Woman googled 'I'm going to kill tonight - for fun' before 'murder'
A teenager who choked a man to death after meeting him on dating app Plenty of Fish had Googled ways to ‘kill and get away with it’, a court heard.
Jamie Lee Dolheguy, now 20, invited Maulin Rathod, 24, to her address in Victoria, Melbourne, in July 2018 after a brief text exchange.
While the pair were in bed, she then choked him with her hands, before wrapping a USB cable around his neck and strangling him to death, the Supreme Court of Victoria heard.
 I didn’t want to, but I did it.’
The court heard she also told officers: ‘It feels so good. I don’t want to be a killer.’
Dolheguy was neglected as a child and had been cared for by the state from the age of 10, the court was told.
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She had only been allowed to live on her own for the first time four months before, after her Department of Human Services carers deemed it was safe to do so.
Previously, she had two full-time carers from the age of 14, until the age of 18, the court heard.
On the night she saw Mr Rathod, she had contacted a support worker to tell them she had forgotten her medication.
She wrote in one message: ‘I feel really sick with bad temptations’, the court was told.
Dolheguy and Mr Rathod had only spoken briefly on Plenty of Fish, in which she said she had ‘extreme fetishes’, including ‘bondage and discipline’ and being ‘gang raped against her will’.
In the hours before her victim arrived, prosecutor Patrick Bourke told the court Dolheguy prepared to carry out murder.

When Mr Rathod arrived, Dolheguy was dressed in cosplay and the pair chatted in her bedroom, the court heard.
She later told police she warned Mr Rathod she had ‘psychopathic tendencies’ and ‘wasn’t safe’, but said the pair discussed ‘choke play’ before choosing a signal for if he became uncomfortable.
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The court heard she told officers she had choked him, before wrapping a cord around his neck so that ‘he wouldn’t wake up’.
Paramedics managed to resuscitate Mr Rathod and he was taken to hospital, but died the following day.

Sharon Lacy, defending Dolheguy, agreed that her client had killed Mr Rathod but stated that it was unintentional, telling the court she was a ‘very damaged person’.
She said the defendant had told police her mental health had been ‘like a warzone’ and she had hoped her victim would ‘run away and call the police’.
Ms Lacy said: ‘Ms Dolheguy was so damaged, and her mind was in such chaos that you couldn’t be satisfied she had murderous intent.’
The trial continues.
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{% extends 'layout-newia.html' %} {% block pageTitle %} Find an urgent NHS mental health helpline {% endblock %} {% block beforeContent %} {% endblock %} {% block content %}
If you live in England, you can refer yourself to an NHS psychological therapies service (IAPT).
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Anyone who is registered with a GP can access IAPT services on the NHS. If you're not registered with a GP, search for a GP.
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You'll remember me when the west wind moves
Upon the fields of barley
You'll forget the sun in his jealous sky
As we walk in fields of gold
So she took her love
For to gaze awhile
Upon the fields of barley
In his arms she fell as her hair came down
Among the fields of gold
Will you stay with me, will you be my love
Among the fields of barley
We'll forget the sun in his jealous sky
As we lie in fields of gold


Raw Data
Introduction
digi.me prides itself in normalising data from a huge array of sources into common ontologies, however, sometimes you may encounter data within a user’s digi.me that is unmapped, in other words, raw data. In the digi.me client, this will be rendered as a raw ‘data drop’. If we can deserialise this to JSON, we will show the raw JSON tree, otherwise there will be no facility to preview the data, it will only be available over the Private Sharing service - this is for security reasons.
Pulling Raw Data
The facility to pull raw data is, much like any data type, bound by one’s contract. Please contact support to discuss having the raw data entitlement added to your contract.
Mime Types:
When pulling raw data from the Private Sharing platform, any DMEFile
containing raw data should be handled appropriately for that data.
For example, DMEFile
has a mimeType
property. This will be one case of the DMEMimeType
enum (see DMEMimeType.kt).
Most instances of raw data will have the APPLICATION_JSON
mime type, symbolising JSON data which didn’t fit within existing digi.me ontology. In this case, you can invoke fileContentAsJSON
just as you would for mapped data.
For any other mime type, fileContentAsJSON
will throw an exception. In such cases, it should not be used and you should instead access the ByteArray
file content directly with the fileContent
property and handle it how you see fit for your use case.
Pushing Raw Data
If you push data to a Postbox that isn’t pre-mapped to our Ontology, it will be treated as raw data and pushed into a user’s digi.me as such. The metadata supplied with the push will be used to deduce the data’s mime type going forward (IE the mime type the file has when pulled back down).
Please see the Postbox Documentation for more information on pushing data into digi.me.


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NEW JERSEY DRIVE A film review by James Berardinelli Copyright 1995 James Berardinelli
RATING (0 TO 10): 6.6
U.S. Availability: wide release 4/19/95 Running Length: 1:37 MPAA Classification: R (Profanity, violence)
Starring: Sharron Corley, Gabriel Casseus, Saul Stein, Gwen McGee Director: Nick Gomez Producers: Larry Meistrich and Bob Gosse Screenplay: Nick Gomez based on a story by Nick Gomez and Michel Marriott Cinematography: Adam Kimmel Music: Wendy Blackstone Released by Gramercy Pictures
At first glance, one might place NEW JERSEY DRIVE alongside the likes of BOYZ 'N THE HOOD, SOUTH CENTRAL, and MENACE II SOCIETY. Each of these film is, after all, about the struggle of today's black youth to escape the endless cycle of inner city violence. However, similarities end at the basic theme. Writer/director Nick Gomez takes a route that sacrifices narrative for perspective. Ultimately, his characters become secondary to an exploration of the principles and attitudes of those who live each day believing "it's open season on the black man."
Although the film is set in Newark, New Jersey (the "car theft capital of the world"), it could take place in virtually any major American city. Location is less important than viewpoint, and the issues with which the characters cope can be found all across the country. To Jason (Sharron Corley) and Midget (Gabriel Casseus), stealing a car is, at worst, a minor infraction. They take a new vehicle every night, go for a joyride, then drop it off. Occasionally, when they really need money, they visit a chop shop. The police, led by a sadistic bigot named Roscoe (Saul Stein) are always close, hounding the two whether they've done something or not. On those occasions when they actually catch their quarry, the cops are as likely to beat them and leave them on the street as to drag them off to jail.
The strengths of BOYZ 'N THE HOOD were characters and plot. In that film, writer/director John Singleton fashioned a shocking story centered around a believable group of young black men. Here, although Nick Gomez is working with two teenage protagonists that would seemingly fit in with the HOOD crowd, he doesn't display any particular skill for creating multi-dimensional personalities, and the storyline is pedestrian. What NEW JERSEY DRIVE does well, however, is present a perspective.
By the end of the film, you may not sympathize with Jason, but you will understand him. All that happens in NEW JERSEY DRIVE is skewed to give a participant's view of life on the streets. Every cop is portrayed as a racist. This may not reflect an impartial "truth", but it emphasizes Jason and Midget's take on reality. The cops are the enemy, and these two can't afford to see anything other than the negatives about Roscoe and his co-workers. Looking through the eyes of the protagonists, neither can we.
Though it follows the exploits of petty criminals and bent cops, NEW JERSEY DRIVE never loses its moral perspective. Jason's mother (Gwen McGee) wants her son to stay in school so he eventually can free himself from the inner city. And when Jason sees his sister running with a "bad" crowd, he risks his safety to get her away from them, recognizing from his own experience the dangers inherent in such an association.
Cinematographer Adam Kimmel's camera work maintains an intimate outlook, adding to the sense of "being there." There are times when this movie feels more like a documentary than a work of fiction--and therein lies its strength. For, while the story of NEW JERSEY DRIVE lacks originality, the manner in which it is presented offers a fresh, and sometimes jarring, point of view.
- James Berardinelli<EMAIL_ADDRESS>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


Allows you to download repositories from your GitHub user or organization account to review, backup, and migrate data to GitHub Enterprise Server.
Custom media type: wyandotte-preview Announced: 2018-05-24
wyandotte-preview


Before Change
:param string tool_path: Path to tool, relative to the Android SDK root, e.g
"platforms/android-19/android.jar".
try:
android_tool = os.path.join(self._sdk_path, tool_path)
except:
raise AndroidDistribution.Error("Failed to locate Android SDK. Please install SDK and "
"set ANDROID_HOME in your path")
self._register_file(android_tool)
return android_tool
def _register_file(self, tool):
After Change
if tool_path not in self._validated_tools:
android_tool = os.path.join(self._sdk_path, tool_path)
if os.path.isfile(android_tool):
// Use entire relative path as a key since the SDK usually has multiple copies of each tool.
self._validated_tools[tool_path] = android_tool
else:
raise self.DistributionError("There is no {} installed. The Android SDK may need to be "
"updated.".format(android_tool))
return self._validated_tools[tool_path]
def __repr__(self):
return "AndroidDistribution({})".format(self._sdk_path)


How to create an instance that pulls your website content automatically
Category: sysadmin
Amazon Web Services allows you to spin up instances very quickly. This how to will show you how to upload your content to a S3 bucket and then launch an instance that pulls that content in and starts Apache to serve that content.
Initially, you will need to create a role under IAM. This will have to be able to access S3, so create the role, choose which service you would like to associate it with.
Then create an S3 bucket and upload all the files that your website requires.
Provide permissions for your role. Searching for S3 will limit the amount of permissions you can see - you can permit read only or Full Access depending on what your EC2 instance will be doing. Review by giving the role a name and a description.
Then, launch an EC2 instance with this role.
Allocate the IAM role to the EC2 instance
On the same page as the role selection, you will see advanced details at the bottom. You need to type in the script in the user data. This is a script that will run on launch:
#!/bin/bash
yum update -y
yum install httpd -y
service httpd start
chkconfig httpd on
aws s3 cp s3://your-bucket-name/ /var/www/html --recursive
This will run once it has started the EC2 instance. It will update the machine to ensure that all packages are at the latest release, then install Apache, then start Apache, then ensure that apache starts by default if this instance is restarted for some reason, and then the files are pulled down from the S3 bucket and put in to /var/www/html
. You will need to have created a bucket and put the files in there that you require.


About Me
Hello! My name is Majid Jamaleldine. I’ve travelled to 27 countries so far and enjoy spending time with my family members living all around the world. I am a graduate from the University of Minnesota - Twin Cities with a Master's degree in Medical Device Innovation and a BS degree in Biology. My academic focus is centered deep within the sciences but I've always had a passion for the arts.
I am currently a partner at Line Break Media, LLC. in Minneapolis, Minnesota and have spent the past year building out the motion graphics capabilities of the company. In March 2018 I will be transitioning to a full time focus on my full stack development academics.
Thanks for checking out my page!


Internal component for basicsb photodiode. Arbitrates access to the photo diode and automatically turns it on or off based on user requests.


Luh Kel Says Justin Bieber Is The 'King Of R&B'
by Dayna HaffendenHollywood, CA – Luh Kel has shared his two cents on who rightfully deserves the “King of R&B” title. During a conversation with HipHopDX, the 17-year-old singer said Justin Bieber‘s talent is unmatched.
Initially, Kel shot down claims there even is a “King of R&B.” The Tennessee native stated he shouldn’t look at others in that light while he’s working towards the title.
“No king, especially not for me,” he began. “If I do music and I do R&B, why would I call somebody else a king? You know what I’m saying? I’m trying to be a king.”
But later on, Kel backpedaled on his previous statement when he shared his thoughts on Bieber. The “Wrong” singer is hopeful he will have the chance to collaborate with Bieber, who he gave the crown.
“I would love to make a song with Justin Bieber,” Kel noted. “He legendary to me. Matter of fact, he the king. The throne, I’m handing it [to him]. You got it, Bieber.”
Last week, Kel dropped his debut project Mixed Emotions. The 12-track effort features guest appearances from PnB Rock, Jay Gwuapo and IV Jay.
Check out the entire interview clip above.


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Iterative subspace projection methods are used for solving large sparse linear systems (i.e. Ax = b). We implement the Steepest Descent (SD), Conjugate Gradient (CG), Minimal Residual (RM) and Restarted GMRES algorithms to study the convergence behaviors of these methods for the matrices bcsstk15, mahindas, nos3 and west0479 from The University of Florida Sparse Matrix Collection. The matrices are shown below.
The investigated parameters in this report will be the residuals and the eigenvalues.
In this section, functions for each of the methods were written using MATLAB. A pseudo code implementation will be presented in the main report and the code will be provided in the appendix. These will be verified using the built in methods (i.e. gmres, cg). Then the implementations will be run on the test matrices.
The Steepest Descent (SD) method solves Ax = b for symmetric positive definite (SPD) matrices. The algorithm is presented in Subspace projection methods for LS Lecture on slide 16. [1]
%% Steepest Descent (SD) Method
clc
close all
clear all
run('load_test_matrices.m');
mats = ["bcsstk15", "mahindas", "nos3", "west0479"];
maxiter = 100; tol = eps;
figure; set(gca,'yscale', 'log'); hold on;
for i = 1:length(mats)
A = eval(mats(i));
n = size(A, 1);
b = randi(100, n, 1);
actual_sol = A\b;
xk = ones(n, 1);
[xk, norm_rks] = sd(A, b, xk, maxiter, tol);
iters = linspace(0, size(norm_rks, 2), size(norm_rks, 2));
plot(iters, norm_rks);
end
title('Steepest Descent (SD) Method Residuals Comparison for Test Matrices');
legend(mats);
xlabel('Iteration');
ylabel('Residual');
xlim([0, maxiter]);
function [xk, norm_rks] = sd(A, b, x0, maxiter, tol)
iter = 0; xk = x0; x_prev = inf; norm_rks = [];
while (norm(x_prev - xk) >= tol) & (iter <= maxiter)
iter = iter + 1;
rk = b - A*xk;
norm_rks = [norm_rks, norm(rk)/(norm(A, 1)*norm(xk) + norm(b))];
ak = rk'*rk/(rk'*A*rk);
xprev = xk;
xk = xk + ak*rk;
end
end
A is SPD only when $r_k > 0$. When $r_k = 0$, the algorithm has converged. Therefore, the stopping criterion is when $r_k \leq \epsilon$, where $\epsilon$ is machine precision, 2.2204e-16.
The Conjugate Gradient (CG) method solves Ax = b for SPD A. Theoretically, it yields an exact solution in n steps. The algorithm from Linear Algebra and Learning from Data by Gilbert Strang is shown below. [2]
%% Conjugate Gradient (CG) Method
clc
close all
clear all
run('load_test_matrices.m');
A = bcsstk15;
n = size(A, 1);
b = randi(10, n, 1);
x0 = b/norm(b);
run('load_test_matrices.m');
mats = ["bcsstk15", "mahindas", "nos3", "west0479"];
maxiter = 100; tol = eps;
figure; set(gca,'yscale', 'log'); hold on;
for i = 1:length(mats)
A = eval(mats(i));
n = size(A, 1);
b = randi(100, n, 1);
actual_sol = A\b;
x0 = b/norm(b);
[x, norm_rks] = conjgrad(A, b, x0, maxiter);
iters = linspace(0, size(norm_rks, 2), size(norm_rks, 2));
plot(iters, norm_rks);
end
title('Conjugate Gradient (CG) Method Residuals Comparison for Test Matrices');
legend(mats);
xlabel('Iteration');
ylabel('Residual');
xlim([0, 100]);
hold off;
function [x, norm_rks] = conjgrad(A, b, x, maxiter)
r = b - A*x;
d = r;
r2_prev = r'*r;
norm_rks = [r2_prev];
for i = 1:maxiter
Ad = A*d;
alpha = r2_prev/(d'*Ad);
r = r - alpha*Ad;
x = x + alpha*d;
norm_rks = [norm_rks, norm(r)/(norm(A, 1)*norm(x) + norm(b))];
r2 = r' * r;
if r2 < 1e-10
break;
end
beta = r2/r2_prev;
d = r + beta*d;
r2_prev = r2;
end
end
The conjugate method minimizes the error $||x - x_k||_S$ over the kth Krylov subspace, where $x_k$ is the orthogonalized subspace $K_m$. The stopping criterion is when $r_k \leq \epsilon$, where $\epsilon$ is machine precision, 2.2204e-16.
The Minimal Residual (MR) Iteration Method solves Ax = b for a nonsymmetric and nonsingular matrix A. This is similar to the SD method. But in this case, $\alpha_k = \frac{r_k^T A^T r_k}{r_k^T A^T A r_k}$. he algorithm is presented in Subspace projection methods for LS Lecture on slide 21. [1]
%% Minimal Residual (MR) Method
clc
close all
clear all
run('load_test_matrices.m');
mats = ["bcsstk15", "mahindas", "nos3", "west0479"];
maxiter = 100; tol = eps;
figure; set(gca,'yscale', 'log'); hold on;
for i = 1:length(mats)
A = eval(mats(i));
n = size(A, 1);
b = randi(100, n, 1);
actual_sol = A\b;
xk = ones(n, 1);
[xk, norm_rks] = mr(A, b, xk, maxiter, tol);
iters = linspace(0, size(norm_rks, 2), size(norm_rks, 2));
plot(iters, norm_rks);
end
title('Minimal Residuals (MR) Method Comparison for Test Matrices');
legend(mats);
xlabel('Iteration');
ylabel('Residual');
xlim([0, maxiter]);
hold off;
function [xk, norm_rks] = mr(A, b, x0, maxiter, tol)
iter = 0; xk = x0; x_prev = inf; norm_rks = [];
while (norm(x_prev - xk) >= tol) & (iter <= maxiter)
iter = iter + 1;
rk = b - A*xk;
norm_rks = [norm_rks, norm(rk)/(norm(A, 1)*norm(xk) + norm(b))];
ak = rk'*(A')*rk/(rk'*(A')*A*rk);
xprev = xk;
xk = xk + ak*rk;
end
end
Each iteration minimizes $f(x)\equiv ||r||^2_2 = ||{b - Ax}||^2_2$. The stopping criterion is when $r_k \leq \epsilon$, where $\epsilon$ is machine precision, 2.2204e-16.
The Restarted GMRES (GMRES(k)) uses Krylov subspaces as pair of projection subspaces. It is a generalization of the one-dimensional MR iteration. The Krylov subspaces are generated and orthogonalized using the Arnoldi Iteration. This can be represented by the equations
where A has dimensions $n\times n$, $V_m$ has dimensions $n\times m$, $V_{m+1}$ has dimensions $n\times (m+1)$, the Hessenberg $H_m$ has dimensions $m\times m$, $\hat{H}m$ has dimensions $(m+1)\times m$, $h{m+1,m}$ is a scalar, $v_{m+1}$ is a columns vector of dimensions $(m+1)\times 1$ and $e_m$ is a unit vector of size $m \times 1$.
The Arnoldi algorithm is presented in Subspace projection methods for LS Lecture on slide 25.[1]
$v_1 = \frac{v}{||v||}$ for$\;j = 1,2,…,m$ $w = Av_j$ for $\;i = 1,2,…,j$ $h_{ij} = v_i^T w$ $w = w - h_{ij}v_i$ end $h_{j+1,j} = ||w||2$ $if\;h{j+1,j} = 0, stop$ $v_{j+1} = \frac{1}{h_{j+1,j}}$
$H_k = Q^T_k A Q_k$ is the projection of A onto the Krylov space using the columns of $Q$. [2] A version for re-orthogonalization was implemented.
The GMRES algorithm is presented in Subspace projection methods for LS Lecture on slide 19.[1]
%% Restarted GMRES Method
clc
close all
clear all
run('load_test_matrices.m');
mats = ["bcsstk15", "mahindas", "nos3", "west0479"];
maxiter = 100; tol = eps;
figure; set(gca,'yscale', 'log'); hold on;
for i = 1:length(mats)
A = eval(mats(i));
n = size(A, 1);
b = randi(100, n, 1);
actual_sol = A\b;
xk = ones(n, 1);
[xk, norm_rks] = gm(A, b, xk, maxiter);
iters = linspace(0, size(norm_rks, 2), size(norm_rks, 2));
plot(iters, norm_rks);
end
title('Restarted GMRES Method Comparison for Test Matrices');
legend(mats);
xlabel('Iteration');
ylabel('Residual');
xlim([0, maxiter]);
function [xk, norm_rks] = gm(A, b, xk, maxiter)
norm_rks = [];
n = maxiter;
for i = 1:100
[Q, H] = arnoldi(A, xk, maxiter);
be1 = zeros(n+1, 1); be1(1) = norm(b);
y = H\be1;
xk = xk + Q(:, 1:end-1)*y;
norm_rks = [norm_rks, norm(H*y - be1)/norm(b)];
end
end
function [Q, H] = arnoldi(A, v, m)
n = size(A, 1);
H = zeros(m+1, m);
Q = zeros(n, m+1);
Q(:, 1) = v/norm(v);
for k = 1:m
v = A*Q(:, k);
for j = 1:k
H(j, k) = Q(:, j)'*v;
v = v - H(j, k)*Q(:, j);
end
H(k+1, k) = norm(v);
Q(:, k+1) = v/H(k+1, k);
end
end
The least squares problem provides a solution. The Arnoldi procedure breaks down when $h_{j+1,j} = 0$ at some step j and this is when $x_j$ is the exact solution of the linear system Ax = b.
The residuals for the Steepest Descent, Minimal Residuals and Conjugate Gradient methods were computed using the formula
The residuals for the Conjugate Gradient methods were computed using the formula
In this part, the Arnoldi method with and without reorthogonalization are used to to compute eigenpairs of large sparse matrix A (west0479) for different iterations. This was compared to the “exact” eigenvalues computed using the eig function in MATLAB. The real and imaginary values are plotted and discussed.
The Arnoldi (with Reorthogonalization) code is modified so that he reorthogonalization is not done. The correctness of the code is verified using The orthogonality is evaluated using the residual
A method to attain eigenvalues is to use the eigenvalues of the Hessenberg matrix $H_j$. These are computed using the eig command. The Ritz values and the exact eigenvalues together. In theory, the outlying eigenvalues are good approximations for the Ritz values.
The shift and invert spectral transform are used to find the eigenvalues closest to a target. Instead of multiplying the initial vector by A, the vector is multiplied by $(A - \tau I)^{-1}$, where $\tau$ is the target. This is similar to the power method with shift and inversion. The eigenvalues problem now becomes
The eigenvalue ($\lambda_j$) closest to $\tau$ of the shifted and inverted problem $\sigma = \frac{1}{\lambda_j - \tau}$ is now dominant and thus leads to a smaller residual. The residuals can be proved to be [3]
From this form, we see that the residual ($r_j$) is bounded by zero if $\lambda$ is a good estimate for $\tau$.
From the plot, we see that only the bcsstk15 and the nos3 display convergent behavior. This is expected because mahindas and west0479 are non SPD matrices.
Similar to the Steepest Descent method, from the plot, we see that only the bcsstk15 and the nos3 display convergent behavior. This is expected because mahindas and west0479 are non SPD matrices.
From the plot, we see that only bcsstk15, nos3 and west0479 are converging. mahindas is not because it is non invertible. This can be seen by taking the determinant of mahindas, which is computed to be -1.0008e-20.
From the plot, we see that only nos3, mahindas and west0479 are converging. Interestingly, bcsstk15 does not appear to converge quickly.
To check my correctness of the Reorthogonalized Arnoldi Algorithm, was computed for 30 iterations to be 2.6297e-12. Similarly, for the Arnoldi without reorthogonalization, was computed to be 2.2025e-12. Both of these are approximately zero, despite being 4 orders of magnitude smaller than machine precision.
The orthogonality was evaluated using the residual . At 30 iterations, these were computed to be 1.1814e-15 for the Reorthogonalized Arnoldi Algorithm and 4.3886e-13 for the Non-Reorthogonalized Algorithm. Also, at 60 iterations, the Non-Reorthogonalized Algorithm residual the residual was 8.9316e-12. From these results, it is evident that $V_{j+1}$ loses orthogonality. Therefore, in practice, it is a good idea to implement the reorthogonalization. Furthermore, the residuals were computed to be 2.2025e-12 and 7.0673e-11 for 30 and 60 iterations.
The Ritz values were computed using the eig command and compared to the exact eigenvalues.
From the figures above, the eigenvalues are approximated well by the Ritz values. However, the number of iterations does not improve the eigenvalue approximations. The norm of the difference between the Reorthogonalized and the Non-Reorthogonalized eigenvalues were computed to be 528.5324 and 275.3189 for both algorithms. The shift-inversion spectral transformation converges to the dominant eigenvalue. The implementation was unsuccessful and did not yield good results.
I would like to thank Professor Zhaojun Bai who provided me with a wealth of knowledge about NUmerical Linear Algebra techniques to undertake investigation.
[1] Bai, Zhaojun. “Subspace Projection Methods for LS.” ECS231 Slides, web.cs.ucdavis.edu/ bai/ECS231/Slides/ls.pdf.
[2] Strang, Gilbert. Linear Algebra and Learning from Data. Wellesley-Cambridge Press, 2019.
[3] Jia, Zhongxiao, and Yong Zhang. “A Refined Shift-and-Invert Arnoldi Algorithm for Large Unsymmetric Generalized Eigenproblems.” Computers & Mathematics with Applications, vol. 44, no. 8-9, 2002, pp. 1117–1127., doi:10.1016/s0898-1221(02)00220-1.


Welcome to the Great Number Game
I'm thinking of a number between 1 and 100. See if you can guess:
{% if session['response'] %}{{session['response']}}
{% endif %}I'm thinking of a number between 1 and 100. See if you can guess:
{% if session['response'] %}{{session['response']}}
{% endif %}


L E G E N D
|
The Basic Model
|
||
Describing Support for
|
Describing Support for Various Relational Database-based
|
Describing Support for a Raster Grid with
|
|
Describing Permissions
|


Calculation of Reynolds Number
Re = |v|ρD/μ
a measure of the relationship between inertial forces (vρ) and viscous forces (D/μ).
The following table gives examples for the characteristic dimension D and the velocity v for different fluid flow devices:
| Device Type | Characteristic Dimension D | Velocity v |
|---|---|---|
| Circular Pipe | diameter | m_flow/ρ/crossArea |
| Rectangular Duct | 4*crossArea/perimeter | m_flow/ρ/crossArea |
| Wide Duct | distance between narrow, parallel walls | m_flow/ρ/crossArea |
| Packed Bed | diameterOfSpericalParticles/(1-fluidFractionOfTotalVolume) | m_flow/ρ/crossArea (without particles) |
| Device with rotating agitator | diameterOfRotor | RotationalSpeed*diameterOfRotor |
function ReynoldsNumber extends Modelica.Icons.Function; input SI.Velocity v "Mean velocity of fluid flow"; input SI.Density rho "Fluid density"; input SI.DynamicViscosity mu "Dynamic (absolute) viscosity"; input SI.Length D "Characteristic dimension (hydraulic diameter of pipes)"; output SI.ReynoldsNumber Re "Reynolds number"; end ReynoldsNumber;


Before Change
streams, hdr = tv.read(fname)
streamlines = [i[0] for i in streams]
Perform QuickBundles clustering using the MDF metric and a 10mm distance
threshold. Keep in mind that since the MDF metric requires streamlines to have
the same number of points, the clustering algorithm will internally use a
representation of streamlines that have been automatically downsampled/upsampled
so they have only 12 points (To set manually the number of points,
see :ref:`clustering-examples-ResampleFeature`).
qb = QuickBundles(threshold=10.)
clusters = qb.cluster(streamlines)
`clusters` is a `ClusterMap` object which contains attributes that
provide information about the clustering result.
print("Nb. clusters:", len(clusters))
print("Cluster sizes:", map(len, clusters))
print("Small clusters:", clusters < 10)
print("Streamlines indices of the first cluster:\n", clusters[0].indices)
print("Centroid of the last cluster:\n", clusters[-1].centroid)
::
Nb. clusters: 4
Cluster sizes: [64, 191, 47, 1]
Small clusters: array([False, False, False, True], dtype=bool)
Streamlines indices of the first cluster:
[0, 7, 8, 10, 11, 12, 13, 14, 15, 18, 26, 30, 33, 35, 41, 65, 66, 85, 100,
101, 105, 115, 116, 119, 122, 123, 124, 125, 126, 128, 129, 135, 139, 142,
143, 144, 148, 151, 159, 167, 175, 180, 181, 185, 200, 208, 210, 224, 237,
246, 249, 251, 256, 267, 270, 280, 284, 293, 296, 297, 299]
Centroid of the last cluster:
array([[ 84.83773804,<PHONE_NUMBER>2, 77.32278442],
[ 86.10850525,<PHONE_NUMBER>3, 81.91885376],
[ 86.40357208,<PHONE_NUMBER>7, 85.72930145],
[ 86.48336792,<PHONE_NUMBER>1, 88.13782501],
[ 86.23897552,<PHONE_NUMBER> , 89.29447174],
[ 85.04563904, 97.46020508, 88.54240417],
[ 82.60240173, 93.14851379, 86.84208679],
[ 78.98937225, 89.57682037, 85.63652039],
[ 74.72344208, 86.60827637, 84.9391861 ],
[ 70.40846252, 85.15874481, 82.4484024 ],
[ 66.74534607, 86.00262451, 78.82582092],
[ 64.02451324, 88.43942261, 75.0697403 ]], dtype=float32)
`clusters` has also attributes like `centroids` (cluster representatives), and
methods like `add`, `remove`, and `clear` to modify the clustering result.
Lets first show the initial dataset.
// Enables/disables interactive visualization
interactive = False
ren = window.Renderer()
ren.SetBackground(1, 1, 1)
ren.add(actor.streamtube(streamlines, window.colors.white))
window.record(ren, out_path="fornix_initial.png", size=(600, 600))
if interactive:
window.show(ren)
.. figure:: fornix_initial.png
:align: center
Initial Fornix dataset.
Show the centroids of the fornix after clustering (with random colors):
colormap = actor.create_colormap(np.arange(len(clusters)))
window.clear(ren)
ren.SetBackground(1, 1, 1)
ren.add(actor.streamtube(streamlines, window.colors.white, opacity=0.05))
ren.add(actor.streamtube(clusters.centroids, colormap, linewidth=0.4))
window.record(ren, out_path="fornix_centroids.png", size=(600, 600))
if interactive:
window.show(ren)
.. figure:: fornix_centroids.png
:align: center
Showing the different QuickBundles centroids with random colors.
Show the labeled fornix (colors from centroids).
colormap_full = np.ones((len(streamlines), 3))
for cluster, color in zip(clusters, colormap):
colormap_full[cluster.indices] = color
window.clear(ren)
ren.SetBackground(1, 1, 1)
After Change
Load fornix streamlines.
fornix = load_tractogram(fname, "same",
bbox_valid_check=False).streamlines
streamlines = Streamlines(fornix)
Perform QuickBundles clustering using the MDF metric and a 10mm distance
threshold. Keep in mind that since the MDF metric requires streamlines to have
the same number of points, the clustering algorithm will internally use a
representation of streamlines that have been automatically downsampled/upsampled
so they have only 12 points (To set manually the number of points,
see :ref:`clustering-examples-ResampleFeature`).
qb = QuickBundles(threshold=10.)
clusters = qb.cluster(streamlines)
`clusters` is a `ClusterMap` object which contains attributes that
provide information about the clustering result.
print("Nb. clusters:", len(clusters))
print("Cluster sizes:", map(len, clusters))
print("Small clusters:", clusters < 10)
print("Streamlines indices of the first cluster:\n", clusters[0].indices)
print("Centroid of the last cluster:\n", clusters[-1].centroid)
::
Nb. clusters: 4
Cluster sizes: [64, 191, 47, 1]
Small clusters: array([False, False, False, True], dtype=bool)
Streamlines indices of the first cluster:
[0, 7, 8, 10, 11, 12, 13, 14, 15, 18, 26, 30, 33, 35, 41, 65, 66, 85, 100,
101, 105, 115, 116, 119, 122, 123, 124, 125, 126, 128, 129, 135, 139, 142,
143, 144, 148, 151, 159, 167, 175, 180, 181, 185, 200, 208, 210, 224, 237,
246, 249, 251, 256, 267, 270, 280, 284, 293, 296, 297, 299]
Centroid of the last cluster:
array([[ 84.83773804,<PHONE_NUMBER>2, 77.32278442],
[ 86.10850525,<PHONE_NUMBER>3, 81.91885376],
[ 86.40357208,<PHONE_NUMBER>7, 85.72930145],
[ 86.48336792,<PHONE_NUMBER>1, 88.13782501],
[ 86.23897552,<PHONE_NUMBER> , 89.29447174],
[ 85.04563904, 97.46020508, 88.54240417],
[ 82.60240173, 93.14851379, 86.84208679],
[ 78.98937225, 89.57682037, 85.63652039],
[ 74.72344208, 86.60827637, 84.9391861 ],
[ 70.40846252, 85.15874481, 82.4484024 ],
[ 66.74534607, 86.00262451, 78.82582092],
[ 64.02451324, 88.43942261, 75.0697403 ]], dtype=float32)
`clusters` has also attributes like `centroids` (cluster representatives), and
methods like `add`, `remove`, and `clear` to modify the clustering result.
Lets first show the initial dataset.
// Enables/disables interactive visualization
interactive = False
ren = window.Renderer()
ren.SetBackground(1, 1, 1)
ren.add(actor.streamtube(streamlines, window.colors.white))
window.record(ren, out_path="fornix_initial.png", size=(600, 600))
if interactive:
window.show(ren)
.. figure:: fornix_initial.png
:align: center
Initial Fornix dataset.
Show the centroids of the fornix after clustering (with random colors):
colormap = actor.create_colormap(np.arange(len(clusters)))
window.clear(ren)
ren.SetBackground(1, 1, 1)
ren.add(actor.streamtube(streamlines, window.colors.white, opacity=0.05))
ren.add(actor.streamtube(clusters.centroids, colormap, linewidth=0.4))
window.record(ren, out_path="fornix_centroids.png", size=(600, 600))
if interactive:
window.show(ren)
.. figure:: fornix_centroids.png
:align: center
Showing the different QuickBundles centroids with random colors.
Show the labeled fornix (colors from centroids).
colormap_full = np.ones((len(streamlines), 3))
for cluster, color in zip(clusters, colormap):
colormap_full[cluster.indices] = color
window.clear(ren)
ren.SetBackground(1, 1, 1)


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Biofilm Enhancement
We have devised a method to introduce a DNA sequence which encodes an RNA aptamer (i.e. - an oligonucleotide sequence which binds to a specific molecule) into a non-pathogenic E. coli strain. The project has also inspired our collaboration with the Rathneau Institute and SYNENERGENE as we look at the feasibility of developing ribosponge into a product, and examine the regulatory, legal, and ethical challenges of packing it into a bacteriophage.
Synthetic Antibodies
The goal of this project is to engineer proteins for the detection of membrane bound cancer biomarkers. These detection proteins, or synthetic antibodies, will be cheap, easy to produce, and modular.
We have devised a method to introduce a DNA sequence which encodes an RNA aptamer (i.e. - an oligonucleotide sequence which binds to a specific molecule) into a non-pathogenic E. coli strain. We have dubbed this RNA aptamer a “ribosponge” due to its unique mode of action. The ribosponge binds cyclic di-GMP, a secondary intracellular messenger which signals bacteria to enter a persistent or biofilm state. The signal is universal among many species such as E. coli, P. aeruginosa, and M. tuberculosis. Blocking the signal of c-di-GMP by binding it with an aptamer could prevent the persistent state in these and other pathogens. The project has also inspired our collaboration with the Rathneau Institute and SYNENERGENE as we look at the feasibility of developing ribosponge into a product, and examine the regulatory, legal, and ethical challenges of packing it into a bacteriophage.
The goal of this project is to create an alternative detection molecule, a synthetic antibody, which can be produced more quickly, at a lower cost, using much simpler and more accessible methods. The product of our research will be a plasmid, a synthetic DNA molecule, that will cause bacteria to express our synthetic antibodies. The plasmid will allow researchers to “plug-and-play” different detection regions onto the constant region of an antibody. We will also validate this approach by demonstrating the efficacy of our synthetic antibodies in a proof-of-concept experiment, in which our synthetic antibody will be used to detect proteins on the surface of a cell.
The creation of synthetic antibodies in bacteria will allow researchers to circumvent the expensive, time consuming, and arduous process of monoclonal antibody production. The highly modular “plug-and-play” aspect of our template plasmid will make this tool simple to use and highly versatile, while the use of the constant region of a monoclonal antibody as the detection method will make this technology particularly powerful, as there already exists a large amount of chemistry, and protocols associated with different uses of the conserved domain. Thus, synthetic antibodies will provide yet another versatile tool for creating detection assays, diagnostics, and potentially even therapeutics for diseases such as cancers and autoimmune diseases.


1) Install Python 3.6 or newer. Download Python here:
https://www.python.org/
2) Make sure you have git installed.
https://git-scm.com/
3) Open Command Prompt/terminal and paste the commands below. This will download and install the dependencies you need.
pip install git+https://github.com/pokepetter/ursina.git
4) Open your preferred text editor. If you're new to programming, here are some suggestions:
* Atom
* Visual Studio Code
* Sublime Text
5) Create a new file called main.py. This will contain out little game.
Because it ends with '.py' you should get some syntax highlighting
6) At the top of the file, write:
from ursina import *
This will import all the necessary things we need from the engine in one line.
It means something like 'from ursina import all'. It's also possible to import parts of the engine
like this:
from ursina.prefabs import Button
Or import something that's not included by default:
from ursina.prefabs.first_person_controller import FirstPersonController
7) Here's a really basic example game with comments to explain what were doing.
We will simply make a orange box move right and left when we press 'd' or 'a'.
from ursina import *
# create a window
app = Ursina()
# most things in ursina are Entities. An Entity is a thing you place in the world.
# you can think of them as GameObjects in Unity or Actors in Unreal.
# the first paramenter tells us the Entity's model will be a 3d-model called 'cube'.
# ursina includes some basic models like 'cube', 'sphere' and 'quad'.
# the next parameter tells us the model's color should be orange.
# 'scale_y=2' tells us how big the entity should be in the vertical axis, how tall it should be.
# in ursina, positive x is right, positive y is up, and positive z is forward.
player = Entity(model='cube', color=color.orange, scale_y=2)
# create a function called 'update'.
# this will automatically get called by the engine every frame.
def update():
player.x += held_keys['d'] * time.dt
player.x -= held_keys['a'] * time.dt
# this part will make the player move left or right based on our input.
# to check which keys are held down, we can check the held_keys dictionary.
# 0 means not pressed and 1 means pressed.
# time.dt is simply the time since the last frame. by multiplying with this, the
# player will move at the same speed regardless of how fast the game runs.
def input(key):
if key == 'space':
player.y += 1
invoke(setattr, player, 'y', player.y-1, delay=.25)
# start running the game
app.run()
8) Now we have to tell Python to run the script. To do this, open the command line and
go to the current folder. An easy way to do this is to type 'cmd' in the address bar.
Run the command below.
python main.py
An alternative is to install the 'atom-python-run' package in Atom so you can start
the game by pressing F5.


0:00:00
0:00:00
To play the episode you will need to either update your browser to a recent version or update your
Flash plugin
.


Directions
Having avocado in the brownies creates a very fudgy consistancy. It also adds a great source of healthy fats!
- Preheat the oven to 350F.
- In a separate bowl, combine the dry ingredients together and whisk together.
- Peel the avocados. Weigh or measure your avocados. Place in a food processor. Process until smooth.
- Add each wet ingredient to the food processor, one at a time, and process for a few seconds until all of the wet ingredients have been added to the food processor.
- Add the dry ingredients to the food processor and mix until combined.
- Place a piece of parchment paper over a 30x20cm (12''x8'') baking dish and pour the batter into it. Spoon evenly and place in the preheated oven. Bake for 30 minutes, or until a toothpick inserted in the middle comes out half clean. The top should be soft when you touch it with your fingers.
- Take out of the oven, let it cool completely.
- Enjoy


| Opcode | Instruction | Op/En | 64-Bit Mode | Compat/Leg Mode | Description |
|---|---|---|---|---|---|
| E4 ib | IN AL, imm8 | I | Valid | Valid | Input byte from imm8 I/O port address into AL. |
| E5 ib | IN AX, imm8 | I | Valid | Valid | Input word from imm8 I/O port address into AX. |
| E5 ib | IN EAX, imm8 | I | Valid | Valid | Input dword from imm8 I/O port address into EAX. |
| EC | IN AL,DX | ZO | Valid | Valid | Input byte from I/O port in DX into AL. |
| ED | IN AX,DX | ZO | Valid | Valid | Input word from I/O port in DX into AX. |
| ED | IN EAX,DX | ZO | Valid | Valid | Input doubleword from I/O port in DX into EAX. |
| Op/En | Operand 1 | Operand 2 | Operand 3 | Operand 4 |
| I | imm8 | NA | NA | NA |
| ZO | NA | NA | NA | NA |
Copies the value from the I/O port specified with the second operand (source operand) to the destination operand (first operand). The source operand can be a byte-immediate or the DX register; the destination operand can be register AL, AX, or EAX, depending on the size of the port being accessed (8, 16, or 32 bits, respectively). Using the DX register as a source operand allows I/O port addresses from 0 to 65,535 to be accessed; using a byte immediate allows I/O port addresses 0 to 255 to be accessed.
When accessing an 8-bit I/O port, the opcode determines the port size; when accessing a 16- and 32-bit I/O port, the operand-size attribute determines the port size. At the machine code level, I/O instructions are shorter when accessing 8-bit I/O ports. Here, the upper eight bits of the port address will be 0.
This instruction is only useful for accessing I/O ports located in the processor’s I/O address space. See Chapter 18, “Input/Output,” in the Intel® 64 and IA-32 Architectures Software Developer’s Manual, Volume 1, for more information on accessing I/O ports in the I/O address space.
This instruction’s operation is the same in non-64-bit modes and 64-bit mode.
IF ((PE = 1) and ((CPL > IOPL) or (VM = 1))) THEN (* Protected mode with CPL > IOPL or virtual-8086 mode *) IF (Any I/O Permission Bit for I/O port being accessed = 1) THEN (* I/O operation is not allowed *) #GP(0); ELSE ( * I/O operation is allowed *) DEST ← SRC; (* Read from selected I/O port *) FI; ELSE (Real Mode or Protected Mode with CPL ≤ IOPL *) DEST ← SRC; (* Read from selected I/O port *) FI;
None
| #GP(0) | If the CPL is greater than (has less privilege) the I/O privilege level (IOPL) and any of the corresponding I/O permission bits in TSS for the I/O port being accessed is 1. |
| #UD | If the LOCK prefix is used. |
| #UD | If the LOCK prefix is used. |
| #GP(0) | If any of the I/O permission bits in the TSS for the I/O port being accessed is 1. |
| #PF(fault-code) | If a page fault occurs. |
| #UD | If the LOCK prefix is used. |
Same exceptions as in protected mode.
| #GP(0) | If the CPL is greater than (has less privilege) the I/O privilege level (IOPL) and any of the corresponding I/O permission bits in TSS for the I/O port being accessed is 1. |
| #UD | If the LOCK prefix is used. |


Generally, the thrust F developed by a translatory electro-magneto-mechanical actuator (similar for the rotational case with torque and angular position) is equal to the change of magnetic co-energy Wm* with armature position x according to
(Ψ flux linkage, i actuator current). In lumped magnetic network models, the above equation simplifies to
where nlinear is the number of flux tube elements with constant relative permeability that change its permeance Gm i with armature position (index i), Vm i the magnetic voltage across each respective flux tube and dGm i/dx the derivative of the respective permeances with respect to armature position. Transition from the general formula based on magnetic co-energy to the latter one is outlined in [KEQ+12] for the reciprocal of the permeance, i.e., for the magnetic reluctance Rm. Note that
with Φi being the magnetic flux through each respective flux tube element.
Flux tube elements with non-linear material characteristics μr(B) in magnetic network models do not restrict the usability of the above equation. However, it is required that these nonlinear flux tube elements do not change its shape with armature motion (e.g., portion of a solenoid plunger where the magnetic flux passes through in axial direction). This limitation is not a strong one, since the permeance of nonlinear, but highly permeable ferromagnetic flux tube elements and its change with armature position compared to that of air gap flux tubes can be neglected in most cases. Because of this constraint, the dimensions of possibly nonlinear flux tube elements in sub-package Shapes.FixedShape are fixed, whereas the dimension in direction of motion of the linear flux tube elements in sub-package Shapes.Force can vary during simulation. For the flux tubes defined in this package with their rather simple shapes, the derivative dGm/dx is given analytically. For more complex shapes and variations of dimensions with armature motion, it must be provided analytically during model development, preferably by extending the partial model Interfaces.PartialForce.
The sub-package Shapes.Leakage contains flux tube shapes typical for leakage flux around prismatic or cylindrical poles. Since the permeance of these flux tubes does not change with armature position, they do not contribute to a reluctance actuator's thrust.


These are the elements outlined in John Gruber’s original design document. All Markdown applications support these elements.
| Element | Markdown Syntax |
|---|---|
| Heading | # H1 |
| Bold | **bold text** |
| Italic | *italicized text* |
| Blockquote | > blockquote |
| Ordered List |
1. First item |
| Unordered List |
- First item
|
| Code | `code` |
| Horizontal Rule | --- |
| Link | [title](https://www.example.com) |
| Image | ![alt text](image.jpg) |
These elements extend the basic syntax by adding additional features. Not all Markdown applications support these elements.
| Element | Markdown Syntax |
|---|---|
| Table |
| Syntax | Description | |
| Fenced Code Block | ``` |
| Footnote |
Here's a sentence with a footnote. [^1] |
| Heading ID | ### My Great Heading {#custom-id} |
| Definition List |
term |
| Strikethrough | ~~The world is flat.~~ |
| Task List |
- [x] Write the press release |


For more info please check the components's official demos & documentation
demos & documentation
The datepicker allows users to enter a date either through text input, or by choosing a date from the calendar. It is made up of several components and directives that work together.


{% extends 'common/backend_template.html' %} {% block content %} {% from "common/macros/_vertical_form.html" import render_field_with_errors %}
Maintain your account information here.


--- layout: post title: Documenting Long Classes in Jupyter Notebook ---
In an earlier post, I described my experiment with using Jupyter Notebook and Jekyll together to write blog posts. This turns out to be very convienent for writing about scientific software, as it allows me to make blog posts that interlace code, figures, mathematics and explanatory prose in a way that hopefully is helpful for my readers. My approach does, however, come with some annoying limitations. For instance, if I want to describe a Python class with several methods and properties, it is difficult to explain each part of that class independently. Though addressing this limitation is currently on the wishlist for the Jupyter Notebook project, the current version doesn't really have a "good" way of dealing with this limitation.
In this post, I'll describe a "bad" way of describing long classes, by using inheritance to break up long definitions. I say that this is "bad" because it creates a needlessly complicated class hierarchy and code that is far from production-quality, but I think it's still a useful technique in that it allows for clearer explanations.
We begin by using print_function
and the future
library to provide better Python 2/3 compatability.
from __future__ import print_function
from future.utils import with_metaclass
Next, to show that the inheritence trick works well for abstract classes, we import from the abc
standard library package.
from abc import ABCMeta, abstractmethod
Getting to the example itself, suppose that you want to define a class with two methods, foo
and bar
. We represent this as an abstract base class (hence abc
) with two abstract methods.
class AbstractBase(with_metaclass(ABCMeta, object)):
@abstractmethod
def foo(self, x):
pass
@abstractmethod
def bar(self, y):
pass
If we now try to describe an example concrete (that is, not abstract) class inheriting from AbstractBase
, we must define both foo
and bar
. If we leave one out, then we get a TypeError
.
class A(AbstractBase):
def foo(self, x):
return x
try:
a = A()
except TypeError as ex:
print(ex)
Thankfully, we can use inheritance to provide the second method (in this case, bar
) after we have defined our example class.
class A(A):
def bar(self, y):
return y ** 2
a = A()
a.bar(2)
What's going on here? In particular, how can A
inherit from itself? Remember that in Python, classes are themselves values that can be manipulated at runtime. Thus, if we define a class B
, we can do things like print that new class out to the console.
class B(object):
pass
print(B)
As with any other Python value, we can ask for the id
of a class. This returns a unique number that identifies that class, even if we assign it to different variables.
print(id(B))
C = B
print(id(C))
Notably, if we define a new class that is also called B
, this "hides" the old definition of B
and gives us a class with a different id
.
class B(object):
pass
print(id(B))
The old class still exists, however, such that we can get to it if we assigned it to a different variable.
print(id(C))
print(C)
Thus, when we make a class that "inherits from itself," it doesn't really do that per se, but rather inherits from the old value of the variable that held that class. We can confirm this by looking at the special attribute __bases__
, which returns a tuple of all base classes of a class.
class D(object):
pass
print(id(D))
class D(D):
pass
print(id(D))
print([id(base_class) for base_class in D.__bases__])
Thus, the "old value" of our class still lives on, as referred to by the __bases__
attribute of our new class. Practically speaking, this is a terrible and confusing thing to do, but it has a very nice effect for our purposes, of letting us progressively add attributes such as methods and properties to a class.
class E(object):
x = 'foo'
class E(E):
y = 'bar'
print(E.x, E.y)
In this way, self-inheritence can provide a useful technique for splitting up long class definitions. That said, it's a bad idea, so please don't use this in "actual" code, and if you do, don't blame me for the confusion that results.
We finish the post by exporting to Jekyll:
!jupyter nbconvert --to html --template jekyll.tpl 2016-10-07-documenting-long-classes-jupyter-notebook


My portfolio website is coming soon.
Please check out my other profiles in the meantime!
linkedin
github


--- title: vertical preview pane in gmail date: 2013-04-18 15:00:17.000000000 +03:00 categories: - tech tags: - gmail - labs - pane - preview status: publish type: post published: true meta: _edit_last: '600927' _wpas_done_14391: '1' _publicize_done_external: a:1:{s:7:"twitter";a:1:{i:13858422;b:1;}} geo_latitude: '37.979180' geo_longitude: '23.716647' geo_accuracy: '4584' geo_address: "Αθήνα, Ελλάς" geo_public: '1' _wpas_skip_14391: '1' author: login: kouk email<EMAIL_ADDRESS>display_name: Konstantinos Koukopoulos first_name: '' last_name: '' excerpt: !ruby/object:Hpricot::Doc options: {} ---
I'm trying out this lab, perhaps late to the party but anyway. I kind of like it, especially the vertical split.
My 2 issues: I use the keyboard shortcuts j,k to view or select the next or previous message respectively. This works fine, although I would prefer that the cursor moved without actually opening the next or previous message. I could use the 'o' keyboard shortcut to actually view the message. The actual problem I have is that when the cursor goes below the end of the viewport the list of messages doesn't scroll. Any one have any idea about a workaround?
(using google chrome)


Subjects of MCA Department
Semester 1 :
- Programming in C
- Discrete Mathematical Structure
- Accounting and Financial Management
- Computer Networks
- Computer Organization
- Soft Skills-I
- Lab - Programming in C
- Lab - Computer Organization
- Lab - Soft Skills-I
- Lab - Web Technology Lab
Semester 2 :
- Object Oriented Programming using C++
- Operating Systems
- Software Engineering
- Data Structures
- Database Management Systems
- Computer Oreinted Numerical Methods
- Lab - Object Oriented Programming using C++
- Lab - Operating Systems(Shell Programming)
- Lab - Data Structures using C++
- Lab - PHP & MySql
Semester 3 :
- Core Java
- Relational Database Management System
- Accounting and Financial Management
- Advance Computer Networks
- Elective-I (Principles of Programming Languages/Soft Computing)
- Web Engineering
- Statistical Methods
- LabI - Core Java
- LabII - Relational Database Management System
- LabIII - ASP.NET
- LabIV - Advance Computer Networks
Semester 4 :
- Advance Java
- Data warehousing and Data mining
- Object Oreinted Analysis & Design
- Elective-II (Operation Research/Natural Language Processing)
- Design Analysis & Algorithm
- Competency Skills
- LabI - Advance Java
- LabII - Data warehousing and Data mining
- LabIII -Design Analysis & Algorithm
- LabIV - Mini Project
Semester 5 :
- Software Testing & Quality Assurance
- Cyber Security
- Enterprise Resource Planning
- Cloud Computing
- Elective-III (Human Computer Interaction/Agile Methodology/Digital Image Processing)
- Lab - I Cyber Security
- Lab - II Android Programming
- Lab - III Python Programming
- Lab - IV Research Methodology


Yamaha launches BS-VI compliant YZF-R15 bike, price starts at Rs 1.45 lakh
by PTIBy: PTI | New Delhi | Published: December 9, 2019 4:36:38 pm
The YZF-R15 Version 3.0 in BS VI follows the introduction of Yamaha BS VI vehicles – FZ FI (149 cc) and FZS FI (149 cc).
India Yamaha Motor (IYM) on Monday launched BS-VI compliant YZF-R15 Version 3.0 motorcycle model with price starting at Rs 1.45 lakh (ex-showroom Delhi).
The 155cc will be available across all company dealerships in India from the third week of December 2019, IYM said in a statement.
The YZF-R15 Version 3.0 in BS VI follows the introduction of Yamaha BS VI vehicles – FZ FI (149 cc) and FZS FI (149 cc) – in November this year, it added.
The new motorcycle has features such as side stand engine cut-off switch, dual horn and radial tubeless tyre at the rear wheel.
The bike to be available in three colour options are priced between Rs 1.45 lakh and Rs 1.47 lakh (ex-showroom Delhi).
Commenting on the launch, Yamaha Motor India group of companies Chairman Motofumi Shitara said, “With Yamaha continuing to perk up track performances with the R series, the new YZF-R15 Version 3.0 with BS VI compliant engine and new features will be able to create optimum excitement in India in its respective category”.
Yamaha strived for optimum cost control for the new BS-VI compliant YZF-R15 version 3.0 and achieved to peg it around 3 per cent higher along with new standard features, he added.
For all the latest Business News, download Indian Express App


JMP is a general statistics package from the SAS Institute that runs on both the Windows and Macintosh platforms. Stat/Transfer reads and writes files that are usable on either platform.
All versions higher than 3 are supported.
Standard extension: jmp
Reading JMP Files
JMP allows (and encourages) variable names of up to 31 characters. These variable names can contain embedded blanks and any other character. They are thus highly likely to be truncated or altered when they are transferred to other statistical packages. Because of this, Stat/Transfer will use the JMP variable name for a variable label if it is greater than eight characters and contains an embedded blank, or if you have checked the option Write new, numeric variable names in the General Options section of the Options dialog box.
By default, the "notes" property for a variable will be used as a variable label if present. If you have additional textual data in the "custom properties" of your variables, you can append this to the variable labels by checking the option Use custom properties as variable labels in the JMP Options section of the Options dialog box.
Reading JMP files with the Command Processor
It is necessary to use a file-type tag to distinguish different versions of JMP files when reading them with the command processor.
Version 4+ files are read by default. That is, if the input is a Version 4+ JMP file that has the standard extension .jmp, no file-type tag is needed. If you want to read a Version 3 JMP file, then the file name must be preceded by the file-type tag jmp3.
Writing JMP Files
Variable labels, when available from the input file, will be written to JMP output files as variable "notes."
You can choose to have Stat/Transfer write value labels to output JMP files by checking the option Write value labels to JMP files in the JMP Options section of the Options dialog box.
Reading JMP files with the Command Processor
Since the same standard extension is used for all versions of JMP files, it is necessary to use a file-type tag to distinguish them when writing JMP files with the command processor.
Version 6 is written by default. That is, if the output is a Version 6 JMP file that has the standard extension .jmp, no file-type tag is needed. If you want to write a Version 3 JMP file, then the file name must be preceded by the file-type tag jmp3. For Version 4 and 6 JMP files, the file name must be preceded by the file-type tag jmp4.
Missing Values
JMP has a missing value for each numeric type. Stat/Transfer recognizes these on reading JMP files and will write them when writing JMP output.
Output Variable Types
The output variable type that results from each target variable type is given in the following table:
|
Target Type |
Output Type |
|
|
float double |
Numeric |
|
|
byte |
Integer1 |
|
|
int |
Integer2 |
|
|
long |
Integer4 |
|
|
string |
Character |
|
|
date |
Date |
|
|
time |
Time |
|
|
date/time |
Date/time |


Coconut water crystal essence infinite blessings dolphin kapha imbalance ganesh Spirit Rock sarong, patchouli short-grain brown rice morphic resonance watsu.
Incense deep cleansing midwifery what quantum theory says tapping embracing and moving towards tapping embracing moving towards lucid dreaming.
As we honor om spiritual guru tantra personal development yogic, djembe indigineous elders flax seed oil. As we honor om spiritual guru tantra personal development yogic.
Spinal awareness cosmic seventh generation maypole, fair trade sustainable third eye biodiesel. Transformative infinite blessings Harbin om lucid dreaming discovering valuable truths.
Prayer talking stick salvia reconnect trust the process karmic oneness, yoni tibetan singing bowl higher cosmic force seventh generation sun salutation.


{% extends 'base.html' %} {% load bootstrap3 %} {% block css %} {% endblock %} {% block content %} Home Medical Information District Program Managers (National Health Mission)


Ontology: ClubMechV02.txt
Comment: Analysis of lines-of-code.
Hum reduces the number of lines-of-code because:
- Class attributes are generally identified in a single line.
- Persistence is automatic.
- Filters are relatively simple.
- Mark-up is much less verbose than HTML.
- User-interface details are hidden in the scribe.
- Scribe performs openID authentication.
-
Comment: Experiment - Club Mech.
Question: Is Hum notation suitable for a typical web application?
Question: Does Hum reduces the lines-of-code for Club Mech views / dialogs?
Use Cases:
Voter identifies self.
Voter enters a proposal.
Voter votes for proposal and can vote for more than one.
Voter votes for proposal in reduced list, but can only vote for one.
The home screen shows club title, purpose, meetings, and members.
Context: " Select an activity" pattern: " Enter * topic."
U: Enter * topic.
U: Propose * topic.
U: Enter * talk.
U: Propose * talk.
S: Please enter a description of the talk you are offering.
Clear topic.
Ask topic.
Context: " Select an activity" pattern: "* scoreboard."
U: * scoreboard.
S: Here is the scoreboard for the current ballot.
Show scoreboard.
Context: " Select an activity" pattern: "Vote *."
U: Vote *.
S: Here is the current ballot.
Ask voter-ballot.
Context: " Start" pattern: " Enter."
U: Enter.
S: Club Mech is a test bed for Hum dialogs.
Context: " Start" pattern: "*."
U: *.

Context: " Start" pattern: "I am a member."
U: I am a member.
S: What is your name?
Context: " Start" pattern: "My name is [user name]."
U: My name is [user name].
U: Authenticated as [user name].
S: Hello [user name].
S: Please select an activity.
Push context" Select an activity.".
Dictionary: People we know. (Should be in base vocabulary.)
Partyattributesincludename, mailing-address, business-phone.
Apersonisaparty.
Personattributesincludeprefix, first-name, middle-initials, last-name, suffix.
Auserisaperson.
Userattributesincludee-mail-address, portrait.
Dictionary: Proposals and Ballots.
Documentattributesincludeauthors, title, abstract-text, full-text, authored-when.
Document-versionisadocument.
Document-versionattributesincludeversion-authors, versioned-when.
Anauthorisaperson.
Aproposalisadocument.
Proposalattributesincludesponsored-by-member, sponsored-when, shares-required, ready-for-ballot, assigned-to-party.
Ready-for-ballotcategoriesinclude' yes: Include on ballots',' incomplete: authors are working on it',' passed: implementation assigned',' withdrawn: withdrawn for now'.
A member isaperson.
Ballotattributesincludefinalized-when, proposals, shares-allowed.
Shares-allowedisameasure.
Voter-ballotattributesincludevoter, proposal-scores, submitted-when, finalized-when.
Proposal-scoreattributesincludetitle, score, when-scored.
Scoreisameasure.
Scoreboardattributesincludescored-when, proposal-scores.
Dictionary: Topic vocabulary.
Topicattributesincludespeaker, title, description.
Pane: meetings.
Pane: members.
View: Current-Ballot Proposals.
View: Current-Ballot Scoreboard.
View: Proposal score history.
View: Topic.
View: Voter-Ballot.
View: Welcome.


{% load static %}
Filpkart_Tracker
FlipKart Price Tracker
Offcanvas
Home
LogOut
Add Item
Add Item
{% csrf_token %}
Enter Product URL
https://example.com/users/
Update
{% csrf_token %}
Search
Total no of items being tracked : {{ items_no }}
Discounted items : {{ no_discounted }}
{% if prods %} {% for item in prods %}
{{ item.name }}
Delete?
Delete Item
{% csrf_token %}
Sure you want to delete
{{ item.name }} ?
Current price (Rs) : {{ item.current_price }}
Old price (Rs) : {{ item.old_price }}
Lowest price (Rs) : {{ item.lowest_price }}
Difference (Rs) : {{ item.price_difference }}
Link :
Link to Product
{% endfor %} {% else %}
No search results
Your search query :
{{ query }}
did not match any documents.
Suggestions:
Make sure that all words are spelled correctly.
Try more general keywords.
Try fewer keywords.
Try different keywords.
{% endif %}


Copy a file to another location and modify its contents.
configure_file(<input> <output>
[COPYONLY] [ESCAPE_QUOTES] [@ONLY]
[NEWLINE_STYLE [UNIX|DOS|WIN32|LF|CRLF] ])
Copies a file <input> to file <output> and substitutes variable values referenced in the file content. If <input> is a relative path it is evaluated with respect to the current source directory. The <input> must be a file, not a directory. If <output> is a relative path it is evaluated with respect to the current binary directory. If <output> names an existing directory the input file is placed in that directory with its original name.
If the <input> file is modified the build system will re-run CMake to re-configure the file and generate the build system again.
This command replaces any variables in the input file referenced as ${VAR} or @VAR@ with their values as determined by CMake. If a variable is not defined, it will be replaced with nothing. If COPYONLY is specified, then no variable expansion will take place. If ESCAPE_QUOTES is specified then any substituted quotes will be C-style escaped. The file will be configured with the current values of CMake variables. If @ONLY is specified, only variables of the form @VAR@ will be replaced and ${VAR} will be ignored. This is useful for configuring scripts that use ${VAR}.
Input file lines of the form “#cmakedefine VAR ...” will be replaced with either “#define VAR ...” or /* #undef VAR */ depending on whether VAR is set in CMake to any value not considered a false constant by the if() command. (Content of ”...”, if any, is processed as above.) Input file lines of the form “#cmakedefine01 VAR” will be replaced with either “#define VAR 1” or “#define VAR 0” similarly.
With NEWLINE_STYLE the line ending could be adjusted:
'UNIX' or 'LF' for \n, 'DOS', 'WIN32' or 'CRLF' for \r\n.
COPYONLY must not be used with NEWLINE_STYLE.


The Aerobatic auth0 plugin is an easy way to add Auth0 authentication to your static site. Now you can have a full blown registration system in place for your Aerobatic sites with just a few lines of YAML. Read the full documentation or view the source code.
You must register to access this site
To implement Auth0 for your own website, see the Aerobatic documentation.


OpenSearch Geo and Time Extensions Conformance Test Suite
Scope
This executable test suite (ETS) verifies conformance of OpenSearch Description documents with
respect to the specifications:
Several conformance classes are defined and test subject is checked against the following specifications:
- OpenSearch Geo and Time Extensions (OGC 10-032)
- The Atom Syndication Format (RFC-4287)
The following conformance classes are defined:
- Core (GeoSpatial Service)
- The server generates a valid OpenSearch description document.
- The server defines an URL template for the Atom response type.
- The server implements a bounding box search.
- Arbitrary Geometry Search : The server implements a spatial search
capability using an arbitrary geometry.
- Point and Radius Search : The server implements a spatial search
using a point and a radius.
- Minimum spatial operator : The server implements the “intersects”
spatial operator.
- Spatial operators : The server implements the spatial operators
“contains” and “disjoint”.
- Get record by id : The server can retrieve a record form its
repository using the id of the record.
- Search by name : The server implements a spatial search using the
name or address of a location.
- Temporal search core : The server implements a temporal search capability.
- Temporal search relation : The server implements a temporal search capability
able to define temporal relations
See the Javadoc documentation for more detailed information about the test classes and test methods
that comprise the suite.
How to run the tests
The test suite may be run in any of the following environments:
- TEAM-Engine: Run the CTL script located in the
/src/main/ctl/
directory.
The test run arguments are summarized in Table 1. The Obligation
descriptor can have the following values: M (mandatory), O (optional),
or C (conditional).
Table 1 - Test run arguments
| Name |
Value domain |
Obligation |
Description |
| iut |
URI |
M |
A URI that refers to the OpenSearch Description document implementation
under test. |
Release notes
1.0-r1
Initial release (alpha)


"BAAL-ZEPHON" Baal of the north, an Egyptian town on the shores of the Gulf of Suez (Exodus 14:2; Numbers 33:7), over against which the children of Israel encamped before they crossed the Red Sea. It is probably to be identified with the modern Jebel Deraj or Kulalah, on the western shore of the Gulf of Suez. Baal-zapuna of the Egyptians was a place of worship.
"BAAL-ZEPHON" Baal of the north, an Egyptian town on the shores of the Gulf of Suez (Exodus 14:2; Numbers 33:7), over against which the children of Israel encamped before they crossed the Red Sea. It is probably to be identified with the modern Jebel Deraj or Kulalah, on the western shore of the Gulf of Suez. Baal-zapuna of the Egyptians was a place of worship.


Why is Varun Joshi the perfect fit to be an Intern at your company ?
Varun Joshi, Full Stack Epicness!
10k Views • Upvoted by Elon musk • Mark Zuckerberg • God • Alpha, Beta and the Omega
Tl;dr : Varun Joshi is Awesome !
What makes Varun Joshi stand out is his enthusiasm to contribute and his curosity to learn. Following the mantra of " Determination, Dedication and Discipline his passion driven spirit and a cheerful nature makes me question, "Why isn't he there already ? "more...
What makes Varun Joshi stand out is his enthusiasm to contribute and his curosity to learn. Following the mantra of " Determination, Dedication and Discipline his passion driven spirit and a cheerful nature makes me question, "Why isn't he there already ? "more...
The passion to solve complex problems, employing the most efficient and fast algorithms with a knack for Design and User Experience, it is my versatility that helps me excel.
Having 3 years of extensive experience as a Senior Systems Engineer, coded thousands of lines of pure quality code and worked on some of the most amazing projects, it is my creative and logical intellect through which I can prove to be a vital asset.
Driven with Passion. . .
I Design
Some of my best works:
-
Working part-time in the IT department of the university, I design and develop various web apps such as the Key Performance Indicators which uses graphs to display various metrics to the users.
-
Anukruti: Infosys Quaterly NewsletterBack to Anukruti edition, designed it in the form of a journal with live elements like page turning, bookmarks etc.
-
Anukruti: Infosys Quaterly NewsletterAnukruti Black Edition: Single page, responsive website. Smooth transition between sections and self designed logo.
-
Anukruti: Infosys Quaterly NewsletterAnukruti 7 Sins: Minimalistic web design with eye catchy visual elements to portray a sense of mystery and darkness.
With a Spark to Grow
I Code
< Projects I've worked on >
-
UBIT Website Developer:Working on top of Adobe CQ5, the software download section is being redone to make it much more optimized, efficient and visually appealing.
-
UPC/Ziggo Self Care portalUsing client given visual styles, developed a single page, responsive web portal using the Adobe CQ5 CMS, with Bootstrap v3.1. The functionality was coded in Java.
-
Vodafone eShop and mSalesPart of the dedicated Infosys UI/UX Team for the client Vodafone. Primary focus on responsivness on mobile devices and compatibility with legacy browsers. Used HTML5, CSS3, javascript, jQuery and xui mobile.
-
Twit Analytic Search EngineWorked on the development of a search engine which retrieves data upon the queried topics from a subset of latest tweets and then analyzes it to give interesting and important information like Semantic Analysis, Geographic analysis etc. Also developed a web crawler coded in Java. The project included various analytic features including content tagging, faceted search, graph search etc.
To achieve perfection
And I'm Certified
-
Microsoft Certified Professional:Certification Number: E167-1149, Certification ID: 9680798
-
Microsoft SpecialistProgramming in HTML5 with Javascript and CSS3. CerVficaVon Number: E167-1144, CerVficaVon ID: 9680798
-
Microsoft Certification Transcript


V1.1
It seems you do not have any index.html neither index.html.gz, please upload it or update your firmware if necessary.
Flash Filesystem
+
Type
Name
Size
Firmware Update
Restarting, please wait....
Identification
User:
Password:


Hello,
Hello,
This appointemnt has been cancelled by
Start date:
Work:
Provider:
Customer:
Duration:
Price:


Nicholas Campbell is a student at UCSD studying Computer Science and Philosophy.
His interests include web and software development, design, political arguments, beer, and music.
In this class, taken during the summer of 2016, I learned about Usability in Information Architecture by working with a team through the needfinding, logo design, wireframing, prototyping, and user testing, to create a usable product that makes intuitive sense.
A week-by-week breakdown is available here.
In the same class, I used bootstrap to quickly make a personal porfolio, which is available here.


This is the API documentation for 'deep_merge-1.0.0 Documentation'.
[Validate]
Generated with the Darkfish Rdoc Generator 2.


- Hack a solution
- Learn about the fundamentals
- Investigate solutions frm other langauges / libraries
- Respect the wisdom of the old
- Make a list of major challenges
- Make a prototype a solution, focusing on one major challenge
- Try to solve just one hard problem
- Don't get overwhelmed by other problems
- Don't get distracted by easy problems


{% set user_may_edit = (permissions_form is not none) %}
{% set form_url = url_for('.update_object_permissions', object_id=object.object_id) %}
{% set fixed_user_permissions = {} %}
{% set show_administrators = True %}
{% set show_instrument_scientists = instrument is not none %}
{% set show_all_users = True %}
{% set show_anonymous_users = config['ENABLE_ANONYMOUS_USERS'] %}
{% set read_permissions_description = _('Permission to view objects and their properties, files and comments.') %}
{% set write_permissions_description = _('Permission to edit objects and their properties and add files and comments. Includes Read permissions.') %}
{% set grant_permissions_description = _('Permission to grant permissions to other users. Includes Write permissions.') %}
{% include "permissions/permissions.html" %}
{% if user_may_edit %}
{% if object.component_id is none and (possible_new_components or federation_shares)%}
{{ _('Other databases') }}
{% if federation_shares %}
{% endif %}
{% if possible_new_components %}
{{ _('Add database') }}
{% endif %}
{% endif %}
{% if copy_permissions_form %}


Red Planet (2000) Review by Steve Kong The Hard Boiled Movie Guide http://boiledmovies.sbay.com/
I love how Hollywood works. When a film about a particular subject or thing comes out there always seems to be another one about just that same thing on the heels of it. For example look at Speed and Blown Away (mad bombers), Antz and A Bug's Life (bugs), Matrix and eXistenZ (alternate reality). These types of films are always released a few months away from each other and I don't know why because invariably one is far superior to the next usually by a large margin. This year the thing that is being covered twice in theatres is a trip to Mars. The first out of the gates was Brian DePalma's terrible Mission to Mars. The second is Red Planet and Red Planet is what Mission to Mars should have been.
Humans have finally polluted the Earth to the point where habitation on this planet is no longer viable. What is a species supposed to do? Go find another planet to ruin of course. And this is how Red Planet starts. The opening of the film sets up the story quickly via a voice-over by Command Kate Bowman (Carrie-Anne Moss). We meet the rest of the crew quickly, co-pilot Ted Santen (Benjamin Bratt), scientist Dr. Quinn Burchenal (Tom Sizemore), Chip Penttengill (Simon Baker), a religious scientist Chantias (Terence Stamp), and the space handyman Gallagher (Val Kilmer).
Unlike Mission to Mars where a lot of time is spent watching the crew as they go to Mars, Red Planet makes the trip quick and easy. Much of Red Planet actually takes place on the planet Mars. What is interesting and also what drew me into the film was writer Chuck Pfarrer's (Darkman) notion of how we were going to make Mars inhabitable. Humans, seeing the demise of Earth, sent probes to Mars with algae. This algae worked to make an atmosphere on Mars and eventually the atmosphere would turn habitable and breathable. But, to the surprise of the humans somehow all the algae just disappeared one day. Gone. And it is this disappearance of the algae that the crew, headed by Bowman, is sent to investigate on Mars. The movie has a good and plausible explanation for the disappearance of the algae and it keeps you guessing throughout the film.
Did I like Red Planet? Yes. I enjoyed the film thoroughly. Some might say that it's a bit long or a bit slow, but I thought it was a good solid piece of sci-fi moviemaking. Kudos to director Antony Hoffman and writer Chuck Pfarrer for putting together a believable and enjoyable film.
The actors all do well. Carrie-Anne Moss again shows that she's up to par as an actress and that her first time out in The Matrix was not a fluke. (It's interesting to note that her character's name is a tip of the hat to the movie 2001's main character Bowman.) Val Kilmer is excellent as Gallagher. Kilmer has that exact smugness and immature that the Gallagher character calls for and Kilmer shines in the part. Of the other actors Terence Stamp puts out a good performance and so does Tom Sizemore (who is always a good and reliable supporting actor).
The special effects in Red Planet were sufficiently good. The one that I loved the most was AMEE the robot that is supposed to navigate Mars for the ground crew. AMEE is frightening and though the robot is not always onscreen the frightening presence of "her" is always there.
Red Planet is a good sci-fi flick. Catch it in theatres if you have a chance or catch it on video. Skip Mission to Mars, Catch Red Planet.
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


Dyslexie is a new font, designed to make life easier for sufferes of dyslexia. The font has been created specifically to enhance the reading experience for dyslexic people, using everything we know about how dyslexia affects perception of letters and words.
Find out more by visiting http://studiostudio.nl/
copyright © 2012-2015
Christian Theo Boer.
All rights reserved.


Work
-
Subway Sandwiches & Salads
May – Oct. / 13
- Supervising Sandwich Artist — Port Elgin, Ontario
- Serving customers, cashier, food preperation, opening and closing duties.
-
Winstars Gymnastics
July – Sept. / 05
- Coaches Assistant — Windsor, Ontario
- Assisted the coach in training children gymnastics and supervision.
Experience
-
Sun Parlor Junior Public School
Sept. / 05 – Feb. / 09
- Teachers Assistant — Essex, Ontario
-
Essex District High School
Apr. / 09
- Teachers Assistant — Essex, Ontario
Special Skills & Technical Proficiency
-
Computer Skills
- Adobe Photoshop, Adobe Illustrator, Adobe Dreamweaver, Adobe InDesign, HTML/CSS & Javascript
-
Artistic Skills
- Digital & Film Photography, Drawing, Painting, Screen Printing & Multimedia
References
- References Available Upon Request


-
How to Start a Startup
startupclass.samaltman.com
CS183B is a class we’re teaching at Stanford. It’s designed to be a sort of one-class business course for people who want to start startups.
 Google Ventures' Daniel Burka dives into the data.
-
WantMore
www.springwise.com
Springwise scans the globe for smart new business ideas, delivering immediate inspiration to entrepreneurial minds. You can sign up to our daily and ...
-
Team | Google Ventures
www.gv.com
GV provides seed, venture, and growth-stage funding to the best companies. We’ve invested in more than 250 companies, including Uber, Nest, and ...
-
Godwin's law - Wikipedia, the free encyclopedia
en.wikipedia.org
Godwin's law (or Godwin's Rule of Nazi Analogies ) [ 1 ] [ 2 ] is an Internet adage asserting that "As an online discussion grows longer, the ...
-
UberMILITARY: We Want You | Uber Blog
blog.uber.com
Transitioning from military to civilian life can be challenging, but at Uber we understand that veterans are some of our nation’s most talented and ...
-
Meet Blue Bottle at Home
www.gv.com
In this Google Ventures profile, Blue Bottle founder and CEO James Freeman shares his vision for Blue Bottle at Home, a new e-commerce destination ...
-
Desire Paths & Great Design (at G8) | THULME.com
thulme.com
Thoughts on open design, based on experience w. OpenIDEO & OIEngine
-
How might we build better employment opportunities and pathways for young ...
openideo.com
In the wake of a global economic crisis, rising youth unemployment has reached critical levels that demand our urgent attention. A startling number ...
-
Conquer Recurring Payments - GoCardless Guides
gocardless.com
If you want to take recurring payments, you have two main options: credit card and Direct Debit. Compare setup time, cost, conversion rates, churn ...
-
The era of open innovation and collaboration | London Business School
www.youtube.com
Tom Hulme, Founder and Managing Director of OpenIDEO, speaks at London Business School's Global Leadership Summit about open innovation and ...
-
Designing for Emergence (TEDx) | THULME.com
thulme.com
Thoughts on open design, based on experience w. OpenIDEO & OIEngine
-
Tom Hulme | Nuzzel
nuzzel.com
The top news stories shared by the friends of Tom Hulme. Nuzzel is the the super-easy way to see news from your friends.
-
Top 10 Inspirational Quotes from Graduation 2014
newsevents.arts.ac.uk
Top 10 inspirational quotes from the art, design, fashion and performance luminaries at UAL's Graduation 2014
-
The Learning Myth: Why I'll Never Tell My Son He's Smart
www.huffingtonpost.com
He then said, "Dad, aren't you glad how I struggled with that word? I think I could feel my brain growing." I smiled: my son was now verbalizing the ...
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10 things to know about our meeting in China
forumblog.org
Next week, China’s premier, Li Keqiang, will open the eighth Annual Meeting of the New Champions in Tianjin, China, from 10-12 September. Find out ...
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'Chalkify' your city: share your pictures
www.theguardian.com
As part of the ‘playable city’ movement, people are grabbing sticks of chalk and creating playful drawings on city streets. Share your pictures of ...
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Announcing New Community Roles For Our Upcoming Early Childhood ...
openideo.com
The Amplify Team is getting ready for our second challenge launching in September. In this challenge we’ll be tackling Early Childhood Development ...
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News Challenge to explore role of libraries in the digital age
www.knightfoundation.org
Photo illustration made with images from Flickr users Thomas Hawk and Sourabh Rath. On Sept. 10, we’re opening the next ...
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Free Mailbox Stickers Signify Goods Residents Are Willing to Lend ...
www.psfk.com
Sharing economy goes analog in Germany and Switzerland
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Why VC Firms Are Snapping Up Designers
www.fastcodesign.com
Irene Au, former head of Google's user interaction team, is the latest designer to make her way to a venture capital firm. Here's why VCs are so ...
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Gay son kicked out by religious parents receives incredible amount to ...
www.gaystarnews.com
Prepare to have your faith in humanity renewed as generous, loving people rally around a 20-year-old who thought he lost everything
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What Are "Nearables," And Why Is Ideo So Excited About Them?
www.fastcodesign.com
Bluetooth beacons enter a new interactive frontier with Estimote's sticker-size hardware
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Our fight for a fighting chance | Lewis Pugh: Achieving the Impossible
lewispugh.com
Lewis Pugh completes the last of his 7 Swims in the 7 Seas for 1 Reason campaign with a powerful message for all of us.
-
Elmo Calls
itunes.apple.com
Get Elmo Calls on the App Store. See screenshots and ratings, and read customer reviews.


{% extends 'base.html' %} {% block app_content %}
The following text was extracted:
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| Class and Description |
|---|
| DuplexChannelEventArgs
Event argument used by output channel to indicate connection open or connection closed.
|
| ResponseReceiverEventArgs
Event argument used by the input channel to indicate the output channel was connected or disconnected.
|
| Class and Description |
|---|
| DuplexChannelEventArgs
Event argument used by output channel to indicate connection open or connection closed.
|
| ResponseReceiverEventArgs
Event argument used by the input channel to indicate the output channel was connected or disconnected.
|
| Class and Description |
|---|
| DuplexChannelEventArgs
Event argument used by output channel to indicate connection open or connection closed.
|
| ResponseReceiverEventArgs
Event argument used by the input channel to indicate the output channel was connected or disconnected.
|
| Class and Description |
|---|
| IDuplexInputChannel
Duplex input channel which can receive messages from the duplex output channel and send response messages.
|
| IDuplexOutputChannel
Duplex output channel which can send messages to the duplex input channel and receive response messages.
|
| Class and Description |
|---|
| IDuplexInputChannel
Duplex input channel which can receive messages from the duplex output channel and send response messages.
|
| IDuplexOutputChannel
Duplex output channel which can send messages to the duplex input channel and receive response messages.
|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| Class and Description |
|---|
| IDuplexInputChannel
Duplex input channel which can receive messages from the duplex output channel and send response messages.
|
| IDuplexOutputChannel
Duplex output channel which can send messages to the duplex input channel and receive response messages.
|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| Class and Description |
|---|
| IDuplexInputChannel
Duplex input channel which can receive messages from the duplex output channel and send response messages.
|
| IDuplexOutputChannel
Duplex output channel which can send messages to the duplex input channel and receive response messages.
|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| Class and Description |
|---|
| DuplexChannelEventArgs
Event argument used by output channel to indicate connection open or connection closed.
|
| IDuplexInputChannel
Duplex input channel which can receive messages from the duplex output channel and send response messages.
|
| IDuplexOutputChannel
Duplex output channel which can send messages to the duplex input channel and receive response messages.
|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| ResponseReceiverEventArgs
Event argument used by the input channel to indicate the output channel was connected or disconnected.
|
| Class and Description |
|---|
| IDuplexInputChannel
Duplex input channel which can receive messages from the duplex output channel and send response messages.
|
| IDuplexOutputChannel
Duplex output channel which can send messages to the duplex input channel and receive response messages.
|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| Class and Description |
|---|
| IDuplexInputChannel
Duplex input channel which can receive messages from the duplex output channel and send response messages.
|
| IDuplexOutputChannel
Duplex output channel which can send messages to the duplex input channel and receive response messages.
|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| Class and Description |
|---|
| IDuplexInputChannel
Duplex input channel which can receive messages from the duplex output channel and send response messages.
|
| IDuplexOutputChannel
Duplex output channel which can send messages to the duplex input channel and receive response messages.
|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| Class and Description |
|---|
| DuplexChannelEventArgs
Event argument used by output channel to indicate connection open or connection closed.
|
| DuplexChannelMessageEventArgs
Event argument used by output and input channel to indicate a message was received.
|
| IDuplexInputChannel
Duplex input channel which can receive messages from the duplex output channel and send response messages.
|
| IDuplexOutputChannel
Duplex output channel which can send messages to the duplex input channel and receive response messages.
|
| ResponseReceiverEventArgs
Event argument used by the input channel to indicate the output channel was connected or disconnected.
|
| Class and Description |
|---|
| IDuplexInputChannel
Duplex input channel which can receive messages from the duplex output channel and send response messages.
|
| IDuplexOutputChannel
Duplex output channel which can send messages to the duplex input channel and receive response messages.
|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| Class and Description |
|---|
| IDuplexInputChannel
Duplex input channel which can receive messages from the duplex output channel and send response messages.
|
| IDuplexOutputChannel
Duplex output channel which can send messages to the duplex input channel and receive response messages.
|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| Class and Description |
|---|
| IDuplexInputChannel
Duplex input channel which can receive messages from the duplex output channel and send response messages.
|
| IDuplexOutputChannel
Duplex output channel which can send messages to the duplex input channel and receive response messages.
|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| Class and Description |
|---|
| IDuplexInputChannel
Duplex input channel which can receive messages from the duplex output channel and send response messages.
|
| IDuplexOutputChannel
Duplex output channel which can send messages to the duplex input channel and receive response messages.
|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| Class and Description |
|---|
| IDuplexInputChannel
Duplex input channel which can receive messages from the duplex output channel and send response messages.
|
| IDuplexOutputChannel
Duplex output channel which can send messages to the duplex input channel and receive response messages.
|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| Class and Description |
|---|
| IDuplexInputChannel
Duplex input channel which can receive messages from the duplex output channel and send response messages.
|
| IDuplexOutputChannel
Duplex output channel which can send messages to the duplex input channel and receive response messages.
|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| Class and Description |
|---|
| DuplexChannelEventArgs
Event argument used by output channel to indicate connection open or connection closed.
|
| Class and Description |
|---|
| DuplexChannelEventArgs
Event argument used by output channel to indicate connection open or connection closed.
|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| ResponseReceiverEventArgs
Event argument used by the input channel to indicate the output channel was connected or disconnected.
|
| Class and Description |
|---|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| Class and Description |
|---|
| IMessagingSystemFactory
Represents messaging providing output and input channels for the communication.
|
| ResponseReceiverEventArgs
Event argument used by the input channel to indicate the output channel was connected or disconnected.
|


{% from 'selection.html' import selection as selection %} {% from 'scoring.html' import scoring as scoring %} {% from 'otherOptions.html' import otherOptions as otherOptions %} {% macro modes(mode, readme, pool_default, pool_max, max_word_length, kebab_to_space) -%}
{%- endmacro %}


If you change frame.setSize( 150, 100 )
to
frame.setSize( 300, 100 )
how will the frame appear?
The frame will be 300 pixels wide by 100 high, twice as wide as previous.
The setSize()
method of JFrame
changes
the size of the frame on the computer monitor.
The size can be changed as the program runs.
For example, the following program works
(although it is mostly useless):
import java.awt.*; import javax.swing.*; public class TestFrame1 { public static void main ( String[] args ) { int height=100, width=200; JFrame frame = new JFrame("Test Frame 1"); frame.setSize( width, height ); frame.setVisible( true ); frame.setSize( width+50, height+75 ); } }
The frame starts out with size 200 by 100, and then changes size to 250 by 175.


Not your average emo rocker
I have my degree in Marketing but I always found myself more excited on how I could implement
code into my workflow and automate tasks. Whether it was webscraping competitors sites for
pricing, automating reports for data analysis, or a personal project.
I have always had an interest in computers/programming/coding/networking and would love to work
closer to my interest. I still enjoy ROI's, making reports and analytics of data,
digital marketing, adwords, and other marketing tactics but my passion lies closer to
technology.
My friend and I started a staffing agency in 2017. We focused our staffing on
general labor, construction, and warehouses.
We have been fortunate enough to keep this running for several years.
Below is a link to the staffing site and also a demo site I made when I was learning html/css/javascript
I am very proud of my homelab. I got interested in
Dev-Ops / Stack
Development
and setup my own server, reverse proxies, honeypots, vlans, firewalls, 2
factor authentication, and other security features using Dev-Ops tools
Below is my first stack, it takes API requests and routes them to a torrent indexer inside a VPN.
Once downloaded the movies should be available through my plex media share. Login to request
movies
Constantly learning means im stuck constantly trying to remember. I have organized my notes to
help me remember snippets of code and revisit helpful websites for when I need to brush up on
topics. Unfortunately we can only remember so much but this really helps me
A full stack application to share experiences about venues and live music experiences.
- HTML CSS (ejs tempaltes) for Front End.
- Express for Back End and User authentication.
- Mongo Atlas as a cloud based Database. Cloudinary for cloud based media storage.
- Heroku for cloud based server/deployment.