Well-designed banking system, investment, spending and consumption play a direct role in supporting and driving lending and economic growth. The economic growth affects banking sector liquidity, which in return affect the investment, spending and consumption. Liquidity is a measure of the ability and ease with which assets can be converted to cash.
During the last financial crisis which supposed to be caused by low liquidity instruments ( bonds, housing and financial assets ), the quantitative easing process was used to replace low liquidity instruments with high liquidity cash reserves. These new created cash reserves are considered as bank reserves. These bank reserves are a commercial banks' holdings of deposits in accounts with a central bank.
Under the fractional-reserve banking system, these new created cash reserves can be used as a credit easing, the commercial banks can use part of them as reserve requirements for lending to active agents in the economy and earn interest on the rest of these reserves(excess). The term fractional reserve refers to the fraction of deposits held in bank reserves. For example, if a bank has
to lend $500 million to an investor/household/corporation, it must hold $50 million as reserve requirement in the central bank account ( 10% as in American Federal Reserve). The investor/household/corporation's bank reiterate the same process again for new credit using the deposited money, it must hold $50 million as reserve requirement and lend $450 million to a second investor. This multiplier effect at the end, will turn $500 million to $5 billion as new created money in the banking system.
The created bank reserves used to create credits via the fractional-reserve banking system end up in the central bank's balance sheet in the form of bonds or assets. The central bank used its balance sheet as the primary tool for enhancing financial stability, by "turning" low liquidity assets to high liquidity assets. How?
These new credits to active agents in the economy, if any, will foster investment, spending and consumption to end recession and restart an economic growth. These new credits can be considered as a money supply process and are melted into money aggregates, M0, M1, M2.
The quantitative easing process created only cash reserves. If credits are conducted then money is supplied into the banking system using the principal of the fractional-reserve banking system. If no credit, no money is created into the banking system,
an earning interest on the excess reserves is conducted.
Question
This unconventional monetary policy led to this simple question:
What is the impact of this quantitative easing on stock market and residential prices?
This essay investigates the dynamic and long-run relationships between this unconventional quantitative easing monetary policy and asset prices in US using weekly data from 2007 to now. Approaches based on formulating Granger causality test using vector autoregression (VAR) are used to identify the long-run relationships and directions of causality between asset prices and monetary variables, Pooled Visualization using
Federal Reserve Economic Data | FRED | St. Louis Fed :
Wilshire 5000 Total Market Full Cap Index (WILL5000INDFC)
S&P/Case-Shiller U.S. National Home Price Index (CSUSHPINSA)
10-Year Treasury Constant Maturity Rate (WGS10YR)
U.S. Treasury securities held by the Federal Reserve: All Maturities (TREAST)
M2 Money Stock (M2)
Machine Learning Assessment
Causality Analysis
Wilshire 5000 Total Market Full Cap Index (WILL5000INDFC)
M2 Money Stock (M2) is mainly related to the Wilshire 5000 Total Market Full Cap Index (WILL5000INDFC) and S&P/Case-Shiller U.S. National Home Price Index (CSUSHPINSA) dynamics.
10-Year Treasury Constant Maturity Rate (WGS10YR) is mainly related to the dynamics of the Wilshire 5000 Total Market Full Cap Index (WILL5000INDFC). The investors are more confident with the availability of the cheap money supply to buy more stocks, more demand for stocks.


HTML SELECT
element with angular data-binding.
ngOptions
Optionally ngOptions
attribute can be used to dynamically generate a list of <option>
elements for a <select>
element using an array or an object obtained by evaluating the
ngOptions
expression.
˝˝
When an item in the select menu is select, the value of array element or object property
represented by the selected option will be bound to the model identified by the ngModel
directive of the parent select element.
Optionally, a single hard-coded <option>
element, with the value set to an empty string, can
be nested into the <select>
element. This element will then represent null
or "not selected"
option. See example below for demonstration.
Note: ngOptions
provides iterator facility for <option>
element which should be used instead
of ngRepeat
when you want the
select
model to be bound to a non-string value. This is because an option element can currently
be bound to string values only.
<select name="{string}" [required] [ngOptions="{comprehension_expression}"]> </select>
name – {string} –
assignable expression to data-bind to.
required(optional) – {string=} –
The control is considered valid only if value is entered.
ngOptions(optional) – {comprehension_expression=} –
in one of the following forms:
label
for
value
in
array
select
as
label
for
value
in
array
label
group by
group
for
value
in
array
select
as
label
group by
group
for
value
in
array
label
for (
key
,
value
) in
object
select
as
label
for (
key
,
value
) in
object
label
group by
group
for (
key
,
value
) in
object
select
as
label
group by
group
for
(
key
,
value
) in
object
Where:
array
/ object
: an expression which evaluates to an array / object to iterate over.value
: local variable which will refer to each item in the array
or each property value
of object
during iteration.key
: local variable which will refer to a property name in object
during iteration.label
: The result of this expression will be the label for <option>
element. The
expression
will most likely refer to the value
variable (e.g. value.propertyName
).select
: The result of this expression will be bound to the model of the parent <select>
element. If not specified, select
expression will default to value
.group
: The result of this expression will be used to group options using the <optgroup>
DOM element.

 Name: <input ng-model="color.name"> [X]

 [add]

 Color (null not allowed): <select ng-model="color" ng-options="c.name for c in colors"></select>
 Color (null allowed):  <select ng-model="color" ng-options="c.name for c in colors"> <option value="">-- chose color --</option> </select>
 Color grouped by shade: <select ng-model="color" ng-options="c.name group by c.shade for c in colors"> </select>
 Select bogus.

 Currently selected: {{ {selected_color:color} }}

it('should check ng-options', function() { expect(binding('{selected_color:color}')).toMatch('red'); select('color').option('0'); expect(binding('{selected_color:color}')).toMatch('black'); using('.nullable').select('color').option(''); expect(binding('{selected_color:color}')).toMatch('null'); });


Opens an existing PDF document.
Example:
$doc = ax_open_pdf_file("templates/template1.pdf"); // ... add elements to pages ax_save_pdf_file("result/dingo.pdf", $doc);
Saves a document to a PDF file.
Example:
$doc = ax_open_pdf_file("templates/template1.pdf"); // ... add elements to pages ax_save_pdf_file("result/dingo.pdf", $doc);
Output a PDF document to the browser. This function works like ax_save_pdf_file(), except the contents are echoed instead of saved.
Call ax_generate_pdf_contents() if you want the PDF contents returned as a string.
Example:
header("Content-type: application/pdf"); $doc = ax_open_pdf_file("templates/template1.pdf"); // ... add elements to pages ax_output_pdf_file($doc);
Creates an empty document.
Example:
$doc = ax_create_document();
Creates a new page with the specified dimensions. $width and $height are in inches.
To add a page to a document, insert the object into AxDocument::$pages, an array.
Example:
$page = ax_create_page(); // ... add elements to page $doc->pages[] = $page;
Creates a rectangular region at the given coordinates. $left, $bottom, $right, $top are in inches.
PDF uses the normal Cartesian coordinates. A larger number means higher up, so $bottom should always be smaller than $top.
Regions are used to lay out text on a page. The ax_lay_out_text() function requires one as an argument.
Example:
$region = ax_create_rectangular_region(1, 1, 7.5, 10); $lines = ax_lay_out_text($text, $region, $style);
Creates a region consisting of a number of columns. $left, $bottom, $right, $top are in inches. They specify the boundary of the region. $columns is the number of columns desired. $gutter specifies the amount of space between each column. It is also in inches.
Example:
$region = ax_create_multicolumn_region(1, 1, 7.5, 10, 2, 0.5); $lines = ax_lay_out_text($text, $region, $style);
For more complex text layout, you can manually create an AxRegion object and set its $rectangles property. Coordinates of rectangles are stored in four-element numeric arrays, as points (1/72 of an inch).
Add an element to a page. $page should be an AxPage object. $element can be either AxText, AxImage, AxGraphicBox, or AxGraphicLine.
Calling this function is equivalent to appending to AxPage::$element directly.
The return value is always 1--the number of elements added.
Example:
$image = ax_load_jpeg_file("dingo.jpg", 1, 1); ax_add_page_element($page, $image);
Recursively add elements contained in an array to a page. This function is primarily used to add AxText objects created by ax_lay_out_text(), which return them in a array of arrays.
The return value is the number of elements added.
Example:
$lines = ax_lay_out_text($text, $region, $style); ax_add_page_elements($page, $lines);
Creates an AxImage object from a JPEG file. $left and $bottom are in iches. They give the position of the lower-left-hand corner of the picture within a page. $dpi is the number of dots per inch. A higher number means a smaller (but sharper) picture in the page. For example, a 360x240 JPEG file is 5" by 3.33" at 72 DPI but only 1.2" by 0.8" at 300 DPI.
To more accurately control the dimension of the picture, adjust AxImage::$width, AxImage::$height. Note that these two properties are in points (1/72 of an inch), as are AxImage::$left and AxImage::$bottom.
Example:
$image = ax_load_jpeg_file("dingo.jpg", 2.5, 2.5, 300); $page->elements[] = $image;
Creates an AxImage object from a GD image. This function works in the same way as ax_load_jpeg_file(), except the JPEG data stream is dynamically generated through the GD library. $quality controls the level of compression employed. A higher number yields a sharper picture, but larger file size.
Currently, transparency information is ignored .
Example:
$res = imagecreatefromgif("dingo.gif"); $image = ax_create_image_from_gd($res, 3.2, 2.2, 72, 50); $page->elements[] = $image;
Returns a font object representing one of the 14 fonts built into the Acrobat reader.
$font_name should be one of the following
| Courier | Helvetica | Times-Roman | Symbol |
| Courier-Bold | Helvetica-Bold | Times-Bold | ZapfDingbats |
| Courier-Oblique | Helvetica-Oblique | Times-Italic | |
| Courier-BoldOblique | Helvetica-BoldOblique | Times-BoldItalic |
The following text encodings are supported:
Example:
$style = new AxTextStyle; $style->font = ax_get_standard_font("Helvetica"); $style->fontSize = 12; $text = ax_create_text($text, 1, 7, $style);
Create a font object from a Type1 font. $afm_path is the path to the font's AFM file, containing its matrics, while $pdf_path points to the PFB, holding the actual glyph data. The font will be embedded into the PDF document.
The following text encodings are supported:
Example:
$style = new AxTextStyle; $style->font = ax_load_type1_font("fonts/Baltica.afm", "fonts/Baltica.pfb", "cp1250"); $style->fontSize = 12; $text = ax_create_text($text, 1, 7, $style);
Create a font object from a TrueType font file. The font will be embedded into the PDF file.
Example:
$style = new AxTextStyle; $style->font = ax_load_truetype_font("fonts/dingo.ttf", "cp1252"); $style->fontSize = 12; $text = ax_create_text($text, 1, 7, $style);
Create a text object a given position on the page.
$x and $y are in iches, measured from the left-side and bottom of the page respectively. Flags set in $options control where the text object will be placed relative to this coordinate:
| AX_LEFT_JUSTIFY | Position object to the right of $x |
| AX_CENTER_JUSTIFY | Center object horizontally at $x |
| AX_RIGHT_JUSTIFY | Position object to the left of $x |
| AX_BOTTOM_ALIGN | Position object above $y |
| AX_CENTER_ALIGN | Center object vertically at $y |
| AX_TOP_ALIGN | Position object below $y |
$style defines the appear of the text. It should be an AxTextStyle object, which has the following properties
| $font | A font object created by ax_get_standard_font(), ax_load_type1_font(), or ax_load_truetype_font() Default = Helvetica, WinAnsiEncoding |
| $fontSize | Size of the text in points. Default = 12 |
| $lineSpacing | Controls the spacing between lines. The height of a line is given by lineSpacing * fontSize. A line spacing of 1 means a line would be exactly 12 points below the previous line if the font size is 12, while a spacing of 1.25 would put it 15 points below. This property is ignored by ax_create_text(), as no word-wrapping is performed. Default = 1 |
| $color | Color of the text. An integer indicates a RGB triplet, while a floating point indicates a grayscale level (0.0 = black, 1.0 = white). Default = black |
| $decorations | Specifies underline or strike-through. Possible values are: AX_UNDERLINE, AX_DOUBLE_UNDERLINE, and AX_LINE_THROUGH. Default = 0 |
| $transform | Specifies superscript or subscript. Possible values are AX_NORMAL, AX_SUPERSCRIPT, and AX_SUBSCRIPT. Default = AX_NORMAL |
| $wordSpacing | Amount of extra space between words. A value of 0.5 means an extra 6 points are added if the font size is 12. Default = 0 |
| $characterSpacing | Amount of extra space between characters. A value of 0.25 means an extra 3 points are added if the font size is 12. Default = 0 |
A text object can only contain a line of text in a single style. For multiline text or text with mixed style, use ax_lay_out_text().
Example:
$style = new AxTextStyle; $style->font = ax_get_standard_font("Helvetica"); $style->fontSize = 28; $text_obj = ax_create_text("Hello world", 1, 1, $style, AX_CENTER_JUSTIFY | AX_CENTER_ALIGN); ax_add_page_element($page, $text_obj);
Lay out text in the specified region on the page, creating multiple text objects. Words are added one at a time, wrapping to the beginning of the line as necessary, until space is no longer available.
$region is a AxRegion object from ax_create_rectangular_region() or ax_create_multicolumn_region().
$style can either be an AxTextStyle object or an associative array holding multiple styles. In the latter case, $text is treated as marked-up text. The name of a marked-up tag is used to look up a style in the associative array. When a piece of text is within multiple tags, the tag names are concatenated with a period (.). For text outside of any tag, the zeroth style is used. See ax_create_text() for information about the AxTextStyle object.
Flags in $options control how the text alignment and justification:
| AX_LEFT_JUSTIFY | Align text to the left (default) |
| AX_CENTER_JUSTIFY | Center text |
| AX_RIGHT_JUSTIFY | Align text to the right |
| AX_FULL_JUSTIFY | Expand line and character spacing as necessary to use up available width. |
| AX_BOTTOM_ALIGN | When a line contains text with different font sizes, align the smaller text with the baseline (default) |
| AX_CENTER_ALIGN | When a line contains text with different font sizes, center the smaller text vertically |
| AX_TOP_ALIGN | When a line contains text with different font sizes, align the smaller text at the top of the line |
By default, the function returns an array of arrays, each of which holds the text objects in a given line (more than one if the text style changes). If the AX_RETURN_LEFTOVER flag is set in $options, then the function returns an array with two elements, with the first element holding the text objects created, and the second element holding the text that didn't fit in the region.
Use ax_add_page_elements() to add the newly created text objects to a page.
Example 1
// a simple paragraph of text $text = "Hello world ... "; $region = ax_create_rectangular_region(1, 1, 7.5, 10); $style = new AxTextStyle; $style->font = ax_get_standard_font("Times-Roman"); $style->fontSize = 12; $style->lineSpacing = 1.25; $lines = ax_lay_out_text($text, $region, $style, AX_FULL_JUSTIFY); ax_add_page_elements($page, $lines);
Example 2
// marked-up text $text = "This is a test and this is only a test ... "; $region = ax_create_rectangular_region(1, 1, 7.5, 10); $style0 = new AxTextStyle; $style0->font = ax_get_standard_font("Times-Roman"); $style0->fontSize = 10; $style0->lineSpacing = 1.25; $style_b = new AxTextStyle; $style_b->font = ax_get_standard_font("Times-Bold"); $style_i = new AxTextStyle; $style_i->font = ax_get_standard_font("Times-Italic"); $style_bi = new AxTextStyle; $style_bi = ax_get_standard_font("Times-BoldItalic"); $style_array = array( $style0, 'b' => $style_b, 'i' => $style_i, 'b.i' => $style_bi, 'i.b' => $style_bi ); list($lines, $text) = ax_lay_out_text($text, $region, $style_array, AX_FULL_JUSTIFY | AX_RETURN_LEFTOVER); $page = ax_create_page(); ax_add_page_elements($page, $lines);
Example:
Example:
Example:
Print the name of each form field in the document.
Example:
Overlay a quarter-inch grid on each page of a document.
Example:
Generates a PDF file, returning the contents in a string.
Create an AxDocument object from a PDF file stored in a string.


mgmt/tm/sys/logConfig/publisher/destinations
This object has the following members.
Copyright © 2015 F5 Networks. All Rights Reserved.


Next: Basics of the algorithm
Up: The Deblending Algorithm
Previous: The Deblending Algorithm
For the study of QSO host galaxies, 2D analytic modelling of broad-band photometric observations with dedicated software packages, such as GALFIT (Peng et al., 2002; Peng et al., 2010) or GIM2D (Simard et al., 2002), has enabled us to properly deblend the QSO and host galaxy emission to infer their properties independently. However, spectroscopic observation are required to gain further insight into the properties and distribution of the ISM, dust content, kinematics, element abundances, etc. Techniques to deblend the QSO and host galaxy contribution in longslit spectra have already been developed (Letawe et al., 2007; Jahnke et al., 2007), but longslit spectroscopy can only cover a certain part of the host galaxy. In order to get a more complete picture, integral field units (IFUs) offer exciting new perspectives but also require the development of new techniques to cope with the data.
Bernd Husemann
2011-04-07


###Exercise 1 - Basic, pinging a network
![External Communication Path](images/03-Exercise-1.png)
### Creating a top-level Actor
val networkPingCoordinator =
system.actorOf(
Props(new PingResponseCoordinator),
"networkPingCoordinator"
)
A good practice is to defined it on actor's companion object
object PingResponseCoordinator {
def props(): Props = Props(new PingResponseCoordinator)
}
val networkPingCoordinator =
system.actorOf(
PingResponseCoordinator.props(),
"networkPingCoordinator"
)
### Creating a child Actor
We create a child actor by using an actor's context instead.
The ***PingServer*** and ***PingMaster*** actors are children of ***PingResponseCoordinator***
class PingResponseCoordinator extends Actor with ActorLogging {
val pingServer =
context.actorOf(PingServer.props(), "pingServer")
val pingMaster =
context.actorOf(PingMaster.props(pingServer), "pingMaster")
}
### Sending a message
A message is sent using the ! operator,
better known as the `tell` operator.
// NetworkPingApp.createPinger method
import PingResponseCoordinator._
def createPinger(pingerCount:Int, pingCount:Int, pingInterval:Int) = {
for ( _ <- 1 to pingerCount)
networkPingCoordinator ! CreatePinger(pingCount, pingInterval)
}
Basically, we tell the ping coordinator to create Pinger actors and we don't wait for a response (fire-and-forget).
### Sending to `self`
Each actor has a reference to himself that can be accessed via the `self` field*.
/** The 'self' field holds the ActorRef for this actor. */
implicit final val self: ActorRef
def receive = {
// send to actor's own mailbox for later processing
case "Hello" => self ! "Hi!"
}
\* Note that this is different then 'this', 'this' refers to the object instance while `self` points to the ***ActorRef*** of the current Actor.
### Sending a message back to `sender`
The `sender()` method gives you the ActorRef of the Actor that sent the current message.
/** The reference sender Actor of the last received message. */
final def sender(): ActorRef
def receive = {
// send a message back to the sender of 'Ola' message
case "Ola" => sender() ! "Hello!"
}
Think about the consequences of the following fragment.
// this will run on a separated thread
def doSomething = Future("Hello!")
def receive = {
case "Ola" => doSomething.map { greetings => sender() ! greetings }
}
### Receiving a message
The actor's receive message is the where messages are handled.
The impl must define which messages the actor is supposed to receive and act upon.
import PingResponseCoordinator._
class PingMaster(pingServer: ActorRef) extends Actor {
override def receive = {
case CreatePinger(pingCount, pingInterval) =>
context.actorOf(Pinger.props(pingServer, pingCount, pingInterval))
}
}
***PingMaster*** receives a ***CreatePinger*** message and create Pinger actors.


DEALLOCVT(1) DEALLOCVT(1) NAME deallocvt - deallocate unused virtual consoles SYNOPSIS deallocvt [N ...] DESCRIPTION The command deallocvt deallocates kernel memory and data structures for all unused virtual consoles. If one or more arguments N ... are given, only the corresponding consoles /dev/ttyN are deallocated. A virtual console is unused if it is not the foreground console, and no process has it open for reading or writing, and no text has been selected on its screen. SEE ALSO chvt(1), openvt(1) 17 Mar 1997 DEALLOCVT(1)


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Executive Summary
Nearly all political action committees, city council members, political consultants, school board districts, government agencies, rely on offline or online surveys to get the insights they need to drive their causes and run quick polls on hot-button issues.
The importance of investigation is self-evident, and a good polling update of investigation must not only reflect the reality, but also help political parties adjust the focus of their campaign activities and achieve more election goals within a limited budget.
Throughout the report, I was employed by the Conservative Party to complete the following tasks:
Based on the entire election environment, analyze the significance of the research report and promote it to a wide range of application scenarios, which can help customers understand the significance of the survey;
Design the questionnaire based on the survey method and put it to the target people in different forms, which will help the survey designer to obtain data;
Data analysis based on the simulation results, which can verify the correctness of the method;
Discuss possible biases and errors in the questionnaire and study how they affect the results of the survey, which will show us the things behind the election;
Display the methods and references used in the entire report in the report.
Introduction
The whole polling status updating is a survey of how I conduct this research to help our client, that is, the Conservative.
Focusing on present1, the Liberals hold a comfortable lead in Atlantic Canada and are ahead of the Conservatives in British Columbia. Two-thirds of the Liberals’ seat advantage nationwide is due to Ontario, where the party has a lead over the Conservatives. The Liberals are also narrowly in front of the Bloc in Quebec. The Conservatives are solidly in first in Alberta and the Prairies. Both the NDP and the Greens have their strongest results in B.C.
When designing the questions and conducting the survey, all the work should be put into certain context. We can use survey to identify supporters for campaign, gather feedback from constituents, organize rallies(or potential rallies), get feedback of present political event, help the winning local election.
Also the code for this post is in the Git Repo: https://github.com/Craymate/Survey-Election
Survey Methodology
When employed by certain political party, writing clear and neutral survey questions is not easy like it seems. There’s more survey methodology to demystify when conducting our research, and the question wording is important too.
Survey Objections
The object of the survey is:
To find out the main supporters and get contact.
To get feedback of different local districts and find their focal point including what they want to keep most and what they want to change most.
To find room to increase votes and help make real-time adjustments to policies.
Sample Frames and Methodology
This survey aims at all civilizations in Canada, so we can get information from all districts and use differences between districts to help political parties make customized decisions.
This survey use online and offline survey methods are used to distribute questionnaires in public places with equal probability and random sampling, which is usually called Simple Random Sampling Without Replacement (SRSWOR)2, and the questionnaires are distributed on the Internet using a neutral platform.
Relevant Data Colletion
In the process of designing the questionnaire, it is necessary to design “irrelevant questions” that are different from the target question to help the data analyst classify the sample, or analyze whether the collected sample is valid. This often includes:
Gender and age (or even occupation), data analysts usually need to ensure that the questionnaire is distributed to all types of people.
Simple daily questions. When questionnaire collectors find that subjects have abnormal answers to such questions, they can usually screen out invalid questionnaires during the result entry process.
Accuracy Estimation
The parameter estimates obtained by sampling are usually biased. Part of this bias comes from the cognitive bias of the subjects on the same question, and part comes from the bias in the questionnaire design. In particular:
The position of the questionnaire designer will affect the design of the questionnaire and lead to deviations;
The order of the questions may induce participants to answer an important question from a certain angle (what the questionnaire designer hopes to get). In this way, using prejudice to induce participants to answer will often get “good” results but cannot affect the votes of neutrals in the long term, because they are also susceptible to other information interference. At the same time, it will also cause the political parties to produce miscalculations on the situation and thus formulate wrong campaign strategies.
Reach Respondents and Dealing with Non-response
In fact, dealing with Non-responses is the same thing as finding the target respondents. The length of the questionnaire (number of questions), the text layout of the question, and even the environment under which the survey is conducted will affect the quality of the questionnaire, which increases the probability of Non-responses and reduces the probability of obtaining target information.
In the Internet space, in order to obtain higher-quality sample information, the usual methods are to select groups or individuals that they trust to conduct surveys, or to issue questionnaires on platforms that they are familiar with daily. But usually this approach has strong prejudices. For example, we know that the in-depth users of different social platforms often have very big differences in group characteristics from the “popular” we want to investigate, and the similarity between relatives and friends is even greater. It violates the principle of medium probability of the interviewee in the entire target group.
To sum up, in order to ensure the unbiased and effective sampling, we choose to put the number of questionnaires based on the proportion of users on different social software, and choose different public places to put questionnaires commensurate with the proportion of people flow, which use the stratified sampling method.
Cost estimation
Regardless of whether it is filled online or offline, we will give participants an incentive ranging from $1-100 (the higher the bonus, the lower the probability of obtaining), and the dairy products of brand A (virtual brand) or B Daily cleaning appliances of the brand (virtual brand) are given as incentives to raise sponsorship as the funding for this survey. After conversion, it can be considered that there is no actual net expenditure in this survey.
Privacy Protection
Sometimes researchers are confused about how to determine what information is private. Subject’s privacy protection is an important means and ethical requirement for obtaining target information, and behaviors that respect privacy often bring more votes and favors to political parties (except for individuals who advocate that the government should obtain more citizens’ information).
Survey Design
Motivation
Our client, the Conservative, is left behind the election polling. After the selection of our new leader, we got a small bump but that is not enough. We need to ensure that the Liberals won’t get majority seats and fight for potential leading.
Based on the above methodology and basic guidelines that need to be paid attention to, I designed the following questionnaire:
Fundamental Question
How did you know about this survey?(Written by Questionnaire Collector)
Are you eligible to vote?(choose Y or N)
Which province are you located?(Use province code and option not to say)
What is your gender?(Open question)
How old are you?(Open question)
Trap question(Validity Checking)
In this question, please choose A(Give choices of A and B)
In this question, please choose F(Give choices of T and F)
Current Hotspot Affairs
Do you think it is necessary to further strengthen or maintain the control of public areas such as bars?(Give choices of Yes and No)
Do you think it is necessary to further postpone the opening of school?(Give choices of Yes and No)
Do you think it is necessary to increase the minimum monthly income limit in CRB?(Give choices of Yes and No)
Score from 1 to 10, how do you think the government should balance the promotion of vaccine trials and safety tests (the larger the value, the more important the safety test is)
On a scale from 1 to 10, how do you think the government should make trade-offs between promoting the resumption of work and production and restricting production to ensure safety (the bigger the representative, the more hopeful it is to resume working)
Political orientation issues
At present, which party would you vote?(Give choices and option not to say)
Which party you think will win the election?(Give choices)
Which party you think will get majority seats?(Give choices)
Simulating
In this part, I generated 10,000 questionnaires after screening, which means that there are no vacancies in the sample data that answered the trap questions correctly. In issues that are not related to political bias, the data generated is as even as possible.
n=1e4
set.seed(1)
dat <- data.frame(
platform=rep(c('Park','Metro','Busstop','Playground','Twitter','Facebook','Reddit','Quora'),125),
eligible=rep('Y',n),
province=c(rep(c('ON','QC','PE','BC','NB','NS','MB','NL','SK','AB','YT','NT','NU'),769),rep('prefer_not_say',3)),
gender=rep(c('M','F'),5000),
age=sample(20:60,10000,replace = T),
trapa=rep('A',1e4),
trapf=rep('F',1e4),
pub_ctrl=sample(c('Y','N'),10000,replace = T,prob = c(0.3,0.7)),
sch_open=sample(c('Y','N'),10000,replace = T,prob = c(0.35,0.65)),
min_inc=sample(c('Y','N'),10000,replace = T,prob = c(0.8,0.2)),
balance1 = as.integer(rnorm(10000,5.5,1)),
balance2 = as.integer(rnorm(10000,5.5,1.2)),
vote = sample(c('LIB','CON','NDP','BQ','GRN','OTH'),10000,replace = T,prob = c(0.364,0.309,0.173,0.067,0.061,0.026)),
win = sample(c('LIB','CON','NDP'),10000,replace = T,prob = c(0.6,0.3,0.1)),
majority = sample(c('LIB','CON'),10000,replace = T,prob = c(0.85,0.15)),
stringsAsFactors = T
)
#write.csv(dat,'sim-result.csv')
and we can get our simulated data frame in an ideal state.
Results
Although the result comes from simulating, we should know what matters is the method of analysis, not the result of a particular survey.
Fundamental Summary
First we can view the basic information of the data set generated by the simulation:
# show structure
str(dat)
## 'data.frame': 10000 obs. of 15 variables:
## $ platform: Factor w/ 8 levels "Busstop","Facebook",..: 4 3 1 5 8 2 7 6 4 3 ...
## $ eligible: Factor w/ 1 level "Y": 1 1 1 1 1 1 1 1 1 1 ...
## $ province: Factor w/ 14 levels "AB","BC","MB",..: 9 12 10 2 4 6 3 5 13 1 ...
## $ gender : Factor w/ 2 levels "F","M": 2 1 2 1 2 1 2 1 2 1 ...
## $ age : int 23 58 20 53 42 33 37 52 40 40 ...
## $ trapa : Factor w/ 1 level "A": 1 1 1 1 1 1 1 1 1 1 ...
## $ trapf : Factor w/ 1 level "F": 1 1 1 1 1 1 1 1 1 1 ...
## $ pub_ctrl: Factor w/ 2 levels "N","Y": 1 1 2 1 1 2 1 1 2 1 ...
## $ sch_open: Factor w/ 2 levels "N","Y": 1 1 2 1 1 1 2 1 2 1 ...
## $ min_inc : Factor w/ 2 levels "N","Y": 2 2 2 2 2 2 2 1 2 2 ...
## $ balance1: int 6 4 3 6 5 6 6 5 4 5 ...
## $ balance2: int 6 4 5 6 4 5 4 5 5 5 ...
## $ vote : Factor w/ 6 levels "BQ","CON","GRN",..: 4 1 4 2 3 4 1 4 4 4 ...
## $ win : Factor w/ 3 levels "CON","LIB","NDP": 2 3 1 2 2 2 2 1 2 2 ...
## $ majority: Factor w/ 2 levels "CON","LIB": 2 2 2 2 1 2 2 2 2 2 ...
# brief summary
summary(dat)
## platform eligible province gender age trapa
## Busstop :1250 Y:10000 AB : 769 F:5000 Min. :20.0 A:10000
## Facebook :1250 BC : 769 M:5000 1st Qu.:30.0
## Metro :1250 MB : 769 Median :40.0
## Park :1250 NB : 769 Mean :39.9
## Playground:1250 NL : 769 3rd Qu.:50.0
## Quora :1250 NS : 769 Max. :60.0
## (Other) :2500 (Other):5386
## trapf pub_ctrl sch_open min_inc balance1 balance2
## F:10000 N:7041 N:6471 N:1934 Min. :1.000 Min. :0.000
## Y:2959 Y:3529 Y:8066 1st Qu.:4.000 1st Qu.:4.000
## Median :5.000 Median :5.000
## Mean :5.008 Mean :4.992
## 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :9.000 Max. :9.000
##
## vote win majority
## BQ : 699 CON:2999 CON:1423
## CON:3059 LIB:6044 LIB:8577
## GRN: 582 NDP: 957
## LIB:3643
## NDP:1757
## OTH: 260
##
Exploratory Analysis
Using the fundamental information of survey results, it’s not intuitive for our clients. So we hope to reflect the exact relationship through quantitative expression, in this section, we are trying to find out if the two numeric balance
answers can influence each other.
# correlation statistics
cor(dat$balance1, dat$balance2)
## [1] 0.001885394
# linear regression
linear.model1 <- lm(balance1 ~ balance2,
data = dat)
summary(linear.model1)
##
## Call:
## lm(formula = balance1 ~ balance2, data = dat)
##
## Residuals:
## Min 1Q Median 3Q Max
## -4.0098 -1.0066 -0.0082 0.9902 3.9934
##
## Coefficients:
## Estimate Std. Error t value Pr(>|t|)
## (Intercept) 5.000329 0.043041 116.176 <2e-16 ***
## balance2 0.001577 0.008363 0.189 0.85
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
##
## Residual standard error: 1.045 on 9998 degrees of freedom
## Multiple R-squared: 3.555e-06, Adjusted R-squared: -9.646e-05
## F-statistic: 0.03554 on 1 and 9998 DF, p-value: 0.8505
From the statistics and also the summary, it’s significant that there’s no linear correlation between this two variables. This result comes from our simulation, so of course nothing will be discovered. But in some circumstances, some kind of linear dependence exists between two numeric variables, and our clients can use such model to develop or modify policies.
Moreover, there are more factor
variables we need to analyze. And what we do next is to test whether the means of the two types of samples are the same.
To be precise, we want to do a hypothesis test, that is, whether people of different genders will make the same level in the first balancing decision (here we are based on the estimation method of statistics in sampling theory, and we believe that the mean can reflect unbiasedly Average) decision-making.
So our original hypothesis is: Different genders have the same level of response to the first type of balanced decision-making. In contrast, the alternative hypothesis is that different genders have different levels of response to the first type of balanced decision-making.
a <- dat$balance1[which(dat$gender=='M')]
b <- dat$balance1[which(dat$gender=='F')]
t.test(a,b)
##
## Welch Two Sample t-test
##
## data: a and b
## t = -0.66977, df = 9995.7, p-value = 0.503
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.05497341 0.02697341
## sample estimates:
## mean of x mean of y
## 5.0012 5.0152
After testing, we found that the two groups of people did have the same decision-making level in the first balanced decision. That is, after testing, according to the statistics and p-value, the mean values of the two numerical variables are the same, so here we accept the null hypothesis and consider that they are different The genders have the same level of response to the first type of balanced decision-making.
Indeed, this result is produced because the result data set is generated by our use of the program, rather than a response to the real situation. But at the same time we need to know that different groups of people, especially groups with large differences in group characteristics, usually have different levels of group responses when facing problems, and political parties (or other customers) need to use this group difference to obtain specific groups. Stable support, and to a greater extent strive for the favor of opposing groups to prevent them from falling to competitors.
Visual analysis method
The intuitive feeling comes from the persuasive chart. Below we tried different methods to try to characterize the result data:
Preparing
# load packages
library(ggplot2)
library(plyr)
library(olsrr)
##
## 载入程辑包：'olsrr'
## The following object is masked from 'package:datasets':
##
## rivers
Bar plot
When we look at the distribution of platform, we can use table
to generate result like this:
table(dat$platform)
##
## Busstop Facebook Metro Park Playground Quora Reddit
## 1250 1250 1250 1250 1250 1250 1250
## Twitter
## 1250
And we are going to visualize it like Figure 1 below:
num <- as.numeric(table(dat$platform))
names <- names(table(dat$platform))
df <- data.frame(num=num,names=names)
ggplot(df, aes(x=names, y=num, fill=names)) +
geom_bar(stat="identity")+theme_minimal() +
ggtitle('Figure 1: Sample Distribution of Platform')
Density Plot
Studying the density distribution of two types of numerical samples can compare the differences between the two types of samples at the same level, and through the method of combination graphs, this comparison is more intuitive:
# calculate mean
mu <- ddply(dat, "gender", summarise, grp.mean=mean(balance1))
# density plot
ggplot(dat, aes(x=balance1, color=gender)) +
geom_density()+
geom_vline(data=mu, aes(xintercept=grp.mean, color=gender),
linetype="dashed")+
ggtitle('Figure 2: Density Plot of the first balance vote between genders')
Since we used simulated data for verification, we can find in Figure 2 that the two genders are the same on the image. But by observing the fineness of the image, it can be found that the density map is indeed an excellent visualization method.
Boxplot
In addition to the density map that can reflect the overall nature, we can also use box plots that can reflect the overall value distribution to depict the performance of different variables or different individuals of the same variable:
Different Variables
If we want to know the difference between the results of two balanced votes, we can use:
df <- data.frame(votes = c(dat$balance1,dat$balance2),
tags = c(rep('V1',5e3),rep('V2',5e3)))
ggplot(df, aes(x=tags, y=votes, fill=tags)) +
geom_boxplot() +
ggtitle('Figure 3: Boxplot Comparison of Two Variables')
The result Figure 3 also reflects the similarity of the two simulation variables, which verifies the effectiveness of the method.
One Variable in Different Groups
If we want to know the difference between the results of two balanced groups, we can use:
ggplot(dat, aes(x=win, y=balance1, fill=win)) +
geom_boxplot() +
ggtitle('Figure 4: Boxplot Comparison of Two Groups in Balance 1')
Same as before, the result Figure 4 also reflects the similarity of the simulation data of different groups.
Regression Plot
Different from the previous drawing, here we use the regression model established before for diagnosis, and use the diagnosis method in the olsrr
package to draw all the diagnostic images together.
ols_plot_diagnostics(linear.model1)
Looking at the figures, you can find that such a regression image can be more useful in real application scenarios.
Discussion
- In this sampling survey and simulation process, are there still errors or biases?
In such a sample survey, any form of prejudice and error are unavoidable. For example: This simulation took an equal amount of samples on each social platform, but in fact, the number of active people on each platform is different and should be distributed in a certain proportion. The same problem also appears in the sampling of public places. Of course, different public places have different numbers of active people.
The information collected does not fully reflect the real situation. For example, due to factors such as incorrect filling or deliberate wrong filling, not all subjects who claim to be eligible to vote have the right to vote. This will also make it difficult to distinguish which samples are indeed valid. We can only obtain more information. Samples and unbiased estimates based on sampling theory to obtain as accurate information as possible.
- In this sampling survey and simulation process, how can we help customers(the Conservative) through the results?
Through the analysis of the results, we can indeed provide customers with a lot of substantive and actionable suggestions. For example, the quantitative methods and hypothesis testing methods used in the “Results” section can determine the source of stable support for customers and the groups that need to be sought. By changing the means of propaganda or the allocation of resources invested in elections, the swing votes of a particular electoral district can be significantly increased. These are specific practical suggestions
In addition, the results of the survey can help customers understand the current situation and obtain more targeted results in further investigations. Even if you don’t dig deeper and use the visualization methods of charts, you can intuitively show the results of the election to your partners, win more support for yourself, and create stronger propaganda capital.
- In this sampling survey and simulation process, what kind of result can be considered good?
In the whole survey results, the authenticity and validity of the results are two very important parts. According to sampling theory, a survey result is considered a good survey only when it is true and credible and contains more information.
First of all, ask yourself a question. Why is it not always a good thing to support the majority of the party stations where customers are in the survey results? How do you prove that your results are credible when your survey results are very different from those done by others?
If you find friends who are close to your own ideas and conduct provocative investigations in a small area, the results will of course be very biased. A good survey should not mislead or influence the concept of the surveyed, let alone select a specific group for the survey, which will run counter to the purpose of the survey. The survey is a non-interference one-to-many exchange. It is a friendly exchange of information under the protection of respect and protection of the privacy of the other party. Only when the surveyed person is not selected outside the scope, the questionnaire should not be designed with inflammatory questions. Only when we don’t restrict the investigation scene can we get closer to the original investigation goal.
Reference
- https://newsinteractives.cbc.ca/elections/poll-tracker/canada/
- Wu & Thompson: Sampling Theory and Practice
- H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016.
- Hadley Wickham (2011). The Split-Apply-Combine Strategy for Data Analysis. Journal of Statistical Software, 40(1), 1-29. URL http://www.jstatsoft.org/v40/i01/.
- Aravind Hebbali (2020). olsrr: Tools for Building OLS Regression Models. R package version 0.5.3. https://CRAN.R-project.org/package=olsrr
Appendices
Survey Link: https://docs.google.com/forms/d/e/1FAIpQLSfySY4VjWC50LSK8f1rAKDc723D3JU2Tkmr_fKuKL7Shlm0Rg/viewform?usp=sf_link
The simulation result is here: https://github.com/Craymate/Survey-Election/blob/main/sim-result.csv


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zana.java
contains small amounts of Java code for tasks
where it's easier to create a reliable, high performance implementation in
Java than in Clojure.
The most common reason is the type-hinting mess in Clojure. The syntax is
inconsistent. Many type hints are ignored. There is support for
double
and long
, but no other primitives.
Another reason is that inheritance is actually the right thing to do sometimes, cersus taking the risk of introducing inconsistencies thru cut-and-paste. @author John Alan McDonald @version 2015-11-27


{% extends "!layout.html" %} {% set css_files = css_files + ["_static/customstyle.css"] %} {# we change the master_doc variable so that links to the index page are to index.html instead of _index.html #} {% set master_doc = "turnipbitindex" %}


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Use several browsers to simulate several users.
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Send a private message to a user.
Webhook Form Variables:
Webhook post includes sender cookies.
Returns json:
[ success (boolean) , details (object) ]
Optional Webhook return details:
Example:
Client Calls:
connection.message("mcarter", { title: "a message", body: "some text" });
Webhook Called With:
{ sender: "some_user", recipient: "mcarter", payload: { title: "a message", body: "some text" } }
Webhook replies:
[ true, { override_payload: { title: "a new title", body: "some text" } } ]
And the following frame is published to the user ‘mcarter’:
{ sender: "some_user", recipient: "mcarter", "payload": { title: "a new title", body: "some text" } }


Man United consider swoop for ex-Man City striker – report
Manchester United are weighing up a move to sign AS Roma striker Edin Dzeko, according to a report in England
by Transfer AgentManchester United are considering a shock swoop to sign former Manchester City striker Edin Dzeko from AS Roma, according to a report in England.
ESPN FC is reporting that Manchester United are weighing up a potential January swoop to sign the 33-year-old from the Serie A giants.
The same article states that Ole Gunnar Solskjaer is eager to add reinforcements to his Red Devils squad in the January transfer window.
According to the same story, the Red Devils boss is eager to add a proven goal-scorer to Manchester United’s ranks to bolster his attack.
ESPN FC go on to add that Dzeko has moved ahead of Mario Mandzukic in Solskjaer’s wish-list due to the Croatian’s lack of football this term.
The report adds that Manchester United have retained a tentative interest in the Juventus forward despite being frozen out in Turin this season.
Manchester United have been left short on forward options in Solskjaer’s squad after Romelu Lukaku was sold to Inter Milan in the summer.
Alexis Sanchez completed a loan move to the San Siro outfit to leave Manchester United, with Marcus Rashford and Anthony Martial as their only proven goal-scorers.
Manchester United are in seventh position in the Premier League table and nine points adrift of fourth-placed Manchester City.


Integrins
A family of transmembrane glycoproteins (MEMBRANE GLYCOPROTEINS) consisting of noncovalent heterodimers. They interact with a wide variety of ligands including EXTRACELLULAR MATRIX PROTEINS; COMPLEMENT, and other cells, while their intracellular domains interact with the CYTOSKELETON. The integrins consist of at least three identified families: the cytoadhesin receptors(RECEPTORS, CYTOADHESIN), the leukocyte adhesion receptors (RECEPTORS, LEUKOCYTE ADHESION), and the VERY LATE ANTIGEN RECEPTORS. Each family contains a common beta-subunit (INTEGRIN BETA CHAINS) combined with one or more distinct alpha-subunits (INTEGRIN ALPHA CHAINS). These receptors participate in cell-matrix and cell-cell adhesion in many physiologically important processes, including embryological development; HEMOSTASIS; THROMBOSIS; WOUND HEALING; immune and nonimmune defense mechanisms; and oncogenic transformation.
(mesh:D016023)
Cross-references
Synonyms
| Synonym |
Reference |
Specificity |
| integrin receptors |
|
Exact
|
| integrin |
|
Exact
|
| integrins |
|
Exact
|
Incoming Relations
Outgoing Relations
None available.


Button Class
React-Component: refined Button.
Copyright (c) 2016 ItsAsbreuk - http://itsasbreuk.nl
New BSD License - http://choosealicense.com/licenses/bsd-3-clause/
Item Index
Methods
Methods
_getDataAttrs
()
private
Extracts the data-*
attributes from props.
Returns:
object all the data-* attributes
_processKeyUp
-
Boolean
-
Boolean
-
Boolean
React render-method --> renderes the Component.
_saveHTML
-
String
Returns a save string
Parameters:
-
String
Objecthtml the text that should be removed from any html-entities
Returns:
String
blur
()
chainable
Blurs the Component.
componentDidMount
()
componentDidMount does some initialization.
componentWillUnmount
()
componentWilUnmount does some cleanup.
focus
-
[transitionTime]
Sets the focus on the Component.
Parameters:
-
[transitionTime]
Number optionaltransition-time to focus the element into the view
handleClick
()
Callback-fn for the onClick-event.
Will invoke this.props.onChange
handleKeyDown
()
Callback-fn for the onKeyDown-event.
handleKeyUp
()
Callback-fn for the onKeyUp-event.
handleMouseDown
()
Callback-fn for the onMouseDown-event.
handleMouseUp
()
Callback-fn for the onMouseUp-event.
press
-
boolean
Callback-fn for the onClick-event.
Will invoke this.props.onChange
Parameters:
-
boolean
Object[directResponse] whether directly call onClick, or wait until the button raises up.
render
()
React render-method --> renderes the Component.
Returns:
ReactComponent
Properties
directResponse
Boolean
Whether the button resonses rapidly (keydown and mousedown). Note: native HTMLButtonElements don't resonse rapidly --> the onClick event happens on mouseUp.
Default: true
showActivated
Boolean
Whether keypress should show active status. (should be set false
for file-uploadbuttons)
Default: true
toggled
Boolean
Whether the button is in a toggle-state. You don;t need to use this directly: use the module ToggleButton instead.


This is a simple temporary page for nullDC :)
Latest |
|
Released 7/11/2007 |
|
Released 10/1/2008, May also fix some glitches |
|
Archived |
|
Released 4/11/2007 |
|
nullDC – beta 1(plain files here) |
Released 1/4/2007 |
Released ?/2007 – Compatible only with beta 1 |
For help visit nullDC forums over @ ngemu!


Draft a Coding Manual¶
Write your coding manual with a stranger in mind. When you revisit your manual years later, you will be a “stranger” to the coding criteria. When new coders open your manual, they will be strangers to the coding criteria. Write it for a stranger. Do not use acronyms or terms known only to members of your lab. Use plain English instead. If you plan to eventually share your videos on Databrary, you may also want to share your Datavyu files and coding manual.
More detailed documentation is better.
For example, if your document contains only information like “o
= object touch” and “b
= body touch,” your coders may not be reliable, the codes may not be replicable, and the researcher who writes up the study may not have sufficient detail about the coding rules.
More detail will help.
For example: “o
= object touch.
This behavior includes only touching detached objects that the child could hold in one or both hands; at least one finger must be in contact with the object for at least 0.5 s.”
And “b
= body touch.
This behavior includes only touches with one or both hands to the other arm, legs, head/face/hair, and torso; at least one finger must be in contact with the body for at least 0.5 s.” It is acceptable to have several paragraphs to define a single code!
As part of the definition of a code, you can specify the optimal speed of viewing for a particular coding pass or code. For example, some behaviors are easier to see by jogging frame by frame. Other behaviors are easier to see at 0.5x normal speed or at normal speed. Sections of video (conditions/trials) can usually be coded at 2x normal speed if they are well marked with a high-contrast prompt.
Outline the coding passes in the manual. List which scripts to run and when to run them to insert cells, merge cells, export data, and so on.
Consider your coding manual as a “living document.” Even if you do not revise the codes, you are likely to make changes to the coding manual by adding detail or fixing confusing language. Keep a record of who made the changes and what date they were implemented.
Video Example¶
This video displays one example of a Coding Manual that outlines the different codes for the pass called “trial.” It contains detailed definitions for each code so future coders can easily pick up the coding pass. It also contains pictures to accompany the written descriptions.


Returns true
if the object has no value, otherwise returns false
.
Returns true
if the object has a value, otherwise returns false
.
Executes the func
with the value if the object has a value,
and returns the return value of the func
.
If the object has no value, just returns the value which is null or undefined.
Executes the func
with the value if the object has no value,
otherwise do nothing.
Executes the func
with the value if the object has a value,
otherwise do nothing.
Executes the func
with the value if the object has a value,
otherwise executes elseFunc.
Executes the func
with the value if the object has a value,
and returns new Optional object with the return value of the func
.
If the object has no value, just returns new Optional object without applying the func
.
Generated using TypeDoc
An object that represents nullable(undefinable) value.
const opt1 = new Optional<string>(hello); const opt2 = new Optional();


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Install & install the latest stable or release candidate version of
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- /installation
- /installation/
- /features
- /features/
- /install/
---
On your desktop, mobile or server Deploys to cloud servers under your control or on-prem Choose the easiest way to install, set up and manage Rocket.Chat: it requires no technical knowledge and you can start a trial in a couple of minutes, no credit card required.Install Rocket.Chat
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jQuery is a fast, small, and feature-rich JavaScript library. It makes things like HTML document traversal and manipulation, event handling, animation, and Ajax much simpler with an easy-to-use API that works across a multitude of browsers. With a combination of versatility and extensibility, jQuery has changed the way that millions of people write JavaScript.
Already know HTML, CSS and JavaScript? Read the guide and start building things in no time!
Simple, minimal core with an incrementally adoptable stack that can handle apps of any scale.
jQuery is a fast, small, and feature-rich JavaScript library. It makes things like HTML document traversal and manipulation, event handling, animation, and Ajax much simpler with an easy-to-use API that works across a multitude of browsers. With a combination of versatility and extensibility, jQuery has changed the way that millions of people write JavaScript.
Already know HTML, CSS and JavaScript? Read the guide and start building things in no time!
Simple, minimal core with an incrementally adoptable stack that can handle apps of any scale.
jQuery is a fast, small, and feature-rich JavaScript library. It makes things like HTML document traversal and manipulation, event handling, animation, and Ajax much simpler with an easy-to-use API that works across a multitude of browsers. With a combination of versatility and extensibility, jQuery has changed the way that millions of people write JavaScript.
Already know HTML, CSS and JavaScript? Read the guide and start building things in no time!
Simple, minimal core with an incrementally adoptable stack that can handle apps of any scale.
jQuery is a fast, small, and feature-rich JavaScript library. It makes things like HTML document traversal and manipulation, event handling, animation, and Ajax much simpler with an easy-to-use API that works across a multitude of browsers. With a combination of versatility and extensibility, jQuery has changed the way that millions of people write JavaScript.
Already know HTML, CSS and JavaScript? Read the guide and start building things in no time!
Simple, minimal core with an incrementally adoptable stack that can handle apps of any scale.


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Select your whatsapp chat log to find out when you and your friends are the most and least active!


Total Time:32 min
Prep:
25 min
Cook:
7 min
Difficulty:Easy
Course:Main Dish
Ingredients
*3 lemons, zested and juiced
*2 sprigs fresh oregano, leaves finely chopped
*A handful flat-leaf parsley, finely chopped
*3 cloves garlic, grated or minced
*1/4 cup extra-virgin olive oil
*2 pounds halibut or mahi mahi
*Salt and pepper
*12 (5 to 6-inch) flour tortillas
*1 heart romaine, chopped
*1/2 red onion, thinly sliced
*8 pepperoncini peppers
*2 roasted red peppers, patted dry
*1 cup Greek yogurt
*1/2 teaspoon ground cumin
*1/4 cucumber, peeled and grated
Instruction
Heat grill pan over medium high heat or preheat outdoor grill.
Combine the juice and zest of 2 lemons, oregano, parsley, 2 cloves garlic, olive oil and add fish, turn to coat and season with salt and pepper.
Wrap tortillas in foil and place in warm oven or directly on grill to soften and warm through.
Shred romaine lettuce and combine with sliced onions.
Slice hot peppers and reserve.
Combine red peppers and yogurt in food processor. Add cumin, 1 clove garlic, zest and juice of remaining 1lemon, cucumber and process until smooth, transfer to a bowl.
Grill fish 6 to 7 minutes until firm and cooked through then cut into cubes.
Serve fish to wrap in soft tortillas with lettuce, onions, hot peppers and sauce.


This archive contains the letters of Rizal on his First travel to Spain during 1882 - 1885. Which gives us insights on his struggles and experiences while on the foreign land. This letters also shows his great achievements and passionate love for his family and motherland.
A brief insight on what happened to Dr. Jose Rizal during his times studying abroad.
A collection of significant images related to the time period (1882-1885) discussed.
An archive of the letters that Dr. Jose Rizal wrote, which gives us an idea of what happened to him during those times.


| trans_format {scales} | R Documentation |
trans_format(trans, format = scientific_format())
trans |
transformation to apply |
format |
additional formatter to apply after transformation |
a function with single parameter x, a numeric vector, that returns a character vector of list of expressions
tf <- trans_format("log10", scientific_format()) tf(10 ^ 1:6)


{hotelname} Housekeeping -- Welcome {username}
Okay. If you see 'Ban has been added!' at the top, then it has completed successfully.
Powered by GrapeASE by Grapefruit - Design by Grapefruit
Implemented into RevCMS by Kryptos


转载 - Java对象的内存结构
起因
Java对象的内存结构非常重要，但是很多人不清楚，至少我之前也不清楚。特转载一篇文章，我觉得讲得很好。
http://www.codeinstructions.com/2008/12/java-objects-memory-structure.html
SATURDAY, DECEMBER 13, 2008
Java Objects Memory Structure
Update (December 18th, 2008): I've posted here an experimental library that implements Sizeof for Java.
One thing about Java that has always bothered me, given my C/C++ roots, is the lack of a way to figure out how much memory is used by an object. C++ features the sizeof operator, that lets you query the size of primitive types and also the size of objects of a given class. This operator in C and C++ is useful for pointer arithmetic, copying memory around, and IO, for example.
Java doesn't have a corresponding operator. In reality, Java doesn't need one. Size of primitive types in Java is defined in the language specification, whereas in C and C++ it depends on the platform. Java has its own IO infrastructure built around serialization. And both pointer arithmetic and bulk memory copy don't apply because Java doesn't have pointers.
But every Java developer at some point wondered how much memory is used by a Java object. The answer, it turns out, is not so simple.
The first distinction to be made is between shallow size and deep size. The shallow size of an object is the space occupied by the object alone, not taking into account size of other objects that it references. The deep size, on the other hand, takes into account the shallow size of the object, plus the deep size of each object referenced by this object, recursively. Most of the times you will be interested on knowing the deep size of an object, but, in order to know that, you need to know how to calculate the shallow size first, which is what I'm going to talk about here.
One complication is that runtime in memory structure of Java objects is not enforced by the virtual machine specification, which means that virtual machine providers can implement them as they please. The consequence is that you can write a class, and instances of that class in one VM can occupy a different amount of memory than instances of that same class when run in another VM. Most of the world, including myself, uses the Sun HotSpot virtual machine though, which simplifies things a lot. The remainder of the discussion will focus on the 32 bit Sun JVM. I will lay down a few 'rules that will help explain how the JVM organizes the objects' layout in memory.
Memory layout of classes that have no instance attributes
In the Sun JVM, every object (except arrays) has a 2 words header. The first word contains the object's identity hash code plus some flags like lock state and age, and the second word contains a reference to the object's class. Also, any object is aligned to an 8 bytes granularity. This is the first rule or objects memory layout:
Rule 1: every object is aligned to an 8 bytes granularity.
Now we know that if we call new Object(), we will be using 8 bytes of the heap for the two header words and nothing else, since theObject class doesn't have any fields.
Memory layout of classes that extend Object
After the 8 bytes of header, the class attributes follow. Attributes are always aligned in memory to their size. For instance, ints are aligned to a 4 byte granularity, and longs are aligned to an 8 byte granularity. There is a performance reason to do it this way: usually the cost to read a 4 bytes word from memory into a 4 bytes register of the processor is much cheaper if the word is aligned to a 4 bytes granularity.
In order to save some memory, the Sun VM doesn't lay out object's attributes in the same order they are declared. Instead, the attributes are organized in memory in the following order:
1 2 3 4 5 | doubles and longs ints and floats shorts and chars booleans and bytes references |
This scheme allows for a good optimization of memory usage. For example, imagine you declared the following class:
1 2 3 4 5 6 7 | class MyClass { byte a; int c; boolean d; long e; Object f; } |
If the JVM didn't reorder the attributes, the object memory layout would be like this:
1 2 3 4 5 6 7 8 9 | [HEADER: 8 bytes] 8 [a: 1 byte ] 9 [padding: 3 bytes] 12 [c: 4 bytes] 16 [d: 1 byte ] 17 [padding: 7 bytes] 24 [e: 8 bytes] 32 [f: 4 bytes] 36 [padding: 4 bytes] 40 |
Notice that 14 bytes would have been wasted with padding and the object would use 40 bytes of memory. By reordering the objects using the rules above, the in memory structure of the object becomes:
1 2 3 4 5 6 7 8 | [HEADER: 8 bytes] 8 [e: 8 bytes] 16 [c: 4 bytes] 20 [a: 1 byte ] 21 [d: 1 byte ] 22 [padding: 2 bytes] 24 [f: 4 bytes] 28 [padding: 4 bytes] 32 |
This time, only 6 bytes are used for padding and the object uses only 32 bytes of memory.
So here is rule 2 of object memory layout:
Rule 2: class attributes are ordered like this: first longs and doubles; then ints and floats; then chars and shorts; then bytes and booleans, and last the references. The attributes are aligned to their own granularity.
Now we know how to calculate the memory used by any instance of a class that extends Object directly. One practical example is the java.lang.Boolean class. Here is its memory layout:
1 2 3 | [HEADER: 8 bytes] 8 [value: 1 byte ] 9 [padding: 7 bytes] 16 |
An instance of the Boolean class takes 16 bytes of memory! Surprised? (Notice the padding at the end to align the object size to an 8 bytes granularity.)
Memory layout of subclasses of other classes
The next three rules are followed by the JVM to organize the the fields of classes that have superclasses. Rule 3 of object memory layout is the following:
Rule 3: Fields that belong to different classes of the hierarchy are NEVER mixed up together. Fields of the superclass come first, obeying rule 2, followed by the fields of the subclass.
Here is an example:
1 2 3 4 5 6 7 8 9 | class A { long a; int b; int c; } class B extends A { long d; } |
An instance of B looks like this in memory:
1 2 3 4 5 | [HEADER: 8 bytes] 8 [a: 8 bytes] 16 [b: 4 bytes] 20 [c: 4 bytes] 24 [d: 8 bytes] 32 |
The next rule is used when the fields of the superclass don't fit in a 4 bytes granularity. Here is what it says:
Rule 4: Between the last field of the superclass and the first field of the subclass there must be padding to align to a 4 bytes boundary.
Here is an example:
1 2 3 4 5 6 7 | class A { byte a; } class B { byte b; } |
1 2 3 4 5 | [HEADER: 8 bytes] 8 [a: 1 byte ] 9 [padding: 3 bytes] 12 [b: 1 byte ] 13 [padding: 3 bytes] 16 |
Notice the 3 bytes padding after field a to align b to a 4 bytes granularity. That space is lost and cannot be used by fields of class B.
The final rule is applied to save some space when the first field of the subclass is a long or double and the parent class doesn't end in an 8 bytes boundary.
Rule 5: When the first field of a subclass is a double or long and the superclass doesn't align to an 8 bytes boundary, JVM will break rule 2 and try to put an int, then shorts, then bytes, and then references at the beginning of the space reserved to the subclass until it fills the gap.
Here is an example:
1 2 3 4 5 6 7 8 9 | class A { byte a; } class B { long b; short c; byte d; } |
Here is the memory layout:
1 2 3 4 5 6 7 | [HEADER: 8 bytes] 8 [a: 1 byte ] 9 [padding: 3 bytes] 12 [c: 2 bytes] 14 [d: 1 byte ] 15 [padding: 1 byte ] 16 [b: 8 bytes] 24 |
At byte 12, which is where class A 'ends', the JVM broke rule 2 and stuck a short and a byte before a long, to save 3 out of 4 bytes that would otherwise have been wasted.
Memory layout of arrays
Arrays have an extra header field that contain the value of the 'length' variable. The array elements follow, and the arrays, as any regular objects, are also aligned to an 8 bytes boundary.
Here is the layout of a byte array with 3 elements:
1 2 3 4 5 | [HEADER: 12 bytes] 12 [[0]: 1 byte ] 13 [[1]: 1 byte ] 14 [[2]: 1 byte ] 15 [padding: 1 byte ] 16 |
And here is the layout of a long array with 3 elements:
1 2 3 4 5 | [HEADER: 12 bytes] 12 [padding: 4 bytes] 16 [[0]: 8 bytes] 24 [[1]: 8 bytes] 32 [[2]: 8 bytes] 40 |
Memory layout of inner classes
Non-static inner classes have an extra 'hidden' field that holds a reference to the outer class. This field is a regular reference and it follows the rule of the in memory layout of references. Inner classes, for this reason, have an extra 4 bytes cost.
Final thoughts
We have learned how to calculate the shallow size of any Java object in the 32 bit Sun JVM. Knowing how memory is structured can help you understand how much memory is used by instances of your classes.
In the next post I will will show code that puts it all together and uses reflection to calculate the deep size of an object. Subscribe to my Feed or keep watching this blog for updates!
POSTED BY DOMINGOS NETO AT 11:05 PM TAGS: JAVA
------END-------
伍涛@成都 重整
2013-07-28


Created by Alexandr Kuldin
ˈmētēər / ˈmitiər / ˈmiːtjə
MongoDB, Express, Angular, Node
Y Combinator
| GitHub repo | Stars | Contributors |
| angular/angular.js | 49,702 | 1,476 |
| facebook/react | 43,105 | 7,354 |
| meteor/meteor | 34,136 | 289 |
| expressjs/express | 25,553 | 189 |
| nodejs/node | 23,785 | 930 |
| angular/angular | 12,526 | 278 |
curl https://install.meteor.com/ | sh
There is installer of it — no exceptions.
meteor create counter
meteor
meteor add twbs:bootstrap
meteor list
API is here
Cool tutorial is here
git clone https://github.com/meteor/simple-todos.git
The same as debugging Node.js. And more.
Mocha JavaScript test framework
meteor add practicalmeteor:mocha
meteor test --driver-package practicalmeteor:mocha
Official:
Angular-Meteor has it's own site.
Of course yes!
Yes!
Yes!
Yes!


@* * Copyright 2021 HM Revenue & Customs * * 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. *@ @import helper.CSRF @import config.ConfigKeys @import testOnly.models.FeatureSwitchModel @import views.html.templates.singleCheckbox @(form: Form[FeatureSwitchModel])(implicit request: Request[_], messages: Messages, appConfig: config.AppConfig) @views.html.main_template(title = "Software Choices Feature Switches", bodyClasses = None) { @helper.form(action = testOnly.controllers.routes.FeatureSwitchController.submitFeatureSwitch) { @CSRF.formField


Table of Vision:
Further communion with this tablet would be futile. Get the next Stone of Commune from
Magister Alminas of Goddard Castle Town
.


GetTemporaryDirectory()
语法
Result$ = GetTemporaryDirectory()概要
Returns the temporary directory name.
参数
无.
返回值
Returns the full path to the temporary directory. It will end with a directory separator ('\' on Windows and '/' otherwise).
It's very unlikely, but if this function fails, it will return an empty string.
备注
This directory provides read and write access and should be used to store temporary files. Depending on the operating system and settings, the contents of this directory may be deleted on a regular basis. It is however better to delete temporary files when they are no longer needed and not rely on such automatic cleanup.
参阅
GetCurrentDirectory(), GetHomeDirectory()
已支持操作系统
所有


The graph represents the current state of the RouteFlow network.
Left click
a node to show its
properties
.
Right click
a node to
centralize
it.
You can also
drag nodes to move
them.


men testosterone male contraceptive hormonal efficacy suppression sperm {border-style Endocrinol mg px;} #ffffff;} Metab effects studies azoospermia Clin dose phase plus rate contraception oral total recovery study -month method reported effective injectable trial undecanoate contraception. failure combination combined demonstrated regimen treatment Testosterone clinical contraception: different injection injections pregnancies px; spermatogenesis {font-family GnRH Health Meriggiola NES acne, enanthate font-size healthy phase, phase. pregnancy progestin regimens severe study. subjects time use using Contraceptive Male Swerdloff administered administration androgen antagonists concentration depot development double; hormone included increased large men. mood new normal potential safety study, suppression. transdermal < (.) -week Contraception Hormonal NETE Wang active adverse associated attributed border-color border-width effects. end extent family formulations higher methods. performed rates received research reversible safe solid; studied threshold trials used women {font-style {font-weight Androl Asian Chinese Lancet Reprod acceptability achieve androgenic bold compared completed contraceptives count courier; decrease discontinued effective, em; female followed gain, gel induced initial mechanism molecules months norethisterone oligozoospermia oligozoospermic participants period. person-years placebo-controlled possible progress pt;} showed shown single sites, spermatogenesis. tested treated volunteers week weeks weight work mg/ million/ml


Sophia Florsch: Macau circuit changes are "the right thing"
by Jack BenyonSophia Florsch says the "right thing" has been done in the changes made to the Lisboa corner in Macau, where she crashed spectacularly in last year's Formula 3 Grand Prix.
After colliding with Jehan Daruvala's car in 2018 Macau race, Florsch hit the inside wall and was then fired airborne into the photographers' bunker at high speed, resulting in a lengthy layoff with injuries that included a fractured vertebra.
In reaction to Florsch's crash and as part of the need to upgrade the circuit's homologation status to make it eligible to host the new FIA F3 car, seven areas of the circuit have been changed including the Lisboa corner.
- Violent crash in 2018 Macau GP
- The factors that saved Florsch's life
At the famous 90-degree right-hander in front of the Lisboa casino, the gap between the inside wall and the kerb has been reduced, while additional fencing has been added. A new tyre wall has also been installed and the photographers' bunker has been removed.
"I think the FIA is just doing the right thing," said Florsch in relation to the changes.
"I hope that it will help.
"You cannot really touch the sausage kerb at that angle anymore, so you can't start flying.
"We'll see in the race, but I hope and think something like this won't happen again."
Florsch returned to racing in the Formula Regional European Championship with Van Amersfoort Racing this season, but a long-term tie up with HWA culminated in a deal to drive one of the team's F3 cars in the Valencia post-season test and in Macau.
But the Valencia test day Florsch drove in was wet, meaning her first laps in the car in the dry came as her first at the Guia circuit since her crash.
Asked how it felt in those early laps, Florsch said: "I didn't really feel any different.
"It's just a lot of information at one point, having a virtual safety car on the out-lap, having the car for the first time and all that stuff.
"It's a lot to learn, I'm here for learning.
"I think it's pretty OK.
"I think there's no pressure, it's just getting the confidence, step by step, the more laps the better so no crashes, hopefully."
Florsch was 20th in free practice and provisionally qualified 23rd with Friday's final qualifying session still to run.
The changes to the track have been almost universally praised by drivers thanks to the fact that the corner angles and speeds have not been affected in most cases by any quest to meet homologation requirements and/or improve safety.
Reigning 2019 FIA F3 champion and Ferrari Formula 1 junior Robert Shwartzman said: "It's quite the same, it didn't really change the track much.
"The car is different from last year, but it's fun to drive it as well.
"I was expecting way worse at this track with this car, but it actually handles really well.
"It's good, they improved the safety and they didn't cause any difficulties for the drivers on track."
Watch the entire Macau Grand Prix weekend live on Autosport


Blog
April 2015 News
30/04/2015 - Git 2.4 released today, with push to deploy and atomic pushes as new features. Have fun!!!
28/04/2015 - Debian 8 - Jessie released. Linux distributions underpin much of the cloud infrastructure and Debian underpins Ubuntu and others #BigData
22/04/2015 - Machine learning the excuse to infuse AI into corporate systems but the big blocker is our own imagination? #bigdata
21/04/2015 - RabbitMQ Delayed Message Plugin is now available, in this world of micro services and SOA, queue technology is ever more important #BigData
21/04/2015 - use #Realm a mobile db competing with #sqlite & #coredata used on Apples #iWatch at realm.io, how far behind can corp DWH be? #bigdata
15/04/2015 - Linux kernel 4.0 is now out, Linus says this is just a solid code release!
15/04/2015 - Virtualbox beta release 5.0 available now.
13/04/2015 - Spark - faster than map reduce and hive in many circumstances! But how cosy is is this relationship really to Hadoop? #BigData #DataBricks
02/04/2015 - Off for Easter - have a good one everybody!!
01/04/2015 - Have a great day at AWS Summit - London #awscloud #bigdata
01/04/2015 - The rise of the Internet of Things - are we heading for grey glob of Api interconnections? Do we need one framework to rule them all #java


1.7 The Unix Philosophy in One Lesson
All the philosophy really boils down to one iron law, the hallowed 'KISS principle' of master engineers everywhere:
Unix gives you an excellent base for applying the KISS principle. The remainder of this book will help you learn how.
|


{% extends "layout.html" %} {% block title %} RoCry {% endblock %} {% block body %}
Hi everyone, my name is Dylan Bowsky. I have worked in the finance field for the last 8 years and have thoroughly enjoyed educating people and learning about finance. I have been working as a banker and have seem some things that big and small banks are lacking. Noticing this lack in the current market is what made me think of RoCry. RoCry is a platform to use Crypto as a diversifier in your portfolio along with stocks and bonds. We are using Machine Learning to learn from data on a daily level and see how our portfolios can keep getting better. Our portfolios at the current time are preset and were hand picked using background and historical data. The intent is used to use a well-rounded portfolio to start so the novice investor doesn’t get overwhelmed by the vast market. We include portfolios based of risk tolerance for the user to decide using our ChatBot. I am excited to further this project and continue to provide a service to all types of investors. Also be sure to check our ones to watch which is using a neural network model to pick up on trends for our top picks of the week.
Hello World! My name is Kevin Mau and I am part of the front-end development team of RoCry. More specifically, I engineered and implemented the cute little robot that loves to talk with our visitors! You can find our RoCry chatbot by clicking on the widget on the bottom right corner of our webpage. My plans for the future for our blue-colored friend would be to expand his capabilites to navigate our visitors to more and more resources found on our webpage. Also he will be able to collect more specific information to uniquely tailor to the user-experience. Ultimately, if the user permits, we want that our RoCry Bot to know the user's intentions so well that the RoCry Bot can execute trades on the user's behalf. Thank you for visiting and I hope that you are enjoying the RoCry platform.
Hello World! My name is Abiy Mekuria and I am part of portfolio development team of RoCry. More specifically, I designed the portfolio based on risk analysis of bonds , stocks and crypto. Due to a lot of information in internet investor get hard time to choice and invest on best options of portfolio recommendation. Here we are to create Rocry to bring our best portfolio for investors based on 5 risk analysis(Low, low_medium, medium, low_medium and High risk portfolio).


{% extends "./inc/base.html" %} {% block content %} {% import "./inc/inner_nav.html" as innerNav %} {{innerNav.account(1)}}
We will send you an optional activation e-mail. Please activate your e-mail for better user experience.


--- title: "Social Media Buttons" type: buttons scss: src/assets/stylesheets/_buttons.scss usage: "Social sharing links in a post's footer." --- Twitter Facebook


|
Native Library
|
#include <Date.hpp>
Public Member Functions | |
| Date () | |
| Date (int year, int month, int date) | |
| Date (int year, int month, int date, int hrs, int min) | |
| Date (int year, int month, int date, int hrs, int min, int sec) | |
| Date (long date) | |
| Date (String s) | |
| Date (const Date &target) | |
| ~Date () | |
| boolean | after (Date when) |
| boolean | before (Date when) |
| template<typename E > | |
| E | clone () |
| int | compareTo (Date anotherDate) |
| int | getDate () |
| int | getDay () |
| int | getHours () |
| int | getMinutes () |
| int | getMonth () |
| int | getSeconds () |
| long | getTime () |
| int | getTimezoneOffset () |
| int | getYear () |
| void | setDate (int date) |
| void | setHours (int hours) |
| void | setMinutes (int minutes) |
| void | setMonth (int month) |
| void | setSeconds (int seconds) |
| void | setTime (long time) |
| void | setYear (int year) |
| String | toGMTString () |
| String | toLocaleString () |
| String | toString () |
| Public Member Functions inherited from Java::Lang::Object | |
| virtual string | toString () const |
| virtual boolean | equals (const Object &o) const |
| Class< Object > | getClass () |
| virtual long | hashCode () const |
| void | notify () |
| void | notifyAll () |
| void | wait () |
| void | wait (long timeout) |
| void | wait (long timeout, int nanos) |
| boolean | operator== (const Object &target) const |
| boolean | operator!= (const Object &target) const |
Static Public Member Functions | |
| static long | parse (String s) |
| static long | UTC (int year, int month, int date, int hrs, int min, int sec) |
Additional Inherited Members | |
| Protected Member Functions inherited from Java::Lang::Object | |
| template<typename E > | |
| E | clone () |
| void | finalize () |
| Date::Date | ( | ) |
Allocates a Date object and initializes it so that it represents the time at which it was allocated,measured to the nearest millisecond.
Copyright 2017 Food Tiny Project. All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
  Only default constructor can refresh new time Every single set value to this class will remove refreshFlag - mean this class will be not available to refresh new time
| Date::Date | ( | int | year, |
| int | month, | ||
| int | date | ||
| ) |
Deprecated. As of JDK version 1.1, replaced by Calendar.set(year + 1900, month, date) or GregorianCalendar(year + 1900, month, date).
| year | |
| month | |
| date |
| Date::Date | ( | int | year, |
| int | month, | ||
| int | date, | ||
| int | hrs, | ||
| int | min | ||
| ) |
Deprecated. As of JDK version 1.1, replaced by Calendar.set(year + 1900, month, date, hrs, min) or GregorianCalendar(year + 1900, month, date, hrs, min).
| year | |
| month | |
| date | |
| hrs | |
| min |
| Date::Date | ( | int | year, |
| int | month, | ||
| int | date, | ||
| int | hrs, | ||
| int | min, | ||
| int | sec | ||
| ) |
Deprecated. As of JDK version 1.1, replaced by Calendar.set(year + 1900, month, date, hrs, min, sec) or GregorianCalendar(year + 1900, month, date, hrs, min, sec).
| year | |
| month | |
| date | |
| hrs | |
| min | |
| sec |
| Date::Date | ( | long | date | ) |
Allocates a Date object and initializes it to represent the specified number of milliseconds since the standard base time known as "the epoch", namely January 1, 1970, 00:00:00 GMT.
| date |
| Date::Date | ( | String | s | ) |
Deprecated. As of JDK version 1.1, replaced by DateFormat.parse(String s).
| s |
| Date::Date | ( | const Date & | target | ) |
Alloc a new object have sample orginal as target
| target |
| Date::~Date | ( | ) |
Destructor
Tests if this date is before the specified date.
| when |
|
inline |
We can hide function clone() on Object later Return a copy of this object.
| int Date::compareTo | ( | Date | anotherDate | ) |
Compares two Dates for ordering.
| anotherDate |
| int Date::getDate | ( | ) |
This function was implement on Object, no need to define again Compares two dates for equality.
| obj |
| int Date::getDay | ( | ) |
Deprecated. As of JDK version 1.1, replaced by Calendar.get(Calendar.DAY_OF_WEEK). (0 = Sunday, 1 = Monday, 2 = Tuesday, 3 = Wednesday, 4 = Thursday, 5 = Friday, 6 = Saturday)
| int Date::getHours | ( | ) |
Deprecated. As of JDK version 1.1, replaced by Calendar.get(Calendar.HOUR_OF_DAY).
| int Date::getMinutes | ( | ) |
Deprecated. As of JDK version 1.1, replaced by Calendar.get(Calendar.MINUTE).
| int Date::getMonth | ( | ) |
Deprecated. As of JDK version 1.1, replaced by Calendar.get(Calendar.MONTH).
| int Date::getSeconds | ( | ) |
Deprecated. As of JDK version 1.1, replaced by Calendar.get(Calendar.SECOND).
| long Date::getTime | ( | ) |
Returns the number of milliseconds since January 1, 1970, 00:00:00 GMT represented by this Date object.
| int Date::getTimezoneOffset | ( | ) |
Deprecated. As of JDK version 1.1, replaced by -(Calendar.get(Calendar.ZONE_OFFSET) + Calendar.get(Calendar.DST_OFFSET)) / (60 * 1000).
| int Date::getYear | ( | ) |
Deprecated. As of JDK version 1.1, replaced by Calendar.get(Calendar.YEAR) - 1900.
|
inlinestatic |
This function was implemented on Object, no need to define again Returns a hash code value for this object.
| s |
| void Date::setDate | ( | int | date | ) |
Deprecated. As of JDK version 1.1, replaced by Calendar.set(Calendar.DAY_OF_MONTH, int date).
| date |
| void Date::setHours | ( | int | hours | ) |
Deprecated. As of JDK version 1.1, replaced by Calendar.set(Calendar.HOUR_OF_DAY, int hours).
| hours |
| void Date::setMinutes | ( | int | minutes | ) |
Deprecated. As of JDK version 1.1, replaced by Calendar.set(Calendar.MINUTE, int minutes).
| minutes |
| void Date::setMonth | ( | int | month | ) |
Deprecated. As of JDK version 1.1, replaced by Calendar.set(Calendar.MONTH, int month).
| month |
| void Date::setSeconds | ( | int | seconds | ) |
Deprecated. As of JDK version 1.1, replaced by Calendar.set(Calendar.SECOND, int seconds).
| seconds |
| void Date::setTime | ( | long | time | ) |
Sets this Date object to represent a point in time that is time milliseconds after January 1, 1970 00:00:00 GMT.
| time |
| void Date::setYear | ( | int | year | ) |
Deprecated. As of JDK version 1.1, replaced by Calendar.set(Calendar.YEAR, year + 1900).
| year |
| String Date::toGMTString | ( | ) |
Deprecated. As of JDK version 1.1, replaced by DateFormat.format(Date date), using a GMT TimeZone.
| String Date::toLocaleString | ( | ) |
Deprecated. As of JDK version 1.1, replaced by DateFormat.format(Date date).
| String Date::toString | ( | ) |
Return toLocaleString()
|
inlinestatic |
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Webpack Workshop
Installation
yarn
Running tests
In order to run the tests (which run through Karma) you need to expose credentials as environment variables. We do that with direnv. Create a .envrc containing:
export username=tx_username
export password=tx_password
export tx_host=https://www.transifex.com|http://tx.loc:8000
export COVERALLS_REPO_TOKEN=...
export COVERALLS_SERVICE_NAME=travis
And then
direnv allow
yarn test
Purpose
LICENSE
MIT


CornerstoneWADOImageLoader Examples
The following examples should work on any browser that supports the
HTML5 canvas element. We currently recommend using Chrome for
development and the best end user experience. The following examples use
legacy cornerstone for rendering.


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Sathish Chandra Pichika, MSc. - Courses taught
Graduate Assistant, McMaster University, Canada, Sep’10-Dec’11
Courses: Statistics for Health Sciences (3 terms, 2rd year UG)
Topics taught: Data Visualization, T-Test, Analysis of Variance, Regression, Correlation, Minitab/SAS.
Graduate Assistant, University of Windsor, Canada, Sep’16-Present
Courses: Vector Calculus (5 Terms, 1st Year UG), Introduction to Probability (1 Term 2nd Year UG), Introduction to Statistics (2 terms, 2rd year UG)
Topics taught: Differential Calculus, Linear Algebra, Linear Models, Analysis of Variance, Regression, Correlation, R/SAS.
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# extends 'base_doc.html' # import 'macro/forms.html' as forms # block content_doc
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The story begins as Don Vito Corleone, the head of a New York Mafia family, oversees his daughter's wedding. His beloved son Michael has just come home from the war, but does not intend to become part of his father's business. Through Michael's life the nature of the family business becomes clear. The business of the family is just like the head of the family, kind and benevolent to those who give respect, but given to ruthless violence whenever anything stands against the good of the family.

InputText

<input pInputText type="text" />

InputTextarea

<textarea pInputTextarea type="text"></textarea>

Button

<button pButton label="Save"type="button"></button>

Dropdown

Listbox

Dialog

<button pButton label="Show" type="button" icon='fa-external-link' (click)="showDialog()"></button>

The story begins as Don Vito Corleone, the head of a New York Mafia family, oversees his daughter's wedding.
His beloved son Michael has just come home from the war, but does not intend to become part of his father's business.
Through Michael's life the nature of the family business becomes clear. The business of the family is just like the head of the family,
kind and benevolent to those who give respect,
but given to ruthless violence whenever anything stands against the good of the family.

The story begins as Don Vito Corleone, the head of a New York Mafia family, oversees his daughter's wedding.
His beloved son Michael has just come home from the war, but does not intend to become part of his father's business.
Through Michael's life the nature of the family business becomes clear. The business of the family is just like the head of the family,
kind and benevolent to those who give respect,
but given to ruthless violence whenever anything stands against the good of the family.

Cars

Datagrid

<template #car>

{{car.year}} - {{car.color}}

</template>

export class ResponsiveDemo implements OnInit {
cities: SelectItem[];
selectedCity: string;
options: SelectItem[];
selectedOption: string;
display: boolean = false;
cars: Car[];
showDialog() {
this.display = true;
}
constructor(private carService: CarService) {
this.cities = [];
this.cities.push({label:'New York', value:'New York'});
this.cities.push({label:'Rome', value:'Rome'});
this.cities.push({label:'London', value:'London'});
this.cities.push({label:'Istanbul', value:'Istanbul'});
this.cities.push({label:'Paris', value:'Paris'});
this.options = [];
this.options.push({label:'Option 1', value:'Option 1'});
this.options.push({label:'Option 2', value:'Option 2'});
this.options.push({label:'Option 3', value:'Option 3'});
this.options.push({label:'Option 4', value:'Option 4'});
this.options.push({label:'Option 5', value:'Option 5'});
}
ngOnInit() {
this.carService.getCarsMedium().then(cars => this.cars = cars);
}
}


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Faculty Access to Recommend:
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Display GPA, TSE etc. for student review:
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yes
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