A **multiply perfect number** is a specific type of natural number that can be described in terms of its divisors. Specifically, a natural number \( n \) is called a \( k \)-multiply perfect number if the sum of its divisors (including \( n \) itself), denoted as \( \sigma(n) \), is equal to \( k \) times the number itself.
Hearing loss can be caused by a variety of factors, which can be broadly categorized into several groups: 1. **Age-related factors (Presbycusis)**: Hearing loss often occurs gradually as people age due to changes in the inner ear and auditory pathways. 2. **Noise exposure**: Prolonged exposure to loud noises can damage the hair cells in the cochlea, leading to noise-induced hearing loss.
Portamento is a musical technique that involves a smooth, continuous glide from one pitch to another. Unlike a standard note transition, where notes are played distinctly, portamento allows for a seamless shift, creating a fluid connection between two tones. This technique is commonly used in vocal performances and on instruments such as the slide trombone, string instruments, and synthesizers, where the performer can smoothly transition between notes. In the context of singing, portamento can enhance expressiveness and emotion.
The Loss Development Factor (LDF) is a key concept in actuarial science and insurance, particularly in the context of reserving and claims management. It helps insurers estimate the future loss amounts for claims that have already been reported but are not yet fully settled. The LDF is used to project the ultimate losses for a given accident year based on the loss experience observed up to different points in time.
The term "Austrian biophysicists" generally refers to scientists from Austria who specialize in the field of biophysics, which is an interdisciplinary area that applies the principles and methods of physics to study biological systems. Biophysicists investigate the physical properties of biomolecules, cells, and tissues to understand biological processes at a molecular level.
Ke Zhao is a Chinese-American computer scientist known for his work in the fields of machine learning, computer vision, and artificial intelligence. He has contributed to various areas, including deep learning and data analysis.
Jang Bahadur Shukla is not a widely recognized figure in international contexts, and there may not be substantial information available about him. It is possible that he is a local or regional figure, or that references to him may come from specific cultural, social, or political contexts that are not well-documented in mainstream sources.
Weak focusing is a concept used in the field of accelerator physics, particularly in the design of particle accelerators. It refers to the approach of using magnetic fields that provide only a weak or moderate degree of focusing for charged particles, such as electrons or protons, compared to strong focusing methods. In accelerators, focusing is essential for keeping the particle beam tightly packed and well-defined as it travels through the accelerator structure.
N. U. Prabhu is not a widely known figure in historical or mainstream contexts as of my last knowledge update in October 2023. It's possible that this name refers to a specific individual in a certain professional field, region, or community that might not have broad recognition. If you have more context or details about N. U.
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!
Intro to OurBigBook
. Source. We have two killer features:
- 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-calculusArticles 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/derivativeVideo 2. OurBigBook Web topics demo. Source. - 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.
- to OurBigBook.com to get awesome multi-user features like topics and likes
- as HTML files to a static website, which you can host yourself for free on many external providers like GitHub Pages, and remain in full control
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. - Infinitely deep tables of contents:
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





