A use of Through His Stomach, with an excuse to get physically close to the Love Interest.
One person puts food into another's mouth as a romantic gesture. Very frequently, the feeding character will say a variant of "Say 'AAAH'" to the one that is being fed. The sensual aspects of the feeding get emphasis (doing it slowly, with a hand cupped under the other person's chin, maybe letting a fingertip linger in the recipient's mouth... you get the idea).
Often an action of Sickeningly Sweethearts. It's also part of some wedding traditions, like the newlyweds feeding each other soup or their wedding cake.
Compare Sweetheart Sipping, Indirect Kiss, Chocolate of Romance, or Erotic Eating. Spaghetti Kiss is a related trope.
Not to be confused with Strangled by the Red String, where the audience feels like they're being forcefully spoonfed a romance and told they should like it.
Examples:
- In Princess Mononoke, in the form of an Intimate Healing. When Ashitaka is injured and can't feed himself, San tries to put a strip of dried meat in his mouth. When he turns out to be too weak even to chew it, she takes it back, chews it up herself, and gently spits it into his mouth in a kiss. Slightly squicky but totally played as romantic.
- Played with in Berserk: Schierke tries to feed a bedridden Guts this way, but realizes what it looks like (she has a very obvious Precocious Crush on him), panics, and Guts ends up with a bowlful of very hot soup to the face.
- Appears in episode 5 Infinite Stratos where Ichika ends up with his entire harem trying to feed him at once. The solution was to have everybody feed each other.
- Parodied in Fairy Tail chapter 545.5. Juvia tries to invoke this by spoon feeding her beloved Gray, but he, already oblivious to her affections, is even more put off by how horrible the food is.
- In Bamboo Blade, there is a scene where Dan and Miya do this to each other (one of them using chopsticks, the other fork) in the schoolyard during the lunch pause.
- Spoofed and subverted in Naruto: Sakura offers to feed Naruto while his arm is out of commission, but Sai kills the mood by offering to feed him as well. Long story short, Kakashi is the one who ends up feeding Naruto.
- Played for Laughs and for Ho Yay in Cardcaptor Sakura when Yukito drops by to visit Touya after he has an accident (in reality, he got involved in Sakura's Clow Card quests)... but Touya is the one who ends up spoonfeeding Yukito his pancakes.
- Played with in My Monster Secret, for Asahi and Youko's first (real) date in chapter 101. Youko makes up some Blatant Lies about her omelet being better than the one in Asahi's bentou (even though it's the same) just so she can enact this trope, to her boyfriend's immense delight. Asahi then uses the exact same "tactic", full with a "say aaah", to his girlfriend's immense embarrassment. It's as adorable as it sounds.
- In Chapter 37 of New Game!, Shizuku attempts to tease Umiko by offering some food to feed to her. Unfortunately for Shizuku, Umiko was in a similar situation previously and eats the food without hesitation.
- Ma Renka does this in Kenichi: The Mightiest Disciple while having dinner with the titular protagonist, much to Miu's shock. Although she uses chopsticks instead of a spoon, she does invoke the "Say 'AAAH'" part.
- At the end of Tamagotchi! Yume Kira Dream episode 44, after Bolttchi confesses his love for Nuttchi, the latter is seen spoon-feeding the former some cake.
- In Season 3 episode 31 of Happy Heroes, after he defeats the wolverine monster in a fight in the sky, Happy S. plummets to the ground and lands on a robot by accident. The robot's romantic partner was trying to spoonfeed them before Happy S. literally dropped into the scene.
- Dungeon Keeper Ami: From "Improving Logistics":
Ami cut away at her own portion using her good hand and keeping the piece of shark in place with her telekinetic powers.
- Played with in the film Ever After. The pretty stepsister invokes this—the prince goes to hand her a treat (we find out later it's chocolate), and she closes her eyes and opens her mouth suggestively. The prince is obviously not aroused, and actually looks a little disturbed by it, but he feeds it to her.
- Done in Miao Miao with a chicken foot, which turns out much cuter than it sounds.
- Parodied in Hot Shots!, where Topper and his gal feed each other. At one point Topper fries an egg on her belly.
- In 9½ Weeks the two lead characters feed each other in front of an open refrigerator as foreplay.
- A couple of examples in the Deryni books:
- Duke Jared McLain and Lady Vera Howard are seen feeding each other during a banquet in Childe Morgan.
- Princess Janniver and Sir Jatham Kilshane spoonfeed each other during their wedding banquet in King Kelson's Bride.
- Late in King Kelson's Bride, Princess Richelle Haldane is seen feeding grapes to her fiance Brecon Ramsay while they're on a hunting trip with other members of their families.
- In Gone with the Wind, while describing her honeymoon with Rhett, Scarlett mentions that sometimes he would bring her breakfast in bed and feed her as though she were a child.
- The Tough Guide to Fantasyland: In the entry for Yogurt:
Yogurt is served [...] when you are raveneously hungry and would murder for a nice filling bowl of Stew. Nevertheless, you smile politely and make appreciative noises, because the person serving it to you is an attractive member of the opposite sex and, after the meal (if such it can be called), you plan to take a bath.
- How I Met Your Mother:
- In "Slutty Pumpkin", Marshal and Lily are dressed in matching Halloween outfits and share dinner — Lily spoonfeeds Marshal. They later also share a dessert.
- Robin is reluctant to do any lovey-dovey stuff with Mike in "Slutty Pumpkin". Mike wants her to taste his chicken, but she refuses and defies the trope. Lily tells her she should be more girlfriend-like and she attempts to share her sundae, but she likes it too much, so it doesn't really work out well.
- In "Something Blue", Marshal and Lily try to feed each other at their wedding with the cake. Lily is completely drunk and sees Marshal's face twice or thrice, and she falls down.
- "We're Not from Here": One of Gael's way of showing his love. In Argentina, he lets Robin taste some fruit. He only uses his fingers, and it's even more intimate than using a spoon. It turns Robin on. However, when he uses his fingers to feed her some spaghetti and sauce with sensual "here, taste, experience your food", she's just nervous that he's gonna ruin her sofa.
- Ted spoonfeeds Stacy, a Girl of the Week from episode "Little Boys". It's part of a montage of them doing couple-y stuff, like them cooking together or him spontaneously buying her a flower.
- When Ted dates Cathy, a girl that talks too much (her annoying habit which he only realized when others pointed it out), they are shown cooking together in their being-in-love montage. Ted spoonfeeds Cathy.
- In the episode "Convalescence" of Murdoch Mysteries, Mrs Jones, a pretty young widow, takes an opportunity and she spoonfeeds the sick and injured Detective Murdoch whom she came to visit.
- In My Family, an older man feeds his young girl-friend when they have formal dinner in a restaurant. Megan, the older guy's wife, tries to top him and make him jealous, so she asks Ben (who plays her lover for the evening) to spoonfeed her as well. Ben is a bit clumsy, though, and it's very awkward.
- In one scenario of the What If? episode on The Big Bang Theory, Raj and Howard share a dessert and Raj cleans Howard's mouth with a napkin. It's yet another joke about their friendship — they often look like a couple in love. Howard is disturbed, but Raj is delighted ("That is so us!").
- In Ready or Not, Busy's oldest brother and his fiancée sit close together at the table, sharing one meal and spoon-feeding each other in an episode close to their wedding.
- In one episode of Nurse Jackie, an old guy refuses to have a heart operation because it would only make him feel more sick even though he knows he's dying. His beloved wife spoon-feeds him with her super tasty and super healthy chicken soup.
- In Sex and the City, Harry buys Charlotte some ice cream for dessert and she eats it while they walk on the street. She offers him a bit on a spoon and he later takes another bite from the cup.
- In "The Lion and the Rose" of Game of Thrones, during the feast of the royal wedding, bride and new queen Margaery feeds Joffrey with a piece of their wedding pie.
- In episode "The Bet" of Brooklyn Nine-Nine, Amy loses the bet with her colleague Jake (whoever makes more felony arrests over the year, wins) and has to go on the worst date ever with him. She later says that nothing will be worse than her date with her aunt's dentist. She shares a memory of him offering her a piece of his food on a spoon. As she leans over to eat it, he starts checking her teeth with two spoons. Subverted Trope.
Dentist Guy: You should try some of this.
Amy: OK...
Dentist Guy: Oh. OK. Hold on. Yeah, dessert is out of the question.
- In The Sims 2, one of the romantic interactions available when characters are eating at a table together is "feed a bite". The Sim initiating the interaction takes food off his/her own plate with the fork, and offers it to his/her partner. The partner either accepts it, which improves their relationship score, or is disgusted, with predictable results.
- Jam is shown trying spoonfeeding the target of her affections, Ky Kiske, in her third Guilty Gear XX story ending, having taken a nervous Ky on a picnic and attempting to feed him heart-shaped chocolates with her chopsticks.
- In Sonichu, Punchy Sonichu feeds a french fry to Layla Flaaffy while they're eating together at McDonald's.
- Parodied on Family Guy when Peter realizes the fatter Lois is the more turned on by her he gets.
- Invoked by Helga on "Hey Arnold!" when she was faking having amnesia and pretending not to know how to use a spoon, prompting Arnold to help by feeding her. Helga is secretly infatuated by this while the other kids who are watching from afar are disgusted.
- In "Adventure Time" when Finn is trapped in a dream, he is at a picnic table being spoon fed by his girlfriend, Flame Princess. "Open wide, honey. EAT IT NOW!!
- A part of wedding traditions in some cultures. During the dinner, bride and groom feed each other, sometimes with cake or the main course. Suffice to say, both are usually so nervous that they can barely eat anything.


CREATE SCHEMA
Section: SQL Commands (7)Updated: 2012-08-14
Index Return to Main Contents
NAME
CREATE SCHEMA - define a new schemaSYNOPSIS
CREATE SCHEMA schemaname [ AUTHORIZATION username ] [ schema_element [ ... ] ] CREATE SCHEMA AUTHORIZATION username [ schema_element [ ... ] ]
DESCRIPTION
CREATE SCHEMA enters a new schema into the current database. The schema name must be distinct from the name of any existing schema in the current database.
A schema is essentially a namespace: it contains named objects (tables, data types, functions, and operators) whose names can duplicate those of other objects existing in other schemas. Named objects are accessed either by ``qualifying'' their names with the schema name as a prefix, or by setting a search path that includes the desired schema(s). A CREATE command specifying an unqualified object name creates the object in the current schema (the one at the front of the search path, which can be determined with the function current_schema).
Optionally, CREATE SCHEMA can include subcommands to create objects within the new schema. The subcommands are treated essentially the same as separate commands issued after creating the schema, except that if the AUTHORIZATION clause is used, all the created objects will be owned by that user.
PARAMETERS
- schemaname
- The name of a schema to be created. If this is omitted, the user name is used as the schema name. The name cannot begin with pg_, as such names are reserved for system schemas.
- username
- The name of the user who will own the schema. If omitted, defaults to the user executing the command. Only superusers can create schemas owned by users other than themselves.
- schema_element
- An SQL statement defining an object to be created within the schema. Currently, only CREATE TABLE, CREATE VIEW, CREATE INDEX, CREATE SEQUENCE, CREATE TRIGGER and GRANT are accepted as clauses within CREATE SCHEMA. Other kinds of objects may be created in separate commands after the schema is created.
NOTES
To create a schema, the invoking user must have the CREATE privilege for the current database. (Of course, superusers bypass this check.)
EXAMPLES
Create a schema:
CREATE SCHEMA myschema;
Create a schema for user joe; the schema will also be named joe:
CREATE SCHEMA AUTHORIZATION joe;
Create a schema and create a table and view within it:
CREATE SCHEMA hollywood CREATE TABLE films (title text, release date, awards text[]) CREATE VIEW winners AS SELECT title, release FROM films WHERE awards IS NOT NULL;Notice that the individual subcommands do not end with semicolons.
The following is an equivalent way of accomplishing the same result:
CREATE SCHEMA hollywood; CREATE TABLE hollywood.films (title text, release date, awards text[]); CREATE VIEW hollywood.winners AS SELECT title, release FROM hollywood.films WHERE awards IS NOT NULL;
COMPATIBILITY
The SQL standard allows a DEFAULT CHARACTER SET clause in CREATE SCHEMA, as well as more subcommand types than are presently accepted by PostgreSQL.
The SQL standard specifies that the subcommands in CREATE SCHEMA can appear in any order. The present PostgreSQL implementation does not handle all cases of forward references in subcommands; it might sometimes be necessary to reorder the subcommands in order to avoid forward references.
According to the SQL standard, the owner of a schema always owns all objects within it. PostgreSQL allows schemas to contain objects owned by users other than the schema owner. This can happen only if the schema owner grants the CREATE privilege on his schema to someone else.
SEE ALSO
ALTER SCHEMA [alter_schema(7)], DROP SCHEMA [drop_schema(7)]
Index
This document was created by man2html, using the manual pages.
Time: 05:34:14 GMT, December 24, 2015


DevOps is a new discipline that complements the Agile Delivery models for software engineering by bringing in Automation and Monitoring on the IT side and leverages Cloud computing concepts. DevOps leverages collaboration, tool-chain pipelines, automation and Cloud adoption. The immediate benefits can be observed as improved processes, more standardizations and building trust and improve productivity across development, QA and IT operations teams


Kozhikode found its place in the world map when in 1498, Vasco Da Gama, the Portuguese explorer landed here on the Kappad Beach. Also known as Calicut, Kozhikode is a place that has historical sites galore. The ‘Jewel of the Malabar’ has Hindus, Muslims and Christians living in harmony, keeping their beliefs and traditions alive.
A lush green countryside with serene beaches, historic sites, wildlife sanctuaries, rivers and hills make Kozhikode a popular destination. The district has three distinct regions - the sandy, the rocky highlands formed by the hilly portion of the Western Ghats and the Lateritic midlands.
Of the total area of 2344 sq.kms., the sandy coastal belt comprises 362.85 sq.kms., the lateritic midlands occupy 1343.50 sq.kms and the rocky highlands cover 637.65 sq.kms. The district has a coastal length of about 80 kms. The highland region accounts for 26.80 per cent and the lowland region covers 15.55 per cent of the total area of the district.
A tract of 3 km across the beach, this avenue remains deserted and quiet during the day. The aquarium at the North end of the road draws visitors occasionally. The place comes alive in the evening when people venture out for a stroll across the beach. Vendors selling peanuts, snacks and ice creams can be seen. You can also take a walk across the beach road course to the Dolphin’s Point during dawn to get a glimpse of the leaping dolphins.
The street selling an assortment of sweets is aptly named.  A chock-a-block, with shops selling everything from sweets to snacks, Mitthayi Theruvu is specially known for its Halwa, a glutinous sweet dish.
The mosque reminiscent of Kerala’s Temple Architecture is a grand affair built out of wood, supported on 24 carved pillars. The mosque with 47 doors has intricately carved ceilings, Gopuram style arches and unlike other mosques, does not have minarets. The 700 year old mosque was constructed by Nakhooda Mishkal, a rich Arab businessman and ship owner.
The 18th century Gothic Cathedral, believed to have been designed by Italian architects, has a 200 year old portrait of St Mary. The cemetery adjoining the church holds old gravestones such as that of the first Catholic missionary of Kozhikode, Rev Pedro de Covilhany, who arrived here on May 20, 1498.
A 14th century temple built by the Zamorin King, Manavikraman, this site is located about one and a half kilometers east of Manachira Square. The annual cultural event, Revathi Pattathanam draws a number of pilgrims to the temple. Elaborate wooden carvings on the roof and intricate bas relief on the walls of the sanctorum are proof to the artistic abilities of our artisans.
It is believed that the Portuguese explorer Vasco Da Gama landed on this beach with his team of explorers, thus giving it a place on the world map. The beach, calm and quiet, is an ideal place to relax. The best way to visit this beach is by taking a backwater cruise.
Earlier known as the East Hill Bungalow, the Pazhassiraja Museum was built in 181. The museum has on display, a rare collection of murals, earthenware, models of temples, coins, umbrella stones, burial urns and crypts. The art gallery nearby, exhibits paintings by Raja Ravi Varma and his uncle Raja Rama Varma.
A quaint little town with a distinctively French flavour, Mahe is located 58 km north of Kozhikode and intersected by the River Mahe. The town was earlier known as ‘Mayyazhi’ but was renamed after ‘Mahe’ after the Frenchman who captured it. A union territory, Mahe is free of the strict government control on alcohol and has a number of wine shops. The Malayala Kalagramam, a centre of fine arts that teaches various forms of dance, music, sculpting, yoga and meditation is a sought after destination for those willing to learn the arts. St Teresa’s Church, one of the oldest churches of the Malabar region, is another place you must visit.
Snuggled cozily in the Western Ghats, are the gurgling waterfalls of Thusharagiri. Thushargiri, literally means the snow capped mountains. The three waterfalls on the backdrop of the Western Ghats provide an exhilarating and spellbinding sight to the visitor, in its full glory from September to November. Two streams originating from the Western Ghats meet here to form the Chalippuzha River. The river diverges into three waterfalls creating a snowy spray, which gives the name, 'Thusharagiri'. Of the three, the highest waterfall is Thenpara, which falls from an altitude of 75 metres.


City Lights in New York
The city that never sleeps.
New York, the largest city in the U.S., is an architectural marvel with plenty of historic monuments, magnificent buildings and countless dazzling skyscrapers.
o 6 mins ago
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(c) 2020 Open Compute Project
Use your mouse to rotate the model (left mouse button kept pressed)
Press A to left pan the model
Press D to right pan the model
Simple click on a Part to hide it. Click within this list entry to reactivate
the part


Class RectangleLineDataProvider
Defines a line in the shape of a rectangle.
Inheritance
RectangleLineDataProvider
Assembly: XRTK.dll
Syntax
public class RectangleLineDataProvider : BaseMixedRealityLineDataProvider
Properties
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Height
Declaration
public float Height { get; set; }
Property Value
|
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Loops
Declaration
public override bool Loops { get; }
Property Value
Overrides
|
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PointCount
Declaration
public override int PointCount { get; }
Property Value
Overrides
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Width
Declaration
public float Width { get; set; }
Property Value
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ZOffset
Declaration
public float ZOffset { get; set; }
Property Value
Methods
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DrawUnselectedGizmosPreview()
Declaration
protected override void DrawUnselectedGizmosPreview()
Overrides
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GetPointInternal(Int32)
Get a point based on point index
Point index will be pre-clamped
Declaration
protected override Vector3 GetPointInternal(int pointIndex)
Parameters
| Type |
Name |
Description |
| Int32 |
pointIndex |
|
Returns
Overrides
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GetPointInternal(Single)
When we get interpolated points we subdivide the square so our sampling has more to work with
Declaration
protected override Vector3 GetPointInternal(float normalizedDistance)
Parameters
| Type |
Name |
Description |
| Single |
normalizedDistance |
|
Returns
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GetUnClampedWorldLengthInternal()
Get the UnClamped world length of the line
Declaration
protected override float GetUnClampedWorldLengthInternal()
Returns
Overrides
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GetUpVectorInternal(Single)
Gets the up vector at a normalized length along line (used for rotation)
Declaration
protected override Vector3 GetUpVectorInternal(float normalizedLength)
Parameters
| Type |
Name |
Description |
| Single |
normalizedLength |
|
Returns
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OnValidate()
Declaration
protected override void OnValidate()
Overrides
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SetPointInternal(Int32, Vector3)
Declaration
protected override void SetPointInternal(int pointIndex, Vector3 point)
Parameters
Overrides
Extension Methods


Least-squares fitting of EPR spectra, single and multiple components.
esfit(SimFcn,expSpc,Sys0,Vary,Exp); esfit(SimFcn,expSpc,Sys0,Vary,Exp,SimOpt); esfit(SimFcn,expSpc,Sys0,Vary,Exp,SimOpt,FitOpt); BestSys = esfit(...) [BestSys,BestSpc] = esfit(...)
See also the user guide on fitting.
esfit
fits EPR spectra simulated with
garlic,
pepper,
chili, etc. to experimental spectral data
using least-squares fitting algorithms.
If no output is requested, esfit
starts an interactive user interface that allows extensive
control over the fitting process and also allows the export of the fitting results to the workspace. In the UI, the fitting algorithm can be changed,
parameters can be excluded from the fit, and multiple fit sets can be stored.
If the user interface is not desired, then esfit
should be called with one or two output arguments:
BestSys
contains the spin system parameters of the best fit.
BestSpc
contains the simulated spectrum that gives the best fit.
The input parameters are the following:
SimFcn
is the function handle of a simulation function: @garlic
, @pepper
,
@chili
, @saffron
, @salt
, or a user-supplied custom function that makes use of one or more of these.
expSpc
is a 1D array containing the experimental spectral data, which can be one data set or several data sets that have been concatenated (in the latter case, a custom simulation function would need to be defined for fitting).
Sys0
is a spin system structure containing all the parameters of the spin system.
For parameters that are to be varied during the fitting process, the values in the structure represent the centers of the search ranges.
Sys0
is a cell array of spin system structures, e.g. {Sys1,Sys2}
for a two-component system. The weights for the different components are included in each component structure, e.g. Sys1.weight = 0.7
and Sys2.weight = 0.3
. The weights are relative (0.7 and 0.3 is the same as 14 and 6) and can be included in the fit. If weight is omitted, it is assumed to be 1. There is no limit on the number of components.
Vary
contains the approximate maximum variations for the spin system parameters allowed in the fitting. If a spin system parameter should be included
in the fitting, give it a non-zero value in this structure. If it should not be included, set its value in this structure to zero, or don't include it at all.
Sys0.lwpp = 5; Vary.lwpp = 2; % the linewidth is searched over a range of about 3 to 7 Vary.lwpp = 0; % the linewidth kept constant at the value given in Sys0For multiple components,
Vary
should be a cell array containing one structure per component, e.g. {Vary1,Vary2}
for two components. If none of the parameters of a component are varied in the fit, []
can be specified, e.g. {Vary1,[]}
for a two-component fit where only parameters of the first component are varied.
Exp
contains the experimental parameters needed for the simulation. Make sure to specify the field or frequency range you used for the experimental data in Exp.Range
or Exp.mwRange
. If you let the simulation function automatically pick a range, it will likely be different from the experimental one, and esfit
cannot do its work. For example, if x
is the experimental field range, use Exp.Range = [min(x) max(x)]
.
SimOpt
contains simulation options that are forwarded directly to the simulation function. Refer to the documentation of
chili,
garlic,
pepper, and
salt for details.
FitOpt
is a structure containing settings for the optimization algorithms used in esfit
. The possible settings are discussed
further down on this page.
The structure FitOpt
contains fitting options. The most important ones select the fitting algorithm and the function to use for computing the residuals:
FitOpt.Method
FitOpt.Method = 'simplex fcn'; FitOpt.Method = 'genetic int';
The keywords for choosing one of the available algorithms are
'simplex'
: Nelder-Mead simplex algorithm (unconstrained)
'levmar'
: Levenberg/Marquardt (unconstrained)
'montecarlo'
: Monte Carlo random search (constrained)
'genetic'
: Genetic algorithm (constrained)
'grid'
: Systematic grid search (constrained)
'swarm'
: Particle swarm algorithm (constrained)
'simplex'
is used.
The second keyword specifies what the residuals and consequently the root-mean-square deviation (rmsd) should be computed from. Usually the residuals are computed by taking the difference of the experimental and the simulated spectrum. However, the spectra can be transformed before computing the residuals.
'fcn'
means take the experimental and simulated spectral data directly.
'int'
: integrate the two spectra.
'dint'
: use the double integrals of the two spectra.
'diff'
: compute the derivatives of the two spectra.
'fft'
: FFT both spectra before computing the residuals.
'fcn'
. If there are many resolved lines, 'int'
gives better convergence.
FitOpt.Scaling
'maxabs'
: make the maximum absolute of simulated and experimental spectrum equal
'minmax'
: rescales and shifts so that minimum and maximum of the two spectra are identical
'lsq'
: obtains the scaling factor by least-squares fitting, without shifting
'lsq0'
: same as 'lsq'
, but includes a constant baseline correction
'lsq1'
: same as 'lsq'
, but includes a linear baseline correction
'lsq2'
: same as 'lsq'
, but includes a quadratic baseline correction
'none'
: no scaling at all
If the baseline of the experimental spectra has been corrected beforehand, the best choice is 'maxabs'
.
This is also the default value.
If the noise level is high, 'lsq'
is a better choice:
FitOpt.Scaling = 'lsq';To include corrections for a baseline in the experimental spectrum, use
'lsq0
, 'lsq1
, or 'lsq2
.
There are more options which are recognized by all fitting algorithms:
FitOpt.maxTime
esfit
will terminate even if the fitting has not yet converged.
FitOpt.PrintLevel
FitOpt.OutArg
[nArgOut useArg]
that tells esfit
how to use the output arguments of the simulation function, which may only be required for advanced usage, e.g. when using a custom fitting function. nArgOut
is the number of outputs provided by the function. esfit
will call the function asking for this number of outputs. The second number, useArg
, tells esfit
which of the output arguments actually contains the simulated data.
E.g. FitOpt.OutArg = [3 2]
indicates to call the function asking for three outputs and then to use output number 2 for the fitting.
For standard EasySpin simulation functions, OutArg
is chosen automatically. For custom simulation functions that deviate in their output behavior, OutArg
might be useful.
Each of the available fitting algorithms can be fine-tuned using a set of parameters.
Parameters for Nelder/Mead downhill simplex:
FitOpt.RandomStart
Vary
. If set to 0, which is the default value, the center of the parameter space is used as the starting point.
FitOpt.TolEdgeLength
FitOpt.TolFun
FitOpt.SimplexPars
[rho chi psi sigma]
, where rho
is the reflection coefficient, chi
is the expansion coefficient, psi
is the contraction coefficient, and sigma
is the shrink coefficient. The default values are [1,2,0.5,0.5]
.
FitOpt.delta
Parameters for Levenberg-Marquardt:
FitOpt.RandomStart
Vary
. If set to 0, which is the default value, the center of the parameter space is used as the starting point.
FitOpt.TolStep
FitOpt.TolFun
FitOpt.lambda
FitOpt.delta
Parameters for Monte Carlo:
FitOpt.nTrials
FitOpt.TolFun
Parameters for the genetic algorithm:
FitOpt.PopulationSize
FitOpt.maxGenerations
maxGenerations
can be decreased.
Parameters for the grid search:
Parameters for the particle swarm:
Internally,
After rescaling,
For details about the algorithms implemented in
Here is a very simple example. Let's assume the experimental data are stored in
See the example section for a full example. Also, read the user guide about fitting.
FitOpt.GridSize
Vary.g = [0 0.001 0]; Vary.lw = 0.2;
Then GridSize
can contain 1 or 2 numbers:
FitOpt.GridSize = 10; % 10 points for each parameter, making 100 grid points total
FitOpt.GridSize = [20 3]; % 10 points along g and 3 along lw, giving a total of 60
FitOpt.nParticles
FitOpt.TolFun
FitOpt.SwarmParams
[k w c1 c2]
. k
is the velocity limit
and determines how far a particle can move in an iteration (default 0.2). w
is the inertial
coefficient (default 0.5) and describes the propensity of a particle to move in the same direction as the preivious
iteration. c1
is the cognitive coefficient (default 2) and determines to what
degree a particle moves towards the currently optimal point. c2
is the social coeffient (default 1)
and describes how much a particle follows the other particles. Together, k
, c1
and c2
determine in which direction a particle will move in a given iteration.
esfit
rescales the parameters to be fitted. E.g. if the linewidth should be fitted and is expected to be around 5 mT, plus minus 1.5 mT, then:
Sys.lw = 5;
Vary.lw = 1.5
; esfit
treats 5 mT as x = 0
, 3.5 mT as -1
and 6.5 mT as +1
.
esfit
, see e.g.
expspc
.
Then the following code performs a least-squares fitting using the Nelder/Mead downhill simplex algorithm.
Exp.mwFreq = 9.5;
Sys0.g = [2.1 2.2]
Sys0.lwpp = 0.1;
Vary.g = [0.05 0.02];
esfit(@pepper,expspc,Sys0,Vary,Exp);


Bases: object
Represents wrapper of any Ceilometer queries.
One instance of this class should be shared between resources as this class provides a place where users and tenants are cached. So there are no duplicate queries to API.
This class also wraps Ceilometer API calls and provides parallel HTTP calls to API.
This class should also serve as reasonable abstraction, that will cover huge amount of optimization due to optimization of Ceilometer service, without changing of the interface.
Returns tenant fetched from API.
Caching the result, so it doesn’t contact API twice with the same query.
Returns user fetched from API.
Caching the result, so it doesn’t contact API twice with the same query.
Obtaining a resources for table view.
It obtains resources with statistics data according to declaration in used_cls class.
| Parameters: |
|
|---|
Preloads all tenants into dictionary.
It’s more effective to preload all tenants, rather than fetching each tenant by separate API get calls.
Preloads all users into dictionary.
It’s more effective to preload all users, rather than fetching many users by separate API get calls.
Obtaining a query from resource id.
Query can be then used to identify a resource in resources or meters API calls. ID is being built in the Resource initializer, or returned by Datatable into UpdateRow functionality.
Obtaining resource aggregates with queries.
Representing a resource aggregate by query is a most general way how to obtain a resource aggregates.
| Parameters: |
|
|---|
Obtaining resource aggregates with statistics data inside.
| Parameters: |
|
|---|
Obtaining resources with the query or filter_func.
Obtains resources and also fetch tenants and users associated with those resources if with_users_and_tenants flag is true.
| Parameters: |
|
|---|
Obtaining resources with statistics data inside.
| Parameters: |
|
|---|
Adding statistical data into one Resource or ResourceAggregate.
It adds each statistic of each meter_names into the resource attributes. Attribute name is the meter name with replaced ‘.’ to ‘_’.
| Parameters: |
|
|---|
Bases: openstack_dashboard.api.base.APIResourceWrapper
Represents one Ceilometer meter.
Bases: object
Class for listing of available meters.
It is listing meters defined in this class that are available in Ceilometer meter_list.
It is storing information that is not available in Ceilometer, i.e. label, description.
Returns a list of meters based on the meters names.
| Parameters: |
|
|---|
Returns a list of meters tied to cinder.
| Parameters: |
|
|---|
Returns a list of meters tied to glance.
| Parameters: |
|
|---|
Returns a list of meters tied to ipmi
| Parameters: |
|
|---|
Returns a list of meters tied to kwapi.
| Parameters: |
|
|---|
Returns a list of meters tied to neutron.
| Parameters: |
|
|---|
Returns a list of meters tied to nova.
| Parameters: |
|
|---|
Returns a list of meters tied to swift.
| Parameters: |
|
|---|
Bases: openstack_dashboard.api.base.APIResourceWrapper
Represents one Ceilometer resource.
Bases: openstack_dashboard.api.ceilometer.Resource
Represents aggregate of more resources together.
Aggregate of resources can be obtained by specifying multiple ids in one parameter or by not specifying one parameter. It can also be specified by query directly.
Bases: openstack_dashboard.api.base.APIResourceWrapper
Represents one Ceilometer sample.
Bases: openstack_dashboard.api.base.APIResourceWrapper
Represents one Ceilometer statistic.
Bases: threading.Thread
Multithread wrapper for update_with_statistics method of resource_usage.
A join logic is placed in process_list class method. All resources will have its statistics attribute filled in separate threads.
The resource_usage object is shared between threads. Each thread is updating one Resource.
| Parameters: |
|
|---|
Initialization of Ceilometer client.
Return True if the given is list or tuple.
Returns query built from given parameters.
This query can be then used for querying resources, meters and statistics.
| Parameters: |
|
|---|
List the user’s meters.
List the resources.
List the samples for this meters.
List of statistics.


Felled Flying Squad Officer Daniel Etyang Was Not A Robber – Kabogo
by Francis MuliFormer Kiambu governor William Kabogo has refuted reports that felled flying squad officer Daniel Etyang was a robber as alleged by the authorities.
Etyang was killed alongside a taxi driver, in what police described as a thwarted robbery that involved the police officer.
In a tweet, Kabogo said that the police officer worked as his aide for four years before he was deployed to work under Kenya Medical Supplies Authority (Kemsa) CEO Dr Jonah Manjari.
“The late Etyang was my Assistant for 4 yrs, thereafter worked with the MD KEMSA. I can swear he was not a robber that’s BS, cold blooded murder. The killers should face the full force of the law,” wrote Kabogo.
The police said that Etyang and the driver were planning to commit crime at Ruaka Court Yard, but did not specify the type of crime.
Police said they recovered a government registered Jericho pistol which had 10 rounds of ammunition.
However, other reports indicate that the officer’s gun was not fired, meaning there was no exchange of fire.


| Package | Description |
|---|---|
| org.apache.guacamole.form |
Provides classes which describe the contents and semantics of forms which
may be presented to the user.
|
| org.apache.guacamole.net.auth.credentials |
| Modifier and Type | Class and Description |
|---|---|
class |
BooleanField
Represents a field with strictly one possible value.
|
class |
DateField
Represents a date field.
|
class |
EmailField
Represents a text field which may contain an email address.
|
class |
EnumField
Represents an arbitrary field with a finite, enumerated set of possible
values.
|
class |
LanguageField
Represents a language field.
|
class |
MultilineField
Represents a field which can contain multiple lines of text.
|
class |
NumericField
Represents a field which may contain only integer values.
|
class |
PasswordField
Represents a field which contains sensitive text information related to
authenticating a user.
|
class |
TerminalColorSchemeField
Represents a terminal color scheme field.
|
class |
TextField
Represents a basic text field.
|
class |
TimeField
Represents a time field.
|
class |
TimeZoneField
Represents a time zone field.
|
class |
UsernameField
Represents a text field which will contain the uniquely-identifying name of
a user.
|
| Modifier and Type | Method and Description |
|---|---|
Collection<Field> |
Form.getFields()
Returns a mutable collection of the fields associated with this form.
|
| Modifier and Type | Method and Description |
|---|---|
void |
Form.setFields(Collection<Field> fields)
Sets the collection of fields associated with this form.
|
| Constructor and Description |
|---|
Form(String name,
Collection<Field> fields)
Creates a new Form object having the given name and containing the given
fields.
|
| Modifier and Type | Field and Description |
|---|---|
static Field |
CredentialsInfo.PASSWORD
A field describing the password HTTP parameter expected by Guacamole
during login, if passwords are being used.
|
static Field |
CredentialsInfo.USERNAME
A field describing the username HTTP parameter expected by Guacamole
during login, if usernames are being used.
|
| Modifier and Type | Method and Description |
|---|---|
Collection<Field> |
CredentialsInfo.getFields()
Returns all fields required for valid credentials as described by this
object.
|
| Modifier and Type | Method and Description |
|---|---|
String |
UserCredentials.getValue(Field field)
Returns the value defined by this UserCrendentials object for the given
field.
|
String |
UserCredentials.removeValue(Field field)
Removes (undefines) the value of the given field returning its previous
value.
|
String |
UserCredentials.setValue(Field field,
String value)
Sets the value of the given field.
|
| Constructor and Description |
|---|
CredentialsInfo(Collection<Field> fields)
Creates a new CredentialsInfo object which requires the given fields for
any conforming credentials.
|
UserCredentials(Collection<Field> fields)
Creates a new UserCredentials object which requires the given fields but
does not yet have any defined values.
|
UserCredentials(Collection<Field> fields,
Map<String,String> values)
Creates a new UserCredentials object which requires the given fields and
values.
|
Copyright © 2020. All rights reserved.


| Ted's Checking | $2,122.12 | |
| Family Checking | $1,567.23 | |
| Emergency Fund | $5000.00 | |
| LT Savings | $13,002.28 | |
| Kids College | $8,270.89 |
| Document # | Name | Date | Account |
|---|---|---|---|
| 1454534 | 2014 Year End Summary | 1/15/2015 | AZ23045 |
| 3444342 | Tax record 2014 | 3/11/2015 | AU24783 |
| 6735645 | Declaration of finan... | 6/21/2015 | AM23781 |
| Card | Min. Payment | Balance | Account # |
|---|---|---|---|
| Master Card | $126 | $1,100.45 | 8434-xxxx-xxxx |
| American Express | $26 | $206.23 | 12343-XX-XXXX |


Introducing Kickoff
Within a large team, making sure that everyone is on the same page can be difficult; at TMW we have a team of about 20 web developers (6 are front-enders and creative technologists) and this was an issue that we needed to tackle. We create many different types of sites, from single page apps to large-scale builds like uk.thebar.com or BBC Goodfood and needed a framework that would work for all of them, so Ash Nolan and I created Kickoff.
Kickoff is a lightweight front-end framework for creating scalable, responsive sites; that might sound a bit vague but it is the essence of the framework. Due to the nature of agency work, the projects are hugely varied, but as developers, we always try to cut corners to normalise things as much as possible – basically because we're lazy and we don't want to have to repeat things very often! Kickoff aims to mitigate common problems found in web development by providing a strong starting point and a set of helpful defaults for use on almost any project.
The key difference of Kickoff when compared with other similar frameworks – I'm looking at you Bootstrap and Foundation – is that it is not nearly as prescriptive. While those frameworks define almost every aspect of a website with CSS styles and JavaScript plugins that do everything, Kickoff has most of that but does not enable it by default. For example, we have a simple grid system, but if you need something more complex or, heaven forbid, not use one, that is not a problem; just don't include it.
The tech
Grunt is used extensively in Kickoff. It is the beating heart of the framework, we use it to compile our Sass, concatinate and then minify our JavaScript files, or to fire up a simple local server with LiveReload for some testing. Using Grunt has other benefits besides this; it allows any dev to pick up a project, regardless of if they've worked on it before, and get up and running in no time at all. We are working on getting Grunt set-up on our Teamcity continuous integration build server but it is not ready yet - this will be a massive step forward once that's done.
How do you get your hands on it?
We have built a brochure site at tmwagency.github.io/kickoff/ where you can find documentation and demos on various parts of the framework. If you want to grab the code, visit our Github project page. It is being actively maintained and we welcome suggestions and support for improvements. If you use Yeoman, there is a Kickoff generator that I created to help speed up the project creation process even more.
Here are a few sites using Kickoff:
- The BBC Goodfood cookery site
- The Western Europe version of uk.thebar.com cocktail site
- Strepsils Xfactor competition site
- labs.tmw.co.uk - Woop Woop!
We are very proud of Kickoff, it has helped our team become more efficient, improving workflow throughout the department. Just give it a try on your projects and let us know how you get on.


{% comment %} ?rel=0&showinfo=0&color=white in the youtube link is used to remove the related videos at the end of the clip {% endcomment %}
{% comment %}
Edo Outpost
{% endcomment %}Edo Outpost - Walking street food tour - Togoshi Ginza
- Decription
- Street food at it's best.
Togoshi Ginza is a popular shopping road where
"Tokyoites" come to shop and eat.
Sample a minimum of 6 different items of the most popular and seasonal street food on offer.
This area specialises in the finest "Karaage" (fried chicken).
{% comment %} - Donec id elit non mi porta gravida at eget metus. {% endcomment %}
- Tour Type
- Walking Tour
- Tour Details
- Start Time: 14:00
Duration: 2.5 to 3 hours - Walking distance
- Estimated: 1.25 miles | 2 km | Moderate level of fitness required
- Meeting point
- Togoshi Ginza Train Station (Tokyu Ikegami Line)
Outside platform 1 (going in the direction of Kamata Station)
Link to meeting point - Children
- Children are welcome, please note we do not sell "children" tickets as they come in all shapes and appetites. We recommend sharing a single ticket between two children, but you will know your children much better than we do!
All Inclusive - only ¥5,999 per person Book Now
Reviews
John Doe
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Nisi cupiditate temporibus iure soluta. Quasi mollitia maxime nemo quam accusamus possimus, voluptatum expedita assumenda. Earum sit id ullam eum vel delectus!
Maria Casie
Lorem ipsum dolor sit amet, consectetur adipisicing elit. Nisi cupiditate temporibus iure soluta. Quasi mollitia maxime nemo quam accusamus possimus, voluptatum expedita assumenda. Earum sit id ullam eum vel delectus!


Inspired by lots of media attention (putting it mildly), let’s examine some public data on COVID-19 (aka “Coronavirus”) poistive tests and fatalities.
This work was inspired by Isaac Faber, who posted some code on his github repo.
At time of publishing, the White House has issued a call to action" from AI researchers. Public data has been made avaiable here.
# install.packages("remotes")
remotes::install_github("GuangchuangYu/nCov2019")
# select "none"
library(nCov2019)
library(tidyverse)
# Get the latest data
x <- get_nCov2019(lang = 'en')
head(x)
We’ve scratched the surface of the data avaiable, but it’s enough to get started. A lot of published visualizations and statistics focus on China, but we’ll focus on the globe and finally the USA.
Let’s look at countries where there have been coronavirus-related deaths and see exactly how fatal the virus is.
# just the global level data
covid_data_global <- x$global %>%
filter(deadRate > 0) %>%
mutate(deadRate = as.numeric(deadRate)) %>%
arrange(desc(deadRate))
covid_data_global
lolli <- ggplot(covid_data_global, aes(x=deadRate, y=reorder(name,deadRate))) +
# ggplot themes: https://ggplot2.tidyverse.org/reference/ggtheme.html
theme_classic() +
geom_point(size=2, aes(colour='red')) +
geom_segment(aes(x=0, xend=deadRate, y=name, yend=name)) +
ylab("") +
xlab("Death Rate (Percent)") +
ggtitle("Death Rate by Country",subtitle = "Percent who die with positive test") +
theme(legend.position = "none")
lolli
Things look quite treacherous in Sudan, Guatemala, Ukriane and Guyana. But why, then, do we keep hearing about China and Italy in the news?
# show cumulative deaths
glbl_deaths <- x$global %>%
filter(!is.na(dead)) %>%
filter(dead > 4) %>%
mutate(dead = as.numeric(dead)) %>%
arrange(desc(dead))
glbl_deaths
lolli2 <- ggplot(glbl_deaths, aes(x=dead, y=reorder(name,dead))) +
theme_classic() +
geom_point(size=2, aes(colour='red')) +
geom_segment(aes(x=0, xend=dead, y=name, yend=name)) +
ylab("") +
xlab("# Deaths") +
ggtitle("Deaths by Country",subtitle = "Countries with 5 deaths or more") +
theme(legend.position = "none")
lolli2
While Sudan had the worst mortality rating, it doesn’t even make this plot. Thus, it’s had all positive tests result in a fatality, but less than 5 fatalities in total.
We see what is reflected in the news quite clearly: China has had the most deaths due to the virus. Next up are Italy and Iran.
# load historical data which is more useful for global time series
covid_data_ts <- load_nCov2019(lang = 'en', source='github')
head(covid_data_ts)
covid_data_ts_glbl <- covid_data_ts$global
head(covid_data_ts_glbl)
If you want to see a sorted list of countries (most deaths to least), the below would also get that done.
############ same as lollipop analysis above ############
# find the current death count by country
# covid_global_ttl <- covid_data_ts_glbl %>%
# group_by(country) %>%
# summarise(current_dead = max(cum_dead)) %>%
# arrange(desc(current_dead)) %>%
# filter(current_dead > 0)
# current death count by country
# covid_global_ttl
############ same as lollipop analysis above ############
Next, let’s look at the global impact felt by COVID-19. How many people have died from this disease so far?
# sort by date and show cumulative deaths
covid_global_daily <- covid_data_ts_glbl %>%
group_by(time) %>%
summarise(current_dead = max(cum_dead)) %>%
arrange(desc(time))
head(covid_global_daily)
# show total death rate globally
ttl_plt <- ggplot(covid_global_daily, aes(x=time, y=current_dead)) +
ylab("Cumulative Deaths") +
xlab("Dec '19 to Present") +
ggtitle("Worldwide Deaths from COVID-19") +
geom_line(stat="identity") +
# change theme to include grid for visible reference lines
theme_minimal()
ttl_plt
While this feels like a relatively new topic in the US, we see that COVID-19 fatalities actually started in December of last year. Deaths showed tremendous increases in February and have since flattened out a bit. Perhaps this is why “2019” follows the coronavirus term in most news?
Let’s expand on this by adding in colors to show the information by Country. We’ll only look at the top 8 countries (most human fatalities to-date) since it’s generally hard to distinguish between categorical variables using color after that numerical threshold has been crossed.
# narrow down country list until 8 or less categorical variables
# this ensures each is distinguishable
covid_data_filtered <- covid_data_ts_glbl %>% filter(cum_dead > 29)
# manually select colors that are distinct from one another
# https://medialab.github.io/iwanthue/
fill_manual <- c("#77b592",
"#7e46b8",
"#91cf53",
"#c2568d",
"#be9c56",
"#8e98c4",
"#c4513a",
"#4c3b3c")
top_count <- ggplot(covid_data_filtered, aes(x=time, y=cum_dead, fill=country)) +
geom_area() +
ggtitle('Confirmed Global Deaths From COVID 19', subtitle = 'running total by countries with 30+ deaths as of March 17, 2020') +
ylab("") +
xlab("") +
# change theme to include grid for visible reference lines
theme_minimal() +
scale_fill_manual(values=fill_manual) +
theme(legend.title=element_blank())
top_count
We again see that China is the leader of the pack. Italy is big, but it lags China’s start by over a month. The USA does make the top 8, though it’s the most recent country to show up on this plot. Thus, one might conclude that fatalities have just begun for us.
Next, let’s play around a little bit with a data visualization, ignoring best practices, to show total deaths to-date in a cumulative order and by country. Code inspired by GuangchuangYu.
# create spiral with all countries with deaths
# leveraging code, with edits, from https://github.com/GuangchuangYu/nCov2019/blob/master/example.R
install.packages("shadowtext")
install.packages("ggplotify")
require(shadowtext)
require(ggplotify)
glbl_dtaset <- covid_data_ts['global']
dd <- filter(glbl_dtaset, time == time(covid_data_ts)) %>%
arrange(desc(cum_confirm))
# prep data
dd = dd[1:40, ]
dd$country = factor(dd$country, levels=dd$country)
cols <- rev(RColorBrewer::brewer.pal(10, "RdYlGn"))
dd$angle = 1:40 * 360/40
label_cut = 150
i = dd$angle >= 180 & dd$cum_confirm > label_cut
dd$angle[i] = dd$angle[i] + 180
j = dd$angle < 180 & dd$cum_confirm < 1000
dd$angle[j] = dd$angle[j] - 90
dd$vjust = 1
dd$vjust[i] = 0
dd$vjust[j] = 0.5
dd$covid_data_ts = dd$cum_confirm *.8
dd$covid_data_ts[j] = dd$covid_data_ts[j] * .7
Now that the data has been prepared, we can plot it.
# plot data
spiral <- ggplot(dd, aes(country, cum_confirm, fill=cum_confirm)) +
geom_col(width=1, color='grey90') +
geom_col(aes(y=I(5)), width=1, fill='grey90', alpha = .2) +
geom_col(aes(y=I(3)), width=1, fill='grey90', alpha = .2) +
geom_col(aes(y=I(2)), width=1, fill = "white") +
scale_y_log10() +
scale_fill_gradientn(colors=cols, trans="log") +
geom_shadowtext(aes(label=paste(country, cum_confirm, sep="\n"),
y = covid_data_ts, angle=angle,
vjust=vjust),
data=function(glbl_dtaset) glbl_dtaset[glbl_dtaset$cum_confirm > label_cut,],
size=3, colour = "white", bg.colour="black",
fontface="bold") +
geom_text(aes(label=paste0(cum_confirm, ", ", country),
y = max(cum_confirm) * 2,
angle=angle+90),
data=function(glbl_dtaset) glbl_dtaset[glbl_dtaset$cum_confirm < label_cut,],
size=3, vjust=1) +
coord_polar(direction=-1) +
theme_void() +
theme(legend.position="none")
ggplotify::as.ggplot(spiral, scale=1.2, vjust=-.1)
Again, we see that China has felt the impacts moreso than other countries. If the USA is of interest to you, consider this NYT article.
John’s Hopkins is producing possibly the best data out there.
Note: Since I’m in Orlando, let’s focus on Florida. here is what the state is publishing. At time of publish, 173 confirmed and 6 deaths.
For more information and visualizations on the Coronavirus, I recommend this . This is another good one.
[THE END]


A Communal Alarms Application
Gjallarhorn is an Android alarm clock application where users can set alarms and have the alarm tone be a random sound from anyone in the world who has recorded and uploaded to our database. Along with setting alarms any user can record and upload their own alarm tone for others to use.
People across the world struggle with waking up in the morning, even with an alarm set. Developers have endeavoured to solve this issue with creative alarm apps, such as ones that require you to solve a puzzle to turn your alarm off, or that require you to take a picture of a set object in your home. It was determined that an alternate solution to the problem would be an alarm app that provides a new alarm tone every time, by choosing from sound bytes uploaded by users across the globe
Frontend Specifics
Backend Specifics


Find the rows where the third column matches “The Red Book of Westmarch” exactly
csvfind -i books.csv -o result1.csv -col=2 "The Red Book of Westmarch"
Find the rows where the third column (colums numbered 0,1,2) matches approximately “The Red Book of Westmarch”
csvfind -i books.csv -o result2.csv -col=2 -levenshtein \
-insert-cost=1 -delete-cost=1 -substitute-cost=3 \
-max-edit-distance=50 -append-edit-distance \
"The Red Book of Westmarch"
In this example we’ve appended the edit distance to see how close the matches are.
You can also search for phrases in columns.
csvfind -i books.csv -o result3.csv -col=2 -contains "Red Book"


Preparation time
1-2 hours
Cooking time
1 to 2 hours
Serves
Serves 6
Also know as Gloucestershire 'squab' pie: It is usually made with lamb or mutton rather than young pigeon.
For the filling, place the flour, sea salt and a good grinding of black pepper into a large bowl and mix well. Add the lamb pieces and toss well together until the meat is lightly coated with the seasoned flour.
Heat the rapeseed oil in a large frying pan and fry the lamb pieces for 3-4 minutes, in small batches, until golden-brown all over. Transfer the seared lamb meat to a large, heavy-based pan or flame-proof casserole and set aside.
Return the frying pan to the heat, adding more oil if necessary, then fry the onions for 5-6 minutes, or until golden-brown. Add the onions to the casserole with the lamb.
Add the nutmeg, allspice and rosemary to the casserole, then pour over the stock and the water. Bring to the boil, then reduce the heat and leave to simmer for 40 minutes, or until the lamb is just tender and the liquid has reduced to a the consistency of gravy. Season, to taste, with salt and freshly ground black pepper, then remove the pan from the heat, cover and leave to cool for 30 minutes.
Mix the apples together with the chopped sage and season with freshly ground black pepper. Set aside.
Meanwhile, for the pastry, sift the flour and salt into a bowl and rub in the lard and butter with your fingertips until the mixture resembles breadcrumbs.
Lightly whisk the egg together with the water, then place two tablespoons of the mixture into a separate bowl to use as a glaze for the pastry.
Make a well in the centre of the flour, lard and butter mixture and add the egg. Stir with a wooden spoon until the mixture comes together to form a dough, then shape into a ball. Lightly flour the work surface and knead the dough lightly, then flatten slightly into a round and wrap in cling film. Chill in the fridge for 30 minutes.
Preheat the oven to 200C/400F/Gas 6.
For the pie, spoon half of the lamb mixture into a 2.2 litre pie dish. Top with half the apples and cover with the remaining lamb mixture. Finish with a final layer of apples, piling them up above the edge of the dish. Ease a pie funnel into the centre of the pie to help support the pastry and set aside.
Unwrap the pastry and roll out into a large oval shape roughly 5cm/2in larger than the pie dish. Cut a 2cm/1in wide ring of pastry from around the edge of this oval.
Brush the rim of the pie dish with the reserved egg and water mixture. Press the pastry ring onto the rim of the pie dish, overlapping slightly at the end join. Brush lightly with a little more egg and then cover the pie completely with the rolled pastry, making a small hole for the top of the pie funnel.
Press the edges firmly to seal, then trim the pastry and flute all the way around. Brush the pastry with the remaining egg mixture and place the pie dish on a baking tray. Bake the pie in the centre of the oven for 25 minutes, or until the pastry is golden-brown and crisp.
Serve the pie piping hot with creamy mashed potatoes and seasonal vegetables.


public class Habit extends java.lang.Object implements Id
| Modifier and Type | Field and Description |
|---|---|
static int |
MAX_REASON_LENGTH |
static int |
MAX_TYPE_LENGTH |
| Constructor and Description |
|---|
Habit(java.lang.String type,
java.lang.String reason,
java.lang.String username) |
Habit(java.lang.String type,
java.lang.String reason,
java.lang.String username,
java.time.LocalDate startDate,
java.time.DayOfWeek... daysActive)
Constructor.
|
Habit(java.lang.String type,
java.lang.String reason,
java.lang.String username,
java.time.LocalDate startDate,
java.util.EnumSet<java.time.DayOfWeek> daysActive)
Constructor.
|
| Modifier and Type | Method and Description |
|---|---|
java.util.EnumSet<java.time.DayOfWeek> |
getDaysActive() |
java.lang.String |
getElasticId() |
java.lang.String |
getReason() |
java.time.LocalDate |
getStartDate() |
java.lang.String |
getType() |
java.lang.String |
getUsername() |
boolean |
hasValues()
This function is used to ensure that habits that are deserialized actually
have all of the required fields.
|
boolean |
isActiveToday()
Check if the habit is scheduled for this day of the week
|
void |
setDaysActive(java.time.DayOfWeek... days) |
void |
setDaysActive(java.util.EnumSet<java.time.DayOfWeek> daysActive) |
void |
setElasticId(java.lang.String id) |
void |
setReason(java.lang.String reason) |
void |
setStartDate(java.time.LocalDate startDate) |
void |
setType(java.lang.String type) |
void |
setUsername(java.lang.String username) |
boolean |
shouldBeDoneToday()
Check if this habit is active on this day, and if we have passed the start date
|
java.lang.String |
toString() |
public static final transient int MAX_REASON_LENGTH
public static final transient int MAX_TYPE_LENGTH
public Habit(java.lang.String type, java.lang.String reason, java.lang.String username) throws HabitReasonTooLongException, HabitTypeTooLongException
type
- the type of habit. E.g., "Exercise"reason
- reason for doing the habit. E.g., "to get healthy"username
- username that this habit belongs toHabitTypeTooLongException
- when the type is longer than the allowed maxHabitReasonTooLongException
- when the reason is longer than the allowed maxpublic Habit(java.lang.String type, java.lang.String reason, java.lang.String username, java.time.LocalDate startDate, java.time.DayOfWeek... daysActive) throws HabitTypeTooLongException, HabitReasonTooLongException
type
- the type of habit. E.g., "Exercise"reason
- reason for doing the habit. E.g., "to get healthy"username
- username that this habit belongs tostartDate
- day to start working on this habitdaysActive
- days of the week to do this habitHabitTypeTooLongException
- when the type is longer than the allowed maxHabitReasonTooLongException
- when the reason is longer than the allowed maxpublic Habit(java.lang.String type, java.lang.String reason, java.lang.String username, java.time.LocalDate startDate, java.util.EnumSet<java.time.DayOfWeek> daysActive) throws HabitTypeTooLongException, HabitReasonTooLongException
type
- the type of habit. E.g., "Exercise"reason
- reason for doing the habit. E.g., "to get healthy"username
- username that this habit belongs tostartDate
- day to start working on this habitdaysActive
- the days of the week that we are scheduled to do this habitHabitTypeTooLongException
- when the type is longer than the allowed maxHabitReasonTooLongException
- when the reason is longer than the allowed maxpublic boolean isActiveToday()
public boolean shouldBeDoneToday()
public java.lang.String getElasticId()
public java.lang.String getType()
public void setType(java.lang.String type) throws HabitTypeTooLongException
type
- the type of habit. E.g., "Exercise"HabitTypeTooLongException
- when type is too longpublic java.lang.String getReason()
public void setReason(java.lang.String reason) throws HabitReasonTooLongException
reason
- the reason for doing this habit. E.g., "to get healthy"HabitReasonTooLongException
- when the reason is longer than the maximumpublic java.lang.String getUsername()
public void setUsername(java.lang.String username)
username
- the username of who created this habitpublic java.time.LocalDate getStartDate()
public void setStartDate(java.time.LocalDate startDate)
startDate
- the day that we want to start doing this habitpublic java.util.EnumSet<java.time.DayOfWeek> getDaysActive()
public void setDaysActive(java.util.EnumSet<java.time.DayOfWeek> daysActive)
daysActive
- the days of the week that we are scheduled to do this habitpublic void setDaysActive(java.time.DayOfWeek... days)
days
- the days of the week that we are scheduled to do this habitpublic boolean hasValues()
public void setElasticId(java.lang.String id)
setElasticId
in interface Id
id
- the id that is used in elastic search. E.g., api/habit/{id}public java.lang.String toString()
toString
in class java.lang.Object


{{< layout-csig}}
{{$pageTitle}}Track a passport application{{/pageTitle}}
{{$back}}
{{/back}}
{{$content}}
{{< hmpo-partials-form}}
{{$form}}
You need a countersignature
Your passport application is on hold.
You need to ask someone to fill in and sign a form to confirm your identity. This is known as getting a countersignature.
We've posted a form to you.
What you need to do
Find out who you can ask to countersign your passport application.
If someone has already confirmed your identity for this passport application, ask a different person this time.
After they've filled in and signed the form, return it to us.
What happens next
We may contact the person who signed the form. We'll carry on with your application once we've made this check.
If you chose to get updates, we'll send you an email or text when your application is approved.
{{> partials-csig-sidebar}}
Application history
| Countersignature needed: on hold |
10:05am on 23 July 2018 |
| New photo received |
10:05am on 23 July 2018 |
| Photo rejected |
10:05am on 23 July 2018 |
| Old passport received |
10:05am on 22 July 2018 |
| Joined processing queue |
10:05am on 21 July 2018 |
| Application received |
10:05am on 20 July 2018 |
| Application submitted |
10:05am on 19 July 2018 |
{{/form}}
{{/ hmpo-partials-form}}
{{> partials-tracking-tracking-fta-links}}
{{/content}}
{{$sidebar}}
{{> partials-csig-sidebar}}
{{/sidebar}}
{{/ layout-csig}}


Standard task
Task name
Small task description Lorem ipsum Soon overdue task
Task name
Small task description Lorem ipsum Overdue task
Task name
Small task description Lorem ipsum- Marc: Don't forget to tell the client - Yesterday
- John: I suggest you could ask Dan or Sandy for a little help - 2 hours ago


https://docs.python.org/3/tutorial/controlflow.html
The 'for' statement is used to iterate over the elements of an iterable object.
# Syntax. for item in iterable: statements # item is processed if condition1: break # optional, terminate the loop without executing 'else' if condition2: continue # optional, go to the next item from iterable statements else: # optional, terminate the loop statements # executed if 'break' was not used, even for an empty iterable # Warning: the name 'item' is created only if 'iterable' is not empty! # Range-based for loop in C++ (since C++11) # for (auto item : container) statement # for (auto& item : container) statement
word = "Python" for char in word: # use decriptive names if char == "o": break # characters printed: 'P', 'y', 't', 'h' print(char) assert char == "o" # 'char' is alive
fruits = ["apple", "pear", "plum", "apricot"] # use plural when possible for fruit in fruits: if fruit[0] == "a": continue # skipping "apple" and "apricot" print(fruit) assert fruit == "apricot" # What if we need an index? for i in range(len(fruits)): # C style print("{} {}".format(i, fruits[i])) for (i, fruit) in enumerate(fruits): # recommended print("{} {}".format(i, fruit)) [c*i for (i, c) in enumerate("abcd")] # ["", "b", "cc", "ddd"]
# loop over pairs for t in [(1. "one"), (2, "two"), (3, "three")]: print("first {} second {}".format(t[0], t[1])) # better version with unpacking for (a, b) in [(1. "one"), (2, "two"), (3, "three")]: print("first {} second {}".format(a, b))
# Code that modifies a collection while iterating over that same collection # can be tricky to get right. # It is safe to extend the list (append at the end). # It is not safe to add or remove an item in the middle of the list. L = [0, 1, 2, 3, 4, 5] for i in L: print(i) if (i % 2) == 1: # if i is odd then extend the list L.append(2 * i) # adding two even numbers L.append(4 * i)
L = [0, 1, 2, 3, 4, 5] for i in L[:]: # use copy in the loop [or list(L)] if (i % 2) == 1: L.remove(i) # changing the original list # Better solution (filtering). new_list = [i for i in L if (i % 2) != 1]
# Looping over a sequence in reverse. for char in reversed("qwerty"): # 'reversed object' print(char) # y, t, r, e, w, q
# Looping over a sequence in sorted order. for char in sorted("qwerty"): # ['e', 'q', 'r', 't', 'w', 'y'] print(char)
# Looping over two or more sequences at the same time. letters = ["a", "b", "c", "d"] numbers = [10, 20, 30, 40] for (letter, number) in zip(letters, numbers): print("{} {}".format(letter, number))
# Eliminating duplicate elements. for char in set("abracadabra"): # 'a', 'c', 'd', 'b', 'r' print(char)
# Using all() and any(). L = [1, 2, 4, 5] if all(x % 2 == 0 for x in L): print("all numbers are even") if any(x % 2 == 0 for x in L): print("there is an even number on the list")


#PROJECTS WEBSITE #FULLYSELFCODED
Scroll Down to see what we have made
#ABOUT
We are giving all the necessary information like helpline numbers,what to do etc
We follow all the commands and instructions and is fully safe.
We use Good UI ,so that the user could understand the consequences clearly.
Upcoming Feature of this project
#PLANS
☆ Integrate with other website and can do it in a large scale
☆ Integrate in Facebook Messenger
☆ Integrate in Telagram Chat as a bot.


class: left, middle, inverse, title-slide #
Does Playing in Elite Tournaments Affect Performance?
##
### İlhan Güner and Mehdi Hamidi Sahneh
University of Kent
School of Economics
### EEA Virtual 2020
Slides available at
https://gunerilhan.github.io/img/EEA-presentation/spillovers
--- .pull-left[ ### Motivation - How does interaction with elite peers affect performance? - Referred as "spillover effects" or "peer effects" - Analyzed in many settings: sports, classrooms, innovators, ... - Estimating spillover effects is difficult because of - non-random selection into treatment - We analyze spillovers by - using Europan football as labaratory - by relying on a quasi-experimental design - following Abdulkadiroğlu, Angrist, and Pathak (2014), elite illusion ] .pull-right[

 Source: The New Yorker  ] --- ### Research Question:

 How much does interaction with elite peers affect performance?
 -- .left[
 More specifically:
]
 How much does playing in UEFA Champions League affect team performance in domestic leagues?
 --- ### Empirical Strategy
 - Each season a few teams are eligible to play in the UEFA Champions League (UCL) - This leads to a discontinuity in exposure to elite peers - We exploit this discontinuity to analyze spillover effects -- - The *causal effect of UCL* is about - +10 pecentage points increase in probability of winning a game - +0.3 goal difference per game on average --- class: inverse, center, middle name: Data # Data

 --- ### Data Description
 - A new data set of European football at the game level, including - actual result, location, betting market odds, end of league tables, transfer fees,
 and manager (coach) changes.
 - *Top Five* European countries: England, Germany, Italy, Spain, and France
 - Information on the universe of football games for the period 2000-2020
 - We pool data across countries and seasons into a single sample
 --- name: uefa ### UEFA Champions League .pull-left[ - UCL is an annual club football competition organized by UEFA - UCL is the most prestigious club competition in European football, contested by 32 clubs - Players are exposed to better quality peers in UCL - The clubs that played in the 2018/19 UCL have shared about €2 bn in payments from UEFA - Plus matchday revenues, sponsorship deals, bargaining power in the transfer market, etc ] .pull-right[

 Source: www.transfermarkt.co.uk  ] --- .pull-left[ ### UCL Qualification - Consider a national league with `\(N\)` teams in season `\(t\)` - Each team plays two matches against each opponent - Outcome of each match is decided based on goal difference (GD) - A positive GD indicates win (3 points), zero draw (1 point), and negative loss (0 point) - Position is based on the total number of points at the end of season - Each league has a UEFA allocated quota for UCL ] .pull-right[
 UCL Qualification Example: EPL (2014-15)

 Source: Wikipedia  ] --- ### Eligibility vs Participation .pull-left[ - The eligibility is a deterministic function of the number of points `\begin{equation*} \text{Elig}_{i,l,t} = 1(\text{Pts}_{i,l,t} \geq \text{Pts}^*_{l,t}), \end{equation*}` where `\((\text{Pts}^*_{l,t})\)` is the **country-season specific threshold**, defined as average points of the best ineligible team and worst eligible team - Eligibility does not gurantee playing in the UCL - Some teams need to play qualifying games - Non-eligible teams can still play in the UCL - For example, by winning Europa League - Hence, fuzzy regression discontinuity design ] -- .pull-right[
 Share of Teams Participated in the UCL
   .center[*Participation in the UCL group stage. The sample includes teams from top 5 European countries (2000-2020), near the threshold.*] ] --- ### Empirical Strategy
 - Estimate model parameters using fuzzy regression discontinuity design (RDD) - We estimate variants of the following regression model `\begin{equation*} Y_{i,j,h,l,t+1} = \gamma_0 + \gamma_1 \text{UCL}_{i,l,t} + f(S_{i,l,t}) + \nu_{i,l,t+1}, \end{equation*}` where `\(S_{i,l,t} \equiv \frac{Pts_{i,l,t}-Pts^*_{l,t}}{Std(Pts_{i,l,t})}\)` is the centered points - `\(\text{Elig}_{i,l,t}\)` is an instrument for `\(\text{UCL}_{i,l,t}\)` - We assume that `\(f(.)\)` can be described by low-order polynomial --- ### Measures of Performance

 - At the match level: - Goal difference (Ex-Post): the number of goals scored minus the number of goals conceded - Probality margin (Ex-ante): betting market determined probility of winning minus the probability of losing - We conduct analysis using both measures - Focus on the probability margin in this presentation --- ### *(Ex-Ante)* Measure of Performance: [Probability Margin](#pm-detail) - We use kick-off odds on football matches from 13 major online bookmakers: Bet365, BWin, ... - From the odds, we calculate *ex-ante* probability of different events - Probability margin of winning (PM), defined as probability of winning minus probability of loosing #### Example | Date | Home Team | Away Team | B365 Away | B365 Draw| B365 Home | Score | | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | |06/05/18 |Barcelona | Real Madrid | 4.50 | 4.33 | 1.66 | 2-2| **Probabilities** | Barcelona winning | Real Madrid Winning | Draw | |:---: | :---: | :---: | | 57% | 21% | 22% | **Probability margin** - `\(PM_{Bar,Mad,H,ESP,2018} = 57-21=36\%, \quad \quad\)` `\(PM_{Mad,Bar,A,ESP,2018} = 21-57=-36\%\)` --- name: validity ### [RD Validity Checks](#validity-late)

 - No discontinuity on the disribution of the running variable - No discontinuity on the predetermined variables --- class: inverse, center, middle name: empirics # Empirical Results

 --- ### Discontinuity in the [Prob. Margin of Winning (t+1)](#gd) .pull-left[
 Prob. Margin of Winning After Qualification
   .center[*Discontinuity in subsequent probability margin of winning based on quadratic regression.*] ] .pull-right[
 RDD Estimates
  |Specification| (1) | (2) | (3) | (4) | |--- | :---: | :---: | :---: | :---: | |Estimate | `\(0.100^{***}\)`| `\(0.116^{***}\)` | `\(0.103^{***}\)` | `\(0.111^{***}\)`| |Std. Error | 0.035 | 0.041 |0.030 |0.036 | |Pol. Order | 1 | 2 | 1 | 2 | |Method | Robust | Robust |Conven.| Conven.| |Eff. Sample Size | 16,544 | 27,827 | 16,544 | 27,827 | .left[
 **Notes:** _Estimates are based on a MSE-optimal bandwidth and uniform kernel. All specifications include a season and league fixed effects. Estimated standard errors are two-way clustered at the team-season levels. `\(^{***}\)` Significant at the 1 percent level._
] ] --- class: inverse, center, middle name: mechanisms # Mechanisms

 --- ### Mechanisms through which UCL affects performance - Money and prestige - Hire better managers - Hire better players - Spillover effects - Players takes training sessions more seriously to be able to compete in UCL - Translates into physical fitness and tactical discipline - Helps in domestic games - Learning from elite players - We rule out the former, and argue for the latter channel - Run the same results with teams that did not change their managers in the previous summer - Look at the transfer fees of incoming and outgoing players --- ### Still significant on teams with no managerial changes .pull-left[
 Prob. Margin of Winning After Qualification
   .center[*Discontinuity in subsequent probability margin of winning based on quadratic regression.*] ] .pull-right[
 RDD Estimates
  |Specification| (1) | (2) | |--- | :---: | :---: | |Estimate | `\(0.1^{**}\)` | `\(0.1^{**}\)` | |Std. Error | 0.05 | 0.044| |Pol. Order | 2 | 2 | |Method | Robust | Conven. | |Eff. Sample Size | 17,711 | 17,711| **Notes:** _Estimates are based on a MSE-optimal bandwidth and uniform kernel. All specifications include a season and league fixed effects. Estimated standard errors are two-way clustered at the team-season levels. `\(^{**}\)` Significant at the 5 percent level._ ] --- ### No discontinuity on transfer fees .pull-left[
 Transfer Fees After Qualification
   .center[*Discontinuity in transfer fees based on quadratic regression.*] ] .pull-right[
 RDD Estimates
  |Specification| (1) | (2) | |--- | :---: | :---: | |Estimate | 1.62 | 1.22 | |Std. Error | 1.148 | 1.013| |Pol. Order | 2 | 2 | |Method | Robust | Conven. | |Eff. Sample Size | 7,100 | 7,100| **Notes:** _Estimates are based on a MSE-optimal bandwidth and uniform kernel. All specifications include a season and league fixed effects. Estimated standard errors are two-way clustered at the team-season levels. `\(^{*}\)` Significant at the 10 percent level._ ] --- class: inverse, center, middle name: Conclusions # Conclusion

 --- ### Conclusion

 - Playing in the UCL improves subsequent performance by 10 percentage points in prob. margin of winning a game and 0.3 goals - The improvement is large, statistically significant, and robust across different specifications - By ruling out the money channel, we argue that spillover effects is the main channel. - Players take their training sessions more seriously and gain physical fitness and tactical discipline - Learning from other elite players --- class: inverse, center, middle name: Thank You # Thank You!

 --- name: pm-detail ### Step 1: Odds to Probability | Date | Home Team | Away Team | B365 Away | B365 Draw| B365 Home | Score | | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | |06/05/18 |Barcelona | Real Madrid | 4.50 | 4.33 | 1.66 | 2-2|
 `\begin{equation*} \text{Implied probability} = \frac{1}{\text{Decimal odds}} \times 100 \end{equation*}`
 `\begin{gather*} p_h = \frac{1}{o_h} \times 100 = \frac{1}{1.66} \times 100 = 60.2\%\\ p_d = \frac{1}{o_d} \times 100 = \frac{1}{4.33} \times 100 = 23.1\%\\ p_a = \frac{1}{o_a} \times 100 = \frac{1}{4.50} \times 100 =22.2\% \end{gather*}` --- ### Step 2: Fair Probability <br> .pull-left[ - Normalize probabilities: - `\(p^*_h = \frac{p_h}{p_h+p_d+p_a}\)` - `\(p^*_d = \frac{p_d}{p_h+p_d+p_a}\)` - `\(p^*_a = \frac{p_a}{p_h+p_d+p_a}\)` ] .pull-right[ - In our example - `\(p^*_h = \frac{60.2}{105.6}= 57\%,\; (p_h = 60.2\%)\)` - `\(p^*_d = \frac{23.1}{105.6}=21.9\%,\; (p_d = 23.1\%)\)` - `\(p^*_a = \frac{22.2}{105.6}=21\%,\; (p_a = 22.2\%)\)` ] --- ### Step 3: [Probability Margin](#validity) - The difference between team `\(i\)` winning probability and team `\(j\)` winning probaility `\begin{equation*} PM_{i,j,l,c,t} = p^*_{i,l,c,t}- p^*_{j,l,c,t}, \; \text{ for all } i \neq j \end{equation*}` where `\(i\)` is the team, `\(l \in \{Home\text{ or } Away \}\)`, `\(c\)` is the country, and `\(t\)` is the season --
 ### Example | Date | Home Team | Away Team | B365 Away | B365 Draw| B365 Home | Score | | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | |06/05/18 |Barcelona | Real Madrid | 4.50 | 4.33 | 1.66 | 2-2|
 .pull-left[ - `\(p^*_h = 57\%\)` - `\(p^*_d = 21.9\%\)` - `\(p^*_a = 21\%\)` ] .pull-right[ - `\(PM_{Bar,Mad,H,ESP,2018} = 57-21=36\%\)` - `\(PM_{Mad,Bar,A,ESP,2018} = 21-57=-36\%\)` ] --- ### Predictions vs Realizations
 Probability of Different Events vs Actual Outcomes

   .center[*Market Probability is the probability that the market predicts a team will beat the other team (Home or Away team winning probabilities) or the game will result in a draw, and Actual Probability refers to actual success rate.*] --- name: validity-late class: inverse, center, middle ### RD Validity Checks

 --- ### No discontinuity on the disribution of the running variable
 Density of Running Variable
   .center[*Density of the running variable with bins of width 0.1
 and corresponding Cattaneo, Jansson and Ma (2019) test statistic = 0.303 ( _p_-value=0.762).*] --- ### No discontinuity on the predetermined variables .pull-left[
 Probability Margin of Winning Before Qualification
   .center[*Discontinuity in probability margin of winning in season t-1, based on quadratic regression.*] ] .pull-right[
 RDD Estimates
  |Specification| (1) | (2) | (3) | (4) | |--- | :---: | :---: | :---: | :---: | |Estimate | 0.058 | 0.045 | `\(0.076^*\)` | 0.060 | |Std. Error | 0.047 | 0.058 |0.040 | 0.051 | |Pol. Order | 1 | 2 | 1 | 2 | |Method | Robust | Robust |Conven.| Conven.| |Eff. Sample Size | 14,097 |21,610 | 14,097 | 21,610 | **Notes:** _Estimates are based on a MSE-optimal bandwidth and uniform kernel. All specifications include a season and league fixed effects. Estimated standard errors are two-way clustered at the team-season levels. `\(^{*}\)` Significant at the 10 percent level._ ] --- ### [No discontinuity on the predetermined goal differences](#empirics) .pull-left[
 Goal Difference Before Qualification
   .center[*Discontinuity in goal difference in season t-1, based on quadratic regression.*] ] .pull-right[
 RDD Estimates
  |Specification| (1) | (2) | (3) | (4) | |--- | :---: | :---: | :---: | :---: | |Estimate | 0.169 | 0.116 | `\(0.223^*\)` | 0.163 | |Std. Error | 0.150 | 0.175 |0.130 | 0.157 | |Pol. Order | 1 | 2 | 1 | 2 | |Method | Robust | Robust |Conven.| Conven.| |Eff. Sample Size | 14,097 |23,766 | 14,097 | 23,766 | **Notes:** _All specifications include a season and league fixed effects. Estimated standard errors are two-way clustered at the team-season levels. `\(^{*}\)` Significant at the 10 percent level._ ] --- name: gd ### Discontinuity in the [Goal Difference (t+1)](#mechanisms) .pull-left[
 Goal Difference After Qualification
   .center[*Discontinuity in subsequent goal difference based on quadratic regression.*] ] .pull-right[
 RDD Estimates
  |Specification| (1) | (2) | (3) | (4) | |--- | :---: | :---: | :---: | :---: | |Estimate | `\(0.290^{**}\)`| `\(0.314^{**}\)` | `\(0.292^{***}\)` | `\(0.312^{**}\)`| |Std. Error | 0.123 | 0.150 |0.107 | 0.136 | |Pol. Order | 1 | 2 | 1 | 2 | |Method | Robust | Robust |Conven.| Conven.| |Eff. Sample Size | 20,281 | 29,231| 20,281 | 29,231| **Notes:** _Estimates are based on a MSE-optimal bandwidth and uniform kernel. All specifications include a season and league fixed effects. Estimated standard errors are two-way clustered at the team-season levels. `\(^{***}\)` Significant at the 1 percent level. `\(^{**}\)` Significant at the 5 percent level._ ] --- ### No managerial changes .pull-left[
 Goal Difference After Qualification
   .center[*Discontinuity in subsequent goal difference based on quadratic regression and a bandwidth of 10.*] ] .pull-right[
 RDD Estimates
  |Specification| (1) | (2) | |--- | :---: | :---: | |Estimate | `\(0.34^{*}\)` | `\(0.302^{*}\)` | |Std. Error | 0.2 | 0.181| |Pol. Order | 2 | 2 | |Method | Robust | Conven. | |Eff. Sample Size | 15,809 | 17,809| **Notes:** _Estimates are based on a MSE-optimal bandwidth and uniform kernel. All specifications include a season and league fixed effects. Estimated standard errors are two-way clustered at the team-season levels. `\(^{*}\)` Significant at the 10 percent level._ ]


mixed wincache_ucache_inc ( string $key [, int $inc_by = 1 [, bool &$success ]] )
Increments the value associated with the key by 1 or as specified by inc_by.
Returns the incremented value on success and FALSE on failure.


ALIEN 3 A film review by Ken Johnson Copyright 1992 Ken Johnson
109 min., R, Science Fiction, 1992 Director: David Fincher Cast: Sigourney Weaver, Charles Dance, Charles S. Dutton, Lance Henriksen
*Contains Spoilers for ALIENS*
Well, if it isn't the season for sequels. ALIEN 3 and LETHAL WEAPON 3 are currently playing in the theaters. HONEY, I BLEW UP THE KID and BATMAN RETURNS are coming to the theaters during the summer. CLASS OF NUKE 'EM HIGH 2: SUBHUMANOID MELTDOWN, WAXWORK 2: LOST IN TIME, and VICE ACADEMY 3 (all direct to video releases I think) just recently hit video. I just saw ALIEN 3 and I hope to soon see LETHAL WEAPON 3.
All of the survivors of ALIENS, except for Sigourney Weaver, die, when their life support pods crash on a planet. The planet is an old maximum security prison, where all the prisoners have taken a vow of celibacy. An alien facehugger had snuck into the pod ship and is now in the prison.
I was rather disappointed with ALIEN 3. I feel that ALIEN, a five-star movie, is one of the best horror/sci-fi flicks out and that ALIENS, a four star movie, is a good sci-fi film. I was expecting a wonderful film for ALIEN 3 filled with elaborate sets, a great continuation of the alien story, and great special effects. Two out of three aren't bad, the sets were great and I have no complaints about the special effects. The story, however, leaves something to be desired. On a scale of zero to five, I give ALIEN 3 a three. ALIEN 3 is rated R for graphic violence and explicit language.
Basically I enjoyed seeing ALIEN 3, the problem being that the film got marred by the story line. The story for ALIEN 3 looks like it was thrown together and released because the producers figured that people would flock to see another alien movie. Well, people, at least in my town, are flocking to see the movie. I think the 9:30 PM showing I went to got sold out.
The acting in the movie is great. Charles S. Dutton (of FOX's "ROC" and MISSISSIPPI MASALA) is my favorite person in the film. Even though he is a prisoner he seems to have the most caring and compassion, although sometimes he doesn't show it. Lance Henriksen (Bishop in ALIENS) is back, although this time as the creator of Bishop. Sigourney Weaver is starting to get a little tiresome. Of course, the alien is great!
If the first two alien movies hadn't been so good, or if this film were standing alone, I think that it would have gotten a higher rating. But it had a lot of expectations to live up to, and compared to the other two alien movies, it doesn't fare too well. I hope that there will be no ALIEN 4 because I think that they have run out of good ideas.
The Alien films have been very highly spoofed. Part of the reason for this is that the it has been such a good series that almost everybody has seen at least one of the films. ALIEN has been spoofed in films like Mel Brooks's SPACEBALLS and on television in shows like, the British comedy series "Red Dwarf," and I seem to remember a "Saturday Night Live" skit spoofing ALIEN.
I highly suggest that if you plan to see this film, that you re-watch ALIEN and ALIENS, for this film takes off where ALIENS left off. I do see no reason why you should go to the theater to see this film. It is marginal whether it is worth seeing at a theater, but would probably be worth seeing on video.
Ken J<EMAIL_ADDRESS>.
The review above was posted to the
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Related links: index of all rec.arts.movies.reviews reviews


In a match with
someone with a different occupation,
You will need strength and courage
to achieve victory.


Unemployed WA
Home of the Western Australian Branch of the AUWU.
Join us at one of our
meetings.
Useful Links:
Australian Unemployed Workers Union (AUWU).
Universal Basic Income (UBI).
Chat to us on
discord
.
Contact us:
<EMAIL_ADDRESS>Source:
https://github.com/procrasti/unemployedwa
.


Tablet of Vision:
The tablet responds to the presence of the Stone of Commune with a loud buzzing.
Touch the Stone of Communeto the Tablet of Vision.


Documentation
Table of contents
- Introduction
- Usage examples
- Problems
- Building problems
- Default problems
- Languages
- Fitness evaluation
- Tasks
- Tasks model
- Scheduling tasks
- Experiments
- Building experiments
- Distributed computing
- Network configuration
- Options
- Graphical interface
- Experiment building panes
- Search visualization
- Explorer panes
- Configuration panes
- Reporting results


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> Pain!
> You break me down, you build me up, believer, believer
>
> Imagine Dragons
When I was in the Army, I was a cross-country runner. I was pretty good at it. I’d get my second wind quickly and then I felt like I could actually run at a good pace forever. I considered running competitively and even started looking for marathons outside of the Army. But when my knee started hurting I stopped running. I didn’t realize that athletes consider pain to be an integral part of their sport. Hell, I never felt like a real athlete anyway. My knee still hurts all the time, but I often wonder what I missed.
Now, I’m a Web Developer. A while ago, I started to feel pain in my hand. It got bad and then, even after corrective surgery, it got much worse. So, I stopped working… stopped doing anything, really, just because my hand hurts… WTF!? Didn’t I already learn this lesson?!
I never anticipated the intense chronic pain, but that doesn’t matter.  I can still use my hand and it’ll hurt no matter what I do. So… less Netflix, YouTube, and FMovies… More HTML, CSS, JavaScript, React, Vue, etc…
I might not be as productive as I’d like, especially with the pain and impending doom spine surgery, but that’s no excuse to do nothing.
… To be continued…
AdSense: Rejected 😓
I’ve been putting some effort into bringing my blog back to life. I’d like it to be a source of income, so I started looking into Google AdSense.
A few days later, I received an email telling me “Your site isn’t ready to show ads” because of a violation of Google’s Site Behavior policy regarding navigation:
> Examples of misguided navigation include, but are not limited to:
>
> - False claims of downloadable or streaming content
> - Linking to content that does not exist
> - Redirecting users to irrelevant and/or misleading webpages
> - Text on a page unrelated to the topic and/or business model of the website.
🤔… Okay, but this site definitely doesn’t have any of those things. It’s just me writing what’s on my mind. It does have some old articles that have external links, though. I’ve posted [a question](https://support.google.com/adsense/thread/181880337?hl=en) on the Google AdSense help forum. In the mean time, I’ll make sure there are no broken links. Since this is a WordPress site, I think I’ll give the [Broken Link Checker](https://wordpress.org/plugins/broken-link-checker/) plugin a try.
AdSense Help: Rejected
Update, 2nd October 2022
After I went through every link in every article, my question on the Google AdSense Help forum was flagged as a duplicate, locked to prevent further discussion, and linked to Two of the most common reasons for site disapproval [AdSense Pro Post]. I suppose the reason for rejection that was given by Google AdSense is meaningless and it’s all about content and traffic.
I thought AdSense might approve my site before I do the work to build an audience. After all, low traffic also means they don’t have to pay out. They’ve got a point, though. Without interesting content, the site might as well not exist… It’s time to write some interesting content.


RL
Gym
Download
Introduction
Getting Started
Documentation
Tutorials
Tools
FAQs
Troubleshooting
Introduction
Getting Started
Documentation
Tutorials
Tools
FAQs
Troubleshooting


Users basic¶
Description¶
This role provides a very basic users management, for simple clusters.
Instructions¶
Create file inventory/group_vars/all/addons/users_basic.yml with the following content:
users_basic:
users:
- name: johnnykeats
uid: 1078
gid: 1078
home: /home
shell: /bin/bash
comment: dream all the day # optional
password: $6$M3crarMVoUV3rALd$ZTre2CIyss7zOb4lkLoG23As9OAkYPw2BM88Y1F43n8CCyV5XWwAYEwBOrS8bcCBIMjIPdJG.ndOfzWyAVR4j0
Then edit this file according to your needs, and play this role on all hosts with users, including slurmctld server if using slurm.
Available arguments for each user are:
name
uid
gid
password
state
groups (optional)
create_home (optional)
update_password (optional)
shell (optional)
home (optional)
generate_ssh_key (optional)
ssh_key_bits (optional)
ssh_key_file (optional)
remove (optional)
comment (optional)
To ensure a user is not on a system, set state to “absent”. To also remove its home, set remove to “yes”.
To generate an sha512 password, use the following command (python >3.3):
python -c 'import crypt,getpass; print(crypt.crypt(getpass.getpass(), crypt.mksalt(crypt.METHOD_SHA512)))'
Or (python 2):
python -c "import crypt,random,string; print crypt.crypt(raw_input('clear-text password: '), '\$6\$' + ''.join([random.choice(string.ascii_letters + string.digits) for _ in range(16)]))"
Changelog¶
1.1.0: Role enhancement. New inventory structure. Benoit Leveugle<EMAIL_ADDRESS>1.0.1: Documentation and resources. johnnykeats<EMAIL_ADDRESS>1.0.0: Role creation. Benoit Leveugle <benoit.leveugle@gmail.com>


Module libr35.descent2e.monster-info.MonsterInformationHelper
Save the current object state
Functions
| clean_up_board () | Clean up created figs and health counters |
| do_nothing () | Named aptly, this does nothing |
| flatten_dice_data (dice) | Flatten the dice data structure into a table of strings |
| load_monster_data (name, act, callback) | Load Monster Data |
| onLoad (saved_data) | Called when TTS is creating the object |
| parse_monster_card_name (card_name) | Parse the monster card in the box on the mat The expected format is "Monster Name (Act I)" or "Monster Name (Act II)" |
| reset_dice_indicators () | Reset the Dice Indicators to invisible |
| setup_dice_for (target_label, params) | Helper function to setup dice by button label |
| setup_lieutenant_dice_indicators () | Setup the Lieutenant dice indicators |
| setup_master_dice_indicators () | Setup the master dice indicators |
| setup_minion_dice_indicators () | Setup the minion dice indicators |
| setup_monster () | Setup the monster based on the card that has been left inside the box |
Functions
- clean_up_board ()
- Clean up created figs and health counters
- do_nothing ()
- Named aptly, this does nothing
- flatten_dice_data (dice)
-
Flatten the dice data structure into a table of strings
Parameters:
- dice
Returns:
-
Table of dice colors, repeated for each count
- load_monster_data (name, act, callback)
-
Load Monster Data This will call the r35 Descent 2e Monster Information API
to get details about the card in the cardbox
Parameters:
- name string Name of the monster (or lieutenant)
- act string|integer The act for the monster (or lieutenant)
- callback
function
WebRequest
callback function
- onLoad (saved_data)
-
Called when TTS is creating the object
Parameters:
- saved_data string The object's persisted state
- parse_monster_card_name (card_name)
-
Parse the monster card in the box on the mat
The expected format is "Monster Name (Act I)" or "Monster Name (Act II)"
Parameters:
- card_name string The name of the card object being parsed
- reset_dice_indicators ()
- Reset the Dice Indicators to invisible
- setup_dice_for (target_label, params)
-
Helper function to setup dice by button label
Parameters:
- target_label string the button label that will be looked up
- params table
See also:
- setup_lieutenant_dice_indicators ()
-
Setup the Lieutenant dice indicators
See also:
- setup_master_dice_indicators ()
-
Setup the master dice indicators
See also:
- setup_minion_dice_indicators ()
-
Setup the minion dice indicators
See also:
- setup_monster ()
- Setup the monster based on the card that has been left inside the box


University of California, Berkeley recently registered for this fair
Fair capacity reduced to 120 due to social distancing measures
The venue for this fair has changed. Find the new info here.
Fastrack applications for this fair are closed now
The dates for this fair may be moved. Stay tuned!
NEW YORK, March 17, 2020 — It’s nail-biting season for the three million high school seniors applying to college — and for their equally anxious parents. Now through April, college decision letters and financial aid award offers are landing in inboxes and mailboxes nationwide. According to The Princeton Review® — the education services company that has helped students research and gain admission to colleges since 1981 — stress levels among applicants and their parents this year are high. So are worries about footing the bills should their ideal college say “You’re in!”
For many prospective college students, taking the SATs and ACTs is a nerve-wracking, anxiety-producing experience. While the SAT can certainly help some students by potentially acting as a type of equalizer for those with lower high school grades, a growing body of research shows that placing so much weight in these types of exams can cause crippling anxiety. In 2018, Jennifer Heissel, an associate professor at the Graduate School of Business and Public Policy at the Naval Postgraduate School, studied stress levels from a group of New Orleans elementary school students before and after they took a standardized test. The findings did not bode well for the exams. The test increased the children's cortisol (a stress hormone) levels, which in turn led to poor results.
The West Coast of the US might only be made up of three states, but that doesn’t mean it is lacking in excellent universities. Home to some of the best universities in the country, the West Coast is a good place to head to if you are looking for beautiful nature and bustling cities and towns. There are many points of interest that should be on every traveller’s bucket list, including Seattle Harbour, Big Sur, Lake Tahoe, the Grand Canyon, Las Vegas and so much more. As a student, you’ll never run out of things to do if you head to the West Coast to study and you won’t be lacking in choice of great colleges.


| recode_switches {voteswitchR} | R Documentation |
Recodes raw aggregate switching patterns according to a
user-supplied factor variable included in a (possibly user-supplied) version
of mappings
.
recode_switches( switches, subgroup = NULL, stack_by_subgroup = FALSE, assign_others = NULL, mappings = NULL, switch_factor, type = c("elections", "party-elections") )
switches |
Aggregate counts of switches as generated by
|
subgroup |
A character that specifies the column-name of electorate subgroups.
Should be |
stack_by_subgroup |
Logical; if |
assign_others |
Optional: A character that specifies a level for residual
other parties for which |
mappings |
A copy of |
switch_factor |
Column name of a factor variable in |
type |
Specifies whether to return election-specific voter-transition
matrices ( |
Returns the supplied data frame mappings
, extended by columns
for each switching pattern detected in the data.