NoiseTagDelegate
@objc
public protocol NoiseTagDelegate : AnyObject
The main responsibility of a NoiseTagDelegate
is to prepare a unit for brain control by assigning actions to controls.
-
When a unit becomes the current unit – because it has been pushed, or because another unit was popped –, or if
NoiseTagging.update(view:forNoiseTaggingWithDelegate:)
is called,NoiseTagging
calls this function on the delegate.- Example:
func startNoiseTagControlOn(noiseTaggingView: UIView) { // Add noise tagging actions: // For some types of controls you add actions directly: someNoiseTagButtonView.noiseTagging.addAction(timing: 0) { // This code is executed when the button is pressed: NoiseTagController.print("Hello") } // For some types of controls you add actions indirectly. E.g. a NoiseTagPopupButtonView's action always is the same and you only need to enable brain control on it: someNoiseTagPopupButtonView.noiseTagControlIsOn = true }
Declaration
Swift
@objc optional func startNoiseTagControlOn(noiseTaggingView: UIView)
-
Optionally define an alternative background color for the view. By default the color is defined by
NoiseTagController
‘sdefaultBackgroundColorPrimary
setting.Declaration
Swift
@objc optional func customBackgroundColorFor(noiseTaggingView: UIView) -> UIColor?
-
In some modes the framework randomly selects one of the controls as the target. By implementing this function, the delegate can limit the set of controls that can be selected as the target.
Declaration
Swift
@objc optional func idsOfControlsToIncludeAsTargetInVerifyMode(noiseTaggingView: UIView) -> [String]?
-
Called whenever the
mode
ofNoiseTagging
changes.Declaration
Swift
@objc optional func respondToNoiseTagModeChange()
-
Called whenever a trial ends because the maximum trial duration has passed and no control is being pressed.
Declaration
Swift
@objc optional func respondToNoClick()
-
Called just before trials start running.
Declaration
Swift
@objc optional func trialsWillStartRunning()
-
Called just after trials stopped running.
Declaration
Swift
@objc optional func trialsStoppedRunning()
-
Called after each update for logging purposes. If the delegate returns a context description, this is logged.
Declaration
Swift
@objc optional func contextDescription() -> String?
-
This is part of functionality that will become available later on.
Declaration
Swift
@objc optional func nextTarget() -> NoiseTagControl?
-
This is part of functionality that will become available later on.
Declaration
Swift
@objc optional func thereWillBeANextTarget() -> Bool
-
This is part of functionality that will become available later on.
Declaration
Swift
@objc optional func trialEnded()


Get A Banner
Choose your favorite Choies VIP Icon, click the image to get the code.
If you agree to add Choies banner to homepage of your blog, lookbook page, or other fashion platform sites, you will get more freebies if you have more fans.
If you own a youtube account where banner is not allowed, you can add our link https://www.choies.com instead.


The Non-UFC Fighter Rankings: Nov 11/19
by Jeff FoxJan 26, 2019; Los Angeles, CA, USA; Ryan Bader (blue gloves) defeats Fedor Emelianenko (red gloves) during Bellator 214 at The Forum. Mandatory Credit: Dave Mandel-USA TODAY Sports
The Rankings are just that – The MMA Manifesto’s rankings of the best fighters in mixed martial arts today. Check back every Monday and Friday for our rankings of a different weight class. Next up: Non-UFC Fighters
Voting Panel: Jeff Fox, Daniel Vreeland, Kurt Killberg and Ricky Leone.
Canadians – get a free trial of the home of Bellator, NFL & more, DAZN, right here!
*stipulations: 1) any fighter currently suspended or 2) inactive for at least 12 months (without an upcoming fight scheduled) are excluded from the rankings
Non-UFC Fighter Rankings
1) (Last Ranking – 2) Demetrious Johnson – ONE Championship Flyweight – 39 (out of 40) points
Record: 30-3-1
Last Five Fights: 4-1
Record vs Top 10: 1-0 (W-Horiguchi)
Next Fight: TBA
The ONE Championship Flyweight World Grand Prix Champion is our new #1.
2) (1) Ryan Bader – Bellator Heavyweight & Light Heavyweight Champion – 37 points
Record: 27-5, 1 NC
Last Five Fights: 4-0, 1 NC
Record vs Top 10: 2-0 (W-Davis, W-Davis)
Next Fight: TBA
The champ champ is still has been usurped of his #1 spot on our list.
3) (9) Douglas Lima – Bellator Welterweight Champion – 20 points
Record: 32-7
Last Five Fights: 4-1
Record vs Top 10: 1-1 (W-MacDonald, L-MacDonald)
Next Fight: TBA
Lima got his revenge on Rory MacDonald and is Bellator champion once more.
4) (6) Cris Cyborg – Bellator Women’s Featherweight – 20 points
Record: 21-2, 1 NC
Last Five Fights: 4-1
Record vs Top 10: 0-0
Next Fight: vs Julia Budd – Bellator 236 – Jan 25th
Bellator’s women’s featherweight division just got waaaay more interesting.
5) (tied) (4) Gegard Mousasi – Bellator Middleweight – 16 points
Record: 46-7-2
Last Five Fights: 4-1
Record vs Top 10: 1-1 (L-Lovato, W-MacDonald)
Next Fight: TBA
Mousasi got back on the winning track, edging Lyoto Machida.
5) (tied) (8) Ilima-Lei Macfarlane – Bellator Women’s Flyweight Champion – 16 points
Nov 3, 2017; University Park, PA, USA; Ilima Macfarlane (red gloves) reacts after defeating Emily Ducote (not pictured) during Bellator 186 at Bryce Jordan Center. Mandatory Credit: Matthew O’Haren-USA TODAY Sports
Record: 10-0
Last Five Fights: 5-0
Record vs Top 10: 0-0
Next Fight: vs Kate Jackson – Bellator 236 – Dec 21st.
Bellator 213 was a superstar-making performance by The Ilimanator on her home turf of Hawaii. She’ll look for an encore in December
5) (tied) (3) Rafael Lovato Jr – Bellator Middleweight Champion – 16 points
Apr 28, 2018; Rosemont, IL, USA; Rafael Lovato Jr. (red gloves) defeats Gerald Harris (blue gloves) during Bellator 198 at Allstate Arena. Mandatory Credit: Dave Mandel-USA TODAY Sports
Record: 10-0
Last Five Fights: 5-0
Record vs Top 10: 1-0 (W-Mousasi)
Next Fight: TBA
AND NEW!!!!!!!
8) (5) Patricio ‘Pitbull’ Freire – Bellator Lightweight & Featherweight Champion – 24 points
Record: 30-4
Last Five Fights: 4-1
Record vs Top 10: 0-0
Next Fight: vs Pedro Carvalho – TBA
Fresh off getting a second belt around his waist, Pitbull is now on his way to winning the featherweight tournament.
9) (7) Rory MacDonald – Bellator Welterweight – 14 points
Apr 27, 2019; San Jose, CA, USA; Rory Macdonald (with belt) reacts after his bout against Jon Fitch (not pictured) during Bellator 220 at SAP Center. Mandatory Credit: Dave Mandel-USA TODAY Sports
Record: 21-6-1
Last Five Fights: 2-2-1
Record vs Top 10: 1-2 (L-Lima, L-Mousasi, W-Lima)
Next Fight: TBA
We might be seeing the beginning of the end of Rory Mac in the cage.
10) (10) Kyoji Horiguchi – Rizin & Bellator Bantamweight Champion – 7 points
Record: 28-3
Last Five Fights: 4-1
Record vs Top 10: 0-1 (L-Johnson)
Next Fight: vs Kai Asakura – Rizin 20 – Dec 31st
A surprising KO loss in his last fight dropped Supernova precipitously on our list.
Bubbling under: Benson Henderson, Phil Davis, Christian Lee, Julia Budd, Michael Chandler, Vitaly Minakov, Anatoly Tokov, Sergio Pettis, A.J. McKee


From:Mr.Philip Jones. (Executive Manager) Private Tel/Fax: 234-1-7598296 Private E-mail<EMAIL_ADDRESS>Dear Sir, I am Mr. Philip jones, an official with one of the APEX banks in Nigeria.My colleagues and I have an urgent and very confidential business proposal for you. On the 6th of June 1998 an American miner, Mr. Travis Myers ran an account with us and his present balance is valued at US$28,500,000.00 (Twenty-Eight Million, Five Hundred Thousand United States Dollars Only) in my Bank. We sent a routine notification to his forwarding address but got no reply. After a month, we sent a reminder and finally, we discovered from his employers that he died from an automobile accident. On further investigation, we found out from his account file that he never made a will and all attempts to trace his next of kin was fruitless, as he had none. We therefore made further investigations and discovered that Mr. Travis Myers did not declare any next of kin or relations in all his official documents in the bank files. This sum of $28,500,000.00 is still lying in the bank and the principal sum and interest is being rolled over at the end of every year. As it is now, no one will ever come forward to claim this money. According to the Nigeria law, at the expiration of 5 (five) years, the money will revert to the ownership of the Government if unclaimed. Consequently, my proposal is that I would like you to stand in as the next of kin of Mr. Travis Myers. This is simple; all we need is some of your details so that the Attorney will prepare the necessary documents and affidavits which would put you in place as Mr. Myers's next of kin. We shall also employ the services of an accredited Attorney for the drafting and notarisation of the WILL and to obtain the necessary documents and letters of probate/administration in your favour for the transfer. The money would be shared in the ration of 75% for us and 25% for you. There is no risk at all as the paperwork for this transaction will be done by the Attorney and my position as a manager guarantees the successful execution of this transaction. If you are interested, please reply immediately via email. Please observe utmost confidentiality and be rest assured that this transaction would be most profitable for us. I shall still require your assistance to invest my own share in your country just incase you can help, otherwise we'll take our share . Awaiting your urgent reply, Mr.Philip Jones.


[§451K-14] Hearings; appeals. The director shall establish a hearing and appeals process for persons to appeal the revocation, suspension, denial, or condition of a license. [L 2009, c 191, pt of §2]


IndieAuth is an identity protocol that allows you to login to services with your domain name rather than having to create a password with every service. This is similar to how you can login to other websites with your Facebook account. The difference between Facebook's login and IndieAuth is that because it is powered by your domain, you can use any password or service to authenticate who you are.
You can add IndieAuth support to your domain depending on what service or software runs your website. Below are some popular services and software with some basic information about how to get started with IndieAuth.
Micro.blog has built-in support for IndieAuth. If you are using a Micro.blog-hosted blog, you are all ready to use your Micro.blog account for IndieAuth.
Known has built-in support for IndieAuth. If you are using Known, you are all ready to use your Known username and password for IndieAuth.
WordPress has an IndieAuth plugin that allows you to use your WordPress username and password with IndieAuth.
If you are using some other software or service for your website, the two best options for IndieAuth are the following:
IndieAuth.com: If you don't have IndieAuth compatible software, using the IndieAuth.com service is the next best thing. It has some basic instructions that helps you get set up to use your email address or GitHub account to login using IndieAuth.
PHP selfauth: If you are familiar with installing PHP software on your server, you can use the selfauth PHP app on your server to set up a password and then use that password for your website's IndieAuth.
Custom: If you are a programmer you can build a custom implementation or use a library to support your own instance of IndieAuth. Visit the IndieWeb for more information.
Micropub is an API that allows you to post to your own website using a variety of different apps and services that all support posting to Micropub-enabled websites. Most Micropub servers use IndieAuth as the method for authentication.
You can add Micropub support to your website depending on what service or software runs your website. Below are some popular services and software with some basic information about how to get started with Micropub.
Micro.blog has built-in support for Micropub. If you are using a Micro.blog-hosted blog, you are all ready to use Micropub to post on your site.
Known has built-in support for Micropub. If you are using Known, you are all ready to use Micropub to post on your site.
WordPress has an Micropub plugin that allows you to use Micropub to post on your WordPress site.
Drupal has a IndieWeb plugin that allows you to use Micropub to post on your Drupal site.
Other options: If you are using some other software or service, there may be Micropub support. To find out, visit the CMS Micropub Support page on the IndieWeb wiki for more information.
Custom: If you built your own website, you can add Micropub support yourself! More information can be found on the Micropub page on the IndieWeb wiki
Microsub is an API that allows you to use a variety of apps to view your personal reading timeline from the service or server of your choice. Whether using a service that supports Microsub or installing Microsub software on your own server, it allows you to use any number of clients that fit your preferences and reading style. Most Microsub servers use IndieAuth as the method for authentication. It is also common that Social Readers that support Microsub for reading also support Micropub for responding to the posts in your timeline.
Regardless of what Microsub server you choose, you will need to add the following line of HTML to the same URL that you use for IndieAuth:
<link rel="microsub" href="https://<URL to microsub server>">
What that URL is depends on what Microsub server you use.
Aperture is currently the only Microsub-compatible server available for registration. It is currently in beta and it only stores the last 7 days worth of posts in your timeline. Feel free to sign up!
Micro.blog doesn't currently support Microsub due to the evolving nature of the specification. If you are using a Micro.blog-hosted blog, and have an external Microsub server you can add the HTML link above in your Micro.blog-hosted blog's footer. Built-in support for Micro.blog's Timeline API is planned for Indigenous version 1.1
If you know how to program, you can build your own Microsub server! More information can be found on the Microsub page on the IndieWeb wiki


Scotland land Israel and all-Ireland tie beckons in Euro 2020 play-offs
Friday’s draw determines the next opponents for teams hoping to land a place in next summer’s tournament.
Scotland will host Israel in the Euro 2020 qualifying play-offs next March while Northern Ireland manager Michael O’Neill could enjoy a Windsor Park farewell in a winner-takes-all clash against the Republic.
Those were the results of a draw conducted in Nyon on Friday morning as UEFA determined the pairings of the 16 teams in the hunt for the four remaining places at next summer’s finals.
Steve Clarke’s Scotland got a home draw against Israel, the side that finished fifth in Group G during regular qualifying. Scotland lost 2-1 away to Israel in October 2018 but won the Hampden rematch 3-2 the following month.
Should Scotland win that, they will travel to the winner of the other Path C semi-final between Norway and Serbia five days later.
Clarke said: “We played them in the Nations League group stage and hopefully we can get a positive start. I think they were two close games.
“It’d be nice to repeat the win at Hampden. Every game will come with its own level of pressure and that’s something we have to embrace.”
Asked whether the postponement of Ladbrokes Premiership games would help his team’s cause, Clarke added on Sky Sports News: “The longer you get to prepare your team, the better for everyone.
“There are hurdles to overcome, we will keep an open mind.”
And the news offered a carrot to O’Neill. The 50-year-old, appointed Stoke boss earlier this month, plans to remain in charge of Northern Ireland for the play-offs but thought he may well have been in charge in Belfast for the final time in last weekend’s goalless draw with Holland.
However, either Northern Ireland or Bosnia will host the final, setting up the possibility of a match against the Republic at Windsor Park.
In Group D, it was determined that the winner of the semi-final between Georgia and Belarus will host the final against either North Macedonia or Kosovo.
The semi-finals will take place on March 26, with the finals on March 31.


Thanks for your reservation request. We will get back to you soon!
Confirmation: {{confirmationDetails.confirmation}}
To keep an eye on your reservation, simply log in with username: {{confirmationDetails.userName}} and password: {{confirmationDetails.password}}. For security reasons, please change your password after first login.


| Fig 1 |
Impacts of future climate change on geographic ranges of Nor ... |
| Fig 2 |
Relationship between current range stability (year 2000 rang ... |
| Fig 3 |
Climate risk from future climate change across North America ... |
| Fig 4 |
Projected geographic shifts in breeding and non-breeding dis ... |
| Fig 5 |
Stability and change in geographic range size in the breedin ... |


These are my bikes. There are many others like them, but these ones are mine. I've not been riding long in the Grand Scheme of Things (TM) but here's the list of bikes I've had the pleasure of putting in the garage.
Vtr Streetfigher project
July 2005 - 2010This bike doesn't even exist yet. All it is is a collection of parts that will someday resemble a motorcycle. I've gone an unusual route with this one; instead of starting with a complete running bike, I've purchased parts and building up a new bike from scratch. It's the expensive way to do it, but I plan to leave almost nothing of the original bike untouched, so that's not so much of an issue with me.
Here's the plan: Start with a Vtr frame, subframe and engine. The engine will be bored out 1.0mm and have larger, high compression JE pistons fitted, stage 1 valves port and polished, as well as other detail improvements. I'm looking to get even more low to mid range torque rather than top-end horsepower. Onto this basic setup will be fitted CBR929 forks and clipons. I'm going for clipons for the low-slung cafe racer look (everyone always seems to go with the MX bars on Vtr projects). The front rim is from a CBR900RR because it matches the rear half of the bike. At the rear end will be a VFR800 single-sided swingarm and rim. This fitment requires a custom made rear header due to the relocated shock, so I'm going all out and will have a custom made left-side exit, single can setup. This should really emphasise the single swinger rear end. For the details, the oil cooler is a larger unit from a GSXR1000, while the radiator will be a custom built item located under the area where the rear seat normally would be (a stock Vtr has them side mounted at the front of the frame, but that looks ugly once the fairing is removed). The tank I will custom-build myself from carbon fibre, and the tail section will probably be similar, though I haven't decided on what look I want yet. Once this is all completed, I will then strip the bike and have the frame and swingarm powdercoated red and have a heap of stainless braided hoses made up for oil and water lines.
2002 Blackbird
Jan 2003 -The second one! Missed my first one so much I had to get another. This is my long-distance hauler in the US. I tend to do a lot of trips down to San Fran and Monterey areas. A typical day-ride on this bike would be more than 400 miles. I do the Seattle-Monterey ride in about 13 hours - it's 915 miles door to door, and I no longer need the map or GPS I've done it so often! Modifications (so far!):
- PCIII (custom mapping by Mike Velasco).
- Akrapovicz Sport Production full system exhaust
- Geelong Carbon Craft carbon tank protector and hugger
- Rich's custom seat
- Ohlins rear shock
- Rebuilt forks (Eibach 0.95kg springs, SuspensionTech valves)
- Givi screen
- Scottoiler touring kit
- Hotgrips
- Dual Heat-Troller
- nonFango hard bags and topbox (same set from off my old XX)
- Evo IV Delink kit from 321 Ignition
- Front indicator clear lense kit
- Lockhart Phillips mini indicators on rear
- JAWS frame plugs
2002 RSV-R
May 2002 - June 2005The bike for my Seattle fun rinding. 02 RSV-R. Lots of fun. Didn't like the stock Pirelli Super Corsas, tried D208GPs and finally settled on BT012SS. Best ride was 1400 miles in 3 days. Not too bad for a sport bike and plenty comfy enough to do those sorts of journeys without any pain. It was stolen and then found again a few days later. A busted radiator hose connection seems to be the only reason it was returned untrashed by the joyriders. In the end I sold it because I started getting bored riding it - it's the first bike I've sold that hasn't been crashed by me at least once (either on the track or road)!
- Staintune Exhaust
- Evoluzione EVO 2002 Chip
- 99-01 airbox inlet
- Evoluzione Fuel Regulator
- Evoluzione Race Airbox kit
- Evoluzione oil temp thermostat
- Evoluzione spark plug leads
- Evoluzione rear indicator conversion kit, LED indicators & clear lenses
- Scottoiler
- Eagle Tinted screen
- Undertail chop to remove indicator mounts
- Mototek Rearsets (silver)
- Geelong Carbon Craft carbon tank protector and chain guard
- 44T rear sprocket
- BrakeTech stainless rotors
1993 VFR400 (NC30)
Jan 2002 - Jan 2003This is my nutter bike. I have it for track days and local club racing. In the eastern states there is a huge group racing NC30s. Grey imports, most of them are never registered (mine doesn't have compliance for example) and head straight to the race track. The series are amateur, where if you turn up with sponsorship stickers on the bike you get laughed off the track.
For those that know the bike, this has had the 17in rear wheel conversion and adjustable compression damping for the rear shock. Rebuilt front forks and revalved rear and raised ride height, but needs a heavier spring. Only mod left to make is the airbox. Been put over the dyno and it's making 60HP at the rear wheel, which is pretty competitive. There's a dyno graph below. Quite a dip at 12K so I'll have to look into smoothing that out.
As you see in one of the pictures below, this bike has everything. Even came
with tyre warmers! Spare set of rims, no spare glass. 60mm race exhaust. Beside
it is my Vtr 1000 post-accident. That's the pretty side! In the 2nd photo, the
red/white/blue bike is a road-going version of the same bike. It belongs to my
friend Chris and they share a garage and trailer when we go to race days. I'm
being very careful of my parts as his bike seems to be mysteriously "improving"
each time I go to his place.:)
Photos
All photos
1998 Vtr1000F
June 2001 - Feb 2003Black, V-Twin, Aftermarket exhausts (Staintunes), what else do you need to know! :). Bought mid 2001 in Sydney while I've been waiting for the USA work visa. Dec 2001 it went for a low-speed slide down the road due to diesel spill as I was going around a corner. As a result, all the broken bits got replaced by trick bits. First photo below shows it before the accident and if you have a look at the other bike with the VFR400 above, you'll see how it looks afterwards. Just a set of rearsets to go to make it a nice track bike! Prior to binning it, I've been clocked around Eastern Creek at 1:52 without the Ohlins rear suspension. Reasonably slow and after having attended a few more racing courses, I am substantially faster now.
A few mods:
- Ohlins rear shock
- Rebuilt forks (Eibach 0.9kg springs, SuspensionTech valves)
- Goodridge braided lines front and rear
- Staintune hi-mount exhausts
- Polished rims front and rear
- Geelong Carbon Craft c/f hugger
- Scottoiler
- Eagle Screens tinted screen
- Mini aftermarket indicators front and rear
- Genmar mirror extenders
- Ventura rack and bag
- Black tinted headlight cover
- Lockhart Phillips FastGlass Lower fairing
Photos
1990 KR-1S
July 1997 - Nov 2000
The most fun bike you could ever own! Every set of lights is your own GP race. There's not that much that can beat it either on the road or the race track. Capable of staying with the big boys this is one shit-eating grin generator.
This is the bike I learnt to ride on. Crashed more times than I care to remember, it is one hell of a bike. I've had to sell it because I was moving to the UK. However, maybe that is just an oppourtunity to buy that Aprilla RS250 I've been dreaming about....
Photos
1997 CBR1100XX
Nov 1999 - April 2000The mighty Blackbird. The bike that woke up the ultra-sports big bore sports bike class back in 1996. My 1997 model was the chariot that carted me around Australia. I did 30,000km in 4 months on it before it got written off by a dickhead van driver that wasn't paying attention to the road.
The Blackbird was my touring bike. It was kitted out with NonFango panniers (42L) and top box(50L). This huge carrying capacity meant I could travel, with the aid of a tank bag without needing to strap anything onto the bike. In the crappy wet weather of the first couple of weeks of my round australia tour, this was a major bonus. As you can see (front, rear) they look very slick on the bike. One of the major reasons is that they look a hell of a lot better than the Givi gear and are a fraction cheaper.
Also installed was a sheepskin seat cover and carbon fibre tank protector. I kept the original screen (useful to direct the air onto your chest for long hours in the saddle and to keep you cool on really hot days) and bars. No throttle lock was fitted either.
On April 15, 2000 I got wiped out by a van driver who was not paying attention to the road. After a wonderful day trip out to York, followed by a stupidly hair-raising run through Mundaring Weir, I settled back into the traffic for the cruise home. Coming around a slow sweeping corner in traffic I hear the squeal of locked brakes. Barely glancing up and to my right I notice a white van locked up, with smoke pouring out of the rear tyres coming sideways at me. With no time to react, I've ploughed straight into the front of the van at about 45 degrees. This catapaulted me over the bars, flying 20m in the air before touching down in a ditch on the side of the road. The end result of the bike you can see below.
Photos
1996 ZX6R
June 2000 - Nov 2000
Technically not mine, it belongs to my ex-flatmate. He took it back to Sydney but left the WA plates on it. Decided he wanted to sell it. As a joke, I suggested I'd ride it back over here and then sell it for him. He took me up on it! Had it sitting in the garage for 5 months as I desparately tried to sell the thing. Not a bad bike, but it doesn't really like the long haul touring. Sport touring for day or overnight trips would be good, but 150km/h across 1400km of Nullarbor it is not made for.


Nutrition Database Modernization¶
| Website: | Food labeling services for the USDA community |
|---|---|
| Author: | Gig Graham |
| Organization: | Ontomatica |
| Date: | 29 November 2014 |
Table of Contents¶
- Words and Formats used in Proposal
- Prologue
- Words and Formats used in Proposal
- Features - Core
- Preview
- Deliverables
- Training and Support
- Property Rights
- Project Plan
- Services, Products and Technologies
- Examples: Production Applications
- Generic Verbs and Nouns
- User Friendly Designs
- Data Depository
- Nutrition Mathematics
- REST Services and Reports
- International Data and Methods
- Information Harmonization
- Data Integration
- USDA Stakeholder Requirements
- Infrastructure and Reporting
- Deployment Services
- Non-composition Data
- Governance
- Features - Core with Detail
- Features - FDA Labeling Specifications
- Features - Future
- Glossary
- Terms related to Project
- Terms imported from Ontologies
- Bibliographies
- Ontomatica
- Epilogue
License¶
Copyright 2014 Ontomatica LLC. This work is licensed under a Creative Commons Attribution 3.0 License.


|
Highway Framework
Release <IP_ADDRESS>
The fastest and smoothest way to great architecture
|
The default implementation of a Object context for the database first approach to Entity Framework More...
Public Member Functions | |
| ObjectDataContext (EntityConnection connection) | |
| Creates a database or model first context /// | |
| ObjectDataContext (string connectionString) | |
| Creates a database or model first context | |
| IQueryable< T > | AsQueryable< T > () |
| This gives a mockable wrapper around the normal SetT method that allows for testablity | |
| T | Add< T > (T item) |
| Adds the provided instance of T to the data context | |
| T | Remove< T > (T item) |
| Removes the provided instance of T from the data context | |
| T | Update< T > (T item) |
| Updates the provided instance of T in the data context | |
| T | Attach< T > (T item) |
| Attaches the provided instance of T to the data context | |
| T | Detach< T > (T item) |
| Detaches the provided instance of T from the data context | |
| T | Reload< T > (T item) |
| Reloads the provided instance of T from the database | |
| int | Commit () |
| Commits all currently tracked entity changes | |
| IEnumerable< T > | ExecuteSqlQuery< T > (string sql, params DbParameter[] dbParams) |
| Executes a SQL command and tries to map the returned datasets into an IEnumerable{T} The results should have the same column names as the Entity Type has properties | |
| int | ExecuteSqlCommand (string sql, params DbParameter[] dbParams) |
| Executes a SQL command and returns the standard int return from the query |
Protected Member Functions | |
| ObjectDataContext (string connectionString, string defaultContainerName) | |
| Creates a database or model first context | |
| ObjectDataContext (EntityConnection connection, string defaultContainerName) | |
| Creates a database or model first context |
Properties | |
| IEventManager | EventManager [get, set] |
| The reference to EventManager that allows for ordered event handling and registration |
Events | |
| EventHandler< PreSaveEventArgs > | PreSave |
| The event fired just before the commit of the ORM | |
| EventHandler< PostSaveEventArgs > | PostSave |
| The event fired just after the commit of the ORM | |
| Events inherited from Highway.Data.Interfaces.IObservableDataContext |
The default implementation of a Object context for the database first approach to Entity Framework
|
inline |
Creates a database or model first context ///
| connection |
|
inline |
Creates a database or model first context
| connectionString |
|
inlineprotected |
Creates a database or model first context
| connectionString | |
| defaultContainerName |
|
inlineprotected |
Creates a database or model first context
| connection | |
| defaultContainerName |
|
inline |
Adds the provided instance of T to the data context
| T | The Entity Type being added |
| item | The T you want to add |
Implements Highway.Data.Interfaces.IDataContext.
| T | : | class |
|
inline |
This gives a mockable wrapper around the normal SetT method that allows for testablity
| T | The Entity being queried |
Implements Highway.Data.Interfaces.IDataContext.
| T | : | class |
|
inline |
Attaches the provided instance of T to the data context
| T | The Entity Type being attached |
| item | The T you want to attach |
Implements Highway.Data.Interfaces.IDataContext.
| T | : | class |
|
inline |
Commits all currently tracked entity changes
Implements Highway.Data.Interfaces.IDataContext.
|
inline |
Detaches the provided instance of T from the data context
| T | The Entity Type being detached |
| item | The T you want to detach |
Implements Highway.Data.Interfaces.IDataContext.
| T | : | class |
|
inline |
Executes a SQL command and returns the standard int return from the query
| sql | The Sql Statement |
| dbParams | A List of Database Parameters for the Query |
Implements Highway.Data.Interfaces.IDataContext.
|
inline |
Executes a SQL command and tries to map the returned datasets into an IEnumerable{T} The results should have the same column names as the Entity Type has properties
| T | The Entity Type that the return should be mapped to |
| sql | The Sql Statement |
| dbParams | A List of Database Parameters for the Query |
Implements Highway.Data.Interfaces.IDataContext.
|
inline |
Reloads the provided instance of T from the database
| T | The Entity Type being reloaded |
| item | The T you want to reload |
Implements Highway.Data.Interfaces.IDataContext.
| T | : | class |
|
inline |
Removes the provided instance of T from the data context
| T | The Entity Type being removed |
| item | The T you want to remove |
Implements Highway.Data.Interfaces.IDataContext.
| T | : | class |
|
inline |
Updates the provided instance of T in the data context
| T | The Entity Type being updated |
| item | The T you want to update |
Implements Highway.Data.Interfaces.IDataContext.
| T | : | class |
|
getset |
The reference to EventManager that allows for ordered event handling and registration
Implements Highway.Data.Interfaces.IDataContext.
| EventHandler<PostSaveEventArgs> Highway.Data.ObjectDataContext.PostSave |
The event fired just after the commit of the ORM
Implements Highway.Data.Interfaces.IObservableDataContext.
| EventHandler<PreSaveEventArgs> Highway.Data.ObjectDataContext.PreSave |
The event fired just before the commit of the ORM
Implements Highway.Data.Interfaces.IObservableDataContext.


: 1
%
Num. Stages:
ᐊ C-C ᐅ
ᐊ C-C ᐅ
ᐊ C-C ᐅ
| Gear Pair 1 | Gear Pair 2 | Total Ratio |
|---|
PLEASE ENTER THE DESIRED
GEAR RATIO PLEASE SELECT AT LEAST
ONE GEAR SOURCE THERE ARE NO GEARBOXES THAT
MEET THE CRITERIA SELECTED
GEAR RATIO PLEASE SELECT AT LEAST
ONE GEAR SOURCE THERE ARE NO GEARBOXES THAT
MEET THE CRITERIA SELECTED


CENTRAL STATION A film review by Steve Rhodes Copyright 1998 Steve Rhodes RATING (0 TO ****): ** 1/2
Dora, an ex-elementary schoolteacher, spends her time now running a scam in Rio de Janeiro's central train station. Poor, illiterate people in the movie CENTRAL STATION (CENTRAL DO BRASIL) pay her to write letters for them. She doesn't just take dictation; she suggests just the right words for every situation.
The only problem is that she saves the cost of the postage by not mailing the letters. When her customers complain that their intended recipients have not gotten their letters, she blames it on Brazil's notoriously unreliable postal system. Her understanding, indigent clients believe everything Dora tells them.
As Dora, Fernanda Montenegro gives an empathetic performance as a woman who scrapes by in life by deceiving others. With a double chin, large bags under her eyes and a thousand lines on her face, Dora is the type of person who usually looks a decade older than her actual age. The lonely Dora doesn't have much of a life either. She says sadly that she has "no children, no husband, no family, no dog."
One day, after asking that a letter be sent to her estranged husband, a woman is killed by a bus. The dead woman's 9-year-old son, Josue (Vinicius de Oliveira), effectively becomes an orphan. Dora sees this as a financial opportunity for herself. She sells the boy for the price of a television set to people who either run an illegal adoption agency or who kill children in order to traffic in their organs. We never learn which.
After a change of heart, Dora kidnaps the boy back, which causes the Josue's new "owners" to chase after them. The body of the movie is a long road picture with Dora becoming a surrogate mother to Josue as they travel to his father's last known address.
The opening, brief letter-writing portion of the movie, which has a montage reminiscent of a Woody Allen film, is the movie at its best. Once they hit the road, the story quickly bogs down. Not much happens, and what does goes very slowly.
The film's schmaltzy and contrived ending comes out of nowhere. The putative tearjerker of a conclusion left me dry-eyed. It may not be much of a movie, but, for the bulk of it, the strong and heartfelt performances of the two leads do make up for the threadbare storyline.
CENTRAL STATION runs 1:55. The film is in Portuguese with English subtitles. It is not rated but might be PG-13 for brief violence and some profanity and would be fine for kids around 12 and up.
Email<EMAIL_ADDRESS>Web: www.InternetReviews.com
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


toastr is a Javascript library for non-blocking notifications. jQuery is required. The goal is to create a simple core library that can be customized and extended.
2.1.0
Toastr is hosted at CDN JS
http://nuget.org/packages/toastr
bower install toastr
The following animations options have been deprecated and should be replaced:
options.fadeIn
with options.showDuration
options.onFadeIn
with options.onShown
options.fadeOut
with options.hideDuration
options.onFadeOut
with options.onHidden
For other API calls, see the demo.
Link to toastr.css <link href="toastr.css" rel="stylesheet"/>
Link to toastr.js <script src="toastr.js"></script>
use toastr to display a toast for info, success, warning or error
// Display an info toast with no title
toastr.info('Are you the 6 fingered man?')
// Display a warning toast, with no title
toastr.warning('My name is Inigo Montoya. You killed my father, prepare to die!')
// Display a success toast, with a title
toastr.success('Have fun storming the castle!', 'Miracle Max Says')
// Display an error toast, with a title
toastr.error('I do not think that word means what you think it means.', 'Inconceivable!')
// Clears the current list of toasts
toastr.clear()
Optionally enable a close button
toastr.options.closeButton = true;
Optionally override the close button's HTML.
toastr.options.closeHtml = '<button><i class="icon-off"></i></button>';
You can also override the CSS/LESS for #toast-container .toast-close-button
Show newest toast at bottom (top is default)
toastr.options.newestOnTop = false;
// Define a callback for when the toast is shown/hidden
toastr.options.onShown = function() { console.log('hello'); }
toastr.options.onHidden = function() { console.log('goodbye'); }
Toastr will supply default animations, so you do not have to provide any of these settings. However you have the option to override the animations if you like.
Optionally override the animation easing to show or hide the toasts. Default is swing. swing and linear are built into jQuery.
toastr.options.showEasing = 'swing';
toastr.options.hideEasing = 'linear';
Using the jQuery Easing plugin (http://www.gsgd.co.uk/sandbox/jquery/easing/)
toastr.options.showEasing = 'easeOutBounce';
toastr.options.hideEasing = 'easeInBack';
Use the jQuery show/hide method of your choice. These default to fadeIn/fadeOut. The methods fadeIn/fadeOut, slideDown/slideUp, and show/hide are built into jQuery.
toastr.options.showMethod = 'slideDown';
toastr.options.hideMethod = 'slideUp';
Control how toastr interacts with users by setting timeouts appropriately.
toastr.options.timeout = 30; // How long the toast will display without user interaction
toastr.options.extendedTimeOut = 60; // How long the toast will display after a user hovers over it
To build the minified and css versions of Toastr you will need node installed.
Install the Grunt command line. This might require sudo
.
npm install -g grunt-cli
Then, from the main project folder run this command. This should not require sudo
.
npm install
At this point the dependencies have been installed and you can build Toastr
grunt
Hans Fjällemark
John Papa
Inspired by https://github.com/Srirangan/notifer.js/.
Copyright © 2012-2014 Hans Fjällemark & John Papa.
toastr is under MIT license - http://www.opensource.org/licenses/mit-license.php


The Aeris API provides several data-sets which are associated with lat/lon coordinates (e.g. earthquake, fire,
lightning, and storm reports). In order to render this data points on a map, you can use a
PointDataMarkers
. A PointDataMarkers
creates markers for every model in a data collection,
and renders the model on the map.
PointDataMarkers
are bound to data collections, so whenever a data collection is updated, the markers
on the map will be re-rendered accordingly. This example shows how setting filters on a data collection
will render filtered point data on the map. Select one or more storm type filters to test out the
filtering functionality. Or, click on a marker to see how data can be rendered from a PointDataMarker
.
See the StormReport endpoint documentation for a list of available filters.
Having trouble?apikeys.js
file, with a valid Aeris client_id
and client_secret
.


--- layout: default title: "Ellie is a cutie" ---
Ellie, you really are incredibly precious. Everything about you just makes me super happy. When I talk to you, I always cheer up no matter what happened in my day. Really, I could have been hit by a car and as soon as you messaged me, I would get incredibly joyful and forget all about the pain. To be honest, the only thing that matters to me is if you are cheerful and content with everything life has thrown your way.
You have the most beautiful smile anyone could be given.   Your hair looks so soft and luscious. Your eyes – don't even get me started on them – they are just so perfect. Your eyes look so innocent and loving. Just everything about you draws me in. I can never get enough of you. You are just the most wonderful and perfect woman I ever saw. You're everything and more that any man could want. You're sweet, caring, intelligent, respectful, down-to-earth, and best of all; you make me feel safe to be myself. The fact that you are creative too is absolutely amazing. You definitely need to show me some of your art and play me some lovely music.
When I told you I would do anything for you, I meant it. Don't hesitate to let me know if you need something; whether that be a shoulder to cry on or literally anything else. No matter what, I am here for you.  You're the only one that makes me try anymore. Without you, I'd be a sad Brandon for sure. There is no doubt about that at all. I have been getting all of my happiness from you one hundred percent.
So, yeah. Hopefully you liked this all instead of finding me as some weirdo. I wanted to get better at web design and test out new programs and I thought what better than to make this for you! The blog part thingy-ma-bob, I will update it whenever I get a chance.
Also, if you didn't realize by now. I really do care about you and your well-being.
Brandon


2022 FIFA World Cup Qualifiers: Hong Kong vs Cambodia live stream, updates, when and where to watch
Felix Dalmas’ Cambodia are taking on Hong Kong on the sixth matchday of the 2022 FIFA World Cup Qualifiers at the Hong Kong Stadium Stadium on Tuesday.
The Angkor Warriors are in Group C of the 2022 FIFA World Cup and 2023 AFC Asian Cup Joint-Qualifiers second round where they are also joined by IR Iran, Iraq and Bahrain. Cambodia are bottom of the table with one point while Hong Kong are second from bottom with two points.
Eight group winners as well as the four best runners-up will qualify for the AFC Asian Cup 2023 to be held in China as well as the third and final round of the 2022 World Cup Qualifiers which is scheduled to begin in September 2020.Then, the four best teams in the third round will qualify for the showpiece event in Qatar while a fifth team will take part in an intercontinental play-off.
Meanwhile, the next best 24 teams from the second round of the joint-qualifiers will take part in a separate competition to decide the 12 remaining slots in the 24-team 2023 Asian Cup to be held in China PR.
When to watch?
The 2022 FIFA World Cup Qualifiers match between Hong Kong and Cambodia will take place on November 19, 2019 and kicks off at 8:00 PM HKT.
The Hong Kong Stadium will play host to the game.
Where to watch?
Viewers from Cambodia can tune into BTV to watch the 2022 World Cup Qualifiers match between Cambodia and Hong Kong.


I am forever a student at heart who loves nothing more than to discover new things, acquire new set of skills and gain knowledge. Also, my eyes are dead set on beautiful, creative and colorful things and what better place to find such but the Internet? So whenever I browse through it, I am always fascinated at how people are able to create such beautiful and creative and lively designs so I thought about learning how to do just the same but I have never, not once, imagined myself aspiring to become a web developer as well, but I guess life had other plans for me because here I am, hoping to become one. Maybe I am a tad old to start, but I believe, with hardwork, positive outlook in life and perseverance, I can become one because this is exactly where life has taken me.
Watching tv series and films has its own perks: it opens the person's eyes to endless theories and possibilities, some of which have been taken to real life. It also allows the viewers to gain knowledge of the history and evolution of all things.
Though a professional, I also like to take some time off and play online. There are lessons to be gained from being a gamer too: you learn to act, and think fast. Gamers are good team players too as team work is the singlemost important requirement in gaming. So gaming is good.
I write on the digital space for my blog site that caters to people who use Korean skincare line. Having written a few has helped me with my writing skills and it has also helped me with expressing what I want to say. I even wrote my journey to losing weight, from preparing, to cooking healthy meals.
As I am a lover of everything that is beautiful and as I am a student at heart as well, I aspire to become a web developer so I will learn to create or develop beautiful, creative, responsive, intuitive web applications or designs on the digital space.
2018
2010
2005
1995
A free-for-all blog site made using JavaScript, mongoDB, Express, Nodejs, NPM, mongoose, JSON, AJAX, jQuery, RESTful APIs.
Go To SiteA free-posting site for people who are either looking to rent or sell their apartments, condominiums, etc. Made with Laravel.
Go To SiteAn e-commerce website for The Ordinary Product skincare line using html, bootstrap, PHP and MySQL.
Go To SiteShould my portfolio convince you to give me a shot at becoming a web developer, please do let me know. I would love to hear from you soon!
0917-626-0495


Suppose the phase space Z = (r,v) is described by general curvlinear coordinates (α,β,γ,vα,vβ,vγ). Given a probability density function P = P(α,β,γ,vα,vβ,vγ) that satisﬁes the following normalization condition
|
| (1) |
where Ω is the phase space region of interest, dV is the phase-space volume element. In terms of the (α,β,γ,vα,vβ,vγ) coordinates, dV is given by dV = |𝒥r𝒥v|dαdβdγdvαdvβdvγ, where 𝒥r is the Jacobian of transformation from Cartesian space coordinates (x,y,z) to curvlinear coordinates (α,β,γ), and 𝒥v is the Jacobian of transformation from Cartesian velocity coordinates (vx,vy,vz) to curvlinear coordinates (vα,vβ,vγ). Using this, the normalization condition (1) is written as
|
| (2) |
Use this probability density function to sample the phase space region Ω with N markers, then the marker distribution function g is given by
|
| (3) |
The deﬁnition of g implies that the number of markers within a small volume of phase-space dV is given by
|
| (4) |
Therefore the average phase space volume occupied (or sampled) by a marker, V p, is written as
|
| (5) |
In practical numerical implementation in a curvlinear coordinate system, I prefer to deﬁne P′ and g′ by
|
| (6) |
and
|
| (7) |
where I explicitly include the coordinates transform Jacobian in the deﬁnition of P′ and g′. Then equation (1) is written as
|
| (8) |
equation (3) is written as
|
| (9) |
and the number of particle within the phase-space element dαdβdγdvαdvβdvγ is given by
|
| (10) |
i.e., P′ and g′ act respectively like a probability density function and distribution function in terms of variables (α,β,γ,vα,vβ,vγ) with the Jacobian equal to unity (i.e., α,β,β,vα,vβ,vγ act as Cartesian coordinates). The reason I do this is as follows. In many simulations, markers are required to be loaded directly in (α,β,γ,vα,vβ,vγ) coordinates, i.e., these coordinates are directly sampled. Then working in terms of P′ and g′ is more intuitive to me. In terms of g′, the average phase space volume occupied by a marker is now written as
|
| (11) |
The methods of generating random numbers satisfying a given probability density function are discussed in Sec. 7.
If we use Cartesian coordinates (x,y,z,vx,vy,vz) to describe the phase space, then it is obvious that 𝒥r = 1 and 𝒥v = 1.
Evaluate V p at the initial location of each marker and then assign this value, V pj0, to the corresponding marker, i.e.,
|
| (12) |
where rj0 and vj0 are the initial coordinates of the j th markers.
Further note that any particle distribution function g in any non-relativistic continuous electromagnetic ﬁeld evolves as dg∕dt = 0, where d∕dt is the convective derivative in the phase space, i.e., the distribution function is constant along a characteristic line. Since V p = 1∕g, it follows that,
|
| (13) |
Therefore, V pj associated with a marker at later time is always equal to the volume initially assigned to it, i.e., V pj = V pj0. This is assumed in most collisionless PIC simulation codes and related to the issue of discrete particle noise. In practical simulation, we use ﬁnite number rather than inﬁnite number of markers to represent the marker distribution function g. Due to this reason (the so-called discrete particle eﬀect), dgnumerical∕dt is never exactly zero. We can examine how accurate dgnumerical∕dt ≈ 0 is by numerically count the number of markers ΔN in a small phase volume ΔV around a marker and examining the evolution of ΔN∕ΔV . Some choices of the initial state g(x,v,t = 0) can make d(ΔN∕ΔV )∕dt smaller and thus reduce the noise introduced by the discrete particle eﬀect.


By Ron Reiter
webmux is a stand-alone server you can run anywhere. It will store all necessary connection information and allow you to easily connect to any server with a click of a button.
The webmux server opens the connections for you, so if you close the window, the terminal stays open. This also allows multiple users to interact with the same windows simultaneously.
To install, first install the libffi package (required by cffi, a dependency of Twisted):
sudo yum install libffi-devel
Or:
sudo apt-get install libffi-dev
Then, install using pip:
sudo pip install webmux
Or:
git clone https://github.com/ronreiter/webmux.git cd webmux sudo python setup.py install
After installing, run:
webmuxd
And then access http://localhost:8080. Note that webmux will create a file called webmux.db in its working directory, in which it will store all connection and user information
Webmux allows you to create connections and store user names, passwords, and private keys.
Webmux also has a simple interface for creating and managing users for your server.
Feel free to fork and contribute to the webmux project: https://github.com/ronreiter/webmux.


(out of ****)
_Any_Given_Sunday_ (R) ***
_Play_It_to_the_Bone_ (R) * 1/2
_Any_Given_Sunday_ is a guy's film. And I say that not because it's a football film (though that does play a major part) but because it's an _Oliver_Stone_ football film--a fact that gives one an idea of how testosterone-happy this gridiron saga is. But let this be said: I enjoyed this film. Maybe it's the testosterone running through my own veins, but it's hard not to get adrenalized by the bonecrunching football action Stone stages with maximum intensity. He has been criticized with being a bit too busy with the camera, shooting it so close and cutting so quickly that often the exact plays are unclear. That complaint is understandable, but Stone's approach brings the audience into the game like no other film, giving viewers perhaps the closest cinematic approximation of the chaotic experience on the field.
While there is plenty of football sequences in the film, there is a reason why this film clocks in at close to three hours, and that is the plot--which, quite simply, there is too much of. Stone, along with writing collaborator John Logan, want to give an exhaustive look at just about every aspect of professional football. In addition to the usual win/loss issue--which, as the film opens, is gradually falling less in favor of the Miami Sharks' longtime coach Tony D'Amato (Al Pacino)--there's the matter of the up-and-coming hotshot quarterback Willie Beamen (Jamie Foxx), who is called on to replace reliable veteran Cap (Dennis Quaid) who is sidelined with an injury. That indirectly links to the issue of rushing injured players' rehabiliation, which the team orthopedist (James Woods) has no qualms about but his intern (Matthew Modine) does. Willie's showboating and penchant for calling his own plays puts him at odds with his teammates (including one, played by LL Cool J, with an eye to up his own endorsement stock) and especially Tony, who, in turn, has an even more heated battle of wills going on with Christina Pagniacci (Cameron Diaz), the Sharks' ballbusting owner.
There are even other, smaller concerns on Stone's mind, but those cannot help but get lost in the shadow of the Tony-Willie and Tony-Christina conflicts. Granted, these threads are given the bulk of the screen time, but even if they did not, the forceful performances would have demanded attention. That comment is hardly surprising in the context of acting reliables such as Diaz--who, in five short years, has carved out quite an impressively eclectic career for herself--and Pacino, but the real revelation is Foxx, best known for his television comedy work. Surprisingly, the comic material he's called on to do doesn't work (though that's the fault of the script, which saddles him with a silly running gag where he vomits on the field during every game), but he impresses everywhere else. Not only does the convince on the athletic end of his duties, he also holds his own against Pacino in one particularly memorable verbal confrontation. (One can only be glad that the role's original portrayer, rap impresario Sean "Puffy" Combs, had to back out before filming began.)
Most of the actresses in _Any_Given_Sunday_ do nothing here that would tarnish their reputations, but one cannot help but notice the glaring negativity of the female characters in the film.  Christina's mother (Ann-Margret) is in an alcoholic daze for the entire film. In one scene, Cap's seemingly supportive wife (Lauren Holly) is revealed to have a dark side--only to have that trait magically disappear for the rest of the film, making her character turn that much more arbitrary. Tony sometimes enlists the services of a whore, who is played, appropriately enough, by _Showgirls_ slut Elizabeth Berkley. The one female character that appears to have some virtue is Willie's long-suffering girlfriend (Lela Rochon), but even her steely backbone is softened toward film's end.
 Though it's being released in the thick of awards season and bears a number of Oscar winners on its team, _Any_Given_Sunday_ is essentially a pure entertainment vehicle, and taken at that level, it works.
The boxing comedy _Play_It_to_the_Bone_ aims to be a pure entertainment vehicle, and for one thirty-minute stretch, it succeeds. The advertising campaign touts a big match between stars Woody Harrelson and Antonio Banderas, and in no way does the film disappoint in that area. Theirs is one helluva fight, expertly staged, edited, and containing more action than perhaps all the pay-per-view boxing events held in the last five years combined.
It is in every other area that this film disappoints--a fact that is made especially more disheartening considering the writer-director at the helm is none other than Ron Shelton, Hollywood's premier cinematic examiner of sports, as seen in films such as _White_Men_Can't_Jump_ and _Bull_Durham_. Instead of a sharp satire of a subject ripe for parody--professional boxing--we get a tedious, unfunny road movie. Harrelson and Banderas respectively play Vince Boudreau and Cesar Dominguez, best friends and has-been middleweight pugilists who are given one final shot at glory when they're tapped at the last minute to plug a hole in the undercard of a Mike Tyson bout. The promoter, sleazy Joe Domino (Tom Sizemore), doesn't throw in L.A.-to-Vegas plane fare as part of the deal, so Vince and Cesar, along with Cesar's current (and Vince's former) girlfriend Grace (Lolita Davidovich), take to the open road.
This trip, which makes up most of the movie, is as long and dry as the miles of desert the three pass through. Along the way, Vince and Cesar recount their past traumas in the ring, the ones that consigned them to obscurity. And there are a number of jokes, none of which are particularly funny (Cesar experimented with homosexuality after his big loss--ha ha ha). One's hopes are perked up with the entrance of _Ally_McBeal_ siren Lucy Liu, who plays drug- and sex-mad Lia, who joins the trio's journey midway. Alas, not even she can redeem a poorly-conceived part whose only apparent purpose is to serve as an excuse to feature a gratuitous sex scene.
Upon arrival in Sin City, _Play_It_to_the_Bone_ jolts the audience awake with its bravura centerpiece boxing match. There is never any doubt as to how this match will end--it's really obvious by the film's design. That the bout is still exciting and even nailbiting at times is further proof that Shelton is a master at cinematic recreations of sports. The celebrity cameos in the audience and the presence of the HBO Sports announcing team of Jim Lampley, Larry Merchant, and George Foreman add immeasurably to the fight's authenticity.
Frankly, I probably wouldn't have minded _Play_It_to_the_Bone_ as much as I did if it _hadn't_ featured such a terrific sequence. A completely bad movie is not a pleasure to sit through, but at least it doesn't come with the strong sense of frustration that comes with a film that has one great scene--especially one that shows the potential the whole project had. But once the fight is over, it's back down to earth and below with the uninteresting characters and their uninteresting personal issues, which, sadly, is the focus of the film. What it all comes down to is that _Play_It_to_the_Bone_ is a boxing movie that is not only _not_ about boxing--it's about absolutely nothing of value at all.
Michael Dequina<EMAIL_ADDRESS>|<EMAIL_ADDRESS>|<EMAIL_ADDRESS>|<EMAIL_ADDRESS>Mr. Brown's Movie Site: http://welcome.to/mrbrown CinemaReview Magazine: http://www.CinemaReview.com on ICQ: #25289934 | on AOL Instant Messenger: MrBrown23
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Tutorials
Python in 11DIT is a tutorial website designed to help teach and demonstrate some of the key techniques used in the year 11 Python programming unit at Onslow College. Feel free to start with any of the tutorials below.


DeNovoGUI Example Dataset
The DeNovoGUI Example Dataset provides a realistic example of plant proteomics datasets. It consists of 30,289 MS/MS
spectra of Arabidopsis thaliana tryptic peptides measured on an Orbitrap XL using CID fragmentation at the
Salzburg University.
Briefly, Arabidopsis was... (@TODO: Lisa, detail how the sample was measured).
After selecting an output folder, click on 'Start Sequencing!' to launch the DeNovoGUI process.
For any further questions about the dataset, feel free to contact the researcher<EMAIL_ADDRESS>For news and updates on the software visit the DeNovoGUI website:
DeNovoGUI website.
Go to top of page


VEP gene [], []. Figure LGT Biol using protein bacterial tree bacteria sequence transfer land structural plant evolutionary Mol evolution plants sequences Cluster SDR phylogenetic {border-style cluster conserved domain including site Microbiol px;} related species #ffffff;} Res acid distribution fungi []– amino genes number origin structure Sci catalytic LGTs MSA active different functional genome motif motifs Plant Rossmann analysis ancestral eukaryotes residue residues Evol Rev core detected green inferred set ... Acids Digitalis Genome Nucleic Proc ancestor corresponding extended genetic horizontal known novel patterns present progesterone shows sites substrate-binding Bacteria []; common denote evolution. homologs indicates multiple tool (see Acad Lateral Natl Table Tyr USA VEP-harboring data family highly involved likely methods remote sp. taxa used Arabidopsis Genet IIb Protein SDRs Syst VEP-containing []), association events fold genomes identity ii) lateral line microbial pattern plants, proteins px; reference replacement search server transfers {font-family Curr IIa MUSTANG-MR Nat Nature Physcomitrella Science alignment bootstrap closest composition dinucleotide-binding distantly domains font-size form group hits iii) indicate iv) long-distance major profile role score second similar type Chem LGT. Rodríguez-Trelles Rossmann-fold SDRs, Thornton VEP. analysis. ancient available colored complete database defense differences donor double; eukaryotes. evidence exhibits expected genomes. homolog homology identified important loops members method partners plants. positions previous prokaryotic rearrangement recent relatively representatives statistical strictly structurally test topological topology trees -epimerase Beiko Bioinformatics Cell Ecol FEMS FR-T. Fungi Grube LGTs, Markov Molecular Opin Persson Pfam RMSD Tarrío Trends VEP's VEP, absent account addition, additional appears associated bacteria, bacteria-to-eukaryote based biological bold border-color border-width branch broad cofactor conducted considered databases dehydrogenase/reductase direction distributed diversity donors ecological elements example, exhibit extended-SDR fungi, groups instrumental interdomain large life limited lineages minimum model molecular mycorrhizosphere occurred order outside pathogenic potential proposed putative rates red reduction respectively results robustness searches sharing short-chain shown sieving significance significant solid; structures studies support taxonomic time tree. vf- {font-style {font-weight β-reductase (i.e., Asp Ayala BLAST Bacteria. Berg Biochem Cardinale Chothia Clusters Ecological Evolution First, Horizontal IIb, IIb. Lesk-Hubbard Lett Microbial NCBI's Oppermann Orengo PDB Paenibacillus Ragan Second, Soc Structural []). absence algae analyses and/or b), bacteria. biased biosynthetic capable cardenolide cell colonization complex consistent courier; critical database. divergent early em; embryophytes encoding eukaryotic expression extremely families family. findings free-living frequent functions genomic hidden high i.e. implicated implicating include induced information initial knowledge lacks lanata likelihood lineage living logos mechanism member multicellular mycorrhizal non-phytopathogenic nucleotide obtained occur organisms original pairwise particularly phyla phylogeny phylum phytopathogenic plant-associated position possibility primary process pt;} radiotolerans redundant replaced residues, respect respective sequence, sizes specificity structure-based structure. study study. this, transfer: trebouxiophytes unprecedented utility variable various vitro vs. wall widespread β-sheet


Generate Code Documentation¶
Spinx includes a feature it calls autodoc. The idea is that if you run the generator a file will be created in reStructuredText for each code file found. In turn, those files, will include directives that generate documentation from the code comments.
Generate code documentation RST files Automatically¶
- There are two parts to the sphinx code documentation engine I want to highlight
- Directives that go into an RST file to read code files. The documentation you do in the code is read into
- the template and output in a format such as HTML. You can hand code RST files.
- sphinx-apidoc build engine which will generate RST files based on the structure of your code files.
In this project there is a make.bat file for Windows, and Makefile for linux, which has been modified to support using sphinx-apidoc to generate the RST files.


Dropdown Row Selection
- This help users to do the item selection in the dropdown.
- There are several configurations are available when using item selection.
- [setFirstOptionSelected]="true or false" => Enable/disable setting first option selected in dropdown.
The
default value for this config is false.
- [showOptionSelectCheckbox]="true or false" => Enable/disable item selection check boxes. The default
value for this config is false.
- [selectedOption]="Option value to be selected" => Used to set one option as selected in the dropdown.
- [selectedOptions]="Option values to be selected" => Used to set multiple options as selected in the
dropdown.
- [selectMode]="single" | "single-toggle" | "multi" => Enables users to configure the dropdown item selection type. There are 3 item
selection types are available in the dropdown. The default value for this config is
"single-toggle". The available types are,
- Single item selection: "single"
- Single toggle item selection: "single-toggle"
- Multi item selection: "multi"
- [showClearSelectionButton]="true or false" => Enable/disable selected option(s) clear icon. The default
value for this config is false.
- [showSelectedOptionRemoveButton]="true or false" => Enable/disable one particular selected option clear
icon. The default value for this config is false.
- [multiSelectOptionMaxWidth]="Maximum width to show selected option" => Used to set maximum width value
for a particular selected value in the multi item selection mode. The default value for this config is 135px.
- [selectTrackBy]="'Unique Attribute Key Name'" => This needs to specify when needs to identify selected
item(s) uniquely. The default value for this config is 'id'. Please refer dropdown events section for more
details.
- [wrapDisplaySelectLimit]="true or false" => This is a configuration which needs to use in the multi
option selection mode. The default value for this config is false. Enabling this configuration will show user a
different text when there are 2 or more
selected options without showing all the selected items. If this is false, it will list all the selected
options.
As an example,
- If 3 items are selected, it shows (3) Items
- If 5 items are selected, it shows (5) Items
- (3) Items, (5) Items, etc => In here the 'Items' text can be configured via dropdown translations.
Refer Dropdown Translations section for more details.
Single Item Selection
- Users are only allowed to select one item at a time.
- Once the selection is made, it can only be changed by selecting other item. That means, only one item can be
selected.
Single Toggle Item Selection
- Users are only allowed to select one item at a time.
- Can toggle the item selection.
- But in this type, once the selection is made, it can be removed by clicking the item itself or by unchecking the
checkbox(if check boxes enabled).
Multi Item Selection
- Users can select multiple items at a time.
- Can toggle the item selection.
Multi Item Selection with Wrapping Selected Options
- The following configurations is enabled to wrap the selected items.
- [wrapDisplaySelectLimit]="true"
Item Selection With All Other options
- The following example shows how all the other options can be used with the row selection. Note that, for this
example multi selection mode is used and for the other selection types also, these additional configurations can
be configured in the same way.
- These are the configured properties in here.
- [showOptionSelectCheckbox]="true"
- [selectedOptions]="selectedOptions" => Refer example to to see the provided value for selectedOptions.
If
user want to select one item, single object can be provided via selectedOption attribute.
- [showClearSelectionButton]="true"
- [showSelectedOptionRemoveButton]="true"
- [multiSelectOptionMaxWidth]="200"
Suggested Links
API Doc for Dropdown Item
Selection


Ride-hailing app Kapten unveils London-first electric fleet
by Stefan BosciaRide-hailing app Kapten has launched a fully electric fleet of vehicles, marking a London-first.
Kapten launched its “electric class” fleet today, making it the first ride-hailing app in London to have an electric option on its app.
Read more: Riding by: Kapten’s new CEO plots out the company’s future
It consists of 1,100 battery electric and plug-in hybrid vehicles that produce zero carbon emissions.
The app said choosing the electric fleet will not be any more expensive than its conventional option.
Kapten’s London general manager Mariusz Zabrocki said the company wanted to do its bit in reducing air pollution in the capital.
“Londoners expect ride-hailing companies to address the air quality issue right where they live and not just sugar-coat their actions with carbon offsetting that doesn’t tackle the problem.
“We’ve responded to this by introducing the electric class.”
Kapten launched in London in May in a bid to challenge Uber’s supremacy over the industry.
It has quickly jumped to the second-most used ride-hailing app in the capital on the back of a flurry of advertising and an offer of cheaper pricing.
Kapten chief executive Sebastien Oebel told City A.M. last month that the company wanted to promote itself as caring about social justice and the environment.
“We want to be a valuable partner to society and we believe our customers want to get the opportunity to support a company that believes in this,” Oebel said.
“The generation that is in their late teens, and early twenties, are in particular much more concerned about this factor than generations before.”
Read more: Uber launches new safety measures in a bid to extend its London licence
Kapten was awarded a long-term licence by Transport for London (TfL) to operate in the capital, unlike its main competitor Uber.
The Silicon Valley tech giant’s licence runs out next week, after it was granted just a two-month extension due to concerns about customer safety.


12 GEE, Continuous Outcome: Beat the Blues
library(tidyverse) # all things tidy
library(pander) # nice looking genderal tabulations
library(furniture) # nice table1() descriptives
library(texreg) # Convert Regression Output to LaTeX or HTML Tables
library(psych) # contains some useful functions, like headTail
library(lme4) # Linear, generalized linear, & nonlinear mixed models
library(corrplot) # Vizualize correlation matrix
library(gee) # Genderalized Estimation Equation Solver
library(geepack) # Genderalized Estimation Equation Package
library(MuMIn) # Multi-Model Inference (caluclate QIC)
library(HSAUR) # package with the dataset
12.1 Prepare and get to know the dataset
12.1.1 Read in the data
This data set is in the HSAUR package. It is from a clinical trial of an interactive multimedia program called ‘Beat the Blues’. The variables are as follows:
drug
did the patient take anti-depressant drugs (No or Yes)length
the length of the current episode of depression, a factor with levels:- “<6m” less than six months
- “>6m” more than six months
- “<6m” less than six months
treatment
treatment group, a factor with levels:- “TAU” treatment as usual
- “BtheB” Beat the Blues
- “TAU” treatment as usual
bdi.pre
Beck Depression Inventory II, before treatment
bdi.2m
Beck Depression Inventory II, after 2 months
bdi.4m
Beck Depression Inventory II, after 4 months
bdi.6m
Beck Depression Inventory II, after 6 months
bdi.8m
Beck Depression Inventory II, after 8 months
drug length treatment bdi.pre bdi.2m bdi.4m bdi.6m bdi.8m
1 No >6m TAU 29 2 2 <NA> <NA>
2 Yes >6m BtheB 32 16 24 17 20
3 Yes <6m TAU 25 20 <NA> <NA> <NA>
4 No >6m BtheB 21 17 16 10 9
... <NA> <NA> <NA> ... ... ... ... ...
97 Yes <6m TAU 28 <NA> <NA> <NA> <NA>
98 No >6m BtheB 11 22 9 11 11
99 No <6m TAU 13 5 5 0 6
100 Yes <6m TAU 43 <NA> <NA> <NA> <NA>
12.1.2 Tidy up the dataset
btb_wide <- BtheB %>%
dplyr::mutate(id = row_number()) %>% # create a new variable to ID participants
dplyr::select(id, treatment, # specify that ID variable is first
drug, length,
bdi.pre, bdi.2m, bdi.4m, bdi.6m, bdi.8m)
btb_wide %>%
furniture::table1(bdi.pre, bdi.2m, bdi.4m, bdi.6m, bdi.8m,
splitby = ~ treatment,
test = TRUE,
output = "html")
| TAU | BtheB | P-Value | |
|---|---|---|---|
| n = 25 | n = 27 | ||
| bdi pre | 0.432 | ||
| 24.1 (8.1) | 22.0 (10.9) | ||
| bdi 2m | 0.001 | ||
| 20.1 (11.5) | 10.9 (6.5) | ||
| bdi 4m | 0.01 | ||
| 17.8 (12.2) | 10.3 (6.9) | ||
| bdi 6m | 0.033 | ||
| 15.9 (12.8) | 9.5 (8.1) | ||
| bdi 8m | 0.074 | ||
| 13.6 (11.5) | 8.9 (6.1) |
12.1.3 Restructure to long format
btb_long <- btb_wide %>%
tidyr::pivot_longer(cols = c(bdi.2m, bdi.4m, bdi.6m, bdi.8m), # all existing variables (not quoted)
names_to = "month",
names_pattern = "bdi.(.)m",
names_ptype = list(month = numeric()),
values_to = "bdi") %>%
dplyr::filter(complete.cases(id, bdi, treatment, month)) %>%
dplyr::arrange(id, month) %>%
dplyr::select(id, treatment, drug, length, bdi.pre, month, bdi)
id treatment drug length bdi.pre month bdi
1 1 TAU No >6m 29 2 2
2 1 TAU No >6m 29 4 2
3 2 BtheB Yes >6m 32 2 16
4 2 BtheB Yes >6m 32 4 24
5 2 BtheB Yes >6m 32 6 17
6 2 BtheB Yes >6m 32 8 20
7 3 TAU Yes <6m 25 2 20
8 4 BtheB No >6m 21 2 17
9 4 BtheB No >6m 21 4 16
10 4 BtheB No >6m 21 6 10
11 ... <NA> <NA> <NA> ... ... ...
12 96 BtheB Yes >6m 16 6 10
13 96 BtheB Yes >6m 16 8 8
14 98 BtheB No >6m 11 2 22
15 98 BtheB No >6m 11 4 9
16 98 BtheB No >6m 11 6 11
17 98 BtheB No >6m 11 8 11
18 99 TAU No <6m 13 2 5
19 99 TAU No <6m 13 4 5
20 99 TAU No <6m 13 6 0
21 99 TAU No <6m 13 8 6
12.1.4 Visualize: Person-profile Plots
Create spaghetti plots of the raw, observed data
btb_long %>%
ggplot(aes(x = month,
y = bdi)) +
geom_point() +
geom_line(aes(group = id),
size = 1,
alpha = 0.3) +
geom_smooth(method = "lm") +
theme_bw() +
facet_grid(.~ treatment) +
labs(title = "BtheB - Observed Data Across Time with LM Smoother",
subtitle = "Seperate by Treatment")
btb_long %>%
ggplot(aes(x = month,
y = bdi)) +
geom_point() +
geom_line(aes(group = id),
size = 1,
alpha = 0.3) +
geom_smooth(method = "lm") +
facet_grid(drug~ treatment, labeller = label_both) +
theme_bw() +
labs(title = "BtheB - Observed Data Across Time with LM Smoother",
subtitle = "Seperate by Treatment & Antidepressant Use")
btb_long %>%
ggplot(aes(x = month,
y = bdi)) +
geom_point() +
geom_line(aes(group = id,
color = length),
size = 1,
alpha = 0.3) +
geom_smooth(aes(color = length),
method = "lm",
size = 1.25,
se = FALSE) +
facet_grid(drug~ treatment, labeller = label_both) +
theme_bw() +
labs(title = "BtheB - Observed Data Across Time with LM Smoother",
subtitle = "Seperate by Treatment, Antidepressant Use, & Length of Current Episode")
12.1.5 Calculate the Observed Correlation Structure
bdi_corr <- btb_wide %>%
dplyr::select(starts_with("bdi")) %>%
stats::cor(use="pairwise.complete.obs")
bdi_corr
bdi.pre bdi.2m bdi.4m bdi.6m bdi.8m
bdi.pre 1.0000000 0.6142207 0.5691248 0.5077286 0.3835090
bdi.2m 0.6142207 1.0000000 0.7903346 0.7849188 0.7038158
bdi.4m 0.5691248 0.7903346 1.0000000 0.8166591 0.7220149
bdi.6m 0.5077286 0.7849188 0.8166591 1.0000000 0.8107773
bdi.8m 0.3835090 0.7038158 0.7220149 0.8107773 1.0000000
12.1.6 Plot the correlation matrix to get a better feel for the pattern
12.2 Multiple Regression (OLS)
This ignores any correlation between repeated measures on the same individual and treats all observations as independent.
12.2.1 Fit the models
btb_lm_1 <- stats::lm(bdi ~ bdi.pre + length + drug + treatment + month,
data = btb_long)
btb_lm_2 <- stats::lm(bdi ~ bdi.pre + length + drug + treatment*month,
data = btb_long)
btb_lm_3 <- stats::lm(bdi ~ bdi.pre + length + drug + treatment + drug*month,
data = btb_long)
btb_lm_4 <- stats::lm(bdi ~ bdi.pre + length + drug*treatment*month,
data = btb_long)
12.2.2 Parameter Estimates Table
# Knit to Website: texreg::htmlreg()
# Knit to PDF: texreg::texreg()
# View on Screen: texreg::screenreg()
texreg::htmlreg(list(btb_lm_1, btb_lm_2, btb_lm_3, btb_lm_4),
label = "lm",
caption = "OLS")
| Model 1 | Model 2 | Model 3 | Model 4 | ||
|---|---|---|---|---|---|
| (Intercept) | 7.88*** | 7.77*** | 7.21*** | 7.33** | |
| (1.78) | (2.08) | (2.03) | (2.30) | ||
| bdi.pre | 0.57*** | 0.57*** | 0.57*** | 0.56*** | |
| (0.05) | (0.05) | (0.05) | (0.05) | ||
| length>6m | 1.75 | 1.75 | 1.78 | 1.86 | |
| (1.11) | (1.11) | (1.11) | (1.10) | ||
| drugYes | -3.55** | -3.55** | -2.10 | -2.00 | |
| (1.14) | (1.15) | (2.39) | (3.75) | ||
| treatmentBtheB | -3.35** | -3.13 | -3.36** | -3.31 | |
| (1.10) | (2.36) | (1.10) | (3.13) | ||
| month | -0.96*** | -0.93** | -0.82** | -0.60 | |
| (0.23) | (0.34) | (0.31) | (0.40) | ||
| treatmentBtheB:month | -0.05 | -0.56 | |||
| (0.47) | (0.63) | ||||
| drugYes:month | -0.32 | -1.02 | |||
| (0.47) | (0.73) | ||||
| drugYes:treatmentBtheB | -0.23 | ||||
| (4.92) | |||||
| drugYes:treatmentBtheB:month | 1.31 | ||||
| (0.98) | |||||
| R2 | 0.40 | 0.40 | 0.40 | 0.42 | |
| Adj. R2 | 0.39 | 0.38 | 0.39 | 0.40 | |
| Num. obs. | 280 | 280 | 280 | 280 | |
| RMSE | 8.65 | 8.67 | 8.66 | 8.58 | |
| p < 0.001, p < 0.01, p < 0.05 |
12.2.3 Plot the model predictions
effects::Effect(focal.predictors = c("treatment", "month"),
mod = btb_lm_1) %>%
data.frame %>%
dplyr::mutate(treatment = fct_reorder2(treatment, month, fit)) %>%
ggplot(aes(x = month,
y = fit)) +
geom_line(aes(color = treatment)) +
geom_ribbon(aes(ymin = lower,
ymax = upper,
fill = treatment),
alpha = 0.3) +
geom_ribbon(aes(ymin = fit - se,
ymax = fit + se,
fill = treatment),
alpha = 0.3) +
theme_bw() +
labs(title = "BtheB - Predictions from a Single Linear Model (lm)",
subtitle = "Assumes Independence of Repeated Measures") +
theme(legend.position = c(1, 1),
legend.justification = c(1.1, 1.1),
legend.background = element_rect(color = "black"))
12.3 Multilevel Models (MLM)
12.3.1 Fit the models
12.3.2 Parameter Estimates Table
# Knit to Website: texreg::htmlreg()
# Knit to PDF: texreg::texreg()
# View on Screen: texreg::screenreg()
texreg::htmlreg(list(btb_lm_1, btb_lmer_RI, btb_lmer_RIAS),
custom.model.names = c("OLS", "MLM-RI", "MLM-RIAS"),
label = "mlm",
caption = "LM vs. MLM")
| OLS | MLM-RI | MLM-RIAS | ||
|---|---|---|---|---|
| (Intercept) | 7.88*** | 5.92* | 5.94** | |
| (1.78) | (2.31) | (2.30) | ||
| bdi.pre | 0.57*** | 0.64*** | 0.64*** | |
| (0.05) | (0.08) | (0.08) | ||
| length>6m | 1.75 | 0.24 | 0.10 | |
| (1.11) | (1.68) | (1.67) | ||
| drugYes | -3.55** | -2.79 | -2.89 | |
| (1.14) | (1.77) | (1.76) | ||
| treatmentBtheB | -3.35** | -2.36 | -2.49 | |
| (1.10) | (1.71) | (1.71) | ||
| month | -0.96*** | -0.71*** | -0.70*** | |
| (0.23) | (0.15) | (0.16) | ||
| R2 | 0.40 | |||
| Adj. R2 | 0.39 | |||
| Num. obs. | 280 | 280 | 280 | |
| RMSE | 8.65 | |||
| AIC | 1882.08 | 1885.16 | ||
| BIC | 1911.16 | 1921.50 | ||
| Log Likelihood | -933.04 | -932.58 | ||
| Num. groups: id | 97 | 97 | ||
| Var: id (Intercept) | 51.44 | 50.56 | ||
| Var: Residual | 25.27 | 23.87 | ||
| Var: id month | 0.23 | |||
| Cov: id (Intercept) month | -0.31 | |||
| p < 0.001, p < 0.01, p < 0.05 |
12.3.3 Likelihood Ratio Test
Data: btb_long
Models:
btb_lmer_RI: bdi ~ bdi.pre + length + drug + treatment + month + (1 | id)
btb_lmer_RIAS: bdi ~ bdi.pre + length + drug + treatment + month + (month |
btb_lmer_RIAS: id)
Df AIC BIC logLik deviance Chisq Chi Df Pr(>Chisq)
btb_lmer_RI 8 1882.1 1911.2 -933.04 1866.1
btb_lmer_RIAS 10 1885.2 1921.5 -932.58 1865.2 0.9236 2 0.6301
12.3.4 Plot the model predictions
effects::Effect(c("treatment", "month", "drug"),
mod = btb_lmer_RI) %>%
data.frame %>%
dplyr::mutate(treatment = fct_reorder2(treatment, month, fit)) %>%
ggplot(aes(x = month,
y = fit)) +
geom_line(aes(color = treatment)) +
geom_ribbon(aes(ymin = lower,
ymax = upper,
fill = treatment),
alpha = 0.3) +
theme_bw() +
facet_grid(.~ drug, labeller = label_both) +
labs(title = "BtheB - Predictions from a Multilevel Model (lmer)") +
theme(legend.position = c(0, 0),
legend.justification = c(-0.1, -0.1),
legend.background = element_rect(color = "black"))
12.4 General Estimating Equations, GEE
12.4.1 Fit the models
Use the gee()
function from the gee
package for the results to be used in a texreg()
table.
btb_gee_in <- gee::gee(bdi ~ bdi.pre + length + drug + treatment + month,
data = btb_long,
id = id,
family = gaussian,
corstr = 'independence')
(Intercept) bdi.pre length>6m drugYes treatmentBtheB
7.8830747 0.5723729 1.7530800 -3.5460058 -3.3539662
month
-0.9608077
btb_gee_ex <- gee::gee(bdi ~ bdi.pre + length + drug + treatment + month,
data = btb_long,
id = id,
family = gaussian,
corstr = 'exchangeable')
(Intercept) bdi.pre length>6m drugYes treatmentBtheB
7.8830747 0.5723729 1.7530800 -3.5460058 -3.3539662
month
-0.9608077
# The AR-1 fails if any subjects have only 1 observation
# to use this one, we would need to remove participants with only 1 BDI
# btb_gee_ar <- gee(bdi ~ bdi.pre + length + drug + treatment + month,
# data = btb_long,
# id = id,
# family = gaussian,
# corstr = 'AR-M',
# Mv = 1)
btb_gee_un <- gee::gee(bdi ~ bdi.pre + length + drug + treatment + month,
data = btb_long,
id = id,
family = gaussian,
corstr = 'unstructured')
(Intercept) bdi.pre length>6m drugYes treatmentBtheB
7.8830747 0.5723729 1.7530800 -3.5460058 -3.3539662
month
-0.9608077
GEE: GENERALIZED LINEAR MODELS FOR DEPENDENT DATA
gee S-function, version 4.13 modified 98/01/27 (1998)
Model:
Link: Identity
Variance to Mean Relation: Gaussian
Correlation Structure: Independent
Call:
gee::gee(formula = bdi ~ bdi.pre + length + drug + treatment +
month, id = id, data = btb_long, family = gaussian, corstr = "independence")
Summary of Residuals:
Min 1Q Median 3Q Max
-24.20158432 -5.31202378 0.01101526 5.29503741 27.77789553
Coefficients:
Estimate Naive S.E. Naive z Robust S.E. Robust z
(Intercept) 7.8830747 1.78048908 4.427477 2.19973944 3.583640
bdi.pre 0.5723729 0.05486079 10.433188 0.08853253 6.465114
length>6m 1.7530800 1.10849861 1.581490 1.41954159 1.234962
drugYes -3.5460058 1.14469086 -3.097785 1.73069664 -2.048889
treatmentBtheB -3.3539662 1.09831939 -3.053726 1.71390982 -1.956909
month -0.9608077 0.23263437 -4.130119 0.17688635 -5.431780
Estimated Scale Parameter: 74.8854
Number of Iterations: 1
Working Correlation
[,1] [,2] [,3] [,4]
[1,] 1 0 0 0
[2,] 0 1 0 0
[3,] 0 0 1 0
[4,] 0 0 0 1
GEE: GENERALIZED LINEAR MODELS FOR DEPENDENT DATA
gee S-function, version 4.13 modified 98/01/27 (1998)
Model:
Link: Identity
Variance to Mean Relation: Gaussian
Correlation Structure: Exchangeable
Call:
gee::gee(formula = bdi ~ bdi.pre + length + drug + treatment +
month, id = id, data = btb_long, family = gaussian, corstr = "exchangeable")
Summary of Residuals:
Min 1Q Median 3Q Max
-25.4478843 -6.3276726 -0.8152833 4.3622258 25.4078115
Coefficients:
Estimate Naive S.E. Naive z Robust S.E. Robust z
(Intercept) 5.8855129 2.32380381 2.5327065 2.10712166 2.7931529
bdi.pre 0.6399964 0.08033495 7.9665999 0.07931263 8.0692874
length>6m 0.2084783 1.69179766 0.1232288 1.48052530 0.1408137
drugYes -2.7742506 1.78397557 -1.5550945 1.64824318 -1.6831561
treatmentBtheB -2.3360241 1.72621751 -1.3532617 1.66217026 -1.4054060
month -0.7078407 0.14254124 -4.9658660 0.15394156 -4.5981134
Estimated Scale Parameter: 77.14393
Number of Iterations: 5
Working Correlation
[,1] [,2] [,3] [,4]
[1,] 1.0000000 0.6915241 0.6915241 0.6915241
[2,] 0.6915241 1.0000000 0.6915241 0.6915241
[3,] 0.6915241 0.6915241 1.0000000 0.6915241
[4,] 0.6915241 0.6915241 0.6915241 1.0000000
GEE: GENERALIZED LINEAR MODELS FOR DEPENDENT DATA
gee S-function, version 4.13 modified 98/01/27 (1998)
Model:
Link: Identity
Variance to Mean Relation: Gaussian
Correlation Structure: Unstructured
Call:
gee::gee(formula = bdi ~ bdi.pre + length + drug + treatment +
month, id = id, data = btb_long, family = gaussian, corstr = "unstructured")
Summary of Residuals:
Min 1Q Median 3Q Max
-25.1527937 -6.1091139 -0.5896205 4.7316139 25.9041542
Coefficients:
Estimate Naive S.E. Naive z Robust S.E. Robust z
(Intercept) 6.3905215 2.28769760 2.793429 2.15668950 2.9631162
bdi.pre 0.6171798 0.07744569 7.969195 0.08081777 7.6366846
length>6m 0.5834398 1.61626647 0.360980 1.46837275 0.3973377
drugYes -2.7908835 1.69816226 -1.643473 1.63741987 -1.7044398
treatmentBtheB -2.4261698 1.64272613 -1.476917 1.65519523 -1.4657907
month -0.7628336 0.18121518 -4.209546 0.15643591 -4.8763329
Estimated Scale Parameter: 76.40371
Number of Iterations: 5
Working Correlation
[,1] [,2] [,3] [,4]
[1,] 1.0000000 0.7069560 0.5704892 0.4714744
[2,] 0.7069560 1.0000000 0.6086188 0.4637445
[3,] 0.5704892 0.6086188 1.0000000 0.5454963
[4,] 0.4714744 0.4637445 0.5454963 1.0000000
12.4.2 Parameter Estimates Table
# Knit to Website: texreg::htmlreg()
# Knit to PDF: texreg::texreg()
# View on Screen: texreg::screenreg()
texreg::htmlreg(list(btb_lm_1,
btb_lmer_RI,
btb_gee_in,
btb_gee_ex,
btb_gee_un),
custom.model.names = c("OLS",
"MLM-RI",
"GEE-in",
"GEE-ex",
"GEE-un"),
label = "GEEs",
caption = "LM, MLM, and GEE")
| OLS | MLM-RI | GEE-in | GEE-ex | GEE-un | ||
|---|---|---|---|---|---|---|
| (Intercept) | 7.88*** | 5.92* | 7.88*** | 5.89** | 6.39** | |
| (1.78) | (2.31) | (2.20) | (2.11) | (2.16) | ||
| bdi.pre | 0.57*** | 0.64*** | 0.57*** | 0.64*** | 0.62*** | |
| (0.05) | (0.08) | (0.09) | (0.08) | (0.08) | ||
| length>6m | 1.75 | 0.24 | 1.75 | 0.21 | 0.58 | |
| (1.11) | (1.68) | (1.42) | (1.48) | (1.47) | ||
| drugYes | -3.55** | -2.79 | -3.55* | -2.77 | -2.79 | |
| (1.14) | (1.77) | (1.73) | (1.65) | (1.64) | ||
| treatmentBtheB | -3.35** | -2.36 | -3.35 | -2.34 | -2.43 | |
| (1.10) | (1.71) | (1.71) | (1.66) | (1.66) | ||
| month | -0.96*** | -0.71*** | -0.96*** | -0.71*** | -0.76*** | |
| (0.23) | (0.15) | (0.18) | (0.15) | (0.16) | ||
| R2 | 0.40 | |||||
| Adj. R2 | 0.39 | |||||
| Num. obs. | 280 | 280 | 280 | 280 | 280 | |
| RMSE | 8.65 | |||||
| AIC | 1882.08 | |||||
| BIC | 1911.16 | |||||
| Log Likelihood | -933.04 | |||||
| Num. groups: id | 97 | |||||
| Var: id (Intercept) | 51.44 | |||||
| Var: Residual | 25.27 | |||||
| Dispersion | 74.89 | 77.14 | 76.40 | |||
| p < 0.001, p < 0.01, p < 0.05 |
12.4.3 Re-Fit Models
Use the geeglm()
function from the geepack
package for the results to be used in a anova()
table.
btb_geeglm_in <- geepack::geeglm(bdi ~ bdi.pre + length + drug + treatment + month,
data = btb_long,
id = id,
wave = month,
family = gaussian,
corstr = 'independence')
btb_geeglm_ex <- geepack::geeglm(bdi ~ bdi.pre + length + drug + treatment + month,
data = btb_long,
id = id,
wave = month,
family = gaussian,
corstr = 'exchangeable')
btb_geeglm_ar <- geepack::geeglm(bdi ~ bdi.pre + length + drug + treatment + month,
data = btb_long,
id = id,
wave = month,
family = gaussian,
corstr = 'ar1')
btb_geeglm_un <- geepack::geeglm(bdi ~ bdi.pre + length + drug + treatment + month,
data = btb_long,
id = id,
wave = month,
family = gaussian,
corstr = 'unstructured')
12.4.4 Can’t Use the Likelihood Ratio Test
The anova()
function is used to compare nested models for parameters (fixed effects), not correlation structures.
Models are identical
NULL
Models are identical
NULL
Models are identical
NULL
12.4.5 Variaous QIC Measures of Fit
References:
Pan, W. 2001. Akaike’s information criterion in generalized estimating equations. Biometrics 57:120-125. https://onlinelibrary.wiley.com/doi/abs/10.1111/j.0006-341X.2001.00120.x
Burnham, K. P. and D. R. Anderson. 2002. Model selection and multimodel inference: a practical information-theoretic approach. Second edition. Springer Science and Business Media, Inc., New York. https://cds.cern.ch/record/1608735/files/9780387953649_TOC.pdf
The QIC()
is one way to try to measure model fit. You can enter more than one model into a single function call.
QIC(I) based on independence model <– suggested by Pan (Biometric, March 2001), asymptotically unbiased estimator (choose the correlation stucture that produces the smallest QIC(I), p122)
MuMIn::QIC(btb_geeglm_in,
btb_geeglm_ex,
btb_geeglm_ar,
btb_geeglm_un,
typeR = FALSE) %>% # default
pander::pander(caption = "QIC")
| QIC | |
|---|---|
| btb_geeglm_in | 307 |
| btb_geeglm_ex | 296 |
| btb_geeglm_ar | 298 |
| btb_geeglm_un | 297 |
QIC(R) is based on quasi-likelihood of a working correlation R model, can NOT be used to select the working correlation matrix.
MuMIn::QIC(btb_geeglm_in,
btb_geeglm_ex,
btb_geeglm_ar,
btb_geeglm_un,
typeR = TRUE) # NOT the default
QIC
btb_geeglm_in 306.5589
btb_geeglm_ex 304.5003
btb_geeglm_ar 304.6425
btb_geeglm_un 304.4087
QIC_U(R) approximates QIC(R), and while both are useful for variable selection, they can NOT be applied to select the working correlation matrix.
QICu
btb_geeglm_in 292.0000
btb_geeglm_ex 283.7551
btb_geeglm_ar 285.6132
btb_geeglm_un 284.1707
MuMIn::model.sel(btb_geeglm_in,
btb_geeglm_ex,
btb_geeglm_ar,
btb_geeglm_un,
rank = "QIC") #sorts the best to the TOP, uses QIC(I)
Model selection table
(Int) bdi.pre drg lng mnt trt corstr qLik QIC delta
btb_geeglm_ex 5.880 0.6402 + + -0.7070 + exchng -140 296.3 0.00
btb_geeglm_un 6.068 0.6307 + + -0.7061 + unstrc -140 296.6 0.32
btb_geeglm_ar 6.620 0.5956 + + -0.7357 + ar1 -140 298.3 2.00
btb_geeglm_in 7.883 0.5724 + + -0.9608 + indpnd -140 306.6 10.30
weight
btb_geeglm_ex 0.450
btb_geeglm_un 0.382
btb_geeglm_ar 0.165
btb_geeglm_in 0.003
Abbreviations:
corstr: exchng = 'exchangeable', indpnd = 'independence',
unstrc = 'unstructured'
Models ranked by QIC(x)
12.4.6 Plot the model predictions
id treatment drug length bdi.pre
Min. : 1.00 TAU :135 No :156 <6m:122 Min. : 2.00
1st Qu.:22.75 BtheB:145 Yes:124 >6m:158 1st Qu.:15.00
Median :48.00 Median :21.00
Mean :49.55 Mean :22.99
3rd Qu.:76.25 3rd Qu.:31.00
Max. :99.00 Max. :49.00
month bdi
Min. :2.000 Min. : 0.00
1st Qu.:2.000 1st Qu.: 6.00
Median :4.000 Median :12.50
Mean :4.464 Mean :14.43
3rd Qu.:6.000 3rd Qu.:21.00
Max. :8.000 Max. :53.00
Do not worry about confidence intervals.
expand.grid(bdi.pre = 23,
length = "<6m",
drug = "No",
treatment = levels(btb_long$treatment),
month = seq(from = 2, to = 8, by = 2)) %>%
dplyr::mutate(fit_in = predict(btb_geeglm_in,
newdata = .,
type = "response")) %>%
dplyr::mutate(fit_ex = predict(btb_geeglm_ex,
newdata = .,
type = "response")) %>%
dplyr::mutate(fit_ar = predict(btb_geeglm_ar,
newdata = .,
type = "response")) %>%
dplyr::mutate(fit_un = predict(btb_geeglm_un,
newdata = .,
type = "response")) %>%
tidyr::pivot_longer(cols = starts_with("fit_"),
names_to = "covR",
names_pattern = "fit_(.*)",
names_ptype = list(covR = "factor()"),
values_to = "fit") %>%
dplyr::mutate(covR = factor(covR,
levels = c("un", "ar", "ex", "in"),
labels = c("Unstructured",
"Auto-Regressive",
"Compound Symetry",
"Independence"))) %>%
ggplot(aes(x = month,
y = fit,
linetype = treatment)) +
geom_line(alpha = 0.6) +
theme_bw() +
labs(title = "BtheB - Predictions from four GEE models (geeglm)",
x = "Month",
y = "Predicted BDI",
linetype = "Treatment:") +
scale_linetype_manual(values = c("solid", "longdash")) +
theme(legend.key.width = unit(1, "cm")) +
facet_wrap(~ covR)
expand.grid(bdi.pre = 23,
length = "<6m",
drug = "No",
treatment = levels(btb_long$treatment),
month = seq(from = 2, to = 8, by = 2)) %>%
dplyr::mutate(fit_in = predict(btb_geeglm_in,
newdata = .,
type = "response")) %>%
dplyr::mutate(fit_ex = predict(btb_geeglm_ex,
newdata = .,
type = "response")) %>%
dplyr::mutate(fit_ar = predict(btb_geeglm_ar,
newdata = .,
type = "response")) %>%
dplyr::mutate(fit_un = predict(btb_geeglm_un,
newdata = .,
type = "response")) %>%
tidyr::pivot_longer(cols = starts_with("fit_"),
names_to = "covR",
names_pattern = "fit_(.*)",
names_ptype = list(covR = "factor()"),
values_to = "fit") %>%
dplyr::mutate(covR = factor(covR,
levels = c("un", "ar", "ex", "in"),
labels = c("Unstructured",
"Auto-Regressive",
"Compound Symetry",
"Independence"))) %>%
ggplot(aes(x = month,
y = fit,
color = covR,
linetype = treatment)) +
geom_line(alpha = 0.6) +
theme_bw() +
labs(title = "BtheB - Predictions from four GEE models (geeglm)",
x = "Month",
y = "Predicted BDI",
color = "Covariance Pattern:",
linetype = "Treatment:") +
scale_linetype_manual(values = c("solid", "longdash")) +
scale_size_manual(values = c(2, 1, 1, 1)) +
scale_color_manual(values = c("red",
"dodgerblue",
"blue",
"darkgreen")) +
theme(legend.key.width = unit(1, "cm"))
Now only plot the significant variables for the ‘best’ model.
expand.grid(bdi.pre = c(10, 20, 30),
length = "<6m",
drug = levels(btb_long$drug),
treatment = "TAU",
month = seq(from = 2, to = 8, by = 2)) %>%
dplyr::mutate(fit = predict(btb_geeglm_ex,
newdata = .,
type = "response")) %>%
dplyr::mutate(bdi.pre = factor(bdi.pre)) %>%
ggplot(aes(x = month,
y = fit,
linetype = fct_rev(bdi.pre),
color = drug)) +
geom_line(size = 1) +
theme_bw() +
labs(title = "BtheB - Predictions from the GEE model (exchangable)",
subtitle = "Trajectory for a person with BL depression < 6 months and randomized to TAU",
x = "Month",
y = "Predicted BDI",
color = "Antidepressant Use:",
linetype = "Baseline BDI:") +
theme(legend.key.width = unit(1.5, "cm")) +
scale_linetype_manual(values = c("solid", "longdash", "dotted"))


@( scheduleForm: Form[arisia.controllers.ScheduleInput] )( implicit request: RequestHeader, messagesProvider: MessagesProvider ) @main("Add Test Schedule Item") {
This lets you inject a fake schedule item into the online schedule. It is strictly for test purposes, and the item will go away when the server is next restarted. It is only here for pre-con testing, and MUST NOT BE USED during the convention.
We do no validation of the inputs; if you mess it up, it will just fail.
@b4.horizontal.form(arisia.controllers.routes.ScheduleTestController.addTestScheduleItem(), "col-md-2", "col-md-10") { implicit hfc => @b4.text(scheduleForm("id"), Symbol("_label") -> "Item ID", Symbol("_help") -> "Make this a number larger than 1000") @b4.text(scheduleForm("title"), Symbol("_label") -> "Title", Symbol("_help") -> "The title to show in the schedule") @b4.text(scheduleForm("tags"), Symbol("_label") -> "Tags", Symbol("_help") -> "Optional comma-delimited tags") @b4.text(scheduleForm("time"), Symbol("_label") -> "Start Time", Symbol("_help") -> "24-hour time: eg, 22:30 for 10:30pm") @b4.text(scheduleForm("mins"), Symbol("_label") -> "Minutes", Symbol("_help") -> "How long this session runs") @b4.text(scheduleForm("loc"), Symbol("_label") -> "Location", Symbol("_help") -> "Must match a Zambia Zoom room name!") @b4.text(scheduleForm("people"), Symbol("_label") -> "Participant IDs", Symbol("_help") -> "Badge numbers of the panelists") @b4.text(scheduleForm("desc"), Symbol("_label") -> "Description") @b4.submit(Symbol("class") -> "btn btn-primary"){ Submit } } }


Examples
Basic use with minimal configuration
Adding some formatting
Handling events
Highlighting and flashing cells
Making it editable
Writing compound editors
Implementing Undo
Using a CompositeEditor to implement detached item edit form
(most comprehensive)
Using a filtered data view to drive the grid
Adding tree functionality (expand/collapse) to the grid
AJAX
-loading data with search
Using pre-compiled micro-templates to render cells
Row selection & reordering
Using background post-rendering to add graphs
No vertical scrolling
Filling the whole window
Sorting by an index, getItem method
Using fixed header row for quick filters
Plugin: Checkbox row selectors with CheckboxSelectColumn plugin
Spreadsheet: cell range selection, copy’n’paste and Excel-style formula editor
Interactive grouping and aggregates
.
Colspan
Optimizing DataView for 500’000 rows
Explicit initialization
Multi-column sorting
Using dataItemColumnValueExtractor option to specify a custom column value extractor
Plugin: Column header buttons
Plugin: Column header menu
Plugin: Auto tooltips
Example of Group Header


Prerequisites
- Dynatrace SaaS or Managed tenant
- API Token w/ ReadConfig, WriteConfig, User Sessions (DTAQLAccess), and DataExport
- One or more Web Applications configured
- One or more Business KPIs configured as User Session Properties
- Two or more Key User Actions (or conversion goals) to define your Funnel or User Journey
or