Sampling in computational modeling refers to the process of selecting a subset of individuals, items, or data points from a larger population or dataset to estimate characteristics or behaviors of that population. This technique is widely utilized across various fields such as statistics, machine learning, and simulation. Here are some key aspects and types of sampling relevant in computational modeling: 1. **Purpose of Sampling**: - **Estimation**: To infer properties of a population based on a smaller sample.
Stochastic computing is a computing paradigm that represents data as probabilities rather than using traditional binary representations (0s and 1s). In stochastic computing, a value is encoded as a stream of bits where the probability of a bit being '1' corresponds to the value being represented. For example, if a number is represented as a stochastic bit stream of length \( N \), the ratio of '1's to '0's in that stream can represent a value between 0 and 1.
The Structured Program Theorem is a concept from software engineering that relates to the design and implementation of programs using structured programming principles. While it may not be as widely recognized as some other foundational theorems in computer science, it encapsulates key ideas behind structuring programs in a way that enhances their clarity, maintainability, and correctness.
The term "Turing machine equivalent" typically refers to different models of computation that are capable of performing any computation that a Turing machine can do. In other words, two computational models can be considered equivalent if they can simulate each other and can both recognize the same class of problems, such as the recursively enumerable languages. Some common computational models that are considered Turing machine equivalents include: 1. **Lambda Calculus**: This is a formal system for expressing computation based on function abstraction and application.
Turmite is a type of Turing machine that operates on an infinite grid of cells, specifically designed to demonstrate the principles of computation in a two-dimensional space. It can be seen as an extension of the classic one-dimensional Turing machine, which operates on a tape with discrete cells. In the context of cellular automata and theoretical computer science, Turmites typically have a set of rules that dictate their behavior based on their current state and the color or state of the cell they're currently on.
A Character module can refer to various concepts depending on the context in which it is used. Below are a few interpretations: 1. **Programming**: In programming, particularly in languages like Python or Java, a character module might refer to a library or package that provides functionality for managing character strings and character encodings. For example, Python has built-in functions for manipulating strings (which are collections of characters) and modules like `string` that provide string constants and utility functions.
A **composition series** is a specific type of series in the context of group theory in mathematics, particularly in the study of finite groups. It provides a way to break down a group into simple components.
The Krull-Schmidt theorem is a fundamental result in the theory of modules and abelian categories, particularly in the context of decomposition of modules. It provides conditions under which a module can be decomposed into a direct sum of indecomposable modules, and offers a uniqueness aspect to this decomposition.
In the context of module theory, a **pure submodule** is a specific type of submodule that satisfies a certain property related to the lifting of elements in modules. Let’s break down the definition and its significance. Let \( R \) be a ring, and let \( M \) be an \( R \)-module.
In algebra, particularly in the context of polynomial equations and formal algebra, "resolution" often refers to a method for solving equations or for simplifying expressions. One common meaning of the term is in relation to **resolution of polynomials**, where one seeks to express a polynomial in a different form, often factorizing it or breaking it down into simpler components.
The 21st century has seen several Moldovan mathematicians making contributions to various fields within mathematics. While specific names might not be as widely recognized as those from larger or more historically prominent mathematical communities, there are certainly talented individuals working in areas such as algebra, number theory, topology, and applied mathematics, among others. Moldova has a strong mathematical tradition, with its educational institutions producing many skilled mathematicians who may be involved in research, teaching, and collaboration internationally.
In the context of Wikipedia and similar online platforms, "stubs" refer to articles that are considered incomplete or lacking sufficient detail. A "molecular biology stub" would specifically refer to an article related to molecular biology that provides only basic information and is not fully developed. These articles typically require expansion to include more comprehensive content, such as detailed explanations, additional context, references, and relevant examples.
As of my last knowledge update in October 2021, there is no widely known figure or concept specifically named "Nicolae Filip." It's possible that he could be a private individual, a lesser-known public figure, or an emerging personality in a specific field, such as sports, politics, or academia.
As of my last knowledge update in October 2023, there is no widely recognized figure, term, or concept specifically known as "Stella Gherman." It's possible that it could refer to a person, a brand, a fictional character, or something else that is less well-known or has emerged after my last update.
The 43S pre-initiation complex (PIC) is a crucial assembly in the process of translation initiation in eukaryotic cells. It is formed before the start of protein synthesis and plays a key role in the recognition of the mRNA and the recruitment of the ribosomal subunits necessary for translation.
Base calling is a critical step in the process of DNA sequencing that involves identifying the sequence of nucleotides (the building blocks of DNA) from the raw data generated by sequencing machines. After sequencing, the resulting data usually consists of signals, such as fluorescence or electrical signals, depending on the sequencing technology used. Base calling translates these signals into a sequence of bases (adenine, thymine, cytosine, and guanine, represented by the letters A, T, C, and G).
Capillary electrochromatography (CEC) is a hybrid analytical technique that combines aspects of capillary electrophoresis (CE) and liquid chromatography (LC). It involves the separation of analytes based on their charge and size, using electroosmotic flow in a narrow capillary filled with a stationary phase (such as a packed column or a coated capillary wall).
CRISPR, which stands for Clustered Regularly Interspaced Short Palindromic Repeats, is a revolutionary technology in genetics that allows for precise editing of DNA within living organisms. It was originally discovered as a part of the immune system in certain bacteria, which use CRISPR to defend against viruses by storing segments of viral DNA and using them to recognize and cut the same virus during subsequent infections.
Cell-free protein arrays (CFPAs) are an innovative technology used in protein research that enable the rapid and high-throughput production and screening of proteins. Unlike traditional methods that require living cells for protein synthesis, cell-free systems utilize extracts from cells (often reticulocyte lysates or bacterial extracts) that contain all the necessary components for protein translation.

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