Introduction
Hello! I am a software engineer with a background in game development.
My passion is in user - software/media interaction. I am eager to tackle this passion from many different angles; anything from programming to writing to the game design itself. I was inspired by the intricate social simulation, dubbed Comme Il Faut, implemented in Prom Week (Josh McCoy, Mike Treanor, Ben Samuel and Aaron A. Reed). I am currently working on a game called Solus, which will release on Steam this coming June!


Village Readers Collective is made up of talented and wonderful healers & fortune tellers. The readers can be seen by appointment at our lovely little shop on SE 16th and Stark at 512 SE 16th Avenue. The readers will help you gain insight into your life path, help you make decisions at a crossroads or help you set goals for your future. These warm and loving readers and intuitives are available by appointment by calling me at<PHONE_NUMBER>. I’m happy to answer any questions you may have. I think you’ll be very happy you gave it a try.


health climate Climate change {border-style px;} #ffffff;} Change Health adaptation United impacts public risk tropical Accessed Available px; {font-family change. font-size subtropical Environ Islands Solomon collab: disease double; extreme American Convention Framework Nations Tropical World border-color border-width communication environmental human solid; trust {font-style {font-weight Change: Global Medicine Paris Public University bold courier; diarrheal em; geographic global hazards, local outcomes preparedness pt;} regions surveillance weather


Portfolio
-
Linear Lights Out
In this project, I created a game called linear Lights Out where the goal is to make all of the colors match.  The game will keep track of the amount of moves you have made and start a new game when the button is clicked.
-
Tic Tac Toe
In this project, I created a game called Tic Tac Toe where two players try to connect their respective pieces together in a row, column, or diagonal. The game ends when either one player wins or a tie is achieved. The new game button will start a new game when clicked.


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| Collection.php | |
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This is my personal page where you can view details about my work, life and things that keep me busy. In summary, you'll see that I am passionate about technology stack - specifically infrastructure, social changes, innovation and startup landscape, music, guitars and the future of network architectures.
Affiliations
-
NYPNY : Nepalese Young Professionals in New York, a social non-profit volunteer startup
- SDI : Software Defined Infrastructure (radio/networks/systems)
- Internet : The Infrastructure that holds the Internet together.
- Wireless : Wireless Anything Networks (wifi/xbee/mesh/sensors/iot/rfid)
Publications
Fun
Contact
contact@nitinics.com


What happened to Roman Kemp's dad Martin - when did he have a brain tumour?
Monday’s edition of I’m A Celebrity saw Roman Kemp open up about his famous parents, Spandau Ballet star Martin Kemp and former Wham! backing singer Shirlie Holliman.
And while discussing their marriage – including how his godfather George Michael accompanied them on their first date – he addressed his dad’s health issues, and how he had to help him remember some of the 80s band’s most famous songs following his battle with a brain tumour.
Speaking to his fellow campmates Roman told them: ‘When [Spandau Ballet] went back out on tour post-brain tumour, he forgot everything. So I had to learn all those Spandau songs and re-taught them to him.
‘How can my dad not be my hero for all of that?’
Just what did happen to Martin Kemp? Here’s what you need to know…
Advertisement Advertisement
When did Roman Kemp’s dad Martin have a brain tumour and what happened to him?
Martin Kemp was diagnosed with two benign brain tumours – one the size of a grapefruit – in 1995.
The Spandau Ballet bassist and actor revealed on Piers Morgan’s Life Stories in 2014 that it was his wife who had discovered a lump in his head, discovering that there was a mass growing in the middle of his brain after he sought medical advice.
‘If they’d never found this one growing out, they wouldn’t have found the one in the middle until it was too late, and that was the one that would have killed me,’ Martin explained.
He underwent surgery to remove the tumours as well as having radiotherapy treatment.
Although Martin recovered, he has been left with epilepsy as a result of the two tumours, which he controls with medication.
‘Having epilepsy is quite common for anyone who has a brain tumour or is recovering from one,’ he previously explained.
‘I still take drugs to suppress it and will have to do so for the rest of my life.’
Martin resumed his acting career in 1998, and went on to play EastEnders bad boy Steve Owen – husband of recently departed Mel Owen (Tamzin Outhwaite) – for four years.

Unlike a malignant (cancerous) tumour, benign tumours tend to grow slowly and not spread to other parts of the body – but they can also prove life-threatening if they are left untreated.
Most can be safely removed with surgery and will not return if all of it can be removed – although if it can’t be completely removed there is a risk it could grow back.
Symptoms of a brain tumour include new, persistent headaches – which are often worse first thing in the morning, persistent nausea and vomiting, vision problems, drowsiness and epileptic fits.
All of the above can of course be caused by other conditions, but it’s always advisable to see your GP if you’re concerned.
I’m A Celebrity continues on ITV on Tuesday night at 9pm.
Got a showbiz story?
If you've got a story, video or pictures get in touch with the Metro.co.uk Entertainment team by emailing us<EMAIL_ADDRESS>calling 020 3615 2145 or by visiting our Submit Stuff page - we'd love to hear from you.


Airbourne deliver an armada of bite-size bangers at Rock City - review and photos
'If you haven’t heard them live then you haven’t really heard them'
by Alex MaceAirbourne continue their European charge with no-nonsense and no chance to catch your breath
“Does anyone want a drink?” Airbourne frontman Joel O’Keefe asks Rock City, waving a bottle of Jack in the air with a large grin.
The Aussie hard rock four-piece is renowned for rekindling lost embers of simple, hard-cutting, balls-to-the-wall rock and Rock City saw nothing less with an armada of bite-size bangers (Breakin’ outta Hell and Runnin’ Wild being highlights) that easily dwarfed any studio performance they’ve ever done; if you haven’t heard it live then you haven’t really heard it.
Doused in a thick shroud of smoke and introduced by the Terminator 2 theme, O’Keefe (who started the night shirtless of course) and co. at times appeared more demon than man. Their frantic and vigorous tenacity to keep rock alive made for a fantastic show complete with air raid sirens and some heroic crowd singing from Nottingham’s best; well done fellas!
Airbourne’s style may harken back to the days of AC/DC but they had no issue reeling in an assortment of ages. The fleet of battle jackets were proudly adorned by faces old and new, highlighting the band’s instantly accessible nature and a people’s undying love for rock and it’s unyielding attitude.
Speaking of attitude, Airbourne delivered by the tonne. On his numerous breaks from guitar-slinging, O’Keefe was mounting security guards to ride high through the crowds, smashing beer cans with his temple, taking us to ‘bar school’ with his innovative Jack and Coke that amounted to 99% bourbon and even launching a seemingly interminable number of cups of beer to the most inaccessible corners of the venue to the sound of drunken cheers from fans below; it was like an alcoholic Olympics.
Most importantly, Airbourne reminded us to stop caring. The arsenal of hits, the drinks, the frontman pep-talks, it was care-free enough to make even the most stiff-collared gent let loose. So yes, the music is by no means a pioneer within the genre but sometimes all you need is a dose of golden-age nostalgia; for that there’s no-one better than Airbourne.


This is a wider card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.This is a wider card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
Amiya kumar sahoo
This is a wider card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.This is a wider card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
Amiya kumar sahoo
This is a wider card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.This is a wider card with supporting text below as a natural lead-in to additional content. This content is a little bit longer.
Amiya kumar sahoo


Simple Small Batches. We ensure that our bone broth is simmered low and slow to maximize the nutrients extracted during the cooking process.
Looking For Ways To Boost Your Immunity? Try Bone Broth!
Health
Collagen - It's Nature's Botox!
Healthy Creamy Cauliflower Soup
Recipes
Top 10 Reasons To Add Bone Broth To Your Daily Routine
Broth
Top 5 Ways To Use Bone Broth That Will Blow Your Mind!


Faux Slant Test
In Safari (macOS & iOS), variable fonts with a Slant axis are given a “faux-slant.” Instead, their slnt axis should be activated. See the CSS Spec for font-style for details.
In browsers that correctly render the Slant axis, the "hamburgfontsiv" example will have no visible mismatching overlap, while the "o" example will have a lot of offset.
font-style: italic; /* applies artificial skew */
font-variation-settings: 'slnt' -10; /* shows correct rendering */
hamburgfontsiv
hamburgfontsiv
Corrected X placement to compare curves:
o
o


IRA Continuum Window
The IRA Continuum window is used to show a stripchart-like display of incoming values from the detector, new values arrive once per second, and are plotted on the Continuum display. If a secondary beam is in use (“split” mode), then the detected power from the secondary beam is shown in green, with the primary beam in blue:
Display Maximum
This control sets the maximum value to be displayed in the stripchart. It varies from 0 to 200000.
Detector Value
This text field shows the current value of the detector, and will be identical to that shown in the main IRA Control window. It is there as a convenience, to allow centering of the incoming samples, etc.
Display Span
This slider control sets the total span (minimum to maximum) of the current stripchart display.
Create Postscript
This pushbutton control allows you to make a postscript file of the current stripchart display. It will pop-up a file-browser to allow you to select a filename and directory for the resulting PostScript file.
DISMISS
This button control causes the IRA Continuum window to close. Even though the window is closed, new data are continuously added to the stripchart. The window may be brought back by using the corresponding “Show” button in the IRA Control window, in the Continuum area.
LMST Fields
There are 3 fields below the stripchart that show the approximate LMST that corresponds to that X position on the strip chart.


Javascript makes the internet fun. Sure this website could be malware, sure it could try to steal your information, or exploit your gpu to mine bitcoins.
Sure.
But we still need it to work.


Help you learn about solar wind types
Let you know some basic information about the solar wind
You can see all the information of each class here...
Magnetic clouds as clear examples of ejecta.
Unperturbed high-speed streams as clear examples of coronal hole origin plasma
Strahl-confusion zones as clear examples of sector reversal region plasma
Pseudostreamers as clear examples of streamer belt origin plasma
still working on this part
EC500
phone:...
email:...
Phone:
Email:


Savage Chickens is now on twitter! http://twitter.com/savagechickens
12/4/2008, 8:30:13 AM
Favs: 0
Retweets: 0
link--- layout: tweet ---
Savage Chickens is now on twitter! http://twitter.com/savagechickens
12/4/2008, 8:30:13 AM
Favs: 0
Retweets: 0
link


{% extends "layout.html" %} {% set active_page = 'clients' %} {% import "macros.html" as macros %} {%block content%}
| Client ID | Player ID | Logon Date | Heartbeat | Heartbeats | IP Address | Status |
|---|---|---|---|---|---|---|
| {{client.client_id}} | {{client.player_id}} | {{client.create_date | dt}} | {{client.heartbeat | dt}} | {{client.num_heartbeats}} | {{client | client_ip(False)}} | {{client.status | status}} |


Detailed information of {{dataService.Objects[dataService.currentObject].LuggageClaimObject}}
Ka-ching! You will receive: €{{dataService.Objects[this.dataService.currentObject].CoverageAmount}} as compensation
amount for this item.
Oops! We couldn't figure out the amount for this item, please continue.


CaliBurger takes the sunny Southern
California style burger around the globe
conquering taste buds with every Cali
Double and Seasoned Fries.
Cali Group Provide
Revolutionary Experience For CaliBurger Guests.


 You got total
4 lives in a game.
Use
'A' and
'D' to orientate the shooter. Boom!!
Use
'SPACE' to shoot at the balls.
Click or tap mousepad to pause or resume the game.
On Brave, Firefox and chrome on PC.
CLICK TO START


THE ROAD TO ENLIGHTENMENT
Littering a dark and dreary road lay the past relics of browser-specific tags, incompatible DOMs, broken CSS support, and abandoned browsers. We must clear the mind of the past. Web enlightenment has been achieved thanks to the tireless efforts of folk like the W3C, WASP, and the major browser creators. The CSS Zen Garden invites you to relax and meditate on the important lessons of the masters. Begin to see with clarity. Learn to use the time-honored techniques in new and invigorating fashion. Become one with the web.
SO WHAT IS THIS ABOUT?
There is a continuing need to show the power of CSS. The Zen Garden aims to excite, inspire, and encourage participation. To begin, view some of the existing designs in the list. Clicking on any one will load the style sheet into this very page. The HTML remains the same, the only thing that has changed is the external CSS file. Yes, really.  The only way this can be illustrated in a way that gets people excited is by demonstrating what it can truly be, once the reins are placed in the hands of those able to create beauty from structure. Designers and coders alike have contributed to the beauty of the web; we can always push it further.
PARTICIPATION
Strong visual design has always been our focus. You are modifying this page, so strong CSS skills are necessary too, but the example files are commented well enough that even CSS novices can use them as starting points. Please see the CSS Resource Guide for advanced tutorials and tips on working with CSS. You may modify the style sheet in any way you wish, but not the HTML. This may seem daunting at first if you’ve never worked this way before, but follow the listed links to learn more, and use the sample files as a guide. Download the sample HTML and CSS to work on a copy locally. Once you have completed your masterpiece (and please, don’t submit half-finished work) upload your CSS file to a web server under your control. Send us a link to an archive of that file and all associated assets, and if we choose to use it we will download it and place it on our server.
BENEFITS
Why participate? For recognition, inspiration, and a resource we can all refer to showing people how amazing CSS really can be. This site serves as equal parts inspiration for those working on the web today, learning tool for those who will be tomorrow, and gallery of future techniques we can all look forward to.
REQUIREMENTS
Where possible, we would like to see mostly CSS 1 & 2 usage. CSS 3 & 4 should be limited to widely-supported elements only, or strong fallbacks should be provided. The CSS Zen Garden is about functional, practical CSS and not the latest bleeding-edge tricks viewable by 2% of the browsing public. The only real requirement we have is that your CSS validates.Luckily, designing this way shows how well various browsers have implemented CSS by now. When sticking to the guidelines you should see fairly consistent results across most modern browsers. Due to the sheer number of user agents on the web these days — especially when you factor in mobile — pixel-perfect layouts may not be possible across every platform. That’s okay, but do test in as many as you can. Your design should work in at least IE9+ and the latest Chrome, Firefox, iOS and Android browsers (run by over 90% of the population).We ask that you submit original artwork. Please respect copyright laws. Please keep objectionable material to a minimum, and try to incorporate unique and interesting visual themes to your work. We’re well past the point of needing another garden-related design.This is a learning exercise as well as a demonstration. You retain full copyright on your graphics (with limited exceptions, see submission guidelines), but we ask you release your CSS under a Creative Commons license identical to the one on this site so that others may learn from your work.


Shatta Wale Joins Stonebwoy To Diss Kelvynboy? Full GIST Here
by Ghbase New WriterIt looks as though Shatta Wale has thrown his weight behind Stonebwoy in his ongoing feud with former signee Kelvynboy which looks far from over.
However, on a broader spectrum Wale’s posture is in consonance with his own battle with Kweku Smoke which falls in line with what Stonebwoy told Kelvynboy after he reacted to his earlier jabs.
Earlier today we reported that Stonebwoy subtly threw new shots at Kelvynboy during his performance at the 4syteTv Music Video Awards last Saturday.
Stonebwoy had said:
Big up to Samini, my godfather, and the upcoming wey dem no dey respect, dem for sit well.”

Wading into the brouhaha, Shatta Wale who is also having issues with Kweku Smoke, an artist he wanted to sign and has accused of stealing his song, agreed with Stonebwoy’s assertion.
He Tweeted;
They never know re – writable CD and Diskette before that be why Dem deh disrespect @stonebwoyb


Akan tribe names
This is a web application that takes a user's birthday and calculates the day of the week they were born and then depending on their gender outputs their Akan Name.
Akan names are derived from Ghanian culture, frequently in Ghana, children are given their first name as a 'day name' which corresponds to the day in the week they were born, for example if a male child is born on Sunday the name assigned to the baby will be Kwasi,if its female the name will be Akosua


{% extends "bootstrap_layout.html" %} {% set active_page = "prediction_results" %} {% block content %}
Your desired effects entered were, "{{ desired_effects }}" and your recommendation is:


a modern way to search & request songs online in your favourite karaoke bar
Hi there, {{username}}!
Do you love to sing as we do?
{{place.name}}
{{place.address}}
{{song.name}}
{{song.artist}}


Designing and Constructing the Hum user interface (UI) architecture has been the most challenging task in creating the Hum run-time infrastructure. The problem is made more difficult due to the lack of separation between model and presentation that we currently see in the (non-Hum) programming frameworks.
The basic strategy behind the Hum user interface architecture is that it should be technology independent at the level of the dialog vignette. This allows vignettes to be expressed as English-like dialogs (stimulus-response scripts) that do not need to reference sensors.
User dialogs are managed by a Dialog Agent. The Dialog Agent remembers the context and initiates requested actions. Sensors are managed by a "Scribe". The Dialog Agent interacts with a "Scribe" actor. A Scribe implementation mediates a specific user interface technology and translates user interface (sensor) inputs into sentences that match vignette patterns.
A Scribe listens to the user interface "sensorium" and translates user inputs into dialog-vignette sentences. With an conventional (HTML) user interface, this means that a keyboard entry may be translated directly while a mouse click may be translated into a sentence. In an virtual reality (VR) or augmented reality (AR) user interface, the Scribe might translate position sensor input into text such as "Approaching ..." or "Facing ..."
While a Scribe might be implemented from scratch in some programming language, it seems easier to create gesture-recognizers in the user interface framework`s primary programming language. In HTML, this implies that the Scribe`s gesture-recognizers will be written largely in JavaScript because they are client-side. The server-side language can be any language with a Hum binding. The Hum binding implements Hum`s actor framework. Hum`s actor framework is a relatively simple asynchronous messaging protocol.
  Capture sensor input. ==> Scribe client-side interpreter . . . Translate sensor input into text. ==> client-server connection protocol . Examples: HTTP with JSON content ==> Scribe server-side adapter . . . . .    Transport message from Dialog Agent to Scribe. ==> Scribe server-side adapter . . . . . Translate Hum response to HTTP, HTML, JSON. ==> client-server connection protocol . Transport HTTP response to client. ==> Browser with Scribe client-side . . Interpret/Display client-state update.
A contemporary (2015) programmer will tend to think of the vignette notation
as a kind of design notation.
The user interface still needs to be programmed in detail.
There is an incomplete code generator that generates an HTML form code-fragment,
but that is the only tool.
An API of some sort is always present in the user interface framework. The API may implement a DSL (design-specific language) for the user-interface directly or a separate DSL may be interpreted or translated to produce the user-interface. Code generators (DSL translators) are almost always coupled to a specific API.
I keep getting stuck in the vicinity of the user interface. I've implemented a crude and incomplete Hum View to HTML form translator. But, I have not implemented a complete HTML Scribe ... mainly because I do not like programming in JavaScript.
I need to produce a reasonably complete Scribe in order to provide a proof-of-concept
for myself and any readers.
- One of the missing features is the dialog connection. This resembles a chat-bot interface and could be built using an HTML form or an AJAX component.
- The existing HTML generator needs to be refactored into a Scribe API.
I go to such lectures to keep in touch with the problem-sets that real-life programmers need to handle.
A "ToDo List" is a simple application with an interactive table.
It should be a kind of "hello world" for every framework.
The user needs C.R.U.D. capability for each todo-list entry.
I need to set up a proof-of-concept implementation
that
(1) provides a usable interface
and
(2) updates a world-base.
There are three problems:
(1) adding links to <head> section.
(2) embedding special attributes in Hum-generated HTML tags.
. . Of course, programmers can augment the existing HTML code generator.
. . Consider this extension to markup syntax: [pane: heading; (attributes)]
. . . Programmers would place tag attributes after semi-colon.
. . . Special case: class="formatClass"
would be merged into HUM class attribute value.
(3) embedding icons and such in otherwise innocent text.
I should also ask myself if this is a case of the tail wagging the dog.
The problem with code-generators is that they seem to need to know too much.
Perhaps this is a problem I should simply ignore. I could provide one good-enough code-generator and leave it to user-programmers to extend the generator for special cases. Of course, they would only have an incentive where the "special cases" were re-usable.
Who does an actor trust to invoke its methods?
Should that be delegated to a dispatcher?
In some cases a client may be invalidated (e.g. late payments).
The world-base is intended to be the source of truth.
That implies a circle of trust.
Since new data values come from DialogAgents,
we need rules and/or processes for validating (authenticating and authorizing) DialogAgent actors.
(We might also need to validate Scribes.)
But Dialog Agents are proxies for Clients. So the question becomes the usual one about how do you validate a client. That means we can delegate the question of client trust to the UI and network framework (e.g. certificates, et cetera) as we would for any HTTP application.
Agents "check-in" with the dispatcher and identify the roles they "know".
In Erlang OTP, there is no built-in authentication.
Perhaps, we need an authentication option in Hum
that is independent of the backend implementation.
The check-in protocol could be extended to provide a signature or something.
We could copy the signature ideas used in SOAP framework.
(avoid re-inventing this)
Think about use cases for "broadcast" publish (unknown subscribers).


Provides a visualization for characterizing subgroups defined by a decision tree structure. The visualization simplifies the ability to interpret individual pathways to subgroups; each sub-plot describes the distribution of observations within individual terminal nodes and percentile ranges for the associated inner nodes.
| Version: | 0.8.1 |
| Depends: | R (≥ 3.4.0) |
| Imports: | partykit, rpart, colorspace |
| Suggests: | covr, knitr, rmarkdown, testthat |
| Published: | 2018-11-04 |
| Author: | Ashwini Venkatasubramaniam [aut, cre], Julian Wolfson [aut, ctb] |
| Maintainer: | Ashwini Venkatasubramaniam <ashwinikv01 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | visTree results |
| Reference manual: | visTree.pdf |
| Vignettes: |
visTree: Visualization of Subgroups for Decision Trees |
| Package source: | visTree_0.8.1.tar.gz |
| Windows binaries: | r-devel: visTree_0.8.1.zip, r-release: visTree_0.8.1.zip, r-oldrel: visTree_0.8.1.zip |
| OS X binaries: | r-release: visTree_0.8.1.tgz, r-oldrel: visTree_0.8.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=visTree to link to this page.


Sequence consisting of Command:s retrieved from a CommandBank. More...
#include <Program.h>
Public Member Functions | |
| Command & | add (const std::string &key, Command &cmd) |
| void | run () const |
| Main. | |
| Public Member Functions inherited from CommandSequence< std::pair< std::string, Command *> > | |
| operator bool () | |
| Check if this routine is defined. | |
Public Attributes | |
| Script | routine |
| Routine to be repeated automatically after selected commands, or with an explicit call. | |
Additional Inherited Members | |
| Public Types inherited from CommandSequence< std::pair< std::string, Command *> > | |
| typedef std::pair< std::string, Command * > | entry_t |
| typedef std::list< std::pair< std::string, Command * > > | list_t |
Sequence consisting of Command:s retrieved from a CommandBank.
A program may contain a single routine.


Welcome to Flux. We are working to create a space for a new culture of makers/breakers/fixers and benders in Portland, Oregon. A space filled with people and tools that can help you navigate both the technical and emotional hurdles of finishing your dream projects while also being friendly and non-threatening.
We recognize that the technology world is often a binder full of testosterone, and are working to make technology inclusive for people of all backgrounds and genders. We do our best to maintain an explicitly intersectional feminist space that welcomes members and guests of all genders, racial and cultural backgrounds, and levels of ability.
We must make our space safe so we can be dangerous together!
About Us
We open August 1st in downtown Portland: 412 NW Couch #222
Hackerspace: A collaborative space where do-it-your-selfers share tools, intelligence and community. There are thousands of hackerspaces across the world.
Flux: is a hackerspace working to create a comfortable space for non-male people to make awesome stuff. All people can participate. In our hackerspace it is safe to be generous, vulnerable, and strong. We are building a source of strength to be ourselves in a community without armoring up against sexism and racism.
Guidelines for respectful interaction
- Be sober
- Be awake, go home to sleep, no one lives here.
- Clean up after your projects when you’re done.
- This is a space for making, not consuming.
- Treat other people as they would like to be treated. If you do not know how, ask them.
- Yes means yes, no means no, and maybe means no, silence is not consent. Accept “no”s without arguing, and say “yes” when you mean yes.
- Respect others’ personal space and possessions. Check in before you touch someone or their belongings. Don’t touch people’s hair, for example. We are not petting zoos.
- Respect chosen names/pronouns/genders. If you’re unsure, ask.
- Act from an assumption of mutual respect and good will. Clarify misunderstandings, apologize for harm caused. Assume ignorance and not malice.
- Watch out for each other. Maintaining a respectful and safe community is everybody’s responsibility.
- If you’re not complying with these guidelines, you may be asked to leave by a Flux member.
How to Get Involved
Membership Dues (plus $2 Paypal fee if paying online)
- $50/month for small locker-BYOL
- $160/month large locker and storage space
Membership Includes
- 2 types of keys: keys to the door of the space and magnetic keys to the building. Everyone can get a key to the door of the space, but there are a limited number of keys to the building.
- A key to the space and open access to the building front door 8-6pm and access when building key holders are present. You can always stay late, but the building doors shut at 6pm.
- Free workshops when applicable
- Invitation to share our discussion group and relevant docs
- Permanent storage based on the size you pay for
- Tne vote in proposals related to major space or rent changes
I want to give you awesome stuff:
Thank you! We’re new and working hard to build up the space. Here’s a list of things we’re especially looking for right now: Flux wish list (as well as things we can’t accept).
Can non-members show up & use the space?
Yes, if we're around. Follow the guidelines for behavior and pay a suggested drop in rate.


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Start a 1960's TV theme song by entering a name, choosing options and clicking Submit
Come and listen to my story about a man named Jed. A poor mountaineer barely kept his family fed.


Alloy - DatePicker
Creating dynamically
Creating from HTML Markup
2010
January
February
March
April
May
June
July
August
September
October
November
December
9
Simple Datepicker


This tutorial section shows some of the features of Next.Event in the form of annotated, relatively simple, code snippets.
Before each example, includes are :
#include <next/event/dispatcher.hpp> #include <next/event/event_handler.hpp> #include <next/event/event.hpp>
next::dispatcher d{ next::thread_pool_size_t{ 4 } }
Each event has a signature. This signature specifie the return type and the type of the arguments You can declare an event with one integer parameter returning a bool as follow.
namespace mine { struct is_less_than_ten : next::event< bool( int ) >{}; }
The event handler class can call a functor when an event is received. It is registered as follow
next::dispatcher d{ next::thread_pool_size_t{ 4 } }; next::event_handler h{ d }; h.listen< mine::is_less_than_ten >( []( int x ) -> bool { return x < 10; } );
When you send an send an event to the dispatcher, the return type is the futur of a boost::optional of the return type of the specified event
next::dispatcher d{ next::thread_pool_size_t{ 4 } }; next::event_handler h{ d }; std::future< boost::optional< bool > > future_result = d.send_event< mine::is_less_than_ten >( 1 ).to( h );
When the event has been treated by the dispatcher, the future is notified. If the event has been handled by one listener, the optional stores the return value, else the optional is empty.
std::vector< std::future< boost::optional< bool > > > result_vector; std::size_t max = 20; for( std::size_t current = 0 ; current < max ; ++current ) { result_vector.push_back( d.send_event< mine::is_less_than_ten >( 1 ).to( h ) ); } for( std::size_t current = 0 ; current < max ; ++current ) { boost::optional< bool >& optional_result = result_vector[ current ].get(); if( optional_result ) { std::cout << current << " is less than ten : " << ( *optional_result ? "true" : "false" ) << std::endl; } else { std::cout << "Event has not been received" << std::endl; } }
If the event has no return type, the result is just a std::future< bool >. The boolean value depends if the event has been handled or not.


GitHub
PLAYING
ROLL DICE
PLAYING
ROLL DICE
→
→
→
→
PLAYING
ROLL DICE
PLAYING
ROLL DICE
ROLL DICE
Player 1
-- Choose color --
Yellow
Green
Red
Blue
-- Choose second color --
Yellow
Green
Red
Blue
Player 2
-- Choose color --
Yellow
Green
Red
Blue
-- Choose second color --
Yellow
Green
Red
Blue
Player 3
-- Choose color --
Yellow
Green
Red
Blue
Player 4
-- Choose color --
Yellow
Green
Red
Blue
Play >
+
=
x
OK


smcr
State Machine for Crystal
Installation
- Add the dependency to your
shard.yml
:
`yaml
dependencies:
smcr:
github: drhuffman12/smcr
`
- Run
shards install
Usage
For the states, we use Enums, which are importable from JSON. You might think that we should use Symbols, but those are NOT JSON import-able! See: https://forum.crystal-lang.org/t/how-to-do-from-json-with-symbol-variables/3379/2 .
require "smcr"
TODO Write usage instructions here
Development
To enable debug comment logging, set CRYSTAL_DEBUG
env variable to anything other than an empty string. For example:
# debug logging enabled
CRYSTAL_DEBUG=soME_nOn_Blank_VALue crystal spec
# debug logging disabled
CRYSTAL_DEBUG= crystal spec
This will show at least:
Smcr::VERSION # => "0.1.0"
Use this to output additional debug info like:
p! Smcr::VERSION if Smcr::DEBUG_ENABLED
Contributing
- Fork it (<https://github.com/drhuffman12/smcr/fork>)
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am 'Add some feature'
) - Push to the branch (
git push origin my-new-feature
) - Create a new Pull Request
Contributors
- Daniel Huffman - creator and maintainer


The most customizable Leaflet Control for tracking GPS position Other useful stuff for Web Mapping...


Members
# static DUMMY_HOLE_ID
This id identifies the dummy hole (pointer). See PlayerBoardHoles
# static DUMMY_HOLE_ID
This id identifies the dummy hole (pointer). See PlayerBoardHoles
# static INFINITE_LOOP_THRESHOLD
The amount of moves that a player is allowed to make during a game play. If
they go beyond this count, they are regarded to be in infinite state and have
lost the game.
number
# static INFINITE_LOOP_THRESHOLD
The amount of moves that a player is allowed to make during a game play. If
they go beyond this count, they are regarded to be in infinite state and have
lost the game.
# static MAX_SEED_COUNT
Maximum number of seeds that can be used to play the bawo game.
# static MIN_HOLE_ID
Minimum Hole ID. Note that DUMMY_HOLE_ID is not a Hole that is used
during game play.
number
# static MIN_HOLE_ID
Minimum Hole ID. Note that DUMMY_HOLE_ID is not a Hole that is used
during game play.
# static NUM_PLAYER_HOLES
Number of holes that a bawo game Player gets. This represents two
rows of holes - each row with 8 holes. These two rows are represented by
BawoCircularDoublyLinkedList - a circular linked list with 16 holes
(nodes).


Number of designs:
Number of target designs:
X axis:
Y axis:
Mouse Selection
Zoom/Pan:
Drag-select:
Deselect:
Feature Application Panel


Cats vs. Dogs Image Classifier
Introduction
In this project, I will be answering the most pressing question of our generation: How do we distinguish between images of cats and dogs?
In all seriousness, this is a great problem to explore the potential of deep learning and specifically, transfer learning on a simple task of classifying between images of cats and dogs.
The tools I will be using in this project are:
- Python
- Typical Data Science tools such as Pandas, Numpy, and Matplotlib
- Keras
- High level library built on top of Tensorflow for creating neural networks
- TensorFlow
- The underlying library for Keras used for deep learning computation
- Kaggle
- The competition site for this project. Create a Classifier model with the lowest prediction error possible
- Google Colab
- A Google-hosted cloud platform for running Jupyter notebooks. Useful when coding away from home, or in need of a high end GPU for deep learning
The steps I will be taking in this project are:
- Import the data from Kaggle into Google Colab Environment
- Preprocess the data for Keras
- Setup and Train the Keras ResNet152V2 model
- Evaluate the model on the test set
- Create a submission file for the Kaggle competition
Data Preparation
Here is an overview of the libraries needed for the project:
# Tools
import pandas as pd
from sklearn.model_selection import train_test_split
import matplotlib.pyplot as plt
import numpy as np
import math
import os
# ML
import tensorflow as tf
from keras.models import Sequential
from keras.layers import Dense
from keras import losses
from keras.callbacks import EarlyStopping
from keras.layers import BatchNormalization
import random
import cv2
from tensorflow import keras
from keras.models import Sequential
from keras.layers import Input, Dropout, Flatten, Conv2D, MaxPool2D, Dense, Activation
from keras.callbacks import ModelCheckpoint, Callback, EarlyStopping
from keras.utils import np_utils
from keras.preprocessing.image import ImageDataGenerator
from keras import layers
from tensorflow.keras.applications.resnet_v2 import preprocess_input
from tensorflow.keras.applications import ResNet152V2
np.random.seed(42)
tf.random.set_seed(42)
Before we can begin, we will need to create a repeatable workflow for importing the data from Kaggle into our Colab environment.
This Article gives a good explanation on how to set up a download directly from the Kaggle competition we are interested in.
# upload kaggle.json to Colab base directory
! mkdir ~/.kaggle
! cp kaggle.json ~/.kaggle/
! chmod 600 ~/.kaggle/kaggle.json
# Download and unzip the data
! kaggle competitions download dogs-vs-cats-redux-kernels-edition
! unzip dogs-vs-cats-redux-kernels-edition.zip
# Unzip the internal test and train data
%%capture
! unzip test.zip
! unzip train.zip
Folder Setup
Keras image data generator is the tool we will use for reading the training and testing data. It requires that the images are stored within a labelled folder structure so we will move the images to new directories.
# Create labelled directories
train_folder = 'train/'
train_images = [i for i in os.listdir(train_folder)]
dog = 'train/dog'
cat = 'train/cat'
os.mkdir(dog)
os.mkdir(cat)
# Move train images to labelled folders
for image in train_images:
if 'dog' in image:
os.replace(os.path.join(train_folder, image), os.path.join(dog, image))
elif 'cat' in image:
os.replace(os.path.join(train_folder, image), os.path.join(cat, image))
# Move test images to test folder
test_images = [i for i in os.listdir('test/')]
os.mkdir('test/test_images')
for image in test_images:
os.replace(os.path.join('test/', image), os.path.join('test/test_images', image))
Pipeline setup
With the directories setup, we can now setup the data pipeline for Keras using ImageDataGenerator
.
train_image_gen = ImageDataGenerator(rescale=1/255, horizontal_flip=True, validation_split=0.2)
test_image_gen = ImageDataGenerator(rescale=1/255)
We will use the validation_split
parameter to split the training data into a training set and validation set. 20% of the training data will be used for validation. The remaining test data will be used for validation after we have finalized our model hyperparameters.
image_size = (224, 224)
batch_size = 64
train_generator = train_image_gen.flow_from_directory(
'train',
target_size=image_size,
batch_size=batch_size,
seed=12,
subset='training',
shuffle=True,
class_mode='binary'
)
val_generator = train_image_gen.flow_from_directory(
'train',
target_size=image_size,
batch_size=batch_size,
seed=12,
subset='validation',
shuffle=True,
class_mode='binary'
)
test_generator = test_image_gen.flow_from_directory(
'test',
target_size=image_size,
batch_size=1,
seed=12,
class_mode=None,
shuffle=False
)
ResNet Model
We will be using the pretrained ResNet152V2 model from Keras for our classification task. This model is a great starting point for transfer learning because of its depth, flexibility, and performance on image classification.
The ResNet152V2 model is a wide residual network that is trained on the ImageNet dataset. This dataset contains images that are 224x224 pixels, so we rescaled our dog and cat images to 224x224 pixels to make the model feel at home :)
We can initiate the ResNet model with a simple code chunk in Keras. We set the weights
parameter to ‘imagenet’ to load the pretrained weights of the model.
resnet = ResNet152V2(
include_top=False,
weights='imagenet'
)
len(resnet.layers)
Checking the layer depth shows 564 trainable layers within the model. As a starting point, we will freeze the first 95% of the layers to retain the bulk of the pretrained model complexity. The remaining 5% will be set to trainable so that our model can fit to our cat and dog images.
# 564 resnet layers total
for layer in resnet.layers[:535]:
layer.trainable =False
for layer in resnet.layers[535:]:
layer.trainable=True
Next, we will add a global average pooling layer and a dense fully connected layer to our model. The pooling layer will summarize our feature maps and the dense layer will make predictions using a sigmoid activation function to map predictions to probabilities between 0 and 1.
x = resnet.output
x = layers.GlobalAveragePooling2D()(x)
predictions = Dense(1, activation= 'sigmoid')(x)
model = tf.keras.Model(inputs = resnet.input, outputs = predictions)
To improve our model tuning and performance, we will use the Adam
optimizer and the binary_crossentropy
loss function to measure validation error against the 20% of training images we set aside for validation. Because this is a transfer learning problem, we will set adam’s learning rate to 0.0005, since fast learning is not needed for the 5% of layers we are training.
We will also implement early stopping and learning rate decay to prevent overfitting as the model begins to fit our data.
LR = keras.callbacks.ReduceLROnPlateau(monitor='val_accuracy', patience=2, verbose=1, factor=.5, min_lr=.00001)
EarlyStop = keras.callbacks.EarlyStopping(monitor='val_accuracy', patience=4, restore_best_weights=True)
epochs = 15
model.compile(
optimizer=tf.keras.optimizers.Adam(learning_rate=0.0005),
loss="binary_crossentropy",
metrics=["accuracy"]
)
Model Training
Finally, we can fit our model to our training data. The validation results will be saved to the history
object.
history = model.fit(
train_generator,
epochs=epochs,
callbacks=[EarlyStop, LR],
validation_data=val_generator
)
The final model results printed to the console show the model achieved an accuracy of 0.988 on its 12th pass through the data.
Epoch 12: ReduceLROnPlateau reducing learning rate to 3.125000148429535e-05.
313/313 [==============================] - 107s 342ms/step - loss: 1.9357e-04 - accuracy: 0.9999 - val_loss: 0.0570 - val_accuracy: 0.9882 - lr: 6.2500e-05
This will suit us fine for this competition. However, if we wanted to refine the model further we could use KerasTuner to optimize parameters further. Here are some parameters that we could refine in the future:
Image_Size
= (224, 224)Batch_Size
= 64Learning_Rate_init
= 0.0005- Frozen Resnet Layers = [:535]
Before we move on, lets make sure to save our model to disk so we can use it later without retraining.
# Save Model
model.save('resnet152v2')
# Zip model in Colab
!zip -r /content/resnet152v2.zip /content/resnet152v2
Now, if we wished to import our trained model into our notebook, we can use the following code:
# Load Model
model = tf.keras.models.load_model('resnet152v2')
Model Evaluation
By examining the validation results saved to the history
object, we can see that our model is performing well.
acc = history.history['accuracy']
val_acc = history.history['val_accuracy']
loss = history.history['loss']
val_loss = history.history['val_loss']
n_ep = len(history.history['loss'])
epochs_range = range(n_ep)
plt.figure(figsize=(15, 15))
plt.subplot(2, 2, 1)
plt.plot(epochs_range, acc, label='Training Accuracy')
plt.plot(epochs_range, val_acc, label='Validation Accuracy')
plt.legend(loc='lower right')
plt.title('Training and Validation Accuracy')
plt.subplot(2, 2, 2)
plt.plot(epochs_range, loss, label='Training Loss')
plt.plot(epochs_range, val_loss, label='Validation Loss')
plt.legend(loc='upper right')
plt.title('Training and Validation Loss')
plt.show()
Validation on Test Data
Using the test_generator
we setup previously, we can create predictions on the test data.
predictions = model.predict(test_generator,verbose=1)
It is important for our Kaggle submission that the predictions are in numeric order, so we will reindex the predictions.
import re
image_index = []
for i in test_generator.filenames:
image_index += [int(s) for s in re.findall(r'\b\d+\b', i)]
print(image_index[0:10])
We can now use the pandas
library to create a dataframe of our predictions along with the associated image id.
pred_tuples = list(zip(image_index, predictions.flatten().tolist()))
pred = pd.DataFrame(pred_tuples, columns=['id','label'])
pred = pred.sort_values(by='id')
print(pred[:5])
Results:
id label
0 1 9.999999e-01
3612 2 1.000000e+00
4723 3 9.999992e-01
5834 4 1.000000e+00
6945 5 4.059837e-07
Before we submit to Kaggle, we can use a trick I found from Egor Vorobiev that can help improve our Kaggle score.
Because the automated evaluation uses log-loss scoring, we can clip our predictions to a limited range so that we are not penalized for overconfident predictions near the edge of the probability distribution.
# clip predictions
pred['label'] = pred['label'].clip(0.005, 0.995)
Finally, we can save our dataframe to a csv file and submit it directly to the Kaggle competition.
pred.to_csv('result.csv', index=False)
!kaggle competitions submit -c dogs-vs-cats-redux-kernels-edition -f result.csv -m "Message"
Conclusion
Our final Kaggle score is a log-loss of 0.05538. This places us in the top 8% of submissions in an expired competition. Not bad!
So what did we learn along the way?
- Don’t reinvent the wheel
- The ResNet architecture is already great at image classification, there’s no harm in borrowing existing models as a starting point for a more focused task.
- Plan ahead
- Keras offers many different routes to ingesting data. This article does a great job of explaining the pros and cons of each approach, but had I not researched these methods prior I would have lost a lot of time chasing the wrong approach.


To Vectorise or Squeegee / The Creative Conference / SXSW: Data Visualisation for Social Change / SXSW: Everything is a remix / SXSW: "Design for Hackers" Kadavy: Designing for White Space / SXSW: Community-centered design / Troika / Do Design Space / Reel Architecture Competition Launch
Do Design Space
High up in the GPO lies an unutilized space of sprawling ceilings and halls, a tunnel of rooms and corners lit by spotlights and divided by glass. For a week in July, this site was home to the State of Design's Do Design Space, "part installation, part classroom, part studio, part laboratory", central hub to the festival's program, with a diverse range of events and activities running morning to night. And such an array necessitated a painfully edited review.
The Do Design Space began its week with Design for an Active City, a competition run with VicUrban. The brief invited designers to engage pedestrians along the bleak expanse of Collins Street Bridge through design. While some responses were sincere, forward-thinking solutions, the winner was a predictable choice for VicUrban, meeting the practical criteria of a windbreak. To single out a highlight would be the response from supergroup Grimshaw, Winwards Structures, Rider Levett Bucknall and Buro North, whose Point to Point provided an information node for the pedestrian, marking the bridge relevant to the walker rather than purely decorative.
Midweek saw RMIT's Design Research Institute initiate disquieting, valuable discussion with Mobilise Design Thinking to Solve Today's Big Challenges. Using Design Thinking framework, a panel discussed the myriad of obstacles in our city's future, and our unfortunate urban attitudes. Futurist Richard Slaughter was grave: "Real time stock prices, our secondary economy, are beamed all over the world, into countless devices, homes and offices. Yet information about our primary economy [our world] emerges only in books and blogs. It's a failure of social imagination."
Do Design Space was also home to week long installations, such as the Design Reading Room, presented by Coop and Perimeter Books. The glowing nook of makeshift shelves displayed publications chosen by designers as important to their working practice. The printed material had a considered balance - for graphic designer Mark Gowing, the influence of a publication like US Trade Centre Graphics in Europe is apparent, yet the art of Ai Weiwei was not, and interesting to discover.
Thursday night was hosted by The Design Files blog professional Lucy Feagins, who brought her online format live for the first time. Known for her loyalty to local creatives, Lucy curated a distinctly crafty panel, with illustrator Beci Orpin, interior stylist Clair Wayman and Harvest Workroom's Lara Davies. Rather dryly interviewed on their typical day, the top ten "Lessons Learned" and unanimous dislike for proportionate administration to success was refreshing to hear.
An anchor within the Do Design Space's activity was Micro Kitchen, a pop-up Initiative by Broadsheet. Serving a daily soup borne of a complimentary collaboration between a designer and chef, visitors were fed creations like Brosch Broth, briefed in poem form by Perks and Mini's Mischa Hollenbach, to Andrew McConnell (Cumulus Inc).
The week ended with the space beautifully utilized for Eat With Me, a Melbourne based social network encouraging members to connect with strangers through sharing meals. Attendees were open despite being a little nervous, it being near impossible to keep up pretence with a mouthful of food. Part founder Bethany Jones explained it all began after reading the projected high rate of single living by 2030. "It can be miserable cooking and eating alone," she said, "We wanted to provide for that issue now."
With time to reflect, it is obvious Do Design Space thoroughly succeeded as the heart of the State of Design Festival; its diverse events representing the potential far-reaching influence of design in our lives, and into the future. A week of attendance provided a wealth of professional opinion and exciting possibility, cleverly brought together to maximize its accessibility and relevance to enthusiasts and designers of all disciplines.
By Bonnie Abbott
Published in Artichoke, November 2011


Dublin Bikes
Station map
Your Search
Station number:
Address:
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Free stands:
Capacity:
Card payments:
Average bike availability for:
Dublin Weather
Prediction for available bikes build on the weather forecast
Time
Nr. of available bikes


nips nips2006 nips2006-193 nips2006-193-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Amiran Ambroladze, Emilio Parrado-hernández, John S. Shawe-taylor
Abstract: This paper proposes a PAC-Bayes bound to measure the performance of Support Vector Machine (SVM) classiﬁers. The bound is based on learning a prior over the distribution of classiﬁers with a part of the training samples. Experimental work shows that this bound is tighter than the original PAC-Bayes, resulting in an enhancement of the predictive capabilities of the PAC-Bayes bound. In addition, it is shown that the use of this bound as a means to estimate the hyperparameters of the classiﬁer compares favourably with cross validation in terms of accuracy of the model, while saving a lot of computational burden. 1
[1] C L Blake and C J Merz. UCI Repository of machine learning databases. University of California, Irvine, Dept. of Information and Computer Sciences, [http://www.ics.uci.edu/∼mlearn/MLRepository.html], 1998.
[2] Bernhard E. Boser, Isabelle Guyon, and Vladimir Vapnik. A training algorithm for optimal margin classiﬁers. In Computational Learing Theory, pages 144–152, 1992.
[3] J Langford. Tutorial on practical prediction theory for classiﬁcation. Journal of Machine Learning Research, 6(Mar):273–306, 2005.
[4] J Langford and J Shawe-Taylor. PAC-Bayes & Margins. In Advances in Neural Information Processing Systems, volume 14, Cambridge MA, 2002. MIT Press.
[5] D McAllester. Pac-bayesian stochastic model selection. Machine Learning, 51(1):5–21, 2003.
[6] M Seeger. PAC-Bayesian Generalization Error Bounds for Gaussian Process Classiﬁcation. Journal of Machine Learning Research, 3:233–269, 2002.
[7] J Shawe-Taylor, P L Bartlett, R C Williamson, and M Anthony. Structural risk minimization over data-dependent hierarchies. IEEE Trans. Information Theory, 44(5):1926 – 1940, 1998.


var Board = require('../db/board');
var Board = require('../db/board');
boardUrl: String
board: Mongoose board model
io: Export of our Socket.io connection from server.js
var connect = function(boardUrl, board, io) {
Set the Socket.io namespace to the boardUrl.
var whiteboard = io.of(boardUrl);
whiteboard.on('connection', function(socket) {
Send the current state of the board to the client immediately on joining.
socket.emit('join', board);
socket.on('start', function(pen) {
A stroke is essentially a continous line drawn by the user.
socket.stroke = {
pen: pen,
path: []
};
});
socket.on('drag', function(coords) {
Push coordinates into the stroke’s drawing path.
socket.stroke.path.push(coords);
This payload will be sent back to all sockets except the socket that initiated the draw event.
var payload = {
pen: socket.stroke.pen,
coords: coords
};
Broadcast new line coords to everyone but the person who drew it.
socket.broadcast.emit('drag', payload);
});
When stroke is finished, add it to our db.
socket.on('end', function() {
var finishedStroke = socket.stroke;
Get the board that the socket is connected to.
var id = socket.nsp.name.slice(1);
Update the board with the new stroke.
Board.boardModel.update({id: id},{$push: {strokes: finishedStroke} },{upsert:true},function(err, board){
if(err){ console.log(err); }
else {
console.log("Successfully added");
}
});
Emit end event to everyone but the person who stopped drawing.
socket.broadcast.emit('end', null);
Delete the stroke object to make room for the next stroke.
delete socket.stroke;
});
When someone is sharing their screen
socket.on('screen-share', function() {
broadcast to everyone but the person who emitted socket.broadcast.emit(‘’);
});
});
};
module.exports = connect;


First time online and not sure what to do? This is just your dashboard, where you can see who's online. Jump onto an app (eg chat.grimwire.com) then put {HOSTDOMAIN} in the on the top right to get started.
Bookmarklet: join({HOSTLABEL}). Bookmark this link, then use it on sites with GrimWidget.js to connect to this relay.
CSS by Bootstrap. Icons by FatCow and Glyphicons. Libraries by Stephen Levithan, Franz Antesberger, and Federico Romero. Grimwire by Paul Frazee. Licensed MIT.


This is a MEAN stack project. Pie charts are created using d3.js, achieved with much effort, pain and hair pulling. It was a very informative project to work upon, teaching me a lesson to plan out things as best I can before starting. Though it is also important to realize changes will occur and making it as easy as possible to refactor is the best strategy. The source code is located on GitHub.


Cyber Whale operates to bring you custom digital sevices with continuous
delivery and all-parts-matter user fulfillment strategy.
As a foundation for this, we are focused on
3 success "whales":
Using a combination of best practices like Agile and contionous delivery, we ship flexible, efficiient, secure
solutions for web, mobile, enterprise domains.
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solutions for web, mobile, enterprise domains.
We build business solutions by using deep learning and machine learning algorithms..
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We deliver business intelligence services so your organisation is governed by grounded truths.
With no further hesitation, let us know what's your digital need


#5 Assignment - Xv6
Prerequisite
We assumed that you have already cloned the Xv6 repository and added
shutdown
system call successfully as
described step by step in class.
In these questions of this homework,
you are asked to modify the kernel of Xv6 as the questions wishes.
After completing the questions, please add the
attached script file
into the directory
of xv6-public
, and then run
./submission.sh
. Then, a file is generated in
the previous directory of xv6-public
named xv6.tar
. The size of the
file should not exceed 1MB. If exceeds,
make clean
then run again the script.
Put xv6.tar
beside your other codes in a zip file to submit on LMS.
Question 1
You may experience using !!
command
in terminal of Linux systems such as ubuntu.
This command at the execution time returns the most recently used command in the terminal
(i.e. previous command).
Add this feature to Xv6 kernel.
Hint: you should keep track of commands which are executed within the terminal.
Example
$ wc README
50 314 2246 README
$ !!
wc README
50 314 2246 README
$
Question 2
Challenging!
As hinted in the previous question,
implement a mechanism in the console of Xv6 to keep
track of commands that are executed on the system from the
terminal. In this question, only the top 10 recently executed is enough.
Add a feature to the console which we can switch between previous commands
using up and down arrow keys of the keyboard. (e.g. pressing 5 times up arrow key should
show the fifth recent executed command)
A file
kbd.h
is attached. You may use the keyboard constants written in that file.
However, this file is already included into the Xv6.
Question 3
Add a new system call to xv6. The system call you add must return information about processes in
the RUNNING or RUNNABLE state as an array of struct proc_info
.
This array must be sorted in ascending order according to the memory usage of each process.
Structure proc_info
is defined as follow.
struct proc_info {
int pid;
int memsize; // in bytes
};
You should write a test program for this system call. The test program may use the
fork()
system call to create some processes and
malloc()
system call to allocate some randomly sized memory
for each process. Try to prove that your system call works as described. Note that:
- The process table is in the proc.c file;
- The proc struct is implemented in proc.h file. This struct represents the process control block;
- You should add the test file to UPROGS list in Makefile;
- If you define a new source file, you should add it to Makefile;
- You may need to share the process table so that other source files can access it.
Deadline
- Wednesday 23rd Dec. 23:00
Submission
Submit just a zip file, containing your codes, in LMS. The file should be named as
[9752xxxx.zip
].
For example 97521234.zip
.


Sign-in Forms styled with Bulma - source code
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|
SharpNEAT
C# implementation of NEAT
|
Represents a list of ConnectionMutationInfo objects. More...
Public Member Functions | |
| ConnectionMutationInfoList () | |
| Constructs an empty list. More... | |
| ConnectionMutationInfoList (int capacity) | |
| Constructs an empty list. More... | |
| ConnectionMutationInfoList (ICollection< ConnectionMutationInfo > copyFrom) | |
| Copy constructor. We make individual copies of the list items (deep copy), rather than only copying the item object references. More... | |
| void | Initialize () |
| Initialize the list. Call this after all items have been add to the list. This creates a RouletteWheelLayout based upon the activation probability of each item in the list. More... | |
| ConnectionMutationInfo | GetRandomItem (IRandomSource rng) |
| Gets one of the ConnectionMutationInfo items at random based upon the ActivationProbability of the contained items. More... | |
Properties | |
| DiscreteDistribution | RouletteWheelLayout [get] |
| Gets the RouletteWheelLayout for the items in the list. This is based upon the activation probability of each item in the list at the time Initialise was called. More... | |
Represents a list of ConnectionMutationInfo objects.
Also hold a RouletteWheelLayout built from the activation probability values of the contained ConnectionMutationInfo objects. This can be used to select a mutation type to use within the NeatGenome mutation routines.
| SharpNeat.Genomes.Neat.ConnectionMutationInfoList.ConnectionMutationInfoList | ( | ) |
Constructs an empty list.
| SharpNeat.Genomes.Neat.ConnectionMutationInfoList.ConnectionMutationInfoList | ( | int | capacity | ) |
Constructs an empty list.
| SharpNeat.Genomes.Neat.ConnectionMutationInfoList.ConnectionMutationInfoList | ( | ICollection< ConnectionMutationInfo > | copyFrom | ) |
Copy constructor. We make individual copies of the list items (deep copy), rather than only copying the item object references.
| ConnectionMutationInfo SharpNeat.Genomes.Neat.ConnectionMutationInfoList.GetRandomItem | ( | IRandomSource | rng | ) |
Gets one of the ConnectionMutationInfo items at random based upon the ActivationProbability of the contained items.
| void SharpNeat.Genomes.Neat.ConnectionMutationInfoList.Initialize | ( | ) |
Initialize the list. Call this after all items have been add to the list. This creates a RouletteWheelLayout based upon the activation probability of each item in the list.
|
get |
Gets the RouletteWheelLayout for the items in the list. This is based upon the activation probability of each item in the list at the time Initialise was called.


--- layout: default --- {% assign leftSidebarCards = "author, links" | split: ', ' %} {% include sidebar.html cards=leftSidebarCards %}


[Erowid Warning: Our understanding of the literature is that there is no such thing as safe use of volatile solvents, aerosols and other street inhalants : their psychoactive effects are inseparable from nerve and organ damage. We have chosen to include these reports to help document the real world use of inhalants, but their inclusion is not intended to imply that they are anything but dangerous.]
My story starts out pretty simple. I was in my shed one day, and found a tank of freon (R-22). I had always looked down on huffing, but I was depressed, so I took a 'whippit' balloon and filled it up, inhaled, my voice got deeper, and this is where I started doing it frequently, making prank calls with 'the voice', etc. Finally, after about a week of inhaling on this 30lb tank, I got the weirdest feeling in my mouth. Like chalk dusk. There was even a little demon/gremilin that would appear at times. This was only the beginning.
Being in a 'fuck it' mood', I went to the shed and took a can of gas, opened the 'carb' hole (put there for east pouring) and sucked the fumes straight from the nozzle. At first I was just amazed my how the wood grains would form shapes and images, later I actually found myself talking to what I call 'gas buddies' (the hallucinations)
One day I was huffing and I thought my friend died because the hallucination of him came to me.
I found myself huffing not only for the visuals, but for the company of these imaginary 'friends' that would come to me when I would start to huff. I have been struggling with this addiction for about 7 months now, at one point in time, I noticed some neurological damage, for one side of my finger was numb for about a month. I still fight the constant urge to inhale the evil fumes. All the hours I spent, with my eyes closed, inhaling and visualising VERY prominent shapes, people, places, sometimes seeming so real that it felt as if I had been warped to another dimension.
I always just thought kids huffed to get a buzz, I never got that, I thought I was the only one who hallucinated off of it. For a while I thought it was brain damage, which I know now, that I do have some brain damage. (If I look at an object for a couple seconds and close my eyes, it's outline will appear in various colors).
At one point in time, I was contacted by a guy's voice, his name was 'Lord Zonar'. He said, 'I will grant you three wishes to [used a very long, made up word] your parents.'
He kept saying this, it echoed in my head, I asked what the word meant... the reply, 'TO KILL' 'TO KILL' 'TO KILL', it kept echoing in my head over and over and I didn't touch the shit for about a day or two, but soon found myself in it's clutches again. I now have boarded up any possible openings to the shed, and put a padlock on it, giving the key to my mom.
If I were to include every sngle detail, bad or 'good', this would end up being a novel. All I can say is thanks to the people who submitted their reports on this similiar situation, for now I know I'm not the only one. I have experienced alot, from a to z, including crack cocaine, and IV drugs, but the psychological addicion of this fuel had been the hardest to quit. No joke.
If I could do it again, I wouldnt make the same mistake by even 'experimenting once', because as soon as I got those closed-eye visuals, I was hooked.
Take heed to my words. PLEASE. I am less 'scarred' by my past IV use, than I am by this horrid, horrid addiction of huffing.
Peace,
Eniac
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Automatic generation produced by ISE Eiffel
note
description: "Strings for the Graphical User Interface"
author: "Generated by the New Vision2 Application Wizard."
date: "$Date: 2016/5/14 17:44:54 $"
revision: "1.0.0"
class
INTERFACE_NAMES
create
default_create
feature -- Access
Button_ok_item: STRING_8 = "OK"
-- String for "OK" buttons.
Menu_file_item: STRING_8 = "&File"
-- String for menu "File"
Menu_file_new_item: STRING_8 = "&New%TCtrl+N"
-- String for menu "File/New"
Menu_file_open_item: STRING_8 = "&Open...%TCtrl+O"
-- String for menu "File/Open"
Menu_file_save_item: STRING_8 = "&Save%TCtrl+S"
-- String for menu "File/Save"
Menu_file_saveas_item: STRING_8 = "Save &As..."
-- String for menu "File/Save As"
Menu_file_close_item: STRING_8 = "&Close"
-- String for menu "File/Close"
Menu_file_exit_item: STRING_8 = "E&xit"
-- String for menu "File/Exit"
Menu_help_item: STRING_8 = "&Help"
-- String for menu "Help"
Menu_help_contents_item: STRING_8 = "&Contents and Index"
-- String for menu "Help/Contents and Index"
Menu_help_about_item: STRING_8 = "&About..."
-- String for menu "Help/About"
Label_confirm_close_window: STRING_8 = "You are about to close this window.%NClick OK to proceed."
-- String for the confirmation dialog box that appears
-- when the user try to close the first window.
end -- class INTERFACE_NAMES
-- Generated by ISE Eiffel --
For more details: www.eiffel.com


This page offers two basic drag and drop examples. The first one is implemented using html5 drag and drop functionality, which protractor is not able to handle at the moment due to a bug in selenium webdriver.
The second example is implemented using javascript event listeners and css manipulation of the moving DOM object.


Black Panther is the first Marvel Comics movie to be centred around an African superhero. There had been a lot of hype leading up to its premiere mainly because of its predominantly black cast and black director. In addition to these, it was filmed in South Africa, Zambia and Uganda amongst others. It was release in February which is celebrated as Black History Month in the USA. In fact, if you were black this was the movie to watch.
I had never read any of the comics and therefore had never been familiar with the Black Panther character. Having enjoyed watching a few other Marvel movies, I was indeed curious to see how the movie would turn out. I was certainly drawn in by the hype; but how could this movie live up to such grand expectations? There was no need to worry. Not only did I thoroughly enjoy the movie, but I also went about urging family and friends to watch it too.
In this article I present a few factors which reveal the faithfulness of Africa's representation in Black Panther.
In southern Cameroon, there is an ethnic group called Fang Beti and they speak Fang which is common to other ethnic groups in neighbouring countries such as Gabon, the Democratic Republic of Congo, and so on. In Fang, if you want to say ‘We are going home’, you would say ‘Wah-Kuh-Andah’. This is certainly how I felt as I watched the movie and heard the word ‘Wakanda’ spoken out. Although Wakanda is a fictitious place, I was very impressed to hear the actors speaking Xhosa which is one of the official languages of South Africa. Though heavily accented, I could tell that the actors had practiced the language extremely well and I was glad that the directors had chosen not to go for a fictitious language.
The realistic nature of the costumes and jewellery used is a real credit to the movie’s production designer and costume designer. T’Challa is featured wearing a Kente scarf in one of the scenes taking place in Busan. This fabric is native to the Akan people of Ghana, West Africa. Zuri’s flowing robes, are known as Gandoura in northern and central Africa. Bright blue blankets worn by W’Kabi are native to Lesotho. The Isicholo hat worn by queen Ramonda is a Zulu headdress and Ndebele neck rings worn by the Dora Milaje are native to parts of South Africa and southern Zimbabwe. Such a variety really shows how much effort was made to bring Africa’s diverse culture under one roof.
The women of Wakanda brought an especially warm feeling to my heart. From their natural hairstyles to their fierce nature, they truly did justice to the African woman. I could totally relate to Okoye’s shaved head and Nakia’s short hair, which I sported in secondary school and during school holidays respectively. The Dora Milaje army are also reminiscent of the Dahomey Amazons which were an all-female military regiment of up to 6000 warriors in the Kingdom of Dahomey, present-day Republic of Benin. Although it isn’t clear whether or not the Dora Milaje were modelled after the Dahomey Amazons, it is certainly refreshing to see black women portrayed as fierce and loyal as opposed to the angry black woman stereotype.
Talking about stereotypes, it is common practice to see African countries portrayed as starving backward third-world countries led by incompetent dictators which need to be rescued by foreign aid from Europe and the USA. It is true that this is prevalent in some African countries. However, many others are extremely rich in natural resources and quite a few of them are run by great leaders. I was enthralled to see Wakanda being portrayed as a nation thriving off its natural resources and making great technological advancements under the watchful eye of a diligent king.
The practice of ancestral worship and spirit animal rituals was common to most parts of Africa before the advent of the Europeans. In fact, to this day, it is still practiced by many ethnic groups. In Cameroon, for example, twenty per cent of the population practice various forms of ancestral worship which is passed down from generation to generation. The movie does a great job bringing this practice to life during T’Challa’s coronation ceremony. His spirit animal becomes the black panther when, after performing certain rituals, he is initiated as King of Wakanda and gains the ability to communicate with his ancestors in the world beyond. This is quite similar to the initiation of chiefs in to the Ekpe secret society which is active in Nigeria, Cameroon and Cuba. Ekpe, which is also known as Leopard, is a mysterious jungle spirit presiding over the society’s ceremonies. Its members are said to act as messengers of the ancestors.
Not only was the movie steeped in culture, but it was also well laced with humour. I couldn’t help thinking about village elders when the camera zoomed in on T’Challa’s sandal clad feet. Neither could I help thinking about my cousin who actually took her driving test without shoes, when Nakia was shown driving bare footed while in Busan. The funniest scene to me was the one where M’baku threatens to feed Everret to his children. It might seem odd that an African tribe is vegetarian because most Africans today, including myself, are meat lovers. As a matter of fact, I don’t think there is a single vegetarian restaurant in Cameroon. However, unbeknownst to many, there are quite a few African tribes which are largely vegetarian. For example, the Dinkas of Sudan eat lots of grain and sea food while the Kikuyus of Kenya eat lots of grain, tubers and insects.
All in all, the movie did a great job of representing the diversity of the African continent and presenting positive role models for future generations. Hopefully this movie will only be the beginning of many more of such to come.
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PSALMS
BOOK ONE
1
The Way of the Righteous and the Wicked
1 Blessed is the man
who walks not in the counsel of the wicked,
nor stands in the way of sinners,
nor sits in the seat of scoffers;
2 but his delight is in the law of the LORD,
and on his law he meditates day and night.
3 He is like a tree
planted by streams of water
that yields its fruit in its season,
and its leaf does not wither.
In all that he does, he prospers.
4 The wicked are not so,
but are like chaff that the wind drives away.
5 Therefore the wicked will not stand in the judgment,
nor sinners in the congregation of the righteous;
6 for the LORD knows the way of the righteous,
but the way of the wicked will perish.


If the player rolls a 1, they score nothing and it becomes the next player's turn.
If the player rolls any other number, it is added to their turn total and the player's turn continues.
If a player chooses to "pass", their turn total is added to their score, and it becomes the next player's turn.
Pig Dice


If you have a name that is different than your legal name that people know you by, enter your full preferred name.


jsQR Demo
View documentation on Github
Pure JavaScript QR code decoding library.
🎥 Unable to access video stream (please make sure you have a webcam enabled)
No QR code detected.
Data:


You are currently reading the help screen for the home page of our application.
Please read the below content to hopefully answer any questions you have.
C.A.R.S.:
By clicking the C.A.R.S. logo (Crash Analysis Reporting System), you will be redirected to the home page.
Categories:
If you click on the Categories drop-down menu, you will be given the option to pick one of three categories.
The first option allows you to analyze the the likelihood of a general car accident based on the age of a car.
The second option is for analyzing the likelihood of an accident having multiple fatalities given a certain
car (make and model). The final option allows you to calculate the likelihood of an accident when given
a specific geographic location.
By Car Age:
This button will redirect you to the page that allows you to analyze the likelihood of a general car
accident based on the age of a car.
By Make, Model, and Year:
This button will redirect you to the page that allows you to analyze the likelihood of an accident having
multiple fatalities given a certain car (make and model).
By Location:
This button will redirect you to the page that allows you to to calculate the likelihood of an accident when
given a specific geographic location.
For any further questions, please refer to our GitHub repository: MSCS-Project


Created a personal website to work on my development skills, showcase projects, and connect with people.
Skills: flask, API, boostrap, CSS, HTML, python, OOP, deployment
Created this package as a way to implement the Strava API to automatically get my running data. Additionally, performed some Machine Learning Models are my data!
Skills: API, Plotly, python, data wrangling, Machine Learning, SVM, model comparison
One of the best ways to learn about modeling is to just mess around with all models. The goal of this repo is to employ different models, hyper-tuning techniques, and software structure.
Skills: Machine Learning, model training, OOP, Regression, SVM, Neural Network, Bootstrap, Random Forest, Classifier, Hypyer-tuning
Nodes, edges and weights are commonly used in data science today as the world increasingly places more value on network graphs. This graph allows the user to explore relationships between board games that are commonly played amongst the same user.
Skills: edges, nodes, weights, d3, flask, data wrangling, javascript, html, OOP
This geographical illustration lets the user interact and see where games are popular across the world! You'd be surprised by the amount of board game data available for data science!
 I wanted to work on some of my interactive data visualization skills and decided to use board game data as inspiration.
Skills: d3, flask, data wrangling, javascript, html, OOP
Created a package that analyzes my Garmin data and creates graphs to help explore my training data and fitness levels over time.
Skills: pandas, Google Charts, python package, data wrangling
Create a package that allows python and Finance to integrate seamlessly. Thus far, I have created cron tasks that will automatically text/email me updates as I see fit. I have fully integrated TD Ameritrade's API both for historical and streaming data.
Skills: ML, cron, python, data wrangling, RESTful and Streaming API, Websockets, algorithms, Finance


com.octo.captcha.j2ee.servlet
Class ImageCaptchaFilter
java.lang.Object
|
+--com.octo.captcha.j2ee.servlet.ImageCaptchaFilter
- All Implemented Interfaces:
- javax.servlet.Filter
- public class ImageCaptchaFilter
- extends java.lang.Object
- implements javax.servlet.Filter
ImageCaptchaFilter is a J2EE Filter designed to add image captchas to the
entry forms of existing MVC web applications.
Current features of ImageCaptchaFilter are:
- Generation and rendering of Captcha images (as JPEG) at runtime for
inclusion in an existing entry form. ImageCaptchaFilter use a
ImageCaptchaEngine to generate captchas : a simple one
(com.octo.captcha.image.gimpy.MultipleGimpyEngine, which displays a
random string composed with characters A,B,C,D and E) is provided
with jcaptcha-j2ee, but you can code your own or use one of those
provided with jcaptcha-sample ;
- Verification of the HTTP client entry in response to the challenge
displayed as an image in the entry form: Redirection of the HTTP
client to an error page if the captcha challenge is not passed ;
Transparent follow up of the request to the web application, without
any information concerning the captcha, if the challenge is
successfully passed ;
Many forms can be protected by captchas in the same web application,
each one having its own error redirection page ;
The JMX Management interface for ImageCaptchaFilter is PixCaptchaFilterMbean.
- Version:
- $Id: ImageCaptchaFilter.java,v 1.6 2004/02/20 10:09:28 sbrunot Exp $
- Author:
- Sebastien Brunot
|
Field Summary |
static java.lang.String |
CSV_DELIMITER
The delimiter used to specify values as CSV in a string in web.xml
(used for verification URLs, etc...) |
static java.lang.String |
JMX_REGISTERING_NAME
Name under witch the CaptchaFilter is registered to an MBean server |
|
Method Summary |
void |
destroy()
|
void |
doFilter(javax.servlet.ServletRequest theRequest,
javax.servlet.ServletResponse theResponse,
javax.servlet.FilterChain theFilterChain)
|
void |
init(javax.servlet.FilterConfig theFilterConfig)
|
| Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
JMX_REGISTERING_NAME
public static final java.lang.String JMX_REGISTERING_NAME
- Name under witch the CaptchaFilter is registered to an MBean server
- See Also:
- Constant Field Values
CSV_DELIMITER
public static final java.lang.String CSV_DELIMITER
- The delimiter used to specify values as CSV in a string in web.xml
(used for verification URLs, etc...)
- See Also:
- Constant Field Values
ImageCaptchaFilter
public ImageCaptchaFilter()
init
public void init(javax.servlet.FilterConfig theFilterConfig)
throws javax.servlet.ServletException
- Specified by:
init
in interface javax.servlet.Filter
javax.servlet.ServletException
- See Also:
Filter.init(javax.servlet.FilterConfig)
doFilter
public void doFilter(javax.servlet.ServletRequest theRequest,
javax.servlet.ServletResponse theResponse,
javax.servlet.FilterChain theFilterChain)
throws java.io.IOException,
javax.servlet.ServletException
- Specified by:
doFilter
in interface javax.servlet.Filter
java.io.IOException
javax.servlet.ServletException
- See Also:
Filter.doFilter(javax.servlet.ServletRequest,
javax.servlet.ServletResponse,
javax.servlet.FilterChain)
destroy
public void destroy()
- Specified by:
destroy
in interface javax.servlet.Filter
- See Also:
Filter.destroy()
Copyright © 2003-2004 JCaptcha corp.. All Rights Reserved.


{include file='index/public/header'} {include file='manageblog/public/menu'}
Create New Post
This is a sample description of a page

 This is some example text that you can edit inside the TinyMCE editor.


Magister Dieter:
Really? Thank you! However, is this Astrologer Creta trustworthy?
Solved that robbery case, huh? That's impressive. I am not familiar with such things but I get the sense there may be some truth to it. I will take your word for it.
If you are looking for clues, you may find this interesting. Here is the key to the chest that the stolen books were in.


|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object ioio.lib.util.BaseIOIOLooper
public class BaseIOIOLooper
A convenience implementation of IOIOLooper
.
This base class provides no-op implementations for all methods and provides
the ioio_
field for subclasses.
| Constructor Summary | |
|---|---|
BaseIOIOLooper()
|
| Method Summary | |
|---|---|
void |
disconnected()
Subclasses should override this method for performing operations to be done once as soon as IOIO communication is lost or closed. |
void |
incompatible()
Subclasses should override this method for performing operations to be done if an incompatible IOIO firmware is detected. |
void |
loop()
Subclasses should override this method for performing operations to be done repetitively as long as IOIO communication persists. |
void |
setup(IOIO ioio)
Subclasses should override this method for performing operations to be done once as soon as IOIO communication is established. |
| Methods inherited from class java.lang.Object |
|---|
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public BaseIOIOLooper()
| Method Detail |
|---|
public final void setup(IOIO ioio) throws ConnectionLostException, java.lang.InterruptedException
IOIOLooper
setup
in interface IOIOLooper
ConnectionLostException
java.lang.InterruptedException
public void loop() throws ConnectionLostException, java.lang.InterruptedException
IOIOLooper
loop
in interface IOIOLooper
ConnectionLostException
java.lang.InterruptedException
public void disconnected()
IOIOLooper
IOIOLooper.setup(IOIO)
must not be used from within this method - it is
invalid. This method should not block for long, since it may cause an
ANR.
disconnected
in interface IOIOLooper
public void incompatible()
IOIOLooper
IOIOLooper.setup(IOIO)
must not be used from within this method -
it is invalid. This method will only be called once, until a compatible
IOIO is connected (i.e. IOIOLooper.setup(IOIO)
gets called).
incompatible
in interface IOIOLooper
|
||||||||||
| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |


| 1018 | (A) | and sone brynges he the beryn to his bedde syde |
| 1022 | (C) | And browȝte þat man sodenly . to his beddes syde |
| 1005 | (D) | And bringith bysily þe berne to his beddis syde |
| 985 | (E) | & bryngeth hym euyn foorth . to his beddys syde . |
| (Ex) | ---- no text ---- | |
| 1043 | (L) | & yn bryngeþ þe burne to his beddes syde |
| 958 | (P) | And in brynges þat beryn to his bed syde |
| 996 | (U) | And bringes fortħ that beern / to his bed syde |
| 83 | (V) | And in brynges þe berin to his beddes side |


Preserve Response Content
Log Network Calls
Cick Toggle for Network Logs
hash
method
URL
status
time


About The Latte Segment
Sarah Madsen is a modern young rabbit with a cozy urban life. A yuppie, perhaps, though she’d disagree with the label. After all, yuppies don’t hang with eccentric artists in beat-down studios, much less date them. And they don’t get pushed out of their apartment by profit-hunting developers, forced to pick between an impossible market and an unsustainable rent.
As she hunts for a new place to live, she learns how her comfortable lifestyle is seen by those around her. Some are sympathetic and kind, some cold and indifferent, some jealous and hostile. None can relieve her frustration from knowing that her easy life is slowly slipping out of her control. She’ll take control anywhere she can find it, but not everyone appreciates her attempts to help. Not even herself.
A story of class and success in the millennial age, The Latte Segment explores how well we can trust others, and ourselves, to do the right things in our lives - or, to do anything about them at all.


You will need a stable internet connection and Skype (or a similar program) installed on your computer. A computer headset is optional, but recommended for the best learning experience.
A full refund will be made for all lessons cancelled by the language teacher. If you are unable to attend a scheduled lesson, you can reschedule based on the available time slots. A refund is generally not made for lessons cancelled by the student.


Below you can specify the desired headers to add or replace per each URL.
Use '*' as a wildcard (which you most likely want at the end of each URL: http://www.something.com/*)
For the full URL filter syntax, see: https://code.google.com/chrome/extensions/match_patterns.html
For a reference of CORS headers, see: http://www.w3.org/TR/cors/#syntax
You can find the full source code for this extension on GitHub: https://github.com/chrisdeely/ForceCORS
Icon made by Freepik from www.flaticon.com
| Header Name | Header Value |
|---|


Howdy, I am Shekhar and I am an Innovative and proactive Web Developer, talented in Website developing, team coordinating and independent problem-solving. Highly organized multitasking with expertise in developing multiple projects a time. Prepared to offer tasks completion under given time frame. Blends a detailed knowledge of programming skills. Proven experience in developing websites using technologies like Laravel, Node JS, Wordpress, Codeignitor, PHP, MYSQL, HTML, CSS, JQuery, JavaScript, AJAX and REST API.
I am a Web Developer and I have been working in this field since past 1.5+ Years with good amount of knowledge in coding.
Look at the below skills which I am having.
May 2019 - Present
As a Junior Web Developer of the Techno my role is to develop Online Web Applications using technologies like Laravel, Codeignitor, Wordpress, PHP, MYSQL, JQuery, JavaScript, HTML, CSS, Bootstrap and REST API.
At Techno I learned working under hard circumstances, creating robust coding, developing proper functionalities and completing tasks on given time frame, working with highly skilled senior developers and also coordinating every task status with Team Leader and CEO.
July 2017 - April 2019
Graduated with 7.76 CPI
July 2014 - May 2017
Graduated with 7.16 CPI
Content coming soon...


Mexico has seen a lot of economic improvement in recent years, but it still has a long way to go. Despite a growing middle class, there is still a huge segment of the population that is impoverished.
According to the Wilson Center, almost 46 percent of people in Mexico live in poverty. While rural residents in poverty suffer just as much, the inequality problem is especially explicit in big cities like Mexico City (as you'll see).
To provoke discussion on the issue, Mexican bank, Banamex (owned by Citigroup), launched a graphic public awareness campaign. It depicts the stark reality of poverty in one area of Mexico City. The bank hired photographer Oscar Ruiz to take some aerial pictures of the Santa Fé district in there. What he found is extremely disturbing.
Here you see the dilapidated buildings and houses of impoverished neighborhoods, butting up against the stunning villas and condos of a rich neighborhood.
Most of these area are separated by just a line of trees and fences.
The tagline on the ads reads: "This image has not been modified, it's time to change that."
These pictures are now up on billboards, and in publications across the country.
(H/T: Adeevee)
That is disturbing. It's crazy to think that income inequality can get that bad. Don't forget to share this story on Facebook and spread the word about the dangers of poverty.


Teen gets stitches after chasing robber, running into pole, police say
by Logan RudeMADISON, Wis. - One out-of-town visitor needed stitches for a head cut Saturday morning after an attempt to retrieve a stolen fanny pack went wrong, according to a news release.
The victim got into an argument with another man early Saturday morning, police said. The man stole the victim's fanny pack, which had cash in it. Police said the teen chased after the man, but ran into a pole, suffering a head injury.
A nearby police officer saw the teen bleeding profusely inside a car and encouraged him to go to a hospital for help, according to the report.


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Name of New Facility
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Derrick Maxwell
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S321 SouthWork
London
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<EMAIL_ADDRESS>Dr. Joshua Klin
Director
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London
United Kingdom
+96568965
<EMAIL_ADDRESS>| Staff Name | Designation | Registration No | Mobile | ||
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Mohammad Mustafa
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Effects of Auditory Feedback on Menu Selection in Hand-Gesture Interfaces
Josh Mills
2016-02-25
Focus of this study
The proposal
Gesture Interface Example
Article's Aim
Conventional Auditory Feedback
Issue with transitional auditory feedback for gestural interface
Solution
Preemptive Auditory Feedback
Another Solution
Continuous Auditory Feedback
When it comes to the touching gesture, finding the location of the touch surface is a difficult task for the user
Study Design
Results
The difference in selection times between the transitional auditory feedback and visual-only feedback
conditions was not significant
The preemptive auditory feedback did not yield significant difference in selection time when compared with
visual-only and transitional auditory feedback conditions, indicating that participants selected slightly faster
when using continuous auditory feedback and depth auditory feedback
Accuracy
participants selected more accurately when using preemptive auditory feedback and depth auditory feedback
Overall, depth auditory feedback gave the best performance, achieving the highest accu- racy and the quickest
selection time
It was the only feedback that yielded significantly better performance than both visual-only feedback and
conventional or tran- sitional auditory feedback
The mean selection time of the transitional auditory feedback condition was 2.76 seconds, 4.4 percent faster than the
visual-only feedback
both the continuous and depth auditory feedback conditions showed much larger and statistically significant improvements in the mean selection time,
resulting in 13.6 and 15.5 percent increases, respectively
Continuous Auditory Feedback
Depth Auditory Feedback
The mean selection accuracy of the visual-only feedback condition was 90 percent; for the transitional auditory feedback condition, it was 89.5 percent, which was close to the visual-only feedback condition
Results
The mean selection accuracy of the visual-only feedback condition was 90 percent; for the transitional auditory feedback condition, it was 89.5 percent, which was close to the visual-only feedback condition


Hierarch:
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Prolog Macros
Introduction
In the Lisp community, macros are always a big deal. A
Lisp macro rewrites Lisp code.
Very often, the phrase "code is data" is used in this context. But
this also holds for example for C and Java code: C code
is also data, and you can store and access C code as a
plain text file. Therefore, this does not capture the main
reason why we should care about Lisp macros especially. In a more
limited sense, a C preprocessor also supports macros.
What, then, is the core difference between Lisp and C
macros? Clearly, Lisp macros are much more powerful because
they can easily analyze Lisp code. Why is this? Because Lisp
code has a natural, structure-preserving representation as
a Lisp data structure! This is not the case for C
or Java. For example, there is no built-in data structure
in C that faithfully represents C source code in a
structure-preserving way. We can represent C
source code within C as an array of characters, but that does
not preserve the abstract structure of the source code, and
it makes basic operations extremely hard. For example:
- Which variable names occur in the program?
- How many if-then-else constructs are used in the code?
- Are there tail-recursive functions?
These are questions that are hard to answer in the case of C
because it is hard to reason about the structure of
C programs in an abstract way, at least much harder than it
is in the case of Lisp.
The point of this page is to show you that Prolog has a mechanism
that works much like macros in Lisp. In fact, macros
are a lot easier to write in Prolog for several reasons. For
example, you do not have to quote Prolog code when
reasoning about it or generating it, and you cannot
accidentally run into name clashes with different
variables. This simplicity is the main reason why Prolog
programmers are not as hysteric about this feature as several
other language communities. In Prolog, this facility is simply
available, and easily used when needed.
Code is more than data
Of course, code is data: We write it down, we read it.
Prolog code is more than simply "data" though: Every Prolog
clause is a valid Prolog term.
This is
structured data, which we can analyze and process
systematically using built-in
features of Prolog.
For example, consider a simple Prolog rule:
f(X, Y) :- g(X), h(Y).
This is the following Prolog term:
- the functor name
is :-, and the arity is 2
- the first argument of the term is the term f(X, Y)
- the second argument is the compound term ','(g(X),
h(Y)), which in turn again has two arguments.
If you are ever unsure about what a term "actually" is,
use write_canonical/1 to obtain the
term's canonical form:
?- write_canonical( (f(X, Y) :- g(X), h(Y)) ).
:-(f(A,B),','(g(A),h(B)))
In the canonical form, all compound terms are output
in functional notation.
Note that we have used parentheses around the term to properly
indicate the single argument of write_canonical/1.
Rewriting Prolog code
All widely used Prolog systems provide mechanisms that let
you rewrite Prolog code at compilation time.
The advantage is clear: You can perform complex transformations of
Prolog code once at compilation time, resulting in often
faster code at run time.
In Prolog systems, this facility is typically provided
by extensible predicates called term_expansion/2
and goal_expansion/2. These predicates take
2 arguments:
- the first argument is a Prolog term as it occurs in the
program that is being compiled
- the second argument denotes the replacement of the term.
If a clause of this extensible predicate succeeds, then the
replacement term is used instead of the
original term during compilation.
If your Prolog system does not provide this facility, you can
easily implement it yourself, using the built-in
predicate read/1 to read Prolog terms from a file.
Examples
See the implementation
of DCGs for an example of term expansion that is
used in almost all widely available Prolog systems. In this
case, the expansion mechanism is used to automatically
equip DCG rules and all DCG nonterminals with 2
additional arguments in a systematic way.
In Scryer Prolog, integer arithmetic serves
as an example of goal expansion. For instance, consider the
following Prolog rule whose body consists of a single goal:
integer_successor(I0, I) :- I #= I0 + 1.
To see how this is automatically expanded, declare the predicate
dynamic via the dynamic/1 directive, and
use listing/1 from library(format):
?- listing(integer_successor/2).
integer_successor(A,B) :-
( integer(B) ->
( integer(A) ->
B=:=A+1
; C is B,
clpz:clpz_equal(C,A+1)
)
; ( integer(A) ->
( var(B) ->
B is A+1
; C is A+1,
clpz:clpz_equal(B,C)
)
; clpz:clpz_equal(B,A+1)
)
).
This example illustrates that low-level integer arithmetic is
automatically used whenever possible, even if you use
higher-level constructs which also work in other directions.
More about Prolog
Main page


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Wei-Ting Lu
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Hi, I'm Wei-Ting!
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