Problem 1. Reverse string
Examples:
| input | output |
|---|---|
| sample | elpmas |
Problem 2. Correct brackets
Examples:
| correct expression | incorrect expression |
|---|---|
| ((a+b)/5-d) | )(a+b)) |
Problem 3. Sub-string in text
Examples:
| text | substring | result |
|---|---|---|
| The text is as follows: We are living in an yellow submarine. We don′t have anything else. inside the submarine is very tight. So we are drinking all the day. We will move out of it in 5 days. | in | 9 |
Problem 4. Parse tags
|
<upcase>text</upcase> to uppercase. <lowcase>text</lowcase> to lowercase <mixcase>text</mixcase> to mix casing(random) |
Examples:
| input | result |
|---|---|
| We are <mixcase>living</mixcase> in a <upcase>yellow submarine</upcase>. We <mixcase>don′t</mixcase> have <lowcase>anything</lowcase> else. | We are LiVinG in a YELLOW SUBMARINE. We dOn'T have anything else. |
Note: Regions can be nested.
Problem 5. nbsp
Some Examples (for easier check):
| text | output |
|---|---|
| some text | some text |
Problem 6. Extract text from HTML
Examples:
| html page | output |
|---|---|
| <title>Sample site</title>
text
more text
and more...
in body | Sample sitetextmore textand more...body |
Problem 7. Parse URL
Examples:
| URL | result |
|---|---|
| http://telerikacademy.com/Courses/Courses/Details/239 | protocol: http, server: telerikacademy.com resource: /Courses/Courses/Details/239 |
Problem 8. Replace tags
Examples:
| input | output |
|---|---|
|
Please visit our site to choose a training course. Also visit our forum to discuss the courses.
 |
Please visit [URL=http://academy.telerik.com]our site[/URL] to choose a training course. Also visit [URL=www.devbg.org]our forum[/URL] to discuss the courses.
 |
Problem 9. Extract e-mails
Some Examples (for easier check):
| input | output |
|---|---|
| This is our mail<EMAIL_ADDRESS>Please use it instead of<EMAIL_ADDRESS>since it is our old one. This is fake mail. |<EMAIL_ADDRESS><EMAIL_ADDRESS>|
Problem 10. Find palindromes
Some Examples (for easier check):
| input | output |
|---|---|
| Text with palindromes ABBA, lamal, exe. | ABBA, lamal, exe |
Problem 11. String format
Examples:
Problem 12. Generate list
Some Examples (for easier check):


Project 1 has started up! Log in there to find your teammates and project instructions.
Check out Professor Mimno's project showcase. The project this year is similar enough to Prof. Mimno's from past years that these examples ought to be useful.
Source for our first dataset today. Our second dataset is sourced from Gapminder. We'll do a spinoff on one of Hans Rosling's famous data presentations.
I made a JSFiddle if you want to play with color scales and interpolation.


Squinty, the Comical Pig
by Richard Barnum
Chapter 1: “Squinty and the Dog”
Additional Information
- Year Published: 1915
- Language: English
- Country of Origin: United States of America
- Source: Barnum, R. (1915). Squinty, the comical pig. New York: Barse and Hopkins.
-
Readability:
- Flesch–Kincaid Level: 3.5
- Word Count: 2,444
- Genre: Fantasy
- Keywords: children's stories
- ✎ Cite This
Downloads
Squinty was a little pig. You could tell he was a pig just as soon as you looked at him, because he had the cutest little curly tail, as though it wanted to tie itself into a bow, but was not quite sure whether that was the right thing to do. And Squinty had a skin that was as pink, under his white, hairy bristles, as a baby’s toes.
Also Squinty had the oddest nose! It was just like a rubber ball, flattened out, and when Squinty moved his nose up and down, or sideways, as he did when he smelled the nice sour milk the farmer was bringing for the pigs’ dinner, why, when Squinty did that with his nose, it just made you want to laugh right out loud.
But the funniest part of Squinty was his eyes, or, rather, one eye. And that eye squinted just as well as any eye ever squinted. Somehow or other, I don’t just know why exactly, or I would tell you, the lid of one of Squinty’s eyes was heavier than the other.
In fact, lots of boys and girls, when they came to look at Squinty in his pen, could not help laughing when he peered up at them, with one eye widely open, and the other half shut.
 “What is his name?”
“Oh, I guess we’ll call him Squinty,” the farmer said; and so Squinty was named.
Perhaps if his mother had had her way about it she would have given Squinty another name, as she did his brothers and sisters. In fact she did name all of them except Squinty.
One of the little pigs was named Wuff-Wuff, another Curly Tail, another Squealer, another Wee-Wee, and another Puff-Ball. There were seven pigs in all, and Squinty was the last one, so you see he came from quite a large family. When his mother had named six of her little pigs she came to Squinty.
“Let me see,” grunted Mrs. Pig in her own way, for you know animals have a language of their own which no one else can understand. “Let me see,” said Mrs. Pig, “what shall I call you?”
She was thinking of naming him Floppy, because the lid of one of his eyes sort of flopped down. But just then a lot of boys and girls came running out to the pig pen.
 And how funny he looks at you! What is his name?”
“Well, I guess we’ll call him Squinty,” the farmer had said. And so, just as I have told you, Squinty got his name.
“Humph! Squinty!” exclaimed Mrs. Pig, as she heard what the farmer said. “I don’t know as I like that.”
“Oh, it will do very well,” answered Mr. Pig. “It will save you thinking up a name for him.  Not that it amounts to anything, in fact it is rather stylish, I think. Let him be called Squinty.”
“All right,” answered Mrs. Pig. So Squinty it was.
 “Hello, Squinty!”
“Wuff! Wuff!” grunted Squinty.
That meant, in his language, “Hello!” you see. For though Squinty, and his mother and father, and brothers and sisters, could understand man talk, and boy and girl talk, they could not speak that language themselves, but had to talk in their own way.
Nearly all animals understand our talk, even though they can not speak to us. Just look at a dog, for instance. When you call to him: “Come here!” doesn’t he come? Of course he does. And when you say: “Lie down, sir!” doesn’t he lie down? that is if he is a good dog, and minds? He understands, anyhow.
And see how horses understand how to go when the driver says “Gid-dap!” and how they stop when he says “Whoa!” So you need not think it strange that a little pig could understand our kind of talk, though he could not speak it himself.
Well, Squinty, the comical pig, lived with his mother and father and brothers and sisters in the farmer’s pen for some time. As the days went on Squinty grew fatter and fatter, until his pink skin, under his white bristles, was swelled out like a balloon.
“Hum!” exclaimed the farmer one day, as he leaned over the top of the pen, to look down on the pigs, after he had poured their dinner into the trough. “Hum! That little pig, with the squinty eye, is getting pretty big. I thought he was going to be a little runt, but he seems to be growing as fast as the others.”
Squinty was glad when he heard that, for he wanted to grow up to be a fine, large pig.
The farmer took a corn cob, from which all the yellow kernels of corn had been shelled, and with it he scratched the back of Squinty. Pigs like to have their backs scratched, just as cats like to have you rub their smooth fur, or tickle them under the ears.
“Ugh! Ugh!” grunted Squinty, looking up at the farmer with his comical eyes, one half shut and the other wide open. “Ugh! Ugh!” And with his odd eyes, and one ear cocked forward, and the other flopping over backward, Squinty looked so funny that the farmer had to laugh out loud.
“What’s the matter, Rufus?” asked the farmer’s wife, who was gathering the eggs.
“Oh, it’s this pig,” laughed the farmer.
She, too, looked down into the pen.
“Oh, isn’t he comical!” she cried.

This is a green weed that grows in the garden, but it does no good there. Instead it does harm, and farmers like to pull it up to get rid of it. But, if pig weed is no good for the garden, it is good for pigs, and they like to chew the green leaves.
“Here, Squinty!” called the farmer’s wife, tossing some of the juicy, green weed to the little pig. “Eat this!”
“Ugh! Ugh!” grunted Squinty, and he began to chew the green leaves. I suppose that was his way of saying: “Thank you!”
As soon as Squinty’s brothers and sisters saw the green pig weed the farmer’s wife had tossed into the pen, up they rushed to the trough, grunting and squealing, to get some too.
They pushed and scrambled, and even stepped into the trough, so eager were they to get something to eat; even though they had been fed only a little while before.
That is one strange thing about pigs. They seem to be always hungry. And Squinty’s brothers and sisters were no different from other pigs.
But wait just a moment. They were a bit different, for they were much cleaner than many pigs I have seen. The farmer who owned them knew that pigs do not like to live in mud and dirt any more than do cows and horses, so this farmer had for his pigs a nice pen, with a dry board floor, and plenty of corn husks for their bed. They had clean water to drink, and a shady place in which to lie down and sleep.
Of course there was a mud bath in the pig pen, for, no matter how clean pigs are, once in a while they like to roll in the mud. And I’ll tell you the reason for that.
You see flies and mosquitoes and other pests like to bite pigs. The pigs know this, and they also know that if they roll in the mud, and get covered with it, the mud will make a coating over them to keep the biting flies away.
So that is why pigs like to roll in the mud once in awhile, just as you sometimes see a circus elephant scatter dust over his back, to drive away the flies. And even such a thick-skinned animal as a rhinoceros likes to plaster himself with mud to keep away the insects.
But after Squinty and his brothers and sisters had rolled in the mud, they were always glad when the farmer came with the garden hose and washed them clean again, so their pink skins showed beneath their white, hairy bristles.
Squinty and the other pigs grew until they were a nice size. They had nothing to do but eat and sleep, and of course that will make anyone grow.
Now Squinty, though he was not the largest of the family of pig children, was by far the smartest. He learned more quickly than did his brothers and sisters, how to run to the trough to eat, when his mother called him, and he learned how to stand up against one side of the pen and rub himself back and forth to scratch his side when a mosquito had bitten him in a place he could not reach with his foot.
In fact Squinty was a little too smart. He wanted to do many things his brothers and sisters never thought of. One day when Squinty and the others had eaten their dinner, Squinty told his brother Wuff-Wuff that he thought it would be a nice thing to have some fun.
Wuff-Wuff said he thought so, too, but he didn’t just know what to do. In fact there was not much one could do in a pig pen.
“If we could only get out of here!” grunted Squinty, as he looked out through a crack in the boards and saw the green garden, where pig weed was growing thickly.
“Yes, but we can’t,” said Wuff-Wuff.
Squinty was not so sure about this. In fact he was a very inquisitive little pig—that is, he always wanted to find out about things, and why this and that was so, and what made the wheels go around, and all like that.
“I think I can get out through that place,” said Squinty to himself, a little later. He had found another crack between two boards of the pen—a large crack, and one edge of the board was loose. Squinty began to push with his rubbery nose.
A pig’s nose is pretty strong, you know, for it is made for digging, or rooting in the earth, to turn up acorns, and other good things to eat.
Squinty pushed and pushed on the board until he had made it very loose. The crack was getting wider.
“Oh, I can surely get out!” he thought. He looked around; his mother and father and all the little pigs were asleep in the shady part of the pen.
“I’m going!” said Squinty to himself.
He gave one extra hard push, and there he was through the big crack, and outside the pen.  At first he was a little frightened, but when he looked over into the potato patch, and saw pig weed growing there he was happy.
“Oh, what a good meal I shall have!” grunted Squinty.

“Bow wow! Bow wow!  “Bow wow! Bow wow! Bow wow!” barked Don, and that meant, in his language: “Get back in your pen, Squinty! What do you mean by coming out? Get back! Bow wow!”
“Oh dear! Oh dear!” squealed Squinty. “I shall be bitten sure! That dog will bite me! Oh dear! Why didn’t I stay in the pen?”
Squinty turned on his little short legs, as quickly as he could, and started back for the pen. But it was not easy to run in a potato field, and Squinty, not having lived in the woods and fields as do some pigs, was not a very good runner.
“Bow wow! Bow wow!” barked Don, running after Squinty.
I do not believe Don really meant to hurt the comical little pig. In fact I know he did not, for Don was very kind-hearted. But Don knew that the pigs were supposed to stay in their pen, and not come out to root up the garden. So Don barked:
“Bow wow! Bow wow! Get back where you belong, Squinty.”
Squinty ran as fast as he could, but Don ran faster. Squinty caught his foot in a melon vine, and down he went. Before he could get up Don was close to him, and, the next moment Squinty felt his ear being taken between Don’s strong, white teeth.
“Oh dear! Oh dear!  “What is going to happen to me?”


Welcome to my little nook on the world wide web. Here you will find all sorts of information pertaining to who I am, why this website exists, and what I have to offer to the world. I will track significant learnings, update potential employers on what has gone on before, during, and after graduating Dev BootCamp, as well as showcase some of my most profound projects. Thanks for visiting, and feel free to browse around!


Nokia 7.2 ads popping up in Finland
by MarinWhen Nokia Mobile launched the latest Nokia devices, they mentioned that the design of Nokia 7.2 and 6.2 was a tribute to Nokia’s nordic roots. And Nokia Mobile nailed it with the design since the phone does bring simplified body lines and warmth at the same time raising from the past some forgotten shapes like Nokia Lumia 830 camera module. Anyway, the phone might have a nordic design, but without proper marketing, the people living in the Nordic countries, especially in Finland won’t be aware of its existence.
Nokia people just tipped us with photos of Nokia 7.2 being advertised on the streets of Finnish cities. It is nice to see this midrange phone being advertised, especially in Forest Green color which looks more interesting than Charcoal we got.
 I can’t remember when was the last time I saw a Nokia ad in Croatia, but we are a small market and probably not so interesting for Nokia Mobile. Do take a picture of a Nokia ad of any kind and post it in the comments. Let’s see it what shape and were Nokia Mobile is advertising its products.


About Clinic 36:
Clinic 36 is a private clinic for heroin or opioid dependent patients. We offer pharmacotherapy treatment and have been in operation since 1992. In October 2016, we merged with our sister clinic, Regent House. Our staff consists of a collection of doctors, pharmacists, nurses, pathologists, and administrators specialising in healthcare; all dedicated to provide the best possible treatment, assessment, and ongoing review of opioid dependent clients. Pharmacotherapy treatment(suboxone or methadone therapy), also known as opioid substitution therapy, is provided at Clinic 36 by skilled, caring, and highly professional staff, in a safe and comfortable environment. We are also commited to assisting people during their transition to alternative modes of treatment, for example; switching from methadone to suboxone, or vice versa.


---
layout: page
title: Resume
permalink: /post/
description: All You Need To Know
order: 5
---
Tyler Austin Thacker
Home address: 411 Chamonix Drive, Fredericksburg, Virginia
Current Address: VMI Box #1610, Virginia Military Institute, Lexington VA, 24450
(540) 379 - 8429
<EMAIL_ADDRESS>OBJECTIVE Academically adept Computer Science student at the Virginia Military Institute, has been on the Dean’s list
for every semester at VMI, and participates in many clubs, community service activities, and leadership opportunities.
EDUCATION Virginia Military Institute (VMI), Lexington, VA
Bachelor of Science, May 2019
Major in Computer and Information Sciences
GPA: 3.509 , Major GPA: 3.691
RELATED COURSEWORK
• Database admin
• Web application development
• Networking
• Java programming
• Computer security
WORK EXPERIENCE FBI Honors Intern, Summer 2018 – Fall 2018
Federal Bureau of Investigation,
• Passed extensive background check to be eligible for and obtain Top Secret Security clearance for the FBI
• Worked and interacted in a very team oriented work area with many highly skilled technical agents pertaining to ELSUR information/data
General labor/Repair specialist, Summer 2014 – Fall 2014
Professional Building maintenance, Stafford, VA
• Increased Leadership Skills by heading some work projects
• Learned Communication skills by communicating with customers and finding out their needs and conveying them to fellow employees
SKILLS Computer: Adapt in all MS Office applications, Java, MySQL, CSS, HTML, and R-Studio
COLLEGE ACTIVITIES Football (lineman), Fall 2015 – Spring 2017
Virginia Military Institute, Lexington, VA
• Learned how to balance military, academic, and sports life in strenuous environment
• Obtained skills on how to persevere and overcome odds
Cadet Investment Group, Fall 2017 – Fall 2018
• Learn and participate in investing over $300,000 in VMI’s savings in a variety of stocks


{% extends "base_generic.html" %} {% load staticfiles %} {% block title %}
Welcome to My Home Library, a very basic Django website developed as a tutorial example on the Mozilla Developer Network. On this site I have continued development after the tutorial to customize the site to be a reference point for my home library.
The library has the following record counts:
You have visited this page {{ num_visits }}{% if num_visits == 1 %} time{% else %} times{% endif %}. Thank you!


Home
About
Services
Clients
Contact
MyBusiness
Website
Call us today
Call 1-800-000-0000
This ismy company website
Dream.plan.create
Contact Us Today!
Register for our newsletter:
About us
Our vision
Services
I am a paragraph ...
I am a paragraph ...
I am a paragraph ...
Strategy
Corporate Development
Globalization
Operations Management
Corporate Finance
Home-About-Services
e 2015 by Mybusiness Website.


When uploading image to the server, you can either use binary or Base64.
- Binary data cannot be escaped in JSON. You can use Base64 in that case
- Base64 uses 8 bit format, thus size is %33 more than binary data. Use Base64 when you are sending your image as string in a json body for example.
- If you are sending the data directly, use binary data and use "image/jpeg" or "image/png" for mime type or your specific image type


Tap to Change Content
Tap to Change Content
Tap to Change Content
Content Square
Press and drag into content square
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|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object csic.iiia.ftl.base.core.FeatureTerm
public abstract class FeatureTerm
The Class FeatureTerm.
| Field Summary | |
|---|---|
static int |
SUBSUMPTION_CSP
The Constant SUBSUMPTION_CSP. |
static int |
SUBSUMPTION_META
The Constant SUBSUMPTION_META. |
static int |
SUBSUMPTION_NORMAL
The Constant SUBSUMPTION_NORMAL. |
static int |
SUBSUMPTON_METHOD
The SUBSUMPTO n_ method. |
| Constructor Summary | |
|---|---|
FeatureTerm()
|
| Method Summary | |
|---|---|
boolean |
checkDataType()
Check data type. |
FeatureTerm |
clone(FTKBase dm,
java.util.HashMap<FeatureTerm,FeatureTerm> correspondences)
Clone. |
FeatureTerm |
clone(FTKBase dm,
Ontology o)
Clone. |
FeatureTerm |
clone(FTKBase dm,
Ontology o,
java.util.HashMap<FeatureTerm,FeatureTerm> correspondences)
Clone. |
FeatureTerm |
clone(java.util.HashMap<FeatureTerm,FeatureTerm> correspondences)
Clone. |
FeatureTerm |
clone(Ontology o)
Clone. |
boolean |
consistencyCheck(FTKBase dm)
Consistency check. |
boolean |
equivalents(FeatureTerm f)
Equivalents. |
FeatureTerm |
featureValue(java.lang.String feature)
Feature value. |
FeatureTerm |
featureValue(Symbol feature)
Feature value. |
java.util.List<FeatureTerm> |
featureValues(java.lang.String feature)
Feature values. |
java.util.List<FeatureTerm> |
featureValues(Symbol feature)
Feature values. |
int |
getDataType()
Gets the data type. |
Symbol |
getName()
Gets the name. |
Sort |
getSort()
Gets the sort. |
abstract boolean |
hasValue()
Checks for value. |
boolean |
isConstant()
Checks if is constant. |
abstract boolean |
isLeaf()
Checks if is leaf. |
FeatureTerm |
readPath(Path path)
Read path. |
void |
setName(Symbol name)
Sets the name. |
void |
setSort(Sort s)
Sets the sort. |
void |
substitute(FeatureTerm f1,
FeatureTerm f2)
Substitute. |
boolean |
subsumes(FeatureTerm f)
Subsumes. |
java.lang.String |
toStringNOOS()
To string noos. |
java.lang.String |
toStringNOOS(FTKBase dm)
To string noos. |
java.lang.String |
toStringNOOS(FTKBase dm,
int tabs)
To string noos. |
java.lang.String |
toStringNOOS(int tabs)
To string noos. |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Field Detail |
|---|
public static final int SUBSUMPTION_NORMAL
public static final int SUBSUMPTION_CSP
public static final int SUBSUMPTION_META
public static int SUBSUMPTON_METHOD
| Constructor Detail |
|---|
public FeatureTerm()
| Method Detail |
|---|
public Sort getSort()
public void setSort(Sort s)
s
- the new sortpublic Symbol getName()
public void setName(Symbol name)
name
- the new namepublic int getDataType()
public boolean equivalents(FeatureTerm f) throws FeatureTermException
f
- the f
FeatureTermException
- the feature term exceptionpublic abstract boolean hasValue()
public abstract boolean isLeaf()
public boolean isConstant()
public java.util.List<FeatureTerm> featureValues(java.lang.String feature) throws FeatureTermException
feature
- the feature
FeatureTermException
- the feature term exceptionpublic java.util.List<FeatureTerm> featureValues(Symbol feature) throws FeatureTermException
feature
- the feature
FeatureTermException
- the feature term exceptionpublic FeatureTerm featureValue(java.lang.String feature) throws FeatureTermException
feature
- the feature
FeatureTermException
- the feature term exceptionpublic FeatureTerm featureValue(Symbol feature) throws FeatureTermException
feature
- the feature
FeatureTermException
- the feature term exceptionpublic FeatureTerm readPath(Path path) throws FeatureTermException
path
- the path
FeatureTermException
- the feature term exceptionpublic java.lang.String toStringNOOS()
public java.lang.String toStringNOOS(int tabs)
tabs
- the tabs
public java.lang.String toStringNOOS(FTKBase dm)
dm
- the dm
public java.lang.String toStringNOOS(FTKBase dm, int tabs)
dm
- the dmtabs
- the tabs
public FeatureTerm clone(Ontology o) throws FeatureTermException
o
- the o
FeatureTermException
- the feature term exceptionpublic FeatureTerm clone(FTKBase dm, Ontology o) throws FeatureTermException
dm
- the dmo
- the o
FeatureTermException
- the feature term exceptionpublic FeatureTerm clone(java.util.HashMap<FeatureTerm,FeatureTerm> correspondences) throws FeatureTermException
correspondences
- the correspondences
FeatureTermException
- the feature term exceptionpublic FeatureTerm clone(FTKBase dm, java.util.HashMap<FeatureTerm,FeatureTerm> correspondences) throws FeatureTermException
dm
- the dmcorrespondences
- the correspondences
FeatureTermException
- the feature term exceptionpublic FeatureTerm clone(FTKBase dm, Ontology o, java.util.HashMap<FeatureTerm,FeatureTerm> correspondences) throws FeatureTermException
dm
- the dmo
- the ocorrespondences
- the correspondences
FeatureTermException
- the feature term exceptionpublic void substitute(FeatureTerm f1, FeatureTerm f2)
f1
- the f1f2
- the f2public boolean subsumes(FeatureTerm f) throws FeatureTermException
f
- the f
FeatureTermException
- the feature term exceptionpublic boolean checkDataType()
public boolean consistencyCheck(FTKBase dm)
dm
- the dm
|
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


'Lonely' EuroMillions winner Adrian Bayford 'moves out of £10m mansion'
Lottery winner Adrian Bayford, who scooped £148million on a EuroMillion draw in 2012, said he had moved out of his house but is planning on moving to Scotland
by Chris Kitching, https://www.mirror.co.uk/authors/chris-kitching/EuroMillions winner Adrian Bayford has reportedly moved out of his £10million Suffolk mansion.
Former postie Mr Bayford, 49, scooped an incredible £148million in 2012, but his marriage broke down and his wife Gillian, 47, divorced him just 15 months later.
She said their eight-year marriage had broken down "irretrievably" and moved to Scotland with their two children.
Since then, Mr Bayford has remained in England and had a string of failed relationships with women, but friends claim he has now decided to quit his Suffolk estate for a four-bed detached home in Dundee.
They say he has moved north so he can see his children regularly.
Friends said his new home is within walking distance of his ex-wife - who married convicted fraudster Brian Deans - and the kids.
Claming Mr Bayford "hasn't been happy for a while", a source told the Sun: "He’s got all this money and he’s finally worked out what he wants to do with it all - be near his kids and their mum."
“He’s been through a string of break-ups there and people have taken advantage of him. The money made him lonely.
“It had reached the stage where he was just sat around watching sport and eating."
The source claims the £10million mansion, which Mr Bayford purchased with his ex-wife after their lottery win, was full of sad memories for him.
Removal vans were seen at the estate this week before Mr Bayford was driven to his new home by his parents, it was reported.
But Mr Bayford, who once ran a music store, insisted on Friday night that he was not moving to Scotland and instead planning to follow his dream of moving to Australia.
After Mr Bayford's marriage ended, he got engaged to stable girl Samantha Burbidge, then 27, after a six-week relationship.
But their relationship didn't last long and resulted in Ms Burbidge walking out in January 2017.
Mr Bayford, originally from Haverhill, Suffolk, was later reportedly dumped by waitress Lisa Kemp after she found messages to former flame Marta Jarosz.


Psalms 73:20
As a dream when one awaketh; so, O Lord, when thou awakest, thou shalt despise their image.


--- layout: page title: ENSC Specs Sheet comments: false modified: 2016-06-08 ---
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MARCUS
DALY CRITERIUM
Downtown,
Hamilton, Montana
Registration – 8-9:30 am
at Start / Finish Line on Main Street
Start-
Vets,Juniors, Women 9:30 (35
minutes plus two laps)
Mens 4,5 10:15 am (45
minutes plus two laps)
Men 1,2,3 11:15 (55
minutes plus two laps)
Entry Fee- $ 15 all classes (Juniors $ 5)
Course Description- Flat and Fast course with 6 corners
Prize Purse- $ 250
This
race is USCF Sanctioned and is a
Montana Bicycle Racing Association Road Series Event.


Let's talk product
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Back-End Web
You can write here details about one of your team members. You can give more details about what they do. Feel free to add some links for people to be able to follow them outside the site.
Jerome
Back-End Web
You can write here details about one of your team members. You can give more details about what they do. Feel free to add some links for people to be able to follow them outside the site.
Francis
Back-End Web
You can write here details about one of your team members. You can give more details about what they do. Feel free to add some links for people to be able to follow them outside the site.


Use this list of elements sorted by application to select the best elements for your analysis. Primary applications are as follows:
|
|
Within each element category, the elements appear in order of shape function (topology). Current-technology elements take precedence.
| Type | Dimension | Element | Pictorial |
| Structural Solid | 3-D | SOLID185 8-Node Structural Solid | |
| SOLID186 20-Node Structural Solid | |||
| SOLID187 10-Node Tetrahedral Structural Solid | |||
| SOLID285 4-Node Tetrahedral Structural Solid with Nodal Pressures | |||
| SOLID65 8-Node Reinforced Concrete Structural Solid | |||
| 2-D | PLANE182 4-Node Structural Solid | ||
| PLANE183 8-Node Structural Solid | |||
| PLANE25 4-Node Axisymmetric-Harmonic Structural Solid | |||
| PLANE83 8-Node Axisymmetric-Harmonic Structural Solid | |||
| General Axisymmetric | SOLID272 4- to 48-Node General Axisymmetric Solid | ||
| SOLID273 8- to 96-Node General Axisymmetric Solid | |||
| Structural Solid Shell | 3-D | SOLSH190 8-Node Structural Solid Shell | |
| Structural Shell | 3-D | SHELL181 4-Node Structural Shell | |
| SHELL281 8-Node Structural Shell | |||
| 2-D | SHELL208 2-Node Axisymmetric Shell | ||
| SHELL209 3-Node Axisymmetric Shell | |||
| SHELL61 2-Node Axisymmetric-Harmonic Structural Shell | |||
| Structural Layered Composite | 3-D | SOLID185 8-Node Layered Solid | |
| SOLID186 20-Node Layered Structural Solid | |||
| SOLSH190 8-Node Solid Shell | |||
| The following elements can also be used for layered applications: SHELL181, SHELL208, SHELL209, SHELL281, ELBOW290 | |||
| Structural Beam | 3-D | BEAM188 2-Node Structural Beam | |
| BEAM189 3-Node Structural Beam | |||
| Structural Pipe | 3-D | PIPE288 2-Node Pipe | |
| PIPE289 3-Node Pipe | |||
| ELBOW290 3-Node Elbow | |||
| Structural Line | 3-D | LINK180 2-Node Structural 3-D Spar (or Truss) | |
| LINK11 2-Node Structural Linear Actuator | |||
| Structural Point | 3-D | MASS21 1-Node Structural Mass | |
| Structural Interface | 3-D | INTER194 Interface 16-Node Gasket | |
| INTER195 Interface 8-Node Gasket | |||
| INTER204 Interface 16-Node Cohesive | |||
| INTER205 Interface 8-Node Cohesive | |||
| 2-D | INTER192 Interface 4-Node Gasket | ||
| INTER193 Interface 6-Node Gasket | |||
| INTER202 Interface 4-Node Cohesive | |||
| INTER203 Interface 6-Node Cohesive | |||
| Structural Multipoint Constraint | 3-D | MPC184 | |
| MPC184-Link/Beam | |||
| MPC184-Slider | |||
| MPC184-Revolute | |||
| MPC184-Universal | |||
| MPC184-Slot | |||
| MPC184-Point | |||
| MPC184Translational | |||
| MPC184Cylindrical | |||
| MPC184-Planar | |||
| MPC184-Weld | |||
| MPC184-Orient | |||
| MPC184-Spherical | |||
| MPC184-General | |||
| MPC184-Screw | |||
|
Explicit Dynamics (Explicit dynamics analyses can use only explicit dynamic elements.) | |||
| Type | Dimension | Element | Pictorial |
| Explicit Solid | 3-D | SOLID164 8-Node Explicit Structural Solid | |
| SOLID168 10-Node Explicit Tetrahedral Structural Solid | |||
| 2-D | PLANE162 4-Node Explicit Solid | ||
| Explicit Shell | 3-D | SHELL163 4-Node Explicit Thin Structural Shell | |
| Explicit Beam | 3-D | BEAM161 3-Node Explicit Beam | |
| Explicit Line | 3-D | LINK160 3-Node Explicit Spar (or Truss) | |
| LINK167 3-Node Explicit Tension-Only Spar | |||
| COMBI165 2-Node Explicit Spring-Damper | |||
| Explicit Point | 3-D | MASS166 1-Node Explicit Structural Mass | |
| Type | Dimension | Element | Pictorial |
| Thermal Solid | 3-D | SOLID278 8-Node Thermal Solid | |
| SOLID279 20-Node Thermal Solid | |||
| SOLID70 8-Node Thermal Solid | |||
| SOLID87 10-Node Tetrahedral Thermal Solid | |||
| SOLID90 20-Node Thermal Solid | |||
| 2-D | PLANE35 6-Node Triangular Thermal Solid | ||
| PLANE55 4-Node Thermal Solid | |||
| PLANE75 4-Node Axisymmetric-Harmonic Thermal Solid | |||
| PLANE77 8-Node Thermal Solid | |||
| PLANE78 4-Node Axisymmetric-Harmonic Thermal Solid | |||
| Thermal Layered Solid | 3-D | SOLID278 8-Node Thermal Solid | |
| SOLID279 20-Node Thermal Solid | |||
| Thermal Shell | 3-D | SHELL131 4-Node Thermal Shell | |
| SHELL132 8-Node Thermal Shell | |||
| Thermal Line | 3-D | LINK31 2-Node Radiation Link | |
| LINK33 2-Node Thermal Conduction Bar | |||
| LINK34 2-Node Convection Link | |||
| Thermal Point | 3-D | MASS71 1-Node Thermal Mass | |
| Thermal Electric | 3-D | LINK68 2-Node Coupled Thermal-Electric Line | |
| SHELL157 4-Node Thermal-Electric Shell | |||
| Type | Dimension | Element | Pictorial |
| Acoustic Volume | 3-D | FLUID30 8-Node Acoustic Fluid | |
| FLUID220 20-Node Acoustic Fluid | |||
| FLUID221 10-Node Acoustic Fluid | |||
| 2-D | FLUID29 4-Node Acoustic Fluid | ||
| Acoustic Planar | 3-D | FLUID130 4-Node Infinite Acoustic | |
| Acoustic Line | 2-D | FLUID129 2-Node Infinite Acoustic | |
| Type | Dimension | Element | Pictorial |
| Diffusion Solid | 2-D | PLANE238 8-Node Diffusion Solid | |
| 3-D | SOLID239 20-Node Diffusion Solid | ||
|
SOLID240
10-Node Tetrahedral Diffusion Solid | |||
| Type | Dimension | Element | Pictorial |
| Fluid Volume | 3-D | HSFLD242 9-Node Hydrostatic Fluid | |
| 2-D | HSFLD241 4-Node Hydrostatic Fluid | ||
| Fluid - Gap | 3-D | FLUID38 2-Node Dynamic Fluid Coupling | |
| FLUID136 4- or 8-Node Squeeze Film Fluid | |||
| FLUID138 2-Node Viscous Fluid Link | |||
| FLUID139 2- or 32-Node Slide Film Fluid | |||
| Fluid Pipe | 3-D | FLUID116 2-Node Coupled Thermal-Fluid Pipe | |
| Type | Dimension | Element | Pictorial |
| --- | 3-D | SOLID96 8-Node Magnetic Scalar Solid | |
| SOLID122 20-Node Electrostatic Solid | |||
| SOLID123 10-Node Tetrahedral Electrostatic Solid | |||
| SOLID231 20-Node Electric Solid | |||
| SOLID232 10-Node Tetrahedral Electric Solid | |||
| SOLID236 20-Node Electromagnetic Solid | |||
| SOLID237 10-Node Electromagnetic Solid | |||
| 2-D | PLANE121 8-Node Electrostatic Solid | ||
| PLANE230 8-Node Electric Solid | |||
| PLANE233 8-Node Electromagnetic Solid | |||
| Type | Dimension | Element | Pictorial |
| --- | 3-D | SOURC36 3-Node Magnetic Electric Current Source | |
| CIRCU124 2- to 6-Node Electric Circuit | |||
| CIRCU125 2-Node Magnetic Electric Diode | |||
| 2-D | CIRCU94 2- or 3-Node Coupled-Field Piezoelectric Circuit | ||
| Type | Dimension | Element | Pictorial |
| --- | 3-D | SOLID226 20-Node Coupled-Field Solid | |
| SOLID227 10-Node Coupled-Field Solid | |||
| SOLID5 8-Node Coupled-Field Solid | |||
| LINK68 2-Node-Coupled Thermal-Electric Line | |||
| SOLID98 10-Node Tetrahedral Coupled-Field Solid | |||
| ROM144 20- or 30-Node Reduced-Order Electrostatic-Structural Coupled-Field | |||
| SHELL157 4-Node Thermal-Electric Shell | |||
| TRANS126 2-Node Electromechanical Transducer | |||
| CPT215 8-Node Coupled Pore-Pressure-Thermal Mechanical Solid | |||
| CPT216 20-Node Coupled Pore-Pressure-Thermal Mechanical Solid | |||
| CPT217 10-Node Coupled Pore-Pressure-Thermal Mechanical Solid | |||
| 2-D | PLANE222 4-Node Coupled-Field Solid | ||
| PLANE223 8-Node Coupled-Field Solid | |||
| PLANE13 4-Node Coupled-Field Solid | |||
| CPT212 4-Node Coupled Pore-Pressure-Thermal Mechanical Solid | |||
| CPT213 8-Node Coupled Pore-Pressure-Thermal Mechanical Solid | |||
| Type | Dimension | Element | Pictorial |
| --- | 3-D | TARGE170 8-Node Contact 3-D Target Segment | |
| CONTA173 4-Node Surface-to-Surface Contact | |||
| CONTA174 8-Node Surface-to-Surface Contact | |||
| CONTA176 3-Node Line-to-Line Contact | |||
| CONTA177 3-Node Line-to-Surface Contact | |||
| CONTA178 2-Node Node-to-Node Contact | |||
| 2-D/3-D | CONTA175 1-Node Node-to-Surface Contact | ||
| 2-D | TARGE169 3-Node Contact 2-D Target Segment | ||
| CONTA171 2-Node Surface-to-Surface Contact | |||
| CONTA172 3-Node Surface-to-Surface Contact | |||
| Type | Dimension | Element | Pictorial |
| --- | 3-D | COMBIN14 2-Node Combination Spring-Damper | |
| COMBIN37 4-Node Combination Control | |||
| COMBIN39 2-Node Combination Nonlinear Spring | |||
| COMBIN40 2-Node Combination | |||
| 2-D/3-D | PRETS179 3-Node Pretension Combination | ||
| 2-D | COMBI214 2-Node Combination Spring-Damper Bearing | ||
| Type | Dimension | Element | Pictorial |
| --- | 3-D | MATRIX27 2-Node Stiffness, Damping, or Mass Matrix | |
| 2-D/3-D | MATRIX50 Superelement (or Substructure) | ||
| Type | Dimension | Element | Pictorial |
| --- | 3-D | INFIN47 4-Node Infinite Boundary | |
| INFIN111 8- or 20-Node Infinite Solid | |||
| 2-D | INFIN110 4- or 8-Node Infinite Solid | ||
| 2-D / 3-D | INFIN257 4- or 8-node (2-D) or 8- or 20-node (3-D) Structural Infinite Solid | (2-D) or (3-D) | |
| Type | Dimension | Element | Pictorial |
| --- | 3-D | SURF152 4- to 10-Node Thermal Surface Effect | |
| SURF154 4- to 8-Node Structural Surface Effect | |||
| SURF155 2- to 4-Node Thermal Surface Effect | |||
| SURF156 3- or 4-Node Structural Surface Line Load | |||
| SURF159 2- to 36-Node General Axisymmetric Surface | |||
| FOLLW201 1-Node Follower Load | |||
| SURF252 3- or 4-Node Thermal Radiosity Surface | |||
| 2-D | SURF151 2- or 4-Node Thermal Surface Effect | ||
| SURF153 2- or 3-Node Structural Surface Effect | |||
| SURF251 2-Node Radiosity Surface | |||
| Type | Dimension | Element | Pictorial |
| --- | 2-D/3-D | MESH200 2- to 20-Node Meshing Facet | |
| Type | Dimension | Element | Pictorial |
| --- | 3-D | REINF264 2- to 20-Node Discrete Reinforcing | |
| REINF265 2- to 20-Node Smeared Reinforcing | |||
| 2-D | REINF263 2- to 8-Node Smeared Reinforcing | ||
| Type | Dimension | Element | Pictorial |
| --- | --- | USER300 | --- |


Americano
Ratio: 1 shot of espresso + 3 oz. of hot water
Cup: 5-6 oz. Glass Coffee Mug
Americanos are popular breakfast drinks and thought to have originated during World War II. Soldiers would add water to their coffee to extend their rations farther. The water dilutes the espresso while still maintaining a high level of caffeine.


--- layout: page title: Upload Zip description: Upload Zip page permalink: /upload/ image: img/equipment/equipment-computer.jpg scripts: - vue.min.js - vue-router.js - vuex.js - dropzone.min.js - pages/upload.js styles: - dropzone.min.css - modal.css ---


CRViz
Packet Cafe
Explainable AI
class Upload(object):
def on_post(self, req, resp):
# Retrieve input_file
input_file = req.get_param('file')
# Test if the file was uploaded
if input_file.filename:
# Retrieve filename
filename = input_file.filename
# Define file_path
file_path = os.path.join(self._storage_path, filename)
# Write to a temporary file to prevent incomplete files from being used
temp_file_path = file_path + '~'
open(temp_file_path, 'wb').write(input_file.file.read())
# know the file has been saved to disk, move it into place.
os.rename(temp_file_path, file_path)
else:
print("Error")
resp.status = falcon.HTTP_201
*initial commits
Parts of the machine mearning model lifecycle, where bias can be introduced
How we review data
How we build our models
How we integrate our models into a practice
Data Scientists (MLOps)
“Ethicists:” policy-makers, lawyers, judges
End-Users
Hard to make models that are transparent and "fairness-aware" and usable
Tools used to demonstrate (un)fairness are the same tools used for debugging models
IBM's AI Fairness, Amazon's Neo-AI, Microsoft Interpretable ML etc
Dr.Why.AI, Yellowbrick, ELI5
Find gaps for new products in the XAI space
For end-users, ethicists to understand bias and (un)fairness?
For data Scientists to speed up data cleaning but be fairness aware?
And re-evaluation, revisioning, and updating models
Continuous Integration: Codacy,Travis,Code Coverage, Github Issues, Pull Requests
React, Redux, d3
From Mockups -> code
Human-AI Interaction
Computational Human-Computer Interaction


Project:
Timestamp
Header Parser
URL Shortener
Exercise Tracker
File Metadata
URL:
Run Tests
Test Results
Test(s) Failed
Tests Passing
Tests Executing
Get Help


To get the current US Equity Options data, index the OptionChains property of the current Slice with the canonical Equity Option Symbol. Slice objects deliver unique events to your algorithm as they happen, but the Slice may not contain data for your Index Option at every time step. To avoid issues, call the get method.
def OnData(self, slice: Slice) -> None: chain = slice.OptionChains.get(self.option_symbol) if chain: for contract in chain: self.Log(f"{contract.Symbol} price at {slice.Time}: {contract.LastPrice}")
public override void OnData(Slice slice) { if (slice.OptionChains.ContainsKey(_optionSymbol)) { var chain = slice.OptionChains[_optionSymbol]; foreach (var contract in chain) { Log($"{contract.Symbol} price at {slice.Time}: {contract.LastPrice}"); } } }
You can also iterate through all of the OptionChain objects in the current Slice.
def OnData(self, slice: Slice) -> None: for canonical_symbol, chain in slice.OptionChains.items(): for contract in chain: self.Log(f"{contract.Symbol} price at {slice.Time}: {contract.LastPrice}")
public override void OnData(Slice slice) { foreach (var kvp in slice.OptionChains) { var canonicalSymbol = kvp.Key; var chain = kvp.Value; foreach (var contract in chain) { Log($"{contract.Symbol} price at {slice.Time}: {contract.LastPrice}"); } } }
For more information about accessing US Equity Options data, see Handling Data.


… the goatee-rules.
class Compiler and namespace GoateeRules
Constructor
Parameters:
Method parse
Parameters:
Returns an Expression
Method evaluate
Parameters:
code can be an Array, a String, or an Object.
(, a String, opcode-Array or Object with toString method)
context must be an Object.
((optional))
variables must be an Object.
((optional))
scope must be an Array.
((optional))
stack must be an Array.
((optional))
Returns a mixed
Method ast
Parameters:
code can be an Array, a String, or an Object.
(, a String, opcode-Array or Object with toString method)
callback must be a Function.
((optional))
compress is optional, must be a Boolean, and has a default value of true.
Returns an Array
Method stringyfy
Parameters:
code can be an Array, a String, or an Object.
(, a String, opcode-Array or Object with toString method)
callback must be a Function.
((optional))
compress is optional, must be a Boolean, and has a default value of true.
Returns a String
Method load
Parameters:
data can be a String or an Array.
(opcode-String or -Array)
compress is optional, must be a Boolean, and has a default value of true.
Returns a String
External dependencies.


Verify if file exists in workspace Checks if the given file (as relative path to current directory) exists. Returns true | false).
true | false


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4-6
Dietary
Homemade stuffing is easy to make from everyday ingredients and makes Christmas dinner that much more special.
Peel the onions, put them into boiling water, let them simmer for 5 minutes or rather longer, and just before they are taken out, put in the sage-leaves for a minute or two to take off their rawness.
Chop both these very fine, add the bread, seasoning and butter, and work the whole lot together with the yolk of an egg, when the stuffing will be ready for use.
It should be rather highly seasoned, and the sage-leaves should be very finely chopped.
Many cooks do not parboil the onions in the manner just stated, but merely use them raw. The stuffing then, however is not nearly so mild, and to many tastes, its strong flavour would be very objectionable.
When made for goose, a portion of the liver of the bird, simmered for a few minutes and very finely minced, is frequently added to this stuffing; and where economy is studied, the egg and butter may be dispensed with.


Countries I had visit
- Lebanon
- Turkey
- Oman
- Syria
- Kuwait
- Qatar
My name is Raya Lobany , I am 27 years old . a computer engineer , I graduated from Jordan University of Science and Technology. I worked as a TA in an education center in Qatar for two years , and now I am on this schoolership to reach my goals
Countries I had visit


--- layout: default robots: all permalink : /authors title: Our Contibutors summary: Our tought is driven by our Contributors. We love great content, and always strive to provide the best possible content to our visitors. ---


I am a current first year at Columbia University in the City of New York (in Columbia College)
I am planning to major in Economics and concentrate in Computer Science.
I am a member of Columbia's Undergraduate Recruitment Committee.
I am open to working on a variety of projects and applications.
My interests include:
Feel free to email me at wke2102@columbia.edu


THIS WEEK’S DISCOVERY:
The Rash Guard
Maybe it was last summer’s Ditch Plains day trips or the recent rewatching of Blue Crush, but we’re becoming kind of obsessed with all things surfing (disclaimer: whether or not we can actually stand up on a board), which is why we’re so stoked about our new collection of rash guards that were designed with both the avid surfer and the total beach bum in mind. “I’m more of a hang-out-on-my-towel kind of girl, but my siblings all surf and paddleboard up in New Hampshire and Maine, where it’s freezing even in summer, so I created something we could all wear,” says our swim designer, Amy.  Plus, our rash guards all have UPF 50 sun protection, earning them a recommendation from the Skin Cancer Foundation. Pretty tubular, no?
SHOP ALL RASH GUARDS >
*Previous purchases are not eligible for this discount. Offer valid in the U.S. and Canada only. Free shipping offer is valid through Sunday, February 3, 2013, 11:59pm ET on Internet orders shipped via regular shipping (3 to 6 business days). Free shipping applies to online-only orders before shipping, handling and taxes are added. Free ground shipping is applied at checkout with promo code FREESHIP. Offer not valid on telephone orders. This offer cannot be combined with any other promotion.
Please add<EMAIL_ADDRESS>to your address book to ensure our emails reach your inbox. If you received this email from a friend and would like to subscribe to our email list, please go to the following web address -<EMAIL_ADDRESS>To unsubscribe from the email list, please go to the following web address -<EMAIL_ADDRESS>J.Crew Customer Relations | One Ivy Crescent | Lynchburg, VA 24513-1001


George Washington Carver called education “the key to unlock the golden door of freedom.” The data backs that up: People with bachelor’s degrees or higher make nearly twice as much money as people whose educational journeys end after high school.
But not every student has the same educational experience. Schools can be significantly different just a few miles apart, and that can be the difference between students achieving happy and successful lives or becoming part of the “school-to-prison pipeline.”
We explored the differences in Maryland's two most populous counties – Prince George's, which has the most underfunded school system in the state according to data from Advocates for Children and Youth, and Montgomery, which is better funded but still faces its share of issues – to answer some big questions.
How do Maryland’s educational approaches, especially disciplinary policies, differ by county? And how can those disparities—examined through the lenses of race, income and wealth—affect Maryland students not just when they’re in high school, but for the rest of their lives?
Disciplinary policy plays an extremely important role in a student’s public school experience. The wording of these policies can determine the harshness and extent of a punishment. Depending on the school district a student lives in, they may be subject to very different disciplinary action. Some students may be more vulnerable to discipline depending on how vague policies are interpreted by administrators.
Current Maryland law gives broad powers regarding disciplinary practices to the Maryland State Board of Education as well as to local school districts. The law permits principals to suspend students “for cause, for not more than 10 school days.” It prohibits some disciplinary practices, including suspension or expulsion for attendance-related offenses, and corporal punishment. Overall, Maryland public school’s broad discretion over disciplinary action causes administrators to be heavily reliant on in-school suspensions as a main form of punishment.
Maryland public school discipline and arrest data shows that administrators rely too often on “zero tolerance” exclusionary discipline, such as suspensions.
The Maryland Commission on the School-to-Prison Pipeline and Restorative Practices spent 18 months researching disciplinary policy and effective solutions to prevent discriminatory practices on students, finding that exclusionary discipline has a discriminatory impact on students of color and students with disabilities.
According to the Department of Education's Office of Civil Rights, black students from kindergarten through 12th grade were 3.8 times as likely nationwide to receive out-of-school suspensions as white students. Students with disabilities were also twice as likely to be suspended as other students. Additionally, a report from the Maryland State Department of Education found that 8.1% of African American students and 10.1% of students with disabilities received an out-of-school suspension or expulsion, compared to 2.3% of white students and 3.6% of students without disabilities.
Such practices widen the achievement gap (educational performance disparities between students, most notably defined by differences in socioeconomic status, race/ethnicity and gender). Prince George’s County has some of the highest suspension totals in the state, and posted a 78.5% adjusted four-year graduation rate for the 2017-18 class – the second lowest rate in the state, and down more than four percentage points from the previous year.
“Zero tolerance” discipline policies don't just lead to disparities of educational success between minority students and their white counterparts, though. According to the Maryland Commission on the School-to-Prison Pipeline and Restorative Practices, biased disciplinary decisions by teachers and administrators, increased police presence in schools, the criminalization of trivial infractions and other factors contribute to young people being incarcerated right out of school- the “school-to-prison pipeline.”
Restorative discipline has become a popular tactic used to replace harsh zero tolerance discipline of students. The commission defines restorative disciplinary approaches as “combining a relationship-focused mindset and distinctive tools that create a school climate and culture that is inherently just, racially equitable, and conducive to learning for all students.”
Restorative approaches that schools could use as alternatives to suspension may look like implementing productive responses to conflict that focus on creating connections between members of the school community or promoting trauma-responsive and physically and emotionally safe school environments for students, staff and families.
In order for restorative disciplinary practices to work, local school districts must provide implicit bias training, restorative approach training and cultural competence education to all individuals who work with children. According to the commission, more funding and ongoing research of student outcomes and evaluation of restorative approaches is necessary for restorative discipline philosophy to be effective.
Montgomery County recently received a $1.2 million grant from the National Institute of Justice to incorporate restorative practices throughout the district and measure the results of their program.
The county plans to roll out its restorative justice program in all schools, hiring a Director of Restorative Justice and two instructional specialists to develop training and implementation plans for schools. Although the program is promising, the county worries that these positions will disappear when the grant funding expires.
Prince George’s County Public Schools began using restorative practices in 2017. The Department of Special Education was awarded a grant to create a program that offers research- based intervention to reduce the disproportionality of suspensions among the special education population at 32 schools with high suspension rates. Prince George’s county currently has six schools participating in whole-school restorative practices.
As of December 2018, schools were in the early stages of implementation, but so far the available data looks promising. Suspension rates have dropped in schools using restorative practices, and teachers have reported a positive change in their classroom environments due to community-building circles. The data is limited, though, and must be expanded in order to see the full effect of the program.


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A previously recorded error for this PendingTask has been marked as resolved.
taskId - The taskId of the PendingTask that the error has been resolved for.
taskId


Chapter 1: Computational Thinking
by
Me
Computational thinking is a problem solving approach that borrows techniques from computer science, notably abstraction, problem decomposition and the development of algorithms.
- Computational thinking can be applied to a wide variety of problems and not just the development of computer systems.
- The four cornerstones of Computational Thinking:
- Decomposition is where a complex problem is broken down into smaller parts which makes it a lot more manageable. These smaller parts are easier to work and solve.
- Pattern Recognition is a technique that looks at similarities between and within smaller problems usually problems that have been decomposed. It works by looking at several problems and then finding a pattern between them this pattern allows the next problem to be predicted.
- Abstraction is a technique which involves focusing on the needed information disregarding the irrelevant detail. The irrelevant, complex detail is suppressed below the needed information’s level. Abstraction allows a person to interact with an interface and not be surrounded with unnecessary items.
- Algorithms are a series of step-by-step calculations that are needed to solve a problem.
- Decomposition is the breaking down of a problem into smaller parts that are easier to solve.
- These smaller parts can be solved recursively. Solving something recursively is where you run it again and again until that part of the problem is solved.
- There are different ways to use decomposition:
- Top down design is an approach that led to the widespread use of modular programming. Modular programming is where the program functionality is separated into independent modules which contains everything that is needed to execute that aspect of functionality. The top-down design gets an overall design of a program and splits a sub-problem into smaller components like a hierarchical tree-like structure. A disadvantage of this approach is that it assumes that you know whole solution to the problem in advance.
- Using alternative pathways is another approach, where parallel processes are demonstrated with the use of alternate pathways.
- Data flow diagram could be used to show how data is passed in a system. This is useful to show how the major components and activities are set out in a system before going into detail of the algorithm development.
- There are different ways to apply decomposition in computing scenarios. For example we can break a problem:
- Into different functional components which lead to modules or program procedures.
- Into processes, data stores and data flows.
- Structured programming is a programming paradigm (way of programming) where functions/procedures are designed to carry out a limited set of jobs - this improves clarity, readability and development time of a computer program.
- Structured programming came about after Edsgar Dijkstra (creator of the Dijkstra's algorithm) opposed how the early programs had no rules on how to lay them out, in particular Dijkstra opposed the GOTO statement (this statement transfers control unconditionally to some other point in a program) because he thought that it made program’s harder to read and maintain.
- Structured programming became popular because of the discovery of how any computable function can be carried out by using only three types of programming constructs:
- Sequence is where you execute one statement/subprogram after another.
- Selection is where you branch of to a different place in a program according to the value of the boolean expression.
- Iteration is where you repeat a section of code until a boolean expression is true.
- Structured programming uses decomposition because it breaks a process down into well- defined steps.
- Object oriented programming is a programming paradigm that is based around objects.
- It breaks down problems amd functionality at the same time because an object, which is based on a class (template that contains attributes/data) and methods (code for that specific object), can be isolated from others - which decreases the amount of errors due to interference and allows you to reuse the object for similar problems.
- Algorithms are a series of step-by-step calculations that are needed to solve a problem. You use algorithms by getting value(s) as the input and then apply the algorithm to it to get an output value(s). Algorithms need data to work.
- Algorithms needs to be created using decomposition to break the problem into smaller parts which will help to plan out the solution/algorithm which will help to create the program.
- Designers need to understand these “RULES” to produce an efficient working algorithm:
- Algorithms must describe what they are meant to do otherwise it could lead to errors due to vagueness. This is because computers don’t understand vagueness.
- Algorithms must end because if it doesn’t finish you don’t get a result which is why you need to remember to put an end condition in a recursive algorithm.
- Algorithms must be correct because if it isn’t the end result won’t be correct.
- Algorithms must work with any instance of the same problem so that the computer can work with similar data sets which would make the process quicker.
- After an algorithm has been created a programmer should be able to translate the algorithm into code.


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Structure for MCAN Tx Buffer element. More...
#include <mcan.h>
Data Fields | |
| uint32_t | id |
| uint32_t | rtr |
| uint32_t | xtd |
| uint32_t | esi |
| uint32_t | dlc |
| uint32_t | brs |
| uint32_t | fdf |
| uint32_t | efc |
| uint32_t | mm |
| uint8_t | data [MCAN_MAX_PAYLOAD_BYTES] |
Structure for MCAN Tx Buffer element.
| uint32_t MCAN_TxBufElement::brs |
Bit Rat Switching 0 = CAN FD frames transmitted without bit rate switching 1 = CAN FD frames transmitted with bit rate switching
| uint8_t MCAN_TxBufElement::data[MCAN_MAX_PAYLOAD_BYTES] |
Data bytes. Only first dlc number of bytes are valid.
| uint32_t MCAN_TxBufElement::dlc |
Data Length Code 0-8 = CAN + CAN FD: transmit frame has 0-8 data bytes 9-15 = CAN: transmit frame has 8 data bytes 9-15 = CAN FD: transmit frame has 12/16/20/24/32/48/64 data bytes
| uint32_t MCAN_TxBufElement::efc |
Event FIFO Control 0 = Don’t store Tx events 1 = Store Tx events
| uint32_t MCAN_TxBufElement::esi |
Error State Indicator 0 = ESI bit in CAN FD format depends only on error passive flag 1 = ESI bit in CAN FD format transmitted recessive
| uint32_t MCAN_TxBufElement::fdf |
FD Format 0 = Frame transmitted in Classic CAN format 1 = Frame transmitted in CAN FD format
| uint32_t MCAN_TxBufElement::id |
Identifier
| uint32_t MCAN_TxBufElement::mm |
Message Marker
| uint32_t MCAN_TxBufElement::rtr |
Remote Transmission Request 0 = Transmit data frame 1 = Transmit remote frame
| uint32_t MCAN_TxBufElement::xtd |
Extended Identifier 0 = 11-bit standard identifier 1 = 29-bit extended identifier


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Madison Bumgarner receives qualifying offer from Giants
SAN FRANCISCO (AP) - Madison Bumgarner has received a $17.8 million qualifying offer from the San Francisco Giants, a move that likely will decrease demand for him in the free-agent market.
San Francisco’s decision Monday means a team signing Bumgarner would lose at least one pick in next year’s amateur draft as compensation unless a deal is struck after the draft starts in June. Compensation caused pitchers Dallas Keuchel and Craig Kimbrel to wait until after the draft to sign 2019 contracts.
San Francisco also made a qualifying offer to left-handed reliever Will Smith, who went 6-0 with a 2.76 ERA and 34 saves in 63 appearances.
Bumgarner, the 2014 World Series MVP, all but said his goodbye to San Francisco on the season’s final day.
He didn’t pitch Sept. 29 as originally planned in a 9-0 loss to the Dodgers on the last day of the regular season and manager Bruce Bochy’s final game leading into retirement but drew a rousing standing ovation before lining out as a pinch-hitter with two outs in the fifth against Clayton Kershaw.
San Francisco’s big lefty tipped and waved his batting helmet in every direction to acknowledge the fans in what might have been his last hurrah a Giants uniform. He went 9-9 with a 3.90 ERA over 34 starts this year after two injury-shortened seasons.
Bumgarner, 30, wrapped up a $35.56 million, six-year contract singed in April 2012 that included $12 million club options for both 2018 and ‘19. The Giants opted not to deal him at the trade deadline.
San Francisco still is searching for its next manager.
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java.lang.Object Enemy EnemyTower
public class EnemyTower
Essentially Towers for the enemy that release enemies
| Constructor Summary | |
|---|---|
EnemyTower(Coordinate c,
int maxHealth,
int radius,
World w)
Makes a new enemy tower |
|
EnemyTower(Coordinate c,
int maxHealth,
int radius,
World w,
double timeAppear)
Makes a new enemy tower |
| Method Summary | |
|---|---|
void |
act()
Has the tower release enemies over time |
int |
damagePerTurn()
Useless as EnemyTowers do not directly attack, just to override |
void |
paintComponent(java.awt.Graphics g)
Draws this tower |
| Methods inherited from class |
|---|
attack, die, drawHealthBar, getCoordinate, getCurrentHealth, getHeight, getRadius, getWorld, move, move, removed, removeSelf, setAngle, takeDamage, timeAppear, triangle |
| Methods inherited from class |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public EnemyTower(Coordinate c, int maxHealth, int radius, World w)
public EnemyTower(Coordinate c, int maxHealth, int radius, World w, double timeAppear)
| Method Detail |
|---|
public void act()
act
in class Enemy
public int damagePerTurn()
damagePerTurn
in class Enemy
public void paintComponent(java.awt.Graphics g)
paintComponent
in class Enemy


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| Interface Summary | |
|---|---|
| Matchable | Something that can be part of a match expression in a where clause |
| Selectable | Something that can be returned from a select query |
| ValueSet | Something that can contain other values and be the on the RHS of an IN operator |
| Class Summary | |
|---|---|
| Column | |
| Criteria | |
| FunctionCall | |
| Literal | A literal value, such as a number, string or boolean. |
| LiteralValueSet | |
| Order | ORDER BY clause. |
| Parameter | |
| Projection | What can be selected from a table. |
| SelectQuery | |
| Table | |
| WildCardColumn | Special column to represent For SELECT * FROM ... |
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