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yet another flowchart abstraction

Last edited: August 8, 2025

yafa!

Syntax

[ (Circle) -> [square] -> (Circle) | (Circle) ]

[ (circle) ]

[ <lt1>(self loop) -> <lt1> ]

EXPRESSION = EXPRESSION' ARROW NODE | EXPRESSION' ALTERNATION NODE | STRING
EXPRESSION' = EXPRESSION' ARROW NODE | EXPRESSION' ALTERNATION NODE | NODE

NODE = SQUARE | CIRCLE | ANCHOR
SQUARE = "[" EXPRESSION "] | ANCHOR "[" EXPRESSION "]
ANCHOR = "<" LABEL ">"

ALTERNATION = "|"
ARROW = SARROW | DARROW
SARROW = "->"
DARROW = "=>"

LABEL = r"[\w\d]+"
STRING = LABEL | "\"" ".*" "\""

Semantics

Young's Modulus

Last edited: August 8, 2025

Young’s Modulus is a mechanical property that measures the stiffness of a solid material.

It measures the ratio between mechanical stress \(\sigma\) and the relative resulting strain \(\epsilon\).

And so, very simply:

\begin{equation} E = \frac{\sigma }{\epsilon } \end{equation}

Thinking about this, silly puddy deforms very easily given a little stress, so it would have low Young’s Modulus (\(\sigma \ll \epsilon\)); and visa versa. https://aapt.scitation.org/doi/10.1119/1.17116?cookieSet=1

Yuan 2021

Last edited: August 8, 2025

DOI: 10.3389/fcomp.2020.624488

One-Liner

Used an ERNIE trained on transcripts for classification; inclusion of pause encoding made results better.

Novelty

  • Instead of just looking at actual speech content, look at pauses specific as a feature engineering task
  • \(89.6\%\) on the ADReSS Challenge dataset

Notable Methods

Applied FA with pause encoding with standard .cha semantics (short pauses, medium pauses, long pauses). Shoved all of this into an ERNIE.

Assay for performance was LOO

z-test

Last edited: August 8, 2025

A z-test is a hypothesis test for statistical significance between two sample proportions. Before it can be conducted, it must meet the conditions for inference for a z-test.

conditions for inference (z-test)

  • has to be random
  • has to be reasonably normal (vis a vi test for normality)
  • each sample has to be independent (or 10% rule)

use a z-statistic to find p-value

  1. Given a sample proportion, calculate the sample proportion standard deviation (given on the formula sheet)
  2. Then, divide the difference between measured and null proportions to figure \(z\)

that is,

zero

Last edited: August 8, 2025

\(0\) is a list of length \(n\) whose coordinates are all zero

Formally—

\begin{equation} 0 = (0,\ldots,0) \end{equation}