Post-earnings-announcement drift (PEAD) is a phenomenon in financial markets where a company's stock price continues to react to its earnings announcements over a period of time after the announcement has been made, rather than adjusting immediately and completely. This means that after a company releases its earnings report, if the results are significantly better or worse than expected, the stock price may drift upwards or downwards over the following days or weeks as investors continue to process the information and adjust their expectations.
Ciphertext stealing (CTS) is a technique used in cryptography when encrypting data, particularly when data size does not align with the block size of the encryption algorithm being used. In block cipher algorithms, data is processed in fixed-size blocks (e.g., 128 bits for AES). If the plaintext is not a multiple of the block size, padding is typically added to make it fit.
Image processing is a method of performing operations on images to enhance them, extract useful information, or prepare them for analysis or interpretation. This field combines techniques from computer science, electrical engineering, and mathematics, and it has applications across various domains, including photography, medical imaging, machine vision, video processing, and remote sensing. Key aspects of image processing include: 1. **Image Enhancement**: Improving the visual quality of an image (e.g.
Li Huatian does not parece to be a widely recognized term or concept as of my last knowledge update in October 2023. It might refer to a person, place, or specific term that is not commonly known or documented.
A "contact shot" generally refers to a shooting technique or situation where the firearm is discharged with the muzzle of the gun in direct contact with, or very close to, the target. This method is often characterized by the following: 1. **Close Range**: The shot is fired from a very short distance, usually just a few inches from the target.
Subhash Khot is a prominent theoretical computer scientist known for his contributions to complexity theory and approximation algorithms. He is a professor at New York University and has conducted significant research in areas such as hardness of approximation, interactive proof systems, and the development of algorithms. He is particularly recognized for his work on the PCP theorem (Probabilistically Checkable Proofs) and for advances in the field of quantum computing.
Victor Shoup is a prominent figure in the field of computer science, particularly known for his contributions to cryptography. He is recognized for his work on various cryptographic algorithms and protocols, as well as for his contributions to the theoretical underpinnings of cryptography. Shoup has been involved in academic research and has published numerous papers on topics such as digital signatures, encryption schemes, and security assumptions in cryptographic systems.
The Journal of the Korean Astronomical Society (JKAS) is a scientific journal that publishes research in the field of astronomy and astrophysics. It is the official journal of the Korean Astronomical Society and typically features peer-reviewed articles, research papers, and reviews covering a wide range of topics related to astronomy, including observational studies, theoretical analyses, and advancements in astronomical techniques. The journal aims to promote the exchange of knowledge among astronomers and astrophysicists, both within Korea and internationally.
The term "Hubble bubble" refers to a large, somewhat spherical region of space that exhibits a lower density of galaxies and other cosmic structures compared to the surrounding universe. This phenomenon is associated with the Hubble Space Telescope and relates to the observation of cosmic expansion. In the context of cosmology, the Hubble bubble is typically discussed in relation to the Hubble flow, which describes how galaxies are observed to be moving away from each other as the universe expands.
As of my last knowledge update in October 2023, "Autapse" does not refer to a widely recognized term in scientific literature or popular culture. However, it is possible that it could refer to a specific concept, product, technology, or niche subject in fields like neuroscience, artificial intelligence, or perhaps even a brand or software that has emerged after my last update.
Dendritic spines are small, protruding structures found on the dendrites of neurons. They serve as the primary sites for synaptic transmission and are critical for neural communication and plasticity. Each spine forms a synapse with an axon terminal from another neuron, allowing for the transfer of signals across the synapse. Dendritic spines vary in shape and size, and their morphology can change in response to neural activity, a phenomenon known as synaptic plasticity.
The Modular Ocean Model (MOM) is a widely used numerical model for simulating ocean circulation and climate systems. It was developed to provide researchers and scientists with tools to understand oceanographic processes and their interactions with the atmosphere, ice, and land systems. Key features of the Modular Ocean Model include: 1. **Modularity**: The "modular" aspect refers to the model's flexible design, which allows different components or modules to be added, modified, or replaced.
The Regional Atmospheric Modeling System (RAMS) is a complex numerical model used for simulating and forecasting atmospheric conditions at regional scales. It is primarily designed to investigate and predict the behavior of atmospheric phenomena, such as weather systems, air quality, and climate variations, with a higher resolution than global models can provide.
Daniel A. Reed is a prominent computer scientist known for his work in high-performance computing, parallel processing, and computer architecture. He has made significant contributions to the fields of scalable computing and the design of systems that can efficiently handle large data sets and complex computational tasks. Reed has held various academic and administrative positions, including serving as a faculty member and administrator at several universities. He has also been involved in research and development initiatives related to advanced computing technologies.
Gordon Kindlmann is a notable figure in the field of computer science, particularly known for his work in visualization, scientific computing, and data analysis. He has contributed to the development of techniques for visualizing complex data sets, especially in the context of high-dimensional data and scientific imaging. Kindlmann has been involved in various academic and research projects, often collaborating with other scientists and engineers to enhance the understanding and representation of data through innovative visualization methods.
A laser level is a tool used in construction, surveying, and various other industries to establish a straight and level reference line or point. It employs a laser beam to project a line or dot onto a surface, allowing users to accurately measure and align installations, such as cabinets, shelves, or flooring. ### Types of Laser Levels: 1. **Line Laser Levels**: Projects a straight line of laser light along a horizontal or vertical plane. These are useful for tasks like aligning cabinets or marking walls.
Zettascale computing is a term that describes computing systems capable of processing, storing, and analyzing data on the scale of zettabytes, which is 10^21 bytes or one sextillion bytes. As data generation increases exponentially from sources like the Internet of Things (IoT), social media, enterprise applications, and scientific research, there is a growing need for computational frameworks that can efficiently manage and derive insights from such vast amounts of information.
BPCS (Bitmap Combination Pattern Steganography) is a method of covertly embedding information within bitmap images. This technique takes advantage of the way digital images are stored, manipulating the pixel values in a way that the changes are imperceptible to human viewers. The primary goal of BPCS-steganography is to hide data within an image in such a manner that it remains undetectable by casual examination.
A Machine Identification Code (MIC) is a unique identifier used primarily to identify and authenticate machine or device manufacturers, particularly in contexts involving electronic devices, automotive systems, and telecommunications. The specific usage of MIC can vary depending on the industry. In the context of **networking**, for example, a MIC might refer to the identification code used to recognize network devices to ensure secure communication.
"Tsikada" can refer to a few different things depending on the context: 1. **Cicada (In English)**: The term "tsikada" is derived from the Russian word for "cicada," which is an insect known for its distinctive sound produced by males during the mating season. Cicadas are found in many parts of the world and are known for their periodic life cycles.

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