We will call you within the next 4 weeks to confirm some of the details you’ve given us before we process your application.
What happens next
Send the original or a certified copy of 1 of the following documents:
- birth certificate
- certificate of registration of birth
- adoption order
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- identity card
I do not have any of these
You can send the original or a copy of 2 of the following documents:
Certified copies must be dated and signed by 1 of the following people confirming that it's a true copy of the original:
- bank official (authorised to sign documents)
- government official (authorised to sign documents)
- doctor or surgeon (registered in the country you are applying from)
- solicitor or barrister (authorised to practice in the country you are applying from)
- civil servant
- minister of religion
- chartered accountant
Include your National Insurance number and send your document to:
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- address (including visits to the UK)
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Telephone: +44 (0)<PHONE_NUMBER> Textphone: +44 (0)<PHONE_NUMBER> Monday to Friday 8am to 6pm UK time Closed UK public holidays
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(Health Europa,2020)
Team name 5005
Team Coordinator/Leader Azmeel Sahib
| Choose Technology/Topic | Name |
|---|---|
| Topic-name | The effects of Artificial Intelligence using robotics in Surgical Health Care |
| Topic Description | Description and why is it important |
|---|---|
| Topic Description | At the age of COVID-19 where it has caused us to distant from each other, it is a threat to surgeons. Surgical surgery is one of the main foundation of any healthcare system with both elective and emergency operations contributing to the health services of the population. Operatin rooms are potentially high-risks areas for transmission due to the involvement of multiple teams, and high-risk activties. |
| Confirmed Team Member Details | Last name | First name | Student Id |
|---|---|---|---|
| Team member 1 | Sahib | Azmeel | 19076196 |
| Team member 2 | Loomb | Jackson | 20119160 |
| Team member 3 | Sangalang | John | 18017056 |
| Team members | Roles/Activity Name | Roles/Activity Name | Roles/Activity Name | Roles/Activity Name |
|---|---|---|---|---|
| Azmeel Sahib | Risks: the negative implications AI(Robotics) aspect may cause in surgical health care. | Leader: Keeping track of group progress. | Web development(CSS): implementing features such as layout,colour and fonts. | Referencing: Creating the reference sheet for our collective research in APA 7th format. |
| John Sangalang | Opportunities: Researching how AI Robotics could essentially benefit the surgical health care in the workforce. | Reflective log: Taking team meeting minutes, to keep track of our current task and progress | web development (js): Linking javascript to HTML to implement features such as animation | reference checker: Ensure that references are valid (APA 7th referencing) |
| Jackson Loomb | Researching choices of AI(robotics) within surgical health care | Reference checker: ensuring quality sources of information as well as APA 7th | Web development: Implementing the HTML code to format all of the group members research onto the website | Handling documents for website |
| Portfolio Elements | Portfolio | Communication Plan | Artefact Management Plan | Meeting minutes |
|---|---|---|---|---|
| Repository | Yes | Yes | Yes | Yes |


ME MYSELF I A film review by Steve Rhodes Copyright 2000 Steve Rhodes RATING (0 TO ****): ***
What if you had married your Mr. (or Ms.) Right? What would your life be like now? Would it be a dream or a nightmare?
In writer/director Pip Karmel's ME MYSELF I, Pamela Drury gets to find out. The searching and uncertain Pam is played in a sympathetic performance by Academy Award nominee Rachel Griffiths (Hilary from HILARY AND JACKIE).
When we meet Pam, she's an award-winning investigative reporter for Focus Point magazine. An unhappy workaholic, she writes article on topics like suicide, something she'd like to do given her inability to establish any successful relationships.
She wished that she had married Robert Dickson (David Roberts), but she didn't. She wants to be dating a student crisis counselor named Ben (Sandy Winton), until she sees him at home with his wife and kids.
One day, a fatal accident changes her life for the better. Or does it?
After being hit by a car, she wakes up in a parallel universe in which she meets herself -- the self that did marry Robert. Her other self happily chucks married life for the freedom of Pam's single one. This leaves Pam with a new husband and three kids, all of whom prove to be real challenges.
Griffiths does a masterful job of portraying Pam's fear and jubilation. After all, she has the man of her dreams in bed with her every night. Needless to say, he isn't exactly what she had imagined.
Her kids provide perhaps her biggest shock.
And then there is Stacey (Yael Stone), a ticking time bomb of a girl on the verge of adolescence. "Mom, if you don't get your period, do you have to use a condom if you're having sex," Stacey asks in a casual hall conversation. Another day, she tries to tell Pam not to worry about her. "I don't smoke, I don't drink and I can't afford drugs" she reassures her mother, which, of course, is more frightening than reassuring. Here is a girl who does not need to earn extra money.
The biggest surprise with the script is the way it subtly transforms the movie from a breezy little comedy into something more substantial. By the end we find ourselves, along with Pam, pondering significant issues ranging from self-actualization to the importance of love and family. ME MYSELF I is a gentle movie that works its magic more by the small turns in the plot than the large ones. By the end, you'll be rooting for Pam, while still not sure what is best for her. Both of her lives have their blessings and their hardships. The story's resolution is handled nicely and with just the right amount of ambiguity.
ME MYSELF I runs 1:44. It is rated R for sexuality and some language and would be acceptable for teenagers.
Email<EMAIL_ADDRESS>Web: http://www.InternetReviews.com
The review above was posted to the
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Related links: index of all rec.arts.movies.reviews reviews


+A healthy person must have a Healthy Body and a Healthy Soul
+First, Love your soul
+Less Angry
+Less hates
+Less lies
+Less ambision
+Less analysis
+Less comparing things
+Less competition
+Less enviousness, jealousy
+Less killing animals
+More love people, love animals
+More love nature
+More helping people
+More Meditation


{% extends "base_generic.html" %} {% block title %}Authors{% endblock %} {% block page %}
The library has the following Authors:


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@* * Copyright 2018 HM Revenue & Customs * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. *@ @import uk.gov.hmrc.apidocumentation.config._ @import uk.gov.hmrc.apidocumentation.controllers @import uk.gov.hmrc.apidocumentation.models._ @import include._ @import partials.pagination @(pageAttributes: PageAttributes)(implicit request: play.api.mvc.Request[Any], applicationConfig: ApplicationConfig, messages: Messages) @apiMain(pageAttributes) {
These endpoints need a server token. This must be passed as an Authorization
header with type Bearer
.
curl -H 'Authorization: Bearer [YOUR-SERVER-TOKEN]' \ -H 'Accept: application/vnd.hmrc.1.0+json' \ @{applicationConfig.sandboxApiBaseUrl}/hello/application
If you’ve already been issued a valid OAuth 2.0 access_token
,
you can substitute this with a server_token
.
For a working example, see the application-restricted endpoint tutorial.


Solution-driven professional excelling in highly collaborative work environment, finding solutions to challenges and focused on customer satisfaction. Proven experience developing consumer-focused web sites. Experience building products for desktop, phone and mobile app users, meeting highest standards for web design, user experience, best practices, usability and speed. Responding to challenges by designing and developing solutions and building web applications aligned to customer's services. Translating solutions into code and working across many different APIs, third-party integrations and databases.


Culpable in church killing?
by Nicholas JohansenThe man accused of shooting and killing a 78-year-old church elder in Salmon Arm earlier this year has completed a psychiatric assessment to determine if he can be held criminally responsible.
Matrix Gathergood, 25, was arrested on the morning of April 14, after he allegedly walked into Salmon Arm's Church of Christ during a church service and shot two people inside. Gordon Parmenter died at the scene, while Paul Derkach was seriously injured.
The shooting shocked the Shuswap community. Salmon Arm Mayor Alan Harrison described Parmenter as a “very caring” man who fostered many young people in the community.
Gathergood is facing charges of first-degree murder and aggravated assault. He has remained in custody since his arrest.
The psychiatric assessment of Gathergood will help determine if he can be found not criminally responsible due to a mental disorder.
Gathergood's case came through Salmon Arm's provincial court Tuesday, but since the report had just recently been completed, the court date was adjourned to allow the Crown and defence to thoroughly review the report.
The case will be back before the courts on Dec. 3.


IRISNET Documentation
Last Updated: January 13, 2003.
Table of Contents
Installation
The easiest way to install IRISNET is to check out everything from the CVS
repository and do a full installation.
- Download
- Set environment variables
- Add "IRISNET/packages/opencv-0.9.3/otherlibs/highgui/.libs/" and
"IRISNET/packages/opencv-0.9.3/cv/src/.libs/" to your LD_LIBRARY_PATH
environment variable. These environment variables tell where OpenCV is
installed.
- If Java is not installed on your system, add "IRISNET/packages/jdk1.3.1_06/jre/bin"
to your path.
- Configure webcam
- You need to install the appropriate webcam drivers for your webcam.
For USB Quickcam 3000 Pro webcams, use the driver on http://www.smcc.demon.nl/webcam/
- As root, run "insmod -f pwcx-i386.o" to load the Quickcam drivers.
- Run Test Suite (optional)
- You can optionally run "testall.sh" in the IRISNET/TestSuite directory
to see if everything is installed correctly.
Software Dependencies
Sensing Agents
- Sensing agent coordinates the loading and execution of senselets.
- Dependent on Webcam for getting sensor feed.
- Intel OpenCV Library
- Intel's open source computer vision and graphics library.
- Intel IPP/IPL
- OpenCV used to depend on Intel's Image Processing Library (IPL). Therefore,
OpenCV still shares a lot of data structures with the IPL. IPL is being
moved into Intel's Integrated Performance Primivites (IPP), which is not
free. OpenCV will use IPP to improve its performance if IPP is available,
but is not dependent on it. IPP is available for both Windows and Linux
platforms.
- Intel Site: http://www.intel.com/support/performancetools/libraries/ipp/ia/
- Richard Stevens Unix Network Programming Library
- CSAPP
Webcam
- Webcam loads video frames into shared memory for use by the senselets.
- Camstream
- C++ wrapper for Video4Linux and demo application. We use its
libraries for ease of implementation, but in theory we can call the Video4Linux
API directly.
- It has a nice GUI that lets us test the cameras easily.
- Camstream is dependent on Qt.
- http://www.smcc.demon.nl/camstream/
- Qt
- USB Quickcam drivers
- Video4Linux
- API used by Camstream and other programs to access video devices under
linux. Most webcam drivers provide this interface.
- http://www.exploits.org/v4l/
- Shared Memory API
Organizing Agents
Logger
- All IRISNet nodes send debugging to the logger, which reconstruct the
flow of packets in the network.
- Nam
Technologies, API's, and
Standards
XML
- We use XML as a distributed database for each application, and also
as a data format for network communication. XML is handled mostly by
the Organizing Agents.
- We rely heavily on Apache XML libraries. http://xml.apache.org/
Coding Style and Documentation
Test Suite
The test suite tests the components in system. All tests are in IRISNET/TestSuite/.
Within each directory, there is a script called testall.sh that runs the tests
the components. Also within each directory, there is a testcases.txt file
that describes each test in detail, the possible causes of failure for each
test, and possible remedies. Listed below are the tests and the two letter
code of each test in parentheses.
- Network (NT)
- Pings various sites to see if network connectivity is good.
- Sensing A
gent (SA)
- Builds the dummy2 application and tries to have the SA load it.
Checks to see that both are running.
- Video Test (VD)
- Checks whether there are any compatible video devices on the system.
Checks that we can get a live image from the video device.
- Webcam (WC)
- Checks that the webcam utility is working correctly. Runs the webcam
and checks that we can get a live image from it.
- OA
(OA)
- Checks whether Java is present on the system and that we can start
Xindice.
Parking Space Finder Application
The parking space finder application is an example application to demonstrate
what can be done with IRISNET. It uses the video feed to detect which
parking spaces are full or empty, and reports them to the OA's. There is a
web based GUI that queries the OA's to find parking lots with free spaces.
The application files are in IRISNET/Applications/parking/
- XML Schema for OA
- Files are located in IRISNET/Applications/parking/OA
- The example schemas have hard coded IP addresses of our demo machines.
- Web based front end
- Files are located in IRISNET/Applications/parking/FrontEnd
- The example html forms have hard coded IP addresses to our demo
machines.
- Application code for SA
- Files are located in IRISNET/Applications/parking/SA
- These files are general enough to be run on any SA
Running the Parking Space Finder on SA
We now describe the process of setting up an application on the SA. The
Parking Space Finder files can be used as a template to create other
applications.
- Compiling and Installing
- Run "configure" in IRISNET/Applications/. This will generate the
proper make files for SA applications.
- Run "make" in IRISNET/Applications/. This will compile the common
libraries and the applications.
- In IRISNET/Applications/parking/SA/, run installSA.sh. This copies
the parking space application to the proper SA directories.
- Similarly, run "configure" and "make" in IRISNET/SA/IrisWebcam/.
This builds the application to load images into the shared memory.
- Run "configure" and "make" in IRISNET/SA/IrisSA/ to build the SA
- Run "make" in IRISNET/Util/SAControl/ and also IRISNET/Util/PortSink/.
These are helper applications that facilitate running and debugging SA
applications without an OA running.
- Running the application
- Open up a new terminal and run IRISNET/Util/PortSink/portsink 6789.
This program listens on port 6789 and reads all data from that socket.
It simulates an OA listening for SA data.
- Do one of the following:
- cd into IRISNET/SA/IrisWebcam/. Run "./loadImage images/calibrate.bmp
75". This loads the calibration image into shared memory key 75.
- As root, load the Quickcam driver. Not as root, run "runwebcam.sh"
in IRISNET/SA/IrisWebcam/. This loads the live sensor feed into the
shared memory.
- cd into IRISNET/SA/IrisSA/src/parking/. Run "./calibrate >
pspots.conf". This program finds where the parking spots are from the
calibration image and writes the reference images for empty parking spots to
"pspot?.jpg".
- run "./updateconf". This copies the reference images and
calibration configuration to the proper SA directory.
- cd into IRISNET/SA/IrisSA/src/. Run "./runsa". This starts
the SA, listening on port 3456 for commands from the OA.
- In IRISNET/Util/SAControl/, run ` ./SAControl <IP_ADDRESS> 3456 "S
<IP_ADDRESS> 6789 parking" ', without the single quotes. This simulates
the OA asking the SA to start the parking space finder application.
You should see an image pop up displaying the free and empty parking spaces.
- cd into IRISNET/SA/IrisWebcam/. Run "./loadImages". This
script loads a series of images into the shared memory, simulating cars
coming into the parking lot. The parking space finder application
should reflect the updated status of the parking lots.
- Finally, in IRISNET/Util/SAControl/, run ` ./SAControl <IP_ADDRESS> 3456 "U
<IP_ADDRESS> 6789 parking" ' to terminate the parking space finder application.


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With all the hype around it, machine learning seems like the 'next biggest thing' that may revolutionise our world. With increased computational power and more and more data being collected everyday, algorithms of machine learning that originated in the 70s and 80s can finally be put to use. In this course, we will look at how we can use large datasets in order to create a simple machine learning model that helps us predict things.
Installing pip. Please scroll down to your relevant operating system.
Run "pip install pandas scikit-learn" in your terminal (PowerShell on Windows, Terminal on macOS and if you are using another operating system you probably know what you are doing).
Download this file and place it in your working directory.
To import and process our data, we will be using pandas. Pandas is a very comprehensive library that can do a lot of different things, but we'll only use pandas for its dataframes. For our purposes, dataframes are pretty much identical to two-dimensional arrays. Let's import it first.
import pandas as pd
Now, let's import the dataset and save it as a dataframe variable. The dataset we will be using is a fictional dataset of student profiles and their grades. We are using this fictional dataset as it is complete and a good starting point for us to learn about machine learning.
dataframe = pd.read_csv(r'student_performance.csv') print(dataframe)
We can retrieve individual columns by indexing them:
print(dataframe['gender'])
As a quick exercise, try to find the amount of students that are female.
For our machine learning model, we cannot use qualitative data. The computer simply is not smart enough to understand words such as male and female. Your course instructor should now explain how we can turn these types of data to qualitative data.
Now, let's create a new dataframe in order to store the processed data:
columns = [ gender', 'A', 'B', 'C', 'D', 'E', 'education', 'lunch', 'preparation', 'score' ] df = pd.DataFrame(0, index = list(range(1000)), columns = columns)
As an exercise, attempt to process the columns yourself. For example, you can set the new gender column like this:
for index, gender in enumerate(dataframe['gender']): if gender == 'female': df['gender'][index] = 1 else: df['gender'][index] = 0
Let's check our new dataframe "df" to see if we have done it correctly:
print(df)
Now, attempt to process the other rows yourself! You can find two examples of solutions at the bottom of this page.
Once you have finished processing your data, we can save it as a csv file like this:
df.to_csv('df.csv')
Because we have opened up a new file, we need to import the pandas library again and retrieve the data we saved as "df.csv":
import pandas as pd df = pd.read_csv(r'df.csv')
As mentioned previously, machine learning relies on training on datasets. Datasets are split into features (our input) and the result. We will save the features in a dataframe called X and the results in one called y.
Let's just check what df is like again:
print(df)
Okay, so we have this new column called 'Unnamed: 0'. This appeared because when we saved our panda dataframe, indices were assigned. We do not actually need these indices so we can drop this column when splitting our dataframe into X and y. We can use drop() in order to drop the columns. Specifying that axis = 1 means that we want to drop columns, not rows:
X = df.drop(['Unnamed: 0', 'score'], axis = 1) y = df['score']
We will be using the scikit-learn library for everything machine learning related. First, we will need to import the functions from this library we will be using:
from sklearn.model_selection import train_test_split from sklearn.linear_model import LinearRegression
Now let's split X and y into training and testing datasets. Your course instructor should explain the difference between these two.
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.25)
Now, let's create our linear regression model and train our dataset. For more information about linear regression please visit the link in the previous paragraph.
model = LinearRegression() model.fit(X_train, y_train)
In order to predict the test score from features, we can use model.predict():
y_predict = model.predict(X_test)
There are many different ways we can see how good our predictions are. Try to find the average difference between the predicted and actual values. Scroll to the bottom of the page for a solution.
We can also predict a single result. Because model.predict() only takes two-dimensional data structures as input, we need to use double square brackets when we are predicting the result for a single entry:
print(model.predict([[0,0,0,1,0,0,4,0,1]]))
So our model is pretty good, predicting within 30 marks of the actual score consistently. To make sure that we do not have to retrain our model everytime we run our program, let's save our model.
import pickle filename = 'model' with open(filename, 'wb') as handle: pickle.dump(model, handle)
This saves our model in a file called "model" in the current directory. We can import the model back like this:
with open(filename, 'rb') as handle: model_from_file = pickle.load(handle) print(model_from_file.predict([[0,0,0,1,0,0,4,0,1]])) # This should be the same as your previous result.
Now, you can load your model in multiple files. Scroll to the bottom of the page for Exercise 3.
Here are 2 solutions for data processing:
education_values = { 'high school': 1, 'some high school': 1, 'associate\'s degree': 2, 'some college': 3, 'bachelor\'s degree': 3, 'master\'s degree': 4 } for i in range(1000): df['gender'][i] = int(dataframe['gender'][i] == 'female') df[dataframe['race/ethnicity'][i][-1]][i] = 1 df['education'][i] = education_values[dataframe['parental level of education'][i]] df['lunch'][i] = int(dataframe['lunch'][i] == 'standard') df['preparation'][i] = int(dataframe['test preparation course'][i] == 'standard') df['score'][i] = dataframe['math score'][i] + dataframe['reading score'][i] + dataframe['writing score'][i] df.to_csv('df.csv')
education_values = { 'high school': 1, 'some high school': 1, 'associate\'s degree': 2, 'some college': 3, 'bachelor\'s degree': 3, 'master\'s degree': 4 } ethnicity_values = { 'group A': 0, 'group B': 1, 'group C': 2, 'group D': 3, 'group E': 4 } df['gender'] = dataframe['gender'].replace({'male': 0, 'female': 1}) ethnicity_columns = pd.get_dummies(dataframe['race/ethnicity'].replace(ethnicity_values)) for i in range(5): df['ABCDE'[i]] = ethnicity_columns[i] df['education'] = dataframe['parental level of education'].replace(education_values) df['lunch'] = dataframe['lunch'].replace({'free/reduced': 0, 'standard': 1}) df['preparation'] = dataframe['test preparation course'].replace({'none': 0, 'completed': 1}) df['score'] = dataframe['math score'] + dataframe['reading score'] + dataframe['writing score'] df.to_csv('df.csv')
Here is the solution for finding the average difference:
print(sum(abs(y_predict - y_test)) / len(y_predict))
Try to build a console application that lets people input their information and predict their total score.


Export description
This file was automatically generated by VR Data 2016, owned by VitalResponder to Market (VR2Market) project.
Aggregator
- ID: 3185
- Name: Samsung Galaxy S7
- MAC: 02:00:00:00:00:00
Acquisition
- ID: 3219
- Name: USA
- Description: CMU
- Domain:
- Team:
- Start: 2016-11-09 19:29:43.628
- Start (in milliseconds):<PHONE_NUMBER>628
- End: 2016-11-09 19:40:10.105
- End (in milliseconds):<PHONE_NUMBER>105
- Duration: 0 0:10:26
Sensors
- ID: 3186
- Name: 1LN1200065
- MAC: 00:23:FE:00:0A:50
- Frequency: ECG: 500 Hz, Other values: 1 Hz
Type: VitalJacket
ID: 3049
- Name: Comp1
- MAC: gpsnomac
- Frequency: Unknown
Type: Comp1
ID: 3187
- Name: HelmetUnit7
- MAC: 00:06:66:7C:65:76
- Frequency: 0.1 Hz
Type: Helmet
ID: 3188
- Name: Samsung Galaxy S7
- MAC: 02:00:00:00:00:00
- Frequency: Unknown
- Type: Unit
Data
Helmet.tsv
- Sensor: Helmet - HelmetUnit7
- Fs: 0.1 Hz
- Start: 2016-11-09 19:30:45.189
- Start (in milliseconds):<PHONE_NUMBER>189
- End: 2016-11-09 19:39:42.104
- End (in milliseconds):<PHONE_NUMBER>104
Columns (left to right)
- Readable timestamp
- Timestamp (milliseconds)
- Altitude
- CO
- NO2
- Environmental temperature
- Atmospheric pressure
- Humidity
- Luminosity
- Battery
Comp1.tsv
- Sensor: Comp1 - Comp1
- Fs: Unknown
- Start: 2016-11-09 19:29:44.771
- Start (in milliseconds):<PHONE_NUMBER>771
- End: 2016-11-09 19:40:10.105
- End (in milliseconds):<PHONE_NUMBER>105
Columns (left to right)
- Readable timestamp
- Timestamp (milliseconds)
- Comp1 time
- Comp1 timezone
- Latitude
- Longitude
- Altitude
Unit_Battery.tsv
- Sensor: Unit - Samsung Galaxy S7
- Fs: Unknown
- Start: 2016-11-09 19:29:43.628
- Start (in milliseconds):<PHONE_NUMBER>628
- End: 2016-11-09 19:39:42.179
- End (in milliseconds):<PHONE_NUMBER>179
Columns (left to right)
- Readable timestamp
- Timestamp (milliseconds)
- Battery
VitalJacket_ECG.tsv
- Sensor: VitalJacket - 1LN1200065
- Fs: ECG: 500 Hz, Other values: 1 Hz
- Start: 2016-11-09 19:29:44.973
- Start (in milliseconds):<PHONE_NUMBER>973
- End: 2016-11-09 19:36:57.469
- End (in milliseconds):<PHONE_NUMBER>469
Columns (left to right)
VitalJacket_others.tsv
- Sensor: VitalJacket - 1LN1200065
- Fs: ECG: 500 Hz, Other values: 1 Hz
- Start: 2016-11-09 19:29:44.973
- Start (in milliseconds):<PHONE_NUMBER>973
- End: 2016-11-09 19:36:57.469
- End (in milliseconds):<PHONE_NUMBER>469
Columns (left to right)
- Readable timestamp
- Timestamp (milliseconds)
- HR
- RR
- Body temperature
- Battery
Note:The value '-1.0' means no data.


Welcome to the Calorie Tracker App
Click
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to create a new Account {# sends it to get get method #}


. GOOD WILL HUNTING A film review by Christopher Null Copyright 1998 Christopher Null
Hype? Sheesh, like no other. This side of TITANIC, GOOD WILL HUNTING has enjoyed some of the most baffling, gushing praise of the year. Does either film deserve it? Not really.
 Oh no! Affleck is his down-to-earth best bud. Driver, the hoity-toity love interest. Williams and Skarsgård as Hunting's mentors, the guys that rescue him from a prison sentence for assaulting a police officer. And it is made abundantly clear that the film is also about the class stuggle in Boston.
Now that I've typed it out, it sounds ridiculous, and the more I think about it, the more it really *is*. The plot and theme of GOOD WILL HUNTING hinge upon the idea that it's tough for the smartest man in the world to make the move from crumb-bum to respectable member of society. Why? Because (a) "just because he has a gift he doesn't have to use it!" and (b) he had a troubled childhood. Well, boo hoo!
The more I write, the more it sounds like a topic on "Jenny Jones": Boy Geniuses on the Wrong Side of the Tracks. Right. If any believable character had this guy's abilities, this movie would have been much different... and probably much shorter, too.
I realize I'm ranting here, but the pop psychology of HUNTING reaches such a high level of annoyance so that when Williams tearfully confronts Damon with the film's signature line of -- I kid you not -- "It's not your fault," it just gets silly. And it lost me.
The script, written by Damon and Affleck, is otherwise humorous and keeps you entertained. Van Sant's direction is inexplicably amateurish and features some lousy voice dubbing. Williams is pretty good in his role, and for what it's worth, so is Damon, even though the character is ludicrous. All told, the film has plenty of enjoyable moments, but it's just not the deep experience the filmmakers want you to believe it is.
And neither was TITANIC. That ought to guarantee me plenty of hate mail for the next few weeks. Fire away.

The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Of course, a button isn't a button if you can't click it. To toggle the button, add an event listener. To add event
listeners on the host element (in this case, icon-toggle
), add a listeners
object to
the element prototype:
Polymer({
/* this is the element's prototype */
is: 'icon-toggle',
properties: {
toggleIcon: String,
pressed: {
type: Boolean,
value: false,
notify: true,
reflectToAttribute: true
}
},
listeners: {
'tap': 'toggle'
},
toggle: function() {
this.pressed = !this.pressed;
},
});
listeners
object maps event names to handler names.
tap
event is generated by Polymer's gesture
system when the user clicks or taps on a target with a mouse or finger.
Save the icon-toggle.html
file and run the demo again. You should be able to press the button and see it
toggle between its pressed and unpressed states.


---
layout: default
title: Tap
tags: portfolio
---
A simple beautiful application for tracking simple events.{{ page.title }}
Tap is a simple application meant to allow anyone keep track of the number of times something occurs.
Why keeping track counts
Having trouble with the application? Would you like to see a new feature? Or, would you like to just say hello?
Just drop me a line!
I wanted to make an application that was a simple concept but would also allow me to become creative with what features I can add in the future. How the application looks and feels to the user is also very important to me, this is why I wanted to put extra emphasis on making the application beautiful.
I am a passionate mobile developer and I love to build things, pushing myself out of my comfort zone and most of all I love to learn. I started this project to explore a new architecture and to write a blog about my experiences with the architecture. In the process I realized that I was making something that I was really proud of and I wanted to share my creation. I still have ambitions to write about this journey in a series of blog posts and I will proudly share the link once I have started. Thank you for your support!


EventType3D()
Syntax
Result = EventType3D()Description
After a WindowEvent3D() function, use this function to determine of which type the event is.
Parameters
None.
Return value
The following values are possible, if an event of the type #PB_Event3D_Gadget (library Gadget3D) occurs:#PB_EventType3D_Focus : Get the focus. #PB_EventType3D_LostFocus: Lose the focus. #PB_EventType3D_Change : Content change.The following gadgets support EventType3D():
- SpinGadget3D()
- StringGadget3D()
(See the gadget definition to see which events are supported).
See Also
WindowEvent3D()
Supported OS
All


Class AV.Promise
Defined in: av.js.
| Constructor Attributes | Constructor Name and Description |
|---|---|
|
AV.Promise(fn)
A Promise is returned by async methods as a hook to provide callbacks to be
called when the async task is fulfilled.
|
| Method Attributes | Method Name and Description |
|---|---|
| <static> |
AV.Promise.all(promises)
Just like AV.Promise.when, but it calls resolveCallbck function
with one results array and calls rejectCallback function as soon as any one
of the input promises rejects.
|
|
always(callback)
Add handlers to be called when the promise
is either resolved or rejected
|
|
| <static> |
AV.Promise.as()
Returns a new promise that is resolved with a given value.
|
|
done(callback)
Add handlers to be called when the Promise object is resolved
|
|
| <static> |
AV.Promise.error()
Returns a new promise that is rejected with a given error.
|
|
fail(callback)
Add handlers to be called when the Promise object is rejected
|
|
|
finally()
Alias of AV.Promise.prototype.always
|
|
| <static> |
AV.Promise.is(promise)
Returns true iff the given object fulfils the Promise interface.
|
| <static> |
AV.Promise.race(promises)
Returns a promise that resolves or rejects as soon as one
of the promises in the iterable resolves or rejects, with
the value or reason from that promise.Returns a new promise
that is fulfilled when one of the input promises.
|
|
reject(error)
Marks this promise as fulfilled, firing any callbacks waiting on it.
|
|
|
resolve(result)
Marks this promise as fulfilled, firing any callbacks waiting on it.
|
|
|
then(resolvedCallback, rejectedCallback)
Adds callbacks to be called when this promise is fulfilled.
|
|
|
try()
Alias of AV.Promise.prototype.done
|
|
| <static> |
AV.Promise.when(promises)
Returns a new promise that is fulfilled when all of the input promises
are resolved.
|
Class Detail
AV.Promise(fn)
A Promise is returned by async methods as a hook to provide callbacks to be
called when the async task is fulfilled.
Typical usage would be like:
query.find().then(function(results) { results[0].set("foo", "bar"); return results[0].saveAsync(); }).then(function(result) { console.log("Updated " + result.id); });
Another example:
var promise = new AV.Promise(function(resolve, reject) { resolve(42); }); promise.then(function(value){ console.log(value); }).catch(function(error){ console.error(error); });
- Parameters:
- {Function} fn
- An optional function with two arguments resolve and reject.The first argument fulfills the promise, the second argument rejects it. We can call these functions, once our operation is completed.
- See:
- AV.Promise.prototype.then
Method Detail
<static>
AV.Promise.all(promises)
Just like AV.Promise.when, but it calls resolveCallbck function
with one results array and calls rejectCallback function as soon as any one
of the input promises rejects.
- Parameters:
- promises
- See:
- AV.Promise.when
always(callback)
Add handlers to be called when the promise
is either resolved or rejected
- Parameters:
- callback
<static>
{AV.Promise}
AV.Promise.as()
Returns a new promise that is resolved with a given value.
- Returns:
- {AV.Promise} the new promise.
done(callback)
Add handlers to be called when the Promise object is resolved
- Parameters:
- callback
<static>
{AV.Promise}
AV.Promise.error()
Returns a new promise that is rejected with a given error.
- Returns:
- {AV.Promise} the new promise.
fail(callback)
Add handlers to be called when the Promise object is rejected
- Parameters:
- callback
finally()
Alias of AV.Promise.prototype.always
- See:
- AV.Promise#always
<static>
{Boolean}
AV.Promise.is(promise)
Returns true iff the given object fulfils the Promise interface.
- Parameters:
- promise
- Returns:
- {Boolean}
<static>
{AV.Promise}
AV.Promise.race(promises)
Returns a promise that resolves or rejects as soon as one
of the promises in the iterable resolves or rejects, with
the value or reason from that promise.Returns a new promise
that is fulfilled when one of the input promises.
For example:
var p1 = AV.Promise.as(1); var p2 = AV.Promise.as(2); var p3 = AV.Promise.as(3); AV.Promise.race(p1, p2, p3).then(function(result) { console.log(result); // prints 1 });The input promises can also be specified as an array:
var promises = [p1, p2, p3]; AV.Promise.when(promises).then(function(result) { console.log(result); // prints 1 });
- Parameters:
- {Array} promises
- a list of promises to wait for.
- Returns:
- {AV.Promise} the new promise.
reject(error)
Marks this promise as fulfilled, firing any callbacks waiting on it.
- Parameters:
- {Object} error
- the error to pass to the callbacks.
resolve(result)
Marks this promise as fulfilled, firing any callbacks waiting on it.
- Parameters:
- {Object} result
- the result to pass to the callbacks.
{AV.Promise}
then(resolvedCallback, rejectedCallback)
Adds callbacks to be called when this promise is fulfilled. Returns a new
Promise that will be fulfilled when the callback is complete. It allows
chaining. If the callback itself returns a Promise, then the one returned
by "then" will not be fulfilled until that one returned by the callback
is fulfilled.
- Parameters:
- {Function} resolvedCallback
- Function that is called when this Promise is resolved. Once the callback is complete, then the Promise returned by "then" will also be fulfilled.
- {Function} rejectedCallback
- Function that is called when this Promise is rejected with an error. Once the callback is complete, then the promise returned by "then" with be resolved successfully. If rejectedCallback is null, or it returns a rejected Promise, then the Promise returned by "then" will be rejected with that error.
- Returns:
- {AV.Promise} A new Promise that will be fulfilled after this Promise is fulfilled and either callback has completed. If the callback returned a Promise, then this Promise will not be fulfilled until that one is.
try()
Alias of AV.Promise.prototype.done
- See:
- AV.Promise#done
<static>
{AV.Promise}
AV.Promise.when(promises)
Returns a new promise that is fulfilled when all of the input promises
are resolved. If any promise in the list fails, then the returned promise
will fail with the last error. If they all succeed, then the returned
promise will succeed, with the results being the results of all the input
promises. For example:
var p1 = AV.Promise.as(1); var p2 = AV.Promise.as(2); var p3 = AV.Promise.as(3); AV.Promise.when(p1, p2, p3).then(function(r1, r2, r3) { console.log(r1); // prints 1 console.log(r2); // prints 2 console.log(r3); // prints 3 });The input promises can also be specified as an array:
var promises = [p1, p2, p3]; AV.Promise.when(promises).then(function(r1, r2, r3) { console.log(r1); // prints 1 console.log(r2); // prints 2 console.log(r3); // prints 3 });
- Parameters:
- {Array} promises
- a list of promises to wait for.
- Returns:
- {AV.Promise} the new promise.


Basic image
|
|
Good image - width set to 0
|
|
Good image - width set to 1
|
|
Good image - height set to 0
|
|
Good image - height set to 1
|
|
Good image - width set to 0,
height set to 0
|
|
Good image - width set to 1,
height set to 1
|
|
Bad image - type field set to 1
|
|
Bad image - type field only
|
|
| Bad image - fix header bit 0 is
set |
|
| Bad image - fix header bit 1 is
set |
|
| Bad image - fix header bit 2 is
set |
|
| Bad image - fix header bit 3 is
set |
|
| Bad image - fix header bit 4 is
set |
|
| Bad image - fix header bit 7 is
set, meaning ext header follows (empty ext header does follow) |
|
Bad image - type and fix header
fields only
|
|
Bad image - huge width
|
|
Bad image - type, fix header and
width only
|
|
Bad image - huge height
|
|
Bad image - type, fix header,
width and height only
|
|
Bad image - image data truncated
|
|


[§432G-8] Reserve credit for reinsurance. Any dental insurer that takes credit for reserves on risks ceded to a reinsurer shall be subject to provisions of article 4A of chapter 431. [L 2013, c 191, pt of §1]


Raisin bran (sultana bran in some countries<ref>{{cite web |url=http://www.wisegeek.com/what-is-a-sultana.htm |title=What Is a Sultana? |publisher=wiseGEEK |accessdate=2014-03-13 }}</ref>) is a breakfast cereal manufactured by several companies under a variety of brand names, including Kellogg's Raisin Bran, General Mills' Total Raisin Bran and Post Foods' Post Raisin Bran.
Contents |
"Skinner's Raisin Bran" was the first bran brand on the market, introduced in the United States in 1926 by U.S. Mills.{{citation needed|date=March 2014}} The name "Raisin Bran" was at one time trademarked by Kellogg, however in 1944 the District Court for Nebraska found:
During his incarceration, former Iraqi dictator Saddam Hussein preferred Raisin Bran cereal for breakfast given by his American prison guards.<ref>http://www.nbcnews.com/id/8288955/ns/world_news-mideast_n_africa/t/saddam-guards-describe-his-doritos-habit/#.Vd3l_vlViko</ref>
Raisin Bran has high dietary fiber content, but has been criticized for containing too much sugar.<ref>{{cite web |url=http://www.highbeam.com/doc/1P2-1081023.html |title=Kellogg Raisin' a Fuss; Cereal Maker Says WIC Food Guidelines Barring Bran as Too Sugary Are All Wet |accessdate=2008-03-20 |work= |publisher=The Washington Post }}</ref> Raisins naturally contain high levels of fructose.
Sultana Bran received four and a half stars out of five on the Australian Government's health star ratings.<ref>{{cite web|url=http://www.smh.com.au/business/retail/food-health-star-ratings-kelloggs-reveals-the-cereal-that-gets-15-stars-20150420-1mop9e.html|title=Food health star ratings: Kellogg's reveals the cereal that gets 1.5 stars|first=Esther|last=Han|newspaper=The Sydney Morning Herald|date=20 April 2015}}</ref>
{{Reflist}}
{{Kellogg's}}
{{food-stub}}


Sassa and her brother's and sister's spend some quality time with dad.
The Golden State Warriors top the Oklahoma City Thunder to become only the 10th team in NBA history to overcome a 3-1 series deficit.
Check out the best Tissot buzzer beaters from the decade!


{% extends 'index.html' %} {% load static %} {% block title %} Home {% endblock %} {% block content %} {{obj.name}} Suggestion This suggestion has been read {% endblock content %}
This suggestion has been read


reveal.js enables you to create beautiful interactive slide decks using HTML.
Presentation apps can't handle web languages.
Reaveal.js gives full power of web browser.
It lets you load any JS library.
So, that was horizontal slides
Now, lets see some vertical slides
Slides can be nested inside of each other.
Use the Space key to navigate through all slides.
Yeahhhh..... like this
Now let me show you what i meant by this
Markdown Sample
Presentation looks great on touch devices, like any mobile phones and tablets. Simply swipe through your slides.
Fragments are used to highlight individual elements on a slide. Every element with the class fragment will be stepped through before moving on to the next slide.
Lets see some example
Fragment 1
Fragment 2
grow
shrink
strike
fade-out
fade-up (also down, left and right!)
fades in, then out when we move to the next step
fades in, then obfuscate when we move to the next step
blue only once
You can select from different transitions, like:
Zoom Effect !
Next is slow speed
Now, next is convex transition
Convex transition !
Next is Slide
Slide Transition !
Next is concave
Concave Transition !
Next is fade
This is fade
Press S
Thats how you see speaker notes.
Thank you everyone


Subtracts and assigns the value(s) of val to the elements of the af::array.
More...
| array & | operator-= (const array &val) |
| | Subtracts the value(s) of val to the elements of the array.
|
| |
| array & | operator-= (const double &val) |
| | Subtracts the value(s) of val to the elements of the array.
|
| |
| array & | operator-= (const cdouble &val) |
| | Subtracts the value(s) of val to the elements of the array.
|
| |
| array & | operator-= (const cfloat &val) |
| | Subtracts the value(s) of val to the elements of the array.
|
| |
| array & | operator-= (const float &val) |
| | Subtracts the value(s) of val to the elements of the array.
|
| |
| array & | operator-= (const int &val) |
| | Subtracts the value(s) of val to the elements of the array.
|
| |
| array & | operator-= (const unsigned &val) |
| | Subtracts the value(s) of val to the elements of the array.
|
| |
| array & | operator-= (const bool &val) |
| | Subtracts the value(s) of val to the elements of the array.
|
| |
| array & | operator-= (const char &val) |
| | Subtracts the value(s) of val to the elements of the array.
|
| |
| array & | operator-= (const unsigned char &val) |
| | Subtracts the value(s) of val to the elements of the array.
|
| |
| array & | operator-= (const long &val) |
| | Subtracts the value(s) of val to the elements of the array.
|
| |
| array & | operator-= (const unsigned long &val) |
| | Subtracts the value(s) of val to the elements of the array.
|
| |
| array & | operator-= (const long long &val) |
| | Subtracts the value(s) of val to the elements of the array.
|
| |
| array & | operator-= (const unsigned long long &val) |
| |
| array & | operator-= (const short &val) |
| | Subtracts the value(s) of val to the elements of the array.
|
| |
| array & | operator-= (const unsigned short &val) |
| |
Subtracts and assigns the value(s) of val to the elements of the af::array.
Substracts and assigns values
◆ operator-=() [1/16]
Subtracts the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator-=() [2/16]
| array & operator-= |
( |
const bool & |
val | ) |
|
Subtracts the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator-=() [3/16]
Subtracts the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator-=() [4/16]
Subtracts the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator-=() [5/16]
| array & operator-= |
( |
const char & |
val | ) |
|
Subtracts the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator-=() [6/16]
| array & operator-= |
( |
const double & |
val | ) |
|
Subtracts the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator-=() [7/16]
| array & operator-= |
( |
const float & |
val | ) |
|
Subtracts the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator-=() [8/16]
| array & operator-= |
( |
const int & |
val | ) |
|
Subtracts the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator-=() [9/16]
| array & operator-= |
( |
const long & |
val | ) |
|
Subtracts the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator-=() [10/16]
| array & operator-= |
( |
const long long & |
val | ) |
|
Subtracts the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator-=() [11/16]
| array & operator-= |
( |
const short & |
val | ) |
|
Subtracts the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator-=() [12/16]
| array & operator-= |
( |
const unsigned & |
val | ) |
|
Subtracts the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator-=() [13/16]
| array & operator-= |
( |
const unsigned char & |
val | ) |
|
Subtracts the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator-=() [14/16]
| array & operator-= |
( |
const unsigned long & |
val | ) |
|
Subtracts the value(s) of val to the elements of the array.
- Parameters
-
| [in] | val | is the value to be assigned to the /ref af::array |
- Returns
- the reference to this
- Note
- This is a copy on write operation. The copy only occurs when the operator() is used on the left hand side.
◆ operator-=() [15/16]
| array & operator-= |
( |
const unsigned long long & |
val | ) |
|
◆ operator-=() [16/16]
| array & operator-= |
( |
const unsigned short & |
val | ) |
|


Scrawl.js
- demonstration 031a (automated)
Bunny rendering test (#1 - naive coding; slow result)
Extensions: images, collisions, animation, block
Loading the bunny ...


ngMessages
The ngMessages
module provides enhanced support for displaying messages within templates
(typically within forms or when rendering message objects that return key/value data).
Instead of relying on JavaScript code and/or complex ng-if statements within your form template to
show and hide error messages specific to the state of an input field, the ngMessages
and
ngMessage
directives are designed to handle the complexity, inheritance and priority
sequencing based on the order of how the messages are defined in the template.
Currently, the ngMessages module only contains the code for the ngMessages
, ngMessagesInclude
ngMessage
and ngMessageExp
directives.
The ngMessages
directive listens on a key/value collection which is set on the ngMessages attribute.
Since the ngModel directive exposes an $error
object, this error object can be
used with ngMessages
to display control error messages in an easier way than with just regular angular
template directives.
<form name="myForm">

Enter text:
<input type="text" ng-model="field" name="myField" required minlength="5" />

You did not enter a field

Your email must be between 5 and 100 characters long

</form>
Now whatever key/value entries are present within the provided object (in this case $error
) then
the ngMessages directive will render the inner first ngMessage directive (depending if the key values
match the attribute value present on each ngMessage directive). In other words, if your errors
object contains the following data:

myField.$error = { minlength : true, required : false };
Then the required
message will be displayed first. When required is false then the minlength
message
will be displayed right after (since these messages are ordered this way in the template HTML code).
The prioritization of each message is determined by what order they're present in the DOM.
Therefore, instead of having custom JavaScript code determine the priority of what errors are
present before others, the presentation of the errors are handled within the template.
By default, ngMessages will only display one error at a time. However, if you wish to display all
messages then the ng-messages-multiple
attribute flag can be used on the element containing the
ngMessages directive to make this happen.

...

<ng-messages for="myForm.myField.$error" multiple>...</ng-messages>
In addition to prioritization, ngMessages also allows for including messages from a remote or an inline template. This allows for generic collection of messages to be reused across multiple parts of an application.

However, including generic messages may not be useful enough to match all input fields, therefore,
ngMessages
provides the ability to override messages defined in the remote template by redefining
them within the directive container.

<form name="myForm">

Email address
<input type="email"
id="email"
name="myEmail"
ng-model="email"
minlength="5"
required />

You did not enter your email address

Your email address is invalid

</form>
In the example HTML code above the message that is set on required will override the corresponding required message defined within the remote template. Therefore, with particular input fields (such email addresses, date fields, autocomplete inputs, etc...), specialized error messages can be applied while more generic messages can be used to handle other, more general input errors.
ngMessages also supports using expressions to dynamically change key values. Using arrays and repeaters to list messages is also supported. This means that the code below will be able to fully adapt itself and display the appropriate message when any of the expression data changes:
<form name="myForm">

Email address
<input type="email"
name="myEmail"
ng-model="email"
minlength="5"
required />

You did not enter your email address

{{ errorMessage.text }}

</form>
The errorMessage.type
expression can be a string value or it can be an array so
that multiple errors can be associated with a single error message:

Email address
<input type="email"
ng-model="data.email"
name="myEmail"
ng-minlength="5"
ng-maxlength="100"
required />

You did not enter your email address

Your email must be between 5 and 100 characters long

Feel free to use other structural directives such as ng-if and ng-switch to further control what messages are active and when. Be careful, if you place ng-message on the same element as these structural directives, Angular may not be able to determine if a message is active or not. Therefore it is best to place the ng-message on a child element of the structural directive.

Please enter something

If the ngAnimate
module is active within the application then the ngMessages
, ngMessage
and
ngMessageExp
directives will trigger animations whenever any messages are added and removed from
the DOM by the ngMessages
directive.
Whenever the ngMessages
directive contains one or more visible messages then the .ng-active
CSS
class will be added to the element. The .ng-inactive
CSS class will be applied when there are no
messages present. Therefore, CSS transitions and keyframes as well as JavaScript animations can
hook into the animations whenever these classes are added/removed.
Let's say that our HTML code for our messages container looks like so:

...

...

Then the CSS animation code for the message container looks like so:
.my-messages {
transition:1s linear all;
}
.my-messages.ng-active {
// messages are visible
}
.my-messages.ng-inactive {
// messages are hidden
}
Whenever an inner message is attached (becomes visible) or removed (becomes hidden) then the enter
and leave animation is triggered for each particular element bound to the ngMessage
directive.
Therefore, the CSS code for the inner messages looks like so:
.some-message {
transition:1s linear all;
}
.some-message.ng-enter {}
.some-message.ng-enter.ng-enter-active {}
.some-message.ng-leave {}
.some-message.ng-leave.ng-leave-active {}
Click here to learn how to use JavaScript animations or to learn more about ngAnimate.
First include angular-messages.js
in your HTML:


Lifetime
The Unity container manages the lifetime of objects based on a Lifetime Manager you specify when you register the type. If you do not specify anything for your type registration Unity uses transient lifetime manager.
When you register a type in configuration, or by using the RegisterType
method and do not explicitly specify lifetime manager, the default behavior is for the container to use a transient lifetime manager. It creates a new instance of the registered, mapped, or requested type each time you call the Resolve method or when the dependency mechanism injects instances into other classes. The container does not store a reference to the object.
Unity uses specific types that inherit from the LifetimeManager
base class (collectively referred to as lifetime managers) to control how it stores references to object instances and how the container disposes of these instances.
When you register an existing object using the RegisterInstance
method, the default behavior is for the container to take over management of the lifetime of the object you pass to this method using the ContainerControlledLifetimeManager
. This means that container maintains strong reference to the object and at the end of the container lifetime, the existing object is disposed.
How registering lifetime works
Unity uses concepts of Registered type and MappedTo type. Depending if registration is a mapping or just single type registration Unity behaves differently
Single type registration
When type is registered like this:
RegisterType<SomeType>(new ContainerControlledLifetimeManager());
everything is simple. Registered type is SomeType
and Unity will resolve it as container controlled singleton.
Mapping registration
This is the most common scenario for dependency injection using Unity. It involves registering a mapping between types such as an interface or a base class and a corresponding concrete class that implements or inherits from it. When type is registered as a mapping:
RegisterType<IService, SomeType>();
Registered type (used to be called From type) is always the first in the sequence, in this case IService
. Registration like this tells Unity that when ISerive
is requested it should resolve it as SomeType
and return as ISerive
.
When next time you call Resolve<ISerive>()
Unity performs following tasks:
- Checks if
SomeType
is registered and if yes, resolves that registration - If
SomeType
is not registered Unity creates it and returns to the caller
In the example above SomeType
is registered as a container controlled singleton, so it will always resolve the same instance.
In this example:
RegisterType<IService, Service>();
registered type IService
is mapped to type Service
. No lifetime manager is provided so every time IService
is created Unity constructs a new Service
object and returns it as IService
to the caller.
Now, if you want to assign a lifetime to this registration like this:
RegisterType<IService, Service>(new ContainerControlledLifetimeManager());
it tells Unity to resolve IService
as usual and store result in ContainerControlledLifetimeManager
. So next time you call Resolve<IService>
Unity will locate registration for IService
and check if associated ContainerControlledLifetimeManager
has instance already stored in it. If yes, it will simply return that instance.


ApPaymentRequestCreate
class ApPaymentRequestCreate extends AbstractApPaymentRequest
Create a new accounts payable payment request record
Constants
| PAYMENT_METHODS |
|
| PAYMENT_METHOD_CHECK |
|
| PAYMENT_METHOD_CASH |
|
| PAYMENT_METHOD_RECORD_TRANSFER |
|
| PAYMENT_METHOD_CHARGE_CARD |
|
| PAYMENT_METHOD_ACH |
|
Methods
Initializes the class with the given parameters.
Set transaction amount
Set notification contact name
Get apply to transactions
Details
in AbstractFunction at line line 35
getControlId()
Get control ID
in AbstractFunction at line line 46
setControlId($controlId = null)
Set control ID
in AbstractFunction at line line 67
__construct(string $controlId = null)
Initializes the class with the given parameters.
at line line 34
writeXml(XMLWriter $xml)
Write the function block XML
in AbstractApPaymentRequest at line line 96
int|string
getRecordNo()
Get record number
in AbstractApPaymentRequest at line line 106
setRecordNo(int|string $recordNo)
Set record number
in AbstractApPaymentRequest at line line 116
string
getPaymentMethod()
Get payment method
in AbstractApPaymentRequest at line line 127
setPaymentMethod(string $paymentMethod)
Set payment method
in AbstractApPaymentRequest at line line 140
string
getBankAccountId()
Get bank account ID
in AbstractApPaymentRequest at line line 150
setBankAccountId(string $bankAccountId)
Set bank account ID
in AbstractApPaymentRequest at line line 160
string
getChargeCardId()
Get charge card ID
in AbstractApPaymentRequest at line line 170
setChargeCardId(string $chargeCardId)
Set charge card ID
in AbstractApPaymentRequest at line line 180
string
getVendorId()
Get vendor ID
in AbstractApPaymentRequest at line line 190
setVendorId(string $vendorId)
Set vendor ID
in AbstractApPaymentRequest at line line 200
string
getMergeOption()
Get merge option
in AbstractApPaymentRequest at line line 211
setMergeOption(string $mergeOption)
Set merge option
in AbstractApPaymentRequest at line line 221
boolean
isGroupPayments()
Get group payments
in AbstractApPaymentRequest at line line 231
setGroupPayments(boolean $groupPayments)
Set group payments
in AbstractApPaymentRequest at line line 241
DateType
getPaymentDate()
Get payment date
in AbstractApPaymentRequest at line line 251
setPaymentDate(DateType $paymentDate)
Set payment date
in AbstractApPaymentRequest at line line 261
float|string
getTransactionAmount()
Get transaction amount
in AbstractApPaymentRequest at line line 271
setTransactionAmount(float|string $transactionAmount)
Set transaction amount
in AbstractApPaymentRequest at line line 281
string
getDocumentNo()
Get document number
in AbstractApPaymentRequest at line line 291
setDocumentNo(string $documentNo)
Set document number
in AbstractApPaymentRequest at line line 301
string
getMemo()
Get memo
in AbstractApPaymentRequest at line line 311
setMemo(string $memo)
Set memo
in AbstractApPaymentRequest at line line 321
string
getNotificationContactName()
Get notification contact name
in AbstractApPaymentRequest at line line 331
setNotificationContactName(string $notificationContactName)
Set notification contact name
in AbstractApPaymentRequest at line line 341
ApPaymentRequestItem[]
getApplyToTransactions()
Get apply to transactions
in AbstractApPaymentRequest at line line 351
setApplyToTransactions(ApPaymentRequestItem[] $applyToTransactions)
Set apply to transactions


| 1 | /* | |
| 2 | * Licensed to the Apache Software Foundation (ASF) under one or more | |
| 3 | * contributor license agreements. See the NOTICE file distributed with | |
| 4 | * this work for additional information regarding copyright ownership. | |
| 5 | * The ASF licenses this file to You under the Apache License, Version 2.0 | |
| 6 | * (the "License"); you may not use this file except in compliance with | |
| 7 | * the License. You may obtain a copy of the License at | |
| 8 | * | |
| 9 | * http://www.apache.org/licenses/LICENSE-2.0 | |
| 10 | * | |
| 11 | * Unless required by applicable law or agreed to in writing, software | |
| 12 | * distributed under the License is distributed on an "AS IS" BASIS, | |
| 13 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| 14 | * See the License for the specific language governing permissions and | |
| 15 | * limitations under the License. | |
| 16 | */ | |
| 17 | ||
| 18 | package org.apache.commons.math3.analysis.solvers; | |
| 19 | ||
| 20 | import org.apache.commons.math3.analysis.differentiation.DerivativeStructure; | |
| 21 | import org.apache.commons.math3.analysis.differentiation.UnivariateDifferentiableFunction; | |
| 22 | import org.apache.commons.math3.exception.TooManyEvaluationsException; | |
| 23 | ||
| 24 | /** | |
| 25 | * Provide a default implementation for several functions useful to generic | |
| 26 | * solvers. | |
| 27 | * | |
| 28 | * @since 3.1 | |
| 29 | * @version $Id$ | |
| 30 | */ | |
| 31 | public abstract class AbstractUnivariateDifferentiableSolver | |
| 32 | extends BaseAbstractUnivariateSolver<UnivariateDifferentiableFunction> | |
| 33 | implements UnivariateDifferentiableSolver { | |
| 34 | ||
| 35 | /** Function to solve. */ | |
| 36 | private UnivariateDifferentiableFunction function; | |
| 37 | ||
| 38 | /** | |
| 39 | * Construct a solver with given absolute accuracy. | |
| 40 | * | |
| 41 | * @param absoluteAccuracy Maximum absolute error. | |
| 42 | */ | |
| 43 | protected AbstractUnivariateDifferentiableSolver(final double absoluteAccuracy) { | |
| 44 | super(absoluteAccuracy); | |
| 45 | } | |
| 46 | ||
| 47 | /** | |
| 48 | * Construct a solver with given accuracies. | |
| 49 | * | |
| 50 | * @param relativeAccuracy Maximum relative error. | |
| 51 | * @param absoluteAccuracy Maximum absolute error. | |
| 52 | * @param functionValueAccuracy Maximum function value error. | |
| 53 | */ | |
| 54 | protected AbstractUnivariateDifferentiableSolver(final double relativeAccuracy, | |
| 55 | final double absoluteAccuracy, | |
| 56 | final double functionValueAccuracy) { | |
| 57 | super(relativeAccuracy, absoluteAccuracy, functionValueAccuracy); | |
| 58 | } | |
| 59 | ||
| 60 | /** | |
| 61 | * Compute the objective function value. | |
| 62 | * | |
| 63 | * @param point Point at which the objective function must be evaluated. | |
| 64 | * @return the objective function value and derivative at specified point. | |
| 65 | * @throws TooManyEvaluationsException | |
| 66 | * if the maximal number of evaluations is exceeded. | |
| 67 | */ | |
| 68 | protected DerivativeStructure computeObjectiveValueAndDerivative(double point) | |
| 69 | throws TooManyEvaluationsException { | |
| 70 |
1
1. computeObjectiveValueAndDerivative : removed call to org/apache/commons/math3/analysis/solvers/AbstractUnivariateDifferentiableSolver::incrementEvaluationCount → KILLED |
incrementEvaluationCount(); |
| 71 |
1
1. computeObjectiveValueAndDerivative : mutated return of Object value for org/apache/commons/math3/analysis/solvers/AbstractUnivariateDifferentiableSolver::computeObjectiveValueAndDerivative to ( if (x != null) null else throw new RuntimeException ) → KILLED |
return function.value(new DerivativeStructure(1, 1, 0, point)); |
| 72 | } | |
| 73 | ||
| 74 | /** | |
| 75 | * {@inheritDoc} | |
| 76 | */ | |
| 77 | @Override | |
| 78 | protected void setup(int maxEval, UnivariateDifferentiableFunction f, | |
| 79 | double min, double max, double startValue) { | |
| 80 |
1
1. setup : removed call to org/apache/commons/math3/analysis/solvers/BaseAbstractUnivariateSolver::setup → KILLED |
super.setup(maxEval, f, min, max, startValue); |
| 81 | function = f; | |
| 82 | } | |
| 83 | } | |
Mutations | ||
| 70 |
1.1 |
|
| 71 |
1.1 |
|
| 80 |
1.1 |


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Getting Started¶
Welcome to Music Embedding! We will go through some basic concepts in this short tutorial.
Hint
Be sure you have Music Embedding installed. To install Music Embedding, please run pip install music_embedding
.
Hint
In this tutorial, we will use Pypianoroll to convert MIDI files into pianorolls. To install Pypianoroll, please run pip install pypianoroll
.
Hint
In the tutorial, we will use this MIDI file as an example.
First of all, let’s import the pypianoroll library and interval and embedder modules from music_embedding library.
from music_embedding import interval, embedder
import pypianoroll
Now, let’s read the example MIDI file into a Multitrack object.
multitrack = pypianoroll.read("music embedding example.mid")
Let’s create an embedder object and use it to get the melodic intervals of the first track.
embedder_object = embedder.embedder()
melodic_intervals = embedder_object.get_melodic_intervals_from_pianoroll(multitrack.tracks[0])
print(melodic_intervals.shape)
Here’s what we got:
(384, 4)
The MIDI file we used has 4 4-beat bars. Pypianoroll assigns 24 pixels to each beat, so total number of pixels is 4*4*24 = 384, which is the first dimension of our melodic intervals
. Music Embedding implements intervals using 4-dimension vectors, which is the second dimension of melodic_intervals
. These features are:
- interval_order: int
first to seventh
- interval_type: int
-2: dim, -1: min, 0: perfect, 1: Maj, 2: Aug
- octave_offsetint8
octave offset of a compound interval, 0 if interval is not compund
- is_descendingboolean
true if interval is descending
Let’s create an interval object and use it to see the first 30 intervals in melodic_intervals
.
interval_object = interval.interval()
for i in range(30):
interval_object.set_specs_list(melodic_intervals[i])
print(interval_object)
The output is:
Silence
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
Maj 2nd
perfect 1st
perfect 1st
perfect 1st
perfect 1st
perfect 1st
Melodic intervals are defined as the relatation between two consequtive notes. Since there is no note before the very first note, the very first note is shown as silence.
Hint
When converting melodic intervals to pianorolls, argument origin
defines the first note and everything will be calculated based on that.
Since each note is stretched through multiple pianoroll pixels, when converted into intervals, each note appears as its true interval followed by multiple perfect 1st intervals. Let’s fix this by applying Run-Length Encoding:
melodic_intervals_rle = embedder_object.get_RLE_from_intervals(melodic_intervals)
print (melodic_intervals_rle.shape)
Here’s what we got:
(46, 5)
The first dimension is the compressed 384 that we had before. The second dimension contains the four features of an interval plus the fifth dimension which shows how many repeatitions are summerized into one. Let’s get a closer look:
print('Count \t interval')
print('-' * 17)
for i in range(melodic_intervals_rle.shape[0]):
interval_object.set_specs_list(melodic_intervals_rle[i, : -1])
print(f'{melodic_intervals_rle[i,-1]} \t\t {interval_object}')
The output is:
Count interval
-----------------
1 Silence
23 perfect 1st
1 Maj 2nd
23 perfect 1st
1 Maj 2nd
23 perfect 1st
1 min 2nd
23 perfect 1st
1 Maj 2nd
23 perfect 1st
1 Maj 2nd
23 perfect 1st
1 Maj 2nd
23 perfect 1st
1 min 2nd
22 perfect 1st
1 Silence
12 perfect 1st
1 Descending perfect 8th
11 perfect 1st
1 Maj 7th
23 perfect 1st
1 Descending Maj 2nd
11 perfect 1st
1 Descending Maj 6th
11 perfect 1st
1 perfect 5th
23 perfect 1st
1 Descending Maj 2nd
11 perfect 1st
1 Descending min 3rd
11 perfect 1st
1 Maj 2nd
23 perfect 1st
1 Descending Maj 2nd
11 perfect 1st
1 Descending perfect 5th
5 perfect 1st
1 Maj 2nd
5 perfect 1st
1 Maj 2nd
5 perfect 1st
1 min 3rd
5 perfect 1st
1 Descending Maj 2nd
11 perfect 1st


Most popular books of jokes and riddles from Amazon
Here you can browse, comment on, and order online the most popular humor books
from Amazon bookstore. The books are usually available at a considerable discount from the list price.
- 1. The Musician's Joke Book : Knowing the Score
- N. J. Groce / Paperback / Published 1996
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- 2. Cyber Jokes : The Funniest Stuff on the Internet
- Doug Mayer (Editor) / Paperback / Published 1996
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- 3. Comedy Comes Clean : A Hilarious Collection of Wholesome Jokes, Quotes and One-Liners
- Adam Christing (Compiler) / Paperback / Published 1996
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- 4. The Best Little Book of One-Liners (Running Press Miniature Editions)
- Henny Youngman / Hardcover / Published 1992
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- 5. The Yiddish Are Coming!
- Robyn M. Cohen, et al / Paperback / Published 1994
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- 6. The Giant Book of Insults : Incorporating 2000 Insults for All Occasions and 2000 More Insults
- Louis A. Safian / Paperback / Published 1991
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- 7. Great One-Liners
- Gene Perret, Terry Perret Martin / Hardcover / Published 1992
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- 8. The Best of Gross Jokes (Gross Jokes Series , Vol 1) Vol 1
- Julius Alvin / Mass Market Paperback / Published 1996
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- 9. The Exeter Book Riddles (Penguin Classics)
- Kevin Crossley-Holland (Translator) / Paperback / Published 1993
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- 10. Outhouse Humor : A Collection of Jokes, Stories, Songs, and Poems About Outhouses and Thundermugs, Corncobs and Honey-Dippers, Wasps and Spiders, and
- Billy Ed Wheeler, et al / Paperback / Published 1988
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- 11. A Megabyte of Computer Jokes : (Joke Books)
- Bill Stott / Hardcover / Published 1995
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- 12. Book of Laughs (The Baby-Sitters Little Sister)
- Ann M. Martin / Paperback / Published 1997
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- 13. The Best American Humor 1994
- Moshe Waldoks (Editor) / Paperback / Published 1994
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- 14. Terribly Gross Jokes Vol 19
- Julius Alvin / Mass Market Paperback / Published 1995
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- 15. Hilarious One-Liners
- Gene Perret (Editor), et al / Paperback / Published 1996
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- 16. Ten Thousand Jokes, Toasts and Stories
- Lewis Copeland / Hardcover / Published 1965
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- 17. The World's All-Time Best Collection of Good Clean Jokes
- Bob Phillips / Hardcover / Published 1996
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- 18. 2,000 More Insults
- Louis A. Safian / Mass Market Paperback / Published 1987
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- 19. A Portfolio of Business Jokes, Mini ed.
- Hardcover / Published 1992
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- 20. A Treasury of Humor II
- Eric W. Johnson / Mass Market Paperback / Published 1994
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- 21. A Treasury of Humor : An Indexed Collection of Anecdotes
- Eric W. Johnson / Mass Market Paperback / Published 1990
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- 22. Golf Stories & Jokes for Speakers (Foulsham Know How)
- Geoffrey Matson (Compiler) / Paperback / Published 1993
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- 23. 250 Funniest Office : Jokes, Memos, & Cartoon Pinups Vol 2
- Adam Warlock / Paperback / Published 1995
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- 24. Unbearably Gross Jokes Vol 22
- Julius Alvin / Mass Market Paperback / Published 1996
(Publisher Out Of Stock)
- 25. Games Rednecks Play
- Jeff Foxworthy, Vic Henley / Paperback / Published 1995
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- 26. The Penguin Dictionary of Jokes, Wisecracks, Quips, and Quotes
- Fred Metcalf (Compiler) / Paperback / Published 1996
Amazon Price: $9.56 ~ You Save: $2.39 (20%)
- 27. 250 Funniest Office Jokes, Memos and Cartoon Pinups Vol 1
- Adam Warlock / Paperback / Published 1993
Amazon Price: $10.36 ~ You Save: $2.59 (20%)
- 28. Behind the King's Kitchen Door; A Roster of Rhyming Riddles
- William J. Smith / Hardcover / Published 1992
Amazon Price: $13.27 ~ You Save: $5.68 (30%)
- 29. You Know You're Middle-Aged When...
- G. Gaynor McTigue / Mass Market Paperback / Published 1994
(Publisher Out Of Stock)
- 30. Best of Gross Jokes Vol 2
- Julius Alvin / Mass Market Paperback / Published 1997
Amazon Price: $3.99 ~ You Save: $1.00 (20%)
- 31. The Dumb, Dumber, Dumbest Joke Book
- Larry Wilde / Mass Market Paperback / Published 1996
Amazon Price: $3.99 ~ You Save: $1.00 (20%)
- 32. That's Funny : A Compendium of over 1,000 Great Jokes from Today's Hottest Comedians
- Michael Cader / Paperback / Published 1996
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- 33. The Wall Street Joke Book
- Four Anonymous Wall Street Guys / Paperback / Published 1997
Amazon Price: $6.36 ~ You Save: $1.59 (20%)
- 34. Cal 97 365 Original Jokes, Puns and Riddles
- Calendar / Published 1996
Amazon Price: $7.16 ~ You Save: $1.79 (20%)
- 35. The Best of 606 Aggie Jokes
- Paperback
Amazon Price: $6.36 ~ You Save: $1.59 (20%)
- 36. Wildly Gross Jokes
- Julius Alvin / Mass Market Paperback / Published 1996
Amazon Price: $3.99 ~ You Save: $1.00 (20%)
- 37. The O.J. Joke Book : How Many O.J. Jokes Does It Take to Turn a Stomach : A Compilation of the Best of the Worst O.J. Jokes
- Paperback / Published 1995
Amazon Price: $3.96 ~ You Save: $0.99 (20%)
- 38. Library of Laughter
- Larry Wilde / Mass Market Paperback / Published 1993
Amazon Price: $3.99 ~ You Save: $1.00 (20%)
- 39. Infinitely Gross Jokes Vol 18
- Julius Alvin / Mass Market Paperback / Published 1994
Amazon Price: $3.19 ~ You Save: $0.80 (20%)
- 40. Joke and Riddle Bonanza
- Michael J. Pellowski, Sanford Hoffman (Illustrator) / Paperback / Published 1996
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- 41. A Bouquet of Wedding Jokes, Mini ed.
- Hardcover / Published 1992
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- 42. The Grossest Joke Book Ever (Avon Camelot Book)
- Paul Brewer (Illustrator) / Paperback
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- 43. Over Fifty's Jokes
- Bill Stott / Hardcover / Published 1994
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- 44. Truly Tasteless Disadvantaged White Male Jokes
- Blanche Knott / Mass Market Paperback
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- 45. Riddles, Riddles, Riddles
- Darwin A. Hindman (Editor), Larry Daste / Paperback / Published 1997
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- 46. Random House Book of Jokes and Anecdotes
- Joe Claro (Editor) / Paperback / Published 1996
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- 47. The Monster Joke Book
- Gordon Hill (Compiler) / Paperback / Published 1994
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- 48. Jokes for Women Only
- Susan Savannah / Paperback / Published 1991
Amazon Price: $4.95 + $2.35 special surcharge (Back Ordered)
- 49. The Little Giant Book of Knock-Knocks
- Charles Keller, Jeff Sinclair (Illustrator) / Paperback / Published 1997
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- 50. Best Riddle Book Ever
- Charles Keller, Jeff Sinclair (Illustrator) / Hardcover / Published 1997
Amazon Price: $10.46 ~ You Save: $4.49 (30%)
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THis is IMOUND.WELCOME !!!! Abhinav Akash Harshad and Sambasiva from BU. Hey there ATT Hackathon. Pleased to be here.
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I'd love your feedback!
Swing by for a cup of , or leave us a note:


{% extends "auth/base.html" %} {% import "bootstrap/wtf.html" as wtf %} {% block page_content %}
This section gives information on which user and group owns the project. Only dashboard admin and group managers can manage edit group members and access. This must be done in the admin section of the dashboard.
| Project ID | {{ project.id }} |
| Project Name | {{ project.name }} |
| Project Owner | {{ project.owner.username }} |
| Project Group | {{ project.group.name }} |


The
Tipping
Point
Lessons from Australia's Port Arthur Massacre
The Port Arthur Massacre
In 1996, Martin Bryant armed himself with a semi-automatic rifle with a 30 round magazine, and set about on a shooting spree killing 35 people in Port Arthur, a town in Tasmania, Australia. He traveled from his home to several different locations where he shot and killed innocent men, women, and children along the way. This is a map of the chronology of that day.
Move the slider forward to let the story unfold.
Port Arthur Massacre 10 year anniversary memorial service - survivors and family/friends placing candles
Australia vs US
In response to the 1996 Port Arthur Massacre, Australia swiftly in enacted stricter gun regulations. Among these regulations were a 28-day waiting period for gun purchases, new requirements for gun licenses, a national firearm registry, and the banning of automatic and semiautomatic firearms. By 1998 gun deaths had dropped by 28%, and as of 2015 gun deaths had dropped by 67% compared with 1996 numbers. Meanwhile, gun deaths in the US have hovered at around 10 times Australia's 2015 numbers per capita. The available data for US firearm ownership and death by firearm is extremely lacking when compared to Australia. Much more research is needed.
In Sydney, thousands of banned firearms were collected in 1997 as part of the Australian government's buyback program after the 1996 Port Arthur Massacre
Comparing Gun Data In the USA
Take a Closer Look
Gun Ownership(% of total population):
Gun Death Rates(per 100,000):
Giffords Law Center Gun Grade:
Guns & Ammo State Rank:
Makeshift memorial outside Marjory Stoneman Douglas High School after the February 14th shooting that claimed 17 lives


Front-end code in one or more languages, e.g. HTML, JavaScript, Java, etc. API / back-end code in one or more languages, e.g. Ruby, Java, Python, etc. Understanding, creating, manipulating, and querying databases.
Analyze user needs and software requirements to determine feasibility of design within time and cost constraints.Modify existing software to correct errors, allow it to adapt to new hardware, or to improve its performance.
Review requirements specifications and technical design documents to provide timely and meaningful feedback. Estimate, prioritize, plan, and coordinate testing activities.
Courses: Computer vision and Images processing, Intro to MRI, Detection and Estimation I, MIMO Wireless communication,
Communication Electronics, and Analysis of Algorithms.
Grade: 3.91/4.00
Courses: Computer Vision, Robotic, Digital Systems Microprocessors, Systems Engineering Analysis,
Discrete-Time Signal Processing, Digital Communications,Networked Information Systems.
Grade: Distinction. Graduated with Second Class Honours Division A.
Courses: Algorithms, Data Structure, Signal and System, Computer Architecture, Engineering mechanics and Web Development.
Grade: 3.52/4.00.


This example shows how to integrate RobotlegsJS framework with PixiJS. Click on the logo to see some action!
RobotlegsJS
PixiJS


--- layout: default footerlogos: yes title: "Speaker" lang: en ---
Vanessa Wormer is a data journalist at Süddeutsche Zeitung in Munich and was an integral part to the Panama Papers research. She was voted Journalist of the Year together with her colleagues Bastian Obermayer and Frederik Obermaier. In the summer of 2015 she completed the Lede Program in Data Science at Columbia University in New York. Previously Vanessa was an editor at Heilbronner Stimme. In Heilbronn she advocated Open Data as a member of Code for Germany.
The photo was taken by Stephanie Füssenich.
Vanessa will give a lecture on »Structure instead of Anecdotes: How data creates Knowledge« on 28.04.2017
Program for the first day


--- layout: post date: 2008-06-03 time: "09:00:00" authors: ["Greg Wilson"] title: Three Weeks and Change tags: ["MathWorks"] ---
Everyone's making good progress:
Oh, and it looks like I'm going to get a grant from The MathWorks to upgrade the Software Carpentry course and find out what scientists are actually doing with computers — more on that once I know whether Sadie and I have bought a house or not.


-
Task
Deadline
-
Go to Gymm
2019-06-20
-
Plan Anna's birthday party
2019-08-12
-
Buy concert tickets
2019-07-24
Task
Deadline
Go to Gymm
2019-06-20
Plan Anna's birthday party
2019-08-12
Buy concert tickets
2019-07-24


Some information about you!
More Information
A place to include any other types of information that you'd like to include about yourself.
Some information about you!
A place to include any other types of information that you'd like to include about yourself.


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Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation
Ju He,
Jie-Neng Chen,
Mingxian, Lin,
Qihang Yu,
Alan Yuille
CVPR, 2023
PDF (Coming soon) /
Code (Coming soon)
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CORL: Compositional Representation Learning for Few-Shot Classification
Ju He,
Adam Kortylewski,
Alan Yuille
WACV, 2023
PDF
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PartImageNet: A Large, High-Quality Dataset of Parts
Ju He,
Shuo Yang,
Shaokang Yang,
Adam Kortylewski,
Xiaoding Yuan,
Jie-Neng Chen,
Shuai Liu,
Cheng Yang,
Qihang Yu,
Alan Yuille
ECCV, 2022
PDF /
Code
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OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images
Bingchen Zhao,
Shaozuo Yu,
Wufei Ma,
Mingxin Yu,
Shenxiao Mei,
Angtian Wang,
Ju He,
Alan Yuille,
Adam Kortylewski
ECCV, 2022   Oral
PDF /
Project Page
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TransMix: Attend to Mix for Vision Transformers
Jie-Neng Chen,
Shuyang Sun,
Ju He,
Philip Torr,
Alan Yuille,
Song Bai
CVPR, 2022
PDF /
Code
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Learning from Temporal Gradient for Semi-supervised Action Recognition
Junfei Xiao,
Longlong Jing,
Lin Zhang,
Ju He,
Qi She,
Zongwei Zhou,
Alan Yuille,
Yingwei Li
CVPR, 2022
PDF
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Rethinking Re-Sampling in Imbalanced Semi-Supervised Learning
Ju He,
Adam Kortylewski,
Shaokang Yang,
Shuai Liu,
Cheng Yang,
Changhu Wang,
Alan Yuille
arXiv preprint, 2021
PDF /
Code
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TransFG: A Transformer Architecture for Fine-grained Recognition
Ju He,
Jie-Neng Chen,
Shuai Liu,
Adam Kortylewski,
Cheng Yang,
Yutong Bai,
Changhu Wang,
Alan Yuille
AAAI, 2022
PDF /
Code
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Compositional Generative Networks and Robustness to Perceptible Image Changes
Adam Kortylewski,
Ju He,
Qing Liu,
Christian Cosgrove,
Chenglin Yang,
Alan Yuille
CISS, 2021
PDF
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Semi-synthesis: A fast way to produce effective datasets for stereo matching
Ju He*,
Enyu Zhou*,
Liusheng Sun,
Fei Lei,
Chenyang Liu,
Wenxiu Sun
CVPRW on Autonomous Driving, 2021
PDF
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Compositional Convolutional Neural Networks: A Deep Architecture with Innate Robustness to Partial Occlusion
Adam Kortylewski,
Ju He,
Qing Liu,
Alan Yuille
CVPR, 2020
PDF /
Code /
Supplementary /
Video
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POINT CLOUD ATTRIBUTE INPAINTING IN GRAPH SPECTRAL DOMAIN
Ju He,
Zeqing Fu,
Wei Hu,
Zongming Guo
ICIP, 2019   Oral
PDF
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Experience
- Research Intern, TikTok, Apr. 2023 - Present
- Research Intern, Meta, May. 2022 - Nov. 2022
- Research Intern, ByteDance, Jan. 2021 - May. 2022
- Research Intern, SenseTime Research, Jul. 2020 - Dec. 2020
- Research Intern, Johns Hopkins University, Jun. 19 - Nov. 2019
- Research Intern, Peking University, Sep. 2018 - Jun. 2020
- Research Intern, Momenta, Jun. 2018 - Oct. 2018
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Last update: Apr. 2023      Template
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Banksy reveals new art on Instagram with video of homeless man lying on Birmingham bench
The reindeer mural has been painted on a Vyse Street brick wall
by Conor GogartyBanksy has painted a new mural in Birmingham - and he revealed it by posting a poignant video of a homeless man on Instagram.
The anonymous Bristolian artist has painted the piece on a Vyse Street brick wall in Birmingham's Jewellery Quarter.
Footage posted to Banksy's Instagram page today (December 9) shows a homeless man called Ryan having a drink before settling down on a bench next to a bin.
The camera moves back to reveal a mural of reindeer, who appear ready to lift Ryan into a starry sky.
The Instagram message reads: “God bless Birmingham. In the 20 minutes we filmed Ryan on this bench passers-by gave him a hot drink, two chocolate bars and a lighter - without him ever asking for anything. #Banksy."
A host of passers-by have been pictured posing on the bench since the painting appeared.
Banksy first made his name in the 1990s when he broke out onto Bristol's underground graffiti scene.
His largest canvas painting was unveiled in Bristol Museum in March, almost a decade after it was last shown there.
'Devolved Parliament', which shows the House of Commons filled with chimps, was displayed in the museum until September.
For the latest news in and around Bristol, visit and bookmark Bristol Live's homepage.


Express Response
Error Response
Data to parse
Returns an Error Response and hide them from the client
Express Response
Error Object
Sends an {message:'OK'} response
Express Response
Returns a valid response if the data is not null, otherwise and Error
Express Response
JSON data
Generated using TypeDoc
Returns the right json response or Error


IT-4
FAMILY
menu
Home
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FAMILY
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Resources for San Francisco's Data Coordinators
This portal is designed to help you, as a City Data Coordinator, orient to your role and make sure you have the resources you need to execute on your responsibilities.
The data coordinator is responsible for:
In addition to the responsibilities, data coordinators will be supported in the work through:
Submit publishing plans for review. Learn how to submit a publishing plan for review in the Data Coordinator's guidebook.
Below are resources most relevant for data coordinators. You can view all DataSF resources by clicking here.
1 page flyer describing the Open Data Program. Use it to explain DataSF to your City colleagues.
1 page flyer explaining the 3 step data inventory process.
Guidebook for City and County of San Francisco data coordinators.
Provides data coordinators with detailed guidance on steps 2 and 3 of the data inventory.
Excel template for completing the dataset inventory. Note: You must enable macros for the template to work.
This webinar covers the tools available for San Francisco Data Coordinators to complete the dataset inventory.
1 page flyer explaining the personal data request process.
Toolkit for City and County of San Francisco department management and Data Coordinators to release sensitive or protected datasets on the open data portal.
Guide for City and County of San Francisco departments and agencies to implement a process to provide individuals with their own personal data upon request.


title = "News" url = "/news" layout = "default" is_hidden = 0 [newsPosts] pageNumber = "{{ :page }}" postsPerPage = 10 noPostsMessage = "No posts found" sortOrder = "published_at desc" postFeatured = 0 postPage = "news/post" ==


Back to index page
Enjoy Editing Your Survey
Question Type
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Greetings at the beginning
POST


Is this a new field that the request submitter assigns? Or is it additional categories for the existing "Travel Category" field that administrators assign?
labeled
by Max Kadel at 2023-06-01 16:03:41.assigned
by Jane Sandberg at 2023-06-01 21:48:44.Blake is confirming plugin version, timeout parameter, user, and sftp host.
Looked at the logs with Francis. Asked Blake to trigger an ad-hoc export so we can better observe it in the logs, in particular to see what group it logs.
Also asked Blake about
F, [2023-05-31T19:50:16.521716 #738] FATAL -- : app/controllers/application_controller.rb:744:in `set_locale'
/archivesspace/plugins/timewalk/gems/gems/timetwister-0.2.7/lib/timetwister/utilities.rb:10: warning: constant ::Fixnum is deprecated
--we've had another plugin get in the way before, so following that breadcrumb. It could be that we don't have timewalk on staging and that's why it hasn't been an issue up to now, or it could be that this is a red herring altogether.
Next step if those don't pan out is to revert back to aspace-staging, and possibly to make sure timewalk is in the same state on staging, and run the same tests again.
Confirmed--we DON'T have timewalk on staging.
deployed to prod 5/31.
closed
by Kevin Reiss at 2023-05-31 23:28:34.unassigned
by Christina Chortaria at 2023-06-01 13:56:35.labeled
by Kevin Reiss at 2023-06-01 13:58:11.Test with tunneling and going to /byzantine
rather than /
Looks like the issue is in /etc/apache2/sites-enabled/000-default.conf
: the jammy server is missing:
Alias /byzantine /var/www/byzantine/current
referenced
by Jane Sandberg at 2023-06-01 18:20:12.merged
by Jane Sandberg at 2023-06-01 18:20:12.closed
by Jane Sandberg at 2023-06-01 18:20:12.head_ref_deleted
by Jane Sandberg at 2023-06-01 18:20:13.labeled
by Liz Garcia at 2023-06-01 14:51:38.referenced
by None at 2023-06-01 20:54:45.merged
by None at 2023-06-01 20:54:45.closed
by None at 2023-06-01 20:54:45.head_ref_deleted
by None at 2023-06-01 20:54:46.labeled
by None at 2023-06-01 15:19:37.labeled
by None at 2023-06-01 15:19:37.renamed
by None at 2023-06-01 15:20:02.assigned
by James R. Griffin III at 2023-06-01 13:04:54.renamed
by None at 2023-06-01 13:53:03.labeled
by None at 2023-06-01 14:07:45.labeled
by None at 2023-06-01 14:07:46.I met with Keith Martin today from IAM. Summarizing some information here:
mentioned
by Kevin Reiss at 2023-06-01 16:47:28.subscribed
by Kevin Reiss at 2023-06-01 16:47:28.mentioned
by None at 2023-06-01 16:47:28.subscribed
by None at 2023-06-01 16:47:28.labeled
by Trey Pendragon at 2023-06-01 17:37:35.labeled
by Trey Pendragon at 2023-06-01 17:37:43.Still happening: https://maps.princeton.edu/catalog/princeton-fq977x249
reopened
by Trey Pendragon at 2023-06-01 17:58:29.The maps group sees providing this content as a core use case - maybe we can do this as a MULE ticket in the future? @kelea99
labeled
by Trey Pendragon at 2023-06-01 17:34:41.mentioned
by Kim Leaman at 2023-06-01 18:07:08.subscribed
by Kim Leaman at 2023-06-01 18:07:08.labeled
by Kim Leaman at 2023-06-01 18:08:34.assigned
by None at 2023-06-01 14:08:06.labeled
by Trey Pendragon at 2023-06-01 21:23:18.labeled
by Trey Pendragon at 2023-06-01 21:23:18.labeled
by Trey Pendragon at 2023-06-01 21:23:18.ready_for_review
by Robert-Anthony Lee-Faison at 2023-06-01 19:56:01.referenced
by Jane Sandberg at 2023-06-01 19:56:31.merged
by Jane Sandberg at 2023-06-01 19:56:31.closed
by Jane Sandberg at 2023-06-01 19:56:31.head_ref_deleted
by Jane Sandberg at 2023-06-01 19:56:32.referenced
by Jane Sandberg at 2023-06-01 20:17:59.merged
by Jane Sandberg at 2023-06-01 20:17:59.closed
by Jane Sandberg at 2023-06-01 20:17:59.head_ref_deleted
by Jane Sandberg at 2023-06-01 20:18:00.labeled
by Kevin Reiss at 2023-06-01 18:37:04.labeled
by Kevin Reiss at 2023-06-01 18:37:09.Request made 5/31.
labeled
by Kevin Reiss at 2023-06-01 14:56:02.coverage: 95.385% (+0.02%) from 95.368% when pulling 4f4e7002ce5a7cfb1956bea567980cd64fb2ddac on 3572-rate-limit-sitemap into a3abe04850c10d3e99c33f674c926814878e619b on main.
closed
by Max Kadel at 2023-06-01 15:22:42.assigned
by Christina Chortaria at 2023-06-01 15:26:21.renamed
by Max Kadel at 2023-06-01 15:40:51.ready_for_review
by Chun Ly at 2023-06-01 19:58:31.referenced
by Chun Ly at 2023-06-01 20:06:44.merged
by Chun Ly at 2023-06-01 20:06:44.closed
by Chun Ly at 2023-06-01 20:06:44.closed
by Chun Ly at 2023-06-01 20:06:46.head_ref_deleted
by Chun Ly at 2023-06-01 20:07:31.referenced
by None at 2023-05-31 22:42:20.merged
by None at 2023-05-31 22:42:20.closed
by None at 2023-05-31 22:42:20.head_ref_deleted
by None at 2023-05-31 22:42:21.assigned
by None at 2023-06-01 12:38:37.assigned
by None at 2023-06-01 12:38:48.head_ref_force_pushed
by None at 2023-05-31 22:43:08.referenced
by Bess Sadler at 2023-06-01 12:42:27.merged
by Bess Sadler at 2023-06-01 12:42:27.closed
by Bess Sadler at 2023-06-01 12:42:27.head_ref_deleted
by Bess Sadler at 2023-06-01 12:42:28.head_ref_force_pushed
by None at 2023-06-01 12:47:21.referenced
by Hector Correa at 2023-06-01 13:14:30.merged
by Hector Correa at 2023-06-01 13:14:30.closed
by Hector Correa at 2023-06-01 13:14:30.head_ref_deleted
by Hector Correa at 2023-06-01 13:14:31.assigned
by Max Kadel at 2023-06-01 15:02:27.unassigned
by Kevin Reiss at 2023-06-01 15:26:39.referenced
by Jane Sandberg at 2023-06-01 21:35:30.merged
by Jane Sandberg at 2023-06-01 21:35:31.closed
by Jane Sandberg at 2023-06-01 21:35:31.head_ref_deleted
by Jane Sandberg at 2023-06-01 21:35:32.Work mendel staff for an update 5/31.
labeled
by Kevin Reiss at 2023-06-01 14:22:02.assigned
by Kevin Reiss at 2023-06-02 01:13:35.labeled
by Kevin Reiss at 2023-06-02 01:15:09.


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