It’s MLK day. So, let’s remember MLK Jr.
He was a peace activist that rallied a nation towards non-violence to end segregation. He was a strong leader with a religious inspiration and calling to share an alternate vision for the world - “I have a dream that my four little children will one day be judged not by the color of their skin but by the content of their character.” He’s most remembered for the “I Have a Dream” speech he delivered in Washington DC.
https://www.youtube.com/watch?v=I47Y6VHc3Ms
Did you know the King family had a civil trial regarding his assassination?
So, here’s a few facts. MLK Jr. was assassinated. Later there was a trial where the jury unanimously decided there was a conspiracy to kill MLK Jr. that included to mob/mafia and the US government, the government of the State of Tennessee, City of Memphis, the Memphis Police Department, the Government of Shelby County, Tennessee, and later a higher court repealed the decision of the lower court.
The court case in Dec 1999
Throughout part of November and December in 1999 a civil trial was held.
THE CIRCUIT COURT OF SHELBY COUNTY, TENNESSEE
THIRTIETH JUDICIAL DISTRICT AT MEMPHIS
CORETTA SCOTT KING, MARTIN
LUTHER KING, III, BERNICE KING,
DEXTER SCOTT KING and YOLANDA KING,
Plaintiffs,
Vs. Case No. 97242-4 T.D.
LOYD JOWERS and OTHER UNKNOWN
CO-CONSPIRATORS,
Mrs. Correta Scott King said this after the verdict was released
“There is abundant evidence of a major high level conspiracy in the assassination of my husband, Martin Luther King, Jr. And the civil court’s unanimous verdict has validated our belief.”
She continues- “The jury was clearly convinced by the extensive evidence that was presented during the trial that, in addition to Mr. Jowers, the conspiracy of the Mafia, local, state and federal government agencies, were deeply involved in the assassination of my husband. The jury also affirmed overwhelming evidence that identified someone else, not James Earl Ray, as the shooter, and that Mr. Ray was set up to take the blame.”
If you’d like 2750 pages of light reading on the court case check out this full transcript.
A few neat highlights
Regarding Mr. James Earl Ray, the man largely thought to have killed MLK Jr: “What [the judge] left out was the fact that Ray said, yes, legally guilty, legally guilty. He was legally because he was copping a plea, so he was legally guilty. He never confessed. The media has always said he confessed, the confessed killer. He never confessed. He always insisted that he didn’t do it.”
King Family Attorney: Mr. Glankler (the man who headed the investigation) sat in that chair. I just gave him a sampling of names, gave him twenty-three names. Do you recall that? I asked him if he interviewed these people in his investigation, these witnesses with vital evidence that you’ve heard, twenty-three. Do you know how many he actually interviewed? I recall I think it was two. That’s the investigation the Attorney General’s Office did. That just speaks for itself.”
There is a lot too this
It’s complicated. And I’m not an expert. I’m amazed the King family doesn’t have more to say after a higher court overturned the ruling. They clearly feel that this trial nailed it and correctly identified that there was a larger conspiracy at play than a lone gunman.
It’s something to dig into on MLK Jr. Day. Until then let’s keep working on a world filled with Peace, Abundance, and Liberty for all inhabitants of this planet.
This page is synchronized from the post: ‘Can we talk briefly about the civil trial the King Family won regarding MLK’’s assassination?’


There are a number of ways in R to count NAs (missing values). A common use case is to count the NAs over multiple columns, ie., a whole dataframe. That’s basically the question “how many NAs are there in each column of my dataframe”? This post demonstrates some ways to answer this question.
Way 1: using sapply
A typical way (or classical way) in R to achieve some iteration is using apply
and friends. sapply
renders through a list and simplifies (hence the “s” in sapply) if possible.
sapply(mtcars, function(x) sum(is.na(x)))
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> 0 0 0 0 0 0 0 0 0 0 0
Pros: Straightforward. No dependencies on other packages. Tried and true.
Cons: Not typestable; not sure you will always get the same data type back from this function. You might be surprised and get something you did not expect. That’s no problem in interactive use, but you’d not want for programming.
Way 2: using purrr::map
map
maps (applies) a function to each element of a vector/list. Here, the following code reads as “Apply ‘sum(is.na(.))’ on each column of mtcars”. Mind the tilde ~
before function. The dot
.` refers to the respective column.
library(tidyverse)
map(mtcars, ~sum(is.na(.)))
#> $mpg
#> [1] 0
#>
#> $cyl
#> [1] 0
#>
#> $disp
#> [1] 0
#>
#> $hp
#> [1] 0
#>
#> $drat
#> [1] 0
#>
#> $wt
#> [1] 0
#>
#> $qsec
#> [1] 0
#>
#> $vs
#> [1] 0
#>
#> $am
#> [1] 0
#>
#> $gear
#> [1] 0
#>
#> $carb
#> [1] 0
Pros: Modern, cool. Straightforward. Typestable. Complex function with lots of use cases.
Cons: Learning curve. Depends on package tidyverse
.
Way 3: using dplyr
The following code can be translated as something like this:
1. Hey R, take mtcars -and then-
2. Select all columns (if I'm in a good mood tomorrow, I might select fewer) -and then-
3. Summarise all selected columns by using the function 'sum(is.na(.))'
The dot .
refers to what was handed over by the pipe, ie., the output of the last step.
mtcars %>%
select(everything()) %>% # replace to your needs
summarise_all(funs(sum(is.na(.))))
#> mpg cyl disp hp drat wt qsec vs am gear carb
#> 1 0 0 0 0 0 0 0 0 0 0 0
Pros: Straightforward. Quite simple (simple than map
to me).
Cons: Depends on package tidyverse
.
Way 4: Counting NAs rowwise using apply
Sometimes it is useful to count the NAs rowwise (case by case). apply
allows for applying a function to each row of a dataframe (that the MARGIN
parameter).
apply(mtcars, MARGIN = 1, function(x) sum(is.na(x)))
#> Mazda RX4 Mazda RX4 Wag Datsun 710
#> 0 0 0
#> Hornet 4 Drive Hornet Sportabout Valiant
#> 0 0 0
#> Duster 360 Merc 240D Merc 230
#> 0 0 0
#> Merc 280 Merc 280C Merc 450SE
#> 0 0 0
#> Merc 450SL Merc 450SLC Cadillac Fleetwood
#> 0 0 0
#> Lincoln Continental Chrysler Imperial Fiat 128
#> 0 0 0
#> Honda Civic Toyota Corolla Toyota Corona
#> 0 0 0
#> Dodge Challenger AMC Javelin Camaro Z28
#> 0 0 0
#> Pontiac Firebird Fiat X1-9 Porsche 914-2
#> 0 0 0
#> Lotus Europa Ford Pantera L Ferrari Dino
#> 0 0 0
#> Maserati Bora Volvo 142E
#> 0 0
Pros: Straightforward.
Cons: ?
Way 5: Counting NAs rowwise using dplyr
mtcars %>%
rowwise %>%
summarise(NA_per_row = sum(is.na(.)))
#> # A tibble: 32 x 1
#> NA_per_row
#> <int>
#> 1 0
#> 2 0
#> 3 0
#> 4 0
#> 5 0
#> 6 0
#> 7 0
#> 8 0
#> 9 0
#> 10 0
#> # ... with 22 more rows
Pro: Fits into the pipe thinking.
Cons: Somewhat less common.
Debrief
Counting NAs over all columns of a dataframe is quite a common task. Like always (?) in R, there a multiple ways to achieve it. Some where shown here (more exist). Enjoy!


Product List
Small
A product list that contains only the necessary information, nothing irrelevant is added.
Desserts
Chocolate Cookies
per serving
$25.30
All Natural
Straweberry Salad
per serving
$25.30
Vegan only
Olive Oil Baked Potato
per serving
$25.30
Product List
Medium
A product list that contains all the important information without unecessary details.
Cheesy Hamburger
with Bacon and Ham
Ready in 20 Minutes
$14.75
per servingChicken Crispy
Strips with Fries
Ready in 25 Minutes
$23.44
per servingHouse Special
Classic Crust Pizza
Ready in 43 Minutes
$17.25
per servingProduct List
Large
A product list that contains all the important information with room to add even more.
The Monster
Bacon Hamburger
Grilled Cheese, Fried Onions, Beef and Tomato.
Free Delivery
Ready in 10 min
Extras Available
Per Serving
$24.30
Chicken Breast
Crispy Strips
A classic dish, that goes well on a laid back day.
Free Delivery
Ready in 10 min
Extras Available
Per Serving
$11.35
Fresh Berries
A natural and refreshing desert, always fresh.
Free Delivery
Ready in 10 min
Extras Available
Per Serving


How to transfer content from my old phone
On your old Android phone, download and install the HTC Transfer Tool from the Play Store,and then go to Settings > Get content from another phone on your new phone to transfer contacts, messages, music, photos, videos, and some settings.More types of ...


3D Design
The first photo is the product of my own design. I learned how to use canva and inkscape to create the layout and then save it as a png file. After use the phtotcopy machine to print my logos out. Then use the machine in the second photo to do dye sublimation, printing the logos into the shirt.


|
TrackracerAR
0.9.2
|
Manages the lifecycle of feature points and provides methods to manipulate them. More...
Public Member Functions | |
| FeaturePointsManager (Point3DFactory.Factory _point3DFactory, [Inject(Id="TrackParent")] Transform _trackTransform, [Inject(Id="TrackParent")] LineRenderer _line, SignalBus _signalBus) | |
| void | Initialize () |
| void | Dispose () |
| void | ClearFeaturePoints () |
| Clears all feature points More... | |
| void | InstantiateFeaturePoints (ref Vector3[] featurePoints) |
| Instantiates the feature point game objects More... | |
| void | SetFeaturePointVisibility (bool _visible) |
| Toggles the visibility of the feature points by turning them on and off More... | |
| Vector3[] | GetFeaturePoints () |
| Returns the feature points positions in an array from beginning to end of the track More... | |
| void | UpdateFeaturePoints (ref Vector3[] _featurePoints) |
| Updates the featurepoints positions. if the array sizes don't match (so featurepoints got added or removed), all featurepoints will be cleared and instantiated newly. More... | |
Private Member Functions | |
| void | FeaturePointChanged () |
| Callback for a FeaturePointChanged event. Checks if any feature points get deleted or copied, then updates the line renderer with the new positions. More... | |
Private Attributes | |
| Point3DFactory.Factory | m_point3DFactory |
| Transform | m_trackTransform |
| LineRenderer | m_line |
| SignalBus | m_signalBus |
| List< GameObject > | m_pointGOs |
| List< Point3DView > | m_pointViews |
Manages the lifecycle of feature points and provides methods to manipulate them.
|
inline |
|
inline |
Clears all feature points
Implements IFeaturePointsManager.
|
inline |
|
inlineprivate |
Callback for a FeaturePointChanged event. Checks if any feature points get deleted or copied, then updates the line renderer with the new positions.
|
inline |
Returns the feature points positions in an array from beginning to end of the track
Implements IFeaturePointsManager.
|
inline |
|
inline |
Instantiates the feature point game objects
Implements IFeaturePointsManager.
|
inline |
Toggles the visibility of the feature points by turning them on and off
| _visible |
Implements IFeaturePointsManager.
|
inline |
Updates the featurepoints positions. if the array sizes don't match (so featurepoints got added or removed), all featurepoints will be cleared and instantiated newly.
| _featurePoints | Do nothing if param is null! |
Implements IFeaturePointsManager.
|
private |
|
private |
|
private |
|
private |
|
private |
|
private |


User Login
Username
Password
Remember
Me
Forget Password
Login
Reset
Login
with your social media account
Don't Have An Account?
Register Now


By accessing and using this service, you accept and agree to be bound by
the terms and provision of this agreement. In addition, when using our
sites services, you shall be subject to any posted guidelines or rules
applicable to such services. Any participation in this service will constitute
acceptance of this agreement. If you do not agree to abide by the above,
please do not use this service
Intellectual Property Rights
By submitting any video or other media to 10ball.org. It hereby becomes intellectual
property of 10ball.org and its licensors.


Circuit Details
- OBD-II Interface
- Interface to external CAN Transceiver PHYs
- High-impedance isolation
- Dedicated digital hardware acceleration algorithms for OBD-II diagnostic packet processing
- 1-Wire CAN controller
- 2-Wire CAN controller
- 16-bit sigma-delta ADC
- Level shifters
- On-board temperature sensor
- Power-On-Reset (POR)
- Brown-Out-Detector and Reset (BOR)
- I2C to GPIO expander
- I2C Controller communications link
- 1 Amp buck regulator
- 1.8V linear regulator
- 3.3V, 150mA LDO


Ti.Healthkit.Filter objects allow you to limit the number of objects returned
by queries. Use the createFilterForObjects
, createFilterForObjectsWithNoCorrelation
,
createFilterForSamples
, createFilterForQuantitySamples
, createFilterForCategorySamples
,
or createFilterForWorkouts
function to create filter.
Ti.Healthkit.Filter objects do not have any functions or properties of their own.


Filter by Word
Pick a word on which to filter
Filter by Author
Pick an author on which to filter
Filter by Source
Pick a source on which to filter
Reset to Default Query


NFC Demo - Deutsche Telekom
NFC Tag Reader
Start Tag Discovery
Status
NdefMessage
Action
Make NDEF Tag readonly
Open NDef Write dialog
Tag Eraser
Erase Tag
Erase Tag
Text Tag Writer
Text
Write Text Tag
URI Tag Writer (Smart Poster)
SmartPoster Title
SmartPoster Title Language
URI
Write URI Tag
URI Tag Writer
URI
Write URI Tag
Push URI P2P
URI Tel Tag Writer
URI
Write URI Tel Tag
Push URI P2P
Email Tag Writer (Smart Poster)
SmartPoster Title
SmartPoster Title Language
MailTo:
Subject:
Email Message:
Write Email Tag
Email Tag Writer
MailTo:
Subject:
Email Message:
Write Email Tag
SMS Tag Writer
Phone Number
Message
Write SMS Tag
Contact Tag Writer
Type
Id
First
Last
Middle 1
Middle 2
Email
FullName
Telephone
Mobile
Write Contact Tag


This sample demonstrates how AngularJS directives are used to instantiate igTileManager.
Explore the Code


GenDoc.exe install
- Install
Mocha
test framework globally: mochajs.org
- Open the global
npm
directory, node_modules
subdirectory.
Create "my-mocha-reporter" subdir inside the node_modules
dir.
- Open the
doc/Doc.sln
Visual Studio solution from the doc
repository.
-
Open the
my-mocha-reporter
project properties, select the "Build Events" tab.
On the "Post-build event command line" box update the source and destination pathes on the following manner:
the copy commands must copy 2 files from the my-mocha-reporter
project to the
my-mocha-reporter
npm directory created at step 2.
-
Copy all from
assets
directory from the my-mocha-reporter
project to the
my-mocha-reporter
npm directory created at step 2.
-
Build the
my-mocha-reporter
project. Check the npm my-mocha-reporter
directory,
it should contains the following:
<@codeblock>
node_modules (7 dirs inside)
.npmignore
main.js
package.json
page-test-template.html
Readme.md
@codeblock>
- Update the
settings.xml
file in the GenDoc project.
- Build the
GenDoc
project.
- Run
GenDoc.exe
, check the output directories.


--- layout: archive title: Zulip Chat Archive permalink: /stream/113489-new-members/topic/Weird.20behavior.20of.20rw.3F.html ---
I'm trying to shorten the following proof:
lemma sqr_roots_one (x : ℝ) (p : x ^ 2 = 1) : x = 1 ∨ x = -1 := begin cases le_total x 0, right, rw [neg_eq_iff_neg_eq.1], rw [← sqrt_sqr (neg_le_neg h), pow_two, neg_mul_neg, ← pow_two, p, sqrt_one], left, rw [← sqrt_sqr h, p, sqrt_one], end
But when I try to combine the two adjacent rw tactics into one it doesn't work.
That's because rw [neg_eq_iff_neg_eq.1],
solved your goal, but created a new one. rw [eq_neg_iff_eq_neg],
should allow you to merge the goals.
Incidentally, here's the shortest proof
lemma sqr_roots_one (x : ℝ) (p : x ^ 2 = 1) : x = 1 ∨ x = -1 := by rwa [pow_two, mul_self_eq_one_iff] at p
Lol I feel like I searched for everything except mul_self :oh_no:
lemma sqr_roots_one (x : ℝ) (p : x ^ 2 = 1) : x = 1 ∨ x = -1 := by rwa [←mul_self_eq_one_iff, ←pow_two]
I think this is one area the library isn't entirely consistent. There's a mix of pow_two and mul_self.
For the record I found this way that lets you write the original with a merged rw
:
lemma sqr_roots_one (x : ℝ) (p : x ^ 2 = 1) : x = 1 ∨ x = -1 := begin cases le_total x 0, right, symmetry, rw [neg_eq_iff_neg_eq, ← sqrt_sqr (neg_le_neg h), pow_two, neg_mul_neg, ← pow_two, p, sqrt_one], left, rw [← sqrt_sqr h, p, sqrt_one], end
(Didn't work without symmetry
first because of the way neg_eq_iff_neg_eq
is written)
This is probably a stupid question but how do I prove 2 \neq 0 in \com ?
I noticed there is a theorem two_ne_zero
that sounded promising but doesn't seem to work
I think it's two_ne_zero'
.
Thanks that worked. What is the difference between two_ne_zero
and two_ne_zero'
?
Different typeclass requirements, I guess:
#check @two_ne_zero -- two_ne_zero : ∀ {α : Type u_1} [_inst_1 : linear_ordered_field α], 2 ≠ 0 #check @two_ne_zero' -- two_ne_zero' : ∀ {α : Type u_1} [_inst_1 : add_monoid α] [_inst_2 : has_one α] [_inst_3 : char_zero α], 2 ≠ 0
It's a core thing. Every linear ordered field has characteristic zero, but two_ne_zero
is in core, so it can't be changed, and therefore we need a version for char_zero
as well.
Last updated: Apr 24 2020 at 19:02 UTC


Experiments with Web XR
This is
diorama
created in Unity and exported to the web using Mozilla plugin


Beetroot is an IT company from Sweden with offices around the world. We specialize in building teams of developers and designers from Ukraine, for emerging tech companies and successful start-ups looking to sustainably scale their businesses.


Convicted of a Crime:
{{ @longAnswers['conviction'] }}
Taken NAMI Basics Course:
{{ @longAnswers['taken_basics'] }}
Completed NAMI Family to Family Course:
{{ @longAnswers['taken_f2f'] }}
Parent/caregiver of a child with mental illness symptoms:
{{ @longAnswers['parent'] }}
Age of child:
{{ @longAnswers['child_age'] }}
Child's current diagnosis:
{{ @longAnswers['current_diagnosis'] }}
Length of child's illness:
{{ @longAnswers['length_of_illness'] }}
Child's educational program:
{{ @longAnswers['educational_program'] }}
Child's graduation date:
{{ @longAnswers['grad_date'] }}
Why they want to be a Basics teacher:
{{ @longAnswers['why_want'] }}
Their experience living with a child/adolescent with mental illness:
{{ @longAnswers['child_experiences'] }}
Who they want to coteach with:
{{ @longAnswers['coteach_with'] }}
Where they want to teach at:
{{ @longAnswers['teach_where'] }}


Predicting the Severity of Adverse Drug Reactions
Enter the Drug Smile Below
{# This hidden_tag is a CSRF security feature. #} {{ form.hidden_tag() }} {{ form.drug.label }} {{form.drug}}
{{ form.submit() }}


Welcome to Dental Clinic. We provide a wide range of dentistry services with our latest facilities and experienced staff. In order to provide better service to our patients, the centre has been upgraded with the latest equipment complete with comfortable ambiance specifically for dental specialist services.With our friendly team of Dental Consultants and staffs we offer professional dentistry, caring for both local and international patients. We have highly-skilled dentists whose expertise cover every speciality in dental health, including implantology, endodontics, prosthodontics, periodontics, orthodontics and oral surgery.Your smile is your most important asset – your smile; our signature. Contact us to find out how we can help you achieve a beautiful smile.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Minima maxime quam architecto quo inventore harum ex magni, dicta impedit.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Minima maxime quam architecto quo inventore harum ex magni, dicta impedit.
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Minima maxime quam architecto quo inventore harum ex magni, dicta impedit.


|
Name
|
Type
|
Description
|
| capabilities | VirtualMachineCapability |
Capabilities supported by a virtual machine.
|
| datastore | DatastoreOption |
The datastore options for this virtual machine.
|
| defaultDevice | VirtualDevice[] |
The list of virtual devices that are created on a virtual machine by default.
Clients should not create these devices.
|
| description | xsd:string |
A description string for this configOption.
|
| guestOSDefaultIndex | xsd:int |
Index into guestOsDescriptor array denoting the default guest
operating system.
|
| guestOSDescriptor | GuestOsDescriptor[] |
List of supported guest operating systems.
The choice of guest operating system may limit the set of valid devices.
For example, you cannot select Vmxnet with all guest operating systems.
|
| hardwareOptions | VirtualHardwareOption |
Processor, memory, and virtual device options for a virtual machine.
|
| propertyRelations | VirtualMachinePropertyRelation[] |
The relations between the properties of the virtual
machine config spec.
Since vSphere API 6.7
|
| supportedMonitorType | xsd:string[] |
The monitor types supported by a host. The acceptable monitor types
are enumerated by VirtualMachineFlagInfoMonitorType.
Since VI API 2.5
|
| supportedOvfEnvironmentTransport | xsd:string[] |
Specifies the supported property transports that are
available for the OVF environment
Since vSphere API 4.0
|
| supportedOvfInstallTransport | xsd:string[] |
Specifies the supported transports for the OVF
installation phase.
Since vSphere API 4.0
|
| version | xsd:string |
The version corresponding to this configOption.
|
|
Properties inherited from DynamicData |
| None |


Reading the event definition key of the journey's entry event..
Event Definition Key
Please select the ID (event data column) to pass to the custom split backend.
ID


Ray Class
A line with a start and end point that is used to intersect shapes.
Constructor
Ray
()
Item Index
Methods
Methods
_updateDirection
()
private
Updates the _direction vector.
intersectBodies
-
bodies
-
[result]
Parameters:
-
bodies
ArrayAn array of Body objects.
-
[result]
RaycastResult optionalDeprecated
intersectBody
-
body
-
[result]
Shoot a ray at a body, get back information about the hit.
Parameters:
-
body
Body -
[result]
RaycastResult optionalDeprecated - set the result property of the Ray instead.
intersectPlane
-
shape
-
angle
-
position
-
body
intersectRectangle
-
shape
-
angle
-
position
-
body
intersectShape
-
shape
-
angle
-
position
-
body
intersectWorld
-
world
-
options
Do itersection against all bodies in the given World.
Parameters:
-
world
World -
options
Object
Returns:
True if the ray hit anything, otherwise false.
Properties
_direction
Array
private
callback
Function
Current, user-provided result callback. Will be used if mode is Ray.ALL.
checkCollisionResponse
Boolean
Set to true if you want the Ray to take .collisionResponse flags into account on bodies and shapes.
collisionGroup
Number
Default: -1
collisionMask
Number
Default: -1
from
Array
hasHit
Boolean
Will be set to true during intersectWorld() if the ray hit anything.
mode
Number
The intersection mode. Should be Ray.ANY, Ray.ALL or Ray.CLOSEST.
precision
Number
The precision of the ray. Used when checking parallelity etc.
skipBackfaces
Boolean
If set to true, the ray skips any hits with normal.dot(rayDirection) < 0.


Ember test prescription
An introduction to the basics of unit and acceptance testing in Ember.JS
Here you can find the slides for Ember Meetup talk about Ember.JS unit and acceptance testing
Here you can find the slides for Ember Meetup talk about Ember.JS unit and acceptance testing


| 445 | (A) | and many doughty þat daye þat drede was neuer |
| 447 | (C) | For mony a dowȝty þat daye . þat was neuur a-dradde |
| 444 | (D) | For meny doghty þat day þat were a-drad neuere |
| 443 | (E) | for many dowghty þat day . þat were adrad neuere |
| (Ex) | ---- no text ---- | |
| 460 | (L) | Many douȝti þat day þat was adradde neuere |
| 426 | (P) | And many doghty þat daye þat dred was neuer |
| 441 | (U) | For many doughty that day / that was a dred neuer |
| (V) | ---- no text ---- |


Height is shown on maps by various conventional signs such as spot heights and bench marks, but also by contour lines. Contour lines are continuous lines on maps that join places that are at the same altitude. The patterns that contour lines make represent different landforms. We use these patterns to interpret the relief of the mapped area.
The distance between contour lines tells us about the gradient of slopes: where contour lines are close together, the slopes are steep and where they are far apart, the slopes are gentle.
The difference in height between two successive contours is called the contour interval.


|
| static Mechanization_bRn2 | initializeVector (const std::list< Vector > &U, const std::list< Vector > &F, const double g_e=0, bool flat=false) |
| | Initialize the first Mechanization state. More...
|
| |
|
static Mechanization_bRn2 | initialize (const Matrix &U, const Matrix &F, const double g_e=0, bool flat=false) |
| | Matrix version of initialize.
|
| |
◆ Mechanization_bRn2()
| gtsam::Mechanization_bRn2::Mechanization_bRn2 |
( |
const Rot3 & |
initial_bRn = Rot3() , |
|
|
const Vector3 & |
initial_x_g = Z_3x1 , |
|
|
const Vector3 & |
initial_x_a = Z_3x1 |
|
) |
| |
|
inline |
Constructor.
- Parameters
-
| initial_bRn | initial rotation from nav to body frame |
| initial_x_g | initial gyro bias |
| r3 | Z-axis of rotated frame |
◆ correct()
Correct AHRS full state given error state dx.
- Parameters
-
| obj | The current state |
| dx | The error used to correct and return a new state |
◆ initializeVector()
| Mechanization_bRn2 gtsam::Mechanization_bRn2::initializeVector |
( |
const std::list< Vector > & |
U, |
|
|
const std::list< Vector > & |
F, |
|
|
const double |
g_e = 0 , |
|
|
bool |
flat = false |
|
) |
| |
|
static |
Initialize the first Mechanization state.
- Parameters
-
| U | a list of gyro measurement vectors |
| F | a list of accelerometer measurement vectors |
| g_e | gravity magnitude |
| flat | flag saying whether this is a flat trim init |
◆ integrate()
| Mechanization_bRn2 gtsam::Mechanization_bRn2::integrate |
( |
const Vector3 & |
u, |
|
|
const double |
dt |
|
) |
| const |
Integrate to get new state.
- Parameters
-
| obj | The current state |
| u | gyro measurement to integrate |
| dt | time elapsed since previous state in seconds |
The documentation for this class was generated from the following files:
- /Users/dellaert/git/github/gtsam_unstable/slam/Mechanization_bRn2.h
- /Users/dellaert/git/github/gtsam_unstable/slam/Mechanization_bRn2.cpp


|
| Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |
Properties
| Name | Type | Description |
|---|---|---|
| clusterNetworkPortGroup* | ManagedObjectReference
to a Network |
Name of the portgroup that is associated with the VCHA Cluster IP
address where clients connect to vCenter Server. If a portgroup is not
specified same portgroup present on source is used to deploy the VM
with an assumption that portgroup is present on destination.
|
| datastore* | ManagedObjectReference
to a Datastore |
Datastore used for deploying the VM.
For behavior when a datastore is not specified, See datastore |
| esxHost* | ManagedObjectReference
to a HostSystem |
ESX host on which the VM is to be deployed.
For behavior when an esxHost is not specified, See host |
| folder | ManagedObjectReference
to a Folder |
Folder in which the VM is to be created.
|
| ipSettings | CustomizationIPSettings |
VCHA Cluster network configuration of the node.
All cluster communication (state replication, heartbeat,
cluster messages) happens over this network.
|
| managementVc* | ServiceLocator |
Management vCenter Server managing this VM.
If the managementVc is not specified, managementVc specified as
part of SourceNodeSpec is used.
|
| nodeName | xsd:string |
nodeName here refers to a name that will be assigned to the VM to which
this node will be deployed to.
|
| publicNetworkPortGroup* | ManagedObjectReference
to a Network |
Name of the portgroup that is associated with the public IP address
where clients connect to vCenter Server. If a portgroup is not
specified same portgroup present on source is used to deploy the VM
with an assumption that portgroup is present on destination.
|
| resourcePool* | ManagedObjectReference
to a ResourcePool |
ResourcePool that will be used to deploy this node.
If the ResourcePool is not specified, the root resource pool for the
host will be used.
|
| Properties inherited from DynamicData | ||
| None |
| Top of page | Local Properties | ||
| Managed Object Types | Data Object Types | All Properties | All Methods |


Welcome! سلام!
This website contains a series of lessons on the Arabic alphabet, originally developed by Ahmad. Navid edited, arranged, and compiled the lessons into the format of a website.  You may do one chapter per day, or less or more as you wish.
There are a set of PDF slides which go along with the lessons. Please click on the "Slides" link at left to access them. Additionally, there is a chart which shows how the shape of the letters changes depending on their position within a word. You may access this via the "Shape Chart" link. Finally, if you wish to hear the pronunciation of the different letters, there are many videos on YouTube. Best of luck in your learning.
Ollie Hoolachan


South Dakota Spends Nearly $500,000 on Anti-Meth Ad Campaign With Tagline “Meth – We’re On it”
Yes, really.
by Paul Joseph WatsonSouth Dakota’s Department of Social Services has spent nearly half a million dollars on an anti-meth ad campaign with the tagline “Meth. We’re On It.”
No, this is not The Onion.
“The campaign’s motto features the phrase, “Meth. We’re on it,” over an outline of South Dakota, and the ad and posters feature people of differing in ages and races saying, “I’m on meth,” reports the Argus Leader.
A video shows Governor Kristi Noem telling the camera, “I’m on meth,” before she explains that “on it” means “on the case of meth.”
TV ads, posters, billboards and a website will feature the motto at a cost of $449,000 that was paid to Broadhead Co., a marketing and ad agency in Minneapolis.
The outlay compares with $1 million which has been set aside for meth treatment services and more than $730,000 for school-based meth prevention programming.
Social Services Secretary Laurie Gill called the campaign “inclusive and empowering,” but respondents on Twitter were not so enthusiastic.
“Apparently no one thought this through,” commented one.
“It’s so bad and I know it’s a serious issue but WHO APPROVED THIS?” asked another.
One respondent said they were aware that the tagline was meant to apply to meth addicts being refreshingly honest, “But having a clip of your governor saying I’m on meth is not exactly genius marketing.”
SUBSCRIBE on YouTube:


-- Welcome to Questioner. Ready to engage in some mind blowin discussions ? ... checkout latest meetups here --


Syntax:
with-standard-io-syntax form* => result*
Arguments and Values:
forms---an implicit progn.
results---the values returned by the forms.
Description:
Within the dynamic extent of the body of forms, all reader/printer control variables, including any implementation-defined ones not specified by this standard, are bound to values that produce standard read/print behavior. The values for the variables specified by this standard are listed in the next figure.
Variable Value *package* The CL-USER package *print-array* t *print-base* 10 *print-case* :upcase *print-circle* nil *print-escape* t *print-gensym* t *print-length* nil *print-level* nil *print-lines* nil *print-miser-width* nil *print-pprint-dispatch* The standard pprint dispatch table *print-pretty* nil *print-radix* nil *print-readably* t *print-right-margin* nil *read-base* 10 *read-default-float-format* single-float *read-eval* t *read-suppress* nil *readtable* The standard readtable
Figure 23-1. Values of standard control variables
Examples:
(with-open-file (file pathname :direction :output) (with-standard-io-syntax (print data file))) ;;; ... Later, in another Lisp: (with-open-file (file pathname :direction :input) (with-standard-io-syntax (setq data (read file))))
Affected By: None.
Exceptional Situations: None.
See Also: None.
Notes: None.


Windows 10 Testbed
Warning: This app provides unrestricted access to the WinRT surface and should be used for development purposes only. Do not put in the Address of a resource you do not own.
Go!
Warning: This app provides unrestricted access to the WinRT surface and should be used for development purposes only. Do not put in the Address of a resource you do not own.


Hot Tub... Heat Machine?
by Matt
Tasha and I had been planning on putting a hot tub in the greenhouse since before we had a greenhouse. We had always intended it to be a source of heat during the winter, but more importantly, as a means to soothe away the aches and pains of a hard day’s work on the farm.
When finally our long-awaited hot tub did arrive a couple weeks ago, I had to wait another week to assemble it becuase they sent us the wrong size hoop rings…Grrr!
Getting the tub assembled was a bit tricky, and after a couple of tries at standing up the staves, the best I could do was a slightly lopsided arrangement where one side inevitably ended up with a row of staves with a 1/16 inch gap between them. On my third or fourth try I finally let it go. Then it was on to the chimney…
Running a chimney through a polycarbonate greenhouse roof proved to be a little bit of a challenge. It was easy enough to cut a hole in the roof panels, but the chimney would have to be insulated in order not to melt the roof where it passed through. For this, I bought an insulated chimney section and ran it through a pre-built flashing box, which I also bought at Lowe’s.
In order to make this work and get a reasonable clearance of the stove pipe over the greenhouse, I bought more stove pipe to cut to length–about 14 inches–between the wood stove and the chimney insert running through the greenhouse roof. Where the top of the chimney insert passed through the flashing box, I adjoined the six feet of heavy gauge-stainless steel stove pipe that came with our hot tub.
This got some nice clearance–to code, and then some–over the greenhouse roof, but it also added about a hundred pounds of weight between the chimney insert and the top of the stove pipe. We live in a high-wind area, so seven feet of stove pipe can be a liability if not properly anchored.
For this, I screwed some sheet-metal strap to the ridgepole of the greenhouse roof, stabilizing the smokestack in one direction. In the other direction, I sank some metal stakes into the ground and ran guy wires. So that took care of lateral stability, but I still had a lot of weight coming down onto a narrow-gauge pipe that connected the stove to the chimney, and this was worrying me, since I didn’t really have any framing members I could anchor the chimney insert to.
To make things even more difficult, the aluminum wood stove that sits submerged in the tub comes with a stainless steel cover that is designed to be anchored to the tub rim about 10 inches above the stove top, but not to support any serious downward weght. To fix this, I built a platform out of angle iron that our solar installation contractors had left lying around, and I got to use our recently purchased angle grinder and drill press in the process. The otherwise flimsy sheet of stainless steel now had some support under it.
That gave me a bomb-proof platform on which to build a a lighter but similarly designed frame to take the weight of the chimney insert and stovepipe. I built this with a couple pieces of flat and angled aluminum stock that I picked up at Lowe’s, again using the drill press and angle grinder. All of this could have probably been accomplished with a few good welds, from the chimney insert to the aluminum greenhouse frame, but I don’t yet have those skills. Anyway, this worked out for us, though it took some thinking about.
When finally it came time to fill the hot tub, we couldn’t because the water would run out through the gaps in the staves as fast as we could fill it. What to do?
I looked at the (very poorly written and illustrated) manual for some troubleshooting advice and came upon this gem: Throw in a handful of sawdust. This is supposedly an old tub-builder’s trick that apparently works by creating a temporary seal between the staves, which enables the tub to hold water long enough for the cedar staves to swell and shrink any gaps between staves. Well, this is what I did and after a few hours, I was surprised to see the tub holding almost 400 gallons of water.
At that point, we were able to heat the water, thus increasing the swelling of the wood. The next day I was even more surprised to see the level of the water just barely decreased, with hardly any discernible leaks. After a week, the tub is still water-tight, and has so far provided us with several good soaks.
Tasha moved the pile of cardboard that was sitting in the other corner of the greenhouse and put down some pea gravel, which keeps the area from getting muddy when people get out of the tub and adds a lot more visual appeal. She added a couple solar lights, moved our table around to give us a nice place to sit between using the tub, and now we have a place to stack wood too.
As far as heating the greenhouse goes, it seems to be contributing somewhat. The water the next day after using it only loses about 5 degrees overnight. I’ve read several places that keeping a couple 55-gallon barrels full of water acts as a heat sink and helps to stabilize the daytime/nighttime temperature differences. So we’ll see. So far, we’re definitely enjoying it for its primary intended use.
Subscribe via RSS


All samples are using Ink.requireModules
, please read how to use it at Ink.requireModules section
| Function name | Description |
|---|---|
| .escape(c) | Escapes a unicode character. |
| .escapeText(txt, [whiteList]) | Escapes unicode characters in a string as unicode character entities (\x## , where the ## are hex digits). |
| .evalJSON(strJSON, sanitize) | Eval a JSON - We recommend you Ink.Util.Json |
| .htmlEntitiesDecode(string) | Decodes string from HTML entities. |
| .htmlEntitiesEncode(string) | Encodes string into HTML entities. |
| .htmlEscapeUnsafe(str) | Escapes unsafe html chars as HTML entities |
| .isJSON(str) | Checks if a string is a valid JSON object (string encoded) |
| .normalizeWhitespace(str) | Normalizes whitespace in string. |
| .packetize(str, maxLen) | Splits a string into smaller chunks |
| .removeAccentedChars(string) | Removes all accented characters from a string. |
| .shortString(str, n) | Truncates a string without breaking words. Inserts an ellipsis HTML entity at the end of the string if it's too long. |
| .strcmp(str1, str2) | Compares two strings. |
| .stripTags(string, allowed) | Strips HTML tags from strings |
| .substrCount(haystack, needle) | Count the number of occurrences of a specific needle in a haystack |
| .toUnicode(str) | Converts string to unicode. |
| .trim(string) | Trims whitespace from strings |
| .truncateString(str, length) | Truncates a string, breaking words and adding ... at the end. |
| .ucFirst(string, [firstWordOnly]) | Capitalizes a word. |
| .unescape(es) | Unescapes a unicode character escape sequence |
| .unescapeText(txt) | Removes unicode entities (in the format "\x##" or "\u####", where "#" is a hexadecimal digit) |
| .utf8Decode(string) | Decodes a string from UTF-8. |
| .utf8Encode(string) | Encode a string to UTF-8. |
| Property name | Description |
|---|---|
| .escapedCharRegex | Regex to check escaped strings |
Escapes a unicode character.
c
Character to escapeEscapes unicode characters in a string as unicode character entities (\x##
, where the ##
are hex digits).
txt
String with characters outside the ASCII printable range (32 < charCode < 127)whiteList
Whitelist of characters which should NOT be escapedEval a JSON - We recommend you Ink.Util.Json
strJSON
JSON string to evalsanitize
Flag to sanitize inputDecodes string from HTML entities.
string
String to be decodedEncodes string into HTML entities.
string
Input string.Escapes unsafe html chars as HTML entities
str
String to escapeChecks if a string is a valid JSON object (string encoded)
str
String to checkNormalizes whitespace in string.
String is trimmed and sequences of whitespaces are collapsed.
str
String to normalizeSplits a string into smaller chunks
str
String to dividemaxLen
Maximum chunk size (in characters)Removes all accented characters from a string.
string
String to remove accents fromTruncates a string without breaking words. Inserts an ellipsis HTML entity at the end of the string if it's too long.
str
String to truncaten
Number of chars of the short stringCompares two strings.
str1
First Stringstr2
Second StringStrips HTML tags from strings
string
String to strip tags from.allowed
Comma separated list of allowed tags.Count the number of occurrences of a specific needle in a haystack
haystack
String to search inneedle
String to search forConverts string to unicode.
str
String to convertTrims whitespace from strings
string
String to be trimmedTruncates a string, breaking words and adding ... at the end.
str
String to truncatelength
Limit for the returned string, ellipsis included.Capitalizes a word.
If param as more than one word, it converts first letter of all words that have more than 2 letters
string
String to capitalize.firstWordOnly
falseFlag to capitalize only the first word.Unescapes a unicode character escape sequence
es
Escape sequenceRemoves unicode entities (in the format "\x##" or "\u####", where "#" is a hexadecimal digit)
txt
Text you intend to remove unicode character entities.Decodes a string from UTF-8.
string
String to be decodedEncode a string to UTF-8.
string
String to be encodedRegex
Regex to check escaped strings


There are many different kinds of plays. A musical is one type of play. In a musical, there are some spoken words, but much of the play is in song. An actor in a musical has to focus on singing and dancing as well as acting. Many actors in a musical have a singing or dancing specialty. When rehearsing for a musical, the entire cast has to follow a rigid schedule. They cannot get behind in learning the songs or dances or the show may not open in time. Even the actorswith minor parts have to rehearse a lot. When a show begins, the actors cannot be distracted by the audience. They must always focus. Being in a musical can be very rewarding but is a lot of hard work.
in-context


Shapes contained in a given attribute
Group name or object name
Face offset of this shape (starting point)
Length of this shape (ending point)


logger = logging.getLogger(__name__)
COMMANDS = OrderedDict(
[("quantize", quantize), ("run", run), ("swa", swa), ("trace", trace)]
)
if SETTINGS.IS_OPTUNA_AVAILABLE:
COMMANDS["init"] = init
except ImportError as ex:
if SETTINGS.ml_required:
logger.warning(
"catalyst[ml] requirements are not available, to install them,"
" run `pip install catalyst[ml]`."
)
raise ex
COMMANDS = OrderedDict(sorted(COMMANDS.items()))
def build_parser() -> ArgumentParser:


Home
Default title
Title
Course
--Please choose a Course--
Category
--Please choose a Category--
Serving Size
Prep Time
Cook Time
Direction
Create


Differential abundance analysis with gneiss¶
Note
This guide assumes you have installed QIIME 2 using one of the procedures in the install documents and completed the moving pictures tutorial.
In this tutorial you will learn how to perform differential abundance analysis using balances in gneiss. The main problem that we will focus on is how to identify differentially abundant taxa in a compositionally coherent way.
Compositionality refers to the issue of dealing with proportions. To account for differences in sequencing depth, microbial abundances are typically interpreted as proportions (e.g. relative abundance). Because of this, it becomes challenging to infer exactly which microbes are changing – since proportions add to one, the change of a single microbe will also change the proportions of the remaining microbes.
Consider the following example:
On the left, we have the true abundances of ten species, and the first species doubles between Time point 1 and Time point 2. When we normalize these to proportions, it appears as if all of the species have changed between the two time points. Looking at proportions alone, we would never realize this problem, and we actually cannot exactly determine which species are changing based on proportions alone.
While we cannot exactly solve the problem of identifying differentially abundant species, we can relax this problem and ask which partitions of microbes are changing. In the case above, if we compute the ratio between the first species and the second species, that ratio will be 1:1 at Time point 1, and 2:1 at Time point 2 for both the original abundances and the proportions. This is the type of question that balances try to solve. Rather than focusing on individual taxa, we can focus on the ratio between taxa (or groups of taxa), since these ratios are consist between the true abundances and the observed proportions of the species observed. We typically log transform these ratios for improved visualization (‘log ratios’). The concept of calculating balances (or ratios) for multiple species can be extended to trees as shown in the following example.
On the left, we define a tree, where each of the tips corresponds to a taxon, and underneath are the proportions of each taxon in the first sample. The internal nodes (i.e. balances) define the log ratio between the taxa underneath. On the right is the same tree, and underneath are the proportions of each taxa in a different sample. Only one of the taxa abundances changes. As we have observed before, the proportions of all of the taxa will change, but looking at the balances, only the balances containing the purple taxa will change. In this case, balance \(b_3\) won’t change, since it only considers the ratio between the red and taxa. By looking at balances instead proportions, we can eliminate some of the variance by restricting observations to only focus on the taxa within a given balance.
The outstanding question here is, how do we construct a balance tree to control for the variation, and identify interesting differentially abundant partitions of taxa? In gneiss, there are three main ways that this can be done:
Correlation clustering. If we don’t have relevant prior information about how to cluster together organisms, we can group together organisms based on how often they co-occur with each other. This is available in the
correlation-clustering
command and creates tree input forilr-hierarchical
.Gradient clustering. Use a metadata category to cluster taxa found in similar sample types. For example, if we want to evaluate if pH is a driving factor, we can cluster according to the pH that the taxa are observed in, and observe whether the ratios of low-pH organisms to high-pH organisms change as the pH changes. This is available in the
gradient-clustering
command and creates tree input forilr-hierarchical
.Phylogenetic analysis. A phylogenetic tree (e.g.
rooted-tree.qza
) created outside of gneiss can also be used. In this case you can use your phylogenetic tree as input forilr-phylogenetic
.
Once we have a tree, we can calculate balances using the following equation:
where \(i\) represents the \(i^{th}\) internal node in the tree, \(g(x)\) represents the geometric mean within set \(x\), and \(x_r\) represents the set of taxa abundances in the numerator of the balance, \(x_s\) represents the set of taxa abundances in the denominator of the balance, and \(r\) and \(s\) represents the number of taxa within \(x_r\) and \(x_s\) respectively.
After the balances are calculated, standard statistical procedures such as ANOVA and linear regression can be performed. We will demonstrate running these procedures using the Chronic Fatigue Syndrome dataset.
Creating balances¶
In the Chronic Fatigue Syndrome dataset published in Giloteaux et al (2016), there are 87 individuals with 48 diseased patients and 39 healthy controls. The data used in this tutorial were sequenced on an Illumina MiSeq using the Earth Microbiome Project hypervariable region 4 (V4) 16S rRNA sequencing protocol.
Before beginning this tutorial, create a new directory and change to that directory.
mkdir qiime2-chronic-fatigue-syndrome-tutorial
cd qiime2-chronic-fatigue-syndrome-tutorial
The datasets required for this tutorial can be found below (to learn how these would be generated, see the moving pictures tutorial).
Download URL: https://data.qiime2.org/2020.2/tutorials/gneiss/sample-metadata.tsv
Save as: sample-metadata.tsv
wget \
-O "sample-metadata.tsv" \
"https://data.qiime2.org/2020.2/tutorials/gneiss/sample-metadata.tsv"
curl -sL \
"https://data.qiime2.org/2020.2/tutorials/gneiss/sample-metadata.tsv" > \
"sample-metadata.tsv"
Download URL: https://data.qiime2.org/2020.2/tutorials/gneiss/table.qza
Save as: table.qza
wget \
-O "table.qza" \
"https://data.qiime2.org/2020.2/tutorials/gneiss/table.qza"
curl -sL \
"https://data.qiime2.org/2020.2/tutorials/gneiss/table.qza" > \
"table.qza"
Download URL: https://data.qiime2.org/2020.2/tutorials/gneiss/taxa.qza
Save as: taxa.qza
wget \
-O "taxa.qza" \
"https://data.qiime2.org/2020.2/tutorials/gneiss/taxa.qza"
curl -sL \
"https://data.qiime2.org/2020.2/tutorials/gneiss/taxa.qza" > \
"taxa.qza"
First, we will define partitions of microbes for which we want to construct balances. Again, there are multiple possible ways to construct a tree (i.e. hierarchy) which defines the partition of microbes (balances) for which we want to construct balances. We will show examples of both correlation-clustering
and gradient-clustering
on this dataset.
Note that the differential abundance techniques that we will be running will utilize log ratio transforms. Since it is not possible to take the logarithm of zero, both clustering methods below include a default pseudocount parameter. This replaces all zeroes in the table with a 1, so that we can apply logarithms on this transformed table.
The input table is the raw count table (FeatureTable[Frequency]).
Option 1: Correlation-clustering¶
This option should be your default option. We will employ unsupervised clustering via Ward’s hierarchical clustering to obtain Principal Balances. In essence, this will define the partitions of microbes that commonly co-occur with each other using Ward hierarchical clustering, which is defined by the following metric.
Where \(x\) and \(y\) represent the proportions of two microbes across all of the samples. If two microbes are highly correlated, then this quantity will shrink close to zero. Ward hierarchical cluster will then use this distance metric to iteratively cluster together groups of microbes that are correlated with each other. In the end, the tree that we obtain will highlight the high level structure and identify any blocks within in the data.
qiime gneiss correlation-clustering \
--i-table table.qza \
--o-clustering hierarchy.qza
Option 2: Gradient-clustering¶
An alternative to correlation-clustering
is to create a tree based on a numeric metadata category. With gradient-clustering
, we can group taxa that occur in similar ranges of a metadata category. In this example, we will create a tree (hierarchy) using the metadata category Age. Note that the metadata category can have no missing variables, and must be numeric.
qiime gneiss gradient-clustering \
--i-table table.qza \
--m-gradient-file sample-metadata.tsv \
--m-gradient-column Age \
--o-clustering gradient-hierarchy.qza
An important consideration for downstream analyses is the problem of overfitting. When using gradient-clustering
, you are creating a tree to best highlight compositional differences along the metadata category of your choice, and it is possible to get false positives. Use gradient-clustering
with caution.
We will visualize the hierarchy (Option 1, above) on a heatmap to see which groups of taxa they represent. By default, the values within the feature table are log-scaled, with the sample means centered around zero.
qiime gneiss dendrogram-heatmap \
--i-table table.qza \
--i-tree hierarchy.qza \
--m-metadata-file sample-metadata.tsv \
--m-metadata-column Subject \
--p-color-map seismic \
--o-visualization heatmap.qzv
As noted in the legend, the numerators for each balance are highlighted in light red, while the denominators are highlighted in dark red. From here, we can see that the denominator of \(y0\) has few OTUs compared to the numerator of \(y0\). These taxa in the denominator could be interesting, so let’s investigate the taxonomies making up this balance with balance_taxonomy
.
Conclusion¶
Remember, based on the toy examples given in the beginning of this tutorial, it is not possible to infer absolute changes of microbes in a given sample. Balances will not be able to provide this sort of answer, but it can limit the number of possible scenarios. Specifically, one of the five following scenarios could have happened.
The taxa in the \(y0_{numerator}\) on average have increased between patient group and the healthy control.
The taxa in the \(y0_{denominator}\) on average have decreased between patient group and the healthy control.
A combination of the above occurred
Taxa abundances in both \(y0_{numerator}\) and \(y0_{denominator}\) both increased, but taxa abundances in \(y0_{numerator}\) increased more compared to \(y0_{denominator}\)
Taxa abundances in both \(y0_{numerator}\) and \(y0_{denominator}\) both decreased, but taxa abundances in \(y0_{denominator}\) increased more compared to \(y0_{numerator}\)
To further narrow down these hypothesis, biological prior knowledge or experimental validation will be required.


Similar to showing Disqus after a click, load the Disqus Universal Code into a sidebar that is hidden by default until the user interacts with it.


MALICIOUS (1995) A "Turkey of the Week" film review by Justin Felix Copyright 1998 Justin Felix
Rating: ** (out of five)
Written by George Saunders. Directed by Ian Corson. Starring Molly Ringwald, John Vernon, Mimi Kuzyk. Rated R (contains nudity, violence, and profanity) 92 mins.
Synopsis: Melissa, a mentally-disturbed woman who likes to smoke, seduces Doug, a minor-league baseball player who likes to study anatomy, work on motorcycles, and make out with his girlfriend in a public library. When Doug decides to stop seeing her, Melissa maliciously takes revenge on those around him, including his girlfriend, his mother, and his cat.
Comments: MALICIOUS, I suppose, is an acceptable moview for what it is: a cheap, B-movie thriller which rips off dozens and dozens of spurned-psycho-lover-who-wants-revenge films (like FATAL ATTRACTION, HAND THAT ROCKS THE CRADLE, etc. etc.) that have come before it. MALICIOUS, however, really doesn't provide very many particularly suspenseful moments. The plot starts off energetically enough, the main characters are introduced and the affair between Doug and Melissa begins and ends pretty early on in the film. It starts to drag, unfortunately, after this. Melissa will obviously try to take her revenge on Doug (as always seems to happen in movies like these), but she does so in unimaginative ways that have been done in other, better thrillers before. She drugs someone. She kills a family pet and leaves it in the girlfriend's apartment. And, of course, she stalks, so we see a number of shots, which are supposed to be suspenseful, where she's spying on Doug and his girlfriend. I won't reveal the ludicrous ending to this turkey, but I warn you that it's both painfully obvious and a real yawner.
John Vernon does a remarkably good job at playing the not-so-bright baseball jock who initially gets swept away by Melissa (one of the script's faults is to try to pass off a character like this as a pre-med student). The same cannot be said, though, for Molly Ringwald.  At other times, however, she just seems somehow goofy and out of place.  She delivers the line so ridiculously that one can't help but laugh.
MALICIOUS certainly isn't the worst thriller of its kind out in the video racks (a number of really fat turkies in this genre are out there), but it isn't all that good or original either. Feel free to treat this film maliciously, watch something else.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Arcuri says she had 'very special relationship' with UK's Johnson
LONDON (Reuters) - U.S. businesswoman Jennifer Arcuri said on Monday that she had “a very special relationship” with Prime Minister Boris Johnson while he was mayor of London but declined to say if it amounted to an affair.
When asked by ITV if she had an affair with Johnson, Arcuri said: “I’m not going to answer that question but as you can tell there was a very special relationship there.”
She said she had called PM Johnson a week ago on his mobile phone and that he answered but then the phone was taken by a man who spoke with a Chinese accent.
The Sunday Times reported in September that when Johnson was mayor he failed to declare close personal links to Arcuri, who received thousands of pounds in public business funding and places on official trade trips.
Johnson has said everything was done with full propriety and that there was no interest to declare, and a government audit report last month ruled a decision to award a 100,000 pound ($127,960) grant to a company run by Arcuri was appropriate.


script src="https://cdnjs.cloudflare.com/ajax/libs/Chart.js/2.8.0/Chart.min.js">
Data
DEFAULT
×
Select datasets this driving question applies to:
Life, Death, Populations
Populations
Population Female %
Population Female % at Birth
Life Expectancy - Continents
Median Age
Births
Births Per Woman
Births Per 1000 People
Child Deaths
Child Mortality Rates
Survival Rate to Age 65 - Male
Survival Rate to Age 65 - Female
Military
Military Personnel
Military Personnel % Population
Military Spending
Military Spending % GDP
Economies
GDP
GDP Per Capita
Economic Freedom Scores
Environment
CO2 Emissions
CO2 Emissions Per Capita
CO2 Emissions %
CO2 Emissions Cumulative
CO2 Emissions Cumulative %
Choose a Driving Question:
Select Driving Question
How do rates of population growth among countries in the same region/continent compare? What explains observed differences?
What accounts for sharp increases or decreases in military spending? Do increases in military spending seem to be cause, consequence, or deterrent of violent conflict?
Is there a consistent relationship between child mortality rates and births per women? What explains consistencies and inconsistencies in this relationship across countries?
How do CO2 emissions per capita compare among countries? What are the implications of similarities/differences for national/international policymaking?
OR
Driving Question:
Graph 1:
Database (y-axis):
Location:
Year Range (x-axis):
Graph type:
line
bar
Color:
SUBMIT
Graph 2:
Database (y-axis):
Location:
Year Range (x-axis):
Graph type:
line
bar
Color:
SUBMIT
Light
OR
Dark
Graphs
SAVE GRAPH 1 (drag & drop)
EXPORT
SAVE GRAPH 2 (drag & drop)
EXPORT
Saved
Add Notes
x
delete
⇄
transfer (drag & drop)
x
delete
⇄
transfer (drag & drop)
x
delete
⇄
transfer (drag & drop)
x
delete
⇄
transfer (drag & drop)
x
delete
⇄
transfer (drag & drop)
x
delete
⇄
transfer (drag & drop)
x
delete
⇄
transfer (drag & drop)
x
delete
⇄
transfer (drag & drop)
x
delete
⇄
transfer (drag & drop)
x
delete
⇄
transfer (drag & drop)
Notes
EXPORT NOTE


The set of supported fonts varies between different
implementations of the Java platform. For the terminology used, see the
Font
class description.
The JRE supports TrueType and PostScript Type 1 fonts.
Physical fonts need to be installed in locations known to the
Java runtime environment. The JRE looks
in two locations: the lib/fonts
directory within the
JRE itself, and the normal font location(s) defined by the host
operating system. If fonts with the same name exist in both
locations, the one in the lib/fonts
directory is
used.
Users can add physical fonts that use a supported font
technology by installing them either in the lib/fonts
directory within the JRE, or by installing them in a way supported
by the host operating system. The recommended location to add
per-user fonts on Solaris or Linux is the $HOME/.fonts
directory which is searched by the platform's libfontconfig,
and which is in turn used by the JDK.
Logical font names are mapped to physical fonts in implementation dependent ways. Typically one logical font name maps to several physical fonts in order to cover a large range of characters. The JRE uses font configuration files to define the mapping.
Users can add a physical font as a fallback font to logical
fonts used in Java 2D rendering by installing it in the
lib/fonts/fallback
directory within the JRE.
The JDK and the JRE bundle several physical fonts of the "Lucida" design family. These fonts are also licensed for use in other implementations of the Java Platform. These fonts are physical fonts, but since they come with the Java SE Runtime, they don't depend on the host operating system. Using them provides the benefit of a consistent look and feel across platforms and implementations for a large set of languages.
There are three different type families: "Lucida
Sans"
, "Lucida Sans Typewriter"
,
and"Lucida Bright"
. Each family has plain, bold,
italic, and bold-italic styles. Not all of these are present in all
Java SE implementations. For example, the default download bundle
of the JRE for Windows only contains the
Lucida Sans plain font (but note that application developers can
include all Lucida fonts with a Java runtime environment that they redistribute with an
application).
The following table shows which Unicode character blocks are covered by each font family:
|
Unicode Block |
Lucida Sans |
Lucida Sans Typewriter |
Lucida Bright |
|---|---|---|---|
|
Basic Latin |
yes |
yes |
yes |
|
Latin-1 Supplement |
yes |
yes |
yes |
|
Latin Extended-A |
yes |
yes |
yes |
|
Latin Extended-B |
partial |
partial |
partial |
|
IPA Extensions |
partial |
no |
no |
|
Spacing Modifier Letter |
partial |
partial |
partial |
|
Combining Diacritical Marks |
partial |
no |
partial |
|
Greek |
yes |
yes |
yes |
|
Cyrillic |
partial |
partial |
partial |
|
Hebrew |
yes |
yes |
no |
|
Arabic |
partial |
partial |
partial |
|
Devanagari |
yes |
no |
no |
|
Thai |
yes |
yes |
no |
|
General Punctuation |
partial |
partial |
partial |
|
Superscripts and Subscripts |
partial |
partial |
partial |
|
Currency Symbols |
partial |
partial |
partial |
|
Letterlike Symbols |
partial |
partial |
partial |
|
Number Forms |
partial |
partial |
no |
|
Arrows |
partial |
partial |
partial |
|
Mathematical Operators |
yes |
partial |
yes |
|
Enclosed Alphanumerics |
partial |
no |
no |
|
Box Drawings |
partial |
partial |
no |
|
Block Elements |
partial |
partial |
no |
|
Geometric Shapes |
partial |
partial |
partial |
|
Miscellaneous Symbols |
partial |
partial |
no |
|
Dingbats |
yes |
no |
no |
|
Alphabetic Presentation Forms |
partial |
partial |
no |
|
Arabic Presentation Forms-A |
partial |
partial |
partial |
|
Arabic Presentation Forms-B |
yes |
yes |
yes |
Note that of the writing systems that are generally fully supported by the JRE, the Lucida fonts do not support Chinese (Simplified), Chinese (Traditional), Japanese, and Korean. (See JDK 8 and JRE 8 Supported Locales.)
The fonts are installed in the Java SE Runtime Environment's
lib/fonts
directory as the following files (not all of
them may be present):
LucidaSansDemiBold.ttf LucidaSansRegular.ttf LucidaTypewriterBold.ttf LucidaTypewriterRegular.ttf LucidaBrightDemiBold.ttf LucidaBrightDemiItalic.ttf LucidaBrightItalic.ttf LucidaBrightRegular.ttf


|
DashingPlatforms
1.0
|
Public Member Functions | |
| LogProcessor () | |
| virtual | ~LogProcessor () |
| int | initialize (OutputModeType outputMode, char *logFile, int numberKeptLogFiles, int sizeKeptLogFiles) |
| void | processLogs () |
Static Public Member Functions | |
| static void | catchShutdownSignal () |
| LogProcessor::LogProcessor | ( | ) |
Constructor
Referenced by processLogs().
|
virtual |
Virtual Destructor
|
static |
Catch the shutdown signal and begin the graceful shutdown
References LoggerSMQueue::dequeueLog(), and LoggerSMQueue::isEmpty().
Referenced by initialize().
| int LogProcessor::initialize | ( | OutputModeType | outputMode, |
| char * | logFile, | ||
| int | numberKeptLogFiles, | ||
| int | sizeKeptLogFiles | ||
| ) |
Initialize the Log Processor.
| outputMode | to file, stdout/err, or syslog |
| logFile | the filename if -f file output mode is selected |
| numberKeptLogFiles | number of log files to preserve during rollover (for -f file mode only) |
| sizeKeptLogFiles | size of each log file to allow prior to rollover (for -f file mode only) |
References catchShutdownSignal(), and LoggerSMQueue::setupQueue().
Referenced by processLogs().
| void LogProcessor::processLogs | ( | ) |
Start the log processing loop. This method blocks forever.
References LoggerSMQueue::dequeueLog(), LoggerCommon::formatLogMessage(), initialize(), LoggerSMQueue::isEmpty(), LogProcessor(), processLogs(), LogMessage::severityLevel, and LoggerCommon::wrapFormattedLogText().
Referenced by processLogs().


Invalid username and password.
You have been logged out.
Please sign in
User Name
Password
Remember me
Sign in


--- layout: post title: Friends running sick date: 2006-01-30 10:39:00.000000000 +11:00 type: post published: true status: publish categories: [] tags: [] meta: lj_itemid: '2' lj_permalink: http://jus4kix.livejournal.com/694.html author: login: ajaysusarla email<EMAIL_ADDRESS>display_name: partha first_name: '' last_name: '' ---
I guess the illness season is here again. I have a few of my friends falling prey to it. fell sick on firday, and then jason. And now . Get well soon guys.


nlpUser
A nlp user is allowed to qualify and search sentences, but not to update applications or builds.


{% extends 'layout.html' %} {% block pageTitle %} Content page example - NHS.UK prototype kit {% endblock %} {% block content %}
An NHS number is a 10 digit number, like<PHONE_NUMBER>.
You can find your NHS number on any document sent to you by the NHS. This may include:
Ask your GP practice for help if you can't find your NHS number.


Kento Momota withdraws from Hong Kong Open
HONG KONG – World No. 1 Kento Momota unexpectedly withdrew from the Hong Kong Open on Tuesday without playing a match, leaving Indian challenger Kidambi Srikanth to advance to the second round.
The shock departure comes only a few days after the 24-year-old beat Taiwan’s world No. 2 Chou Tien-chen to claim his 10th title of the year at the Fuzhou China Open, seemingly on an unstoppable path to 2020 Olympic glory.
Momota and Srikanth — who have played each other 15 times, with the current world No. 1 winning 12 matches — were set to clash on Wednesday, but there was no indication why he had withdrawn from his first match.
Srikanth will now face either compatriot Sourabh Verma or Frenchman Brice Leverdez to reach the quarterfinal.
The 26-year-old has been on mixed form after crashing out of the Denmark Open in October.
Momota, with over 300 wins under his belt, saw his career descend into controversy in 2016 when he was suspended for more than a year for visiting an illegal casino and was denied a spot at the 2016 Rio Olympics.
The star, who was the world’s second-ranked player at the time, has since worked his way back to the top and his win in China had raised his Olympic hopes a year ahead of the Tokyo Games.
This year alone he claimed Japan’s first All England men’s series title in March, retaining the Japan Open — which also doubled as a test event for the 2020 Olympics — before triumphing at the Victor China Open, the Korea Open and the Denmark Open.
GET THE BEST OF THE JAPAN TIMES
IN FIVE EASY PIECES WITH TAKE 5
JOIN THE CONVERSATION


We create beautiful websites and build clever tech applications for people trying to make the world a better place.
-
Bespoke solutions
Sometimes only a bespoke solution will do, and that's fine too. Our custom software engineering team use Django to build robust.
-
Digital marketing
Sometimes only a bespoke solution will do, and that's fine too. Our custom software engineering team use Django to build robust.
-
Design and animation
Sometimes only a bespoke solution will do, and that's fine too. Our custom software engineering team use Django to build robust.
-
UX
Sometimes only a bespoke solution will do, and that's fine too. Our custom software engineering team use Django to build robust.


{{ item.data.headline}}
{{ item.data.caption }}
{{ item.data.company }}
{{ item.data.name }}
{{ item.data.email }}
Feature Item
Lorem Ipsum is simply dummy text.
Feature Item
Lorem Ipsum is simply dummy text.
Feature Item
Lorem Ipsum is simply dummy text.
Feature Item
Lorem Ipsum is simply dummy text.

Lorem Ipsum
Lorem Ipsum is simply dummy text.
Lorem Ipsum
Lorem Ipsum is simply dummy text.
Lorem Ipsum
Lorem Ipsum is simply dummy text.
Lorem Ipsum
Lorem Ipsum is simply dummy text.
Lorem Ipsum
Lorem Ipsum is simply dummy text.
Beautiful Content
Lorem Ipsum is simply.
Responsive
Lorem Ipsum is simply.
Typesetting
Lorem Ipsum is simply.
Simply Text
Lorem Ipsum is simply.
Company, Inc.
123 Street, City
State 12345
P:<PHONE_NUMBER> / 456 7891
Company, Inc.
123 Street, City
State 12345
Phone
(123) 456 7890
Email
<EMAIL_ADDRESS>Company, Inc.
123 Street, City
State 12345
Phone
(123) 456 7890
Email
<EMAIL_ADDRESS>123 Street, City
State 12345
(123) 456 7890 / 456 7891
Company, Inc.
123 Street, City
State 12345
P:<PHONE_NUMBER> / 456 7891
Step One
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard
dummy text ever since the 1500s.
Step Two
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard
dummy text ever since the 1500s.
Step Three
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard
dummy text ever since the 1500s.
Step Four
Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard
dummy text ever since the 1500s.
359
Lorem Ipsum is simply.
620
Lorem Ipsum is simply.
117
Lorem Ipsum is simply.
130
Lorem Ipsum is simply dummy text.
315
Lorem Ipsum is simply dummy text.
270
Lorem Ipsum is simply dummy text.
420
Lorem Ipsum is simply dummy text.
1.234
Lorem Ipsum has been the industry's standard dummy text ever since the 1500s.
Company, Inc.
123 Street, City
State 12345
Call us
(123) 456 7890
456 7891
Email
<EMAIL_ADDRESS>Company, Inc. 123 Street, City. State 12345.
(123) 456 7890 / 456 7891
89%
Web Design
92%
HTML & CSS
81%
Marketing
{{ item.data.content1 }}
{{ item.data.content2 }}
{{ item.data.content1 }}
{{ item.data.content2 }}
{{ item.data.content3 }}
{{ item.data.content1 }}
{{ item.data.content2 }}
{{ item.data.content3 }}
{{ item.data.content1 }}
{{ item.data.content2 }}
{{ item.data.content3 }}
{{ item.data.content4 }}
{{ item.data.content1 }}
{{ item.data.content2 }}
{{ item.data.content3 }}
Your Name, Lorem Ipsum
Your Name, Lorem Ipsum
"Lorem ipsum dolor sit amet, adipiscing elit. Vivamus leo ante."
 Vivamus leo ante."
By Your Name
Lorem Ipsum is simply dummy text.
Lorem Ipsum is simply dummy text.
Lorem Ipsum is simply dummy text.
Your Name
Lorem Ipsum is simply.
Your Name
Lorem Ipsum is simply.
Your Name
Lorem Ipsum is simply.
Your Name
Lorem Ipsum is simply.
Your Name
Lorem Ipsum is simply.
Your Name
Lorem Ipsum is simply.
Your Name
Lorem Ipsum is simply dummy text of the printing industry.
Your Name
Lorem Ipsum is simply dummy text of the printing industry.
Beautiful Content
Lorem Ipsum is simply dummy text of the printing industry. Lorem Ipsum has been the industry's standard dummy text ever
since the 1500s.
Printing and Typesetting
Lorem ipsum dolor sit amet, consectetur adipiscing elit.
Simply Dummy Text
Lorem Ipsum has been the industry's standard dummy text ever since the 1500s. Vivamus leo ante, consectetur sit amet
vulputate vel.
Company One
Company Two
Company Three
Company One
Company Two
Company Three
Company Four
Company Five
Company One
Company Two
Company Three
Company Four
Company One
Company Two
Company Three
Company One
Company Two
Company Three
Company One
Company Two
Company Three
Company Four


appMobi cookies with an expiry of zero expire when the current session ends. These are the equivalent of session-based browser cookies and can be used to store data across page transitions.
To test appMobi cookie expiration, set a cookie with an expiry of zero, quit the app, relaunch and verify that the cookie was deleted.
appMobi cookies with an expiry of less than zero do not expire.
You can test cross-session appMobi cookie persistence by exiting the app, relaunch, and verify that your cookies are still set.


Posted by cici on September 19, 2018
Posted by cici on September 17, 2018
Posted by cici on October 27, 2017
Posted by cici on October 16, 2017
Posted by cici on October 14, 2017
Posted by cici on October 6, 2017
Posted by cici on October 3, 2017
Posted by cici on September 6, 2017
Posted by cici on September 3, 2017
For the next quantum leap离开世界之前，一切都是过程


Add this Image
Remove this Image
Add this Image
Remove this Image
Add this Image
Remove this Image
Add this Image
Remove this Image
Add Borders
Remove Borders


Form Landing Page
Start
Next
Show Trace Panel
Hide Trace Panel
Press Start to Begin
Decision Service (Rules) Trace Panel
Input to Decision Service Call
Results From Decision Service Call
Accrued Form Data


MenuItem QML Type
MenuItem provides an item to add in a menu or a menu bar. More...
| Import Statement: | import QtQuick.Controls 1.4 |
Properties
- action : Action
- checkable : bool
- checked : bool
- enabled : bool
- exclusiveGroup : ExclusiveGroup
- iconName : string
- iconSource : url
- shortcut : keysequence
- text : string
- type : enumeration
- visible : bool
Signals
Methods
- void trigger()
Detailed Description
Menu { text: "Edit" MenuItem { text: "Cut" shortcut: "Ctrl+X" onTriggered: ... } MenuItem { text: "Copy" shortcut: "Ctrl+C" onTriggered: ... } MenuItem { text: "Paste" shortcut: "Ctrl+V" onTriggered: ... } }
See also MenuBar, Menu, MenuSeparator, and Action.
Property Documentation
action : Action |
The action bound to this menu item. It will provide values for all the properties of the menu item. However, it is possible to override the action's text
, iconSource
, and iconName
properties by just assigning these properties, allowing some customization.
In addition, the menu item triggered()
and toggled()
signals will not be emitted. Instead, the action triggered()
and toggled()
signals will be.
Defaults to null
, meaning no action is bound to the menu item.
Whether the menu item can be checked, or toggled. Defaults to false
.
See also checked.
If the menu item is checkable, this property reflects its checked state. Defaults to false
.
See also checkable and Action::toggled.
Whether the menu item is enabled, and responsive to user interaction. Defaults to true
.
exclusiveGroup : ExclusiveGroup |
If a menu item is checkable, an ExclusiveGroup can be attached to it. All the menu items sharing the same exclusive group, and by extension, any Action sharing it, become mutually exclusive selectable, meaning that only the last checked menu item will actually be checked.
Defaults to null
, meaning no exclusive behavior is to be expected.
Sets the icon name for the MenuItem icon. This will pick the icon with the given name from the current theme. Overrides the item's bound action iconName
property. Defaults to an empty string.
Note: This property requires QApplication.
See also iconSource and Action::iconName.
iconSource : url |
Sets the icon file or resource url for the MenuItem icon. Overrides the item's bound action iconSource
property. Defaults to an empty URL.
See also iconName and Action::iconSource.
Shortcut bound to the menu item. The keysequence can be a string or a standard key.
Defaults to an empty string.
MenuItem { id: copyItem text: qsTr("&Copy") shortcut: StandardKey.Copy }
See also Action::shortcut.
Text for the menu item. Overrides the item's bound action text
property.
Mnemonics are supported by prefixing the shortcut letter with &. For instance, "\&Open"
will bind the Alt-O
shortcut to the "Open"
menu item. Note that not all platforms support mnemonics.
Defaults to an empty string.
See also Action::text.
This property is read-only and constant, and its value is MenuItemType.Item
.
Signal Documentation
Emitted whenever a menu item's checked
property changes. This usually happens at the same time as triggered.
The corresponding handler is onToggled
.
See also checked, triggered, Action::triggered, and Action::toggled.
Emitted when either the menu item or its bound action have been activated.
The corresponding handler is onTriggered
.
See also trigger(), Action::triggered, and Action::toggled.
Method Documentation
Manually trigger a menu item. Will also trigger the item's bound action.
See also triggered and Action::trigger().


|
ActiveTcl User Guide
|
||
Tk_GetOption - retrieve an option from the option database
#include <tk.h>
Tk_Uid
Tk_GetOption(tkwin, name, class)
This procedure is invoked to retrieve an option from the database associated with tkwin's main window. If there is an option for tkwin that matches the given name or class, then it is returned in the form of a Tk_Uid. If multiple options match name and class, then the highest-priority one is returned. If no option matches, then NULL is returned.
Tk_GetOption caches options related to tkwin so that successive calls for the same tkwin will execute much more quickly than successive calls for different windows.
Copyright © 1990 The Regents of the University of California. Copyright © 1994-1996 Sun Microsystems, Inc. Copyright © 1995-1997 Roger E. Critchlow Jr.


Malappuram, Vengara leading in arts fest
Vengara and Edappal in second position
by Staff ReporterThe students of Malappuram and Vengara sub-districts put up a great show on the third day of the district school arts festival held at Melattur on Thursday.
In higher secondary general category, Malappuram sub-district took the lead by scoring 152 points. Vengara and Edappal were in the second position with 143 points, and Ponnani in the third with 136 points.
In the upper primary category, Melattur took the lead by scoring 53 points when Malappuram was in the second position with 52 points and Nilambur in the third position with 50 points.
In high school general category, Mankada took the lead by scoring 115 points while Perinthalmanna and Kuttippuram were in the second position with 104 points. Vengara was in the third position with 103 points.
The following were some of the first prize winners in different groups: HS Kathakali (group): Atheetha P. and team from PKMM HSS, Edarikode; HS Mridangam: Niranjan Manazhi from THSS, Angadipuram; HS Mimicry (boys): Mohammed Shahad K. from AMMHS, Pulikkal; HS Chakyarkoothu: Devadath from AHSS, Paral.; HS Poorakkali: Naveen V. and team from NSSEMHSS, Tirur; HSS Mapilapattu: Ashkar E.S. from DUHSS, Panakkad; HSS Mimicry: Niranjana M.J. from FMHSS, Tirur; HSS Chakyarkoothu: Agnay from GHSS, Edappal; HSS Kathakali: Abha Ravi from AVHSS, Ponnani; and HSS Mimicry: Mohammed Adil from Ideal EHSS, Kadakassery.


Comment section
Email
Image
Comment
Add Comment
User(s) comment(s) section
No comments added.
Comment section
User(s) comment(s) section


Introduction
Survey Monkey is an online survey software that helps you to create and run online surveys. It is also possible to visualize the survey results in Survey Monkey (for a single survey). However, if we want to compare the same question across several different surveys, it is difficult to do so directly in Survey Monkey. Luckily, we can solve the problem by using programming languages like Python.
The reason why I wrote this blog post is to share knowledge. I am still at the stage of learning python for data analysis. When I first encountered this problem of analyzing survey monkey data in python, I tried to google if there is anyone else who has shared a solution. I failed to find any direct answers on the first page of google. After trials and errors, I finally came up with some tricks and useful functions to solve the problem. Therefore, I want to share my knowledge and python functions which might help others to save some time.
This post will show you how to analyze survey data exported from Survey Monkey from multiple surveys in Python. To be more specific, I will first explain how to import Survey Monkey data into Python and automatically generate a codebook, and then share my code for visualizing the survey results for three types of survey questions:
- checkboxes (multi-answer question)
- multiple choice (single-answer question)
- matrix table
For all the codes below, I used python 3.7 and the following packages:
#pandas==0.24.2
import pandas as pd
#numpy==1.16.2
import numpy as np
#seaborn==0.9.0
import seaborn as sns
#matplotlib==3.0.3
import matplotlib.pyplot as plt
#set plot style
plt.style.use('bmh')
You can see the complete code for all my analysis in this notebook.
Import Survey Monkey data into Python
Step 1: Export data from Survey Monkey
I first created an example survey on Survey Monkey including the aforementioned three types of questions. I also manually created some fake responses in order to demonstrate how the raw data looks like after exporting from Survey Monkey.
You can export data from Survey Monkey easily by going to the “Analyze results” tab in a Survey and then click ”Save as”…”All response data”. It is recommended to export the “Actual answer text” so that you do not need to prepare the codebook manually.
Please export all the survey data that you want to merge later in Python from Survey Monkey, rename the CSV files inside the zip file, and move them into the working directory.
Step 2: Import Survey Monkey data into Python
We can use the pandas package to import the data as a dataframe. Please note the data exported from Survey Monkey actually includes two rows of headers. They can be used as a codebook to better understand the meaning of each column.
As we can see from the screenshot above, the original column names are very complicated. In order to easily refer to each column later in the data analysis process, I decided to replace the header in a dataframe using numerical values with a prefix of “Q”.
In the following screenshot, you can see that I imported two datasets from two surveys that share the same question and merged them into one dataframe.
Data visualization by group
In order to demonstrate the use of the following functions, I created more fake data with the python library Faker.
How to visualize the multi-answer question by group?
Example code:
# Prepare the summary table (please clean the data beforehand)
def prepare_table(data, column_range, group_column_name='group'):
res = []
col_range_index = list(column_range)
group_index = data.columns.to_list().index(group_column_name)
col_range_index.append(group_index)
series = data.iloc[:, col_range_index].groupby([group_column_name]).count().unstack()
for group in series.index.levels[1]:
for var in series.index.levels[0]:
res.append(
[
(series[var][group] / data.loc[:,group_column_name].value_counts()[group] * 100).round(2),
codebook.iloc[int(var[1:]), 1],
group,
]
)
return pd.DataFrame(columns=["percentage(%)", "options", group_column_name], data=res)
# Generate the checkbox chart based on the summary table
def gen_chart_checkbox(data, column_range, group_column_name='group'):
listOfGroup = list(data.loc[:,group_column_name].unique())
listOfGroup.sort()
table_sum = prepare_table(data, column_range, group_column_name)
print("Number of answers in each group: ")
print(data.loc[:,group_column_name].value_counts())
fig, ax = plt.subplots(figsize=(10, 8))
ax = sns.barplot(
x="percentage(%)",
y="options",
hue=group_column_name,
hue_order=listOfGroup,
data=table_sum,
)
ax.set(xlim=(0, 100))
ax.set_ylabel("")
plt.title(codebook.iloc[column_range[0], 0], fontsize=15)
plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.0, title="group")
return plt.show()
Input:
- data: Name of the dataframe
- column_range: A list of columns for the multi-answer questions
- group_column_name: The name of the column to identify group in the string format
Output:
How to visualize the single-answer question by group?
Example code:
# Generate a chart to visualize single-answer questions
def gen_chart_radiobutton(data, question_name, index, group_column_name='group'):
print("Number of answers in each group: ")
print(data[[question_name, group_column_name]].groupby(group_column_name).count())
i_counts = (
data.groupby([group_column_name])[question_name]
.value_counts(normalize=True)
.rename("percentage(%)")
.mul(100)
.reset_index()
.round(2)
)
listOfGroup = list(data.loc[:,group_column_name].unique())
listOfGroup.sort()
fig, ax = plt.subplots(figsize=(10, 8))
fig = sns.barplot(
x="percentage(%)",
y=question_name,
order=index,
hue=group_column_name,
hue_order=listOfGroup,
data=i_counts,
)
plt.title(codebook.iloc[int(question_name[1:]), 0])
plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.0, title="group")
ax.set(xlim=(0, 100))
ax.set_ylabel("")
return plt.show()
Input:
- data: Name of the dataframe
- question_name: Column name of the question
- index: a list of the categorical labels in an order that makes the most sense for understanding the chat
- group_column_name: The name of the column to identify group in the string format
Output:
How to visualize the matrix table by group?
Example code:
# Generate summary data for each group
def gen_table(data, group_name, col_range, group_column_name='group'):
data_sub = data[data[group_column_name] == group_name].iloc[:, col_range].dropna(how="all")
for var in data_sub.columns:
data_sub[var] = data_sub[var].map(
{
"Strongly agree": 5,
"Agree": 4,
"Undecided": 3,
"Disagree": 2,
"Strongly disagree": 1,
}
)
table = data_sub.describe().loc[["mean", "std", "count"]].T
index = []
for var in table.index:
i = int(var[1:])
index.append(codebook.iloc[i, 1])
table["item"] = index
# table["item_n"] = range(len(index),0,-1)
table["item_n"] = range(0, len(index))
return table
# Generate a chart to compare the importance of missing features across two groups
def compare_importance(data, groups, col_range, group_column_name='group'):
group_name_to_describe_data = {}
#Create a dictionary to save the summary data for each group
for i, group_name in enumerate(groups):
group_name_to_describe_data[group_name] = "data_describe_%s" % i
for group_name in groups:
table = gen_table(data, group_name, col_range, group_column_name)
group_name_to_describe_data[group_name] = table
#Get the item list and index
items = table.item.tolist()
item_n = table.item_n.tolist()
# Visualize the mean value with the 95% confidence interval
# Change the figsize if you have more yticks
plt.figure(num=None, figsize=(12, 6), dpi=90, facecolor="w", edgecolor="k")
ax = plt.axes()
for i, group_name in enumerate(groups):
plt.errorbar(
group_name_to_describe_data[group_name]["mean"].astype(float),
group_name_to_describe_data[group_name]["item_n"] - 0.1 * i,
xerr=1.96
* (
group_name_to_describe_data[group_name]["std"].astype(float)
/ (group_name_to_describe_data[group_name]["count"] ** 0.5)
),
fmt="o",
elinewidth=0.5,
capsize=4,
marker="o",
ms=4,
label=group_name,
)
ax.set_xlim(1, 5)
ax.set_yticks(item_n)
ax.set_yticklabels(labels=items, fontdict={'fontsize':16})
plt.legend(bbox_to_anchor=(1.05, 1), loc=2, borderaxespad=0.0, title="group")
plt.title("Compare the mean values across groups (scale 1-5)", fontsize=16)
return plt.show()
Input:
- data: Name of the dataframe
- groups: Group names of surveys that you are interested in comparing
- col_range: A list of columns for the matrix question
- group_column_name: The name of the column to identify group in the string format
Note: Here please customize the function of score_to_numeric above in order to convert the text labels in the raw data into meaningful numbers that you can interpret.
Output:


HTTPMS Client
Welcome to HTTPMS!
Use the search button above to find your favorite music.
Done
Settings
Current server
Username
Password
Artists
Albums
Tracks


Hi,
Is possible open and edit feed data?
for example /var/lib/phptimeseries/ *.MYD with phpmyadmin or MySQL Workbench???
Thanks
Archived Forum |
|
Open and edit feed "raw" data with phpmyadmin or MySQL Workbench???Submitted by Neni84 on Fri, 15/04/2016 - 07:20Hi, Is possible open and edit feed data? for example /var/lib/phptimeseries/ *.MYD with phpmyadmin or MySQL Workbench??? Thanks » |
Re: Open and edit feed "raw" data with phpmyadmin or MySQL Workbench???
If you are using the standard configuration then only the configuration data gets stored in MySQL. The feed data is stored in data files, as you have already described, located in /var/lib/phptimeseries, /var/lib/phpfina and /var/lib/phpfiwa, depending on the type of feed you are working with.
The only way the I know of to edit these files is using the 'editRealtime' and editDaily' function built into the Visualisations section of EmonCMS.
Regards
Andy Hodges
Re: Open and edit feed "raw" data with phpmyadmin or MySQL Workbench???
I'm using emoncms on a raspberry in low-write mode, configured as a guide to git.
In another topic, that now I can't find it... I read that in low-write mode the 'editRealtime' and editDaily ' function do not work on the historical data...
In fact, if I try to use it I don't correct the data of phptimeseries...
It seems impossible not there an alternative way to edit these data ...
Thanks
Regards
Re: Open and edit feed "raw" data with phpmyadmin or MySQL Workbench???
Hello Neni, yes support for editing historic data needs to be revisited across emoncms. Are you trying to change a daily value? or do you need to edit a large amount of data? Which version of emoncms are you using?
Re: Open and edit feed "raw" data with phpmyadmin or MySQL Workbench???
low-write 9.4 | 2016.03.15 on Rasp-pi Model B
Edit one day of phptimeseries feed data (daily kWh), but in Visualisation "Edit Daily" don't working...
Thanks


Congratulations to our students who already landed their dream job!
Please share the good news so we can share your success and inspire the other students.
Join our free Zoom program.


The Sun Fire B100's Blade Server hosted in the sun Fire B1600 Blade system Chassis enables improved resource utilization, massive scalability, enhanced management, and availability - all at dramatically reduced total cost of ownership.
The Sun Fire V210 server is a feature-rich, all-in-one solution system that offers high performance, reliability, and security in an ultra-dense, rack-optimized package. Featuring up to two 1 GHz UltraSPARC IIIi processors, four built-in Gigabit Ethernet ports, pre-installed Solaris 9 Operating System, pre-installed Sun Java Enterprise System software, a system configuration card, advanced remote management, and an optional integrated SSL card, the Sun Fire V210 server provides exceptional compute density, network performance, and Sun Java Enterprise System software at an affordable price.
Based on UltraSPARC III technology, the Sun Fire 4800 server helps deliver on the promise of continuous computing.With 4, 8 or 12 processors and the redundantly configurable Sun Fireplane Interconnect, the Sun Fire 4800 server delivers impressive total system performance. Full hardware redundancy and a variety of advanced mainframe-class availability features, such as Hot CPU Upgrades and Dynamic Reconfiguration, deliver exceptional availability.


Toggle navigation
SEPP
Home
About
Lab Lessons
Lesson 1
Lesson 2
Lesson 3
Lesson 4
Lesson 5
Lesson 6
Lesson 7
Lesson 8
Lesson 9
Lesson 10
Lesson 11
Team
Lesson 3
presentation
Attachments
If you would like to see more details please follow:
Slides
Activities Doc


No image to display
mix-blend-mode:
normal;
mix-blend-mode:
multiply;
mix-blend-mode:
screen;
mix-blend-mode:
overlay;
mix-blend-mode:
darken;
mix-blend-mode:
lighten;
mix-blend-mode:
color-dodge;
mix-blend-mode:
color-burn;
mix-blend-mode:
difference;
mix-blend-mode:
exclusion;
mix-blend-mode:
hue;
mix-blend-mode:
saturation;
mix-blend-mode:
color;
mix-blend-mode:
luminosity;


This is the property of Rolives Enterprise. Any illegal usage may course questioning and sometimes lead to criminal purnishment. Use with knowledge. contact:oparokeo<EMAIL_ADDRESS>HOME |
BUS |
CAB |
RAILWAY |
AIR-PLANE |
WATER FREIGHT |
BODA-BODA |
Databse |
Hotel |
NEWS |
About us |
Contact us |
Sign-In |
Sign-Up
Search:
Water fright details
Passenger name :
Passport number :
Home
Airlines travel
Domestic travel
Water fright travel
Railway-lines travel
Boda-boda travel
Hotel reservation
About us
Contact us
Membership
Gender :
- -
Male
Female
Source port
Via Dock port
Destination port
Number of passengers
Purpose of travel
Lagage / Cargo
Children
Ship class
Ship carbin class
vdz
vzv
Date of departure :
Time of departure :
Date of arrival :
Time of arrival :
Cost per child :
cost per KG lagage :
Cost per class :
vev
fuyf
3


XWININFO
Section: User Commands (1)Updated: xwininfo 1.0.5
Index Return to Main Contents
NAME
xwininfo - window information utility for XSYNOPSIS
xwininfo [-help] [-id id] [-root] [-name name] [-int] [-children] [-tree] [-stats] [-bits] [-events] [-size] [-wm] [-shape] [-frame] [-all] [-english] [-metric] [-display display]DESCRIPTION
Xwininfo is a utility for displaying information about windows. Various information is displayed depending on which options are selected. If no options are chosen, -stats is assumed.
The user has the option of selecting the target window with the mouse (by clicking any mouse button in the desired window) or by specifying its window id on the command line with the -id option. Or instead of specifying the window by its id number, the -name option may be used to specify which window is desired by name. There is also a special -root option to quickly obtain information on the screen's root window.
OPTIONS
- -help
- Print out the `Usage:' command syntax summary.
- -id id
- This option allows the user to specify a target window id on the command line rather than using the mouse to select the target window. This is very useful in debugging X applications where the target window is not mapped to the screen or where the use of the mouse might be impossible or interfere with the application.
- -name name
- This option allows the user to specify that the window named name is the target window on the command line rather than using the mouse to select the target window.
- -root
- This option specifies that X's root window is the target window. This is useful in situations where the root window is completely obscured.
- -int
- This option specifies that all X window ids should be displayed as integer values. The default is to display them as hexadecimal values.
- -children
- This option causes the root, parent, and children windows' ids and names of the selected window to be displayed.
- -tree
- This option is like -children but displays all children recursively.
- -stats
- This option causes the display of various attributes pertaining to the location and appearance of the selected window. Information displayed includes the location of the window, its width and height, its depth, border width, visual id and class, colormap id if any, map state, backing-store hint, and location of the corners.
- -bits
- This option causes the display of various attributes pertaining to the selected window's raw bits and how the selected window is to be stored. Displayed information includes the selected window's bit gravity, window gravity, backing-store hint, backing-planes value, backing pixel, and whether or not the window has save-under set.
- -events
- This option causes the selected window's event masks to be displayed. Both the event mask of events wanted by some client and the event mask of events not to propagate are displayed.
- -size
- This option causes the selected window's sizing hints to be displayed. Displayed information includes: for both the normal size hints and the zoom size hints, the user supplied location if any; the program supplied location if any; the user supplied size if any; the program supplied size if any; the minimum size if any; the maximum size if any; the resize increments if any; and the minimum and maximum aspect ratios if any.
- -wm
- This option causes the selected window's window manager hints to be displayed. Information displayed may include whether or not the application accepts input, what the window's icon window # and name is, where the window's icon should go, and what the window's initial state should be.
- -shape
- This option causes the selected window's window and border shape extents to be displayed.
- -frame
- This option causes window manager frames to be considered when manually selecting windows.
- -metric
- This option causes all individual height, width, and x and y positions to be displayed in millimeters as well as number of pixels, based on what the server thinks the resolution is. Geometry specifications that are in +x+y form are not changed.
- -english
- This option causes all individual height, width, and x and y positions to be displayed in inches (and feet, yards, and miles if necessary) as well as number of pixels. -metric and -english may both be enabled at the same time.
- -all
- This option is a quick way to ask for all information possible.
- -display display
- This option allows you to specify the server to connect to; see X(7).
EXAMPLE
The following is a sample summary taken with no options specified:
xwininfo: Window id: 0x60000f "xterm"
Absolute upper-left X: 2
Absolute upper-left Y: 85
Relative upper-left X: 0
Relative upper-left Y: 25
Width: 579
Height: 316
Depth: 8
Visual: 0x1e
Visual Class: PseudoColor
Border width: 0
Class: InputOutput
Colormap: 0x27 (installed)
Bit Gravity State: NorthWestGravity
Window Gravity State: NorthWestGravity
Backing Store State: NotUseful
Save Under State: no
Map State: IsViewable
Override Redirect State: no
Corners: +2+85 -699+85 -699-623 +2-623
-geometry 80x24+0+58
ENVIRONMENT
- DISPLAY
- To get the default host and display number.
SEE ALSO
X(7), xprop(1), xdpyinfo(1), xdriinfo(1), xvinfo(1), glxinfo(1)BUGS
Using -stats -bits shows some redundant information.The -geometry string displayed must make assumptions about the window's border width and the behavior of the application and the window manager. As a result, the location given is not always correct.
AUTHOR
Mark Lillibridge, MIT Project Athena
Index
This document was created by man2html, using the manual pages.
Time: 05:29:12 GMT, December 24, 2015