The portfolio is generated using the following Aggregate
specification.
{{ program | safe }}
Line \(Xm1=X_{-1}\) represents reserves and \(X0=X_{0}\) new business.
Table: Loss statistics for new business and prior year reserves.
Statistics are shown on an unlimited basis, i.e. assuming unlimited InsCo assets.
New business is more volatile than reserves because it allows for uncertainty in claim occurrence as well as ultimate payment amount. In practice a prospective book may have an estimated CV between 20 and 40 percent. Reserves often have estimated CVs below 10 percent.
In the table Total assets are \(a={{a_x}}\). \(\iota\) is the input average investor cost of capital across the entire portfolio and \(\nu=1/(1+\iota)\), see Ch. 4. The premium is \(\rho(X\wedge a)\) when the insurer has assets \(a\). Levg shows the premium to surplus ratio and \(\bar Q(a)\) initial capital. Expected losses, EL, are reduced to reflect available assets.
The summary confirms pricing is calibrated to produce a {{ROE}} percent ROE at \(p={{p}}\)-VaR capital for the total portfolio.
Parameters for distortions producing a {{ROE}} percent ROE at \(p={{p}}\)-VaR capital.
{{ distortion_information | safe }}The example uses a {{dist}} distortion.
Table: Insurance metrics by line on a run-off (ro) and going-concern (gc) basis. Rows 6, 7, 8 only apply to prospective business and are shown for comparison purposes only.
shows objective and risk adjusted values for each line at the required {{p}} value at risk asset levels. The amounts are all natural allocation values. All by-line quantities sum to the total shown. Rows 6-8 compute one-period returns for each line.
Table: Premium and capital detail.
The objective and market values track from . The Difference column is the difference between Market and Objective, which corresponds to the risk margin. Equity increases from statutory to objective because of limited liability, but decreases to market because of risk margins. The latter are far more material than the former for a well capitalized company, so there is a more material difference between Market and Objective equity than between Objective and Statutory.


Description Column Plugin
Plugin Information |
|---|
View Description Column on the plugin site for more information. |
The current version of this plugin may not be safe to use. Please review the following warnings before use:
Provide job description column for views.
Configuration
Create a new view by clicking on the "+" tab, select list view as type and name it. At the bottom of the configuration page of the new view you can add the Description column.
If you want to add columns to the All view, follow the guide on the Editing or Replacing the All View wiki page.
You can optionnaly choose to trim the description to a certain amount of lines by checking the appropriate checkbox and setting the request amount.
The trimming is done on <br/> tags
Screenshots
Coming soon.
Changelog
1.3 (26 Aug, 2011)
- Allow to display the job name above the description.
- Added french localization.
1.2 (20 Aug, 2011)
- Allow to limit the number of lines to display.
- Display the full description as tooltip.
- Added help on configuration.
- Added some basic tests.
1.1 (14 Aug, 2011)
- Fix pom.xml
1.0 (13 Aug, 2011)
- initial implementation


Testimonials
❤ Show what your Customers say about you ❤
A great thing that there are many demos available otherwise all of the great implementation and features would never be used or understood the right way.
@wickdevs
themeforest.net
Simply awesome stuff. Keep up the good work.
@shadnanm
themeforest.net
Ideal for customization - easy and well written code. Well done! thank you :)
@mariachrismc
themeforest.net
You pay like 14 USD and get hundreds of design templates.
@sushi2121
themeforest.net
This template is so impressive. Every important element used in modern HTML5 design is included. There is so much here that it's going to take me a few days just to sort it all, but that's not a bad thing. The team who developed this deserves utmost respect for having done a terrific job. I wish you guys were working for my business! Just awesome.
@Edmund1963
themeforest.net
It includes many examples of everything, something necessary to see the value of the template without having to try to customize the template after buying it to see if it works for what you want. Very good work!
@yoelacevedo
themeforest.net
Cada vez estoy más contento con la calidad del código y las nuevas actualizaciones muy logradas y aceptables . Por supuesto la documentación inmejorable GRACIAS Un saludo Andrés Fernández
@Tridan
themeforest.net
This is an incredible design from both of what it does out of the box and the ability to modify it.
I would have liked to have individuals photoshop files for the components like the logo, but they were simple to recreate.
@biglakeweb
themeforest.net
This is an amazing HTML5 Theme, i like it. Many thanks to SemiColonWeb, good job.
@Ar_Coder
themeforest.net
The best things in life, and online, are worth waiting for :D
Thanks!
@Caamo
themeforest.net
Code quality also customer support five stars ! A real help that gets us out of isolation. This is the advantage of pro developers who do the job with passion. Thank you !
@DcRod
themeforest.net
A really great template. By far the best thing I've bought from envato in the past 8 years. Thank you and happy birthday.
@slash77
themeforest.net
Best template with multiple function and categories
@adirzl93
themeforest.net
Full of HTML elements to customize everything I need. Very well documented.
@fernandoefens
themeforest.net
Best buy so far. The designs are very SEO friendly and neat
@Jeloblis
themeforest.net
Love it. i bought this theme for an irc networks website and while i decided to go a different direction using an application style interface i am looking forward to finding a project i can use it on. well done fellas it looks great and provides many inspirational code snippets.


-> Select Your Gender:
A. Male
B. Female
C. Others
-> What is your body temprature:
A. Less than 98
B. Between 98 and 100
C. Between 100 and 102
D. Above 102
-> Are you having difficulty in breathing:
A. Yes, sevearly
B. Yes, partially
C. No
-> Do you have any travel history in last 15 days:
A. Yes, International travel
B. Yes, Domestic travel
C. No travel history
-> Are you having Bodypain:
A. Yes, Severe Body Pain
B. Yes, Mild Body Pain
C. No Body Pain
-> Are you having Cough:
A. Yes, Severe Cough
B. Yes, Mild Cough
C. No Cough
-> Are you having Throat pain:
A. Yes, Severe Throat Pain
B. Yes, Mild Throat Pain
C. No Throat Pain
-> Are you having Headache:
A. Yes, Severe Headache
B. Yes, Mild Headache
C. No Headache
-> Are you having Chest Pain:
A. Yes, Severe Chest Pain
B. Yes, Mild Chest Pain
C. No Chest Pain
-> Are you having any previous disease like sugar/cancer/heart problems:
A. Yes
C. No
-> Do you feel like Vomiting:
A. Yes
C. No
-> What is your Oxygen Level:
A. Greater than 100
B. Between 60 to 100
C. Less than 60


Tips and tricks is all about helping familes dealing with bullies at school and at home. we show to all ages that its okay to talk to other people, and that your not alone within the website blog section.
The most recent and most poupular posts and comments! (so far)
click to go to blog page!


|
Totally Not Mario 2D!
1.0
LCOM 2020/2021 T08G01
|
#include "game_physics.h"
#include "devices.h"
#include "i8042.h"
#include "i8254.h"
#include "tiles.h"
#include "rtc.h"
Go to the source code of this file.
Functions | |
| void | ih (game *Game) |
| Handles the overall game, by handling the inturrupts from the keyboard, mouse and timer. More... | |
| void | game_func (char filepath[]) |
| Only function needed to be called to run a game. More... | |


|
ValidateThis API Documentation | ||||
| FRAMES |
WEB-INF.cftags.component ValidateThis.core.BaseMetadataProcessor
public class BaseMetadataProcessor
I am a responsible for reading and processing an XML file.
| Constructor Summary | |
|---|---|
init()
I build a new metadataprocessor |
| Method Summary | |
|---|---|
private string |
determineLabel(string label)
|
struct |
getValidations(string objectType, any metadataSource)
I return the processed metadata in a struct that is expected by the BOValidator |
void |
loadRules(string objectType, any metadataSource)
I read the validations XML file and reformat it into a struct |
private void |
processConditions(any conditions)
I process condition metadata |
private void |
processContexts(any contexts)
I process context metadata |
private any |
processPropertyDescs(any properties)
I process property descriptions |
private any |
processPropertyRules(string objectType, any properties)
I process property rules |
| Methods inherited from class WEB-INF.cftags.component |
|---|
|
| Constructor Detail |
|---|
public init()
| Method Detail |
|---|
private string determineLabel(string label)
label
public struct getValidations(string objectType, any metadataSource)
objectType
- the type of object for which a BOValidator is being createdmetadataSource
- the source of the metadata - may be a filename or a metadata structpublic void loadRules(string objectType, any metadataSource)
objectType
- the type of object for which a BOValidator is being createdmetadataSource
private void processConditions(any conditions)
conditions
private void processContexts(any contexts)
contexts
private any processPropertyDescs(any properties)
properties
private any processPropertyRules(string objectType, any properties)
objectType
- the type of object for which a BOValidator is being createdproperties
|
ValidateThis API Documentation | ||||
| FRAMES |


5 Easy Tips to Rock Your Webcam
Getting on camera can make all the difference to your meetings. Turn on your webcam and rock it with our 5 tips.
 We are involved in remote meetings, Zoom calls and virtual workshops. It is tempting to shy away from using our webcams and just rely on audio, but the benefits of using your webcam well far outweigh the discomfort of ‘being on camera’.
The more you use your webcam, the more relaxed you will become with it. So, get friendly with your webcam and get used to being the star of your own show! Here are some tips to help you out. (By the way, these tips have all been generated from lessons I have learned from getting it right/wrong myself!)
Need help with Virtual training, on a platform of your choice? We are here to help.
1. Location, Location, Location
If you are using a webcam that is not integral to your screen - i.e. one that sits on top of your laptop or PC then you have the luxury of positioning it in a location that works best for you. Where on the screen are you likely to spend most of your time looking? When running virtual training workshops, I spend most of my time looking at the list of names and faces on the top right hand corner of my screen. So that is where I position my webcam. It makes it easier to switch my view from webcam to names without it being obvious.
Also, if you are using a laptop then this often means you are looking down at the camera. Firstly, this is not the most flattering look for you (think double-chins), and secondly, it is not too comfortable. Try lifting your laptop up higher (even on to a pile of books) and you will be able to sit taller and look directly into the camera. It makes a real difference - try it and you will see.
2. Take a lesson from TV presenters
TV presenters talk to us through the camera. They look directly at us and in return we look directly back at them. We have eye contact. If somebody is talking to us but not looking at us then we engage much less. So even though it might feel a little strange at first, when you are talking, look directly at the camera. This will soon become familiar and the norm. I even find myself talking to the camera even when it is switched off!
3. Background Check
What is behind you? What can your audience see on the wall or shelf behind you? And - what does this say about you? I was delivering a virtual session recently where one of the participants was working from home. They were having work done by builders and the only quiet room in the house was his daughter’s bedroom. The Disney Princess wallpaper behind him did little to boost his street cred. On this occasion, it was funny and created an opportunity for his colleagues to playfully rib him throughout the session.
So, what is best? A bookcase showing your intellectual reading habits? Motivational posters? Photos of you with your team? Some say just a plain white wall is the safest option.
4. Do Not Disturb
I am sure many of you have seen the hilarious clip of Professor Robert Kelly being gatecrashed by his kids whilst conducting a serious interview on the BBC. https://youtu.be/kQUcDxC5FN0
I have been gatecrashed by my cats, an electrician, giant wasps and most recently my husband wandering in to the office in his undershorts asking if I had seen his socks… (thankfully I had just turned the webcam off!!). Find a system that works for you - either a locked door or ‘do not disturb’ sign.
5. Get Professional
Take some time getting things right. Check your lighting, make sure you are well lit all around with no shadows under your nose (not a good look). Also, test your audio out beforehand. Although most webcams have built-in microphones, they are often not good enough. Do a soundcheck before your virtual meeting to ensure your volumes are set right and the mic you want to use is switched on and working.
Once you have done all of this then it is down to you to sit up straight, smile and.. lights, camera and action!


Three and half years, could you recall what you were
doing at that age? Probably not.  You were very
disobedient, insistent and if your demand was not at once fulfilled you
were crying for hours…
But what if a 3 years old toddler operates computer!
What if he could finish Microsoft Office package in 20 days!
Astonished!! It is true. He is Ansuman Das, the Limca Book of Record
holder for 2001 (Page 350) as the Youngest Software Executive of the
World.
At this age when kids can’t tell how many colors are
there, Ansuman can easily work with Microsoft Windows®, Word®, Excel®,
and PowerPoint®. Born on 27 June 1997, the only child
of Sandip Das, a USA-based software engineer and Niharika Das, a
horticulturist; Babloo as he is fondly called has a passion for
computers. Babloo was introduced to computers by his father Mr Sandip
Das.(See what he says..). Stunned
with his son Ansuman’s extraordinary curiosity in computers he took him
to the Aptech Computer Institute in Bhubaneswar, Orissa, India. Ansuman
completed the 45 days “Vidya” course in just 20 days! In May 2000 APTECH
declared Ansuman Das as the youngest computer whiz kid among all its
students in its 1500 centers in 30 countries.
At 3 years Ansuman cleared Microsoft Office® course at
kar-ROX Technologies, Bhubaneswar, Orissa, India an Authorized Technical
Education Center of Microsoft. The management team of kar-ROX were so
impressed that Babloo was awarded a Lifetime Membership Card from the
institute by which he can take any course in the institute free.
Ansuman was recently honored with the Annual National
Children’s Award 2000 by Fuel Instruments and Engineers (FIE), Pune,
India. Ansuman knows Internet browsing, Adobe Photoshop, Ulead Web
Utilities, and MS Office. He is learning Visual Basic now!!
Ansuman Das is a native of Bhubaneswar, Orissa, India.
Now he is with his parents in New Jersey, USA.


By clicking this you will be redirected to a page from where you can download the essentials required for your coding and programming.
BrowseBy clicking here you will be redirected to a page where you can see some of the topics covered on computing and some of the tricks related to it.
BrowseBy clicking here you will be redirected to a page where you will get a form to become a member of our team. You can also get subscription and take the required benefits from our site.
Browse


url.dll - FileProtocolHandler
rundll32.exe url.dll, FileProtocolHandler calc.exe
Requires admin: No
Windows binary: Yes
Bypasses AppLocker Default rules: ?
Notes:
Links:
http://www.hexacorn.com/blog/2017/05/01/running-programs-via-proxy-jumping-on-a-edr-bypass-trampoline/


Copyright © 2010-2011 Marc Worrell Date: 2010-01-15
Behaviours: gen_model.
Authors: Marc Worrell (marc@worrell.nl).
| delete/2 | Delete a comment. |
| get/2 | Fetch a specific comment from the database. |
| gravatar_code/1 | Return the gravatar code of an email address. |
| insert/5 | Insert a new comment. |
| list_rsc/2 | List all comments of the resource. |
| m_find_value/3 | Fetch the value for the key from a model source. |
| m_to_list/2 | Transform a m_config value to a list, used for template loops. |
| m_value/2 | Transform a model value so that it can be formatted or piped through filters. |
| search/3 | Return the search as used by z_search and the search model. |
| toggle/2 | Toggle the visibility of a comment, return the new visibility. |
delete(CommentId, Context) -> any()
Delete a comment. Only possible if the user has edit permission on the page.
get(CommentId::int(), Context) -> PropList
Fetch a specific comment from the database.
gravatar_code(Email) -> list()
Return the gravatar code of an email address. See also http://gravatar.com/
insert(Id::int(), Name::string(), Email::string(), Message::string(), Context) -> {ok, CommentId} | {error, Reason}
Insert a new comment. Fetches the submitter information from the Context.
list_rsc(RscId::int(), Context) -> [PropList]
List all comments of the resource.
m_find_value(Id::Key, M::Source, Context) -> term()
Fetch the value for the key from a model source
m_to_list(X1::Source, Context) -> []
Transform a m_config value to a list, used for template loops
m_value(M::Source, Context) -> term()
Transform a model value so that it can be formatted or piped through filters
search(X1, OfffsetLimit, Context) -> any()
Return the search as used by z_search and the search model.
toggle(CommentId, Context) -> any()
Toggle the visibility of a comment, return the new visibility
Generated by EDoc, Apr 11 2012, 20:41:30.


Latest Collection
Welcom to our newest collection
movie.title
movie.year
movie.genre
movie.storyline Woke edison bulb leggings bitters. Roof party copper mug cold-pressed, pug marfa kombucha distillery art party disrupt. Gentrify hexagon flannel disrupt pork belly tumblr. Flexitarian wolf edison bulb knausgaard single-origin coffee. Pok pok cornhole jianbing, sustainable la croix kickstarter 8-bit twee man bun post-ironic shoreditch. Lyft DIY fixie, glossier bespoke pok pok bushwick prism swag PBR&B kickstarter taxidermy. Pop-up actually microdosing, pok pok kickstarter etsy pug truffaut tbh. Green juice fixie chillwave mustache, fingerstache salvia next level vice shabby chic fam. Master cleanse occupy meditation hot chicken. Aesthetic direct trade food truck asymmetrical, DIY try-hard post-ironic jianbing tumblr vinyl squid. Vaporware crucifix polaroid, keytar letterpress mustache aesthetic poke man bun PBR&B flannel man braid microdosing. Tote bag kale chips iPhone, echo park heirloom you probably haven't heard of them raw denim health goth celiac hot chicken bicycle rights live-edge vice four dollar toast. Leggings blog freegan, chicharrones quinoa unicorn semiotics 90's.


Across: 1. Troublesome tin lorry gets round about America (12) 8. Collector finds injured tern on island (4 3) 9. Wild trio plays The Ring to you and me (7) 11. Tax journalist on articles in French flat (10) 12. One leaves yetis with eyesore (4) 14. Arrival of earthquake? (8) 16. Ring about half-five for nurse (6) 17. Initially you get two points, OK? (3) 19. I have pursued a test of reason (6) 21. More ants found by warehouse operative (8) 24. Eager to know about the capital of Ethiopia (4) 25. Wicklow is associated with bad spider (5 5) 27. River animals or beasts (7) 28. He awakens one by the junction of 3 rivers (7) 29. Yes, let’s print new order without stopping (12) Down: 1. Business worry (7) 2. Centre-half joins anaesthetist, if returning on May 8th (6 4) 3. Girlfriend goes round university once a year (8) 4. Central part of fleet found in area of Hull (6) 6,5. Drifters get high? (2 2 3 4) 7. 1 across person gets square Russian mint (12) 10. Good job flyer took in wayward new girl! (8 4) 13. Ran back to skiff found on canal? (10) 15. He brings back salt from France (3) 18. Cod steak cooked in compound (8) 20. Tear out article about playroom (7) 22. Humility shown by fashion house, maybe (7) 23. Loud pupil begs for bottles (6) 26. Lockers may be moved around Skye (4)


National Interest Party(NIP)
Running for: President
4 votes
Abundance Nigeria Renewal Party(ANRP)
Running for: President
4 votes
All Congress Party
Running for: President
4 votes
All Congress Party
Running for: President
4 votes
All Congress Party
Running for: President
4 votes
All Congress Party
Running for: President
4 votes


Project not found.
Zone not found.
Your Google API Project ID is incorrect or you do not have access to it. Verify the project details or check the Google Developers Console.
There are no scheduled outages.
| Name | Description | Begin Time | End Time |
|---|---|---|---|
| {{ outage.name }} | {{ outage.description }} | {{ outage.beginTime | gmt }} | {{ outage.endTime | gmt }} |
There should be an A record for each load balancer that links that load balancer's external IP to the zone's host name. This host name will be the one registered with the DoubleClick Ad Exchange and will be used in the impression and click callbacks handled by the Open Bidder. Once the zone is registered, updating zone host is not allowed. Please unregister the zone before the update.
Request URL:
http://{{ zone.hostName }}:{{ project.loadBalancerRequestPort }}/bid_request/doubleclick
Please set your Ad Exchange Buyer Account in the Edit Project page before you proceed.
You need to register your bidding zone with the DoubleClick Ad Exchange to begin receiving bid requests.
Please set your Cloud Storage URI in the Edit Project page / Configure Bidders, before you can manage your bidders and load balancers.
Load balancers running in this zone. Each balancer will automatically register all bidders, but this may take a few minutes after bidders are changed (see the balancer's Backends, in the stats page accessible from their External IP link).
Bidders running in this zone.
Note Modifying the bidder configuration under the Project will not affect running bidders. After making a change then you must terminate running bidders and launch new ones.


Pixels to SVG
Choose an image
or drag & drop here
I'm sorry, but you can't run this program with this browser.
Download SVG


Building Drake in a Docker Container¶
Introduction¶
Docker containers have emerged as a solution to running code or services in a way that is isolated from the host operating system. This allows code to be compiled and run on systems running unsupported operating systems or with incompatible configurations to the software dependencies. Docker is available for all major operating systems.
Two Docker containers are provided with Drake to allow developers to test and develop without needing to configure a supported operating system. These containers will build Drake in isolated Ubuntu 16.04 environments.
The Nvidia Dockerfile is based upon the Nvidia Docker plugin base image, which also contains CUDA support. The opensource Dockerfile is based on the the vanilla Ubuntu 16.04 image and is intended to support open source graphics card drivers such as Nouveau and Intel. Should you need to build inside of another base image (FROM line in the Dockerfile), they are available here.
Note
This docker image is provided as an experimental feature and is not presently covered by continuous integration.
However, there are downstream usages of Drake within a Docker container:
- Underactuated Robotics Drake Docker Instructions, used by many students across all nooks and crannies of Windows, Mac, Linux.
- Spartan’s Docker Build
Getting Started¶
In order to get docker installed, please follow guides specific to your operating system. The typical steps are:
- Install docker from your distribution’s package manager or official installer from Docker
- Enable Docker to run as a daemon/service
- Add appropriate users to the docker group to give permissions to interact with the Docker service
- Log out and back in to update user groups
- Happy dockering!
These steps on Ubuntu 16.04 x86_64 are:
$ wget https://download.docker.com/linux/ubuntu/dists/xenial/pool/stable/amd64/docker-ce_17.03.1~ce-0~ubuntu-xenial_amd64.deb
$ sudo dpkg -i docker-ce_17.03.1~ce-0~ubuntu-xenial_amd64.deb
$ sudo systemctl start docker
$ sudo usermod -aG docker <username>
Log out and then back in.
Building¶
Clone the Drake source code as described in Getting Drake.
The the following build commands will copy the full drake
directory
from your host machine into the Docker container where it may be built and run.
Nvidia¶
When using the Nvidia proprietary drivers:
$ cd drake
$ docker build -t drake -f setup/ubuntu/docker/xenial/Dockerfile.nvidia-cuda-8.0-devel-ubuntu16.04 .
Open Source¶
When using open source video drivers (Nouveau, Intel, …):
$ cd drake
$ docker build -t drake -f setup/ubuntu/docker/xenial/Dockerfile .
If successful, docker images
should show an image named drake and
docker ps
will show any running Docker containers on your system.
Running¶
The simplest run command is
$ docker run -it drake bash
which will give you bash shell access to the Ubuntu 16.04 Docker container where you can run commands such as:
$ bazel build //...
$ bazel test //...
These commands will build all packages using bazel and run all tests.
Graphical Interface¶
The run command in order to get graphical interfaces from the Docker container is a bit more involved. Two systems are described below one with Nvidia proprietary graphics card drivers and one with open source drivers like Nouveau and Intel.
Nvidia drivers:¶
The nvidia-docker plugin is required in order to pass Xorg drawing commands to your host system when the proprietary Nvidia GPU drivers are installed. To install Nvidia GPU drivers with apt on Ubuntu 16.04:
$ sudo apt install nvidia-361 nvidia-modprobe
To install nvidia-docker on Ubuntu 16.04:
$ wget -P /tmp https://github.com/NVIDIA/nvidia-docker/releases/download/v1.0.1/nvidia-docker_1.0.1-1_amd64.deb
$ sudo dpkg -i /tmp/nvidia-docker*.deb && rm /tmp/nvidia-docker*.deb
$ nvidia-docker run --rm nvidia/cuda nvidia-smi
$ xhost +local:root; nvidia-docker run -i --rm -e DISPLAY \
-e QT_X11_NO_MITSHM=1 -v /tmp/.X11-unix:/tmp/.X11-unix \
--privileged -t drake; xhost -local:root
The default command defined behavior will start the Drake Visualizer and run the bowling ball simulation.
Walking through this command:
xhost +local:root
will allow access for non-network connections to your local X server and pass the necessary X11 parameters for graphical display of programs within the Docker container.docker-nvidia
is an Nvidia plugin that couples with the proprietary Nvidia drivers and gives access to advanced features like CUDA.-i
assigns a tty for interactive text connections within the console.--rm
will clean up after the image, omit this to allow the container’s file system to persist.-e DISPLAY
forwards your host DISPLAY environment variable to the Docker container.-e QT_X11_NO_MITSHM=1
specifies to not use the MIT magic cookie.-v /tmp/.X11-unix:/tmp/.X11-unix
shares the host .X11 interface with the Docker container as a volume.--privileged
is only needed on selinux systems.-t drake
provides the Docker container name, andxhost -local:root
removes the permission given earlier for local non-network connections to X.
See the Docker Run Reference for more information on run options.
It is also possible to enter a bash shell for interactive development with:
$ xhost +local:root; nvidia-docker run -i --rm -e DISPLAY \
-e QT_X11_NO_MITSHM=1 -v /tmp/.X11-unix:/tmp/.X11-unix \
--privileged -t drake bash; xhost -local:root
where you may want to try various demonstrations, e.g.:
$ bazel run //examples/contact_model:bowling_ball
$ bazel run //examples/kuka_iiwa_arm:kuka_simulation
$ bazel run //examples/kuka_iiwa_arm/dev/monolithic_pick_and_place:monolithic_pick_and_place_demo
Note: these are currently not rendering properly due to VTK .obj/.mtl importing.
Open source drivers:¶
With open source graphics drivers like Nouveau and Intel you do not need the Nvidia Docker plugin.
$ xhost +local:root; docker run -i --rm -e DISPLAY \
-e QT_X11_NO_MITSHM=1 -v /tmp/.X11-unix:/tmp/.X11-unix \
--privileged -t drake; xhost -local:root
Sharing Files Between Host and Docker:¶
It is possible to interactively develop and compile within the Docker container. Several options exist for retaining code altered or generated within the Docker image:
- docker cp can be used to copy files into and out of a running image.
- -v, –volume can be used to mount a host directory inside the Docker image at the expense of file system isolation. Or you can use git commands interactively inside the container to push code changes directly to a repository.


Geraldine Maughan, 13, was struck on the legs and back when three men burst into her family home in Lisnaskea, Co Fermanagh on Saturday night.
She threw herself on top of her 11-month-old nephew as a “laughing” middle aged man belted her with the blade. Another man, believed to be one of his sons, hacked at her legs with the machete while recording the obscene attack on a mobile phone.
Slightly-built Geraldine, who had been cuddling godson John Joyce, is being treated for a range of wounds, including the deep, six inch gash.
Her sister Pauline, 20, the child’s mother, told how air was leaking from her back as she tried to breathe after the savage assault.
She said: “Her lung collapsed right away. The way she has been cut means she can’t walk now and has to learn to walk again.
“She’ll be in hospital for weeks. Her back won’t be the same for about 12 months.
“She’s very frightened from what happened. She was just sitting there and they just walked in and two of them started hitting at her.
“It’s disgraceful, grown men doing that to a girl and baby.”

Lizzy Joyce, the boy’s grandmother, appealed for “no retaliation”, saying she was looking forward to “smiling when they go to jail”.
She said her sons had left the house in Trasna Way just minutes before the machete mob arrived at around 9.15pm.
The 41-year-old was also wounded in the vicious onslaught, but managed to strike one attacker in the face with a picture frame.
She said: “I think they waited and saw my lads going out of the estate and then they came.
“They thought my husband would be here and came for him but he wasn’t here either.”
The mum-of-six, who has four sons, went on: “They came through the door and two of them were attacking at a 13-year-old girl, my daughter-in-law’s sister.
“All of them had the machetes. I’ll never forget because that man, a grown man, was laughing as he hit that girl.
"One of them came at me and I stood up because I knew they would be slicing me up.
“I got up to stop him getting any proper hits at me. I started fighting back because the instinct for survival got in my head.
"When I started fighting back I grabbed for a picture frame and hit him hard in the face.”
She added: “He pulled his mask up then, a balaclava, and I could see who he was. He was backing away to the door.
“The other two had black hats but I could see their faces.”
She said the men “ran out” to where they had left their blue car at the top of a hill.
Lizzy gave chase but the men, who had taped over their car’s registration number, sped off.
She said of Geraldine: “She’s a legend, she’s a hero, a fighter.
“When I came back to the house I grabbed the little fella first and checked him over and he was fine.
“Then I checked Geraldine and she was destroyed. You could see the blood spitting out of the back of the girl where her lung was split.
“I got on the phone to the boys and said ‘we’re cut up’ and called an ambulance.”
Her husband Gramsey Joyce, a bare knuckle boxer with a fearsome reputation in the Travelling community, was a distance away in the estate — but told how he “heard the screams.”
Mr Joyce, who is recovering from a cancer operation, ran to the house.
He said: “They were already gone when I got here. I came in and I was just thinking it was the smell of death.
“It made me think of a car crash we were in and there had been blood and it was like that, blood everywhere and I could smell death.
“But thankfully no one was killed.”
He said he believed that the attackers “came to kill me”.
Lizzy said: “The PSNI are working with the Gardai and they have promised me faithfully these men will be caught.
“They would be better off to just hand themselves in instead of hiding because it’s only going to be a matter of weeks before the police come and get them.”
She added: “We want no retaliation. We want justice, the best retaliation will be in the court when I’m smiling as they go to jail.
“And I have my boys told that. That will be the best retaliation.”
She said that brave Geraldine is “only a little skinny one, about seven stone weight six, six”, and continued: “If men like that do that to her, they’d do that to anyone.
“I’m not bothered about the wounds I have but that’s a girl in the hospital who is sitting up and trying to sleep because they can’t even lie her down on her back.
"It’ll be a long recovery for a little girl.”
It’s understood that the men suspected of involvement in the attack have told pals they have an alibi from the night.
Meanwhile, police are in possession of the video recording made by the attackers as they made their way to the house and began their brutal assault.
Det Sgt Keith Monaghan said the incident was a terrifying ordeal for those involved.
He said: “We are determined to find the men responsible.”
He added detectives were investigating several lines of inquiry.


During Early Access we have a number of features we wish to add to the website and we will be using this page as our public roadmap so everyone see what we have planned.
This page will be updated as we progress through development. You can expect additions/removals depending on development progress.
If you would like to let us know of any suggestions you have to make our bot better, please click this to be redirected to the Feedback Form!
Last Updated: 1st July 2018
| Features | Status | Notes |
|---|---|---|
| Dad Joke | Complete - 11/11/2018 | Added Dad Joke responding to anyone saying "I'm" |
| Disable/Enable Dad Jokes | Complete - 11/11/2018 | Added a function where dad jokes can be enabled or disabled. |
| i!loop function | Complete - 11/11/2018 | This is the Tutorials/Cheat Sheet page seen by clicking the box above. |
| i!insult | Complete - 1/11/2018 | Displays a randomly selected Insult. If a number is present, show the insult at that position. |
| i!help | Complete - 1/11/2018 | This it the Meet the Team Page and the Contact Us Page you can check out above! |
| @insults, please leave | Complete - 11/11/2018 | This asks the Insults discord bot to kindly leave. |
| Anti-spam | In Progress | Anti-spam will be added in order to reduce the amount of spam in servers |
| Mod logs | Being planned | This will show everything the mods did, including bans, kicks and more |
| Type of Change | Status | Notes |
|---|---|---|
| Improved Looks | Complete - 11/11/2018 | Improved the looks of i!help |
| Bug Fix | Complete - 11/11/2018 | Fixed Bot not responding to "I'm" in the middle of a sentence. |
| Bug Fix | Complete - 11/11/2018 | Fixed stop function to i!loop |
| Bug Fix | Complete - 11/11/2018 | Fixed bot responding to sentences with a word ending in im |
| Type | Status | Notes |
|---|


This webpage will ask the user for three lengths and we will tell you what type of triangle can be formed with those sides.
Equilateral: "equal"-lateral (lateral means side) so they have all equal sides
Isosceles: means "equal legs", and we have two legs, right?
Scalene: means "uneven" or "odd", so no equal sides.


Work Day Scheduler
A simple calendar app for scheduling your work day
07 AM
08 AM
09 AM
10 AM
11 AM
12 PM
01 PM
03 PM
04 PM


Sarah was born in December 1986. At the age of 20, she became an au pair to help out the parents of two young boys (age 2 and 4) in Munich. She then returned to Luxembourg to become a flight attendant. In January 2015 her son Lionel was born with Milan following in June 2017. Sarah was a devoted and caring mother to her children and was relentless in trying to find new activities for her two boys, in buying new and interesting toys, in feeding them a natural and balanced diet. She spent most of the 4 years at home with them, only having started to go back to work in December 2018. Sarah was loved by many and nobody could ever say a bad word about her. She was caring and understanding, had a heart of gold and would be listening to other people’s grief for hours. She loved children more than anything in the world – not only her own – and had plans to have more children in the future. In February 2019, Sarah fell sick of the Influenza virus and, within just 4 days, passed away at the young age of 32, leaving behind her partner and the two boys.
The Fondation Sarah Grond’s mission is to financially help and provide advice to families in need, either directly or indirectly in Luxembourg, the UK or abroad. The main purpose is to help children that have lost one or both parents. The foundation is here to support children and families directly by helping them buy material, clothes, equipment ,finance activities and/or food or indirectly by giving money to foster homes, orphanages, support groups and children in underprivileged homes We understand the mental and emotional support in case of a loss of a loved one just as the importance of physical and financial help. The foundation wants to help organizations that provide these services or to pay for sessions with professionals. To finance these activities, the Fondation Sarah Grond relies on donations from individuals, but is also organizing fund-raising events a number of times a year which will create awareness and increase the number of donations.
Fondation Sarah Grond
<EMAIL_ADDRESS>(+352) 621 658 206
Fondation Sarah Grond
RCS Luxembourg G 251
Sarah Grond Foundation (UK) Ltd
Company number 12570995
(pending Charity Commission approval)
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Floyd Mayweather reveals he is coming out of retirement in 2020
Floyd Mayweather has revealed that he is coming out of retirement in 2020 and will be working alongside UFC president Dana White.
The 42-year-old, whose professional boxing record stands at 50-0, last fought in August 2017 when he beat Conor McGregor in Las Vegas.
Since then, Mayweather has participated in an exhibition fight last December against Japanese kickboxer Tenshin Nasukawa.
Mayweather earned $9 million (£7m) for that contest and beat Nasukawa, who was undefeated at that time, in less than three minutes.
Mayweather has now revealed that he will be ending his retirement next year to work with White, which could suggest another exhibition bout could be on the cards.
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Speaking earlier this week, Mayweather was adamant that he would not be returning to boxing.
‘I’ve got calls to get back into the ring, but my health is my wealth,’ he told Reuters.
‘Boxing is a very, very brutal sport. In the last few years a lot of fighters have died inside that squared circle.
‘You have got to know when to hang it up. I had a great career.
‘I’ll still travel and do exhibitions. I make great money doing exhibitions; between $10 and $30 million.
‘I think I make more doing that than most fighters make fighting.’


Punting Packets¶
Overview¶
To ‘punt’ can mean different things to different people. In VPP the data-plane punts when a packet cannot be handled by any further nodes. Punt differs from drop, in that VPP is giving other elements of the system the opportunity to handle this packet.
A popular meaning of punt is to send packets to the user/control-plane. This is specific option of the more general case above, where VPP is handing the packet to the control-plane for further processing.
The Punt Infrastructure¶
Exception packets are those that a given node cannot handle via normal mechanisms. Punting of exception packets is handled via the VLIB ‘punt infra’. There are two types of nodes; sources and sinks. Sources allocate a punt ‘reason’ from the infrastructure and load time. When they encounter an exception during switch time it will tag the packet with the reason and ship the packet of the the punt-dispatch node. A sink will register with the punt infra at load time so it can receive packets that were punted for that reason. If no sinks are registered for a given reason the packet is dropped, if multiple sinks register the packets are replicated.
This mechanism allows us to extend the system to deal with packets that the source node would otherwise drop.
Punting to the Control Plane¶
Active Punt¶
The user/control-plane specifies that this is the type of packet I want to receive and this is where I want it sent.
Currently there exists 3 ways to describe how to match/classify the packets to be punted:
a matching UDP port
a matching IP protocol (i.e. OSPF)
a matching punt exception reason (see above)
Depending on the type/classification of the packet to be punted, that active punt will register itself into the VLIB graph to receive those packets. For example, if it’s a packet matching a UDP port then it will hook into the UDP port dispatch functions; udp_register_port().
There exists only one sink for passive punt, a unix domain socket. But more work is underway in this area.
see the API in: vnet/ip/punt.api
Passive Punt¶
VPP input packet processing can be described as a series of classifiers. For example, a sequence of input classifications could be, is it IP? is it for-us? is it UDP? is it a known UDP-port? If at some point in this pipeline VPP has no further classifications to make, then the packet can be punted, which means sent to ipX-punt node. This is described as passive since the control-plane is thus receiving every packet that VPP does not itself handle. For passive punt the user can specify where the packets should be sent and whether/how they should be policed/rate-limited.
see the API in: vnet/ip/ip.api


Working Knowledge
Goal
To create a better and more functional world through the web.
Trade
Designing, Developing, and Innovating for people like you...
Work Abilities
- Familiar with browsers compatibility
- Strong attention to detail - from design through the code to testing
- Understanding of web application architecture and object-oriented design
- Designing and implementing the best web application possible
- Experience with knowledge of best practices, APIs and libraries
- Optimize rendering performance and responsiveness on low end devices
- Implementing visual elements that users see and interact with in a web application
- Developing techniques for mining semi-structured data sources (e.g., text, the Web)
- Ensure stability and minimal data usage especially under unreliable/intermittent network conditions
- A passion for building simple, reliable experiences
Strengths
- A dedication to learning and adopting new technology
- Ability to perform work independently or in a collaborative team
- Good oral, written & presentation skills
- Quick learner with good grasping ability
- Action-oriented and result-focused
- Lead & work as a team in an organized way
- Proficient in English


@* * Copyright 2017 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 models.HasInvestmentTradeStartedModel @import uk.gov.hmrc.play.views.html.helpers.form @import views.html.helpers.{backButtonWithProgress, errorSummary, formHiddenYesNoRadioNoError, formInlineDateInput} @(hasInvestmentTradeStartedForm: Form[HasInvestmentTradeStartedModel])(implicit request: Request[_], messages: Messages) @main_template(Messages("page.companyDetails.HasInvestmentTradeStarted.title")) { @backButtonWithProgress(controllers.eis.routes.QualifyBusinessActivityController.show().url, Messages("common.section.progress.details.one")) @errorSummary(hasInvestmentTradeStartedForm, "has-investment-trade-started", "hasInvestmentTradeStartedDay")
@Messages("page.companyDetails.HasInvestmentTradeStarted.descriptionOne.text")
@form(action = controllers.eis.routes.HasInvestmentTradeStartedController.submit()) {


1 How to use
1.1 How oxforddown
is structured
.
+-- index.Rmd
+-- _bookdown.yml
+-- 00-introduction.Rmd
| ...
+-- 07-conclusion.Rmd
+-- front-and-back-matter
| +-- _abstract.Rmd
| +-- 98-appendices.Rmd
| ...
+-- bibliography
| +-- references.bib
| ...
+-- figures
| ...
+-- docs
| +-- _main.pdf
| ...
+-- scripts_and_filters
| +-- knit-functions.R
| ...
+-- templates
| +-- template.tex | ...
1.1.1 index.Rmd: metadata and layout options
In index.Rmd, set your thesis’ basic metadata (e.g., title, author name)
title: |
`oxforddown`: \
An Oxford University Thesis \
Template for R Markdownauthor: Author Name
college: Your College
Also set filepath(s) to your abstract, acknowledgements, abbreviations, and bibliography (one or more .bib files):
abstract: |
`r paste(readLines("front-and-back-matter/_abstract.Rmd"), collapse = '\n ')`acknowledgements: |
`r paste(readLines("front-and-back-matter/_acknowledgements.Rmd"), collapse = '\n ')`dedication: For Yihui Xie
abbreviations: |
`r paste(readLines("front-and-back-matter/_abbreviations.Rmd"), collapse = '\n ')`
#######################
## bibliography path ##
#######################
bibliography: [bibliography/references.bib, bibliography/additional-references.bib]
Finally, index.Rmd is also where you customise layout options. For example, in PDF output what should the heading for the bibliography section say? How should page numbers be positioned? Should line numbers be shown? In HTML output, what CSS files should be used for styling?
### citation and bibliography style ###
bibliography-heading-in-pdf: Works Cited
...
### position of page numbers ###
ordinary-page-number-foot-or-head: foot #'foot' puts page number in footer, 'head' in header
ordinary-page-number-position: C
...
includeline-num: false #show line numbering in PDF?
...
bookdown::bs4_book:
css:
- templates/bs4_style.css
- templates/corrections.css # remove to stop highlighting corrections
1.1.2 other .Rmd files in root folder: thesis chapters
each chapter of your thesis should have its own .Rmd file in the root directory
when you knit index.Rmd, these chapters are merged together in alphabetical order, based on their filenames
1.1.3 front-and-back-matter/
this folder holds the front and back matter of your thesis
it has .Rmd files for your abstract, acknowledgements, abbreviations, and a welcome note that is included in HTML output. Note how these files start with an underscore (e.g. _abstract.Rmd). This means they will not automatically be merged into the thesis – they are explicitly included in index.Rmd
98-appendices and 99-references.Rmd are automatically merged into thesis, however - therefore their file names start with a high number, so that they will be included by the very end (merging is done alphabetically)
99-references.Rmd sole purpose is to set the heading for the references section in HTML and Word output
1.1.4 _bookdown.yml: build options
Set output directory for your thesis files (docs/ is the default, as it makes it easy to publish HTML output on GitHub pages)
Should R Markdown automatically merge .Rmd files in alphabetical order? Alternatively, specify explicitly which files should be included.
1.1.5 scripts-and-filters
knit-function.R has the functions that are used when you build the entire thesis by knitting index.Rmd
create_chunk_options.R lets you include cute quotes at the start of a chapter in PDF output
colour_and_highlight.lua lets you color text or apply background color to text
1.1.6 templates
template.tex is the LaTeX template used to build the entire thesis to PDF in the OxThesis layout (relies on ociamthesis.cls)
brief-template.tex is the LaTeX template used to build a single chapter to PDF in the OxThesis layout (relies on ociamthesis.cls)
beltcrest.pdf: the oxford logo used on the front page of the PDF output
1.2 Building your entire thesis
- Build the entire thesis by opening index.Rmd and clicking the ‘knit’ button.
- The generated thesis files are saved in the docs/ folder
- To choose output formats, go to the top of index.Rmd’s YAML header and edit the line
thesis_formats <- "pdf";
to the format(s) you want (options are “pdf”, “bs4”, “gitbook”, and “word”) - You can build to multiple formats simultaneously with, e.g.,
thesis_formats <- c("pdf", "bs4", "word")
- If you want to customise the build function, edit scripts_and_filters/knit-functions.R
<IP_ADDRESS> PDF output
knit: (function(input, ...) {
thesis_formats <- "pdf";
...
When you build the entire thesis to PDF, Latex generates a whole bunch of auxillary files - these are automatically removed after the build process end by the custom knit function that is used when you knit index.Rmd.
To change how this removal is done, edit scripts_and_filters/knit-functions.R.
The line file.remove(list.files(pattern = "*\\.(log|mtc\\d*|maf|aux|bcf|lof|lot|out|toc)$"))
within if ("pdf" %in% output_format){
is the one that removes files after PDF output is generated.
<IP_ADDRESS> BS4 book output (HTML)
knit: (function(input, ...) {
thesis_formats <- "bs4";
...
- NOTE: the bs4 book output requires the
downlit
andbslib
R packages (install them withinstall.packages
) - Note also that to deploy a BS4 book on GitHub Pages, there must be a .nojekyll file in the docs/ folder, otherwise GitHub does some voodoo that causes some filepaths not to work. This file is generated automatically by
oxforddown
s knitting function.
<IP_ADDRESS> Gitbook output (HTML)
knit: (function(input, ...) {
thesis_formats <- "gitbook";
...
- Note that to deploy a gitbook on GitHub Pages, there must be a .nojekyll file in the docs/ folder, otherwise GitHub does some voodoo that causes some filepaths not to work. This file is generated automatically by
oxforddown
s knitting function.
<IP_ADDRESS> Word output
knit: (function(input, ...) {
thesis_formats <- "word";
...
- Note that the Word output has no templates behind it, and many things do not work (e.g. image rotation, highlighting corrections). I encourage pull requests that optimise the Word output, e.g. by using tools from the
officer
package.
1.3 Building a single chapter
To knit an individual chapter without compiling the entire thesis you:
- open the .Rmd file of a chapter
- add a YAML header specifying the output format(s) (e.g.
bookdown::word_document2
for a word document you might want to upload to Google Docs for feedback from collaborators) - click the
knit
button (the output file is then saved in the root folder)
As shown in the sample chapters’ YAML headers, to output a single chapter to PDF, use e.g.:
output:
bookdown::pdf_document2:
template: templates/brief_template.tex
citation_package: biblatex
documentclass: book
bibliography: references.bib
The file templates/brief_template.tex formats the chapter in the OxThesis style but without including the front matter (table of contents, abstract, etc).


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Guidance
The table details Individualised Learner Record (ILR) data collection periods, planned learning aims reference data updates and proposed essential maintenance windows.
The maintenance windows are provisional. We will publish the confirmed dates on the data collection facility page of the Hub.
During learning aims updates, the learning aims search facility on the Hub will still be available. Your Funding Information System (FIS) installation will still be available, but will not be able to call for new data until we have finished the update process.
During the essential maintenance windows the data collection system will be unavailable and we cannot guarantee the availability of the data collections facility nor of the learning aims search on the Hub, nor of the FIS update facility.


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An explorative artspace experiment.
The Contemporary Art Experience delivers a new painting to your doorstep every 15 days.
Our Augmented Reality app lets you preview how an artwork transforms your space before it arrives physically.
Starting at $128 a month. Learn more


AWS OpsWorks Instance BlockDeviceMapping EbsBlockDevice
EbsBlockDevice
is a property of the AWS OpsWorks Instance BlockDeviceMapping property that defines
a block device for an Amazon Elastic Block Store (Amazon EBS) volume.
Syntax
JSON
{ "DeleteOnTermination" :
Boolean
, "Iops" :Integer
, "SnapshotId" :String
, "VolumeSize" :Integer
, "VolumeType" :String
}
YAML
DeleteOnTermination:
Boolean
Iops:Integer
SnapshotId:String
VolumeSize:Integer
VolumeType:String
Properties
DeleteOnTermination
-
Indicates whether to delete the volume when the instance is terminated.
Required: No
Type: Boolean
Iops
-
The number of I/O operations per second (IOPS) that the volume supports. For more information, see Iops for the
EbsBlockDevice
action in the Amazon EC2 API Reference.Required: No
Type: Integer
SnapshotId
-
The snapshot ID of the volume that you want to use. If you specify both the
SnapshotId
andVolumeSize
properties,VolumeSize
must be equal to or greater than the size of the snapshot.Required: No
Type: String
VolumeSize
-
The volume size, in Gibibytes (GiB). If you specify both the
SnapshotId
andVolumeSize
properties,VolumeSize
must be equal to or greater than the size of the snapshot. For more information about specifying volume size, see VolumeSize for theEbsBlockDevice
action in the Amazon EC2 API Reference.Required: No
Type: Integer
VolumeType
-
The volume type. For more information about specifying the volume type, see VolumeType for the
EbsBlockDevice
action in the Amazon EC2 API Reference.Required: No
Type: String


If you ask a deep neural network to read a large number of languages, does it share what it’s learned about sentence structure between different languages?
Deep neural language models like BERT have recently demonstrated a fascinating level of understanding of human language. Multilingual versions of these models, like Multilingual BERT (mBERT), are able to understand a large number of languages simultaneously. To what extent do these models share what they’ve learned between languages?
Focusing on the syntax, or grammatical structure, of these languages, we show that Multilingual BERT is able to learn a general syntactic structure applicable to a variety of natural languages. Additionally, we find evidence that mBERT learns cross-lingual syntactic categories like “subject” and “adverb”—categories that largely agree with traditional linguistic concepts of syntax! Our results imply that simply by reading a large amount of text, mBERT is able to represent syntax—something fundamental to understanding language—in a way that seems to apply across many of the languages it comprehends.
More specifically, we present the following:
-
We apply the structural probe method of Hewitt and Manning (2019) to 10 languages, finding syntactic subspaces in a multilingual setting.
-
Through zero-shot transfer experiments, we demonstrate that mBERT represents some syntactic features in syntactic subspaces that overlap between languages.
-
Through an unsupervised method, we find that mBERT natively represents dependency clusters that largely overlap with the UD standard.
Our results are presented in the forthcoming ACL 2020 paper, Finding Universal Grammatical Relations in Multilingual BERT. This post draws from the paper, which is joint work with John Hewitt and Chris Manning. You can also find the code here.
If you’d like to skip the background and jump to the discussion of our methods, click here. Otherwise, read on!
Learning Languages
Past childhood, humans usually learn a language by comparison to one we already speak.1 We naturally draw parallels between sentences with similar meanings—for example, after learning some French, one can work out that Je vis le chat mignon is essentially a word-for-word translation of I see the cute cat. Importantly, humans draw parallels in syntax, or the way words are organized to form meaning; most bilinguals know that mignon is an adjective which describes the noun chat, just as cute describes the noun cat—even though the words are in the opposite order between languages.
How do we train a neural network to understand multiple languages at the same time? One intuitive approach might be to equip the neural network with a multilingual dictionary and a list of rules to transfer between one language to another. (For example, adjectives come before the noun in English but after the noun in Khmer.) However, mirroring recent developments in monolingual neural networks, one more recent method is to give our neural network enormous amounts of data in multiple languages. In this approach, we never provide even a single translation pair, much less a dictionary or grammar rules.
Surprisingly, this trial by fire works! A network trained this way, like Google’s Multilingual BERT, is able to understand a vast number of languages beyond what any human can handle, even a typologically divergent set ranging from English to Hindi to Indonesian.
This raises an interesting question: how do these networks understand multiple languages at the same time? Do they learn each language separately, or do they draw parallels between the way syntax works in different languages?
Knowing What it Means to “Know”
First, let’s ask: what does it even mean for a neural network to “understand” a linguistic property?
One way to evaluate this is through the network’s performance on a downstream task, such as a standard leaderboard like the GLUE (General Language Understanding Evaluation) benchmark. By this metric, large models like BERT do pretty well! However, although high performance numbers suggest in some sense that the model understands some aspects of language generally speaking, they conflate the evaluation of many different aspects of language, and it’s difficult to test specific hypotheses about the individual properties of our model.
Instead, we use a method known as probing. The central idea is as follows: we feed linguistic data for which we know the property we’re interested in exploring (e.g. part-of-speech) through the network we want to probe. Instead of looking at the predictions of the model themselves, for each sentence we feed through, we save the hidden representations, which one can think of as the model’s internal data structures. We then train a probe—a secondary model—to recover the target property from these representations, akin to how a neuroscientist might read out emotions from a MRI scan of your brain.
Probes are usually designed to be simple, to test what the neural network makes easily accessible. intuitively, the harder we try to tease a linguistic property out of the representations, the less the representations themselves matter to your final results. As an example, we might be able to build an extremely complex model to predict whether someone is seeing a cat, based on the raw data coming from the retina; however, this doesn’t mean that the retina itself intrinsically “understands” what a cat is.2
A Tale of Syntax and Subspaces
So what form, exactly, do these hidden representations take? The innards of a neural network like BERT represent each sentence as a series of real-valued vectors (in real life, these are 768-dimensional, but we’ve represented them as three-dimensional here):
A probe, then, is a model that maps from a word vector to some linguistic property of interest. For something like part of speech, this might take the form of a 1-layer neural classifier which predicts a category (like noun or verb).
But how do we evaluate whether a neural network knows something as nebulous as syntax, the way words and phrases are arranged to create meaning? Linguists believe sentences are implicitly organized into syntax trees, which we generate mentally in order to produce a sentence. Here’s an example of what that looks like:
To probe whether BERT encodes a syntax tree internally, we apply the structural probe method [Hewitt and Manning, 2019]. This finds a linear transformation3 such that the tree constructed by connecting each word to the word closest to it approximates a linguist’s idea of what the parse tree should look like. This ends up looking like this:
Intuitively, we can think of BERT vectors as lying in a 768-dimensional space; the structural probe tries to find a linear subspace of the BERT space which best recovers syntax trees.
Does this work, you might ask? Well, this certainly seems to be the case:
Hewitt and Manning apply this method only to monolingual English BERT; we apply their method to 10 other languages, finding that mBERT encodes syntax to various degrees in all of them. Here’s a table of performance (measured in UUAS, or unlabeled undirected accuracy score) as graphed against the rank of the probe’s linear transformation:
Probing for Cross-Lingual Syntax
With this in mind, we can turn to the question with which we started this blog post:
Does Multilingual BERT represent syntax similarly cross-lingually?
To answer this, we train a structural probe to predict syntax from representations in one language—say, English—and evaluate it on another, like French. If a probe trained on mBERT’s English representations performs well when evaluated on French data, this intuitively suggests that the way mBERT encodes English syntax is similar to the way it encodes French syntax.
Does this work? In a word, basically:
Out of the 11 languages that we evaluate on, we find that probes trained on representations from one language are able to successfully recover syntax trees—to varying degrees—in data from another language. Evaluated on two numerical metrics of parse tree accuracy, applying probes cross-lingually performs surprisingly well! This performance suggests that syntax is encoded similarly in mBERT representations across many different languages.
| UUAS | DSpr. | |
| Best baseline | 0% | 0% |
| Transfer from best source language | 62.3% | 73.1% |
| Transfer from holdout subspace (trained on all languages other than eval) | 70.5% | 79% |
| Transfer from subspace trained on all languages (including eval) | 88.0% | 89.0% |
| Training on evaluation language directly | 100% | 100% |
Finding Universal Grammatical Relations in mBERT
We’ve shown that cross-lingual syntax exists—can we visualize it?
Recall that the structural probe works by finding a linear subspace optimized to encode syntax trees. Intuitively, this syntactic subspace might focus on syntactic aspects of mBERT’s representations. Can we visualize words in this subspace and get a first-hand view of how mBERT represents syntax?
One idea is to focus on the edges of our syntactic tree, or head-dependent pairs. For example, below, was is the head of the dependent chef:
Let’s try to visualize these vectors in the syntactic subspace and see what happens! Define the head-dependent vector as the vector between the head and the dependent in the syntactic subspace:
We do this for every head-dependent pair in every sentence in our corpus, then visualize the resulting 32-dimensional vectors in two dimensions using t-SNE, a dimensionality reduction algorithm. The results are striking: the dependencies naturally separate into clusters, whose identities largely overlap with the categories that linguists believe are fundamental to language! In the image below, we’ve highlighted the clusters with dependency labels from Universal Dependencies, like amod
(adjective modifying a noun) and conj
(two clauses joined by a coordinating conjunction like and, or):
Importantly, these categories are multilingual. In the above diagram, we’ve projected head-dependent pairs from both English (light colors) and French (dark colors) into a syntactic space trained on solely English mBERT representations. We see that French head-dependent vectors cluster as well, and that dependencies with the same label in both English and French share the same cluster.
Freedom from Human-Chosen Labels
The fact that BERT “knows” dependency labels is nothing new; previous studies have shown high accuracy in recovering dependency labels from BERT embeddings. So what’s special about our method?
Training a probe successfully demonstrates that we can map from mBERT’s representations to a standard set of dependency category labels. But because our probe needs supervision on a labeled dataset, we’re limited to demonstrating the existence of a mapping to human-generated labels. In other words, probes make it difficult to gain insight into the categories drawn by mBERT itself.
By contrast, the structural probe never receives information about what humans think dependency label categories should look like. Because we only ever pass in head-dependent pairs, rather than the category labels associated with these pairs, our method is free from human category labels. Instead, the clusters that emerge from the data are a view into mBERT’s innate dependency label representations.4
For more work on the latent linguistic ontology of BERT, see: Michael et al. (2020) and Limisiewicz et al. (2020).
Analyzing mBERT’s Internal Representations
Taking a closer look, what can we discover about how mBERT categorizes head-dependency relations, as compared to human labels? Our results show that mBERT draws slightly different distinctions from Universal Dependencies. Some are linguistically valid distinctions not distinguished by the UD standards, while others are more influenced by word order, separating relations that most linguists would group together. Here’s a brief overview:
-
Adjectives: We find that mBERT breaks adjectives into two categories: prenominal adjectives in cluster (b) (e.g., Chinese 獨特的地理) and postnominal adjectives in cluster (u) (e.g., French applications domestiques).
-
Nominal arguments: mBERT maintains the UD distinction between subject and object. However, indirect objects cluster with direct objects; other adjuncts cluster with subjects if near the beginning of a sentence and
obj
otherwise. This suggests that mBERT categorizes nominal arguments into pre-verbal and post-verbal categories. -
Relative clauses In the languages in our dataset, there are two major ways of forming relative clauses. Relative pronouns (e.g., English the man who is hungry are classed by Universal Dependencies as being an
nsubj
dependent, while subordinating markers (e.g., English I know that she saw me) are classed as the dependent of a mark relation. However, mBERT groups both of these relations together, clustering them distinctly from mostnsubj
andmark
relations. -
Determiners The linguistic category of determiners (det) is split into definite articles (i), indefinite articles (e), possessives (f), and demonstratives (g). Sentence-initial definite articles (k) cluster separately from other definite articles (j).
-
Expletive subjects Just as in UD, expletive subjects, or third person pronouns with no syntactic meaning (e.g. English It is cold, French Il faudrait, Indonesian Yang menjadi masalah kemudian), cluster separately (k) from other
nsubj
relations (small cluster in the bottom left).
Conclusion
In this work, we’ve found that BERT shares some of the ways it represents syntax between its internal representations of different languages. We’ve provided evidence that mBERT learns natural syntactic categories that overlap cross-lingually. Interestingly, we also find evidence that these categories largely agree with traditional linguistic concepts of syntax.
Excitingly, our methods allow us to examine fine-grained syntactic categories native to mBERT. By removing assumptions on what the ontology of syntactic relations should look like, we discover that mBERT’s internal representations innately share significant overlap with linguists’ idea of what syntax looks like. However, there are also some interesting differences between the two, the nature of which is definitely worth further investigation!
If you’d like to run some tests or generate some visualizations of your own, please head on over to the multilingual-probing-visualization codebase!
Finally, I’m deeply grateful to John Hewitt and Chris Manning, as well as members of the Stanford NLP group for their advice, including but not limited to: Erik Jones, Sebastian Schuster, and Chris Donahue. Many thanks also to John Hewitt and Dylan Losey for reading over the draft of this blog post, and to Mohammad Rasooli for advice on Farsi labels in the original paper.
-
For a linguistic perspective (specifically, in the field of second-language acquisition), see Cook (1995). ↩
-
This definition is a general overview and leaves some important questions. How exactly, for instance, do we evaluate the complexity of our probe? Relatedly, how much of the performance improvement is due to the model, and how much is due to the probe itself? For more work on this, see Hewitt and Liang (2019) and Pimentel et al. (2020). ↩
-
A linear transformation on a vector is simply multiplication by a matrix: ↩
-
Technically speaking, this is constrained to the assumption that BERT would choose the same head-dependent pairs as UD does. ↩


Network Applications
- It is important to write programs that run on different types of end systems.
- When writing the code, it should be written in a way that can be run on multiple end systems (written in java, C, or python)
- You don't need to write code that runs in network core devices like routers, or linked layer switches, because you can't
- Application Architecture
- Client-Server Architecture: there is an always-oh host called a server. that server services requests from many other hosts called clients
- two clients don't directly communicate with each other
- the server has an IP address
- Client can always contact the server by sending packets to the IP address
- Data Center: a large virtual server housing a large number of hosts. It is used if only one server is handling all the requests and it is being overwhelmed.
- Peer-to-peer or P2P doesnt rely on dedicated servers
- p2p connects hosts directly called peers
- peers are personal devices
- self scalability: peers create the workload, but also take the workload.


Hello! I am Te(Ting) Sze Ying, a second year undegraduate student at National University of Singapore. You can call me Sze Ying, or SY for short.
I am pursuing a double degree in Computer Science and Business Administration in School of Computing and School of Business respectively. To me, the knowledge I gain in Business Administration greatly helps me in building software in Computer Science with the goal of creating customer value in mind.
My passion lies in software engineering, and I plan to embark on more full stack projects. Some day I hope to build a software that millions of people use!
Microsoft Word
90%
Microsoft Powerpoint
90%
Microsoft Excel
90%
Adobe Photoshop
60%
HTML/CSS
80%
SQL
20%
Java
80%
C
60%
Ruby on Rails
40%
Javascript
20%
Swift
20%
English
90%
Chinese
90%
Leadership
60%
Project Management
60%
Writing/Publications
50%
National University of Singapore (NUS)
Aug 2014 - Present
National Junior College (NJC)
Jan 2010 - Dec 2013
National University of Singapore
School of Computing Open Day Ambassador (Mar 2016)
Life is Tech! Programming Camps
Mentor (Jun - Dec 2015)
Jaa'kin Pte Ltd
Sales Assistant (May - Sept 2014)
National Junior College
Research & Science Teaching Assistant (Jan - Apr 2014)


LLMNR Poisoning
LLMNR - The link-local multicast name resolution. A protocol with a similar function as that of NetBIOS (Outdated) and generally, is used as a replacement.
LLMNR and NetBIOS allow name resolution for devices on the network, essentially - A DNS type function, without needing DNS configuration. As LLMNR sends its requests via broadcast packets, it is possible to intercept them and perform a Man-in-the-Middle (MITM) attack.
Example Attack:
First things first a lab is required for the example attack. For the example attack below the following config was used:
Machines
- A Domain Controller running active directory.
- A Windows 10 (Education) workstation added to the domain network.
- Parrot OS machine, not added to the domain, however, still on the same network.
Tools
- Responder
- Hashcat
How the attack works
- Victim user will try to access something like a drive, which is spelt in correctly or not resolvable via DNS.
- Responder will act as a DNS server “knowing” where this drive is.
- Victim sends over NTLMv2 username and password hash.
- Password is cracked with Hashcat.
Firstly, start Responder. Keep it running until traffic is received.
For this attack the options -rdw and -v are used.
- r = Enables Responder to answer NetBIOS wredir queries.
- d = Enables Responder to answer NetBIOS domain suffix queries.
- w = Start the WPAD server.
- v = Verbose, so that captures can be handled as they come in.
The user victim mistakenly tries to connect to the network drive “marketig”. This causes LLMNR to broadcast packets to the entire network to see if there is any machine that knows the location of this drive.
Looking at the NTLMv2 hash, it is possible to see its format - Username::Domain:Password-Hash. Knowing that the hash is NTLMv2, cracking the hash is an option. By cracking the hash, it is possible to open a door into the network. Getting a user and their password allows for a potential pivot in the network.
Using Hashcat, it is possible to crack the password using the module 5600.
And behold… the password of Password123 has been uncovered.


GENERAL
Home Town: Nagpur, Maharashtra, India.
Current City: Fullerton, CA, US.
Birth date: 25 July 1994.
Student at California State University, Fullerton.
Pursuing Masters in Computer Science.
SKILLS
Home Town: Nagpur, Maharashtra, India.
Current City: Fullerton, CA, US.
Birth date: 25 July 1994.
Student at California State University, Fullerton.
Pursuing Masters in Computer Science.


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Philippians 1:11
Being filled with the fruits of righteousness, which are by Jesus Christ, unto the glory and praise of God.


Sorry, but the page you were trying to view does not exist.
https://github.com/webcomponents/webcomponentsjs
We can put whatever we want here!
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Before Change
if config.get(DOMAIN, {}).get(CONF_DISCOVERY):
_LOGGER.debug("Scanning for WeMo devices.")
devices.extend(
(setup_url_for_device(device), device)
for device in pywemo.discover_devices())
for url, device in devices:
_LOGGER.debug("Adding wemo at %s:%i", device.host, device.port)
After Change
devices = []
_LOGGER.debug("Scanning statically configured WeMo devices...")
for host, port in config.get(DOMAIN, {}).get(CONF_STATIC, []):
url = setup_url_for_address(host, port)
if not url:


Bem-Vindo(a) ao nosso Website
Contrary to popular belief, Lorem Ipsum is not simply random text.  Richard McClintock, a Latin professor at Hampden-Sydney College in Virginia, looked up one of the more obscure Latin words, consectetur, from a Lorem Ipsum
There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form, by injected humour, or randomised words which don't look even slightly believable. If you are going to use a passage of Lorem Ipsum, you need to be sure there isn't anything embarrassing hidden in the middle of text. All the Lorem Ipsum generators on the Internet
Saiba Mais!


Currently opened to new opportunities. Due to extreme dedication to this working field of Information Communications Technology, I put a lot of efforts on my continual growth and advancement as I am an ardent follower of the various ways of implementing technological knowledges for satisfatory practical purposes,
I have a good experience in Agile/Scrum methodologies that I implement to effectively deliver my services,
I am a freelance developer with a Bachelor's degree in Computer Science, several Years of Web Development, Software Engineerings and Information Technology consultancy. I develop web applications through the use of proprietary frameworks and open-source so that applications will be responsive and accessible on a vast platforms of devices,
I master the habit of taking care of the various architectural databases after development, Developing REST-based APIs validating so that these solutions will meet accessibility requirements, usability requirements, guidelines requirements security,
I Write automated testing scripts as a basis for unit and integration testing and I engage in gathering and developing these as a main member of a versatile team that includes; business analysts, developers, project managers, and consumers.
I can be comfortably called a "Jack of all trade" as I have worked in many industries, at various levels and with several people from different backgrounds of life.
For the sake of space, I have summarized my working history below, specifically a list of my working experience in the Information Communications Technology field.
Thank you!
I deal with online solutions that includes but not limited to;
A complete development and implementation of an entire web architecture,
The development and construction of several techs that follows both front/Back-end UI with constructed API,
A complete development and deployment of a fare-sized database,
Projects management that that includes a proper development of websites beginning from their primary sketches / approaches, drafts, full functionality and attentive maintenance,
Taking care of the various improvements that will meet the needs of client or potential clients,
Taking care of clients' commerce activities and promotion of their already completed products,
Researching on the various techs that would promote the advancement of already existing or potential clients,
Actual preparation and conveying of various software platforms that implemented across several organizational units,
Providing stable software through a proper QA process, regression, and carrying out unit testing that can detect any inconsistencies, thus ensuring a successful operations,
I am actively involved with a continual mastering, integration and deployment of new technology stacks to (that we have these days) create flexible metadata for SEO development, monitoring and advancement of codebases.
Worked in partnership with clients in completion of current systems plans, architecture design,routine health checks, and continual training of clients / staff,
Maintenaned and updated the already existing systems in terms of estimating Performance, Effectiveness, Functionality, Technicality and Scenarios,
Overseen the custom systems and software solutions,
Worked to improve the architecture and effectiveness of Petro Steer's IT systems in various organisations that they were involved with,
Provided strategic advice to clients as per IT infrastructures, technology and enabled a major business processes through enhancements to IT.
I was able to maintain and monitor the then effective new user-friendly features,
I was able to determine the effective patterns, structures and designs of web pages, and then conclude on a balance between functional and aesthetic web development to ensure and optimized web design,
I ensured that web UX/UI designers had an effective technical feasibility,
I was able to develop long lasting reusable codes in libraries,
Worked together with every other team members in the company and stakeholders
weekend volunteering on every level of Information Communications Technology with the independent Catholic schools in Calgary to help maintain their already existing systems.
Pasadena, US
Newcastle upon Tyne, England
A vanila JS Pokédex application that displays a list of Pokémon
and
allows a user to view details for each of them.
Pokédex database App II using Jquery and Bootstrap to display
pokemon details from array library.
This project,was implemented with the forllowing tecs;HTML5
,JS, CSS3,JQueryand Bootstrap.
Phone:<PHONE_NUMBER>
Email: emmanuel.onoapor.gmail.com


Near the Wetlands, and next to an American holly loaded with berries, stands a sapling elm tree. There are many such trees here at the Museum. But, as I walked past this particular pair of arboreal specimens I noticed several clusters of passerine contour feathers stuck to the thin branches of the small, bare elm. Most of the feathers were white, some had rufus colored centers. What happened here? When I see a group of feathers clumped together as on the Read more
Face of Contentment
The barred owl pictured here was just feet from the main path in Explore the Wild. The bird was being harassed by crows, but upon my arrival the corvids retreated leaving the owl in quiet solitude. The owl remained on its perch most of the day looking, as owls often do, peaceful, content, and wise. Read more


--- layout: page title: Oxygen Supply Services ---
With your support, we plan to expand services under the ‘Ocean Care Oxygen Centres’ to Delhi, Mumbai, Jaipur, Patna, Kota (Rishi's hometown) and Bangalore soon. We need each other to get through this together. Help us help one another.
We are not limiting ourselves to planned cities and initiatives. Also constantly working on multiple initiatives with colleagues to extend all support across India.
Find a donor from a list of verified plasma donors
Find NowGet enlisted as a donor with Ocean Care making it easy for any COVID patient/family to find the right person
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Lumen: Lua Multitasking Environment.
"A nice generic framework to develop complex, portable concurrent applications in Lua."
Introduction
Lumen is a very simple environment for coroutine based multitasking. Consists of a scheduler, and that's it. The API was inspired by a brief description of Sierra's scheduler. Lumen has no external dependencies nor C code, and runs on unmodified Lua (works with Lua 5.1, 5.2 and LuaJIT). Tasks that interface with LuaSocket and nixio for socket and async file I/O support are provided.
Lumen's API reference is available in the docs/
directory, or online.
How does it look?
Here is a small program, with two tasks: one emits ten numbered signals, one second apart. Another tasks receives those signals and prints them.
local sched=require 'lumen.sched' -- task receives signals sched.run(function() local waitd = {'an_event'} while true do local _, data = sched.wait(waitd) print(data) end end) -- task emits signals sched.run(function() for i = 1, 10 do sched.signal('an_event', i) sched.sleep(1) end end) sched.loop()
Tasks
Tasks can emit signals, and block waiting for them, and that's it.
- A signal can be of any type, and carry any parameters
- A task can wait on several signals, with an optional timeout.
- Signals can be buffered; this helps avoid losing signals when waiting signals in a loop.
- There is an catalog that can be used to simplify sharing data between tasks.
Pipes & Streams
There are also pipes and streams, for intertask communications.
- Unlike with plain signals, writers can get blocked too (when pipe or stream gets full).
- Synchronous and asynchronous (with a timeout) modes supported.
- Multiple readers and writers supported.
- For when no signal can get lost!
Mutexes
There are cases when you must guarantee that only one task is accessing a piece of code at a time. Mutexes provide a mechanism for that. Notice that Lumen, being a cooperative scheduler, will never preempt control from a task. That means you only may have to resort to mutexes when your critical piece of code relinquish control explicitly, for example with a call to sleep, emitting a signal or blocking waiting for a signal.
Goodies
There are a few other useful modules, like an integrated remote Lua shell and a lightweigth HTTP server.
How to try it out?
There several test programs in the tests/ folder. This example has a few tasks exchanging messages, showing off basic functionality:
lua test.lua
License
Same as Lua, see COPYRIGHT.
Who?
Copyright (C) 2012 Jorge Visca<EMAIL_ADDRESS>Contributors
Andrew Starks (@andrewstarks)


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Collier County gets FEMA grant for backup generators
by WFTX Digital TeamNAPLES, Fla. -- Collier County is getting some new generators, that hopefully will help stop a wide range of problems during severe weather.
FEMA will give the county $3 million to install 53 back-up generators at critical wastewater pump stations.
It'll help reduce the risk of sewer overflows that can happen during severe weather, the kind of thing that can cause power outages, flooding and storm surge conditions.


We will be transported by bus to the Mini Israel site nearby the Latrun Junction, and begin here our final day of the 14th Wheels of Love Ride.
From Mini Israel, we will cycle towards the Latrun Monastery, which is also known as the taciturn monastery because of the life principals in the monastery based on the values of simplicity, harmony with nature and keeping a vow of silence.
The open views alongside Road no. 3 will accompany us until the Nachshon Junction. Here, we will start riding on the curving "Bravery Road" The name of the road links two junctions which are named after the two heroes Nachson and Shimshon.
This part of the Road was paved during the War of Independence as a bypass to the road from Latrun to Sha'ar Hagai which was controlled by the Jordan Legion and blocked the way to Jerusalem. From the Shimshon Junction, we will continue to Eshtaol and Beit Shemesh from here we will start the significant climb for today.
On road 3866 we will ride to Nes Harim and Bar Giora, and along the Sorek Ravine to Kerem Junction. Here, at the foot of the Hadassah Hospital we will join all WOL riders for the last section of the Ride! Hang in there – the ALYN Hospital is just "around the corner"! and the children of ALYN will be waiting for us!