Near sets are a mathematical concept used mainly in the context of set theory and topology. They often arise in discussions about proximity, similarity, or "closeness" in various contexts, such as fuzzy sets or in relational databases. However, the term "near sets" can refer to multiple contexts depending on the area of study. Here are a few interpretations: 1. **Fuzzy sets:** In fuzzy set theory, elements have degrees of membership rather than binary membership.
Polymath can refer to a few different concepts depending on the context, but generally, it describes a person who possesses knowledge in multiple fields and disciplines. Here are a couple of common interpretations: 1. **Polymath (Individual)**: Historically, a polymath is someone who is well-versed in a wide range of subjects, excelling in various domains of knowledge such as science, literature, art, philosophy, and more.
A Dyon is a theoretical concept in physics, particularly in the field of quantum field theory and string theory. It can be considered a generalization of a monopole—specifically, a magnetic monopole that also carries electric charge. In more detail, dyons are hypothetical particles that possess both electric and magnetic charges.
GANs, or Generative Adversarial Networks, are a class of machine learning frameworks introduced by Ian Goodfellow and his colleagues in 2014. The fundamental idea behind GANs is to set up a game between two models: a generator and a discriminator. 1. **Generator**: This model generates new data instances. It takes random noise as input and tries to produce data that mimics the actual distribution of the training data.
QuickDraw is an AI project developed by Google that aims to recognize doodles and drawings made by users. The project began as a game in which players were challenged to draw various objects within a time limit. These sketches were then used to train a neural network to improve its ability to identify and classify drawings. QuickDraw uses a dataset comprised of millions of drawings from players around the world, helping the AI learn to interpret and recognize a wide variety of doodles.
Rhetrickery is a combination of "rhetoric" and "trickery," often referring to the use of persuasive language and rhetorical techniques to manipulate or deceive in communication. It can involve the strategic use of words and phrases to influence an audience's perception or to obscure the truth. While rhetoric is a legitimate field of study focused on effective communication, rhetrickery carries a negative connotation, suggesting that the techniques are used with the intent to mislead or trick people.
"Response reactions" can refer to a variety of contexts, depending on the field being discussed. Here are a few possible interpretations: 1. **Psychology**: In psychology, response reactions may refer to the ways in which individuals respond to stimuli in their environment, whether these stimuli are emotional, social, or physical. Researchers often study the reaction times and emotional responses to various stimuli to understand behavior and cognitive processes.
The term "plan" can refer to various concepts depending on the context. Here are some common interpretations: 1. **General Definition**: A plan is a detailed proposal for achieving a specific goal or objective. It outlines the steps, resources, and timelines necessary to reach the desired outcome. 2. **Business Context**: In business, a plan often refers to strategic planning, where organizations outline their goals, the strategies to achieve them, and the measures for success.
reCAPTCHA is a free service developed by Google that helps protect websites from spam and abuse. It differentiates between human users and automated bots attempting to access or manipulate the site. The main purpose of reCAPTCHA is to ensure that actions such as submitting forms, logging in, or making transactions are performed by real people and not automated scripts.

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 2.
    You can publish local OurBigBook lightweight markup files to either https://OurBigBook.com or as a static website
    .
    Figure 3.
    Visual Studio Code extension installation
    .
    Figure 4.
    Visual Studio Code extension tree navigation
    .
    Figure 5.
    Web editor
    . 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.
    Video 4.
    OurBigBook Visual Studio Code extension editing and navigation demo
    . Source.
  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