Abdullah Abdullah is currently a 3rd year student at McMaster studying Software and Biomedical Engineering. He has a passion for web development looking to break in as a full stack developer. As a university student Abdullah has taken courses both spanning from software engineering and biomedical engineering giving him an interdisciplinary mindset. Abdullah through his project and school work has experience in various technologies and languages. When not coding or studying, Abdullah enjoys powerlifting, playing soccer and PC gaming.
Created models, animations and engineering drawings for wheelchairs which were utilized to create highly readable instruction manuals to construct and utilize the wheelchair to its full capacity. Employed the use of Adobe premiere and Autodesk inventor to create animated assembly videos for construction of the wheelchair. Utilized Engineering design principles to construct and test wheelchair components to ensure quality control and user satisfaction.
The Software and Biomedical Engineering program is a five-year program where students are required to complete core Software Engineering courses in addition to project- and design-based courses from the iBioMed program
Created a database using SQL to store employee and department data in an efficient manner. Developed a RESTAPI using ASP .NET and tested it using postman to manage data within the application. Implemented the MVC design pattern to reduce code duplication and to ensure modification of front end does not affect the model. Efficiently developed highly engaging front end for the application using Angular along with Bootstrap
View ProjectDeveloped an Interactive Covid-19 tracking application calling the Disease.sh API which displays data in map, line graph and numerical format using Node.js, React and CSS. Incorporated Material-UI components to create a well-balanced and modern user interface to increase user retention
View ProjectAutomated the purchasing of Supreme products from their website using python, Selenium and Beautiful Soup. Launched Bot on drop day to obtain high values items at below market value leading to 1000$+ of profit
View ProjectDeveloped a program in Assembly that computes the palindrome array of an input array and outputs it as an array and a as bar graph
View ProjectCreated a game using the Unity Game Engine. Implemented 3D physics and user game control using C#. Developed UI for start,intermediate and end screens of game.
View Project


A paragraph consists of one or more sentences that form a self-contained unit of discourse.The start of a paragraph is indicated by a new line.
Text is easier to understand when it is split up into units of text.For example. a book may have chapters.Chapters can have subheadings. Under each heading there will be one or more paragraphs.


Server class
An HTTP server that acts as a proxy between HTML clients and Akismet service.
Constructors
Properties
final InternetAddress address #
Returns the address that the server is listening on, or null
if the server is not started.
Methods
void checkComment(HttpRequestBody body) #
Checks a core.Comment against the service database, and prints a value indicating whether it is spam.
Future start(address, int port) #
Starts listening for HTTP requests on the specified address and port. The address can either be a String or an InternetAddress.
The returned Future completes when the server is started.
Future stop({bool force: false}) #
Permanently stops this server from listening for new connections.
If
force is true
, active connections will be closed immediately.
The returned Future completes when the server is stopped.
void submitHam(HttpRequestBody body) #
Submits a core.Comment that was incorrectly marked as spam but should not have been.
void submitSpam(HttpRequestBody body) #
Submits a core.Comment that was not marked as spam but should have been.
void verifyKey(HttpRequestBody body) #
Checks an API key against the service database, and prints a value indicating whether it is a valid key.


user.h
GitHub: base/user.h base/user.cc
Top-level Functions
user_by_id()
namespace base { base::Result user_by_id(User* out, int32_t id); }
RC. Retrieves a local system user by user ID.
user_by_name()
namespace base { base::Result user_by_name(User* out, const std::string& name); }
RC. Retrieves a local system user by user login name.
group_by_id()
namespace base { base::Result group_by_id(Group* out, int32_t id); }
RC. Retrieves a local system group by group ID.
group_by_name()
namespace base { base::Result group_by_name(Group* out, const std::string& name); }
RC. Retrieves a local system group by group name.
User
namespace base { struct User { int32_t uid; int32_t gid; std::string name; std::string gecos; std::string homedir; std::string shell; User(int32_t uid = -1, int32_t gid = -1, std::string name = std::string(), std::string gecos = std::string(), std::string homedir = std::string(), std::string shell = std::string()) noexcept; User(const User& other); User(User&& other) noexcept; User& operator=(const User& other); User& operator=(User&& other) noexcept; void reset() noexcept; void swap(User& other) noexcept; void append_to(std::string* out) const; std::size_t length_hint() const noexcept; std::string as_string() const; }; void swap(User& a, User& b) noexcept; bool operator==(const User& a, const User& b) noexcept; bool operator!=(const User& a, const User& b) noexcept; }
RC. User is a value type which holds metadata about a Unix user, typically a local system user.
User::User()
Constructs a User value.
- The 6-arg constructor with all args optional sets the fields to the values provided, or else to the defaults listed above. When all six args are omitted, this constructor doubles as the default constructor.
- The copy constructor works in the usual way.
- The move constructor works in the usual way, and leaves the moved-from object in the default-constructed state.
User::operator=()
Assigns to a User value. The copy and move assignment operators work analogously to the respective constructors.
User::reset()
Resets this User value to the default-constructed state.
User::swap()
Swaps two User values.
User::append_to()
Stringifies this User and appends it to the given string.
User::length_hint()
Returns the estimated length of this User's stringification.
User::as_string()
Stringifies this User and returns it.
User::operator==()
User::operator!=()
Compares two User values for (in)equality, field-by-field.
Group
namespace base { struct Group { int32_t gid; std::string name; std::vector<std::string> members; Group(int32_t gid = -1, std::string name = std::string(), std::vector<std::string> members = std::vector<std::string>()) noexcept; Group(const Group& other); Group(Group&& other) noexcept; Group& operator=(const Group& other); Group& operator=(Group&& other) noexcept; void reset() noexcept; void swap(Group& other) noexcept; void append_to(std::string* out) const; std::size_t length_hint() const noexcept; std::string as_string() const; }; void swap(Group& a, Group& b) noexcept; bool operator==(const Group& a, const Group& b) noexcept; bool operator!=(const Group& a, const Group& b) noexcept; }
RC. Group is a value type which holds metadata about a Unix group, typically a local system group.
Group::Group()
Constructs a Group value.
- The 3-arg constructor with all args optional sets the fields to the values provided, or else to the defaults listed above. When all three args are omitted, this constructor doubles as the default constructor.
- The copy constructor works in the usual way.
- The move constructor works in the usual way, and leaves the moved-from object in the default-constructed state.
Group::operator=()
Assigns to a Group value. The copy and move assignment operators work analogously to the respective constructors.
Group::reset()
Resets this Group value to the default-constructed state.
Group::swap()
Swaps two Group values.
Group::append_to()
Stringifies this Group and appends it to the given string.
Group::length_hint()
Returns the estimated length of this Group's stringification.
Group::as_string()
Stringifies this Group and returns it.
Group::operator==()
Group::operator!=()
Compares two Group values for (in)equality, field-by-field.


Janelle Monáe to star in new Bush+Renz thriller Antebellum
by Natalia PanzerWatch the teaser below.
Janelle Monáe is continuing to expand her acting portfolio with a new leading role in directors Gerard Bush and Christoper Renz’s latest film Antebellum.
Monáe stars as a successful author, Veonica Henley, who “finds herself trapped in a horrifying reality and must uncover the mind-bending mystery before it’s too late.”
This casting follows other feature film roles in Robert Zemeckis’ Welcome to Marwen (2018), Theodore Melfi’s Hidden Figures (2017) and Barry Jenkins’ Moonlight (2016).
Monáe’s own audiovisual project Dirty Computer, which included an album and self-described “emotion picture” film, was released last year via Wondaland Arts Society, Bad Boy Records and Atlantic.
Antebellum arrives in cinemas April 24, 2020 via Lionsgate.
Read next: The Electric Lady
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Bolivia's Morales denounces 'illegal' police warrant for his arrest: tweet
LA PAZ (Reuters) - Bolivia’s embattled President Evo Morales, who resigned hours earlier, denounced what he called an “illegal” police warrant for his arrest and said his home was attacked by “violent groups,” according to a statement on Twitter on Sunday.
Reuters could not immediately confirm the existence of a warrant with police officials.


2019 Hyundai Kona Electric long-term review: Tyre upgrade
What impact do sporty tyres have?
by Scott Collie$64,490 Mrlp
- Fuel Economy
N/A - Engine Power
150kW - CO2 Emissions
N/A - ANCAP Rating
5Stars
Looking for a deal on this car?
Tyres are important! We've fitted our Kona EV long-termer with new rubber, and the difference is stark.
- shares
For all the good things about our long-term Hyundai Kona Electric, and there are plenty, we have one major complaint. The standard-fit tyres are a bit below par, to put it lightly.
Rather than opting for rubber capable of properly harnessing the impressive torque (395Nm) available from standstill, Hyundai fits Nexen N Fera SU1 tyres measuring 215/55R17.
It's easy to understand why: a quick scan of the Nexen website reveals they're relatively inexpensive, and our experience suggests they're very energy efficient.
The trade-off, though, is the fact they battle to put the motor's torque down up to 70km/h in the wet, and contribute to the car's brittle ride over bumps.
Given the Kona EV's impressive power figures, and the fact it has such a low centre of gravity, we decided to swap the factory rubber for something a bit racier.
The Michelin Pilot Sport 4, also available in the Kona's standard 215/55ZR17 configuration, seemed perfect.
The upsides of switching are immediately clear. Although it'll still chirp the fronts from standstill, the Kona finally feels capable of putting its power down at low speed.
It also rides much better than before. Rather than clattering into bumps with a smack, the Michelin-equipped Kona Electric has an extra degree of pliancy about it. The ride feels markedly better.
Handling has improved, too, with more grip inspiring more confidence in the car's chassis.
The new rubber isn't perfect, though.
For one, the Pilot Sport 4 is noisier than the N Fera SU1 above around 50km/h, transmitting more road noise to the cabin. On anything less than perfect blacktop, they're surprisingly uncouth.
You also get a lot more torque steer than before. Whereas the car would spin its wheels under power with the old boots fitted, it now has the grip to put it down.
The result is a steering wheel that tugs determinedly from side to side when you mat the accelerator, in a manner that'd be familiar to Ford Focus ST owners.
But the biggest trade-off is when it comes to energy efficiency.
On a 63km highway loop from our Melbourne office, the Kona averaged 12.3kWh/100km with the Nexen tyres fitted compared to 13.0kWh/100km with the Michelins. That's a not-insignificant 5.7 per cent increase.
With more grip comes more rolling resistance, and more rolling resistance means more battery consumption.
With that said, the Kona still has more than enough range for day-to-day driving, and based on our highway run you'd be able to do 490km on the freeway with a full charge onboard.
All things considered, has the switch been a positive one? Absolutely. The extra road noise is a bit annoying, sure, but finally being able to enjoy the Kona's performance is 100 per cent worth the trade-off – as is the car's improved ride around town.
More broadly, it has us wondering why Hyundai doesn't offer better tyres as a factory-fit option.
The idea of fitting a more performance-oriented tyre to an EV isn't absurd – Tesla runs Pilot Sport 4 rubber on the Model 3. Why not give Kona Electric buyers the choice?
Hyundai Kona Electric Highlander
Odometer: 9325km
Distance since last update: 1325km
Energy consumption since last update: 15.0kWh/100km
MORE: Long-term report one: Introduction
MORE: Long-term report two: Interior comfort and quality
MORE: Long-term report three: Infotainment
MORE: Long-term report four: City driving
MORE: Long-term report five: Road trip
MORE: Hyundai Kona news, reviews, comparisons and videos
MORE: Everything Hyundai
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2019 Hyundai Kona Electric long-term review: Tyre upgrade


getBngDiff():   Calculate normalized difference between two bearings
addHDG():   Adds and normalizes two bearings
invertHDG():   Inverts and normalizes heading
getMiddleAngle():   Calculates difference in two bearings and returns middle bearing


Invoice number: {{ invoiceResponse.invoiceNumber }}
Issued on: {{ invoiceResponse.issuedOn | date: "dd/MM/yyyy" }}
25/07/1980
Passport: B0987987
Issuing country: Italy
Residency country: Switzerland
07647380968
Via Milano, 1
20091 Milano - IT


A Pen by Ben
Notes
Stage 0
Key Terms/Ideas
HTML: HypertextMarkup Language
HTTP: Hypertext transfer protocol
Tags: These start and end a string of code, and give it a function to do something. Tags begin adn end with <> and end with < / >, telling the browser to interpret the HTML into a specific type of element
Inline vs. Block: In reference to whether the tag provides an output that is part of a continuous line vs. making an editable box of code.
Inserting Comments: To insert comments into the HTML code, you can use the tag < ! -- (without the spaces)
or as such>!>
Head: Element contains information that won't be displayed on the page
Title: Element normally sets the name of the browser tab
Linking a webpage: You can place the following code: a href="www.google.com" TEXT /a, or simply Google
Linking to an image: You can linke to an image by placing an inline tag img src="link to an image.jpg" alt="text" style="something by something" or simply


---
notes: |
Make sure you:
- Set a minimum length of at least 8 characters
- Don’t set a maximum length
- Explain the constraints to users
- Use a blacklist of commonly used passwords
Guidance on the use of passwords can be found here: https://www.gov.uk/service-manual/design/passwords
---


Hi,
Why are my kWh/d values so widely inaccurate (>400kWh / day) when the power consumption feed is accurate?
DASHBOARD with example of erroneous kWh/D values http://emoncms.org/lgrange
'Power' measurements from emonTXs successfully arrive as 'Inputs' on emoncms.org (every 5 seconds)
I created three feeds per power measurement to process and log power usage data as below.
# Process Arg
1 Allow positive 0
2 Log to feed TOTAL_Power
3 Power to kWh/d kWhd TOTAL_Power
4 histogram Hist TOTAL_Power
The 'TOTAL_Power' feed correctly records and displays current power consumption in dashboards etc.
The 'kWhd TOTAL_Power' feed records hundreds of kWh's, far in excess of actual consumption (10kWh/day)
All other measured power feeds processed this way produce a similar order of magnitude error.
Help, I had this working just fine previously and can't understand what is going wrong in the input processing?
Thanks in advance
Andrew
Re: Power to kWh/Day, input processing problem
Hi Andrew
I thought I was doing the maths wrong but I am not certain after reading your post if I am. I wrote an SQL script to extract the "power" from my power feed then broken that data up over 24 hrs based on my usage tariff. All fine until I then realised that my kwh figures were significantly lower than those produced by the visualizer for kwh or kwh/d.
Did you get anywhere figuring this out?
Revisiting my SQL I realised I was taking the average Watts per period of time then taking the average again which was clearly wrong.
Re: Power to kWh/Day, input processing problem
FYI - and this is most probably wrong knowing me! This should work in most MySQL idles - change the @date, @period_n_X and @cost as appropriate. If you are on a single tariff then you can just use section 7 or the final sql select. Also remember to rename the feed table as appropriate.


Username is required.
Username can not contain space.
Username should be minimum {{ username.errors.minlength.requiredLength }} characters.
Username is already taken.
Password is required.


EMTransactionSigningRequest
@interface EMTransactionSigningRequest : EMIncomingMessage <EMMessageMeta>
Interface of a transaction signing request from the OOB server.
Since
5.3-
Gets the locale the message is designed for.
Declaration
Objective-C
@property (readonly, copy, nonatomic) NSString *_Nonnull locale;
Swift
var locale: String { get }
Return Value
The locale.
-
Gets message subject
Declaration
Objective-C
@property (readonly, copy, nonatomic) NSString *_Nonnull subject;
Swift
var subject: String { get }
Return Value
The subject.
-
Gets the OTP type
Declaration
Objective-C
@property (readonly, nonatomic) EMTransactionSigningOtpMode otpMode;
Swift
var otpMode: EMTransactionSigningOtpMode { get }
Return Value
OTP type of the transaction signing request.
-
Returns the User Token Identifier (UTI).
The UTI is an unsigned value ranging from 0x00 to 0xFF (i.e. 0 to 255). It is generated by the provisioning server and is part of the credential pushed during provisioning. It is guaranteed that two tokens for the same end-user (on authentication server) and from the same EPS domain will never have the same UTI. See the Enrollment and Provisioning Server documentation for domains configuration description.
The UTI is defined only if the token has been created with Provisioning Protocol V3 or V5. When the token has been created with Provisioning Protocol V1 or V2 the method returns -1.
Declaration
Objective-C
@property (readonly, nonatomic) NSInteger userTokenIdForSigning;
Swift
var userTokenIdForSigning: Int { get }
Return Value
The user token id, -1 if none.
-
Gets the CAP OTP challenge The challenge is used for CAP Mode1 and Mode3.
Declaration
Objective-C
@property (readonly, copy, nonatomic, nullable) NSString *capChallenge;
Swift
var capChallenge: String? { get }
Return Value
challenge of the transaction signing request.
-
Gets the CAP OTP amount The challenge is used for CAP Mode1.
Declaration
Objective-C
@property (readonly, copy, nonatomic, nullable) NSString *capAmount;
Swift
var capAmount: String? { get }
Return Value
amount of the transaction signing request.
-
Gets the CAP OTP currency The challenge is used for CAP Mode1.
Declaration
Objective-C
@property (readonly, copy, nonatomic, nullable) NSString *capCurrency;
Swift
var capCurrency: String? { get }
Return Value
currency of the transaction signing request.
-
Gets the CAP OTP signing data for CAP Mode2_TDS. Data should only contain digits, maximum 10 digit per data and maximum 10.
Declaration
Objective-C
@property (readonly, copy, nonatomic, nullable) NSMutableArray *capData;
Swift
@NSCopying var capData: NSMutableArray? { get }
Return Value
signing data of the transaction signing request.
-
Gets the OCRA OTP server challenge This value is available only if the Otp Mode is OCRA.
Declaration
Objective-C
@property (readonly, copy, nonatomic, nullable) NSData *ocraServerChallenge;
Swift
var ocraServerChallenge: Data? { get }
Return Value
OCRA server challenge of the transaction signing request.
-
Gets the OCRA OTP client challenge This value is available only if the Otp Mode is OCRA.
Declaration
Objective-C
@property (readonly, copy, nonatomic, nullable) NSString *ocraClientChallenge;
Swift
var ocraClientChallenge: String? { get }
Return Value
OCRA client challenge of the transaction signing request.
-
Gets the OCRA OTP password hash This value is available only if the Otp Mode is OCRA. It depends on the the OCRA suite if password hash is used.
Declaration
Objective-C
@property (readonly, copy, nonatomic, nullable) NSData *ocraPasswordHash;
Swift
var ocraPasswordHash: Data? { get }
Return Value
OCRA password hash of the transaction signing request.
-
Gets the OCRA OTP session data This value is available only if the Otp Mode is OCRA.
Declaration
Objective-C
@property (readonly, copy, nonatomic, nullable) NSString *ocraSession;
Swift
var ocraSession: String? { get }
Return Value
OCRA session data of the transaction signing request.
-
Creates an outgoing response for this transaction signing request message.
Declaration
Objective-C
- (nonnull EMOutgoingMessage *) createWithResponse:(EMTransactionSigningResponseValue)aResponse otp:(nullable NSString *)otp meta:(nullable NSDictionary *)aMeta;
Swift
func create(response aResponse: EMTransactionSigningResponseValue, otp: String?, meta aMeta: [AnyHashable : Any]?) -> EMOutgoingMessage
Parameters
aResponse
The response to provide to the transaction. See enum EMTransactionSigningResponseValue.
otp
The OTP to send over to OOB server. Can be
nil
only if user denied the transaction.aMeta
The metadata for the message.
Return Value
The outgoing message ready to be sent.


About Me
Hi, I'm a fullstack developer, passionate about creating and developing web interfaces. I have many years of experience in this area of work, with multilpe quality projects.
Information
Experience and Support
My expertise Area
Frontend
Backend
My Education
2013 - 2017
University of StudiesDiploma Development
Frontend2017 - 2019
University of StudiesDiploma Development
Backend2019 - 2020
University of StudiesDiploma Design
UX/UIMy Services
Web Developer
This service that I offer is of high cuality and above all experience that I have in the labor field for many years.
Web Design
This service that I offer is of high cuality and above all experience that I have in the labor field for many years.
UI/UX
This service that I offer is of high cuality and above all experience that I have in the labor field for many years.
Backend Development
This service that I offer is of high cuality and above all experience that I have in the labor field for many years.
Content Writing
This service that I offer is of high cuality and above all experience that I have in the labor field for many years.
Responsive Design
This service that I offer is of high cuality and above all experience that I have in the labor field for many years.
Do you have a project in mind
I f you have a project that you want to carry out, do not hesitate and tell me what it is and what services I can offer you, contact me directly here.
Contact Me


WITNESS LIST Urban Affairs Committee April 5, 2005-8:00A HB 525 For: Brady, Hugh (City of Austin) Henneberger, John (Texas Low Income Housing Information Service) Way, Heather K. (Self) HB 751 For: Aghamalian, Brandon (City of Forth Worth Mayor and Council, City Manager) Tinnermon, Stephen (Office of The Mayor City of Houston) On: Henneberger, John (Texas Low Income Housing Information Service) HB 1606 For: Nelson, Paul R. (City of Houston) HB 2589 For: Aziz, Malik (Texas Peace Officers Association) Cerda, Gil (National Latino Peace Officers Assoc. Greater Dallas Chapter) DeCorte, Joe A. (Dallas Police Association) Ingram, Billy F. (Self and Dallas Black Firefighters Assoc.) Stidham, Bret (Dallas Fire Fighters Assn. Local 58) Walton, Michael (Self and Dallas Fraternal Order of Police) On: Moss, Janice S. (City Attorney and City Manager of City of Dallas) HB 2799 For: Cernosek, Larry (Texas Towing and Storage Association) Miller, Allan (Allan's Wrecker Service TTSA Texas Towing and Storage Assn) O'Ryan, Anne (AAA Texas) Rash, Jeanette (Self and Texas Towing and Storage Association) Smith, Steve (Self and Greater Dallas Emergency Wrecker Assoc.) HB 2892 For: Higgins, Mike (Texas State Association of Fire Fighters) Hinojosa, Walter (Texas AFL-CIO)


Diego Maradona returns as Gimnasia manager - two days after quitting the job
The Argentina legend took charge of the club in September with the task of avoiding relegation
by Hassan RashedDiego Maradona has returned to his position as manager of Argentine club Gimnasia y Esgrima - just two days after quitting the role.
The Argentina legend, who is widely considered one of the greatest footballers of all time, made the announcement on social media.
“I am very happy to say that I am still the technical director of Gimnasia y Esgrima," the 59-year-old said in an Instagram post on Friday.
“I want to thank the fans and the players, because among all of us, we finally achieved political unity at the club.
"I hope they deliver everything they promised me.
"Thank you for your messages, for the support, for yesterday’s demonstration in 50-degree heat.”
Maradona, who helped Argentina to win the 1986 World Cup under controversial circumstances, initially took charge of the club at the start of September under the condition that club president Gabriel Pellegrino stayed in his role.
However, the 59-year-old suddenly announced his departure from the club - based in La Plata, near Buenos Aires - on Tuesday, prompting an emotional reaction from fans.
At the time, he said he made the decision after learning that Pelllegrino would not run for election after an agreement between candidates fell through.
However, Reuters reports that Maradona's lawyer Matias Morla told a news conference that the retired forward changed his mind after the candidates for the position agreed to put their differences aside.
Maradona took charge of Gimnasia with the task of keeping them in Argentina's top division.
The team were bottom of the 24-team league upon his arrival and, despite losing his first three games in charge, he has won three of the five that have followed to move them up to 22nd.
It is his first coaching job in his homeland since 2010 - when he left his position as head coach of the national team following the World Cup in South Africa.


Ser321
Principles of Distributed Software Systems
Class Notes:
The class notes are available on this page as they are developed and refined. Some may not be available until after they are discussed in class. Please realize that the notes are continuously being updated. If you down load the notes for the next section before we talk about the material, what is discussed in class may differ. These class notes are automatically converted from word processing format (FrameMaker) to html. The conversion is not always the best, so what you see in html may differ in format from what is used in class.
Course Objectives, Outcomes, Books, and Resources
.
Programming from the command line with the
Bash Shell (Terminal)
.
Introduction to externalizing objects.
Serialization, Json, and XML
.
These pages are under development. Please be patient. Please realize that anything you download may change tomorrow. If you have any comments, questions, or tips, please email me using the link below. Thank you!
Email:
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Prompt for Monday, February 13
Candy consumption at WaPo graphics [paywall]
Lines, areas; the
data join
We're working with
Bureau of Labor Statistics data
. We're considering:
Asynchronous data loading.
Data nesting and summarization.
Generation of path strings.
Seasonal adjustment.
Data dispersion.


--- layout: post title: no title date: '2016-09-06T11:03:22+02:00' categories: - Storyboards picture_url: https://film-Storyboards.tumblr.com/post/150033833091 ---


FBC:Login_Status template tag
This is a simple tag that allows you to use conditionals to determine whether or not a user is Facebook logged in, EE logged in or both. This tag is also handy for troubleshooting on your site.
NOTE: Due to some security settings and limitations by Facebook, conditionals that check to see if the user is logged into Facebook will not work until the user has made some kind of interaction (to generate a valid security token to Facebook) with the Facebook Connect add-on on your site.
{exp:fbc:login_status} content {/exp:fbc:login_status}
Conditionals
The following conditionals are available for use:
fbc_logged_into_ee
{if fbc_logged_into_ee == "y"}{/if}
This conditonal checks to see if the user is logged into EE. Similar to the native EE conditional.
fbc_logged_into_facebook
{if fbc_logged_into_facebook == "y"}{/if}
This conditonal checks to see if the user is logged into Facebook.
NOTE: Due to some security settings and limitations by Facebook, conditionals that check to see if the user is logged into Facebook will not work until the user has made some kind of interaction (to generate a valid security token to Facebook) with the Facebook Connect add-on on your site.
fbc_logged_into_facebook_and_ee
{if fbc_logged_into_facebook_and_ee == "y"}{/if}
This conditonal checks to see if the user is logged into Facebook AND logged into EE, AND the two accounts are synced to each other.
Examples
Below is an example of how to show/hide content based on whether or not the user is currently Facebook (synced) logged into your site:
{exp:fbc:login_status} {if fbc_logged_into_facebook_and_ee == "y"}  {if:else}
You have not synced your EE and Facebook accounts yet.
 {/if} {/exp:fbc:login_status}
Below is what some troubleshooting code might look like for your site.
NOTE: Due to some security settings and limitations by Facebook, conditionals that check to see if the user is logged into Facebook will not work until the user has made some kind of interaction (to generate a valid security token to Facebook) with the Facebook Connect add-on on your site.

Facebook / ExpressionEngine Login Status

 {exp:fbc:login_status}
 Logged into ExpressionEngine? {if fbc_logged_into_ee == "y"}Yes{if:else}No{/if}

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Chapter 6 Multiple regression as you never seen it before. Or the case for the importance of the assumption of independence.
6.1 House price prediction
Imagine the following scenario, you work for a real estate agency and new house has just been made available on the market, how would you go about naming the price for that house? Luckily in this scenario you are not just any other real estate, but a statistics loving, extra diligent one. As such you have saved on record all the information about houses sold in your area for the past \(10\) years. In your archives you have recorded the size of each house (in square feet), the number of bedrooms it has, the average income in the respective neighborhood, a subjective rating of how appealing the house is, the year in which it was sold, and how much it was sold for. How can you use all that information from your archives to best predict the value of the new house?
| Price(Y) | # of bedrooms | Average income of the neighborhood | Rating | Year | Area/sqf | … | House tax rate of this region |
|---|---|---|---|---|---|---|---|
| 190,239 | 4 | 40,000 | 2.7 | 2012 | 2,642 | … | 1.08% |
| … | … | … | … | … | … | … | … |
| 230,232 | 3 | 63,298 | 4.8 | 2016 | 1,324 | … | 2.01% |
This problem could be mathematically formulated as following problem:
Given a set of variables \(X = (x_1, x_2, \cdots , x_n)\) and another variable \(Y\), try to find the “relationship” between \(X\) and \(Y\).
In the house prediction problem above, \(x1\) could be total number of bedrooms, \(x2\) could be the average income of the neighborhood, xn could be house tax rate of this region and \(Y\) could be the deal price at a certain year. Since we want to predict the price of a house as precise as possible, the “relationship” here could be simply interpreted as to find out the smallest difference between the predicted price and the deal price. So we can further formularized the above problem as:
Given a set of variables \(X = [x1, x2, \cdots , xn]\) and another variable \(Y\), try to find a function \(f:\mathcal{R}^n \rightarrow \mathcal{R}\) s.t “difference” between \(f(X)\) and \(Y\) is minimized.
Here, a problem might arise, how can one choose a proper function \(f(X)\) ? A naive thought is to simply assume a linear relationship between \(X\) and \(Y\), i.e.
\[ f(X)=\sum{}{}\alpha_i x_i+ \alpha_0 \] This linear assumption, even though simple enough, turns out to be very powerful and effective in solving many problems. Given this assumption, now the problem becomes:
Given a set of variables \(X = [x1, x2, \cdots , xn]\) and another variable \(Y\), use data collected for variable \(X\) and \(Y\) to determine a set of values of coefficients \(\alpha_0, \alpha_1, \cdots , \alpha_n\) s.t “difference” between \(f(X)\) and \(Y\) is minimized.
The problem we derived from the perspective of optimization is categorized as least-squares problem:
\[\underset{x}{min}\quad f_0(x)=\Vert Ax- b\Vert_2^2\]
It could be solved analytically with a solution of \(x= (A^{\top}A)^{-1} A^{\top} b\). Also there are many efficient algorithms available to avoid the expensive computation of inverse of matrix.
Most people stop their analysis here when they happily got their final results: a set of coefficient values. Some might even use software packages as some magical black box that could produce a set of coefficient that could linearly fit the data.
Known as multiple regression, statisticians would often use the aforementioned analysis to learn about the relationship between several independent or predictor variables and a dependent or criterion variable. So, if we go back to our house price prediction example. The relationships between the different predicting variables and the criterion can be described like this:
\[Price(Y) = 4.7 * \text{# of bedrooms} + 0.27* \text{Average income of the neighborhood} + 0.46 * \text{Rating}\\ + 0.2 * \text{Year} + 0.1 * \text{Area} + 0.24 * \text{House tax rate of this region}\]
What this equation is telling us is that when all other variables are being held as consents, every \(4.7\) rooms added to the house results in a one-unit change in price of the house; let us say an added \(100,000\) to the house total price.
Seeing this equation, our agent might reach the conclusion that due to the large coefficient the factor most significantly effecting the house prices in the area is the number of rooms that they have (when compared to the tiny \(0.1\) coefficient of the house area for example). The effect of number of room is so central that for an increase of \(4.7\) rooms drives the price of the house by another \(100,000\$\).
This conclusion would be very wrong, and for a couple of reasons, we will call them the problems of collinearity and scaling. A house’s price is mainly determined by number of bedrooms but not determined by the house area? Who will design a house with many bedrooms but small area? In fact, how can the numbers of room grow without it affecting the area of the house? Can infect one factor in our equation change without it affecting other factors?
Of the two problems, that of scaling is simpler, and easier to resolve. A factor’s coefficient is a function of that factor’s range, so for large ranged variables the coefficient before it is likely to get a small value. That small value however, does NOT indicate that it has less impact in determining the value of \(Y\). To avoid this problem, most data scientists tend to normalize data before conducting the regression analysis so that values of variable are in similar range.
The other problem, collinearity, refers to a situation when one of our predictor variables can be almost entirely predicted by one or a few of the other predicting variables. In our example, it is easy to see how, in many cases, the number of room it has could predict a house’s area. Similarly, if that region house taxation were based on its square feet size, the variable area would entirely predict that of tax. When two or more variables are highly correlated, they are in affect explaining the same phenomenon, and thus redundant. It is therefore a good practice to test for collinearity between the variables prior to designing the regression model.
However, even if variables are not entirely collinear, that does not mean we can treat them as orthogonal. If we go back to the verbal explanation of the regression equation, it is important to pay careful attention to the following part “when all other variables are being held as consents…” it means that we can refer to the unique effect a single variable if, and only if, changing that variable has no effect on the other variables. If it does, the equation should be treated as a whole.


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title: Technical Details
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Based on 16.04 Ubuntu Linux and the 4.4 kernel for long term support
Using the Gnome desktop for ease of use and a clean design
- Evolution-EWS Email Client
- Mozilla Firefox ESR Web Browser
- LibreOffice Suite
- WINE Compatability Layer
Evolution-EWS Email Client is an email client that is set up to work with NHSMail2
Google Chrome install scripts are provided if you wish to use them
Mozilla Firefox is provided fully set up as a browser
The LibreOffice suite is a toolset like Microsoft Office for working with text documents, slideshows or spreadsheets.
WINE Compatability Layer is a tool that can run Windows programs on Linux
NHSbuntu runs on quite low end hardware.
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