| Interface | Description |
|---|---|
| ActionFuture<T> |
An extension to
Future allowing for simplified "get" operations. |
| ActionListener<Response> |
A listener for action responses or failures.
|
| AliasesRequest |
Needs to be implemented by all
ActionRequest subclasses that relate to
one or more indices and one or more aliases. |
| CompositeIndicesRequest |
Needs to be implemented by all
ActionRequest subclasses that are composed of
multiple subrequests which relate to one or more indices. |
| DocumentRequest<T> |
Generic interface to group ActionRequest, which work on single document level
Forces this class return index/type/id getters
|
| IndicesRequest |
Needs to be implemented by all
ActionRequest subclasses that relate to
one or more indices. |
| IndicesRequest.Replaceable | |
| ListenableActionFuture<T> |
An
ActionFuture that listeners can be added to. |
| RealtimeRequest |
Indicates that a request can execute in realtime (reads from the translog).
|
| ShardOperationFailedException |
An exception indicating that a failure occurred performing an operation on the shard.
|
| Class | Description |
|---|---|
| Action<Request extends ActionRequest,Response extends ActionResponse,RequestBuilder extends ActionRequestBuilder<Request,Response,RequestBuilder>> |
Base action.
|
| ActionListenerResponseHandler<Response extends TransportResponse> |
A simple base class for action response listeners, defaulting to using the SAME executor (as its
very common on response handlers).
|
| ActionModule | |
| ActionRequest<T extends ActionRequest> | |
| ActionRequestBuilder<Request extends ActionRequest,Response extends ActionResponse,RequestBuilder extends ActionRequestBuilder<Request,Response,RequestBuilder>> | |
| ActionResponse |
Base class for responses to action requests.
|
| ActionRunnable<Response> |
Base class for
Runnable s that need to call ActionListener.onFailure(Throwable) in case an uncaught
exception or error is thrown while the actual action is run. |
| DocWriteResponse |
A base class for the response of a write operation that involves a single doc
|
| GenericAction<Request extends ActionRequest,Response extends ActionResponse> |
A generic action.
|
| LatchedActionListener<T> |
An action listener that allows passing in a
CountDownLatch that
will be counted down after onResponse or onFailure is called |
| OriginalIndices |
Used to keep track of original indices within internal (e.g.
|
| ReplicationResponse |
Base class for write action responses.
|
| ReplicationResponse.ShardInfo | |
| ReplicationResponse.ShardInfo.Failure | |
| TransportActionNodeProxy<Request extends ActionRequest,Response extends ActionResponse> |
A generic proxy that will execute the given action against a specific node.
|
| ValidateActions |
| Enum | Description |
|---|---|
| ThreadingModel | |
| WriteConsistencyLevel |
Write Consistency Level control how many replicas should be active for a write operation to occur (a write operation
can be index, or delete).
|


array imap_get_quota ( resource $imap_stream , string $quota_root )
Retrieve the quota level settings, and usage statics per mailbox. For a non-admin user version of this function, please see the imap_get_quotaroot() function of PHP.
Returns an array with integer values limit and usage for the given mailbox. The value of limit represents the total amount of space allowed for this mailbox. The usage value represents the mailboxes current level of capacity. Will return FALSE in the case of failure. As of PHP 4.3, the function more properly reflects the functionality as dictated by the » RFC2087. The array return value has changed to support an unlimited number of returned resources (i.e. messages, or sub-folders) with each named resource receiving an individual array key. Each key value then contains an another array with the usage and limit values within it. For backwards compatibility reasons, the original access methods are still available for use, although it is suggested to update.


Currently, Microsoft Teams usage reports are available from both the Microsoft 365 admin center, and the Teams admin center. The reports are similar, but not the same. Use the activity reports to identify users who haven't started to use Teams or are using only a limited number of features. By monitoring activity reports, you can better understand what training or communication is required.
To view usage reports in the Microsoft 365 admin center, you must have global administrator permissions. There are two types of usage reports: Teams user activity and Teams device usage. To access both Teams usage reports:
The reports display a line chart and a detailed table view for 7, 30, 90, or 180 days. In the detailed view, select the three bars to change the sort order, filter the data, or choose which columns are displayed. To export data to Microsoft Excel, select Export.
You can view various reports from the Teams admin center, including live event usage and public switched telephone network (PSTN) reports. To access reports from Teams admin center:
The reports available from the Teams admin center are:
The Teams live event usage report includes event status, start time, views, and production type for each event. You'll gain insight into usage trends and see who in your organization schedules, presents, and produces live events.
The PSTN blocked users report displays the users in your organization who are blocked from making PSTN calls in Teams. You can view more information about each blocked user, including their assigned phone number and the reason they were blocked from making calls.
The PSTN minute pools report shows an overview of audio conferencing and calling activity in your organization by displaying the number of minutes consumed during the current month. You can see a breakdown of activity including the license used for calls, total minutes available, used minutes, and license usage by location.
The PSTN usage report displays an overview of calling and audio-conferencing activity in your organization. You can view detailed calling activity for Calling Plans if you use Microsoft as your telephony carrier, or for Direct Routing if you use your own telephony carrier.
More reports are being added, including the ones already in preview. See the Teams documentation for details.


Item. Make data available in another format. A data table - which can be read out by a screen reader - may be more useful than a graph for someone who is visually impaired.


Madhuku Says Mnangagwa Started Well in 2017, Lost Direction Along The Way 14 Nov 2019, 14:03 Platform for Youth Development chairperson, Claris Madhuku, says President Emmerson Mnangagwa started his presidency well in 2017 but lost direction along the way. He says indications are that the economic situation in Zimbabwe is expected to get worse if Mnangagwa does not work with the opposition


Toggle navigation
Fab Academy 2015
Antonio Burrai
[WEEK 6]
Electronics design
.
The weekly assignment focuses on modifying and inserting a button, a LED and a current-limiting resistor on a circuit board (starting board: echo hello-world board) using an electronics design software (in this case Eagle). I've learned to use Eagle, modify a schematic and a board, understand the functionality of the processor pins and I've improved my soldering techniques (surface mount) and my knowledge of component function.
REDRAWING THE ECHO HELLO-WORLD BOARD
. A comparison between the orginal (right side) and the brand new (left side) board is showed in the following figure. The existing component have been moved (i.e. FTDI connection) and: new traces have been drawed, new component have been inported. (highlighted by the blue pen).
After a few trial test regarding the exporting options and the output png size (please remember to use an elevated number of DPI) have been designed. Tools 1/32 and 1/64 have been used in the Roland Modela SRM-20 respectively to cut the external edge of the board (right side) and the traces (left side).
As introduced before the milling has been performed using the Roland Modela SRM-20.
Fab modules
have been used in order to "transform" the png files into the RML file needed from the machine.
Completed the milling and fter the research of all the components, I start soldering (at home, during the night). The
BOM (bill of materials)
is composed of: - 2 Resistor 10 K - 1 Red Led 1.8 V - 1 Resistor 180 Ohm - Attiny 44 microcontroller - 1 Capacitor Uf - 1 Cer Resonator 20 MHz - Black Button Tactile Switch - Isp - FTDI
I experienced some problem, due to the very small pieces. Using the desoldering wire has been a constant during my work.
After approximately an hour, the edited board was finished.
As it can be stated from the previous picture, I forget the six pin header for the connection with the FabISP. After the weekly journey to the Fab Lab Frosinone I solder the last part and the board is now ready to be programmed. Go directly to
page
for programming details.
Download area
The following files are downloadable:
Type of file
Description
Link (Type of file)
Echo hello-world board (edge cut)
Image file
(
PNG
)
Echo hello-world board (traces)
Image file
(
PNG
)
Eagle file
Schematic
(
sch
)
Eagle file
Board
(
brd
)


Relm: {{ Relm }}
| Points | Points Possible | Percent | Grade |
|---|---|---|---|
| {{ pointsScored }} | {{ pointsPossible }} | {{ percent | percent }} | {{ grade }} |
Quest Name:
Scored Points:
Points Possible:
| Quest Name | Points Scored | Points Possible | Percent | Grade | |
|---|---|---|---|---|---|
| {{ quest.name }} | {{ quest.points }} | {{ quest.points_possible }} | {{ quest.percent | percent }} | {{ quest.grade }} |


SCP-055: [unknown]
Item #: SCP-055
Object Class: Keter
Special Containment Procedures: Object is kept within a five (5) by five (5) by two point five (2.5) meter square room constructed of cement (fifty (50) centimeter thickness), with a Faraday cage surrounding the cement walls. Access is via a heavy containment door measuring two (2) by two point five (2.5) meters constructed on bearings to ensure door closes and locks automatically unless held open deliberately. Security guards are NOT to be posted outside SCP-055's room. It is further advised that all personnel maintaining or studying other SCP objects in the vicinity try to maintain a distance of at least fifty (50) meters from the geometric center of the room, as long as this is reasonably practical.
Description: SCP-055 is a "self-keeping secret" or "anti-meme". Information about SCP-055's physical appearance as well as its nature, behavior, and origins is self-classifying. To clarify:
All of these facts are periodically rediscovered, usually by chance readers of this file, causing a great deal of alarm. This state of concern lasts minutes at most, before the matter is simply forgotten about.
A great deal of scientific data has been recorded from SCP-055, but cannot be studied.
At least one attempt has been made to destroy SCP-055, or possibly move it from containment at Site 19 to another site, meeting failure for reasons unknown.
SCP-055 may present a major physical threat and indeed may have killed many hundreds of personnel, and we would not know it. Certainly it presents a gigantic memetic/mental threat, hence its Keter classification.
Document #055-1: An Analysis of SCP-055
The author puts forward the hypothesis that SCP-055 was never formally acquired by ████████████ ████████ and is in fact an autonomous or remotely-controlled agent, inserted at Site 19 by an unidentified third party for one or all of the following purposes:
No action to counter any of these potential threats is suggested, or indeed theoretically possible.
Addendum A:
Hey, if this thing really is an "anti-meme", why doesn't the fact that it's an "anti-meme" get wiped? We must be wrong about that somehow. Wait a minute, what if we were to keep notes about what it isn't? Would we remember those? Bartholomew Hughes, NSA
Document #055-2: Report of Dr. John Marachek
Survey team #19-055-127BXE was successfully able to enter SCP-055's container and ascertain the appearance and, to some degree, the nature of the object. Notes were taken according to the project methodology (see ████████████), after which the container was sealed again.
Excerpt from a transcript of personnel debriefing follows:
Dr. Hughes: Okay, I'm going to need to ask you some questions about number 55 now.
███████: Number what?
Dr. Hughes: SCP object 55. The object you just examined.
███████: Um, I don't know what you're talking about. I don't think we have a 55.
Dr. Hughes: Okay, then, ███████, I'd like you to tell me what you've been doing for the past two hours.
███████: What? I… <subject appears uncomfortable> … I don't know.
Dr. Hughes: Okay, then, do you remember that we all agreed that it wasn't spherical?
███████: That what wasn't… Oh! Right! It isn't round at all! Object 55 isn't round!
Dr. Hughes: So you remember it now?
███████: Well, no. I mean, I don't know what it is, but I know there is one. It's something you can't remember. And it's not a sphere.
Dr. Hughes: Wait a minute. What's not a sphere?
███████: Object 55.
Dr. Hughes: Object what?
███████: Doc, do you remember agreeing that something wasn't shaped like a sphere?
Dr. Hughes: Oh, right!
It appears to be possible to remember what SCP-055 is not (negations of fact), and to repeatedly deduce its existence from these memories.
Personnel involved in Survey #19-055-127BXE reported moderate levels of disorientation and psychological trauma associated with cycles of repeated memory and forgetfulness of SCP-055. However, no long-term behavioral or health problems were observed, and psych assessments of survey personnel showed consistent reports of this distress fading over time.
Recommendations: It may be worthwhile to post at least one staff member capable of remembering the existence of SCP-055 to each critical site.


I have always wanted to build some sort of fort at Kezar but have never gotten around to doing do since most of my time is spent lazing around the lake. The show Treehouse Masters did get me jazzed to build something on the land this year. Initially, I wanted to build a treehouse but researching treehouse construction and the costs, I decided I needed a lower budget alternative.
Having a wall tent from lively out west, I figured to have a nice cost efficient solution until I could build something more substation.  So I set out to build a platform that it could sit on top and be level and dry.
Scouting a Location
With the structure being situated on a hill with sections of flat vernal marshy areas, created a need to have the structure built on a slope. I also wanted the platform to be far away enough from the house that you feel like you are in the middle of the woods yet not too far that hauling materials would become an arduous task. My wife and I cleared a trail from the road to connecting trail network a couples years prior, that made a good route into the woods to the desired site.
 Making upwards of 30 trips up and down to the site, I found a nice mildly buzzed rhythm and enjoyed the exercise.
Breaking Ground
My friend Pete was nice enough to come out to Kezar for a weekend and help me with the initial and hardest portion of the construction. Seeing that this is the first fort that I have ever built that required measuring, Pete’s knowledge of construction was great to have when roughing out the initial frame. We started by laying out the concrete decking blocks in the dimension of 16’ x 12’. With being on a slope, we had to dig out the uphill backside to keep the platform level in all directions and have each of the decking blocks be level and secure. This called for lots of digging, fortunatley once you broke through the initial root mass of soil, it was easy sandy digging but lots of digging nonetheless.
Pete leveling out a decking block where 2x6x12 and 2x6x16 lay on the uphill portion of the structure. Also pictured, the trench on the backside we dug.
Frame It
Next we contructed one side of the frame that would be used as a template that the other sides of the platform would be built from. This involved of taking multiple measurments to make sure the inital section was nice and level. The downhill side of the platform uses 4x4’s as the support and sit vertically in the decking blocks. The 2x6 frame lays on top of the 4x4’s in the front and sits horizontally into the decking blocks in the back. We mimicked the same process on the opposite side of the platform. After making sure everything was still square and level, we screwed the remaining two sides togeter with lag bolts.
Me standing next to the level and true frame that will be used to hang joists that will support the decking.
We hung 2x6x12 joists with lag bolts every 16 inches down the 16 foot length frame. Afterwards, secured the joists met the frame with joist hangers. I couldn’t imagine doing this task alone, it was quick and easy work with Pete. Hanging the joists took little time compared to excavating and roughing in the primal frame.
Gratuitous Ralphie photo
The next time I went up to work on the fort, I added diaganol pieces that really made the structure sound. I added 4 more concrete supports using a total of 8 decking blocks used to hold the frame to the ground.
to be continued…


media
– Sounds and Images¶
This module describes media such as sound and images that you can use in your projects. Media are divided into submodules that indicate on which platform they are available.
media.ev3dev
– Sounds and Images¶
EV3 MicroPython is built on top of ev3dev, which comes with a variety of image and sound files. You can access them using the classes below.
You can also use your own sound and image files by placing them in your project folder.
Image Files¶
Sound Files¶
-
class
SoundFile
¶ Paths to standard EV3 sounds.
Expressions
Information
Communication
Movement sounds
Colors
Mechanical
Animal sounds
Numbers
System sounds
Fonts¶
-
class
Font
(family=None, size=12, bold=False, monospace=False, lang=None, script=None)¶ Object that represents a font for writing text.
The font object will be a font that is the “best” match based on the parameters given and available fonts installed.
Parameters: - family (str) – The preferred font family or
None
to use the default value. - size (int) – The preferred font size. Most fonts have sizes between 6 and 24.
This is the “point” size and not the same as
height
. - bold (bool) – When
True
, prefer bold fonts. - monospace (bool) – When
True
prefer monospaced fonts. This is useful for aligning multiple rows of text. - lang (str) – A language code, such as
'en'
or'zh-cn'
orNone
to use the default language. [1] - script (str) – A unicode script identifier such as
'Runr'
orNone
.
[1] Language codes
Note: Languages depend on installed fonts.
Can be “Regular” or “Bold”.
-
width
¶ Gets the width of the widest character of the font.
-
height
¶ Gets the height of the font.
-
text_width
(text)¶ Gets the width of the text when the text is drawn using this font.
Parameters: text (str) – The text. Returns: The width in pixels. Return type: int
-
text_height
(text)¶ Gets the height of the text when the text is drawn using this font.
Parameters: text (str) – The text. Returns: The height in pixels. Return type: int
Exploring more fonts
Behind the scenes, Pybricks uses Fontconfig for fonts. The Fontconfig command line tools can be used to explore available fonts in more detail. To do so, go to the ev3dev device browser, right click on your EV3 brick, and click Open SSH Terminal. Then you can enter one of these commands:
# List available font families. fc-list :scalable=false family # Perform lookup similar to Font.DEFAULT fc-match :scalable=false:dpi=119:family=Lucida:size=12 # Perform lookup similar to Font(size=24,lang=zh-cn) fc-match :scalable=false:dpi=119:size=24:lang=zh-cn
Pybricks only allows the use of bitmap fonts (
scalable=false
) and the screen on the EV3 has 119 pixels per inch (dpi=119
).- family (str) – The preferred font family or
Image Manipulation¶
Instead of drawing directly on the EV3 screen, you can make and interact
with image files using the Image
class given below.
-
class
Image
(source, sub=False)¶ Object representing a graphics image. This can either be an in-memory copy of an image or the image displayed on a screen.
Parameters: - source (str or Image) –
The source of the image.
If
source
is a string, then the image will be loaded from the file path given by the string. Only.png
files are supported. As a special case, if the string is_screen_
, the image will be configured to draw directly on the screen.If an
Image
is given, the new object will contain a copy of thesource
image object. - sub (bool) –
If
sub
isTrue
, then the image object will act as a sub-image of thesource
image (this only works if the type ofsource
isImage
and not when it is astr
).Additional keyword arguments
x1
,y1
,x2
,y2
are needed whensub=True
. These specify the top-left and bottom-right coordinates in thesource
image that will be used as the bounds for the sub-image.
-
static
empty
(width=<screen width>, height=<screen height>)¶ Creates a new empty
Image
object.Parameters: - width (int) – The width of the image in pixels.
- height (int) – The height of the image in pixels.
Returns: A new image with all pixels set to
Color.WHITE
.Return type: Raises: TypeError
–width
orheight
is not a number.ValueError
–width
orheight
is less than 1.RuntimeError
– There was a problem allocating a new image.
Drawing text
There are two ways to draw text on images.
draw_text()
lets text be placed precisely on the image orprint()
can be used to automatically print text on a new line.-
draw_text
(x, y, text, text_color=Color.BLACK, background_color=None)¶ Draws text on this image.
The most recent font set using
set_font()
will be used orFont.DEFAULT
if no font has been set yet.Parameters: - x (int) – The x-axis value where the left side of the text will start.
- y (int) – The y-axis value where the top of the text will start.
- text (str) – The text to draw.
- text_color (Color) – The color used for drawing the text.
- background_color (Color) – The color used to fill the rectangle behind the text or
None
for transparent background.
-
print
(*args, sep=' ', end='\n')¶ Prints a line of text on this image.
This method works like the builtin
print()
function, but it writes on this image instead.You can set the font using
set_font()
. If no font has been set,Font.DEFAULT
will be used. The text is always printed used black text with a white background.Unlike the builtin
print()
, the text does not wrap if it is too wide to fit on this image. It just gets cut off. But if the text would go off of the bottom of this image, the entire image is scrolled up and the text is printed in the new blank area at the bottom of this image.Parameters: - * (object) – Zero or more objects to print.
- sep (str) – Separator that will be placed between each object that is printed.
- end (str) – End of line that will be printed after the last object.
-
set_font
(font)¶ Sets the font used for writing on this image.
The font is used for both
draw_text()
andprint()
.Parameters: font ( Font
) – The font to use.
Drawing images
A copy of another image can be drawn on an image. Also consider using sub-images to copy part of an image.
-
draw_image
(x, y, source, transparent=None)¶ Draws the
source
image on this image.Parameters: - x (int) – The x-axis value where the left side of the image will start.
- y (int) – The y-axis value where the top of the image will start.
- source (Image or str) – The source
Image
. If the argument is a string, then thesource
image is loaded from file. - transparent (Color) – The color of
image
to treat as transparent orNone
for no transparency.
Drawing shapes
These are the methods to draw basic shapes, including points, lines, rectangles and circles.
-
draw_pixel
(x, y, color=Color.BLACK)¶ Draws a single pixel on this image.
Parameters: - x (int) – The x coordinate of the pixel.
- y (int) – The y coordinate of the pixel.
- color (Color) – The color of the pixel.
-
draw_line
(x1, y1, x2, y2, width=1, color=Color.BLACK)¶ Draws a line on this image.
Parameters: - x1 (int) – The x coordinate of the starting point of the line.
- y1 (int) – The y coordinate of the starting point of the line.
- x2 (int) – The x coordinate of the ending point of the line.
- y2 (int) – The y coordinate of the ending point of the line.
- width (int) – The width of the line in pixels.
- color (Color) – The color of the line.
-
draw_box
(x1, y1, x2, y2, r=0, fill=False, color=Color.BLACK)¶ Draws a box on this image.
Parameters: - x1 (int) – The x coordinate of the left side of the box.
- y1 (int) – The y coordinate of the top of the box.
- x2 (int) – The x coordinate of the right side of the box.
- y2 (int) – The y coordinate of the bottom of the box.
- r (int) – The radius of the corners of the box.
- fill (bool) – If
True
, the box will be filled withcolor
, otherwise only the outline of the box will be drawn. - color (Color) – The color of the box.
-
draw_circle
(x, y, r, fill=False, color=Color.BLACK)¶ Draws a circle on this image.
Parameters: - x (int) – The x coordinate of the center of the circle.
- y (int) – The y coordinate of the center of the circle.
- r (int) – The radius of the circle.
- fill (bool) – If
True
, the circle will be filled withcolor
, otherwise only the circumference will be drawn. - color (Color) – The color of the circle.
Image properties
-
width
¶ Gets the width of this image in pixels.
-
height
¶ Gets the height of this image in pixels.
Replacing the entire image
-
clear
()¶ Clears this image. All pixels on this image will be set to
Color.WHITE
.
-
load_image
(source)¶ Clears this image, then draws the
source
image centered in this image.Parameters: source (Image or str) – The source Image
. If the argument is a string, then thesource
image is loaded from file.
Saving the image
-
save
(filename)¶ Saves this image as a
.png
file.Parameters: filename (str) – The path to the file to be saved.
Raises: TypeError
–filename
is not a string.OSError
– There was a problem saving the file.
- source (str or Image) –


CrimPapers
Articles published on 15 November 2019
On 15 November 2019, 12 new articles were published in 9 journals.
Prison Leave in Italy: Legislation and Practical Application Is the Italian Regulation on Prison Leave Ensuring the Constitutional Purpose of Punishment?
Visibility and Vulnerability: A Mixed Methodology Approach to Studying Roma Individuals’ Victimization Experiences by Simon Wallengren, Anders Wigerfelt, Berit Wigerfelt, Caroline Mellgren
R.n. Kocsis: Applied Criminal Psychology: A Guide to Forensic Behavioral Sciences
The Effect of Religion on Emotional Well-Being Among Offenders in Correctional Centers of South Africa: Explanations and Gender Differences by Sung Joon Jang, Byron R. Johnson, Matthew L. Anderson, Karen Booyens
The Importance of Governments’ Response to Natural Disasters to Reduce Terrorist Risk by Daren Fisher, Laura Dugan
Assessing Cumulative Disadvantage Against Minority Female Defendants in State Courts by Kelsey L. Kramer, Xia Wang
Cyrille Fijnaut: A Pioneer From the Low Countries by Dirk van Daele
The Politics of the Police by Jack R Greene
Greg Prieto, Immigrants Under Threat: Risk and Resistance in Deportation Nation by Robert Koulish
Somnophilia: Examining Its Various Forms and Associated Constructs by Elizabeth T. Deehan, Ross M. Bartels
Scripting Stranger Sexual Offenses Against Women by Yi-Ning Chiu, Benoit Leclerc
Does Having A Minor Child Affect Criminal Charges and Sanctions Imposed on Female Defendants? by Frank A. Sloan, Elizabeth J. Gifford, Kelly E. Evans, Lindsey E. Kozecke


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Selected Input Field Lengths
Please note that on some input fields you can enter words that go beyond the window in which case the field contents will scroll. You will be able to enter additional information until you hear a beep which indicates that you have reached the maximum allowable input for that field.
Salutation - This is an optional title. Examples are: Mr., Mrs., Ms., Dr., Prof., etc.
Full Company Name - Enter your official company name.
Div/Dept and Street Address Information - Enter your complete mailing address. If you have a division or department name in your address, place this on the first line, followed by the street address on the next line. If there is no division or department, begin entering the street address on the first line. Use the box below the Street Address lines for additional address information. Do not use abbreviations unless necessary.
Additional Address Information - Enter any applicable address descriptions such as Gate, Building, Room, Mail Stop, etc. in the table beneath the Street Address lines. If part of your address does not match any of the displayed address elements, enter it in the second Street Address field.
City - Please do not abbreviate the name of your city unless it is too long for the city field.
State/Prov - Use the standard post office abbreviations for your state (US residents) or province (Canadian residents).
Postal Code - Use the appropriate postal (zip) code. US residents can add their 4-digit extension if desired.
Phone and Fax Numbers - Include your area code when completing these fields.
E-Mail Address - Please enter the COMPLETE address to be used for E-mail sent to you from outside your company.


MULTI-SYMPTOM DAYTIME AND NIGHTTIME COLD AND FLU RELIEF PLUS - acetaminophen, dextromethorphan hbr, doxylamine succinate, phenylephrine hcl
Walgreens Company
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
Active ingredients for DAYTIME ONLY (in each LiquidCap)
Acetaminophen
Dextromethorphan hydrobromide
Phenylephrine hydrochloride
Active ingredients for NIGHTTIME (in each LiquidCap)
Acetaminophen
Dextromethorphan hydrobromide
Doxylamine succinate
Phenylephrine hydrochloride
Purpose (DAYTIME ONLY)
Pain reliever/fever reducer
Cough suppressant
Nasal decongestant
Purpose (NIGHTTIME ONLY)
Pain reliever/fever reducer
Cough suppressant
Antihistamine
Nasal decongestant
Uses (DAYTIME ONLY)
temporarily relieves these symptoms due to a cold or flu:
- minor aches and pains
- headache
- cough
- nasal and sinus congestion
- temporarily reduces fever
Uses (NIGHTTIME ONLY)
temporarily relieves these symptoms due to a cold or flu:
- minor aches and pains
- headache
- nasal and sinus congestion
- cough
- sore throat
- runny nose
- temporarily reduces fever
Warnings (DAYTIME ONLY)
Liver warning: This product contains acetaminophen. Severe liver damage may occur if you take:
- more than 10 capsules in 24 hours, which is the maximum daily amount for this product
- with other drugs containing acetaminophen
- 3 or more alcoholic drinks every day while using this product
Sore throat warning: If sore throat is severe, persists for more than 2 days, is accompanied or followed by fever, headache, rash, nausea, or vomiting, consult a doctor promptly.
Do not use
- with any other drug containing acetaminophen (prescription or nonprescription). If you are not sure whether a drug contains acetaminophen, ask a doctor or pharmacist.
- if you are now taking a prescription monoamine oxidase inhibitor (MAOI) (certain drugs for depression, psychiatric or emotional conditions, or Parkinson’s disease), or for 2 weeks after stopping the MAOI drug. If you do not know if your prescription drug contains an MAOI, ask a doctor or pharmacist before taking this product.
- if you are now taking a prescription monoamine oxidase inhibitor (MAOI) (certain drugs for depression, psychiatric or emotional conditions, or Parkinson’s disease), or for 2 weeks after stopping the MAOI drug. If you do not know if your prescription drug contains an MAOI, ask a doctor or pharmacist before taking this product.
- in children under 12 years of age
Ask a doctor before use if you have
- liver disease
- heart disease
- high blood pressure
- thyroid disease
- diabetes
- cough with excessive phlegm (mucus)
- difficulty in urination due to enlargement of the prostate gland
- persistent or chronic cough such as occurs with smoking, asthma, or emphysema
Ask a doctor or pharmacist before use if you are
- taking the blood thinning drug warfarin
- taking sedatives or tranquilizers
When using this product do not exceed recommended dosage
Stop use and ask doctor if
- pain, nasal congestion or cough gets worse or lasts more than 7 days
- fever gets worse or lasts more than 3 days
- redness or swelling is present
- new symptoms occur
- cough comes back or occurs with rash or headache that lasts
- nervousness, dizziness, or sleeplessness occurs
If pregnant or breast-feeding,
ask a health professional before use.
Keep out of reach of children.
In case of overdose, get medical help or contact a Poison Control Center right away. Quick medical attention is critical for adults as well as for children even if you do not notice any signs or symptoms.
Warnings (NIGHTTIME ONLY)
Liver warning: This product contains acetaminophen. Severe liver damage may occur if you take:
- more than 10 capsules in 24 hours, which is the maximum daily amount for this product
- with other drugs containing acetaminophen
- 3 or more alcoholic drinks every day while using this product
Sore throat warning: If sore throat is severe, persists for more than 2 days, is accompanied or followed by fever, headache, rash, nausea, or vomiting, consult a doctor promptly.
Do not use to sedate children.
Do not use
- with any other drug containing acetaminophen (prescription or nonprescription). If you are not sure whether a drug contains acetaminophen, ask a doctor or pharmacist.
- if you are now taking a prescription monoamine oxidase inhibitor (MAOI) (certain drugs for depression, psychiatric or emotional conditions, or Parkinson’s disease), or for 2 weeks after stopping the MAOI drug. If you do not know if your prescription drug contains an MAOI, ask a doctor or pharmacist before taking this product.
- if you are now taking a prescription monoamine oxidase inhibitor (MAOI) (certain drugs for depression, psychiatric or emotional conditions, or Parkinson’s disease), or for 2 weeks after stopping the MAOI drug. If you do not know if your prescription drug contains an MAOI, ask a doctor or pharmacist before taking this product.
- in children under 12 years of age
Ask a doctor before use if you have
- liver disease
- heart disease
- high blood pressure
- thyroid disease
- diabetes
- glaucoma
- cough with excessive phlegm (mucus)
- a breathing problem such as emphysema or chronic bronchitis
- difficulty in urination due to enlargement of the prostate gland
- persistent or chronic cough such as occurs with smoking, asthma, or emphysema
Ask a doctor or pharmacist before use if you are
- taking the blood thinning drug warfarin
- taking sedatives or tranquilizers
When using this product
- do not exceed recommended dosage
- marked drowsiness may occur
- avoid alcoholic drinks
- alcohol, sedatives and tranquilizers may increase drowsiness
- be careful when driving a motor vehicle or operating machinery
- excitability may occur, especially in children
Stop use and ask doctor if
- pain, nasal congestion or cough gets worse or lasts more than 7 days
- fever gets worse or lasts more than 3 days
- redness or swelling is present
- new symptoms occur
- cough comes back or occurs with rash or headache that lasts
- nervousness, dizziness, or sleeplessness occurs
If pregnant or breast-feeding,
ask a health professional before use.
Keep out of reach of children.
In case of overdose, get medical help or contact a Poison Control Center right away. Quick medical attention is critical for adults as well as for children even if you do not notice any signs or symptoms.
Directions (DAYTIME ONLY)
- do not take more than the recommended dose
- adults and children 12 years and over: take 2 capsules with water every 4 hours. Do not exceed 10 capsules in 24 hours or as directed by a doctor.
- children under 12 years: do not use
Directions (NIGHTTIME)
- do not take more than the recommended dose
- adults and children 12 years and over: take 2 capsules with water every 4 hours. Do not exceed 10 capsules in 24 hours or as directed by a doctor.
- children under 12 years: do not use
Other Information
- store at controlled room temperature 15°C to 30°C (59°F to 86°F)
Inactive ingredients (DAYTIME ONLY)
FD&C red #40, FD&C yellow #6, gelatin, glycerin, mannitol, pharmaceutical ink, polyethylene glycol, povidone, propylene glycol, purified water, sortitian, sorbitol
Inactive ingredients (NIGHTTIME)
D&C yellow #10, FD&C blue #1, gelatin, glycerin, mannitol, pharmaceutical ink, polyethylene glycol, povidone, propylene glycol, purified water, sortitian, sorbitol
Questions or comments?
1-800-706-5575
Principal Display Panel
Combo Pack
MULTI-SYMPTOM NON-DROWSY • DAYTIME
Cold & Flu Relief Plus
Acetaminophen
Aches/Fever/Sore Throat
Dextromethorphan HBr/Cough
Phenylephrine HCl/Nasal Congestion
12 LIQUID GELS
MULTI-SYMPTOM • NIGHTTIME
Cold & Flu Relief Plus
Aches/Fever/Sore Throat
Dextromethorphan HBr/Cough
Doxylamine Succinate/Sneezing/Runny Nose
8 LIQUID CAPS
Compare to Alka Seltzer PLUS® active ingredients‡‡
20 TOTAL LIQUID GELS
cold-and-flu-relief-plus-combo-ctn" src="http://dailymed.nlm.nih.gov/dailymed/image.cfm?setid=7b23d8dc-3ca0-90a9-964e-9ca2dfdf64b0&name=cold-and-flu-relief-plus-combo-ctn.jpg">


|
Bullet Collision Detection & Physics Library
|
#include "btMLCPSolver.h"
#include "LinearMath/btMatrixX.h"
#include "LinearMath/btQuickprof.h"
#include "btSolveProjectedGaussSeidel.h"
Go to the source code of this file.
Classes | |
| struct | btJointNode |
Variables | |
| bool | gUseMatrixMultiply = false |
| bool | interleaveContactAndFriction = false |
| bool gUseMatrixMultiply = false |
Definition at line 32 of file btMLCPSolver.cpp.
| bool interleaveContactAndFriction = false |
Definition at line 33 of file btMLCPSolver.cpp.


{% extends 'base/base.html' %} {% load static %} {% load crispy_forms_tags %} {% block base %}
Your username and password didn't match.Please try again!


{% extends "splunkdj:base_with_app_bar.html" %} {% load splunkmvc %} {% block title %}Chart Views - Web Framework Toolkit{% endblock title %} {% block css %} {% endblock css %} {% block content %}
The Chart view displays a series of data to plot in various configurable chart types.
When using Django, use the {% chart %}
template tag with the type
property to specify the type of chart to display.
This example shows how to create a chart:
{% chart id="example-chart" managerid="example-search" type="line" %}
var ChartView = require("splunkjs/mvc/chartview"); new ChartView({ id: "example-chart", managerid: "example-search", type: "line", el: $("#divToHangOn") }).render();
You can use the following types of charts:
An area chart (type="area"
) renders each series in a data set as a filled area with an optional line. The data table upon which the chart is structured must contain at least two columns: the first column contains the values to plot on the x-axis (such as _time values for a time chart), and each additional column contains a series of values to plot on the y-axis.
A bar chart (type="bar"
) renders data as horizontal bars. The data set must contain at least two columns: the first column contains the values to plot on the y-axis, and each additional column contains a series of values to plot on the x-axis.
A column chart (type="column"
) renders data as vertical columns. The data table upon which the chart is structured must contain at least two columns: the first column contains the values to plot on the x-axis, and each additional column contains a series of values to plot on the y-axis.
A filler gauge chart (type="fillerGauge"
) enables the visualization of a single numerical value mapped against a range of colors that may have particular business meaning or logic. The filler gauge is similar in appearance to a thermometer, with a liquid-like filler indicator that changes color as it rises or lowers and passes range boundaries. At least two range values are required to define a minimum and maximum range. Additional values can be supplied to define intervals between the minimum and maximum values.
A line chart (type="line"
) is a basic line graph that renders each series in a data set as a line with optional markers. The data table upon which the chart is structured must contain at least two columns: the first column contains the values to plot on the x-axis (such as _time values for a time chart), and each additional column contains a series of values to plot on the y-axis
A marker gauge chart (type="markerGauge"
) enables the visualization of a single numerical value mapped against a range of colors that may have particular business meaning or logic. The marker gauge is similar in appearance to a slide rule, with a linear range scale and a sliding marker that rests at the value returned by the search. At least two range values are required to define a minimum and maximum range. Additional values can be supplied to define intervals between the minimum and maximum values.
A pie chart (type="pie"
) renders data as a circle divided into slices. The data table upon which the chart is structured must contain at least two columns: the first column contains the labels for each pie chart slice, and the second column contains the values for those slices.
A radial gauge chart (type="radialGauge"
) enables the visualization of a single numerical value mapped against a range of colors that may have particular business meaning or logic. The radial gauge is similar in appearance to a speedometer in appearance with an arced range scale and a rotating needle. At least two range values are required to define a minimum and maximum range. Additional values can be supplied to define intervals between the minimum and maximum values.
A scatter chart (type="scatter"
) is a Cartesian chart that renders data as scattered markers, and supports single and multiple series.
For a complete list of chart options, see the Chart Configuration Reference.
These properties must be set in JavaScript, for example:
splunkjs.mvc.Components.getInstance("example-chart").settings.set({ "charting.axisTitleX.text": " x-axis title ", "charting.axisTitleY.text": " y-axis title ", "charting.legend.placement": "none", });
In addition to the charting library options, you can set the following properties using templates tags or JavaScript:
managerid
: The search manager of the chart.
type
: The type of chart.
data
: The name of the results model to use.
drilldownRedirect
: Whether to redirect when clicked.
The following events are fired by charts:
click:chart
: Fired when the chart is clicked.
click:legend
: Fired when the legend is clicked.
By default, the chart automatically drills down to the clicked data. You can prevent
this action by setting drilldownRedirect
to false
, or running
e.preventDefault()
in the click
handler.


{% extends "layout-side-nav.html" %} {% import "_vars-newsroom.html" as vars with context %} {% set view = get_document('views', 'newsroom') %} {% block title -%} Newsroom {%- endblock %} {% block desc -%} Press releases, speeches, op-eds, testimony, and blog posts produced by our Office of Communications {%- endblock %} {% block content_main_modifiers -%} {{ super() }} content__flush-bottom {%- endblock %} {% block content_main %} {# Get the latest Featured Topic #} {% import "featured-topic.html" as featured_topics %} {{ featured_topics.render(queries.watchroom.search_with_url_arguments(size=1)) }} {# Set the filters #} {% from "post-macros.html" import filters as filters with context %} {% set filter_by = ['category', 'tags', 'author', 'range_date'] %} {{ filters(filter_by, vars.query, vars.newsrooms, 'newsroom', { 'expand_label': 'Filter posts' }) }} {# Show the posts #} {% import "posts-paginated.html" as posts_paginated with context %} {{ posts_paginated.render(vars.newsrooms) }} {# Footer #} {% endblock %}


Carden
To get started, sign in with Google.
Sign in with Google
Science based app with Spaced Repetition
Memorize while browsing the web
Import & export from different sources
Levels and insightful stats system
...and much more, for free


Tables come in many styles and layouts, we made it simple for you to display a simple table and make it look
appealing.
Simply add the classes below to the table and it will inherit the styles.
| NAME | COMPANY | BALANCE | ||
|---|---|---|---|---|
| {{ row.name.first }} {{ row.name.last }} | {{ row.company }} | {{ row.email }} | {{ row.balance }} |


VUETIFY
WELCOME TO
VUETIFY
mdi-chevron-double-down
ABOUT ME
Vuetify is the #1 component library for Vue.js and has been in active development since 2016. The goal of the project is to provide users with everything that is needed to build rich and engaging web applications using the Material Design specification. It accomplishes that with a consistent update cycle, Long-term Support (LTS) for previous versions, responsive community engagement, a vast ecosystem of resources and a dedication to quality components.
Vuetify Documentation


The main purpose of the Tech Portal is to allow customers to place parts orders, and to track the complete order process from submission through invoicing. The site also provides customer relationship management functionality, allowing employees to track customer data and sales history.
The Tech Portal is built with PHP and a MySQL database. Pictured below is the admin overview page, which incorporates user preference settings to determine what data is displayed upon page load.
The code looks at those preferences and then performs a foreach loop with an if statement to determine the styling of each line before rendering it. Each line represents a current order. When clicked, a div is displayed above the table showing a view-only summary of the order. The view order link brings the user to a separate page where they can interact with it by adding, deleting, printing order information or fulfilling the order. Fulfilling an order generates an e-mail to the user and saves the data to the database.


Expensive vacations and difficult to pin the best price? Stuck at home with nothing to do? Our private locations and trusted properties are secluded- the best place to relax and have a change of pace. We can find the best-priced spots and customize your experience to you. Our 24-hour travel chat is here for you, so you can enjoy your getaway and have a memory of a lifetime. Contact a rep today!
Private Theaters are available for rental.
Go somewhere ⤾Cabins are available for your next adventure.
Go somewhere ⤾


--- layout: archive title: Zulip Chat Archive permalink: /stream/116395-maths/topic/preorder.20categories.html ---
Now that categories live in Prop
, should we turn preorder categories into category
instead of small_category
to get rid of the ulift
-plift
dance? https://github.com/leanprover-community/mathlib/blob/2f088fc1cb98c6e789f3c61e594e9c85a121d139/src/category_theory/category.lean#L117
@Scott Morrison What do you think about this? (Also in light of #926.)
No, it turns out to be a bad idea. I spent a while using it
in fact, the whole generalisation to Sort
was a bit dubious
Hmm... that's a pity
it's _possible_ that there is a good fix, actually
the problem was that when morphisms are in Prop
, because of proof irrelevance the simplifier won't touch them
so sometimes I'd have something I knew was the identity, but couldn't get there by simp
and then if I had a functor into a "honest" category, I couldn't show that F.map f
was the identity.
Hmm... I see.  It's too late for me to remember.
...
{% endraw %}Last updated: Apr 24 2020 at 19:02 UTC


Save the list of named arguments given in ...
to an RData file
args_<functionName>_<hhmmss>_<no>.RData
in the directory given in
targetdir
. This function can be used to log the inputs given to a
function together with the result returned by the function.
test_function
can then be used to check whether another version
of the function (e.g. obtained by code cleaning) can reproduce the stored
results from the stored arguments. Check out the example on the help page for
test_function
.
saveArgs(functionName, ..., targetdir = kwb.utils::createDirectory(file.path(tempdir(), "test")))
| functionName | name of the function to which the arguments to be saved belong. It will be used to generate a file name for the RData file. |
|---|---|
| ... | named arguments representing the arguments that have been given
to the function |
| targetdir | directory in which to store the objects given in |
path to the file written (invisibly)


BMW to build electric Mini in China
by Agence France-PresseLuxury German carmaker BMW on Friday said it would build fully electric models of its Mini cars at a new plant in China, as it kicked off a joint venture with Chinese partner Great Wall Motor.
Some 160,000 cars a year are set to roll off the assembly line at the planned factory in the city of Zhangjiagang in Jiangsu province, which will eventually employ 3,000 people.
Construction of the plant is slated to last from 2020 to 2022, BMW said in a statement.
Both partners are together investing 650 million euros ($715 million) in the project.
Alongside BMW’s all-electric Mini, the Chinese company will also build some of its own brand models at the plant.
“This is another important step towards the Mini brand’s electrified future,” the statement said.
The BMW group had already announced it would start manufacturing the first fully electric version of the iconic compact car at its Mini plant in Oxford, England this month.
Those first Mini E models are set to come to market early next year.
The Chinese tie-up comes as BMW joins other global carmakers in accelerating the shift to electric and hybrid vehicles, spurred by environmental concerns.
The costly pivot to the cleaner, smarter cars of tomorrow is hitting automakers hard at a time when the global industry is battling headwinds from a darkening economic outlook.
China is the world’s largest car market but after years of strong growth, car sales there fell last year for the first time since the 1990s.
A slowing economy, US-China trade tensions, and a Chinese crackdown on shady credit practices have all weighed on demand.
BMW board member Nicolas Peter said the Chinese joint venture, known as Spotlight Automotive Limited, underscored “the enormous importance of the Chinese market for us”.
Worldwide, BMW has set itself the goal of having more than one million fully-electric vehicles and plug-in hybrids on the roads by the end of 2021.
Demand for its flagship BMW i3 electric car has jumped by around 20 percent this year compared with 2018, it said.


Merge your branch locally, delete old branch and pull from upstream for much win!
Your pull request has been merged! Now, since you know that you definitely want those updates in your forked version, and your branch is in good working order, merge it into the main branch on your forked repository, in this case, 'gh-pages'.
First, move into the branch you want to merge into — in this case, branch 'gh-pages'.
$ git checkout gh-pages
Now tell Git what branch you want to merge in — in this case, your feature branch that begins with "add-".
$ git merge <BRANCHNAME>
Tidy up by deleting your feature branch now that it has been merged.
$ git branch -d <BRANCHNAME>
You can also delete the branch from your fork on GitHub:
$ git push <REMOTENAME> --delete <BRANCHNAME>
And last but not least, if you pull in updates from the original (since it now shows you on the home page) you'll be up to date and have a version too, live at: yourusername.github.io/patchwork.
To pull from the original upstream:
$ git pull upstream gh-pages
You've created local repositories, remote repositories, worked with a collaborator, pushed, pulled and joined the millions of others developing and enriching open source!
Visit jlord.github.io/patchwork to see your name incorporated!
$ git merge <BRANCHNAME>
$ git checkout <BRANCHNAME>
$ git branch -d <BRANCHNAME>
$ git push <REMOTENAME> --delete <BRANCHNAME>
$ git pull <REMOTENAME> <BRANCHNAME>


Train Finder
Search and add your destination
Train Name
Destination
Time
Frequency
Add to list
Train Name
Destination
Frequency
Next Arrival
Minutes Away


Quantification of variation in organismal color patterns as obtained from image data. Patternize defines homology between pattern positions across images either through fixed landmarks or image registration. Pattern identification is performed by categorizing the distribution of colors using RGB thresholds or image segmentation.
| Version: | 0.0.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | raster, sp, rgdal, abind, Morpho, dplyr, imager, magrittr, purrr, vegan, RNiftyReg |
| Published: | 2018-11-23 |
| Author: | Steven Van Belleghem [aut, cre] |
| Maintainer: | Steven Van Belleghem <vanbelleghemsteven at hotmail.com> |
| BugReports: | https://github.com/StevenVB12/patternize/issues |
| License: | GPL-3 |
| URL: | https://github.com/StevenVB12/patternize |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | patternize results |
| Reference manual: | patternize.pdf |
| Package source: | patternize_0.0.2.tar.gz |
| Windows binaries: | r-devel: patternize_0.0.2.zip, r-release: patternize_0.0.2.zip, r-oldrel: patternize_0.0.1.zip |
| OS X binaries: | r-release: patternize_0.0.2.tgz, r-oldrel: patternize_0.0.1.tgz |
| Old sources: | patternize archive |
Please use the canonical form https://CRAN.R-project.org/package=patternize to link to this page.


Our feet are built to be durable. Bones arranged to bear weight1, thick pads of skin, and fine motor control of each individual toe2 allow us to walk upright without a tail. As adults, we rarely think about how much we rely on our feet – at least not nearly as much (relatively) as our hands or eyes. When do you notice your feet? Probably when they begin to ache – after using them for hours at a time.
Our bodies are built so efficiently, we don’t notice important functions until they cause a problem.
I’ve written about cognitive load before, so I won’t go into detail here, but as we get better at certain skills, the less we have to devote cognitive resources to complete a task. Walking, for children, takes their full attention, to the point where if they look away from their target, they’ll lose their balance. The same is true in learning – as we learn new skills, we have to devote significant cognitive resources to the task. As we improve, our mind can allocate resources to concurrent activities. Students are able to look beyond the facts and move into the area of abstraction and exploration. As with learning to walk, we can begin to explore our surroundings without losing our foundation.
We’ve steadily grown detached from our bodies. Modern living (in America) rarely requires us to be aware of what our bodies are capable of in order to survive. According to Bassett, Wyatt, Thompson, Peters, and Hill (2010), Americans walk fewer than 5,000 steps per day – we’re not used to using our feet.
At the same time, we’ve steadily conditioned students to thinking one-dimensionally. Memorizing enough facts to pass a test has been the standard. When we ask students to stretch their thinking, we run into issues because their brains haven’t been stretched and exercised properly. Just like our feet feeling worn out (arguably) sooner than they should, our student’s minds fatigue quickly.
As educators, part of our role is to simultaneously stretch and support our students. The challenge is that students’ perceptions of those two goals is different than our own. We need to recognize the physical challenge (remember, the brain is a physical thing – it grows) as well as the emotional challenge at hand. Muscles are strengthened and toned when we destroy the fibers and allow them to repair. The way we think also goes through periods of destruction and reorganization as a part of learning.
Taking small, successive steps in learning is a way to help students overcome mental fatigue.
This is an enigmatic idea; practicing rudimentary skills is often used as an excuse to drill and kill material. It falls under the realm of “test preparation,” a get-out-of-jail-free card for teachers and systems to avoid changing the status quo. We need to recognize that base information and procedure is important, but it cannot be the focus of all instruction. As with walking, we have to focus on putting one foot in front of the other, but I’d like to be able to look around once in a while.
Bassett Jr, D. R., Wyatt, H. R., Thompson, H., Peters, J. C., & Hill, J. O. (2010). Pedometer-measured physical activity and health behaviors in United States adults. Medicine and science in sports and exercise, 42(10), 1819.
Vanderbilt, T. (2012). The crisis in American walking: How we got off the pedestrian path [Blog post]. Retrieved from http://www.slate.com/articles/life/walking/2012/04/why_don_t_americans_walk_more_the_crisis_of_pedestrianism_.html
2. Even losing your smallest toe for health reasons or because of an accident results (often) in having to re-learn how to walk. To experience the amount of work your toes do, stand on one foot with your arms out and eyes closed and keep your balance. You’ll make dozens of small adjustments with your toes to stay upright. </div>
Leave a comment


|
|
| Filter (int level) |
| |
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void | init (int id=0, unsigned addvalue=0) |
| |
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bool | filter (upx_byte *buf, unsigned buf_len) |
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void | unfilter (upx_byte *buf, unsigned buf_len, bool verify_checksum=false) |
| |
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void | verifyUnfilter () |
| |
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bool | scan (const upx_byte *buf, unsigned buf_len) |
| |
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static bool | isValidFilter (int filter_id) |
| |
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static bool | isValidFilter (int filter_id, const int *allowed_filters) |
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upx_byte * | buf |
| |
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unsigned | buf_len |
| |
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unsigned | adler |
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unsigned | addvalue |
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const int * | preferred_ctos |
| |
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unsigned char | cto |
| |
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unsigned | calls |
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unsigned | noncalls |
| |
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unsigned | wrongcalls |
| |
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unsigned | firstcall |
| |
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unsigned | lastcall |
| |
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unsigned | n_mru |
| |
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int | id |
| |
The documentation for this class was generated from the following files:


airflow.contrib.hooks.gcp_function_hook
¶
Module Contents¶
-
class
airflow.contrib.hooks.gcp_function_hook.
GcfHook
(api_version, gcp_conn_id='google_cloud_default', delegate_to=None)[source]¶ Bases:
airflow.contrib.hooks.gcp_api_base_hook.GoogleCloudBaseHook
Hook for the Google Cloud Functions APIs.
All the methods in the hook where project_id is used must be called with keyword arguments rather than positional.
-
static
_full_location
(project_id, location)[source]¶ Retrieve full location of the function in the form of projects/<GCP_PROJECT_ID>/locations/<GCP_LOCATION>
-
get_conn
(self)[source]¶ Retrieves the connection to Cloud Functions.
- Returns
Google Cloud Function services object.
- Return type
-
create_new_function
(self, location, body, project_id=None)[source]¶ Creates a new function in Cloud Function in the location specified in the body.
- Parameters
- Returns
None
-
update_function
(self, name, body, update_mask)[source]¶ Updates Cloud Functions according to the specified update mask.
-
upload_function_zip
(self, location, zip_path, project_id=None)[source]¶ Uploads zip file with sources.
- Parameters
- Returns
The upload URL that was returned by generateUploadUrl method.
-
delete_function
(self, name)[source]¶ Deletes the specified Cloud Function.
- Parameters
name (str) – The name of the function.
- Returns
None
-
static


| OLD line(s): 304
<Description>During the year, did the organization receive a contribution of qualified real property interest under section 170(h)?</Description> | NEW line(s): 304
<Description>Did the organization receive or hold an easement for conservation purposes?</Description> |


X-EXO KAI dominates over EXO KAI. 30 hours left to choose your Kai. Vote! @exoonearewe
by KkkpopvvvThe EXO comeback competition has started! The group that will win will receive bonus content. The voting updates every 6 hours on the mobile version of the @exoonearewe website. At the moment EXO Kai is leading with 3.8M votes(comments,re-tweets, likes, and engagement) and X-EXO Kai is losing with over 1M votes. Considering voters are supposed to engage with a new account,X-EXO Kai'svote progress is not bad but not enough to beat an account with millions of followers.
I choose my side you choose yours! Vote X-EXO Kai and here are the tweets for his teaser! If you want X-EXO Kai to win comment, re-tweet and like X-EXOs twitter content and X-EXO tweets from today. Next update in 5 hours! Do you think the villain will win for once? Share your opinion and winner down below!


Warning: Timestamp-based conflict resolution requires NTP to be correctly set up on all the nodes in your replication topology to ensure high-quality time synchronization. See Setting up NTP in the Couchbase documentation.
Replicas
Number of replica (backup) copies
{{validation.result.errors.replicaNumber}}
Access Control
{{validation.result.errors.proxyPort}}
Dedicated ports for memcached ASCII protocol are deprecated. Please see documentation for alternatives.
{{threadsNumberWarning}}
Auto-Compaction
Auto-Compaction settings trigger the compaction process. The process compacts databases and their respective view indexes.


| Sr. | ID | Skill Name | Sub Skills | Order Level | Active Status | Created On | Created By | Action |
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| Skill ID | {{upSkills}} | SkillElement Name | {{upslillelementName}} | Skill Name | {{updateskills}} |
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Class MaxCountPerBoxRule
Restricts that each box contains a max count of each value, as specified by the CountPerUniqueValue dictionary.
Inherited Members
Namespace: SudokuSpice.RuleBased.Rules
Assembly: SudokuSpice.dll
Syntax
public class MaxCountPerBoxRule : MaxCountRule, IMissingBoxValuesTracker, IRule
Constructors
| Improve this Doc View SourceMaxCountPerBoxRule()
Declaration
public MaxCountPerBoxRule()
Methods
| Improve this Doc View SourceCopyWithNewReference(IReadOnlyPuzzle)
Creates a deep copy of this IRule, with any internal IReadOnlyPuzzle
references updated to the given puzzle.
Declaration
public override IRule CopyWithNewReference(IReadOnlyPuzzle puzzle)
Parameters
| Type | Name | Description |
|---|---|---|
| IReadOnlyPuzzle | puzzle | The new puzzle reference to use. To ensure this rule's internal state is correct, this puzzle should contain the same data as the current puzzle referenced by this rule. |
Returns
| Type | Description |
|---|---|
| IRule |
Overrides
| Improve this Doc View SourceGetDimension(Coordinate)
Gets the dimension for a coordinate.
Declaration
protected override int GetDimension(in Coordinate c)
Parameters
| Type | Name | Description |
|---|---|---|
| Coordinate | c |
Returns
| Type | Description |
|---|---|
| System.Int32 |
Overrides
| Improve this Doc View SourceGetMissingValuesForBox(Int32)
Returns all the values that still need to be set in the given box.
Declaration
public BitVector GetMissingValuesForBox(int box)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Int32 | box |
Returns
| Type | Description |
|---|---|
| BitVector |
GetNumDimensions(IReadOnlyPuzzle)
Returns the number of dimensions that will be enforced to contain unique values.
Declaration
protected override int GetNumDimensions(IReadOnlyPuzzle puzzle)
Parameters
| Type | Name | Description |
|---|---|---|
| IReadOnlyPuzzle | puzzle | The puzzle for which to determine the number of dimensions. |
Returns
| Type | Description |
|---|---|
| System.Int32 |
Overrides
| Improve this Doc View SourceTrackUnsetCoordinatesOnSameDimension(Int32, Coordinate, CoordinateTracker)
Adds the coordinates of unset values on the given dimension to the given tracker.
Declaration
protected override void TrackUnsetCoordinatesOnSameDimension(int dimension, in Coordinate source, CoordinateTracker tracker)
Parameters
| Type | Name | Description |
|---|---|---|
| System.Int32 | dimension | The dimension to search. |
| Coordinate | source | The source coordinate for the change; should be skipped. |
| CoordinateTracker | tracker | The tracker to add coordiantes to. |
Overrides
| Improve this Doc View SourceTryInit(IReadOnlyPuzzle, BitVector)
Tries to initialize this rule to prepare to solve the given puzzle.
Declaration
public override bool TryInit(IReadOnlyPuzzle puzzle, BitVector uniquePossibleValues)
Parameters
| Type | Name | Description |
|---|---|---|
| IReadOnlyPuzzle | puzzle | The puzzle to be solved. |
| BitVector | uniquePossibleValues | All the unique possible values for this puzzle. |
Returns
| Type | Description |
|---|---|
| System.Boolean | False if the puzzle violates this rule and initialization fails, else true. |
Overrides
Remarks
In general, it doesn't make sense to want to maintain the previous state if this method fails. Therefore, it is not guaranteed that the rule's state is unchanged on failure.


--- title: "Hello World!" layout: splash permalink: / date: 2017-01-23T11:48:41-04:00 header: overlay_color: "#000" overlay_filter: "0.5" overlay_image: /assets/images/unsplash-image-2.jpg cta_label: "About Me" cta_url: "/aboutMe/" caption: "Photo credit: [**Unsplash**](https://unsplash.com)" excerpt: "This is a simple blog. It is hosted on Github, based on the technologies of JekyII, Liquid, Markdown and Minimal Mistakes." ---
{{ default: site.data.ui-text[site.locale].more_label | default: "Learn More" }}
{% endif %}{{ default: site.data.ui-text[site.locale].more_label | default: "Learn More" }}
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PART
: particle
This document is a placeholder for the language-specific documentation
for PART
.
Treebank Statistics (UD_Coptic)
There are 15 PART
lemmas (2%), 16 PART
types (1%) and 208 PART
tokens (2%).
Out of 14 observed tags, the rank of PART
is: 10 in number of lemmas, 10 in number of types and 11 in number of tokens.
The 10 most frequent PART
lemmas: ⲇⲉ, ⲉⲣⲉ, ⲛϭⲓ, ⲅⲁⲣ, ϭⲉ, ⲉⲓⲥ, ⲉⲧⲉⲣⲉ, ϩⲁⲙⲏⲛ, ϩⲏⲏⲧⲉ, ϫⲛ
The 10 most frequent PART
types: ⲇⲉ, ⲛϭⲓ, ⲉ, ⲅⲁⲣ, ϭⲉ, ⲛⲧ, ⲉⲓⲥ, ⲉⲣⲉ, ϩⲁⲙⲏⲛ, ϩⲏⲏⲧⲉ
The 10 most frequent ambiguous lemmas: ⲉⲣⲉ (SCONJ 151, PART 44, ADP 2), ϭⲉ (PART 9, DET 1), ⲉⲧⲉⲣⲉ (SCONJ 197, PART 3), ϩⲏⲏⲧⲉ (NOUN 1, PART 1), ϫⲛ (CCONJ 1, PART 1), ⲉⲛⲉ (CCONJ 4, PART 1), ⲉⲧⲉ (PART 1, SCONJ 1), ⲙⲉⲛ (CCONJ 3, PART 1)
The 10 most frequent ambiguous types: ⲉ (ADP 189, SCONJ 146, PART 35, PRON 1), ϭⲉ (PART 9, DET 1), ⲛⲧ (SCONJ 28, PART 8, VERB 1), ⲉⲣⲉ (SCONJ 16, PART 4), ϩⲏⲏⲧⲉ (PART 1, NOUN 1), ϫⲛ (PART 1, CCONJ 1), ⲉⲛⲉ (CCONJ 4, PART 1), ⲉⲧⲉ (SCONJ 20, PART 1), ⲙⲉⲛ (CCONJ 3, PART 1), ⲣⲱ (NOUN 3, PART 1)
- ⲉ
- ADP 189: ⲛ ⲥⲉ ⲛⲁ ϭⲙϭⲟⲙ ⲅⲁⲣ ⲁⲛ ⲉ ⲣϩⲙϩⲁⲗ ⲛⲁ ⲕ , ⲛ ⲥⲉ ⲣϩⲙϩⲁⲗ ⲛ ⲛ ⲣⲉϥϫⲓⲛϭⲟⲛⲥ ,
- SCONJ 146: ⲛⲧⲱⲧⲛ ⲇⲉ ⲧⲉⲛⲟⲩ ⲧⲉⲧⲛ ⲫⲟⲣⲉⲓ ⲛ ϩⲉⲛ ϣⲧⲏⲛ ⲉ ⲩ ⲧⲁⲉⲓⲏⲩ .
- PART 35: ⲛⲧⲟϥ ⲇⲉ ⲉ ϥ ⲛⲁ ⲃⲁⲡⲧⲓⲍⲉ ⲙⲙⲱ ⲧⲛ ϩⲛ ⲟⲩ ⲡⲛⲉⲩⲙⲁ ⲉ ϥ ⲟⲩⲁⲁⲃ .
- PRON 1: ⲁⲩⲱ ⲛⲧⲉⲣⲉ ϥ ⲁⲙⲁϩⲧⲉ ⲛ ⲧ ϭⲓϫ ⲛ ⲧ ϣⲉⲉⲣⲉ ϣⲏⲙ ⲡⲉϫⲁ ϥ ⲛⲁ ⲥ ϫⲉ ⲧⲁⲗⲉⲓⲑⲁ ⲕⲟⲩⲙ . ⲉⲧⲉ ⲡⲁⲓ ⲡⲉ ϣⲁ ⲩ ⲟⲩⲁϩⲙⲉ ϥ ϫⲉ ⲧ ϣⲉⲉⲣⲉ ϣⲏⲙ ⲉⲓ ϫⲉⲣⲟ ⲧⲱⲟⲩⲛ ⲉ
- ϭⲉ
- ⲛⲧ
- SCONJ 28: ⲛ ⲧ ϩⲉ ⲟⲛ ⲛⲧ ⲁ ⲕ ϫⲟⲟ ⲥ ϫⲉ ⲛ ⲣⲱⲙⲉ ⲁⲩⲱ ⲛⲁ ⲟⲓⲕⲟⲛⲟⲙⲟⲥ ϫⲓ ϩⲛⲁ ⲩ ⲛⲁ ϥ .
- PART 8: ⲡⲉϫⲁ ϥ ⲛⲁ ⲩ ϫⲉ ⲙⲡⲉ ⲧⲛ ⲟϣ ϥ ⲗⲁⲁⲩ ϫⲉ ⲛⲧ ⲁ ⲇⲁⲩⲉⲓⲇ ⲣ ⲟⲩ ⲛⲧⲉⲣⲉ ϥ ϩⲕⲟ ⲛⲧⲟϥ ⲙⲛ ⲛ ⲉⲧ ⲛⲙⲙⲁ ϥ
- VERB 1: ⲏ ⲉⲣϣⲁⲛ ϩⲟⲩⲟ ⲉ ⲛ ⲙⲏⲏϣⲉ ⲛⲧ ⲁ ⲕ ϫⲟⲟ ⲥ ϫⲉ ⲥⲉ ϫⲓ ϩⲛⲁ ⲩ ⲛⲁ ϥ . ⲉⲩϣⲁⲛ ⲡⲱⲛⲅ ⲛⲁ ⲓ ⲁϫⲛ ϯ ⲥⲟ ϫⲉ ϯ ⲟ ϩⲱⲱ ⲧ ⲛ ϩⲙϩⲁⲗ ⲛⲁ ⲩ ⲕⲁⲗⲱⲥ ϫⲉ ⲛⲁ ⲥⲛⲏⲩ ⲛⲉ ⲉ ⲓ ⲥⲱⲟⲩ ϩⲛⲁ ⲩ ⲉϩⲟⲩⲛ ⲉ ϩⲉⲛ ⲁϩⲟ ϩⲛ ⲧ ⲡⲉ ⲛ ⲛ ⲉⲧ ⲟⲩϯ ⲙⲙⲟ ⲟⲩ ⲛ ⲧⲁⲉⲓⲟ ⲙ ⲡ ⲛⲟⲩⲧⲉ . ⲙⲏ ⲛⲧ ⲁ ⲩ ⲛⲧ ⲟⲩ ⲉⲃⲟⲗ ϩⲙ ⲡⲉⲕ ⲏⲓ ⲙⲛ ⲡ ⲏⲓ ⲛ ⲛⲉⲕ ⲉⲓⲟⲧⲉ .
- ⲉⲣⲉ
- ϩⲏⲏⲧⲉ
- ϫⲛ
- ⲉⲛⲉ
- ⲉⲧⲉ
- ⲙⲉⲛ
- ⲣⲱ
- NOUN 3: ⲁⲩⲱ ⲓⲏⲥⲟⲩⲥ ⲁ ϥ ⲉⲡⲓⲧⲓⲙⲁ ⲛⲁ ϥ ⲉ ϥ ϫⲱ ⲙⲙⲟ ⲥ ϫⲉ ⲧⲙ ⲣⲱ ⲕ ⲛ ⲅ ⲉⲓ ⲉⲃⲟⲗ ⲙⲙⲟ ϥ
- PART 1: ⲙⲏ ⲟⲩⲛⲧⲉ ⲡⲉⲕ ⲉⲓⲱⲧ ⲕⲣⲟⲛⲟⲥ ⲗⲁⲁⲩ ⲣⲱ ⲛⲧⲟϥ ⲛⲥⲁ ϩⲉⲛ ⲛⲟⲃⲉ ⲛⲁⲓ ⲉⲧ ⲕ ⲟ ⲛ ⲟⲩ ⲟⲉⲓⲉ ⲉⲣⲟ ⲟⲩ ⲛⲁ ϥ ⲛⲧⲟⲕ ⲙⲛ ⲛ ⲉⲧ ⲉⲓⲛⲉ ⲙⲙⲟ ⲕ . ⲉ ⲧⲉⲧⲛ ϫⲟ ⲁⲩⲱ ⲉ ⲧⲉⲧⲛ ⲱⲗ ⲛⲁ ϥ ⲉϩⲟⲩⲛ ⲛ ⲙ ⲙⲛⲧⲁⲡⲓⲥⲧⲟⲥ ⲙⲛ ⲛ ϭⲟⲗ , ⲙⲛ ⲛ ϫⲓ ⲛ ϭⲟⲛⲥ , ⲙⲛ ⲛ ⲟⲩⲁ ⲙⲛ ϩⲱⲃ ⲛⲓⲙ ⲙ ⲡⲟⲛⲏⲣⲟⲛ .
Morphology
The form / lemma ratio of PART
is 1.066667 (the average of all parts of speech is 1.152000).
The 1st highest number of forms (3) was observed with the lemma “ⲉⲣⲉ”: ⲉ, ⲉⲣⲉ, ⲛⲧ.
The 2nd highest number of forms (1) was observed with the lemma “ϩⲁⲙⲏⲛ”: ϩⲁⲙⲏⲛ.
The 3rd highest number of forms (1) was observed with the lemma “ϩⲏⲏⲧⲉ”: ϩⲏⲏⲧⲉ.
PART
does not occur with any features.
Relations
PART
nodes are attached to their parents using 8 different relations: cop-dep/advmod (110; 53% instances), cop-dep/mark (48; 23% instances), cop-dep/case (44; 21% instances), cop-dep/advcl (2; 1% instances), cop-dep/cc (1; 0% instances), cop-dep/ccomp (1; 0% instances), cop-dep/discourse (1; 0% instances), cop-dep/fixed (1; 0% instances)
Parents of PART
nodes belong to 7 different parts of speech: VERB (147; 71% instances), NOUN (41; 20% instances), PROPN (8; 4% instances), DET (7; 3% instances), NUM (3; 1% instances), PART (1; 0% instances), PRON (1; 0% instances)
204 (98%) PART
nodes are leaves.
3 (1%) PART
nodes have one child.
1 (0%) PART
nodes have two children.
The highest child degree of a PART
node is 2.
Children of PART
nodes are attached using 3 different relations: cop-dep/fixed (2; 40% instances), cop-dep/nsubj (2; 40% instances), cop-dep/mark (1; 20% instances)
Children of PART
nodes belong to 4 different parts of speech: NOUN (2; 40% instances), CCONJ (1; 20% instances), NUM (1; 20% instances), PART (1; 20% instances)
PART in other languages: [am] [ar] [bg] [bxr] [ca] [ckb] [cop] [cs] [cu] [da] [de] [el] [en] [es] [et] [eu] [fa] [fi] [fo] [fr] [ga] [gl] [got] [grc] [he] [hi] [hr] [hu] [id] [it] [ja] [kk] [kmr] [ko] [la] [lv] [mr] [nl] [no] [pl] [pt] [ro] [ru] [sa] [sk] [sla] [sl] [so] [sr] [sv] [swl] [ta] [tr] [ug] [uk] [u] [urj] [ur] [vi] [yue] [zh]


We are a group of undergraduate students from the University of Aberdeen, coming from various fields of knowledge, united by the desire to speak up for our planet and foster change towards a more sustainable future. Check out our manifesto, which describes our aims and objectives!
Our manifesto
We organise discussions with a common environmental theme, through the use of an interdisciplinary approach, thus enabling all subjects to play a pivotal role in the talk for climate change.Our aim is to bring diverse views on global issues and to make all students feel compelled to participate and to freely share their knowledge.We think education represents the first step towards change, and our university campus is the best place to offer that, thanks to the role that passionate teachers and active students play in it.
You can become part of our team, helping us out with the development of new ideas and with events' organisation. If you are not a student from Aberdeen University, but you still want to make a change within your academic community, you can set up your own ORBE team! With the help of friends or colleagues who have the same interest in creating environmental related discussions.
For more information about our events and the kind of topics we are interested in you can see this collection of posts
News


--- title: "Matching in R" subtitle: "Our first steps in matching with R" type: book weight: 5 output: blogdown:html_page: theme: journal highlight: tango df_print: paged toc: yes toc_float: collapsed: false ---
Welcome to our fifth tutorial for the Statistics II: Statistical Modeling & Causal Inference (with R) course.
During this week's lecture you reviewed randomization in experimental setups. You also learned how matching can be leveraged to gather causal estimates.
In this lab session we will:
MatchIt
packagegml()
# These are the libraries we will use today. Make sure to install them in your console in case you have not done so previously.
library(tidyverse) # To use dplyr functions and the pipe operator when needed
library(ggplot2) # To create plots (this package is also loaded by library(tidyverse))
library(purrr) # To repeat code across our list in the balance table purrr::map() (this package is also loaded by library(tidyverse))
library(broom) # To format regression output
library(stargazer) # To format model output
library(knitr) # To create HTML tables with kable()
library(kableExtra) # To format the HTML tables
library(MatchIt) # To match
Today we will work with data from the Early Childhood Longitudinal Study (ECLS).
ecls_df <-
readr::read_csv("https://raw.githubusercontent.com/seramirezruiz/stats-ii-lab/master/Session%204/data/ecls.csv") %>%
dplyr::select(-childid, -race, -w3daded,
-w3momed, -w3inccat) #drop these columns (-)
names(ecls_df) #checking the names of the variables in the data frame
## [1] "catholic" "race_white" "race_black" "race_hispanic"
## [5] "race_asian" "p5numpla" "p5hmage" "p5hdage"
## [9] "w3daded_hsb" "w3momed_hsb" "w3momscr" "w3dadscr"
## [13] "w3income" "w3povrty" "p5fstamp" "c5r2mtsc"
## [17] "c5r2mtsc_std"
(Example inspired by Simon Ejdemyr: https://sejdemyr.github.io/r-tutorials/statistics/tutorial8.html)
MatchIt
: https://cran.r-project.org/web/packages/MatchIt/vignettes/matchit.pdfCobalt
: (optional library for matching plots and extra features): https://cran.r-project.org/web/packages/cobalt/vignettes/cobalt_A0_basic_use.htmlkableExtra
: (for formatting tables): https://cran.r-project.org/web/packages/kableExtra/vignettes/awesome_table_in_html.htmlStargazer
: (for formatting model output): https://www.jakeruss.com/cheatsheets/stargazer/As you may have seen in this week's application paper, balance tables feature prominently in work that utilizes matching.
In binary treatment setups, balance tables present an overview of the difference in means for the groups accross covariates.
Let's take the dataset as an example to review how to compare differences in means and build balance tables in R. There are multiple ways to explore these kinds of questions. In this lab we will leverage t-tests to check the statistical significance of the difference in means.
In other words, we want to know whether the observed differences in average value of a variable between the two groups or samples can be due to random chance (our null hypothesis).
In this case, let's imagine we want to check the statistical significance of the differences in the composition of the catholic and public school samples in the w3povrty
(under the poverty line) variable.
The general syntax for a t-test is simply as follows. The vectors refer to the variables whose mean you want to compare.
t.test(y ~ x, data = your_data)
t.test(w3povrty ~ catholic, data = ecls_df)
##
## Welch Two Sample t-test
##
## data: w3povrty by catholic
## t = 26.495, df = 4034.6, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## 0.1678107 0.1946307
## sample estimates:
## mean in group 0 mean in group 1
## 0.21918633 0.03796562
Now let's take a look at how can we create a simple and good looking balance table. The idea here is to compare the mean values of different variables across populations or groups. In our case, let's see whether the catholic and public school groups differ across the covariates in the dataset:
Here is one way to create the table (you can adapt this code for the assignment).
# create a list with the covariates
list_cov <- c("race_white", "race_black", "race_hispanic", "race_asian", "p5numpla",
"p5hmage", "p5hdage", "w3daded_hsb", "w3momed_hsb", "w3momscr", "w3dadscr",
"w3income", "w3povrty", "p5fstamp", "c5r2mtsc", "c5r2mtsc_std")
ecls_df %>% # our data frame
dplyr::summarize_at(list_cov, funs(list(broom::tidy(t.test(. ~ catholic))))) %>% # sequentially run t-tests across all the covariates in the list_cov (note that you have to change the "treatment")
purrr::map(1) %>% # maps into a list
dplyr::bind_rows(.id='variables') %>% # binds list into a single data frame and names the id column "variables"
dplyr::select(variables, estimate1, estimate2, p.value) %>% # select only the names, group means, and p-values
dplyr::mutate_if(is.numeric, round, 3) %>% # round numeric variables to three places
knitr::kable(col.names = c("Variable", "(Catholic = 0)", "(Catholic = 1)", "P value")) %>% # create kable table and remane headings
kableExtra::kable_styling() # style kable table for our knitted document
| Variable | (Catholic = 0) | (Catholic = 1) | P value |
|---|---|---|---|
| race_white | 0.556 | 0.725 | 0.000 |
| race_black | 0.136 | 0.054 | 0.000 |
| race_hispanic | 0.181 | 0.131 | 0.000 |
| race_asian | 0.066 | 0.052 | 0.025 |
| p5numpla | 1.133 | 1.093 | 0.000 |
| p5hmage | 37.561 | 39.575 | 0.000 |
| p5hdage | 40.392 | 41.988 | 0.000 |
| w3daded_hsb | 0.488 | 0.259 | 0.000 |
| w3momed_hsb | 0.464 | 0.227 | 0.000 |
| w3momscr | 43.114 | 47.492 | 0.000 |
| w3dadscr | 42.713 | 46.356 | 0.000 |
| w3income | 54889.159 | 82074.301 | 0.000 |
| w3povrty | 0.219 | 0.038 | 0.000 |
| p5fstamp | 0.129 | 0.015 | 0.000 |
| c5r2mtsc | 50.209 | 52.389 | 0.000 |
| c5r2mtsc_std | -0.031 | 0.194 | 0.000 |
In this tutorial we’ll analyze the effect of going to Catholic school, as opposed to public school, on student achievement. Because students who attend Catholic school on average are different from students who attend public school, we will use matching to get more credible causal estimates of Catholic schooling.
ecls_df %>%
dplyr::group_by(catholic) %>%
dplyr::summarize(n_students = n(),
avg_math = mean(c5r2mtsc_std),
std_error = sd(c5r2mtsc_std) / sqrt(n_students)) %>%
round(3) %>% # round the results
knitr::kable() %>% # create kable table
kableExtra::kable_styling() # view kable table
| catholic | n_students | avg_math | std_error |
|---|---|---|---|
| 0 | 9568 | -0.031 | 0.010 |
| 1 | 1510 | 0.194 | 0.022 |
We can see that we have many more students that did not attend Catholic school than those who did. Also, the Catholic school students have a higher average math score.
We can naively compare the students on their standardized math scores (c5r2mtsc_std). As you remember, the Naive Average Treatment Effect (NATE) is the difference in the means of the observed outcomes of the two groups:
\[NATE = E(y^1 | D = 1) - E(y^0 | D = 0)\]
In this case, the NATE would be difference between the average math scores.
Do you remember what we did in the last section?
We could substract the avg_math
for the catholic = 1 and the avg_math
for the catholic = 0
\[NATE = 0.194 - (-0.031)\] \[NATE = 0.194 + 0.031 = 0.225\]
t.test()
t.test(c5r2mtsc_std ~ catholic, data = ecls_df)
##
## Welch Two Sample t-test
##
## data: c5r2mtsc_std by catholic
## t = -9.1069, df = 2214.5, p-value < 2.2e-16
## alternative hypothesis: true difference in means is not equal to 0
## 95 percent confidence interval:
## -0.2727988 -0.1761292
## sample estimates:
## mean in group 0 mean in group 1
## -0.03059583 0.19386817
lm()
lm(c5r2mtsc_std ~ catholic, data = ecls_df) %>%
stargazer::stargazer(.,type = "html")
| Dependent variable: | |
| c5r2mtsc_std | |
| catholic | 0.224*** |
| (0.028) | |
| Constant | -0.031*** |
| (0.010) | |
| Observations | 11,078 |
| R2 | 0.006 |
| Adjusted R2 | 0.006 |
| Residual Std. Error | 0.997 (df = 11076) |
| F Statistic | 66.096*** (df = 1; 11076) |
| Note: | p<0.1; p<0.05; p<0.01 |
MatchIt
MatchIt
is designed for causal inference with a dichotomous treatment variable and a set of pretreatment control variables. Any number or type of dependent variables can be used.
We have three steps:
MatchIt::matchit()
MatchIt::match.data()
The basic syntax is as follows:
match_process <- MatchIt::matchit(treatment ~ x1 + x2, data = mydata) # NOTE. We include treatment ~ covariates
matched_df <- MatchIt::match.data(match_process)
matched_model <- lm(outcome ~ trearment, data = matched_df)
where treat is the dichotomous treatment variable, and x1 and x2 are pre-treatment co-variates, all of which are contained in the data frame mydata.
{{% callout note %}} As you can see, the outcome variable is not included in the matching procedure. {{% /callout %}}
MatchIt
is capable of using several matching methods:
Exact (method = "exact"): The simplest version of matching is exact. This technique matches each treated unit to all possible control units with exactly the same values on all the covariates, forming subclasses such that within each subclass all units (treatment and control) have the same covariate values.
Subclassification (method = "subclass"): When there are many covariates (or some covariates can take a large number of values), finding sufficient exact matches will often be impossible. The goal of subclassification is to form subclasses, such that in each of them the distribution (rather than the exact values) of covariates for the treated and control groups are as similar as possible.
Nearest Neighbor (method = "nearest"): Nearest neighbor matching selects the best control matches for each individual in the treatment group. Matching is done using a distance measure (propensity score) specified by the distance option (default = logit).
As well as optimal matching, full matching, genetic matching, and coarsened exact matching, all of which are detailed in the documentation.
A few additional arguments are important to know about:
distance: this refers to propensity scores. There are many options for how to calculate these within MatchIt.
discard: specifies whether to discard units that fall outside some measure of support of the distance measure (default is "none", discard no units). For example, if some treated units have extremely high propensity scores that are higher than any control units, we could drop those.
replace: a logical value indicating whether each control unit can be matched to more than one treated unit (default is replace = FALSE, each control unit is used at most once).
ratio: the number of control units to match to each treated unit (default is ratio = 1).
There are also some optional arguments for most of the matching methods, which you can read about in the documentation if you are interested.
We can use a combination of the results from our balance table and theory to identify which variables to use for matching. Let's perform an exact match with:
# first we must omit missing values (MatchIt does not allow missings)
match_data <- ecls_df %>%
dplyr::select(catholic, c5r2mtsc_std, race_white, p5hmage,
w3income, p5numpla, w3momed_hsb) %>%
na.omit()
# perform exact match
exact_match <- MatchIt::matchit(catholic ~ race_white + p5hmage + w3income +
p5numpla + w3momed_hsb,
method = "exact",
data = match_data)
# Try seeing the output in the console with summary(exact_match)
# grab the matched data into a new data frame
data_exact_match <- MatchIt::match.data(exact_match)
# estimate effect again with new data frame
exact_match_model <- lm(c5r2mtsc_std ~ catholic, data = data_exact_match)
stargazer::stargazer(exact_match_model, type = "html")
| Dependent variable: | |
| c5r2mtsc_std | |
| catholic | -0.101*** |
| (0.030) | |
| Constant | 0.319*** |
| (0.015) | |
| Observations | 5,405 |
| R2 | 0.002 |
| Adjusted R2 | 0.002 |
| Residual Std. Error | 0.934 (df = 5403) |
| F Statistic | 11.340*** (df = 1; 5403) |
| Note: | p<0.1; p<0.05; p<0.01 |
Now we can see that the mean in the group that did not attend Catholic school is actually about 0.10 higher than the mean for those who did. The results are statistically significant given that the confidence interval does not contain zero, and we have a fairly small p-value.
If we want to perform non-exact matching, we can use propensity scores. We can generate these manually using a logit model on the unmatched data set.
When we extract propensity scores, we model the propensity of each unit of falling under the treatment group based on their values on a set of covariates. This is how we would do this manually:
# create a new column with income by the thousands for more interpretable output
ecls_df <- ecls_df %>%
dplyr::mutate(w3income_1k = w3income / 1000)
# estimate logit model
m_ps <- glm(catholic ~ race_white + w3income_1k +
p5hmage + p5numpla + w3momed_hsb,
family = binomial(link = "logit"), # you can also use a probit link here
data = ecls_df)
# extract predicted probabilities
# type = "response" option tells R to output probabilities of the form P(Y = 1|X)
prs_df <- dplyr::tibble(pr_score = predict(m_ps, type = "response"),
catholic = m_ps$model$catholic) # the actual values
Let's plot the propensity scores by treatment group to explore common support:
# Histogram
ggplot(prs_df, aes(x = pr_score, fill = factor(catholic))) +
geom_histogram(alpha = 0.5) +
theme_minimal() +
theme(legend.position = "bottom") +
labs(title = "Propensity Score Distribution: Treatment and Control Groups",
x = "Propensity Score",
y = "Count",
fill = "Catholic School Attendance")
# Density plot
ggplot(prs_df, aes(x = pr_score, fill = factor(catholic))) +
geom_density(alpha = 0.5) +
theme_minimal() +
theme(legend.position = "bottom") +
labs(title = "Propensity Score Distribution: Treatment and Control Groups",
x = "Propensity Score",
y = "Density",
fill = "Catholic School Attendance")
# Jittered point plot
ggplot(prs_df, aes(x = pr_score, y = factor(catholic), color = factor(catholic))) +
geom_jitter() +
theme_minimal() +
theme(legend.position = "bottom") +
labs(title = "Propensity Score Distribution: Treatment and Control Groups",
x = "Propensity Score",
y = "Group",
color = "Catholic School Attendance")
MatchIt
can generate propensity scores itself, so we don't need to manually go through the process above. Let's try putting together a non-exact matching formula yourself! Try:
one_match <- MatchIt::matchit(catholic ~ race_white + w3income + p5hmage +
p5numpla + w3momed_hsb,
method = "nearest",
ratio = 1,
replace = TRUE,
data = match_data)
summary(one_match)
##
## Call:
## MatchIt::matchit(formula = catholic ~ race_white + w3income +
## p5hmage + p5numpla + w3momed_hsb, data = match_data, method = "nearest",
## ratio = 1, replace = TRUE)
##
## Summary of balance for all data:
## Means Treated Means Control SD Control Mean Diff eQQ Med
## distance 0.1927 0.1379 0.0845 0.0549 5.67e-02
## race_white 0.7411 0.5914 0.4916 0.1497 0.00e+00
## w3income 82568.9357 55485.0210 43961.0872 27083.9146 2.50e+04
## p5hmage 39.5932 37.5658 6.5506 2.0274 2.00e+00
## p5numpla 1.0917 1.1298 0.3910 -0.0380 0.00e+00
## w3momed_hsb 0.2234 0.4609 0.4985 -0.2375 0.00e+00
## eQQ Mean eQQ Max
## distance 0.0548 7.60e-02
## race_white 0.1501 1.00e+00
## w3income 27069.1775 6.25e+04
## p5hmage 2.2544 7.00e+00
## p5numpla 0.0399 2.00e+00
## w3momed_hsb 0.2374 1.00e+00
##
##
## Summary of balance for matched data:
## Means Treated Means Control SD Control Mean Diff eQQ Med eQQ Mean
## distance 0.1927 0.1927 0.0846 0.0000 0.0042 0.0040
## race_white 0.7411 0.7493 0.4336 -0.0081 0.0000 0.0026
## w3income 82568.9357 81775.6653 46655.1981 793.2703 0.0000 3178.8823
## p5hmage 39.5932 39.6169 5.1757 -0.0237 0.0000 0.1267
## p5numpla 1.0917 1.0777 0.2839 0.0141 0.0000 0.0155
## w3momed_hsb 0.2234 0.2226 0.4162 0.0007 0.0000 0.0095
## eQQ Max
## distance 1.20e-02
## race_white 1.00e+00
## w3income 6.25e+04
## p5hmage 9.00e+00
## p5numpla 1.00e+00
## w3momed_hsb 1.00e+00
##
## Percent Balance Improvement:
## Mean Diff. eQQ Med eQQ Mean eQQ Max
## distance 99.9987 92.6038 92.7374 84.1649
## race_white 94.5656 0.0000 98.2776 0.0000
## w3income 97.0711 100.0000 88.2565 0.0000
## p5hmage 98.8326 100.0000 94.3789 -28.5714
## p5numpla 63.0544 0.0000 61.1494 50.0000
## w3momed_hsb 99.6886 0.0000 96.0060 0.0000
##
## Sample sizes:
## Control Treated
## All 7915 1352
## Matched 1160 1352
## Unmatched 6755 0
## Discarded 0 0
We can interpret the resulting output as follows:
Now, let's plot the propensity scores for the treated and untreated units.
# simple plot - check out the cobalt package for nicer options, or use ggplot2 to create your own!
plot(one_match, type = "hist")
Let's extract the data from one_match and creating a balance table like the one we did before, just this time using the new data. Scroll down for the answer when you're ready.
# grab data set
data_prop_match <- MatchIt::match.data(one_match)
# create list of covariates for the table
list_cov <- c("race_white", "p5hmage", "w3income", "p5numpla", "w3momed_hsb")
data_prop_match %>% # our data frame
dplyr::summarize_at(list_cov, funs(list(broom::tidy(t.test(. ~ catholic))))) %>% # sequentially run t-tests across all the covariates in the list_cov (note that you have to change the "treatment")
purrr::map(1) %>% # maps into a list
dplyr::bind_rows(.id='variables') %>% # binds list into a single data frame and names the id column "variables"
dplyr::select(variables, estimate1, estimate2, p.value) %>% # select only the names, group means, and p-values
dplyr::mutate_if(is.numeric, round, 3) %>% # round numeric variables to three places
knitr::kable(col.names = c("Variable", "(Catholic = 0)", "(Catholic = 1)", "P value")) %>% # create kable table and remane headings
kableExtra::kable_styling() # style kable table for our knitted document
| Variable | (Catholic = 0) | (Catholic = 1) | P value |
|---|---|---|---|
| race_white | 0.743 | 0.741 | 0.910 |
| p5hmage | 39.521 | 39.593 | 0.730 |
| w3income | 79313.015 | 82568.936 | 0.080 |
| p5numpla | 1.078 | 1.092 | 0.233 |
| w3momed_hsb | 0.233 | 0.223 | 0.577 |
Those means look very close. Hooray.
Finally, let's estimate on the matched data set:
prop_match_model <- lm(c5r2mtsc_std ~ catholic, data = data_prop_match)
stargazer::stargazer(prop_match_model, type = "html")
| Dependent variable: | |
| c5r2mtsc_std | |
| catholic | -0.164*** |
| (0.037) | |
| Constant | 0.374*** |
| (0.027) | |
| Observations | 2,512 |
| R2 | 0.008 |
| Adjusted R2 | 0.008 |
| Residual Std. Error | 0.916 (df = 2510) |
| F Statistic | 20.106*** (df = 1; 2510) |
| Note: | p<0.1; p<0.05; p<0.01 |
As with the exact matching, we can see that those that did not attend Catholic school performed better on the test than those who did, and the results are statistically significant.


Written by
Story by KTM
1/27/2012
Next Level Productions
1588 Mission Dr.
Solvang, CA 93463
A gorgeous day. The sun is shining. But BRICK BRADDOCK, retired police detective, is sitting quietly, contemplating -- something.
The SCREEN DOOR slides open and DICK STEEL, his former partner and fellow retiree, emerges with two cold beers.
Beer's ready!
Are they cold?

Steel sits.
To retirement.
They drink long and well from the beers.
And then there's a long beat.
Longer than is funny.
Long enough to be depressing.
The men look at each other.

This is the home of THE BOY BAND, AKA DAN and JACK.  Money, drugs, and ridiculous props are strewn about the table.
(in Vietnamese, subtitled)
Did you know Brick and Steel are retired?
Then let's retire them.
Permanently.
Jack begins to argue vociferously in Vietnamese (?), But mercifully we...
Steel, in the middle of a heated phone call:
They're coming out of the woodwork!
(pause)
No, everybody we've put away!
(pause)
Point Blank Sniper?
From what seems like only INCHES AWAY. Steel's face FILLS the Leupold Mark 4 scope.
The man's a myth!
Steel turns and looks straight into the cross-hairs.
(oh crap)
Hello...
BRICK BRADDOCK
& DICK STEEL IN
BRICK & STEEL
FULL RETIRED
COGNITO, the criminal mastermind, is SLAMMED against the wall.
Woah woah woah, Brick and Steel!
Sure enough, it's Brick and Steel, roughing up their favorite usual suspect.
What is it you want with me, DICK?
Steel SMACKS him.
Who's coming after us?
Everyone's coming after you mate! Scorpio, The Boy Band, Sparrow, Point Blank Sniper...
As he rattles off the long list, Brick and Steel share a look. This is going to be BAD.
BRICK and STEEL get into Mom's PORSCHE, Steel at the wheel. They pause for a beat, the gravity of the situation catching up with them.
This is everybody we've ever put away.
(starting the engine)
So much for retirement!
They speed off. To destiny!
An EXTREMELY HANDSOME MAN drinks a beer. Shirtless, unfortunately.
His minion approaches offscreen:
We found Brick and Steel!
I want them dead. DEAD!
Beer flies.
THE END


CGTech provides a VUE of the future 22 Nov 2019, 15:24 by Mike Richardson Share This Article Tweet ShareShareShare Subscribe to our FREE Newsletter Tags


Attribute-value pairs are of the form name = value.
A section begins with a section name, followed on the same line by an open bracket {. The section may contain other sections, or attribute-value pairs. The section ends with a close bracket }, on a line by itself.
Any line beginning with a (#) is deemed to be a comment, and is ignored. Lines containing only whitespace are also ignored.
The file is line-based. That is, each newline-terminated line represents either a comment, a section name, or an attribute-value pair. It is not possible to specify multiple items on the same line, and there are no continuation lines.
The value for a particular attribute may reference a previously defined attribute by name. The standard shell reference format ${name} is used.
The individidual configuration directives are too numerous to list here, so this manual page only documents the file format. Please read the sample configuration file distributed with the server for comments describing each of the allowed configuration directives.
foo = bar
Sets variable foo to value bar.
blogs = ${foo}
Sets variable blogs to the value of variable foo.
my_section {
baz = bud
}
Defines a section named my_section, containing variable baz.


Performance education, practical job skills.
Full Stack Web Development Training
2 year Information and Technology course, which provided me solid knowledge background and logical thinking.
As the team leader led 6-people Scrum team, Complete a Domino’s Pizza clone for pizza online ordering with frontend and backend.
A weather app display city landmark’ cards and providing current and forecasting weather.
A fancy personal profile as you seen.
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I am a team person, able to communicate and collaborate with people from different background.


This is the core module for pyga.
Here are the basic vanilla components; Gene and a GeneticAlgorithm Other variations are sub-classes of these.
Bases: object
This is the base class for Gene objects. These do not represent a specific gene on one chromosme, rather it representes all possible genes that exist at that position - the different alleles (values).
Bases: object
Base class for the Genetic Algorithm itself.
Evolves a new generation of the population based on the fitness values calculated by score_population.
Replaces self.population with the new generation.
Creates a new genome based on self.chromosomepatterns. Uses the selfs random number generator, which may have been seeded.
Genome return is a tuple of tuples of alleles.
Returns a mutated copy of a genome. Genome must match self.chromosomepatterns, which it will do if created via self.genomemake or self.genomemutate. Mutation rate is based on self.mutationrate.
This does not do cross-over. This does not do duplication/deletion, and can’t unless changes are made to self.chromosomepatterns too.
Calculates the fitness of each individual in the population. Then sorts the population in descending fitness order. Ties are broken randomly.
Rather than returning the scores, it sets the self.scores variable This it to discourage repeated fitness calculations becaue it can be a computationally expensive process.
The genomes of the current generation are stored with the scores. This is to make it easy to see which genome got which score, rather than assuming self.population and self.scores have the same ordering.


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