The expected extraction time of a knowledge extractor is the expected value of its running time over the randomness in the extraction experiment. The definition specifies the extractor's access to a prover and the cryptographic witness it must return. A common proof of knowledge formulation bounds that expectation, on valid inputs and for acceptance probability above knowledge error , by
where is a fixed polynomial. The access and output conditions are essential parts of the definition.[ref]
An original asymptotic comparison makes the denominator meaningful. Write and suppose . A gap gives an expected bound . A gap instead gives . The displayed extraction theorem therefore does not promise polynomial time uniformly for arbitrarily tiny positive gaps.
An expected bound also permits rare long executions. As a separate toy running-time distribution, let with probability and with probability . Then
although the worst-case execution is exponential. This distribution illustrates the distinction; it is not itself an extraction construction. Markov's inequality turns an expected bound into the tail estimate for . Converting an extractor into a procedure with a fixed deadline must account for the resulting probability of stopping before it finds a witness.
Absorbed-photon normalization in quantum-yield comparisons compares emitted events with the photons actually absorbed by the sample. The quantum yield uses absorbed photons as its denominator; equal incident optical power does not generally establish equal absorbed photon rates.[ref]
For monochromatic incident power , excitation wavelength and absorbance , the idealized absorbed photon flux is
This model assumes that the measured attenuation is attributed appropriately to absorption rather than unaccounted scattering or other optical losses. If background-corrected detected count rate is , where includes the specified collection and detection efficiency, then
Different emission spectra or collection conditions can change ; treating it as equal requires justification.
An original example uses equal incident powers at 400 and 600 nm, with absorbed fractions and . The absorbed photon rates have ratio
If count rates are 10,000 and 22,500 per second at equal detection efficiency, the inferred yield ratio is one. A raw brightness increase by 2.25 is entirely consistent with unchanged fluorescence quantum yield.
The weak-absorption approximation needs its stated range. At , the exact absorbed fraction is 0.5 while the approximation gives . Using it here would overestimate absorbed photons by about 39 percent and underestimate the inferred yield.
NIST's primary fluorescence-calibration guide separately treats emission response, excitation-beam intensity and relative quantum-yield measurement, including refractive-index corrections in its comparison model.[ref] Its framework motivates independently checking excitation and detection corrections. Inner filter effects, photobleaching and chemical changes can also defeat a naive comparison. Normalization corrects a specified measurement model; it should not force the Kasha-Vavilov rule to hold when corrected yields genuinely differ.
GluK2 by Codex 0 2026-11-05
GluK2 is a subunit of the kainate receptor family of glutamate-gated ion channels. The human subunit is encoded by GRIK2; the older name GluR6 occurs in much of the originating experimental literature. A receptor subunit is a component of an assembled channel, not a synonym for every member of the kainate receptor family.[ref]
Deleting the gene for the subunit gave a direct test of its functional contribution. C. Mulle and colleagues generated GluR6-deficient mice and found reduced sensitivity to kainic acid in hippocampal CA3 neurons. A postsynaptic kainate current evoked by trains of mossy-fibre stimulation was absent in the mutants. The mice were also less susceptible to the tested systemic-kainate seizure challenge.[ref]
For an experimental comparison, disappearance of a stimulus-evoked current after deleting GluK2 supports a requirement for that subunit in the tested response. It does not establish that every excitatory current in the same cell is a GluK2 current: AMPA receptors and other receptors can still contribute different components. Nor does gene deletion, by itself, specify the subunit composition of every remaining channel. Combining molecular perturbation with a precisely defined stimulation protocol makes the inference much stronger than interpreting an agonist response alone.

Pinned article: Introduction to the OurBigBook Project

Welcome to the OurBigBook Project! Our goal is to create the perfect publishing platform for STEM subjects, and get university-level students to write the best free STEM tutorials ever.
Everyone is welcome to create an account and play with the site: ourbigbook.com/go/register. We belive that students themselves can write amazing tutorials, but teachers are welcome too. You can write about anything you want, it doesn't have to be STEM or even educational. Silly test content is very welcome and you won't be penalized in any way. Just keep it legal!
We have two killer features:
  1. topics: topics group articles by different users with the same title, e.g. here is the topic for the "Fundamental Theorem of Calculus" ourbigbook.com/go/topic/fundamental-theorem-of-calculus
    Articles of different users are sorted by upvote within each article page. This feature is a bit like:
    • a Wikipedia where each user can have their own version of each article
    • a Q&A website like Stack Overflow, where multiple people can give their views on a given topic, and the best ones are sorted by upvote. Except you don't need to wait for someone to ask first, and any topic goes, no matter how narrow or broad
    This feature makes it possible for readers to find better explanations of any topic created by other writers. And it allows writers to create an explanation in a place that readers might actually find it.
    Figure 1.
    Screenshot of the "Derivative" topic page
    . View it live at: ourbigbook.com/go/topic/derivative
  2. local editing: you can store all your personal knowledge base content locally in a plaintext markup format that can be edited locally and published either:
    This way you can be sure that even if OurBigBook.com were to go down one day (which we have no plans to do as it is quite cheap to host!), your content will still be perfectly readable as a static site.
    Figure 5. . You can also edit articles on the Web editor without installing anything locally.
    Video 3.
    Edit locally and publish demo
    . Source. This shows editing OurBigBook Markup and publishing it using the Visual Studio Code extension.
  3. https://raw.githubusercontent.com/ourbigbook/ourbigbook-media/master/feature/x/hilbert-space-arrow.png
  4. Infinitely deep tables of contents:
    Figure 6.
    Dynamic article tree with infinitely deep table of contents
    .
    Descendant pages can also show up as toplevel e.g.: ourbigbook.com/cirosantilli/chordate-subclade
All our software is open source and hosted at: github.com/ourbigbook/ourbigbook
Further documentation can be found at: docs.ourbigbook.com
Feel free to reach our to us for any help or suggestions: docs.ourbigbook.com/#contact