A hurdle model is a type of statistical model used to analyze and describe count data that are characterized by an excess of zeros. It is particularly useful in situations where the response variable is zero-inflated, meaning that there are more zeros than would be expected under a standard count data distribution (e.g., Poisson or negative binomial).
A Land Use Regression (LUR) model is a statistical method used to estimate the concentration of air pollutants or other environmental variables across geographical areas based on land use and other spatial data. The core idea behind LUR is that land use types and patterns—such as residential, commercial, industrial, agricultural, and green spaces—can significantly influence environmental variables like air quality.
Experimental uncertainty analysis is a process used in scientific experimentation to quantify and evaluate the uncertainties associated with measurement results. It involves identifying and estimating the various sources of uncertainty that can affect the precision and accuracy of experimental data. Here are some key components and steps involved in experimental uncertainty analysis: 1. **Identification of Uncertainties**: Researchers identify potential sources of uncertainty in their experiments. This can include instrumental errors, environmental conditions, systematic errors, and human factors.
The Volterra operator is a type of integral operator that is commonly encountered in the study of functional analysis and integral equations. It is typically used to describe processes that can be modeled by integral transforms.
A rectangular potential barrier is a concept from quantum mechanics that describes a situation in which a particle encounters a region in space where the potential energy is higher than the energy of the particle itself. This potential barrier has a defined height and width, resembling a rectangle when graphically represented.
Luis Caffarelli is an Argentine mathematician known for his significant contributions to the field of partial differential equations, particularly in the areas of non-linear analysis and the theory of free boundary problems. He has made notable advancements in the regularity theory of solutions to elliptic and parabolic equations, as well as in the study of the behavioral patterns of solutions in various applied contexts, including fluid mechanics and materials science.
A "dressed particle" is a concept used in quantum field theory and condensed matter physics. It refers to a particle that is "dressed" by its interactions with the surrounding environment, such as other particles, fields, or excitations. This idea contrasts with a "bare particle," which is an idealized version that doesn't account for such interactions.
Quantum theory, also known as quantum mechanics, involves a variety of mathematical concepts and structures. Here’s a list of key mathematical topics that are often encountered in the study of quantum mechanics: 1. **Linear Algebra**: - Vector spaces - Inner product spaces - Operators (linear operators on Hilbert spaces) - Eigenvalues and eigenvectors - Matrix representations of operators - Schur decomposition and Jordan forms 2.
The on-shell renormalization scheme is a method used in quantum field theory to handle the divergences that arise in the calculation of physical quantities. In this approach, the parameters of a quantum field theory, such as mass and coupling constants, are renormalized in a way that relates the theoretical predictions directly to measurable physical quantities, specifically the observables associated with actual particles.
Pauli–Villars regularization is a method used in quantum field theory to manage divergences that arise in the calculation of loop integrals, particularly in the context of quantum electrodynamics (QED) and other quantum field theories. This technique introduces additional fields or particles with specific properties to modify the behavior of the underlying theory and render integrals convergent.
The R-matrix is an important concept in various fields of physics and mathematics, particularly within quantum mechanics and scattering theory. It serves as a mathematical framework for understanding interactions between particles. 1. **Quantum Mechanics and Scattering Theory**: In the context of quantum mechanics, the R-matrix can be used to analyze scattering processes. It relates to the wave functions of particles before and after a scattering event.
"Triangles of numbers" can refer to several mathematical constructs that involve arranging numbers in a triangular formation. A common example is Pascal's Triangle, which is a triangular array of the binomial coefficients. Each number in Pascal's Triangle is the sum of the two numbers directly above it in the previous row. Here’s a brief overview of some well-known triangles of numbers: 1. **Pascal's Triangle**: Starts with a 1 at the top (the 0th row).
The term "Essential extension" can refer to different concepts depending on the context, such as software development, web browsers, or various frameworks. Here are a few common interpretations: 1. **Web Browser Extensions**: In the context of web browsers, an "essential extension" typically refers to a browser add-on that significantly enhances usability, security, or productivity. Examples include ad blockers, password managers, and privacy-focused extensions.
A **multilinear map** is a type of mathematical function that takes multiple vector inputs and is linear in each of its arguments.
Randić's molecular connectivity index, often referred to simply as the connectivity index, is a topological descriptor used in cheminformatics and computational chemistry to quantify the connectivity of a molecular structure. Introduced by the chemist Ljupko Randić in the 1970s, this index provides insights into the properties of chemical compounds based on their molecular graphs. The connectivity index is defined for a molecular graph, where vertices represent atoms and edges represent bonds between them.
The term "meta-system" can refer to different concepts depending on the context in which it is used. Here are a few interpretations: 1. **Systems Theory**: In systems theory, a meta-system refers to a system that encompasses or organizes multiple systems. It's an overarching framework that can include various subsystems, each with its own functions and interactions. Meta-systems analyze the relationships and dynamics between these subsystems to understand the overall behavior of the larger system.
Reflexive control is a concept used primarily in military strategy and psychological operations. It refers to the ability to influence an adversary's decision-making process by manipulating their perceptions and cognitive frameworks, effectively "controlling" how they respond to specific situations or stimuli. This can be done through various means, such as misinformation, psychological operations, or demonstrating capabilities in a way that leads the opponent to make strategic choices that are favorable to the entity employing reflexive control.

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