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=== Test case: lasp_SUITE:contracted_latency_test/1 (click for source code)
=== Config value:
[{watchdog,<0.451.0>},
<EMAIL_ADDRESS>{tc_group_properties,[]},
{tc_group_path,[]},
{data_dir,"/home/antoine/Documents/Unif/M1/DistributedSystems/lasp/_build/test/lib/lasp/test/lasp_SUITE_data/"},
<EMAIL_ADDRESS>=== Current directory is<EMAIL_ADDRESS>=== Started at 2017-04-20 14:11:58
*** User 2017-04-20 14:11:58.203 ***
Beginning case: contracted_latency_test
*** User 2017-04-20 14:11:58.209 ***
14:11:58.209 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'runner@antoine-PC'
*** User 2017-04-20 14:11:59.405 ***
14:11:59.405 [info] Enabling membership...
*** User 2017-04-20 14:11:59.406 ***
14:11:59.406 [info] Disabling blocking sync...
*** User 2017-04-20 14:11:59.409 ***
14:11:59.409 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-1@antoine-PC'
*** User 2017-04-20 14:12:00.746 ***
14:12:00.746 [info] Enabling membership...
*** User 2017-04-20 14:12:00.747 ***
14:12:00.747 [info] Disabling blocking sync...
*** User 2017-04-20 14:12:00.750 ***
14:12:00.750 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-2@antoine-PC'
*** User 2017-04-20 14:12:02.082 ***
14:12:02.082 [info] Enabling membership...
*** User 2017-04-20 14:12:02.083 ***
14:12:02.083 [info] Disabling blocking sync...
*** User 2017-04-20 14:12:02.086 ***
14:12:02.086 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-3@antoine-PC'
*** User 2017-04-20 14:12:02.247 ***
Joining node: 'node-3@antoine-PC' to 'runner@antoine-PC' at port 37239
*** User 2017-04-20 14:12:02.251 ***
Joining issued: 'node-3@antoine-PC' to 'runner@antoine-PC' at port 37239
*** User 2017-04-20 14:12:02.251 ***
Joining node: 'node-2@antoine-PC' to 'runner@antoine-PC' at port 44934
*** User 2017-04-20 14:12:02.251 ***
Joining issued: 'node-2@antoine-PC' to 'runner@antoine-PC' at port 44934
*** User 2017-04-20 14:12:02.251 ***
Joining node: 'node-1@antoine-PC' to 'runner@antoine-PC' at port 55452
*** User 2017-04-20 14:12:02.254 ***
Joining issued: 'node-1@antoine-PC' to 'runner@antoine-PC' at port 55452
*** User 2017-04-20 14:12:02.314 ***
Waiting for join to complete with manager: partisan_default_peer_service_manager
*** User 2017-04-20 14:12:02.315 ***
Finished.
*** CT 2017-04-20 14:12:02.325 *** COVER INFO
Adding nodes to cover test: ['runner@antoine-PC']
*** CT 2017-04-20 14:12:02.331 *** COVER INFO
Successfully added nodes to cover test: []
*** User 2017-04-20 14:12:02.331 ***
Case finished: contracted_latency_test
*** User 2017-04-20 14:12:09.367 ***
14:12:09.367 [info] Application lasp exited with reason: stopped
=== Ended at 2017-04-20 14:12:09
=== successfully completed test case
=== Returned value: ok
Test run history
| Top level test index


Samsung Galaxy S10 gets Note 10’s improved gallery, device search, and more with upcoming update
by Tushar MehtaSmartphone manufacturers introduce new features with their leading devices and these features eventually make their way to older and relatively affordable others. Back in September, Samsung added the Galaxy Note 10’s DeX mode and camera features to the Galaxy S10. Now, they are rolling out a new update and bringing many other Galaxy Note 10‘s features to the Galaxy S10. This update includes improved contextual search in the gallery, multimedia controls, and a lot more.
First off, the update for the Samsung Galaxy S10 series brings refinement to the Gallery. You can now type a keyword and related images will show up automatically. This search is presumably powered by Samsung’s own AI – Bixby.
Samsung Galaxy S10 XDA Forums / Samsung Galaxy S10 Plus XDA Forums
The update also brings improvements to the media discovery. The new “Media” option at the bottom of the quick settings panel now also shows recommendations for the music and videos. You can also control media playback on other devices like wireless speakers or Samsung TVs from this menu. Further, the “Devices” menu accessible with a button adjacent to the Media button will allow you to take control of all connected devices.
The Auto Hotspot feature allows devices with the same Samsung account as your smartphone to connect to your Galaxy S10’s Wi-Fi hotspot. Family Sharing allows members in your Samsung family group to share your internet connection without having to connect manually. Furthermore, the “Intelligent Wi-Fi Tips” feature will help users troubleshoot if they face any difficulty while signing into a Wi-Fi network.
An update for the Samsung Galaxy S10 around the last week of September had added the Note 10’s AR Doodle feature using which you can draw anything and its spatial position remains unchanged even if you move around. The update had also added other camera features such as Live Focus, Live Focus Video, Night Mode on the front camera, and lastly the Super Steady mode for videos. Additionally, the update has brought improved DeX support with new video editing features.
Samsung notes that the latest update will be available region-wise and new features may be limited to certain regions. Comment below with your region if you’re received the update and we’ll add those details to the article.
Source: Samsung


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MY NEW GUN A film review by James Berardinelli Copyright 1993 James Berardinelli
Date Released: varies Running Length: 1:39 Rated: NR (Mature themes)
Starring: Diane Lane, Stephen Collins, James LeGros, Tess Harper, Bruce Altman, Maddie Corman Director: Stacy Cochran Producer: Michael Flynn Screenplay: Stacy Cochran Music: Pat Irwin Released by I.R.S Media
Irwin (Bruce Altman) and Myra (Maddie Corman) are going to get married. When they break the news to their friends Debbie and Gerald Bender (Diane Lane and Stephen Collins), Myra also shows off something Irwin bought for her: a .38 with "Myra" engraved on it. Gerald, deciding that this is a good idea, buys Debbie a similar weapon, even though she states emphatically that she doesn't want a gun in the house. The gun turns into a real issue, however, when it is appropriated by the Benders' odd neighbor Skippy (James LeGros). While Debbie thinks Skippy is harmless, her husband is convinced that he's either a Satan-worshipping junkie or a hit-man who has botched a job.
The first half of MY NEW GUN is a bitingly funny satire on life in suburbia and the yuppies who live in it. There are scenes that are incisive precisely because they're so close to reality. Gerald Bender is the kind of self-absorbed, pompous, property-obsessed person who inhabits an expensive condominium and considers spending nearly $400 on a windbreaker. This film successfully lampoons him and his lifestyle.
Unfortunately, about midway through, the movie starts getting away from what makes it work. The second half has none of the freshness and originality of what went before--it tells a simple, uncomplicated story with less humor and little energy. As the end drew near, I waited for something wildly unexpected to occur. I was still waiting after the end credits had rolled.
Taken on its own without the unspectacular ending, the first part of MY NEW GUN is brilliant. It shows how the introduction of a gun into one household can lead to a complete change in lifestyle--and not in the expected way. The gun, as Gerald puts it, is a "catalyst." In today's world, where people buy guns and bring them into their homes with about as much thought as they buy a toaster, it's refreshing to see a movie take a closer look, no matter how absurd, at the issue.
I don't know why writer/director Stacy Cochran changed the direction of the film the way she did. Perhaps, as a first time movie-maker, she didn't know how to conclude the movie. Or maybe she simply ran out of ideas for the satirical parts of the script. Whatever the case, MY NEW GUN loses a lot in its last forty-five minutes.
Stephen Collins is almost too good as the arrogant, stuck-up Gerald. Collins, normally relegated to playing clean, nice-guy roles, gets an opportunity to play a rather unlikable but regrettably realistic person. Diane Lane, whose list of credits continues to grow more fascinating and diverse with every new film, is especially noteworthy. Her performance is one of the few worthwhile things in the second half. James LeGros is merely okay--his role demands more than he seems willing to give. LeGros' Skippy is supposed to be a charismatic figure, but it's difficult determining what Debbie sees in him.
As a first film for Stacy Cochran, MY NEW GUN is a worthy effort. Miss Cochran had an idea and a script that developed it, which is more than can be said for many movies. While the second half is certainly watchable, and occasionally entertaining, it's neither as engaging nor as acute as what preceded it.
Rating: 7.9 (B, **1/2)
- James Berardinelli<EMAIL_ADDRESS>.
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


### shell 'shell.html' '{{siteName}} - Firefox Extension'
The {{siteName}} Firefox Extension is a more powerful and more convenient way to access {{siteName}} than the bookmarklet. Links can be added to web pages without reloading them through the proxy, so forms and dynamic pages work as expected.
To install the Firefox Extension, simply click on the link below, and then click the Install Now button. Note that you will have to close Firefox and restart it in order to complete installation.


If you play soccer in the U.S. you probably have problems finding soccer uniform and accessories. But Code Four Athletics has the perfect solution to all your soccer needs. Code Four Athletics is a soccer specialty brand that supplies soccer uniforms, gears and warm up uniforms directly to youth and adult teams thorough out the U.S. Code Four Athletics has high quality products and quick delivery time. You can also customize your team uniforms with its exclusive logos or names. Code Four Athletics provides its own exclusive designs and in house screen printing. Check it out today and use our discount coupons to get a great deal!
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CharityVid - Prepping for scale
In this post, I will outline how I setup horizontal scaling on AWS EC2, and also how I added server monitoring tools to watch my servers. I will go over:
- Migrating to Mongolab
- AWS Load Balancer setup
- Loggly logging
- New Relic server monitoring
- Pingdom uptime monitor
- nodefly node.js monitor
The AWS Load balancer allow you to distribute load coming to a url to different servers. It does this by creating a dynamic DNS entry, which resolves to the server IP which has the least load and thus is best suited to handle traffic. To setup the AWS load balancer is quite simple, and it even removes the need to host your SSL certificate on the webservers themselves. Instead you can have the balancer server the SSL certificate, and then forward the SSL traffic over to port 80 on your servers. This is secure because we assume an uncompromised local network (and indeed Amazon's internal AWS network isolates instances networks properly).
The first step to load balancing is to create an AMI (hard disk clone) of your main server. From there, you can spin up multiple cloned instances based on that AMI. These clones can then be brought online, and then added to the load balancer.
Next, is the creation of the load balancer. It's quite a simple setup, the key being that you DNS is setup properly. For me, I found it easiest to move my DNS to cloudflare (which has given me other security benefits as well), and then all you do is create a CNAME record for your domain which points to the dynamic DNS of the load balancer.
Now, if a server goes down for some reason, the load balancer will automatically stop sending it traffic. It also distributes the load so that you can handle a lot more traffic.
There is a problem however, because our MongoDB instance which has all of our users is on each server independently, but we want all the servers to read from the same database. Normally, a master database server would be used, but I found it quicker and easier to use the hosted service Mongolab. With mongolab, we create a database with their interface, and then upload our existing database to the server.
mongodump --dbpath /data/db/ --out dump
mongorestore -h xxx.mongolab.com:xxxx -d charityvid-database -d -u <user> -p <password> dump
In addition to creating a production shared mongodb instance, I also created a dev clone of the database for testing purposes.
The next step is to set up services which will alert us when the service goes down, and will log error events so that we can debug issues later. For basic uptime monitoring we use Pingdom, which just pings the site every once in a while and will email us (or alert us through their android app) that the site has gone offline.
Next we setup New Relic to monitor the whole server. New Relic sets up a daemon which reports things like CPU and RAM usage, as well as network usage so that you can make sure that the server is running smoothly (and also you get a free t-shirt).
In addition to full server monitoring, I also use nodefly to monitor the main node.js server process which tracks response time, the event loop, and heap size. This is useful is we ever encounter any response time issues, or any other node.js specific issue which is not readily visible through New Relic. That being said, because I run more that one service on my server I mostly pay attention to New Relic, and only occasionally look at nodefly to make sure response times are low.
Finally, and most importantly, we need to log error events. For this we will use the Loggly service, and the nodejs winston library. For logging, I set up my own log.js file which manages the winston setup and the configuration settings with the winston-loggly plugin. It then exports the winston object so that I can import it in other modules for when I want to log things. My log.js config looks like this:
var winston = require('winston'),
Loggly = require('winston-loggly').Loggly,
settings = require('./settings')
winston.add(winston.transports.File, { filename: 'charityvid.log' });
if(!settings.DEBUG){
winston.add(Loggly, {
subdomain: 'charityvid',
inputToken: settings.LOGGLY_KEY
})
}
//winston.remove(winston.transports.Console);
module.exports = winston
In order to determine what level to log things at, I generally follow this comments suggestions: http://stackoverflow.com/a/186844
And that's it. Just make sure you log everything, so that when something bad happens (and something bad always happens), you can resolve the issue as quickly as possible.


Help Social Welfare Society is a group of like-minded people who strongly believe in having a ‘Helping ’ attitude and work towards improving the society. Our efforts are majorly focused on various social issues, which need attention and action in order to create a better society, a better State and a better India for future generation and ourselves. We work to promote health awareness among the masses to lead a healthy lifestyle. In one way or another, we also try to spread awareness about the effects of air pollution and various ways to reduce it. We have organized various campaigns where we help the needful in a way and educate people about pollutions, and hunger eradication, healthcare, employment and education.
The art of giving is the art of living. We firmly believe in working selflessly and strive to inculcate the Helping Nature in the people of Uttar Pradesh . We want to change the winds of Prayagraj at such a level that no matter who stays or steps in the city, they feel “यह मेरा शहर है” deeply in their heart and feel responsible for taking care of its education and employment values. There is no magical snap to convert Prayagraj into a full literate city. This needs to be done by us and the people around us. As responsible citizens of this country and as residents of our beloved Prayagraj , we must take necessary actions and follow the motto of “We are Prayagraj , and we will make Prayagraj , free from all sorts of illiteracy and unemployment ”.Join hands with our Organisation and work towards the dream of a 100% literacy, and 100% empowerment, Happier And healthier Prayagraj .
Help Social Welfare Society – is a Registered Organisation under Society Registration act 1860 in 2011 . It is a Uttar Pradesh based non-profit non- governmental organization. While quoting Martin Luther King Jr. Our president /Founder says,“An individual has not started living until he or she can rise above the narrow confines of individualistic concerns to the broader concerns of all humanity.’’ In a short period, he has outstretched towards like-minded youth who strongly believe in working selflessly for improving our Nation. The efforts, of H. S. W. S team, are focused on various domains like pollution, healthcare, education, employment and hunger eradication.
Eve
“To bring change, we need to be the change.” We at HSWS abide by this saying, by our
actions. We have organised
various campaigns in domains like Healthcare, Education and Hunger Eradication.
Currently our team is working on spreading awareness about Education to all and its perilous effects on the
city. After
noticing the day-to-day rise in unemployment in Prayagraj , our team is willing to put forth a step and make
a resolution
of spreading awareness on how we, as responsible citizens of Prayagraj , should step up and take measures to
control
this unemployment and illiteracy
Myself Afzal Ahmad being a chief Advisor and oldest member. I'm looking forward for huge success of the
organisation. We have crossed many hurdles and milestones in the past 10 years we have started from zero
to almost gaining everything and looking forward to reach the summit of success.
We have more way to go and achieve the goal being walking every steps hand in hand. Wishing all
the very best to the organisation.
Myself Afzal Ahmad being a chief Advisor and oldest member. I'm looking forward for huge success of the
organisation. We have crossed many hurdles and milestones in the past 10 years we have started from zero
to almost gaining everything and looking forward to reach the summit of success.
We have more way to go and achieve the goal being walking every steps hand in hand. Wishing all
the very best to the organisation.
Very much happy and glad to become a part of this organisation. I have seen several things through this organisation. We stared from nothing and now we have a lot of things. I'm oldest members of this organisation and experience so many things during these 10 years of journey. At the start we don't have enough resources, we didn't have funds for programmes. It was our our Founder team who took all the responsibilities of the organisation without team we are nothing. The organisation have received a lot but more to come, more experience, and more to see. I'm wishing all the very best to this organisation.
Being a secretary of this organisation is my dignity and quite prestigious and valuable to me. Actually without this organisation I'm nothing. It gives me a lot and it has given me a different identities from others. I never tried to show off, previously we have just a few members. We started our journey from the year 2011 till now we are going and going now we have hundreds of members from different regions. Now we are trying to get project from Uttar Pradesh Government we organised several events of Education employments and women empowerment in urban, rural and semi unban areas. We are educating our members through social media, programs and workshops. Several things are to be achieved in future. We are giving our best to achieve our organisational goal.
I am honored to serve a second year as a Treasurer with Help Social Welfare Society and look forward to continuing work on our important campaign/program.I feel very fortunate to serve in a community with a staff that values dedication, team work, and possesses a strong sense of accountability. .
With an opportunity to work for the community, Help Social Welfare Society provided me a platform to work towards a great cause. As a joint coordinator, I have been given a wonderful purpose to work towards and leave a footprint in contributing towards the society. Looking forward to making a significant contribution with the help of HSWS.


Stepping through the TomEE source code is a must-to-follow step if you want to understand how TomEE works and later contribute. This is a guide to quickly start your debugging session with TomEE as a TomEE developer.
This guide assumes that:
For beginners it is recommended not to start with the trunk, because it is common to have some blockers or non-stable functionality which could bring your learning to a halt. So first start with the latest stable released source code. Move to trunk once you are ready to do some code modification on TomEE.
Click here to download TomEE 1.7.1 Source code
First extract the zip file named openejb-4.7.1-source-release.zip to any location. Lets assume it is your home folder.
unzip openejb-4.7.1-source-release -d ~
The above command will create the openejb-4.7.1 directory in your home directory.
Even though you can do a full build, We will run the following command to do a quick build so that you can have your meal before your hunger kills you.
mvn -Pquick -Dsurefire.useFile=false -DdisableXmlReport=true -DuniqueVersion=false -ff -Dassemble -DskipTests -DfailIfNoTests=false clean install
More details about building the product from the source can be found here.
The TomEE build builds several distributions (zip & war files) to cater the different needs of different users. Here we discuss about the tomee plus distribution & TomEE war distribution only. TomEE+ is the full feature packed distribution from TomEE.
TomEE+ zip location:
~/openejb-4.7.1/tomee/apache-tomee/target/apache-tomee-plus-1.7.1.zip
Unzip the zip into your home directory (or any other location)
unzip ~/openejb-4.7.1/tomee/apache-tomee/target/apache-tomee-plus-1.7.1.zip -d ~
You will find the directory apache-tomee-plus-1.7.1 in your home folder. Lets run the TomEE.
cd ~/apache-tomee-plus-1.7.1/bin
./catalina.sh run
"INFO: Server startup in xxxx ms" is the Green light!
Lets prepare our IntelliJ IDEA for the debugging session.
Start IntelliJ IDEA and Click the Import Project link
Select the ~/openejb-4.7.1 directory and press OK
Select import project from external model & Maven as the external model.
Press Next on this screen.
Select the main profile.
Select the org.apache.openejb:openejb:4.7.1
Select the JDK you want to use with.
Give the project a name and press Finish.
Now your IDE will load the project.
Next step is to put a breakpoint at the place where the code is triggered. Lets understand how the code is triggered.
TomEE+ is created on top of Tomcat. TomEE registers a Tomcat Lifecycle Listener "org.apache.tomee.catalina.ServerListener" on server.xml file.
All the Tomcat lifecycle events i.e. before_init, after_init, start, before_stop etc... are received by the lifecycleEvent method of the ServerListener.
The execution of TomEE code starts in this lifecycleEvent method. So the first breakpoint should be on the lifecycleEvent method.
If you simply run catalina.sh jpda run in the bin folder of tomee deployment, the server starts in the debug mode but it will quckly pass your breakpoint before you attach your IDE to the server process.
So we set** JPDA_SUSPEND="y"** before we start our debugging. This will tell the server "Do not proceed until the Debugger tool is attached to the process"
The convenient way of doing this is adding this line to catalina.sh file right after the #!/bin/sh line.
#!/bin/sh JPDA_SUSPEND="y"
Now to time to run TomEE+ on debug mode.
~/apache-tomee-plus-1.7.1/bin/catalina.sh jpda run
The terminal should hang with the message "Listening for transport dt_socket at address: 8000"
To start debugging your TomEE+
Main Menu > Run > Debug TomEE DEBUG
Congratulations! You hit the break point you put at the startup of the TomEE code. Carry on with your debugging session to learn more.


Topsham by-election candidates for Exeter City Council election confirmed
The by-election has been triggered after the resignation of Conservative Catherine Pierce, who was first elected to the council in 2018
by Daniel ClarkCandidates for the by-election in Topsham which will take place on the same day as the upcoming General Election have been announced.
Residents in the town will go to the polls to elect an Exeter City Council member, as well as their MP.
The by-election has been triggered after the resignation of Conservative Catherine Pierce, who was first elected to the council in 2018. No reason for her resignation has been given.
Four candidates have been confirmed as taking part in the election which will happen on Thursday, December 12.
They are:
- Christine Campion (Liberal Democrats)
- Ivan Jordan (Labour)
- Frankie Rufolo (The For Britain Movement)
- Keith Sparkes (Conservatives)
The composition of the council currently stands as Labour (29), Conservative (5), Liberal Democrat (2), Green Party (1), Independent (1), and Vacant (1).
Topsham has only returned Conservative councillors in the 21 century, and in May’s election, Cllr Rob Newby held onto his seat in the ward with 47 per cent of the vote.


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Shah Lab
Research
Papers
Software
Team
2019
Clonal Decomposition and DNA Replication States Defined by Scaled Single-Cell Genome Sequencing.
Cell
179
, 1207-1221.e22 (2019)
Clonal Decomposition and DNA Replication States Defined by Scaled Single-Cell Genome Sequencing.
Cell
179
, 1207-1221.e22 (2019)
Dissociation of solid tumor tissues with cold active protease for single-cell RNA-seq minimizes conserved collagenase-associated stress responses.
Genome Biol
20
, 210 (2019)
Dissociation of solid tumor tissues with cold active protease for single-cell RNA-seq minimizes conserved collagenase-associated stress responses.
Genome Biol
20
, 210 (2019)
Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling.
Nat Methods
16
, 1007-1015 (2019)
Probabilistic cell-type assignment of single-cell RNA-seq for tumor microenvironment profiling.
Nat Methods
16
, 1007-1015 (2019)
Pharmacological systems analysis defines EIF4A3 functions in cell-cycle and RNA stress granule formation.
Commun Biol
2
, 165 (2019)
Pharmacological systems analysis defines EIF4A3 functions in cell-cycle and RNA stress granule formation.
Commun Biol
2
, 165 (2019)
Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups.
Nature
567
, 399-404 (2019)
clonealign: statistical integration of independent single-cell RNA and DNA sequencing data from human cancers.
Genome Biol
20
, 54 (2019)
Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups.
Nature
567
, 399-404 (2019)
clonealign: statistical integration of independent single-cell RNA and DNA sequencing data from human cancers.
Genome Biol
20
, 54 (2019)
2018
Decoding Transcriptome Dynamics of Genome-Encoded Polyadenylation and Autoregulation with Small-Molecule Modulators of Alternative Polyadenylation.
Cell Chem Biol
25
, 1470-1484.e5 (2018)
Decoding Transcriptome Dynamics of Genome-Encoded Polyadenylation and Autoregulation with Small-Molecule Modulators of Alternative Polyadenylation.
Cell Chem Biol
25
, 1470-1484.e5 (2018)
High-Resolution Single-Cell DNA Methylation Measurements Reveal Epigenetically Distinct Hematopoietic Stem Cell Subpopulations.
Stem Cell Reports
11
, 578-592 (2018)
High-Resolution Single-Cell DNA Methylation Measurements Reveal Epigenetically Distinct Hematopoietic Stem Cell Subpopulations.
Stem Cell Reports
11
, 578-592 (2018)
Discovery of 3-Benzyl-1-( trans-4-((5-cyanopyridin-2-yl)amino)cyclohexyl)-1-arylurea Derivatives as Novel and Selective Cyclin-Dependent Kinase 12 (CDK12) Inhibitors.
J Med Chem
61
, 7710-7728 (2018)
Discovery of 3-Benzyl-1-( trans-4-((5-cyanopyridin-2-yl)amino)cyclohexyl)-1-arylurea Derivatives as Novel and Selective Cyclin-Dependent Kinase 12 (CDK12) Inhibitors.
J Med Chem
61
, 7710-7728 (2018)
Interfaces of Malignant and Immunologic Clonal Dynamics in Ovarian Cancer.
Cell
173
, 1755-1769.e22 (2018)
Interfaces of Malignant and Immunologic Clonal Dynamics in Ovarian Cancer.
Cell
173
, 1755-1769.e22 (2018)
2017
Engineered in-vitro cell line mixtures and robust evaluation of computational methods for clonal decomposition and longitudinal dynamics in cancer.
Sci Rep
7
, 13467 (2017)
Engineered in-vitro cell line mixtures and robust evaluation of computational methods for clonal decomposition and longitudinal dynamics in cancer.
Sci Rep
7
, 13467 (2017)
Impact of serum HER2, TIMP-1, and CAIX on outcome for HER2+ metastatic breast cancer patients: CCTG MA.31 (lapatinib vs. trastuzumab).
Breast Cancer Res Treat
164
, 571-580 (2017)
Impact of serum HER2, TIMP-1, and CAIX on outcome for HER2+ metastatic breast cancer patients: CCTG MA.31 (lapatinib vs. trastuzumab).
Breast Cancer Res Treat
164
, 571-580 (2017)
Discovery and Characterization of a Eukaryotic Initiation Factor 4A-3-Selective Inhibitor That Suppresses Nonsense-Mediated mRNA Decay.
ACS Chem Biol
12
, 1760-1768 (2017)
Discovery and Characterization of a Eukaryotic Initiation Factor 4A-3-Selective Inhibitor That Suppresses Nonsense-Mediated mRNA Decay.
ACS Chem Biol
12
, 1760-1768 (2017)
Genomic consequences of aberrant DNA repair mechanisms stratify ovarian cancer histotypes.
Nat Genet
49
, 856-865 (2017)
Genomic consequences of aberrant DNA repair mechanisms stratify ovarian cancer histotypes.
Nat Genet
49
, 856-865 (2017)
Discovery of Novel 1,4-Diacylpiperazines as Selective and Cell-Active eIF4A3 Inhibitors.
J Med Chem
60
, 3335-3351 (2017)
Discovery of Novel 1,4-Diacylpiperazines as Selective and Cell-Active eIF4A3 Inhibitors.

Nucleic Acids Res
45
, 6698-6716 (2017)
Atrophin controls developmental signaling pathways via interactions with Trithorax-like.
Elife
6
, (2017)
Atrophin controls developmental signaling pathways via interactions with Trithorax-like.
Elife
6
, (2017)
Discovery of selective ATP-competitive eIF4A3 inhibitors.
Bioorg Med Chem
25
, 2200-2209 (2017)
Discovery of selective ATP-competitive eIF4A3 inhibitors.
Bioorg Med Chem
25
, 2200-2209 (2017)
ddClone: joint statistical inference of clonal populations from single cell and bulk tumour sequencing data.
Genome Biol
18
, 44 (2017)
ddClone: joint statistical inference of clonal populations from single cell and bulk tumour sequencing data.
Genome Biol
18
, 44 (2017)
CLK-dependent exon recognition and conjoined gene formation revealed with a novel small molecule inhibitor.
Nat Commun
8
, 7 (2017)
CLK-dependent exon recognition and conjoined gene formation revealed with a novel small molecule inhibitor.
Nat Commun
8
, 7 (2017)
CX-5461 is a DNA G-quadruplex stabilizer with selective lethality in BRCA1/2 deficient tumours.
Nat Commun
8
, 14432 (2017)
CX-5461 is a DNA G-quadruplex stabilizer with selective lethality in BRCA1/2 deficient tumours.
Nat Commun
8
, 14432 (2017)
Erratum to: Genome co-amplification upregulates a mitotic gene network activity that predicts outcome and response to mitotic protein inhibitors in breast cancer.
Breast Cancer Res
19
, 17 (2017)
Erratum to: Genome co-amplification upregulates a mitotic gene network activity that predicts outcome and response to mitotic protein inhibitors in breast cancer.
Breast Cancer Res
19
, 17 (2017)
Scalable whole-genome single-cell library preparation without preamplification.
Nat Methods
14
, 167-173 (2017)
Scalable whole-genome single-cell library preparation without preamplification.
Nat Methods
14
, 167-173 (2017)
The RNA helicase DDX39B and its paralog DDX39A regulate androgen receptor splice variant AR-V7 generation.
Biochem Biophys Res Commun
483
, 271-276 (2017)
The RNA helicase DDX39B and its paralog DDX39A regulate androgen receptor splice variant AR-V7 generation.
Biochem Biophys Res Commun
483
, 271-276 (2017)
2016
Patient-derived xenograft (PDX) models in basic and translational breast cancer research.
Cancer Metastasis Rev
35
, 547-573 (2016)
Patient-derived xenograft (PDX) models in basic and translational breast cancer research.
Cancer Metastasis Rev
35
, 547-573 (2016)
The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery.
Cell
167
, 1145-1149 (2016)
The International Human Epigenome Consortium: A Blueprint for Scientific Collaboration and Discovery.
Cell
167
, 1145-1149 (2016)
Analysis of Normal Human Mammary Epigenomes Reveals Cell-Specific Active Enhancer States and Associated Transcription Factor Networks.
Cell Rep
17
, 2060-2074 (2016)
Analysis of Normal Human Mammary Epigenomes Reveals Cell-Specific Active Enhancer States and Associated Transcription Factor Networks.
Cell Rep
17
, 2060-2074 (2016)
A Biobank of Breast Cancer Explants with Preserved Intra-tumor Heterogeneity to Screen Anticancer Compounds.
Cell
167
, 260-274.e22 (2016)
A Biobank of Breast Cancer Explants with Preserved Intra-tumor Heterogeneity to Screen Anticancer Compounds.
Cell
167
, 260-274.e22 (2016)
Direct Transcriptional Consequences of Somatic Mutation in Breast Cancer.
Cell Rep
16
, 2032-46 (2016)
Direct Transcriptional Consequences of Somatic Mutation in Breast Cancer.
Cell Rep
16
, 2032-46 (2016)
Robust high-performance nanoliter-volume single-cell multiple displacement amplification on planar substrates.
Proc Natl Acad Sci U S A
113
, 8484-9 (2016)
Robust high-performance nanoliter-volume single-cell multiple displacement amplification on planar substrates.
Proc Natl Acad Sci U S A
113
, 8484-9 (2016)
Bimolecular complementation affinity purification (BiCAP) reveals dimer-specific protein interactions for ERBB2 dimers.
Sci Signal
9
, ra69 (2016)
Bimolecular complementation affinity purification (BiCAP) reveals dimer-specific protein interactions for ERBB2 dimers.
Sci Signal
9
, ra69 (2016)
Genome co-amplification upregulates a mitotic gene network activity that predicts outcome and response to mitotic protein inhibitors in breast cancer.
Breast Cancer Res
18
, 70 (2016)
Genome co-amplification upregulates a mitotic gene network activity that predicts outcome and response to mitotic protein inhibitors in breast cancer.
Breast Cancer Res
18
, 70 (2016)
Erratum: The somatic mutation profiles of 2,433 breast cancers refine their genomic and transcriptomic landscapes.
Nat Commun
7
, 11908 (2016)
Erratum: The somatic mutation profiles of 2,433 breast cancers refine their genomic and transcriptomic landscapes.
Nat Commun
7
, 11908 (2016)
Corrigendum: Frequent somatic transfer of mitochondrial DNA into the nuclear genome of human cancer cells.
Genome Res
26
, 717.2 (2016)
Corrigendum: Frequent somatic transfer of mitochondrial DNA into the nuclear genome of human cancer cells.
Genome Res
26
, 717.2 (2016)
Clonal genotype and population structure inference from single-cell tumor sequencing.
Nat Methods
13
, 573-6 (2016)
Divergent modes of clonal spread and intraperitoneal mixing in high-grade serous ovarian cancer.
Nat Genet
48
, 758-67 (2016)
Clonal genotype and population structure inference from single-cell tumor sequencing.
Nat Methods
13
, 573-6 (2016)
Divergent modes of clonal spread and intraperitoneal mixing in high-grade serous ovarian cancer.
Nat Genet
48
, 758-67 (2016)
The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes.
Nat Commun
7
, 11479 (2016)
The somatic mutation profiles of 2,433 breast cancers refines their genomic and transcriptomic landscapes.
Nat Commun
7
, 11479 (2016)
Combined Use of Gene Expression Modeling and siRNA Screening Identifies Genes and Pathways Which Enhance the Activity of Cisplatin When Added at No Effect Levels to Non-Small Cell Lung Cancer Cells In Vitro.
PLoS One
11
, e0150675 (2016)
Combined Use of Gene Expression Modeling and siRNA Screening Identifies Genes and Pathways Which Enhance the Activity of Cisplatin When Added at No Effect Levels to Non-Small Cell Lung Cancer Cells In Vitro.
PLoS One
11
, e0150675 (2016)
2015
Lessons learned from the application of whole-genome analysis to the treatment of patients with advanced cancers.
Cold Spring Harb Mol Case Stud
1
, a000570 (2015)
Lessons learned from the application of whole-genome analysis to the treatment of patients with advanced cancers.
Cold Spring Harb Mol Case Stud
1
, a000570 (2015)
Barcoding reveals complex clonal dynamics of de novo transformed human mammary cells.
Nature
528
, 267-71 (2015)
Barcoding reveals complex clonal dynamics of de novo transformed human mammary cells.
Nature
528
, 267-71 (2015)
Systematic analysis of somatic mutations impacting gene expression in 12 tumour types.
Nat Commun
6
, 8554 (2015)
Systematic analysis of somatic mutations impacting gene expression in 12 tumour types.
Nat Commun
6
, 8554 (2015)
Frequent somatic transfer of mitochondrial DNA into the nuclear genome of human cancer cells.
Genome Res
25
, 814-24 (2015)
Frequent somatic transfer of mitochondrial DNA into the nuclear genome of human cancer cells.
Genome Res
25
, 814-24 (2015)
Examining the utility of patient-derived xenograft mouse models.
Nat Rev Cancer
15
, 311-6 (2015)
Examining the utility of patient-derived xenograft mouse models.
Nat Rev Cancer
15
, 311-6 (2015)
Lapatinib or Trastuzumab Plus Taxane Therapy for Human Epidermal Growth Factor Receptor 2-Positive Advanced Breast Cancer: Final Results of NCIC CTG MA.31.
J Clin Oncol
33
, 1574-83 (2015)
Lapatinib or Trastuzumab Plus Taxane Therapy for Human Epidermal Growth Factor Receptor 2-Positive Advanced Breast Cancer: Final Results of NCIC CTG MA.31.
J Clin Oncol
33
, 1574-83 (2015)
A co-culture genome-wide RNAi screen with mammary epithelial cells reveals transmembrane signals required for growth and differentiation.
Breast Cancer Res
17
, 4 (2015)
A co-culture genome-wide RNAi screen with mammary epithelial cells reveals transmembrane signals required for growth and differentiation.
Breast Cancer Res
17
, 4 (2015)
In vivo radioimaging of bradykinin receptor b1, a widely overexpressed molecule in human cancer.
Cancer Res
75
, 387-93 (2015)
In vivo radioimaging of bradykinin receptor b1, a widely overexpressed molecule in human cancer.
Cancer Res
75
, 387-93 (2015)
Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution.
Nature
518
, 422-6 (2015)
Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution.
Nature
518
, 422-6 (2015)
A tumor DNA complex aberration index is an independent predictor of survival in breast and ovarian cancer.
Mol Oncol
9
, 115-27 (2015)
A tumor DNA complex aberration index is an independent predictor of survival in breast and ovarian cancer.
Mol Oncol
9
, 115-27 (2015)
2014
DNA barcoding reveals diverse growth kinetics of human breast tumour subclones in serially passaged xenografts.
Nat Commun
5
, 5871 (2014)
DNA barcoding reveals diverse growth kinetics of human breast tumour subclones in serially passaged xenografts.
Nat Commun
5
, 5871 (2014)
Tumor heterogeneity: next-generation sequencing enhances the view from the pathologist's microscope.
Genome Biol
15
, 463 (2014)
Tumor heterogeneity: next-generation sequencing enhances the view from the pathologist's microscope.
Genome Biol
15
, 463 (2014)
Genome-driven integrated classification of breast cancer validated in over 7,500 samples.
Genome Biol
15
, 431 (2014)
Genome-driven integrated classification of breast cancer validated in over 7,500 samples.
Genome Biol
15
, 431 (2014)
Mobile DNA in cancer. Extensive transduction of nonrepetitive DNA mediated by L1 retrotransposition in cancer genomes.
Science
345
, 1251343 (2014)
Mobile DNA in cancer. Extensive transduction of nonrepetitive DNA mediated by L1 retrotransposition in cancer genomes.
Science
345
, 1251343 (2014)
TITAN: inference of copy number architectures in clonal cell populations from tumor whole-genome sequence data.
Genome Res
24
, 1881-93 (2014)
TITAN: inference of copy number architectures in clonal cell populations from tumor whole-genome sequence data.
Genome Res
24
, 1881-93 (2014)
Up-regulation of the interferon-related genes in BRCA2 knockout epithelial cells.
J Pathol
234
, 386-97 (2014)
Up-regulation of the interferon-related genes in BRCA2 knockout epithelial cells.
J Pathol
234
, 386-97 (2014)
Insulin-like peptide 5 is an orexigenic gastrointestinal hormone.
Proc Natl Acad Sci U S A
111
, 11133-8 (2014)
Insulin-like peptide 5 is an orexigenic gastrointestinal hormone.
Proc Natl Acad Sci U S A
111
, 11133-8 (2014)
Impact of MLL5 expression on decitabine efficacy and DNA methylation in acute myeloid leukemia.
Haematologica
99
, 1456-64 (2014)
Impact of MLL5 expression on decitabine efficacy and DNA methylation in acute myeloid leukemia.
Haematologica
99
, 1456-64 (2014)
TP53 mutation spectrum in breast cancer is subtype specific and has distinct prognostic relevance.
Clin Cancer Res
20
, 3569-80 (2014)
A transgenic mouse model demonstrating the oncogenic role of mutations in the polycomb-group gene EZH2 in lymphomagenesis.
Blood
123
, 3914-24 (2014)
TP53 mutation spectrum in breast cancer is subtype specific and has distinct prognostic relevance.
Clin Cancer Res
20
, 3569-80 (2014)
A transgenic mouse model demonstrating the oncogenic role of mutations in the polycomb-group gene EZH2 in lymphomagenesis.
Blood
123
, 3914-24 (2014)
The Breast Cancer Oncogene EMSY Represses Transcription of Antimetastatic microRNA miR-31.
Mol Cell
54
, 203 (2014)
Processed pseudogenes acquired somatically during cancer development.
Nat Commun
5
, 3644 (2014)
The Breast Cancer Oncogene EMSY Represses Transcription of Antimetastatic microRNA miR-31.
Mol Cell
54
, 203 (2014)
Processed pseudogenes acquired somatically during cancer development.
Nat Commun
5
, 3644 (2014)
PyClone: statistical inference of clonal population structure in cancer.
Nat Methods
11
, 396-8 (2014)
PyClone: statistical inference of clonal population structure in cancer.
Nat Methods
11
, 396-8 (2014)
The breast cancer oncogene EMSY represses transcription of antimetastatic microRNA miR-31.
Mol Cell
53
, 806-18 (2014)
The breast cancer oncogene EMSY represses transcription of antimetastatic microRNA miR-31.
Mol Cell
53
, 806-18 (2014)
Clonal analysis via barcoding reveals diverse growth and differentiation of transplanted mouse and human mammary stem cells.
Cell Stem Cell
14
, 253-63 (2014)
Clonal analysis via barcoding reveals diverse growth and differentiation of transplanted mouse and human mammary stem cells.
Cell Stem Cell
14
, 253-63 (2014)
The omics of triple-negative breast cancers.
Clin Chem
60
, 122-33 (2014)
The omics of triple-negative breast cancers.
Clin Chem
60
, 122-33 (2014)
2013
Solution NMR structure and histone binding of the PHD domain of human MLL5.
PLoS One
8
, e77020 (2013)
Solution NMR structure and histone binding of the PHD domain of human MLL5.
PLoS One
8
, e77020 (2013)
Signatures of mutational processes in human cancer.
Nature
500
, 415-21 (2013)
Signatures of mutational processes in human cancer.
Nature
500
, 415-21 (2013)
TDP1 and PARP1 deficiency are cytotoxic to rhabdomyosarcoma cells.
Mol Cancer Res
11
, 1179-92 (2013)
TDP1 and PARP1 deficiency are cytotoxic to rhabdomyosarcoma cells.
Mol Cancer Res
11
, 1179-92 (2013)
Improving breast cancer survival analysis through competition-based multidimensional modeling.
PLoS Comput Biol
9
, e1003047 (2013)
Improving breast cancer survival analysis through competition-based multidimensional modeling.
PLoS Comput Biol
9
, e1003047 (2013)
Systematic analysis of challenge-driven improvements in molecular prognostic models for breast cancer.
Sci Transl Med
5
, 181re1 (2013)
Systematic analysis of challenge-driven improvements in molecular prognostic models for breast cancer.
Sci Transl Med
5
, 181re1 (2013)
The implications of clonal genome evolution for cancer medicine.
N Engl J Med
368
, 842-51 (2013)
The implications of clonal genome evolution for cancer medicine.
N Engl J Med
368
, 842-51 (2013)
A new genome-driven integrated classification of breast cancer and its implications.
EMBO J
32
, 617-28 (2013)
A new genome-driven integrated classification of breast cancer and its implications.
EMBO J
32
, 617-28 (2013)
2012
DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer.
Genome Biol
13
, R124 (2012)
DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer.
Genome Biol
13
, R124 (2012)
A novel SND1-BRAF fusion confers resistance to c-Met inhibitor PF-04217903 in GTL16 cells through [corrected] MAPK activation.
PLoS One
7
, e39653 (2012)
A novel SND1-BRAF fusion confers resistance to c-Met inhibitor PF-04217903 in GTL16 cells through [corrected] MAPK activation.

Nature
486
, 400-4 (2012)
The landscape of cancer genes and mutational processes in breast cancer.
Nature
486
, 400-4 (2012)
Integrative analysis of genome-wide loss of heterozygosity and monoallelic expression at nucleotide resolution reveals disrupted pathways in triple-negative breast cancer.
Genome Res
22
, 1995-2007 (2012)
Integrative analysis of genome-wide loss of heterozygosity and monoallelic expression at nucleotide resolution reveals disrupted pathways in triple-negative breast cancer.
Genome Res
22
, 1995-2007 (2012)
Quiz page June 2012: kidney failure in an HIV-positive patient.
Am J Kidney Dis
59
, A27-30 (2012)
Mutational processes molding the genomes of 21 breast cancers.
Cell
149
, 979-93 (2012)
The life history of 21 breast cancers.
Cell
149
, 994-1007 (2012)
Quiz page June 2012: kidney failure in an HIV-positive patient.
Am J Kidney Dis
59
, A27-30 (2012)
Mutational processes molding the genomes of 21 breast cancers.
Cell
149
, 979-93 (2012)
The life history of 21 breast cancers.
Cell
149
, 994-1007 (2012)
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups.
Nature
486
, 346-52 (2012)
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups.
Nature
486
, 346-52 (2012)
The clonal and mutational evolution spectrum of primary triple-negative breast cancers.
Nature
486
, 395-9 (2012)
The clonal and mutational evolution spectrum of primary triple-negative breast cancers.
Nature
486
, 395-9 (2012)
Opening Pandora's Box--the new biology of driver mutations and clonal evolution in cancer as revealed by next generation sequencing.
Curr Opin Genet Dev
22
, 3-9 (2012)
Opening Pandora's Box--the new biology of driver mutations and clonal evolution in cancer as revealed by next generation sequencing.
Curr Opin Genet Dev
22
, 3-9 (2012)
JointSNVMix: a probabilistic model for accurate detection of somatic mutations in normal/tumour paired next-generation sequencing data.
Bioinformatics
28
, 907-13 (2012)
JointSNVMix: a probabilistic model for accurate detection of somatic mutations in normal/tumour paired next-generation sequencing data.
Bioinformatics
28
, 907-13 (2012)
Molecular alterations between the primary breast cancer and the subsequent locoregional/metastatic tumor.
Oncologist
17
, 172-8 (2012)
Molecular alterations between the primary breast cancer and the subsequent locoregional/metastatic tumor.
Oncologist
17
, 172-8 (2012)
Recurrent somatic DICER1 mutations in nonepithelial ovarian cancers.
N Engl J Med
366
, 234-42 (2012)
Recurrent somatic DICER1 mutations in nonepithelial ovarian cancers.
N Engl J Med
366
, 234-42 (2012)
Feature-based classifiers for somatic mutation detection in tumour-normal paired sequencing data.
Bioinformatics
28
, 167-75 (2012)
Feature-based classifiers for somatic mutation detection in tumour-normal paired sequencing data.
Bioinformatics
28
, 167-75 (2012)
Nucleic acid quantity and quality from paraffin blocks: defining optimal fixation, processing and DNA/RNA extraction techniques.
Exp Mol Pathol
92
, 33-43 (2012)
Nucleic acid quantity and quality from paraffin blocks: defining optimal fixation, processing and DNA/RNA extraction techniques.
Exp Mol Pathol
92
, 33-43 (2012)
2011
PPM1H is a p27 phosphatase implicated in trastuzumab resistance.
Cancer Discov
1
, 326-37 (2011)
PPM1H is a p27 phosphatase implicated in trastuzumab resistance.
Cancer Discov
1
, 326-37 (2011)
Mll5 is required for normal spermatogenesis.
PLoS One
6
, e27127 (2011)
Mll5 is required for normal spermatogenesis.
PLoS One
6
, e27127 (2011)
Raman microscopy-based cytochemical investigations of potential niche-forming inhomogeneities present in human embryonic stem cell colonies.
Appl Spectrosc
65
, 1009-16 (2011)
Raman microscopy-based cytochemical investigations of potential niche-forming inhomogeneities present in human embryonic stem cell colonies.
Appl Spectrosc
65
, 1009-16 (2011)
High-throughput microfluidic single-cell RT-qPCR.
Proc Natl Acad Sci U S A
108
, 13999-4004 (2011)
High-throughput microfluidic single-cell RT-qPCR.
Proc Natl Acad Sci U S A
108
, 13999-4004 (2011)
Absolute quantification of intracellular glycogen content in human embryonic stem cells with Raman microspectroscopy.
Anal Chem
83
, 6254-8 (2011)
Absolute quantification of intracellular glycogen content in human embryonic stem cells with Raman microspectroscopy.
Anal Chem
83
, 6254-8 (2011)
Retinoblastoma-binding proteins 4 and 9 are important for human pluripotent stem cell maintenance.
Exp Hematol
39
, 866-79.e1 (2011)
Retinoblastoma-binding proteins 4 and 9 are important for human pluripotent stem cell maintenance.
Exp Hematol
39
, 866-79.e1 (2011)
Comprehensive analysis of mammalian miRNA* species and their role in myeloid cells.
Blood
118
, 3350-8 (2011)
Comprehensive analysis of mammalian miRNA* species and their role in myeloid cells.
Blood
118
, 3350-8 (2011)
The testosterone-dependent and independent transcriptional networks in the hypothalamus of Gpr54 and Kiss1 knockout male mice are not fully equivalent.
BMC Genomics
12
, 209 (2011)
The testosterone-dependent and independent transcriptional networks in the hypothalamus of Gpr54 and Kiss1 knockout male mice are not fully equivalent.
BMC Genomics
12
, 209 (2011)
ZNF703 is a common Luminal B breast cancer oncogene that differentially regulates luminal and basal progenitors in human mammary epithelium.
EMBO Mol Med
3
, 167-80 (2011)
ZNF703 is a common Luminal B breast cancer oncogene that differentially regulates luminal and basal progenitors in human mammary epithelium.
EMBO Mol Med
3
, 167-80 (2011)
Somatic mutations at EZH2 Y641 act dominantly through a mechanism of selectively altered PRC2 catalytic activity, to increase H3K27 trimethylation.
Blood
117
, 2451-9 (2011)
Somatic mutations at EZH2 Y641 act dominantly through a mechanism of selectively altered PRC2 catalytic activity, to increase H3K27 trimethylation.

Mod Pathol
24
, 64-81 (2011)
P-cadherin expression as a prognostic biomarker in a 3992 case tissue microarray series of breast cancer.
Mod Pathol
24
, 64-81 (2011)
2010
The orphan adhesion-GPCR GPR126 is required for embryonic development in the mouse.
PLoS One
5
, e14047 (2010)
The orphan adhesion-GPCR GPR126 is required for embryonic development in the mouse.
PLoS One
5
, e14047 (2010)
Synthetic lethality screens reveal RPS6 and MST1R as modifiers of insulin-like growth factor-1 receptor inhibitor activity in childhood sarcomas.
Cancer Res
70
, 8770-81 (2010)
Synthetic lethality screens reveal RPS6 and MST1R as modifiers of insulin-like growth factor-1 receptor inhibitor activity in childhood sarcomas.
Cancer Res
70
, 8770-81 (2010)
ARID1A mutations in endometriosis-associated ovarian carcinomas.
N Engl J Med
363
, 1532-43 (2010)
ARID1A mutations in endometriosis-associated ovarian carcinomas.
N Engl J Med
363
, 1532-43 (2010)
Cooperative signaling between Wnt1 and integrin-linked kinase induces accelerated breast tumor development.
Breast Cancer Res
12
, R38 (2010)
Cooperative signaling between Wnt1 and integrin-linked kinase induces accelerated breast tumor development.
Breast Cancer Res
12
, R38 (2010)
Somatic mutations altering EZH2 (Tyr641) in follicular and diffuse large B-cell lymphomas of germinal-center origin.
Nat Genet
42
, 181-5 (2010)
Somatic mutations altering EZH2 (Tyr641) in follicular and diffuse large B-cell lymphomas of germinal-center origin.
Nat Genet
42
, 181-5 (2010)
Does massively parallel DNA resequencing signify the end of histopathology as we know it?
J Pathol
220
, 307-15 (2010)
Does massively parallel DNA resequencing signify the end of histopathology as we know it?

Breast Cancer Res
11
, R87 (2009)
Human mammary cancer progression model recapitulates methylation events associated with breast premalignancy.
Breast Cancer Res
11
, R87 (2009)
Evolutionary concepts in biobanking - the BC BioLibrary.
J Transl Med
7
, 95 (2009)
Evolutionary concepts in biobanking - the BC BioLibrary.
J Transl Med
7
, 95 (2009)
Mutational evolution in a lobular breast tumour profiled at single nucleotide resolution.
Nature
461
, 809-13 (2009)
Mutational evolution in a lobular breast tumour profiled at single nucleotide resolution.
Nature
461
, 809-13 (2009)
p53: a new kingpin in the stem cell arena.
Cell
138
, 1060-2 (2009)
p53: a new kingpin in the stem cell arena.
Cell
138
, 1060-2 (2009)
Mutation of FOXL2 in granulosa-cell tumors of the ovary.
N Engl J Med
360
, 2719-29 (2009)
Mutation of FOXL2 in granulosa-cell tumors of the ovary.
N Engl J Med
360
, 2719-29 (2009)
Inter-observer reproducibility of HER2 immunohistochemical assessment and concordance with fluorescent in situ hybridization (FISH): pathologist assessment compared to quantitative image analysis.
BMC Cancer
9
, 165 (2009)
Inter-observer reproducibility of HER2 immunohistochemical assessment and concordance with fluorescent in situ hybridization (FISH): pathologist assessment compared to quantitative image analysis.
BMC Cancer
9
, 165 (2009)
Loss of MLL5 results in pleiotropic hematopoietic defects, reduced neutrophil immune function, and extreme sensitivity to DNA demethylation.
Blood
113
, 1432-43 (2009)
Loss of MLL5 results in pleiotropic hematopoietic defects, reduced neutrophil immune function, and extreme sensitivity to DNA demethylation.
Blood
113
, 1432-43 (2009)
Columnar cell lesions, mammographic density and breast cancer risk.
Breast Cancer Res Treat
115
, 561-71 (2009)
Columnar cell lesions, mammographic density and breast cancer risk.
Breast Cancer Res Treat
115
, 561-71 (2009)
Contact


Levers, Switches & Buttons
Fusebox
- A rat king is a term for a number of rats whose tails are intertwined and bound together
- by one of several possible mechanisms, such as entangling material like hair or sticky
- substances like sap. The number of rats joined together varies from a few to as many as 30.
- Historically, the phenomenon is particularly associated with Germany, which produced many
- reported instances. Rat kings occur so rarely that they have sometimes been thought to be
- cryptids, but there are several well-attested modern occurrences. A similar phenomenon
- happens with other small rodents such as forest mice and squirrels.


How could A sweet treat make a pillow look bad? Well, if it's a croissant, that's how. Our top secret dough material makes the pillow extremely tasty, but also more comfortable than a pillow, and it doesn't lose its Feel.
Don't worry about running out of croissant anytime soon, with out biggest version of this model being 200 feet wide! We could probably feed an entire country with this, but instead you get to buy it, sit on it, eat it, and buy it again. No pillow compares.
Why would you ever need a different pillow when you have food and comfort. The 2 R gives you all of those, and so much more. Nothing like a pancake pillow, just better.


- File benchmark_common.hh
- License BSD-3-Clause
- File clean_shared_memory.cpp
- License BSD-3-Clause
- File exceptions.cpp
- License BSD-3-Clause
- File exchange_manager_consumer.cpp
- License BSD-3-Clause
- File exchange_manager_consumer.hpp
- License BSD-3-Clause
- File exchange_manager_demo.cpp
- License BSD-3-Clause
- File exchange_manager_producer.cpp
- License BSD-3-Clause
- File exchange_manager_producer.hpp
- License BSD-3-Clause
- File four_int_values.cpp
- License BSD-3-Clause
- File four_int_values.hpp
- License BSD-3-Clause
- File get_data.cpp
- License BSD-3-Clause
- File main.cpp
- License BSD-3-Clause
- File non_existing_segment.cpp
License BSD-3-Clause
License BSD-3-Clause
License BSD-3-Clause
- File serializable_exchange.hpp
- License BSD-3-Clause
- File serializable_exchange.hxx
License BSD-3-Clause
License BSD-3-Clause
- File set_data.cpp
License BSD-3-Clause
License BSD-3-Clause
License BSD-3-Clause
- File shared_memory.cpp
- License BSD-3-Clause
- File shared_memory.hpp
License BSD-3-Clause
License BSD-3-Clause
- File shared_memory.hxx
- License BSD-3-Clause
- File std_string_vector.cpp
- License BSD-3-Clause
- File stress_get_api.cpp
- License BSD-3-Clause
- File stress_get_raw_boost_efficient.cpp
- License BSD-3-Clause
- File stress_get_raw_boost_inefficient.cpp
- License BSD-3-Clause
- File stress_set_api.cpp
- License BSD-3-Clause
- File stress_set_raw_boost_efficient.cpp
- License BSD-3-Clause
- File stress_set_raw_boost_inefficient.cpp
- License BSD-3-Clause


Product
CRUD any Game, CD or book as induvidual product.
Developer
Self-explanatory subsets of products.
You can qucikly create/attach many products to one developer.
Essential daily tasks and core entities.
Bundle
Key subsets of products. Will be represented directly to the home page.
Publisher
Self-explanatory subsets of products.
Representing and grouping entities.
User and Role
Authorization and Authentication
Helpers
Dummy Data Generation
Find Un-assigned Dev/Pub Products
Force Evict All Caches
Entities helpers and users management.


| I l@ve RuBoard |
14.8 Designing for Reuse and GrowthI admit it: PyErrata may be thrifty, but it's also a bit self-centered. The database interfaces presented in the prior sections work as planned and serve to separate all database processing from CGI scripting details. But as shown in this book, these interfaces aren't as generally reusable as they could be; moreover, they are not yet designed to scale up to larger database applications. Let's wrap up this chapter by donning our software code review hats for just a few moments and exploring some design alternatives for PyErrata. In this section, I highlight the PyErrata database interface's obstacles to general applicability, not as self-deprecation, but to show how programming decisions can impact reusability. Something else is going on in this section too. There is more concept than code here, and the code that is here is more like an experimental design than a final product. On the other hand, because that design is coded in Python, it can be run to test the feasibility of design alternatives; as we've seen, Python can be used as a form of executable pseudocode. 14.8.1 ReusabilityAs we saw, code reuse is pervasive within PyErrata: top-level calls filter down to common browse and submit modules, which in turn call database classes that reuse a common module. But what about sharing PyErrata code with other systems? Although not designed with generality in mind, PyErrata's database interface modules could almost be reused to implement other kinds of file- and shelve-based databases outside the context of PyErrata itself. However, we need a few more tweaks to turn these interfaces into widely useful tools. As is, shelve and file-directory names are hardcoded into the storage-specific subclass modules, but another system could import and reuse their Dbase classes and provide different directory names. Less generally, though, the dbcommon module adds two attributes to all new records (submit-time and report-state) that may or may not be relevant outside PyErrata. It also assumes that stored values are mappings (dictionaries), but that is less PyErrata-specific. If we were to rewrite these classes for more general use, it would make sense to first repackage the four DbaseErrata and DbaseComment classes in modules of their own (they are very specific instances of file and shelve databases). We would probably also want to somehow relocate dbcommon's insertion of submit-time and report-state attributes from the dbcommon module to these four classes themselves (these attributes are specific to PyErrata databases). For instance, we might define a new DbasePyErrata class that sets these attributes and is a mixed-in superclass to the four PyErrata storage-specific database classes: # in new module class DbasePyErrata: def storeItem(self, newdata): secsSinceEpoch = time.time( ) timeTuple = time.localtime(secsSinceEpoch) y_m_d_h_m_s = timeTuple[:6] newdata['Submit date'] = '%s/%02d/%02d, %02d:%02d:%02d' % y_m_d_h_m_s newdata['Report state'] = 'Not yet verified' self.writeItem(newdata) # in dbshelve class Dbase(MutexCntl, dbcommon.Dbase): # as is # in dbfiles class Dbase(dbcommon.Dbase): # as is # in new file module class DbaseErrata(DbasePyErrata, dbfiles.Dbase): dirname = 'DbaseFiles/errataDB/' class DbaseComment(DbasePyErrata, dbfiles.Dbase): dirname = 'DbaseFiles/commentDB/' # in new shelve module class DbaseErrata(DbasePyErrata, dbshelve.Dbase): filename = 'DbaseShelve/errataDB' class DbaseComment(DbasePyErrata, dbshelve.Dbase): filename = 'DbaseShelve/commentDB' There are more ways to structure this than we have space to cover here. The point is that by factoring out application-specific code, dbshelve and dbfiles modules not only serve to keep PyErrata interface and database code distinct, but also become generally useful data-storage tools. 14.8.2 ScalabilityPyErrata's database interfaces were designed for this specific application's storage requirements alone and don't directly support very large databases. If you study the database code carefully, you'll notice that submit operations update a single item, but browse requests load entire report databases all at once into memory. This scheme works fine for the database sizes expected in PyErrata, but performs badly for larger data sets. We could extend the database classes to handle larger data sets too, but they would likely require new top-level interfaces altogether. Before I stopped updating it, the static HTML file used to list errata from the first edition of this book held just some 60 reports, and I expect a similarly small data set for other books and editions. With such small databases, it's reasonable to load an entire database into memory (i.e., into Python lists and dictionaries) all at once, and frequently. Indeed, the time needed to transfer a web page containing 60 records across the Internet likely outweighs the time it takes to load 60 report files or shelve keys on the server. On the other hand, the database may become too slow if many more reports than expected are posted. There isn't much we could do to optimize the "Simple list" and "With index" display options, since they really do display all records. But for the "Index only" option, we might be able to change our classes to load only records having a selected value in the designated report field. For instance, we could work around database load bottlenecks by changing our classes to implement delayed loading of records: rather than returning the real database, load requests could return objects that look the same but fetch actual records only when needed. Such an approach might require no changes in the rest of the system's code, but may be complex to implement. <IP_ADDRESS> Multiple shelve field indexingPerhaps a better approach would be to define an entirely new top-level interface for the "Index only" option -- one that really does load only records matching a field value query. For instance, rather than storing all records in a single shelve, we could implement the database as a set of index shelves, one per record field, to associate records by field values. Index shelve keys would be values of the associated field; shelve values would be lists of records having that field value. The shelve entry lists might contain either redundant copies of records, or unique names of flat files holding the pickled record dictionaries, external to the index shelves (as in the current flat-file model). For example, the PyErrata comment database could be structured as a directory of flat files to hold pickled report dictionaries, together with five shelves to index the values in all record fields (submitter-name, submitter-email, submit-mode, submit-date, report-state). In the report-state shelve, there would be one entry for each possible report state (verified, rejected, etc.); each entry would contain a list of records with just that report-state value. Field value queries would be fast, but store and load operations would become more complex:
Let's take the leap from hypothetical to concrete, and prototype these ideas in Python. If you're following closely, you'll notice that what we're really talking about here is an extension to the flat-file database structure, one that merely adds index shelves. Hence, one possible way to implement the model is as a subclass of the current flat-file classes. Example 14-31 does just that, as proof of the design concept. Example 14-31. PP2E\Internet\PyErrata\AdminTools\dbaseindexed.py############################################################################ # add field index shelves to flat-file database mechanism; # to optimize "index only" displays, use classes at end of this file; # change browse, index, submit to use new loaders for "Index only" mode; # minor nit: uses single lock file for all index shelve read/write ops; # storing record copies instead of filenames in index shelves would be # slightly faster (avoids opening flat files), but would take more space; # falls back on original brute-force load logic for fields not indexed; # shelve.open creates empty file if doesn't yet exist, so never fails; # to start, create DbaseFilesIndex/{commentDB,errataDB}/indexes.lck; ############################################################################ import sys; sys.path.insert(0, '..') # check admin parent dir first from Mutex import mutexcntl # fcntl path okay: not 'nobody' import dbfiles, shelve, pickle, string, sys class Dbase(mutexcntl.MutexCntl, dbfiles.Dbase): def makeKey(self): return self.cachedKey def cacheKey(self): # save filename self.cachedKey = dbfiles.Dbase.makeKey(self) # need it here too return self.cachedKey def indexName(self, fieldname): return self.dirname + string.replace(fieldname, ' ', '-') def safeWriteIndex(self, fieldname, newdata, recfilename): index = shelve.open(self.indexName(fieldname)) try: keyval = newdata[fieldname] # recs have all fields reclist = index[keyval] # fetch, mod, rewrite reclist.append(recfilename) # add to current list index[keyval] = reclist except KeyError: index[keyval] = [recfilename] # add to new list def safeLoadKeysList(self, fieldname): if fieldname in self.indexfields: keys = shelve.open(self.indexName(fieldname)).keys( ) keys.sort( ) else: keys, index = self.loadIndexedTable(fieldname) return keys def safeLoadByKey(self, fieldname, fieldvalue): if fieldname in self.indexfields: dbase = shelve.open(self.indexName(fieldname)) try: index = dbase[fieldvalue] reports = [] for filename in index: pathname = self.dirname + filename + '.data' reports.append(pickle.load(open(pathname, 'r'))) return reports except KeyError: return [] else: key, index = self.loadIndexedTable(fieldname) try: return index[fieldvalue] except KeyError: return [] # top-level interfaces (plus dbcommon and dbfiles) def writeItem(self, newdata): # extend to update indexes filename = self.cacheKey( ) dbfiles.Dbase.writeItem(self, newdata) for fieldname in self.indexfields: self.exclusiveAction(self.safeWriteIndex, fieldname, newdata, filename) def loadKeysList(self, fieldname): # load field's keys list only return self.sharedAction(self.safeLoadKeysList, fieldname) def loadByKey(self, fieldname, fieldvalue): # load matching recs lisy only return self.sharedAction(self.safeLoadByKey, fieldname, fieldvalue) class DbaseErrata(Dbase): dirname = 'DbaseFilesIndexed/errataDB/' filename = dirname + 'indexes' indexfields = ['Submitter name', 'Submit date', 'Report state'] class DbaseComment(Dbase): dirname = 'DbaseFilesIndexed/commentDB/' filename = dirname + 'indexes' indexfields = ['Submitter name', 'Report state'] # index just these # # self-test # if __name__ == '__main__': import os dbase = DbaseComment( ) os.system('rm %s*' % dbase.dirname) # empty dbase dir os.system('echo > %s.lck' % dbase.filename) # init lock file # 3 recs; normally have submitter-email and description, not page # submit-date and report-state are added auto by rec store method records = [{'Submitter name': 'Bob', 'Page': 38, 'Submit mode': ''}, {'Submitter name': 'Brian', 'Page': 40, 'Submit mode': ''}, {'Submitter name': 'Bob', 'Page': 42, 'Submit mode': 'email'}] for rec in records: dbase.storeItem(rec) dashes = '-'*80 def one(item): print dashes; print item def all(list): print dashes for x in list: print x one('old stuff') all(dbase.loadSortedTable('Submitter name')) # load flat list all(dbase.loadIndexedTable('Submitter name')) # load, grouped #one(dbase.loadIndexedTable('Submitter name')[0]) #all(dbase.loadIndexedTable('Submitter name')[1]['Bob']) #all(dbase.loadIndexedTable('Submitter name')[1]['Brian']) one('new stuff') one(dbase.loadKeysList('Submitter name')) # bob, brian all(dbase.loadByKey('Submitter name', 'Bob')) # two recs match all(dbase.loadByKey('Submitter name', 'Brian')) # one rec mathces one(dbase.loadKeysList('Report state')) # all match all(dbase.loadByKey('Report state', 'Not yet verified')) one('boundary cases') all(dbase.loadByKey('Submit mode', '')) # not indexed: load one(dbase.loadByKey('Report state', 'Nonesuch')) # unknown value: [] try: dbase.loadByKey('Nonesuch', 'Nonesuch') # bad fields: exc except: print 'Nonesuch failed' This module's code is something of an executable prototype, but that's much of the point here. The fact that we can actually run experiments coded in Python helps pinpoint problems in a model early on. For instance, I had to redefine the makeKey method here to cache filenames locally (they are needed for index shelves too). That's not quite right, and if I were to adopt this database interface, I would probably change the file class to return generated filenames, not discard them. Such misfits can often be uncovered only by writing real code -- a task that Python optimizes by design. If this module is run as a top-level script, its self-test code at the bottom of the file executes with the following output.  One drawback to this interface is that it works only on a machine that supports the fcntl.flock call (notice that I ran the previous test on Linux). If you want to use these classes to support indexed file/shelve databases on other machines, you could delete or stub out this call in the mutex module to do nothing and return. You won't get safe updates if you do, but many applications don't need to care: try: import fcntl from FCNTL import * except ImportError: class fakeFcntl: def flock(self, fileno, flag): return fcntl = fakeFcntl( ) LOCK_SH = LOCK_EX = LOCK_UN = 0 You might instead instrument MutexCntl.lockFile to do nothing in the presence of a command-line argument flag, mix in a different MutexCntl class at the bottom that does nothing on lock calls, or hunt for platform-specific locking mechanisms (e.g., the Windows extensions package exports a Windows-only file locking call; see its documentation for details). Regardless of whether you use locking or not, the dbaseindexed flat-files plus multiple-shelve indexing scheme can speed access by keys for large databases. However, it would also require changes to the top-level CGI script logic that implements "Index only" displays, and so is not without seams. It may also perform poorly for very large databases, as record information would span multiple files. If pressed, we could finally extend the database classes to talk to a real database system such as Oracle, MySQL, PostGres, or Gadfly (described in Chapter 16). All of these options are not without trade-offs, but we have now come dangerously close to stepping beyond the scope of this chapter. Because the PyErrata database modules were designed with neither general applicability nor broad scalability in mind, additional mutations are left as suggested exercises. |
| I l@ve RuBoard |


b
const ( // Debug for debug logging. Debug = "\x1b[35m" // dark cyan )
Runner runs UseCases. It provide focal point for an assembly of use case tests. Test output is feature based. A flag is available for each category of output.
type Runner struct { // Server is the host and port of a URL. Example: http://localhost:8080 Server string // Base of the URL path. By convention this is usually "/graphql". Base string // ShowComments if true will cause comments to be printed during a run. ShowComments bool // ShowRequests if true will cause request URL and content to be printed // during a run. ShowRequests bool // ShowResponses if true will cause response JSON to be printed during a run. ShowResponses bool // NoColor if true turns off colorized output. NoColor bool // Indent is the number of spaces to indent JSON resonses. If 0 no // modification to responses are made otherwise the JSON is unmarshalled // and re-marshalled with an indentation. Indent int // UseCases to run. UseCases []*UseCase // Writer is an alternate io.Writer that will be used in place of writing // to Stdout when logging if not nil. Writer io.Writer }
func (r *Runner) JSON(indents ...int) []byte
func (r *Runner) Log(color string, format string, args ...interface{})
Log output for one of the categories.
func (r *Runner) Native() interface{}
Native version of the Runner. Used for JSON() which is mostly for debugging.
func (r *Runner) Run() (err error)
Run the usecases.
func (r *Runner) String() string
Step is a step in a use case. Each describes how an HTTP request will be sent to a GraphQL server and what to do with the response.
type Step struct { // Label of the step as a way to refer to the step. Label string // Comment describes the step. Comment string // Path is the path part of the URL that will be used in the request to // the GraphQL server. The path is assumed to be relative to the base URL // unless it starts with a '/' character. Path string // Content is the content when using a POST request. If the Content is not // empty then a POST is used. If it is empty then a GET request is made to // the server. The string should be either GraphQL or the HTTP GET format. Content string // UseJSON if true and a POST request then the JSON format will be used // with a COntent-Type of "applicaiton/json" otherwise the Content will be // sent as GraphQL with a Content-Type of "application/graphql". UseJSON bool // Remember in a series of steps it is often helpful to remember values // from earlier steps. The Remember map describes what to remember and // what key to store that value in. In the map, the keys are the keys for // the memory cache while the Remember map values are the path to the // value to remember. The path is a simple dot delimited path. It is not a // full JSON path (maybe in the future). Remember map[string]string // Op is the operation to include in either the URL query or as a value // for the 'operationName' if using JSON in the Content. Op string // Vars are the variables to be passed along with a GraphQL request. They // are appended to the URL or added to the JSON 'variables' element if the // POST contents is JSON. The values in the Vars map can be either a value // or a string that begines with a '$' which indicates a rmembered value // should be used instead. Vars map[string]interface{} // SortBy are the sort keys for the result. Depending on the // implementation of the GraphQL server, the order of returned objects may // not be consistent. To make it easier to use in testing the SortBy keys // are the paths to arrays while the value for the keys are the attributes // to sort on. SortBy map[string]string // Expect is the expected contents. Like the Content it can be a nil, string, // array, or map. A nil value indicates no checking of the response is // needed. Strings are used mostly for fetched HTML while the normal JSON // responses are converted to a genereric map[string]interface{} and // compared to the Expect value. // // The rules for comparison are: // 1) Any element in the Expect value must be present in the response. // 2) Elements in the response not in the Expect value are ignored. // 3) If the Expect value is a string that starts and ends with a '/' // character the string is assumed to be a regular expression is // matched against the string in the reponse or the response is // converted to a strings using fmt.Sprintf "%v" and then compared. // 4) Maps and arrays are followed recursively. Expect interface{} }
func (s *Step) Execute(uc *UseCase) error
Execute the step using the information in the provided use case such as remembered values and base URL.
func (s *Step) Native() interface{}
func (s *Step) Set(data interface{}) (err error)
UseCase encapsulates a use case composed of multiple steps. The use case can be read from a JSON file in which case the Filepath member will be set.
type UseCase struct { // Comment is the description of the use case. Comment string // Filepath is the path to the file that the use case was read from or // will be written to. Filepath string // Steps are the steps to be taken in the use case. Steps []*Step // contains filtered or unexported fields }
func NewUseCase(filepath string) (uc *UseCase, err error)
NewUseCase creates a new UseCase from a file.
func (uc *UseCase) JSON(indents ...int) []byte
func (uc *UseCase) Native() interface{}
func (uc *UseCase) Run(r *Runner) (err error)
func (uc *UseCase) String() string


Describes a type.
The TypeDesc type is a table that describes a value type. It has the following fields:
Certain categories are treated specially:


After few seconds the canvas bellow should show human sceleton and lymphatic system in 3D. You can rotate, move, zoom scene by lift/right mous click and drag. Gestures are supported on touch screen.
After few seconds the canvas bellow should show kindey


The configuration format defined by 'TOML' (which expands to "Tom's Obvious Markup Language") specifies an excellent format (described at <https://github.com/toml-lang/toml>) suitable for both human editing as well as the common uses of a machine-readable format. This package uses 'Rcpp' to connect the 'cpptoml' parser written by Chase Geigle (in modern C++11) to R.
| Version: | 0.1.5 |
| Depends: | R (≥ 3.3.0) |
| Imports: | Rcpp (≥ 0.11.5) |
| LinkingTo: | Rcpp |
| Published: | 2018-10-31 |
| Author: | Dirk Eddelbuettel |
| Maintainer: | Dirk Eddelbuettel <edd at debian.org> |
| BugReports: | https://github.com/eddelbuettel/rcpptoml/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://dirk.eddelbuettel.com/code/rcpp.toml.html |
| NeedsCompilation: | yes |
| SystemRequirements: | A C++11 compiler; g++ (>= 4.8.*) should be fine. |
| Materials: | README NEWS ChangeLog |
| CRAN checks: | RcppTOML results |
| Reference manual: | RcppTOML.pdf |
| Package source: | RcppTOML_0.1.5.tar.gz |
| Windows binaries: | r-devel: RcppTOML_0.1.5.zip, r-release: RcppTOML_0.1.5.zip, r-oldrel: RcppTOML_0.1.5.zip |
| OS X binaries: | r-release: RcppTOML_0.1.5.tgz, r-oldrel: RcppTOML_0.1.5.tgz |
| Old sources: | RcppTOML archive |
| Reverse imports: | configr |
Please use the canonical form https://CRAN.R-project.org/package=RcppTOML to link to this page.


Jinghong is an undergraduate student majoring in Computer Science and double majoring in Economics at UC San Diego.


Call for Papers
In today's knowledge-driven society, effective access to and use of information is a key enabler for progress. Modern technologies not only are themselves knowledge intensive, but also they produce enormous amounts of new information that we must process and aggregate. These technologies require knowledge capture, which involves the extraction of useful knowledge from vast and diverse online sources as well as its acquisition directly from human experts. Driven by the demands for knowledge-based applications and the unprecedented availability of information on the Web, the study of knowledge capture has a renewed importance.
Researchers who work in the area of knowledge capture traditionally participate in several distinct research communities, including knowledge engineering, machine learning, natural language processing, humancomputer interaction, artificial intelligence, and the Semantic Web. K-CAP 2011 will provide a forum that brings together members of disparate research communities who are interested in efficiently capturing knowledge from a variety of sources and in creating representations that can be useful for automated reasoning, analysis, and other forms of machine processing.
We solicit high-quality research papers for publication and presentation at our conference. Our aim is to promote multi-disciplinary research that could lead to a new generation of tools and methodologies for knowledge capture. K-CAP 2011 follows on the success of five previous conferences in 2009 (California, USA), 2007 (Whistler, Canada), in 2005 (Banff, Canada), in 2003 (Florida, USA), and 2001 (Victoria, Canada), and of the series of Knowledge Acquisition Workshops (KAW), the first of which took place in the same location (Banff, Canada) in 1986. K-CAP 2011 is particularly important in the history of our discipline, as it coincides with the 25th anniversary of the first Knowledge Acquisition Workshop at the Banff Centre.
The Sixth International Conference on Knowledge Capture, K-CAP 2011 will feature Invited Talks, Technical Papers, Workshops, Posters and Demos on a range of topics including:
- Knowledge acquisition tools
- Knowledge authoring tools
- Knowledge extraction systems
- Knowledge management environments
- Knowledge capture for the Semantic Web and the Web of Linked Data
- Collaborative and social approaches to knowledge management and acquisition
- Learning apprentices
- Mixed-initiative planning and decision-support tools
- Acquisition of problem-solving knowledge
- Knowledge-based markup techniques
- Advice taking systems
- Knowledge engineering and modelling methodologies
There will be also a special session in the conference on "25 years of Knowledge Acquisition Research", in which presented papers and invited talks will review advances in the past 25 years in all the aforementioned areas.
Important dates
All deadlines are on 11:59PM Hawaii time.
Technical papers | |
| Paper abstracts due: | |
| Papers due: | |
| Author notification: | |
| Camera-ready copy due: | April 24, 2011 |
Technical Paper Submission Guidelines
Technical papers must be submitted electronically through the EasyChair submissions website. Submissions must be in PDF format.
Microsoft Word users please prepare your paper using the K-CAP Microsoft Word template. LaTeX users please use the K-CAP class file, sigproc-KCAPsample.tex example template file (please follow the instructions contained within when submitting), sigproc.bib example bibtex file used by sigproc-KCAPsample.tex, and example pdf of sigproc-KCAPsample.tex.
Papers must be no more than 8 unnumbered "US-letter" size pages (including references) using a 10-point Times Roman font for the main body text. All material on each page should fit within a rectangle of 18x23.5 cm (7"x9.25"), centered on the page, beginning 1.9 cm (.75") from the top of the page and ending with 2.54 cm (1") from the bottom. The right and left margins should be 1.9 cm (.75"). The text should be in two 8.45 cm (3.33") columns with a .83 cm (.33") gutter. Specific instructions for titles, headings, graphics and tables appear in the template files.
Papers that violate the guidelines may be rejected without review.
Authors will be required to transfer copyright of accepted papers to ACM.


Class: Aws::StorageGateway::Types::CreateStorediSCSIVolumeInput
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
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Class Chain:
self,
Struct
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Instance Chain:
self,
Struct
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| Inherits: |
Struct
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| Defined in: | (unknown) |
Overview
When passing CreateStorediSCSIVolumeInput as input to an Aws::Client method, you can use a vanilla Hash:
{
gateway_arn: "GatewayARN", # required
disk_id: "DiskId", # required
snapshot_id: "SnapshotId",
preserve_existing_data: false, # required
target_name: "TargetName", # required
network_interface_id: "NetworkInterfaceId", # required
}
A JSON object containing one or more of the following fields:
Instance Attribute Summary
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#disk_id ⇒ String
rw
The unique identifier for the gateway local disk that is configured as a stored volume.
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#gateway_arn ⇒ String
rw
The Amazon Resource Name (ARN) of the gateway.
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#network_interface_id ⇒ String
rw
The network interface of the gateway on which to expose the iSCSI target.
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#preserve_existing_data ⇒ Boolean
rw
Specify this field as true if you want to preserve the data on the local disk.
-
#snapshot_id ⇒ String
rw
The snapshot ID (e.g. "snap-1122aabb") of the snapshot to restore as the new stored volume.
-
#target_name ⇒ String
rw
The name of the iSCSI target used by initiators to connect to the target and as a suffix for the target ARN.
Instance Attribute Details
#disk_id ⇒ String
(rw)
The unique identifier for the gateway local disk that is configured as a stored volume. Use ListLocalDisks to list disk IDs for a gateway.
#gateway_arn ⇒ String
(rw)
The Amazon Resource Name (ARN) of the gateway. Use the ListGateways operation to return a list of gateways for your account and region.
#network_interface_id ⇒ String
(rw)
The network interface of the gateway on which to expose the iSCSI target. Only IPv4 addresses are accepted. Use DescribeGatewayInformation to get a list of the network interfaces available on a gateway.
Valid Values: A valid IP address.
#preserve_existing_data ⇒ Boolean
(rw)
Specify this field as true if you want to preserve the data on the local disk. Otherwise, specifying this field as false creates an empty volume.
Valid Values: true, false
#snapshot_id ⇒ String
(rw)
The snapshot ID (e.g. "snap-1122aabb") of the snapshot to restore as the new stored volume. Specify this field if you want to create the iSCSI storage volume from a snapshot otherwise do not include this field. To list snapshots for your account use DescribeSnapshots in the Amazon Elastic Compute Cloud API Reference.
#target_name ⇒ String
(rw)
The name of the iSCSI target used by initiators to connect to the target and as a suffix for the target ARN. For example, specifying TargetName
as myvolume results in the target ARN of arn:aws:storagegateway:us-east-1:111122223333:gateway/sgw-12A3456B/target/iqn.1997-05.com.amazon:myvolume. The target name must be unique across all volumes of a gateway.