|
Launch:
30 Apr 2016
|
Launch:
30 span 2016
|
Launch:
30 Jun 2016
|
Launch:
30 Jul 2016
|
|||||
|---|---|---|---|---|---|---|---|---|
| Pricing and Market Access | Target | Actual | Target | Actual | Target | Actual | Target | Actual |
| Commercial Operations | 0% | 0% | 0% | 0% | ||||
| Egestas Magna Sem Bibdenum | 52.8% | 52.8% | 52.8% | 52.8% | ||||
| Ornare Dapibus Sem | 78.3% | 0% | 0% | 78.3% | ||||
| Magna Aenean Solicitudin | 0% | 0% | 0% | 0% | ||||
| Porta Nullam Tristique | 0% | 0% | 0% | 0% | ||||
| Key Account Management | 61.5% | 61.5% | 61.5% | 61.5% | ||||
| Market Access | 0% | 0% | 0% | 0% | ||||
| Pricing and Market Access | Target | Actual | Target | Actual | Target | Actual | Target | Actual |
| Marketing Science/Research | 78.3% | 78.3% | 78.3% | 78.3% | ||||
| Medical | 0% | 0% | 0% | 0% | ||||
| Medical Affairs | 0% | 0% | 0% | 0% |


Splines¶
Introduction¶
Splines
is a set of C++ classes (with MATLAB mex interface) which
implements various spline interpolation.
Matlab Toolbox¶
To use in MATLAB install the toolbox Splines.mltbx
then compile the
necessary mex
files running CompileSplinesLib
.
C++ Usage¶
The usage is simple:
#include "Splines.hh"
using namespace SplinesLoad;
// ....
CubicSpline spline;
double x[] = {1,2,3,4};
double y[] = {3,1,1,3};
spline.build(x,y,4); // build a cubic spline with 4 points
cout << spline(1.1) << '\n'; // spline at x = 1.1
cout << spline.D(1.1) << '\n'; // spline first derivative at x = 1.1
cout << spline.DD(1.1) << '\n'; // spline second derivative at x = 1.1
cout << spline.DDD(1.1) << '\n'; // spline third derivative at x = 1.1
splines can be built incrementally
#include "Splines.hh"
using namespace SplinesLoad;
// ....
CubicSpline spline;
spline.pushBack( 1, 3 );
spline.pushBack( 2, 1 );
spline.pushBack( 3, 1 );
spline.pushBack( 4, 3 );
spline.build();
cout << spline(1.1) << '\n'; // spline at x = 1.1
cout << spline.D(1.1) << '\n'; // spline first derivative at x = 1.1
cout << spline.DD(1.1) << '\n'; // spline second derivative at x = 1.1
cout << spline.DDD(1.1) << '\n'; // spline third derivative at x = 1.1
or by using standard vector
#include "Splines.hh"
#include <vector>
using namespace SplinesLoad;
using namespace std;
// ....
CubicSpline spline;
std::vector x, y;
x.push_back(1); y.push_back(3);
x.push_back(2); y.push_back(1);
x.push_back(3); y.push_back(1);
x.push_back(4); y.push_back(3);
spline.build(x,y);
cout << spline(1.1) << '\n'; // spline at x = 1.1
cout << spline.D(1.1) << '\n'; // spline first derivative at x = 1.1
cout << spline.DD(1.1) << '\n'; // spline second derivative at x = 1.1
cout << spline.DDD(1.1) << '\n'; // spline third derivative at x = 1.1
Compile and tests¶
Using makefile¶
Edit makefile file to match compiler of your OS and do:
make
Using rakefile¶
rake build_win # on windows
rake build_linux # on linux
rake build_osx # on mac
To run the test
make run # using makefile
rake run # using rake on linux and osx
rake run_win # using rake on windows
Contents¶
References¶
-
F.N. Fritsch and R.E. Carlson,Monotone Piecewise Cubic Interpolation,SIAM Journal of Numerical Analysis, Vol.17, No. 2, pp. 238-246, 1980.
-
Hiroshi Akima,Journal of the ACM,Vol.17, No. 4, 589-602, 1970.
-
Hiroshi Akima,A Method of Bivariate Interpolation and Smooth Surface Fitting for Irregularly Distributed Data Points,ACM Transactions on Mathematical Software, Vol.4, 148-164, 1978.
License¶
Copyright (c) 2020, Enrico Bertolazzi
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are
met:
* Redistributions of source code must retain the above copyright
notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright
notice, this list of conditions and the following disclaimer in
the documentation and/or other materials provided with the distribution
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
ARE DISCLAIMED.


(qsym . sym) -> lst
- Returns a cons pair of the value and property list of
sym
. See
also quote
, val
and getl
.
: (setq A 1234)
-> 1234
: (put 'A 'a 1)
-> 1
: (put 'A 'b 2)
-> 2
: (put 'A 'f T)
-> T
: (qsym . A)
-> (1234 f (2 . b) (1 . a))
(quote . any) -> any
- Returns
any
unevaluated. The reader recognizes the single quote
char '
as a macro for this function. See also lit
.
: 'a
-> a
: '(foo a b c)
-> (foo a b c)
: (quote (quote (quote a)))
-> ('('(a)))
(query 'lst ['lst]) -> flg
- Handles an interactive Pilog query. The two
lst
arguments are passed to prove
. query
displays each
result, waits for console input, and terminates when a non-empty line is
entered. See also ?
, pilog
and solve
.
: (query (goal '((append @X @Y (a b c)))))
@X=NIL @Y=(a b c)
@X=(a) @Y=(b c). # Stop
-> NIL
(queue 'var 'any) -> any
- Implements a queue using a list in
var
. The any
argument is (destructively) concatenated to the end of the value list. See also
push
, pop
and fifo
.
: (queue 'A 1)
-> 1
: (queue 'A 2)
-> 2
: (queue 'A 3)
-> 3
: A
-> (1 2 3)
: (pop 'A)
-> 1
: A
-> (2 3)
(quit ['any ['any]])
- Stops current execution. If no arguments are given, all pending
finally
expressions are executed and control
is returned to the top level read-eval-print loop. Otherwise, an error handler
is entered. The first argument can be some error message, and the second might
be the reason for the error. See also Error
Handling
.
: (de foo (X) (quit "Sorry, my error" X))
-> foo
: (foo 123) # 'X' is bound to '123'
123 -- Sorry, my error # Error entered
? X # Inspect 'X'
-> 123
? # Empty line: Exit
:


I Can Haz Job?
According to RTE there should be plenty of work for me and my classmates when we graduate. Good to hear. (As Forrest Gump would say, “One less thing, you know?”.) Unfortunately, from my experience so far this year I don’t think it’s going to be quite as easy to get a good job in ICT as RTE suggests.
The dramatic reduction in the number of people studying computer sciences courses since the dot-com bust has been no more obvious than in my own course. At the start of this decade, GY350 Information Technology was very much in demand, with hundreds of students and Round 1 CAO points regularly over 400.
Today, there’s nine of us in final year.
What caused the continuous slump in applicants? According to a report published last year by Forfás, the national policy advisory body for enterprise and science, the mammies and guidance councilors of Ireland share a large part of the blame.
When the numbers of ICT jobs started to fall sharply and graduates found themselves competing to find work the mammies of Ireland took heed. The word was out that the ”computhers game” was a lame duck.
Nay not so. While fewer positions were available, the revenue generated by the ICT industry continued to grow and after 2004 the number of people employed in ICT began to steadily grow again. However, the stigma of the bust was not forgotten.
Personally, I know a number of people who wanted to study IT but were told “sure there’s no jobs in that” and “wouldn’t you study civil engineering and make a fortune like young Gombeen down the road?”.
Now we’re told Ireland doesn’t have enough IT graduates to meet demand. RTE reports that “50% of software hires in Dublin are from abroad” at a time when 4000 people (including many college graduates) are applying for 280 jobs in Ikea.
Aside from worries about job security, I also think that people have a poor understanding of the type of work that an IT student will do once they graduate. When I’m asked what I’m studying in college, I generally have to brace myself for the inevitable “Oh, you’re doing IT? Is there much work fixing computers?”. (Usually followed by a request to fix a broken printer or laptop. o_0 )
One of the main recommendations of the Forfás report is “better communication of career opportunities and skills needs of the ICT sector “. I think a good effort is now being made by the government and 3rd level institutions to change people’s perceptions of ICT. Hopefully, this will lead to more applications over the coming years.
An unexpected side affect of the drop in demand for ICT courses was an increase in the drop out rate. The points for my course bombed from 385 in 2001 to 225 in 2002. The points began to steadily climb again, but in the proceeding years I know that some people applied for the course purely based on the low points requirement. They struggled with the course material and work load. Many failed and either repeated or dropped out.
Other similar courses such as Electronic Engineering experienced the same problems.
All this should be good news to me, right? Less competition and all that? Unfortunately, my pending departure from 3rd level education is coinciding with probably the most dramatic hic-up in the Irish and global economy.
Already, a number of companies well-known for hiring IT graduates have suspended hiring for the rest of the year due to “the current macro-economic environment”. I didn’t hear that mentioned in the RTE report.
I also think some companies are continuing to advertise for jobs not knowing if they will be able to actually take on new hires, probably because they don’t want to seem weak in the current climate.
I’m not expecting to fall out of my degree onto a smorgous board of opportunity waiting to snap me up. (Prove me wrong, world. Prove me wrong.) In fact, I think I’m going to have to really sell myself to land a good job where I’ll be competing against people that are out of work and who have a few year’s experience under their belts.
Are there plenty of jobs out there? I’m sure there is, but definitely not to the extent reported by RTE last Thursday.


{% extends "base.html" %} {# file_contents.html: list contents of file on screen Input: line -> list of string#} {% block content %}


Memorable Date Calculator
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Deep Impact (1998) 2 1/2 stars out of 4 Starring Tea Leoni, Robert Duvall, Morgan Freeman and Elijah Wood.
The writers of Deep Impact framed a good idea. Forget about a special effects extravaganza. Instead, concentrate on the human element, on how people would react if they knew the end of the world was near.
That's fine, but screenwriters Michael Tolkin (The Rapture) and Bruce Joel Rubin (Ghost) overextend themselves. They've created too many characters and too many subplots, thus some of their protagonists get short shrift and some of their stories go nowhere or merely hit dead ends.
Deep Impact opens as Leo Beiderman (Elijah Wood), a 14-year-old student and member of his high school astronomy club, discovers a new body in the night sky.
His find is sent to Professor Wolf, a noted astronomer who makes the discovery that the body is a comet, which he names Wolf-Beiderman, and that it is on a collision course with Earth. But on his way to transmit the information to higher authorities in Washington, the astronomer is killed.
This is a pointless plot device since the story jumps ahead several months and we learn the government knows all about Wolf-Beiderman. We learn this because TV reporter Jenny Lerner (Tea Leoni) is investigating the suspicious resignation of the Secretary of the Treasury, whom she suspects is having an affair with a woman named "Ellie."
When Jenny is kidnapped by the FBI and is taken to meet the president (Morgan Freeman) she learns that "Ellie" is really "E.L.E.," for extinction level event.
The film's first reel is wasted on this, before any real action begins.
It seems the government is already undertaking a plan to try to destroy or divert the comet by sending a team of astronauts to land on the body, plant nuclear weapons and blow it up.
Meanwhile, back on Earth, the populace is told of a lottery in which 1 million people will be housed for two years in deep caverns in Missouri to preserve the human race. Actually, it's only 800,000 people as 200,000 scientists, doctors, artists and other professionals (no lawyers, we hope) already have been notified they will be saved.
The rest will be chosen by a random computer selection of Social Security numbers.
So, that's the set-up.
From here director Mimi Leder pushes the story along. But it is rather slow going, especially here on Earth. The people are too nice, too noble, too stoic. Oh, Leder shows scenes of looting and rioting, but it's scattered and downplayed.
For the most part the human race seems to be facing its end like those stiff-upper-lip passengers on the Titanic.
Up in space, astronaut Spurgeon (what the heck kind of a name is that?) Tanner (Robert Duvall) and his team succeed only in splitting the seven-mile wide comet into two pieces, and both are still taking dead aim at Earth.
We're more than 100 minutes into this two hour drama before the audience gets what it has come to see. The smaller comet strikes in the Atlantic off the East Coast creating gigantic tidal waves that destroy every major American city from Boston to Atlanta.
But the filmmakers have been sabotaged in a sense by the studio. The scenes of the tidal wave hitting New York have been shown in television teasers for the movie so frequently that by the time they are seen on the big screen they have lost some of their awe. It is a case of familiarity breeding ennui. No pun intended, but they have lost their impact.
The performances in Deep Impact are inconsistent. Duvall is his usual low-key self, playing his heroics in a matter-of-fact professional manner. Freeman as the president brings a weight and authority to the role that makes him a most believable head of state.
Wood is exuberant as the youthful astronomer, but the subplot involving him, his girlfriend and their respective families seems a bit padded.
Leoni is sincere, but a bit lightweight for a TV anchor. And Oscar-winners Vanessa Redgrave and Maximillian Schell as her estranged parents are given very little to do.
This is the first of the summer's earth-meets-heavenly body disaster flicks. The second, Armageddon, opens July 1. Coming from producer Jerry Bruckheimer (The Rock, Con Air) and starring Bruce Willis, one can expect more pyrotechnics and machismo.
For now, though, we will have to settle for Deep Impact. It's a flawed feature with noble intentions.
Bob Bloom is the film critic at the Journal and Courier in Lafayette, Ind. He can be reached by e-mail at<EMAIL_ADDRESS>or at<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


Who is the best? And which Civs are the strongest?
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@(message: String) @Main("Home") {
was born in Long Beach, California, where he and his half-brother, Gordon, surfed SouthLaguna Beach. In 1959, Hamilton was riding a Hobie double-ender, anywhere from Rincon to Baja. Winning the Junior Division of theBrooks Street Classic in 1963 earned Hamilton membership into the prestigious Windansea Surf Club. He joined them for the annual Makaha Championships the following year. In 1966, he returned to Hawaii and was acknowledged as one of the most popular surfers around, placing sixth in the Surfer Poll. The young filmmaking duo of MacGillivray/Freeman chose him to co-star with Mark Martinson in two monumental films, Free and Easy andSunshine Sea. He placed second at both the Smirnoff and Duke, in 1970. But, family took priority and he soon left the scene behind.


Resume - Strand McCutchen
Strand McCutchen
109 12th Ave. E, Apt. 202, Seattle, WA 98102
<EMAIL_ADDRESS>·<PHONE_NUMBER>
Profile
I develop and teach with a focus on writing maintainable, flexible, and reusable code for web applications.
Work Experience
Software Engineer, Microsoft, starting October 2017
- Will build an open source tool to help teams more quickly mitigate outages by giving them intelligent guidance about what action they should take.
Senior Software Engineer, Roostify, May 2016 - October 2017
- Improved the consistency and quality of our API and its documentation.
- Worked directly with customer service to diagnose and resolve client issues.
- Independently developed a service to automate SFTP transfers from our core application to our client’s SFTP servers.
- Managed releases for our core application and services, ensuring that all requirements for release were met and that code was released on a regular cadence.
- Lead a team through implementing and deploying a web service using Sinatra, node/npm, and Casper/Phantom.js in my first three months. This service automated document retrieval from a third-party website without an API for our customers.
Senior Software Engineer, Instructure, November 2014 - March 2016
- Improved developer productivity and code quality with a focus on cross-team and cross-functional work.
- Mentored and advised team members on ways to improve the maintainability, flexibility, and reusability of code and specs through pairing and code review.
- Investigated ongoing issues in our legacy codebase by tracing the behavior through the stack, reading code and specs, and interviewing other engineers.
- Wrote well-tested, comprehensible, and maintainable code to resolve issues and build features. Reused others’ code and wrote code for reuse.
Teacher, Dev Bootcamp, December 2013 - November 2014
Teaching Assistant, September 2013 - December 2013
- Taught problem solving and critical thinking skills related to software development.
- Facilitated exercises which provided students experience with building software as a team.
- Wrote curriculum for students to practice specific technologies, problem solving skills, and building web applications.
- Advised students with issues related to team dynamics and technical decisions.
- Provided feedback on code written by students.
- Promoted from TA to Teacher after an initial 3-month contract lead to a full time role.
Consultant, Northwest Independent Ruby Development, January 2013 - July 2013
- Developed Rails and Sinatra sites for clients.
- Wrote and refactored readable and maintainable code in Ruby and JavaScript.
- Administered remote Linux systems using Capistrano and ssh.
- Taught programming, problem solving, and troubleshooting skills.
Web Developer, Contour, April 2012 - December 2012
- Wrote and refactored readable and maintainable code for a Ruby on Rails site.
- Improved the style and behavior of Contour.com.
- Developed features which interact with social networks and internal APIs.
- Deployed updates and hotfixes to our Heroku-based site.
Education
Certificate in Ruby Programming
The University of Washington, completed June 2013
Bachelor of Arts in English: emphasis in Creative Writing
The University of Puget Sound, graduated August 2004


The YouTube Data API requires users to authorize sites to use their account for some functions. The search feature on this site is one of those functions. YouTube may require this for several reasons, user security and monitoring use of their API being some of the possibilities.
Manage my account? What does this mean?
The YouTube Data API has many features that one can use with their account, such as uploading videos, doing resumable uploads and creating playlists. However, these are only possibilities, if a site were created to do these functions. AMVgenerator is not able to change your account settings, access your information, or upload videos.
So what does AMVgenerator do in terms of my account?
You will see the videos searched for in your history, as well as the videos for the songs. That’s it!
Still unsure? You can check out all my code on github! And when you're done using the site, you can remove its permissions in your Google account settings


Teamshare is a decentralized filesharing application with emphasis on privacy, security and portability.
With Teamshare you can:
No centralized server stores your data because synchronization is performed by using peertopeer technology for each group. All communication is secured and data is locally stored in an encrypted format.
We aim to enhance the current design with a decentralized team management layer, which is responsible for storing team (group) mappings to users and their devices (desktops, laptops, tablets, phones etc.).
For this purpose we plan to employ Apache Zookeeper, a highly reliable distributed coordination system. Using this system as a library we will be able to support the following features with a consistent view on all devices:
Required knowledge
Skill level: Intermediate.
Building a decentralized filesharing system requires rigorous testing and benchmarking over multiple devices. For such testing scenarios libraries like JUnit are not suited.
We aim to implement a testing and benchmarking service which receives logging information over the network and performs synchronization check and measures performance metrics for each device.
The intern will work with the following tools and technologies:
Required knowledge
Skill level: Beginner.


{% extends "base.html" %} {% block pagetitle %}Brian R. Bondy - About{% endblock %} {% block title %} About {% endblock %} {% block subtitle %}My story so far...{% endblock %} {% block body_id %}body_about{% endblock %} {% block main_content %}
I live in Windsor, Ontario, Canada where I lived (other than University) since I was born on March 01, 1981.
I spend most of my time reading various books, programming, and doing work. My greatest fields of interest are P2P, digital image processing, number theory, compression, and changing diapers.
I am a primarily a C++, C#, Python, and JavaScript software developer.
Other than work and geek things, I also spend a lot of time with my wife Shannon, and 3 sons: Link, Ronnie, and Asher.
I used to work full time on Mozilla's Fireofx browser (2011-2014), I remain a Mozilla community member and contributor (Mozillian)
As of April 21, 2014 I work full time for an amazing company called Khan Academy.


npm i tshtml tshtml-loader
tshtml-file is a TypeScript template that emits HTML code during build-time. The simplest one could look like this:
// test.tshtml
export default `<p>Hello world!</p>`;
Obviosly this does not differ much from a static HTML file with the same paragraph. But now you can start write code in the template, just like this:
export default `

Hello world!

Build time is ${Date()}.
`;
This code is executed at build time, and only the resulting HTML will be fed to Angular. This way we produce just the same fast Angular templates, but with help of possible very sophisticated code in tshtml. So, it's a lovely little metaprogramming: code that creates code.
You can write helper functions to extract repetitive patterns of template code, import constants and static data structures used at run time to generate some template elements out of them, and also create templates that inherit other templates. The latter is very handy when you have Angular components derived from some base components.
Combining HTML by hands is not very pleasant task. You must ensure that it is well-formed so usually it requires more efforts than just to concatenate strings together.
To simplify this task we created html
function. It parses the text into a
tree of node-like objects that can be later serialized to a well-formed HTML.
Since the tree is just a graph of plain JavaScript objects, you can update it:
change attributes, add new children and so on.
The simplest example with html
added looks basically the same:
import { html } from "tshtml";
export default html`<p>Hello world!</p>`;
Let's combine two HTML trees together:
import { html } from "tshtml";
const buildTime = html`<p>Build time is ${Date()}.</p>`;
// Resulting tree has buildTime subtree inserted at the appropriate place
const res = html`

Hello world!

${buildTime}`;
// Tree of template elements will be converted to string by the loader
export default res;
Here builtTime
is not a string, it's an object, but you can still use standard
template string placeholder syntax to combine HTML fragments together.
The tree can be manipulated using methods of TemplateItem
class.
import { htmlEl } from "tshtml";
const res = htmlEl`<p>Hello world!</p>`;
// Add an attribute
res.attrs( { "color": "red } );
export default res;
First, configure Angular build as described here: https://codeburst.io/customizing-angular-cli-6-build-an-alternative-to-ng-eject-a48304cd3b21
For that you need to install necessary packages:
npm install @angular-devkit/build-angular --save-dev
npm install @angular-builders/custom-webpack --save-dev
Add "architect" section to the "angular.json" if it is not already there. Change builder configuration and specify the name of additional webpack config file:
"architect": {
"build": {
"builder": "@angular-builders/custom-webpack:browser",
"options": {
"customWebpackConfig": {
"path": "./extra-webpack.config.js",
"replaceDuplicatePlugins": true
},
...
Add extra-webpack.config.js
:
module.exports = {
module: {
rules: [
{
test: /\.tshtml$/,
use: ["tshtml-loader"],
enforce: "pre"
},
]
}
};
You also need to have "tshtml" and "tshtml-loader" packages in your project.
Finally you just use tshtml-files instead of html-files in your Angular components.
In tshtml folder:
npm run test
npm run build
If you need to debug the tests, then you can do the following:
In the console where you are going to execute tests set environment variable:
set-item env:NODE_OPTIONS "--inspect"
Configure you debugger to attach to Node.js at port 9229. Start the debugger
Start test: node ./test/jasmine "TEST NAME"
In tshtml-loader folder:
npm run build
Generated using TypeDoc


Story Views
Name
Description
View
Story Maps
A view on the story maps generated for the configured meta filters and stories
html
Story Reports
A view on the story reports generated when running the stories
html


[1]
Quality, picture, size; Shiny exterior
[2]
Excellent HD performance; Mediocre SD performance
[3]
2 DirecTV receivers, an upconvert DVD player, A Vista Ultimate PC; None so far


Class BaseMixedRealitySpatialMeshObserverProfile
Inheritance
BaseMixedRealitySpatialMeshObserverProfile
Inherited Members
Namespace: XRTK.Providers.SpatialObservers
Assembly: XRTK.dll
Syntax
public class BaseMixedRealitySpatialMeshObserverProfile : BaseMixedRealitySpatialObserverProfile
Properties
| Improve this Doc View SourceAdditionalComponents
Additional Components to add to the generated spatial mesh GameObjects
Declaration
public SystemType[] AdditionalComponents { get; }
Property Value
| Type | Description |
|---|---|
| SystemType[] |
MeshLevelOfDetail
The desired Unity Physics Layer on which to set the spatial mesh.
Declaration
public SpatialAwarenessMeshLevelOfDetail MeshLevelOfDetail { get; }
Property Value
| Type | Description |
|---|---|
| SpatialAwarenessMeshLevelOfDetail |
MeshObjectPrefab
Prefab to use for Object Pool instead of generated mesh object.
Declaration
public GameObject MeshObjectPrefab { get; }
Property Value
| Type | Description |
|---|---|
| GameObject |
MeshOcclusionMaterial
The material to be used when spatial meshes should occlude other objects.
Declaration
public Material MeshOcclusionMaterial { get; }
Property Value
| Type | Description |
|---|---|
| Material |
MeshRecalculateNormals
Indicates if the spatial awareness system to generate normal for the returned meshes as some platforms may not support returning normal along with the spatial mesh.
Declaration
public bool MeshRecalculateNormals { get; }
Property Value
| Type | Description |
|---|---|
| Boolean |
MeshVisibleMaterial
The material to be used when automatically displaying spatial meshes.
Declaration
public Material MeshVisibleMaterial { get; }
Property Value
| Type | Description |
|---|---|
| Material |


{% include meta.html %}
{{ site.title }} {% include svg-icons.html %}
{{ site.description }}
Blog
About
Support This Site
{{ content }}
{% include analytics.html %}


Welcome to the Vetro FiberMap Style Guide
Some Other Helpful Resources
Welcome to the Vetro FiberMap Style Guide
Some Other Helpful Resources
Thoughts on Buttons
- Try to limit the number of different colored buttons that we are using. While Bootstrap does provide us with contentual classes for states info, success, warning, these states are not easily interpreted and confuse the site's color pallet.
- All buttons should have at minimum
btn
andbtn-{default, primary, etc.}
classes


Stay active and enjoy!
Find your people with same passion!


Patient Registration
HygeaHealth+
Patient ID
First Name
Last Name
Date of Birth
Age
Sex
Address
Pincode
Blood Group
Phone Number
Marital Status
Register
Back to Homepage


{{ job.title }}
{{ job.where }},{{ job.what }}
--- layout: layout ---
{{ job.what }}
{{ school.thesis }}
|
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{{ language.name }} |
|
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Flexible | Run multiple sliders on the same web page
Touch Enabled | Hardware accelerated using CSS3 for supported iOS, Android and WebKit
Animate | Add your own JavaScript to maximize your slider
Customize | Settings for momentum, elastic, scrollbars and more...
Flexible | Run multiple sliders on the same web page
Touch Enabled | Hardware accelerated using CSS3 for supported iOS, Android and WebKit
Animate | Add your own JavaScript to maximize your slider
Customize | Settings for momentum, elastic, scrollbars and more...
Flexible | Run multiple sliders on the same web page
Touch Enabled | Hardware accelerated using CSS3 for supported iOS, Android and WebKit
Animate | Add your own JavaScript to maximize your slider
Customize | Settings for momentum, elastic, scrollbars and more...


Session Tracker
User Agent ID:
{{ user_agent_id | e }}
Client ID:
www
www2
Create Session
{% if logout_uri and username %}
Logout
Logged in as {{ username }} {% endif %} {% if delegations %}
Delete All & Logout
{% endif %}
{% if delegations %}
#
User
Client
Delegation ID
SCIM Resource ID
Expiration Time
Actions
{% for delegation in delegations %}
{{ loop.index }}
{{ delegation.sub }}
{{ delegation.clientId }}
{{ delegation.externalId }}
{{ delegation.id }}
{{ delegation.exp | datetime }}
Actions
Delete
Introspect
Refresh
{% endfor %}
{% endif %}
Results
Some text inside the toast body


'Make us title challengers' - Man United fans respond to Mauricio Pochettino reports
The Spurs boss has been linked with Manchester United in the past
by Andy HaManchester United fans took to social media to respond to reports that Mauricio Pochettino is under increasing pressure to save his job at Tottenham Hotspur.
Pochettino has repeatedly been linked with a move to Old Trafford, but signed a new five-year deal at Tottenham in 2018 to seemingly quash any prospect of a move to Manchester.
However, Spurs have endured a poor start to the season, amid a backdrop of player unrest and frustration from Pochettino at a perceived lack of backing in the summer transfer window.
And the negativity has spilled onto the pitch where Tottenham sit 14th after a series of poor performances in the Premier League, the latest of which saw Spurs fortunate to draw against Sheffield United at the weekend.
After the 1-1 draw, Pochettino said: "We are disappointed because we knew we were going to find a team who would be aggressive and very energetic, well organised.
"This is the worst opponent you can have when you come to play from Wednesday in the Champions League, a very long way.
"I am disappointed because in the moment we broke them down to go and lead 1-0 in the second half, not keeping that advantage or scoring the second goal in that moment when we dominated the game.
"We feel so disappointed, I don't know the word to use. Upset or frustrated, but it is not a happy feeling."
According to The Telegraph, Pochettino is heading towards the point of 'no return' in north London, as fears grow that the Argentinian will not be able to turn Spurs' fortunes around.
Tottenham face fierce rivals West Ham after the international break, a game which could prove decisive for Pochettino's future.
The report claims Spurs could turn to Massimiliano Allegri or Jose Mourinho if they were to appoint a replacement mid-season, but making a change at the end of the campaign could see Daniel Levy target Bournemouth’s Eddie Howe, RB Leipzig’s Julian Nagelsmann, or England manager Gareth Southgate.
If Pochettino does leave Spurs, the 47-year-old will reportedly have no lack of suitors with Manchester United and Real Madrid still big admirers.
United fans took to social media to voice their opinion on whether Pochettino would be a good fit at Old Trafford.


(a) The contracting officer shall insert a listing of the Government property to be offered in all solicitations where Government-furnished property is anticipated (see 45.102). The listing shall include at a minimum—
(1) The name, part number and description, manufacturer, model number, and National Stock Number (if needed for additional item identification tracking and management, and disposition);
(2) Quantity/unit of measure;
(3) Unit acquisition cost;
(4) Unique-item identifier or equivalent (if available and necessary for individual item tracking and management); and
(5) A statement as to whether the property is to be furnished in an “as-is” condition and instructions for physical inspection.
(b) When Government property is offered for use in a competitive acquisition, solicitations should specify that the contractor is responsible for all costs related to making the property available for use, such as payment of all transportation, installation or rehabilitation costs.
(c) The solicitation shall describe the evaluation procedures to be followed, including rental charges or equivalents and other costs or savings to be evaluated, and shall require all offerors to submit the following information with their offers—
(1) A list or description of all Government property that the offeror or its subcontractors propose to use on a rent-free basis. The list shall identify the accountable contract under which the property is held and the authorization for its use (from the contracting officer having cognizance of the property);
(2) The dates during which the property will be available for use (including the first, last, and all intervening months) and, for any property that will be used concurrently in performing two or more contracts, the amounts of the respective uses in sufficient detail to support prorating the rent;
(3) The amount of rent that would otherwise be charged in accordance with FAR 52.245-9, Use and Charges; and
(4) A description of the offeror's property management system, plan, and any customary commercial practices, voluntary consensus standards, or industry-leading practices and standards to be used by the offeror in managing Government property.
(d) Any additional instructions to the contractor regarding property management, accountability, and use, not addressed in FAR clause 52.245-1, Government Property, should be specifically addressed in the statement of work on the contract providing property or in a special provision.
(a) The contracting officer shall consider any potentially unfair competitive advantage that may result from an offeror or contractor possessing Government property. This shall be done by adjusting the offers by applying, for evaluation purposes only, a rental equivalent evaluation factor as specified in FAR 52.245-9.
(b) The contracting officer shall ensure the offeror’s property management plans, methods, practices, or procedures for accounting for property are consistent with the requirements of the solicitation.


Inspired by our Mother, Gulabben Gangji Maicha, in 1970 celebrating, Navratri with Garba and Dandiya Raas at her residence in Southall. The event was so popular that within a couple of days the back garden was too small.
A suitable hall, The New Hall, located on the High Street, Southall was found and thus the beginning of “Navratri Garba”. Everyone, irrelevant of Cast, Creed or Background was welcome. The Navratri celebrations took place in various locations including Southall, Hayes and Perivale until finally moving to the Arya Samaj, Argyle Road in 1993. The Arya Samaj became a place for Navratri Celebrations for years.
The funds and donations collected were distributed to other Charities in the aid of free food distribution, BBC children in need, Blue Peter water appeal, Cry with Children, British Heart Foundation, Animal sanctuaries, free medicines to the poor, National Asthma Campaign, Mental Health Foundation, Cancer Research UK, Tuberous Sclerosis Asso. British Red Cross, British Diabetics Asso. Etc. Donations were made in UK and overseas where help was required.
After the earthquake in Kutch, where our services and donations helped several hundred, we became a registered charity. This was the starting point and we have not looked back ever since. We committed ourselves to helping out wherever we could and raised funds to various disasters. This was the time when we decided to open a Mataji temple so that people from all walks of life could benefit from it, meet and make friends, take part in festival celebrations, participate in prayers and Havans and enjoy free activities and food from time to time.
Whilst our charity work continues, we are looking to extend the temple. The temple alone will be a sanctuary where people will achieve piece tranquillity and happiness. There will be an opportunity for people to learn, meet other people and socialise.
The temple will also contain a library with books of Vedas, Purans, Upanishads, Bhajans and a vast range of other interesting books for the benefit of visitors and have a reading room.
It is also hoped that there will be language classes in Gujarati, Hindi and Sanskrit for children as well as adults and English for adults and children who wish to participate.
These social gatherings are very important not only for reasons mentioned above but for the up keep of our old values and traditions for the future generations in learning from the various cultural activities and programmes. We will organize talks on subjects such high blood pressure, diabetics, first aid etc and also hold bhajans, show films, entertain and serve meals on a regular basis.
The mandir will be a sanctuary where people can come to try to solve their problems and/or share their views and have pleasant, stimulating and friendly debates/discussions. Lonely elderly people can come for their meals as an alternative to having meals on wheels.
The temple will also have a temporary guest room for people from overseas to stay if they have nowhere else to stay. The temple will also be publishing a quarterly newspaper, for the benefit of members both in UK and overseas.


Concierge AI
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Planetoids is an open-source game written in Scala, Java and JavaScript
This game was written as an experiment on using WebSockets
The source code is available on the planetoids GitHub page
The images used in the game are used under Creative Commons license - attribution follows:
Sounds created using an Access Virus TI Snow synth
Planetoid is actually a real word, synonymous with asteroid


Id: 399
Name: Tiny-persons advocacy group lawyer
Status: Alive
Species: Humanoid
Type: Giant
Gender: Male
OriginName: Giant's Town
OriginUrl: https://rickandmortyapi.com/api/location/14
LocationName: Giant's Town
LocationUrl: https://rickandmortyapi.com/api/location/14
Image: https://rickandmortyapi.com/api/character/avatar/399.jpeg
Episode: ['https://rickandmortyapi.com/api/episode/5']
Url: https://rickandmortyapi.com/api/character/399
Created: 2018-04-15T17:34:02.076Z


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Bevy OFFICIAL SHOWCAse
breakout
breakout 2
breakout 3
breakout IV
breakout 3 deluxe


{% extends "base_generic_hero.html" %} {% block title %}
The database has the following record counts:
You have visited this site {{ num_visits }} {% if num_visits == 1 %}time {% else %} times {% endif%}


This tutorial walks you through building a simple widget
that listens for changes in the browser location hash
and updates the content of the page. It demonstrates how to make
a site Google crawlable and searchable.
The App
We'll make a mini app that updates the contents of page with an
Ajax request when a user clicks on a navigation link. Then, we'll make this searchable
with the ajaxy/scripts/crawl.js script.
The crawl script generates html pages that Google can use as a representation
of the content of an Ajax application. Read Google's documentation on its
Ajax crawling API
before continuing this tutorial.
In the generated ajaxy folder, you'll find ajaxy.html
and ajaxy.js. We'll add a content area
and few links to
ajaxy.html. When we click on links,
we'll make ajaxy.js load content into
the content area.
Notice that the page includes a <meta name="fragment" content="!">
tag. This tells to Google to process ajaxy.html as having Ajax content.
Next, add some content to show when these links are clicked. Put the following content
in each file:
ajaxy/fixtures/articles.html

Articles

Some articles.

ajaxy/fixtures/images.html

Images

Some images.

ajaxy/fixtures/videos.html

Videos

Some videos.

Finally, change ajaxy.js to look like:
steal('jquery',
'can/construct/proxy',
'can/control',
'can/route',
'steal/html',
function($, can){
var Ajaxy = can.Control({
"{route} change" : function(route, ev){
this.updateContent(route.page)
},
updateContent : function(hash){
// postpone reading the html
steal.html.wait();
$.get("fixtures/" + hash + ".html", {}, this.proxy('replaceContent'), "text")
},
replaceContent : function(html){
this.element.html(html);
// indicate the html is ready to be crawled
steal.html.ready();
}
})
new Ajaxy('#content', { route: can.route(":page", { page: "videos" }) });
});
When a route ("{route} change") event occurs, Ajaxy
uses the route.page value to make a
request ($.get)
for content in thefixtures folder. For more information
on routing, visit can.route.
When the content is retrieved, it replaces the element's
html (this.element.html(...)).
Ajaxy also calls updateContent to load content when
the page loads initially.
Crawling and scraping
To crawl your site and generate google-searchable html, run:
Adds any links in the page that start with #! to be indexed
Changes the url hash to the next index-able page
Goto #2 and repeats until all pages have been loaded
Pausing the html scraping.
By default, the contents are scraped immediately after the page's scripts have loaded or
the route has changed. The Ajax request for content
happens asynchronously so we have to tell steal.html to wait to scrape the content.
To do this, Ajaxy calls:
steal.html.wait();
before the Ajax request. And when the page is ready, Ajaxy calls:
When google wants to crawl your site, it will send a
request to your page with _escaped_fragment=.
When your server sees this param, redirect google to the generated html page. For example, when the Google Spider requests http://mysite.com?_escaped_fragment=val, this is its attempt to crawl http://mysite.com#!val. You should redirect this request to http://mysite.com/html/val.html.
Yes, it's that easy!
Phantom for Advanced Pages
By default the crawl script uses EnvJS to open your page and build a static snapshot. For some pages, EnvJS won't be powerful enough to accurately simulate everything. If your page experiences errors, you can use PhantomJS (headless Webkit) to generate snapshots instead, which may work better.
This tutorial walks you through building a simple widget that listens for changes in the browser location hash and updates the content of the page. It demonstrates how to make a site Google crawlable and searchable.
The App
We'll make a mini app that updates the contents of page with an Ajax request when a user clicks on a navigation link. Then, we'll make this searchable with the
ajaxy/scripts/crawl.js
script.The crawl script generates html pages that Google can use as a representation of the content of an Ajax application. Read Google's documentation on its Ajax crawling API before continuing this tutorial.
Setup
Download and install the latest version of JavaScriptMVC.
After installing JavaScriptMVC, open a command line to the steal.config.root folder (where you unzipped JavaScriptMVC).
We'll use the application generator to generate an application skeleton folder. Run:
The Code
In the generated ajaxy folder, you'll find
ajaxy.html
andajaxy.js
. We'll add a content area and few links toajaxy.html
. When we click on links, we'll makeajaxy.js
load content into the content area.Change
ajaxy.html
so it looks like:Notice that the page includes a
<meta name="fragment" content="!">
tag. This tells to Google to processajaxy.html
as having Ajax content.Next, add some content to show when these links are clicked. Put the following content in each file:
ajaxy/fixtures/articles.html
ajaxy/fixtures/images.html
ajaxy/fixtures/videos.html
Finally, change
ajaxy.js
to look like:When a route (
"{route} change"
) event occurs, Ajaxy uses theroute.page
value to make a request ($.get
) for content in thefixtures
folder. For more information on routing, visit can.route.When the content is retrieved, it replaces the element's html (
this.element.html(...)
).Ajaxy also calls
updateContent
to load content when the page loads initially.Crawling and scraping
To crawl your site and generate google-searchable html, run:
This script peforms the following actions:
Pausing the html scraping.
By default, the contents are scraped immediately after the page's scripts have loaded or the route has changed. The Ajax request for content happens asynchronously so we have to tell steal.html to wait to scrape the content.
To do this, Ajaxy calls:
before the Ajax request. And when the page is ready, Ajaxy calls:
Getting Google To Crawl Your Site
If you haven't already, read up on Google's Ajax crawling API.
When google wants to crawl your site, it will send a request to your page with
_escaped_fragment=
.When your server sees this param, redirect google to the generated html page. For example, when the Google Spider requests
http://mysite.com?_escaped_fragment=val
, this is its attempt to crawlhttp://mysite.com#!val
. You should redirect this request tohttp://mysite.com/html/val.html
.Yes, it's that easy!
Phantom for Advanced Pages
By default the crawl script uses EnvJS to open your page and build a static snapshot. For some pages, EnvJS won't be powerful enough to accurately simulate everything. If your page experiences errors, you can use PhantomJS (headless Webkit) to generate snapshots instead, which may work better.
To turn on Phantom:


SILENT TONGUE (director/writer: Sam Shepard; cinematographer: Jack Conroy; editor: Bill Yahraus; cast: Richard Harris (Prescott Roe), Sheila Tousey (Awbonnie/Ghost), Alan Bates (Eamon McCree), River Phoenix (Talbot Roe), Dermot Mulroney (Reeves McCree), Jeri Arredondo (Velada McCree), Tantoo Cardinal (Silent Tongue); Runtime: 101; Canal Plus/Belbo/Alive Films; 1993)
Reviewed by Dennis Schwartz
Playwright and actor, Sam Shepard, writes and directs a strangely intriguing art-house Western about the ill-fated clash between European and Native American cultures that came with Western expansion. It plays more like a theatrical ghost story or a Greek tragedy than a Western. It is set in 1873, in the plains of New Mexico, where a quack, alcoholic, cowardly, thickly Irish brogue-talking professor, Eamon McCree (Alan Bates), runs the Kickapoo Traveling Medicine Show, with his despondent son Reeves (Mulroney) as his assistant.
Eamon raped an Indian woman (Tantoo Cardinal), who was made mute by her Kiowa tribe and left alone in the wilderness. She gave birth to twin girls, Awbonnie (Sheila Tousey) and Velada (Jeri Arredondo). Out of a sense of guilt he marries her and raises the girls as his own, unaware of the avenging anger Silent Tongue had for him.
When Prescott Roe (Richard Harris), a horse-swapper by trade, offered Eamon three horses for the now fully grown, beautiful Awbonnie, so that his unbalanced son, Talbot (River Phoenix), can have a wife to comfort him, Eamon accepted the offer since he needed the horses at the time. During childbirth, Awbonnie died along with the child, and Prescott's son has become completely deranged with her loss, while the ghost of Awbonnie torments him further and curses him for having his father buy her, as he converses with her ghost, refusing to leave the sight of the dead body.
As the film opens, the tormented Prescott, willing to do anything he can to save his son, returns to see Eamon to purchase his other half-breed daughter thinking he can restore his son's sanity with her as a replacement. But Reeves strongly objects and because of that Eamon changes his mind about the sale, which prompts Prescott to kidnap Velada.
 When Father and son go to retrieve Velada, the carnival people pack up their equipment and flee without their leader, prepared to carry on the show without him.
Silent Tongue's call for vengeance is being carried out by Awbonnie as a ghost and as a buzzard, as she is also the ghost that trails Prescott to torment him as he brings Velada to his son.
Harris gives a stately performance of a father who doesn't know what else he can do for his son.  Bates says things that shows his disdain for them as heathens, such as: "Indians are born to suffer." In River Phoenix' penultimate role, he mainly babbles and has no chance to show his skills as an actor. Tantoo Cardinal has a minor part, even though the film is theoretically about her, as the film's title states. What becomes overwhelming is the open and spacious landscape, a perfect breeding ground for violence and insanity. It's a film that revels in a dark brooding mystical flavor and of being a revisionist-type of a Western rather than one of those traditional oaters. Unfortunately, the film never held together in a cohesive way, and seemed forced and awkward at times. It should satisfy mostly those who are in need to see something different, something that is cultish and attuned to Sam Shephard's penchant for showing dysfunctional families.
REVIEWED ON 2/5/2001 GRADE: C+
Dennis Schwartz: "Ozus' World Movie Reviews"
http://www.sover.net/~ozus
<EMAIL_ADDRESS>© ALL RIGHTS RESERVED DENNIS SCHWARTZ
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


Apple supplier Japan Display says executive embezzled $5.25 million
TOKYO (Reuters) - Japan Display Inc said on Thursday it dismissed an accounting executive last year for embezzling about $5.3 million over four years since the Apple Inc supplier went public in 2014.
JDI said in a statement it had filed a criminal complaint against the former employee and that it was cooperating with police. The embezzlement was first reported by the Asahi newspaper on Thursday.
The employee had defrauded the company of about 578 million yen ($5.3 million) between July 2014 and October 2018 by arranging for payments to be made to a fictitious company, JDI said.
The revelation comes as the cash-strapped company is scrambling to clinch a bailout deal with Apple and other investors, seeking to raise at least 50 billion yen.
The liquid crystal display (LCD) maker for smartphones has been losing money for the past five years and last week reported its 11th consecutive quarterly net loss on sluggish display sales and restructuring costs.


PRONTO PLUS LICE KILLING- pyrethrum extract and piperonyl butoxide shampoo
Insight Pharmaceuticals LLC
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
Lice Killing Shampoo with Extracts
Active ingredients
Pyrethrum extract (pyrethrins 0.33%) with piperonyl butoxide 4%
Uses
treats head, pubic (crab) and body lice
Warnings
For external use only
Do not use
- near eyes
- inside nose, mouth or vagina
- on lice in eyebrows or eyelashes. See a doctor if lice are present in these areas.
Ask a doctor before use if you are
- allergic to ragweed. May cause breathing difficulty or an asthmatic attack.
When using this product
- keep eyes tightly closed and protect eyes with a washcloth or towel
- if product gets in eyes, flush with water right away
- scalp itching or redness may occur
Stop use and ask a doctor if
- breathing difficulty occurs
- eye irritation occurs
- skin or scalp irritation continues or infection occurs
Keep out of reach of children.
- If swallowed, get medical help or contact a Poison Control Center right away.
Directions
Important: Read warnings before use.
-
Adults and children 2 years of age and over:
Inspect
- check each household member with a magnifying glass in bright light for lice and nits
- look for tiny nits near scalp, beginning at back of neck and behind ears
- examine small sections of hair at a time
- unlike dandruff which moves when touched, nits stick to the hair
- if either lice or nits are found, treat with this product
Treat
- shake bottle well
- apply thoroughly to dry hair or other affected area. For head lice, first apply behind ears and to back of neck.
- allow product to remain for 10 minutes, but no longer
- use warm water to form a lather, shampoo, then thoroughly rinse
- for head lice, towel dry hair and comb out tangles
Remove lice and nits
- use a fine-tooth or special lice/nit comb. Remove any remaining nits by hand (using a throw-away glove).
- hair should remain slightly damp while removing nits
- if hair dries during combing, dampen slightly with water
- for head lice, part hair into sections. Do one section at a time starting on top of head. Longer hair may take 1 to 2 hours.
- lift a 1- to 2- inch wide strand of hair. Place comb as close to scalp as possible and comb with a firm, even motion away from scalp.
- pin back each strand of hair after combing
- clean comb often. Wipe nits away with tissue and discard in a plastic bag. Seal bag and discard to prevent lice from coming back.
- after combing, thoroughly recheck for lice and nits. Repeat combing if necessary.
- check daily for any lice and nits that you missed
- a second treatment must be done in 7 to 10 days to kill any newly hatched lice
- if infestation continues, see a doctor for other treatments
-
Children under 2 years of age: ask a doctor
Other Information
HEAD LICE: lay small white eggs (nits) on hair shaft close to scalp
- nits are most easily found on back of neck or behind ears
- disinfect hats, hair ribbons, scarves, coats, towels, and bed linens by machine washing in hot water [above 54°C (130°F)], then using hottest dryer cycle for at least 20 minutes
- items that cannot be washed (bedspreads, blankets, pillows, stuffed toys, etc.) should be dry-cleaned or sealed in a plastic bag for 4 weeks, then removed outdoors and shaken out very hard before using again
- items that cannot be washed, dry-cleaned, or stored may be sprayed with a product designed for this purpose
- allow all sprayed articles to dry thoroughly before use
- soak all combs and brushes in hot water [above 54°C (130°F)] for at least 10 minutes
- vacuum all carpets, mattresses, upholstered furniture, and car seats that may have been used by affected people
Keep carton for full drug facts and warnings. Read all warnings and directions before use.
- visit our website at www.insightpharma.com
Inactive Ingredients
cananga odorata flower oil, chamomilla recutita (matricaria) flower extract, fragrance, melaleuca alternifolia (tea tree) leaf oil, PEG-45 palm kernel glycerides, pimpinella anisum (anise) fruit extract, propylene glycol, water, sodium laureth sulfate.
Questions?
call 1-888-542-3546
Distributed by:
INSIGHT Pharmaceuticals Corp.
1170 Wheeler Way
Langhorne, PA 19047-1749
PRINCIPAL DISPLAY PANEL - Kit Carton
PRONTO®
PLUS
Complete Lice Removal System
3-STEP LICE ELIMINATION KIT
- 1
- LICE KILLING SHAMPOO WITH EXTRACTS
Pyrethrum extract (pyrethrins 0.33%) with piperonyl butoxide 4% (Lice treatment)
- —
- MAXIMUM STRENGTH LICE KILLING INGREDIENT TO KILL LICE & NITS (their eggs)
- —
- CONTAINS CHAMOMILE, ANISE, YLANG YLANG OIL & TEA TREE OIL
- —
- LEAVES NO CHEMICAL RESIDUE BEHIND
- 2
- LICE EGG REMOVER GEL AND COMB
- —
- GEL MAKES LICE NIT (EGG) REMOVAL EASIER THAN
LICE KILLING SHAMPOO ALONE
- —
- INCLUDES NIT REMOVAL COMB
- 3
- PRONTO® PLUS HOUSEHOLD SPRAY KILLS
LICE, TICKS, FLEAS, DUST MITES & BEDBUGS
- —
- Kills Adult Lice & Nymphs as They Hatch on Bedding, Garments, Furniture and Other Inanimate Objects
CAUTION: KEEP OUT OF REACH OF CHILDREN
See Back/Side Panel For Additional Precautions And First Aid
SHAMPOO 2 FL OZ (59 mL), GEL 2 FL OZ (59 mL), COMB, GLOVES, SPRAY 5 OZ (142 g)


This is a simple test case for an issue I'm running into with Stencil's virtual DOM implementation and nested slots when not using Shadow DOM. Here's the issue I'm running into:
The "Slot" h1
should come after the "State: true" text.
When the state is updated (using the button) it will switch to the correct order.
I originally ran into this in a more complex component. When the slots were re-ordered it would reload iframes breaking video playback.


10 graphic design paradoxes - though I can't see anything here which only applies to graphic design, all good stuff
dominant UI metaphors and how we might escape them: "It seems a bit fatalistic, but I can’t think of a way that the entire desktop metaphor can be overhauled without either everyone in the world switching over at once (which won’t happen), or becoming a “data island” like the Newton or Classic Mac OS.". I've just read Geeks Bearing Gifts by Ted Nelson, who's wonderfully annoyed at the universal adoption of UIs from Xerox PARC: more metaphors, now!


This site used to be a school project, I'll slowly transform it into my personal website, but for now it's a WIP.
This website is based on Bootstrap and one of publicly available templates I got inspired by.
Learn more about meMy name is Zdeněk, I'm 21 years old, I'm a student at University of Ostrava. I live in Frýdek-Místek district in a family house.
My computer has i7-8700k overclocked to 5 GHz. 16 Gb of RGB ram..
RGB is important!
GPU needs an update, it's old-ish MSI GTX 970.
I'm curently learning Java and C#. I can also create websites using HTML, CSS, and some JavaScript. Unity is my future plan to improvefurther.
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My car is Volkswagen Golf IV 1.8T. Full LED, otherwise stock.
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Get emailed PDFS and online custom reports for your bookings or client lists. No limits, no sharing. Everything on your booking system is yours to keep
It's all designed for the user, accessible from any device Reserved is easy, safe and fast.
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PUT /setup/api/settings
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settings |
string |
Required. A JSON string with the new settings. Note that you only need to pass the specific settings you want to modify. |
curl -L -X PUT 'https://api_key:your-amazing-password@hostname:admin_port/setup/api/settings' --data-urlencode "settings=`cat /path/to/settings.json`"
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ZOJ Problem Set - 2156
Charlie is a driver of Advanced Cargo Movement, Ltd. Charlie drives a lot and so he often buys coffee at coffee vending machines at motorests. Charlie hates change. That is basically the setup of your next task. Your program will be given numbers and types of coins Charlie has and the coffee price. The coffee vending machines accept coins of values 1, 5, 10, and 25 cents. The program should output which coins Charlie has to use paying the coffee so that he uses as many coins as possible. Because Charlie really does not want any change back he wants to pay the price exactly.
Input SpecificationEach line of the input contains five integer numbers separated by a single space describing one situation to solve. The first integer on the line P, 1 P 10 000, is the coffee price in cents. Next four integers, C1, C2, C3, C4, 0 Ci 10 000, are the numbers of cents, nickels (5 cents), dimes (10 cents), and quarters (25 cents) in Charlie's valet. The last line of the input contains five zeros and no output should be generated for it.
Output SpecificationFor each situation, your program should output one line containing the string "Throw in T1 cents, T2 nickels, T3 dimes, and T4 quarters.", where T1, T2, T3, T4 are the numbers of coins of appropriate values Charlie should use to pay the coffee while using as many coins as possible. In the case Charlie does not possess enough change to pay the price of the coffee exactly, your program should output "Charlie cannot buy coffee.".
Sample Input12 5 3 1 2 16 0 0 0 1 0 0 0 0 0
Sample OutputThrow in 2 cents, 2 nickels, 0 dimes, and 0 quarters. Charlie cannot buy coffee.
Source: Czech Technical University Open 2003 |


Dynamic factors and coincident indices¶
Factor models generally try to find a small number of unobserved “factors” that influence a substantial portion of the variation in a larger number of observed variables, and they are related to dimension-reduction techniques such as principal components analysis. Dynamic factor models explicitly model the transition dynamics of the unobserved factors, and so are often applied to time-series data.
Macroeconomic coincident indices are designed to capture the common component of the “business cycle”; such a component is assumed to simultaneously affect many macroeconomic variables. Although the estimation and use of coincident indices (for example the Index of Coincident Economic Indicators) pre-dates dynamic factor models, in several influential papers Stock and Watson (1989, 1991) used a dynamic factor model to provide a theoretical foundation for them.
Below, we follow the treatment found in Kim and Nelson (1999), of the Stock and Watson (1991) model, to formulate a dynamic factor model, estimate its parameters via maximum likelihood, and create a coincident index.
Macroeconomic data¶
The coincident index is created by considering the comovements in four macroeconomic variables (versions of these variables are available on FRED; the ID of the series used below is given in parentheses):
Industrial production (IPMAN)
Real aggregate income (excluding transfer payments) (W875RX1)
Manufacturing and trade sales (CMRMTSPL)
Employees on non-farm payrolls (PAYEMS)
In all cases, the data is at the monthly frequency and has been seasonally adjusted; the time-frame considered is 1972 - 2005.
[1]:
%matplotlib inline
import numpy as np
import pandas as pd
import statsmodels.api as sm
import matplotlib.pyplot as plt
np.set_printoptions(precision=4, suppress=True, linewidth=120)
[2]:
from pandas_datareader.data import DataReader
# Get the datasets from FRED
start = '1979-01-01'
end = '2014-12-01'
indprod = DataReader('IPMAN', 'fred', start=start, end=end)
income = DataReader('W875RX1', 'fred', start=start, end=end)
sales = DataReader('CMRMTSPL', 'fred', start=start, end=end)
emp = DataReader('PAYEMS', 'fred', start=start, end=end)
# dta = pd.concat((indprod, income, sales, emp), axis=1)
# dta.columns = ['indprod', 'income', 'sales', 'emp']
Note: in a recent update on FRED (8/12/15) the time series CMRMTSPL was truncated to begin in 1997; this is probably a mistake due to the fact that CMRMTSPL is a spliced series, so the earlier period is from the series HMRMT and the latter period is defined by CMRMT.
This has since (02/11/16) been corrected, however the series could also be constructed by hand from HMRMT and CMRMT, as shown below (process taken from the notes in the Alfred xls file).
[3]:
# HMRMT = DataReader('HMRMT', 'fred', start='1967-01-01', end=end)
# CMRMT = DataReader('CMRMT', 'fred', start='1997-01-01', end=end)
[4]:
# HMRMT_growth = HMRMT.diff() / HMRMT.shift()
# sales = pd.Series(np.zeros(emp.shape[0]), index=emp.index)
# # Fill in the recent entries (1997 onwards)
# sales[CMRMT.index] = CMRMT
# # Backfill the previous entries (pre 1997)
# idx = sales.loc[:'1997-01-01'].index
# for t in range(len(idx)-1, 0, -1):
# month = idx[t]
# prev_month = idx[t-1]
# sales.loc[prev_month] = sales.loc[month] / (1 + HMRMT_growth.loc[prev_month].values)
[5]:
dta = pd.concat((indprod, income, sales, emp), axis=1)
dta.columns = ['indprod', 'income', 'sales', 'emp']
dta.index.freq = dta.index.inferred_freq
[6]:
dta.loc[:, 'indprod':'emp'].plot(subplots=True, layout=(2, 2), figsize=(15, 6));
[6]:
array([[<AxesSubplot:xlabel='DATE'>, <AxesSubplot:xlabel='DATE'>],
[<AxesSubplot:xlabel='DATE'>, <AxesSubplot:xlabel='DATE'>]], dtype=object)
Stock and Watson (1991) report that for their datasets, they could not reject the null hypothesis of a unit root in each series (so the series are integrated), but they did not find strong evidence that the series were co-integrated.
As a result, they suggest estimating the model using the first differences (of the logs) of the variables, demeaned and standardized.
[7]:
# Create log-differenced series
dta['dln_indprod'] = (np.log(dta.indprod)).diff() * 100
dta['dln_income'] = (np.log(dta.income)).diff() * 100
dta['dln_sales'] = (np.log(dta.sales)).diff() * 100
dta['dln_emp'] = (np.log(dta.emp)).diff() * 100
# De-mean and standardize
dta['std_indprod'] = (dta['dln_indprod'] - dta['dln_indprod'].mean()) / dta['dln_indprod'].std()
dta['std_income'] = (dta['dln_income'] - dta['dln_income'].mean()) / dta['dln_income'].std()
dta['std_sales'] = (dta['dln_sales'] - dta['dln_sales'].mean()) / dta['dln_sales'].std()
dta['std_emp'] = (dta['dln_emp'] - dta['dln_emp'].mean()) / dta['dln_emp'].std()
Dynamic factors¶
A general dynamic factor model is written as:
where \(y_t\) are observed data, \(f_t\) are the unobserved factors (evolving as a vector autoregression), \(x_t\) are (optional) exogenous variables, and \(u_t\) is the error, or “idiosyncratic”, process (\(u_t\) is also optionally allowed to be autocorrelated). The \(\Lambda\) matrix is often referred to as the matrix of “factor loadings”. The variance of the factor error term is set to the identity matrix to ensure identification of the unobserved factors.
This model can be cast into state space form, and the unobserved factor estimated via the Kalman filter. The likelihood can be evaluated as a byproduct of the filtering recursions, and maximum likelihood estimation used to estimate the parameters.
Model specification¶
The specific dynamic factor model in this application has 1 unobserved factor which is assumed to follow an AR(2) process. The innovations \(\varepsilon_t\) are assumed to be independent (so that \(\Sigma\) is a diagonal matrix) and the error term associated with each equation, \(u_{i,t}\) is assumed to follow an independent AR(2) process.
Thus the specification considered here is:
where \(i\) is one of: [indprod, income, sales, emp ]
.
This model can be formulated using the DynamicFactor
model built-in to statsmodels. In particular, we have the following specification:
k_factors = 1
- (there is 1 unobserved factor)factor_order = 2
- (it follows an AR(2) process)error_var = False
- (the errors evolve as independent AR processes rather than jointly as a VAR - note that this is the default option, so it is not specified below)error_order = 2
- (the errors are autocorrelated of order 2: i.e. AR(2) processes)error_cov_type = 'diagonal'
- (the innovations are uncorrelated; this is again the default)
Once the model is created, the parameters can be estimated via maximum likelihood; this is done using the fit()
method.
Note: recall that we have demeaned and standardized the data; this will be important in interpreting the results that follow.
Aside: in their empirical example, Kim and Nelson (1999) actually consider a slightly different model in which the employment variable is allowed to also depend on lagged values of the factor - this model does not fit into the built-in DynamicFactor
class, but can be accommodated by using a subclass to implement the required new parameters and restrictions - see Appendix A, below.
Parameter estimation¶
Multivariate models can have a relatively large number of parameters, and it may be difficult to escape from local minima to find the maximized likelihood. In an attempt to mitigate this problem, I perform an initial maximization step (from the model-defined starting parameters) using the modified Powell method available in Scipy (see the minimize documentation for more information). The resulting parameters are then used as starting parameters in the standard LBFGS optimization method.
[8]:
# Get the endogenous data
endog = dta.loc['1979-02-01':, 'std_indprod':'std_emp']
# Create the model
mod = sm.tsa.DynamicFactor(endog, k_factors=1, factor_order=2, error_order=2)
initial_res = mod.fit(method='powell', disp=False)
res = mod.fit(initial_res.params, disp=False)
/home/travis/build/statsmodels/statsmodels/statsmodels/base/model.py:568: ConvergenceWarning: Maximum Likelihood optimization failed to converge. Check mle_retvals
ConvergenceWarning)
Estimates¶
Once the model has been estimated, there are two components that we can use for analysis or inference:
The estimated parameters
The estimated factor
Parameters¶
The estimated parameters can be helpful in understanding the implications of the model, although in models with a larger number of observed variables and / or unobserved factors they can be difficult to interpret.
One reason for this difficulty is due to identification issues between the factor loadings and the unobserved factors. One easy-to-see identification issue is the sign of the loadings and the factors: an equivalent model to the one displayed below would result from reversing the signs of all factor loadings and the unobserved factor.
Here, one of the easy-to-interpret implications in this model is the persistence of the unobserved factor: we find that exhibits substantial persistence.
[9]:
print(res.summary(separate_params=False))
Statespace Model Results
=================================================================================================================
Dep. Variable: ['std_indprod', 'std_income', 'std_sales', 'std_emp'] No. Observations: 431
Model: DynamicFactor(factors=1, order=2) Log Likelihood -2065.023
+ AR(2) errors AIC 4166.047
Date: Tue, 02 Feb 2021 BIC 4239.237
Time: 06:55:41 HQIC 4194.945
Sample: 02-01-1979
- 12-01-2014
Covariance Type: opg
====================================================================================================
coef std err z P>|z| [0.025 0.975]
----------------------------------------------------------------------------------------------------
loading.f1.std_indprod -0.8559 0.016 -52.146 0.000 -0.888 -0.824
loading.f1.std_income -0.2515 0.034 -7.425 0.000 -0.318 -0.185
loading.f1.std_sales -0.4757 0.024 -19.974 0.000 -0.522 -0.429
loading.f1.std_emp -0.2721 0.027 -10.039 0.000 -0.325 -0.219
sigma2.std_indprod 8.559e-15 1.38e-09 6.21e-06 1.000 -2.7e-09 2.7e-09
sigma2.std_income 0.9031 0.020 46.067 0.000 0.865 0.941
sigma2.std_sales 0.6022 0.035 17.302 0.000 0.534 0.670
sigma2.std_emp 0.3707 0.015 25.456 0.000 0.342 0.399
L1.f1.f1 0.2210 0.017 12.884 0.000 0.187 0.255
L2.f1.f1 0.2766 0.021 13.125 0.000 0.235 0.318
L1.e(std_indprod).e(std_indprod) -1.8926 0.002 -1148.990 0.000 -1.896 -1.889
L2.e(std_indprod).e(std_indprod) -1.0000 9.78e-06 -1.02e+05 0.000 -1.000 -1.000
L1.e(std_income).e(std_income) -0.1542 0.019 -8.279 0.000 -0.191 -0.118
L2.e(std_income).e(std_income) -0.0874 0.020 -4.265 0.000 -0.128 -0.047
L1.e(std_sales).e(std_sales) -0.4418 0.031 -14.375 0.000 -0.502 -0.382
L2.e(std_sales).e(std_sales) -0.2077 0.021 -9.977 0.000 -0.248 -0.167
L1.e(std_emp).e(std_emp) 0.3046 0.034 8.978 0.000 0.238 0.371
L2.e(std_emp).e(std_emp) 0.4799 0.029 16.622 0.000 0.423 0.536
====================================================================================================
Ljung-Box (L1) (Q): 0.81, 0.05, 0.06, 5.99 Jarque-Bera (JB): 194.03, 9286.86, 20.12, 4165.97
Prob(Q): 0.37, 0.83, 0.81, 0.01 Prob(JB): 0.00, 0.00, 0.00, 0.00
Heteroskedasticity (H): 0.80, 4.82, 0.47, 0.41 Skew: 0.07, -0.98, 0.19, 0.86
Prob(H) (two-sided): 0.19, 0.00, 0.00, 0.00 Kurtosis: 6.28, 25.66, 3.99, 18.13
====================================================================================================
Warnings:
[1] Covariance matrix calculated using the outer product of gradients (complex-step).
[2] Covariance matrix is singular or near-singular, with condition number 7.69e+16. Standard errors may be unstable.
Estimated factors¶
While it can be useful to plot the unobserved factors, it is less useful here than one might think for two reasons:
The sign-related identification issue described above.
Since the data was differenced, the estimated factor explains the variation in the differenced data, not the original data.
It is for these reasons that the coincident index is created (see below).
With these reservations, the unobserved factor is plotted below, along with the NBER indicators for US recessions. It appears that the factor is successful at picking up some degree of business cycle activity.
[10]:
fig, ax = plt.subplots(figsize=(13,3))
# Plot the factor
dates = endog.index._mpl_repr()
ax.plot(dates, res.factors.filtered[0], label='Factor')
ax.legend()
# Retrieve and also plot the NBER recession indicators
rec = DataReader('USREC', 'fred', start=start, end=end)
ylim = ax.get_ylim()
ax.fill_between(dates[:-3], ylim[0], ylim[1], rec.values[:-4,0], facecolor='k', alpha=0.1);
[10]:
<matplotlib.collections.PolyCollection at 0x7f4e82c99710>
Post-estimation¶
Although here we will be able to interpret the results of the model by constructing the coincident index, there is a useful and generic approach for getting a sense for what is being captured by the estimated factor. By taking the estimated factors as given, regressing them (and a constant) each (one at a time) on each of the observed variables, and recording the coefficients of determination (\(R^2\) values), we can get a sense of the variables for which each factor explains a substantial portion of the variance and the variables for which it does not.
In models with more variables and more factors, this can sometimes lend interpretation to the factors (for example sometimes one factor will load primarily on real variables and another on nominal variables).
In this model, with only four endogenous variables and one factor, it is easy to digest a simple table of the \(R^2\) values, but in larger models it is not. For this reason, a bar plot is often employed; from the plot we can easily see that the factor explains most of the variation in industrial production index and a large portion of the variation in sales and employment, it is less helpful in explaining income.
[11]:
res.plot_coefficients_of_determination(figsize=(8,2));
[11]:
Coincident Index¶
As described above, the goal of this model was to create an interpretable series which could be used to understand the current status of the macroeconomy. This is what the coincident index is designed to do. It is constructed below. For readers interested in an explanation of the construction, see Kim and Nelson (1999) or Stock and Watson (1991).
In essence, what is done is to reconstruct the mean of the (differenced) factor. We will compare it to the coincident index on published by the Federal Reserve Bank of Philadelphia (USPHCI on FRED).
[12]:
usphci = DataReader('USPHCI', 'fred', start='1979-01-01', end='2014-12-01')['USPHCI']
usphci.plot(figsize=(13,3));
[12]:
<AxesSubplot:xlabel='DATE'>
[13]:
dusphci = usphci.diff()[1:].values
def compute_coincident_index(mod, res):
# Estimate W(1)
spec = res.specification
design = mod.ssm['design']
transition = mod.ssm['transition']
ss_kalman_gain = res.filter_results.kalman_gain[:,:,-1]
k_states = ss_kalman_gain.shape[0]
W1 = np.linalg.inv(np.eye(k_states) - np.dot(
np.eye(k_states) - np.dot(ss_kalman_gain, design),
transition
)).dot(ss_kalman_gain)[0]
# Compute the factor mean vector
factor_mean = np.dot(W1, dta.loc['1972-02-01':, 'dln_indprod':'dln_emp'].mean())
# Normalize the factors
factor = res.factors.filtered[0]
factor *= np.std(usphci.diff()[1:]) / np.std(factor)
# Compute the coincident index
coincident_index = np.zeros(mod.nobs+1)
# The initial value is arbitrary; here it is set to
# facilitate comparison
coincident_index[0] = usphci.iloc[0] * factor_mean / dusphci.mean()
for t in range(0, mod.nobs):
coincident_index[t+1] = coincident_index[t] + factor[t] + factor_mean
# Attach dates
coincident_index = pd.Series(coincident_index, index=dta.index).iloc[1:]
# Normalize to use the same base year as USPHCI
coincident_index *= (usphci.loc['1992-07-01'] / coincident_index.loc['1992-07-01'])
return coincident_index
Below we plot the calculated coincident index along with the US recessions and the comparison coincident index USPHCI.
[14]:
fig, ax = plt.subplots(figsize=(13,3))
# Compute the index
coincident_index = compute_coincident_index(mod, res)
# Plot the factor
dates = endog.index._mpl_repr()
ax.plot(dates, coincident_index, label='Coincident index')
ax.plot(usphci.index._mpl_repr(), usphci, label='USPHCI')
ax.legend(loc='lower right')
# Retrieve and also plot the NBER recession indicators
ylim = ax.get_ylim()
ax.fill_between(dates[:-3], ylim[0], ylim[1], rec.values[:-4,0], facecolor='k', alpha=0.1);
[14]:
<matplotlib.collections.PolyCollection at 0x7f4e82bb00d0>
Appendix 1: Extending the dynamic factor model¶
Recall that the previous specification was described by:
Written in state space form, the previous specification of the model had the following observation equation:
and transition equation:
the DynamicFactor
model handles setting up the state space representation and, in the DynamicFactor.update
method, it fills in the fitted parameter values into the appropriate locations.
The extended specification is the same as in the previous example, except that we also want to allow employment to depend on lagged values of the factor. This creates a change to the \(y_{\text{emp},t}\) equation. Now we have:
Now, the corresponding observation equation should look like the following:
Notice that we have introduced two new state variables, \(f_{t-2}\) and \(f_{t-3}\), which means we need to update the transition equation:
This model cannot be handled out-of-the-box by the DynamicFactor
class, but it can be handled by creating a subclass when alters the state space representation in the appropriate way.
First, notice that if we had set factor_order = 4
, we would almost have what we wanted. In that case, the last line of the observation equation would be:
and the first line of the transition equation would be:
Relative to what we want, we have the following differences:
In the above situation, the \(\lambda_{\text{emp}, j}\) are forced to be zero for \(j > 0\), and we want them to be estimated as parameters.
We only want the factor to transition according to an AR(2), but under the above situation it is an AR(4).
Our strategy will be to subclass DynamicFactor
, and let it do most of the work (setting up the state space representation, etc.) where it assumes that factor_order = 4
. The only things we will actually do in the subclass will be to fix those two issues.
First, here is the full code of the subclass; it is discussed below. It is important to note at the outset that none of the methods defined below could have been omitted. In fact, the methods __init__
, start_params
, param_names
, transform_params
, untransform_params
, and update
form the core of all state space models in statsmodels, not just the DynamicFactor
class.
[15]:
from statsmodels.tsa.statespace import tools
class ExtendedDFM(sm.tsa.DynamicFactor):
def __init__(self, endog, **kwargs):
# Setup the model as if we had a factor order of 4
super(ExtendedDFM, self).__init__(
endog, k_factors=1, factor_order=4, error_order=2,
**kwargs)
# Note: `self.parameters` is an ordered dict with the
# keys corresponding to parameter types, and the values
# the number of parameters of that type.
# Add the new parameters
self.parameters['new_loadings'] = 3
# Cache a slice for the location of the 4 factor AR
# parameters (a_1, ..., a_4) in the full parameter vector
offset = (self.parameters['factor_loadings'] +
self.parameters['exog'] +
self.parameters['error_cov'])
self._params_factor_ar = np.s_[offset:offset+2]
self._params_factor_zero = np.s_[offset+2:offset+4]
@property
def start_params(self):
# Add three new loading parameters to the end of the parameter
# vector, initialized to zeros (for simplicity; they could
# be initialized any way you like)
return np.r_[super(ExtendedDFM, self).start_params, 0, 0, 0]
@property
def param_names(self):
# Add the corresponding names for the new loading parameters
# (the name can be anything you like)
return super(ExtendedDFM, self).param_names + [
'loading.L%d.f1.%s' % (i, self.endog_names[3]) for i in range(1,4)]
def transform_params(self, unconstrained):
# Perform the typical DFM transformation (w/o the new parameters)
constrained = super(ExtendedDFM, self).transform_params(
unconstrained[:-3])
# Redo the factor AR constraint, since we only want an AR(2),
# and the previous constraint was for an AR(4)
ar_params = unconstrained[self._params_factor_ar]
constrained[self._params_factor_ar] = (
tools.constrain_stationary_univariate(ar_params))
# Return all the parameters
return np.r_[constrained, unconstrained[-3:]]
def untransform_params(self, constrained):
# Perform the typical DFM untransformation (w/o the new parameters)
unconstrained = super(ExtendedDFM, self).untransform_params(
constrained[:-3])
# Redo the factor AR unconstrained, since we only want an AR(2),
# and the previous unconstrained was for an AR(4)
ar_params = constrained[self._params_factor_ar]
unconstrained[self._params_factor_ar] = (
tools.unconstrain_stationary_univariate(ar_params))
# Return all the parameters
return np.r_[unconstrained, constrained[-3:]]
def update(self, params, transformed=True, **kwargs):
# Peform the transformation, if required
if not transformed:
params = self.transform_params(params)
params[self._params_factor_zero] = 0
# Now perform the usual DFM update, but exclude our new parameters
super(ExtendedDFM, self).update(params[:-3], transformed=True, **kwargs)
# Finally, set our new parameters in the design matrix
self.ssm['design', 3, 1:4] = params[-3:]
So what did we just do?
``__init__``
The important step here was specifying the base dynamic factor model which we were operating with. In particular, as described above, we initialize with factor_order=4
, even though we will only end up with an AR(2) model for the factor. We also performed some general setup-related tasks.
``start_params``
start_params
are used as initial values in the optimizer. Since we are adding three new parameters, we need to pass those in. If we had not done this, the optimizer would use the default starting values, which would be three elements short.
``param_names``
param_names
are used in a variety of places, but especially in the results class. Below we get a full result summary, which is only possible when all the parameters have associated names.
``transform_params`` and ``untransform_params``
The optimizer selects possibly parameter values in an unconstrained way. That’s not usually desired (since variances cannot be negative, for example), and transform_params
is used to transform the unconstrained values used by the optimizer to constrained values appropriate to the model. Variances terms are typically squared (to force them to be positive), and AR lag coefficients are often constrained to lead to a stationary model. untransform_params
is used for the reverse operation (and
is important because starting parameters are usually specified in terms of values appropriate to the model, and we need to convert them to parameters appropriate to the optimizer before we can begin the optimization routine).
Even though we do not need to transform or untransform our new parameters (the loadings can in theory take on any values), we still need to modify this function for two reasons:
The version in the
DynamicFactor
class is expecting 3 fewer parameters than we have now. At a minimum, we need to handle the three new parameters.The version in the
DynamicFactor
class constrains the factor lag coefficients to be stationary as though it was an AR(4) model. Since we actually have an AR(2) model, we need to re-do the constraint. We also set the last two autoregressive coefficients to be zero here.
``update``
The most important reason we need to specify a new update
method is because we have three new parameters that we need to place into the state space formulation. In particular we let the parent DynamicFactor.update
class handle placing all the parameters except the three new ones in to the state space representation, and then we put the last three in manually.
[16]:
# Create the model
extended_mod = ExtendedDFM(endog)
initial_extended_res = extended_mod.fit(maxiter=1000, disp=False)
extended_res = extended_mod.fit(initial_extended_res.params, method='nm', maxiter=1000)
print(extended_res.summary(separate_params=False))
Optimization terminated successfully.
Covariance matrix is singular or near-singular, with condition number 1.35e+18. Standard errors may be unstable.
Although this model increases the likelihood, it is not preferred by the AIC and BIC measures which penalize the additional three parameters.
Furthermore, the qualitative results are unchanged, as we can see from the updated \(R^2\) chart and the new coincident index, both of which are practically identical to the previous results.
[17]:
extended_res.plot_coefficients_of_determination(figsize=(8,2));
[17]:
[18]:
fig, ax = plt.subplots(figsize=(13,3))
# Compute the index
extended_coincident_index = compute_coincident_index(extended_mod, extended_res)
# Plot the factor
dates = endog.index._mpl_repr()
ax.plot(dates, coincident_index, '-', linewidth=1, label='Basic model')
ax.plot(dates, extended_coincident_index, '--', linewidth=3, label='Extended model')
ax.plot(usphci.index._mpl_repr(), usphci, label='USPHCI')
ax.legend(loc='lower right')
ax.set(title='Coincident indices, comparison')
# Retrieve and also plot the NBER recession indicators
ylim = ax.get_ylim()
ax.fill_between(dates[:-3], ylim[0], ylim[1], rec.values[:-4,0], facecolor='k', alpha=0.1);
[18]:
<matplotlib.collections.PolyCollection at 0x7f4e823d3150>


...
Do:
interpolation
extrapolation
both
With the weight coefficient:
-
+
...
Please select one of the following configurations:
constant-constant-constant-constant
constant-linear-linear-constant
linear-linear-linear-linear
constant-quadratic-quadratic-constant
linear-quadratic-quadratic-linear
quadratic-quadratic-quadratic-quadratic
...
Please select basis function:
constant
;
linear
.
And the weight coefficient:
-
+


BREAKING: I’m Not Running For Another Term, So I Can Afford To Be Reckless, Says Buhari
In recent days, there have insinuations by some politicians that Buhari was preparing the way for a third term in office.
by SaharaReporters, New York
President Muhammadu Buhari has said that he “can afford to be reckless because” he would not be needing the votes of Nigerians again in another election.
Buhari made the declaration on Friday during the National Executive Committee meeting of the All Progressives Congress in Abuja, Nigeria’s capital.
He said that apart from the fact that age was no longer on his side, he would not seek a third term in office because it was not backed or supported by the Nigerian constitution.
Buhari said, “I am not going to make mistake of attempting a third term or whatever term.
“Besides age, I swore by the holy book that I believe in and will go by the constitution.
“I know I am in my last term and I can afford to be reckless because I am not going to ask for anybody's vote.”
In recent days, there have insinuations by some politicians that Buhari was preparing the way for a third term in office.
Though those around him had always denied such moves, Buhari’s statement on Friday may have put paid to any such talk.


Before Change
with self._lock:
self._check_trial_id(trial_id)
trial = self._get_trial(trial_id)
self.check_trial_is_updatable(trial_id, trial.state)
with self._lock:
self.check_trial_is_updatable(trial_id, trial.state)
trial = copy.copy(trial)
trial.user_attrs = copy.copy(trial.user_attrs)
trial.user_attrs[key] = value
self._set_trial(trial_id, trial)
def set_trial_system_attr(self, trial_id, key, value):
// type: (int, str, Any) -> None
with self._lock:
After Change
with self._lock:
self._check_trial_id(trial_id)
trial = self._get_trial(trial_id)
self.check_trial_is_updatable(trial_id, trial.state)
self.check_trial_is_updatable(trial_id, trial.state)
trial = copy.copy(trial)
trial.user_attrs = copy.copy(trial.user_attrs)
trial.user_attrs[key] = value
self._set_trial(trial_id, trial)


I’ve contributed and led teams for almost every user facing function: UI/UX design, research, testing, front end development etc; from enterprise to start up and everything in between. I’ve spent my career obsessing over how people interact with technology in order to create beautiful, efficient, testable products with the data to prove it.
I had the incredible honor of establishing the design, testing, and research programs at an established start up in the emerging field of political tech, but I am by far most proud of educating and leading younger designers. Coaching them through learning how to create prototypes, working within design systems, running user tests, performing client interviews, writing case studies and documentation, participating in and running their own design sprints as well as mentoring them along whatever continued learning path they chose including learning front end development and eventually deploying full features. I haven’t been more proud of anything I’ve ever accomplished than watching these designers and developers grow and encouraging all the members of the company to participate more in the design process.
Being at an enterprise company meant I had so many, very talented people to learn from and I spent most of my first year at Rackspace absorbing as much knowledge from as many people and teams as possible. I then applied all of those learnings with tenacity and a goal of bringing unification, efficiency and design led thinking to the organization. I established a living style guide, bringing a clarity to documentation and unity to design and development teams. I brough research, data and user testing into the client facing properties and presented my findings to SLT frequently. I focused heavily on data, measurement and conversion rates and led the design team with an emphasis on those things first.
While working at enterprise companies and start up there isn’t as much variety in your creative work. I personally feel passionately about furthering a product through long term dedication, understanding and research but I also occasionally miss the opporunity to “stay loose” so I occasionally take side projects, freelance etc. Most of this work is information architecture, hueristic consulting etc but it’s also sometimes design.
I designed, developed, user tested and managed native apps, TV apps and their accompanying content and data management tools.


Flights
To fly to France it exist a lot of companies than now I will list:
| COMPANY | LOGO | SERVICE AND VALORATION |
|---|---|---|
| Ryanair | It is one which has the ticket more competitive in any date while the accomodation on the jet is not the best. His main connection is Beauvais, airport to 60 km to Paris, therefore you should catch a additional bus. | |
| easyJet | As Ryanair has tickets very competitives even though more expensive but in my opinion has a better service. | |
| Iberia | Spanish company with tickets more expensive than the others but if you take in time is not that bad, if not is about 33% superior of his rivals and comfort is better. | |
| Vueling | It has a lot of flights and with medium prices. | |
| Norwegian | A new company with headquarters on Nowrwy who connect nordic countries with other countries of Europe. | |
| Air France | The more important French company, same category as Iberia regarding prices and confort. |
France due to his high number of quality roads and the big number of places to visit in his big territory compare to others countries of Europe is a good place to rent a car. In terms of monuments and extension is comparable to Spain, but in my opinion has his beauty concentred in some towns, not as Spain which is a place with a descentralization in terms of monumental towns, nature places and enjoy sites. Public transport is expensive in Paris but in the rest of towns use to be cheaper and if you use some kind of discounts if you are planinng to do life there it is the best option.
Actually France has 6 underground lines. This make it the second country with more towns with underground lines in Europe.
Underground in Paris started at 1900 and since then it has done nothing but than increased. It is the transport more used in the capital and to go to the center town is the best option.
The price per traject smaller than London. It cost 1.8 euros per 2.4 pounds of London and you have the possibility to has a 10 ticket for 14.1 euros.
This tickets could be transfered to other person, different of London ticket who are assigned to the personal card (Oyster card).
It could be used to move in bus or tram but you cannot change trains with same ticket.
Toulouse ticket has a usage of 1 hour since you use the first kind of transport and you can change from bus to underground for this hour.
Underground lines and his map are descript well in this page:
Taxi in France is a kind of transport very used as the others and in Paris is very important due to the number of passengers and tourists.
Costs depend of factors such as distance and the time.
Price for go from the airport Charles de Gaulle to the town center is about 50 euros and 35 euros from Orly airport.
Train in France is nationalized as the energy and other things and the company is the SNCF as in Spain is the RENFE. There are three kind of trains in terms of service and speed.
Public transport in France is very useful and very cheap. I recommend a lot to use, because the bus arrive on good time. All towns have kind of bus system. In my case i was in Toulouse and I charge my card for 10 times for not more than 10 euros. It was for the bus and the metro, like in big towns where you can use indifferent and you have 1 hour maximum to use it since you enter at first.
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