The Journal of Theoretical and Computational Acoustics is a scientific journal that focuses on research related to the theoretical and computational aspects of acoustics. This includes the study of sound propagation, acoustic modeling, and simulations, among other topics. The journal serves as a platform for researchers and academics to publish their findings, share innovative methodologies, and discuss advancements in the field of acoustics.
The Mechanical Index (MI) is a measurement used mainly in the field of ultrasound, specifically in diagnostic imaging. It quantifies the potential for mechanical bioeffects caused by ultrasound waves in tissues. The MI is calculated based on the peak negative pressure of the ultrasound beam and its frequency. The Mechanical Index is particularly relevant in assessing the safety of ultrasound exposure. A higher MI indicates a greater potential for inducing cavitation and other mechanical effects, while a lower MI suggests a lower risk of such effects.
Noise weighting refers to the process of adjusting or filtering audio signals to account for the perceived loudness of different frequency components in the presence of background noise. This concept is often applied in various fields, including audio engineering, telecommunications, and environmental noise analysis. Here are some key points about noise weighting: 1. **Frequency Sensitivity**: Human hearing is not equally sensitive to all frequencies.
The Acoustic Contrast Factor (ACF) is a parameter used in underwater acoustics to describe the difference in acoustic properties between two media, typically water and an object or a target submerged in it. It is essentially a measure of how distinct the acoustic signature of the target is compared to its surrounding environment. The ACF takes into account factors such as: 1. **Density**: Differences in the densities of the target and the surrounding medium (usually water) affect how sound waves propagate through them.
Acoustic lubrication is not a widely recognized term in mainstream scientific literature, but it can refer to the use of sound waves or acoustic energy to reduce friction and improve the lubrication process in various materials and systems. The concept is primarily associated with the field of tribology, which is the study of friction, wear, and lubrication.
Acoustic radiation pressure is the force exerted by sound waves on a surface due to the momentum carried by the sound. When sound waves propagate through a medium (such as air, water, or any other fluid), they create variations in pressure that can exert a net force on objects within that medium. This phenomenon is a consequence of the energy and momentum transfer associated with the oscillatory motion of the sound waves.
The Harish-Chandra class is a concept from representation theory, particularly in the context of the representation theory of semisimple Lie groups and Lie algebras. It refers to a specific class of representations, known as "Harish-Chandra modules," which arise when studying the decomposition of representations into irreducible components.
Critical distance refers to a concept used in various fields, including psychology, sociology, and geography, but its meaning can differ depending on the context. Here are a few interpretations based on different disciplines: 1. **Psychology & Sociology**: In the context of personal relationships or social interaction, critical distance may refer to the optimal emotional or physical distance necessary for maintaining healthy interactions or connections.
FindSounds is a search engine designed specifically for locating sound effects and audio clips on the internet. Users can search for sounds by entering keywords related to the type of sound they are looking for, such as "bird chirping," "car horn," or "ocean waves." The platform aggregates results from various sound-related websites and allows users to listen to and download the sounds directly.
Summing localization is a concept from the field of mathematics, particularly in the areas of operator theory and functional analysis. It pertains to the behavior of certain types of operators on function spaces, particularly when considering how they interact with the properties of localization. In a more general sense, localization refers to the idea of analyzing the behavior of functions or operators in a localized (restricted) region of space, rather than globally.
Asset/Liability Modeling (ALM) is a financial management practice used primarily in the banking, insurance, and investment industries to assess and manage risks that arise from the mismatch between assets and liabilities. The primary goal of ALM is to ensure that a financial institution can meet its future liabilities while maintaining financial stability and optimizing returns on its assets.
The \((a, b, 0)\) class of distributions generally refers to a family of probability distributions that have specific characteristics related to their parameters \(a\) and \(b\), with the "0" indicating a point related to the distribution behavior, such as its mode or location parameter. These distributions can be used in various contexts, including modeling certain types of data or behaviors in statistics.
Actuarial credentialing refers to the process by which individuals are recognized as qualified actuaries through a series of educational requirements, examinations, and professional experience. Actuaries are professionals who analyze financial risks using mathematics, statistics, and financial theory, and they work primarily in insurance, finance, and other related fields.
Age stratification refers to the categorization of individuals into different age groups or cohorts, each of which is analyzed for social, economic, health, or psychological characteristics. This concept is often used in sociology, demography, and public health to understand how age impacts behaviors, opportunities, and access to resources. Key aspects of age stratification include: 1. **Social Roles**: Different age groups may assume specific social roles and responsibilities, influencing their participation in society.
The Bornhuetter–Ferguson method is an actuarial technique used in estimating reserves for unpaid claims in insurance, particularly in the context of property and casualty insurance. It addresses the uncertainty associated with loss reserving, which is critical for accurately determining an insurer's financial position. ### Key Features of the Bornhuetter–Ferguson Method: 1. **Initial Estimate**: This method combines historical loss development data with an a priori estimate of ultimate losses.
The Esscher transform is a mathematical transformation used in the field of probability theory, particularly in the context of risk theory and actuarial science. It is named after the Swedish mathematician Karl Esscher. The transform is useful for adjusting probability distributions to account for different risk preferences, particularly in the setting of insurance and finance. The Esscher transform modifies the probability measure of a random variable in a way that shifts the expectation of the distribution.
Extreme value theory (EVT) is a statistical field that focuses on the analysis and modeling of extreme deviations or rare events in a dataset. It is primarily concerned with understanding the behavior of maximum and minimum values in datasets, especially under the assumption that the data follows some underlying distribution.
In actuarial science, "future interests" typically refers to the expected future values or cash flows that will be received or paid at a specific time in the future. This concept is essential for assessing the financial implications of insurance policies, pensions, investments, and other financial commitments.
General insurance refers to a category of insurance that provides coverage for various types of risks and losses, excluding life insurance. It primarily encompasses policies that protect individuals and businesses against financial losses resulting from unexpected events. General insurance types typically include: 1. **Property Insurance**: Covers damage to or loss of physical property, such as home insurance, renters insurance, and commercial property insurance. 2. **Liability Insurance**: Protects against claims of negligence, injury, or damage to third parties.
The Gompertz distribution is a continuous probability distribution often used to model the time until an event occurs, particularly in survival analysis and reliability engineering. It is characterized by a cumulative distribution function (CDF) that describes the likelihood of the time until an event, such as failure or death, occurs.

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