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Just a quick heads up that our very own System Center Configuration Manager Support Engineer Vinay Pamnani recently published a great post about how to add a known/unknown computer to a specified collection during OS Deployment. If you haven't seen you'll probably want to check it out:
Have you ever wondered why a ConfigMgr client takes a long time to run the advertised programs after you deploy this client using ConfigMgr OSD? Well, this is because as soon as the machine is imaged, it gets added to the 'All Systems' collection and gets the advertisements/policies that are targeted to the All Systems collection. But what if your advertisements are not targeted to the default All Systems collection, and instead are targeted to a custom query based collection? In that case, the newly imaged machine doesn't get added to the custom collection until it sends the inventory AND the collection updates based on its schedule and finds the machines that fulfill the query condition to add the machine(s) to the collection, and in turn triggering the creation of policies for these clients. Until this happens, there are no Advertisements for this newly imaged client to run(unless of course, they were targeted to the All Systems collection). This is why you may notice a delay of up to 24 hours or more until you see the newly imaged clients processing all the Advertisements that you expect them to execute.
To read more and see the solution visit the following:
J.C. Hornbeck | System Center Knowledge Engineer
The App-V Team blog: http://blogs.technet.com/appv/
The WSUS Support Team blog: http://blogs.technet.com/sus/
The SCMDM Support Team blog: http://blogs.technet.com/mdm/
The ConfigMgr Support Team blog: http://blogs.technet.com/configurationmgr/
The OpsMgr Support Team blog: http://blogs.technet.com/operationsmgr/
The SCVMM Team blog: http://blogs.technet.com/scvmm/
The MED-V Team blog: http://blogs.technet.com/medv/
The DPM Team blog: http://blogs.technet.com/dpm/
The OOB Support Team blog: http://blogs.technet.com/oob/
The Opalis Team blog: http://blogs.technet.com/opalis


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Irony abounds with this Sony ad. Isn't Sony one of the major studios represented by the MPAA? Hmmm… At any rate, here's a page that features direct download links to LOLA. Notice the right side-bar advertisement from Sony. Click on the ad and the user is directed to a Sony website.
Here's another Sony ad on a stream of LOLA. First an ad appears over the screen. Click that and you can watch the movie. On the right is another Sony ad/video. Above are "sponsored ads" provided by Microsoft. Hmmm, the rich just get richer.

subset: commoncrawl


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From Tuesday's comeback WIN over San Diego, Here are:
As I get ready for my return to St. Louis having attended just 1 Mets game during our "Mets Fest 2011: Summer Edition" vacation, I need to give a big thanks to those who offered to pick me up for Saturday's game at Citi Field after my "friend" never showed up or called (still yet to hear a word). First for Mary, whom I should have taken up on her offer from the start, Liz who offered to come and get my sorry ass from Long Island and Beth who came out of left field and offered to get me even though she wasn't even going to the game. THANKS !!!
I also appreciate the sentiments written by other folks who commented on Twitter that it was a shame that I missed the gathering. As I've said all weekend "My Mistake". Hopefully I'll get another chance in the near future to meet those I missed this time.
I was "smart" enough to go to Friday's game and got to meet Christina and Dave which was important to me.
Enough of my nonsense, on to the Mets!
For 2 consecutive nights the New Yorkers gave the Padres leads that lasted into the eighth inning and were able to muster enough late offense to complete comebacks on both nights to bring the club back over the .500 mark on the season despite the losses of Daniel Murphy and Jose Reyes to injury over the weekend.
The team has shown great resiliency for much of the 2011 season and it was no more evident than in these last 2 wins albeit against the lowly Padres.
No more unlikely a hero than Lucas Duda was an integral part of both wins. (Speak up if you have evidence that you thought Duda would be a big part of the 2011 roster).
The Cards returned home for a big series with the Brewers and dropped the opener on Tuesday night in 10 innings as the St. Louis bullpen once again was exposed for its glaring inadequacies as new arrival Octavio Dotel allowed 2 runs after replacing Lance Lynn who left with yet another Cards injury.
The Mets win leaves them at 58-57 still 9 games back in the Wild Card chase while the Redbirds fell to 62-54, 4 back of Milwaukee in the Central and 5-1/2 games behind in the race for the NL's final playoff spot.
The Redbirds continue their series with the Brewers tonight (I'll be back in my usual Busch spot on Thursday night) while the Mets look to continue their Reyes-less winning ways hosting San Diego again.
Stop back here for Mets chat. (I should be en route home and will try to join via phone)
As Always...


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We have two ears and one mouth, so we should listen more than we say.
~Zeno of Citium
Millions of people are struggling for access to high quality financial and professional services. Due to cost considerations, most people tend to resort to mass produced cookie-cutter DIY (Do It Yourself) solutions that often do not address their unique challenges and needs. Not many people are even aware of the relationship between the success of their organizations and that of their communities. ATG provides a paradigm shift to this mindset by demonstrating how communities can be empowered through the provision of world-class professional accounting and advisory services.
"To empower communities by providing a full range of professional financial services at the most cost-effective rates that address our clients' unique challenges and needs."
ATG provides world-class professional services to businesses, organizations and individuals who are passionate about positively impacting their communities.
At ATG, we believe the reason that we do what we do is more important than what we do. We believe that our clients and partners are successful because of our commitment to helping them to impact their communities.
We value Integrity, Our People and their communities, Teamwork, Stewardship and Innovation for unique solutions.
We strive to think outside of the box to provide unique solutions
Integrity and ethical behavior underpins everything that we do
Our people and their communities is the reason we exist
Working together to achieve shared goals is our hallmark
We protect our partners' assets as we do our own
We have two ears and one mouth, so we should listen more than we say.
~Zeno of Citium
The company without a strategy is willing to try anything.
~Michael Porter
Discovery consists not in seeking new landscapes, but in having new eyes.
~Marcel Proust
I was very pleased with the service I received from ATG. Compared to the tax company I dealt with in the past; ATG is fast, reliable, and dependable.
~T. cain, Greensboro


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Spontaneous Togetherness Blog
Just after DLD celebrated the 10 year anniversary of the Huffington Post, the next panel celebrated the 10 week anniversary of the live streaming app Meerkat, the app that has launched into the stratosphere just a few months ago. Near the end of February Rubin, one person in San Francisco, and eight more in Israel had six experiments they were working on as they found themselves halfway through the 4 million dollars that were invested in them. One of these experiments, Meerkat, was completed in eight weeks and then launched on the site Product Hunt. Since then, their community on the app and their presence at the SXSW festival has put an astounding amount of attention on the app.
Rubin reflected that people understand what a good photo looks like. For the past 120 years or so we have been working with both analog and digital photography and it is clear as to what great photos from not great photos look like. But, nobody knows what a good live stream looks like. We are just starting the vocabulary of "that is a good stream."
One of the biggest discussions surrounding Meerkat is that the live streaming takes place via Twitter. Recently, Twitter has launched their own live streaming service Periscope, and has removed Meerkat's access to their graph. Hempel asks Rubin if knowing that he would be pulled from Twitter, if it was the right thing to launch on there, and Rubin quickly responded with, "you would probably talk to someone else if we didn't do it that way." Rubin explained that it was the right decision to launch on Twitter, and that the only thing they did wrong is the amount of time they gave Meerkat notice.
But regardless of the chaos and drama of the competitive Silicon Valley landscape, Meerkat sees a bright future ahead. They have just launched a developer API, and slowly they plan to release requests to their servers to the developer community. More broadly, Meerkat wishes to change the way people interact with each other virtually. Because everyone walks around with connected cameras and screens, people feel comfortable with the virtual culture. "This is the first time the content of video is changing materially, it's no longer video, but participatory media where audience is taking part in watching the content, and the audience is the content."


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|<< Back
|Amazon Echo Coming to Thousands of Retail Locations Across the U.S.
In time for the holiday shopping season, customers will be able to
find Amazon Echo at their favorite stores, including The
Echo is designed around your voice and it's always ready, connected, and fast—just ask for music, information, news, weather, and more from across the room and get answers instantly
"Amazon Echo is a must-have gift this holiday season, and we're excited
to work with retailers across the country to make Echo available to
their customers," said
"Our customers continue to show interest in smart home products across
the many categories we carry. One of our newest products, Amazon Echo,
is a smart device that helps make connected home easy and fun," said
"Staples.com launched Amazon Echo several months ago and the product has
been well received by our customers," said
"We're thrilled to have Amazon Echo in select Brookstone stores this
holiday season," said Brookstone CEO
Amazon Echo is hands-free and always ready, and with seven microphones and beam-forming technology, it can hear you from across the room—even while music is playing. Alexa—the brain behind Echo—is built in the cloud, so it's always getting smarter. Echo offers hands-free voice control for information from Wikipedia and the web, weather, timers and alarms, news, shopping/to-do lists, and much more. Additional capabilities include:
Amazon Echo is currently available for
View source version on businesswire.com: http://www.businesswire.com/news/home/20151110005499/en/
Amazon.com, Inc.


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So much for blogging more frequently 🙂 Time flies! I have NEW patterns out:
All the images go to my dot com, but I have Etsy as well: GQHPatternsandKits
I made a quick barrette a few weeks ago before starting my secret project.
This was a secret project for Mirrix for a while. It took me a good length of time to accomplish!
Now for things finished for fun or custom orders. Barrettes first 🙂 To see all my hair goodies go HERE
Cuffs I have made: to see ALL my cuffs go to my dot com HERE
I think that is all I have for right now. I have lots of items to add to my website.
In lieu of the upcoming holidays, if you would like to do a 'layaway' plan with any of my finished jewelry, drop me an email and we can discuss what works best for you.
Off to create! I promise I will start making regular updates again. It has been a crazy year in many ways.


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The main role of the assembly is to scrutinise the activities of the mayor. Its 25 members, made up of 14 constituency members and 11 list AMs, have one key sanction – to approve or block the mayor's budget, which they must do with a two-thirds majority.
Another role of the assembly is to investigate matters of importance to Londoners, such as the July 7 bombings, the Olympic Games and safety at suburban rail stations.
The mayor must consult the assembly when preparing his strategies, inform them of all major decisions, and attend 10 question time sessions each year at which he and members of the administration can be questioned about their actions.
Assembly members have a say in the appointment of senior London roles, such as the chair and deputy chair of Transport for London and the London Development Agency, and the chair and vice chair of the Metropolitan police.
Though they can oppose certain appointments, their recommendations to the mayor are non-binding.
The assembly claims a number of achievements over its four-year term. These include:
Reducing Londoners' council tax bill by £40m through close scrutiny of the mayor's budgets for the police, transport, fire services and development in the capital.
Forcing the mayor to reveal that £370K had been spent on flights for himself and his staff between April 2004 to December 2006.
A one-year campaign by the Assembly's Transport Committee which succeeded in getting the congestion charge contract with Capita published.
A report on how London reacted to the July 7 London bombings, which has resulted in improved communications between the emergency services and better support for survivors and bereaved people following major incidents.
An Assembly Budget Committee report on the poor take-up of Oyster cards among low-income groups, which prompted the mayor and Transport for London to offer free Oyster cards to 100,000 people.
A Transport Committee report on safety at suburban rail stations, which led the mayor to announce extra funding for British Transport police officers.


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Getting rid of: cheese, aubergine, raisins
This is, seriously, one of the best meals I made 2007! Nigella Lawson´s Feast is a book I leaf through at least every other week, just to enjoy her excellent writing and compensate myself during hard times for not having time to cook or having parties.
When I came home in late November after a particularly hard day at work I reminded myself that I a) had two large aubergines lying about in the fridge from the veggie box b) should grab the opportunity to make something proper even on a Tuesday. Involtini is maybe not the thing you should attack under these circumstances, but the name kept floating up in my brain all the way home and since I had most of the ingredients I simply jumped to the task. Nigella´s recipes are never scary - that helped! But do make sure you have a sandwich or some nibbles on hand before you start off - this will take you at least an hour! Count in that when you are finished and the involtini has cooled enough to eat you will remember nothing from your hard day at work, it is all obscured behind a joyful time of cooking!
Here is Nigella´s recipe (for those of you who has not yet got the book) with my own tweaks and changes
2-3 large aubergines cut lengthwise in thin slices
1500 grams tomato passata (I used less, see below)
200 grams mozzarella (I used leftover filling)
100 grams crumbled feta cheese
100 grams mozzarella
25 grams grated parmesan (I didn´t have any mozzarella in the house so instead I scraped together 225 grams of other mixed cheeses; feta cheese, another excellent salad cheese from Jarseost, and parmesan)
75 grams pine nuts (I used chopped walnuts or almonds if I remember correctly)
50 grams raisins, soaked in hot water for 10 minutes
4 tbsp olive oil
2 tbsp breadcrumbs
1 garlic clove, crushed or finely chopped
zest from 1 lemon
a good pinch of dried mint
2 tpsb parsley
1 egg
Brush the aubergine slices on both sides with olive oil and grill them until soft and nicely patterned, I used my beloved cast iron grill pan for this. Put aside and let it cool.
Mix everything for the filling in a bowl, yes, raisins too. I was soo sceptical to these raisins! I am not a huge fan of Fruit in Food you see, and warm raisins are...yeurgh... But I decided to stick to the recipe the best I could and go with the raisins which really was t-a-s-t-y, surprise surprise. In the meantime I decided to make a cooked tomato sauce instead of just using passata, because I had so many odd aubergine slices and some old onions and whatnot in the fridge. I simply chopped it all up, sautéed in olive oil, poured in a packet of passata and let it boil with some dried thyme, salt, pepper and a pinch of sugar while I made the involtini. Put about a tablespoon of filling on each aubergine slice and roll it up firmly. Put in an ovenproof dish. When all the slices was gone I put the rest of the cheese filling in the tomato sauce and poured it over the involtini, and then baked in 190C oven for 25-30 minutes. The involtini should be served lukewarm according to Nigella, or cold - all but boiling hot from the oven! That way you will be able to really taste everything in these marvellous little rolls.
January 14, 2008
8 comments:
If you meet someone like you but in male, single version send him my way, pronto! Involtini on a Tuesday night just like that, mmm.
- 11:12 pm
- Steve said...
I give up, what's an "aubergine?
- 11:35 pm
- Maria Abrahamsson said...
Steve: aubergine=eggplant
- 3:09 pm
- Steve said...
Thanks, Maria.
- 4:25 am
- Rachael said...
That sounds so delicious and unusual! I will have to give it a try...
- 7:32 pm
- Foodfreak said...
this really looks delicious, now if only my hubby would eat cheese... (or raisins fwiw) :-)
- 8:40 am
Hi Anna, all I need is a stamp and an address and I'm on my way!
Oh yeah, I guess I should be wrapped in a paper involtini. He he he
- 10:14 pm
I leave out the raisins and the mint!
- 2:16 pm
Subscribe to: Post Comments (Atom)


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Republicans are asking voters a basic question about Democratic proposals to overhaul the nation's health care system: "Will this improve your life?"
October 26, 2009
GOP: Health Reform Negatively Impacts Life
August 2, 2008
Throughout the 2008 election, the question that's been raised is whether Barack Obama can pass the Commander in Chief Test… well, we think it's only fair that both candidates be put to the test.
June 16, 2008
Barack Obama's Speech on Father's Day
Barack addressed the congregation at the Apostolic Church of God in Chicago, IL on June 15, 2008. Although the speech is very inspiring I don't see a reason for Barack to address irresponsible fathers. The speech would have been a lot better with the focus on good and caring fathers.
It is a speech for Father's Day after all!
June 11, 2008
Fox Ambushes Bill Moyers
At the National Conference for Media Reform 2008. Fox personality Bill O'Reilly producer, Porter Barry ambushes PBS Bill Moyers to pepper him with questions regarding his political affiliations and his "refusal" to appear on O'Reily's show. Moyers disputes Fox's "facts."
Uptake Political Correspondent Noah Kunin was nearby and obtained this raw video.
June 7, 2008
Hit And Run Caught On Video
Here is a video that stirred the viewers on Youtube. It is a video of incident that took place in Hartford, Connecticut and all the cars were driving around the poor man, they obviously knew that he was there, and all the people just stood there and talked amongst themselves, as he was laying there not moving at all.
January 28, 2008
Montel turns the tables on a Fox Morning Television show
Montel Williams turned the question on live television when he choose to focus on the solders dying in Iraq.
January 17, 2008
Time Warner to test Internet billing based on usage
The second largest U.S. cable operator said it will test consumption-based billing with subscribers in Beaumont, Texas later this year as a part of a strategy to help reduce congestion of its network by a minority of consumers who pay the same monthly fee as light users more.
Let's hope this doesn't go national with netflix almost daily and w/ video games.
December 7, 2007
Björk – Declare Independence
Björk – Declare Independence
November 27, 2007
October 25, 2007
Apple Says iPhone Complies With Eco Standards
Apple Says iPhone Complies With Eco Standards. Apple responds to a Greenpeace report published Monday that says iPhone earphone wiring contains environmentally hazardous chemicals.


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Do all couples get bored of their monotonous lives eventually? Or are there are circumstances that bring distance and ignorance between them?
Naimat is a story of Sara and Babar; who were a happily married couple, but the surprises of life brings a reason for them to get distant. The trouble in their happy life begins, when they learn that their 5 year old son Bilal is suffering from a serious heart disease; and since then taking care of Bilal becomes the ultimate reason of Sara's life. Her full attention towards Bilal eventually develops into the reason of her ignorance toward Babar.
Due to this ignorance Babar falls in love with another girl named Zara. But would this affair satisfy or haunt him for the rest of his life?
Director: Abdullah Badini
Writer: Naila Ansari
Watch 'Naimat' Every Monday at 8:00 pm only on ARY Digital.If you have missed any of the episodes watch them here.


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We can work it out
So if you fall out with someone you do business with, you have to sue them, right? Wrong, or at... Read More
Some do's and don'ts of settlement negotiations
When you're asked to think about a form of Alternative Dispute Resolution (ADR), an option that... Read More
How to avoid claims against your company
Commercial claims are an unfortunate fact of life for most businesses. They can be stressful and... Read More
This blog is intended only as a synopsis of certain recent developments. If any matter referred to in this blog is sought to be relied upon, further advice should be obtained.


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I posted a "comix response" to a killing of a gay man by a cop on nyc.indymedia and this is some art that I think needs to be seen as well, to add to that piece.
Archive for September 2010
Further piece in the 'comix response to cop killing of gay man'September 7, 2010
new visionary comix zine now available: radical's radical silliness and D'Myst'Fy t.v. with surprise ending!September 4, 2010
A new hand-made, self-published radical's radical comix series shows itself in a new series called "D'Myst'Fy t.v." via "Pleasure Power Comix". Approximately 20 pages long, full of original, "beneath the underground" art(e) and depth not found in 99.9 % of comix today!
Masked Racism on CBC's "Afghanistan" radio showSeptember 4, 2010
Art(e) response to a recent blatantly racist CBC radio propaganda broadcast, sheds light to realities. First page that is part of a new comix series called "D'Myst'Fy t.v. (hopefully to include video as well in time!)


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Monday, July 20, 2009
because you loved me
saturday night i went out and dancedancedanced. sunday i slept in (had to sleep off all that mad dancin') then got a coffee and headed to central park for the weardrobe meetup. about 20 yards from the red balloons i got really nervous and realized how strange it might be to meet all these people who know more about my life than my own mother (sad and probably true). i needn't have worried. yes, it was weird to be instantly recognized when i walked up - but everyone was so sweet and friendly and i had a really great time. was it surreal? absolutely, but also so satisfying to finally put real faces to the names i see and hear all the time. a special hiya to christine, jenni, and martina, whom i spent most of the time gabbing with.
pamela from market publique was also there, and afterwards she and i headed into williamsburg and got dinner with her husband john at bozu. i couldn't have asked for better company and the food was amazing (even if it wasn't REAL sushi. wink.) it was a long day, so after that i headed home and went to bed.
dress: urban outfitters
belt: thrifted
hat: some trashy store in greenpoint
shoes: etsy
necklace: ebay
balloon: weardrobe meetup :-)
woke up at the crack of dawn this morning and got a coffee on the way to work. i really love waking up early enough that it is cool outside and i can get a hot coffee and sip it to stay warm on the way to the train. anyhow. got to work, made a couple of pies, and came back home and caught up with kt, who'd been way too far away all weekend. came downstairs and found a package waiting by the door - the second half of my birthday present from my favorite person on earth (who just happens to be my boyfriend [awwww, ewww. i know]) sam. in addition to the greatest present of all time. . .
(this guy)
he sent THE CRAYON RINGS. I KNOW. he reads. he pays attention. he gets it. hi sam. you're the best.
along with a foodie magazine. mwah.
haha, and now you can see what i look like after pitting 5 bags of cherries. what you don't see is the grime of vanilla bean seeds trapped underneath my fingernails and in my cuticles. FUN FACT! why are vanilla beans so expensive? it's because when they are farmed (not grown in the wild, but actually planted and cultivated,) they don't get pollinated as they do when they grow on their own. as a result, a farmer has to go around every morning and fake-bee the plants, pollinating each one by hand. it's quite a process. thus $10 beans. (for more on this, listen to the planet money podcast on NPR. i am a hopeless NPR nerd and this show is really informative but still interesting and great.) so i am messy, but at least it's delicious (and expensive) mess.
i guess that's all from me for now. have a lovely monday!
xo audrey
7 comments:
holy shit, those crayon rings are EPIC.ReplyDelete
wow, you blog is a new favorite! I love how you write. those rings and the bike are amazing!ReplyDelete
- AnonymousJuly 20, 2009 at 4:50 PM
THE CRAYON RINGS!!!!!! I'm so jealous!ReplyDelete
hey, I absolutely love the bike! My boyfriends mum has one in her garden a bit like that, that I have been allowed to have. Its rusty and needs new wheels and seat and everything but I am going to do it up! I have a bit of an obsession with vintage/vintage style bikes(Especially when they have wicker baskets on the front!) Anyway I haven't posted a comment before but while I am here, just want to say I really like reading your blog! Have a good week!ReplyDelete
omgomgomgomg CRAYON RINGS!!!ReplyDelete
Also, LOVE the giant hat. LOVE. it.
I'm so excited about this post...CRAYON RINGS! You're right; your bf is the best.
I love the rings! i kept one of the balloons too-ReplyDelete
quite a hassle in the subway...
Your ride is absolutely amazing! It will make you the happiest lady in the world! I just got one too, and i suppose it's a birthday present, since I used my birthday money for it.ReplyDelete
But those crayon rings are might spectacular as well!
Fun blogg!
Have a very merry nice day!


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For Suzanne Somers, it was a very bad week. After previously denying on the Tonight show that she had ever posed nude for Playboy's centerfold, the February issue was on the stands with 10-year-old audition shots for the magazine's Playmate feature. There was the Three's Company blonde, at 22, thigh-high in a Mexican stream wearing only a thin gold chain and a tense expression. Ace Hardware Corp., which pays Somers $200,000 a year as its pitchwoman, prissily wrote all dealers that it had "decided to cease using any advertising featuring Ms. Somers" at least temporarily. Her position as national chairman of the Easter Seal campaign also seemed in jeopardy. Then two days later, by grim coincidence, the Easter Seal Poster Girl, Jeanette Alvarado, 8, was wounded in a random shooting incident in San Antonio. Somers phoned her in the hospital to say she looked forward to Jeanette's recovery and hoped they'd be meeting at the annual telethon soon. It didn't look good for either.
Yet by the end of the harrowing week Alvarado had ail but recovered, Ace had forgiven Somers her youthful indiscretion (undoubtedly benefiting from the windfall publicity), and she was backed up by the Easter Seal Foundation. Suzanne still had been stripped painfully of her public modesty, and perhaps a few illusions. "I've tried so hard to be a good person," she sighed, "but now they're bringing up things out of context in my life. It makes me want to cry."
Not long before, Somers had been confronted by Barbara Walters on national TV with her ancient topless photos that had run in High Society magazine. Those pictures, Suzanne explained (as well as her much-reported bad-check charges), dated from a tumultuous period in the late '60s when she was living precariously as a model. She was divorced, and her young son, Bruce, now 14, had been struck by a car. His spleen was torn, and hospital bills totaled $20,000. "She didn't do nude layouts to publicize herself," insists manager Jay Bernstein. "She was trying to survive."
Photographer Stan Malinowski hired her for an assignment in Mexico in 1970, but only for a swimsuit ad. He mentioned, though, that selection as Playboy's nude Playmate of the Month would pay $3,000 (now $10,000), and Suzanne agreed to do the test. She was chosen in 1971 but "chickened out" just before the full-undress photo session. In gleeful text accompanying its current layout, Playboy says that Suzanne's test photos were then forgotten until Malinowski casually mentioned them to an editor some months ago. Malinowski claims they actually surfaced when Playboy sued him for nonpayment of debts and, in a counter-claim, he demanded the return of his transparencies (the suit has since been resolved). In any case, Somers has never received a penny for the pictures, while Playboy expects record sales for its February issue (at $2.50 per).
Suzanne was "very, very hurt and embarrassed," and husband Alan Hamel, a Canadian talk-show host, was "furious" at Playboy, according to manager Bernstein. Otherwise Somers was saying next to nothing. It was left to Easter Seal executive director John Garrison to sum up the obvious: "What happened 10 years ago shouldn't be a factor."


text:
Please Read the Following
We hear you, and we're here for you. If you are willing to take 5 minutes of your time to read the following few paragraphs of useful information, you will find information that is designed to be helpful to you and help make the decision process easier for whatever landscaping needs you may have. We recommend you browse through the whole site prior to calling us.
Welcome to Mansfield Landscaping! We are your Central Florida coast to coast landscaping center, serving 12 Central Florida counties and dozens of cities including The Villages® community, Ocala, Gainesville, Leesburg, Orlando, Apopka, Lake Mary, Daytona Beach, Lakeland and Tampa. We are a residential landscaping contractor specializing in upgrading existing lawn and landscape areas as well as new construction and add-on landscaping to new pools, additions and renovations. If you are looking for someone to mow your lawn or pull weeds, then you've got the wrong landscaper.
Our nursery and showroom is located at 8440 CR 48 in Yalaha (25 minutes south of The Villages® community, 5 minutes from Leesburg, 30 minutes north of Orlando), and is open Tuesday through Saturday 9am-3pm. Our office hours and free estimates are given 7 days a week, 8am-8pm.
We want to give a special "shout out" to The Villages® community, the largest retirement community in the United States. We currently do 1 out of 5 after-market jobs completed in The Villages® community, and that's a big reason why we built our outdoor showroom and landscaping retail nursery. If you come see us, you will find over 2,500 palm trees and ornamentals, as well as over 25,000 plants. We also have simulated landscape design areas on our over 2 acre outdoor showroom. You will find decorative rocks on display, decorative stacked wall areas, flagstone, patios, water features both in and out of the ground, and much more!
Read this help information BEFORE YOU CALL AND SAVE 15% on all services approved at time of estimate. We take pride in offering you the best we have to offer; therefore, we make it a requirement for you to read the information below that is very helpful and will answer many questions that you may have before you call us. This will help us expedite turning your beautiful landscaping dreams into a reality! Please read and then ask us about our 15% discount and $50 in free plants just for stopping by! (Certain restrictions apply. Call for details.)
We like to spend 10 to 15 minutes on the phone with anyone interested in getting landscaping work done or looking for an estimate. It takes less time if you just want to browse our nursery and showroom or to purchase materials. We make this a requirement, and by the end of the conversation you can obtain a free estimate either at your home, through email, or at our nursery and showroom. Email and in home estimates are available 7 days a week. Estimates never take more than 1-2 days and most jobs start within 3-10 days. We NEVER require a deposit. We guarantee your happiness or we will take everything back and you will owe us nothing (obviously, before you pay us; there are no refunds available.)
Remember, pictures are worth a thousand words and we've sold thousands of jobs on the web and at our nursery and showroom just by looking at your pictures. If we see the picture, it's just like we are standing in your yard.
After we talk, we will answer any and all questions you have and will be glad to provide an additional service where you can email pictures and comments. We will be glad to work with you through email and pictures, or in person at your home, or at our nursery and showroom. At the end of our conversation, we will give you an authorization code that will allow you to email us pictures of your property through our Contact form.
At the end of the 10 to 15 minute conversation, what will you have learned?
- How we do estimates. Through email, at your home, or at our nursery and showroom. You will learn that you will receive a 15% discount as long as you give us the job at the time of the estimate. All estimates are given at the time that we meet with you.
- How you can reach us and find out more about us if you would like more information. We will also be glad to give you addresses of our customers so you can see our work and find out what kind of experience they had with Mansfield Landscaping.
- The four questions we need answered prior to giving anyone an estimate.
- We discuss budgets and will give you a ballpark figure on what you can expect to pay. We don't care what you spend, and will never try to get you to spend money you don't need to. We will give you an exact written estimate. We will also give you a care sheet on how to take care of your landscaping once it's completed to maintain its beauty.
We prefer to specialize in low maintenance, cold hardy landscaping.
By thoroughly browsing our website, you will see that we do many new and innovative landscape projects, as well as traditional and old school landscaping.
Our services include stack and decorative walls and borders, patios, pavers, fire pits, in-ground and above-ground water features, palm trees, ornamental trees, bushes, all types of plants, mulch, landscaping and landscaping design. We also do resodding and cleanups!
We are located within 1 hour of everywhere we work and are well worth the visit! Bring us your pictures and you can get an estimate and design on the spot! No appointment is necessary, but it is helpful if you would like an estimate.


text:
"I'm not a fan of most morning buns, even La Farine's. Morning buns are usually too something … crispy, sweet, sugared, intense," says rworange. But she's finally found the perfect morning bun for her taste, at Hopkins Street Bakery. It's a very balanced bun—soft yet flaky, yeasty, and with "a delicate dusting of sugar and cinnamon." You can get it with or without cranberries, and with or without heat. All variations are wonderful.
Some folks don't like the bombolini, but meemster loves 'em. They're very fresh tasting, with spongy doughnut dough and tender custard. Also great: pumpkin muffins with chocolate chips.
"I love Hopkins–I think there's something about the combination of the aroma and the old-fashioned screen door that always takes me back to the bakery of my childhood," says Nina.
Hopkins Street Bakery [East Bay]
1584 Hopkins Street, Berkeley
Board Link: Berkeley–Hopkins Street Bakery's morning buns and more


text:
On Thu, Jan 06, 2005 at 08:49:13PM +0200, Jukka K. Korpela wrote: > On Thu, 6 Jan 2005, T.B. van der Molen wrote: > > 0. Is <li /> correct XHTML 1.1 (and correct XHTML 1.0 Strict)? > Yes, but not recommended, since you should use the notation only for > elements with EMPTY declared content. The XHTML 1.0 spec (section 4.3) says: All elements other than those declared in the DTD as EMPTY must have an end tag. Elements that are declared in the DTD as EMPTY can have an end tag or can use empty element shorthand (see Empty Elements). I can't find anything to contrict this in the XHTML 1.1 spec. So doesn't this mean that <li /> is incorrect (although valid) XHTML 1.1? -- David Dorward http://dorward.me.ukReceived on Friday, 7 January 2005 09:19:22 UTC
This archive was generated by hypermail 2.3.1 : Tuesday, 1 March 2016 14:17:44 UTC


text:
I'm reading The Museum of You, by Carys Bray. I really loved her first novel, A Song for Issy Bradley and she is also a local writer. The copy I have is a publisher's proof and it feels quite special, a sneak preview before the official date of publication (June 16th in the UK).
Her first novel, A Song for Issy Bradley is the story of Claire, a mother who loses her baby and most of her faith in God. Claire's husband Ian is a good Mormon elder who is ill prepared to understand what is happening in his family. His wife takes to her bed and his teenage daughter Zippy falls in love for the first time. In the process she begins to unravel some of the double standard inherent in relationships generally and in church life particularly. Whilst this is going on his youngest son Jacob is hoping for the miracle that will put everything right and their rebellious older son, Alma, finds his own miracle in the most surprising place. The final scene takes place on the beach not far from where I live and it caused some interesting discussions at home because my husband and I both interpreted the outcomes differently. But maybe that is one indicator of a really good read …
The second novel promises to me good like the first, though it was a little slow to pick up pace. I'm only 100 pages into The Museum of You and so far I'm totally convinced and engaged by the main character Clover Quinn and her mission to put together a museum style exhibit on the mother she never knew. I'm particularly intrigued that so much of the novel is set locally, with detail of streets and locations that are familiar to me on a daily basis. Not something I'm used to in a novel and frankly a rather unusual fiction reading experience.
When it comes to knitting I'm mainly making baby cardigans. They seem to bring so much pleasure to me and others. I think this is my sixth this year. I stick with white and love using vintage patterns that various lovely people have passed on. When I finish this one I'm planning on something a different; maybe a light shawl in some exquisite yarn or a summer cardigan in pink cotton (for me).
PS. I just noticed that an audio book of Issy Bradley is currently available from Amazon in both the UK and the US for free. Can't recommend it highly enough!
Today I'm joining a link up with other knitters and reader, hosted by Ginny Sheller of the exquisitely photographed blog Small Things.


text: Check out this REVOLUTION RISING compilation that just got dropped. And check out the star studded cast of globalists on the playlist: Asian Dub Foundation, State of Bengal, Swami, Cheb i Sabbah, Karsh Kale, MIDIval Punditz, Niraj Chag, The Nasha Experience, Makyo, Genetic DruGs, Transglobal Underground, GOONDA, Jahcoozi, Jalebee Cartel, Nuphlo, Rohan, Shiva Soundsystem, Sub Swara, The Arch Cupcake, Vishal Vaid + many more! Goddamn! we were lucky enough to score a preview of the thing in the shape of this great mp3 right here:


text:
*click for much larger
Many thanks to Syd Bird for sending me this rather old photograph of a Meols farm.
Syd says it's Arch Farm which used to be located just about on the junction nowadays to Guffitts Rake from Dovepoint Road. I know this part of Meols very well but I'd never have guessed that there used to be a farm there.
What more can you tell me about Arch Farm? And there's a bonus point for telling me how Guffitts Rake got it's name.


text:
Locate Your Watershed:
This web page provides an overview of watershed for given locations in the District of Columbia.
Locate information related to an address by using one of two location types shown below:
Search Results
We could not find an exact match for your location search. Here are the closest results available.
this part is left for search results
Location Types
STREET ADDRESS: An adress consists of a street number, a street name, and a quadrant (NE, NW, SE, SW). The address number and street name are required. Every address in the MAR as also been assigned an AID# (Address Identification Number) which can be used to retrieve additional data about that address.
Example: 441 4th ST NW
Example: 441 4th ST NW
PLACE NAME: A place name consists of common place names and public/institutional building names.
Example: "The White House" or "Dupont Circle" or "The Capitol"
Example: "The White House" or "Dupont Circle" or "The Capitol"


text:
We are a Bristol based digital agency, working since 1996 with local authorities, charities, government departments and the commercial sector.
Our work helps our clients provide services, publish information, communicate more effectively and generate revenue.
what we do
Why a website accessibility checklist could work for you
There was so much excitement around the invention of the world wide web, an online platform everybody could go to for information, to communicate and so much more. If ...


text:
Everybody Hates Rejection
Everybody Hates Rejection was the first episode of the second season of Everybody Hates Chris. It was the 23rd overall. It premired on October 1, 2006.
SHORT SUMMARY: When Keisha moves away, Chris prepares for his first date with a new girl from the neighborhood. Meanwhile, a nosy new neighbor (Whoopi Goldberg) moves in next door and pressures Rochelle to organize a neighborhood watch patrol. After volunteering to be a crossing guard, Drew has girls all over him.
To watch the full episode click HERE
page revision: 2, last edited: 17 Apr 2010 19:35


text:
- Research
- Open Access
Breast cancer prediction using genome wide single nucleotide polymorphism data
- Mohsen Hajiloo1, 2,
- Babak Damavandi1, 2,
- Metanat HooshSadat1, 2,
- Farzad Sangi1, 2,
- John R Mackey3,
- Carol E Cass3,
- Russell Greiner†1, 2 and
- Sambasivarao Damaraju†4, 5Email author
© Hajiloo et al; licensee BioMed Central Ltd. 2013
- Published: 1 October 2013
This paper introduces and applies a genome wide predictive study to learn a model that predicts whether a new subject will develop breast cancer or not, based on her SNP profile.
We first genotyped 696 female subjects (348 breast cancer cases and 348 apparently healthy controls), predominantly of Caucasian origin from Alberta, Canada using Affymetrix Human SNP 6.0 arrays. Then, we applied EIGENSTRAT population stratification correction method to remove 73 subjects not belonging to the Caucasian population. Then, we filtered any SNP that had any missing calls, whose genotype frequency was deviated from Hardy-Weinberg equilibrium, or whose minor allele frequency was less than 5%. Finally, we applied a combination of MeanDiff feature selection method and KNN learning method to this filtered dataset to produce a breast cancer prediction model. LOOCV accuracy of this classifier is 59.55%. Random permutation tests show that this result is significantly better than the baseline accuracy of 51.52%. Sensitivity analysis shows that the classifier is fairly robust to the number of MeanDiff-selected SNPs. External validation on the CGEMS breast cancer dataset, the only other publicly available breast cancer dataset, shows that this combination of MeanDiff and KNN leads to a LOOCV accuracy of 60.25%, which is significantly better than its baseline of 50.06%. We then considered a dozen different combinations of feature selection and learning method, but found that none of these combinations produces a better predictive model than our model. We also considered various biological feature selection methods like selecting SNPs reported in recent genome wide association studies to be associated with breast cancer, selecting SNPs in genes associated with KEGG cancer pathways, or selecting SNPs associated with breast cancer in the F-SNP database to produce predictive models, but again found that none of these models achieved accuracy better than baseline.
We anticipate producing more accurate breast cancer prediction models by recruiting more study subjects, providing more accurate labelling of phenotypes (to accommodate the heterogeneity of breast cancer), measuring other genomic alterations such as point mutations and copy number variations, and incorporating non-genetic information about subjects such as environmental and lifestyle factors.
- Breast Cancer
- Feature Selection
- Sporadic Breast Cancer
- Gail Model
- Breast Cancer Dataset
Cancer is a complex disease, characterized by multiple molecular alterations triggered by genetic, environmental and lifestyle effects. Cancer cells typically accumulate alterations disrupting the cell's life cycle of growth, proliferation, and death [1]. Genomic changes that can eventually lead to cancer include mutations (<1% in frequency), single nucleotide polymorphisms (SNPs, >1% in frequency), insertion and deletion polymorphisms and structural changes in chromosomes. SNPs are the most common type of inherited genomic variation and recent advances in high-throughput technologies have led to whole-genome SNP arrays; datasets of such profiles over many subjects provide a valuable way to discover the relationship between SNPs and diseases such as cancer [2].
A genome wide association study (GWAS) compares the SNP profiles, over a wide range of SNPs, of two groups of participants: e.g., people with the disease (cases) versus people without the disease (controls). Each individual SNP whose values are significantly different between these groups (typically based on chi-square test between the values observed for the two groups) is said to be associated with the disease [3]. Of course, the resulting associated SNPs even those with high statistical significance using genome-wide corrections for multiple hypothesis testing are at best proxies for truly causal information, which can only be obtained through further deep sequencing of the associated loci and well-designed appropriate wet-lab studies. The database of Genotypes and Phenotypes (dbGaP) archives and distributes the results of studies that have investigated the interaction of a genotype and phenotype in GWASs [4]. However, while GWASs can help the researchers better understand diseases, genes and pathways, they are not designed to predict whether a currently undiagnosed subject is likely to develop the disease.
This paper introduces Genome Wide Predictive Studies (GWPSs), which take the same input as a GWAS (the SNP arrays for a set of subjects, each labelled as a case or a control) but outputs a classification model that can be used later to predict the class label of a previously undiagnosed person, based on his/her SNP profile. The field of machine learning provides a variety of statistical, probabilistic and optimization techniques that allow computers to learn such classifiers from these datasets of labelled patients. Machine learning has been applied successfully in many areas of biology and medicine, often to produce effective predictors. Baldi and Brunak [5], Larranga et al. [6], Tarca et al. [7], Cruz and Wishart [8] each surveyed various applications of machine learning in biology, including gene finding [9], eukaryote promoter recognition [10], protein structure prediction [11], pattern recognition in microarrays [12], gene regulatory response prediction [13], protein/gene identification in text [14], and gene expression microarray based cancer diagnosis and prognosis [8]. We consider a way to learn a predictor ("who has breast cancer?"), for a dataset that specifies all available SNPs about each subject.
Our "genome wide" approach differs from research that attempts to learn predictors from only a pre-defined set of candidate SNPs. As an example of such a candidate SNP study, Listgarten et al. [15] applied a machine learning tool (support vector machine, SVM) to a pre-defined set of 98 SNPs, distributed over 45 genes of potential relevance to breast cancer, to develop a predictive model with 63% accuracy for predicting breast cancer. Ban et al. [16] applied a SVM to analyze 408 SNPs in 87 genes involved in type 2 diabetes (T2D) related pathways, and achieved 65% accuracy in T2D disease prediction. Wei et al. [17] studied type 1 diabetes (T1D) and reported 84% area under curve (AUC) using an SVM.
Our approach also differs from the conventional risk modeling/prediction studies. Those studies also begin with a small set of pre-defined features: they first sort the training subjects into a small set of bins, based on the values of these features e.g., the Gail model uses 7 features and record the percentage in each bin with the phenotype (here breast cancer) [18, 19]. Afterwards, to estimate the risk a new subject will face, this tool uses the subject's values for those relevant features to sort that subject into the proper bin, and returns the associated probability (called risk). Hence this approach bases its assessment on only a small number of pre-specified features. Note this might not be sufficient to usefully characterize the subjects, especially if the hand-picked features are not adequate. On the other hand, our machine learning (ML) approach lets the data dictate on the possible combination of features that are relevant. (While the ML model described in this paper returns a specific prediction for the individual here breast cancer or not there are other ML models that will return the probability that the individual will have the disease P(disease | feature_values), which is basically risk). Our general goal is to develop a tool to help screen women, by predicting which of the apparently healthy subjects sampled in a population will eventually develop breast cancer. This cannot be done by gene expression-based microarray analyses, as those results require biopsies of tissues from organs or tumours, which means they are only relevant to individuals with suspect tissues; hence they are not effective at identifying individuals at risk in a general population, before the onset of the disease, and so cannot be used for our early detection. The standard breast cancer risk assessment model (the Gail model [18, 19], described above) is designed to help with early detection; however, it has only limited clinical value. Note that researchers recently extended this Gail model by including 7 or 10 SNPs associated with breast cancer susceptibility (from GWASs); however, this led to only marginally improved accuracy [20, 21].
This paper presents a method to learn, from a dataset containing genome-wide SNPs of a cohort of subjects (cases and controls), a classifier that can predict whether a new subject is predisposed to the phenotype of breast cancer. (Note this classifier differs from the Gail model, as it can assign each individual subject to a label, potentially based on all of the features describing that subject.) We describe the challenges of addressing this high-dimensional data and show that a learner is capable of producing a classifier that can identify, with 59.55% accuracy, whether the subject has breast cancer, based only on her SNP profile. While this might not be clinically relevant, this performance is statistically significantly better than the baseline (of just predicting the majority class), which demonstrates that (1) there is information relevant to breast cancer in a patient's SNP values (note our method uses only SNPs, but not demographic data, nor other environmental data) and (2) that today's machine learning tools are capable of finding this important information.
A trivial classifier, which just predicts the majority class (here control), will be 321/623 = 51.52% accurate. The challenge is producing a classifier that uses subject SNP data to produce predictions that are significantly more accurate. In particular, we explored tools that use the given labelled dataset to find the patterns that identify breast cancer (i.e., case versus control). Fortunately, the field of machine learning (ML) provides many such learning algorithms, each of which takes as input a labelled dataset, and returns a classifier. These systems typically work best when there are a relatively small number of features typically dozens to hundreds but they tend to work poorly in our situation, with over half-a-million features; here, they will often over-fit [24]: that is, do very well on the training data as they find ways to fit the details of this sample, but in a way that does not work well on the subjects that were not part of the training dataset. Note that our goal is to correctly classify such novel (that is, currently-undiagnosed) subjects. We therefore apply a pre-processing step to first reduce the dimensionality of the data, by autonomously identifying a subset of the most relevant SNPs (features). We then give this reduced dataset to a learning algorithm, which produces a classifier [25]. We later discuss how to evaluate the classifier produced by this "feature selection + learning" system.
Feature Selection
over the dataset D = C ∪ H where C is the set of subjects known to have cancer (each labelled as case) and H is the remaining healthy subjects (each labelled as control), and using Expr(i,j) as the value of the i'th SNP of subject j, is the mean value of the i'th SNP over the subset H (the controls) and is the mean value of the i'th SNP over the subset C (the cases). Note this MeanDiff(SNPi, D) score will be 0 when SNPi is irrelevant and presumably larger for SNPs that are more relevant to our prediction task. Here, we decided to use the m = 500 SNPs with the largest MeanDiff values; see the summary information of these top 500 MeanDiff selected SNPs in Additional file 1: Appendix1.
Learning Parameter Selection
Notice the KNN learning algorithm requires us to specify how many neighbors to consider the k mentioned above. Which value should we use i.e., should we use k = 1 (i.e., consider only the single nearest neighbor), or k = 3 or k = 5 or...? It is tempting to set k by: running 1-NN on the data, then determining the apparent error (using leave-one-out cross validation see below), then computing the error associated with 3-NN, then 5-NN, and so forth; and finally selecting the value k ∈ {1, 3, 5, 7} that produces the smallest error. Unfortunately, this would mean finding a relevant parameter based on its score on the full set of training data, which corresponds to testing on the training data. That is, the k-value that optimizes that score might not be the one that produces the best performance on novel subjects, as the value determined in this fashion can lead to serious over-fitting.
We therefore need a more elaborate method, BestKNN, to determine the appropriate values for this parameter. Here, BestKNN first divides the training data into r = 10 disjoint subsets, D = D1 ∪... ∪Dr, then for each i = 1..r, defines D-i=D - Di as the complement of Di, and lets Ci1 be the 1-NN classifier that is trained on D-i. For each i, the Ci1 classifier uses the m SNPs that have the best MeanDiff(., D-i) scores, based on the D-i dataset. As D-i is different from D-j when i≠j, the m SNPs used by Ci1 will typically be different from the m SNPs used for Cj1. BestKNN then computes the accuracy, acc(Ci1, Di), of this Ci1 classifier over Di ie, over data that it was not trained on. It then computes the average accuracy over all r different folds, which is an estimate of how well 1-NN would work over the complete dataset D. BestKNN similarly computes score (3,D) based on 3-NN, and score(5,D), etc., for k∈{1, 3, 5, 7}, then uses the high-watermark as the appropriate value of k. Here, using r = 10 folds, it found k* =7 worked best for our dataset (note this requires computing the top m SNPs, then running the resulting KNN, for 4×10 different datasets; the only purpose of all of this work is to find this k* value). BestKNN then defines the final classifier based on the top m SNPs over the entire dataset, using this specific k* =7 value.
The next challenge is estimating the quality of the classifier, C623 = BestKNN(D623) the classifier produced by running BestKNN (which involves the m best MeanDiff SNPs), on our 623 subject cohort D623. Here we use two strategies to evaluate our classification algorithm: (1) by using Leave-One-Out Cross Validation (LOOCV) strategy and (2) by using an external hold-out (validation) dataset.
First, we use the LOOCV strategy, which first runs the BestKNN algorithm to produce a classifier based on N-1 = 622 training subjects (of the dataset with N=|D|=623 subjects), which is then tested on the 1 remaining subject. We ran these processes N times, so that every subject is used one time as the test dataset. We estimate the true accuracy of C623 as the percentage of correctly classified subjects, over these 623 folds. Producing this estimate means running all of BestKNN 623 more times which, recall, each involves computing the top m SNPs for 40+1 different configurations. Some earlier researchers mistakenly ran their feature-selection process over the entire dataset D, and then committed to these features for all folds of the cross-validation process. Unfortunately, this gives inaccurate (overly optimistic) estimates [27–29]. On our task, we found that this incorrect process suggests that the resulting classifier has an apparent accuracy of over 90% -- which is considerably above its true accuracy of around 60% (see below).
Second, we used an external validation dataset of 2287 subjects (1145 breast cancer cases and 1142 controls) from the Cancer Genetic Markers of Susceptibility (CGEMS) breast cancer project [30]. Genotyping profiles for these subjects were generated using Illumina HumanHap550 (I5) array platform (555,352 SNPs on the array).To date, this is the only publicly available dataset related to a genome wide association study of breast cancer, which is on Caucasian population set.
Confusion matrix for comparison of actual and predicted labels on 623 breast cancer study subjects
Predicted Label
Actual Label
Confusion matrix for comparison of actual and predicted labels on 2287 CGEMS breast cancer dataset
Predicted Label
Actual Label
Accuracy of a dozen of different combinations of feature selection and learning methods
Feature Selection Methods
Information Gain
Learning Methods
Decision Tree
List of breast cancer associated SNPs reported by recent genome wide association studies
dbSNP ID
Hunter et al., 2007 [30]
Hunter et al., 2007 [30]
Hunter et al., 2007 [30]
Hunter et al., 2007 [30]
Hunter et al., 2007 [30]
Hunter et al., 2007 [30]
Easton et al., 2007 [37]
Easton et al., 2007 [37]
Easton et al., 2007 [37]
Easton et al., 2007 [37]
Easton et al., 2007 [37]
Murabito et al., 2007 [38]
Murabito et al., 2007 [38]
Murabito et al., 2007 [38]
Stacey et al., 2007 [39]
Gold et al., 2008 [40]
Gold et al., 2008 [40]
Gold et al., 2008 [40]
Gold et al., 2008 [40]
Gold et al., 2008 [40]
Stacey et al., 2008 [41]
Stacey et al., 2008 [41]
Thomas et al., 2008 [42]
Thomas et al., 2008 [42]
Thomas et al., 2008 [42]
Thomas et al., 2008 [42]
Ahmed et al., 2009 [43]
Ahmed et al., 2009 [43]
Our study confirms that SNPs do carry information related to breast cancer genetic susceptibility, and that GWPSs are a promising tool for decoding and exploiting this information. While this approach is theoretically applicable for studying other cancer types and diseases, we list below some of the potential limitations that may make it difficult to produce more accurate prediction models, for breast cancer or other diseases:
Small sample size vs. large feature size: As noted earlier, as the number of subjects in this study is significantly less than the number of SNPs (a few hundred instances versus half a million features), we face high-dimensionality problem, which can cause the learning systems to over-fit i.e., produce models that perform well on the training subjects but relatively poorly on new subjects distinct from those used for training. Two categories of techniques that attempt to tackle high-dimensionality are feature selection and sample integration. This report shows feature selection produces a classifier whose accuracy is significantly above baseline. Sample integration involves increasing the number of subjects in the study by either collecting more instances or by combining the dataset with other existing datasets, perhaps from different laboratories. However, there are still many significant challenges here, including dealing with batch effects [46].
Breast cancer heterogeneity: Breast cancer is biologically heterogeneous: current molecular classifications based on transcriptome-wide analysis, clinical determinations of steroid hormone receptor (like ER) status, human epidermal growth factor receptor 2 (HER2) status, or proliferation rate status (PR), all suggest a minimum of four distinct biological subtypes [47]. Our current dataset ignores the differences by merging these different sub-classes into the single label: case. We might be able to produce a more accurate predictor if we employed more detailed labelling of sub-cases, to produce a classifier that could map each subject to a molecular subtype. However, as our dataset is relatively small, further stratification of cases into subtypes of breast cancer might add to the high-dimensionality problem.
SNPs are only one form of genomic alterations: While this study considered only SNPs, there are also many other heritable genetic factors including mutations, copy number variations (CNVs), and other chromosomal changes. We believe that augmenting the SNP data with additional genetic information, such as insertion/deletion polymorphisms and CNVs, could lead to more accurate breast cancer predictive models. Of course, as this means using yet more features, this could also increase the risk of over-fitting.
Breast cancer is also influenced by non-genetic factors: Heritable factors are only part of the issue: while they play a major role in monogenic diseases such as haemophilia, diseases such as tuberculosis and lung cancer have a very high environmental and life style component, meaning genetic component contributes only a small amount to overall risk. Indeed, for many of diseases, the genetic component accounts for only 30-60% of the risk, with the remaining risk due to environmental and life style risk factors. There are many factors that contribute to developing breast cancer, in addition to heritable (DNA based) changes. The major environmental and lifestyle risk factors include age, estrogen exposure (from endogenous and exogenous sources), smoking, radiation exposure, obesity, and lifestyle in general [48]. As the breast cancer predictive model presented here used only germline DNA, it did not incorporate any of these non-genetic variables. We anticipate better results from a comprehensive model that includes both genetic and non-genetic factors.
We present a genome wide predictive study as a way to understand, and effectively use, data from multiple single nucleotide polymorphisms. We first contrast this approach with the more standard associative studies, connecting this predictive approach directly with screening and personalized health care. We also show that it differs from the risk model (such as Gail) as our model can involve a large number of characteristics for each patient (here, hundreds of SNPs).
Our studies confirmed the feasibility of predicting breast cancer susceptibility from genome wide analysis of SNPs, by presenting a learning model that first uses the MeanDiff feature selection technique to identify the best subset of (m = 500) SNPs from the over-500K SNPs of the original dataset, then used k-nearest neighbour (with the k learned using an appropriate algorithm) as the classifier over these SNPs. Leave- one-out cross validation estimates the prediction accuracy of this proposed method to be 59.55%. A random permutation test indicated that this result is significantly better than the baseline predictor (p < 0.01). Sensitivity analysis on performance of our classifier showed that our model is robust to the number of MeanDiff-selected SNPs. We externally validated our learning algorithm using 2287 subjects from the CGEMS breast cancer dataset; this again produced a classifier whose LOOCV accuracy was significantly better than the baseline, which shows the reproducibility of our combination of MeanDiff and BestKNN in breast cancer prediction.
To better understand the challenge of this dataset, we systematically explored a large variety of other feature selection and learning algorithms. We found that none of the biologically naïve approaches to feature selection worked as well as our MeanDiff. We also considered many biologically-informed methods to select SNPs using SNPs reported in the literature to be associated with breast cancer, SNPs associated with genes of KEGG's cancer pathways, and SNPs associated with breast cancer in the F-SNP database. However, those SNPs produced classifiers that were not even better than baseline. These negative findings suggest the challenge of our task, and of the importance of findings of our study.
We also identified several limitations that may hinder a more accurate predictive model for breast cancer susceptibility. Sporadic breast cancer is a heterogeneous phenotype, which is also heavily influenced by environmental factors. Moreover, while our study does involve 623 samples, this is small relative to the number of features (SNPs) from a whole genome scan; we expect to achieve yet better results given a larger sample sizes. Furthermore, we anticipate developing better predictive models by incorporating other information both other genetic information (such as point mutations, copy number variations, and other structural chromosome changes using next generation sequencing) as well as environmental and lifestyle factors. The fact that our study produced statistically significant results, despite these limitations, demonstrates the potential of this machine learning approach in this context of screening, and of personalized patient care.
We thank Mr. Bret Hoehn, Ms. Nasimeh Asgarian, Dr. Badan Sehrawat, and Dr. Yadav Sapkota for discussions and help with the data preparation. We sincerely thank Dr. Paula Robson from the Tomorrow Project of the Alberta Health Services, Alberta for discussions and for providing data for our GWAS studies. This study is funded by the Faculty of Medicine & Dentistry/Faculty of Science Interdisciplinary Graduate Studentship Award, University of Alberta (to MH); Natural Sciences and Engineering Research Council and Alberta Innovates Centre for Machine Learning (to RG); Alberta Cancer Foundation, Canadian Breast Cancer Foundation- Prairies/NWT region, Alberta Innovates-Health Solutions funding support for the Alberta Cancer Research Biorepository/CBCF-Tumor Bank (to SD and CEC); Canadian Breast Cancer Foundation- Prairies/NWT region for financial support through operating grants (to SD and JRM). We acknowledge dbGaP of NCBI for providing us access to the Cancer Genetic Markers of Susceptibility (CGEMS) breast cancer dataset.
RG provided the cost for the publication of this article.
This article has been published as part of BMC Bioinformatics Volume 14 Supplement 13, 2013: Selected articles from the 9th Annual Biotechnology and Bioinformatics Symposium (BIOT 2012). The full contents of the supplement are available online at http://www.biomedcentral.com/bmcbioinformatics/supplements/14/S13
Authors' Affiliations
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This article is published under license to BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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Bathhouse Betty
|Bathhouse Betty
|Studio album by
|September 15, 1998
48:27 (Japan)
|Warner Bros.
|Arif Mardin, David Foster, Ted Templeman, Brock Walsh, Marc Shaiman, Chuckii Booker
|Bette Midler chronology
|Singles from Bathhouse Betty
|Professional ratings
|Review scores
|Robert Christgau
Bathhouse Betty is the ninth studio album by the American singer Bette Midler, released in 1998. Bathhouse Betty was Midler's debut album for Warner Bros. Records, after having parted ways with sister label Atlantic Records in 1995 following the moderate commercial success of her later-platinum certified album Bette of Roses.
The title of the album, Bathhouse Betty, refers to Midler's early career when she performed her cabaret shows at gay bathhouses like the Continental Baths in New York which led to her becoming a gay icon with a loyal LGBT following ever since. When Midler promoted the album she said in an interview "Despite the way things turned out [with the AIDS crisis], I'm still proud of those days [when I got my start singing at the gay bathhouses]. I feel like I was at the forefront of the gay liberation movement, and I hope I did my part to help it move forward. So, I kind of wear the label of 'Bathhouse Betty' with pride."[1]
Released some twenty-five years after Midler's breakthrough with the album The Divine Miss M, Bathhouse Betty was musically a comeback and a return to her roots and her high camp Mae-West-meets-the-Andrews-Sisters stage persona of the same name. The second single "I'm Beautiful Dammitt!"—in fact not an original but a remake of a song by house music group Uncanny Alliance—even opens with the spoken line "This is the Divine Miss M and I'm here to share with you some rare and stimulating insight about my cosmic fabulosity!" and effectively set the tone for the following album.
"Ukulele Lady", a tribute to Midler's native Hawaii which she had first performed live in the 1997 TV special Diva Las Vegas, is an old evergreen written by Gus Kahn and Richard A. Whiting, published in 1925 and first made famous by Vaughn De Leath—and later covered by among others Miss Piggy on The Muppet Show. Other cover versions on Bathhouse Betty include early girl group classics like Patti LaBelle and the Bluebelles' debut single "I Sold My Heart to the Junkman" and 1950's R&B chanteuse Big Maybelle's "One Monkey Don't Stop No Show", the latter featuring swing-rock band Royal Crown Revue. Contemporary covers include Ben Folds' tragicomic "Boxing", an imagined monologue by Muhammad Ali, originally featured on Ben Folds Five's 1995 self-titled debut album, Dave Frishberg's "I'm Hip" and Dick Gallagher and Mark Waldrop's "Laughing Matters", taken from Howard Crabtree's 1996 gay musical revue When Pigs Fly. "Big Socks", an original written and produced by Chuckii Booker, is a tongue-in-cheek contemporary R&B track whose lyrics debate the supposed correlation between the size of men's feet and other body parts; "Don't brag about your body, baby, and say that you're packin' a lot, 'cause all I see besides your big feet is that you got big socks."
Bathhouse Betty was not all campiness and laughs; the album opens with the ballad "Song of Bernadette" written by Leonard Cohen, Bill Elliott and Jennifer Warnes, and first recorded by Warnes on her 1987 album Famous Blue Raincoat. The title and the lyrics of the song refer to Bernadette Soubirous, a young French girl in the mid-19th century who claimed to have seen the Virgin Mary on several occasions. Bernadette was subsequently declared insane by the villagers of Lourdes, but canonized by the Catholic Church and proclaimed Saint Bernadette after her death. "Lullaby in Blue", which Midler described as her personal favourite on the album, was co-written by Leonard Cohen's son Adam and is a song about a woman who gave up a child for adoption: "I've never heard a pop song about a person who gives their child up and is missing the child... The first time I heard that song, I burst into tears."[2] The first single released from the album was the melancholy "My One True Friend", composed by David Foster, Carole King and Carole Bayer Sager and the lead song from the movie One True Thing which starred Meryl Streep and William Hurt.
One track from the Bathhouse Betty sessions, Julie Gold's "Heaven", was only released as a single B-side and featured as a bonus track on the Japanese edition of the album. Gold had previously written Midler's 1990 hit single "From a Distance".
Bathhouse Betty reached number 32 on the Billboard 200; "My One True Friend" reached number 16 on the Adult Contemporary chart. Meanwhile, "I'm Beautiful", which featured dance remixes by among others Victor Calderone, Danny Tenaglia and composer Brinsley Evans himself, was a major dance-floor hit, becoming a number 1 on the Hot Dance Club Play chart and number 8 on Hot Dance Music/Maxi Singles Sales.
Track listing[edit]
- "Song of Bernadette" (Leonard Cohen, Bill Elliott, Jennifer Warnes) - 3:46
- "I'm Beautiful" (Brinsley Evans) - 3:55
- "Lullaby in Blue" (Adam Cohen, Brock Walsh) - 5:09
- "Ukulele Lady" (Gus Kahn, Richard Whiting) - 3:34
- "I'm Hip" (Bob Dorough, Dave Frishberg) - 2:44
- "I Sold My Heart to the Junkman" (Leon René, Otis René) - 3:10
- "One Monkey Don't Stop No Show" (Rose Marie McCoy, Charlie Singleton) - 2:46
- "Boxing" (Ben Folds) - 4:26
- "Big Socks" (Chuckii Booker) - 3:51
- "That's How Love Moves" (Jennifer Kimball, Ty Lacy, Fitzgerald Scott) - 3:54
- "My One True Friend" (David Foster, Carole King, Carole Bayer Sager) - 3:49
- "Laughing Matters" (Dick Gallagher, Mark Waldrop) - 3:54
- "Heaven" (Julie Gold) (bonus track, Japan only) - 3:29
- Bette Midler - lead vocals, background vocals
- Katreese Barnes - background vocals
- Margaret Dorn - background vocals
- Petra Haden - background vocals
- Ula Hedwig - background vocals
- Natalie Jackson - background vocals
- Johnny Kemp - background vocals
- Ivan Matias - background vocals
- Michelle Matlock - background vocals
- Eddie Nichols - background vocals
- Chuckii Booker - background vocals, multi instruments
- Gregg Bissonette - drums
- Daniel Glass - drums
- Rick Marotta - drums
- Lewis Nash - drums
- John "J.R." Robinson - drums
- Steve Schaeffer - drums
- Frank Pagano - percussion
- Emil Richards - percussion
- Richard Crooks - Spoons
- Jerry Barnes - bass guitar, background vocals
- Matt Bissonette - bass
- Nathan East - bass
- Veikko Lepisto - bass
- Ron Carter - upright bass
- Chuck Domanico - acoustic bass
- James Achor - guitar
- Dennis Budimir - guitar
- Tim Pierce - guitar
- Michael Thompson - guitar
- Ira Siegel - guitar, pedal steel
- Jay Berliner - ukulele
- Eric Weissberg - ukulele
- Brock Walsh - banjo
- Robbie Kondor - mandolin
- Dean Parks - dulcimer, acoustic guitar, mandolin, balalaika, electric guitar
- Cyrus Chestnut - piano
- Greg Hilfman - piano
- Carole King - piano
- Randy Waldman - piano
- Kim Bullard - keyboards
- David Foster - keyboards
- Randy Kerber - keyboards
- John Philip Shenale - keyboards
- Steve Skinner - organ, keyboards
- Warren Luening - trumpet
- Jack Sheldon - trumpet
- Scott Steen - trumpet
- Bob Efford - saxophone
- Richard Mitchell - saxophone
- Roger Neumann - saxophone
- Mando Dorame - tenor saxophone
- Bill Ungerman - baritone saxophone
- Les Benedict - trombone
- James Self - tuba
- Richard Todd - French horn
- Arif Mardin - record producer, musical arranger
- Marc Shaiman - producer, arranger
- David Foster - producer, arranger
- Ted Templeman - producer
- Chuckii Booker - producer, arranger, engineer
- Brock Walsh - producer, arranger
- Michael O'Reilly - producer, engineer
- Carole King - arranger
- Steve Skinner - arranger
- Bill Schneider - arranger
- Bill Ungerman - arranger
- Brad Dechter - arranger
- Kim Bullard - arranger
- Claus Trelby - engineer
- Jason Mauza - engineer
- Rod Michaels - engineer
- Alejandro Rodriguez - engineer
- Al Schmitt - engineer
- Lee Herschberg - engineer
- Andy Grassi - engineer
- Steve Griffen - engineer
- Humberto Gatica - engineer
- Felipe Elgueta - engineer
- Cary Butler - engineer
- Jeff Hendrickson - engineer, mixing
- Kevin Clark - engineer, mixing
- Dana Jon Chappelle - engineer, mixing
- David Koenig - mixing
- Frank Filipetti - mixing
- Gloria Gabriel - production manager
- Nick Vidar - production assistant
- Dave DePalo - production assistant
|Chart (1998)
|Australia (ARIA)[3]
|Canada Top Albums/CDs (RPM)[4]
|German Albums (Offizielle Top 100)[5]
|Japanese Albums (Oricon)[6]
|US Billboard 200[7]
Certifications and sales[edit]
|Certified units/Sales
|United States (RIAA)[8]
*sales figures based on certification alone
- ^ "Bette Midler". Houston Voice. 23 October 1998.
- ^ Newman, Melinda (1998-09-05). "Midler makes Warner Bros. debut with 'Bathhouse Betty'". Billboard. 110 (36): 15–16.
- ^ Ryan, Gavin (2011). Australia's Music Charts 1988–2010. Mt. Martha, VIC, Australia: Moonlight Publishing.
- ^ "Top RPM Albums: Issue 7062". RPM. Library and Archives Canada. Retrieved 30 December 2017.
- ^ "Offiziellecharts.de – Bette Midler – Bathhouse Betty" (in German). GfK Entertainment Charts. Retrieved 30 December 2017.
- ^ "Bette Midler ベット・ミドラー - Japan - Albums - Bathhouse Betty バスハウス・ベティ". Oricon (in Japanese). オリコン. Archived from the original on 2013-02-18. Retrieved 2012-08-08.
- ^ "Bette Midler Chart History (Billboard 200)". Billboard. Retrieved 30 December 2017.
- ^ "American album certifications – Bette Midler – Bathhouse Betty". Recording Industry Association of America. Retrieved 30 December 2017. If necessary, click Advanced, then click Format, then select Album, then click SEARCH.


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I have started to capture Battlefield 3 and creating videos on YouTube. Most of them have been with my fellow Battlefield friends (8t88 and Morph). Below is the first conquest related video.
UOF Map Pack 4 [Low Poly] Released.
The UOF team pooled its efforts once again building maps with Low Poly in mind. These maps are the culmination of many months of intense work with a focus on custom content. We're happy to share this work with the community on this our fourth map pack! We hope you enjoy our maps!
Please visit the UOF or Epic thread for more information and download links. Here is a preview of the maps.
Blender 2.65 Released
Blender 2.65 has been released today. The biggest change that would concern level designers/environmental artists may be the bevel tool. You can read about it's changes and other modeling tools here. There were also 200+ bug fixes made as well to make it the most stable 2.6x release yet. You can download the latest version here.
Liandri Vault
I stumbled upon this site in the CBP3 Volume 5 Epic Thread. I have always been a fan of map review sites and look forward to reading some review. You can check out the site here. He has already reviewed 2 of the maps from the for mention pack.
CBP3 Volume 5 Released
I know I am a bit late… The CBP3 Volume 5 pack has been releaed. It contains 5 DM maps, 3 CTF maps, 1 VCTF map, and 1 character. Please visit the Release Page and check it out.
State of Odedge.com
Hello all…
I have been absent from the mapping and modding world for most this year for various reasons. I have found my way back to a hobby I enjoy very much. I have a few maps planned, which will include static meshes from Blender.
In the future, I plan on being more active in posting information and hope that it helps you enjoy your hobby of gaming and modding.
Blender 2.62 Overview
Jonathan Williamson over at Blender Cookie has done a nice overview video on Blender 2.62. Check it out here. The UV tools, new Boolean library, and the Remesh modifier were the parts that interested me the most.
UV Test Grid
I decided to make 2 UV Test Grids based on the stock Blender ones. One is just contains blue and black squares (each square is 32×32 pixels). These can be useful if you use "white grid lines" as the stock image seems to blend too well with them.
The other image replaces the little "+" marks with arrows, to help align the faces better.
Blender 2.62 Released
UOF3-Tapinak Maps
I have released the different Tapinak maps from the UOF DM + EG Map packs as individual downloads. In addition, euchreplayer23 was kind enough to cook and test the PS3 version.
There are 2 DM versions (one is at night with a different item placement) in addition to a greed and domination version for those who like these game modes. You can view the page here.


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