Lightweight JavaScript framework for developing single-page web applications
Singool.js is a lightweight framework built on top of Backbone.js that helps you develop single-page web applications. It has a structure similar to popular server-side MVC frameworks, and supports plugins and themes.
It is released under the MIT License.
Most of the code examples are written in CoffeeScript below. If you want to view them in JavaScript, click here.
Let's get Singool up and running!
We will require Node.js with npm installed.
Once we have Node, we need to install CoffeeScript and Bower. It is not necessary for you to write your Singool application in CoffeeScript, but we need the cake
command to run from command line.
$ npm install -g coffee-script bower
$ git clone git@github.com:fahad19/singool.git
$ cd singool
$ npm install .
$ cake install
Singool gives you a number of options to perform build tasks via the cake
command.
$ cake
The quickest way to get up and running is by starting a real time server that lets you run your app in the browser as you make changes to your code without having to compile them again manually.
$ cake server
Server running at http://localhost:3000
You can specify basic configuration values instructing whether to compress JS/CSS when compiling, what plugins and theme to load, etc from the config file located at /config.js
.
A basic Singool app looks like this:
/public /app /collections /config /bootstrap.coffee /router.coffee /vendors.json /helpers /lib /models /templates /tests /vendors /views /lib /plugins /vendors /themes
Singool uses a fork of @sstephenson's Stitch which lets us access our JavaScript files as CommonJS modules in the browser.
For example, we have have a directory with two files like this:
/public/js/app a.coffee b.coffee
Content of a.coffee
:
class A
foo: (bar) ->
bar
module.exports = A
Now from file b.coffee
, we can require() the class A
like this:
A = require 'a'
Bootstrap file located at /public/js/app/config/bootstrap.coffee
is responsible for doing anything before your app loads.
It is mainly used for instantiating Router classes like:
AppRouter = require 'config/router'
window.appRouter = new AppRouter
Router file located at /public/js/app/config/router.coffee
is responsible for connecting client-side pages to actions and events.
For example, if you want your app to do something when the user visits http://localhost:3000/#!/foo
, your router.coffee
file will look something like:
class AppRouter extends require('router')
routes:
'!/foo': 'foo'
foo: ->
console.log 'foo page loaded'
module.exports = AppRouter
Read more about Backbone.Router here.
If you want an example from a RDBMS point of view, the best way to describe a model would be a record in the table.
For example, a particular User can be a represented by a model at /public/js/app/models/user.coffee
class User extends require('model')
module.exports = User
Read more about Backbone.Model here.
Models have their own schema. This helps at later stages when generating forms or validating user input data against validation logic.
For User
model, the schema would look something like:
class User extends require('model')
schema:
name:
label: 'Name'
type: 'text'
email:
label: 'Email'
type: 'text'
gender:
label: 'Gender'
type: 'select'
options:
f: 'Female'
m: 'Male'
empty: ' - Please choose one - '
module.exports = User
From the above schema, we understand that User
has four fields: name, email and gender.
class Task extends require('model')
schema:
title:
type: 'text'
label: 'Title'
module.exports = Task
class Task extends require('model')
schema:
description:
type: 'textarea'
label: 'Description'
module.exports = Task
class Task extends require('model')
schema:
mood:
type: 'select'
label: 'Mood'
options:
happy: 'Happy'
sad: 'Sad'
module.exports = Task
class Task extends require('model')
schema:
lucky:
type: 'radio'
label: 'Feeling lucky?'
options:
yes: 'Oh yes!'
no: 'Nope'
module.exports = Task
class Task extends require('model')
schema:
status:
type: 'checkbox'
label: 'Done?'
module.exports = Task
class Task extends require('model')
schema:
address:
type: 'object'
schema:
line1:
type: 'text'
label: 'Line 1'
line2:
type: 'text'
label: 'Line 2'
module.exports = Task
It is likely sometimes you want models to have some default values when they are first instantiated. You can do so like this:
class User extends require('model')
defaults:
name: null
email: null
gender: null
module.exports = User
Model validation can be specified in the schema. For example, if we do not want User
model to be saved with the name
field left blank, we can:
class User extends require('model')
schema:
name:
label: 'Name'
type: 'text'
validate:
notEmpty:
rule: 'notEmpty'
message: 'Field cannot be empty.'
module.exports = User
You can also pass your own RegExp as a rule, as well as functions. Function takes (value
, attributes
, model
) as arguments.
Model validation works on set()
and save()
:
User = require 'models/user'
user = new User
# set
if user.set attributes
alert 'successfully set!'
else
alert 'validation fail'
# save
user.save attributes,
error: (model, response) ->
alert 'validation fail'
success: (model, response) ->
alert 'successfully saved!'
You can also check if attributes are valid without having to set()
or save()
:
User = require 'models/user'
user = new User
# check validation
if user.validates(attributes)
alert 'valid!'
else
alert 'validation fail :('
console.log 'validation errors', user.validationErrors
Once validation has failed, it will store the errors in the model's validationrErrors
property.
Take a look at form helper section on how it all works together.
Collections are, well, collections of models. For User
model, we can have a collection called Users
. A collection is usually a plural form of the model's name.
We can place our Users
collection at /public/js/app/collections/users.coffee
class Users extends require('collection')
model: require 'models/user'
module.exports = Users
Read more about Backbone.Collection here.
Location on the server:
class Users extends require('collection')
model: require 'models/user'
url: '/users'
module.exports = Users
If you choose not to interact with the server, and store data in HTML5 localStorage by using backbone-localstorage.js:
class Users extends require('collection')
model: require 'models/user'
localStorage: new Store 'users'
module.exports = Users
This will require you to have backbone-localstorage.js file included as a vendor, and we will cover this in the Vendors section later.
Views are used for the logic behind your interface. They themselves do not contain the HTML/CSS, but used for rendering and binding any changes to your elements in the DOM.
For example, we may want to have a view for http://localhost:3000/#!/foo
. And we write our View at /public/js/app/views/foo.coffee
:
class FooView extends require('view')
template: require 'templates/foo/index'
render: =>
@$el.html @template()
@
module.exports = FooView
Just in case your are wondering, the template file will be located at /public/js/app/templates/index.underscore
. We dill discuss about Templates in later section.
We need to instantiate our view from the Router too so that it is shown when #!/foo
page is visited:
class AppRouter extends require('router')
routes:
'!/foo': 'foo'
foo: ->
Foo = require 'views/foo'
fooView = new FooView
$('#main').html fooView.render().el
module.exports = AppRouter
Read more about Backbone.View here.
Templates are where your HTML comes from. Singool already uses Underscore.js since that is a dependency for using Backbone.js. So it uses its templating system by default. You are of course free to use your own if needed.
From the example of Views above, we needed a template for FooView at /public/js/app/templates/foo/index.underscore
:

This is my HTML code here

Helpers are made available to your Views and Templates for helping with common tasks.
An example helper can be placed at /public/js/app/helpers/foo.coffee
:
class FooHelper extends require('helper')
bar: ->
"string from helper"
module.exports = FooHelper
They are then made available to your Views like:
class FooView extends require('view')
helpers:
foo: require 'helpers/foo'
render: =>
stringFromHelper = @foo.bar()
@
module.exports = FooView
And from your Underscore templates:

The string from helper is: <%= this.foo.bar() %>

You can access View from within a Helper like this:
class FooHelper extends require('helper')
hide: ->
@view.$el.find('.hide').hide()
module.exports = FooHelper
Singool comes with two helpers built in, and they are always made available to your views and Underscore templates:
Methods:
Set some breadcrumbs in your view:
class FooView extends require('view')
render: =>
@settings.breadcrumbs = [
{title: 'Home', url: '#!/'}
{title: 'Foo', url: '#!/foo'}
]
@
module.exports = FooView
And use it from your Underscore template:
<%= this.html.breadcrumbs() %>
Form helper, as anyone would guess, is used for handling generation of form elements both manually or automatically from Model's schema.
An example of generating a form for User model in a View:
class FooView extends require('view')
render: =>
User = require 'models/user'
@$el.html @template
model: new User
@
module.exports = FooView
Now from our template we utilize the Form helper for generating a form according to User model's schema with a submit and reset button:
<%= this.form.create(model) %>
<fieldset>
<%= this.form.inputs() %>
<%= this.form.submit() %>
<%= this.form.reset() %>
</fieldset>
<%= this.form.end() %>
For showing validation errors on form submission from a view:
class FooView extends require('view')
events:
'submit form': 'submit'
submit: (e) =>
e.preventDefault()
attributes = @model.extract e.target
if @model.isNew()
if<EMAIL_ADDRESS>attributes, (validate: true)
# validation fail on adding
@form.showErrors e.target, @model
else
@collection.create @model
window.appRouter.navigate '!/some-other-page', true
else
if !(@model.save attributes,
error: (model, response) =>
# validation fail on editing
@form.showErrors e.target, model
success: (model, response) ->
window.appRouter.navigate '!/some-other-page', true)
@form.showErrors e.target, @model
false
module.exports = FooView
Methods:
Any first-party classes that do not fit in as a View, Model, Collection, Router or Helper and needed to be used as CommonJS (that is, via require() function) is expected to go inside /public/js/app/lib
.
Vendors are JavaScript code that you want to be loaded in your app, but NOT as CommonJS. A perfect example would be a jQuery plugin.
Vendors are defined in /public/js/app/config/vendors.json
file as an array:
["jquery.plugin.js"]
This will then load the jQuery plugin located at /public/js/app/vendors/jquery.plugin.js
.
Plugins are like self contained mini-apps themselves, only that they are loaded after the main app has been loaded.
Suppose you have a plugin called Tasks
at /public/js/plugins/tasks
, you need to add it in your config file at /config.js:
var plugins = ['tasks'];
All plugin classes can be accessed by require()
function with the plugin named prefixed in the path:
Router:
router = require 'tasks/config/router'
Models:
task = require 'tasks/models/task'
Collections:
tasks = require 'tasks/collections/tasks'
/public/js/plugins/my_plugin
/config
/bootstrap.coffee
/router.coffee
/vendors.json
/collections
/lib
/models
/templates
/vendors
/plugin.less
/views
Singool is also themeable. It comes with a default themed called, well, default
which uses the very cool Twitter Bootstrap. Themes are placed under /public/themes
directory.
To load your chosen theme, edit /config.js
file:
var theme = 'my_theme';
/public/themes/my_theme
/config
/vendors.json
/css
/theme.less
/layouts
/index.html
/vendors
All themes must come with a layout. The default theme has a layout like this at /public/themes/default/layouts/index.html
:
<!DOCTYPE html>

<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Singool</title>
<link rel="stylesheet" href="./css/app.css" />

app.js
and app.css
files will be compiled and served by Singool, the layout just need to point them.
Singool uses LESS for its CSS, mainly because of having compatiblity with Twitter Bootstrap. So it expects you to write your CSS in LESS too.
 You do not have to learn anything new unless you want to explore the features of LESS.
Themes are required to have a LESS file at /public/themes/my_theme/css/theme.less
.
Theme's JavaScript files are treated as vendors. To load a custom JS file of your theme, edit the file at /public/themes/my_theme/config/vendors.json
["my_theme.js"]
This will then load the file at /public/themes/my_theme/vendors/my_theme.js
Singool uses Mocha in combination with Expect.js for testing BDD style.
To run tests, start the testing server:
$ cake test-server
Test server running at http://localhost:3000
Visit http://localhost:3000
from your browser and it will start the Mocha test runner.
If you are using Chrome as your browser, it is best if you run tests from Incognito mode, otherwise the tests may fail because of JavaScript injections by Chrome extensions.
You can also run the tests directly from the CLI using PhantomJS. Make sure you have it in your machine first:
$ brew update && brew install phantomjs
Now you can simply run the tests by:
$ cake test
/public/js/app/tests
/cases
/app.coffee
/fixtures
An example test case comes with Singool.js at: /public/js/app/tests/cases/app.coffee
describe 'App', ->
foo = 'bar'
it 'test foo', ->
expect(foo).to.be.a 'string'
expect(foo).to.eql 'bar'
We first describe
our test case at the beginning of the file, then we test whether the variable foo
is a string and the string is 'bar'.
Test cases do not require to be exported by module.exports
at the end of the file.
Via the cake
command, you can compile your app into 3 files (layout, CSS and JS):
$ cake build
Theme layout file written at: /public/index.html
CSS file written at: /public/css/app.css
JS file writen at: /public/js/app.js
Deploying a Singool.js app on Heroku is very easy. It already comes with a Procfile at /Procfile
.
Create the app on the Cedar stack:
$ heroku create --stack cedar
Creating sharp-rain-871... done, stack is cedar
http://sharp-rain-871.herokuapp.com/ | git@heroku.com:sharp-rain-871.git
Git remote heroku added
Push to Heroku:
$ git push heroku master
...
-----> Launching... done, v2
http://sharp-rain-871.herokuapp.com deployed to Heroku
Scale the web process:
$ heroku ps:scale web=1


Welcome to the Bus Mall study. We appreciate that you have given your time to help us choose the excellent products we will feature in our catalog. You will see a group of 3 products. Please select the one that you are most likely to purchase. Each time you select you will be presented with a new set of 3 items. Again, please select the one you most would like to purchase. After 25 selections, this survey will end. Thank you for your cooperation.


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This add-on has been translated into English by
somone
.
Also thanks to
all other contributors
.


You can pass one GET parameter (arg1), any other GET parameter will be filtered out
Only two out of the three input fields will be visible to Kore.
The first field accepts the input "test"
The second field accepts anything like /test/[a-z]*
The third field will be removed by Kore, as it is not in the params block configured for this page.


Dealer
Dealer Transfer Monitoring
Dynamo
Other
Sum
To view site specific transfers, click the corresponding bar.


There are several earrings designed and made by myself and the last one is a fabric designed and prototyped by me as well. I do hope that you like them.
 I like playing guitar, singing, drawing, doing crafts, and all kinds of new and interesting things!


forgotten entities
Monitoring entities in news streams
Entities, like people, organizations and products, are at the core of multiple techniques and applications devised to automatically process text documents. One of these applications is reputation analysis, for example, in monitoring through news streams the stock performance of a company or a scandal around a celebrity. This task is referred to as online reputation management, and deals with identifying and mining textual contexts from media streams, for example, sentences in news articles, in which a given entity occurs. In order to identify such contexts, it is necessary to perform entity linking: detect mentions of entities and disambiguate them.
Although these problems are usually addressed with methods that rely on knowledge bases, this kind of semantic resources is limited by the amount of information available for a given entity. New companies, new celebrities, new movies: new entities emerge on a daily basis, for which very limited to none information is yet available in knowledge repositories. There is then a need for quickly acquiring representations for these long-tail entities (entities at the tail of the prominence distribution), possibly by benefiting from similar entities for which monitoring is already more accessible.
As an example, consider the entity Isai, a then-novel investment fund. Since it is just emerging, the entity name occurs in very few textual contexts. How to collect as many of these contexts as possible, to use them to model entity linking for this entity, given that other entity like the movie Isai also occurs in other textual contexts, and we are not able yet to properly differentiate between them?
In our project, the main underlying idea is to utilize established entities (referred to as support entities, with rich KB entries) similar to the input entity, and their contexts (support contexts), to rank the contexts in which the input entity is mentioned. Specifically, we first perform support entities ranking (SER), to get a ranked list of entities that are similar to our entity of interest. Next, we identify support contexts for each support entity via traditional entity linking (support context ranking, SCR). Finally, we rank contexts for our input entity by considering their similarity to the support contexts (context-to-context ranking, CCR).
If you are interested in more of this, please read our article, for the technical details about how we:
- formalize the problem of context retrieval for long-tail entities;
- detail our proposed approach to acquire contextual representations for these long-tail entities in an unsupervised fashion;
- build a curated test collection of long-tail entities and relevant contexts;
- and show experimentally that our method substantially outperforms both an entity linking and a retrieval baseline.


{% load otree %}
Thank you for agreeing to take part in an online auction. Each participant’s identity will be kept confidential and not revealed to any of the other participants. Please read the following instructions for this auction carefully.
This auction involves buying a single "fun size" M&M packet (1.69 oz) from the participant stating the lowest ask price. All participants will state their ask prices privately and therefore no participant can gain by delaying to submit his/her ask price. Only the winner of this auction will be paid the amount s/he stated. In the case of a tie, one of the participants stating the lowest ask price will be randomly chosen as the winner. Prior to participating in the auction, think about the minimum price at which you would be willing to sell an M&M packet. You will be paid in U.S. currency.
Please notice that in this auction (called a reverse first price sealed bid auction), it is in your best interest to state an ask price which is equal to the minimum price you are willing to accept for a packet of M&Ms. You can do no better, and will sometimes do worse, by lying about your minimum price. If you state an ask price which is higher than the minimum price at which you are willing to sell, you may miss out on selling a packet of M&Ms at a price you would be willing to accept for the packet. If your ask price is lower than the minimum price you are willing to accept, you may end up having to give up the packet of M&Ms for a price lower than what you normally would be willing to accept.
By clicking on the “Next” button below, you will be taken to a page where you will be required to enter your ask price. You can enter amounts in U.S. currency units to the nearest cent. For example, 100.02 means that your ask price is 100 dollars and 2 cents. Once all participants in this auction have stated their ask price, the winner of this auction will be determined and all participants will be informed about the outcome of this auction. Additionally, using a simple graph, we will demonstrate how the ask prices stated by all of the participants can be interpreted as points along the supply curve for the auctioned object. Note that each participant’s ask price represents his/her reservation price, that is, the minimum price s/he is willing to accept (WTA) to part with the object. This concept is also referred to by using the term marginal cost (MC). By sorting these prices from lowest to highest and with prices measured along the vertical axis and the quantity (i.e. the volume of ask prices) accounted for along the horizontal axis, plotting the data yields the supply curve.


localbi
The analysis engine that runs locally. On mobile. On desktop. On anything with a browser.
Click a field value to filter
◈ Active value (available in the dataset with the selected filters)
◇ Dormant value (not available in the dataset with the selected filters)
Click a field heading to sort ascending/descending
▲ Sorted ascendingly
▼ Sorted descendingly
Other buttons
❖ Slice all the visualisations by one field
◇ Clear all filters in a field
⬖ Invert filters in a field
Special shout out to BrowserStack for an awesome toolset to check mobile cross-browser compatibility. You guys rule!


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Copyright © 2009 Oliver Kowalke
Distributed under the Boost Software License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt)
Last revised: January 23, 2010 at 19:16:18 GMT |


Plays
Developing a business case is not a linear process. You will need to refer to each Play at multiple points as you draft and refine your business case.
Each Play consists of four parts:
- A description of the purpose and key steps in the Play.
- A description of the key activities for the Play.
- Questions to help you consider the issues.
- Links to further information and resources, such as examples of how other countries tackle the components of the Play.


Walter Futch: React 2 (Project Lead)
John Green: React 1
Nghi "Thatcher" Phan: Backend
Elijah Atkins: UI
Jordan Oliver: UI


Getting started
All you need from A to Z to getting started are available.
Pricing plan
All you need from A to Z to getting started are available.
best offer
All you need from A to Z to getting started are available.
If you need our help, have questions about how to use the platform or are experiencing technical difficulties, please do not hesitate to contact us.
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--- layout: page title: Blog subtitle: Latest news on MXNet and its ecosystem permalink: /blog/ action: See All Blog Posts action_url: https://medium.com/apache-mxnet ---


quotek::data::
records
¶records is a class that is is a quotek::data::record container
Public Functions
records
()¶Class Constructor
records
(std::vector<std::tuple<long, float, float>> &data)¶Class constructor 2. Takes a vector of (timestamp,value,spread) tuples to construct a records object.
data
- vector of (long,float,float) tuples.
records
(std::vector<float> &data)¶Class constructor 3. Takes a vector of float values to construct a records object. With this constructor, spread is systematically left to 0 and timestamp ranges (1..data.size())
data
- vector of float.
records
(std::vector<quotek::data::record> &data)¶Class constructor 4. Takes a vector of quotek::data::record values to construct a records object.
data
- vector of quotek::data::record.
~records
()¶Class Destructor
search
(long search_timestamp)¶search performs a binary search inside a vector of records given a timestamp.
recs
- the record dataset to search in
search_timestamp
- the timestamp to search for inside the dataset.
sample
(long time_inf, long time_sup)¶sample is a method to extract a subvector of records from a vector of records, given starting and ending timestamps. Note: timestamps can be negative, in which case the real timestamps are time() + time_inf, time() + time_sup.
recs
- the record dataset to extract sample from.
time_inf
- epoch timestamp for first element of sample.
time_sup
- epoch timestamp for the last element of sample.
extract
(int start_offset, int size)¶to create a new subvector.
recs
- record dataset to extract data from.
start_offset
- the element index from which to start extract
size
- the size of the extract.
extract
(int n)¶Alternative extract function, for extraction of the last elements of a quotek::data::records container.
n
- number of last elements to add in the returned container.
down_sample
(int period, float tick, std::string method)¶Downsample reduces the amount of points in the dataset by agrregating data in “period” intervals. How down sampling methods work:
period
- size of the aggregate, in seconds.
tick
- tick exprimed in seconds of records dataset. down sampling method. Method can be either “close”, “HL2”, “typical”, “OHLC4”.
Note about down sampling: spread values are not kept in resulting dataset it would not make any sense to do so. therefore, they’re all 0 in resulting dataset.
get_data
()¶Retrieves a vector of quotek::data::record.
export_timestamps
()¶Retrieves a vector that contains all the timestamps of the dataset.
export_values
()¶Retrieves a vector that contains all the values of the dataset.
export_spreads
()¶Retrieves a vector that contains all the spreads of a dataset.
size
()¶returns size of container.
append
(float value)¶Adds new entry to records container (value only)
append
(long timestamp, float value)¶Adds new entry to records container (no spread)
append
(long timestamp, float value, float spread)¶Adds new entry to records container (with spread)
str
(const bool add_timestamps)¶str takes the data inside the records container and transforms it to a json-formated string.
add_timestamps
- if true, record timestamp will be added to the string.
to_vector
()¶Similar to export_values, but instead of returning an std::vector<float>, it returns an Eigen::VectorXd (dvector) data structure.
to_matrix
(const bool add_timestamps)¶Converts the quotek::data::records structure to an Eigen::MatrixXd (dataset) structure.
add_timestamps
- tells if timestamps must be added to vector or not.
The code below will show you how to manipulate records containers to store and retrieve time-series data.
#include <quotek/record.hpp>
#include <iostream>
using namespace quotek::data;
int main() {
//First we create a vector of float values as fake data.
std::vector<float> vals = { 4530, 4575, 4890, 4235, 4144, 4356, 4588, 4720, 4989 };
//Then we can import these values inside a records container.
records r1(vals);
//We can iterate through this container with a simple loop:
for (int i=0; i< r1.size(); i++ ) {
//we assign a fake timestamp and spread value to record at position i
r1[i].timestamp = time(0);
r1[i].spread = 0;
//Prints the value of record at position i
std::cout << r1[i].value << std::endl;
}
//To append some data in the container, you must use the append() function:
r1.append(time(0),4794,0);
//Also works, it will not assign any value to timestamp and spread for the newly added record.
r1.append(4794);
//Alternatively you can create a record object then append it to the container:
record trec;
trec.timestamp = time(0);
trec.value = 4794;
trec.spread = 0;
r1.append(trec);
}


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Category: tutorial 2018 Stock Prediction with ML: Feature Selection Jul 12 2018 Stock Prediction with ML: Feature Engineering Jul 09 2018 Stock Prediction with ML: Data Management Jul 05 2018


Playing with Physics
Every dataset is different. Nodes can have different sizes based on content, interconnectivity can be high or low etc. Because of this, network has a special option
that the user can use to explore which settings may be good for him or her. This is ment to be used during the development phase when you are implementing vis.js. Once you have found
settings you are happy with, you can supply them to network using the documented physics options.
On start, the default settings will be loaded. Keep in mind that selecting the hierarchical simulation mode disables smooth curves. These will not be enabled again afterwards.


JOSIE AND THE PUSSYCATS A film review by Norm Schrager Copyright 2001 filmcritic.com filmcritic.com
Remember all those television-themed movies in the 90s, big-screen versions of TV favorites that were devoid of any energy (The Flintstones, The Beverly Hillbillies, The Little Rascals, Sgt. Bilko)? Well, forget that problem with Josie and the Pussycats. This pop culture comedy is just popping with giggles, laughs, rockin' tunes, a smart script, and an infectious spirit.
If you're old enough to remember the Josie and the Pussycats cartoon (from the Archie comics), but young enough to have actually watched it, you'll dig this. The plot is a kick -- a trio of peace-loving, friends 4-ever, rockin' chicks get hurled into the limelight as the next big thing... only to realize they're just a corporate vessel carrying subliminal messages that make teenagers part with their cash.
It's the same idea as last year's failed Adventures of Rocky and Bullwinkle, but this is faster and sharper, with the sly flavor of an Austin Powers or perhaps, a Wayne's World. Director-writers Harry Elfont and Deborah Kaplan create a pseudo-futuristic setting where product placement is in every nook and cranny of life -- right down to the McDonald's washcloth in the hotel that's shaped like an order of fries. Visual jokes like these come in piles, and if you blink, you might miss some awfully good ones (quick magazine headline: Barrymore, Diaz, & Liu to star as Pussycats!)
But let's not get carried away. The story is often mighty thin, but in a movie revolving around rock music, no problem: music video time! Sounds easy, and it probably is easy, but here it works. The Pussycats -- Rachael Leigh Cook, Tara Reid, and Rosario Dawson -- play around in the montages with unparalleled adrenaline and happiness, and the songs are flat-out great rock tunes (real lead vocals by Boston rock hottie Kay Hanley). The videos are edited with an MTV flair, but without falling into parody.
A surprisingly plodding final act is saved by our two villains: music moguls played by Alan Cumming and Parker Posey. Both rip into their roles, chewing up the dialogue and the scenery with an appropriate zest, getting nearly all the laughs and looking like they're having a great time, too.
Be aware, however, that some demographics are just not going to get this. If you know about today's boy bands, but are smart enough to realize they're as processed as Hormel meats, this is for you. If you know the connection between Pussycat Tara Reid and MTV darling Carson Daly, then this is really for you.
 There's probably another show and another adventure just around the corner. Pussycats in Outer Space, anyone?

Visit filmcritic.com on the Web at http://www.filmcritic.com
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


---
layout: post
title: Blog reorg
date: '2013-08-22T22:01:00.004-06:00'
author: Jacob .
tags:
- front-page
modified_time: '2013-08-22T22:30:22.536-06:00'
blogger_id: tag:blogger.com,1999:blog-6400085873105072120.post-8959679411372406602
blogger_orig_url: http://www.svlark.com/2013/08/blog-reorg.html
---
I've made some tweaks to the blog. There are 2 new tabs: Homeschooling and Progress. All due to popular demand, you understand. The main Posts tab, served at the base URL, will henceforth be reserved for posts containing relatively "interesting" content actually intended for consumption by casual readers. My daily reports on homeschooling and on steps toward our goal will show up on the new tabs.
Thanks for reading!


Preparation time
over 2 hours
Cooking time
less than 10 mins
Serves
Serves 6-8
Rich, creamy panna cotta served with delicately spiced fruit.
Put the cream, milk, sugar and vanilla pod and seeds in a pan, and slowly bring to the boil.
Soak the gelatine leaves in cold water until soft then squeeze the remove any excess water. Once the cream mixture has come to the boil, stir in the gelatine until dissolved. Strain through a fine sieve into a jug and discard the vanilla pod.
Pour the mixture into moulds or glasses, and leave to cool before transferring to the fridge to set.
Put the red wine, crème de cassis, sugar, rosemary and spices in a pan and bring to the boil. Reduce the heat and allow to simmer for half an hour to infuse the spices.
Add the plums and figs to the red wine, and continue to cook for 2-3 minutes. Remove from the heat, allow to cool slightly, then add the blackberries. Set aside to cool completely.
Serve the cooked fruits with the set panna cotta.


Still thinking..
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Student always and forever
A Technology Enthusiast mainly Software Development
Advanced service, direct contact with the client, in Vila Olímpia-São Paulo/Brazil.
I worked at the Quality Center to inform my desire to work in the IT area. Extract data from SAP and analyzed them in Excel using Python (pandas, numpy, and xlrd).
07th september 2000
<EMAIL_ADDRESS>20 years
São Paulo/SP


Single quote ' escape some symbols after it. For example: "Text '{0}" will result in "Text {0}". To use single quote you have to use: ''


Perhaps somebody way out in Patagonia is seeing TITANIC for the first time today, but for the rest us it is a memory threatening to dissolve in the mist of passing, prematurely distant, weeks.
I remember TITANIC as a sleek and glossy film which in a way is just as phony as the society beetles that infested the doomed ocean liner on its maiden and only voyage. That is not to say that it is not a triumph of technique and virtuosity, polished to a high sheen and resplendent from start to finish. The seeming dichotomy brings home the realization that a movie can be devoid of any trace of imagination and all suspicion of originality and still be a tour de force. TITANIC represents a triumph of the stereotype; it is the epitome of cliché elevated to dogmatic proportions. (For another example of unadulterated cliche risen to the level of virtue one is reminded of Kramer Versus Kramer). And yet, despite its phoniness and brainlessness, it is still a damn good movie because it entertains pleasantly and is beautiful to watch. That one of the most horrid maritime disasters of all time can be transformed into a pleasantly entertaining film which is more beautiful than disturbing is an interesting commentary on the virtuosity of the Hollywood alchemists.
But I overstate my case. The juxtaposition of the contemporary with the historical was indeed a fine creative touch (albeit not astoundingly original); but standing by its lonesome outside of the story, it is insufficient to save the rest of the film from the rap of wall to wall cliches and lack of imagination. Beyond that, I searched my recollection for flashes of originality and came up with nothing more than the whistle scene. Even the touted device of spiriting out an old survivor to tell the story of a long-ago disaster is hardly an immaculate conceptus.
Still TITANIC succeeds splendidly as a fairy tale. It is De Caprio's second crack at the Romeo and Juliet thing, and this time he gets it right. I can understand why he boycotted the Academy Awards; he was robbed. It is not often that an actor can flesh out a cardboard character and make it vibrant and compelling. Leo unlocked the usually unrealized power of cliches; which is based on the fact that nothing which is not profoundly human can ever become a cliché. It may be that TITANIC was unsinkable, but without Leo it would not have floated as majestic; it would have been just another well made superproduction. Kate was nominated and she was a fine Juliet, but it was Leo, not Kate, who stirred the juices of TITANIC and gave a heart to the tin man. His failure to get even a nomination is a travesty. How often does one get to see a flawless piece of work?
James Cameron deserves full credit for steering TITANIC past a plethora of icebergs, some of his own making; but in proclaiming himself King of the World he went clearly overboard. I also fail to understand the wisdom or merit of carrying the authenticity concept beyond the simulation of splendor, which is all that the camera can see. The camera doesn't care if it's real mahogany; it just wants it to look like mahogany. Cameron could have saved a bundle by simply growing up. After all, his crown and scepter ARE phony.
TITANIC is not an important film the way GONE WITH THE WIND and GHANDI are. It is important only as a big, well made film; it is another triumph of style over substance. Not that there is anything wrong with that. If one can not be both skillful and original, mere skill can still deliver a worthy product.
4 1/2 stars out of 5 Jerry<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


nips nips2005 nips2005-200 nips2005-200-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Jeremy Kubica, Joseph Masiero, Robert Jedicke, Andrew Connolly, Andrew W. Moore
Abstract: In this paper we consider the problem of ﬁnding sets of points that conform to a given underlying model from within a dense, noisy set of observations. This problem is motivated by the task of efﬁciently linking faint asteroid detections, but is applicable to a range of spatial queries. We survey current tree-based approaches, showing a trade-off exists between single tree and multiple tree algorithms. To this end, we present a new type of multiple tree algorithm that uses a variable number of trees to exploit the advantages of both approaches. We empirically show that this algorithm performs well using both simulated and astronomical data.
[1] A.J. Storkey, N.C. Hambly, C.K.I. Williams, and R.G. Mann. Renewal Strings for Cleaning Astronomical Databases. In UAI 19, 559-566, 2003.
[2] M.A. Fischler and R.C. Bolles. Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography. Comm. of the ACM, 24:381–395, 1981.
[3] S. Blackman and R. Popoli. Design and Analysis of Modern Tracking Systems. Artech House, 1999.
[4] J.L. Bentley . Multidimensional Binary Search Trees Used for Associative Searching. Comm. of the ACM, 18 (9), 1975.
[5] J. K. Uhlmann. Algorithms for multiple-target tracking. 80(2):128–141, 1992. American Scientist,
[6] P. V. C. Hough. Machine analysis of bubble chamber pictures. In International Conference on High Energy Accelerators and Instrumentation. CERN, 1959.
[7] A. Gray and A. Moore. N-body problems in statistical learning. In T. K. Leen and T. G. Dietterich, editors, Advances in Neural Information Processing Systems. MIT Press, 2001.
[8] G. R. Hjaltason and H. Samet. Incremental distance join algorithms for spatial databases. In Proc. of the 1998 ACM-SIGMOD Conference, 237–248, 1998.
[9] J. Kubica, A. Moore, A. Connolly, and R. Jedicke. A Multiple Tree Algorithm for the Efﬁcient Association of Asteroid Observations. In KDD’05. August 2005.
[10] H. Li, M.A. Lavin, and R.J. Le Master. Fast Hough Transform: A Hierarchical Approach. In Computer Vision, Graphics, and Image Processing, 36(2-3):139–161, November 1986.


vignettes/import_instruments.Rmd
import_instruments.Rmd
The same functionality should help deal with instruments that are
potentially given repeatedly. Common examples include asking
participants to fill out a form describing medical conditions for all
their siblings or asking them to fill out a form for each side effect
they experience while using a drug. In these cases, each participant may
have zero or many records. Again, creating a table with all the records
for these “repeated” instruments would be good.
# Do not type your API token directly into your code
tidyREDCap::import_instruments(
url = "https://redcap.miami.edu/api/",
token = "1A2B3CXXYYZZOOMMGOSHNOOOOX1Y2Z3" # This is BAD!
)
# A better way to do this is to read the API key from the .Renviron file.
# For instructions on saving your API key, see link below.
tidyREDCap::import_instruments(
url = "https://redcap.miami.edu/api/",
token = Sys.getenv("nacho_anxiety_key") # This is BETTER!
)
See the Importing from REDCap vignette for details/information for saving your API key in the .Renviron file.
The import_instruments()
function can be given a URL and
token for a REDCap project, like the one created above and it will
return one table for each instrument in a project. By default, the
function will drop all empty records. For example, the above API call is
pulling data from a REDCap project that has four instruments:
Enrollment, the Nacho Craving Index (NCI), the Generalized Anxiety
Disorder Assessment (GAD7), and the Hamilton Anxiety Scale (HAM-A).
After running the above code we get four tables from the REDCap project.
Notice that each repeat of the HAM-A is its own record.
If a person has only done the baseline assessment they will only have one record.


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Note: The input element with type="datetime-local" do not show as any datetime field/calendar in Firefox or in IE12 and earlier versions.


Backbone.Select
Custom label demo for a Select.Many collection (AMD)
Select.Many collection
Selected
Starred
Loved


Suppose you want to buy a $350,000 house, and you plan to get a 30-year fixed mortage (interest rate 4.87%) with a 20% down payment. What’s your monthly repayment? How much of it will go towards interest and how much will go towards the principal?
Notice the mortgage amount you are borrowing is $280,000 (80% of the house price), and there’re 360 monthly payments you need to make.
The calculation of the monthly payment involves 2 steps conceptually:
- Calculate the simple monthly rate by dividing the interest rate by 12. This is because the quoted interest rate is (almost always) an annual rate (APR).
- The mortgage amount, monthly payment amount and monthly rate are related by the present value formula for annuities. Knowing any two of them, we can easily solve for the 3rd one.
These 2 steps are carried out in the following R code block.
So every month, you’re expected to make a payment of $1480.93 back to your lender. The interest is calculated by multiplying the outstanding principal at the beginning of the month by the monthly rate, and the reducible amount of principal is obtained by subtracting interest from the monthly payment $1480.93. The following code block calculates the payment schedule (also called amortization schedule) for the first 12 payment months.
| month | interest | principal | balance |
|---|---|---|---|
| 1 | 1136.333 | 344.6000 | 279655.4 |
| 2 | 1134.935 | 345.9985 | 279309.4 |
| 3 | 1133.531 | 347.4027 | 278962.0 |
| 4 | 1132.121 | 348.8126 | 278613.2 |
| 5 | 1130.705 | 350.2282 | 278263.0 |
| 6 | 1129.284 | 351.6495 | 277911.3 |
| 7 | 1127.857 | 353.0766 | 277558.2 |
| 8 | 1126.424 | 354.5096 | 277203.7 |
| 9 | 1124.985 | 355.9483 | 276847.8 |
| 10 | 1123.541 | 357.3928 | 276490.4 |
| 11 | 1122.090 | 358.8432 | 276131.5 |
| 12 | 1120.634 | 360.2995 | 275771.2 |
The R code I give above should be very comfortable to you. If you ask 10 R users to program a mortgage payment schedule calculator, 8 of them probably will give you something similar. However, if you understand the behavior of R environments and <<-
, you can code it up differently. In the next blog post, I’ll explain how environments work and code up the same calculator in a different fashion using <<-
.
PS: I’ve put the above code pieces in a function for ease of use.


PEXELS
A site which provides stock photos under creative commons, allowing public use and modifications without any paid license. Almost all photos on our site are derived form this site. The reousrces provided fall under the
CC0 License
Website can be found here: https://www.pexels.com


Facilitate Post Vortex Simulation Analysis by offering tools to collate multiple Vortex (v10) output files into one R object, and analyse the collated output statistically. Vortex is a software for the development of individual-based model for population dynamic simulation (see <http://www.vortex10.org/Vortex10.aspx>).
| Version: | 1.1.5 |
| Depends: | R (≥ 3.1.0) |
| Imports: | betareg, data.table, ggplot2, glmulti, gtools (≥ 3.4.2), GGally (≥ 1.3.0), irr, plyr, R.utils, stringr, vortexRdata (≥ 1.0.3) |
| Suggests: | devtools, gridExtra, knitr, rmarkdown, roxygen2, testthat |
| Published: | 2018-05-15 |
| Author: | Carlo Pacioni [aut, cre], Florian W. Mayer [aut] |
| Maintainer: | Carlo Pacioni <C.Pacioni at Murdoch.edu.au> |
| BugReports: | https://github.com/carlopacioni/vortexR/issues |
| License: | GPL-3 |
| URL: | https://github.com/carlopacioni/vortexR/ |
| NeedsCompilation: | no |
| Citation: | vortexR citation info |
| Materials: | README |
| CRAN checks: | vortexR results |
| Reference manual: | vortexR.pdf |
| Vignettes: |
vortexR: user's guide |
| Package source: | vortexR_1.1.5.tar.gz |
| Windows binaries: | r-devel: vortexR_1.1.5.zip, r-release: vortexR_1.1.5.zip, r-oldrel: vortexR_1.1.5.zip |
| OS X binaries: | r-release: vortexR_1.1.5.tgz, r-oldrel: vortexR_1.1.5.tgz |
| Old sources: | vortexR archive |
Please use the canonical form https://CRAN.R-project.org/package=vortexR to link to this page.