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name: github pages | ||
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on: | ||
push: | ||
branches: | ||
- main # Set a branch to deploy | ||
pull_request: | ||
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jobs: | ||
deploy: | ||
runs-on: ubuntu-20.04 | ||
steps: | ||
- uses: actions/checkout@v2 | ||
with: | ||
submodules: true # Fetch Hugo themes (true OR recursive) | ||
fetch-depth: 0 # Fetch all history for .GitInfo and .Lastmod | ||
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- name: Setup Hugo | ||
uses: peaceiris/actions-hugo@v2 | ||
with: | ||
hugo-version: 'latest' | ||
# extended: true | ||
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- name: Build | ||
run: hugo --minify | ||
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- name: Deploy | ||
uses: peaceiris/actions-gh-pages@v3 | ||
if: github.ref == 'refs/heads/main' | ||
with: | ||
github_token: ${{ secrets.GITHUB_TOKEN }} | ||
publish_dir: ./public |
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# Build and Release Folders | ||
bin/ | ||
bin-debug/ | ||
bin-release/ | ||
[Oo]bj/ # FlashDevelop obj | ||
[Bb]in/ # FlashDevelop bin | ||
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# Other files and folders | ||
.settings/ | ||
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# lock | ||
*.lock | ||
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# Executables | ||
*.swf | ||
*.air | ||
*.ipa | ||
*.apk | ||
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# Hugo | ||
public/ | ||
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# Backup Files | ||
*.markdown~ | ||
*.md~ | ||
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# Apache | ||
.htpasswd | ||
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# Logs | ||
logs | ||
*.log | ||
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# Runtime data | ||
pids | ||
*.pid | ||
*.seed | ||
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# Directory for instrumented libs generated by jscoverage/JSCover | ||
lib-cov | ||
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# Coverage directory used by tools like istanbul | ||
coverage | ||
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# Grunt intermediate storage (http://gruntjs.com/creating-plugins#storing-task-files) | ||
.grunt | ||
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# node-waf configuration | ||
.lock-wscript | ||
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# Compiled binary addons (http://nodejs.org/api/addons.html) | ||
build/Release | ||
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# Build directories | ||
public | ||
dist | ||
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# Dependency directory | ||
# https://www.npmjs.org/doc/misc/npm-faq.html#should-i-check-my-node_modules-folder-into-git | ||
node_modules | ||
package-lock.json | ||
bower_components | ||
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# Mac File System File...utterly useless to anyone but me. | ||
.DS_Store | ||
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# AWS stuff for publishing static files | ||
.aws-credentials.json | ||
.awspublish* | ||
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/#config.toml# | ||
/.env | ||
*/ltximg/* |
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--- | ||
title: "{{ replace .Name "-" " " | title }}" | ||
date: {{ .Date }} | ||
draft: true | ||
--- | ||
|
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baseURL = 'http://example.org/' | ||
languageCode = 'en-us' | ||
title = 'knowledgebase' | ||
refLinksErrorLevel = "WARNING" | ||
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[angolia] | ||
index = "blog" | ||
appID = "WMIN97VLG4" | ||
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[params] | ||
author = "Houjun Liu" | ||
description = "eat a chicken efficiently" | ||
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[markup.goldmark.renderer] | ||
unsafe = true | ||
|
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baseURL: 'http://example.org/' | ||
languageCode: en-us | ||
title: knowledgebase | ||
refLinksErrorLevel: WARNING | ||
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params: | ||
author: Houjun Liu | ||
description: eat a chicken efficiently | ||
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markup.goldmark.renderer: | ||
unsafe: true | ||
|
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+++ | ||
author = ["Houjun Liu"] | ||
tags = ["index"] | ||
draft = false | ||
+++ | ||
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[AP Statistics]({{< relref "KBhAPStats.md" >}}) is an examination by the [CollegeBoard]({{< relref "KBhcollegeboard.md" >}}). | ||
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## Non-Focus Mistakes {#non-focus-mistakes} | ||
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- file:///Users/houliu/Documents/School Work/The Bible/APStats/APStats5Steps.pdf | ||
- file:///Users/houliu/Documents/School Work/The Bible/APStats/APStats5Steps.pdf | ||
- file:///Users/houliu/Documents/School Work/The Bible/APStats/APStats5Steps.pdf | ||
- Interpretation of regression outputs | ||
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## Backlog {#backlog} | ||
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- T-Tests, Z-Tests | ||
- Chi-square | ||
- file:///Users/houliu/Documents/School Work/The Bible/APStats/APStats5Steps.pdf | ||
- file:///Users/houliu/Documents/School Work/The Bible/APStats/APStats5Steps.pdf | ||
- file:///Users/houliu/Documents/School Work/The Bible/APStats/APStats5Steps.pdf | ||
- file:///Users/houliu/Documents/School Work/The Bible/APStats/APStats5Steps.pdf | ||
- file:///Users/houliu/Documents/School Work/The Bible/APStats/APStats5Steps.pdf, \\(\hat{p}\\) | ||
- file:///Users/houliu/Documents/School Work/The Bible/APStats/APStats5Steps.pdf | ||
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## Notes {#notes} | ||
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- [confidence interval]({{< relref "KBhconfidence_interval.md" >}}) |
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author = ["Houjun Liu"] | ||
draft = false | ||
+++ | ||
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[AgRP]({{< relref "KBhagrp.md" >}}) is a type of neurons that stimulates food intake. | ||
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- Inhibit metacortin | ||
- Activate [NPY]({{< relref "KBhnpy.md" >}}) | ||
- Release [GABA]({{< relref "KBhgaba.md" >}}) | ||
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Diet-induced [obesity]({{< relref "KBhobesity.md" >}}) blunts [AgRP]({{< relref "KBhagrp.md" >}}) response, and so, because [AgRP]({{< relref "KBhagrp.md" >}}) plays a part in [thermoregulation]({{< relref "KBhthermoregulation.md" >}}), diet-inducsed [obesity]({{< relref "KBhobesity.md" >}}) responds less to temperature changes. |
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title = "Anoushka Krishnan" | ||
author = ["Houjun Liu"] | ||
draft = false | ||
+++ | ||
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Anoushka is a student at Nueva, also the host of [Project80]({{< relref "KBhproject80.md" >}}), among other things. |
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+++ | ||
title = "APR Paradox" | ||
author = ["Houjun Liu"] | ||
draft = false | ||
+++ | ||
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If we take [entangled]({{< relref "KBhentangled.md" >}}) [qubit]({{< relref "KBhqubits.md" >}})s, and separate them real far away, their behavior would be the same even despite it will take longer for light to travel. |
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+++ | ||
title = "ASEE Prism" | ||
author = ["Houjun Liu"] | ||
draft = false | ||
+++ |
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title = "atoms as qubits" | ||
author = ["Houjun Liu"] | ||
draft = false | ||
+++ | ||
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You can use atoms as many different types of [qubits]({{< relref "KBhqubits.md" >}}). | ||
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## manipulating physical qubits {#manipulating-physical-qubits} | ||
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To make [physical qubits]({{< relref "KBhphysical_qubits.md" >}}) go to different states, we will again use something in the ancillary states. Rotating it to $z$---leverage one lazer to make it fall; \\(rx\\), \\(ry\\), we leverage combinations of two light. | ||
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## various qubit implementations {#various-qubit-implementations} | ||
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Implementations of [physical qubits]({{< relref "KBhphysical_qubits.md" >}}) | ||
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| Type | Superconductor | Ions | Atoms | | ||
|---------------------------------------------------------|-------------------------------|----------------------|-----------------------| | ||
| Company | Google, IBM, Rigetti | IonQ, Honeywell | Atom Computing, QuEra | | ||
| Nature | Artifical | Natural | Natural | | ||
| Calibration | Individual calibration | Naturally calibrated | Naturally calibrated | | ||
| [Coherence Time]({{< relref "KBhcoherence_time.md" >}}) | Short | Long | Long | | ||
| Connectivity | Adjacent connectivity | All-to-all | More than adjacent | | ||
| Scalability | Compatible with existing tech | Not easily scalable | Potentially scalable | | ||
| Speed | Fast gates | Kinda fast | Untested | | ||
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## possible uses for qubits {#possible-uses-for-qubits} | ||
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Here are some possible uses for [physical qubits]({{< relref "KBhphysical_qubits.md" >}}) | ||
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- Traveling salesman | ||
- Research + simulations | ||
- Cryptography |
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title = "Authoritarianism" | ||
author = ["Houjun Liu"] | ||
draft = false | ||
+++ |
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title = "bloch sphere" | ||
author = ["Houjun Liu"] | ||
draft = false | ||
+++ | ||
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The [bloch sphere]({{< relref "KBhbloch_sphere.md" >}}) is a sphere encoding all possible probabilities shared between two axis, \\(|u\big>\\) and \\(|d\big>\\). | ||
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{{< figure src="/ox-hugo/2022-03-19_21-56-36_screenshot.png" >}} | ||
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You will notice that its a unit sphere, in which any magnitude has size \\(1\\). Hence, probabilities would result as projected onto each of the directions. |
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title = "category" | ||
author = ["Houjun Liu"] | ||
draft = false | ||
+++ | ||
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A [category]({{< relref "KBhcategory.md" >}}) is defined as: | ||
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- collection of [objects]({{< relref "KBhobjects.md" >}}), where if \\(X\\) is an [object]({{< relref "KBhobjects.md" >}}) of \\(C\\) we write \\(X \in C\\) |
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title = "category theory" | ||
author = ["Houjun Liu"] | ||
draft = false | ||
+++ | ||
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An abstract study of mathematics based on [categories]({{< relref "KBhcategory.md" >}}), [functors]({{< relref "KBhfunctor.md" >}}), and [natural transformations]({{< relref "KBhnatural_transformations.md" >}}). |
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title = "college application" | ||
author = ["Houjun Liu"] | ||
draft = false | ||
+++ | ||
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[College application]({{< relref "KBhcollege_application.md" >}}) is the process of applying to an American college. |
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+++ | ||
title = "CollegeBoard" | ||
author = ["Houjun Liu"] | ||
draft = false | ||
+++ |
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title = "composite system" | ||
author = ["Houjun Liu"] | ||
draft = false | ||
+++ |
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author = ["Houjun Liu"] | ||
draft = false | ||
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## proportional confidence intervals {#proportional-confidence-intervals} | ||
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We will measure a single [stastistic]({{< relref "KBhstastistic.md" >}}) from a large population, and call it the [point estimate]({{< relref "KBhpoint_estimate.md" >}}). This is usually denoted as \\(\hat{p}\\). | ||
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Given a proportion \\(\hat{p}\\) ("95% of sample), the range which would possibly contain it as part of its \\(2\sigma\\) range is the \\(95\\%\\) confidence interval. | ||
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Therefore, given a \\(\hat{p}\\) the plausible interval for its confidence is: | ||
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\begin{equation} | ||
\hat{p} \pm z^\* \sqrt{\frac{\hat{p}(1-\hat{p})}{n}} | ||
\end{equation} | ||
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where, \\(n\\) is the sample size, \\(\hat{p}\\) is the [point estimate]({{< relref "KBhpoint_estimate.md" >}}), and \\(z\*=1.96\\) is the [critical value]({{< relref "KBhcritical_value.md" >}}), the [z-score]({{< relref "KBhz_score.md" >}}) denoting \\(95\\%\\) confidence (or any other desired confidence level). | ||
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## conditions for proportional confidence interval {#conditions-for-proportional-confidence-interval} | ||
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There are the conditions that make a [proportional confidence interval](#proportional-confidence-intervals) work | ||
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- distribution is normal | ||
- \\(n\hat{p}\\) and \\(n(1-\hat{p})\\) are both \\(>10\\) | ||
- we are sampling with replacement, or otherwise sampling \\(<10\\%\\) of population (otherwise, we need to apply a finite population correction | ||
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## value confidence intervals {#value-confidence-intervals} | ||
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The expression is: | ||
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\begin{equation} | ||
\bar{x} \pm t^\* \frac{s}{\sqrt{n}} | ||
\end{equation} | ||
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where \\(t\*\\) is the \\(t\\) score of the desired power level with the correct degrees of freedom; \\(s\\) the sample standard deviation, \\(n\\) the sample size, and \\(\har{x}\\) the mean. |
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author = ["Houjun Liu"] | ||
draft = false | ||
+++ |
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title = "coveather" | ||
author = ["Houjun Liu"] | ||
draft = false | ||
+++ | ||
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[coveather]({{< relref "KBhcoveather.md" >}}) is a novel consensus algorithm based on the [proof of work]({{< relref "KBhproof_of_work.md" >}}) mechanism. |
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author = ["Houjun Liu"] | ||
draft = false | ||
+++ |
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title = "criticism of the New Deal (See file KBhnew_deal.org)" | ||
author = ["Houjun Liu"] | ||
draft = false | ||
+++ | ||
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:ID: 4AEBACF9-4715-4CF6-9538-585B31CBDA74 | ||
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criticized the [New Deal]({{< relref "KBhnew_deal.md" >}}) from all sides. Senator Huy P. Long claimed to "show our wealth." nullification from conservative supreme court, FDR threatened to restructure + hurts his coalition. | ||
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- FDR ordered cuts in spending | ||
- 1938 midterms: Republicans can block programs --- gained control of congress + created ability to gain control |
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title = "derived variable" | ||
author = ["Houjun Liu"] | ||
draft = false | ||
+++ | ||
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A derived variable is a mapping between states to a set, usually the natural numbers. Remember, if we can, given a state and match it to a number and show a relation which would iterate the state and decrease the states' number. We can show that the algorithm terminates. |
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