Evidence of very large variability in sleep duration between flies, with limited consequences for very long duration sleep deprivation (wrt lethality)

[2] Evidence of context-dependent modulation of the effects of sleep deprivation. It appears the effects of sleep deprivation on males can be affected by sexual arousal/activity.

It makes me wonder if there are similar effects on humans. A night spent socialising too late does effect one differently to one spent working too late.

[1] https://www.science.org/doi/10.1126/sciadv.aau9253

[2] https://elifesciences.org/articles/27445

It absolutely is when you consider the strength of the research communities surrounding cancers and their treatments in the UK.

I've been doing some work on link prediction in knowledge graphs recently with poor results on real-world data. These methods don't necessarily require a huge amount of data but they are very sensitive to noise and the 'density' of dataset. The benchmark datasets are, in essence, very easy to get good performance on. It's a real shame that metrics for these methods' tolerance of noise and sparsity are not reported because these are going to be present in almost any real-world dataset in far greater quantities than current benchmarks.