def hello(visitor): if visitor.you == 'new': introduce_self( myName = 'Keiland', myWork = ['Cognitive Science' , 'Neuroscience', 'AI', 'Data Science'] myLocation = '@ UCI') else: welcome_back()
In a Nutshell
Complex systems surround us: the ebbs and flows of the stock market, animals foraging for food, or our social networks. Like most scientists, I wish to define the key parts of systems, the underpinnings of their dynamism, and the outcomes of their interactions. I’m chiefly concerned with a system which is perhaps the most complex, yet personal of the lot.
Sitting on top of your shoulders is not only what allows you to read and comprehend this paragraph, but defines ‘you’ in the first place; from your favorite song, the fact you like ketchup but not tomatoes, your fear of spiders, to your hopes, dreams, and aspirations. We are defined by the patterns of activity of billions of cells in our brain.
 Yet, we're not born with the ability to do all this, but learn over days, years, and lifetimes. My work aims to understand the brain systems that allow this lifelong, continual learning and remembrance to occur.
Recent News
Probably out of date, however.
Paper: Hippocampal non-spatial sequences
220208
Our collaborative paper exploring hippocampal sequence representation was recently published in Nature Communications!
Alzheimer's Clock
220109
A counter of the global Alzheimer's incidence here!
New post on GRFP advice
220108
A new post on tips, resources, and advice on grants and the GRFP here!
Continual Learning + Neuromatch
210820
We are partnering with Neuromatch to bring Continual Learning lectures and intro code to the masses. Find out more here!
Paper: Avalanche: A Continual Learning Platform
210619
Our new paper detailing Avalanche
NSF Fellowship
210510
I'm quite honored to have been granted an NSF research fellowship this past cycle.
Paper: Smell and COVID-19
201014
Our new paper on modeling COVID-19 spread through smell loss was recently published in Nature Comms
Emailing talk
200513
We spend way too much time in our inbox. I gave a short seminar on best emailing practices. Find it here
COVID-19 Preprint
200412
New COVID-19 preprint with some of the awesome GCCR members just released! Check it out here


Franco Smith to take over as Italy's interim head coach for Six Nations
The South African will take over from Conor O’Shea, who stood down over the weekend.
by The42 TeamSOUTH AFRICAN FRANCO Smith will be at the helm for Italy through the 2020 Six Nations, but the Italian Rugby Federation (FIR) will continue its search for a permanent successor to Conor O’Shea.
O’Shea stepped down last week after over three years in the role following their World Cup campaign in a pool that included New Zealand and eventual winners South Africa.
Wins over Namibia and Canada gave them some cause for cheer, although Italy were denied a meeting with the All Blacks – and therefore any shot at qualifying for the knockout stage – by the devastation wrought by Typhoon Hagibis.
The FIR today said that Smith, Giampiero De Carli and Marius Goosen would lead the coaching ticket for the Six Nations, with a permanent staff installed in the summer for the lead up to the 2023 World Cup.
Smith, who has coached the Cheetahs and Treviso, will be out to avoid a fifth consecutive wooden spoon for Italy at the Six Nations.
A new coach is expected to be appointed by July 1.


AC Milan offer Ibrahimovic six-month deal
by BeSoccerSweden star Zlatan Ibrahimovic has been offered a six-month deal to come to the aid of struggling former Italian giants AC Milan, according to reports in Italy on Thursday.
The 38-year-old striker confirmed his departure from Los Angeles Galaxy last week following the club's elimination from the Major League Soccer playoffs.
Gazzetta dello Sport and Sky Sports Italia reported that the former seven-time European champions have now made contact with the player's agent Mino Raiola.
The US-owned club want the former Swedish international for six months and are prepared to pay him six million euros ($6.6 million) if he remains for 18 months in total, Gazzetta claimed.
Featured links
- BREAKING NEWS: Mourinho replaces Pochettino at Tottenham
- The latest football transfers news and rumours
- Wales, golf, Madrid... in that order
- Luis Enrique returns to Spain national team
Milan finished fifth last season, missing out on a return to Champions League football by just a point to city rivals Inter.
They have had a poor start to this campaign and are 14th after 12 games before they host last year's runners-up Napoli on Saturday in the San Siro.
Ibrahimovic played for two seasons between 2010 and 2012 with AC Milan, helping them to their last Serie A title, and scoring 42 goals in 61 league appearances.
He also won three league titles with Inter Milan, and two with Juventus, which were both revoked following the 'Calciopoli' match-fixing scandal.


Provides tools and samples that enhance your interop development experience.
In marshalling there are many attributes and rules for dealing with types. Understanding all of these can be a bit daunting. To improve the development experience, the P/Invoke Interop Assistant was created. It is a tool that conveniently converts C/C++ to managed P/Invoke signatures or verse visa. It even comes with a database of Win32 functions, data types, and constants, so the common task of adding a Win32 P/Invoke to your C# or Visual Basic source file is made very easy. There is a great marshalling article on MSDN Magazine website which highlights the tool. We hope you enjoy it!
Tlbimp is a command line tool which creates a managed, interop assembly from a COM type library. This is essentially the same tool that was released with versions of the .NET Framework SDK, but written entirely in managed code. Providing a managed version will enable developers to explore and extend its features. We also plan on adding new features to make it more customizable. Stay tuned for more enhancements!
IL stubs are dynamically generated on the fly by the CLR and handle the marshalling and invocation of the target method. The IL Stub Diagnostic tool was created to ease the interop debugging experience. It is a real-time monitor which shows the details of every IL stub generated by the CLR in a given process. For each stub, the tool currently displays its IL code as well as the signature of the managed/native methods. This release is supported on Windows Vista+. Further, we plan on releasing enhancements of the tool during the Visual Studio 2010 Beta period. Stay tuned!!
ICustomQueryInterface is a new interface that will be released in CLR v4. This feature will enable developers to provide their own managed implementation of custom and standard COM interfaces (except IUnknown). In this sample, we will show you how to construct a managed COM aggregation system in the context of a managed implementation of IDispatch with ICustomQueryInterface.
ICustomQueryInterface is a new interface that will be released in CLR v4 and we already released a sample above to demo managed aggregation and customized IDispatch. To further demo the power of CustomQueryInterface and the ability to use the .Net technology (WCF) within COM world, this sample targets the customization of IMarshal interface by using WCF.


Paul on coach’s challenge: ‘It needs a lot of work’
Chris Paul had to bite his tongue when asked Thursday about the coach’s challenge.
“It needs a lot of work,” Paul said. “I don’t even know if I can say that because I’m on the Competition Committee. But one of the things I wish is that if you challenge it, you at least get to keep your timeout. I don’t think that makes a lot of sense. I know that the committee is working through things and trying to see how it goes.”
If a coach wants to challenge a play, they must call for a timeout and immediately signal for a challenge. Only if the challenge is successful does the team get the timeout back.
OKC was on the wrong end of Doc Rivers’ successful challenge Monday night in Los Angeles. A reach-in foul that would’ve sent Thunder forward Danilo Gallinari to the free throw line with 7.3 seconds left was overturned.
Two free throws would have put the Thunder ahead.
Foul calls have only been overturned 34% of the time. Challenges overall have a 38% success rate.
Holiday assist
Hamidou Diallo handed over a bag overflowing with canned fruits and vegetables, and cornbread and cake mixes.“It’s a little heavy,” he warned.
To his left, Thunder teammate Andre Roberson placed turkeys into shopping carts and thankful arms. One child asked Roberson how tall he is.
“How short are you?” Roberson responded with a teasing smile. “Never thought about that, huh?”
Roberson and Diallo helped distribute 400 Thanksgiving meals Thursday afternoon to families in need. The event was held in northeast Oklahoma City at Restore OKC, an organization that seeks to see reconciliation in communities that have been marked by injustice and division.
“Growing up, I didn’t have things like this around my community,” Diallo said. “For us to come into cities like this and be able to give back to those people that are a little bit less fortunate, the same as I was when I was growing up, it’s honestly a blessing. It’s great to see them. It’s great to put smiles on their faces.”
The event, in partnership with Homeland, was part of the Thunder’s 12th annual Holiday Assist tradition.
Injury update
Diallo participated without restrictions in a contact practice Thursday, coach Billy Donovan said. Diallo (left knee sprain) has missed OKC’s last three games.
Roberson (left knee injury recovery) participated in contact practices earlier this season, but not on Thursday. He hasn’t played in a competitive game since January 2018.
“He’s really not quite all the way there from a comfort standpoint,” Donovan said. “I think that’s what he’s trying to work towards.”
Donovan was asked last week if Roberson will play this season.
“We’re hopeful,” Donovan said. “He’s a lot better off today than last year at this point. Where that leads and how far away from playing is he? It’s just too hard for me to say.”
Joe Mussatto, Staff writer


This is my very first paragraph
This is my second paragraph.
Check out ESPN.
Here is a list of fruit
Here is a list of the best vegetables


| 15 May 1905 |
Abraham Zapruder born in Kovel, Russia. |
| 21 May 1917 |
John Fitzgerald Kennedy born to Rose and Joseph P. Kennedy, Brookline MA. |
| 1934 |
Loses virginity in a Harlem bordello. |
| 1936 |
Enters Harvard University. |
| 1940 |
Graduates Harvard University. Enters U.S. Navy. |
| 25 Apr 1943 |
Receives command of PT-109. |
| 2 Aug 1943 |
Kennedy's PT-109 boat sliced in two by a Japanese destroyer. Two of its crew die. |
| 1945 |
Discharged from U.S. Navy. |
| Nov 1946 |
Elected to U.S. House of Representatives. |
| 1947 |
Administered last rites, after returning home from England. |
| 1951 |
Administered last rites, during a high fever in Japan. |
| Nov 1952 |
Elected to U.S. Senate. |
| 12 Sep 1953 |
Marries Jackie Bouvier. |
| Oct 1954 |
Administered last rites, following lumbar spine operation which went poorly. |
| 1955 |
Undergoes another lumbar spine operation. |
| 23 Aug 1956 |
Jackie's baby is stillborn. |
| 1957 |
Profiles in Courage wins a Pulitzer Prize. |
| 2 Jan 1960 |
Announces candidacy for Presidency. |
| 1960 |
Stripper Blaze Starr sleeps with Kennedy, New Orleans. |
| 1960 |
Meets Judith Campbell Exner, Las Vegas NV. They began a multi-year affair, with many visits by Exner to the White House. "The feeling that I was there to [orally] service him really began to trouble me." Judith had later affairs with mobster Sam Giancana, Tony Bennett, Eddie Fisher, etc. |
| 8 Nov 1960 |
Elected first Catholic President of the United States, defeating Richard M. Nixon. |
| 25 Nov 1960 |
Son, John F. Kennedy Jr., born. |
| 11 Dec 1960 |
In Palm Beach, Florida, retired postmaster Richard Pavlick chooses at the last moment not to ram John F. Kennedy's car and detonate his seven sticks of dynamite. Pavlick later explains that it was out of concern for the President-elect's family: "I did not wish to harm her or the children... I decided to get him at the church or someplace later." |
| 19 Jan 1961 |
Inaugural ball held, Washington DC. Frank Sinatra sings Camelot. |
| 1961 |
Begins an affair with Marilyn Monroe. |
| 21 May 1962 |
Marilyn Monroe: Happy Birthday, Mister President. |
| 1962 |
Mary Pinchot Meyer sleeps with Kennedy in the White House. They smoke Marijuana together there. |
| c. Jul 1963 |
Shakes hands with a teenaged Bill Clinton in the Rose Garden. |
| 20 Nov 1963 |
Rose Cheramie reports to the Louisiana State Police that Kennedy's impending assassination is "common knowledge" among the Mafia. Lt. Francis Fruge takes Cheramie's call, while she was hospitalized for an accident at Moosa Memorial Hospital in Eunice, LA. |
| 22 Nov 1963 |
Kennedy assassinated, in Dallas. Fr. Oscar Huber administers last rites, and is quoted by wire service UPI as saying "He's dead, all right." Lee Harvey Oswald captured hours later. |
| Oct 1964 |
Mary Pinchot Meyer murdered. |
| 22 Oct 1968 |
Aristotle Onassis marries Kennedy's widow, Jackie Kennedy. |
| 30 Aug 1970 |
Abraham Zapruder dies of stomach cancer in Dallas. |
| 20 May 1994 |
Kennedy's widow, Jackie Kennedy Onassis, dies of non-Hodgkins lymphoma. |
| 23 Nov 1998 |
The nonprofit Assassination Archives and Research Center files suit in Federal court to prevent the government from its plan to purchase the Zapruder Film while not acquiring the copyright. The suit also claims the Zapruder family's copyright on the film is invalid. |
| 25 Sep 1999 |
Judith Campbell Exner dies of cancer. |
| Jul 2002 |
Kennedy's PT-109 is located by Robert Ballard and a National Geographic film crew. |


|
geopm
2.0.0+dev476g5def867dd
GEOPM - Global Extensible Open Power Manager
|
Retrieves sample data from the set of application ranks on a single node. More...
#include <ProfileSampler.hpp>
Public Member Functions | |
| ProfileSamplerImp (size_t table_size) | |
| ProfileSamplerImp constructor. More... | |
| ProfileSamplerImp (const PlatformTopo &topo, size_t table_size) | |
| ProfileSamplerImp constructor. More... | |
| virtual | ~ProfileSamplerImp () |
| ProfileSamplerImp destructor. More... | |
| bool | do_shutdown (void) const override |
| Check if the application is shutting down. More... | |
| bool | do_report (void) const override |
| Generate a post-run report for a single node. More... | |
| void | region_names (void) override |
| void | initialize (void) override |
| Initialize shared memory regions. More... | |
| int | rank_per_node (void) const override |
| Return the number of ranks per node. More... | |
| std::vector< int > | cpu_rank (void) const override |
| Retrieve a vector to the affinities of all application ranks. More... | |
| std::set< std::string > | name_set (void) const override |
| std::string | report_name (void) const override |
| std::string | profile_name (void) const override |
| void | controller_ready (void) override |
| Signal to the application that the controller is ready to begin receiving samples. More... | |
| void | abort (void) override |
| Signal application of failure. More... | |
| void | check_sample_end (void) override |
| Public Member Functions inherited from geopm::ProfileSampler | |
| ProfileSampler ()=default | |
| ProfileSampler (const ProfileSampler &other)=default | |
| ProfileSampler & | operator= (const ProfileSampler &other)=default |
| virtual | ~ProfileSampler ()=default |
Retrieves sample data from the set of application ranks on a single node.
The ProfileSampler class is the geopm runtime side interface to the GEOPM profiler. It retrieves samples from all application ranks on a single compute node. It is also the interface to the shared memory region used to coordinate between the geopm runtime and the MPI application.
| geopm::ProfileSamplerImp::ProfileSamplerImp | ( | size_t | table_size | ) |
ProfileSamplerImp constructor.
Constructs a shared memory region for coordination between the geopm runtime and the MPI application.
| [in] | table_size | The size of the hash table that will be created for each application rank. |
| geopm::ProfileSamplerImp::ProfileSamplerImp | ( | const PlatformTopo & | topo, |
| size_t | table_size | ||
| ) |
ProfileSamplerImp constructor.
Constructs a shared memory region for coordination between the geopm runtime and the MPI application.
| [in] | topo | Reference to PlatformTopo singleton. |
| [in] | table_size | The size of the hash table that will be created for each application rank. |
|
virtual |
ProfileSamplerImp destructor.
|
overridevirtual |
Signal application of failure.
Implements geopm::ProfileSampler.
|
overridevirtual |
Implements geopm::ProfileSampler.
|
overridevirtual |
Signal to the application that the controller is ready to begin receiving samples.
Implements geopm::ProfileSampler.
|
overridevirtual |
Retrieve a vector to the affinities of all application ranks.
Return vector is sized to number of Linux online CPUs in the system. Each element of the vector is indexed by the Linux CPU ID, and the value assigned is the MPI rank running on the CPU (or -1 if no rank has been affinitized).
Implements geopm::ProfileSampler.
|
overridevirtual |
Generate a post-run report for a single node.
Generates a post-run report by telling each ProfileRankSampler to dump its per-region statistics to a file descriptor.
Implements geopm::ProfileSampler.
|
overridevirtual |
Check if the application is shutting down.
Queries the control shared memory region to test if the application status in shutdown.
Implements geopm::ProfileSampler.
|
overridevirtual |
Initialize shared memory regions.
Coordinates with the application to initialize shared memory and create ProfileRankSamplers for each MPI application rank running on the local compute node.
Implements geopm::ProfileSampler.
|
overridevirtual |
Implements geopm::ProfileSampler.
|
overridevirtual |
Implements geopm::ProfileSampler.
|
overridevirtual |
Return the number of ranks per node.
Implements geopm::ProfileSampler.
|
overridevirtual |
Implements geopm::ProfileSampler.
|
overridevirtual |
Implements geopm::ProfileSampler.


Performs the two-sample comparisons using the following exact test procedures: the exact likelihood-ratio test (LRT) for equality of two normal populations proposed in Zhang et al. (2012); the combined test based on the LRT and Shapiro-Wilk test for normality via the Bonferroni correction technique; the newly proposed density-based empirical likelihood (DBEL) ratio test. To calculate p-values of the DBEL procedures, three procedures are used: (a) the traditional Monte Carlo (MC) method implemented in C++, (b) a new interpolation method based on regression techniques to operate with tabulated critical values of the test statistic; (c) a Bayesian type method that uses the tabulated critical values as the prior information and MC generated DBEL-test-statistic's values as data.
| Version: | 1.0-3 |
| Published: | 2015-01-07 |
| Author: | Yang Zhao, Albert Vexler, Alan Hutson |
| Maintainer: | Yang Zhao <yzhao37 at buffalo.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | tsc results |
| Reference manual: | tsc.pdf |
| Package source: | tsc_1.0-3.tar.gz |
| Windows binaries: | r-devel: tsc_1.0-3.zip, r-release: tsc_1.0-3.zip, r-oldrel: tsc_1.0-3.zip |
| OS X binaries: | r-release: tsc_1.0-3.tgz, r-oldrel: tsc_1.0-3.tgz |
| Old sources: | tsc archive |
Please use the canonical form https://CRAN.R-project.org/package=tsc to link to this page.


Bean(1997) ©1997 Matt Petras
Official site:
http://www.bean-themovie.com
Length: 90 min (1:30 hours) Rating: * out of ****
Mr. Bean, a bumbling security guard from England is sent to LA to help with the grandiose homecoming of a masterpiece American painting. The first two words should have said enough to let you know what occurs during Bean's trip to LA, but if they didn't look out because you are in for a rather interesting if not odd ride. Heck depending on your humor you might end up laughing through the whole flick. Either way look out America Bean is coming. Well, what can really be said about this movie, there is very little discernible plot. That much is not hard to grapple with for it is a slapstick comedy. It achieves that goal rather admirably, but because it is that, the plot is just screaming for help. The whole premise that the movie is based on is to say the least flawed. The movie had its funny moments but there was no real story line other than something that could be thought up on a whim and carried through and in many causes ad-libbed as you went. Don't go into this movie expecting and theatrical masterpiece.  The movie goes out and accomplishes what it aims, or so it seems. Now when you look at the acting in this movie you have to think about two things, first was there any real acting and how hard is it to act in the slapstick manner. Well, there was no real acting in this movie but some of the slapstick wasn't the easiest I am sure. I have to concede that Mr. Atkinson's acting in this movie is well done. Although the role isn't too demanding the slapstick is. I think that the character could have had a bit more dialogue, it would have added quite a bit to the overall effect of the movie. Now the rest of the actors in the movie, bad acting and poor casting. I think that the role opposite Bean could have been better, just seemed wrong for the movie. A different actor might have done a better job of it but I wont presume that wasn't what was trying to be achieved. One thing that I must say, simply to get if off my chest is that I think transferring a sitcom to TV usually produces rather disastrous results. TV shows should do just that stay on TV, it will probably save some producers from getting ulcers. I can only think of a couple examples of TV going to the big screen effectively, the best known of those would have to be Star Trek. Bean seriously fails to accomplish anything close to what that series gone movie achieved. Now another thing that I have to state again is this movie has narrowed its target audience fairly tightly.  But if you like the TV show you might actually like this movie. But to be on the safe side I am opting to recommend you save your money and not go to see this movie. There are many movies that are truly worth seeing unlike this one.
December 22, 1997
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


I build online businesses.
If you have knowledge of a particular industry and see an opportunity there, please send me an email. If you happen to be in Zurich, let's meet for a coffee.
You can reach me at linas@sablovskis.com


1999 Maryland Masters Results
First, thanks to Bryce Avery, James Dinan, Kristin Hamlin, and Michelle
Cantave for reading at various points during the weekend.
Almost everyone seemed to enjoy the questions. Some rooms were pretty hot,
and the Masters tournament lasted until fairly late, but we don't play no
pansy-ass quizbowl here at UMCP.
so anyway, here's the results:
Rosters
- A The extraordinary number of episodes in this novel render any coherent
plot summary impossible
- B One Big Happy
- Shawn P.
- Andy G.
- Ben L.
- Mike M.
- Paul H.
- C Anne, the least talented of the sisters
- Matt C.
- Dave H.
- Dave G.
- Zeke B.
- D He was granted the post for being a good Whig
- John N.
- Christine M.
- Adam F.
- Shaun H.
- E Ricky Martin Fan Club - We're Livin' La Vida Loca!
- Mike S.
- Ken L.
- Maureen S.
- Arthur F.
- F Herrick is essentially a happy poet
- Eliot B.
- Roger C.
- Alexis G.
- Walt J.
Double Round Robin
| Team | Record | Tot points. | Opps |
| Anne | 10-0 | 3270 | 1070 |
| Herrick | 7-3 | 2005 | 1795 |
| Ricky Martin | 5-5 | 1780 | 1780 |
| One Big Happy | 4-6 | 1085 | 2205 |
| Extraordinary number | 3-7 | 1605 | 1950 |
| Good Whig | 1-9 | 1315 | 2260 |
Playoffs
Anne d. Herrick 245-150
Anne d. Herrick 295-75
Ricky d. One Big Happy 200-95
One Big Happy d. Ricky 125-115
Ricky d. One Big Happy 305-55
Good Whig d. Extraordinary 285-55
Extraordinary d. Good Whig 210-80
Good Whig d. Extraordinary 255-95
Final Placement
- Anne
- Herrick
- Ricky Martin
- One Big Happy
- Good Whig
- Extraordinary number
Individual Stats
| Player | Tossups | Ints | GP | Avg. | Ratio |
| Dave H. | 67 | 4 | 10 | 65 | 16.75 |
| Eliot | 62 | 18 | 10 | 53 | 3.44 |
| Arthur | 36 | 7 | 10 | 32.5 | 5.143 |
| Rick | 33 | 6 | 10 | 30 | 5.5 |
| Tim | 36 | 13 | 10 | 29.5 | 2.77 |
| Dave G. | 32 | 6 | 10 | 29 | 5.33 |
| Shawn | 27 | 3 | 9 | 28.33 | 9 |
| Mike S. | 32 | 9 | 10 | 27.5 | 3.556 |
| John | 35 | 17 | 10 | 26.5 | 2.06 |
| Roger | 28 | 4 | 10 | 26 | 7 |
| Mike M. | 16 | 4 | 8 | 17.5 | 4 |
| Zeke | 17 | 3 | 10 | 15.5 | 5.67 |
| Matt | 17 | 4 | 10 | 15 | 4.25 |
| Ken | 15 | 3 | 10 | 13.5 | 5 |
| Adam | 16 | 6 | 10 | 13 | 2.67 |
| Jeff | 14 | 4 | 10 | 12 | 3.5 |
| Shaun | 11 | 4 | 10 | 9 | 2.75 |
| Ben | 9 | 6 | 8 | 7.5 | 1.5 |
| Andy | 6 | 2 | 8 | 6.25 | 3 |
| Paul | 2 | 0 | 7 | 2.86 | ? |
| Alexis | 2 | 0 | 10 | 2 | ! |
| Walt | 2 | 0 | 10 | 2 | # |
| Christine | 2 | 3 | 4 | 1.25 | 0.667 |
| Maureen | 1 | 2 | 10 | 0 | 0.5 |
Singles
The round-by-round results from the singles tournament are lost, but the
final standings are:
- Dave H.
- Dave G.
- John
- Eliot
- Mike
- Arthur
- Christine
- Roger
- Adam
- Shaun
- Zeke
- Kristin
Matt Colvin dropped out early and volunteered to read, since we were
severly understaffed. He also brought two buzzers and came up with a
usable format for so few people, and thus salvaged a foundering
tournament.
The questions can be purchased through their respective writers: Andrew Yaphe,
and Eric Hilleman/Subash.
Thanks again to everyone who attended!
[
Back to MAQT Home Page
]
Maintained by David Hamilton
Comments, complaints can be sent to the author at
<EMAIL_ADDRESS>Last updated August 21, 1999.


Overview • User interface • Model building • Build menu ↑ | ↓
This builder is intended for disordered or partially disordered domains that may be N-terminal, C-terminal, or may connect two resolved residues (closed loops) in an existing protein structure. Alternatively, it can be used to model intrinsically disordered proteins (free standing mode). It requires that SCWRL4 is installed and present on the Matlab path.
Possible restraints include
Random cis links are generated according to the statistics of the Jena library of Biological Macromolecules, i.e. with a probability of 5% from pre-proline residues and of 0.03% otherwise.
The ensemble can be visualized during the computation and can be saved from the MMM File menu as a PDB file with several models. Fulfillment of distance and depth restraints by the ensemble can be visualized.
Modeling requires a restraint file (the format is described below) and, optionally, a structure in which the disordered domain is anchored.
The template structure (if any) must be loaded and must be the current structure in MMM before the window is opened. Otherwise the program assumes the free standing mode.
Currently, the following restraint keywords are defined for domain ensemble modeling:
# PDB
(single-line), argument: PDB identifier of template structure, the chain can be given after a colon (:
) # DOMAIN
(single-line), arguments: number of the first and last residue to be modelled # NANCHOR
(single-line), argument: MMM address of the residue in the template structure that prececdes the first residue of the domain to be modelled # CANCHOR
(single-line), argument: MMM address of the residue in the template structure that follows the last residue of the domain to be modelled # SEQUENCE
(single-line), argument: sequence (in single-letter amino acid code) of the domain to be modelled # ENSEMBLE
(single-line), arguments: number of conformations to be modelled and ensemble probability, which defaults to 0.5 (see below) # DEER
(block), arguments: spin label and temperature (in K) for rotamer simulation, starts block for EPR (DEER and CW EPR) restraints # OLIGOMER
(block), arguments: multiplicity n, spin label and temperature (in K) for rotamer simulation, starts block for EPR (DEER and CW EPR) restraints # DEPTH
(block), arguments: spin label and temperature (in K) for rotamer simulation, starts block for depth restraints, spin label can be replaced by CA for Cα # HELICES
(block), no arguments, starts specification of secondary structure restraints for (α-)helices. # STRANDS
(block), no arguments, starts specification of secondary structure restraints for β-strands. # CISPEPTIDE
(single-line), arguments: residue numbers, separated by spaces, of residues that have cis peptide links to the next residue # APROP
(block), no arguments, starts specification of α-helix propensity restraints # BPROP
(block), no arguments, starts specification of β-strand propensity restraints # PPROP
(block), no arguments, starts specification of PPII-helix propensity restraints # END
(single-line), no arguments, stops reading of the file
Among these keywords, # DOMAIN
and # SEQUENCE
are mandatory and, currently, and at least one anchor ( # NANCHOR
for a C-terminal loop or # CANCHOR
for an N-terminal loop)) is required if beacon restraints are used. If both # NANCHOR
and # CANCHOR
are provided, a closed loop is modelled. Without anchors the loop is free standing and cannot be related by restraints to another structure.
# PDB
: This is used for a check whether the current structure in MMM, which can be picked in the hierarchy window, is the requested template structure. If the current structure in MMM has a different PDB identifier than specified in the constraints file, the user can either use the current structure or load the specified structure (if it is available on the FTP server of the PDB).
# DEER
: The arguments of this keyword supersede any spin labeling with a different label or at a different temperature that you may already have performed on the template structure (rotamers are automatically recomputed). If rotamer computation (site scan) was already performed for the specified sites (see below) with matching spin label and temperature, rotamer computation is skipped. It is not necessary to compute labels before, since version 2011 rotamer computation is fast. In any case you should not actually attach the labels before fitting.
DEER restraint specification: DEER restraints are specified by MMM addresses of the two residues involved, followed by the mean distance (in nm) and the standard deviation (in nm). Alternatively a lower and upper bound for the distance (in nm) can be provided by using negative numbers.
The program determines from the given residue addresses whether one residue is in the template structure (beacon restraint) or both residues are in the domain to be modelled (internal restraint). Restraints between two residues in the template structure are ignored and a warning is displayed in the Message Board of the MMM main window.
It is good practice to comment each restraint (where does it come from, functional assay, etc.). Constraints from CW EPR are currently specified as DEER constraints.
# OLIGOMER
: You can specify modal distances (the nearest neighbor distance) between equivalent residues in different protomers of the same homoligomer. The distance is interpreted as the side length of a polygon with n vertices, corresponding to a homooligomer with Cn symmetry. The coordinate frame z axis is the Cn axis. If this feature is used for anchored loops, you must transform the template structure to this symmetry frame before you open the Domain ensemble
window. The transformation can be achieved with the Symmetry frame
feature in the Edit menu.
Oligomer restraints must refer to residues inside the loop to be modelled.
Oligomer restraint specification: Oligomer restraints are specified by MMM address of the residue in the modeled domain (residue number is sufficient), followed by the mean distance to the equivalent residue in the first neighbor protomer (in nm) and the standard deviation (in nm). Alternatively a lower and upper bound for the distance (in nm) can be provided by using negative numbers.
# DEPTH
:
The use of depth restraints requires that the z axis is perpendicular to the lipid bilayer and that the center of the bilayer corresponds to z = 0. For homooligomeric membrane proteins z axis alignment is best done with the Symmetry frame
feature in the Assign TM helices or strands
item in the Edit
menu. In both cases the origin of the z axis can be defined with the bilayer with the Bilayer
feature in the Build
menu.
This requires that the third-party software MSMS is installed for computing the solvent-accessible surface.
Depth restraint specification: Depth restraints are specified by MMM address of the residue in the modeled domain (residue number is sufficient), followed by the absolute value of the distance (in nm) from the bilayer center and the standard deviation (in nm). Alternatively a lower and upper bound for the distance (in nm) can be provided by using negative numbers.
Length of the sequence (keyword # SEQUENCE
) and range of residues to be modelled (keyword # DOMAIN
) must agree.
# APROP
: The following lines up to the next keyword have two arguments each, the address of a residue with non-zero α-helix propensity and the propensity (a number between 0 and 1). Note that a definition by the keyword # HELIX
will override propensities of all residues within the helix (sets them to unity). Likewise, only one type of propensity (either α-helical or β-strand or PPII) should be specified for a given residue, otherwise program behaviour is undefined. The program does not check whether the user has specified contradictory secondary structure definitions.
# BPROP
: The following lines up to the next keyword have two arguments each, the address of a residue with non-zero β-strand propensity and the propensity (a number between 0 and 1). Note that a definition by the keyword # STRAND
will override propensities of all residues within the strand (sets them to unity). Likewise, only one type of propensity (either α-helical or β-strand or PPII) should be specified for a given residue, otherwise program behaviour is undefined. The program does not check whether the user has specified contradictory secondary structure definitions.
# PPROP
: The following lines up to the next keyword have two arguments each, the address of a residue with non-zero PPII-helix propensity and the propensity (a number between 0 and 1). Only one type of propensity (either α-helical or β-strand or PPII) should be specified for a given residue, otherwise program behaviour is undefined. The program does not check whether the user has specified contradictory secondary structure definitions.
Sometimes restraints cannot be derived unambiguously from experimental distance distributions. Yet these distributions contain information that can be used for validating models.
If the distribution contains multiple peaks, for instance from oligomerization, a first modeling run may even reveal which one has to be assigned to the intra-protomer distance.
This peak could then be converted to a restraint and the restraint be used in a second run. To facilitate such an approach, distances and depths can be monitored, i.e. their distribution over the whole ensemble can be displayed after modeling.
For this, the potential restraint (DEER, oligomer, or depth) has to be specified in the restraint file, but with a mean distance and standard deviation of zero (see example below).
Active form of pro-apoptotic protein Bax in liposomes, see: S. Bleicken, G. Jeschke, C. Stegmüller, R. Salvador-Gallego, A.J. García-Sáez, E. Bordignon, (2014) Structural Model of Active Bax at the Membrane Mol. Cell 56, 496-505 (2014)
N-terminal domain of major plant light harvesting complex LHCII, see: N. Fehr, C. Dietz, Y. Polyhach, T. von Hagens, G. Jeschke, H. Paulsen, submitted
Note that in the second example, depth restraints are defined as lower and upper bounds for the Cα z coordinate.
These restraints are based on a correlation between the deuterium ESEEM water accessibility parameter Π(D2O) and this coordinate established on spin-labeled residues in the resolved part of the LHCII structure.
Apart from specifying restraints, the user has some further control on how the ensemble is computed. This concerns the following options:
Ramachandran statistics
By default, the program uses digitized versions of the residue-specific Ramachandran plots from Hovmöller et al., 2002 corresponding to only protein sections without secondary structure.
The user can select the statistics from the same paper that includes sections with secondary structure, but note that spontaneous formation of helices and strands in a Monte Carlo simulation is very unlikely.
If secondary structure is suspected, the user needs to provide restraints for it, which can come, e.g., from spin-labeling EPR site scans or from NMR residual dipolar couplings or chemical shifts.
Ensemble probability
Restraints can be defined as lower and upper bounds. In this case the restraint is fulfilled in all accepted structures and contributes a probability density of 1.
In most cases it is better to define the restraints by a Gaussian distribution with mean value 〈r〉 and standard deviation σr.
In this case the restraint contributes a probability density pi = exp{-[(r-〈r〉)/σr]2}, where r is the distance between the predicted mean distance between spin label positions for the current conformation.
The pi for all Gaussian restraints are multiplied, P = Πi pi. A simulated conformation is rejected as soon as P falls below a threshold value Pthr.
This threshold value roughly ensures that the accepted models span the region in space where 50% of all conformations are located that are consistent with the restraints.
The 50% level is the same that is used for visualizing thermal ellipsoids in crystal structures. It corresponds to a value of 0.5 for the ensemble probability.
Lower values than 0.5 produce a narrower ensemble, larger values a broader ensemble. If all restraints are consistent, a probability of 0.5 is a good choice.
In the restraints are uncertain or ambiguous or distance distributions have been misinterpreted, a choice of 0.5 may not produce any accepted conformations or only very few of them.
In order to track down the problematic restraints, it may be useful to produce a large number of conformations that have a lower robability for fulfilling all restraints. Usually, 0.75 is a good choice. Note that a choice of 1.00 would produce an ensemble that is "blind" to all Gaussian restraints, whereas a choice of 0 makes it practically impossible that any computed conformation will be accepted.
Hence, the control parameter is limited to the range between 0.05 and 0.95.
Sidegroup clash threshold
After a backbone model has been decorated with sidegroups by SCWRL4, it is tested for clashes between heavy atoms within the simulated doamin as well as between the simulated domain and the template structure.
In most cases the deafult sidegroup clash threshold of 2.00 Å is fine for this test. However, if the domain is tightly packed against the protein it is unlikely that a Monte Carlo algorithm will find the properly packed structure.
This is also because the algorithm does not recompute sidegroup packing by SCWRL4 after attachment of the domain to the template, but for the isolated domain before attachment.
As the algorithm is not intended for finding well-defined structures, but rather conformation ensembles for disordered domains, this should not pose a big problem.
However, if a set of restraints that are considered to be reliable does not produce any models because of sidegroup clashes, it may be advisable to lower the threshold to 1.3 Å or even 1.0 Å, corresponding to the forgive factors that we typically use for the similar problem of attaching rotamers from a coarse library to a protein structure.
A future version may provide the option to repack side groups on the complete model after domain attachment if clashes are observed.
Ensemble size
The ensemble size specified by the restraint file can be changed after the restraint file had been loaded. Please note that in the default
If the domain is disordered indeed and the set of restraints is consistent, ensemble generation is reasonably fast. If the structure is rather well-defined (many narrow restraints) or restraints are inconsistent, it may take very long to generate the requested number of models.
Computation time can be limited in the
Alternatively, the maximum number of Monte Carlo trials can be used to limit total computational effort. The default value of 50'000'000 has been sufficient in all cases that we tried and corresponds to very long computation times with a single processor core even for short domains.
Post processing
When the program generates acceptable backbone coordinates, they are saved as a PDB file, the backbone is decorated with side groups by SCWRL4, which generates another PDB file, the model including side groups is tested for internal clashes and clashes with the template, and if it survives this test, it is attached to the template, displayed as coil graphics (crimson) and the C-terminal Cα atoms is displayed as a space-filling model (blue). For N-terminal loops, the N-terminal Cα atom is displayed instead and for free standing loops, the N-terminal Cα atom is displayed as a dark green sphere and the C-terminal Cα atom as a blue sphere.
Displayed models have their weight in the ensemble encoded by transparency. The PDB files of the individual conformations are saved in the current Matlab directory. These default settings provide the user with the full information, prevent that files are later deleted during garbage collection in the MMM temporary directory (after 30 days), and generate a structure that can be saved as a PDB file for the whole ensemble from the
If the individual conformations are automatically attached to the template and the structure is later saved from the main window, the individual PDB files are not anymore required. When the
Automatic display of coil models and automatic display of the C-terminal Cα atom can be suppressed by deactivating the corresponding checkboxes.
Attachment of the individual conformations to the template can also be deactivated. This has the advantage that the template structure remains unchanged, thus allowing for further runs without reloading the template. For the combination of very large ensembles with very large template structures, memory problems that may arise from copying the template for each individual model can be avoided.
Note, however, that without attachment distance and depth distributions are not computed for the whole ensemble, except for free standing loops.
For free standing loops, attachment is not possible. If the
During the run, some diagnostic information is updated after each block of 10'000 Monte Carlo trials. Thus, the user always has an overview what fraction of the maximum time and number of Monte Carlo trials have been spent, how many loop models (valid conformations) have been found, and how many valid backbone models have been found.
Furthermore, it is reported what percentage of Monte Carlo trials was unsuccessful due to restraint violations. If the ensemble is well restrained, this number should be close to 100%. In fact, in some cases the probability that a trial fulfills all restraints is less than 10-4 (less than one per block), which leads to the display of 100% restraint violations.
The generation of a backbone model may also fail due to internal clashes of backbone atoms in the domain or clashes of backbone atoms with the template. The percentage of Monte Carlo trials where this happened are also displayed.
Among the valid backbone models, some will clash internally and some will clash with the template after side group attachment. The percentages given for these rejections are relative to the number of valid backbone models found, not to the number of Monte Carlo trials.
For closed loops, the algorithm may sometimes fail to bring the last backbone atom into the convergence radius of the C-terminal anchor residue or it may be impossible to find a set of allowed Ramachandran values for the last residue that preserves restraint fulfillment and is consistent with allowed Ramachandran values of previous residues in the domain. The latter problem arises especially in cases where the last or second-to-last residue of a closed loop is a proline.
The precentage of such cases is reported relative to the total number of Monte Carlo trials.
Finally, a plot reports how the rejection probability of models was distributed over the residues. A high value for a particular residue indicates that the restraints specified for this residue were particularly hard to fulfill.
In cases where the restraints are nearly uniformly distributed along the chain, as in the LHCII example above, a very high probability for a single residue may indicate that this residue is overrestrained, possibly because standard deviations or bounds are too narrow, or is inconsistently restrained, because one or more restraints are simply wrong.
There may also be cases where almost all rejections occur at a single residue for good reasons. The Bax example above is such a case. Only residues 126 and 149 are restrained and as the domain is C-terminal, residue 126 is encountered first. Because this residue is well restrained (without being overrestrained), most Monte Carlo trials fail already there.
The rejection probability at residue 149 is lower simply because only for a small fraction of all Monte Carlo trials residue 149 is ever reached.
For closed loops, the center residue tends to have an enhanced rejection probability. This is a feature of the algorithm, which tests the backbone for internal clashes and clashes with the template before the second half of the domain is generated. This enhances computational efficiency, since generation of the second half of the loop is computationally much more expensive for closed lops that have to "home in" on the C-terminal anchor residue.
It is good practice to check how well the individual restraints are fulfilled by the ensemble. If there were no implicit restraints from bond lengths, bond angles, allowed Ramachandran angles, or the neccessity of closing the loop and if the simplified prediction of the spin label coordinate from the backbone coordinates of the residue would be perfect, distance distributions computed from the ensemble should match the Gaussian distributions provided as restraints.
Usually, this is observed only for part of the restraints.
One reason is that during backbone generation, side group coordinates are not available, which makes prediction of the spin label coordinate less certain. After the whole domain has been modeled and the side groups have been attached, the distance distribution is recomputed with the rotamer library approach. The distance distribution for the ensemble is the probability-weighted sum of such distance distributions for the individual conformations.
If the neighboring side groups impose a systematic shift on the spin label position of a restrained residue, the restraints for this residue may not exactly be matched.
While this is a deficiency of the algorithm, in practice the more likely cause for deviations are uncertainties in the experimental distance distribution or in deriving a Gaussian restraint from this distribution. Hence, the simulated distributions for the ensemble are best compared to the raw distance distributions as they can be obtained, for instance, with
The
The
Note that the template structure has been "spent" after a run, unless you had deactivated the
By clicking the
% Restraints for Bax active form residues 123-149
# PDB BAXC
# DOMAIN 123 149
# NANCHOR [BAXC](A)122
# SEQUENCE KALSTKVPELIRTIMGWTLDFLRERLL
# ENSEMBLE 20 0.5
# HELICES
130-146
# DEER MTSL 298
(A)126 (A)55 3.83 0.38 % Bleicken et al. Mol. Cell 56, 496-505 (2014)
(A)126 (A)62 3.13 0.39 % Bleicken et al. Mol. Cell 56, 496-505 (2014)
(A)126 (A)72 2.28 0.40 % Bleicken et al. Mol. Cell 56, 496-505 (2014)
(A)126 (A)87 2.67 0.31 % Bleicken et al. Mol. Cell 56, 496-505 (2014)
(A)126 (A)101 3.71 0.62 % Bleicken et al. Mol. Cell 56, 496-505 (2014)
(A)126 (A)149 3.86 0.39 % Bleicken et al. Mol. Cell 56, 496-505 (2014)
(A)149 (A)55 4.60 0.86 % Bleicken et al. Mol. Cell 56, 496-505 (2014)
(A)149 (A)62 5.43 0.48 % Bleicken et al. Mol. Cell 56, 496-505 (2014)
(A)149 (A)72 5.25 0.58 % Bleicken et al. Mol. Cell 56, 496-505 (2014)
(A)149 (A)87 4.33 0.37 % Bleicken et al. Mol. Cell 56, 496-505 (2014)
(A)149 (A)101 4.42 1.01 % Bleicken et al. Mol. Cell 56, 496-505 (2014)
# OLIGOMER 2 MTSL 298
% only monitoring
126 0 0 % distribution exists, hard to assign
149 0 0 % distribution exists, slightly ambiguous
# END
% Restraints for N-terminal domain residues 3-13 of LHCII, Fehr et al.
# PDB 2BHW:A
# DOMAIN 3 13
# CANCHOR [2BHW](A)14
# SEQUENCE SATTKKVASSG
# ENSEMBLE 20 0.5
# DEER IA-PROXYL 298
3 34 2.66 1.60 % N. Fehr, heterogeneous trimer
3 59 1.50 1.66 % N. Fehr, heterogeneous trimer
7 34 2.67 1.62 % N. Fehr, heterogeneous trimer
7 59 1.92 1.69 % N. Fehr, heterogeneous trimer
11 34 2.45 1.56 % N. Fehr, heterogeneous trimer
11 59 1.50 1.73 % N. Fehr, heterogeneous trimer
# OLIGOMER 3 IA-PROXYL 298
3 3.65 1.28 % A. Müller, C. Dockter, singly labeled trimer
4 3.72 1.21 % A. Müller, C. Dockter, singly labeled trimer
7 4.00 1.18 % A. Müller, C. Dockter, singly labeled trimer
9 4.31 1.34 % A. Müller, C. Dockter, singly labeled trimer
10 4.64 1.46 % A. Müller, C. Dockter, singly labeled trimer
11 4.57 1.17 % A. Müller, C. Dockter, singly labeled trimer
12 4.96 1.36 % A. Müller, C. Dockter, singly labeled trimer
# DEPTH CA
3 -1.87 -3.5 % A. Volkov, C. Dockter, deuterium ESEEM
4 -1.75 -3.5 % A. Volkov, C. Dockter, deuterium ESEEM
7 -1.79 -3.5 % A. Volkov, C. Dockter, deuterium ESEEM
9 -1.75 -3.5 % A. Volkov, C. Dockter, deuterium ESEEM
10 -1.89 -3.5 % A. Volkov, C. Dockter, deuterium ESEEM
11 -1.73 -3.5 % A. Volkov, C. Dockter, deuterium ESEEM
12 -2.06 -3.5 % A. Volkov, C. Dockter, deuterium ESEEM
# END
attach models
mode, for each conformation the template structure is copied.
During testing, we have not encountered memory problems for ensembles of up to 500 models. However, the limit depends on the size of the template structure. Usually it is not necessary to generate more than 100 or 200 conformations.
Ensemble size
panel. Please note that the default value of 2 hours may have to be increased if more than 20 models are requested or if a closed loop is computed, in particular, if the last or second-to last residue is a proline.
File
menu in the MMM main window.
The log file is generally saved in the directory from where the restraint file was coming and its name is generated from the name of the restraint file and the date and time when the run was started.
save to current directory
checkbox is deactivated, they are saved in the MMM temporary directory and disposed of automatically after 30 days.
Note also that the individual PDB files are overwritten if another run for the same domain and the same template is started.
attach models
checkbox is activated in such a computation, the conformations are collected in a single structure that can later be saved from the main window as a PDF file of the ensmble model.
DeerAnalysis
.
For that purpose, DeerAnalysis result files can be imported by using the Load
button above the plot.
Restraints
button allows for loading a restraint file. Please watch the Message Board
of the MMM main window, as any problems will be reported there.
After loading is completed you can use the Show log
button in the main window to inspect all previous output to the Message Board
.
If the restraint file has correct syntax, provides all mandatory information, and is formally consistent, the Run
button is activated.
The Restraints
button is then deactivated. If you want to simulate with other restraints, you need to close and reopen the window.
Run
button becomes active only after loading restraints. When it is clicked the computation starts. After each block of 10'000 Monte Carlo trials the Runtime information
(see above) is updated.Rejection distribution along the loop
plot changes to a Restraint fulfillment
plot.
attach models
checkbox, which is discouraged.
If you wish to create another ensemble from the same template, you need to close the window, reload the template structure in the main window, and start over.
Close
button the window is closed. All information is lost, except for saved single conformations, the structure with the attached domains, and the log file of ensemble generation.


|
orx
1.x dev
Portable Game Engine
|
Typedefs | |
| typedef struct __orxGRAPHIC_t | orxGRAPHIC |
Graphic Module. Allows to creates and handle 2D/3D Graphics. They are used as texture/animation container, with associated properties. 2D Graphics are used by objects. They thus can be referenced by objects as structures.
| #define orxGRAPHIC_KU32_FLAG_2D 0x00000001 |
2D type graphic flag
Definition at line 61 of file orxGraphic.h.
| #define orxGRAPHIC_KU32_FLAG_ALIGN_BOTTOM 0x00000080 |
Bottom vertical alignment
Definition at line 74 of file orxGraphic.h.
| #define orxGRAPHIC_KU32_FLAG_ALIGN_CENTER 0x00000000 |
Center vertical / horizontal alignment
Definition at line 70 of file orxGraphic.h.
| #define orxGRAPHIC_KU32_FLAG_ALIGN_LEFT 0x00000010 |
Left horizontal alignment
Definition at line 71 of file orxGraphic.h.
| #define orxGRAPHIC_KU32_FLAG_ALIGN_RIGHT 0x00000020 |
Right horizontal alignment
Definition at line 72 of file orxGraphic.h.
| #define orxGRAPHIC_KU32_FLAG_ALIGN_ROUND 0x00000200 |
Round alignment value
Definition at line 76 of file orxGraphic.h.
| #define orxGRAPHIC_KU32_FLAG_ALIGN_TOP 0x00000040 |
Top vertical alignment
Definition at line 73 of file orxGraphic.h.
| #define orxGRAPHIC_KU32_FLAG_ALIGN_TRUNCATE 0x00000100 |
Truncate alignment value
Definition at line 75 of file orxGraphic.h.
| #define orxGRAPHIC_KU32_FLAG_FLIP_X 0x00000004 |
X axis flipping flag
Definition at line 66 of file orxGraphic.h.
| #define orxGRAPHIC_KU32_FLAG_FLIP_Y 0x00000008 |
Y axis flipping flag
Definition at line 67 of file orxGraphic.h.
| #define orxGRAPHIC_KU32_FLAG_NONE 0x00000000 |
Graphic flagsNo flags
Definition at line 59 of file orxGraphic.h.
| #define orxGRAPHIC_KU32_FLAG_TEXT 0x00000002 |
Text type graphic flag
Definition at line 62 of file orxGraphic.h.
| #define orxGRAPHIC_KU32_MASK_ALIGN 0x000003F0 |
Alignment mask
Definition at line 78 of file orxGraphic.h.
| #define orxGRAPHIC_KU32_MASK_FLIP_BOTH 0x0000000C |
Both axis flipping mask
Definition at line 68 of file orxGraphic.h.
| #define orxGRAPHIC_KU32_MASK_TYPE 0x00000003 |
Type mask
Definition at line 64 of file orxGraphic.h.
| #define orxGRAPHIC_KU32_MASK_USER_ALL 0x00000FFF |
User all ID mask
Definition at line 80 of file orxGraphic.h.
| #define orxGRAPHIC_KZ_CONFIG_ALPHA "Alpha" |
Definition at line 91 of file orxGraphic.h.
| #define orxGRAPHIC_KZ_CONFIG_BLEND_MODE "BlendMode" |
Definition at line 98 of file orxGraphic.h.
| #define orxGRAPHIC_KZ_CONFIG_COLOR "Color" |
Definition at line 90 of file orxGraphic.h.
| #define orxGRAPHIC_KZ_CONFIG_FLIP "Flip" |
Definition at line 95 of file orxGraphic.h.
| #define orxGRAPHIC_KZ_CONFIG_HSL "HSL" |
Definition at line 93 of file orxGraphic.h.
| #define orxGRAPHIC_KZ_CONFIG_HSV "HSV" |
Definition at line 94 of file orxGraphic.h.
| #define orxGRAPHIC_KZ_CONFIG_KEEP_IN_CACHE "KeepInCache" |
Definition at line 99 of file orxGraphic.h.
| #define orxGRAPHIC_KZ_CONFIG_PIVOT "Pivot" |
Definition at line 89 of file orxGraphic.h.
| #define orxGRAPHIC_KZ_CONFIG_REPEAT "Repeat" |
Definition at line 96 of file orxGraphic.h.
| #define orxGRAPHIC_KZ_CONFIG_RGB "RGB" |
Definition at line 92 of file orxGraphic.h.
| #define orxGRAPHIC_KZ_CONFIG_SMOOTHING "Smoothing" |
Definition at line 97 of file orxGraphic.h.
| #define orxGRAPHIC_KZ_CONFIG_TEXT_NAME "Text" |
Definition at line 88 of file orxGraphic.h.
| #define orxGRAPHIC_KZ_CONFIG_TEXTURE_NAME "Texture" |
Misc defines
Definition at line 85 of file orxGraphic.h.
| #define orxGRAPHIC_KZ_CONFIG_TEXTURE_ORIGIN "TextureOrigin" |
Definition at line 86 of file orxGraphic.h.
| #define orxGRAPHIC_KZ_CONFIG_TEXTURE_SIZE "TextureSize" |
Definition at line 87 of file orxGraphic.h.
| typedef struct __orxGRAPHIC_t orxGRAPHIC |
Internal Graphic structure
Definition at line 104 of file orxGraphic.h.
| orxDLLAPI orxVECTOR* orxFASTCALL orxGraphic_AlignVector | ( | orxU32 | _u32AlignFlags, |
| const orxAABOX * | _pstBox, | ||
| orxVECTOR * | _pvValue | ||
| ) |
Aligns a vector inside a box using flags
| [in] | _u32AlignFlags | Align flags |
| [in] | _pstBox | Concerned box |
| [out] | _pvValue | Storage for the resulting aligned vector |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_ClearBlendMode | ( | orxGRAPHIC * | _pstGraphic | ) |
Clears graphic blend mode
| [in] | _pstGraphic | Concerned graphic |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_ClearColor | ( | orxGRAPHIC * | _pstGraphic | ) |
Clears graphic color
| [in] | _pstGraphic | Concerned graphic |
| orxDLLAPI orxGRAPHIC* orxFASTCALL orxGraphic_Clone | ( | const orxGRAPHIC * | _pstGraphic | ) |
Clones a graphic
| [in] | _pstGraphic | Graphic model to clone @ return orxGRAPHIC / orxNULL |
| orxDLLAPI orxGRAPHIC* orxFASTCALL orxGraphic_Create | ( | ) |
Creates an empty graphic
| orxDLLAPI orxGRAPHIC* orxFASTCALL orxGraphic_CreateFromConfig | ( | const orxSTRING | _zConfigID | ) |
Creates a graphic from config
| [in] | _zConfigID | Config ID @ return orxGRAPHIC / orxNULL |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_Delete | ( | orxGRAPHIC * | _pstGraphic | ) |
Deletes a graphic
| [in] | _pstGraphic | Graphic to delete |
| orxDLLAPI orxU32 orxFASTCALL orxGraphic_GetAlignFlags | ( | const orxSTRING | _zAlign | ) |
Gets alignment flags from literals
| [in] | _zAlign | Align literals @ return Align flags |
| orxDLLAPI orxDISPLAY_BLEND_MODE orxFASTCALL orxGraphic_GetBlendMode | ( | const orxGRAPHIC * | _pstGraphic | ) |
Gets graphic blend mode
| [in] | _pstGraphic | Concerned graphic |
| orxDLLAPI orxCOLOR* orxFASTCALL orxGraphic_GetColor | ( | const orxGRAPHIC * | _pstGraphic, |
| orxCOLOR * | _pstColor | ||
| ) |
Gets graphic color
| [in] | _pstGraphic | Concerned graphic |
| [out] | _pstColor | Object's color |
| orxDLLAPI orxSTRUCTURE* orxFASTCALL orxGraphic_GetData | ( | const orxGRAPHIC * | _pstGraphic | ) |
Gets graphic data
| [in] | _pstGraphic | Concerned graphic |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_GetFlip | ( | const orxGRAPHIC * | _pstGraphic, |
| orxBOOL * | _pbFlipX, | ||
| orxBOOL * | _pbFlipY | ||
| ) |
Gets graphic flipping
| [in] | _pstGraphic | Concerned graphic |
| [in] | _pbFlipX | X axis flipping |
| [in] | _pbFlipY | Y axis flipping |
| orxDLLAPI const orxSTRING orxFASTCALL orxGraphic_GetName | ( | const orxGRAPHIC * | _pstGraphic | ) |
Gets graphic config name
| [in] | _pstGraphic | Concerned graphic |
| orxDLLAPI orxVECTOR* orxFASTCALL orxGraphic_GetOrigin | ( | const orxGRAPHIC * | _pstGraphic, |
| orxVECTOR * | _pvOrigin | ||
| ) |
Gets graphic origin
| [in] | _pstGraphic | Concerned graphic |
| [out] | _pvOrigin | Origin coordinates |
| orxDLLAPI orxVECTOR* orxFASTCALL orxGraphic_GetPivot | ( | const orxGRAPHIC * | _pstGraphic, |
| orxVECTOR * | _pvPivot | ||
| ) |
Gets graphic pivot
| [in] | _pstGraphic | Concerned graphic |
| [out] | _pvPivot | Graphic pivot |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_GetRepeat | ( | const orxGRAPHIC * | _pstGraphic, |
| orxFLOAT * | _pfRepeatX, | ||
| orxFLOAT * | _pfRepeatY | ||
| ) |
Gets graphic repeat (wrap) values
| [in] | _pstGraphic | Concerned graphic |
| [out] | _pfRepeatX | X-axis repeat value |
| [out] | _pfRepeatY | Y-axis repeat value |
| orxDLLAPI orxVECTOR* orxFASTCALL orxGraphic_GetSize | ( | const orxGRAPHIC * | _pstGraphic, |
| orxVECTOR * | _pvSize | ||
| ) |
Gets graphic size
| [in] | _pstGraphic | Concerned graphic |
| [out] | _pvSize | Object's size |
| orxDLLAPI orxDISPLAY_SMOOTHING orxFASTCALL orxGraphic_GetSmoothing | ( | const orxGRAPHIC * | _pstGraphic | ) |
Gets graphic smoothing
| [in] | _pstGraphic | Concerned graphic |
| orxDLLAPI orxBOOL orxFASTCALL orxGraphic_HasBlendMode | ( | const orxGRAPHIC * | _pstGraphic | ) |
Graphic has blend mode accessor
| [in] | _pstGraphic | Concerned graphic |
| orxDLLAPI orxBOOL orxFASTCALL orxGraphic_HasColor | ( | const orxGRAPHIC * | _pstGraphic | ) |
Graphic has color accessor
| [in] | _pstGraphic | Concerned graphic |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_SetBlendMode | ( | orxGRAPHIC * | _pstGraphic, |
| orxDISPLAY_BLEND_MODE | _eBlendMode | ||
| ) |
Sets object blend mode
| [in] | _pstGraphic | Concerned graphic |
| [in] | _eBlendMode | Blend mode (alpha, multiply, add or none) |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_SetColor | ( | orxGRAPHIC * | _pstGraphic, |
| const orxCOLOR * | _pstColor | ||
| ) |
Sets graphic color
| [in] | _pstGraphic | Concerned graphic |
| [in] | _pstColor | Color to set |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_SetData | ( | orxGRAPHIC * | _pstGraphic, |
| orxSTRUCTURE * | _pstData | ||
| ) |
Sets graphic data
| [in] | _pstGraphic | Concerned graphic |
| [in] | _pstData | Data structure to set / orxNULL |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_SetFlip | ( | orxGRAPHIC * | _pstGraphic, |
| orxBOOL | _bFlipX, | ||
| orxBOOL | _bFlipY | ||
| ) |
Sets graphic flipping
| [in] | _pstGraphic | Concerned graphic |
| [in] | _bFlipX | Flip it on X axis |
| [in] | _bFlipY | Flip it on Y axis |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_SetOrigin | ( | orxGRAPHIC * | _pstGraphic, |
| const orxVECTOR * | _pvOrigin | ||
| ) |
Sets graphic origin
| [in] | _pstGraphic | Concerned graphic |
| [in] | _pvOrigin | Origin coordinates |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_SetPivot | ( | orxGRAPHIC * | _pstGraphic, |
| const orxVECTOR * | _pvPivot | ||
| ) |
Sets graphic pivot
| [in] | _pstGraphic | Concerned graphic |
| [in] | _pvPivot | Pivot to set |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_SetRelativePivot | ( | orxGRAPHIC * | _pstGraphic, |
| orxU32 | _u32AlignFlags | ||
| ) |
Sets graphic relative pivot
| [in] | _pstGraphic | Concerned graphic |
| [in] | _u32AlignFlags | Alignment flags |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_SetRepeat | ( | orxGRAPHIC * | _pstGraphic, |
| orxFLOAT | _fRepeatX, | ||
| orxFLOAT | _fRepeatY | ||
| ) |
Sets graphic repeat (wrap) value
| [in] | _pstGraphic | Concerned graphic |
| [in] | _fRepeatX | X-axis repeat value |
| [in] | _fRepeatY | Y-axis repeat value |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_SetSize | ( | orxGRAPHIC * | _pstGraphic, |
| const orxVECTOR * | _pvSize | ||
| ) |
Sets graphic size
| [in] | _pstGraphic | Concerned graphic |
| [in] | _pvSize | Size to set |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_SetSmoothing | ( | orxGRAPHIC * | _pstGraphic, |
| orxDISPLAY_SMOOTHING | _eSmoothing | ||
| ) |
Sets graphic smoothing
| [in] | _pstGraphic | Concerned graphic |
| [in] | _eSmoothing | Smoothing type (enabled, default or none) |
| orxDLLAPI orxSTATUS orxFASTCALL orxGraphic_UpdateSize | ( | orxGRAPHIC * | _pstGraphic | ) |
Updates graphic size (recompute)
| [in] | _pstGraphic | Concerned graphic |


vignettes/a4Development_Plans.Rmd
a4Development_Plans.Rmd
Amanda Vinson wrote this in an e-mail on 20170901:
I’m very interested in hearing about your idea of adding algorithms related to selecting/maintaining specific alleles in a colony. I think your idea could be related to what I need to work on next, which is an algorithm for assessing the long-term impact on colony genetic diversity of removing specific animals/alleles.
This is a need we have here at the ONPRC due to assigning animals to
research, and I have been tasked with implementing the solution.
Remove individuals that can never breed again from genetic analyses. (From page 29 of PMx User Manual, version 1.0). It is generally recommended to remove living individuals that can never breed or will never be bred again (e.g., post reproductive, sterilized, poor health, hybrid) from the genetic mean kinship calculations, as these individuals can no longer pass on their genetic material to the next generation and their inclusion influences the mean kinship values of other individuals in the population. However, these non-reproductive individuals may occupy cage space and need to be managed in other ways. In addition, their demographic information is valuable. Managers therefore often chose to include these individuals in the demographic analysis but to exclude them from genetic analysis.
It would be nice to have multiple “selected populations” that could be set up and easily selected for various analyses and plots.
Talk to Amanda about developing a general way to handle animals without two known parents that are not founders. There are the following lines of code in orderReport.R
# ONPRC-born animals with no parentage
i <- (is.na(rpt\$origin) & (rpt\$totalOffspring == 0) &
(rpt\$id %in% founders))
noParentage <- rpt[i, ]
Find some ways to use genetic marker data in the evaluation of genetic value. This needs to be discussed.
Add breeding productivity measure calculations. For example, (a) number of offspring per year of exposure to male or female. (b) Number of months since last birth. (c) Number of months between births with range and standard deviation.
Consider developing a simulation module to allow users to simulate breeding decisions.


Clint McKenna
January 27th, 2021
Motivated reasoning refers to the biased access, construction, and evaluation of beliefs in order to arrive at a prefered conclusion2
Peters et al. (2006)1
Kunda (1990)2
“...the antagonism between identity-protective cognition and perceptual accuracy is not a consequence of too little rationality but too much” 2
Kahan et al. (2017)1
Kahan (2017)2
Kahan et al. (2017)
Kahan et al. (2017)1
Redlawsk (2002)2
Taber & Lodge (2006)3
Pew Research Center (2017)1


R/calc_SedimentationRate.R
calc_SedimentationRate.Rd
This function fits a "Constant Flux Constant Sedimentation Rate" (CF:CS) model to 210Pb activity data from different soil depths to estimate the sedimentation rate of the profile.
calc_SedimentationRate(x, reverse = TRUE, fix_a0 = FALSE, verbose = TRUE, ...)
| x |
| depth (cm )| activity (Bq/kg) | | [ ,1] | [ ,2] | |------------|------------------| [1, ]| ~~~~ | ~~~~ | [2, ]| ~~~~ | ~~~~ | ... | ... | ... | [x, ]| ~~~~ | ~~~~ | |
|---|---|
| reverse |
|
| fix_a0 |
|
| verbose |
|
| ... | Futher arguments passed to |
A list
with the following structure:
| Element | Data type | |
| Description | $summary | |
data.frame | ||
| summary table of important model results | ||
$data | ||
data.frame | original input data | |
$model | ||
nls | ||
| model output generated by | minpack.lm::nlsLM |
Model
$$ y = a0 * exp((l/s) * x) $$
y
= 210Pb activity at depth x
(cm)
a0
= 210Pb activity at depth x=0
l
= 210Pb decay constant (= 0.03114 a-1)
s
= sedimentation rate (cm/a)
x
= depth below surface (cm)
Szmytkiewicz, A., Zalewska, T., 2014. Sediment deposition and accumulation rates determined by sediment trap and 210Pb isotope methods in the Outer Puck Bay (Baltic Sea). Oceanologia 56(1), 85-106.
# Load example data (synthetic) data(Pb) # Apply the model results <- calc_SedimentationRate(x = Pb, reverse = TRUE, fix_a0 = FALSE, verbose = TRUE)#>#>#>#>


| Package | Description |
|---|---|
| controller | |
| event | |
| junit | |
| metier | |
| swing |
| Modifier and Type | Field and Description |
|---|---|
(package private) HomeModel |
HomeFrameController.home |
(package private) HomeModel |
PlanController.home |
private HomeModel |
FurnitureController.home |
private HomeModel |
HomeController.home |
| Constructor and Description |
|---|
AbstractHomeController(HomeModel home,
UserPreferences preferences) |
FurnitureController(HomeModel home,
UserPreferences preferences,
javax.swing.undo.UndoableEditSupport undoSupport) |
HomeController(HomeModel home,
UserPreferences preferences) |
HomeFrameController(HomeModel home,
HomeApplication application) |
PlanController(HomeModel home,
UserPreferences preferences,
javax.swing.undo.UndoableEditSupport undoSupport) |
| Modifier and Type | Field and Description |
|---|---|
(package private) HomeModel |
HomeEvent.home |
| Modifier and Type | Method and Description |
|---|---|
HomeModel |
HomeEvent.getHome() |
| Constructor and Description |
|---|
HomeEvent(java.lang.Object source,
HomeModel home,
HomeEvent.Type eventType) |
| Modifier and Type | Field and Description |
|---|---|
private HomeModel |
PlanComponentTest.PlanTestFrame.home |
(package private) HomeModel |
HomeControllerTest.home |
| Modifier and Type | Method and Description |
|---|---|
private void |
PlanComponentTest.assertHomeContains(HomeModel home,
Wall... walls) |
private void |
PlanComponentTest.assertSelectionContains(HomeModel home,
Wall... walls) |
| Constructor and Description |
|---|
ControllerTest(HomeModel home,
UserPreferences preferences) |
| Modifier and Type | Class and Description |
|---|---|
class |
Home |
| Modifier and Type | Method and Description |
|---|---|
HomeModel |
HomeFileRecorder.readHome(java.lang.String name) |
HomeModel |
HomeRecorder.readHome(java.lang.String name) |
| Modifier and Type | Method and Description |
|---|---|
void |
HomeFileRecorder.HomeOutputStream.writeHome(HomeModel home) |
void |
HomeFileRecorder.writeHome(HomeModel home,
java.lang.String name) |
void |
HomeRecorder.writeHome(HomeModel home,
java.lang.String name) |
| Modifier and Type | Field and Description |
|---|---|
(package private) HomeModel |
FurnitureTable.FurnitureTableModel.home |
private HomeModel |
HomeFramePane.home |
(package private) HomeModel |
PlanComponent.home |
(package private) HomeModel |
HomeComponent3D.Wall3D.home |
| Modifier and Type | Field and Description |
|---|---|
private java.util.List<HomeModel> |
HomeApplication.homes |
| Modifier and Type | Method and Description |
|---|---|
java.util.List<HomeModel> |
HomeApplication.getHomes() |
| Modifier and Type | Method and Description |
|---|---|
void |
HomeApplication.addHome(HomeModel home) |
private void |
FurnitureTable.FurnitureTableModel.addHomeListener(HomeModel home) |
private void |
HomeComponent3D.addHomeListeners(HomeModel home,
javax.media.j3d.Group homeRoot) |
private void |
HomeFramePane.addListeners(HomeModel home,
HomeApplication application,
HomeFrameController controller,
javax.swing.JFrame frame) |
private void |
PlanComponent.addModelListeners(HomeModel home) |
private void |
FurnitureTable.addSelectionListeners(HomeModel home,
FurnitureController controller) |
private void |
HomeComponent3D.addWall(javax.media.j3d.Group homeRoot,
Wall wall,
HomeModel home) |
void |
HomeApplication.deleteHome(HomeModel home) |
private void |
HomeApplication.fireHomeEvent(HomeModel home,
HomeEvent.Type eventType) |
private javax.media.j3d.Node |
HomeComponent3D.getHomeTree(HomeModel home) |
private javax.swing.JComponent |
HomePane.getPlanView3DPane(HomeModel home,
HomeController controller) |
private javax.media.j3d.BranchGroup |
HomeComponent3D.getSceneTree(HomeModel home) |
private void |
HomeFramePane.updateFrameTitle(javax.swing.JFrame frame,
HomeModel home) |
| Constructor and Description |
|---|
FurnitureTable(HomeModel home,
UserPreferences preferences) |
FurnitureTable(HomeModel home,
UserPreferences preferences,
FurnitureController controller) |
FurnitureTableModel(HomeModel home,
java.lang.String[] columnNames)
constructeur du model du tableau Swing
|
HomeComponent3D(HomeModel home) |
HomeFramePane(HomeModel home,
HomeApplication application,
HomeFrameController controller) |
HomePane(HomeModel home,
UserPreferences preferences,
HomeController controller) |
PlanComponent(HomeModel home,
UserPreferences preferences,
PlanController controller) |
Wall3D(Wall wall,
HomeModel home) |


Please click on the product that interests you most. After 15 selections you can view the results.
clear local storage
show table
show chart
reset


How do we do it? We are building a complete set of 'manifests' for
all the lego kits ever made. We have a library of every brick ever made. We
do the work to determine what pieces you have and what you might need for
a new kits. And if we have the plans, you can start building.


Romaine lettuce from Salinas, California, linked to another E. coli outbreak, officials say
by Nicole DarrahFederal health officials are urging people to stop eating romaine lettuce linked to Salinas, Calif., because of an E. coli outbreak — nearly one year after a similar food poisoning upsurge prompted health officials to issue a warning about the leafy greens.
At least 40 people in 16 states have been sickened by the E. coli outbreak, and "romaine lettuce from the Salinas, Calif., growing region is a likely source of this outbreak," the Centers for Disease Control and Prevention said Thursday.
MARYLAND E. COLI CASES POSSIBLY LINKED TO PACKAGED SALAD; FDA INVESTIGATES MULTISTATE OUTBREAK
No common grower or distributor has been identified, but health officials have been working to trace the source of the lettuce since September, when the first case of illness was reported. The most recent reported illness was on Nov. 10, per a press release from the agency.
It's the same E. coli strain tied to previous outbreaks in 2017 and 2018, officials said.
“We’re concerned this romaine could be in other products," Laura Gieraltowski, lead investigator of the outbreak at the CDC, said. She has suggested there’s a persisting contamination source in the environment.
MORE THAN 75,000 POUNDS OF SALAD PRODUCTS RECALLED OVER E. COLI CONCERNS
Health officials are urging Americans not to eat romaine lettuce if the label doesn't say where it was grown — and are urging supermarkets and restaurants not to serve or sell the lettuce, unless they're confident it was grown elsewhere.
The warning applies to all types of romaine from the Salinas region, include whole heads, hearts and pre-cut salad mixes.
CLICK HERE TO GET THE FOX NEWS APP
While most people recover from E. coli after a few days, some cases can be life-threatening. This is especially true for pregnant women, newborns, older or elderly adults and those with weakened immune systems.Health officials recommend thorough hand-washing, washing fruits and vegetables, cooking meat thoroughly and avoiding cross-contamination in food preparation areas as ways to prevent E. coli illness.
The Associated Press contributed to this report.


if the hand is a
sitNgo hand you may fetch nash calculations for it from
HoldcemResources.net. to do so either select a payout structure
or fill in a custom one. this automatically triggers fetching of stats on every new
hand loaded.
if everthing goes well the data for the hand will be displayed in the side bar
as taken from HoldemResources.net icm calculator. you may stop fetching data
at any time by selecting the topmostentry in the combo box.
- the data is fetched from the internets - this may take some time or may fail
at any time. so browsing a hand history file may become considerably slower
- the hand viewer does not know if the hand history displayed is actually a sitNgo
hand. if you fetch data for a non sitNgo hands results are undefined.
- fetching does not work with hands you load from disk
if the hand is a sitNgo hand you may display a table of ICM-taxes for the individual players.
to do so either select a payout structure or fill in a custom one. this automatically
triggers the calculation of the table.
in the table ICM-taxes (that is penalties) are displayed as a quotient hero vs villain.
the first number is tax hero pays versus villain, the second the tax villain pays
vs hero. for example if the table reads: SB-->BB == 64/43, SB pays 64% tax
and BB pays 43% tax. so BB should be more happy to get his chips in than
SB but on the bottom line both players pay a heavy price for doing so.


Multi-view Depth Estimation
using Epipolar Spatio-Temporal Networks
Abstract
We present a novel method for multi-view depth estimation from a single video, which is a critical task in various applications, such as perception, reconstruction and robot navigation. Although previous learning-based methods have demonstrated compelling results, most works estimate depth maps of individual video frames independently, without taking into consideration the strong geometric and temporal coherence among the frames. Moreover, current state-of-the-art (SOTA) models mostly adopt a fully 3D convolution network for cost regularization and therefore require high computational cost, thus limiting their deployment in real-world applications. Our method achieves temporally coherent depth estimation results by using a novel Epipolar Spatio-Temporal (EST) transformer to explicitly associate geometric and temporal correlation with multiple estimated depth maps. Furthermore, to reduce the computational cost, inspired by recent Mixture-of-Experts models, we design a compact hybrid network consisting of a 2D context-aware network and a 3D matching network which learn 2D context information and 3D disparity cues separately. Extensive experiments demonstrate that our method achieves higher accuracy in depth estimation and significant speedup than the SOTA methods.
Qualitative comparision of single frame
Qualitative comparision of three frames
Qualitative comparision of ten frames
Citation
@article{long2021multi, title={Multi-view Depth Estimation using Epipolar Spatio-Temporal Network}, author={Long, Xiaoxiao and Liu, Lingjie and Li, Wei and Theobalt, Christian and Wang, Wenping}, journal={CVPR}, year={2021} }
This page is Zotero translator friendly. Page last updated


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4-5
Dietary
Heat the oil in a deep, heavy-bottomed pan until a breadcrumb sizzles and turns brown when dropped in it. (CAUTION: hot oil can be dangerous. Do not leave unattended.)
Place the mashed potatoes, grated potatoes, onions, garlic and cheese into a bowl and season, to taste, with salt and freshly ground pepper.
Mix together well, then mould the mixture into large, flat, round potato cakes. You should be able to make 8-10 potato cakes.
Dredge each cake in the flour, then dip into the beaten egg. Finally dip each cake into the polenta to coat completely.
Carefully place the potato cakes into the hot oil and deep-fry for 4-6 minutes, or until golden-brown and cooked through. Carefully remove with a slotted spoon and drain on kitchen paper.
For the pea purée, fry the shallots in the oil for 2-3 minutes, or until softened.
Add the wine and bring to the boil. Reduce the heat and simmer until almost all of the liquid has evaporated.
Add the stock and bring to the boil. Remove from the heat and allow to cool for five minutes.
Place the stock mixture into a food processor. Add the peas and mint and pulse together to create a coarse purée.
Transfer the pea purée to a bowl, add the crème fraîche and stir to combine.
To serve, place two potato cakes onto each plate and serve with a dollop of pea purée.


ApplicationBase()
Base class for applications.
Base class for applications supporting Hot Module Replacement (HMR).


ProgressSpinner is a process status indicator.
ProgressSpinner is defined using p-progressSpinner element.
Colors of the spinner can be changed by overriding the keyframes animation
| Name | Type | Default | Description |
|---|---|---|---|
| strokeWidth | string | 2 | Width of the circle stroke. |
| fill | string | null | Color for the background of the circle. |
| animationDuration | string | 2s | Duration of the rotate animation. |
Following is the list of structural style classes, for theming classes visit theming page.
| Name | Element |
|---|---|
| p-progress-spinner | Container element. |
| p-progress-circle | SVG element. |
| p-progress-path | Circle element. |
None.


Library: Localization
money_put locale::facet
A monetary formatting facet
#include <locale> namespace std { template <class charT, class OutputIterator = ostreambuf_iterator<charT> > class money_put; }
The primary template can be implicitly or explicitly specialized on any character type that satisfies the requirements on the type of the character used by iostream class templates, and on any iterator type that satisfies the requirements of Output Iterator.
The money_put facet includes facilities for formatted output of monetary values.
namespace std { template <class charT, class OutputIterator = ostreambuf_iterator<charT> > class money_put : public locale::facet { public: typedef charT char_type; typedef OutputIterator iter_type; typedef basic_string<charT> string_type; explicit money_put(size_t = 0); iter_type put(iter_type, bool, ios_base&, char_type, long double) const; iter_type put(iter_type, bool, ios_base&, char_type, const string_type&) const; static locale::id id; protected: virtual iter_type do_put(iter_type, bool, ios_base&, char_type, long double) const; virtual iter_type do_put(iter_type, bool, ios_base&, char_type, const string_type&) const; }; }
char_type
Type of the first template argument.
iter_type
Type of the second template argument.
string_type
Type of basic_string specialized on char_type.
explicit money_put(size_t refs = 0)
Constructs a money_put object. Calls locale::facet (refs).
The refs argument is set to the initial value of the object's reference count. A money_put object f constructed with (refs == 0) that is installed in one or more locale objects will be destroyed and the storage it occupies will be deallocated when the last locale object containing the facet is destroyed, as if by calling delete static_cast<locale::facet*>(&f). A money_put object constructed with (refs != 0) will not be destroyed by any locale objects in which it may have been installed.
static locale::id id;
Unique identifier for this type of facet.
The public members of the money_put facet include an interface to protected members. Each public member put() calls the corresponding virtual protected member do_put().
iter_type put(iter_type s, bool intl, ios_base& io, char_type fill, long double units) const; iter_type put(iter_type s, bool intl, ios_base& io, char_type fill, const string_type& digits) const;
Each of these two overloads of the public member function put() calls the corresponding protected virtual function do_put().
virtual iter_type do_put(iter_type s, bool intl, ios_base& io, char_type fill, long double units) const; virtual iter_type do_put(iter_type s, bool intl, ios_base& io, char_type fill, const string_type& digits) const;
The functions format the integral part of the monetary value in units, or the initial sequence of digits optionally preceded by the minus sign, '-', in digits, respectively, according to the format specified by the formatting flags set in io and the moneypunct<char_type, intl> facet installed in the locale imbued in io, using the fill argument for padding as appropriate, and inserts it into the output sequence starting at s. Just before they return an iterator pointing one past the last character written, the functions call io.width(0).
The functions obtain a reference, punct, to the moneypunct<char_type, intl> facet installed in the locale object imbued in io to determine the format of the produced sequence as if by calling use_facet<moneypunct<char_type, intl> >(io.getloc()).
Similarly, the functions obtain a reference, ctype, to the ctype<char_type> facet installed in the locale object imbued in io to determine the wide versions of the characters inserted into the output sequence as if by calling use_facet<ctype<char_type> >(io.getloc()).
The functions use the result of punct.pos_format() to format positive monetary values, and the result of neg_format() to format negative values.
Where money_base::none appears in the format, and if ((io.flags() & ios_base::adjustfield) == ios_base::internal), and if io.width(), w, is a value greater than the number of characters that would have otherwise been inserted without any padding, the functions insert a sufficient number of copies of the fill character to make the total number of inserted characters equal to w.
Where money_base::sign appears in the format, the first character of punct.negative_sign(), if the monetary value units is negative or if ('-' == ctype.narrow (digits[0], '\0')) is true, or positive_sign(). Otherwise, it is inserted into the output sequence. No character is inserted if the respective sign string is empty.
Where money_base::space appears in the format, a single space character returned from ctp.widen (' ') is inserted into the output sequence, followed by zero or more copies of the fill character according to the same rules as for money_base::none.
Where money_base::symbol appears in the format, if (io.flags() & ios_base::showbase) is non-zero, the string returned from punct.curr_symbol() is inserted into the output sequence.
Where money_base::value appears in the format, a sequence of digits representing the absolute value, v, of the integral portion of the monetary value is inserted into the output sequence. If (fd > 0) is true for the value fd equal to punct.frac_digits(), the character returned from punct.decimal_point() is inserted into the sequence so that it is followed by exactly fd digits of v, possibly preceded by the appropriate number of zeros as returned from ctype.widen('0'). If punct.grouping() returns a non-empty string, groups of inserted digits will be separated by the character returned from punct.thousands_sep() as appropriate.
If io.width(), w, is a value greater than the number of characters that would have otherwise been inserted without any padding, then for the result, adj, of the expression(io.flags() & ios_base::adjustfield), if (adj == ios_base::left) is false, the functions insert a sufficient number of copies of the fill character before inserting any other characters into the ouptut sequence to make the total number of inserted characters equal to w; otherwise, if (adj != ios_base::internal) is true, the functions returns the same number of copies of fill after all other characters have been inserted.
#include <locale> // for locale, money_put, use_facet #include <iostream> // for cout, endl #include <iterator> // for ostreambuf_iterator #include <string> // for string int main () { typedef std::ostreambuf_iterator<char, std::char_traits<char> > Iter; const std::string buffer ("10002"); const long double ldval = 10002; // Construct a ostreambuf_iterator on cout Iter begin (std::cout); const std::locale loc; // Get a money put facet const std::money_put<char, Iter> &mp = std::use_facet<std::money_put<char, Iter> >(loc); // Put out the string representation of the monetary value std::cout << buffer << " --> "; mp.put (begin, false, std::cout, ' ', buffer); // Put out the long double representation of the monetary value std::cout << std::endl << ldval << " --> "; mp.put (begin, false, std::cout, ' ', ldval); std::cout << std::endl; return 0; } Program Output: 10002 --> 10002 10002 --> 10002
locale, Facets, money_get, moneypunct
ISO/IEC 14882:1998 -- International Standard for Information Systems -- Programming Language C++, Section <IP_ADDRESS>


Namespace NMF.Transformations.Core
Classes
AbstractTrace
Represents the base class for traces.
Computation
This class represents a single computation within the transformation engine of NMF.Transformations
ComputationContext
The default implementation for a computation context
ComputationEventArgs
Represents the data for events that belong to certain computations
Dependency
This class represents a (non-calling) dependency
GeneralTransformationRule
This class represents the base class for a transformation rule
MultipleDependency
This class is used to represent dependencies on more than one child object
OutputDependency
Represents a default implementation for a dependency that requires a computation to have its output initialized
SingleDependency
This class represents a single require- or call-after- dependency
Trace
Represents a trace class based on a collection of computations
TraceEntryExtensions
Provides some helper functionality for tracing
Transformation
This is the base class for transformations
TransformationContext
This is the most important class of NMF.Transformations as it handles all the transformation
TransformationContext.TransformationContextTrace
Represents the trace class for TransformationContext
TransformationContextExtensions
Extensions for the transformation context
TransformationRunner
Service class to run transformations
Interfaces
IComputationContext
This interface represents the transformation engine context information attached to a computation
IPersistor
This interface is internally used to persist an output of transformation rules somehow
ITraceEntry
Represents a trace entry
ITransformationContext
This is the basic interface for a transformation context, providing a full trace
ITransformationEngineContext
Denotes the transformation context of a parallel transformation engine
ITransformationPattern
Represents a transformation pattern
ITransformationPatternContext
Represents the application of a transformation pattern to a transformation context
ITransformationRuleDependency
Represents an interface for dependencies for transformation rules
ITransformationRulePattern
Represents a transformation pattern that can be tied to a transformation rule
ITransformationTrace
Represents a trace for a transformation


contains all functions which are necessary to extract the parameters in the script xml_transform.php
More...
contains all functions which are necessary to extract the parameters in the script xml_transform.php
- Author
- Florian Wirthmüller
- Version
- 1.0
§ getAnnoSrc()
returns the source of the last annotion/edit specified in the given xml string.
- Parameters
-
| [out] | $lastUser | username of the last editor which is specified in the given xml string. |
| [in] | $xml | XML string. |
§ getDatabase()
returns the source database specified in the given xml string.
- Parameters
-
| [out] | $database | source database which is specified in the given xml string. |
| [in] | $xml | XML string. |
§ getFilename()
returns the filename specified in the given xml string.
- Parameters
-
| [out] | $filename | filename which is specified in the given xml string. |
| [in] | $xml | XML string. |
§ getFolder()
returns the folder specified in the given xml string.
- Parameters
-
| [out] | $folder | folder which is specified in the given xml string. |
| [in] | $xml | XML string. |
§ getImgSize()
| getImgSize |
( |
|
$folder, |
|
|
|
$filename |
|
) |
| |
returns the size of the image which is specified by folder and filename.
- Parameters
-
| [out] | $imgSize | array containing the size of the image which is specified in the given parameters: Index 0 = width; Index 1 = height; Index 2 = depth if this parameter is accessible for the type of the image |
| [in] | $folder | folder which contains the image. |
| [in] | $filename | filename of the image. |
§ getImgSrc()
returns the source of the image specified in the given xml string.
- Parameters
-
| [out] | $imgSrc | source of the image which is specified in the given xml string. |
| [in] | $xml | XML string. |


Percentage of Volume Algorithms "go along" with the market voulme ; hence they are sometimes called participation, or target participation algorithms . The P.OV algorithm is a natural extension of early "Market follow" based trading strategies. The algorithms belongs to the family of Impact Driven Algorithms .
Unlike other algorithms, like the TWAP, where a trading schedule may be predetermined, for POV algorithms the trading schedule is dynamically determined. The benchmark that P.O.V algorithm follows is : Market Volume . The Algorithm tries to particiate in the market a given rate , in proportion to the market volume.


Google Earth Enterprise Documentation Home | GEE Server administration
View 3D databases
You can view your globes using Google Earth Enterprise Client (EC) or in a browser.
View a globe in Google Earth EC
Google Earth Enterprise Client (EC) lets you connect directly with your organization’s private globes. You can sign in to as many databases as you want.
To view a globe in Google Earth EC:
- Launch Google Earth EC. The Select Server dialog appears.
- Specify the Publish point by entering or selecting the URL or IP address of your server and database in the Server field. For example, a Publish point of BayAreaHighways would be hosted at http://myserver.mydomainname.com/BayAreaHighways, where myserver and mydomainname are specific to your server.
- Click Sign In.
- If you have logged in to this server with Google Earth EC previously, log out, clear your cache, and log back in. For help with clearing your cache, see Clearing the Google Earth EC cache.
- Google Earth EC displays your database. The Layers panel shows the terrain, imagery, and vector layers in the published database.
Learn more
Viewing 3D databases in a browser
You can view 3D globes from a browser using Preview if you have access to Google Earth Plugin and a supported browser. However, Google Earth Plugin is now deprecated and does not work in modern browsers that do not implement NPAPI.
To view your map database from Google Earth Enterprise Server:
- Log in to the Admin console of Google Earth Enterprise Server. The Admin console opens to the Databases page.
- Check the box next to the 3D database that you want to view.
- Click Preview or the Publish point of the database you selected. A new browser tab opens displaying your 3D database.


LEADER HEMORRHOIDAL - mineral oil, petrolatum, phenylephrine hydrochloride and shark liver oil ointment
CARDINAL HEALTH
Disclaimer: Most OTC drugs are not reviewed and approved by FDA, however they may be marketed if they comply with applicable regulations and policies. FDA has not evaluated whether this product complies.
Active ingredients Purpose
Mineral oil 14% .................................................................Protectant
Petrolatum 71.9% .............................................................Protectant
Phenylephrine HCL 0.25% .................................................Vasoconstrictor
Shark liver oil 3.0%
...........................................................Protectant
Uses
Ask a doctor before use if you have
Ask a doctor or pharmacist before use if you are now taking a
prescription drug for high blood pressure or depression
Stop use and ask a doctor if
Keep out of reach of children.
If swallowed, get medical help or contact a Poison Control Center right
away.
Directions
Other information
Store at 20o to 25oC (68o to 77oF)
Lot No. and Exp. Date: see box or see crimp of tube
Inactive ingredients
BHA, concentrated glycerin, glyceryl monosterarte, methylparaben,
propylparaben, purified lanoline, purified water, thyme oil red
|
LEADER HEMORRHOIDAL
mineral oil, petrolatum, phenylephrine hcl, shark liver oil ointment | ||||||||||||||||||||||
| ||||||||||||||||||||||
| ||||||||||||||||||||||
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|
| Labeler - CARDINAL HEALTH (097537435) |


- Invite team members
-
You can manage phone, email and chat conversations all from a single mailbox.
- List view
-
You can manage phone, email and chat conversations all from a single mailbox.
- Keyboard shortcuts
-
You can manage phone, email and chat conversations all from a single mailbox.
- Calendars
-
You can manage phone, email and chat conversations all from a single mailbox.
- Notifications
-
Find what you need with advanced filters, bulk actions, and quick views.
- Boards
-
Find what you need with advanced filters, bulk actions, and quick views.
- Reporting
-
Find what you need with advanced filters, bulk actions, and quick views.
- Mobile app
-
Find what you need with advanced filters, bulk actions, and quick views.


World Wide Water Map
Water Attribute:
Agricultural water withdrawal
Agricultural water withdrawal as % of total water withdrawal
Dependency ratio
Fresh groundwater withdrawal
Fresh surface water withdrawal
Groundwater accounted inflow
Groundwater accounted outflow to other countries
Groundwater entering the country
Groundwater leaving the country to other countries
Groundwater produced internally
Industrial water withdrawal
Industrial water withdrawal as % of total water withdrawal
Irrigation water requirement
Irrigation water withdrawal
Municipal water withdrawal
Municipal water withdrawal as % of total withdrawal
Surface water accounted flow of border rivers
Surface water accounted inflow
Surface water entering the country
Surface water inflow not submitted to treaties
Surface water inflow secured through treaties
Surface water inflow submitted to treaties
Surface water leaving the country to other countries
Surface water outflow to other countries not submitted to treaties
Surface water outflow to other countries secured through treaties
Surface water outflow to other countries submitted to treaties
Surface water produced internally
Surface water total external renewable
Surface water total flow of border rivers
Total area of the country
Total freshwater withdrawal
Total internal renewable water resources
Total internal renewable water resources per capita
Total population
Total renewable groundwater
Total renewable surface water
Total renewable water resources
Total renewable water resources per capita
Total water withdrawal
Total water withdrawal per capita
Water resources total external renewable
1970
1975
1980
1985
1990
1995
2000
2005
2010
2015
Data per country was taken within a margin of 2 years from selected year
Country Selection:
Data source:
AQUASTAT


How to secure a platform
This post shall be an overview about my series on how to design and implement an architecture to secure a complex platform.
In difference to a small web application, for example a website with a frontend, backend and a relational database, where you have only one user, the owner/admin and/or a few others. There it is easy to select a securing method, like session based authentication or token based authentication and then check if a requesting user is authenticated and what role he has. In this simple usecase you have a small monolithic application, but if you have a bigger platform, based on multiple microservices, then it will be hard. If you want to give third parties access to your platform or if you are having different platforms, where