Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Stir the flour and salt together in a bowl.
Add the fish fillets and turn to coat well.
Heat the oil in a large non-stick frying pan over a medium to high heat till hot.
Add the fish and cook for two minutes on each side, or until the fish is cooked, turning just once.
For the salad, toss the chillies, coriander and mint leaves, shallots, mangetout and lime zest together in a bowl.
For the dressing, stir the sugars and two tablespoons of water in a small pan over a low heat until the sugars have dissolved.
Continue to cook over a medium heat until lightly golden.
Remove from the heat, add fish sauce and lime juice and stir to combine.
Serve the fish topped with green salad and sweet and sour dressing over the top and serve with lime halves.


Where to pick up your car?
Car Position
Your direction
Where to return your car?
Car Position
Your direction
Your position
Your position


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Run another rest.
'


"The cube has…13 axes of
symmetry:
6 C2 (axes joining
midpoints of opposite edges),
4 C3 (space diagonals), and
3C4 (axes joining opposite
face centroids)."
–Wolfram MathWorld article
on
the
cube
These 13 symmetry axes can
be used to illustrate the
interplay
between Euclidean and Galois
geometry in a cubic model
of the 13-point Galois projective plane.
The
13 symmetry axes
of the (Euclidean)
cube --
exactly one axis for each pair of opposite
subcubes in the (Galois) 3×3×3 cube below --
The geometer's 3
×3×3
cube --
27 separate subcubes unconnected
by any Rubik-like mechanism --
A closely
related structure --
the finite projective plane
with 13 points and 13 lines --
The 13 lines
of the Galois
projective plane
may be derived from 13 Galois affine planes
through the Galois cube's center.
(One such plane is illustrated above.)
These 13 Galois affine
planes may in turn be derived from 13
Euclidean planes
through
the Euclidean
cube's center point
perpendicular to the 13 Euclidean
axes of symmetry.
A later version
of the
13-point plane
by Ed Pegg Jr.–
A group action
on the
3×3×3
cube
as illustrated by a
Wolfram program
by Ed Pegg Jr. (undated, but closely
related to a
March 26, 1985 note
by Steven H. Cullinane)–
See also Ed Pegg
Jr. on finite geometry
at the Mathematical Association of America--
|
The Fano Plane
by Ed Pegg Jr.,
“One thing in the Fano plane that
bothered me
for years (for years,
I say) is that it had a circle – and it was described as a line. For
me, a line was a straight line, and I didn’t trust curved or wriggly
lines. This distrust kept me away from understanding projective planes,
designs, and finite geometries for a awhile (for years).”
|
The moral of the story --
Galois
projective geometries can be
viewed
in the context of the larger affine geometries
from which they are derived.
A summary of the story --
The standard definition of points in a Galois projective plane is that they are lines through the (arbitrarily chosen) origin in a corresponding affine 3-space converted to a vector 3-space.
If we choose the origin as the center cube in coordinatizing the 3×3×3 cube (See Weyl's relativity problem), then the cube's 13 axes of symmetry can, if the other 26 cubes have properly (Weyl's "objectively") chosen coordinates, illustrate nicely the 13 projective points derived from the 27 affine points in the cube model.
The 13 lines
of the resulting Galois
projective plane may be derived from Euclidean planes
through
the cube's center point perpendicular to the 13 axes of symmetry.
The above standard definition of points in a Galois projective plane may of course also be used in a simpler structure– the eightfold cube.
(The eightfold cube also allows a less standard way to picture projective points that is related to the symmetries of "diamond" patterns formed by group actions on graphic designs.)
Update of January 13, 2013
Summary of how the cube's 13 symmetry planes* are related to
the finite projective plane of order 3, with 13 points and 13 lines--
* This is not the standard terminology. Most sources count only the 9 planes
fixed pointwise under reflections as "symmetry planes." This of course
obscures the connection with finite geometry.


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Google Translate API
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Translate English to Spanish


broken-ring network
`Prev `__
B
`Next `__
--------------
**broken-ring network**
Pejorative hackerism for “token-ring network”, an early and very slow
LAN technology from IBM that lost the standards war to Ethernet. Though
token-ring survives in a few niche markets (such as factory automation)
that put a high premium on resistance to electrical noise, the term is
now (2000) primarily historical.
--------------
+---------------------------------+----------------------------+----------------------------------+
| `Prev `__ | `Up <../B.html>`__ | `Next `__ |
+---------------------------------+----------------------------+----------------------------------+
| broken arrow | `Home <../index.html>`__ | BrokenWindows |
+---------------------------------+----------------------------+----------------------------------+


<!DOCTYPE html>

All HTML files start with a doctype.
This doctype states HTML5 is being used.
<!DOCTYPE html>

The html tags tell the browser where to begin and end.
<!DOCTYPE html>

Content placed within the head tags is not displayed.
Head tags store metadata. (Examples: a link to the site's CSS or a description of the site for search engines.)
<!DOCTYPE html>

Content that will be displayed in the browser.
Container HTML Element
Self-Closing HTML Element
<tagname>Hello World</tagname>
<open>Hello World</close>
Paragraph
Heading
Google
<tagname attribute="value" attribute="value">
Mozilla Developer Network - preferred resource ✅:
https://developer.mozilla.org/en-US/docs/Web/HTML/ElementW3Schools:
https://www.w3schools.com/tagsIndenting nested tags is important because it helps us identify where a tag begins and ends. Browsers ignore these extra spaces.
How we see our code:

Indented paragraph tag

How the browser reads our code:
Indented paragraph tag

Image from internetingishard.com
HTML tags that are Block elements:

,

,

Example:
 tag
Paragraph with a background color.
HTML tags that are Inline elements: , ,
Example:  tag
This paragraph uses the inline  tag to italicize text. See how it fits right in with the flow of the text?
Example:  tag
First Link Second LinkOpen Your Text Editor (Atom)
Steps to create an HTML file
File -> New File -> Save As -> index.html
Let's add a block element paragraph
Let's add an inline element
Open Chrome
File -> Open File -> index.html -> Open
Image from codercv.com
Structure vs Presentation
CSS stands for: Cascading Style Sheets
Cascading - CSS is written by defining "rules" and these rules can override each other. The "cascade" is responsible for determining which rule is applied to the HTML.
Style Sheets
- refers to a file containing CSS code.
This language is used to describe the presentation of a web page.
CSS can change colors, fonts, and the position of content.
Example of how CSS can change the appearance of content.Three ways to add CSS to HTML:
Use the HTML "style" attribute.
A paragraph with a background color.
A paragraph with a background color.
The "cascade" considers inline styles to be the highest priority. Inline styles are always applied over any other competing style.
However, Inline CSS styles:
Inline CSS styles - not recommended ❌
Use the


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Syntax Highlighter Example
The Syntax Highlighter application displays C++ files with custom syntax highlighting.
The example consists of two classes:
- The
Highlighter
class defines and applies the highlighting rules. - The
MainWindow
widget is the application's main window.
We will first review the Highlighter
class to see how you can customize the QSyntaxHighlighter class to fit your preferences, then we will take a look at the relevant parts of the MainWindow
class to see how you can use your custom highlighter class in an application.
Highlighter Class Definition
class Highlighter : public QSyntaxHighlighter { Q_OBJECT public: Highlighter(QTextDocument *parent = 0); protected: void highlightBlock(const QString &text) override; private: struct HighlightingRule { QRegularExpression pattern; QTextCharFormat format; }; QVector<HighlightingRule> highlightingRules; QRegularExpression commentStartExpression; QRegularExpression commentEndExpression; QTextCharFormat keywordFormat; QTextCharFormat classFormat; QTextCharFormat singleLineCommentFormat; QTextCharFormat multiLineCommentFormat; QTextCharFormat quotationFormat; QTextCharFormat functionFormat; };
To provide your own syntax highlighting, you must subclass QSyntaxHighlighter, reimplement the highlightBlock() function, and define your own highlighting rules.
We have chosen to store our highlighting rules using a private struct: A rule consists of a QRegularExpression pattern and a QTextCharFormat instance. The various rules are then stored using a QVector.
The QTextCharFormat class provides formatting information for characters in a QTextDocument specifying the visual properties of the text, as well as information about its role in a hypertext document. In this example, we will only define the font weight and color using the QTextCharFormat::setFontWeight() and QTextCharFormat::setForeground() functions.
Highlighter Class Implementation
When subclassing the QSyntaxHighlighter class you must pass the parent parameter to the base class constructor. The parent is the text document upon which the syntax highlighting will be applied. In this example, we have also chosen to define our highlighting rules in the constructor:
Highlighter::Highlighter(QTextDocument *parent) : QSyntaxHighlighter(parent) { HighlightingRule rule; keywordFormat.setForeground(Qt::darkBlue); keywordFormat.setFontWeight(QFont::Bold); QStringList keywordPatterns; keywordPatterns << "\\bchar\\b" << "\\bclass\\b" << "\\bconst\\b" << "\\bdouble\\b" << "\\benum\\b" << "\\bexplicit\\b" << "\\bfriend\\b" << "\\binline\\b" << "\\bint\\b" << "\\blong\\b" << "\\bnamespace\\b" << "\\boperator\\b" << "\\bprivate\\b" << "\\bprotected\\b" << "\\bpublic\\b" << "\\bshort\\b" << "\\bsignals\\b" << "\\bsigned\\b" << "\\bslots\\b" << "\\bstatic\\b" << "\\bstruct\\b" << "\\btemplate\\b" << "\\btypedef\\b" << "\\btypename\\b" << "\\bunion\\b" << "\\bunsigned\\b" << "\\bvirtual\\b" << "\\bvoid\\b" << "\\bvolatile\\b" << "\\bbool\\b"; foreach (const QString &pattern, keywordPatterns) { rule.pattern = QRegularExpression(pattern); rule.format = keywordFormat; highlightingRules.append(rule); }
First we define a keyword rule which recognizes the most common C++ keywords. We give the keywordFormat
a bold, dark blue font. For each keyword, we assign the keyword and the specified format to a HighlightingRule object and append the object to our list of rules.
classFormat.setFontWeight(QFont::Bold); classFormat.setForeground(Qt::darkMagenta); rule.pattern = QRegularExpression("\\bQ[A-Za-z]+\\b"); rule.format = classFormat; highlightingRules.append(rule); quotationFormat.setForeground(Qt::darkGreen); rule.pattern = QRegularExpression("\".*\""); rule.format = quotationFormat; highlightingRules.append(rule); functionFormat.setFontItalic(true); functionFormat.setForeground(Qt::blue); rule.pattern = QRegularExpression("\\b[A-Za-z0-9_]+(?=\\()"); rule.format = functionFormat; highlightingRules.append(rule);
Then we create a format that we will apply to Qt class names. The class names will be rendered with a dark magenta color and a bold style. We specify a string pattern that is actually a regular expression capturing all Qt class names. Then we assign the regular expression and the specified format to a HighlightingRule object and append the object to our list of rules.
We also define highlighting rules for quotations and functions using the same approach: The patterns have the form of regular expressions and are stored in HighlightingRule objects with the associated format.
singleLineCommentFormat.setForeground(Qt::red); rule.pattern = QRegularExpression("//[^\n]*"); rule.format = singleLineCommentFormat; highlightingRules.append(rule); multiLineCommentFormat.setForeground(Qt::red); commentStartExpression = QRegularExpression("/\\*"); commentEndExpression = QRegularExpression("\\*/"); }
The C++ language has two variations of comments: The single line comment (//
) and the multiline comment (/*...*
/
). The single line comment can easily be defined through a highlighting rule similar to the previous ones. But the multiline comment needs special care due to the design of the QSyntaxHighlighter class.
After a QSyntaxHighlighter object is created, its highlightBlock() function will be called automatically whenever it is necessary by the rich text engine, highlighting the given text block. The problem appears when a comment spans several text blocks. We will take a closer look at how this problem can be solved when reviewing the implementation of the Highlighter::highlightBlock()
function. At this point we only specify the multiline comment's color.
void Highlighter::highlightBlock(const QString &text) { foreach (const HighlightingRule &rule, highlightingRules) { QRegularExpressionMatchIterator matchIterator = rule.pattern.globalMatch(text); while (matchIterator.hasNext()) { QRegularExpressionMatch match = matchIterator.next(); setFormat(match.capturedStart(), match.capturedLength(), rule.format); } }
The highlightBlock() function is called automatically whenever it is necessary by the rich text engine, i.e. when there are text blocks that have changed.
First we apply the syntax highlighting rules that we stored in the highlightingRules
vector. For each rule (i.e. for each HighlightingRule object) we search for the pattern in the given text block using the QString::indexOf() function. When the first occurrence of the pattern is found, we use the QRegularExpressionMatch::capturedLength() function to determine the string that will be formatted. QRegularExpressionMatch::capturedLength() returns the length of the last matched string, or 0 if there was no match.
To perform the actual formatting the QSyntaxHighlighter class provides the setFormat() function. This function operates on the text block that is passed as argument to the highlightBlock()
function. The specified format is applied to the text from the given start position for the given length. The formatting properties set in the given format are merged at display time with the formatting information stored directly in the document. Note that the document itself remains unmodified by the format set through this function.
This process is repeated until the last occurrence of the pattern in the current text block is found.
setCurrentBlockState(0);
To deal with constructs that can span several text blocks (like the C++ multiline comment), it is necessary to know the end state of the previous text block (e.g. "in comment"). Inside your highlightBlock()
implementation you can query the end state of the previous text block using the QSyntaxHighlighter::previousBlockState() function. After parsing the block you can save the last state using QSyntaxHighlighter::setCurrentBlockState().
The previousBlockState() function return an int value. If no state is set, the returned value is -1. You can designate any other value to identify any given state using the setCurrentBlockState() function. Once the state is set, the QTextBlock keeps that value until it is set again or until the corresponding paragraph of text is deleted.
In this example we have chosen to use 0 to represent the "not in comment" state, and 1 for the "in comment" state. When the stored syntax highlighting rules are applied we initialize the current block state to 0.
int startIndex = 0; if (previousBlockState() != 1) startIndex = text.indexOf(commentStartExpression);
If the previous block state was "in comment" (previousBlockState() == 1
), we start the search for an end expression at the beginning of the text block. If the previousBlockState() returns 0, we start the search at the location of the first occurrence of a start expression.
while (startIndex >= 0) { QRegularExpressionMatch match = commentEndExpression.match(text, startIndex); int endIndex = match.capturedStart(); int commentLength = 0; if (endIndex == -1) { setCurrentBlockState(1); commentLength = text.length() - startIndex; } else { commentLength = endIndex - startIndex + match.capturedLength(); } setFormat(startIndex, commentLength, multiLineCommentFormat); startIndex = text.indexOf(commentStartExpression, startIndex + commentLength); } }
When an end expression is found, we calculate the length of the comment and apply the multiline comment format. Then we search for the next occurrence of the start expression and repeat the process. If no end expression can be found in the current text block we set the current block state to 1, i.e. "in comment".
This completes the Highlighter
class implementation; it is now ready for use.
MainWindow Class Definition
Using a QSyntaxHighlighter subclass is simple; just provide your application with an instance of the class and pass it the document upon which you want the highlighting to be applied.
class MainWindow : public QMainWindow { Q_OBJECT public: MainWindow(QWidget *parent = 0); public slots: void about(); void newFile(); void openFile(const QString &path = QString()); private: void setupEditor(); void setupFileMenu(); void setupHelpMenu(); QTextEdit *editor; Highlighter *highlighter; };
In this example we declare a pointer to a Highlighter
instance which we later will initialize in the private setupEditor()
function.
MainWindow Class Implementation
The constructor of the main window is straight forward. We first set up the menus, then we initialize the editor and make it the central widget of the application. Finally we set the main window's title.
MainWindow::MainWindow(QWidget *parent) : QMainWindow(parent) { setupFileMenu(); setupHelpMenu(); setupEditor(); setCentralWidget(editor); setWindowTitle(tr("Syntax Highlighter")); }
We initialize and install the Highlighter
object in the private setupEditor() convenience function:
void MainWindow::setupEditor() { QFont font; font.setFamily("Courier"); font.setFixedPitch(true); font.setPointSize(10); editor = new QTextEdit; editor->setFont(font); highlighter = new Highlighter(editor->document()); QFile file("mainwindow.h"); if (file.open(QFile::ReadOnly | QFile::Text)) editor->setPlainText(file.readAll()); }
First we create the font we want to use in the editor, then we create the editor itself which is an instance of the QTextEdit class. Before we initialize the editor with the MainWindow
class definition file, we create a Highlighter
instance passing the editor's document as argument. This is the document that the highlighting will be applied to. Then we are done.
A QSyntaxHighlighter object can only be installed on one document at the time, but you can easily reinstall the highlighter on another document using the QSyntaxHighlighter::setDocument() function. The QSyntaxHighlighter class also provides the document() function which returns the currently set document.
Other Code Editor Features
It is possible to implement parenthesis matching with QSyntaxHighlighter. The "Matching Parentheses with QSyntaxHighlighter" article in Qt Quarterly 31 (http://doc.qt.io/archives/qq/) implements this. We also have the Code Editor Example, which shows how to implement line numbers and how to highlight the current line.
Files:


--- layout: post title: M's First Day of First Grade categories: [] tags: - emma - family status: publish type: post published: true meta: _original_post_id: '' _original_import_author: John Duprey author: ---
Emma started First Grade this week. These are photos of her waiting for the bus which, like last year, failed to pick her up! Abby drove her to school and she had a great day. In fact she didn't want to leave! Pictures of the bus at the end are from her second day.


Get(WindowDesktopHeight)Note For information on how functions evaluate differently on the host versus the client, search the FileMaker Knowledge Base available at http://help.filemaker.com.Returns 956 in Windows when there is a single monitor and its MDI is set to 1280 x 1024.Returns 1178 in OS X when there is a single monitor and its resolution is set to 1900 x 1200.


Michael Healy-Rae TD brought to hospital after fire at Kerry shop
Healy-Rae is understood to be okay but is being checked due to the potential effects of smoke inhalation.
by Rónán DuffyINDEPENDENT TD MICHAEL Healy-Rae has been transferred to hospital after a fire at his shop in Kilgarvan.
Healy-Rae was taken to hospital by ambulance as a precaution due to the potential effects of smoke inhalation.
A spokesperson from Healy-Rae’s Dáil office said that the Kerry TD is fine and is being checked as is standard for anyone exposed to smoke from a fire.
“The man is fine,” the spokesperson said, adding that the incident is being “blown out of all proportion by the media”.
In 2016, Michael-Healy Rae was hospitalised due to injuries he sustained in a farming accident when he was attacked by the cow after she calved.
- With reporting by Christina Finn


Atomic modules was developed by a team of 5 masters students, from the University of Southampton. Atomic modules was built with goal of enabling students make better choices with regards to the modules and their career paths. Atomic modules can also serve as a platform for students to collaborate and construct their knowldge by cooperating in the creation of notes.


Texas A&M Cybersecurity Club is an organization for people interested in learning practical skills and knowledge in the cybersecurity field.
Whether you are new or a veteran, our community of students welcomes all skill levels.
Weekly Meetings
Come join us Tuesdays and Thursdays at ETB 1005 at 5:30 pm for our weekly meetings. Join our mailing list to get the latest update or check the calendar.


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The Greatest Musical You Have Ever Seen


Preview: Lightning look to take care of Sabres on Monday night
by APTV: FOX Sports Sun
TIME: Pregame coverage begins at 6:30 p.m.
STREAM IT LIVE ON FOX SPORTS GO
Buffalo Sabres (11-9-3, fifth in the Atlantic Division) vs. Tampa Bay Lightning (11-7-2, sixth in the Atlantic Division)
BOTTOM LINE
The Tampa Bay Lightning host Buffalo after Zemgus Girgensons scored two goals in the Sabres’ 5-2 victory against the Panthers.
The Lightning are 6-2-0 against the rest of their division. Tampa Bay has scored 74 goals and is the league leader averaging 3.7 goals per game. Nikita Kucherov leads the team with seven.
The Sabres are 5-3-0 against opponents in the Atlantic Division. Buffalo has allowed 19 power-play goals, killing 73.6% of opponent opportunities.
Tampa Bay beat Buffalo 5-3 in the last meeting between these teams on Nov. 9. Patrick Maroon scored two goals for the Lightning in the win.
TOP PERFORMERS
Kucherov leads the Lightning with seven goals, adding 13 assists and recording 20 points. Anthony Cirelli has scored five goals over the last 10 games for Tampa Bay.
Jack Eichel leads the Sabres with 15 total assists and has recorded 29 points. Sam Reinhart has three goals and four assists over the last 10 games for Buffalo.
LAST 10 GAMES
Sabres: 2-7-1, averaging 2.3 goals, 3.6 assists, 4.1 penalties and 10.4 penalty minutes while giving up 3.4 goals per game with a .889 save percentage.
Lightning: 6-4-0, averaging 4.1 goals, 7.5 assists, 4.8 penalties and 12.9 penalty minutes while giving up three goals per game with a .908 save percentage.
Lightning Injuries: Steven Stamkos: day to day (lower body).
Sabres Injuries: Johan Larsson: out (upper body).


Supplying the wheel, so you don't have to re-invent it!
text text text
http://www.learntechnology.net/struts-ajax-crud.do
http://www.learntechnology.net/ajax-sports.do
http://manfred-wolff.de/data/ManneAjax.pdf


Client side application is a software that is running on computers and create requests to servers.
Client applications are of 2 types based on frequency of requests made to server.
Thin client applications are frequent requestors to servers. Browser is best example and is a classic thin client application.
Thick client applications does most of the processing and contacts server occasionally. Mobile apps are best examples for thick client application.
Client applications is written in languages that would provide HTTP request creators. There are 4 basic and 5 more types of requests as explained in previous posts.
GET requests are favoured by several as it is simple to use and implement. However,
PUT and POST are also equally important. DELETE is generally not used citing security vulnerability. Due to its importance, HTTP requests are in separate blog.
Most of these requests are asynchronous which means developer needs to handle
application behaviour until server responds. Hence, server calls mostly use multithreading at client side.
Response from server has its own mime type defined. Response can vary from simple JSON to video or audio binary information. Processing of response starts by looking at the response code. Based on this code, response type and response data are evaluated.
Browsers (thin client) also has caching to reduce load to server. Similar to caching we have techniques (like offline storage, session storage, cookies), that can reduce number of calls made to server.
Recently, most of the validation computation are done in client side application. Servers seems to only handle data. In some cases, client application directly saves information to database servers.
AngularJS is one such powerful front-end language
that yields client side multi-layer application. JSON medium and REST services has unfolded new possibilities in client side applications.


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For questions about this blog, write b {dot} schmidt {at} neu.edu
For general Bookworm support questions, you are best served submitting an issue to one of the github repositories that the [Bookworm Project maintains](http://github.com/Bookworm-Project).


import static javascalautils.OptionCompanion.Option;
import static javascalautils.TryCompanion.Try;
import junitextensions.OptionAssert;
import junitextensions.TryAssert;
import org.junit.Test;
/**
* Example test class illustrating how to use the assert interfaces from this library.
* The interfaces allows mixing in new behavior.
*/
public class ExampleTestClass implements OptionAssert, TryAssert {
@Test
public void assertingSome() {
String expected = "Some is never None";
//this method is inherited from OptionAssert
assertSomeEquals(expected, Option(expected));
}
@Test
public void getNoneExistingItemFromMap() {
//this method is inherited from OptionAssert
assertIsNone(Option(null));
}
@Test
public void assertingSuccess(){
//this method is inherited from TryAssert
assertSuccessEquals(66, Try(() -> 33*2));
}
@Test
public void assertingFailure(){
//this method is inherited from TryAssert
assertIsFailure(Try(() -> 69/0)); //division by zero, will fail
}
}
Copyright 2015 Peter Nerg.
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.


Loughlin, Giannulli fighting new charges in admissions case | Honolulu Star-Advertiser
BOSTON >> “Full House” actress Lori Loughlin and her fashion designer husband are contesting expanded charges against them in the college admissions bribery scandal.
Lawyers for Loughlin and Mossimo Giannulli entered not guilty pleas on their behalf today to charges of conspiracy to commit federal program bribery.
Earlier this month, the couple waived their right to appear in federal court in Boston to answer to the latest counts.
Prosecutors added the bribery charge for 11 parents who previously pleaded not guilty in the case. Another 19 parents have pleaded guilty or agreed to do so.
Loughlin and Giannulli are accused of paying $500,000 to get their two daughters into the University of Southern California as fake athletic recruits. Their daughters no longer attend USC.
The couple previously pleaded not guilty to fraud and money laundering.


The specialization feature of DITA allows for the creatio
of new element types and attributes that are explicitly and formally
derived from existing types in a way that allows for the blind interchange
of all conforming DITA content and a minimum level of
common processing for all DITA content.
Specialization DTD can be used to create a base for a structural
type spcialization with the correct naming and modularization conventions.
This base can then manually edited to define the element level
specialization details.
A shell DTD defines the set of structural modules
(topic or map types), domain modules, and constraints modules that the map
or topic can use. In general, any production use of DITA involves
definition of the set of modules best suited to local requirements. This
always requires the creation of local shell document types, even if all
they do is omit unneeded modules or apply constraints to the standard
DITA-defined vocabulary.
See article
about the benefits of creating local shells.
Domain attribute specialization allows DITA document type
developers to incorporate new conditional processing attributes that can
be used for filtering and flagging, or new attributes with no existing
equivalent that can be managed and generalized in the same way as
conditional processing attributes.


Thanks a lot for pre-testing this study. Here are a few questions that will help me improve this experiment.
First, I would like to know if you remember seeing any of the following questions in this quiz.
{% for field in form %}
{% formfield field %}
{% endfor %}


Aspiring Software Developer Interested in web apps development and mobile apps development.
@cyimana_faisal
<EMAIL_ADDRESS>KIGALI, RWANDA


| GEOS SDK TechDocs
|
| 2.2 NT Configuration
| 2.4 Registry Configuration
The compiling and linking tools use the following environment variables to find executables and include files. These variables are set from the
system
module of the control panel, not an autoexec file.
setup
sets these environment variables for you; they are included here for reference only.
-
ROOT_DIR
- The root of the SDK installation, typically
C:\PCGEOS
(local development) or
S:\PCGEOS
(network development, substituting your particular network drive for
S:
).
-
GOC_COMPILER_DIR
-
The root of the compiler directory, such as C:\BC45.
-
PATH
- Your PATH must include entries for the
bin\
directories of the Borland C++ compiler, PCGEOS, and your copy of perl. (More information on Borland C++ and perl is found in Compiling GEOS Applications
.)
-
CCOM
- Alternate compilation command for
pmake
. This must be set to
@dosfront bcc
for versions of the Borland compiler prior to 5.0.
| GEOS SDK TechDocs
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Notes on Jul. 20, 2018
| Date: | Jul 20, 2018 |
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| Last Updated: | Aug 10, 2018 |
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Contents
Introduction
Here we would like to discuss about the some papers using deep learning methods to enhance the performance of the traditional inverse problems. The application should be limited in analyzing the electromagnetic wave or acoustic signal. Some works just make the application of existing methods, some works propose fundamental theory and some works give us an inspiration of available architectures. According to the relevance, we would like to divide them into 3 groups.
- Fully relevant: Highly relevant to our topic and for the same application, but may be out of date.
- Topic relevant: Highly relevant to our topic, but the application is different.
- Referable: Not very relevant to out topic, but providing valuable information.
Text
Fully relevant
Three-dimensional defect inversion from magnetic flux leakage signals using iterative neural network
- Title: Three-dimensional defect inversion from magnetic flux leakage signals using iterative neural network
- Author: Junjie Chen, Songling Huang, and Wei Zhao
- Year: 2015
- Theory level: application
- Theory type: network architecture: ANN
- Used data: The magnetic flux leakage (MFL) signal
- Predicted data: The shape of a 3D defect profile
- Source: IET Science, Measurement & Technology
Learning abstract:
In this paper, the author uses a 3 layer radial basis function (RBF) ANN to simulate the forward model of the EM response from a defect profile. Different from the normal ANN, the layer of RBF ANN is defined by two parts: denote $\mathbf{x}$ as the input, $\mathbf{y}$ as the output, the $j^{\mathrm{th}}$ element of the hidden layer $\mathbf{h}$ could be defined as
And the output layer is
Thus we know that RBF is an adaptation for the hidden layer. The optimization of this work could be figured as below:
Geoacoustic model inversion with artificial neural networks
- Title: Geoacoustic model inversion with artificial neural networks
- Author: J. Benson, N.R. Chapman, and A. Antoniou
- Year: 1998
- Theory level: application
- Theory type: network architecture: ANN
- Used data: acoustic signal
- Predicted data: geophysical parameters
- Source: IEEE Symposium on Advances in Digital Filtering and Signal Processing. Symposium Proceedings
Learning abstract:
In this paper, the author use a vertical line of receivers to get the reflected acoustic signal in the ocean. By analyzing the received signal, we try to get some parameters like the boundary between the geophysical surfaces, the density of the material, the signal speed and some other results. The experiments are shown in the following figure.
Both the traditional MLP (ANN) and RBF ANN are used to simulate the inversion of the model. The ANN contains 104 hidden nodes while RBF contains 1200 hidden nodes. The results show that RBF could reach a better result. However, the MSE is only improved marginally by RBF (8.88->8.35).
Electromagnetic NDE signal inversion by function-approximation neural networks
- Title: Electromagnetic NDE signal inversion by function-approximation neural networks
- Author: P. Ramuhalli, L. Udpa, and S.S. Udpa
- Year: 2002
- Theory level: application
- Theory type: network architecture: ANN
- Used data: The magnetic flux leakage (MFL) signal
- Predicted data: The shape of an 1D defect profile
- Source: IEEE Transactions on Magnetics
Learning abstract:
The idea of this work is almost exactly the same as this one. It seems that the paper in 2015 is just a reproduction of this work (in 2002) in the 3D data field.
Note that in this paper, the author also proposes another model, Wavelet-Basis Function Neural Networks(WBF ANN), which could be figured as
The layer in WBF ANN could be defined as
where we use $k$ to represent the output value with different offsets of the same scaling/wavelet function, $l$ represent the resolution stage (where $L$ is the the coarsest one) and $n$ to represent the $n^\mathrm{th}$ output value. $\phi$ is the scaling function and the $\psi$ is the wavelet function. The results show that compared to MLP ANN and RBF ANN, the WBF ANN has the best performance.
Deep Learning for the Design of Nano-photonic Structures
- Title: Deep Learning for the Design of Nano-photonic Structures
- Author: Itzik Malkiel, Michael Mrejen, Achiya Nagler, Uri Arieli, Lior Wolf, and Haim Suchowski
- Year: 2018
- Theory level: application
- Theory type: network architecture: Deep ANN
- Used data: spectrum signal
- Predicted data: nano-photonic structure parameters
- Source: IEEE International Conference on Computational Photography
Learning abstract:
The issue of this work is based on the inspection of optical response transmitted through a nano-photonic material. The author assume that the basic structure of this kind of material could be described by 5 units with a sub-wavelength geometry. Here is the network structure.
(A) shows that the network accept the transmitted spectrum in both directions and the material's geometries. Then it would predict the nano-structure's geometries $\mathbf{g}$. The output geometries would also be used to reconstruct the spectrums $\mathbf{s}_x$, $\mathbf{s}_y$ (also in both directions) so that it could be updated by the reconstruction gradients and the supervised gradients. The loss function could be written as:
where we use $\mathbf{g}_0,~\mathbf{s}_{x0}$ and $\mathbf{s}_{y0}$ to represent the ground truth.
(B) and (C) are two examples of the testing results. In the southwest corner we show the true and predicted geometry. The curves are reconstructed spectrum, which is an estimation of the accuracy of the prediction.
Comparison of Detection Abilities Between Fluxgate and GMR Magnetometer in Inverse ECT of Deep Lying Cracks
- Title: Comparison of Detection Abilities Between Fluxgate and GMR Magnetometer in Inverse ECT of Deep Lying Cracks
- Author: Lukas Behun, Milan Smetana, and Klara Capova
- Year: 2018
- Theory level: application
- Theory type: network architecture: ANN
- Used data: The magnetic measurements
- Predicted data: The shape parameters of defect
- Source: ELEKTRO CONFERENCE PROCEEDINGS
Learning abstract:
In this work, the author use a coil to generate eddy currents on the surface of a sample. Such currents would stimulate a magnetic field, which would be captured by another coil. In practice, the receiver could be viewed as a magnetometer. By analyzing the response returned from the magnetometer, we could infer the parameters (width, length and depth) of the shape of the cracks on the surface.
The collected data would be decomposed by Haar wavelet, then the changes of the gradient of electric scalar potential could be analyzed by the artificial neural network (ANN) which accepts the decomposed data and predict the results like segmentation. By checking the region that is tagged by "gradient change" we could find the shape of the cracks.
A Neural Network Approach for the Inversion of Multi-Scale Roughness Parameters and Soil Moisture
- Title: A Neural Network Approach for the Inversion of Multi-Scale Roughness Parameters and Soil Moisture
- Author: L.B. Farah, I.R. Farah, R. Bennaceur, Z. Belhadj, and M.R. Boussema
- Year: 2006
- Theory level: application
- Theory type: network architecture: ANN
- Used data: The radar backscattering coefficients
- Predicted data: The shape coefficients and conductivity
- Source: International Conference on Information & Communication Technologies
Learning abstract:
This work is an inspection on the surface of a material (actually is the soil). The author build a mathematical wavelet model and use a random process as the parameters of the model to describe the shape of the 2D interface. The parameters of the process, i.e. $\gamma,~\nu$ are used to describe the stationary part of the self autocorrelation that model. Apart from this, $\varepsilon$ represents the conductivity of the soil. Each of these parameters vary from different directions ($x$ and $y$ directions).
Then the radar backscattering coefficient is used to analyze this material. By using different incept angle, we could record different coefficients $\sigma(\theta)$ in two direction (horizontal and vertical). These values are feed into a 4-layer neural network so that it could predict the model parameters discussed before. The error rate of the prediction is about 8%.
Topic relevant
Scaling CNNs for High Resolution Volumetric Reconstruction from a Single Image
- Title: Scaling CNNs for High Resolution Volumetric Reconstruction from a Single
- Author: Adrian Johnston, Ravi Garg, Gustavo Carneiro, and Ian Reid
- Year: 2017
- Theory level: application
- Theory type: network architecture: residual
- Used data: RGB image
- Predicted data: 3D reconstructed model
- Source: 2017 IEEE International Conference on Computer Vision Workshops
Learning abstract:
In this work the authors use a real forward function (iDCT) to replace the decoder part of the auto-encoder. Note that because the forward function here is simple, it should be compatible to be built by basic tensor ops. Therefore, in this work we do not need to define the gradient back propagated from iDCT specifically. The encoder is a residual network and the defined decoder could reach a better performance than the deep learning decoder.
Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems
- Title: Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems
- Author: Raja Giryes, Yonina C. Eldar, Alex M. Bronstein, and Guillermo Sapiro
- Year: 2018
- Theory level: fundamental
- Theory type: pure optimization issue
- Used data: Gray scale image (patched as vectors)
- Predicted data: DCT transformed patches
- Source: IEEE TRANSACTIONS ON SIGNAL PROCESSING
- External Reference: check this link to learn theory about projected gradient algorithm (PGD). Note that PGD is difficult to be realized well in tensorflow due to the slow convergent rate.
Learning abstract:
The authors introduce three baseline methods including iterative shrinkage-thresholding algorithm (ISTA), learned ISTA (LISTA) and projected gradient algorithm (PGD). Then they propose a new method named inexact projected gradient descent algorithm (IPGD). The problem they need to solve is, assuming that we have known $\mathbf{M}$ and response $\mathbf{y}$, we need to get
where $f$ is a regularization function. The ISTA is based on proximal optimization on the primal gradient. The PGD is based on orthogonal projection on the primal gradient. The iPGD uses a tree structure to improve the efficiency of PGD. Note that the author also introduces a learning-based method, i.e. LISTA, which uses a neural network to learn two matrices $\mathbf{U},~\mathbf{A}$ and updates the arguments by
where $\mathbf{z}_t$ is the optimized arguments by $t$ iterations and $\mathrm{prox}$ is the proximal operator which could be referred here.
Onsager-corrected deep learning for sparse linear inverse problems
- Title: Onsager-corrected deep learning for sparse linear inverse problems
- Author: Mark Borgerding, and Philip Schniter
- Year: 2016
- Theory level: fundamental
- Theory type: deep learning & optimization
- Used data: randomly generated data
- Predicted data: randomly generated data
- Source: IEEE Global Conference on Signal and Information Processing
- External Reference: check this link to see the implementation of proximal Adgrad in tensorflow.
- External Reference: check this link to see the theory of learning ISTA (LISTA).
Learning abstract:
The authors introduce four baseline methods including iterative shrinkage-thresholding algorithm (ISTA), fast ISTA (FISTA), learned ISTA (LISTA) and approximate message passing (AMP) algorithm. Then they propose a new method, learned AMP (LAMP). The idea is implementing the idea from LISTA to AMP. The problem is almost the same as what we discussed in $\eqref{top:Giryes:1}$
The basic idea of AMP could be formulated as
Like what we do in LISTA, migrating to LAMP needs us to make some above parameters adjustable. Thus we define $\mathbf{A}_t = \beta_t \mathbf{M}$ and $\mathbf{B}_t = \mathbf{M}^H \mathbf{C}_t$. Then what could adjust is $\{\alpha_t, \beta_t, \mathbf{C}_t\}$, where $t$ is the step number of AMP but here is the layer number of the network. The following figure show the basic architecture of one layer of the network. The experiments show that the layer of the network could be much fewer than the step number of the primal inversion.
DAGAN Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
- Title: DAGAN Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction
- Author: Guang Yang, Simiao Yu, Hao Dong, Greg Slabaugh, Pier Luigi Dragotti, Xujiong Ye , Fangde Liu, Simon Arridge, Jennifer Keegan, Yike Guo, and David Firmin
- Year: 2018
- Theory level: application
- Theory type: network architecture: GAN
- Used data: compressed magnetic resonance imaging (CS-MRI) data
- Predicted data: original MRI data
- Source: IEEE Transactions on Medical Imaging
- External Reference: check this link to see the theory about conditional GAN.
- External Reference: check this link to see a similar theory applied in image super-resolution, which is a more famous work.
Learning abstract:
Denote the original image (reshaped as a vector with a length of $M$) as $\mathbf{x}$, its corresponding compressed image is $\mathbf{y}$ ($\mathbf{y}$ has a length of $N$ which fulfils $N \ll M$). Then when we only know $\mathbf{y}$, we could use a series of basis (as a matrix $\mathbf{F}_u$ with a size of $N \times M$) to recover $\mathbf{x}$ from $\mathbf{y}$ by
Where $f$ is a function about regularization. This is a conventional inversion method.
To replace this process, the authors propose a deep network to predict $\mathbf{x}$. First, we use the transposed basis to get a initialized prediction $\mathbf{x}_u$:
Then we use a generic network to get a residual $G(\mathbf{x})_u$. The desired result would be formulated as $\hat{\mathbf{x}} = \mathbf{x}_u + G(\mathbf{x}_u)$. To make sure the prediction could be precise and in detail, we use a loss function with 4 parts to train the network: (1) pixel-wise MSE loss, (2) spectral-element-wise MSE loss, (3) a VGG-output loss that is used to estimate the difference between the prediction and the ground truth, (4) discriminative loss produced by GAN. In special, (4) involves a discriminator which is used to tell the difference between the ground truth $\mathbf{x}_t$ and the predicted result $\hat{\mathbf{x}}$. This idea comes from conditional GAN that need us to let the discriminator could not tell the difference when giving a pair of ground truth and the prediction.
Referable
Using Deep Neural Networks for Inverse Problems in Imaging
- Title: Using Deep Neural Networks for Inverse Problems in Imaging
- Author: Alice Lucas, Michael Iliadis, Rafael Molina, and Aggelos K. Katsaggelos
- Year: 2018
- Theory level: introductory
- Theory type: network architecture: GAN
- Used data: no
- Source: IEEE Signal Processing Magazine
Learning abstract:
An introductory paper that discusses several kinds of deep networks used in data-driven simulating for the image inversion. It has discussed the conventional CNN, the residual block and the auto-encoder. Beside these, note that the GAN has been an important part. It has discussed how GAN improves the performance in detail.
Estimate articulatory MRI series from acoustic signal using deep architecture
- Title: Estimate articulatory MRI series from acoustic signal using deep architecture
- Author: Hao Li, Jianhua Tao, Minghao Yang and Bin Liu
- Year: 2015
- Theory level: application
- Theory type: network architecture: RBM or DBN
- Used data: speech audio signal
- Predicted data: magnetic resonance imaging (MRI)
- Source: IEEE International Conference on Acoustics, Speech and Signal Processing
- External Reference: check this link to learn implementation about restricted Boltzmann machine (RBM).
Learning abstract:
The author assumes the relationship exists between the MRI images and the speaking signal. To predict the images, the author trains a deep belief network (DBN, also viewed as stacked restricted Boltzmann machine (RBM)) to make the regression. The network architecture and the results are shown below:
(I) is the architecture. Here are n stacked RBMs and a linear regression layer ($h_{n+1}$). Then the linear layer would be mapped into another RBM which is also the output layer. Note that each two layers are fully connected, but the network is trained by each layer individually first and gets fine-tunned finally.
(II) is the prediction compared to the ground truth. We could tell difference for different speaking tones from the results.
(III) is estimation of using different number of hidden units. It shows that the performance would not be improved apparently with increasing the network size.


The routines documented here compute discrete Fourier transforms (DFTs) of sequences of real numbers or of Hermitian sequences in either single or double precision arithmetic. The DFTs are computed using a highly-efficient FFT algorithm. Hermitian sequences are represented in one of the two formats that is described in Introduction to FFTs. The DFT of a real sequence results in a Hermitian sequence; the DFT of a Hermitian sequence is a real sequence.
Please note that prior to Release 2.0 of ACML the routine ZDFFT/CSFFT and ZDFFTM/CSFFTM returned results that were scaled by a factor 0.5 compared with the currently returned results.


Community of ERPNext Users, Developers and Service Providers
The goal of the ERPNext Foundation is to provide a platform for the ERPNext Community to come together, join hands and build assets to help build and enhance ERPNext around the world. ERPNext Foundation aims to be a community driven organization and run in a transparent


This has been generated and provided to the requesting user, and this is available at https://drive.google.com/file/d/1KHWzDZXIw8Y8seCDXkXzuSGVO-QAC_9Q/view?usp=sharing
Please find the necessary changes for the CLI on the following branch: https://github.com/pulibrary/dspace-cli/compare/jrgriffiniii-cli-java...pulibrary:jrgriffiniii-oar-statistics
These records do not appear to have been imported, I will request support from colleagues in EUS.
labeled
by Kim Leaman at 2020-12-04 00:00:02.mentioned
by Trey Pendragon at 2020-12-04 00:00:02.subscribed
by Trey Pendragon at 2020-12-04 00:00:02.This happens when passenger is overloaded with requests, usually from a bunch of manifest requests from DPUL. For it to be happening right now there would have either had to have been a bunch of saves in Figgy at the same time which are in DPUL collections, or a DPUL collection was made or reindexed?
To fix this with infrastructure we'd have to either make more figgy boxes until it can keep up, or add a figgy3
which just serves manifests, leaving the front-end to other boxes.
labeled
by Kim Leaman at 2020-12-04 16:59:42.closed
by Trey Pendragon at 2020-12-04 18:07:20.referenced
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by None at 2020-12-04 19:50:12.referenced
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by None at 2020-12-04 19:50:12.head_ref_deleted
by None at 2020-12-04 19:50:13.Alexis is suddenly having the same problem.
I may not be the best to try and reproduce this (apologies, this has worked for me through multiple iterations of testing), but I could not reproduce this error.
closed
by None at 2020-12-04 21:08:51.closed
by None at 2020-12-04 21:08:51.closed
by None at 2020-12-04 21:08:51.This one actually not resolved by pulibrary/princeton_ansible#1913
closed
by None at 2020-12-04 21:08:51.reopened
by None at 2020-12-04 21:11:20.review_request_removed
by Kevin Reiss at 2020-12-03 22:40:02.referenced
by Christina Chortaria at 2020-12-03 22:40:47.merged
by Christina Chortaria at 2020-12-03 22:40:47.closed
by Christina Chortaria at 2020-12-03 22:40:47.head_ref_deleted
by Christina Chortaria at 2020-12-03 22:40:48.https://bibdata.princeton.edu/bibliographic/99222517306421/jsonld?adapter=alma mms_id:<PHONE_NUMBER>6421
This is to advance the jsonld spec https://github.com/pulibrary/marc_liberation/blob/24e9b0f16dd242970c25a7d9417d51ee10a7a28b/spec/controllers/bibliographic_controller_spec.rb#L126
renamed
by Christina Chortaria at 2020-12-03 22:34:50.assigned
by Christina Chortaria at 2020-12-03 22:35:19.renamed
by Christina Chortaria at 2020-12-03 23:14:25.Just did this.
for posterity, here is an alma documentation page https://knowledge.exlibrisgroup.com/Alma/Product_Documentation/010Alma_Online_Help_(English)/090Integrations_with_External_Systems/030Resource_Management/080Publishing_and_Inventory_Enrichment
assigned
by None at 2020-12-04 14:33:29.closed
by None at 2020-12-04 14:37:34.We've changed our approach and are now removing / replacing voyager code; this is no longer relevant.
closed
by None at 2020-12-04 14:43:10.Coverage increased (+0.05%) to 77.001% when pulling<PHONE_NUMBER>532178e338705bb4866f73d361a8fe on refactoralmaadapter into 24e9b0f16dd242970c25a7d9417d51ee10a7a28b on alma.
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by Trey Pendragon at 2020-12-03 23:49:36.head_ref_force_pushed
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by None at 2020-12-04 15:15:27.closed in #919
closed
by None at 2020-12-04 15:17:08.labeled
by None at 2020-12-04 15:51:05.unassigned
by None at 2020-12-04 15:51:12.assigned
by Eliot Jordan at 2020-12-04 15:51:37.renamed
by None at 2020-12-04 20:18:38.@christinach This issue says 852
but the comment in the file says 952
-- can you clarify?
renamed
by None at 2020-12-04 20:19:47.mentioned
by Christina Chortaria at 2020-12-04 20:23:37.subscribed
by Christina Chortaria at 2020-12-04 20:23:37.renamed
by None at 2020-12-04 20:24:28.labeled
by None at 2020-12-04 15:42:41.labeled
by None at 2020-12-04 15:50:35.renamed
by None at 2020-12-04 20:21:00.labeled
by None at 2020-12-04 20:28:40.labeled
by None at 2020-12-04 20:28:49.renamed
by None at 2020-12-04 20:18:34.labeled
by None at 2020-12-04 20:28:57.labeled
by None at 2020-12-04 15:49:14.unlabeled
by None at 2020-12-04 15:49:34.labeled
by None at 2020-12-04 15:49:54.Coverage remained the same at 77.001% when pulling 788c28f57db25eeb0cbdbb33e6422798600e5ade on 859-full-dump into a691bf10e8f475172a586921d003f8f280329589 on alma.
@tpendragon ready for re-review
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by None at 2020-12-04 16:47:25.head_ref_force_pushed
by None at 2020-12-04 17:53:23.head_ref_force_pushed
by None at 2020-12-04 18:54:23.mentioned
by Trey Pendragon at 2020-12-04 18:55:01.subscribed
by Trey Pendragon at 2020-12-04 18:55:01.referenced
by Eliot Jordan at 2020-12-04 21:12:56.merged
by Eliot Jordan at 2020-12-04 21:12:56.closed
by Eliot Jordan at 2020-12-04 21:12:56.head_ref_deleted
by Eliot Jordan at 2020-12-04 21:12:57.Coverage decreased (-5.06%) to 77.001% when pulling 8c4d15c5e92902f4de189a560ae1bb94886a8c77 on alma into d2923fd010050b3acf04ce4de47e1727e9442bc4 on main.
https://github.com/pulibrary/marc_liberation/compare/alma...issues-856-jrgriffiniii-notes tracks an initial refactor for generating the JSON response for the BibliographicController#bib_items action
@kelea99 Got it, thanks. Even if it's not a priority, though, it seems like it would be good to know which way we want to go. Do you have a preference? I do think it is more conventional for urls to be lowercase so I might lean in that direction.
@hackartisan 👍🏻 to requiring the URLs to be lowercase — I think it would be potentially very confusing to have case-sensitive collection slugs.
👍 closing in favor of pulibrary/figgy#4340
Agree with @escowles . All lower case , it is :)
mentioned
by Kim Leaman at 2020-12-04 14:08:52.subscribed
by Kim Leaman at 2020-12-04 14:08:52.mentioned
by None at 2020-12-04 14:10:20.subscribed
by None at 2020-12-04 14:10:20.closed
by None at 2020-12-04 14:53:53.mentioned
by Esmé Cowles at 2020-12-04 16:50:02.subscribed
by Esmé Cowles at 2020-12-04 16:50:02.labeled
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by None at 2020-12-04 18:57:48.merged
by None at 2020-12-04 18:57:48.closed
by None at 2020-12-04 18:57:48.head_ref_deleted
by None at 2020-12-04 18:57:49.assigned
by None at 2020-12-04 13:54:02.closed
by None at 2020-12-04 19:38:56.head_ref_force_pushed
by None at 2020-12-04 18:59:58.referenced
by None at 2020-12-04 19:38:55.merged
by None at 2020-12-04 19:38:56.closed
by None at 2020-12-04 19:38:56.head_ref_deleted
by None at 2020-12-04 19:38:57.closed
by None at 2020-12-04 20:13:59.head_ref_force_pushed
by None at 2020-12-04 19:43:24.referenced
by None at 2020-12-04 20:13:59.merged
by None at 2020-12-04 20:13:59.closed
by None at 2020-12-04 20:13:59.head_ref_deleted
by None at 2020-12-04 20:14:00.closed
by Francis Kayiwa at 2020-12-04 20:22:58.head_ref_force_pushed
by Francis Kayiwa at 2020-12-04 16:30:19.head_ref_force_pushed
by Francis Kayiwa at 2020-12-04 17:27:50.head_ref_force_pushed
by None at 2020-12-04 20:22:51.referenced
by Francis Kayiwa at 2020-12-04 20:22:58.merged
by Francis Kayiwa at 2020-12-04 20:22:58.closed
by Francis Kayiwa at 2020-12-04 20:22:58.head_ref_deleted
by Francis Kayiwa at 2020-12-04 20:22:59.closed
by None at 2020-12-04 21:06:07.head_ref_force_pushed
by Francis Kayiwa at 2020-12-04 19:33:12.head_ref_force_pushed
by Francis Kayiwa at 2020-12-04 19:50:16.head_ref_force_pushed
by Francis Kayiwa at 2020-12-04 20:31:18.referenced
by None at 2020-12-04 21:06:07.merged
by None at 2020-12-04 21:06:07.closed
by None at 2020-12-04 21:06:07.head_ref_deleted
by None at 2020-12-04 21:06:08.head_ref_force_pushed
by None at 2020-12-04 20:28:16.head_ref_force_pushed
by None at 2020-12-04 21:07:49.referenced
by None at 2020-12-04 21:08:51.merged
by None at 2020-12-04 21:08:51.closed
by None at 2020-12-04 21:08:51.head_ref_deleted
by None at 2020-12-04 21:08:52.head_ref_force_pushed
by Francis Kayiwa at 2020-12-04 16:22:02.head_ref_force_pushed
by Francis Kayiwa at 2020-12-04 20:26:15.head_ref_force_pushed
by Francis Kayiwa at 2020-12-04 21:12:14.referenced
by Francis Kayiwa at 2020-12-04 19:58:41.merged
by Francis Kayiwa at 2020-12-04 19:58:41.closed
by Francis Kayiwa at 2020-12-04 19:58:41.head_ref_deleted
by Francis Kayiwa at 2020-12-04 19:58:45.referenced
by Kevin Reiss at 2020-12-04 21:04:30.merged
by Kevin Reiss at 2020-12-04 21:04:30.closed
by Kevin Reiss at 2020-12-04 21:04:30.head_ref_deleted
by Kevin Reiss at 2020-12-04 21:04:33.Update staff user index, too:
drush sapi-c 28
drush sapi-i 28
Creators aren't published in ASpace yet.
renamed
by Shaun Ellis at 2020-12-03 22:04:18.labeled
by Shaun Ellis at 2020-12-04 17:08:20.mentioned
by None at 2020-12-04 17:38:16.subscribed
by None at 2020-12-04 17:38:16.milestoned
by Shaun Ellis at 2020-12-04 21:16:33.milestoned
by Shaun Ellis at 2020-12-04 21:23:41.milestoned
by Shaun Ellis at 2020-12-04 21:46:05.milestoned
by Shaun Ellis at 2020-12-04 21:49:50.milestoned
by Shaun Ellis at 2020-12-04 21:55:47.Resolved: Library Catalog is back up in 728d653
.
labeled
by Francis Kayiwa at 2020-12-04 23:17:36.labeled
by Francis Kayiwa at 2020-12-04 23:17:36.locked
by Francis Kayiwa at 2020-12-04 23:17:36.closed
by Francis Kayiwa at 2020-12-04 23:29:36.


Make people guess hundreds of objects, characters, and titles by combining universal icons!
Welcome to Concept ! A game where you need to guess words only by concepts.
In order to play you have to choose a username on the top of the page.
Create a new game !
You have to be 2 at minimum to start the game.
Finding a partner


Filter the Data
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Age:
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Date Range:
Friday, 1st January 2010
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Saturday, 31st December 2016
Entire Period
Year
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Region Information
Hover over a region for more information.


Argentine President-elect Fernandez decries 'coup' against Bolivia's Morales
BUENOS AIRES (Reuters) - Argentine President-elect Alberto Fernandez said on Sunday a “coup” had been carried out against Bolivian leader Evo Morales, who announced his resignation earlier in the day under mounting pressure from anti-government protests and the military.
“The institutional breakdown in Bolivia is unacceptable. The Bolivian people must choose as soon as possible, in free and informed elections, their next government,” Fernandez wrote on Twitter.


Before Change
in_channels=planes, channels=planes, kernel_size=3, strides=strides,
padding=dilation, dilation=dilation, use_bias=False)
self.bn2 = norm_layer(in_channels=planes)
self.conv3 = nn.Conv2D(
in_channels=planes, channels=planes * 4, kernel_size=1, use_bias=False)
if not last_gamma:
self.bn3 = nn.BatchNorm(in_channels=planes * 4)
else:
self.bn3 = nn.BatchNorm(in_channels=planes * 4, gamma_initializer="zeros")
self.relu = nn.Activation("relu")
self.downsample = downsample
self.dilation = dilation
self.strides = strides
def hybrid_forward(self, F, x):
residual = x
After Change
padding=dilation, dilation=dilation, use_bias=False)
self.bn1 = norm_layer(in_channels=planes, use_global_stats=use_global_stats)
self.relu = nn.Activation("relu")
self.conv2 = nn.Conv2D(in_channels=planes, channels=planes, kernel_size=3, strides=1,
padding=previous_dilation, dilation=previous_dilation,
use_bias=False)
self.bn2 = norm_layer(in_channels=planes, use_global_stats=use_global_stats)
self.downsample = downsample
self.strides = strides


[gecode-users] Server migration...
Christian Schulte
cschulte at kth.se
Fri Nov 27 14:01:39 CET 2009
Dear all,
the server migration is done. So everything should work as before. Please
let us know if anything does not work as expected.
All the best
Christian
--
Christian Schulte, www.ict.kth.se/~cschulte/
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
Of Christian Schulte
Sent: Thursday, November 26, 2009 5:22 PM
To: 'gecode gecode'
Subject: [gecode-users] Server migration...
Dear all,
We are in the process of migrating gecode.org to a new server. Please expect
some hick-ups in the near future. Right now, we are migrating the svn, so
svn access will not be possible for some time. We will let you know when svn
migration is done and also about other quirks to come.
Sorry for any inconvenience.
Christian
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Fake street, 100 NYC - 20179, USA
+1 - 256 845 87 86
<EMAIL_ADDRESS>I am alone, and feel the charm of existence in this spot, which was created for the bliss of souls like mine. I am so happy, my dear friend, so absorbed in the exquisite sense of mere tranquil existence.
© 2014-2018 Pingendo. All rights reserved


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WITNESS LIST State Affairs Committee April 9, 2001 - 1:00P SB 221 Registering, but not testifying: For: Strader, James (Orbis Online), San Antonio, TX On: Biles, Susan (Texas State Comptroller), Austin, TX McLaughlin, Laure (Texas State Comptroller), Austin, TX SB 292 FOR: Clark, Leslie A. (Retired State Employees Association), Austin, TX Zukowski, Jim (Texas Public Employees Association), Austin, TX ON: Nail, William (Shack) (ERS), Austin, TX Registering, but not testifying: For: Anderson, Gary (Texas Public Employees Association), Austin, TX Johnson, Julia (Self), Austin, TX Maluschka, Maurice (Retired State Employees Association), Austin, TX McGinnis, Larry (Department of Public Safety Officers Association), Austin, TX Zivley, June (Self), Pflugerville, TX Zivley, Lane (Self), Pflugerville, TX SB 311 ON: Dillon, Ann (GSC), Austin, TX Golden, Dolly (Golden World Travel), Austin, TX Gonzales, Steve (Snap-On Tools Co.), Cedar Park, TX Jones, Jennifer (Sunset Commission), Austin, TX Purcell, Carolyn (Department of Information Resources), Austin, TX Shull, Gene (GSC), Austin, TX Stagner, Steve (Consulting Engineers Council), Austin, TX Registering, but not testifying: On: Biles, Susan (Texas State Comptroller), Austin, TX Bremer, Dan (GSC), Austin, TX Cardenas, Tomas (GSC), Austin, TX Cordes, Donna (GSC), Austin, TX D'Souza, Anita (Legislative Budget Board), Austin, TX Davenport, John (GSC), Austin, TX Dykes, Joe (GSC), Austin, TX Grimm, Marilyn (GSC), Austin, TX Hill, Cynthia (GSC), Austin, TX James, Carla (GSC), Austin, TX Kelly, Brian (GSC), Austin, TX Levine, Ken (Sunset Commission), Austin, TX Macy, Jack (Affordable Travel, Inc.), Austin, TX McLaughlin, Laure (Texas State Comptroller), Austin, TX Pavelka, Geraldine (GSC), Austin, TX Reed, Cindy (State Auditor's Office), Austin, TX Schlimpir, Paul (GSC), Austin, TX Scogin, James (Texas Comptroller of Public Accounts), Austin, TX Sinclair, Dorothy (GSC), Austin, TX Wayne, Ralph (Texas State Cemetery Committee), Austin, TX SB 488 FOR: Collett, Teresa (Self), The Woodlands, TX Dukes, David (Rescue The Family), Austin, TX Elieson, Kurt (Self), Carrollton, TX Johnson, Allen (Self), Austin, TX AGAINST: Brady, Hugh (Self), Winooski, VT Hardy Garcia, Dianne (Lesbian Gay Rights Lobby of Texas), Austin, TX Martino, Kelly (Self), Austin, TX Rigby, Jim (Self), Austin, TX Rundin, John S. (Self), San Antonio, TX Smoot, Samantha (Texas Freedom Network), Austin, TX Vose, Seth (Self), Grand Prairie, TX Registering, but not testifying: For: Adams, Arien (Brackenridge-U.T. Student Housing), Austin, TX Adams, Cathie (Texas Eagle Forum), Dallas, TX Akerman, Aimee (Self), Austin, TX Anderson, Chuck (Texas Christian Coalition), DFW Airport, TX Arellano, Flora (Self), Round Rock, TX Bangert, Ryan (Texas Eagle Forum), Dallas, TX Brady, Allan (Self), Austin, TX Brady, Sharon (Self), Austin, TX Brill, Robert (The Church of Jesus Christ of Latter-day Saints), Austin, TX Burnett, Valerie (Self), Austin, TX Burton, Timothy (Self), Austin, TX Burton, Yuka (Self), Austin, TX Casanova, Roy (Republican National Hispanic Assembly), San Antonio, TX Clardy, Joanna (Self), Austin, TX Cravens, Peggy (Self), Austin, TX Daly, Richard (Texas Catholic Conference), Austin, TX Davison, Cindi (Self), Austin, TX DeLeon, Mele P. (Self/The Church of Jesus Christ of Latter-day Saints), Austin, TX DeVillez, Lori (Self), Austin, TX Everett, Carol (Self), Austin, TX Gallup, Suzanne (Self), Austin, TX Garcia, Victor (Self), Austin, TX Germann, Christopher (Self), Austin, TX Gerstenschlager, Merry Lynn (Texas Eagle Forum), Weatherford, TX Gibbs, Suzanne (Self), Austin, TX Giberson, Todd (Self), Buda, TX Gregory, Chad (Self), Austin, TX Gregory, Kristina (Self), Austin, TX Hannesschlager, Mike (Texas Christian Coalition), DFW Airport, TX Howell, Debra (Self), Austin, TX Janes, Doug (Self), Austin, TX Janes, Lonette (Self), Austin, TX Johnson, Patrice (Self), Buda, TX Knepp, Carolyn Sue (Self), Austin, TX Knepp, Shelly (Self), Austin, TX Kral, Joe (Self), Houston, TX Lillie, Andrew (Self), Austin, TX Limb, Ted (Self), Austin, TX Lucas, JoAnn (Self), Austin, TX Lucas, William (Self), Austin, TX Markham, Gerry Anne (Self), Austin, TX McCullough, Frank (Self), Austin, TX Meyer, Noma (Self), Austin, TX Myers, Jackelyn (Texas Eagle Forum), Frisco, TX Newman, Anne (Texas Justice Foundation), San Antonio, TX Osorio, Ganae (Self), Austin, TX Osorio, Teresa (Self), Austin, TX Overbey, Kirk (Self), Austin, TX Palmer, Mark (Self), Austin, TX Pearce, Jan (Self), Del Valle, TX Pearce, John (Self), Del Valle, TX Phillips, Emily (Self), Austin, TX Phillips, Jr., Richard B. (Self), Austin, TX Romriell, Alan (Self), Austin, TX Romriell, Patricia Ann (Self), Austin, TX Sanchez, Michael (The Church of Jesus Christ of Latter-day Saints), Austin, TX Sandberg III, Hyrum (Self), Austin, TX Scott, Russell (Self/LDS Church), Austin, TX Shackelford, Kelly (Free Market Foundation), Plano, TX Stanley, Beatrice (Self), Austin, TX Stike, Davida (Self), Pflugerville, TX Storm, Eric (Self), Austin, TX Storm, Karen (Self), Austin, TX Stroud, Bryan (Self), Frisco, TX Stroud, Lindsey (Self), Frisco, TX Stroud, Susan (Self), Frisco, TX Taylor, Kristi (Self), Austin, TX Toler, Phillip (Self), Austin, TX Toler, Sheri (Self), Austin, TX Vanchiere, Charles (The Church of Jesus Christ of Latter-day Saints), Austin, TX VanShaar, Steven (Self), Austin, TX VanShaar, Tamara (Self), Austin, TX Walthall, Robert (Self), Austin, TX Wharton, Rebecca (Self), Buda, TX Wharton, Robert (Self), Buda, TX Whisenant, Nancy (Self), Austin, TX Williams, Mary (Self), Austin, TX Williams, Russell (Self), Austin, TX Williams, Wendy (Self), Austin, TX Wilson, Mary Anne (Self), Austin, TX Wilson, Robert (Self), Austin, TX Against: Bier, Marti (Self), Austin, TX Brooks, Peter (Self), Austin, TX Canates, Timotes (Self), Austin, TX Cramer, Pat (Self), Austin, TX DeLong, Andrew (Self), Austin, TX Edeker, Kyra (Self), Austin, TX Fahrenthold, Christina A. (Self), Austin, TX Hallmark, Charles (Self), Austin, TX Harrell, William (ACLU of Texas), Austin, TX Hollar, Julie (Lesbian Gay Rights Lobby of Texas), Austin, TX Isbell, Bradly (Self), Austin, TX Jambor, Elizabeth (LGRL), Austin, TX Jowers, Angela (Self), Austin, TX McArthur, Joan (Self), Austin, TX McKaskle, Randal (Self), Austin, TX Naylor, Bettie (Self), Austin, TX Owens, Lex Dale (Air Ambulance America, Inc.), Austin, TX Peterson, Samantha (Self), Austin, TX Riddering, Hannah (Texas National Organization for Women), Austin, TX Spradling, Scott (Self/LGRL), Austin, TX Wald, Thomas (Self), Austin, TX Zucker, Dr. Charles (Texas Faculty Association), Austin, TX SB 609 FOR: Rash, William (Texas Troopers Union), Austin, TX Registering, but not testifying: For: Crawford, David (Self), Nederland, TX Crawford, Jack (Self), Beaumont, TX Ingersoll, Deborah (Texas State Trooper Association), Austin, TX Lange, James (Texas State Trooper Association), Austin, TX Nelson, Richard (Self), Lumberton, TX Radcliff, Rebecca (Combined Law Enforcement Associations of Texas), Austin, TX Saltzman, Tim (Texas Troopers Union), Austin, TX Wilkison, Charley (Combined Law Enforcement Associations of Texas), Austin, TX SB 886 FOR: Albus, Gary (Texas DPS), Lubbock, TX AGAINST: Findeisen, Les (Texas Motor Transportation Association), Austin, TX ON: Fernando, Emmanuel (Texas Transportation Institute), Bryan, TX Registering, but not testifying: For: Igo, Shanna (Texas Municipal League), Austin, TX On: Cox, Randy (TxDOT), Austin, TX SB 887 FOR: Albus, Gary (Texas DPS), Lubbock, TX AGAINST: Findeisen, Les (Texas Motor Transportation Association), Austin, TX ON: Fernando, Emmanuel (Texas Transportation Institute), Bryan, TX Registering, but not testifying: For: Igo, Shanna (Texas Municipal League), Austin, TX SB 988 FOR: Morrison, Kent (Keller ISD), Keller, TX Oppenheim, Thomas (Morgan Keegan & Co.), Dallas, TX SB 1020 Registering, but not testifying: For: Radcliff, Rebecca (Combined Law Enforcement Associations of Texas), Austin, TX SB 1109 ON: Mallini, Bill (TxDOT), Galveston, TX Nichols, Robert (TxDOT), Austin, TX SB 1124 Registering, but not testifying: Against: Ingersoll, Deborah (Texas State Troopers Association), Austin, TX Lange, James (Texas State Troopers Association), Austin, TX SB 1146 Registering, but not testifying: For: Sickels, Linda (Trinity Ind., Inc.), Dallas, TX On: Biles, Susan (Texas State Comptroller), Austin, TX SB 1211 Registering, but not testifying: For: Clark, Mark (Houston Police Officers' Union/Texas Union of Police & Sheriffs), Houston, TX Ingersoll, Deborah (Texas State Troopers Association), Austin, TX Lange, James (Texas State Troopers Association), Austin, TX Lawrence, Kevin F. (Texas Municipal Police Association), Austin, TX Radcliff, Rebecca (Combined Law Enforcement Association of Texas), Austin, TX Zacharias, Larry (Texas Police Chief's Association), Austin, TX SB 1309 FOR: Carr, Cathie (Escapees RV Club), Livingston, TX ON: Hanshaw, Elizabeth (Secretary of State), Austin, TX Registering, but not testifying: For: Carr, Robert (Escapees Inc.), Livingston, TX SB 1311 FOR: Carr, Cathie (Escapees RV Club), Livingston, TX Registering, but not testifying: For: Carr, Robert (Escapees Inc.), Livingston, TX On: Hanshaw, Elizabeth (Secretary of State), Austin, TX SB 1519 ON: Williams, Cathy J. (TxDOT), Austin, TX Winters, Clint (Comptroller of Public Accounts), Austin, TX Registering, but not testifying: For: Gadbois, Glenn (Texas Citizen Fund), Austin, TX


Windows will save up to five notifications if this setting is enabled and automatically cycle between them. Notifications will be saved in a FIFO (first in, first out) queue according to arrival time. The display order and animation time for notifications cannot be controlled by applications. A new notification is always displayed immediately.
Up to five push notifications will be saved for offline users and delivered when the user comes online. These undelivered notifications also conform to the FIFO queue described above and tag logic described below.
Tags (application specified strings) can be used to replace notifications. If the notification queue is enabled, untagged notifications will queue in FIFO order. A tagged notification will replace a queued notification with the same tag. There can only be one notification with the same tag in the queue at a time. Tags which are sent from the cloud are limited to the alpha-numeric character set.
Notification tag (leave empty for TestTag01, maximum of 16 characters)


South cal demographic population mid-Holocene climatic radiocarbon America Holocene archaeological variability tropical climate human Southern data {border-style change px;} #ffffff;} (Fig. . k BP. dates initial model precipitation probability significant BP, null American early period time patterns years (). point record regional continental negative summed Cone Middle local populations southern spatial America. Lowlands Nature Pacific Quaternary Sci. analysis cultural decline demography deviations distributions downturn evidence high proxy regions relative results trends use Amazonia Early Highlands Proc. anomalies broad calibrated changes continent environmental impacts index influenced phase px; statistical trend {font-family ~. k SPDs coast dataset dynamics font-size likely northern periods phases prehistoric regime scale sites transition using -year ./pnas. Acad. BP) Climate International Late Monte Natl P.R. USA calibration central conditions confidence curve degree determinations distribution double; entire following mean mid-Holocene, occurred overall range records second significantly sustained tests variation Andes Arch. Atlantic Brazil Carlo Holocene. M.A.K. Mid-Holocene New Supplementary Tropical analyses areas border-color border-width coeval consistent cultivation data. domestication effects frequency global hypothesis investigate palaeoclimatic permutation plant pre-Columbian present principally prior reference research rolling simulated site solid; structure subsets suggest systems time. {font-style {font-weight – k ./j.jas... ./j.quaint... ./journal.pone. America, Anthropol. Commons Cone. Creative Figure Following In: MAD Pleistocene Radiocarbon Regional Sci approximately associated based bold collection courier; development distributions, driver eastern ecological em; empirical errors expectations experienced exponential generated growth hydroclimatic identified indicate information intensity located loss multiple new note prevailing pt;} reflect regimes responses robust shifts social starting statistically suggests test


Abbotsford C3 Contemporary Art Space 1 St Heliers St. Abbotsford Chapman & Bailey 420 Johnston St, Abbotsford St Heliers Street Gallery Abbotsford Convent Yarra Sculpture Gallery 117 Vere Street Abbotsford
Brunswick Neon Parc II 15 Tinning Street, Brunswick Tinning Street Presents Lot 5/29 Tinning Street, Brunswick
CBD | Southbank Anna Schwartz 185 Flinders Lane, Melbourne Arc One Gallery 45 Flinders Ln, Melbourne ACMI Federation Square, Melbourne ACCA 111 Sturt St, Southbank Blind Side Room 14, Level 7, 37 Swanston Street, Melbourne Buxton Contemporary Cnr Southbank Boulevard & Dodds Street Southbank Cage me a Peacock 37 Swanston St, Melbourne Caves 18/6/37 Swanston St, Melbourne Docklands Art Collective The Arcade, Docklands Edmund Pearce 37 Swanston St, Melbourne First Site Gallery Storey Hall Basement, 344 Swanston Street, Melbourne Flinders Lane Gallery 137 Flinders Lane, Melbourne Forty Five Downstairs 45 Flinders Ln, Melbourne Kings Artist Run 171 King St, Melbourne Magnet Gallery 2/640 Bourke St, Melbourne Murray White Room Sargood Ln, Melbourne NGV | Ian Potter Centre Federation Square, Melbourne NGV | International 180 St Kilda Rd, Melbourne Neon Parc 1/53 Bourke St, Melbourne Nicholas Projects 37 Swanston St, Melbourne No Vacancy Gallery 34-40 Jane Bell Ln, Melbourne Signal Northbank, Flinders Walk, Melbourne Stephen McLaughlan Gallery 8/37 Swanston St, Melbourne Testing Grounds 1 City Rd, Southbank VIC 3006 Tolarno Galleries level 4/104 Exhibition St, Melbourne West Space Level 1/225 Bourke St, Melbourne VIC 3000
Brunswick Backwoods Gallery 25 Easey St, Collingwood Black Cat Gallery 95 Johnston St, Collingwood Bus Projects 25–31 Rokeby St, Collingwood Collingwood Gallery 292 Smith St, Collingwood Fox Galleries 79 Langridge St, Collingwood Lamington Drive 52 Budd St, Collingwood Lon Gallery 21 Easey St, Collingwood Maggies Art Space 178 Johnston St, Collingwood Off the Kerb 66 Johnston St, Collingwood
Fitzroy Australian Print Workshop 210 Gertrude St, Fitzroy BSIDE Gallery 121 Brunswick St, Fitzroy Brunswick St Gallery 322 Brunswick St, Fitzroy Centre of Contemporary Photography 404 George St, Fitzroy Print Maker Gallery 227 Brunswick St, Fitzroy Red Gallery 157 St Georges Rd, North Fitzroy Seventh Gallery 155 Gertrude St, Fitzroy Sutton Gallery 254 Brunswick St, Fitzroy VIC 3065 The Ownership Project 1/110 Johnston St, Fitzroy Red Gallery 157 St Georges Rd, North Fitzroy


12
Remember Your Creator in Your Youth
1 Remember also your Creator in the days of your youth, before the evil days come and the years draw near of which you will say, “I have no pleasure in them”;
2 before the sun and the light and the moon and the stars are darkened and the clouds return after the rain,
3 in the day when the keepers of the house tremble, and the strong men are bent, and the grinders cease because they are few, and those who look through the windows are dimmed,
4 and the doors on the street are shut—when the sound of the grinding is low, and one rises up at the sound of a bird, and all the daughters of song are brought low—
5 they are afraid also of what is high, and terrors are in the way; the almond tree blossoms, the grasshopper drags itself along, and desire fails, because man is going to his eternal home, and the mourners go about the streets—
6 before the silver cord is snapped, or the golden bowl is broken, or the pitcher is shattered at the fountain, or the wheel broken at the cistern,
7 and the dust returns to the earth as it was, and the spirit returns to God who gave it.
8 Vanity of vanities, says the Preacher; all is vanity.
Fear God and Keep His Commandments
9 Besides being wise, the Preacher also taught the people knowledge, weighing and studying and arranging many proverbs with great care.
10 The Preacher sought to find words of delight, and uprightly he wrote words of truth.
11 The words of the wise are like goads, and like nails firmly fixed are the collected sayings; they are given by one Shepherd.
12 My son, beware of anything beyond these. Of making many books there is no end, and much study is a weariness of the flesh.
13 The end of the matter; all has been heard. Fear God and keep his commandments, for this is the whole duty of man.
14 For God will bring every deed into judgment, with every secret thing, whether good or evil.


| Interface and Description |
|---|
| org.quartz.StatefulJob
use DisallowConcurrentExecution and/or PersistJobDataAfterExecution annotations instead.
|
| org.quartz.spi.TimeBroker
TimeBroker is not currently used in the Quartz code base.
|
| Field and Description |
|---|
| org.quartz.impl.StdSchedulerFactory.PROP_DATASOURCE_DRIVER
Replaced with
PoolingConnectionProvider.DB_DRIVER |
| org.quartz.impl.StdSchedulerFactory.PROP_DATASOURCE_MAX_CONNECTIONS
Replaced with
PoolingConnectionProvider.DB_MAX_CONNECTIONS |
| org.quartz.impl.StdSchedulerFactory.PROP_DATASOURCE_PASSWORD
Replaced with
PoolingConnectionProvider.DB_PASSWORD |
| org.quartz.impl.StdSchedulerFactory.PROP_DATASOURCE_URL
Replaced with
PoolingConnectionProvider.DB_URL |
| org.quartz.impl.StdSchedulerFactory.PROP_DATASOURCE_USER
Replaced with
PoolingConnectionProvider.DB_USER |
| org.quartz.impl.StdSchedulerFactory.PROP_DATASOURCE_VALIDATION_QUERY
Replaced with
PoolingConnectionProvider.DB_VALIDATION_QUERY |
| org.quartz.impl.jdbcjobstore.Constants.STATE_MISFIRED
Whether a trigger has misfired is no longer a state, but
rather now identified dynamically by whether the trigger's next fire
time is more than the misfire threshold time in the past.
|
| Method and Description |
|---|
| org.quartz.CronExpression.clone() |
| org.quartz.utils.StringKeyDirtyFlagMap.containsTransientData()
JDBCJobStores no longer prune out transient data. If you
include non-Serializable values in the Map, you will now get an
exception when attempting to store it in a database.
|
| org.quartz.utils.StringKeyDirtyFlagMap.getAllowsTransientData()
JDBCJobStores no longer prune out transient data. If you
include non-Serializable values in the Map, you will now get an
exception when attempting to store it in a database.
|
| org.quartz.utils.StringKeyDirtyFlagMap.removeTransientData()
JDBCJobStores no longer prune out transient data. If you
include non-Serializable values in the Map, you will now get an
exception when attempting to store it in a database.
|
| org.quartz.impl.jdbcjobstore.StdJDBCDelegate.selectNextFireTime(Connection)
Does not account for misfires.
|
| org.quartz.impl.jdbcjobstore.DriverDelegate.selectNextFireTime(Connection)
Does not account for misfires.
|
| org.quartz.impl.jdbcjobstore.StdJDBCDelegate.selectTriggerToAcquire(Connection, long, long)
- This remained for compatibility reason. Use
StdJDBCDelegate.selectTriggerToAcquire(Connection, long, long, int) instead. |
| org.quartz.impl.jdbcjobstore.DriverDelegate.selectTriggerToAcquire(Connection, long, long)
- This remained for compatibility reason. Use
DriverDelegate.selectTriggerToAcquire(Connection, long, long, int) instead. |
| org.quartz.utils.StringKeyDirtyFlagMap.setAllowsTransientData(boolean)
JDBCJobStores no longer prune out transient data. If you
include non-Serializable values in the Map, you will now get an
exception when attempting to store it in a database.
|
Copyright 2001-2019, Terracotta, Inc.


A transformation that groups elements and performs a reduction.
tf.compat.v1.data.experimental.group_by_reducer
tf.compat.v2.data.experimental.group_by_reducer
tf.data.experimental.group_by_reducer( key_func, reducer )
This transformation maps element of a dataset to a key using key_func
and
groups the elements by key. The reducer
is used to process each group; its
init_func
is used to initialize state for each group when it is created, the
reduce_func
is used to update the state every time an element is mapped to
the matching group, and the finalize_func
is used to map the final state to
an output value.
key_func
: A function mapping a nested structure of tensors
(having shapes and types defined by self.output_shapes
and
self.output_types
) to a scalar tf.int64
tensor.reducer
: An instance of Reducer
, which captures the reduction logic using
the init_func
, reduce_func
, and finalize_func
functions.A Dataset
transformation function, which can be passed to
tf.data.Dataset.apply
.


--- layout: post status: publish published: true title: 'Desert Nights: A VS2005 Color Scheme' author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 9 wordpress_url: http://winterdom.com/2007/11/desertnightsavs2005colorscheme date: '2007-11-12 07:17:03 +0000' date_gmt: '2007-11-12 07:17:03 +0000' categories: - VS Color Scheme tags: [] comments: - id: 6 author: Matt Katz author_email<EMAIL_ADDRESS>author_url: http://www.morelightmorelight.com date: '2007-11-13 07:34:40 +0000' date_gmt: '2007-11-13 07:34:40 +0000' content: | Very nice - I use something quite like it. As the creator of Hot or Not for IDE scheme's, http://idehotornot.ning.com I invite you to toss it in the mix for folks to check out. Sure, it's a small number of people who care about IDE color schemes - but you are one of them. - id: 7 author: Tomas Restrepo author_email<EMAIL_ADDRESS>author_url: http://www.winterdom.com/weblog/ date: '2007-11-13 07:46:18 +0000' date_gmt: '2007-11-13 07:46:18 +0000' content: | Matt, Thanks, I'm aware of the site, but to be honest, I find it somewhat uncomfortable, and hate the lack of screenshots of a proper size to illustrate the schemes! - id: 8 author: Picacodigos author_email<EMAIL_ADDRESS>author_url: http://www.picacodigos.com date: '2007-11-13 12:38:04 +0000' date_gmt: '2007-11-13 12:38:04 +0000' content: | I like your IDE, being into darkened color schemes myself. Are you aware of http://www.darksideofvisualstudio.net/ ? - id: 9 author: Tomas Restrepo author_email<EMAIL_ADDRESS>author_url: http://www.winterdom.com/weblog/ date: '2007-11-13 15:25:30 +0000' date_gmt: '2007-11-13 15:25:30 +0000' content: | Picacodigos: Yes, I'm aware of the site, but haven't seen there much else than just the owner's own scheme, which I don't quite like myself :-) It will be interesting too see if it is developed further, though. - id: 10 author: Picacodigos author_email<EMAIL_ADDRESS>author_url: http://www.picacodigos.com date: '2007-11-14 00:27:02 +0000' date_gmt: '2007-11-14 00:27:02 +0000' content: | OK, I've just tried it and I like the color combination (mine was even darker and with more contrast) but the font... Courier New at 15 points? Maybe for a presentation is OK, but for daily work is way too big for me, so I switched it to Monaco at 8, using your colors. I'll try it for a few days. - id: 11 author: Tomas Restrepo author_email<EMAIL_ADDRESS>author_url: http://www.winterdom.com/weblog/ date: '2007-11-14 03:07:43 +0000' date_gmt: '2007-11-14 03:07:43 +0000' content: | Picacodigos: Actually, the font isn't courier new. The one I use is Damien Guard's Envy Code R VS (http://damieng.com/blog/2007/09/25/envy-code-r-update). The reason I use it at 15pt is that I work on a 15.4" laptop screen at 1920x1200, so if I were to use a 10pt font I'd go blind soon ;) - id: 819 author: richard author_email<EMAIL_ADDRESS>author_url: http://www.estringsoftware.com date: '2009-05-22 15:43:35 +0000' date_gmt: '2009-05-22 15:43:35 +0000' content: thanks!! love it. Good for wpf too. - id: 881 author: Chen author_email<EMAIL_ADDRESS>author_url: '' date: '2009-06-11 13:34:18 +0000' date_gmt: '2009-06-11 13:34:18 +0000' content: thanks, it's greate! - id: 1064 author: Staskia author_email<EMAIL_ADDRESS>author_url: '' date: '2009-07-31 08:58:38 +0000' date_gmt: '2009-07-31 08:58:38 +0000' content: "Nice colors, but font size for me not acceptible, changing into consolas 10 :) \r\n\r\nHowever thanks man :)" - id: 1312 author: RossC author_email<EMAIL_ADDRESS>author_url: '' date: '2010-02-28 01:58:48 +0000' date_gmt: '2010-02-28 01:58:48 +0000' content: Thanks, great theme. - id: 1640 author: Bhavesh Rayka author_email<EMAIL_ADDRESS>author_url: '' date: '2010-12-23 11:18:20 +0000' date_gmt: '2010-12-23 11:18:20 +0000' content: Your this theame is too good thanks - id: 1681 author: Vinit Mahedia author_email<EMAIL_ADDRESS>author_url: '' date: '2011-03-16 00:47:21 +0000' date_gmt: '2011-03-16 00:47:21 +0000' content: Thank you, I am using this setting file, works great for me :). ---
This is my latest Visual Studio 2005 Color Scheme: Desert Nights. This one features a dark background that isn't quite black (it has a slight hint towards brownish/greenish), and colors that stand from the background but without being too bright (most of them, at least).
Code:
XML:
I've been using this one for the past three or four weeks and I'm liking it quite a bit so far, and it is certainly different from the ones I've made before. Download.
Update: Download Visual Studio 2008 version here.


Let ABC and DBC be equal triangles which are on the same base BC and on the same side of it. Join AD.
I say that AD is parallel to BC.
If not, draw AE through the point A parallel to the straight line BC, and join EC.
Therefore the triangle ABC equals the triangle EBC, for it is on the same base BC with it and in the same parallels.
But ABC equals DBC, therefore DBC also equals EBC, the greater equals the less, which is impossible.
Therefore AE is not parallel to BC.
Similarly we can prove that neither is any other straight line except AD, therefore AD is parallel to BC.
Therefore equal triangles which are on the same base and on the same side are also in the same parallels.


LHD gave me the opportunity to learn the skills needed to host a hackathon in a low-risk, guided way. MLH helped me through marketing, logistics, food, and more. The fundamental skills I learned from LHD were crucial for the success of my first large-scale hackathon, VandyHacks.


Dear {name},
Thank you for your pledge to MAYDAY.US. We are grateful for the support to make it possible for us to win back our democracy.
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P.S. Here's another really simple way to help -- just share the suggested text below with your Facebook and Twitter following:
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[Link] to Technical Disclosure Commons
[PDF] of the document
Often, fonts used in online resources such as websites are downloaded from a server to a local device used for browsing the resource. While typical Latin fonts are relatively small, such as on the order of hundreds of kilobytes, some Latin fonts and, more typically, non-Latin, e.g. Chinese, Japanese, Korean, etc., fonts can be much larger, such as on the order of tens of megabytes. Distributing these fonts in their entirety can result in a slow user experience, and so what is needed is a method for faster distribution of these web fonts.
Generally, the present disclosure is directed to serving font files in topical subsets. In particular, in some implementations, the systems and methods of the present disclosure can include or otherwise leverage one or more machine-learned models to predict topic labels of characters in a font based on a corpus of characters or glyphs.
Noto Sans SC Sliced (Chinese Simplified) is now publicly accessible on Early Access!
This font is the sliced version of Noto Sans SC , using the topic model + genetic algorithm approach describe here. It serves all 44,683 characters of this font, while Noto Sans SC only serves a subset of 8105 characters .
.@Google is using #MachineLearning to optimize Chinese, Japanese & Korean web fonts - so they load faster than ever: https://t.co/HKYJMcc1iG pic.twitter.com/KKlysaSRix
— Google Fonts (@googlefonts) August 22, 2017
🇨🇳 New year—new, faster fonts! Announcing support for both Simplified and Traditional Chinese scripts. Learn more: https://t.co/B37jIlFDfp pic.twitter.com/vKSzUKf6Y4
— Google Fonts (@googlefonts) February 5, 2019
Japanese web fonts now load faster than ever! We just added 6 new kanji fonts using our ⚡⚡⚡ fast delivery system → Check ‘em out in our catalog, https://t.co/6PAeAIrnXo pic.twitter.com/jlH58JSesC
— Google Fonts (@googlefonts) August 27, 2018
Did you know that Google Fonts now supports Korean, with 23 choices? Learn the technical details that made this possible on the Google Developers blog 👉 https://t.co/4Xg6nOyOK2 pic.twitter.com/mpC0QMUf1L
— Google Fonts (@googlefonts) April 4, 2018


A second year journalism student who sheds the light on the unnoticed charm of Sheffield
Hey! I'm a third year journalism student very much into documentaries, art and music! Welcome to our site :)
Hi! I'm a beauty-loving Molecular Biology student, on a constant hunt for delicious food and vintage gems.
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{% include head.html %}
XPLUSZ | BLOG
SHARING
ACTIVITY
{% include header.html %}
X
PLUS
Z
{
CRAFTING:
CUSTOM
SOFTWARE;
}
{{ content }}
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Evening 10 Series 2017 Event 8
| Sul 3 |
30 May 17 |
|
10 |
miles |
| Name |
Position |
Road bike |
Actual Time |
Avg. mph |
| |
|
|
|
|
| Josh van
Nierop |
1 |
|
00:24:05 |
24.91 |
| Matt
Crabtree |
2 |
|
00:24:23 |
24.61 |
| Jonathan
Durnin |
3 |
|
00:24:30 |
24.49 |
| Lawrence
Cox |
4 |
|
00:24:57 |
24.05 |
| Jim
Lowbridge |
5 |
|
00:25:25 |
23.61 |
| Adrian
Killworth |
6 |
|
00:26:01 |
23.06 |
| Bill
Barrie |
7 |
|
00:26:07 |
22.97 |
| Linda
Hubbard |
8 |
|
00:26:21 |
22.77 |
| Roger
Kockelbergh |
9 |
|
00:26:26 |
22.70 |
| Dan High |
10 |
|
00:26:33 |
22.60 |
| Mitchell
James |
11 |
|
00:26:50 |
22.36 |
| Simon
Ward |
12 |
|
00:27:16 |
22.00 |
| Grant
Warwick |
13 |
|
00:27:49 |
21.57 |
| Matthew
Vallins |
14 |
1 |
00:28:15 |
21.24 |
| Mark
McCarthy |
15 |
2 |
00:28:27 |
21.09 |
| Mike
Ives |
16 |
3 |
00:28:42 |
20.91 |
| Vic
Barnett |
17 |
4 |
00:28:47 |
20.85 |
| Jade
Mobbs |
18 |
|
00:29:00 |
20.69 |
| David
Bayliss |
19 |
5 |
00:30:00 |
20.00 |
| Charlie
Simpson |
20 |
|
00:30:06 |
19.93 |
| Tom
Evans |
21 |
|
00:30:44 |
19.52 |
| Lorna
Marlow |
22 |
|
00:32:14 |
18.61 |
| Andrew
Weatherby |
23 |
6 |
00:32:54 |
18.24 |
|
|
|
|
|


{% extends "error.html" %} {% block error-message %}
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