A table of terms that can generally be asked face-to-face, entered into a browser search bar, or prompted as text into a large language model such as GPT-4 to formulate useful results. This can be used to inspire a way to ask critical questions as well, towards the goal of comprehensive understanding and idea/ context generation for enhanced learning/ research. By finding better answers to more of each question or query from the table below, more context can be gained about a topic of one's interest.
(I developed this table from a list compiled over a number of years, developing a way to help identify loopholes in physics and learning experiences).
Written by Onri Jay Benally, an Indigenous American quantum hardware engineer.
- Determine if the information being sought or offered is abstract or concrete and to what extent or level of. (Abstract: multiple meanings or intangible; concrete: more or less a specific meaning or tangible).
- Determine the topic level of subjectivity.
- If the initial question does not completely make sense, ask for more information.
- Whenever you have a "finite set", you can always find the "maximum of that set".
- In a sense, time is like a continous multilayer of translucent or transparent filters, which old ideas are able to pass through. As we move further along, old ideas can overlap with new ones and form new prospects or designs. This gives birth to continuous iteration.
- When it comes to an idea, you must consider whether the information is physically significant or not and to make that distinction. If something is only mathematically important, then it may only be relevant to navigating to the right ideas.
- Get comfortable with automating mundane tasks, but prepared to do some temporarily manual work.
- When you are simply curious about something and you happen to meet a legitimate expert, always clarify up front that you are seeking to satisfy a curiosity. The reality is that people, especially in the scientific community, tend to assume that you are trying to sell them something or convince them of something, when approached. This consideration may make the exchange easier.
- Attribution of descriptors or adjectives as pre-terms before the actual use of a word helps with clarity. Example 1: excitatory stimulation with high KCl delivery. Example 2: inhibitory stimulation with TTX delivery. Example 3: coupling capacitor. Example 4: spin-dependent electrical resistance.
The table below can be viewed as supplementary to this. Additionally, a careful sequence of searches based on the list can be performed using ethical web scraping libraries if needed, examples provided in here.
Note: be sure to remove parenthesis when filling in the blanks.
| Key |
|---|
| (__) : Blank term, enter desired keyword. |
| (-) : Subtracts a word from search to narrow down a search. |
| (-)"(__)" : Subtracts an exact phrase from search. |
| "" : Use quotation marks to group words together. |
| OR : Allows simultaneous search of multiple terms. |
| cache:{followed by target URL} ...[works only for Chrome]. |
| Table of Contexts |
|---|
| • Importance of (__) |
| • Ideal behavior of (__) |
| • A primer on (__) |
| • Primary components of (__) |
| • Primary ingredients of (__) |
| • Subsystems of (__) |
| • Compact versions of (__) |
| • First principles approach to (__) |
| • Loopholes in (__) |
| • (__) teardown |
| • Applications of (__) |
| • Ethics of (__) |
| • Ideal vs. realistic behavior of (__) |
| • Significance of (__) |
| • Sustainable alternatives for (__) |
| • Sustainable ideas in (__) |
| • Sustainability approaches in (__) |
| • Physical significance of (__) |
| • Mathematical significance of (__) |
| • Morphology of (__) |
| • Geometry for the measurement of (__) |
| • Typical characteristics of (__) |
| • With and without (__) |
| • What does (__) represent? |
| • What is the concept of (__) |
| • Taxonomy of (__) |
| • Table of (__) |
| • (__) table |
| • (__) then and now |
| • Big differences in (__) |
| • Big arguments for (__) |
| • Difference between similar terms in (__) |
| • Mapping and sampling of (__) |
| • Sampling in (__) |
| • Approximations and equivalencies in (__) |
| • Does or do (__) adhere to certain laws? |
| • Important pioneers in (__) |
| • Bread and butter of (__) |
| • Initial vs advanced questions in (__) |
| • Much less information is, however, available on what in (__) |
| • Deductive and inductive approaches in (__) |
| • Iterative approaches in (__) |
| • Leapfrogging approaches in (__) |
| • Heuristic approaches in (__) |
| • Analytical approaches in (__) |
| • The analog of (__) |
| • Metrology of (__) |
| • Parameterization of (__) |
| • Physical meaning of (__) |
| • Physical response of (__) |
| • (__) symbolism |
| • Symbolism of (__) |
| • Iconographic meaning of (__) |
| • Why is (__) important? |
| • Working model of (__) |
| • Generic model of a (__) |
| • Generic model representation of (__) |
| • Schematic representation of (__) |
| • Linear model of (__) |
| • Non-linear model of (__) |
| • Fractal mechanics of (__) |
| • (__) is related to? |
| • Floor plan of (__) |
| • Drawbacks of (__) |
| • Limitations of (__) |
| • Advantages of (__) |
| • Trajectory of (__) |
| • Motivation for (__) |
| • Open-source alternatives for (__) |
| • Field guide to (__) |
| • Visual guide to (__) |
| • Audio guide to (__) |
| • Interactive guide to (__) |
| • Roadmap of (__) |
| • Summary of (__) |
| • Meaning and significance of (__) |
| • Meaning, significance, and limitations of (__) |
| • Please provide some critical equations and formulas for understanding (__) and demonstrate an example with Python code. Plot the output. |
| • A repository on (__) |
| • A repository or archive on (__) |
| • Which Python library can be used to generate (__)? |
| • Animation of (__) |
| • (__) animations |
| • GIF animation of (__) |
| • (__) groups |
| • Groups in (__) |
| • Categories of (__) |
| • Review on (__) materials |
| • Structural linguistics of (__) |
| • Descriptive linguistics of (__) |
| • Language breakdown of (__) |
| • What are the constraints for (__)? |
| • What does (__) sound like when attentuated to the range of human hearing? |
| • (__) is or may be difficult, unless what? |
| • Monte Carlo simulation of (__) |
| • Alternative spellings of (__) |
| • (__) on arXiv |
| • Abstractions of (__) |
| • How abstract is (__)? |
| • Levels of abstraction of the term (__) and its subfields |
| • Comparison between (__) and common household items |
| • Comparison between (__) and common household or garage items |
| • Comparison between (__) and common household or toolshed items |
| • Comparison between (__) and common household or toolshed items in different eras |
| • Where does (__) borrow terms from if any? |
| • Which topic borrows terms from (__) |
| • Thought processes in (__) |
| • On the topic of (__), how much is too much? |
| • What is the memory, energy, or time bandwidth of (__)? |
| • Passive vs. active designs of (__) |
| • Passive vs. active implementations of (__) |
| • Distribution of (__) |
| • Variations of (__) |
| • (__) 3D CAD file |