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A level of "five sigma" is required to claim a discovery, meaning there is less than a one in a million chance the data spike is down to a statistical fluke.
The simple fact that both Atlas and CMS seem to be seeing a data spike at the same mass has been enough to cause enormous excitement in the particle physics community.
The experiment results showed that this cache scheme with a cache of 2M bytes can reduce 26.7% 42.2% data spike count and 9.9%21.2%% network traffic for the tested data, and can reduce 25.8%–38.5% noticeable long latencies for different types of applications.
We normalized the log2-ratio data (spike values not included) by using print-tip group loess normalization (degree 2 and span 0.4) as described by Yang et al. [ 21].
Next, the single-unit data (spike trains recorded in quiet) used to assess SFRs were examined for evidence of burst firing and analysed to identify either couplets or runs.
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Using this model we analyzed the data spikes in screen update streams.
This scheme caches the screen updates in data spikes on both server and client sides, and uses the cached data as history to better compress the recurrent screen updates in possible data spikes.
These data spikes are composed of a large amount of screen update data produced in a very short time.
The long latencies arise when data spikes need to be transferred over a network while the available bandwidth is limited.
The data spikes for the first few years, then comes down, and shows a trend of just under 30percentt year-over-year growth for the next three years.
The algorithms are designed to: (i) organize the data output from multiple instruments into a common format; (ii) present the data in a variety of interactive figures for visualization and assessment; (iii) clean the data by removing data spikes and noise; and (iv) classify data quality.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com