--- layout: archive title: Zulip Chat Archive permalink: /stream/113488-general/topic/notnotelim2.html ---
Hello,
I'm trying to implement the following theorems described in Verified Functional
Programming in Agda, p. 22-23, but to no avail:
theorem notnotelim2 : ∀b: bool, bnot (bnot b) = b | tt := bnot (bnot tt) | ff := bnot (bnot ff) theorem notnotttprime : bnot (bnot tt) = tt | tt := rfl {lzero} {bool} {tt} theorem notnotffprime : bnot (bnot ff) = ff | ff := rfl {lzero} {bool} {ff}
Any help would be much appreciated.
theorem notnotelim2 : ∀b: bool, bnot (bnot b) = b | tt := _ | ff := _
If you use underscores then you can see what is missing. In the first one, Lean is expecting a proof of bnot (bnot tt) = tt
, but your term bnot (bnot tt)
is not a proof of anything, it's just the term tt
of type bool
.
In notnotelim2 you are trying to construct a function which eats a bool and spits out a proof. Hence for each possibility for bool, you need to give the proof for this possibility.
For the second one, you are just trying to prove a theorem. There is no input of a bool. You are attempting to imput a bool with your line | tt := rfl {lzero} {bool} {tt}
. You just need to supply a proof. Same for the third.
Sorry, I was saying, could you please provide a hint as to how the proofs should be written?
rfl
So the Agda variants provided in Agda by Aaron Stump all boil down to rfl?
I don't know anything about the book you're reading, or Agda. Lean has a proof-irrelevant Prop if that makes any difference.
Here's the book, if you're interested: https://dl.acm.org/doi/book/10.1145/2841316
I am using the theorems defined in it to learn Lean
And here are the above theorems, revisited.
Many thanks, Kevin, for your help.
theorem notnotelim : ∀b: bool, bnot (bnot b) = b | tt := rfl | ff := rfl theorem notnotelim2 : ∀b: bool, bnot (bnot b) = b | tt := rfl | ff := rfl theorem notnotttprime : bnot (bnot tt) = tt := rfl theorem notnotffprime : bnot (bnot ff) = ff := rfl
The topic of chapter 3 in that book is what I try to cover in the natural number game.
@Phiroc
Just for reference, strictly speaking your notnotelim2
is not the same as the one in the book, which would be
theorem notnotelim : ∀ (b : bool), bnot (bnot b) = b | tt := rfl | ff := rfl theorem notnottt : bnot (bnot tt) = tt := rfl theorem notnotff : bnot (bnot ff) = ff := rfl theorem notnotelim2 : ∀ (b : bool), bnot (bnot b) = b | tt := notnottt | ff := notnotff
Last updated: Apr 24 2020 at 19:02 UTC


Help us to have a better understanding of the mind set of the Kashmiri youth. They also enlighten people by understanding their knowledge over various aspect of an issue


Dallas Buyers Club
Dec 24, 2012. Amid the grime, power ballads and surging strings, there is a familiar, reassuring story of oppression, liberation and redemption Hugh Jackman and his wife, Deborra-Lee Furness, hit the red carpet for the "Les . Miserables" premiere in New York City where Deborra tells Access how proud


A theme is a special kind of extension that changes the way the browser looks. Themes are packaged like regular extensions, but they don't contain JavaScript or HTML code.
You can find and try a bunch of themes at the Chrome Web Store.
Here is an example
manifest.json
file for a theme:
{ "version": "2.6", "name": "camo theme", "theme": { "images" : { "theme_frame" : "images/theme_frame_camo.png", "theme_frame_overlay" : "images/theme_frame_stripe.png", "theme_toolbar" : "images/theme_toolbar_camo.png", "theme_ntp_background" : "images/theme_ntp_background_norepeat.png", "theme_ntp_attribution" : "images/attribution.png" }, "colors" : { "frame" : [71, 105, 91], "toolbar" : [207, 221, 192], "ntp_text" : [20, 40, 0], "ntp_link" : [36, 70, 0], "ntp_section" : [207, 221, 192], "button_background" : [255, 255, 255] }, "tints" : { "buttons" : [0.33, 0.5, 0.47] }, "properties" : { "ntp_background_alignment" : "bottom" } } }
Colors are in RGB format.
To find the strings you can use within the "colors" field,
see
kOverwritableColorTable
.
Image resources use paths relative to the root of the extension.
You can override any of the images that are specified by the
strings in
kPersistingImages
.
This field lets you specify
properties such as background alignment,
background repeat,
and an alternate logo.
To see the properties and the values they can have, see
kDisplayProperties
.
You can specify tints to be applied to parts of the UI
such as buttons, the frame, and the background tab.
Google Chrome supports tints, not images,
because images don't work across platforms
and are brittle in the case of adding new buttons.
To find the strings you can use within the "tints" field,
see
kTintTable
.
Tints are in Hue-Saturation-Lightness (HSL) format, using floating-point numbers in the range 0 - 1.0:
You can alternatively use -1.0
for any of the HSL values
to specify no change.


State stores¶
⚠ Only no persistent store are supported ! => RocksDB implementation will arrive soon. ⚠
In Memory¶
As his name, this is an inmemory key value state store which is supplied by InMemoryKeyValueBytesStoreSupplier. You have an child materialized class to help you to use it.
It can be use in statefull operation like Count, Aggregate, Reduce but also to materialized IKTable<K, V> or IGlobalKTable<K, V>
Example :
builder.Table("test-ktable", InMemory<string, string>.As("test-store"));
builder
.Stream<string, string>("topic")
.GroupBy((k, v) => k.ToUpper())
.Aggregate(
() => 0L,
(k, v, agg) => agg + 1,
InMemory<string, long>.As("agg-store").WithValueSerdes<Int64SerDes>()
);
Be carefull, this state store is not persistent ! So after each application restart, you loose the state of your state store.
In Memory Windows¶
As his name, this is an inmemory windows state store which is supplied by InMemoryWindowStoreSupplier. You have an child materialized class to help you to use it.
It can be use in windowing statefull operation like Count, Aggregate, Reduce in ITimeWindowedKStream<K, V>
Example :
builder
.Stream<string, string>("topic")
.GroupByKey()
.WindowedBy(TumblingWindowOptions.Of(2000))
.Aggregate(
() => 0,
(k, v, agg) => Math.Max(v.Length, agg),
InMemoryWindows<string, int>.As("store").WithValueSerdes<Int32SerDes>()
)
.ToStream()
.To<StringTimeWindowedSerDes, Int32SerDes>("output");
Be carefull, this state store is not persistent ! So after each application restart, you loose the state of your state store.


--- # jekyll header --- {% include header.html %} {% include container-start.html %} {% include list-careteams.xhtml %} {% include list-locations.xhtml %} {% include container-end.html %} {% include footer.html %}


10 Cool Holiday Gifts To Get Your Most Stylish Friends
Shopping for the holidays can be somewhat overwhelming. If you are anything like me, you’re never really sure what to gift the incredible people in your life — and that pressure gets even more intense when you're looking for cool clothes and accessories to get your fashion-minded friends. To help you with your search, I sifted through the season's top trends to find 10 of the most shoppable holiday fashion gifts available this season. No matter if you’re shopping for yourself or for others, there is something special on here for everyone. From cozy sweaters and slippers to sequin dresses and heels, I'm calling it right now — these are the must-haves you need to add to your list.
The one question I always ask myself when shopping is, “How useful will this item be in my everyday life?” Useful items that can be incorporated into anyone’s day-to-day lifestyle make perfect gifts. Think chunky scarves that offer full protection against freezing gusts of wind, or oversized knits and cardigans that make layering super easy. If you're feeling more festive, anything with a little bit of sparkle also makes a great gift this time of year, so don't be afraid to gravitate toward some glitter.
Looking for holiday gifts that are both stylish and practical? Keep reading to check out the best picks for all of your favorite, trendy people.

ELOQUII Puff Sleeve Sequin Dress
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Not really sure what to wear to your next holiday party? This sequin dress is it! Dress it up with heels or make it funky with cool combat boots and tights. It also makes a great gift for anyone who can't get enough sparkle.
Sam Edelman Halo Mule
Halo Mule$120|Sam EdelmanSizes 5.5-10See On Sam Edelman
The holiday season is the perfect time to gift your loved ones a little shimmer. These mules will complete any party look.
UGG Fluff Yeah Slide
Fluff Yeah Slide$100|UGGSizes 5-12See On Ugg
With 11 colors to choose from, these fluffy slip-ons are the gift of the season. They're perfect for wearing around the house or for running quick errands.
Bluetiful Milano Classic Velvet Padded Headband
Bluetiful Milano Classic Velvet Padded Headband$108|FarfetchSee On Farfetch
Do you know someone who always splurges on the latest "it" accessory of the season? This padded headband makes the perfect gift. It's also available in an array of different styles and colors.
RAEN Exile Unisex Square Sunglasses
Exile Unisex Square Sunglasses$150|RAENSee On Raen
Sunglasses are the most practical gift of them all, since they are worn all year long. These unisex sunglasses can be paired with just about every look.
Daniel Wellington Petite Cornwall Watch
Petite Cornwall Watch $139|Daniel WellingtonSee On Daniel Wellington
Watches are forever timeless and classic gifts. This Daniel Wellington watch comes with interchangeable bands, making it extra special.
Bluebella Bibi Cami & Trouser Set
Bibi Cami & Trouser Set$68|Bluebella Sizes XS-2XLSee On Bluebella
Give someone the gift of comfort and relaxation this season. This luxurious cami and trouser set is an elegant alternative to the traditional fuzzy, holiday-themed PJs.
GAP Plaid Longline Wool-Blend Coat
Plaid Longline Wool-Blend Coat$248|GapSizes XS-XXLSee On Gap
The fit, fabric, and price of this coat make it all worth it. It's also available in tall and petite sizes, which is just icing on the cake.
Aritzia Main Character Lauren Fringe Scarf
Main Character Lauren Fringe Scarf$38|Aritzia See On Aritzia
Looking for the perfect scarf that's large and cozy, but not quite blanket size? This one pairs well with tailored coats and chunky sweaters, and provides the perfect pop of color for winter.
Check out more of our Bustle’s Most Wanted holiday gift guides here.


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Meters above sealevel
INFORMATION
Based on the open dataset AHN, a detailed digital elevation model of the entire Netherlands. This viewer allows you to narrow the range of the classification and as such show minute height differences in the Netherlands.


Server Browser - Better Battlelog Forums #1618
Sitemap
13. April 2012 01:06
Topicstarter
Guest
Please add the ability to search for servers with maximum of 2 and 4 players! I really want this feature please please!
13. April 2012 07:30
BrainFooLong
Administrator
Must be done by DICE. Sorry.
Greetz


{% extends "base.html" %} {% block content %}
This is the demo part. When I get back, remind to tell you about the time I took 100 nuns to Nairobi! I took a Viagra, got stuck in me throat, I've had a stiff neck for hours.  Jasper: Your baby is the miracle the whole world has been waiting for. Pull my finger! You are as precious to me as you were to your own mother and father. I swore to them that I would protect you, and I haven't.  Yeah, don't be shy, let's have a look. Pull my finger! Jasper: Your baby is the miracle the whole world has been waiting for. At this point, I'd set you up with a chimpanzee if it'd brought you back to the world!


Welcome to Prague Containers Meetup group.
We are a community with a mission to connect people interested in containers, cloud and devops topics.
Join our meetup group.
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Discrete¶
The method discrete computes the best fit using the binomial distribution when using discrete integer data. The questions can be summarized as following: given a list of nonnegative integers, can we fit a probability distribution for a discrete distribution, and compare the quality of the fit? For discrete quantities, the correct term is probability mass function: P(k) is the probability that a number picked is exactly equal to the integer value k. As far as discrete distributions go, the PMF for one list of integers is of the form P(k) and can only be fitted to the binomial distribution, with suitable values for n and p.
Note that if the best fit is obtained for n=1, then it is a Bernoulli distribution. In addition, for sufficiently large n, a binomial distribution and a Gaussian will appear similar according to B(k, p, n) = G(x=k, mu=p*n, sigma=sqrt(p*(1-p)*n)).
With distfit
you can also easily fit a Gaussian distribution if desired.
Binomial fitting¶
In order to find the optimal integer n value, you need to vary n, fit p for each n, and pick the n, p combination with the best fit. In the implementation, I estimate n and p from the relation with the mean and sigma value above and search around that value. In principle, the most best fit will be obtained if you set weighted=True (default). However, different evaluation metrics may require setting weighted=False.
It turns out that it is difficult to fit a binomial distribution unless you have a lot of data. Typically, with 500 samples, you get a fit that looks OK by eye, but which does not recover the actual n and p values correctly, although the product n*p is quite accurate. In those cases, the SSE curve has a broad minimum, which is a giveaway that there are several reasonable fits.
Lets see how the fitting works. For this example, I will generate some random numbers:
# Generate random numbers
from scipy.stats import binom
# Set parameters for the test-case
n = 8
p = 0.5
# Generate 10000 samples of the distribution of (n, p)
X = binom(n, p).rvs(10000)
print(X)
# [5 1 4 5 5 6 2 4 6 5 4 4 4 7 3 4 4 2 3 3 4 4 5 1 3 2 7 4 5 2 3 4 3 3 2 3 5
# 4 6 7 6 2 4 3 3 5 3 5 3 4 4 4 7 5 4 5 3 4 3 3 4 3 3 6 3 3 5 4 4 2 3 2 5 7
# 5 4 8 3 4 3 5 4 3 5 5 2 5 6 7 4 5 5 5 4 4 3 4 5 6 2...]
Initialize distfit for discrete distribution for which the binomial distribution is used. Now we want to fit data X, and determine whether we can retrieve best n and p.
# Import distfit
from distfit import distfit
# Initialize for discrete distribution fitting
dist = distfit(method='discrete')
# Run distfit to and determine whether we can find the parameters from the data.
dist.fit_transform(X)
# [distfit] >fit..
# [distfit] >transform..
# [distfit] >Fit using binomial distribution..
# [distfit] >[binomial] [SSE: 7.79] [n: 8] [p: 0.499959] [chi^2: 1.11]
# [distfit] >Compute confidence interval [discrete]
# Get the model and best fitted parameters.
print(dist.model)
# {'distr': <scipy.stats._distn_infrastructure.rv_frozen at 0x1ff23e3beb0>,
# 'params': (8, 0.4999585504197037),
# 'name': 'binom',
# 'SSE': 7.786589839641551,
# 'chi2r': 1.1123699770916502,
# 'n': 8,
# 'p': 0.4999585504197037,
# 'CII_min_alpha': 2.0,
# 'CII_max_alpha': 6.0}
# Best fitted n=8 and p=0.4999 which is great because the input was n=8 and p=0.5
dist.model['n']
dist.model['p']
# Make plot
dist.plot()
With the fitted model we can start making predictions on new unseen data
# Some data points for which we want to examine their significance.
y = [0, 1, 10, 11, 12]
results = dist.predict(y)
dist.plot()
# Make plot with the results
dist.plot()
df_results = pd.DataFrame(pd.DataFrame(results))
# y y_proba y_pred P
# 0 0.004886 down 0.003909
# 1 0.035174 down 0.035174
# 10 0.000000 up 0.000000
# 11 0.000000 up 0.000000
# 12 0.000000 up 0.000000
References¶
Some parts of the binomial fitting is authored by Han-Kwang Nienhuys (2020); copying: CC-BY-SA.


Its that time of the year again, when no ground remains quiet and no stand remains empty, when goals and baskets simply become excuses, to up the decibels and shout out loud!
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--- title: Controlling a Minefield layout: post tags: [story, crypto, netsec] uuid: 0db94fda-0de6-3cec-fcdd-5b2d2e1d23ea ---
Some time ago I was watching through the entire series of Deep Space 9. It was a Star Trek television show about a space station that rests next a wormhole that connects to the other side of the galaxy (The Delta quadrant).
The Delta quadrant is ruled by a group called the Dominion, and they are looking to conquer the Federation side of the galaxy (the Alpha quadrant). At one point during the series, the Federation needs to temporarily disable the wormhole to prevent Dominion ships from crossing through. They do this by mining the wormhole with identical, cloaked, self-replicating mines.
If a mine is destroyed, the neighboring mines will replicate a replacement. The minefield repairs itself. This makes removing the minefield within a reasonable amount of time difficult to impossible. If even a single mine is left behind, it can replicate the entire minefield again.
The most interesting question here is this:
When the Federation returns and wants to remove the minefield, how would they do it? What would stop the Dominion from doing the same thing?
The first thing that comes to mind is having a kill signal, but what would this signal be? It could simply be a plain "kill" command, but the Dominion could also broadcast such a signal to disable the minefield. Consider that the Dominion could capture a single mine and study everything about its workings. The minefield itself could therefore hold no secrets whatsoever. This leaves out any possibility of a secret kill command stored in the mines.
Here's what I would do, assuming that humans or aliens have not yet discovered some giant breakthrough in factoring in the Star Trek universe. I would randomly generate two very large prime numbers. Today, two 1024-bit primes should be more than enough, but in 350 years even larger numbers would probably be necessary. Then, I multiply these two number together and store this number in the mine software. To disable the minefield, I simply broadcast these two numbers into the minefield. The mines would be programmed to take the product of any pairs of numbers it receives. If the product matches the internal number, the mine shuts down.
Voila! A method for shutting down the minefield. The enemy can know everything about every single mine's construction, including the software and data stored on every mine, but will be unable to disable the minefield without factoring a very large composite number, which would presumably be difficult or impossible (within a reasonable amount of time).
Another possibility would be using a hash. Come up with a strong passphrase, then use a hashing algorithm like SHA-1 or MD5, or whatever is available and appropriate in 350 years, to hash the passphrase. Store the hash in the mines. When you want to disable the minefield, broadcast the passphrase. These mines will hash the broadcast and compare it to the stored hash. It's really the same solution as before: a one-way function. This is also similar to how passwords are stored inside a computer today.
If we wanted more commands, like "don't blow up any ships for awhile" or "increase minefield density", we could generate more composites corresponding to each command. However, once a command is issued, the secret — the two prime numbers — is out, and it cannot be used again. In this case, I would go into the realm of public key cryptography.
I would issue a command, along with a timestamp, and maybe even a nonce that could double as a global identifier for the command, and sign the whole deal using my private key. On each mine I would store the public key. When a command is received, the mines would check the signature before executing the command. I could then issue repeat commands, as the timestamps would change each time. An adversary learns nothing when a command is issued, because the time stamps would make any replay attacks useless.
Minefields just like this exist today all over the Internet, as botnets. Thousands of computers all around the world become infected with malware and come under the control of a single individual or group. Individual machines in the botnet could be taken out, but removing the entire botnet is difficult as it grows and repairs itself. Any security researcher could disassemble the botnet malware and learn anything about it, so the malware can store no secrets. How does a malicious person control the botnet, then, without someone else taking control? Public key cryptography, just as described above.


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Woman, 20, died after boyfriend crashed into lamppost in 80mph car race
A driver has been jailed for eight years after killing his friend’s girlfriend in a late night 80mph road race.
Neil Brooks, 49, and Jay Bayliss, 25, raced each other through 30mph residential streets in Brynmawr, South Wales in July 2017.
Bayliss lost control of his vehicle and smashed into a lamppost, leaving passenger and girlfriend Sophie Brimble, 20, dead.
He was so severely injured that he was not fit to be charged over his girlfriend’s death.
Brooks denied causing Miss Brimble’s death by dangerous driving and causing serious injury to Mr Bayliss by dangerous driving.
However, he was found guilty by a jury and sentenced to eight years.
Brooks had instigated the race when he recognised Bayliss’ VW Polo, Cardiff Crown court heard.
Mr Cobbe said: ‘Mr Bayliss was not solely responsible for the collision.
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‘Mr Bayliss was driving at excessive speed because he had got himself involved in an impromptu race with Mr Brooks.
‘It is a race that started about half a mile prior to the collision.’
‘Aggressive’ driving by Bayliss and Brooks ‘deteriorated into the impromptu race that in turn caused the catastrophic collision’, Mr Cobbe said.
He said: ‘They both then drove at high speed along that road, having little or no regard to their excessive speed of the fact that it was through a residential area.
‘They pushed their vehicles hard through this residential area, both of them reaching speeds in excess of 80mph, their focus now on their race.’
The pair were driving at more than double the 30mph speed limit in the minutes before the fatal crash, Mr Cobbe claimed.
The prosecutor added that it was a case of ‘one driver egging the other on’ that led to ‘catastrophe’.
He said: ‘Mr Bayliss was travelling way above the speed limit in the lead up to the collision.
‘He had been driving at excessive speed through a residential area in excess of 80mph.
‘Mr Bayliss lost control, his car began to rotate and it slid towards a metal lamppost. The result was a catastrophe.’
In a victim impact statement, Sophie’s mother, Ruth Jenkins said: ‘On that day our lives changed forever, having the police officer tell us that Sophie had died left us in complete shock and for days everything was a daze.

‘This should never have happened. It was all down to two drivers’ stupidity and carelessness with no thoughts of consequences.’
Brooks was also disqualified from driving for nine years.
Judge Michael Fitton said: ‘The loss of Sophie’s life at the age of 20 was a needless tragedy that could so easily have been avoided.
‘The hurt that has been caused is incalculable.’
Got a story for Metro.co.uk?
Get in touch with our news team by emailing us at<EMAIL_ADDRESS>For more stories like this, check our news page.


Welcome to our mod_swift demo.
- helloworld.mustache (raw Apache handler calling Mustache template in docroot)
- /express/hello (TinyExpress invoking http.Server style onRequest callback)
- /express/connect (TinyExpress invoking Connect middleware)
- /helloworld/ (raw Apache debug handler w/o a mapped docroot file)
- /helloworld/testit.html (raw Apache debug handler w/ a mapped docroot file)
mod_swift is brought to you by The Always Right Institute and ZeeZide. Enjoy!


Shaarli export of all bookmarks on Sat, 14 May 16 23:54:18 +0200
- Markdown - code
- PHP stuff:
<?php
phpinfo();
?>
Python stuff:
import logging
import os
if __name__ == '__main__':
logging.info("Current directory: %s", os.getcwd())
- Markdown - lists
- Standard:
* item1
* item2
* item3
Nested:
- item1
- item1.1
- item1.2
- item2
- Markdown - headers and quotes
- A First Level Header
====================
A Second Level Header
---------------------
Now is the time for all good men to come to
the aid of their country. This is just a
regular paragraph.
The quick brown fox jumped over the lazy
dog's back.
### Header 3
> This is a blockquote.
>
> This is the second paragraph in the blockquote.
>
> ## This is an H2 in a blockquote


It is always better to tell the truth than to lie.
The more you do something, the better you will become at it.
The more you know, the more powerful you can be.
It’s better to finish something late than to never do it at all.
A person who helps at a difficult time is a person who you can rely on.
It’s good to be clean. God is clean, and you should be too.


Brunette Bombshell Niece Waidhofer Sizzles In Steamy Shower Snap
November 25, 2019
Brunette Bombshell Niece Waidhofer Sizzles In Steamy Shower Snap
Niece Waidhofer is known to heat up Instagram with a her sexy photos. Her most recent update showed her in a steamy shower snap wearing a skintight minidress that highlighted her curves.
In the photo, the beauty was standing close to the marble wall in an indoor shower that had a glass door. Her sleeveless dress had ruched sides that were gathered on a drawstring. The ensemble had a low-cut neckline that showed off her voluptuous chest. Large armholes on the number also gave her followers a nice peek at her side boob. With one hand on the wall and one of her knees lifted up slightly, she struck a pose that showed off her curvy derrière and slender waist.
Niece appeared to be wet in the photo, although it was impossible to tell through the beads of water that had collected on the door. Whether she was wet or not, she looked sexy in the shower as the camera captured her looking down with a sensual pout on her face.
The stunner wore a full face of makeup that included dark eyebrows, smoky eyeshadow, thick lashes and a nude color on her lips. Her hair fell in loose waves down her back.
As she is known to do, she entertained her fans with a funny question about washing laundry while taking a shower.
Many of her fans played along and even offered up their best laundry tips, but other followers simply commented on how hot she looked in the snap.
“You never cease to amaze me with your beauty,” commented one admirer.
“This pic is not that revealing but still its so hot you are really something,” a second fan wrote.
Loading...
“That is the hottest, sexiest laundry/shower photo ever! You are so gorgeous and sexy!” gushed a third follower.
One follower even asked the Instagram sensation for a shower video.
“Please make a video in the shower while wearing this,” the fan asked.
The comment sections on Niece’s updates can be just as risqué as her photos, as the stunner often likes to engage her followers with some back-and-forth banter. Her fans may visit her page for the pictures, but they often end up staying a while to join in the conversation. That’s not to say she doesn’t try her best to create sexy images. She recently uploaded some bedroom selfies in which she flaunted her booty in a revealing pair of lingerie. While her page isn’t for everyone, Niece seems to know what her followers like to see.


Brendan's Beez
Bee development calculator
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Date
:


They say “It takes a village to raise a child” and we would be remiss if we didn’t thank all of the people who helped transform all of us in DA4 from data newcomers to savvy analysts.
To our incredible teachers, Andrew Marsee, Kristen Lucas and Teresa Whitesell:
You made our journey possible through your honesty, good humor and understanding. Despite the challenges presented with running a bootcamp through a virtual environment you built a true sense of community and camaraderie. Thank You!!
To the analytics masterminds of the NSS, Mary van Valkenburg, Mahesh Rao and Michael Holloway:
Thank you for your time and expertise in creating our assignments and for the extra time you gave to us whether it was to meet in class or to help us with a problem outside of class.
To the career development team of Julie Heckler, Marla Lamont and Ashley Canino:
Thank you for your tireless efforts to drag us into the present with our professional profiles and resumes. More importantly, thank you so much for the opportunities to interact with local data professionals. These relationships with area businesses and organizations we’ve made will last a lifetime.
Thank you to Sekou Tyler for taking the time to share your incredible PowerBI and Tableau skills with us. We are not worthy but hope to be close someday.
Last but definitely not least, a hearty thank you to John Wark for your vision to bring all of us together with the hope that we will go out there and make Nashville a better place to live.
Thank you to the industry professionals who joined us for the roundtable event. Your candor and insights about working in the field of Data Analytics prepared us for ‘real-life’ in immeasurable ways.
- Rachel Abram
- Tito Amoguis
- Lori Butler
- Amanda Cotton-Ferrer
- Branden Dahlem
- Ross Dingwall
- Ben Hummel
- Willis Kelly
- Mark Koivula
- Chris Mulvey
- Nadia Roumanos
- Paul Rowland
- Ann Rumsey
- Matt Settersten
- Benjamin Shuler
- Sarah Weatherby
Thank you to those that participated in the Mock interview event to give us a taste of what an interview for a job in Data Analytics feels like. You put us through the paces and provided incredible feedback so we can nail our interviews.
- Ron Balcarras
- Greg Bauman
- Pete Brumm
- Andrea Busch
- Logan Cones
- Jim Degner
- Britnee Foreman
- Bobby Gambrell
- Ken Graham
- Chris Hart
- Ed Hickey
- Cristina Ingram
- John Irvin
- Jason King
- Simon Kingaby
- Kristen Lezzi
- Charles Lundquist
- John Liu
- Patrick MacAllister
- Peter Mancini
- Sanjay Mishra
- Chris Morgan
- Lindsey Morris
- Krunal Patel
- Ed Pearson
- Joe Porter
- Jose Rivera
- Nadia Roumanos
- Melissa Russell
- Shruti Sharma
- Mikil Taylor
- Jason Turan
- Jim Vaughn
- Steven Waston
- Sergio Weiberg
Thank you to our project partners who provided data and questions for our large group projects. Your willingness to share your time and expertise gave us valuable insights into two vast worlds.
Nashville Public Health Department:
Dr. Rand Carpenter, Chief Epidemiologist for Metropolitan Government of Nashville and Davidson County
Ursa Health:
Aaron Mock, Senior Vice President, Operations
Ryan O’Connell, Director of Knowledge


Classes and defines must not be defined within other classes or defines. Classes and defines should be declared as close to node scope as possible. If you have a class or define which requires another class or define, graceful failures must be in place if those required classes or defines are not declared elsewhere.
class apache { class ssl { } } class apache { define config() { } }


|
Blackboard
Picture a number of students are all writing on a blackboard at the same time, trying to solve a problem. You think they will? What if we add a teacher who first asks each student what he wants to write on the blackboard and decides which student has the best idea. And when the student is finished, the process is repeated. This is the idea behind the blackboard architecture. The students are called Knowledge Sources. The teacher is called the Scheduler. The Blackboard is the common datastructure of the Knowledge Sources. The blackboard is able to represent all states of some problem space. The blackboard contains several levels of description with respect to the problem space. These levels may have several relationships with each other, like is-part-of. Levels are parts of the same datastructure. If separate datastructures are needed, the blackboard is divided into panels. Each panel in turn may contain several levels. The Knowledge Source is a component that adds to the solution of the problem. It may be anything that reads from some level of the blackboard and suggests some change to parts of the blackboard. Its most common form is the production rule. Knowledge Sources are completely unconnected to other Knowledge Sources. The Scheduler determines which Knowledge Source gets the chance to change the blackboard. Every execution cycle, it notices changes to the blackboard, activates the appropriate Knowledge Sources, selects one of these and executes it. The blackboard is a specialisation of the Repository architecture. Examples
Where does it come from?The blackboard is developed in the early 1970's for Hearsay-II. Its purpose was to interpret spoken sentences, in order to query a database. The speech signal was interpreted in several levels ranging from acoustic signal parameters to complete sentences. The architecture is an extension of the Production System. In Production Systems there is also a common data structure, called working memory. It contains production rules, rules that execute any number of actions, when their preconditions are fulfilled. These rules fire directly. The blackboard architecture adds a controller to this system and allows for more flexible ways to change the common datastructure. When should you use it?
How does it work?Running the program having this architecture, entails continually executing the execution cycle (control, cycle). These are the steps that are continuously executed during the cycle:
Problems
Common implementation techniques
Links |


{% extends "bootstrap.html" %} {% set active_page = 'About' %} {% block content %}
Niko Matt and Zack like movies, and we've all been there when you want to watch one and just can't decide. So we decided to alleviate this problem with our state of the art recommendation program.
Movie Selector is still awaiting patent approval. We will not sell your data or cookies because frankly we don't know how.
{% endblock %}


Let’s start with C#. In C# nulls may show up in switch statement in two cases:
We switch on string type
We switch on nullable char, nullable integral type (byte, short etc.)
or nullable enum
Both cases are handled by compiler in the same way,
we just declare case null label and it will work out of the box.
This is illustrated by simple program:
Java switch and null’s
In Java null’s may show up in switch statement when we switch
on primitive type wrappers like Integer or on String or on enum type.
In that case Java will throw NullPointerException as is demonstrated by program:
Program output:
As we have seen it’s not even possible to declare case null label.
In Java until you are 100% sure that value will not contain null you must
explicitly check for null before switch as in:
Or use trick with default value:
WARNING: This Java behaviour may cause problems when we translate code from C# to Java.
JavaScript switch and null
JavaScript switch statement is very flexible, each case label may contain
an expression that will be evaluated at runtime. To compare case label values to
switch value JavaScript uses === operator.
In JavaScript there is no problem with using null and even undefined as case
labels. Only tricky thing is with NaNs because NaN === NaN yields false
in JavaScript. This is enforced by IEEE 754 standard that describes floating point
numbers representation and behaviour.
In other words we can use NaN as a case label but
program will never enter block of code associated with that label. As a side note
it’s worth to mention that in JavaScript NaN is
the only value for which expression x === x yields
false.
Following program demonstrates flexibility of JavaScript switch statement:
This program will write:
Notice that "default" was printed for NaN value.
That’s all for today, I hope you learned something new from this article.
May the Force be with you.


A tag loop is a template file construct which allows you to iterate through the collection of a tags that CodeGen has information about. In order to use tag loops you must be generating code based on a repository structure that has at least one field tag defined.
Tag loops are delimited by a matching pair of <TAG_LOOP> and </TAG_LOOP> tags that surround the template code to be inserted for each tag. The code between the opening and closing tags is repeated for each tag in the structure.
Tag loop tokens are tokens that can only be used within a tag loop:
There are two types of tag loops, called multi-line tag loops, and in-line tag loops.
Multi-Line Tag Loops
Multi-line tag loops occur when the opening and closing tag loop tags appear on separate lines in a template file, and delimit one or more entire lines of template code, like this:
[code]
<TAG_LOOP>
code
</TAG_LOOP>
[code]
Multi-line tag loops generate one or more lines of output code for each tag that is processed.
In-Line Tag Loops
In-line tag loops exist when the opening and closing tag loop tags appear on the same line in a template file, and delimit part of a line of template code, like this:
[code] <TAG_LOOP> code </TAG_LOOP> [code]
In-line tag loops generate code into the current output line.
Copyright © 2021 Synergex International, Inc.


Street Address:
City:
US State:
Post Code:
Selected value using ng-model: {{value}}
Selected value using form control: {{formControl.value}}


{{ partial "head.html" . }} {{ partial "top-nav.html" . }} {{ partial "hero.html" . }} {{ partial "scripts.html" . }}


We're sorry but iview-admin doesn't work properly without JavaScript enabled. Please enable it to continue.


#Teaching Lab Shared Server for Sequence Analysis#
##Sept. 2014 - BP205A##
Server: derisilab105.ucsf.edu
- OS: Ubuntu Linux 12 LTS
- RAM: 256Gb
- Cores: 64
- Disk: 7.3 Tb
- Access: use ssh, sftp, or scp to access your account or files. Note, off campus will require VPN. In the teaching lab, the network “TeachingLab” should let you in. Password is written on the router.
- Home Directories: Each team will share an account and home directory, all located in /data/
- Standard shell: zsh
- Shared Data: All shared class data will be stored in: /data/ClassData/
LIST of INSTALLED PACKAGES
(send package or tool install requests to joe AT derisilab.ucsf.edu)
- Programming, graphing, database
- mysql
- gcc
- perl
- python
- python-biopython
- matplotlib
- numpy
- scipy
- pandas (data analysis library for python)
- gnuplot
- Statistics
- Multiple Sequence Alignment
- clustalw
- blast2
- mafft
- muscle
- Deep sequence utilities / tools
- bcftools
- bowtie2
- blat
- bwa
- gsnap
- fastx toolkit
- samtools


Thinking about learning how to program? Choose from the below options to determine the best language for you.


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Kai Kuspa is a Senior at Stanford University studying Computer science with a special interest in electrical and biological systems. He enjoys the process of making cool products to solve interesting problems, and hopes to continue to find new ways to transform the study of biology into an information science.


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DaChip8JS is my C# CHIP-8 interpreter converted to run in the browser using Bridge.NET.
The ROM loaded below is Breakout (Brix hack) [David Winter, 1997] from the Chip-8 Pack.
You can use the cursor keys to move the paddle on a desktop or tap on the left/right half of the gamescreen on a mobile device.


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public final class Constants
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
static boolean |
BOOT_PLUGIN
Indicating whether or not the third-party library is used to load automatically plug-ins (algorithms, metrics, etc.) when booting.
|
static java.lang.String |
DATABASE_DIRECTORY
Default relative directory containing database of Hudup framework.
|
static java.lang.String |
DATE_FORMAT
Default date format.
|
static int |
DECIMAL_PRECISION
The maximum number digits in decimal precision.
|
static int |
DEFAULT_BALANCER_EXPORT_PORT
Default exported port of Hudup balancer.
|
static int |
DEFAULT_BALANCER_PORT
Default port of Hudup balancer.
|
static int |
DEFAULT_CONTROL_PANEL_PORT
The graphic user interface (GUI) allowing users to control Hudup server is called control panel.
|
static java.lang.String |
DEFAULT_EXT
Default extension of default file.
|
static int |
DEFAULT_LISTENER_EXPORT_PORT
Default exported port of Hudup listener.
|
static int |
DEFAULT_LISTENER_PORT
Default port of Hudup listener.
|
static int |
DEFAULT_LISTENER_TASK_PERIOD
This is the period in miliseconds that the listener does periodically internal tasks.
|
static float |
DEFAULT_MAX_RATING
Default maximum rating value in rating matrix.
|
static float |
DEFAULT_MIN_RATING
Default minimum rating value in rating matrix.
|
static int |
DEFAULT_SERVER_PORT
Default port of Hudup (recommendation) server
|
static int |
DEFAULT_SERVER_TASK_PERIOD
This is the period in miliseconds that the Hudup server does periodically internal tasks such as data mining and learning knowledge base.
|
static int |
DEFAULT_SERVER_TIMEOUT
The Hudup server is available to serve incoming request in a interval called a timeout in miliseconds.
|
static java.lang.String |
IMAGES_PACKAGE
The directory contains images.
|
static java.lang.String |
KNOWLEDGE_BASE_DIRECTORY
Default relative knowledge base directory.
|
static java.lang.String |
LOGS_DIRECTORY
Default relative log directory storing log files.
|
static java.lang.String |
Q_DIRECTORY
Default relative "query" directory that contains network services (JSP file, HTTP servlet, etc.) for requesting functions of Hudup server such as recommendation service and updating ratings service.
|
static java.lang.String |
RESOURCES_PACKAGE
The resources directory that contains any resources except classes such as images, template files.
|
static java.lang.String |
ROOT_PACKAGE
The root package (root directory) of all classes.
|
static boolean |
SUPPORT_AUTO_INCREMENT_ID
The integer identification of every object (item, user) in data set (database) is often increased automatically.
|
static java.lang.String |
TEMP_DIRECTORY
Default relative temporary directory storing temporary files.
|
static java.lang.String |
TEMPLATES_PACKAGE
The directory contains template files.
|
static boolean |
TRY_RANDOM_PORT
When Hudup server, listener, or balancer starts, it uses firstly the port
DEFAULT_SERVER_PORT . |
static float |
UNUSED
Unused float number.
|
static java.lang.String |
URI_SEPARATOR_CHAR
URI, abbreviation of Uniform Resource Identifier, is the string of characters used to identify a resource on Internet.
|
static java.lang.String |
VERSION
Current version of Hudup framework.
|
static java.lang.String |
WORKING_DIRECTORY
Default relative working directory.
|
| Constructor and Description |
|---|
Constants() |
public static final java.lang.String VERSION
public static final float UNUSED
public static final float DEFAULT_MIN_RATING
public static final float DEFAULT_MAX_RATING
public static final java.lang.String DEFAULT_EXT
public static final int DECIMAL_PRECISION
public static final java.lang.String DATE_FORMAT
public static final boolean BOOT_PLUGIN
false
which means there is no third-party library is used to load automatically plug-ins.
However Hudup framework will use JPF boot library developed by Java Plug-in Framework (JPF) Project if this constant is set to be true
.
JPF boot library is available at http://jpf.sourceforge.net/boot.html.public static final java.lang.String WORKING_DIRECTORY
public static final java.lang.String KNOWLEDGE_BASE_DIRECTORY
KBase
(s).
KBase
is the highest-level abstract data format (association rule, frequent pattern, Bayesian network, etc.) which often support model-based recommendation algorithm to produce list of recommended items.public static final java.lang.String LOGS_DIRECTORY
public static final java.lang.String TEMP_DIRECTORY
public static final java.lang.String Q_DIRECTORY
public static final java.lang.String DATABASE_DIRECTORY
public static final java.lang.String ROOT_PACKAGE
public static final java.lang.String RESOURCES_PACKAGE
public static final java.lang.String IMAGES_PACKAGE
public static final java.lang.String TEMPLATES_PACKAGE
public static final java.lang.String URI_SEPARATOR_CHAR
public static final int DEFAULT_SERVER_PORT
public static final int DEFAULT_LISTENER_PORT
public static final int DEFAULT_LISTENER_EXPORT_PORT
public static final int DEFAULT_BALANCER_PORT
public static final int DEFAULT_BALANCER_EXPORT_PORT
public static final int DEFAULT_CONTROL_PANEL_PORT
DEFAULT_SERVER_PORT
.public static final boolean TRY_RANDOM_PORT
DEFAULT_SERVER_PORT
. If this constant is true
, many random ports are tried until success.
By default, this constant is false
, which means that there is no such randomization.public static final int DEFAULT_SERVER_TASK_PERIOD
public static final int DEFAULT_SERVER_TIMEOUT
public static final int DEFAULT_LISTENER_TASK_PERIOD
public static final boolean SUPPORT_AUTO_INCREMENT_ID
false
, which means that there is no support of auto-increment.


Id = 47
Nombre Capitulo = Pluto
Tipo = Dwarf planet (Celestial Dwarf)
Dimension = Replacement Dimension
Personaje = ['https://rickandmortyapi.com/api/character/192', 'https://rickandmortyapi.com/api/character/307', 'https://rickandmortyapi.com/api/character/419', 'https://rickandmortyapi.com/api/character/420', 'https://rickandmortyapi.com/api/character/421', 'https://rickandmortyapi.com/api/character/422']
Numero Personaje = ['192', '307', '419', '420', '421', '422']
URL Locacion = https://rickandmortyapi.com/api/location/47


wide range of pre defined packages to choose from
create your own custom package,single and multiple selection


Limboole on the Go!
Uses Limboole (MIT licensed), PicoSAT (MIT licensed), and DepQBF (GPLv3 licensed) to parse an easy SAT and QBF DSL (instead of relying on DIMACS). Compiled using Emscripten, Source Code and Modifications are available on GitHub. Created by Max Heisinger. I also wrote a short blog entry about this. Support on GitHub and on #limboole on Libera.Chat.
How-To
Usage
Write formulas into the left text input, press the button and get results on the right side. The formula can also be analyzed using Shift + Enter. Every time a formula is analyzed, the link in your URL-bar (awesome-bar, location-bar or some other name) updates and can be copied. This link can be opened at other browsers and directly executes the given formula. Give it a try! Additionally, Drag & Drop support works by dragging and dropping an input file onto the input area on the left hand side. Browser support is required and indicated by the grey box next to the input heading if available.
Modes
| Validity Check | Check if the formula is valid, i.e. all possible combinations of variables satisfy the formula. |
| Satisfiability Check | Check if there is any assignment of variables so that the formula is satisfied. |
| QBF Satisfiability Check | Same as Satisfiability Check, but with expanded input language adding ∀ (written as #) and ∃ (written as ?). Uses DepQBF. |
Syntax
The input format has the following syntax in EBNF ( [ ... ] means optional, { ... } means repeated arbitrary many times).
expr ::= iff iff ::= implies { '<->' implies } implies ::= or [ '->' or | '<-' or ] or ::= and { ('|' | '/') and } and ::= not { '&' not } not ::= basic | '!' not basic ::= var | '(' expr ')'
var
is a string over letters, digits and the following characters: - _ . [ ] $ @
.
The last character of var
should be different from -
.
Compared to classical Limboole, the syntax is improved for mobile devices: The /
symbol also counts as OR (same as |
).


I graduated summa cum laude with B.A. in Economics from New Economic School in 2017 where I received Bachelor of Excellence award as the highest achieving undergraduate student.
Before starting the graduate school I worked at the Moscow Exchange studying the behavior of market makers, in an asset management company developing high yield bonds and macro event driven strategies and in a IT company as a data analyst
In high school I was a competitive alpine skiing participating in Russian national championships.


--- layout: post permalink: blackbeltdomains.html Tags: Array NameOfCoupon: Blackbelt Domains Cash Back Summary: See our Blackbelt Domains Coupon Code, Blackbelt Domains Rebate, Blackbelt Domains Promo Code, Blackbelt Domains Discount, Blackbelt Domains Coupon Cash Back Rebate here. MetaKeywords: Blackbelt Domains Coupon Code, Blackbelt Domains Rebate, Blackbelt Domains Promo Code, Blackbelt Domains Cash Back Rebate, Blackbelt Domains Discount, Blackbelt Domains Coupon Image: images/8666.jpg LinkURL: http://www.shareasale.com/r.cfm?b=42546&u=412002&m=8666 affiliate_url_link: http://www.icouponblog.com/jane.php?id=1939 thesis_readmore: See the Blackbelt Domains Coupon thesis_thumb: http://www.icouponblog.com/tn.php?merchantURL=blackbeltdomains.com Title: Save 12.5% - Blackbelt Domains Coupon Code for blackbeltdomains.com. Blackbelt Domains Rebate & Discount thesis_description: Our Blackbelt Domains Discount Coupon Code for blackbeltdomains.com. We have the best Blackbelt Domains Rebate anywhere. thesis_keywords: Blackbelt Domains, Blackbelt Domains Coupon Code, Blackbelt Domains Discount, Blackbelt Domains Rebate product_name: Blackbelt Domains hop_url: http://www.icouponblog.com/hop.php?id=1939 ---
Don’t be a wimp when it comes the web. Say goodbye to the days when thoughts of web hosting gave you nightmares. Power yourself with Blackbelt Domains.com. Blackbelt Domains provides you with everything you need to set up your own web host. Their world-class products and 24/7 support is sure to please. With every domain purchase, you’ll receive essential tools for a successful webhost absolutely free! The free tools include Quick Blogcast, Hosting with Site Builder, Personalized email, a starter web page and total DNS control. These are just of the few the reasons to select Blackbelt Domains. 99.9% uptime is another!
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-
Advanced Algorithms
-
Algorithmic Game Theory
-
Artificial Intelligence
-
Causal Inference - I
-
Causal Inference - II
-
Computer Architecture
-
Computer Graphics
-
Database Management
|
-
Deep Learning
-
Design Practices
-
Extreme Classification
-
Foundations of Blockchains
-
Graph Neural Networks
-
Introduction to Cryptography
-
Machine Learning
-
Natural Language Processing
|
-
Online Algorithms
-
Operating Systems
-
Programming Languages
-
Representation Learning
-
Robot Intelligence
-
Tech Interview Prep
-
Unsupervised Learning
|


importance: 5
Create a function clear(elem) that removes everything from the element.
clear(elem)
```


1 write to completeEvent
Microsoft.Management.Infrastructure.CimCmdlets (1)
CimBaseAction.cs (1)
63
this.
completeEvent
= new ManualResetEventSlim(false);
5 references to completeEvent
Microsoft.Management.Infrastructure.CimCmdlets (5)
CimBaseAction.cs (5)
97
this.
completeEvent
.Set();
107
this.
completeEvent
.Wait();
108
this.
completeEvent
.Dispose();
171
if (this.
completeEvent
!= null)
173
this.
completeEvent
.Dispose();


Waning immunity and the little paradox of R0
01 Jan 2022Disclaimer: I’m not an epidemiologist, so adjust your priors accordingly. Code available here.
A classic finding from epidemiology is that in a single-wave epidemic, reducing R0 lowers the number of cases. To reduce R0, most countries have adopted some combination of Non-Pharmaceutical Interventions (NPIs) like masks and testing.
But in a multi-wave epidemic with waning immunity, a contrarian intuition about R0 might cross one’s mind. By keeping cases low, might we be making our population more vulnerable to the next wave? The dynamic could be similar to forest fires. We might be able to stop forest fires now, but we’ll just build up dry tinder for a worse forest fire later. Since waves of Covid are inevitable, why bother fighting it?
These ideas are important but hand-wavy, so I decided to build a model. What I found was at once surprising and clarifying.
Model background
I used a standard SIR model with seasonality and waning immunity. Slow seasonally-based changes in R0 drive sharp seasonal waves of infection. Because of waning immunity, the sharp waves of infection continue indefinitely.
My analysis focuses on years 2-6 of the epidemic and my code can be found here.
Observation 1: Reducing R0 reduces total infections, even with waning immunity
The first observation is that reducing R0 always drives a long-term reduction in cases, even if it doesn’t eliminate waves.
Why is this relevant? A lot of people have pointed out the UK has widespread access to rapid tests, and yet still got hit by a strong Omicron wave. Some have claimed that this demonstrates the futility of rapid tests.
But as these simulations show, it’s entirely possible that UK rapid tests may have significantly reduced infection, relative to what it would be otherwise. Rapid tests won’t end the pandemic, but they can still drive a useful reduction in infection.
Observation 2: Reducing R0 can sometimes cause higher peaks
The second and more interesting observation is that in many parts of the parameter space – particularly where baseline R0 is high – a reduction in R0 can paradoxically cause higher peaks. That’s because by preventing infections during the summer months, we might create a more vulnerable population during the winter months.
I must stress though, that in all scenarios where lower R0 caused stronger waves, the overall number of infections (i.e. including both peaks and troughs) was lower.
This means there is a kernel of truth to the contrarian hypothesis about R0. Fighting forest fires always reduces the overall amount of fire; but because of the dry tinder you build up, you risk some really bad fires.
Observation 3: R0-induced waves can be mitigated by adapting behavior
When considering load on our medical system, it is worrisome that reducing R0 might paradoxically increase the strength of waves. Thankfully, this effect can be mitigated by preferentially reducing R0 when infections go up, for example via stronger testing or social distancing.
These results are pretty robust
My main observation is robust to a wide range of parameters. In all scenarios, reducing R0 reduces the overall count of cases. And if you push R0 down hard enough you can even get to Zero Covid.
The “dry tinder” observation is less robust, but still very real in much of the space. For a wide range of parameters – particularly where R0 is already high – reducing R0 can paradoxically increase the peaks of waves. Adapting behavior during peaks can mitigate this effect.
Implications
The modeling tells us that reducing R0 a little bit (e.g. via NPIs like masks or testing) can somewhat reduce infections, even though waning immunity might mean we continue to experience large waves indefinitely.
But what should our policy be? Do we really want to mask indefinitely so we can slightly reduce infections? Some people highly value a reduction in infections, and they will call for continued use of NPIs. Others point out that vaccines have made the disease milder, and the social burden of NPIs may not be worth it, particularly for children and those who can’t work from home. Those questions are outside the scope of this post, but they can and should be answered democratically.
Limitations
Among the many things not accounted for in the model are exposure periods, hetereogeneity, network clustering, new variants, partial immunity, cross immunity, vaccination, and boosting. Vaccination works by reducing the number of susceptible people in the population. This can dramatically drive down infections but should not qualitatively change the dynamics of R0-reducing initiatives like NPIs. The model was not fit to real world data, although it did explore a large region of parameter space.