text:
I read Cheaper by the Dozen as a child and was fascinated by the efficiency the Gilbreth family displayed despite 12 kids. 12 kids, think about this. The Gilbreths maintained order and the parents didn't kill anybody! Heck, my two daughters can make my house look like a third world country before The Rugrats credit reel runs.
The 2nd movie version of Cheaper by the Dozen takes a unique approach to its adaptation; change absolutely everything about the book and attempt to cut out all hints of a reasonable plot. This time around, the family is the Bakers (not the Gilbreths as in the book). The Bakers are a family of 12 from rural While humorous at times, the movie languishes as a result of under developed characters, unresolved storylines, and the completely unnecessary Ashton Kutcher. First, we have the characters. The kids first and foremost are a complete blur. The oldest daughter, Nora, lives out of the house with her boyfriend, Hank (Kutcher in an uncredited roll that was featured prominently in the trailers). Hank really doesn't like kids and Nora is torn in trying to have a new identity with a new job. Kutcher completely takes away time from the Baker kids. If they wanted conflict in Nora's absence, the job could have accomplished that. Instead we get a bad actor in a throwaway role while we should have some character development for the kids. Why is Nora so ready to be away from the family? Why did at least one of the Baker kids never utter a word the entire movie? RIDICULOUS! I can't even tell you the Baker kids' names without an internet search. Most of the kids are reduced to cheesy stereotypes. But hey, we have the guy from That 70's Show! No, not that Topher guy. No not the guy with the hair or the foreigner. Oh.. yeah.. the himbo. That's gold, Jerry! Besides the kids, we also have Tom Baker's new boss, Shakes (Jenkins). He was apparently a star football player at the school while Tom was a 3rd stringer. Shakes was everything that Tom wished he was. That's partly why he went into coaching. When do we hear about this? In a throwaway comment during the last ten minutes of the movie. The 2nd oldest Baker kid is Charlie (Tom Welling), a good looking kid who was quarterback of Midland High. Not only that, but he's the son of the new big time college coach. Inexplicably, the writers decided he should be picked on by city kids. Yeah most good looking kids, whose dad is a mini-celebrity no less, are immediately treated like a character in Freaks and Geeks. Instead of focusing on the difficulties of leaving his girlfriend back in Without spoiling the movie, the ending is partially what you expect without the normal writing technique of wrapping up all the loose ends. Hey, we didn't want any closure, did we? As disappointing as the writing and directing are, Steve Martin disappoints me the most. I grew up watching The Jerk and Father of the Bride rates as one of my all-time favorites. That Martin is sadly long gone. Not because of diminishing talent, but because of diminishing standards. I'm afraid Martin is interested more in cashing checks than starring in quality films. In Cheaper by the Dozen, we have a film that hopes you find Steve Martin as endearing as he was in Parenthood or Father of the Bride. Sadly, it falls remarkably short. Cheaper by the Dozen cashes in on a well known name but shortchanges fans with inferior writing and lackluster directing. With an uninspired movie, did you really expect a phenomenal DVD? Fox breaks the first DVD taboo by making it a flip disc. One side with the 1:85 Jesus approved widescreen and the other with the 1:33 full screen satanic version. The audio is about what you would expect with DVDs nowadays; Dolby Digital 5.1 English, Spanish, and French. The French think Jerry Lewis is funny so they'll love this! Cheaper by the Dozen provides minimal extras. We get a director commentary with Shaun Levy and a "Baker Kids" commentary. I can't imagine what's worse: comments from an uninspired director or twelve kids talking at the same time. I think I'll skip the commentary from the guy who also made Just Married. Besides that, we get six deleted scenes and a feature about creating a fictional family. I'm not exactly sure Levy is qualified to make this featurette. Still, if you like Cheaper by the Dozen go ahead and get the DVD. I hoe you can live with being responsible for Levy getting the director's chair on the new Pink Panther movie. If allowing Levy to ruin another classic doesn't prick your conscience nothing will. |


text:
For editorial enquiries, commissions, individual (020) 8579 0546 or mobile (07950) 098895 or if calling from abroad +44 20 8579 0546 or mobile +44 7950 098895 Online image sales are handled by www.johnwarburtonlee.com |
.. | |||
THE FOLLOWING ARE JUST SOME OF THE OPERATORS AND PUBLISHERS I'VE FOUND PARTICULARLY SYMPATHETIC OR INSPIRING TO THE NOMADIC INSTINCT: Cox & Kings, the world's oldest travel company: they began and still excel in India. www.coxandkings.co.uk Explore, arguably the world's most comprehensive adventure travel company. www.explore.co.uk KE Adventure Travel, whose itineraries make me realise life probably is too short. www.keadventure.com Eland Books, whose mission is to revive unsung gems and forgotten classics of travel writing. www.travelbooks.co.uk Odyssey Guides, whose fine list should be better known and read. www.odysseypublications.com Geographical Magazine, for trusting writer-photographers with a particular kind of story. www.geographical.co.uk copyright © 2008 AMAR GROVER |
site designed & created by B.BREWSTER:firstname.lastname@example.com

subset: commoncrawl


text:
Measuring Market Integration: Foreign Exchange Arbitrage and the Gold Standard 1874-1913
A major question in the literature on the classical gold standard concerns the efficiency of international arbitrage. Authors have examined efficiency by looking at the spread of the gold points, gold point violations, the flow of gold, or by tests of various asset market criteria, including speculative efficiency and interest arbitrage. These studies have suffered from many limitations, both methodological and empirical. We offer a new methodology for measuring market integration based on nonlinear theoretical models and threshold autoregressions. We also compile a new, high-frequency series of continuous daily data from 1879 to 1913. We can derive reasonable econometric estimates of the implied gold points and price dynamics. The changes in these measures over time provide an insight into the evolution of market integration.
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Length: | |
Date of creation: | Aug 2004 |
Handle: | RePEc:cpr:ceprdp:4492 |
Contact details of provider: | Postal: Centre for Economic Policy Research, 77 Bastwick Street, London EC1V 3PZ. Phone: 44 - 20 - 7183 8801 Fax: 44 - 20 - 7183 8820 |
Order Information: | Email: |
No references listed on IDEAS
You can help add them by filling out this form.
This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.
When requesting a correction, please mention this item's handle: RePEc:cpr:ceprdp:4492. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ()
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.


text:
Reliving the truths over 1980s Aids world
Nominated for six Academy Awards including Best Picture, Dallas Buyers Club is a profoundly moving biopic of a hard-drinking Texan electrician, who refused to passively accept that his HIV-positive diagnosis in the mid 1980s was a death sentence.
Instead, Ron Woodroof smuggled a cocktail of unapproved drugs into America in direct defiance of his physician, who believed clinical trials were the only way to combat the virus.
Woodroof established a club to sell medications to other HIV-positive patients but his actions drew the attention of police and the Food and Drug Administration (FDA), which at that time took eight to 12 years to approve a new drug.
Ron didn't have time on his side - doctors expected him to be dead within a month - so he bent the rules to stay alive.
His inspirational crusade became a beacon of hope: Woodroof died on September 12, 1992, several years after he was diagnosed with the virus.
Jean-Marc Vallee's well crafted picture opens at a rodeo ring where Ron (Matthew McConaughey) is engaged in unprotected sex with two women in the bull stall.
A few days later at work, he is electrocuted and regains consciousness at Dallas Mercy Hospital where Dr Nathan Sevard (Denis O'Hare) and colleague Dr Eve Saks (Jennifer Garner) deliver the hammer blow: blood tests have confirmed that Ron is HIV-positive.
"Based on your condition, we estimate that you have about 30 days to get your affairs in order," Dr Sevard tells Ron.
"I got a news flash for y'all," barks the patient, "there ain't nothin' out there that can kill Ron Woodroof in 30 days."
Very quickly, Ron accepts the diagnosis and travels to Mexico to source non FDA-approved AZT from Dr Vass (Griffin Dunne).
The medic shatters Ron's hopes.
"The only people AZT helps are the people who sell it.
"It kills every cell it comes in contact with, good and bad," confides Dr Vass, who prescribes other drugs and vitamins.
This cocktail keeps Ron alive and he goes into business with an HIV-positive transvestite called Rayon (Jared Leto) to peddle the same pills to gay men living with the virus.
Dallas Buyers Club doesn't sugar-coat a bitter pill. Woodroof isn't portrayed as a flawless, morally robust hero.
However, the friendship with Rayon opens Ron's eyes to the lasting good he can achieve through his business.
McConaughey is mesmerising, shedding 40 pounds to convincingly portray the emaciated sandy-haired hustler, who dared to live only when he had a death sentence hanging over his cowboy hat.
Leto is equally compelling, concealing his character's pain behind the armour of fake eyelashes, earrings and painted nails.
Screenwriters Craig Borten and Melisa Wallack exercise some artistic licence: Rayon is a fictional creation.
However, these additions don't detract from the emotional wallop of Jean-Marc Vallee's film, or from the daring of Ron's enterprise.
Drama. Matthew McConaughey, Jared Leto, Jennifer Garner, Steve Zahn, Dallas Roberts, Denis O'Hare, Kevin Rankin, Griffin Dunne.
Director: Jean-Marc Vallee.


text:
Tell us what you need so we can bring you the right pros.
Receive up to five quotes from pros who meet your needs.
Compare quotes, message pros, and hire when ready.
Browse these snow plow services with great ratings from Thumbtack customers in Haverhill, MA.
Excellent Service! Quick Response
(show more)Jamie at J&K Sons Landscaping came to the rescue when I had an emergency for snow removal at one of my properties. I would highly recommend hiring J&K Sons Landscaping for your snow removal needs.
(show more)Installation of a bathroom exhaust fan and new cedar wood ceiling. Joe was professional, courteous, easy to work with, and had fair pricing. Would recommend for household projects.
(show more)Find out the average cost for projects similar to yours
{[{ pricing.estimation }]}
{[{ pricing.estimationDescription }]}
Something went wrong. Give it another try.
Try againBrowse other Snow Plowers available for hire on Thumbtack
Hire this contractor if you are looking for a fully insured company with workers compensation insurance. They offer home repair, stump grinding, snow plowing, sanding and salting, and more.
K&F Maintenance offers snow removal, painting, landscaping, and other lawn care services. They also do basement clean-out, floor stripping and waxing, and remodeling works.
This business provides free snow plowing estimates. They are among the junk haulers who also offer appliance and bulky item removal, power washing, and light demolition work at competitive rates.
The Principal Construction Group, Inc. specializes in residential remodeling and construction services including window replacements, additions, and more. They also offer snow removal.
Brothers Construction is a family-owned business that does snow removal, carpentry, painting, masonry, siding work, remodeling, restoration, interior and exterior work, and more.
Choose The Handy Hands if you're searching for professional landscaping and snow removal services. They also provide gutter cleaning, moving, basement cleanup, and a lot more at affordable prices.
M.T. Mayo Corporation is a full-service general contractor that specialize in excavation and site work. They also do full-demolition, lot clearing, snow plowing, and more.
This local company provides quality commercial snow plowing, excavation, lawn maintenance, tree removal, retaining wall installation, irrigation repairs, and more.
W R Scanlon Inc. has been providing reliable service since 1973. They handle all types landscaping and irrigation needs. They do snow removal, fall and spring cleanup, tree transplanting, and more.
This business offers quality landscaping and snow removal services for clients. They also do plumbing, roofing, hardwood flooring, and many more.
Guaranteed Total Clean is a company that offers quality landscaping, carpet cleaning, housecleaning, floor stripping, and snow removal. They also offer painting, seal coating, and more.
This company offers residential landscaping and construction services. They do snow removal and plowing services, lawn maintenance, deck replacements, roofing repairs and more.
Choose this dependable business if you need professional painting services. They also offer snow plowing, yard cleanup, tile and wood flooring, drywalling, concrete work, and a lot more.
Find GMC Roofing and Repair if you are looking for someone who does snowplowing jobs at competitive rates. They also do pain jobs, siding works, and more.
Get various work done with the help of Herb Travis Handyman Services. They offer residential snow plowing, tile, hardwood, and floating flooring, gutter cleaning and replacement, carpentry, and more.
D.C.Contracting performs snow removal operations during winter. They also do sanding operations and electrical works. They offer property management, and more.
Choose JB Co Landscape if you are looking for a company that offers quality yet affordable residential snow plowing, landscaping and mowing services. They also do retaining wall, and walkway installations.
Hire this company that uses green clean product in their cleaning services. They clean offices, houses, and labs. They also offer floor care, stripping and refinishing, snow removal service, and more.
Set an appointment with Driscoll Contracting and get an individualized snow removal service. This family-owned and -operated business also does roof installation, siding repair and kitchen remodeling.
Jordan Rosamond provides professional labor services. He does landscaping, construction, snow removal, and much more. He offers low rates. Hire him if you need help to improve your home.
Robert Larose has over 29 years of professional experience in providing snow plowing services on driveways, small lots, and more. He is also a certified locksmith for homes, offices, and vehicles.
Jst Links offers professional snowplowing and removal minus the inconvenience. Their other services include fence installation, retaining wall building, paver walk construction and more.
This company offers free estimates and senior discounts on their landscaping and lawn maintenance services. They do brush removal, fall clean-up, masonry work, tree trimming, planting and more.
Choose Manny's Services if you want quality home improvements from roof to basement. They also do all forms of building as well as grounds maintenance, which include snow removal, landscape and more.
This company offers quality snow plowing services during the winter months. They also do excavation, hardscaping services, mulch work, drainage solutions, granite work and more.
Browse these snow plow services with great ratings from Thumbtack customers in Haverhill, MA.
Did an excellent job on driveway. Arrived right at time he said he would. Prices are very reasonable! Would use again and highly recommend.
(show more)See other requests for snow plowers in Haverhill
Westborough, MA
See other types of services provided by Thumbtack professionals


text:
Workforce Optimization in the Cloud
Follow the latest trends on cloud-based contact center software and workforce optimization
Interested? Monet offers exceptional videos that allow you to explore how we can help, at your own pace. Click below to select from a wide variety of quick, informative and self-paced videos that you can watch right now.
These are just some of the real-world benefits experienced after implementing Monet WFM software.
Watch Video


text:
The rest of the pages from my sketchbook that is part of The Sketchbook Project. I realize now that I skipped two pages in my photo taking, so I'm really glad I paid the extra $ to have the organizers of this project scan and put images on a DVD. Plus I bet they'll look better than these photos too (hope so!).
This page uses a scrap from an old collage with a magazine picture and watercolor crayons.
An old tissue paper collage with watercolor crayons and pen work.
Writing, tissue paper clothes patterns, cancelled quilty postage stamps. This is one of my favorite pages in this book.
A two page spread that has a paper napkin in a toile pattern, acrylic paint, cigar labels, game cards and a vintage label.
Cheracol, yum...
The whole two page spread.
The last page of the sketchbook! This page was based on the watercolor paper that makes up the pocket, it was a scrap left over from something else, so I painted the background to match it.
I love pockets in altered books so I thought why not on this last page of the sketchbook.
I made one two sided tag to put in the pocket with vintage pictures from ArtChix, gold-leaf pens, acrylic paint.
Why Should? vs. Why Not? sides of the tags.
I'm really glad I did this project and actually finished and submitted it!
I am really looking forward to seeing the exhibit in San Francisco in June. Check the schedule and see where the tour is coming near you so you can riffle through and handle hundreds of artist's sketchbooks!


text:
View Poll Results: out of the big 3 what is the easiest to fix | |||
ford | 11 | 22.92% | |
chevy | 32 | 66.67% | |
dodge | 5 | 10.42% | |
Voters: 48. You may not vote on this poll |
LinkBack | Thread Tools |
Sponsored Links | |||
Chevy.....all you need is a 9/16 wrench and a hammer.
Sure to get some remarks from the Mopar boys on that one.......hehe |
i dont care if you are a ford chevy or dodge guy we all agree that by far the new fords are an absolute nightmare to work on.
i mean a common truck like a expidition try doing a tune up on one. it takes something like 2-4 hours for a freakin tune up |
Gotta love any chevy with a stait 6 and power nothing. You'll never know if they're hard to work on because you never have to work on them.
Have you ever heard of a "Dodge-o-let-me-down"? |
fast chevy you say mitsubishi is easy?
try doing a clutch and heads on a 92 dodge stealth r/t twin turbo all wheel drive. halfway through the job you actually think about lowering the car onto your head to end the misery |
I would have to say chevys are the easiest to work, but that may be because that is just about all I do work on. However, I did like the 67 Ford Galaxie 500 we used to have. You could change the starter by reaching in from the top.
I also like working on my friend's car. Its a 69 Plymouth Sport Satellite convertible. We stripped the car down to nothing and I learned how to rebuild an engine with that car, how to do most of an interior, and even a little body work. |
ANY V12 Mercedes...try doing the motor mounts..........
Fords are eaiest.
Less head bolts. The heads are lighter. The timing cover comes on and off without removing the pan. You can take the intake off without removing the distributor. They are lightweight when taking them in and out of the car. The valve covers seal up better than Chevys. You get the extra side bolts and bosses. Which brings up a good point. Why don't aftermarket companies make side bolt bosses on their Chevy heads. Then all you would need to do is drill the side of your existing valve covers to match. It would be an easy fix to an age old problem. The distributor is in the front of the engine and is easy to get to. |
I think if you'd owned all three you wouldn't have chosen chevy. Stock manifolds block the lower head bolts, you have to drop the pan to get the "not very good sealing" stamped steel cover off. THey have 17 unnessisary head bolts. I might add that the valve covers don't seal very well.
Mopars only have ten head bolts, a cast timing cover that doesn't flex at all and seals very well that you can take off without dropping the pan. THey have better sealing valve covers and the magnum heads have 10 valve cover bolts. I've also owned other ford and chevy products and have never been happy with the engineering (these were 4 popper cars). The dodge mini-van we owned is great to work on, filter can be gotten from the top. Same goes with my jeep. My vote goes to dodge. K |
Recent Hotrodders' Lounge posts with photos |
Currently Active Users Viewing This Thread: 1 (0 members and 1 guests) | |
Thread Tools | |


text:
The retreat was hailed by those opposed to the son of the former president as the latest sign that he may be less prepared for the cut and thrust of national politics than his soaring poll ratings suggest.
A short announcement from Mr Bush's communications director, Karen Hughes, late on Monday heralded the U-turn. "Governor George W Bush," it began, "today directed his presidential campaign to send a campaign cheque to the Iowa Republican Party to cover the costs of renting space and purchasing tickets for the Iowa straw poll. He asked the party to refund individual cheques from six donors that had been sent for that purpose."
Next month's Iowa straw poll, an informal, preliminary part of the campaign process, is seen by the Bush camp as an opportunity for its candidate to cement his supremacy over his Republican rivals.
It was revealed last week that six wealthy (but unidentified) Bush supporters were to fund the renting of space and buying of tickets at the event on his behalf, so allowing him to save his already bulging war-chest for the campaign proper.
His rivals for the nomination had challenged the legality of the private donations, arguing that they ought to be declared as campaign expenses. But the Bush camp insisted that, under Iowa rules, everything was quite legal.
Ms Hughes's statement said the Iowa Republican Party had made clear that individual contributions were allowed, but that Mr Bush had "decided to remove any question or doubt by paying for these expenses directly from his presidential campaign account".
In other words, the Bush campaign belatedly accepted what had been apparent to his rivals right away: that while legally acceptable, the contributions could become a political liability.
The anonymity of the donors was an additional problem, as Mr Bush had already attracted criticism for not identifying the big donors who have boosted his campaign fund to more than $37m. He is now said to have agreed to release the names of those who have made contributions of more than $100,000.
The controversy over who should fund his participation in the Iowa straw poll came at the end of an uneasy fortnight for Mr Bush, who is now out on the campaign trail almost every day. His communications manager, David Beckwith, resigned after only 10 weeks, apparently after differences with Mr Bush and Ms Hughes.
One point of conflict between the two campaign workers was reported to be Mr Beckwith's decision to understate the estimated value of campaign donations so that the real figure, when it was announced, would appear more impressive.
Mr Beckwith's resignation coincided with a public spat over a clause in the deed to a Texas house sold by Mr Bush six years ago, restricting purchase and occupancy to whites. While this was a non-issue - such clauses are null and void in Texas and remain in the deeds of older houses only as a relic of segregation - Mr Bush's testy handling of reporters' questions on the subject betrayed a lack of resilience under fire. With the media such important players in US elections, such short-tempered sensitivity to criticism could be a handicap if, as is likely, the campaign becomes rough.
- More about:
- George W. Bush
- Iowa
- Relics


text:
A defense will run a 2-3 zone for several different reasons. It could be because they don't think that your team shoots well, they might be undersized, also could be what they do well, or maybe to take you out of your normal man to man sets. Whatever the reason is, it is your job as the head coach to have your team prepared to play against a 2-3 … [Read more...]
You are here: Home / Archives for how to score against a zone


text: Ohio to bolster checks on home health care workers who provide care to the disabled and elderly 5:43 PM, May 19, 2013 Share Article Ohio has received a $2.1 million federal grant to provide increased reviews for more than 100,000 workers who serve patients in Medicaid- and Medicare-funded settings. Copyright 2013 Scripps Media, Inc. All rights reserved. This material may not be published, broadcast, rewritten, or redistributed. Show Caption Hide Caption Previous Next COLUMBUS, Ohio - Ohio officials plan to bolster criminal background checks for those home health-care workers who provide direct care to the disabled and elderly. The state has received a $2.1 million federal grant to provide increased reviews for more than 100,000 workers who serve patients in Medicaid- and Medicare-funded settings. Gov. John Kasich's administration said last week that Ohio also will provide $700,000 in state funds to improve background checks. The money will help the state to extend the use of the attorney general's fingerprint database to direct-care providers. Currently, workers receive a background check prior to being hired by their employers. As of January, the state instituted rules requiring post-hiring checks at least every five years. State officials say the electronic system, known as the attorney general's Retained Applicant Fingerprint Database Information Exchange, will make post-hiring background checks timelier and less burdensome. Plus, they say, it will improve the safety of those patients who receive Medicaid or Medicare services in their own home or other community-based setting. "It is important that seniors and people with disabilities can trust the service providers that come into their homes, and this program will ensure that home-based services are of the highest quality," said Greg Moody, the director of the governor's Office of Health Transformation. Attorney General Mike DeWine says his office will be able to immediately notify employers of a worker's arrest or a conviction. The system monitors and reports post-hiring convictions in real time, allowing offenders with disqualifying convictions to be removed from their jobs immediately. It's yet to be determined when those automated check would start. Share Article A Share A A A Share Article


text:
- Request Info
- Enlist
- Reenlist
- Army Knowledge
- Help With College
- Support The Troops
- Dating
I assume you're talking about a forum-type area for people who have enlisted/been to MEPS/signed their contract but haven't yet shipped out to Basic.
While that's a good thought, I'm not sure such a narrow window of time would lend itself to a lot of traffic. We have a variety of forums setup for those who are thinking about enlisting (that get a lot of traffic) and several more forums setup for those currently in the Army (Enlisted, Warrant, and Officers) that don't get nearly as much traffic.
Thanks for the idea, though - I'll be sure to bring it up during a meeting sometime.
Thanks again for all your help!
The forums absolutely need to be reconfigured. I was guessing when I set up the various categories and forum "rooms" a couple of years ago. I would love to have input on what sections to kill and what sections we need to add.
Outside of the forums, I'm more interested in specifics on what information you'd like to see. To be completely honest, this site is built and maintained by a handful of people and being able to prioritize tasks to ensure we maximize our efforts helps us know our work effort is time well spent.
Ok cool ya it was a thought. You know now 95 percent of our guys tend to be in the DEP for at least 6 months. Quick ships are almost extinct. A friend of mine joined last week and leaves in January.
...who run this site are doing a great job & I hope it's making money for you. I found it by accident close to a couple of years ago when I clicked on the other "army.com", now defunct, by accident. Any improvements are always welcome but I realize that it's not always the easiest thing to do.


text:
Disco Zebra Costume Photo 3 of 8
Rate this costume:
9 votes
| 1 comment · add a comment |
side view.
Costume type: | Costumes for Women |
Categories: |
This homemade costume for women entered our 2012 Halloween Costume Contest.
A word from Laurie, the 'Disco Zebra' costume creator:
I am wearing the costume. (Laurie Pattillo)
I thought of the costume after seeing the opening ceremonies of the 2002 WInter Olympics in Salt Lake City. They had huge horses made out of flowing material that... Read more »


text:
Perl: the Markov chain saw | |
PerlMonks |
Comment on |
( #3333=superdoc: print w/replies, xml ) | Need Help?? |
If there's ever a bit of idiom that you *almost* know, but can't quite nail, and you're too shy to ask on the chatterbox,I stretched my arm out and got "Programming Perl" from my Perl book pile. (The only problem here is the sheer size of the index, which adds seconds of page turning.) Also, "perldoc -f mkdir" worked fine for me. But I'd have missed the "File::Path" comment here. Hmmm... the Chatterbox seems to be the best place, all things considered. In reply to Re: How to find code written by smart people
by BerntB


text:
Product Description
Aveda Damage Remedy Daily Repair 100ml.Our daily leave-in treatment instantly repairs damaged hair by 26%*, helps protect from heat styling and detangles to help prevent further damage.
Certified organically-derived quinoa protein penetrates hair to instantly repair damage and strengthen from the inside out.
Wheat protein helps protect from heat styling-such as blow-drying and ironing.
Soy-derived oil detangles to help prevent further damage and breakage.
Certified organic essential oils including bergamot, mandarin and ylang ylang provide an uplifting aroma.
*After 1 application of Daily Hair Repair in a clinical tensile test.
- Dry / Damaged hair
- All hair colours
- Hair Style Style/ finish
- Hair Type Dry / Damaged hair
- Hair colour All hair colours
- Volume 100 ml
Buy and Collect - FREE for orders over £30 or £2 for under £30 (7 days a week)
Order before midnight for collection in store from 12 noon the NEXT DAY or on a day of your choice
(For Belfast and Dundrum please allow up to 48hrs for delivery.)
Standard - £3.95 (Monday to Friday)
FREE on orders of £50 or more. Delivery within 3 - 5 working days.
Next Day - £6 (Monday to Sunday)
Order before 7pm for delivery the NEXT DAY
(For Belfast and Dundrum please allow 48hrs for delivery.)
Nominated Day - £6 (Monday to Sunday 6pm)
Same Evening - £8 (Monday to Friday)
Selected postcodes only. Order by 12noon for delivery between 6-9pm.
Ireland - £3.95
FREE on orders of £50 or more*. Delivery within 3 - 5 working days.
Find out more about delivery and charges
We hope you will love your new things but if you don't, you are welcome to return your items free of charge. Here's how to do it:
To a Store
Bring your items and proof of purchase into store within 28 days from the day your parcel arrives, for a full refund via the original payment method.
By Post
Please send your return by post or courier within 28 days from the day your parcel arrives for a full refund via the original payment method.
Paypal Refunds
You will need to return your goods by post, if PayPal was your original payment method and you would like the refund back to your account. If you make your return to a store, we will only able to give you a House of Fraser gift card to the same value. You'll still have 28 days to return.


text:
8' 7 x 11' 7 Kashan Persian Rug
This Antique Authentic Persian Kashan rug is Hand Knotted in Iran of 100% Kork and has 200 knots per square inch. Colors found in this rug include: Rust Red, Blue, Cream, Navy Blue, Ivory, Beige. The primary color is Rust Red. This rug is in Very Good condition, with minor blemishes (Abrash, Low Pile). Further details can be seen in the pictures The measurements for this rug are: 8 feet 7 inches wide by 11 feet 7 inches long. Free Shipping & Free 30-Day Returns. All of our hand-knotted rugs are professionally washed and treated. All rugs are individually inspected before leaving our warehouse. This rug's SKU # is 22076959 Ask A QuestionAverage response time: 10 minutes


text:
Message view | « Date » · « Thread » |
Top | « Date » · « Thread » |
From | Ophir <bar9...@yahoo.com> |
Subject | Concurrent callbacks problem. |
Date | Sun, 04 Jan 2009 20:07:24 GMT |
Hi All, I encountered a problem while running a bpel process , a simple one, which invokes 2 asynch activities concurrently in a flow activity. the problem accours when both (or more) activities callbacks are returning on the same time to the receive activity parts. For some reason, the flow containter activity does not goes into complete status. this problem happens each time on concurrent callbacks. in case im delaying one of the callback from the enpoint service side , it all goes well... - wsa asynch activities works very well for me when they are not concurrent response ** im using ode 1.2 , tomcat 5.5 , java 1.5 & mysql db The callback endpoints are axis wsa ( activities are using the same endpoint ) --- I have tried to debug it and i think i narrowed it down to the ODEService - method :onAxisMessageExchange on the _txManager.commit(); phase. ( when i pause the callbacks threads there and releasing them one by one , it works..) Im attaching the bpel pkg. Please let me know if there is a bug in the bpel engine or am i doing something wrong there. Thanks , Ophir. http://www.nabble.com/file/p21280573/gaz.zip gaz.zip -- View this message in context: http://www.nabble.com/Concurrent-callbacks-problem.-tp21280573p21280573.html Sent from the Apache Ode User mailing list archive at Nabble.com. | |
Mime |
View raw message |


text:
Tuesday, April 27, 2010
Simple Pleasures
Colour, and its ability to transform a space, a mood, an object — or people.
(lovely photograph by Squire Fox)
Kitchen Inspiration
Automatism Atelier
A little suggestion for Mother's Day — a letterpress postcard print from my Veggie collage series! Shown here is Lady Asparagus, hand printed for me by the wonderful Lauren Potosky of Play Clothes Press, who used a Pearl Press dating from 1895 and acid free, 100% cotton, 140 lb. weight cold pressed Fabriano Artistico paper. Each limited edition print measures 4" x 6" and is of archival quality. And if asparagus isn't your thing, visit the automatism atelier and say hello to Mr. Onions, Miss Cabbage and Sir Potato! I can see one of these tucked alongside a few packets of seeds in a flower pot decorated with a pretty ribbon.
Subscribe to:


text:
"Sometimes. Just sometimes." Off-days are good for feature stories on guys like Elijah Dukes. Fittingly, Chico Harlan of the Washington Post takes advantage of the off-day with a nice feature on Elijah Dukes. It's a good read, and maybe the most interesting part of the story is a revelation that maybe Mike Rizzo hasn't made up his mind on Dukes yet. It's interesting because some idiot bloggers thought then-Acting GM Mike had made up his mind on Dukes back at the beginning of July when he demoted him to AAA Syracuse. Dukes was/is, after all, a perfect symbol of the Jim Bowden Way. But now, at least there's a sort-of endorsement for the Dominican-Winter-Ball-bound Dukes from his boss: As a result, those who watch Dukes hesitate to hype his future. Is he a long-term fit as a starting right fielder? "Probably," General Manager Mike Rizzo said. "We're trying to get a read [on that]," interim manager Jim Riggleman said. Meanwhile, does Jim Riggleman's "read" on anything matter beyond October fourth? Befriend The Nationals Enquirer on Facebook. Follow us on Twitter.(AP Photo. Here at the offices of The Nationals Enquirer, we're still on board with the part of the Plan involving Elijah Dukes.)
(Elijah Dukes, via Washington Post, 9/21/2009)Just Sometimes.


text:
From Longman Dictionary of Contemporary Englishcloverclo‧ver /ˈkləʊvə $ ˈkloʊvər/ noun [uncountable] 1 HBPa small plant, usually with three leaves on each stem. If you find one with four leaves, it is thought to bring you luck a four-leaf clover2 → in clover
Examples from the Corpus
clover• At the moment it looks more like a bit of rough pasture ... full of dandelions and clover patches.• Domestic vines and orchards, in patches of garden overgrown with poppies and clover, straggle as far up as the fortress.• All permanent pasture and most leys contain a large number of grasses, clovers, weeds, and herbs.• It has a long creeping rhizome from which leaves similar to a four-leaf clover develop in two rows.• He took it out to hold and to watch it munch clover.• As befitted an earth sign, Taurus was made of clay, a sturdy little bull comically smelling a floret of clover.• Thoughtfully, Hera pulled a tuft of clover from the ground and offered it.• Can you taste the clover in it?
Pictures of the day


text:
Bülow Palais
Hotel and restaurant in town.
Germany, Dresden
Unique in the world:
"In the centre of the baroque district."
Ralf J. Kutzner, Maître de Maison, presents his property:With the Semper Opera House, the Zwinger Palace and the Frauenkirche, Dresden is one of the most fascinating places to visit in Germany. Right in the centre of the Baroque district it is home to Bülow Palais. This residence, which is run with passion, offers a taste of paradise to stylish and demanding guests. It boasts an elegant atmosphere, with a touch of originality designed to appeal to those who love all that is truly personal. Relax and enjoy breakfast in the light-filled winter garden, savour light German cuisine at Bülow's Bistro, or meet up with your friends at the cigar lounge. The restaurant Le Caroussel offers one of the best cuisines in the region.
- Garage
- Valet
- Children welcome
- Terrace
- Lift / Elevator
- Golf 9 holes
- Golf
- Biking
- Indoor bike
- Bicycle rental
- Cooking classes
- Wine and Whisky tasting
- Jogging track
- Steamship ride
- City guided tour
- City tour
Are you in possession of a CRÉATION Gift Certificate or Box?
Call:+ 49 (0)351 800 30Address:
Bülow Palais
Königstraße 14
D-01097 Dresden
Email: email@example.com
of a Création ?
On Saturday : 10AM/1PM and then 2PM/7PM


text:
See the change log.
You can download earlier versions here.
Please cite the following paper:
Chih-Chung Chang and Chih-Jen Lin, LIBSVM : a library for support vector machines. ACM Transactions on Intelligent Systems and Technology, 2:27:1--27:27, 2011. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm
The bibtex format is
@article{CC01a, author = {Chang, Chih-Chung and Lin, Chih-Jen}, title = {{LIBSVM}: A library for support vector machines}, journal = {ACM Transactions on Intelligent Systems and Technology}, volume = {2}, issue = {3}, year = {2011}, pages = {27:1--27:27}, note = {Software available at \url{http://www.csie.ntu.edu.tw/~cjlin/libsvm}} }
We have "the modified BSD license," so it is very easy to use libsvm in your software. Please check the COPYRIGHT file in detail. Basically you need to
Yes, see libsvm tools
This usually happens if you compile the code on one machine and run it on another which has incompatible libraries. Try to recompile the program on that machine or use static linking.
Build it as a project by choosing "Win32 Project." On the other hand, for "svm-train" and "svm-predict" you want to choose "Win32 Console Project." After libsvm 2.5, you can also use the file Makefile.win. See details in README.
If you are not using Makefile.win and see the following link error
LIBCMTD.lib(wwincrt0.obj) : error LNK2001: unresolved external symbol _wWinMain@16you may have selected a wrong project type.
You need to open a command window and type svmtrain.exe to see all options. Some examples are in README file.
"." means every 1,000 iterations (or every #data iterations is your #data is less than 1,000). "*" means that after iterations of using a smaller shrunk problem, we reset to use the whole set. See the implementation document for details.
Very likely the program consumes too much memory than what the operating system can provide. Try a smaller data and see if the program still crashes.
The easiest way is to use Makefile.win. See details in README. Alternatively, you can use Visual C++. Here is the example using Visual Studio 2013:
If you are using a version before 3.18, probably you see a warning message like
svm.cpp:2730: warning: ignoring return value of int fscanf(FILE*, const char*, ...), declared with attribute warn_unused_resultThis is not a problem; see this page for more details of ubuntu systems. To disable the warning message you can replace
CFLAGS = -Wall -Wconversion -O3 -fPICwith
CFLAGS = -Wall -Wconversion -O3 -fPIC -U_FORTIFY_SOURCEin Makefile.
After version 3.18, we have a better setting so that such warning messages do not appear.
For portability, we use only features defined in ISO C89. Note that features in ISO C99 may not be available everywhere. Even the newest gcc lacks some features in C99 (see http://gcc.gnu.org/c99status.html for details). If the situation changes in the future, we might consider using these newer features.
libsvm uses the so called "sparse" format where zero values do not need to be stored. Hence a data with attributes
1 0 2 0is represented as
1:1 3:2
Currently libsvm supports only numerical data. You may have to change non-numerical data to numerical. For example, you can use several binary attributes to represent a categorical attribute.
This is a controversial issue. The kernel evaluation (i.e. inner product) of sparse vectors is slower so the total training time can be at least twice or three times of that using the dense format. However, we cannot support only dense format as then we CANNOT handle extremely sparse cases. Simplicity of the code is another concern. Right now we decide to support the sparse format only.
We assume that you have '\n' in the end of each line. So please press enter in the end of your last line.
The svm-train program in libsvm conducts only a simple check of the input data. To do a detailed check, after libsvm 2.85, you can use the python script tools/checkdata.py. See tools/README for details.
We don't officially support this. But, currently LIBSVM is able to process data in the following format:
1 1:2 2:1 # your commentsNote that the character ":" should not appear in your comments.
It depends on your data format. A simple way is to use libsvmwrite in the libsvm matlab/octave interface. Take a CSV (comma-separated values) file in UCI machine learning repository as an example. We download SPECTF.train. Labels are in the first column. The following steps produce a file in the libsvm format.
matlab> SPECTF = csvread('SPECTF.train'); % read a csv file matlab> labels = SPECTF(:, 1); % labels from the 1st column matlab> features = SPECTF(:, 2:end); matlab> features_sparse = sparse(features); % features must be in a sparse matrix matlab> libsvmwrite('SPECTFlibsvm.train', labels, features_sparse);The tranformed data are stored in SPECTFlibsvm.train.
Alternatively, you can use convert.c to convert CSV format to libsvm format.
obj is the optimal objective value of the dual SVM problem. rho is the bias term in the decision function sgn(w^Tx - rho). nSV and nBSV are number of support vectors and bounded support vectors (i.e., alpha_i = C). nu-svm is a somewhat equivalent form of C-SVM where C is replaced by nu. nu simply shows the corresponding parameter. More details are in libsvm document.
In the model file, after parameters and other informations such as labels , each line represents a support vector.
Support vectors are listed in the order of "labels" shown earlier.
(i.e., those from the first class in the "labels" list are
grouped first, and so on.)
If k is the total number of classes,
in front of a support vector in class j, there are
k-1 coefficients
y*alpha where alpha are dual solution of the
following two class problems:
1 vs j, 2 vs j, ..., j-1 vs j, j vs j+1, j vs j+2, ..., j vs k
and y=1 in first j-1 coefficients, y=-1 in the remaining
k-j coefficients.
For example, if there are 4 classes, the file looks like:
+-+-+-+--------------------+ |1|1|1| | |v|v|v| SVs from class 1 | |2|3|4| | +-+-+-+--------------------+ |1|2|2| | |v|v|v| SVs from class 2 | |2|3|4| | +-+-+-+--------------------+ |1|2|3| | |v|v|v| SVs from class 3 | |3|3|4| | +-+-+-+--------------------+ |1|2|3| | |v|v|v| SVs from class 4 | |4|4|4| | +-+-+-+--------------------+See also an illustration using MATLAB/OCTAVE.
We have float as the default as you can store more numbers in the cache. In general this is good enough but for few difficult cases (e.g. C very very large) where solutions are huge numbers, it might be possible that the numerical precision is not enough using only float.
No, libsvm solves linear/nonlinear SVMs by the same way. Some tricks may save training/testing time if the linear kernel is used, so libsvm is NOT particularly efficient for linear SVM, especially when C is large and the number of data is much larger than the number of attributes. You can either
S. S. Keerthi and C.-J. Lin. Asymptotic behaviors of support vector machines with Gaussian kernel . Neural Computation, 15(2003), 1667-1689.
Please also see our SVM guide on the discussion of using RBF and linear kernels.
This usually happens when the data are overfitted. If attributes of your data are in large ranges, try to scale them. Then the region of appropriate parameters may be larger. Note that there is a scale program in libsvm.
Yes, you can do the following:
> svm-scale -s scaling_parameters train_data > scaled_train_data > svm-scale -r scaling_parameters test_data > scaled_test_data
In general this does not happen, but we have observed in some rare situations, the output of svm-scale.exe directed to a file (by ">") has wrong encoding. That is, the file is not an ASCII file, so cannot be used for training/prediction. Please let us know if this happens as at this moment we don't clearly see how to fix the problem.
For the linear scaling method, if the RBF kernel is used and parameter selection is conducted, there is no difference. Assume Mi and mi are respectively the maximal and minimal values of the ith attribute. Scaling to [0,1] means
x'=(x-mi)/(Mi-mi)For [-1,1],
x''=2(x-mi)/(Mi-mi)-1.In the RBF kernel,
x'-y'=(x-y)/(Mi-mi), x''-y''=2(x-y)/(Mi-mi).Hence, using (C,g) on the [0,1]-scaled data is the same as (C,g/2) on the [-1,1]-scaled data.
Though the performance is the same, the computational time may be different. For data with many zero entries, [0,1]-scaling keeps the sparsity of input data and hence may save the time.
Try to use the model selection tool grid.py in the tools directory find out good parameters. To see the importance of model selection, please see our guide for beginners: A practical guide to support vector classification
Yes, there is a -wi options. For example, if you use
> svm-train -s 0 -c 10 -w1 1 -w-1 5 data_file
the penalty for class "-1" is larger. Note that this -w option is for C-SVC only.
Basically they are the same thing but with different parameters. The range of C is from zero to infinity but nu is always between [0,1]. A nice property of nu is that it is related to the ratio of support vectors and the ratio of the training error.
You may want to check your data. Each training/testing data must be in one line. It cannot be separated. In addition, you have to remove empty lines.
In theory libsvm guarantees to converge. Therefore, this means you are handling ill-conditioned situations (e.g. too large/small parameters) so numerical difficulties occur.
You may get better numerical stability by replacing
typedef float Qfloat;in svm.cpp with
typedef double Qfloat;That is, elements in the kernel cache are stored in double instead of single. However, this means fewer elements can be put in the kernel cache.
For large problems, please specify enough cache size (i.e., -m). Slow convergence may happen for some difficult cases (e.g. -c is large). You can try to use a looser stopping tolerance with -e. If that still doesn't work, you may train only a subset of the data. You can use the program subset.py in the directory "tools" to obtain a random subset.
If you have extremely large data and face this difficulty, please contact us. We will be happy to discuss possible solutions.
When using large -e, you may want to check if -h 0 (no shrinking) or -h 1 (shrinking) is faster. See a related question below.
If the number of iterations is high, then shrinking often helps. However, if the number of iterations is small (e.g., you specify a large -e), then probably using -h 0 (no shrinking) is better. See the implementation document for details.
We print out decision values for regression. For classification, we solve several binary SVMs for multi-class cases. You can obtain values by easily calling the subroutine svm_predict_values. Their corresponding labels can be obtained from svm_get_labels. Details are in README of libsvm package.
If you are using MATLAB/OCTAVE interface, svmpredict can directly give you decision values. Please see matlab/README for details.
We do not recommend the following. But if you would like to get values for TWO-class classification with labels +1 and -1 (note: +1 and -1 but not things like 5 and 10) in the easiest way, simply add
printf("%f\n", dec_values[0]*model->label[0]);after the line
svm_predict_values(model, x, dec_values);of the file svm.cpp. Positive (negative) decision values correspond to data predicted as +1 (-1).
The distance is |decision_value| / |w|. We have |w|^2 = w^Tw = alpha^T Q alpha = 2*(dual_obj + sum alpha_i). Thus in svm.cpp please find the place where we calculate the dual objective value (i.e., the subroutine Solve()) and add a statement to print w^Tw. More precisely, here is what you need to do
On 32-bit machines, the maximum addressable memory is 4GB. The Linux kernel uses 3:1 split which means user space is 3G and kernel space is 1G. Although there are 3G user space, the maximum dynamic allocation memory is 2G. So, if you specify -m near 2G, the memory will be exhausted. And svm-train will fail when it asks more memory. For more details, please read this article.
The easiest solution is to switch to a 64-bit machine. Otherwise, there are two ways to solve this. If your machine supports Intel's PAE (Physical Address Extension), you can turn on the option HIGHMEM64G in Linux kernel which uses 4G:4G split for kernel and user space. If you don't, you can try a software `tub' which can eliminate the 2G boundary for dynamic allocated memory. The `tub' is available at http://www.bitwagon.com/tub.html.
For commend-line users, use the -q option:
> ./svm-train -q heart_scale
For library users, set the global variable
extern void (*svm_print_string) (const char *);to specify the output format. You can disable the output by the following steps:
void print_null(const char *s) {}
svm_print_string = &print_null;
#if 1 void info(const char *fmt,...)to
#if 0 void info(const char *fmt,...)
An example is "LIBSVM for string data" in LIBSVM Tools.
The reason why we have two functions is as follows. For the RBF kernel exp(-g |xi - xj|^2), if we calculate xi - xj first and then the norm square, there are 3n operations. Thus we consider exp(-g (|xi|^2 - 2dot(xi,xj) +|xj|^2)) and by calculating all |xi|^2 in the beginning, the number of operations is reduced to 2n. This is for the training. For prediction we cannot do this so a regular subroutine using that 3n operations is needed. The easiest way to have your own kernel is to put the same code in these two subroutines by replacing any kernel.
It is one-against-one. We chose it after doing the following comparison: C.-W. Hsu and C.-J. Lin. A comparison of methods for multi-class support vector machines , IEEE Transactions on Neural Networks, 13(2002), 415-425.
"1-against-the rest" is a good method whose performance is comparable to "1-against-1." We do the latter simply because its training time is shorter.
It is extremely easy. Taking c-svc for example, to solve
min_w w^Tw/2 + C \sum max(0, 1- (y_i w^Tx_i+b))^2,
only two places of svm.cpp have to be changed. First, modify the following line of solve_c_svc from
s.Solve(l, SVC_Q(*prob,*param,y), minus_ones, y, alpha, Cp, Cn, param->eps, si, param->shrinking);to
s.Solve(l, SVC_Q(*prob,*param,y), minus_ones, y, alpha, INF, INF, param->eps, si, param->shrinking);Second, in the class of SVC_Q, declare C as a private variable:
double C;In the constructor replace
for(int i=0;i<prob.l;i++) QD[i]= (Qfloat)(this->*kernel_function)(i,i);with
this->C = param.C; for(int i=0;i<prob.l;i++) QD[i]= (Qfloat)(this->*kernel_function)(i,i)+0.5/C;Then in the subroutine get_Q, after the for loop, add
if(i >= start && i < len) data[i] += 0.5/C;
For one-class svm, the modification is exactly the same. For SVR, you don't need an if statement like the above. Instead, you only need a simple assignment:
data[real_i] += 0.5/C;
For large linear L2-loss SVM, please use LIBLINEAR.
At optimum, some training instances should satisfy w^Tx - rho = 0. However, numerically they may be slightly smaller than zero Then they are wrongly counted as training errors. You can use a smaller stopping tolerance (by the -e option) to make this problem less serious.
This issue does not occur for nu-SVC for two-class classification. We have that
This rarely happens, but few users reported the problem. It seems that their computers for training libsvm have the VPN client running. The VPN software has some bugs and causes this problem. Please try to close or disconnect the VPN client.
This situation may occur before version 3.17. Nothing is wrong. Very likely you have two labels +1/-1 and the first instance in your data has -1. We give the following explanation.
Internally class labels are ordered by their first occurrence in the training set. For a k-class data, internally labels are 0, ..., k-1, and each two-class SVM considers pair (i, j) with i < j. Then class i is treated as positive (+1) and j as negative (-1). For example, if the data set has labels +5/+10 and +10 appears first, then internally the +5 versus +10 SVM problem has +10 as positive (+1) and +5 as negative (-1).
By this setting, if you have labels +1 and -1, it's possible that internally they correspond to -1 and +1, respectively. Some new users have been confused about this, so after version 3.17, if the data set has only two labels +1 and -1, internally we ensure +1 to be before -1. Then class +1 is always treated as positive in the SVM problem. Note that this is for two-class data only.
Any value is ok. In this situation, what you will use is the output file of svm-predict, which gives predicted class labels.
It is very easy if you are using GCC 4.2 or after.
In Makefile, add -fopenmp to CFLAGS.
In class SVC_Q of svm.cpp, modify the for loop of get_Q to:
#pragma omp parallel for private(j) schedule(guided) for(j=start;j<len;j++)
In the subroutine svm_predict_values of svm.cpp, add one line to the for loop:
#pragma omp parallel for private(i) schedule(guided) for(i=0;i<l;i++) kvalue[i] = Kernel::k_function(x,model->SV[i],model->param);For regression, you need to modify class SVR_Q instead. The loop in svm_predict_values is also different because you need a reduction clause for the variable sum:
#pragma omp parallel for private(i) reduction(+:sum) schedule(guided) for(i=0;i<model->l;i++) sum += sv_coef[i] * Kernel::k_function(x,model->SV[i],model->param);
Then rebuild the package. Kernel evaluations in training/testing will be parallelized. An example of running this modification on an 8-core machine using the data set real-sim:
8 cores:
%setenv OMP_NUM_THREADS 8 %time svm-train -c 8 -g 0.5 -m 1000 real-sim 175.90sec1 core:
%setenv OMP_NUM_THREADS 1 %time svm-train -c 8 -g 0.5 -m 1000 real-sim 588.89secFor this data, kernel evaluations take 91% of training time. In the above example, we assume you use csh. For bash, use
export OMP_NUM_THREADS=8instead.
For Python interface, you need to add the -lgomp link option:
$(CXX) -lgomp -shared -dynamiclib svm.o -o libsvm.so.$(SHVER)
For MS Windows, you need to add /openmp in CFLAGS of Makefile.win
It's very simple. Since version 3.13, you can use the function
void svm_get_sv_indices(const struct svm_model *model, int *sv_indices)to get indices of support vectors. For example, in svm-train.c, after
model = svm_train(&prob, ¶m);you can add
int nr_sv = svm_get_nr_sv(model); int *sv_indices = Malloc(int, nr_sv); svm_get_sv_indices(model, sv_indices); for (int i=0; i<nr_sv; i++) printf("instance %d is a support vector\n", sv_indices[i]);
If you use matlab interface, you can directly check
Although sv_indices is a member of the model structure to indicate support vectors in the training set, we do not store its contents in the model file. The model file is mainly used in the future for prediction, so it is basically independent from training data. Thus storing sv_indices is not necessary. Users should find support vectors right after the training process. See the previous FAQ.
Cross validation is used for selecting good parameters. After finding them, you want to re-train the whole data without the -v option.
Due to random partitions of the data, on different systems CV accuracy values may be different.
If you use GNU C library, the default seed 1 is considered. Thus you always get the same result of running svm-train -v. To have different seeds, you can add the following code in svm-train.c:
#include <time.h>and in the beginning of main(),
srand(time(0));Alternatively, if you are not using GNU C library and would like to use a fixed seed, you can have
For Java, the random number generator is initialized using the time information. So results of two CV runs are different. To fix the seed, after version 3.1 (released in mid 2011), you can add
svm.rand.setSeed(0);in the main() function of svm_train.java.
If you use CV to select parameters, it is recommended to use identical folds under different parameters. In this case, you can consider fixing the seed.
This problem shouldn't happen after version 2.85. If you are using earlier versions, please download the latest one.
Warning: empty z range [62.5:62.5], adjusting to [61.875:63.125] Notice: cannot contour non grid data!
Nothing is wrong and please disregard the message. It is from gnuplot when drawing the contour.
In general we suggest you to try the RBF kernel first. A recent result by Keerthi and Lin ( download paper here) shows that if RBF is used with model selection, then there is no need to consider the linear kernel. The kernel matrix using sigmoid may not be positive definite and in general it's accuracy is not better than RBF. (see the paper by Lin and Lin ( download paper here). Polynomial kernels are ok but if a high degree is used, numerical difficulties tend to happen (thinking about dth power of (<1) goes to 0 and (>1) goes to infinity).
LIBSVM implements "one-against-one" multi-class method, so there are k(k-1)/2 binary models, where k is the number of classes.
We can consider two ways to conduct parameter selection.
Chen, Lin, and Schölkopf, A tutorial on nu-support vector machines. Applied Stochastic Models in Business and Industry, 21(2005), 111-136,
they have experimentally shown that the two methods give similar performance. Therefore, currently the parameter selection in LIBSVM takes the second approach by considering the same parameters for all k(k-1)/2 models.
You have pre-specified true positive rate in mind and then search for parameters which achieve similar cross-validation accuracy.
For MATLAB, please see another question in FAQ.
For using shell scripts, please check the code written by Bjarte Johansen
To construct this probability model, we internally conduct a cross validation, which is more time consuming than a regular training. Hence, in general you do parameter selection first without -b 1. You only use -b 1 when good parameters have been selected. In other words, you avoid using -b 1 and -v together.
There is absolutely no reason the probability outputs guarantee you better accuracy. The main purpose of this option is to provide you the probability estimates, but not to boost prediction accuracy. From our experience, after proper parameter selections, in general with and without -b have similar accuracy. Occasionally there are some differences. It is not recommended to compare the two under just a fixed parameter set as more differences will be observed.
Let's just consider two-class classification here. After probability information is obtained in training, we do not have
prob > = 0.5 if and only if decision value >= 0.
So predictions may be different with -b 0 and 1.
For Microsoft windows, first press the "print screen" key on the keyboard. Open "Microsoft Paint" (included in Windows) and press "ctrl-v." Then you can clip the part of picture which you want. For X windows, you can use the program "xv" or "import" to grab the picture of the svm-toy window.
The program svm-toy assumes both attributes (i.e. x-axis and y-axis values) are in (0,1). Hence you want to scale your data to between a small positive number and a number less than but very close to 1. Moreover, class labels must be 1, 2, or 3 (not 1.0, 2.0 or anything else).
Taking windows/svm-toy.cpp as an example, you need to modify it and the difference from the original file is as the following: (for five classes of data)
30,32c30 < RGB(200,0,200), < RGB(0,160,0), < RGB(160,0,0) --- > RGB(200,0,200) 39c37 < HBRUSH brush1, brush2, brush3, brush4, brush5; --- > HBRUSH brush1, brush2, brush3; 113,114d110 < brush4 = CreateSolidBrush(colors[7]); < brush5 = CreateSolidBrush(colors[8]); 155,157c151 < else if(v==3) return brush3; < else if(v==4) return brush4; < else return brush5; --- > else return brush3; 325d318 < int colornum = 5; 327c320 < svm_node *x_space = new svm_node[colornum * prob.l]; --- > svm_node *x_space = new svm_node[3 * prob.l]; 333,338c326,331 < x_space[colornum * i].index = 1; < x_space[colornum * i].value = q->x; < x_space[colornum * i + 1].index = 2; < x_space[colornum * i + 1].value = q->y; < x_space[colornum * i + 2].index = -1; < prob.x[i] = &x_space[colornum * i]; --- > x_space[3 * i].index = 1; > x_space[3 * i].value = q->x; > x_space[3 * i + 1].index = 2; > x_space[3 * i + 1].value = q->y; > x_space[3 * i + 2].index = -1; > prob.x[i] = &x_space[3 * i]; 397c390 < if(current_value > 5) current_value = 1; --- > if(current_value > 3) current_value = 1;
They are the same thing. We just rewrote the C++ code in Java.
This depends on the VM you used. We have seen good VM which leads the Java version to be quite competitive with the C++ code. (though still slower)
You should try to increase the maximum Java heap size. For example,
java -Xmx2048m -classpath libsvm.jar svm_train ...sets the maximum heap size to 2048M.
Unlike C, Java does not have a preprocessor built-in. However, we need some macros (see first 3 lines of svm.m4).
Yes, here are some examples:
$ export CLASSPATH=$CLASSPATH:~/libsvm-2.91/java/libsvm.jar $ ./jython Jython 2.1a3 on java1.3.0 (JIT: jitc) Type "copyright", "credits" or "license" for more information. >>> from libsvm import * >>> dir() ['__doc__', '__name__', 'svm', 'svm_model', 'svm_node', 'svm_parameter', 'svm_problem'] >>> x1 = [svm_node(index=1,value=1)] >>> x2 = [svm_node(index=1,value=-1)] >>> param = svm_parameter(svm_type=0,kernel_type=2,gamma=1,cache_size=40,eps=0.001,C=1,nr_weight=0,shrinking=1) >>> prob = svm_problem(l=2,y=[1,-1],x=[x1,x2]) >>> model = svm.svm_train(prob,param) * optimization finished, #iter = 1 nu = 1.0 obj = -1.018315639346838, rho = 0.0 nSV = 2, nBSV = 2 Total nSV = 2 >>> svm.svm_predict(model,x1) 1.0 >>> svm.svm_predict(model,x2) -1.0 >>> svm.svm_save_model("test.model",model)
Your compiler version may not be supported/compatible for MATLAB. Please check this MATLAB page first and then specify the version number. For example, if g++ X.Y is supported, replace
CXX = g++in the Makefile with
CXX = g++-X.Y
Please make sure that you use the -largeArrayDims option in make.m. For example,
mex -largeArrayDims -O -c svm.cppMoreover, if you use Microsoft Visual Studio, probabally it is not properly installed. See the explanation here.
It is extremely easy to do scaling under MATLAB. The following one-line code scale each feature to the range of [0,1]:
(data - repmat(min(data,[],1),size(data,1),1))*spdiags(1./(max(data,[],1)-min(data,[],1))',0,size(data,2),size(data,2))
One can do this by a simple loop. See the following example:
bestcv = 0; for log2c = -1:3, for log2g = -4:1, cmd = ['-v 5 -c ', num2str(2^log2c), ' -g ', num2str(2^log2g)]; cv = svmtrain(heart_scale_label, heart_scale_inst, cmd); if (cv >= bestcv), bestcv = cv; bestc = 2^log2c; bestg = 2^log2g; end fprintf('%g %g %g (best c=%g, g=%g, rate=%g)\n', log2c, log2g, cv, bestc, bestg, bestcv); end endYou may adjust the parameter range in the above loops.
Fabrizio Lacalandra of University of Pisa reported this issue. It seems the problem is caused by the screen output. If you disable the info function using
#if 0,then the problem may be solved.
First, you must modify svm.cpp. Check the following faq, How can I use OpenMP to parallelize LIBSVM on a multicore/shared-memory computer?
To build the MATLAB/Octave interface, we recommend using make.m. You must append '-fopenmp' to CXXFLAGS and add '-lgomp' to mex options in make.m. See details below.
For MATLAB users, the modified code is:
mex CFLAGS="\$CFLAGS -std=c99" CXXFLAGS="\$CXXFLAGS -fopenmp" -largeArrayDims -I.. -lgomp svmtrain.c ../svm.cpp svm_model_matlab.c mex CFLAGS="\$CFLAGS -std=c99" CXXFLAGS="\$CXXFLAGS -fopenmp" -largeArrayDims -I.. -lgomp svmpredict.c ../svm.cpp svm_model_matlab.c
For Octave users, the modified code is:
setenv('CXXFLAGS', '-fopenmp') mex -I.. -lgomp svmtrain.c ../svm.cpp svm_model_matlab.c mex -I.. -lgomp svmpredict.c ../svm.cpp svm_model_matlab.c
If make.m fails under matlab and you use Makefile to compile the codes, you must modify two files:
You must append '-fopenmp' to CFLAGS in ../Makefile for C/C++ codes:
CFLAGS = -Wall -Wconversion -O3 -fPIC -fopenmp -I$(MATLABDIR)/extern/include -I..and add '-lgomp' to MEX_OPTION in Makefile for the matlab/octave interface:
MEX_OPTION += -lgomp
To run the code, you must specify the number of threads. For example, before executing matlab/octave, you run
> export OMP_NUM_THREADS=8 > matlabHere we assume Bash is used. Unfortunately, we do not know yet how to specify the number of threads within MATLAB/Octave. Our experiments show that
>> setenv('OMP_NUM_THREADS', '8');does not work. Please contact us if you see how to solve this problem. On the other hand, you can specify the number of threads in the source code (thanks to comments from Ricardo Santiago-mozos):
#pragma omp parallel for private(i) num_threads(8)
Let's start from the binary class and assume you have two labels -1 and +1. After obtaining the model from calling svmtrain, do the following to have w and b:
w = model.SVs' * model.sv_coef; b = -model.rho; if model.Label(1) == -1 w = -w; b = -b; endIf you do regression or one-class SVM, then the if statement is not needed.
For multi-class SVM, we illustrate the setting in the following example of running the iris data, which have 3 classes
> [y, x] = libsvmread('../../htdocs/libsvmtools/datasets/multiclass/iris.scale'); > m = svmtrain(y, x, '-t 0') m = Parameters: [5x1 double] nr_class: 3 totalSV: 42 rho: [3x1 double] Label: [3x1 double] ProbA: [] ProbB: [] nSV: [3x1 double] sv_coef: [42x2 double] SVs: [42x4 double]sv_coef is like:
+-+-+--------------------+ |1|1| | |v|v| SVs from class 1 | |2|3| | +-+-+--------------------+ |1|2| | |v|v| SVs from class 2 | |2|3| | +-+-+--------------------+ |1|2| | |v|v| SVs from class 3 | |3|3| | +-+-+--------------------+so we need to see nSV of each classes.
> m.nSV ans = 3 21 18Suppose the goal is to find the vector w of classes 1 vs 3. Then y_i alpha_i of training 1 vs 3 are
> coef = [m.sv_coef(1:3,2); m.sv_coef(25:42,1)];and SVs are:
> SVs = [m.SVs(1:3,:); m.SVs(25:42,:)];Hence, w is
> w = SVs'*coef;For rho,
> m.rho ans = 1.1465 0.3682 -1.9969 > b = -m.rho(2);because rho is arranged by 1vs2 1vs3 2vs3.
Yes, after libsvm 2.86, the matlab interface works on OCTAVE as well. Please use make.m by typing
>> makeunder OCTAVE.
The easiest way is to rename the svmtrain binary file (e.g., svmtrain.mexw32 on 32-bit windows) to a different name (e.g., svmtrain2.mexw32).
The error usually happens when there are missing runtime components such as MSVCR100.dll on your Windows platform. You can use tools such as Dependency Walker to find missing library files.
For example, if the pre-built MEX files are compiled by Visual C++ 2010, you must have installed Microsoft Visual C++ Redistributable Package 2010 (vcredist_x86.exe). You can easily find the freely available file from Microsoft's web site.
For 64bit Windows, the situation is similar. If the pre-built files are by Visual C++ 2008, then you must have Microsoft Visual C++ Redistributable Package 2008 (vcredist_x64.exe).
Please use code in the following directory. The following example shows how to train and test the problem dna (training and testing).
Load, train and predict data:
[trainY trainX] = libsvmread('./dna.scale'); [testY testX] = libsvmread('./dna.scale.t'); model = ovrtrain(trainY, trainX, '-c 8 -g 4'); [pred ac decv] = ovrpredict(testY, testX, model); fprintf('Accuracy = %g%%\n', ac * 100);Conduct CV on a grid of parameters
bestcv = 0; for log2c = -1:2:3, for log2g = -4:2:1, cmd = ['-q -c ', num2str(2^log2c), ' -g ', num2str(2^log2g)]; cv = get_cv_ac(trainY, trainX, cmd, 3); if (cv >= bestcv), bestcv = cv; bestc = 2^log2c; bestg = 2^log2g; end fprintf('%g %g %g (best c=%g, g=%g, rate=%g)\n', log2c, log2g, cv, bestc, bestg, bestcv); end end
We assume that in a matlab command window you change directory to libsvm/matlab and type
>> makeWe discuss the following situations.
Reason: "make" looks for a C++ compiler, but no compiler is found. To get one, you can
Reason: Since Apple Inc. only ships llsvm-gcc instead of gcc-4.2, llvm-gcc-4.2 cannot be found.
If you are using Xcode 4.2-4.6, a related solution is offered at http://www.mathworks.com/matlabcentral/answers/94092.
On the other hand, for Xcode 5 (including Xcode 4.2-4.6), in a Matlab command window, enter
CC='llvm-gcc-4.2' CXX='llvm-g++-4.2'to
CC='llvm-gcc' CXX='llvm-g++'
This may be due to that Octave's math.h file does not refer to the correct location of Visual Studio's math.h. Please see this nice page for detailed instructions.


text:
SteelSeries 51100 Siberia V2 Headset (White)
" Heard these at a gaming convention. Wanted to buy a pair riht there and then, but they were not allowed to sell them at the con, so I went to their site, picked up the black/gold version with a 40% discount. Sixty bucks for these seems like I stole them. Here's why... They sound FANTASTIC!!! I never heard the v1's, but I own a pair of sennheiser 650's, also..." --Jason4774
SteelSeries 51103 Siberia V2 USB Headset (Black)
"This is a GAMING HEADSET review. It is NOT a headphone review. The website has this in the WRONG category, and I have contacted the webmaster. The rating is based on price/performance of this GAMING HEADSET. The SteelSeries V2 hasn't changed in about 4 years because the design is almost perfect. The headset provides good Bass response with 50mm speaker drivers. ..." --systemBuilder
Xears XE200Pro
" Basic Info Price: 30 euros w/ discount coupon + 8 euros for shipping ~~ $40 / $50 inc. shipping Dynamic driver IEM About the reviewer Music lover who played piano for over 10 years. Don't consider myself an audiophile although some friends would disagree :) Coming from Shure SE350 --> Monster Turbine Pro Coppers + Apple In-ears, with various cheaper..." --Pin
Xears Bombastic Force XBF400PRO
" [I do not have trained ears, nor do I have a great setup. Hopefully I use the right words to describe the sound] Even with the sibilance I love listening to them more than my SoundMagic E10 and my Alessandro MS2 (Grado 325is). The E10s are pretty good, but they somehow lack the fullness that makes listening satisfying. The XBF400Pro delivers just that. They produce rich and..." --drakool
SteelSeries Siberia 650 Gaming Headset - Black (formerly Siberia Elite Prism)
"Once upon a time I played an online game and found myself in need of both a microphone, and unrelatedly, a new pair of closed headphones for general music listening in the office. Seeing as gaming headphones go from $50 to $250, I figured, in the Hi-Fi world, the $200 mark is an excellent entry point, so here we are. If you're looking for a pair of headphones for music, I'll save you the time..." --DeeKay10
Xears XWF600
9 mm Neodymium Mylar ium excellent sound superlative by state Neodymtreibertechnologie replaceable cables, which can be replaced if a cable breaks fast and cheap Housing made of Bubinga h ood and highly polished aluminum front panel meters are deep, rich, powerful bass, crisp mids, clear highs Wame s sound Pure High Power! Club Sound Feeling! suitable for all genres of rock / pop, techno and...
Xears Communicate C100iP
- modern high-end Neodymium Driver technology offers high quality sound - punchy bass, crispy mids and crystal-clear highs - oxygen free copper cable - optimal external noise suppression supplied by micro-foam ear pads - microphone with answer key - studio like sound - suitable for all styles of music from rock/pop, techno and classic music - unique, modern design and perfect...
Xears Ultraphile
- Excellent sound through modern Neodymtreibertechnologie - 10 mm multiple layer diaphragm neodymium high-end (multi-layer membrane) - Housing made of solid aluminum - Slightly angled front part of anatomically hold in the ear - Flexible rubber sleeve on the housing for better protection of the cable - Punchy bass, crisp mids and crystal clear highs - Incredibly realistic sound studio -...
Xears Pure Audio XPA800PRO
Pure Audio XPA800PRO Highend In Ear Headphones Best bass of all time cost
Xears Pure Audio XPA2PRO
excellent enormously powerful sound of superlatives by the latest high-end Neodymtreibertechnologie pluggable cable, which can be replaced if a cable breaks fast and cheap 10 mm multiple layer diaphragm neodymium high-end (multi-layer membrane) Aluminum housing 3 different sized interchangeable audio filters (hard, medium, soft ground to vote as a front screw thread) are deep, rich, powerful...


text:
Ted Bundy
From Conservapedia
Theodore Robert Bundy (1946-1989) was a notorious serial killer and rapist during the 1970s and 1980s. The word "serial murder" was coined in response to his crimes.
Bundy killed his victims, all female, in Washington, Oregon, Utah, and Florida, they were usually between the ages of 16 and 30, although one Kimberly Leach, was 12, and another Ann Marie Burr, who Bundy murdered when he was 14, was only 8. He would usually brutally bludgeon his victims, then strangle them. He was executed in 1989 by the electric chair for his last murder in Florida, but not before confessing his sins and accepting Christ. He was interviewed by James Dobson prior to his execution and blamed his criminal tendencies on pornography.


text:
You're seeing this message because you're using an older version of Internet Explorer that is unsupported on our website. Please use these links to upgrade to a modern web browser that fully supports our website and protects your computer from security risks.
Five Field Hockey Players Earn Academic Honors
Senior Heidi Zook (Elverson, Pa./Twin Valley), junior Jessica Brittingham (Pocomoke, Md./Pocomoke) and sophomores Brittney Blystone (Mohnton, Pa./Governor Mifflin), Brittany Russell (Washington, N.J./Warren Hills), and Whitney Young (Annapolis, Md./Broadneck) all earned academic honors.
"These girls show tremendous dedication to both the sport of field hockey and their academic success," said Head Coach Nicole Bonvouloir. "I'm very proud of what they have accomplished."
Student-athletes must have a minimum cumulative GPA of 3.30 through the fall semester of the 2005-06 academic year.
For further information on this release, contact:
Office of Sports Information
Frostburg State University
101 Braddock Road
Frostburg, MD 21532-2303
Telephone: 301-687-4371
Fax: 301-687-4780
E-mail: email@example.com
Frostburg State University
Frostburg State University, 101 Braddock Road, Frostburg, MD 21532-2303.
Emergency Info
Feedback | Privacy | Copyright
Media & Publications | Student Consumer Info.
Copyright © 2017


text:
americas best sunglasses, barton, barton perreiera x giovanni ribisi, Barton Perreira, barton perreira eyewear, barton perreira sunglasses, Baumvision, best eyeglasses, Best sunglasses, bill barton, cars, CFDA, gaming, patty perreira, perreira, transportation, travel, vacation, videogames
BARTON PERREIRA featured on BONOCLE
April 3, 2012
Hedda and Alexis were spotted on a sunny day outside a coffee shop in Stockholm. Alexis (right) is wearing the Sheldon by Barton Perreira.
From → BARTON PERREIRA
Leave a Comment


text:
I am a plumber but i still want to find out how to do it faster and better. Besides doing it every day, where do you learn little tricks to do it faster or just new ways of doing it.
No announcement yet.
Re: learning
Originally posted by PLUMJOE View PostI am a plumber but i still want to find out how to do it faster and better. Besides doing it every day, where do you learn little tricks to do it faster or just new ways of doing it.
For instance I got a web link off of here that led me to a huge collection of every stem,valve known to modern man. Here it is I forgot who posted it but thanks! I have it on my laptop in my truck it's great!
http://www.arpny.com/faucetre.htmlSeattle Drain Service
Re: learning
If you're involved in new construction, I'd recommend you memorize the sizing tables for sewer, water and gas piping found in your code book. Many other dos and don'ts can be found in your code book as well. Having them in your cranial tool box for easy reference gives you more time for working and less time for head scratching. And, fewer money and time wasting inspection related do overs.
Re: learning
Monitor your own steps.How many should it take.What should I have up a six foot ladder with me.
Stop...Practice thinking about how you can combine/save steps before moving a muscle.
It is hard for me to do when I have a bunch of looky lou's standing over my shoulder yappin' in my ear.One of the aspects of service that's a challenge for me now.
In construction I used to like to stand from afar and watch an employee to see how many times he would go up a ladder,in and out of a ditch,to and from the truck.Some were hilarious.I would cruise up and they would be all sweaty,dirty,huffing
and puffing from running around cussing like a chicken with it's head cut off.
May impress the chicks and homeowners bro,but your on the "B" list


text:
Palmer College of Chiropractic Campus Life |
Student | Total |
American Indian/Alaskan Native | 0.5% |
Asian/Pacific Islander | 5.3% |
Black/non-Hispanic | 2.9% |
Hispanic | 4.5% |
Non-resident alien | 0.1% |
Race/Ethnicity unknown | 1.4% |
Two or more races | 0.4% |
White/non-Hispanic | 84.9% |
Disabilities | |
Percent of students with disability | 3% or less |
Services Offered
Arrests On Campus | |
Illegal Weapons Possession | 0 |
Drug Law Violation | 0 |
Liquor Law Violation | 0 |
Criminal Offenses On Campus | |
Personal Crime | 0 |
Property Crime | 1 |
i actually will be living in a apartment. the campus doesn't have any dorms.…
There are no dorms, but there is plenty of housing available around campus for palmer students. Visit the housing network at palmer.edu …
No dorm life is offered however there are numerous off campus apartments available through the school…
There are no dormitories at Palmer, although the college owns a few apartment complexes near campus. Most people live off campus.…
Local apartment complexes are hit or miss. You must ask around to those who go there, but no matter what you will find something that matches what you are looking…
The surrounding local food can be above average if you know where to look. There are some local coffee shops that are great places to study, and get a bite to eat while studying. There is a main stretch right down from the school that has a local coffee shop, burger joint (better than most), and some great sushi. Ask any local and you can find an awesome local hidden treasure.
Read MoreThere is a cafeteria and a Starbucks on campus. The Veterans Club also offers food and beverages in their office.
Read MoreDining at Palmer is awesome. They have a professional chef who provides a delicious array of food options
Read MorePlenty of restaurants in davenport.
Read Morethey offer a variety of meals and even healthy choices.
Read MoreA couple fraternities and a sorority. Great for like minded professional people
Read More


text:
The impact of recent advances in laboratory astrophysics on our understanding of the cosmos
Type | Journal Article |
Names | D. W. Savin, N. S. Brickhouse, J. J. Cowan, R. P. Drake, S. R. Federman, G. J. Ferland, A. Frank, M. S. Gudipati, W. C. Haxton, E. Herbst, S. Profumo, F. Salama, L. M. Ziurys, E. G. Zweibel |
Publication | Reports on Progress in Physics |
Volume | 75 |
Issue | 3 |
Pages | 036901 |
Date | March 1, 2012 |
URL | http://adsabs.harvard.edu/abs/2012RPPh...75c6901S |
Library Catalog | NASA ADS |
Abstract | An emerging theme in modern astrophysics is the connection between astronomical observations and the underlying physical phenomena that drive our cosmos. Both the mechanisms responsible for the observed astrophysical phenomena and the tools used to probe such phenomena—the radiation and particle spectra we observe—have their roots in atomic, molecular, condensed matter, plasma, nuclear and particle physics. Chemistry is implicitly included in both molecular and condensed matter physics. This connection is the theme of the present report, which provides a broad, though non-exhaustive, overview of progress in our understanding of the cosmos resulting from recent theoretical and experimental advances in what is commonly called laboratory astrophysics. This work, carried out by a diverse community of laboratory astrophysicists, is increasingly important as astrophysics transitions into an era of precise measurement and high fidelity modeling. |


text:
Evolutionists often cite antibiotic resistance in bacteria as evidence for "evolution in action."
Geologists have confirmed even more examples of sands that were carried by waters flowing across the entire U.S. continent.
Did archaeologists uncover a possible temple from the Garden of Eden?
Researchers have discovered a fossilized fish brain in Kansas.
How do I deal with cancer? Why did God allow evil in the world? Why do snakes appear designed to kill? God's curse is a historical reality, and we can see its results in everyday life. Don't miss this special issue, which will give you the tools to tackle questions about evil and its true origin.
Browse Issue SubscribeAnswers in Genesis is an apologetics ministry, dedicated to helping Christians defend their faith and proclaim the gospel of Jesus Christ.


text:
Card Games > Skat
Fun: | |
Complexity: | |
Players: | 3 - 4 |
More details: |
Pagat.com (external link) Wikipedia (external link) |
Add To My Favorites |
Skat is a popular German card game played with a deck of 32 cards that consists of the cards 7, 8, 9, 10, jack, queen, king and ace in all suits, without jokers.
Every one of the three or four players plays for himself, but in every single game one player, selected by the bidding process, plays against two others. When there are four players, each player skips one round out of four. The two opponents are not allowed to communicate in any way except by their choice of which cards to play.
The main goal in normal games is to score more than half of the card points, i.e. 61 or more out of 120. A declarer who manages to do this is awarded game points, a declarer who fails at this loses game points. At the end of the evening or of the particular round, the player with the most game points wins the round. [Wikipedia]
Rate It
If you become a registered user you can comment on this game.