Web development is the work involved in developing a web site for the Internet (World Wide Web) or an intranet (a private network). Web development can range from developing a simple single static page of plain text to complex web-based internet applications (web apps), electronic businesses, and social network services. A more comprehensive list of tasks to which web development commonly refers, may include web engineering, web design, web content development, client liaison, client-side/server-side scripting, web server and network security configuration, and e-commerce development.
Among web professionals, "web development" usually refers to the main non-design aspects of building web sites: writing markup and coding. Web development may use content management systems (CMS) to make content changes easier and available with basic technical skills.
For larger organizations and businesses, web development teams can consist of hundreds of people (web developers) and follow standard methods like Agile methodologies while developing websites. Smaller organizations may only require a single permanent or contracting developer, or secondary assignment to related job positions such as a graphic designer or information systems technician. Web development may be a collaborative effort between departments rather than the domain of a designated department. There are three kinds of web developer specialization: front-end developer, back-end developer, and full-stack developer. Front-end developers responsible for behavior and visuals that run in the user browser, while back-end developers deal with the servers.
225 px --> content width
40 px --> (20px left padding + 20px right padding)
40 px --> (20px left margin + 20px right margin)
+ 20 px --> (10px left border + 10px right border)
--------------------------------------------------------------
= 325 px total physical width of left column
187 px --> content width
40 px --> (20px left padding + 20px right padding)
40 px --> (20px left margin + 20px right margin)
+ 20 px --> (10px left border + 10px right border)
--------------------------------------------------------------
= 287 px total physical width of right column
The physical width of a container/column is the total width of that column in which the total length in pixels across the container. This would include the left and right margins, left and right border, left and right padding, and the width of the content.
The content width is just the width of the data/content on the page that is inside the container/column. Any borders, padding or margin settings are omitted from content width calculations.


--- layout: post title: ! 'INTERACTIVE MAP: Bronx unemployment by neighborhood' date: 2012-01-02 16:38:09.000000000 +05:30 categories: - Data Visualization Thoughts tags: [] status: publish type: post published: true meta: _edit_last: '1' tmac_last_id: '229660847616712705' author: login: cvlewis email<EMAIL_ADDRESS>display_name: Carl V. Lewis first_name: Carl V. last_name: Lewis excerpt: !ruby/object:Hpricot::Doc options: {} ---
This interactive map displays the 2010 unemployment rates for each Bronx neighborhood. The darker shade green represents a higher rate of unemployment. Click on each neighborhood to see its statistics and poverty rate.
SOURCE: 2010 American Community Survey 1-Year Estimates


Visibility analysis shows the visual impact from a point into the surrounding environment affected by the obstructions and shaping the skyline. In the city, the urban elements such as topography, building, trees, etc., make part of the urban atmospheric visibility. The quality of an urban space is affected by how people perceive the space. For instance, people feel more secure in spaces where they can easily see the surroundings from different positions.
Space Syntax brings together a series of theories for the analysis of spatial configurations in urban systems [1][2]. The Space Syntax approach represents streets as nodes and intersections as edges. According to Space Syntax, the three main conceptions of space are: isovist, axial space and convex space, and the street networks analyses are: Integration, Choice and Depth Distance.
Isovist is the field of view from any particular point. An isovist, or viewshed, is the area in a spatial environment directly visible from a location within the space [3]. Isovists have particular relevance to architectural and urban analysis by providing an intuitively way of analyzing the spatial environment from the point of view of individuals.
In city planning and design, the visibility aspect is considered when, for instance, when enhancing highly visible public space with clear sight-lines and entrances/exits, or when clearly defining facades to main streets.
For our MOOC exercise you can intuitively work with visibility or you can deepen your knowledge on Space Syntax theory or graph theory and use computational tools such as depthmap or any GIS software.


Gerhard Fischer
Part of the output of the University of Colorado team who are responsible for AgentSheets and meta-design theoretical contributions.
Unread


Extensions
THEME_NAME/extensions/
Collapsing Breadcrumbs
THEME_NAME/extensions/breadcrumbs/collapsing-breadcrumbs.css
THEME_NAME/extensions/breadcrumbs/collapsing-breadcrumbs.html
THEME_NAME/extensions/breadcrumbs/collapsing-breadcrumbs.js
Fasten Header
THEME_NAME/extensions/fasten-header/fasten-header.css
THEME_NAME/extensions/fasten-header/fasten-header.html
THEME_NAME/extensions/fasten-header/fasten-header.js
Quantity Increment Adjuster
THEME_NAME/extensions/quantify/quantify.css
THEME_NAME/extensions/quantify/quantify.html
THEME_NAME/extensions/quantify/quantify.js
Tabbed Product Details
THEME_NAME/extensions/tabs/flex-tabs.css
THEME_NAME/extensions/tabs/flex-tabs.html
Transfigure Navigation
THEME_NAME/extensions/navigation/transfigure-navigation.css
THEME_NAME/extensions/navigation/transfigure-navigation.html
THEME_NAME/extensions/navigation/transfigure-navigation.js


PWG August 2009 F2F Meeting
I. When/Where
The PWG F2F meeting will be held on August, 17-20,
2009 at
Microsoft in Redmond WA (Seattle WA area)
Address:
Microsoft Campus
Building 85
4634 154 Pl NE,
Redmond, WA, 98054
Please arrive at building 85 lobby and pick up
your visitor
badge at the reception.
You will also need to register your vehicle by providing the license
plate,
make
and model information. Either Mike or Jane will be there to greet you
and
escort
you to the meeting room.
If you are coming
from 520,
take NE 40th exit. Make a left onto 156th Ave NE.
At the next light, make another left. The parking garage entrance will
be on
the right after the 1st Stop sign.
.
There is no meeting fee for this meeting, there
is, however
a registration process.
To register for the event please email<EMAIL_ADDRESS>In your
registration mail,
please specify which days you plan to attend (Tuesday, Wednesday,
Thursday)
Breakfast and lunch will be provided on Microsoft campus. If you have
any
dietary restrictions, please
include that information in your registration mail.
II. For those unable to travel
Conference call information:
Call-in toll-free
number
(US/Canada): 1-866-469-3239
Call-in toll number
(US/Canada): 1-650-429-3300
Call-in toll number
(US/Canada): 1-408-856-9570
Attendee access code: (by request only)
III.  Hotel information for the August 2009 PWG meetings:
There are no hotel arrangements for this meeting. (attendees are on their own)
Here are a couple of hotel recommendations for
nearby hotels
that offer a Microsoft discount.
Note, these rates are not guaranteed so please ask about Microsoft
special when
making a reservation.
REDMOND INN
Rate $119 (USD) per night
http://redmondinn.com
17601 REDMOND WAY
REDMOND
WA 98052
UNITED STATES
Phone: 1-425-8834900
Fax: 1-425-8695838
SILVER CLOUD INN REDMOND
Rate $125 (USD) per night
http://www.silvercloud.com
2122 152ND AVENUE NE
REDMOND
WA 98052
UNITED STATES
Phone: 1-425-7468200
Fax: 1-981-7472078
RESIDENCE INN SEATTLE EAST/REDMOND
Rate $134 (USD) per night
http://marriott.com/seard
7575 164TH AVE. N.E
REDMOND
WA 98052
UNITED STATES
Phone: 1-425-497-9226
Fax: 1-425-497-1909
MARRIOTT REDMOND TOWN CENTER
Rate $159 (USD) per night
http://marriott.com/seamc
7401 164TH AVENUE
REDMOND
WA 98052
UNITED STATES
Phone: 1-425-498-4000
Fax: 1-425-556-1231
RED LION HOTEL BELLEVUE (FORMERLY BEST WESTERN BELLEVUE INN)
Rate $99 (USD) per night
http://www.redlion.com
11211 MAIN STREET
BELLEVUE
WA 98004
UNITED STATES
Phone: 1-1-4555240
Fax: 1-425-4550654
Additional Information:
If you have any questions, or require any assistance please email PrintReg@microsoft.com


Note that if you are taking a course using System/161, chances are that your course staff has already installed it for you.
Download URLs:
http://os161.eecs.harvard.edu/download/ (long-term address not yet operational)
http://www.eecs.harvard.edu/~dholland/os161/download/ (current as of this writing)
Actively maintained/tested host systems:
Supported host CPU types:
Supported host compilers:
Supported guest compilers:
Short installation directions for Unix sysadmins: untar, configure --help, configure, make, make install. As of version 1.15 System/161 configures with --prefix and installs in the normal layout.
Assuming you downloaded version 2.0, unpack the distribution file by typing
tar -xvzf sys161-2.0.tar.gzThis will create a subdirectory called sys161-2.0 with the distribution files in it. Go into this directory by typing
cd sys161-2.0and run the configure script. These are the configuration options:
| Option | Description | Default | |
|---|---|---|---|
| --with-compiler=CC | Use CC as compiler | (probed) | |
| --prefix=DIR | Install under DIR | /usr/local | |
| --bindir=DIR | Install programs into DIR | PREFIX/bin | |
| --exampledir=DIR | Install examples in DIR | PREFIX/share/examples/sys161 | |
| --docdir=DIR | Install docs into DIR | [PREFIX/share/doc/sys161 | |
| --mandir=DIR | Install man pages into DIR | PREFIX/man | |
| --devel | Developer mode | off | |
| --debug | Turn on debug symbols for sys161 itself | off |
Thus to configure to install in your home directory you might do
./configure --prefix=$HOME/sys161 mipsebNote that, because of the way the Unix shell handles ~, if you use ~/sys161 instead of $HOME/sys161 it won't work. Now compile and install by typing
makethen
make install
If the compilation fails, please file a bug report.
If you get errors caused by make, such as
make: Missing separatoror
gcc: No input filestry using GNU make (or BSD make). There are a number of dialects of the old AT&T make around, and some of them do not work very well. Very old versions of BSD make may also have problems. This compiles and installs two versions of the simulator: sys161, the normal or "fast" simulator, trace161, which is the same as sys161 but has lots of debugging and diagnostic support built in and thus doesn't run as quickly. It also installs three support programs: hub161, a tool for connecting multiple copies of System/161 together into a virtual network, stat161, a tool for printing the internal performance counters, and disk161, a tool for manipulating disk images. See below for more information.
Assuming the default installation directories, and version 2.0, System/161 installs the following:


http://www.speakers-podium.com/susangranger.
Susan Granger's review of "LOVE & BASKETBALL" (New Line Cinema)
First-time feature film-maker Gina Price-Blythewood scores with this romantic drama told in four quarters. Sanaa Lathan and Omar Epps play two young athletes from Baldwin Hills, an upper middle-class black neighborhood of Los Angeles. Friendly adversaries since childhood, they share a mutual passion for basketball. In high school and college, Epps is set to follow in the footsteps of his famous father (Dennis Haysbert), an NBA player, while Lathan battles her own inner conflicts involving the rough 'n' tumble reality and inequities of women's ball. Conformity is an anathema to her. I found this feminist aspect of the film particularly compelling since she's struggling to become an independent woman, as opposed to the life chosen by her more subservient mother (Alfre Woodard) who did not have the same opportunities available to her. Then Epps must face his own personal disillusionment - and becomes involved another woman, making Lathan wonder if "being all about ball" is really worth the price that must be paid. Quite simply: this is a coming-of-age saga in which assumptions and idealism are challenged and re-focused - on the court and off. Unfortunately, the predictable plot is tied up too simplistically, like a contemporary Cinderella tale. But the performances are uniformly good, particularly Sanaa Lathan who proves herself an actress of formidable intensity. On the Granger Movie Gauge of 1 to 10, "Love & Basketball" is an uneven but satisfying 6, particularly as a date movie. Spike Lee, who serves as producer, has introduced yet another exciting, new African-American film-maker in Gina Price-Blythewood.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Stuff I don't eat!
Apples, Apricots, Cherries, Chicken, Fish, Meat (but I do eat dairy and eggs) & Pears


Maximum Likelihood and Maximum A Posteriori Estimation
Maximum Likelihood Estimation: Suppose that we have a probabilistic model of generating random data $x \in \mathcal{X}$ derived from function $P_{\theta}(x)$ that is parametrized by $\theta$. How can we estimate $\theta$? $$ P_{\theta}(x) : \mathcal{X} \rightarrow R, \quad \int_xP_{\theta}(x) dx = 1 $$
Let’s say we have seen some independent samples $x_1, x_2,.. x_n \sim P_{\theta^}$. By definition: $$ P_{\theta^} (x_1,x_2,..,x_n) = P_{\theta^}(x_1) P_{\theta^}(x_2)..P_{\theta^*}(x_n) $$
Can we estimate $\theta^*$?
So, how can we estimate the hidden variable $ heta $ from which our probability distributions are derived?
Example 1: Bernoulli distribution
In this example, our family is a class of random variables with possible values drawn from $\mathcal{X} \in {0,1}$ analogous to tossing a two-sided coin. We can derive the probability of each outcome via the following functions:
$$ P(X=1) = p \text{ and } P(X=0) = 1-p $$
It is a Bernoulli distribution parameterized by:
$$ \text{Bernoulli} (x|\theta) = \begin{cases} \theta & \text{if $x=1$} \\\ 1-\theta & \text{otherwise} \end{cases} $$ Where we can rewrite this with
$$ \text{Bernoulli} (x|\theta) = \theta^x(1-\theta)^{1-x} \text{ for } x \in {0,1} $$
Example 2: Categorical distribution over $x$
We define random variable $x \in \mathcal{X}:{1,2,..,M}$ has probability distribution: $$ P(x=i) = \theta_i $$
for some combination of $\theta_1,..,\theta_M > 0$ where $\theta_1+\theta_2+..+\theta_M=1$. In general, the family of probability distributions with the following characteristics is called simplex: $$ \Delta :{\theta=(\theta_1,\theta_2,..,\theta_M) \in R ^M: \theta_i \geq 0, \theta_1+\theta_2+..+\theta_M = 1} $$ We call $\mathcal{X}$ Categorical Distribution over $x$: $$ \text{Cat}(x=i|\theta) = \theta_i $$
Example 3: Gaussian distribution
This family of probability distributions with mean $\mu$ and variance $\sigma^2$ is called Gaussian and has the following density function: $$ P_{\theta}(x) = \text{Normal}(x|\mu,\sigma^2) = \frac{1}{\sqrt{2\pi \sigma^2}} e^{-\frac{(x-\mu)^2}{2\sigma^2}} $$ Where: $$ \mu = E_{P_{\theta}}[x]\\\ \sigma^2 = \text{Var}{P{\theta}(x)} = E_{P_{\theta}}[(x-\mu)^2] $$ and $$ \int_{-\infty}^{\infty} P_{\theta}(x) dx = 1 $$
In simple terms, maximum likelihood estimation is a technique that will help us to estimate our parameters $\hat{\theta}_{\text{MLE}}$ in a way that maximizes likelihood of generating the data:
$$ \begin{align} \begin{aligned} \theta_{\text{MLE}} = & \arg \max_{\theta} P_{\theta} (x_1,x_2,..,x_n)\\\ =&\arg \max_{\theta} P_{\theta} (x_1)P_{\theta}(x_2)..P_{\theta}(x_n) \\\ =&\arg \min_{\theta} \sum_{i=1}^{n}-\log P_{\theta} (x_i) \end{aligned} \end{align} $$
Which is the Empirical Risk Minimization for the following loss function:
$$ \mathcal{L}(\theta;x) = -\log P_{\theta} (x). $$
There are some nice properties that MLE has:
-
Consistency: Given $x_1,.., x_n \sim P_{\theta^}$ are iid data points. If $n \rightarrow \infty$, then $\theta_{\text{MLE}} \rightarrow \theta^$
-
Invariance: If we want to estimate MLE of $g = G(\theta)$ of $\theta$, intuitively we want to use $\hat{g} = G(\hat{\theta}_{\text{MLE}})$. Then $\hat{g}$ is the MLE of $g=G(\theta)$.
Examples of MLE
1. Coin Toss
We toss a fair coin multiple times. A simple sequence of outcomes could be H H H T T T H T T H T T. How to estimate the probability of the coin landing H? A very simple and intuitive answer could be $\frac{5}{5+7} = \frac{5}{12}$. This very natural answer tends out to be MLE of the Bernoulli model:$\text{Bernoulli} (x|\theta) = \theta^x(1-\theta)^{1-x} \text{ for } x \in {0,1}$.
In this example, MLE is: $$ \begin{align} \begin{aligned} \theta_{\text{MLE}} = & \arg \min_{\theta} - \sum_{i=1}^n \log \text{Bernoulli}(x_i| \theta) \\\ = & \arg \min_{\theta} - \sum_{i=1}^n (x_i \log (\theta) + (1- x_i)\log (1-\theta)) \\\ = & \arg \min_{\theta} - [(\sum_{i=1}^n x_i) \log (\theta) + (n-\sum_{i=1}^n x_i)\log (1-\theta)] \\\ = & \frac{1}{n} \sum_{i=1}^n x_i \end{aligned} \end{align} $$ You can obtain the last statement by deriving $- [(\sum_{i=1}^n x_i) \log (\theta) + (n-\sum_{i=1}^n x_i)\log (1-\theta)]$ with respect to $\theta$.
2. Binary Logistic Regression
In this case, our data points consist of $(x,y) \in R^d , (0,1)$ and the parameters are defined by $\theta = (w,b)$. Our model here is $P(y|x,\theta) = \text{Bernoulli}(y| \sigma(w.x+b))$ where $\sigma (z) = \frac{1}{1+e^{-z}}$ is the sigmoid function.
$$ \begin{align} \begin{aligned} P(y=1 | x,\theta) = & \sigma(w.x+b) \\\ =& \frac{1}{1+e^{-(w.x+b)}} \end{aligned} \end{align} $$
- MLE in Bernoulli model is Logistic Regression
$$ \begin{align} \begin{aligned} \theta_{\text{MLE}} = & \arg \max_{\theta} P(y| x,\theta)\\\\ = & \arg \min_{\theta} - \sum_{i=1}^n\log P(y_i|x_i,\theta) \\\\ = & \arg \min_{\theta} \sum_{i=1}^n\log (1+e^{-(w.x+b)}) \end{aligned} \end{align} $$
where $\log (1+e^{-(w.x+b)})$ is the logistic loss function.
3. Linear Regression as MLE in Gaussian Model
In this case, our data points consist of $(x,y) \in R^d , R$, and the parameters are defined by $\theta = (w,\sigma^2)$. Gaussian model is:
$$ y| x, \theta \sim \text{Normal}(w.x,\sigma^2) $$ Suppose that our variance $\sigma^2$ is fixed. Then the parameter here $\theta=w$ :
\begin{align} \begin{aligned} \theta_{\text{MLE}} = & \arg \max_{\theta} P(y| x,\theta)\\\\ = & \arg \min_{\theta} - \sum_{i=1}^n\log P(y_i|x_i,\theta) \\\\ = & \arg \min_{w} \sum_{i=1}^n\log \text{Normal}(y_i| w.x_i,\sigma^2)\\\\ =& \arg \min_{w}-\sum_{i=1}^n\log(\frac{1}{\sqrt{2\pi \sigma^2}} e^{-\frac{(y_i-w.x_i)^2}{2\sigma^2}})\\\\ =& \arg \min_{w} \sum_{i=1}^n \frac{1}{2\sigma^2} (y_i-w.x_i)^2 + c \end{aligned} \end{align}
$\sum_{i=1}^n \frac{1}{2\sigma^2} (y_i-w.x_i)^2$ is quadratic objective function in least square. Therefore, least square regression is MLE in the gaussian model and vice versa.
Maximum A Posterior Estimation (MAP): Let’s say parameter $\theta$ has a prior distribution $\theta \sim P(\theta)$. Data points $x$ is generated by a family of probabilistic model $x \sim P(x|\theta)$:
This graphical model describes the following steps:
- Draw $\theta \sim P(\theta)$
- Draw $x|\theta \sim P(x|\theta)$
Then joint distribution is defined: $P(x,\theta) = P(\theta).P(x|\theta)$. We only want to infer the value of $\theta$ given observation $x$. We can take advantage of Bayes Rule.
Bayes Rule:
$$ P(\theta| x) = \frac{P(\theta,x)}{P(x)} = \frac{P(\theta)P(x|\theta)}{P(x)} $$
Let’s fix the following terminologies:
- Posterior: $P(\theta| x)$
- Prior: $P(\theta)$
- Likelihood: $P(x|\theta)$
- Marginal: $P(x)$
Suppose that we observed $x_1,x_2,..x_n | \theta \sim P(x|\theta)$ independantly.
joint distribution: $P(\theta,x_1,x_2,..x_n) = P(\theta).P(x_1|\theta).. P(x_n|\theta)$.
Bayes Rule:
$$ P(\theta| x_1,x_2,..x_n) = \frac{P(\theta).P(x_1|\theta).. P(x_n|\theta)}{P(x_1, ..,x_n)} $$
However, the marginal distribution is not always easy to compute: $P(x) = \int_{\theta} P(x,\theta) d\theta = \int_{\theta} P(\theta). P(x|\theta) d\theta $. This integral could be intractable in the high dimensional space of $\theta$. Therefore, often we only approximate posterior up to the normalizing constant:
$$ P(\theta | x) \propto P(\theta). P(x|\theta) $$
subject to $\int_{\theta}P(\theta | x)d\theta=1$. Now MAP will help us by:
$$ \begin{align} \begin{aligned} \theta_{\text{MAP}} = & \arg \max_{\theta \in \mathcal{\Theta}} P(\theta|x) \\\\ =& \arg \max_{\theta \in \mathcal{\Theta}} P(\theta).P(x|\theta) \end{aligned} \end{align} $$
Example 1: MLE as MAP with Uniform Prior
Suppose prior $P(\theta)$ is uniform on $\mathcal{\Theta}$ (e.g., $P(\theta)=\frac{1}{b-a}$ for $\theta \in \mathcal{\Theta}$ ). We can say that $P(\theta)\propto 1$ and now: $$ \begin{align} \begin{aligned} \theta_{\text{MAP}} = & \arg \max_{\theta \in \mathcal{\Theta}} P(\theta|x) \\\\ =& \arg \max_{\theta \in \mathcal{\Theta}} 1.P(x|\theta) \\\\ =& \theta_{\text{MLE}} \end{aligned} \end{align} $$
Example 2: Beta-Bernoulli model
As we talked about earlier: $$ \text{Bernoulli} (x|\theta) = \begin{cases} \theta & \text{if $x=1$} \\\\ 1-\theta & \text{otherwise} \end{cases} $$
also recall that given $y_1,y_2,..y_n \in {0,1}$ MLE estimator is $\theta_{\text{MLE}} = \frac{y_1+y_2+..+y_n}{n}$:
$$ P(y| y_1,y_2,..,y_n) \approx P(y|\theta_{\text{MLE}}) \begin{cases} \theta_{\text{MLE}} & \text{if $y=1$} \\\\ 1-\theta_{\text{MLE}} & \text{otherwise} \end{cases} $$
However, this method is prone to overfitting: For example, $y_1=..=y_n=1$ then $\theta_{\text{MLE}}=1$ and the model will always predict $y=1$.
How to fix this with MAP?
- Put prior on $\theta$, compute $\theta_{\text{MAP}}$.
- What prior on $\theta \in [0,1]$? Use Beta distribution, which is conjugate prior to Bernoulli:
$$ P(\theta | \alpha, \beta ) = \frac{\theta^{\alpha-1}(1-\theta)^{\beta-1}}{B(\alpha,\beta)} \propto {\theta^{\alpha-1}(1-\theta)^{\beta-1}} $$
Where:
$$ B(\alpha,\beta) = \int_0^1 \theta^{\alpha-1}(1-\theta)^{\beta-1} = \frac{\Gamma \left( \alpha \right) \Gamma \left( \beta \right)}{\Gamma \left( \alpha + \beta \right)} $$
is the normalizing constant and $\Gamma \left( x \right)$ is the gamma function (i.e., $\Gamma \left( n \right)=(n-1)!$). Then, MAP estimation for the Bernoulli model with Beta distribution:
- Suppose $\theta$ comes from $\text{Beta}(\theta|\alpha, \beta) = P(\theta)$ is prior
- Suppose we observe $y_1,y_2,..,y_n | \theta \sim \text{Bernoulli}(y|\theta)$ is likelihood
- Posterior distribution of $\theta$ is still a Beta distribution: -$$ \begin{align} \begin{aligned} P(\theta|y_1,y_2,..)\propto & P(\theta).P(y_1|\theta)..P(y_n|\theta) \\\\ \propto & \theta^{\alpha-1}(1-\theta)^{\beta-1}\prod_{i=1}^{n} {\theta^{y_i}(1-\theta)^{1-y_i}} \\\\ = & \theta^{\alpha-1+\sum_{i=1}^ny_i}.(1-\theta)^{\beta-1+\sum_{i=1}^n(1-y_i)} \\\\ =& \text{Beta}(\alpha-1+\sum_{i=1}^ny_i,\beta-1+\sum_{i=1}^n(1-y_i)) \end{aligned} \end{align} $$
We covered this post in the introduction to machine learning CPCS 481/581, Yale University, Andre Wibisono where I (joint with Siddharth Mitra) was TF.


Home
FAQs
Event Details
Schedule
Day 1: Friday 26/3
18:00
how_to_reg
Start registration & Opening Talk
18:30
chat_bubble_outline
Team Formation
19:00
code
Challenge Begins!
Day 2: Saturday 27/3
09:00
alarm
Wakeup Call
10:00
emoji_people
Speaker 1 - Dr Anastasiya Ostrovnaya
11:00
emoji_people
Speaker 2 - Dr Ilija Zovko
12:00
assessment
Networking with Aspect
13:00
emoji_people
Speaker 3 - Hakeem Gbadebo
14:00
assessment
Networking with Aspect
15:00
emoji_people
Speaker 4 - Dr Stephen Hansen
16:00
emoji_people
Speaker 5 - Prof Johannes Muhle-Karbe
17:00
code
Chill out hour!
Day 3: Sunday 28/3
10:00
alarm
Wakeup Call
14:00
done
Low Latency Challenge Only Last Submission
15:00
done
Competition Ends - Judging Begins
15:30
done
Finalist Presentations
16:00
celebration
Closing Remarks & Prize Giving
16:30
celebration
Event End


Sloth's Are Natures Perfect Mistakes
Sloths are a group of arboreal Neotropical xenathran mammals, constituting the suborder Folivora. Noted for their slowness of movement, they spend most of their lives hanging upside down in the trees of the tropical rainforests of South America and Central


Assign randomly your users into two or more groups, each one exposed to a different variant of the website
We are confident that one of the variants is statistically significant
We can confidently say which one is the winner (or loser)
If there was an effect it was too small to be measured
"When running online experiments, getting numbers is easy; getting numbers you can trust is hard"
Without data you can trust, you cannot make a decision.
Basically, you know nothing about the results of your test
They can bias your results
Modifications on same features running at the same time can bias results
E.g. button color change and position change
...and wasted time...
...and unmeasured impact on the site...
...and a hard time for the poor dev...
Distribution of visitors should match the expected split
Track only people that are actually exposed to the change
Otherwise, spotting change in results is much harder, and exp has to run for longer
e.g. Track everyone visiting the website, but the change is only on the product page
More precise tracking (e.g. tracing based on user interactions)
Integration with Google analytics
Both server and client side solutions
Source: https://support.google.com/analytics/answer/1745147?hl=en-GBOne of the most popular frameworks
Unfortunately based on Javascript only
Source: https://support.google.com/analytics/answer/1745147?hl=en-GBBoth server and client side solutions
Source: http://vanity.labnotes.org/Easily test email campaigns
Source: http://mailchimp.com/features/ab-testing/GITHUB LINK!
{
'beerConsumedInLitres' : 15,
'talksSeen' : 4,
'hangoverIndex' : 7.8
}


Vai's Blog
Habits and Time Management
Date: 10th April 2016
To be very honest, changing a lot of things at once and struggling though all of them together is not something that I want at this point of time. So I have selected a few techniques that I think will work for me and slowly but steadily I will try and incorporate all those into my life style.
I have tried to practise growth mind set vs fixed mind set and I also agree to the idea that “Confidence is a displayed ability” The first day when I started I didn’t want to do much because I felt that it’s too much for me and slowly I realised that I need to jump into the water to learn how to swim, sitting on the shore will not help my cause. And after a few days I could see the difference myself.
I am also taking slow steps at a time and that is working because the small targets that I set for my self is helping me boost my morale and also, I am able to learn that thing properly instead of just skimming through it. The Pomodora technique is also something that I have been trying to include just so that I can keep re-aliging myself to my central goal instead of just going into a black hole.
All said and done I am still trying to implement these completely and for this I am planning on making it a habit and hence I have that in my to-do for the next week.
Also, who wouldn’t want to be productive so I will try and give that a go as well. :)
I also need to start meditating to keep my focus given the insane schedule I have but I like I said before I am trying to make slow and permanent changes
I’ll be back with more experiments and ideas next week… until then xxx


Modules
You can search directly to your supplier for ingredients by intergrating its API here.
For example, given your supplier provides a valid API to return its products, you can write simple modules to import the data directly to your local PV database.
Structure
JSON file contains the supplier data needed to register with PV
eg:
{"id":"supplier_id","name":"My custom Supplier","slug":"mycustomsupplier","version":"1.0","fileName":"supplier1.php","icon":"fas fa-database"}
PHP file should contain the code that query's the supplier's API and return the results in JSON format
eg:
{"draw":1,"recordsTotal":1,"recordsFiltered":1,"data":[["ambermax (Givaudan) - 50% TPM <\/a>","a","","N\/A","N\/A","","Perfumers Apprentice","<\/a>","Import<\/a>"]]}


Thorium Reader is the Reading Application of choice for Windows 10, MacOS and Linux.
This EDRLab application is in constant development and aims at becoming a reference for accessing EPUB publications, PDF documents, audiobooks and visual narratives, optionally protected by the LCP DRM (DRM meaning Digital Rights Management).
It is localized in a large set of languages; each version is offering new languages, thanks to the help of our community.
Huge efforts are also made to get Thorium Reader highly accessible for visually impaired and dyslexic people.
This application is free, with no ads and no leaks of private data.
This is the perfect tool for heavy readers, library patrons and students.
A complete user guide is available online.
EPUB 2: this is a legacy format, only adequate for basic ebooks. Textual content is formatted in XHTML 1 and no multimedia feature is supported. EPUB 2 ebooks are still accessible if properly formatted.
EPUB 3: this is the recommended format for the 21st century. Textual content is formatted in (X)HTML 5, it is possible to create fixed-layout ebooks, enriched ebooks and accessibility features are well designed.
DAISY v2.02 / v3 (text, audio, text+audio).
PDF: despite a well-known lack of flexibility (no reflow option) and accessibility, many ebooks are still available in PDF only, especially in public libraries.
Audiobooks: a standardized format for audiobooks has been designed by the W3C Publishing Working Group in 2020, and EDRLab was part of this WG. Thorium is supporting the packaged (LPF) audiobook format, which will soon be widely used by booksellers, or so we hope.
Visual narratives: EDRLab has designed a standard format for comics, manga, webtoons and other styles of digital works based on sequences of images. Divina is the name of this format. This is still an experimental format, and we hope that publishers will size it in 2021+.
Thorium Reader is for everyone, including people who are blind or have other print disabilities. The application is compatible with screen readers including JAWS, NVDA, Narrator and VoiceOver, and it includes a read aloud feature with visual highlighting. Thorium Reader can be used with the mouse or keyboard, and keyboard shortcuts are configurable. The display can be personalized to suit user’s needs, including colors, text size, spacing, font and layout.
EDRLab has strong relationships with the DAISY Consortium. Together with people with print disabilities who participate in our design and testing, we are making Thorium Reader one of the most accessible reading applications available.
Many Public Libraries and booksellers are adopting OPDS as a standard way to expose their catalogs on the Web.
Using OPDS, libraries and booksellers can also expose the personal bookshelf of a patron or customer, i.e. the ebooks the user has acquired and can immediately download and read.
Thorium can browse OPDS 1 and 2 catalogs. It also supports several OPDS compliant authentication mechanisms, and can therefore allow users access to their personal bookshelf.
Thorium Reader supports the Readium LCP DRM, originally designed by the Readium Foundation. The specification of this DRM is public, and this is an ISO Technical Specification under the reference ISO 23078-2.
LCP has already been adopted by many Public Libraries, Universities and booksellers around the world (a list is maintained here).
Organizations in the publishing sector, worldwide, are encouraged to adopt LCP as a way to protect ebooks against oversharing, while offering to users a frictionless experience and keeping content properly accessible. Please contact EDRLab if your organization is interested by adopting LCP.
Copyright 2019 European Digital Reading Lab. All rights reserved. Licensed to the Readium Foundation under one or more contributor license agreements.
This application is open-source, released under a BSD 3 license. It is based on the open-source Readium Desktop toolkit.
Thorium Reader is currently developed by:
Several other developers have helped making Thorium what it is today:
The project is supervised by Laurent Le Meur, EDRLab CTO.
EDRLab is a non-profit organization. Our budget essentially originates from our members. EDRLab started in France, but is now counting 60 members from Europe, North America, South America and Asia.
This project would have not seen the light without:
1- The financial implication of our founding members: Editis, Hachette Livre, Magrigall, Media-Participations, Cercle de la Librarie, Syndicat national de l'Edition. They understand that financing open-standards and open-source is the best way to energize an open and innovative market for the publishing industry.
2- Financial grants from the following French public organizations:
3- Additional grants from EDRLab members interested by the addition of specific features:
You can also help Thorium Reader becoming a better application by becoming an EDRLab member.
Alternatively, you can donate to EDRLab via the Github Sponsor "piggy-bank", which accepts small monthly donations.


| Bag |
A class to construct BagIt bags.
|
| BagEntryTest |
|
| BagItROCrateWriter |
A class for writing all necessary tag files etc.
|
| BagItROManifest |
A modification of the ROBundle Manifest "bean", that allows writing the JSON-LD manifest to the appropriate
directory in accordance with https://w3id.org/ro/bagit
|
| BagItROService |
A service for creating a BagIt RO folder (or Zip file) from a given ResearchObject.
|
| BagItROServiceTest |
|
| BagItROWriter |
A class for writing all necessary tag files etc.
|
| BagWriter |
A class for writing all necessary tag files etc.
|
| ProxySerializerModifier |
A class to modify how the ROBundle Proxy bean is serialized.
|
| RemoteResource |
A remote resource to be bagged.
|
| ROCrateMetadata |
|
| StreamWithDigests |
A class to wrap an OutputStream and compute a set of digests whilst writing.
|
| TrailingSlashWriter |
A class to add a trailing slash to an ROBundle Proxy's folder path.
|


Hi, my name is Sanja Protic. I was born on November 20, 1987, in Belgrade. I am a junior developer with knowledge of front-end technology and I'm looking for a job. A very ambitious person, willing to learn and acquire new knowledge as well as for constant advancement. I love structure and order and I also stand for quality. Also I like working in a team because it can be so faster and better to learning.
Hi, my name is Sanja Protic. I was born on November 20, 1987, in Belgrade. I am a junior developer with knowledge of front-end technology and I'm looking for a job. A very ambitious person, willing to learn and acquire new knowledge as well as for constant advancement. I love structure and order and I also stand for quality. Also, I like working in a team because it can be faster and better for learning.
I completed the course for frontend development. The course was very intensive, with lots of work, learning and exercising. After the course, I continued to improve myself, doing my tasks and reading new things. Because tracking novelty helps you stay in the focus of what is most wanted and what is most used in practice.


Given a matrix of dimension mxn M -yields-> N, where N is a matrix derived from M
All operations on a matrix fitting this pattern can be found in this package.
Something on this lines also occurs in package rowcolop! Exccept that there N is necessarily a row or column vector!


Virtual By Default. Serving Texas and beyond.
We embrace the Internet as the primary method of engagement with our members and the entire engineering community.
We embrace the Internet as the primary method of engagement with our members and the entire engineering community.
Manufacturing is moving fast — and evolving. It can be challenging to stay on top of it all. We produce and launch multi-day workshops, snapshot webinars and other online educational events to help.
It may surprise you to learn that much of Smart Manufacturing is built on open source software and hardware. We embrace open source completely to provide hands-on educational opportunities and to encourage students and professionals to get engaged with open source.
Your time is at a premium nowadays. Busy work schedules. Traffic. Family life. We understand. All of our events are live-streamed, recorded and instantly available. We also build unique, engaging and immersive web experiences to enrich and educate.
Need some ideas for a class project? Want to ask the community for technical advice? Have any questions about a workshop? We are listening! Start a conversation today on any of the platforms we support. We welcome the public to participate in the conversations as well.
A chapter is only as good as its ability to listen and adapt to the needs of its members. We welcome your feedback — good or bad. More than that, we strive to make our chapter entirely transparent in terms of finances, leadership meetings and how we impacting the community.


You can replace special characters in the XML or HTML files with their ASCII values that start with an apostrophe. To do that, select a character, and then on the main menu choose Edit | Encode XML/HTML Special Characters.


Tutorial¶
This guide can help you start working with CogDL.
Create a model¶
Here, we will create a spectral clustering model, which is a very simple graph embedding algorithm. We name it spectral.py and put it in cogl/models/emb directory.
First we import necessary library like numpy, scipy, networkx, sklearn, we also import API like ‘BaseModel’ and ‘register_model’ from cogl/models/ to build our new model:
import numpy as np
import networkx as nx
import scipy.sparse as sp
from sklearn import preprocessing
from .. import BaseModel, register_model
Then we use function decorator to declare new model for CogDL
@register_model('spectral')
class Spectral(BaseModel):
(...)
We have to implement method ‘build_model_from_args’ in spectral.py. If it need more parameters to train, we can use ‘add_args’ to add model-specific arguments.
@staticmethod
def add_args(parser):
"""Add model-specific arguments to the parser."""
pass
@classmethod
def build_model_from_args(cls, args):
return cls(args.hidden_size)
def __init__(self, dimension):
super(Spectral, self).__init__()
self.dimension = dimension
Each new model should provide a ‘train’ method to obtain representation.
def train(self, G):
matrix = nx.normalized_laplacian_matrix(G).todense()
matrix = np.eye(matrix.shape[0]) - np.asarray(matrix)
ut, s, _ = sp.linalg.svds(matrix, self.dimension)
emb_matrix = ut * np.sqrt(s)
emb_matrix = preprocessing.normalize(emb_matrix, "l2")
return emb_matrix
Create a dataset¶
In order to add a dataset into CogDL, you should know your dataset’s format. We have provided several graph format like edgelist, matlab_matrix and pyg. If your dataset is same as the ‘ppi’ dataset, which contains two matrices: ‘network’ and ‘group’, you can register your dataset directly use above code.
@register_dataset("ppi")
class PPIDataset(MatlabMatrix):
def __init__(self):
dataset, filename = "ppi", "Homo_sapiens"
url = "http://snap.stanford.edu/node2vec/"
path = osp.join(osp.dirname(osp.realpath(__file__)), "../..", "data", dataset)
super(PPIDataset, self).__init__(path, filename, url)
You should declare the name of the dataset, the name of file and the url, where our script can download resource.


Chapter 1 Sections 1.1 - 1.4
By: Jeremy Novak
Types of Delays and their causes
- Processing delay
This is the time required read a packet's header and process that header.
- Queueing Delay
This is the time that a packet spends waiting, in the queue, to be transmitted.
- Transmission Delay
This is the amount of time that it takes to send all of the bits in a packet.
- Propagation Delay
This is the time required for the data to travel from one router to another.
Propagation delay is related to the distance the information travles.


--- layout: basic-page title: Contact top-img: "placeholder photo.jpg" top-img-pos: 22%; meta-description: "Contact the Game Creation Society or any one of its officers on this page!" ---
General Information
<EMAIL_ADDRESS>Contact us here for professional inquiries, such as the resume book, recruiting events, and industry or alumni talks.
Vice President
{{vp.title}}
<EMAIL_ADDRESS>Director of Development
{{director.title}}
<EMAIL_ADDRESS>Public Relations Lead
{{prlead.title}}
<EMAIL_ADDRESS>Chief of Operations
{{chiefofops.title}}
sysadmin@gamecreation.org


Support for keep-together.within-line="always".
(MM)
Add support for conditional spaces in table-cells.
(VH)
Support alignment-adjust for images.
(AD) Thanks to Max Berger. Fixes 42785.
Partial application of the patch in Bugzilla 41044:
* addition of a generic PropertyCache to be used by all Property
types that can be safely canonicalized
* modified EnumProperty, StringProperty, NumberProperty, EnumNumber
and FixedLength to make use of the cache infrastructure
(AD) Thanks to Richard Wheeldon. Fixes 41044.
Slight improvement of relative font-weight handling in the properties
package.
(AD)
Add support for font auto-detection (easier font configuration).
(JM) Thanks to Adrian Cumiskey. Fixes 41831.
Add support for exact positioning of internal PDF links.
(JM) Thanks to Paul Vinkenoog. Fixes 42067.
Add support for the collapsing-border model in tables.
(VH, JM) Fixes 36934.
Add support for named destinations in PDF.
(JB)
Add support for a two-pass production for PostScript output to minimize file size. This
adds images only once and adds only the fonts that are really used.
(JM)
Support for GIF images in RTF output (RTF handler, only. Does not affect the RTF library.)
(JM)
Support for soft masks (transparency) with ImageIO image adapter.
(JM)
Added support for the soft hyphen (SHY) character.
(MM)
Added support for line-height-shift-adjustment property.
(MM)
Added support for the system property fop.home to
cli.Main.getJARList().
(SP)
Added support for display-align for table-cell in RTF output.
(JM) Fixes 40930.
Added support for UAX#14 type line breaking. Support does not extend across nested fo:inline elements.
(MM)
AFP Renderer: Bugfix for 1 bit images where the width is not a multiple of 8.
(JM)
Fixed incomplete support for Unicode Word Joiner characters (U+2060 and U+FEFF).
(MM)
Fixed the rendering of zero-width spaces for certain fonts by not generating them into
the area tree.
(JM) Thanks to Paul Vinkenoog. Fixes 42109.
Fixed a problem with disappearing footnotes inside hyphenated inlines (and footnotes with hyphenated inline child).
(LF)
Fix PDF Genaration for non-ASCII compatible locales.
(JM) Thanks to Martin Kögler. Fixes 41434.
Fix several exceptions when break-before/after is set on the first/last row of a table.
(VH)
Fix extra page break when break-before is set on both a table and its first row.
(VH)
Make keep-with-next and keep-with-previous work on fo:table.
(VH)
Fixed a problem with keep-with-next on table-rows. Once a keep-with-next was set
inside a table, the FO following the table would always be glued to the previous table.
(JM)
Fixed a problem with the auto-rotate-landscape setting in the PostScript renderer.
It didn't generate the right setpagedevice command.
(JM)
Fixed an IllegalArgumentException for absolutely positioned block-containers with a
border and no height/bpd set.
(JM)
If a line contained nothing but a linefeed, this didn't produce empty lines.
Replaced the auxiliary zero-width box with a glue the width of a line,
and shrinkable to zero-width.
(AD) Fixes 41652.
Stricter FOP user configuration checking
(VH) Thanks to Adrian Cumiskey. Fixes 40120.
Fix parsing 'url(...)' when the URL itself contains a bracketed part.
(AD) Thanks to Erwin Tratar. Fixes 41572.
Fix for NPE with PNG images for RTF output.
(JM)
Fix for properly parsing font-family names containing spaces.
(AD)
Fix incorrect behaviour of the BreakingAlgorithm when some inline content is wider than
the available ipd, causing a restart.
(LF) Fixes 41019.
Fix for PDF corruption when a TrueType font with spaces in its name is embedded and no
XML font metrics file for that font is used.
(JM)
Fix for ClassCastException when fo:wrapper was used as direct child of fo:flow.
Note: "id" attributes are still not handled properly on fo:wrapper!
(JM) Thanks to Adrian Cumiskey. Fixes 41426.
Refactoring in the fo package:
-> removal of the childNodes instance member in fop.fo.FObj
-> addition of a firstChild instance member in fop.fo.FObj
-> addition of a siblings instance member in fop.fo.FONode
-> addition of a FONodeIterator interface in FONode + corresponding implementation in FObj
-> changed implementations of FObj.addChildNode(), .removeChild() and .getChildNodes()
(AD) Fixes 41656.
Code cleanup and restructuring:
Refactoring of PageSequenceLayoutManager and provide common FObj id property use
(AD) Thanks to Adrian Cumiskey. Fixes 42089.
Updated PDF/A-1b support according to ISO-19005-1:2005/Cor.1:2007.
(JM)
Use source resolution setting for bitmap images which don't provide their own
resolution.
(JM) Thanks to Hussein Shafie. Fixes 42406.


There are currently no specific recommendations for parental or peer influence on children/young people’s sports participation or physical activity, although many studies have shown a relationship between parent and childhood activity (Trost et al. 2003).
The UK-wide Chief Medical Officers’ guidelines for physical activity for parents/adults, recommend that over a week, activity should add up to at least 150 minutes (2½ hours) of moderate intensity activity. This should be completed in bouts of 10 minutes or more, or to do 30 minutes on at least 5 days a week.
The benchmarks used by the Research Work Group for this indicator were: (1) Percentage of parents who meet the Global Recommendations on Physical Activity for Health, and (2) Percentage of family members (e.g., parents, guardians) who are physically active with their kids.
One nationally representative data source was used by the Research Work Group to assign a family and peer grade.
National Survey for Wales (2016/17)
The National Survey for Wales collected data on over 10,000
randomly-selected people aged 16 and over across Wales. The
2016/17 survey found that
59% of parents were moderately active for 150 minutes per
week
and 8% of parents took part in vigorous activity for more than 75
minutes per week. Further, it was revealed that 31% of parents
took their child to the playground and 20% of parents took part in
informal games with their child such as playing Frisbee.
The National Survey for Wales is representative across all regions
in Wales. Given that the data from Family and Peers was derived
from only one data source, this may be viewed as a limitation.
Likely biases in the results include an over-emphasis on parental
involvement as there was a lack of representative data on peers.


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Pallab Mahmud
Apr 11, 2014
A friend ask me if he could see my GitHub Pages setup. Well sure just look at my repositories But than i noticed that it's private for no reason - so here we go! https://github.com/minddust/minddust.github.io tl;dr Maybe there are some things you like to know or wanna see: All script or style changes are compiled and commited locally data files workaround to filter by category and by tag (cause GitHub’s jekyll setup doesn’t allow you to use plugins) post usage of data information
Pallab Mahmud
Jan 15, 2014
Today I switched from my former vps + django setup to github + jekyll aka GitHub Pages. Main reasons in no particular order: no security updates no worries about crashing servers no server costs no need for any dynamic content highly available through GitHub cdn I am really impressed of this awesome GitHub feature!
Pallab Mahmud
Dec 31, 2013
I'm using Django's spaceless template-tag a lot, but after adding some code inside a pre tag I recognised that everything left is a squeezed string. I never came up with that problem before. The builtin spaceless tag is doing just fine. So after a little bit of searching I quickly found some resources about that topic: https://code.djangoproject.com/ticket/15798<EMAIL_ADDRESS>Summary: not possible with builtin methods not coming with future versions It was my fault to expect something different from a tag which does exactly what it should. But this doesn't matter - let's build a new template tag that does the...
Pallab Mahmud
Nov 11, 2013
One of my biggest problems with my own websites (since 2001) was always pushing content. Or.. was it to finish the never ending design part which don't let me do it? However - this is now an attempt to do better! ;-)


/** * @author Richard Davey<EMAIL_ADDRESS>* @copyright 2014 Photon Storm Ltd. * @license {@link https://github.com/photonstorm/phaser/blob/master/license.txt|MIT License} */ /** * @class Phaser.Signal * @classdesc A Signal is used for object communication via a custom broadcaster instead of Events. * @author Miller Medeiros http://millermedeiros.github.com/js-signals/ * @constructor */ Phaser.Signal = function () { /** * @property {Array.<Phaser.SignalBinding>} _bindings - Internal variable. * @private */ this._bindings = []; /** * @property {any} _prevParams - Internal variable. * @private */ this._prevParams = null; // enforce dispatch to aways work on same context (#47) var self = this; /** * @property {function} dispatch - The dispatch function is what sends the Signal out. */ this.dispatch = function(){ Phaser.Signal.prototype.dispatch.apply(self, arguments); }; }; Phaser.Signal.prototype = { /** * If Signal should keep record of previously dispatched parameters and * automatically execute listener during `add()`/`addOnce()` if Signal was * already dispatched before. * @property {boolean} memorize */ memorize: false, /** * @property {boolean} _shouldPropagate * @private */ _shouldPropagate: true, /** * If Signal is active and should broadcast events. *
IMPORTANT: Setting this property during a dispatch will only affect the next dispatch, if you want to stop the propagation of a signal use `halt()` instead.
 * @property {boolean} active * @default */ active: true, /** * @method Phaser.Signal#validateListener * @param {function} listener - Signal handler function. * @param {string} fnName - Function name. * @private */ validateListener: function (listener, fnName) { if (typeof listener !== 'function') { throw new Error( 'listener is a required param of {fn}() and should be a Function.'.replace('{fn}', fnName) ); } }, /** * @method Phaser.Signal#_registerListener * @param {function} listener - Signal handler function. * @param {boolean} isOnce - Description. * @param {object} [listenerContext] - Description. * @param {number} [priority] - The priority level of the event listener. Listeners with higher priority will be executed before listeners with lower priority. Listeners with same priority level will be executed at the same order as they were added. (default = 0). * @return {Phaser.SignalBinding} An Object representing the binding between the Signal and listener. * @private */ _registerListener: function (listener, isOnce, listenerContext, priority) { var prevIndex = this._indexOfListener(listener, listenerContext), binding; if (prevIndex !== -1) { binding = this._bindings[prevIndex]; if (binding.isOnce() !== isOnce) { throw new Error('You cannot add'+ (isOnce? '' : 'Once') +'() then add'+ (!isOnce? '' : 'Once') +'() the same listener without removing the relationship first.'); } } else { binding = new Phaser.SignalBinding(this, listener, isOnce, listenerContext, priority); this._addBinding(binding); } if (this.memorize && this._prevParams){ binding.execute(this._prevParams); } return binding; }, /** * @method Phaser.Signal#_addBinding * @param {Phaser.SignalBinding} binding - An Object representing the binding between the Signal and listener. * @private */ _addBinding: function (binding) { //simplified insertion sort var n = this._bindings.length; do { --n; } while (this._bindings[n] && binding._priority <= this._bindings[n]._priority); this._bindings.splice(n + 1, 0, binding); }, /** * @method Phaser.Signal#_indexOfListener * @param {function} listener - Signal handler function. * @return {number} Description. * @private */ _indexOfListener: function (listener, context) { var n = this._bindings.length, cur; while (n--) { cur = this._bindings[n]; if (cur._listener === listener && cur.context === context) { return n; } } return -1; }, /** * Check if listener was attached to Signal. * * @method Phaser.Signal#has * @param {Function} listener - Signal handler function. * @param {Object} [context] - Context on which listener will be executed (object that should represent the `this` variable inside listener function). * @return {boolean} If Signal has the specified listener. */ has: function (listener, context) { return this._indexOfListener(listener, context) !== -1; }, /** * Add a listener to the signal. * * @method Phaser.Signal#add * @param {function} listener - Signal handler function. * @param {object} [listenerContext] Context on which listener will be executed (object that should represent the `this` variable inside listener function). * @param {number} [priority] The priority level of the event listener. Listeners with higher priority will be executed before listeners with lower priority. Listeners with same priority level will be executed at the same order as they were added. (default = 0). * @return {Phaser.SignalBinding} An Object representing the binding between the Signal and listener. */ add: function (listener, listenerContext, priority) { this.validateListener(listener, 'add'); return this._registerListener(listener, false, listenerContext, priority); }, /** * Add listener to the signal that should be removed after first execution (will be executed only once). * * @method Phaser.Signal#addOnce * @param {function} listener Signal handler function. * @param {object} [listenerContext] Context on which listener will be executed (object that should represent the `this` variable inside listener function). * @param {number} [priority] The priority level of the event listener. Listeners with higher priority will be executed before listeners with lower priority. Listeners with same priority level will be executed at the same order as they were added. (default = 0) * @return {Phaser.SignalBinding} An Object representing the binding between the Signal and listener. */ addOnce: function (listener, listenerContext, priority) { this.validateListener(listener, 'addOnce'); return this._registerListener(listener, true, listenerContext, priority); }, /** * Remove a single listener from the dispatch queue. * * @method Phaser.Signal#remove * @param {function} listener Handler function that should be removed. * @param {object} [context] Execution context (since you can add the same handler multiple times if executing in a different context). * @return {function} Listener handler function. */ remove: function (listener, context) { this.validateListener(listener, 'remove'); var i = this._indexOfListener(listener, context); if (i !== -1) { this._bindings[i]._destroy(); //no reason to a Phaser.SignalBinding exist if it isn't attached to a signal this._bindings.splice(i, 1); } return listener; }, /** * Remove all listeners from the Signal. * * @method Phaser.Signal#removeAll */ removeAll: function () { var n = this._bindings.length; while (n--) { this._bindings[n]._destroy(); } this._bindings.length = 0; }, /** * Gets the total number of listeneres attached to ths Signal. * * @method Phaser.Signal#getNumListeners * @return {number} Number of listeners attached to the Signal. */ getNumListeners: function () { return this._bindings.length; }, /** * Stop propagation of the event, blocking the dispatch to next listeners on the queue. * IMPORTANT: should be called only during signal dispatch, calling it before/after dispatch won't affect signal broadcast. * @see Signal.prototype.disable * * @method Phaser.Signal#halt */ halt: function () { this._shouldPropagate = false; }, /** * Dispatch/Broadcast Signal to all listeners added to the queue. * * @method Phaser.Signal#dispatch * @param {any} [params] - Parameters that should be passed to each handler. */ dispatch: function () { if (!this.active) { return; } var paramsArr = Array.prototype.slice.call(arguments); var n = this._bindings.length; var bindings; if (this.memorize) { this._prevParams = paramsArr; } if (!n) { // Should come after memorize return; } bindings = this._bindings.slice(); //clone array in case add/remove items during dispatch this._shouldPropagate = true; //in case `halt` was called before dispatch or during the previous dispatch. //execute all callbacks until end of the list or until a callback returns `false` or stops propagation //reverse loop since listeners with higher priority will be added at the end of the list do { n--; } while (bindings[n] && this._shouldPropagate && bindings[n].execute(paramsArr) !== false); }, /** * Forget memorized arguments. * @see Signal.memorize * * @method Phaser.Signal#forget */ forget: function(){ this._prevParams = null; }, /** * Remove all bindings from signal and destroy any reference to external objects (destroy Signal object). * IMPORTANT: calling any method on the signal instance after calling dispose will throw errors. * * @method Phaser.Signal#dispose */ dispose: function () { this.removeAll(); delete this._bindings; delete this._prevParams; }, /** * * @method Phaser.Signal#toString * @return {string} String representation of the object. */ toString: function () { return '[Phaser.Signal active:'+ this.active +' numListeners:'+ this.getNumListeners() +']'; } }; Phaser.Signal.prototype.constructor = Phaser.Signal;


Spoilers: First look at Mel's funeral in EastEnders — but will Lisa crack?
Mel Owen (Tamzin Outhwaite) met her demise in EastEnders several weeks back when she was hit by a lorry following a cataclysmic car crash, which occurred during a high-speed chase with Sharon Mitchell (Letitia Dean). The legendary character was attempting to reveal that Sharon’s baby isn’t Phil’s (Steve McFadden) but she was tragically killed before she could do so.
Upon learning the news of her best mate’s death, Lisa (Lucy Benjamin) was devastated, and resolved to get revenge on her behalf. Yes, after calling Sharon a murderer, she proceeded to reveal the truth to Phil, claiming that Sharon’s child isn’t his.
However, Phil refused to believe it and proceeded to threaten her if she didn’t stop spreading these so-called lies.
With Louise (Tilly Keeper) concerned for her mum’s wellbeing, it’s clear that all those around Lisa believe that she’s having a breakdown — which, according to them, would explain the claims she’s been making.
Advertisement Advertisement
Although her claims are more than accurate, it’s true that Lisa’s struggling to cope with Mel’s death, and new images have revealed how devastated she is as the day of her life-long friend’s funeral arrives.
Yes, it’s an emotional day in Walford, as the residents of the Square gather to bid farewell to Mel.
However, with Lisa struggling to come to terms with what’s happened, will she manage to keep her cool as she bids adieu to her best mate?
Or will the emotional day result in her continuing on Mel’s mission to get revenge on the Mitchells? Phil attempted to silence her once already, but whether or not she’s intent on seeing Sharon suffer remains to be seen.
Either way, Mel’s funeral will no doubt be a sad day, given just how iconic an EastEnders character she truly was.
EastEnders airs these scenes on Monday 2nd December at 8pm on BBC One.


Module: WscSdk::ApiResponse
Overview
Module that adds common functionality for an API response object.
Instance Method Summary collapse
-
#success? ⇒ Boolean
Determine if the response was a result of a successful API call.
Instance Method Details
#success? ⇒ Boolean
Determine if the response was a result of a successful API call.
15 16 17 18 19 20 21 |
# File 'lib/wsc_sdk/modules/api_response.rb', line 15 def success? if @success.nil? @success = true end @success end |


Hi there
Resources to vote
Here are the links to register to vote:
Vote.gov
Vote.org
USA.gov
Sorry,you are not old enough to vote yet.
However, here are some websites to boost your knowledge about voting!
USA.gov
USA.gov
USA.gov


--- layout: default ---
Apache Software as a Sensor™ (SensSoft) incorporates a number of components that work together to provide user-experience researchers, project managers and software developers insights about how web applications are used. Each of the components of Apache SensSoft is made available through its own repository, allowing its distinctive capabilities to grow organically. A simplified system architecture ensures that the components will continue to share data and work together efficiently throughout their evolution.
Apache SensSoft is a user activity logging and analytics system that enables developers to instrument and extract design and user insights from their applications. It was originally developed at Draper for DARPA's XDATA program as a means of evaluating and improving tools for big data analysis and exploration. Commercially available as Draper's Software as a Sensor™, Apache SensSoft aims to provide a more complete and customizable user analytics platform.


{% extends "base.html" %} {% block title %}Index{% endblock %} {% block page_content %}
The next big thing!
If you do not want to bother with registration, use test user!
Email<EMAIL_ADDRESS>password: 123
Of course we use email validation for real users
{% endblock %}


This test checks that if we remove an image that trigger some other images to be shown, we will show them
Fixed with asking to show image at onload


Stop. Don't build that platform!
Find an existing community to join! Don't reinvent the wheel.
Your project missing? Fork this site on GitHub, add your framework to data.js and submit a pull request. Or join our effort to add a CMS. Or our effort to improve the taxonomy. Or our effort to add crawlers. Share in a bounty of $20k for contributions.
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Thomas Fuchs for Microjs.


SQL-Server Anomaly Detection Service¶
SQL Server Anomaly Detection Service is an open source software library for anomaly detection service utilizing state-of-the-art machine learning techniques. It is developed by DATA lab at Texas A&M University. The goal of SQLServerAD is to provide anomaly detection services which meets the demands for users in different fields, w/wo data science or machine learning background. SQLServerAD gives the ability to execute machine learning algorithms in-database without moving data outside SQL Server or over the network.
SQL-Server Anomaly Detection Service is featured for:
Full Stack Service which supports operations and maintenances from light-weight SQL based database to back-end machine learning algorithms and makes the throughput speed faster;
State-of-the-art Anomaly Detection Approaches including Statistical/Machine Learning/Deep Learning models with unified APIs and detailed documentation;
Powerful Data Analysis Mechanism which supports both static and time-series data analysis with flexible time-slice(sliding-window) segmentation.
API Demo¶
from utils.import_algorithm import algorithm_selection
from utils.utilities import output_performance,connect_server,query_data
# connect to the database
conn,cursor=connect_server(host, user, password)
# query data from specific time range
data = query_data(database_name,table_name,start_time,end_time)
# train the anomaly detection algorithm
clf = algorithm_selection(algorithm_name)
clf.fit(X_train)
# get outlier result and scores
prediction_result = clf.predict(X_test)
outlierness_score = clf.decision_function(test)
#visualize the prediction_result
visualize_distribution(X_test,prediction_result,outlierness_score)
Quick Start¶
python main.py --ground_truth --visualize_distribution
Results are shown as:¶
connect to TDengine success
Load dataset and table
Loading cost: 0.151061 seconds
Load data successful
Start processing:
100%|████████████████████████████████████| 10/10 [00:00<00:00, 14.02it/s]
==============================
Results in Algorithm dagmm are:
accuracy_score: 0.98
precision_score: 0.99
recall_score: 0.99
f1_score: 0.99
processing time: 15.330137 seconds
roc_auc_score: 0.99
==============================
connection is closed


Mushrooms (P. cubensis)
I consumed the dried and powdered mushrooms at approximately 11:00PM on a Saturday night. My two friends, Dan and Allison, had also consumed some powerful psychotropics, Psilocybin and MDMA, respectively. The first hour and a half of the trip consisted of a visit to the casino.  Pink lemonade and cigarettes were my new love affairs as I wandered through the rows of brightly colored machines. Eventually we departed the casino and headed home. I was starting to feel the peak come on and I began to prophesize the possible dangers of operating an automobile. With this in mind I took a fat resin hit from my pipe (which had been coated by seven bowls of nugs the night before).
This is where the trip really began.
The drive home was fairly uneventful and we reached my friend's house safely. I received a phone call from one of my good friends while I mingled in the dark kitchen enjoying the interplay of lights and shadows on the wood floor. I made my way to the basement where things became pretty intense. We turned out the lights and I began to dance to the techno trance emanating from the stereo speakers. I could feel the music travel through my limbs and my blood pump faster through my veins.  I looked at the ceiling and saw my shadow staring back down at me. I reached out and shook my shadow's hand and then he extended his arm around to pat me on the back. I felt an amazing connection to my own self through this. My shadow was a huge three-dimensional figure representing me. It was much more intense than simply looking in the mirror because it was like I was faced by another version of myself.
I played with my shadow for half an hour and then proceeded to swim through the darkness and roll around on the floor through fractals and spirals of color.  I thought about how beautiful all of my friends were on the inside and how much I loved my family. I felt the plants and trees outside connecting to me and I could feel the life force of the planet. I balanced upside down in the 'tripod' position and laughed hysterically, bathing in mushroom ecstacy. I made patterns in the darkness with my lighter and watched the afterglow patterns morph and sink into the ground. We turned the lights on and it was like a pulsating star exploded within my vision, sending bright patterns of light everywhere.
I said my farewells to my friends and decided it was time to go home and attempt to sleep. It was now approximately 3:00AM. I put some Aphex Twin and Moby into my disc changer and listened to the infinitely complex beats of Aphex Twin and created intense patterns of light behind my eyes (it was absolutely incredible). I listened to Moby next and I had a vision of my entire life being presented for me to review and interpret. I saw my birth, my mother crying, my casket being lowered into the ground and my children crying. I began to cry. It took hold of me and sent amazing waves of emotion through my whole body and I think that I experienced bliss. I sat in the afterglow of this event, bathing in the immense beauty of life and the amazing powers of psychedelic drugs.
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.


cCollisionAABBox contains the properties and methods of an axis-aligned bounding box, as used in the AABB collision detection algorithm. More...
#include <CCollisionAABBBox.h>
Public Member Functions | |
| cCollisionAABBBox () | |
| Default constructor of cCollisionAABBBox. | |
| cCollisionAABBBox (const cVector3d &a_min, const cVector3d &a_max) | |
| Constructor of cCollisionAABBBox. | |
| virtual | ~cCollisionAABBBox () |
| Destructor of cCollisionAABBBox. | |
| cVector3d | getCenter () const |
| Return the center of the bounding box. | |
| cVector3d | getExtent () const |
| Return the extent (half the width) of the bounding box. | |
| void | setCenter (const cVector3d &a_center) |
| Set the center of the bounding box. | |
| void | setExtent (const cVector3d &a_extent) |
| Set the extent (half the width) of the bounding box. | |
| void | setValue (const cVector3d &a_min, const cVector3d &a_max) |
| Set the center and extent of the box based on two points. | |
| bool | contains (const cVector3d &a_p) const |
| void | enclose (const cCollisionAABBBox &a_boxA, const cCollisionAABBBox &a_boxB) |
| void | enclose (const cVector3d &a_point) |
| void | enclose (const cCollisionAABBBox &a_box) |
| Modify the bounding box to bound another box. | |
| void | setEmpty () |
| Initialize a bounding box to center at origin and infinite extent. | |
| double | getLowerX () const |
| Return the smallest coordinate along X axis. | |
| double | getUpperX () const |
| Return the largest coordinate along X axis. | |
| double | getLowerY () const |
| Return the smallest coordinate along Y axis. | |
| double | getUpperY () const |
| Return the largest coordinate along Y axis. | |
| double | getLowerZ () const |
| Return the smallest coordinate along Z axis. | |
| double | getUpperZ () const |
| Return the largest coordinate along Z axis. | |
| double | size () const |
| Return the length of the longest axis of the bounding box. | |
| int | longestAxis () const |
| void | render () |
| Draw the edges of the bounding box. | |
Public Attributes | |
| cVector3d | m_center |
| The center of the bounding box. | |
| cVector3d | m_extent |
| The extent (half the width) of the bounding box. | |
| cVector3d | m_min |
| The minimum point (along each axis) of the bounding box. | |
| cVector3d | m_max |
| The maximum point (along each axis) of the bounding box. |
cCollisionAABBox contains the properties and methods of an axis-aligned bounding box, as used in the AABB collision detection algorithm.
| bool cCollisionAABBBox::contains | ( | const cVector3d & | a_p | ) | const [inline] |
Test whether this box contains the given point.
| void cCollisionAABBBox::enclose | ( | const cVector3d & | a_point | ) | [inline] |
Modify the bounding box as needed to bound the given point.
| a_point | The point to be bounded. |
| void cCollisionAABBBox::enclose | ( | const cCollisionAABBBox & | a_boxA, | |
| const cCollisionAABBBox & | a_boxB | |||
| ) | [inline] |
Set the bounding box to bound the two given bounding boxes.
| a_boxA | The first bounding box to be enclosed. | |
| a_boxB | The other bounding box to be enclosed. |
| int cCollisionAABBBox::longestAxis | ( | ) | const [inline] |
Return the index of the longest axis of the bounding box.


Note: Pull requests with zero build count are counted as zero failures, because for non-master commits, Dr. CI currently does not record completely-successful commits to the database.


--- layout: api title: "v2.1.8 JavaScript Library: L.mapbox.legendControl(options)" categories: api version: v2.1.8 permalink: /api/v2.1.8/l-mapbox-legendcontrol/ ---
Extends: L.Control
A map control that shows legends added to maps in Mapbox. Legends are auto-detected from active layers.
| Options | Value | Description |
|---|---|---|
| options optional | object | An options object. Beyond the default options for map controls, this object has one special parameter: sanitizer : A function that accepts a string, and returns a sanitized result for HTML display. The default will remove dangerous script content, and is recommended. |
Example:
var map = L.mapbox.map('map').setView([38, -77], 5);
map.addControl(L.mapbox.legendControl());
Returns: a L.mapbox.legendControl
object.
Class: L.mapbox.LegendControl
Adds a legend to the legendControl.
| Options | Value | Description |
|---|---|---|
| legend required | string | A string which may contain HTML. It will be sanitized by the legendControl's sanitizer option. |
Removes a legend from the legendControl.
| Options | Value | Description |
|---|---|---|
| legend required | string | legend data to remove. |


All Executions
Id
Type
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Time/Hour
User
AS
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No Executions Available
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Click the button to set the href value to https://www.w3schools.com.
Take me to w3schools.com
Take me to google.com


\s |
White space |
\S |
Not white space |
\d |
Digit |
\D |
Not digit |
\w |
Word |
\W |
Not word |
\x |
Hexadecimal digit |
\O |
Octal digit |
\p |
()*+,-.:;<=>?[]!"'#$%&{} (punctuation characters) |
+ |
To match one or more times (eg \w+ or \d+) |
* |
To match zero or more times (eg \w* or \d*) |
. |
Any character except new line (\n) |
(a|b) |
a or b |
[abc] |
Range (a or b or c) |
[^abc] |
Not (a or b or c) |
[a-q] |
Lower case letter from a to q |
[A-Q] |
Upper case letter from A to Q |
[0-7] |
Digit from 0 to 7 |


It is almost a habit of mine to experiment with different levels of this particular substance to see what it will do to me. I was heavily interested in seeing extremes a couple of years back, but recently with more research and experience I have been exploring relatively lower doses and analyzing their effects on my existence.
Usually the setting will be somewhere public, such as in class or at work. I have the attitude that no one really knows for sure what is going on inside you unless you tell.
If I do this habitually, I will deplete whatever chemical it reacts with in my brain and the pleasant effects go away, and are replaced with irritability and dry mouth, if anything at all.
The last time I explored what this would do was last night, in April. At 9:30 I only took two maximum-strength pills (60 mg pseudoephedrine each) - through experimentation I have found that this is the dose that heightens the positive effects and minimizes the negative effects. At higher doses, I have seen an increase of nausea (240 to 420 mg) that overruns any 'body high' feeling I may get. 180 mg would sometimes make me too listless to function. However, remember that everyone's body chemistry is different and what works for me may not work for you.
Within thirty minutes, I was beginning to feel dissociated. I took a very lax attitude toward my work and would try to accomplish tasks with the least amount of effort possible.  Words were slow to come. When I would be asked a question, I would have to think it over in my mind before producing an answer. Even then, I would pause and have to think...'what's the word I am looking for' many times. Co-workers were none the wiser, having known that I had not acquired much sleep the night before.
By the time I left work at midnight I had gotten quite a buzz. I felt a pleasant sensation and driving home seemed effortless - probably too effortless. Please be careful when driving, as it seems like I was just playing a video game. I had to remind myself that cars are real and that I was not just floating home. I found that I could breathe more easily and sing higher and better than I had before. I am not sure whether that was just a shift in confidence or if the decongestant effects of the pseudoephedrine really caused the improvement.
Finally, I got online and really wanted to chat, but by then I was peaking - it was about 1:00 by then. I could not really think straight and I wanted to lie in my bed. Lying there, I knew how wonderful it felt to be here, I could feel how my blankets were wrapped around me and I felt dissociated from almost everything, alone in time and space. It was a wonderful, relieved feeling unlike with anything else I have ever done.
It's the type of thing that makes me want that feeling, all the time, and it is difficult to accept that I cannot do this every day or it will not be the same. When it's gone, it's gone.
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.


Prabhjot Singh
Introduction
About
Work
Testimonials
Gallery
Collaborations
Contact
General Electronics


|
Archivist
<IP_ADDRESS>
|
Namespaces |
Classes | |
| class | App |
| Interaction logic for App.xaml More... | |
| class | ApplicationPageValueConverter |
| Converts Pages value into proper page to display More... | |
| class | Backup |
| Class responsible for making copies More... | |
| class | BaseAttachedProperty |
| A base attached property to replace the vanilla WPF attached property More... | |
| class | BasePage |
| Base page class for all pages More... | |
| class | BaseValueConverter |
| class | BaseViewModel |
| Base class for all ViewModels More... | |
| class | BolleanToCollapsedVisibilityValueConverter |
| Convert bool value to Visibility Collapsed value True => Collapsed False => Visible More... | |
| class | DialogMessageBox |
| DialogMessageBox More... | |
| class | DialogViewModel |
| ViewModel for Dialog More... | |
| class | DialogWindow |
| Interaction logic for DialogWindow.xaml More... | |
| class | DriveHelper |
| Helper class that allows to perform additional actions on drives More... | |
| class | InfoPage |
| InfoPage More... | |
| class | InfoViewModel |
| ViewModel for InfoPage More... | |
| class | IOHelper |
| Helper class that allows to perform additional actions on files More... | |
| class | KeyboardShortcut |
| Class that represents keyboard shortcut More... | |
| class | KeyboardShortcutManager |
| Class that manages shortcuts. Manager is listening to keyboard strokes when registered key combination appear will execute shortcuts action. More... | |
| class | MainWindow |
| Interaction logic for MainWindow.xaml More... | |
| class | MainWindowViewModel |
| ViewModel for the MainWindow. More... | |
| class | MessageBox |
| MessageBox allows to show DialogWindow. More... | |
| class | MessageBoxTypeToVisibilityValueConverter |
| Converts MessageBoxType into Visibility More... | |
| class | OpenDialogControl |
| Interaction logic for OpenDialogControl.xaml More... | |
| class | OpenDialogViewModel |
| Choose folder, save file, open file dialog More... | |
| class | PageToActiveButtonValueConverter |
| Converts selected page to color, soo color will stay even if mouse is not there More... | |
| class | Project |
| Class representing project More... | |
| class | ProjectItemControl |
| Interaction logic for ProjectItemControl.xaml More... | |
| class | ProjectItemControlViewModel |
| ViewModel representing Archivist.Project. More... | |
| class | ProjectsPage |
| ProjectsPage More... | |
| class | ProjectsViewModel |
| ViewModel for ProjectsPage More... | |
| class | RelayCommand |
| class | ReportPage |
| ReportPage More... | |
| class | ResourceHelper |
| Helper class that allows to perform additional actions on static resources More... | |
| class | Resources |
| A strongly-typed resource class, for looking up localized strings, etc. | |
| class | Settings |
| class | SettingsPage |
| SettingsPage More... | |
| class | SettingsViewModel |
| class | Size |
| Common File Sizes More... | |
| class | Storage |
| class | ToStringValueConverter |
| Converts KeyboardShortcut to string soo user will know that he is required to press some shortcut More... | |
| class | UserSettings |
| Class that stores all settings More... | |
| class | WindowNameArg |
| Contains new window Title More... | |
Enumerations | |
| enum | MessageBoxResult { Yes, No } |
| Results that MessageBox can return More... | |
| enum | MessageBoxType { Ok, YesNo } |
| MessageBox types that can be created More... | |
| enum | ClearResult { Success, Fail } |
| Possible clearing results More... | |
| enum | Pages { Pages.Projects, Pages.Settings, Pages.Info } |
| Types of pages that can be created More... | |
| enum | OpenDialogType { OpenFileDialog, SaveFileDialog, OpenFolderDialog } |
| Type of dialog More... | |
|
strong |
Possible clearing results
|
strong |
Results that MessageBox can return
|
strong |
MessageBox types that can be created
|
strong |
Type of dialog
|
strong |


Protein of the Month |
March 2007
MORE ON THIS MONTH’S PROTEIN
|
|
OTHER PROTEINS OF INTEREST |
|
Molecule of the Month: Zinc Fingers |
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Protein-protein and protein-nucleic acid interactions are essential functions of many proteins. Proteins have developed different ways to bind other molecules. Zinc-binding repeats, known as zinc fingers (ZnF), are one such molecular scaffold. First identified as a zinc-binding domain responsible for binding DNA in the transcription factor IIIA from Xenopus oocytes, there are now multiple superfamilies of ZnF proteins known to bind DNA, RNA or protein. In addition, there are various classes of synthetically produced ZnF proteins that target specific genomic sites. These different ZnF proteins display versatility in both structure and function.
Several different ZnF motifs have been characterised, and vary with regard to structure, as well as binding modes and affinities. ZnF motifs can coordinate one or more zinc atoms. They display considerable versatility in binding modes, even between members of the same class (e.g. some bind DNA, others protein), suggesting that ZnF motifs are stable scaffolds that have evolved specialised functions. Zinc-binding motifs are stable structures, and they rarely undergo conformational changes upon binding their target. Most ZnF proteins contain multiple finger-like protrusions that make tandem contacts with their target molecule, often recognising extended substrates. A few of the most common structurally defined ZnF motifs are described below.
Classical (C2H2) ZnF motifs
These motifs contain a short beta hairpin and an alpha helix (beta/beta/alpha structure), where a single zinc atom is held in place by Cys(2)His(2) (C2H2), Cys(2)HisCys (C2HC), or Cys(3)His (CCCH) residues. These are the most common DNA-binding motifs found in eukaryotic transcription factors. Transcription factors usually contain several zinc fingers (each with a conserved beta/beta/alpha structure) capable of making multiple contacts along the DNA.
GATA-type ZnF motifs
These motifs constitute type IV ZnFs with the general sequence C-X(2)-C-X(17-20)-C-X(2)-C, followed by a highly basic region. They can be subdivided into subgroups depending upon the length of the internal loop: type IVa have a 17-residue loop (CX2CX17CX2C), while type IVb have a 18-residue loop (CX2CX18CX2C). ZnF motifs with 19 or 20-residue loops are rare and found mainly in fungi. GATA factors play essential roles in development, differentiation and control of cell growth in eukaryotes. GATA proteins often contain more than one ZnF domain, where one domain binds DNA and the other modulates DNA binding, often by binding other factors.
RanBP-type ZnF motifs
These motifs consist of two short beta hairpins that sandwich a single zinc atom, and are similar in structure to the zinc-ribbon fold. These domains were first identified in the nuclear export protein RanBP2. RanBP ZnF domains are known to interact with ubiquitin.
A20-type ZnF motifs
These motifs bind a single zinc atom and were first identified in protein A20. These motifs are known to bind to ubiquitin, but contact a different region of ubiquitin from RanBP ZnF motifs.
LIM-type ZnF motifs
LIM domains coordinate one or more zinc atoms, and are named after the three proteins (LIN-11, Isl1 and MEC-3) in which they were first found. They consist of two zinc-binding motifs that resemble GATA-like ZnFs, however the residues holding the zinc atom(s) are variable, involving Cys, His, Asp or Glu residues. LIM domains are involved in proteins with differing functions, including gene expression, and cytoskeleton organisation and development. Protein containing LIM ZnF domains include the adaptor protein PINCH.
MYND-type ZnF motifs
MYND domains coordinate two zinc atoms, and are named after the three proteins (Myeloid translocation protein 8, Nervy, and DEAF-1) in which they were first found. They consist of two zinc-binding motifs, the first containing a short beta-hairpin, while the second consists of two short alpha-helices. Proteins containing MYND ZnF domains include the transcriptional co-repressor protein BS69.
RING-type ZnF motifs
RING (really interesting new gene) domains coordinate two zinc atoms. Protein containing RING ZnF domains include KAP-1, PML, and several E3 ubiquitin ligases (catalyse final step of protein ubiquitination pathway).
PHD-type ZnF motifs
PHD domains coordinate two zinc atoms, and are named after the class of proteins (plant homeodomain) in which they were first found. PHD ZnF domains differ from RING-type domains in containing a highly conserved Trp residue involved in the hydrophobic core; this residue is exposed to solvent in RING-type ZnF domains. Protein containing PHD ZnF domains include Ing2 (inhibitor of growth protein 2), BPTF, Pygopus (Wnt signalling pathway), WSTF transcription factor, and Datf1 (Death-associated transcription factor 1).
TAZ-type ZnF motifs
TAZ (transcriptional adaptor zinc-binding) domains consist of two ZnF motifs form a distinct fold unrelated to other ZnFs. Protein containing TAZ ZnF domains include CBP acetyltranscferase.


Uses a cluster strategy to render points representing clusters of features.
The Cluster strategy lets you display points representing clusters of features within some pixel distance.
This particular example uses the Flickr API.
Hover over a cluster on the map to see the photos it includes.


Ghost of Adventurer:
Here you go! Oh, you like it? I prefer the relics! Bring some more and I'll give you more scraps of paper.


150 characters left
Upload a photo of size less than 300 X 300
Model id for landing page
What do you want to call your website ?
Mail_Url provides authentication to email-id from where emails shall be sent to users. It's in format http://username:password@example.com:25
http://username:password@example.com:25
Type command which g-obj to get path of g-obj convertor in your server. BRL-CAD must already be installed for OGV to work.
which g-obj
Use the command which mgedto get path of mged.
which mged


Discounts
This page explains how to create and use discount codes that can be applied to ticket purchases.
Creating discount codes
To create discount codes for your events:
- Go to the edit page of your event.
- Select the Features » Discounts tab.
- Click the Add discount button.
- Fill the fields in the form and click the Save button.
You can configure the following fields for the discount:
- Name: The code that must be introduced during the ticket purchase to apply the discount.
Using a discount code
To use a discount:
-
Navigate to the ticket purchase page of the event.
-
Introduce the number of tickets for each category that you want to purchase. The page should display the total amount to pay under the Total section.
-
Click the Click here if you have a promotional code link.
-
Introduce the discount code in the input field that appears. Once introduced, the code is validated automatically.
-
Once the validation passes, the page subtracts the discount from the amount to pay.
-
To complete the ticket purchase, click the Check out button.
The discount is applied to the total amount before including our service fee. If the total value after using the discount is less or equal to zero then the ticket is considered free, and the service fee is not applied.


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{# comment so that vim detects htmldjango #}
Hello,
Someone requested to register their Discord account ({{ discord_tag }}) with your email ({{ email }}).
If this is correct, please click the link below. If not, you can ignore this email.
{% url 'discord_register_confirm' emailb64=emailb64 discord_tagb64=discord_tagb64 token=token as path %}
{% with host|add:path as fullurl %}
{{ fullurl }}
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Penn scores 18 to carry Drake over Lehigh 74-58
DES MOINES, Iowa (AP) - Roman Penn had 18 points and nine assists as Drake defeated Lehigh 74-58 on Thursday night.
Liam Robbins had 13 points and four blocks for Drake (4-1), which earned its fourth consecutive home victory. D.J. Wilkins added 13 points and Noah Thomas had 11.
Anthony Murphy, who was second on the Bulldogs in scoring coming into the contest with 12 points per game, was held to four points, and missed all four of his 3-point shots.
James Karnik had 14 points for the Mountain Hawks (3-3).
Drake takes on Miami (Ohio) on Monday. Lehigh takes on Saint Mary’s on the road on Saturday.
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com
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Before Change
// Will only work if `kernel` is a shared variable.
kernel_shape = kernel.eval().shape
image_shape = int_shape(x)
image_shape = _preprocess_conv2d_image_shape(data_format, image_shape)
kernel_shape = _preprocess_conv2d_filter_shape(data_format, kernel_shape)
conv_out = T.nnet.conv2d(x, kernel,
border_mode=th_padding,
After Change
raise ValueError("Unknown data_format ", data_format)
if hasattr(x, "_keras_shape"):
image_shape = _preprocess_conv2d_image_shape(int_shape(x), data_format)
else:
image_shape = None
if hasattr(kernel, "_keras_shape"):


{% extends 'base.html' %} {% block content %} Your Remaining limit is {{ Remaininglimit }} Back Remaining limit {% endblock %}


This is a simple example of including a graph diagram in an HTML page. View the source of this page to see the moving parts.
The approach uses SVG replacement. You write HTML, and the library replaces it with SVG. The important steps are:
<figure>
tag, containing HTML markup that defines the graph.The library will insert SVG inside the <figure>
element, and the CSS will hide the markup you wrote.
You'll see a picture of the graph, rendered as SVG.


{% block content %}
After every monthly Python meeting, we followup with a monthly workshop, currently scheduled for a Saturday afternoon. The intent of the workshops is to provide a hands-on followup on topics that were discussed in the general meeting so that concepts that were presented can be worked on by example and collaboration with other fellow Pythonistas!


No: 24A Idrisa Road, Baghdad.Republic of Iraq. Salam Greetings to you in the name of our Allah I am Mrs Mariam Khalifa, a devoted muslim,a new muslim convert of 56 years old after being converted from a christian family by my husband.For quite a good number of years now,I have been suffering from cancer of the breast and fibroid of the womb which has for a long time now affected my health and from all indications my condition is deteriorating by day and by my doctor's prediction I have less than six months to live. My husband who is now late was killed during the US/British attack against the president of my country (Sadam Hussain).My late husband was a member of the contract award committee of the republican ministry of petroleum and resources of Iraq under the regime of Sadam Hussein. Throughout the period of my marriage with my husband,all efforts to bear children proved abortive because of my poor state of health.My husband was a very wealthy and influential man during the post war Iraq. After his death,I inherited all his wealth since he has no other next of kin. Since it is now obvious that I may not survive my poor state of health, I have deemed it necessary to leave a legacy on Earth and give a positive account and justification of the life I lived on Earth before the Almighty Allah who will punish all those unbelivers and evil doers that murderd my husband and wants to control the Iraq oil wealth in the name of war against terrorism. This I want to achieve by committing part of this wealth in all sincerlity to fund mosques, Islamic orphanages,widows and also propagating the word of ALLAH and to ensure that the society upholds the views and beliefs of the holy Quran. The holy Quran emphasized so much on ALLAH'S benevolence and this has encouraged me to take this bold step hence the reason for taking this bold decision, I know that afterdeath, i will be with ALLAH the most beneficent and the most merciful. Please, note that this sum(us$12.4 Million) was securely deposited in a security/financial company overseas in my name by my husband . I have highlighted my attorney on the said sum and all the possible assistance he wouldrender to you on the documents covering the money so as to enable you receive it as I cannot follow it up because of my ill health.Presently, my attorny is in on assylum as he is also wanted by the American/British coallision forces in Iraq. I will also issue you a letter of authorization to anable the money be paid into your account.I want you and the Muslim community where you reside to always pray for me,My happiness is that i lived a life of a true devoted muslim worthy of emulation. Lastly, I honestly pray that this money when remitted to you will be judiciously used for the said purpose and you will take 10% as a compensation for your assistance in carrying out these humanitarian services. Whoever wants to serve ALLAH must serve him in truth and in fairness. Please always be prayerful all through your life.  May the almighty ALLAH continue to bless you. Best regards. Mrs. Mariam Khalifa,


--- layout: post title: "My Week in Review" date: 2015-01-04 18:00:00 +0000 categories: tags: image: https://s3.amazonaws.com/audreywatters/2015-01-04-duck.jpg imagecredits: https://www.flickr.com/photos/birdman_of_beaverton/15529934586 ---
Nope. But I realize that it’s time to plan some of my upcoming winter travel. (I have a hotel booked for Educon but not yet a flight. That's as far as I got.) Upcoming week: Hermosa Beach.
I’ve still been tweaking my websites. I’ve created new GitHub repos (and Hack Education subdomain) for Reclaim Your Domain, the new book I’m working on, and for the 2015 Ed-Tech Trends.
I’ve started a new project, Horizon Report Data Liberation – which is just what it sounds like.
I fixed my twitter bot, @audrey_ebooks (using this great guide by ReadWriteWeb).
I performed the annual New Year ritual of updating all my passwords. I use 1Password, which made it easier for me to identify the accounts I’ve signed up for. I also took the opportunity to delete a lot of accounts for sites I don’t use. StumbleUpon? Deleted. Plancast? Deleted. Etc. Etc.
I’ve picked back up Biella Coleman’s book on Anonymous. I watched a lot of college football on New Year’s Day. 2015 is off to a good start with the defeat of FSU and Alabama. Also: Go Ducks.