Photos: Efia Odo’s See Through Net Dress to 2019 4Syte Music Video Awards
by Ghbase StaffTrust Efia Edo to always wear something to the red carpet that would make it in the headlines and she certainly planned to be in the headlines when she made this choice of a dress to the 2019 4Syte Music Video Awards.
The actress and Tv personality who loves controversies was spotted at the 2019 MVAs wearing this see-through net dress like no nobody’s business and she was not shy about it.
See the photos and video below:
Watch the video below


--- layout: post title: A Brief Introduction to Certificate-Based Security in Apache CXF date: 2013-11-22 10:58:19.000000000 -08:00 categories: - Programming tags: [] status: draft type: post published: false meta: _edit_last: '1' author: login: siegedog email<EMAIL_ADDRESS>display_name: siegedog first_name: '' last_name: '' excerpt: !ruby/object:Hpricot::Doc options: {} ---
- this isn't clearly documented anywhere
- I felt that the official tutorial was a bit lacking in explanations
- this will be a chance for myself to solve this issue as well
- complicated steps for managing certificates


Accepted for oral presentation at the Alternate Track on
Journalism, Misinformation, and Fact-checking at The Web Conference 2018.
DOI: 10.1145/3184558.3188724
This post aims to support our work on selection bias in the context
of news coverage. The full paper can be found here [.pdf, 1.8Mb]
,
and the code is available on Github.
To cite use the following .bib
.
We present the motivation for the project, and an interactive data visualisation of the
learned relationships between news sources.
News entities have to select and filter the coverage they broadcast through their respective channels, since the set of world events is too large to be treated exhaustively. The subjective nature of this filtering induces biases due to, among other things, resource constraints, editorial guidelines, ideological affinities, or even the fragmented nature of the information at a journalist's disposal. The magnitude and direction of this bias are, however, widely unknown. The absence of ground truth, the sheer size of the event space, or the lack of an exhaustive set of absolute features to measure makes it difficult to observe the bias directly, to characterize the leaning's nature and to factor it out to ensure a neutral coverage of the news.
In this work, we introduce a methodology to capture the latent structure of media’s decision process at a large scale. Our contribution is multi-fold. First, we show media coverage to be predictable using personalization techniques, and evaluate our approach on a large set of events collected from the GDELT database. We then show that a personalized and parametrized approach not only exhibits higher accuracy in coverage prediction, but also provides an interpretable representation of the selection bias. Last, we propose a method able to select a set of sources by leveraging the latent representation. These selected sources provide a more diverse and egalitarian coverage, all while retaining the most actively covered events.
This figure presents a visualisation of learned low-dimensional representation of the sources' selections in terms of coverage. We then apply an unsupervised clustering algorithm to cluster the group by similarity in this space.


After you entered at least three characters the autocomplete function will show all possible matches.


You are viewing an historical archive of past issues. Please report new issues to the appropriate project issue tracker on GitHub.
Issues
| # | Summary | Product | Status | Kind | When |
|---|---|---|---|---|---|
| 670 |
Synergy does not start at login |
Synergy | closed | bug | Created , updated |
| 669 |
Shuffle button in menu bar |
Synergy | open | feature request | Created , updated |
| 668 |
Work around iTunes 7.6.1/7.6.2 cover art bug |
Synergy | closed | bug | Created , updated |
| 667 |
Hide "communication rate" slider in preferences UI |
Synergy | closed | bug | Created , updated |
| 666 |
Synergy randomly crashing |
Synergy | closed | bug | |
| 665 |
Synergy disappears with a bus error |
Synergy | closed | bug | Created , updated |
| 664 |
Quitting |
Synergy | closed | bug | Created , updated |
| 663 |
Crash |
Synergy | closed | bug | |
| 662 |
Crash |
Synergy | closed | bug | |
| 661 |
Crash |
Synergy | closed | bug |


America's Heartland has been hallowed out and now the only thing that remains are the archological relics of a long lost past. Take the 60 east till the tall buildings and housing is long in the rear view mirror and wander off the freeway and its there, the sights of a once great industrial mecca now laying mostly fallow. Its a strange and surreal mash up of building and industrial plants that is devoid of people by day though the signs of their presence is unavoidable. Use caution after dark.


Tests that re-adding a media element to the document, having a child track that failed loading doesn't block video from playing


{% extends "base/base.html" %} {% load static about_tags %} {# Meta #} {% block description %} About | SWE - University of Louisiana at Lafayette {% endblock %} {% block title %} About | SWE - University of Louisiana at Lafayette {% endblock %} {# Page Styles #} {% block page_css %} {% endblock %} {# Header #} {% block headerBackground %} url(' {% static 'about/group.jpg' %} ') {% endblock %} {# this page will not have a gradient over the masthead, so leave this empty #} {% block gradient %} {% endblock %} {% block headerHeading %} About Us {% endblock %} {% block headerSubheading %}{% endblock %} {# this page will not have a button on the masthead, so leave this empty #} {% block headerButton %} {% endblock %} {# First Block #} {% block firstBlockImage %} {% static 'base/img/swe-ull-color-logo.png' %} {% endblock %} {% block firstBlockText %} Founded 10 years ago, SWE ULL strives promotes STEM among women in the Lafayette Area. Through SWE, you will have access to:


Tic-Chat-Toe
Welcome, {{userName}}
Log In or Register
Turn off sounds
Turn on sounds
Send
{{message.uuid}}
: {{message.message}}
Open Games{{gamesOpenCount()}}
{{game.name}}
by {{game.userHosting}}
board: {{game.boardSize}}, win: {{game.streakLen}}
{{game.requested? 'Waiting!' : 'Challenge' }}
{{element.label}}:
Create new game!
{{game.name}}:
{{game.playerWinner}} beat {{game.playerLoser}}
{{game.name}}:
{{game.playerWinner}} beat {{game.playerLoser}}
{{game.name}}
X
Current player:
{{game.playerCurrent}}
Game over!
{{col.player}}
Send
{{message.uuid}}
: {{message.message}}


Game info
Type: Simple - Decks: 1 deck (52 cards) -
Redeals: None
- Game time: Quick
- Difficulty level: Easy
- Skill level: Mostly chance
- Chance of winning: Low (about 1 in 25)
Object of the game: Move all the cards to the foundation.
Rules
Foundations (One pile, next to the stock)
- There is only one foundation, which is dealt face up at the start of the
game.
- Build up or down, regardless of suit. For example, on a 10
you can place either a 9
or a Jack
.
- Ranking of cards is not continuous: an Ace may be built only on a 2, a King
only on a Queen.
Tableau (Seven columns of five cards each)
- No building on the tableau.
- The top card of each pile is available for play to the foundation.
Stock (Sixteen cards)
- When there are no more possible plays, turn cards up, one at a time, to
the foundation by clicking.
- There is no redeal.
Strategy
- Be careful to save Queens for Kings, and Twos for Aces.
- When you can play more than one card to the foundation, look at which cards
will be exposed. Try to play the card that will maximize the number of cards
you can remove.
- Remembering what cards have been played will prove useful.


--- layout: article title: SOON project subtitle: Social Network for Machines article_header: type: overlay background_color: '#fcfcfc' background_image: false ---
This project proposes to investigate the impact of the use of autonomous social agents to optimise manufacturing process in the framework of Industry 4.0. "Social" means that cyberphysical entities will act autonomously in order to optimize an industrial process following behaviour models inspired by human social networks. Currently, in Industry 4.0, smart entities do exist. However, intelligence is localised and intelligent heterogeneous entities cannot communicate together even inside the same shop-floor. Our motivation comes from the observation that, if we want to create a real Internet of Everything that brings together processes, data, things, and people, all these entities have to be connected and follow a shared, easy to understand paradigm.
In this project, we propose a holistic multi-agent paradigm that encompasses machines and humans. The presence of human operators is therefore crucial both to teach to and to learn from software agents, via deep learning and data mining algorithms. Agents will take decisions merging and analysing big and heterogeneous data produced by sensors (vibration, temperature, etc.), information available in the company information systems (such as enterprise resource planning and manufacturing execution system), and humans in real-time.
CHIST-ERA is a programme for European Coordinated Research on Long-term Information and Communication Technologies (ICT) and ICT-based scientific challenges.
CHIST-ERA is a coordination and co-operation activity of national and regional research funding organisations mainly in Europe and is supported by the Horizon 2020 Future and Emerging Technologies (FET) programme of the European Union through the ERA-NET Cofund funding scheme.


QuickStart : Ionize in 4 steps
Just after installing Ionize, the first question is mainly : "And now ?"
4 first steps will help you to start your website :
- Creating a theme,
- Creating a page view,
- Activate the view,
- Link this page to you content
1. Creating your theme
All themes are located in the folder: /themes/.
To create your own theme :
- Copy or rename the folder default. No spaces or special chars are allowed in the folder name.
- Select this theme in the Settings->Themes panel of Ionize and save.
- Start editing the files in the views folder.
Important: The 3 folders in red (config, helpers, views) must be present in your theme folder.
2. Creating a page view
You're now able to start to create your own views.
In the folder /themes/my_theme/views/, create the file called "my_page.php" and add the following code inside :
// This will display the page title <ion:title tag="h2" /> // Here, we will loops through the articles linked to the page <ion:articles> // Displays the article title
<ion:title />
 // Displays the article content <ion:content /> </ion:articles>
3. Activate your view in Ionize
A view can be used in 3 ways :
- For pages
- For articles
- To be used as partial in another view.
Page and articles views must be activated so Ionize can add them to the "view" list in the page and article panels.
In Ionize, go to : Settings > Themes...
This panel shows the views PHP files.
For each view, you can enter a logical name, which will be in the view list of the page edition panel, and set the type ("article" or "page").
4. Link a view to your content
First of all create a page in Ionize :
Then select your view in the view list :
You're done!
Once your views are activated, they will be available for people who will edit the content.
And now ?
Add data to your page view : Have a look to the tag reference


 Helped with making slides and/or given a few lectures on the following subjects:
| Lecture |
Slides |
| Introduction to Mixture Models |
|
| Maximum Likelihood Estimation |
|
| \chi square distribution |
|
| Bayesian Hypothesis Testing (binary) |
|
| Bayesian Hypothesis Testing (multiple hypotheses) |
|
| Bayesian Hypothesis Testing (2 deterministic signals) |
|
| Bayesian Hypothesis Testing (multiple deterministic signals) |
|
| Introduction to Composite Hypothesis Testing |
|
| Introduction to Composite Hypothesis Testing |
|
| Composite Hypothesis Testing (bayesian approach) |
|
| Composite Hypothesis Testing (GLRT) |
|
| Asymptotic distribution of the GLRT |
|


WITNESS LIST Health & Human Services Committee February 6, 2003 -10:00A Overview of major health and human ON: Hawkins, Albert Commissioner (Health and Human Services Commission), Austin, TX Hine, Jim Commissioner (Texas Department of Human Services), Austin, TX Sanchez, Eduardo Commissioner (Texas Department of Health), Austin, TX Registering, but not testifying: On: Cooke, Jason Director, Medicaid / Chip Operations (Texas Health and Human Services Commission), Austin, TX Suehs, Thomas Chief Financial Officer (Health and Human Services Commission), Austin, TX


Tulsa's New Year's Eve Bash is back for the 22nd year of fun and excitement. Be sure to arrive early for all of the festivities and the final countdown. The party starts on December 31 at noon with the FrostiRun 5K and 10K races. Sign up now or the morning of the race.Family fun is available at the Kid's Korner with booths and free activities for the whole family, including performances from Tulsa's own Chester the Jester. Tulsa's New Year's Eve Bash is back for the 22nd year of fun and excitement. Be sure to arrive early for all of the festivities and the final countdown. The party starts on December 31 at noon with the FrostiRun 5K and 10K races. Sign up now or the morning of the race.Family fun is available at the Kid's Korner with booths and free activities for the whole family, including performances from Tulsa's own Chester the Jester. Tulsa's New Year's Eve Bash is back for the 22nd year of fun and excitement. Be sure to arrive early for all of the festivities and the final countdown. The party starts on December 31 at noon with the FrostiRun 5K and 10K races. Sign up now or the morning of the race.Family fun is available at the Kid's Korner with booths and free activities for the whole family, including performances from Tulsa's own Chester the Jester.
The fun continues with A Taste of Tulsa from Tulsa's best eateries, and the artistically inclined should plan on attending the Winter Art Fair on Tulsa's downtown square. Music from Lester's Blues Band and The Jazz Express brings us into the New Year. The dancing starts at 7 p.m. and continues until midnight. From 10 to 11 p.m. we say goodbye to the old year (and ring in the new) with the famous New Year's Eve Bash fireworks spectacular. Tulsa's New Year's Eve Bash is back for the 22nd year of fun and excitement. Be sure to arrive early for all of the festivities and the final countdown. The party starts on December 31 at noon with the FrostiRun 5K and 10K races. Sign up now or the morning of the race.Family fun is available at the Kid's Korner with booths and free activities for the whole family, including performances from Tulsa's own Chester the Jester. Tulsa's New Year's Eve Bash is back for the 22nd year of fun and excitement. Be sure to arrive early for all of the festivities and the final countdown. The party starts on December 31 at noon with the FrostiRun 5K and 10K races. Sign up now or the morning of the race.Family fun is available at the Kid's Korner with booths and free activities for the whole family, including performances from Tulsa's own Chester the Jester.


{: .-three-column}
{: .-intro}
This is a quick reference to getting started with Bash scripting.
{: id=‘functions-example'}
See: Functions
{: id=‘conditionals-example'}
if [[ -z "$string" ]]; then
echo "String is empty"
elif [[ -n "$string" ]]; then
echo "String is not empty"
fi
See: Conditionals
See: Unofficial bash strict mode
| Expression | Description |
|---|---|
{A,B} |
Same as A B |
{A,B}.js |
Same as A.js B.js |
{1..5} |
Same as 1 2 3 4 5 |
See: Brace expansion
{: .-three-column}
name="John"
echo ${name}
echo ${name/J/j} #=> "john" (substitution)
echo ${name:0:2} #=> "Jo" (slicing)
echo ${name::2} #=> "Jo" (slicing)
echo ${name::-1} #=> "Joh" (slicing)
echo ${name:(-1)} #=> "n" (slicing from right)
echo ${name:(-2):1} #=> "h" (slicing from right)
echo ${food:-Cake} #=> $food or "Cake"
See: Parameter expansion
STR="/path/to/foo.cpp"
echo ${STR%.cpp} # /path/to/foo
echo ${STR%.cpp}.o # /path/to/foo.o
echo ${STR%/*} # /path/to
echo ${STR##*.} # cpp (extension)
echo ${STR##*/} # foo.cpp (basepath)
echo ${STR#*/} # path/to/foo.cpp
echo ${STR##*/} # foo.cpp
echo ${STR/foo/bar} # /path/to/bar.cpp
SRC="/path/to/foo.cpp"
BASE=${SRC##*/} #=> "foo.cpp" (basepath)
DIR=${SRC%$BASE} #=> "/path/to/" (dirpath)
| Code | Description |
|---|---|
${FOO%suffix} |
Remove suffix |
${FOO#prefix} |
Remove prefix |
| — | — |
${FOO%%suffix} |
Remove long suffix |
${FOO##prefix} |
Remove long prefix |
| — | — |
${FOO/from/to} |
Replace first match |
${FOO//from/to} |
Replace all |
| — | — |
${FOO/%from/to} |
Replace suffix |
${FOO/#from/to} |
Replace prefix |
| Expression | Description |
|---|---|
${FOO:0:3} |
Substring (position, length) |
${FOO:(-3):3} |
Substring from the right |
| Expression | Description |
|---|---|
${#FOO} |
Length of $FOO |
STR="HELLO WORLD!"
echo ${STR,} #=> "hELLO WORLD!" (lowercase 1st letter)
echo ${STR,,} #=> "hello world!" (all lowercase)
STR="hello world!"
echo ${STR^} #=> "Hello world!" (uppercase 1st letter)
echo ${STR^^} #=> "HELLO WORLD!" (all uppercase)
| Expression | Description |
|---|---|
${FOO:-val} |
$FOO , or val if unset (or null) |
${FOO:=val} |
Set $FOO to val if unset (or null) |
${FOO:+val} |
val if $FOO is set (and not null) |
${FOO:?message} |
Show error message and exit if $FOO is unset (or null)
|
Omitting the :
removes the (non)nullity checks, e.g. ${FOO-val}
expands to val
if unset otherwise $FOO
.
{: .-three-column}
{: .-three-column}
| Expression | Description |
|---|---|
$# |
Number of arguments |
$* |
All postional arguments (as a single word) |
$@ |
All postitional arguments (as separate strings) |
$1 |
First argument |
$_ |
Last argument of the previous command |
Note: $@
and $*
must be quoted
in order to perform as described. Otherwise, they do exactly the same
thing (arguments as separate strings).
See Special parameters.
{: .-three-column}
Note that [[
is actually a command/program that returns
either 0
(true) or 1
(false). Any program that
obeys the same logic (like all base utils, such as grep(1)
or
ping(1)
) can be used as condition, see examples.
| Condition | Description |
|---|---|
[[ -z STRING ]] |
Empty string |
[[ -n STRING ]] |
Not empty string |
[[ STRING == STRING ]] |
Equal |
[[ STRING != STRING ]] |
Not Equal |
| — | — |
[[ NUM -eq NUM ]] |
Equal |
[[ NUM -ne NUM ]] |
Not equal |
[[ NUM -lt NUM ]] |
Less than |
[[ NUM -le NUM ]] |
Less than or equal |
[[ NUM -gt NUM ]] |
Greater than |
[[ NUM -ge NUM ]] |
Greater than or equal |
| — | — |
[[ STRING =~ STRING ]] |
Regexp |
| — | — |
(( NUM < NUM )) |
Numeric conditions |
| Condition | Description |
|---|---|
[[ -o noclobber ]] |
If OPTIONNAME is enabled |
| — | — |
[[ ! EXPR ]] |
Not |
[[ X && Y ]] |
And |
[[ X || Y ]] |
Or |
| Condition | Description |
|---|---|
[[ -e FILE ]] |
Exists |
[[ -r FILE ]] |
Readable |
[[ -h FILE ]] |
Symlink |
[[ -d FILE ]] |
Directory |
[[ -w FILE ]] |
Writable |
[[ -s FILE ]] |
Size is > 0 bytes |
[[ -f FILE ]] |
File |
[[ -x FILE ]] |
Executable |
| — | — |
[[ FILE1 -nt FILE2 ]] |
1 is more recent than 2 |
[[ FILE1 -ot FILE2 ]] |
2 is more recent than 1 |
[[ FILE1 -ef FILE2 ]] |
Same files |
# String
if [[ -z "$string" ]]; then
echo "String is empty"
elif [[ -n "$string" ]]; then
echo "String is not empty"
else
echo "This never happens"
fi
echo ${Fruits[0]} # Element #0
echo ${Fruits[-1]} # Last element
echo ${Fruits[@]} # All elements, space-separated
echo ${#Fruits[@]} # Number of elements
echo ${#Fruits} # String length of the 1st element
echo ${#Fruits[3]} # String length of the Nth element
echo ${Fruits[@]:3:2} # Range (from position 3, length 2)
echo ${!Fruits[@]} # Keys of all elements, space-separated
Fruits=("${Fruits[@]}" "Watermelon") # Push
Fruits+=('Watermelon') # Also Push
Fruits=( ${Fruits[@]/Ap*/} ) # Remove by regex match
unset Fruits[2] # Remove one item
Fruits=("${Fruits[@]}") # Duplicate
Fruits=("${Fruits[@]}" "${Veggies[@]}") # Concatenate
lines=(`cat "logfile"`) # Read from file
{: .-three-column}
Declares sound
as a Dictionary object (aka associative
array).
echo ${sounds[dog]} # Dog's sound
echo ${sounds[@]} # All values
echo ${!sounds[@]} # All keys
echo ${#sounds[@]} # Number of elements
unset sounds[dog] # Delete dog
set -o noclobber # Avoid overlay files (echo "hi" > foo)
set -o errexit # Used to exit upon error, avoiding cascading errors
set -o pipefail # Unveils hidden failures
set -o nounset # Exposes unset variables
shopt -s nullglob # Non-matching globs are removed ('*.foo' => '')
shopt -s failglob # Non-matching globs throw errors
shopt -s nocaseglob # Case insensitive globs
shopt -s dotglob # Wildcards match dotfiles ("*.sh" => ".foo.sh")
shopt -s globstar # Allow ** for recursive matches ('lib/**/*.rb' => 'lib/a/b/c.rb')
Set GLOBIGNORE
as a colon-separated list of patterns to be
removed from glob matches.
| Command | Description |
|---|---|
history |
Show history |
shopt -s histverify |
Don't execute expanded result immediately |
| Expression | Description |
|---|---|
!$ |
Expand last parameter of most recent command |
!* |
Expand all parameters of most recent command |
!-n |
Expand n th most recent command |
!n |
Expand n th command in history |
!<command> |
Expand most recent invocation of command
<command>
|
| Code | Description |
|---|---|
!! |
Execute last command again |
!!:s/<FROM>/<TO>/ |
Replace first occurrence of <FROM> to
<TO> in most recent command
|
!!:gs/<FROM>/<TO>/ |
Replace all occurrences of <FROM> to
<TO> in most recent command
|
!$:t |
Expand only basename from last parameter of most recent command |
!$:h |
Expand only directory from last parameter of most recent command |
!!
and !$
can be replaced with any valid
expansion.
| Code | Description |
|---|---|
!!:n |
Expand only n th token from most recent command (command
is 0 ; first argument is 1 )
|
!^ |
Expand first argument from most recent command |
!$ |
Expand last token from most recent command |
!!:n-m |
Expand range of tokens from most recent command |
!!:n-$ |
Expand n th token to last from most recent command
|
!!
can be replaced with any valid expansion
i.e. !cat
, !-2
, !42
, etc.
python hello.py > output.txt # stdout to (file)
python hello.py >> output.txt # stdout to (file), append
python hello.py 2> error.log # stderr to (file)
python hello.py 2>&1 # stderr to stdout
python hello.py 2>/dev/null # stderr to (null)
python hello.py &>/dev/null # stdout and stderr to (null)
or
traperr() {
echo "ERROR: ${BASH_SOURCE[1]} at about ${BASH_LINENO[0]}"
}
set -o errtrace
trap traperr ERR
printf "Hello %s, I'm %s" Sven Olga
#=> "Hello Sven, I'm Olga
printf "1 + 1 = %d" 2
#=> "1 + 1 = 2"
printf "This is how you print a float: %f" 2
#=> "This is how you print a float: 2.000000"
while [[ "$1" =~ ^- && ! "$1" == "--" ]]; do case $1 in
-V | --version )
echo $version
exit
;;
-s | --string )
shift; string=$1
;;
-f | --flag )
flag=1
;;
esac; shift; done
if [[ "$1" == '--' ]]; then shift; fi
| Expression | Description |
|---|---|
$? |
Exit status of last task |
$! |
PID of last background task |
$$ |
PID of shell |
$0 |
Filename of the shell script |
See Special parameters.
{: .-one-column}


Survey Table
Input mailid and panel to display a project's survey table
Mailid:
Panel:
Australia
Austria
Argentina
Belgium
Brazil
Canada
Canadian Airmiles
Chile
China
Czech Republic
Denmark
Finland
France
Germany
Germany Webmiles
Greece
Hong Kong
Hungary
India
Ireland
Italy
Japan
Korea
Malaysia
Mexico
Netherlands
New Zealand
Norway
Panel Partner
Poland
Portugal
Russia
Singapore
Spain
Sweden
Switzerland
Swiss Webmiles
Taiwan
UK
USA


About 10,000 years ago, Comet ISON left our solar system's distant shell, a region known as the Oort cloud, and began streaking toward the sun. This November, the icy wanderer will reach the climax of its journey, potentially providing a stunning skywatching show here on Earth.
Comet ISON was discovered just last September by two Russian amateur astronomers. Scientists have since recognized ISON as a possible "comet of the century," but to live up to its promise, it will have to survive its dangerous perihelion, or closest approach to the sun.
ISON is what's known as a sungrazing comet. These suicidal objects have orbits that bring them within 850,000 miles of the sun, and scientists estimate that ISON's closest pass will be about 730,000 miles above the surface of Earth's star. [Photos of Comet ISON: A Potentially Great Comet]
Sometime this month or perhaps in August, ISON is set to cross what's called the frost line. At this boundary, which lies some 230 million to 280 million miles from the sun, our star's radiation will start taking its toll on the comet, driving off more of its water and making ISON appear brighter.
ISON's road will only get rockier from there. After the comet flies by Mars in October and then Mercury in mid-November, intensifying solar radiation will boil more material off ISON; pressure from solar particles could break the comet into pieces; tidal forces will create great gravitational stress; and one ill-timed solar storm could rip the comet's tail right off.
All eyes will be on ISON as it makes this perilous journey. The comet has already had its picture taken by NASA's Hubble Space Telescope and Swift spacecraft, and in the coming months, the agency has a slew of ISON observations planned for its solar telescopes in space and some instruments on the ground.
In September, NASA will even launch a comet-watching balloon almost 23 miles above Earth's surface to capture images of ISON with minimal interference from the atmosphere.
If the sun is merciful to ISON when it whips around the star on Nov. 28 (Thanksgiving Day), the comet could light up the sky for weeks. In the Northern Hemisphere, it could be visible in the morning near the east-southeast horizon in early December. Later in the month, and into early January, the comet could be visible all night, according to NASA.
Even if ISON fizzles, tracking the comet's path and reaction to solar forces could shed light on the makeup of the early solar system, scientists say.
Sungrazing comets like ISON sometimes plunge into parts of the sun's fiery atmosphere where no spacecraft can go. Researchers can learn about the sun itself by watching how the comet and its tail interact with the solar atmosphere.
For example, Comet Lovejoy passed just 87,000 miles above the solar surface in mid-December 2011. The strange wiggle of Lovejoy's tail as it dove through the sun's corona helped scientists map out the region's complex magnetic field.
You must login to comment.


Service Worker Docs
Service workers cover alot of material. Here's some places to get started
Google Developers: Service Workers Introduction
Mozilla MDN: Using Service Workers
Make a site off-line tutorial.
Nice cookbook with ~20 service worker patterns labelled beginner to advanced.


Write more about community building events
Meet and greets, how we advertise, participants in the past, what our goals are (imagine someone coming fresh off the street), faculty glade, alumni house, with food, $300 food budget, what is the program of these events look like, how do we recruit students/outreach (ed 198, our lists, and fb) also, end of semester celebration (the only change is what we celebrate)


Source code for lib.LotoUpdaterController
#!/usr/bin/python
# -*- coding: utf-8 -*-
'''
Black market updater controller class used by bmUpdater.py
@author: Martin Dubé
@organization: Hackfest Communications
@license: Modified BSD License
@contact<EMAIL_ADDRESS>Copyright (c) 2015, Hackfest Communications
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.
* Neither the name of the <organization> nor the
names of its contributors may be used to endorse or promote products
derived from this software without specific prior written permission.
 IN NO EVENT SHALL <COPYRIGHT HOLDER> BE LIABLE FOR ANY
DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
'''
import config
import UpdaterController
import random
[docs]class LotoUpdaterController(UpdaterController.UpdaterController):
"""
Black market updater controller class used by bmUpdater.py
"""
BMI_STATUS_COL_ID = 3
def __init__(self):
self._sUser = config.DB_FU_USER
self._sPass = config.DB_FU_PASS
self._sCrtFile = config.DB_FU_CRT_FILE
self._sKeyFile = config.DB_FU_KEY_FILE
super().__init__()
def _getLotoCurrentList(self,top=30):
return self.exec('getLotoCurrentList',top)
def _processLotoWinner(self,walletId):
return self.exec('processLotoWinner',walletId)
def _uniq(self,seq):
seen = set()
seen_add = seen.add
return [ x for x in seq if not (x in seen or seen_add(x))]
[docs] def processWinner(self):
# Get list of participants
lotoCurrentList = self._getLotoCurrentList()
participants = [x[0] for x in lotoCurrentList]
participantsUniq = self._uniq(participants)
participantsName = [x[1] for x in lotoCurrentList]
participantsNameUniq = self._uniq(participantsName)
# Determine a winner
if len(participants) > 0:
print('There are %s participants in the pool. %s are unique' % (len(participants),len(participantsUniq)))
print('Unique participants are: %s' % ','.join(participantsNameUniq))
winner = random.choice(participants)
print('Winner is: %s' % winner)
# Trigger stored proc
return self._processLotoWinner(winner)
else:
print('No participants. Skipping.')
exit(0)


Banners will appear at the top of your toursite as a slide show
You can upload your banners here or if you dont have one you can create it here


I'm a high school student with an interest in computers and anything technical.
More about meI'm currently a senior at Conestoga High School, and live on the East Coast of the U.S. near Philadelphia. I have three siblings and two dogs. In my free time, I like to play videogames, drive my car, and hang out with my friends and family. Currently, my favorite T.V. show is Black Mirror and my favorite food is cereal. From a young age I've been interested in things and how they work, hence my many passions.
Intern during the summer of 2016.
Service staff member from summer to fall of 2017.
Current intern.
I enjoy working on interesting coding projects to solve problems.
I'm interested in cars of all different types. Working on my own is one of my favorite pastimes!
My friend and I love building and testing amateur experimental rockets.
I love playing video games with my friends. One of my current favorites is PUBG.
Current senior graduating in June.
Class of 2022 with the intended major of Computer Science.
Have any questions or comments about my website? Get in contact with me and I'll be sure to reply as soon as possible!
123-456-6789


Before Change
def _recursive_copy(src_dir, dest_dir):
subprocess.check_call(["gsutil", "-q", "-m", "rsync", src_dir, dest_dir])
class ExportLastModelMonitor(tf.contrib.learn.monitors.ExportMonitor):
After Change
When called, dest_dir should exist.
for dir_name, sub_dirs, leaf_files in file_io.walk(src_dir):
// copy all the files over
for leaf_file in leaf_files:
leaf_file_path = os.path.join(dir_name, leaf_file)
_copy_all([leaf_file_path], dest_dir)
// Now make all the folders.
for sub_dir in sub_dirs:
file_io.create_dir(os.path.join(dest_dir, sub_dir))
class ExportLastModelMonitor(tf.contrib.learn.monitors.ExportMonitor):
Export the last model to its final location on GCS.
The tf.learn ExportMonitor exports the models to a location based on the last


Package with utilities
This package contains utility components such as for input data.
Extends from Modelica.Icons.UtilitiesPackage (Icon for utility packages).
| Name | Description |
|---|---|
| HPvector_VectOfHPs | HeatPortVector from vector of HeatPort |
HeatPortVector from vector of HeatPort
This model creates a heat port vector from n heat port.
It is used in WaterPipeExchanging_Nvols.
| Type | Name | Default | Description |
|---|---|---|---|
| Integer | n | 2 | No. of elements |
| Type | Name | Description |
|---|---|---|
| HeatPortVec | vecHP | |
| HeatPort | vecOfHPs[n] |


For exponents, use this format: x^2 is pow(x,2) Make multiplications clear: 5x is 5 * x 12/2rootx is 12 / (2 * pow(x,1/2)) trig and inverse trig examples: sin(x), arcsin(x) csc(x) is 1/sin(x)


You are about to work, collaborate, and learn. Your environment should be set up for that. Find a location that is free from any distraction by other family members, pets, background noises, or cell phones.
Rules No.1
Since the virtual classroom is part of the school environment, the same dress code applies. Items such as tank tops, revealing clothing, or shirts with offensive print are inappropriate for class.
Rules No.2
Classes are relatively short and there’s generally a lot of material to be covered. Starting on time not only shows respect for your classmates and the teacher, but it also frees up more time to ask questions or linger a little longer on more complicated subjects.
Rule No.3
Just like in brick-and-mortar classroom settings, you should come to class with the syllabi and writing material you’ll need to fully participate in the lesson. Of course, any assignment that was scheduled for that lesson should be completed as well.
Rule N0.4
Virtual classrooms can get noisy really quickly. Mute your microphone to keep the audio channel free of clutter and available to the speaker. Communication is also visual.  Eating and drinking is an obvious example here.
Rule No.6
Class participation is mandatory. It will count towards your grade. Participation will ensure that the focus of the class is on the lesson and will help keep things organized and engaged. To be able to participate, you need to pay attention and listen so that you can respond appropriately when it’s your turn to speak.
Rules No.7
As mentioned before, you shouldn’t engage in activities that don’t contribute to the lesson. It’s hard to work on a device that offers you a world of distraction and entertainment. But your computer should be entirely dedicated to the lesson at hand. You can’t properly participate in class and check your social feed at the same time..
Rules No.8
Use the ‘raise hand’ function when you want to speak. Listen to your teacher and classmates and only use the chat function when the teacher asks you to do so or if there is an issue with your connection. Refrain from using strong language or making offensive comments. Class environments are populated with people from all walks of life. Judgment won’t enrich you, but you’ll learn a lot from listening to others and trying to understand them.
Rules No.9


If there are multiple embeds/objects on the page to test, you must select it (by double clicking), else leave blank.
SWF:
Passes: 0Fails: 0
Overview: Flashunit runner is meant to provide a quick and easy way to run your AS tests locally against any SWF that contains the Windmill Flash API compiled in.


{% extends "templates/_base/base.html" %}
{% import "components/detail-intro/_detail-intro.html" as detailIntro %}
{% block content %}
{{ detailIntro.detailIntro(item) }}
{% include "components/detail-main/_detail-main.html" %}
{% include "components/comments/_comments.html" %}
{% include "components/related/_related.html" %}
{% endblock %}


--- layout: page title: About header-img: "img/about-bg.png" ---
I started my career straight from school, going into an engineering apprenticeship following my strengths at problem-solving and finding myself fascinated by the idea of creating stuff that other people would use. Going into the real world, however, engineer careers at typically limited to you playing a small part within a large team of 100s of people. I'm not having the impact I want to have. I'm not getting the excitable feeling that I am creating something that would be of some use to someone else. So I started following my plan B, which is my passion for computers. And this is where this blog starts...


Extends the Lua 5.2 table library, adding more capabilities and functions.
NOTE: Several functions in this module will only work with arrays, which are tables with sequentially numbered keys. All table functions will work with arrays as well, but array functions will not work with tables.
local table = require('__flib__.table')
| deep_compare(tbl1, tbl2) | Recursively compare two tables for inner equality. |
| deep_copy(tbl) | Recursively copy the contents of a table into a new table. |
| deep_merge(tables) | Recursively merge two or more tables. |
| for_each(tbl, callback) | Call the given function for each item in the table, abort if the function returns truthy. |
| for_n_of(tbl, from_k, n, callback[, _next]) | Call the given function on a set number of items in a table, returning the next starting key and the results of the callback. |
| filter(tbl, filter[, array_insert]) | Create a filtered version of a table based on the results of a filter function. |
| invert(tbl) | Invert the given table such that [value] = key , returning a new table. |
| map(tbl, mapper) | Create a transformed table using the output of a mapper function. |
| reduce(arr, reducer[, initial_value]) | “Reduce” an array’s values into a single output value, using the results of a reducer function. |
| shallow_copy(tbl, use_rawset) | Shallowly copy the contents of a table into a new table. |
| size(tbl) | Retrieve the size of a table. |
| slice(arr[, start=1][, stop=#arr]) | Retrieve a shallow copy of a portion of an array, selected from start to end inclusive. |
| splice(arr[, start=1][, stop=#arr]) | Extract a portion of an array, selected from start to end inclusive. |
Recursively compare two tables for inner equality.
Does not compare metatables.
Parameters: Returns:Recursively copy the contents of a table into a new table.
Does not create new copies of Factorio objects.
Parameters:Recursively merge two or more tables.
Values from earlier tables are overwritten by values from later tables, unless both values are tables, in which case they are recursively merged.
Non-merged tables are deep-copied, so the result is brand-new.
Parameters:local tbl = {foo = "bar"}
log(tbl.foo) -- logs "bar"
log (tbl.bar) -- errors (key is nil)
tbl = table.merge{tbl, {foo = "baz", set = 3}}
log(tbl.foo) -- logs "baz"
log(tbl.bar) -- logs "3"
Call the given function for each item in the table, abort if the function returns truthy.
Calls callback(value, key, tbl)
for each item in the table, and immediately ceases iteration if the callback
returns a truthy value.
local tbl = {1, 2, 3, 4, 5}
-- run a function for each item (identical to a standard FOR loop)
table.for_each(tbl, function(v) game.print(v) end)
-- determine if any value in the table passes the test
local value_is_even = table.for_each(tbl, function(v) return v % 2 == 0 end)
-- determine if ALL values in the table pass the test (invert the test result and function return)
local all_values_less_than_six = not table.for_each(tbl, function(v) return not (v < 6) end)
Call the given function on a set number of items in a table, returning the next starting key and the results of the callback.
Calls callback(value, key)
over n
items from tbl
, starting after from_k
.
The first return value of each invocation of callback
will be collected and returned in a table keyed by the
current item’s key.
The second return value of callback
is a flag requesting deletion of the current item.
DO NOT delete entires from tbl
from within callback
, this will break the iteration. Use the deletion flag
return instead.
nil
to start at the beginning of tbl
. If the key does
not exist in tbl
, it will be treated as nil
.
value
and key
as parameters.
next()
function. If not provided, the default next()
will be used.
(optional)
nil
if the end of tbl
was reached.
Pass this as from_k
in the next call to for_n_of
for tbl
.
callback
.
local extremely_large_table = {
[1000] = 1,
[999] = 2,
[998] = 3,
...,
[2] = 999,
[1] = 1000,
}
event.on_tick(function()
global.from_k = table.for_n_of(extremely_large_table, global.from_k, 10, function(v) game.print(v) end)
end)
Create a filtered version of a table based on the results of a filter function.
Calls filter(value, key, tbl)
on each element in the table, returning a new table with only pairs for which
filter
returned a truthy value.
value
, key
, and tbl
as parameters.
local tbl = {1, 2, 3, 4, 5, 6}
local just_evens = table.filter(tbl, function(v) return v % 2 == 0 end) -- {[2] = 2, [4] = 4, [6] = 6}
local just_evens_arr = table.filter(tbl, function(v) return v % 2 == 0 end, true) -- {2, 4, 6}
Invert the given table such that [value] = key
, returning a new table.
Non-unique values are overwritten based on the ordering from pairs()
.
local tbl = {"foo", "bar", "baz", set = "baz"}
local inverted = table.invert(tbl) -- {foo = 1, bar = 2, baz = "set"}
Create a transformed table using the output of a mapper function.
Calls mapper(value, key, tbl)
on each element in the table, using the return as the new value for the key.
local tbl = {1, 2, 3, 4, 5}
local tbl_times_ten = table.map(tbl, function(v) return v * 10 end) -- {10, 20, 30, 40, 50}
“Reduce” an array’s values into a single output value, using the results of a reducer function.
Calls reducer(accumulator, value, index)
on each element in the array, returning a single accumulated output value.
accumulator
value and skipped as index
. Calling reduce()
on an empty
array without an initial_value
will cause a crash.
(optional)
local tbl = {10, 20, 30, 40, 50}
local sum = table.reduce(tbl, function(acc, v) return acc + v end)
local sum_minus_ten = table.reduce(tbl, function(acc, v) return acc + v end, -10)
Shallowly copy the contents of a table into a new table.
The parent table will have a new table reference, but any subtables within it will still have the same table reference.
Does not copy metatables.
Parameters: Returns:Retrieve the size of a table.
Uses Factorio’s built-in table_size
function.
Retrieve a shallow copy of a portion of an array, selected from start
to end
inclusive.
The original array will not be modified.
Parameters:n
items from the end of the array.
(default: #arr)
local arr = {10, 20, 30, 40, 50, 60, 70, 80, 90}
local sliced = table.slice(arr, 3, 7) -- {30, 40, 50, 60, 70}
log(serpent.line(arr)) -- {10, 20, 30, 40, 50, 60, 70, 80, 90} (unchanged)
Extract a portion of an array, selected from start
to end
inclusive.
The original array will be modified.
Parameters:n
items from the end of the array.
(default: #arr)
local arr = {10, 20, 30, 40, 50, 60, 70, 80, 90}
local spliced = table.splice(arr, 3, 7) -- {30, 40, 50, 60, 70}
log(serpent.line(arr)) -- {10, 20, 80, 90} (values were removed)


My academic website has much more information.
Bio. I am currently a PhD Student at College of ISEE, Zhejiang University, China, working with Chunguang Li on Variational Bayesian Algorithms and their applications in Distributed Systems.
Research interests
My Ph.D research work covers a range of issues: variational Bayesian inference, stochastic / distributed optimization, probabilistic graphical models, transfer learning, multitask learning and sensor networks.
Currently, I am interesting in varies approaches to deep learning (CNN, GAN, Deep Bayesian Learning, etc.) and their applications to computer vision (image processing, video analysis, etc.).
On a side for fun I maintain several Projects (e.g. ActionRecognition, AgeEstimation, VBClusterings, UnixFileSystem).
Education & Experience.
- 2013 - now: Ph.D. student, Circuits and Systems, Zhejiang University. Adviser: Chunguang Li.
- Summer 2012: C/C++ Engineer Internship at State Stree(Hangzhou).
- 2009-2013: Bachelor's Degree, double major in Computer Science and Automation, Zhejiang University of Technology. Adviser: Shengyong Chen.
Publications [Google scholar]
- Junhao Hua, Chunguang Li, Distributed Variational Bayesian Algorithms for Robust Kalman Filtering over Networks, submitted to IEEE Transactions on Signal and Information Processing over Networks.
- Junhao Hua, Chunguang Li, Distributed Variational Bayesian Algorithms for Extended Object Tracking, submitted to IEEE Transactions on Aerospace and Electronic Systems.
- Junhao Hua, Chunguang Li, Distributed Jointly Sparse Bayesian Learning with Quantized Communication, IEEE Transactions on Signal and Information Processing over Networks, accepted，2018.
- Junhao Hua, Chunguang Li, Hui-Liang Shen, Distributed Learning of Predictive Structures from Multiple Tasks Over Networks, IEEE Transactions on Industrial Electronics(TIE), preprint, DOI: 10.1109/TIE.2016.2588463.
- Junhao Hua, Chunguang Li, Distributed Variational Bayesian Algorithms over Sensor Networks, IEEE Transactions on Signal Processing (TSP), vol.64, no.3, pp.783-798, Feb. 2016.


Toggle navigation
CSCI 2461-71/70
Home
N-Arctica
CodeBlockers
TeamOops
PostFixers
Linuxstar
FrontRowSquad
#Protocol
Welcome To -POSTFIXERS
Meet The Team
Yasir (Testing) -
Github
Kasia (Research) -
Github
Kao Xiong (Documentation) -
Github
Juan(Support) -
Github
-POSTIX is a popular open-source Mail Transfer Agent (MTA) that can be used to route and deliver email on a Linux system.


Upgrading Puppet Dashboard
This is a chapter of the Puppet Dashboard 1.2 manual.
Navigation
- Installing Dashboard
- Upgrading Dashboard
- Configuring Dashboard
- Maintaining Dashboard
- Using Dashboard
- Rake API
Overview
Upgrading Dashboard from a previous version generally consists of the following:
- Stopping the webserver and delayed jobs workers
- Upgrading the Dashboard code itself
- Running any new database migrations
- Restarting the webserver and delayed jobs workers
In addition, there are several tasks you must take into account when upgrading from certain versions.
Note that all rake tasks should be performed from a shell in the directory that contains Dashboard’s code. Any relative paths mentioned below refer to locations within this directory. If you are running Dashboard in the recommended “production” environment, note that Rails does not consider production its default environment, and you must specify it manually with the RAILS_ENV
environment variable when running any rake tasks.
Upgrading Code
From Packages
Dashboard installations that used Puppet Labs’ packages are the easiest to upgrade. If you installed Dashboard with Yum:
$ sudo yum update puppet-dashboard
If you installed it with APT:
$ sudo apt-get update
$ sudo apt-get install puppet-dashboard
If you installed it from an RPM package file:
$ sudo rpm -Uvh puppet-dashboard-1.2.0.noarch.rpm
If you installed it from a Deb package file:
$ sudo dpkg -i puppet-dashboard-1.2.0_all.deb
From Git
Upgrading from Git is relatively straightforward, although you will have to re-chown all of Dashboard’s files after performing the upgrade.
First, fetch data from the remote repository:
$ git fetch origin
Before checking out the new release, make sure that you haven’t made any changes that would be overwritten:
$ git status
Dashboard’s .gitignore
file should ensure that your configuration files, certificates, temp files, and logs will be untouched by the upgrade, but if the status command shows any new or modified files, you’ll need to preserve them. You could just copy them outside the directory, but the easiest path is to use git stash:
$ git add {list of modified files}
$ git stash save "Modified files prior to 1.2.0 upgrade"
After that, you’re clear to upgrade:
$ git checkout v1.2.0
(And if you had to stash any edits, you can now apply them:
$ git stash apply
If they don’t apply cleanly, you can abort the commit with git reset --hard HEAD
, or read up on how to resolve Git merge conflicts.)
Finally, re-chown all Dashboard files to the puppet-dashboard user:
$ sudo chown -R puppet-dashboard:puppet-dashboard ./*
From Tarballs
If you originally installed Dashboard from a source tarball, you’ll need to either pick out all of your modified or created files and transplant them into the new installation, or convert your installation to Git; either way, you should back up the entire installation first.

git checkout tags/v1.2.0
git stash apply
As with a standard Git upgrade, you’ll need to re-chown all Dashboard files to the puppet-dashboard user:
$ sudo chown -R puppet-dashboard:puppet-dashboard ./*
Running Database Migrations
Puppet Dashboard’s database schema changes as features are added and improved, and it needs to be updated after an upgrade. You may want to backup your database before you do this — see the database backups section of the maintaining chapter for further details.
DB migrations are done with a rake task, and should be simple and painless when upgrading between any two official releases of Dashboard.
$ sudo -u puppet-dashboard rake db:migrate RAILS_ENV=production
Remember that Rails does not consider “production” its default environment, so you must specify it manually for all rake tasks unless your RAILS_ENV
environment variable is set or you are using the same database in the production and development environments.
You’ll need to run db:migrate
once for each environment you use. The db:migrate
task can be safely run multiple times in the same environment.
After upgrading the code and the database, be sure to restart Dashboard’s webserver and delayed jobs workers.
Upgrading From Versions Prior to 1.2.0
For reasons of speed and scalability, Dashboard 1.2 introduced a delayed job processing system. Dashboard won’t lose any data sent by puppet masters if you don’t run these delayed jobs, but they’re necessary for analyzing reports and keeping the web UI up-to-date. You’ll need to configure and run at least one worker process, and we recommend running exactly one process per CPU core.
Currently, the best way to manage these processes is with the script/delayed_job
command, which can daemonize as a supervisor process and manage the requested number of workers. To start four workers and the monitor process:
$ sudo -u puppet-dashboard env RAILS_ENV=production script/delayed_job -p dashboard -n 4 -m start
See the delayed jobs section of the installation chapter for more information.
Upgrading From Versions Prior to 1.1.0
In version 1.1.0, Dashboard changed the way it stores reports, and any reports from the 1.0.x series will have to be converted before they can be displayed or analyzed by the new version.
Since this can potentially take a long time, depending on your installation’s report history, it isn’t performed when running rake db:migrate
. Instead, you should run:
$ sudo -u puppet-dashboard rake reports:schematize RAILS_ENV=production
This task will convert the most recent reports first, and if it is interrupted, it can be resumed by just re-running the command.
Navigation
- Installing Dashboard
- Upgrading Dashboard
- Configuring Dashboard
- Maintaining Dashboard
- Using Dashboard
- Rake API


---
layout: page
title: Projects
---
Past Projects
Task Runner - VS Code Extension
- This extension adds an additional "Task Runner" view in your Explorer Pane to visualize and individually run npm, Gulp, Grunt, Jake, etc tasks in your project. Currently has 17K downloads and a 5 star rating in the marketplace.
LogoLens
- An application on the HoloLens that displays stock information about a company when their logo is viewed in the surrounding environment. This won the NASDAQ API Prize at HackMIT 2016.
Brain Trauma Assessment
- Built an iOS app to aid Speech Language Pathologists in rehabilitation and therapy for people with aphasia.
File Transfer Application
- Designed a reliable data transfer protocol which operates similarly to the Selective Repeat model of TCP, but using UDP sockets. Created a client-server file transfer application in Python to implement this protocol.
Database Driven Web App
- MySQL and PHP web application that displays points of interest for city officials and city scientists.
EDM DrumKit
- Built as a fun way to learn vanilla JavaScript.


Creates MemoryMessageQueue components by their descriptors. Name of created message queue is taken from its descriptor.
More...
|
|
static readonly Descriptor | Descriptor = new Descriptor("pip-services", "factory", "message-queue", "memory", "1.0") |
| |
|
static readonly Descriptor | Descriptor3 = new Descriptor("pip-services3", "factory", "message-queue", "memory", "1.0") |
| |
|
static readonly Descriptor | MemoryQueueDescriptor = new Descriptor("pip-services", "message-queue", "memory", "*", "*") |
| |
|
static readonly Descriptor | MemoryQueue3Descriptor = new Descriptor("pip-services3", "message-queue", "memory", "*", "*") |
| |
Creates MemoryMessageQueue components by their descriptors. Name of created message queue is taken from its descriptor.
See Factory, MemoryMessageQueue
The documentation for this class was generated from the following file:
- src/Build/MemoryMessageQueueFactory.cs


Write a function that returns the last digit of given integer as an English word. Examples: 512 "two", 1024 "four", 12309 "nine"


This use case details how the Chef will use the system to create a recipe.
[This use case loops from step 1.8 (Enter ingredient) to step 1.8 (Enter ingredient) until the Chef chooses to enter cooking details]
If at step 1.5 (Enter recipe summary) the Shopper chooses to copy an existing shopping list, the Shopper selects a shopping list from the list of shopping lists. The system loads a new version of the chosen shopping list and the use case continues at step 1.7 (Display recipe screen).
If at step 1.5 (Enter recipe summary) the Chef chooses to add ‘calories per serving’ to the recipe. The system displays the appropriate screen. The Chef enters calories per serving for the recipe and selects the save calories per serving option. The use case continues at step 1.5 (Enter recipe summary).
If at step 1.8 (Enter ingredient) the Chef chooses to view nutritional data for the ingredient.. The system displays the appropriate screen showing the nutritional data. The Chef closes the screen and the use case continues at step 1.8 (Enter ingredient).
If at step 1.8 (Enter ingredient) the Chef chooses to find alternative ingredient. The system displays the appropriate screen. The Chef chooses an alternative ingredient and chooses to save the alternative ingredient. The system saves the alternative ingredient and the use case continues at step 1.8 (Enter ingredient).
If at step 1.12 (Display recipe summary) the Chef chooses to rate the recipe. The system displays the appropriate screen. The Chef enters a rating for the recipe and chooses to save the rating. The system saves the rating. The use case continues at step 12 (Display recipe summary).
If at any time the Chef chooses to cancel the activity, the system displays a warning message asking the Chef to either continue with the cancel action or quit the cancel action. If the Chef chooses to continue with the cancel action, the use case ends. If the Chef chooses to quit the cancel action, the system closes the message and the use case continues from its current point.
If at step 1.11 (Save recipe) the system establishes that the database is unavailable, the system displays a warning message. The Chef acknowledges the warning message and the use case ends.
Gillian Moore just wants an app that will help her cook healthy without the need to be a Michelin Star chef or have a pantry with exotic ingredients. She just wants a simple recipe that will not have to break the bank.
The Chef must have successfully logged in, and still be logged in.
Either the recipe has been created and all data has been saved, or no data has been modified.


| xgb.create.features {xgboost} | R Documentation |
May improve the learning by adding new features to the training data based on the decision trees from a previously learned model.
xgb.create.features(model, data, ...)
model |
decision tree boosting model learned on the original data |
data |
original data (usually provided as a |
... |
currently not used |
This is the function inspired from the paragraph 3.1 of the paper:
Practical Lessons from Predicting Clicks on Ads at Facebook
(Xinran He, Junfeng Pan, Ou Jin, Tianbing Xu, Bo Liu, Tao Xu, Yan, xin Shi, Antoine Atallah, Ralf Herbrich, Stuart Bowers, Joaquin Quinonero Candela)
International Workshop on Data Mining for Online Advertising (ADKDD) - August 24, 2014
https://research.fb.com/publications/practical-lessons-from-predicting-clicks-on-ads-at-facebook/.
Extract explaining the method:
"We found that boosted decision trees are a powerful and very convenient way to implement non-linear and tuple transformations of the kind we just described. We treat each individual tree as a categorical feature that takes as value the index of the leaf an instance ends up falling in. We use 1-of-K coding of this type of features.
For example, consider the boosted tree model in Figure 1 with 2 subtrees,
where the first subtree has 3 leafs and the second 2 leafs. If an
instance ends up in leaf 2 in the first subtree and leaf 1 in
second subtree, the overall input to the linear classifier will
be the binary vector [0, 1, 0, 1, 0]
, where the first 3 entries
correspond to the leaves of the first subtree and last 2 to
those of the second subtree.
[...]
We can understand boosted decision tree based transformation as a supervised feature encoding that converts a real-valued vector into a compact binary-valued vector. A traversal from root node to a leaf node represents a rule on certain features."
dgCMatrix
matrix including both the original data and the new features.
data(agaricus.train, package='xgboost') data(agaricus.test, package='xgboost') dtrain <- xgb.DMatrix(data = agaricus.train$data, label = agaricus.train$label) dtest <- xgb.DMatrix(data = agaricus.test$data, label = agaricus.test$label) param <- list(max_depth=2, eta=1, silent=1, objective='binary:logistic') nrounds = 4 bst = xgb.train(params = param, data = dtrain, nrounds = nrounds, nthread = 2) # Model accuracy without new features accuracy.before <- sum((predict(bst, agaricus.test$data) >= 0.5) == agaricus.test$label) / length(agaricus.test$label) # Convert previous features to one hot encoding new.features.train <- xgb.create.features(model = bst, agaricus.train$data) new.features.test <- xgb.create.features(model = bst, agaricus.test$data) # learning with new features new.dtrain <- xgb.DMatrix(data = new.features.train, label = agaricus.train$label) new.dtest <- xgb.DMatrix(data = new.features.test, label = agaricus.test$label) watchlist <- list(train = new.dtrain) bst <- xgb.train(params = param, data = new.dtrain, nrounds = nrounds, nthread = 2) # Model accuracy with new features accuracy.after <- sum((predict(bst, new.dtest) >= 0.5) == agaricus.test$label) / length(agaricus.test$label) # Here the accuracy was already good and is now perfect. cat(paste("The accuracy was", accuracy.before, "before adding leaf features and it is now", accuracy.after, "!\n"))


Event Location:
Microsoft Malaysia
Level 26, Menara 3 Petronas, Persiaran KLCC, Kuala Lumpur City Centre
Kuala Lumpur, Kuala Lumpur, Malaysia
Abstract:
What you feared has come upon you: You’ve been happily building business intelligence solutions the traditional way for years; Finally, the big data curse has caught up with you. Your organization wants to exploit their big data along with their day-to-day transactional data. You are now tasked with storing all this in one place and working your analytics magic on it. You start wondering how and where you would store this data, what kind of hardware you would need and and how you would learn everything from storing to processing to analysis in a short time – after all big data is a different type of beast from transactional data. Fear not, all you need to do is look to the heavens; with Azure Data Lake and Azure Data Lake Analytics, you could get started quite fast. After an introduction to Azure Data Lake, we will dive into how you could perform simple yet power analytics using methods that are familiar with Azure Data Lake Analytics.
Speaker(s): Gogula Aryalingam,
Abstract:
Azure SQL Database has come a long way, and for MS SQL, it's ahead of its other public Cloud competitors by miles. This session will look at the practical benefits of using a fully managed SQL Server database as a platform for traditional DBA-managed SQL consolidation. We'll take a look at the benefits in terms of technology and cost models, as well as a direct comparison with SQL Server on-premise and comparisons with other public Cloud providers. We'll also take a look at the most significant features that have been added in the last year that'll make you change your mind about adopting this as your next Database.
Speaker(s): Darien Nagle,
Abstract:
Azure Cosmos DB is an evolution of Azure Document DB. It's the industry first globally distributed database service, allow you to scale storage and throughput across many geographical regions with promising low latency. Cosmos DB supports for multi model database, different types of database engines like key-value, document, graph and multi API support like SQL, Azure Table Storage, Gremlin, MongoDB. Let's see in action with a demo, how you can transfer your complex data into a simpler format with Document API and scale it in different regions with specific storage and throughput.
Speaker(s): Hansamali Gamage,
Abstract:
The heart of almost all Business Intelligence solutions; Relational Data Warehouse, has been servicing us for decades making the implementation is complete and success. It was always an On-Premises database, but now it is available as a Database-as-a-Service with Microsoft Azure, called Azure SQL Data Warehouse. It is a MPP cloud-based, scale-out relational database that supports workloads from few hundred gigabytes to petabytes of data and it addresses all modern requirements in data warehousing. Let’s talk about traditional On-Premises data warehouse little bit and then discuss about Azure SQL Data Warehouse and implementation of it.
Speaker(s): Dinesh Priyankara,
Abstract:
Configuring high availability on Azure SQL Database comes with a few options. The following session provides an overview on concepts of Geo Replication, Elastic Pools and Azure Failover Groups and how they can be used in providing high availability for Azure SQL Database. Session would involve few demos on configuring high availability and would provide the audience a clear understanding on developing resilient applications on Azure SQL Database.
Speaker(s): Nagaraj Venkatesan,
Abstract:
BI is evolving fast and this track walks you through on how corporate BI and self-service BI closes the gap. Empower analytics with SQL Server Analysis Services Tabular and watch how business can rapidly derive insights from corporate models while integrating self-service BI with corporate models.
Speaker(s): Danaraj Ram Kumar,
Abstract:
This talk will introduce the latest security controls and features introduced by Microsoft. The OWASP Top 10 Application Security Risks – 2017 will be introduce to address common SQL Server misconfiguration sin and application security vulnerabilities to help SQL Server experts to obtain a better understanding on SQL Server Hardening and Best Practices. And Finally, We will brief GDPR and Data Security and share how SQL Server can ease the process with minimum application change.
Speaker(s): Sina Manavi,
Abstract:
Being able to monitor, diagnose and recover from Database Corruption is a critical skill for any SQL Server DBA. In this session we will walk through the techniques required to detect and repair various forms of Corruption Using a number of example corrupted database we will explore how to determine and fix corruption while avoiding some of the common mistakes. Warning: Hex Editors and DBCC Page dumps will be involved!
Speaker(s): Patrick Flynn,
Abstract:
Powershell has been part of Windows for > 10 years and has been part of SQL Server since 2008. In spite of this the adoption among Database Professionals for use in investigating and managing their environments has been low. With the release of the open source DBA Tools module from DBATools.IO, with its 300+ commands, the time has arrived for Database Professionals to embrace PowerShell and upgrade their skills to support the modern Hybrid environment. In this session we will look how to download, install and begin using the power within both this module and Powershell. No prior experience with Powershell required!
Speaker(s): Patrick Flynn,
Abstract:
Sometimes DBAs find that SQL Server Availability Group performs very slow REDO operation on Replica server. During this session, you will realize what is going in Availability Group internal process.
Speaker(s): Hamid J. Fard,
Abstract:
A Guide to Working with Data Services and Azure SQL for your Applications Although Microsoft Azure and the concept of Cloud Computing has been around for a while it is still a mystery to many.This talk takes a look at Azure Data storage – what it is, the types of storage options available and their advantages and disadvantages. We’ll take a look at the different options available for your SQL applications to see how to create and manage SQL databases in the Cloud. By the end of this talk you will be ready to get straight into Azure and start taking advantage of what it has to offer
Speaker(s): Adnan Hendricks,
Abstract:
Adaptive Query Processing is one of the most important enhancements to be released in SQL Server 2017. Adaptive Query Processing adds intelligence to the optimizer and improves query plan choices significantly. Following session will provide an overview on Adaptive query processing and explain the scenarios at which Adaptive Query Processing automatically provides performance gain with no change to the code.
Speaker(s): Nagaraj Venkatesan,
Abstract:
In this session we will look at how to optimise your use of the GUI tools provided for SQL Server We will cover (a) How to efficiently use the latest version of SQL Server Management Studio (b) What is available with the New Kid in Town - SQL Server Operations Studio (c) An introduction to some of the Third Party extensions available Attendees will come away with an appreciation of how to maximise the use of these tools and also some useful extensions for these tools
Speaker(s): Patrick Flynn,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
Darien has over 30 years of IT experience including former positions at TIBCO and Microsoft. Darien has worked across Australia and Southeast Asia including as Specialist Director at Microsoft Malaysia. An accomplished Cloud Computing seller and recognised best-practices global speaker, Darien is a believer in a future of Platform-as-a-Service-based cloud applications. His expertise includes establishing and embracing a customer's cloud journey and jointly developing a cloud technology roadmap incorporating some quick value-based wins up front. His current technologies and solutions expertise are too broad to mention here but include Linux and Windows virtual machines in the cloud, SAP on Microsoft Azure, SQL Server and BI, and many more.
LinkedIn: https://www.linkedin.com/in/sinamanavi/
Contact: https://sinamanavi.wordpress.com/
Sina is an Senior Mananger working in Financial and Banking industry as Regional IT Security in an Malaysian Bank, reporting directly to the CISO and C-Suite. He is responsible to design, develop and implement IT Security Blueprint, Strategy and Planning, Cyber Threat Inteligence, Threat Assessment and Advisory, and Risk Management and Compliance. He is a regulator speaker in Malaysia. He has trained over 500 Industry professionals in Vulnerability Assessment and Penetration Testing, User Awareness and also designed and conducting Capture The Flag (CTF) hacking competition for different universities and organizations. He has developed three books under the company’s copyright in Mobile, Web and Network Penetration Testing. He has been co-
LinkedIn: https://in.linkedin.com/in/nagaraj-venkatesan-b6958b6
Contact: http://strictlysql.blogspot.com
Nagaraj Venkatesan is a Data Platform MVP from Singapore and the leader of Singapore SQL PASS Chapter. As a SQL Server enthusiast, Nagaraj is a regular speaker in Asia Pacific region at Data Platform events like SQL Saturdays, SQL Server Geeks Summit, User group meetups etc. Nagaraj shares his technical expertise at strictlysql.blogspot.com. Nagaraj also runs a YouTube channel called "DataChannel", which contains technical interviews with top Microsoft Data Platform experts in the world.
LinkedIn: http://linkd.in/1BH7dv4
Danaraj works on modern BI delivery activities that includes corporate BI data models development and data integration in the cloud.
LinkedIn: https://my.linkedin.com/in/hamidjfard
I am SQL Server Data BI Platform Expert with more than 9 years’ of professional experience, I am currently Microsoft Certified Master: SQL Server 2008, Microsoft Certified Solutions Master: Charter-Data Platform, Microsoft Data Platform MVP and CIW Database Design Specialist. After a few years of being a production database administrator I jumped into the role of Data Platform Expert. Being a consultant allows me to work directly with customers to help solve questions regarding database issues for SQL Server.
LinkedIn: https://in.linkedin.com/in/nagaraj-venkatesan-b6958b6
Contact: http://strictlysql.blogspot.com
Nagaraj Venkatesan is a Data Platform MVP from Singapore and the leader of Singapore SQL PASS Chapter. As a SQL Server enthusiast, Nagaraj is a regular speaker in Asia Pacific region at Data Platform events like SQL Saturdays, SQL Server Geeks Summit, User group meetups etc. Nagaraj shares his technical expertise at strictlysql.blogspot.com. Nagaraj also runs a YouTube channel called "DataChannel", which contains technical interviews with top Microsoft Data Platform experts in the world.
LinkedIn: https://www.linkedin.com/in/hansamali-gamage-37777a50/
Contact: http://hansamaligamage.blogspot.com/
Hansamali Gamage is an experienced professional and Microsoft MVP in Visual Studio and Technologies from Sri Lanka. She possesses 5+ years of experience in. NET stack and Azure related services. She is a frequent speaker in SL .NET Forum, SL Data community and global SQLSaturday events and Data camps. She is a tech enthusiasts and an award winning writer on Microsoft Tech Net forum.
Contact: http://sqllensman.com/blog/
Patrick Flynn is a Senior Database Administrator with 10 years experience in large 24 x 7 enterprise environments. He is a certified master for SQL Server and a regular attendee of the PASS Summit. Has presented at SQLSaturday events in Sydney, Melbourne, Brisbane and Auckland, Edmonton and Calgary, Oslo and Cambridge
LinkedIn: http://www.linkedin.com/in/gogula
Contact: http://datamaul.wordpress.com
Gogula is a data analytics professional from Sri Lanka, with 14+ years on the Microsoft data platform. He has worked with many aspects of data analytics and BI solutions from architecting, designing, developing and consulting across various industries and verticals. He is Regional Mentor for PASS South Asia, Data Platform MVP, MCSE, former MCT, and MSc in IT. Gogula's passion revolves data analytics and BI; hence enjoys writing, teaching and speaking about the things he works with. He was also involved as an SME for Microsoft certification development. He currently juggles his full time job as Lead Architect while speaking at local and foreign events, along with regular stints at the Sri Lankan Data Community which he co-founded.
Contact: http://sqllensman.com/blog/
Patrick Flynn is a Senior Database Administrator with 10 years experience in large 24 x 7 enterprise environments. He is a certified master for SQL Server and a regular attendee of the PASS Summit. Has presented at SQLSaturday events in Sydney, Melbourne, Brisbane and Auckland, Edmonton and Calgary, Oslo and Cambridge
LinkedIn: http://lk.linkedin.com/in/dineshpriyankara/
Contact: http://dinesql.blogspot.com/
Dinesh is an experienced professional and database enthusiast with skills in database management systems and business intelligence. Possessing over 18 years of experience on data related technologies, he does training, consulting, and is a top contributor to the local SQL Server community. In recognition of his contributions and expertise he has demonstrated, he was awarded the Microsoft Most Valuable Professional (MVP) award for SQL Server for 13 consecutive years since 2006. He is a Subject Matter Expert on SQL Server exams and has contributed for SQL Server 2012, 2016, 2017 and Azure Data Engineering exam development and Job Task Analysis (JTA). Dinesh is the Founder/Principal Architect of dinesQL (Pvt) Ltd (http://dinesql.com). In his
Contact: http://sqllensman.com/blog/
Patrick Flynn is a Senior Database Administrator with 10 years experience in large 24 x 7 enterprise environments. He is a certified master for SQL Server and a regular attendee of the PASS Summit. Has presented at SQLSaturday events in Sydney, Melbourne, Brisbane and Auckland, Edmonton and Calgary, Oslo and Cambridge
LinkedIn: https://nl.linkedin.com/in/ahendricks
Adnan is co-founder www.AzurePlatformExperts.com and one of the world’s leading infrastructure experts a Microsoft MVP ,MCT (Regional Lead in NL 2014-2017)Member Microsoft Onedrive Experts Program (MODE), Microsoft Windows Technical Experts Program Follow him on twitter @Microspecialist
The following is a list of sponsors that helped fund the event.


| PhotoLine Tip: Collagen - Copy a part of an image into another |
| 1. Start
with the image of your girl/boy friend.
2. To make
work easier try to get an image with only one color in the background and
a big contrast from hair to background.
About 30% Tolerance, Fill holes selected and Soften edge 50. 3. Now click
with the mouse in the upper right edge of the image. If the action didn't
select
4. Now you
have to invert the Mask Tools/Mask/Invert (Only if you have masked
the background).
6. Activate the lasso tool and drag
the masked image to your background image. Depending on your settings,
you will get a selection or a layer at the background image window. If
you have a selection, drag the image to the place you like and double click
the image. Then press Ctrl+D to delete the selection. If you got
a new layer, activate the layer move tool and place the new layer where
you would like it. Then select Layer/Reduce to background layer.
Both ways you should get something like this:
|
| ««Previous Tip <Contents> Next Tip»» |
| Please email questions and suggestions on these tips to Gerhard Huber. |


Overview
Package
Class
Use
Tree
Deprecated
Index
Help
PREV LETTER
NEXT LETTER
FRAMES
NO FRAMES
All Classes
A
B
C
D
E
F
G
H
I
J
L
M
N
O
P
R
S
T
V
W
_
V
validated
- Variable in class net.parallaxed.bluejam.
Note
Notes need a primitive validation model to insure they are of a MIDI-playable pitch and rhythm.
validateModel()
- Method in class net.parallaxed.bluejam.grammar.
PitchModel
Protected call to the internal _validateModel() This method locks the model if validation is successful.
validateNotes()
- Method in exception net.parallaxed.bluejam.exceptions.
SequenceException
The SequenceException class cannot perform any validation on its internals.
validateNotes()
- Method in class net.parallaxed.bluejam.
Note
This method validates the note and throws the right kind of exception if anything is awry.
validateNotes()
- Method in class net.parallaxed.bluejam.
NoteCollection
Attempts to call validateNotes() on all it's children.
validateNotes()
- Method in class net.parallaxed.bluejam.
NoteLeaf
Validates this NoteSequence.
validateNotes()
- Method in interface net.parallaxed.bluejam.
NoteSequence
Called before locking the note to make sure all properties covered by the lockMask are set.
validateNotes()
- Method in class net.parallaxed.bluejam.
NoteTree
Simply calls validateNotes on all children and ensures their rhythms add up to _sp.length whole notes.
validatePitch()
- Method in class net.parallaxed.bluejam.
Note
Checks that the pitchClass field has a value and that the value is not relative.
validatePitch()
- Method in class net.parallaxed.bluejam.
NoteLeaf
Validates that this NoteLeaf is ready to play inside it's current context (assuming it has a parent), or is configured to play standalone.
validateRhythm()
- Method in class net.parallaxed.bluejam.
Note
Checks the duration of this note (in milliseconds) is > 0.
validateRhythm()
- Method in class net.parallaxed.bluejam.
NoteLeaf
Checks the duration of this note (in milliseconds) is > 0.
ValidationException
- Exception in
net.parallaxed.bluejam.exceptions
Thrown when an exception occurs in validation.
ValidationException()
- Constructor for exception net.parallaxed.bluejam.exceptions.
ValidationException
Constructs a vanilla ValidationException
ValidationException(Note)
- Constructor for exception net.parallaxed.bluejam.exceptions.
ValidationException
Constructs the exception with a reference to the note that failed validation.
valueOf(String)
- Static method in enum net.parallaxed.bluejam.
Accidental
Returns the enum constant of this type with the specified name.
valueOf(String)
- Static method in enum net.parallaxed.bluejam.evolution.
FitnessType
Returns the enum constant of this type with the specified name.
valueOf(String)
- Static method in enum net.parallaxed.bluejam.evolution.
Genotype
Returns the enum constant of this type with the specified name.
valueOf(String)
- Static method in enum net.parallaxed.bluejam.evolution.
HeuristicSelectionType
Returns the enum constant of this type with the specified name.
valueOf(String)
- Static method in enum net.parallaxed.bluejam.evolution.
InitializationType
Returns the enum constant of this type with the specified name.
valueOf(String)
- Static method in enum net.parallaxed.bluejam.evolution.
NoteContext.Contour
Returns the enum constant of this type with the specified name.
valueOf(String)
- Static method in enum net.parallaxed.bluejam.evolution.
PropertyFactory
Deprecated.
Returns the enum constant of this type with the specified name.
valueOf(String)
- Static method in enum net.parallaxed.bluejam.evolution.
SelectionType
Returns the enum constant of this type with the specified name.
valueOf(String)
- Static method in enum net.parallaxed.bluejam.
HeuristicCollection.SELECTION_TYPE
Returns the enum constant of this type with the specified name.
valueOf(String)
- Static method in enum net.parallaxed.bluejam.
JamParamters.Config
Returns the enum constant of this type with the specified name.
valueOf(String)
- Static method in enum net.parallaxed.bluejam.
Pitch
Returns the enum constant of this type with the specified name.
valueOf(String)
- Static method in enum net.parallaxed.bluejam.
Rhythm
Returns the enum constant of this type with the specified name.
values()
- Static method in enum net.parallaxed.bluejam.
Accidental
Returns an array containing the constants of this enum type, in the order they're declared.
values()
- Static method in enum net.parallaxed.bluejam.evolution.
FitnessType
Returns an array containing the constants of this enum type, in the order they're declared.
values()
- Static method in enum net.parallaxed.bluejam.evolution.
Genotype
Returns an array containing the constants of this enum type, in the order they're declared.
values()
- Static method in enum net.parallaxed.bluejam.evolution.
HeuristicSelectionType
Returns an array containing the constants of this enum type, in the order they're declared.
values()
- Static method in enum net.parallaxed.bluejam.evolution.
InitializationType
Returns an array containing the constants of this enum type, in the order they're declared.
values()
- Static method in enum net.parallaxed.bluejam.evolution.
NoteContext.Contour
Returns an array containing the constants of this enum type, in the order they're declared.
values()
- Static method in enum net.parallaxed.bluejam.evolution.
PropertyFactory
Deprecated.
Returns an array containing the constants of this enum type, in the order they're declared.
values()
- Static method in enum net.parallaxed.bluejam.evolution.
SelectionType
Returns an array containing the constants of this enum type, in the order they're declared.
values()
- Static method in enum net.parallaxed.bluejam.
HeuristicCollection.SELECTION_TYPE
Returns an array containing the constants of this enum type, in the order they're declared.
values()
- Static method in enum net.parallaxed.bluejam.
JamParamters.Config
Returns an array containing the constants of this enum type, in the order they're declared.
values()
- Static method in enum net.parallaxed.bluejam.
Pitch
Returns an array containing the constants of this enum type, in the order they're declared.
values()
- Static method in enum net.parallaxed.bluejam.
Rhythm
Returns an array containing the constants of this enum type, in the order they're declared.
Overview
Package
Class
Use
Tree
Deprecated
Index
Help
PREV LETTER
NEXT LETTER
FRAMES
NO FRAMES
All Classes
A
B
C
D
E
F
G
H
I
J
L
M
N
O
P
R
S
T
V
W
_


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 2
This recipe is so adaptable, so change the mustard and the sausage to suit your own taste; for example, if you like spicy sausages why not marry them with sweet mustard?
Add the oil to a hot, shallow, large pan and fry the onions until they are very, very sweet. They want to be soft, not crisp, so put the lid on so they steam as well as fry, say a good 8-10 minutes. Meanwhile cook the pasta in boiling salted water according to packet instructions.
When the onions are caramelised, skin the sausages and rip the meat into good sized chunks and add to the onions and cook for a few minutes.
Add in the flatleaf parsley and stir in the mustards. It's up to you to add as much or as little as you like of each. A tablespoon of each is usually enough.
Stir in the cream and check the seasoning, adding more mustard if you want. Drain the pasta and add to the cream and stir well. Serve immediately with an extra sprinkling of chopped parsley.


{% extends "home/base.html" %} {% load static %} {% load humanize %} {% block content %}
ArrestinDb
Arrestins can 'arrest' signaling by blocking GPCR-mediated G protein coupling and inducing receptor internalization.
They are also scaffold proteins rectruiting and assembling other signaling proteins and can be involved in biased
signaling1
Photo: MRC Laboratory of Molecular Biology in Cambridge
#} {#The GPCRdb is developed by the Gloriam group.#} {# It integrates data from the large GPCR community and maintains an active collaboration with the#} {# Guide To Pharmacology (IUPHAR), GPCRmd and the European Research Network on Signal#} {# Transduction (ERNEST).#} {# If you use the GPCRdb, please remember to cite us.#} {#
#} {# #} {#


Applications
Projects that have graduated from Prototype stage end up here: refined web apps with clear purpose. I'm hoping to update this page a lot more often with some cool stuff, once I find something to do.
If you have any issues with these, hit me up with an email<EMAIL_ADDRESS>with your issue and I'll make sure to look into it.
Licensing of all of these applications, unless mentioned, falls under the MIT License, a permissive license that allows for free use, reuse and modification, even commercially, as long as I am attributed sufficiently.


BILLY'S HOLLYWOOD SCREEN KISS A film review by David N. Butterworth Copyright 1998 David N. Butterworth
**1/2 (out of ****)
Sometimes a film with such a tantalizing title comes along that you're compelled to slap down your seven bucks without first seeing the trailer, reading a synopsis, or even consulting the cast list. "Billy's Hollywood Screen Kiss"--say that again?--is one of those films and by the time you've wrapped your tongue around the nomenclature, you'll realize the title is one of the better things about the movie.
"Billy's Hollywood Screen Kiss" starts out with a sequence comprised entirely of Polaroid photographs and narration that includes a bold statement: this film will help you understand some of the differences between gays and straights. The film doesn't come close to delivering on that promise. In fact, the main problem with the film is that it all too often sets up an expectation and then fails to provide the goods.
Billy is a gay, L.A.-based photographer, currently "unemployed and loveless." According to many of his friends, this puts him at his creative peak.
Encouraged to shoot a series of photographs featuring great Hollywood screen kisses, like the one exchanged by Deborah Kerr and Burt Lancaster amidst the pounding surf in "From Here to Eternity," Billy casts a handful of drag-queen acquaintances in the women's roles. But he needs a fresh face, a good-looking male model to substitute for the Clark Gables and the Jimmy Deans.
While hanging out in a coffee shop with his girl friend George (played with Barbra Streisand panache by co-producer Meredith Scott Lynn), Billy suddenly finds himself gazing into the eyes of an angel, a blond-haired, blue-eyed Brad Pitt lookalike appropriately named Gabriel. It's love at first sight, professional ethics be damned!
Figuring out if Gabriel is gay and, if so, whether he's interested in Billy, forms the core of "Billy's Hollywood Screen Kiss."
For a picture like this to succeed you have to feel some kind of empathy for the main character. Empathy, interest, understanding--all of these help. I couldn't muster up much. Not only is Billy unappealing as a character--perhaps the goatee reminds me of comedic everyman Eric Schaeffer, who ruins every project he's associated with--but Sean P. Hayes who plays Billy is a fledgling actor, which causes a further distancing.
Fortunately the film is peppered with a large collection of minor characters who *are* appealing, which makes up for a lot.
The film would have been more interesting, though perhaps not necessarily as amusing, if it spent as much time focusing on Billy's photo essay as it does his awkward mumblings and fumblings in the presence of Gabriel. Although Billy's daydreams are presented as black-and-white teasers complete with celluloid leaders, the only Hollywood screen kiss actually realized is the afore-mentioned "From Here to Eternity" embrace. I was hoping for more.
On the other hand, three very enthusiastic drag queens provide an amusing opening credits sequence plus various "intermissions." And cult filmmaker Paul Bartel ("Eating Raoul") appears as a fashion photographer who offers Gabriel an underwear gig on Catalina.
Overall "Billy's Hollywood Screen Kiss" is a mixed bag--likable, yet not without its frustrations--and a reminder that one should never judge a book by its cover.
-- David N. Butterworth<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


WISP
Legend
guns
training camp
WISP
version: 0.0.8-beta
©Jimut Bahan Pal
Author<EMAIL_ADDRESS>Location: Islamabad
Lat, Lon: 33.63573935,72.9230467027632
Radius: 10000
Date: 2019-04-22T23:31:54


Loading...
Amazon Drone Delivery
Loading...
Loading...
Play!
Drag the letters around to choose what order your drone visits the buildings!


{% extends "app/join-house-base.html" %} {% load crispy_forms_filters %} {% block join_house_content %}


Control flow, in programming, refers to the order in which statements, instructions, and/or function calls are executed. Control flow is
important to know as most of the time there will be situations where the program will need to do different things based on different
states. In other cases, the program may need to break the flow of the program to execute code multiple times. For cases like these,
programmers use control flow statements to handle the flow of the program.
These control flow statements include:
- The
if
statement
- The
For
loop
- The
while
loop
- The
break
and continue
statements
There are many other control flow statements but these are the ones we will be focusing on in this section.
The if
statement is one of the most common control flow statements frequently used in programming. In Python, the full if
statement looks like this:
if . . elif . . else
With this statement, the program will execute code if a logical condition is true. If false, the program will check the "elif",
short for "else if", conditional statements and if true, will execute that code. If none of the conditional statements return true, it will
execute the code in the "else" block. The conditional statements must evaluate to be true or false for the if statement to work properly, and
there can be any number of elif statements. Python also does not have a switch . . case
statement like many other
languages use.
Another commonly used control flow statement is the for
loop. This statement is used to loop through a block of code, as long
as the condition of the for loop is true. To create a for loop in Python, you would do something similar to this:
for . . in . . else
the for
part of the statement starts the loop. Between the for
and the in
section is a variable
that will be used to iterate through a range. This range is defined after the in
portion of the loop. For example if the range
is range(0,5)
then the loop will iterate through the numbers 0, 1, 2, 3, and 4, and execute the block of code for each of those
numbers. The else
portion of the for loop is optional. If the program breaks out of the loop or the loop is finished, the
program will check for any code in an else
block and execute it if it is there.
The next control flow statement is the while
loop. Although this is a loop just like the for
loop, the functionality
between the two are different. The syntax for the while
loop is as follows:
while . . else
Where the while keyword starts the loop, and there is a condition after the while keyword. The while
statement will continue to
loop through the block of code, so long as the condition remains true. The else
part of the loop is optional, same as the
for
loop, and will execute when the conditional of the while
loop is false.
The last control flow statements in this documentation are the break
and continue
keywords. The break
keyword is very useful because it allows the program to prematurely break out of a loop if it needs to. The break
keyword is
used by itself on its own line and does not require any other parameters. When it is used, the program will break out of the current loop
that it is in, and continue to execute the rest of the code down the program.
The continue
keyword is similar to the break
keyword in that they both control the flow of loops. When you use
the continue
keyword, it tells the program to continue to the next step of the loop. For example, take the following code:
for x in range(0,5,1):
if (x % 2 == 0):
print("found an even number")
continue
print("found an odd number")
You will see that we have a for
loop from 0 to 5, with a step of 1. Inside the for
loop, we have an if
statement with a conditional statement that will be true when the remainder of x/2 is equal to 0; i.e if the number is even. When x is an
even number, the program will print out the string "found an even number" and then the continue
keyword will force the loop to
step to the next iteration of the loop.
There are more control flow statements that are available that haven't been covered here such as ternary operators, pass statements, try
and catch statements, and more. If you want to learn more about these statements, you can click on the following link to read up on them.
Click here to learn about more control flow statements!


ABOUT ME
Welcome to my website. A self-motivated, creative, and ambitious young with proficiency in knowledge of HTML/HTML5, CSS/CSS3, Bootstrap, jQuery, and JavaScript, seeking for a position to be responsible producing high-quality solutions with focusing on front-end and user experience development, and mobile responsive web development, for company customers.
Courteous and enthusiastic, I am interested in IT and everything related to the field. I recently began to be fascinated by web programming, e.g. developing apps and building websites. I am keen to gain more experience in the field. For this reason, I am looking for a company willing to offer me a placement among their developers. In return, I would offer my full commitment, and be a pleasant and friendly addition to your team. I am therefore currently looking for a job or an internship as a front-end developer.


( a) Equilibrium swelling values for the PC12, PC12K hydrogels, and their antibiotic-loaded counterparts; ( b) electrical conductance variation in the PC12: antibiotic aqueous system (the equilibrium swelling values from Figure 10a take into account the mass of released antibiotic; T: tetracycline hydrochloride, A: amoxicillin; G: gentamicin sulfate).


If you have any questions that are beyond the scope of this help file, please feel free to email us writing to the email address below. Enjoy!
Version: 0.3
Created: May 7th 2015
By: Coding Divas [Federica Sibella & Michela Chiucini]
Email<EMAIL_ADDRESS>Remember to add these files in your <head> section.
<!-- Divas Cookies skin -->
<link rel="stylesheet" type="text/css" media="screen" href="path-to-css/divascookies_dark_top.css" />
<!-- your jQuery version -->
<script type="text/javascript" src="path-to-js/jquery-2.1.4.min.js"></script>
<!-- your Divas Cookies version -->
<script type="text/javascript" src="path-to-js/jquery.divascookies-0.3.min.js"></script>
Just call Divas Cookies on document ready.
$(document).ready(function() {
$.DivasCookies();
});
Here is a list of CSS classes created by Divas Cookies. You can style them as you wish or just link at one of our Divas Cookies skins, if you prefer.
/*
* Divas Cookies CSS classes
*/
.divascookies {
// main container
}
.divascookies > .divascookies-banner-container {
// banner container
}
.divascookies p.divascookies-banner-text {
// banner text
}
span.divascookies-policy-link a {
// link to the extended policy page
}
.divascookies-banner-container > .divascookies-accept-button-container {
// container of the accept button
}
.divascookies-accept-button-container > .divascookies-accept-button-img {
// container of the accept button img
}
.divascookies-accept-button-container > .divascookies-accept-button-text {
// accept button text
}
Divas Cookies can be configured to fit your needs with many straightforward parameters that you can set when calling the plugin.
It is the text for the Divas Cookies banner.
Default value: "This website uses cookies.". Configuration example:
$.DivasCookies({
bannerText: "This website uses cookies."
});
It is the link to your extended cookie policy.
Default value: "". Configuration example:
$.DivasCookies({
cookiePolicyLink: "yourprivacy.html"
});
It is the text for the link to the extended cookie policy.
Default value: "Read our cookie policy.". Configuration example:
$.DivasCookies({
cookiePolicyLinkText: "More info."
});
To be used with third party privacy policies, now active only for Iubenda policies. If set to "iubenda" tries to use the Iubenda widget.
Default value: "". Configuration example:
$.DivasCookies({
thirdPartyPolicyWidget: "iubenda"
});
It is the text for the acceptance button.
Default value: "Ok". Configuration example:
$.DivasCookies({
acceptButtonText: "Ok, go ahead!"
});
It is the source for the acceptance button image (optional).
Default value: "". Configuration example:
$.DivasCookies({
acceptButtonText: "path-to-images/acceptButton.png"
});
It is the opening effect for Divas Cookies banner.
Default value: "". Accepted values: "fade", "slideUp", "slideDown", "slideLeft", "slideRight". Configuration example:
$.DivasCookies({
openEffect: "fade"
});
It is the duration in msec for the opening effect of Divas Cookies banner.
Default value: 600. Configuration example:
$.DivasCookies({
openEffectDuration: 1000
});
It is the easing function for the opening effect of Divas Cookies banner.
Default value: "swing". Accepted values: "swing", "linear". Configuration example:
$.DivasCookies({
openEffectEasing: "linear"
});
It is the closing effect for Divas Cookies banner.
Default value: "". Accepted values: "fade", "slideUp", "slideDown", "slideLeft", "slideRight". Configuration example:
$.DivasCookies({
closeEffect: "fade"
});
It is the duration in msec for the closing effect of Divas Cookies banner.
Default value: 600. Configuration example:
$.DivasCookies({
closeEffectDuration: 1000
});
It is the easing function for the closing effect of Divas Cookies banner.
Default value: "swing". Accepted values: "swing", "linear". Configuration example:
$.DivasCookies({
closeEffectEasing: "linear"
});
If true, sets a cookie after the Divas Cookies is closed the first time and never shows it again.
Default value: true. Accepted values: true, false. Configuration example:
$.DivasCookies({
saveUserPreferences: false // keeps showing the banner after the accept button has been clicked
});
If true, Divas Cookies options are checked and warnings are shown if it is the case (only for debug purposes, do not use in production environment).
Default value: false. Accepted values: true, false. Configuration example:
$.DivasCookies({
debugMode: true
});


Initiate an authenticator registration for IBM Verify instances.
Update a specific enrollment of a signature authentication method.


How to make a webpage on Production Server
- Create a file in html or css, and validate. Don't forget to add, commit, and push.
- Log into the Production Server by typing "sftp<EMAIL_ADDRESS>- Type cd public.html
- Put "filename" to send it to the production server.
- Done!


Github
Nelumbo is a one-click Filecoin blockchain
Develop Filecoin storage clients the easy way
Doesn't that seem so much nicer than...
Ready to Get Started?
Nelumbo is for MacOS only.
Download the Zip
Email address
Get Updates


Current Id: {{currentId}}
TEST NG-MODEL {{fileN}}
Choosed manager name is: {{mgrName}}
Choosed manager id is: {{mgrId}}