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Hey guys,
Been sorta looking at alarms but been outta the game a while Terrano currently has a cheap and old Uniden alarm, only have 1 remote which I don't trust and siren is on its way out. Keen to get a new and cheapish one to replace it (and probably cheaper than replacing remotes)
Anyway, what is a good one around the lower end of the market? Not wanting to spend big bucks.
And anyone heard of/used NZ Desi Car Security? Quick google showed they had much better pricing than most the others.


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subset: commoncrawl


text:
Vet Alex Gough this week told the Veterinary Times that passive smoking is not just a problem for humans. He wrote: "Current evidence suggests that there is a significant increased risk to our animals' health involved with living with a smoker."Worry not, Alex. I'm sure the lunatics will get round to proposing both sooner or later.
Mr Gough, from Bath, says some critics want smokers to be banned from keeping pets even though we don't have laws to protect children from passive smoking.
Friday 18 February 2011
Smokers To Be Banned From Keeping Pets?
34 comments:
Is this orgy of banning deliberately engineered to push this country into revolution or are tptb just becoming more confident that the proles will take whatever shit they throw at them?
- 18 February 2011 at 20:02
- Unknown said...
What is this "current evidence" he refers to?
- 18 February 2011 at 20:02
- Dick Puddlecote said...
The same question occurred to me, Richard. No study that I can find, which suggests the usual back of a beer mat extrapolation from something he read. It's how 'experts' are made. ;)
- 18 February 2011 at 20:13
Sometimes I read this kind of stuff and I honestly don't know whether to laugh or cry...
I risk becoming repetitious here, but...
where do they find these people? - 18 February 2011 at 21:06
Could this be the same one?
Passive smoking puts pets at risk - 2002
"People who smoke at home could be putting their pets at risk of cancer.
A study carried out by vets in the United States has linked passive smoking to cancer in cats."
"Dr Antony Moore and colleagues at Tufts University in Massachusetts studied 180 cats treated at a Tufts veterinary hospital between 1993 and 2000."
High cancer risk
The vets hope their findings, published in the American Journal of Epidemiology, will encourage more people to give up smoking."
"They found that, adjusting for age and other factors, cats exposed to second-hand smoke were twice as likely to develop the disease.
However, if they were exposed to passive smoking for five years or more that risk tripled.
If two people living in the house smoke, the cats were four times more likely to contract the cancer.
There are no figures on how many cats in the UK get feline lymphoma.
Dr Moore said the findings raise questions about the risks to children of developing lymphoma if their parents smoke."
"It's difficult to say how many cats get feline lymphoma, believed to be caused by a leukemia virus, scientists said. Lung cancer rarely strikes cats."
I think we get the picture.
Rose - 18 February 2011 at 21:21
I have no more to say on the matter. - 18 February 2011 at 21:33
Bird websites for those who keep birds as pets are where I first started seeing this a while back and they deliberately create fictions based on no facts what-so-ever to stir up fanaticism amongst bird keepers who are already in a frenzy over the thought of aerosol sprays or teflon being used in their households. They're making quite an art out of this propaganda at this point. I'm certain they won't stop with this as they wish to make inroads into all minds at all levels to constantly fear the sight of smoke until the sight of liberty itself becomes fearful to behold.
- 18 February 2011 at 21:52
Now, far be it from me to want to invoke Godwin's Law here, but the similarities are so, so scary that it just can't be avoided - didn't the Nazis ban Jews from keeping pets as one of their many "preliminary" persecutions?
- 18 February 2011 at 22:32
Good heavens, you're right, Anon.
Jews forbidden to keep dogs, cats and birds
I only got as far as the parks and beaches. - 18 February 2011 at 22:38
6 sadly demised cats, across two decades:
2 from kidney failure at 14 and 15
1 from impact with car at 4
1 from stroke at 11
1 from feline leukemia (not lymphoma) at 10
1 from bowel obstruction (not cancer) at 16
Oh, and one aged 19 still going with her high blood pressure and hyperthyroidism.
And they all passively smoking along with me sat on my lap, shoulders or head.
If this even shows a hint of becoming a reality, they will find a lot of very angry cat-lovers on their doorstep. Including me. - 18 February 2011 at 23:05
Perhaps all smoking dog, cat, tortoises, goldfish, snakes, meerkats, pigs, especially the pigs etc., should march their pets to ASH HQ and leave them all there for Arnott & Co., to look after, telling her it's th only safe place away from SHS.
This is getting beyond a farce, the sad thing is there will actually be people that'll believe it.
Probably this vet is after some grants/funding.
I don't think all the shelters that take animals in that have been abandoned won't be too pleased if this takes off and people start abandoning their animals in droves.
So yes they let them remove pets from smokers an casue a big uproar when the majority have to be put down. - 19 February 2011 at 00:25
I posted this on Dr.Siegels blog but I wanted to put a copy here since yours was the article responsible for my rant.
I know this is probably not new to anyone here but I just read this today and am still in disbelief...though I shouldn't be. I just read an article where there are new legislative discussions being proposed to BAN smokers from owning pets!! The infamous line "studies show....." goes on to describe supposed studies that have shown household pets are negatively affected by second-hand smoke. HOLYSH.......T, what next?!?!? House plants? Trees? Flowers? Fish? Insects?....hey, wait a minute...if they prove that smoking kills insects we may have a toe-hold there...right? I mean, maybe we're useful for something afterall and not the total scourge on society that we have been slandered to be.
They will have to re-vamp the outdoor bans because we can rid the parks, forests, cemetaries and rock gardens of vile and annoying insects. Indoor bans as well as we proudly smoke to keep all households and public establishments free from disease-spreading insect infestations and at a fraction of the cost of current exterminators-without the dangerous chemicals they use - in comparison, we're more eco-friendly.
Just think, is it worth it to have a few of us to your house while we smoke and watch a ballgame, knowing that it will keep your home insect free and your precious little Baby Joey, asleep in his crib, will not get his wee little wanky bitten by some hairy, eight-legged, creepy-crawly thing....think of the security and peace of mind.
Are there truly REAL people out there who do not and cannot see that this unceasing, boundless, hysterical and irrational mind-set of control thinking and control behavior is, in fact, pathological...and destructive? This collective thinking is derangement beyond measure and a form of mental dysfuction that unless someone finds a way to stop it, will consume everything in its path, much like a fire, sucking the very oxygen from the room. Unabated.....there will be no witnesses left, no mourners, no tears shed because there will be no one to shed them. The many soapboxes will still be there bearing the footprints of every maniacal architect of the hollocaust....but those too will eventually fade over time....until everything is gone....
Well, almost everything....the insects will still be there... and one bug will say to the other, "Whew, that was close, they almost sent the smokers after us."
And the other bug will say, "Naaaay that would never happen."
Where have I heard that before...."naaaay, that would never happen." - 19 February 2011 at 01:48
Snowden on Velvet Glove Iron Fist has just published a report from the WHO re tobacco and alcohol harm. I have just left this comment:
""Dockrell [from ASH] is not stupid. He knows very well that what he says is nonsense, but by saying it, he attracts our attention. Subliminally, we begin to accept the message which he wants us to accept - GUILT. His numerical claims may be rubbish, but, by talking about them, we subliminally accept that smaller numbers might be true. We do not say that the whole thing is crap!
Would I be wrong in saying that all of ASH's (and, ultimately, the WHO's) statements are calculated to achieve the effect that they want in this way?""
And therefore, would I be wrong in suggesting that vet Alex Gough is invoking the same con trick? Whether the detail in his 'study' is right or wrong is not important from ASH's point of view. Only the GUILT is important. Cat owners, even if they do not smoke, will feel GUILTY! This con trick is a common phenomenon - it applies to reports about fag ends littering the streets. PEOPLE WHO DO NOT SMOKE AND DO NOT LITTER FEEL GUILTY ABOUT THE LITTER, EVEN IF THEY DO NOT PERSONALLY CONTRIBUTE! The ploy is deliberate. Factual errors only add to the persuasion because they make you think about the subject.
Brainwashing. - 19 February 2011 at 02:44
- JuliaM said...
"...or are tptb just becoming more confident that the proles will take whatever shit they throw at them?"
It seems to be going quite well so far. For THEM... - 19 February 2011 at 06:16
From Dave Atherton
In the 1970's you may remember experiments on Beagles smoking 100 cigarettes+ a day. Not one contracted lung cancer. Out of all the millions of animals that have been tested they finally found 1 rat with a lung carcinoma.
Show me the bodies. - 19 February 2011 at 09:42
- Longrider said...
Following PTB's comemnts. Here is the list of my deceased felines over the past two decades:
1 - Accidental strangulation
4 - heart failure (3 congenital)
2 - kidney failure (1 congenital)
1 - stroke
1 - rheumatic fever
1 - multiple organ failure
Most of these were moggies well into old age - 12 years plus. How does this relate to Mrs L's roll-ups? - 19 February 2011 at 11:19
The irony is that humans are much more likely to suffer health problems caused by pets. And, of course, most children are involuntarily exposed to these risks. Some are even killed or seriously injured by pets that lose the plot...
One could easily argue that pet owners deserve the same vilification currently reserved solely for smokers. If they're genuinely concerned about health (which, of course, they're not) they should be calling for a ban on pets... - 19 February 2011 at 12:08
- Ivan D said...
I tried to find some real research on smoking and pets but it is a bit thin on the ground. Really ridiculous rubbish is however plentiful. Enjoy
Forget third had smoke and humans. Cats are clearly the way to go if you want to prove how dangerous it can be.
This paper does claim some link with feline myeloma but it is a pretty weak case study as far as I can tell.
http://aje.oxfordjournals.org/content/156/3/268.abstract - 19 February 2011 at 12:47
- Pogo said...
I'm glad that my cats can't read.
Despite living in a household containing two 30-a-day smokers (of which I'm not one) the present "crew" consists of:
One old tabby, 21 and a few months,
One slightly less old tabby, 18,
One moderately ancient longhair, 16,
and the baby, about 8 (but not really sure as he was already adult when he wandered in).
Our losses over the last ten years or so have been aged, 20, 19, 16, 15, 14 and 11, who died from the aftereffects of an operation, all the rest from "natural causes" or euthanasia for same.
So, it's obvious that we're killing them off at a frightening rate! - 19 February 2011 at 14:26
- Pogo said...
- This comment has been removed by the author.
- 19 February 2011 at 14:43
- Pogo said...
Just had a look at one of the studies quoted in the "http://www.no-smoke.org/learnmore.php?id=623" thing from "Ivan"s post...
"Passive Smoking and Canine Lung Cancer Risk" John S. Reif et al.
...A weak relation was found for exposure to a smoker in the home (odds ratio = 1.6, 95% confidence interval 0.7–3.7), after controlling for confounding in stratified analyses. Strong evidence for a further increase in risk associated with more than one smoker in the home was not found, nor was a significant trend observed for increasing number of packs of cigarettes smoked per day or an exposure index based on number of smokers in each household, packs smoked per day, and the proportion of time the dog spent within the home. However, skull shape appeared to exert effect modification; the risk was restricted to breeds with short and medium length noses (odds ratio = 2.4,95% confidence interval 0.7–7.8).
So, basically, for anyone who knows anything about stats, the 95% CIs bracket unity - which essentially means they are not in any way significant and there was no apparent dose response either. All in all, a non-study, that (like most similar things) concludes by suggesting that more study (ie funding) is needed.
So, "Ivan" is absolutely correct, it's a right load of old bollocks. - 19 February 2011 at 14:45
So what would happen? Would all the pets be taken from smokers and be re-housed? Given the number of adverts out there for charities like that Dog's Trust bunch, I doubt it. I would suggest the lion's share would be housed for a month before being humanely executed. And that message remains where it comes to banning new owners as well. If there are less people who are willing or allowed to take pets, there will be fewer animals housed. What do people think happens to animals that can't be housed?
Sadistic bastards! - 19 February 2011 at 15:10
- Dick Puddlecote said...
Anon @ 15:10: The smoking ban has never been about health, likewise the idea of smokers being banned from keeping pets isn't really about the welfare of the pet. They just don't like smokers, so your summation would be correct. :)
- 19 February 2011 at 16:34
- SadButMadLad said...
Further to pogo's comment.
"In statistics, a claim to 95% confidence simply means that the researcher has seen something occur that only happens one time in 20 or less. If one were to roll two dice and get double six (which happens 1/36th of the time, or about 3%), few would claim this as proof that the dice were fixed, although statistically speaking one could have 97% confidence that they were. Similarly, the finding of a statistical link at 95% confidence is not proof, nor even very good evidence, that there is any real connection between the things linked." - 20 February 2011 at 10:48
- Dick Puddlecote said...
Ahem, you guys at VetSurgeon.org are allowed to comment here too, you know. ;)
- 21 February 2011 at 20:32
Puddles: If you can't honestly figure that out, you must not read your own blog much. Strange, that! ;) The comments you don't care to moderate surely aren't a flattering reflection of your blog.
(yes, I'm sure we'll all die angry and alone because your anonymous fans don't like being criticized about smoking. Honestly, Alex never suggested banning smokers from keeping pets. He wrote an article about smoking links to pet illness, and mentioned that some folks think it ought to be banned. It's called "journalism". Not the tabloid rubbish, just reporting of news.
And yes, I'm posting anonymously - if it's good enough for your readers, it's good enough for me! :) - 21 February 2011 at 20:34
(note: before Mr Puddlecote edited his last comment, his post inquired why a topic on vetsurgeon.org called his blog an "offensive blog".)
- 21 February 2011 at 20:36
Dick Puddlecote said...
Ahem, you guys at VetSurgeon.org are allowed to comment here too, you know. We'd love to know why this is termed an 'Offensive blog' over at your place. ;) - 21 February 2011 at 20:40
- Dick Puddlecote said...
"The comments you don't care to moderate surely aren't a flattering reflection of your blog"
Err, comments aren't moderated here unless there is a complaint as it's a libertarian blog believing in free speech.
"Honestly, Alex never suggested banning smokers from keeping pets."
Never said he did, neither did the quote itself. The question mark and the future nature of the headline should have given you a clue as to the nature of the piece, surely?
"And yes, I'm posting anonymously - if it's good enough for your readers, it's good enough for me! :)"
Fine by me. :) - 21 February 2011 at 20:44
- Dick Puddlecote said...
Anon: I changed that as I had just seen an e-mail from Alex (which was in my spam folder unfortunately - hotmail account and ...), so it didn't need asking anymore. :)
- 21 February 2011 at 20:46
Ok, fair 'nuff. I do appreciate that you removed the post calling for alex's children to die.
I think the "offensive" label came from vets being unfairly lumped as bad scientists just because they report on unpopular clinical findings. If your readers don't like the study, nobody's saying you can't disagree - that's the fantastic thing about the scientific method. I'm personally delighted that so many of your readers have pets who have lived long, happy and distinguished lives.
Perhaps someone will author a study pointing this out (with questionnaires, health checkups, and so on to make it an objective health measurements) and then you've written scientific proof, too!
The point being, we can all be civil about it, I hope!
(disclaimer: I hold libertarian views myself.) - 21 February 2011 at 20:58
(sorry for the multiple posting)
I would also like to apologize for calling you "Puddles" - it was uncalled for and I'm sorry. - 21 February 2011 at 20:59
- Dick Puddlecote said...
"vets being unfairly lumped as bad scientists just because they report on unpopular clinical findings"
I think that's been misread (or a result of clunky description here, perhaps). Unfortunately, there are many who quote shoddy science in this area (the kind of studies we regularly scrutinise here) and claim to be 'experts'. No suggestion that vets are claiming such, but there are plenty who do.
On the comment in question, it referred to a particular blog (language alert) you may not know about and the 'offensive' mention of kids is tame by comparison to the accusations of child-murdering that smokers have been subjected to in recent times, believe me.
"I would also like to apologize for calling you "Puddles" - it was uncalled for and I'm sorry."
No need, I've had worse. ;) - 21 February 2011 at 21:10
- Dick Puddlecote said...
Edit: "there are plenty of others who do"
- 21 February 2011 at 21:11


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The article has two very powerful quotes:
Despite average cash injections of $2bn annually over recent years and large untapped gas reserves, electricity capacity remains at about 40 watts per capita, roughly enough to run one vacuum cleaner for every 25 inhabitants.
China manages 466 watts per person, Germany 1,468. South Africa, the continent's economic powerhouse, generates 10 times as much electricity as Nigeria for a population one-third the size.
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Potential investors are hardly filled with confidence when the lights go out at ministries or – terrifyingly – airports.
As Babatunde Fashola, Lagos state governor, said of the [Nigerian business conference] audience: "For them, electricity has become as important as oxygen."And:
As if the audience needed reminding, the organisers added: "The cost of darkness is infinite."


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Cy Endfield directed "Mysterious Island" with a screenplay written by John Prebble, Daniel Ullman and Crane Wilbur, loosely based upon the original novel by French author Jules Verne (1828-1905). The cast is comprised of Michael Craig as Capt. Cyrus Harding, Joan Greenwood as Lady Mary Fairchild, Michael Callan as Herbert Brown, Gary Merrill as Gideon Spilitt, Herbert Lom as Capt. Nemo, Beth Rogan as Elena Fairchild, Percy Herbert as Sgt. Pencroft, and Dan Jackson as Cpl. Neb Nugent. The film was produced by Charles H. Schneer, featuring a grand music score by Bernard Herrmann (recorded with the London Symphony Orchestra), cinematography by Wilkie Cooper, Art Direction by Bill Andrews, and sensational visual effects created by Ray Harryhausen.
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The film opens with a scene from the American Civil War as Federal and Confederate armies face one another during the Siege of Richmond, Virginia in 1865. As a storm rages outside of a Confederate prison, Federal prisoners make plans to escape, hoping to capture an observation balloon despite an armed guard and the furious windstorm aloft. The masterful set design gives a very atmospheric feel to the interior of the prison and the outer courtyard where the balloon is secured in the midst of buffeting winds and heavy rainfall. Through a clever execution of events, the Federal prisoners make their daring escape and manage to take the balloon aloft, narrowly missing a few rifle shots from the Confederate guards as well as avoiding a sharp steeple almost directly in their appointed path of ascent.
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Although Capt. Harding's plan of escape is successful, the group of escapees now includes a Confederate soldier (Sgt. Pencroft) who valiantly attempts but fails to halt the stealing of the balloon. Now there are five passengers in the wicker basket beneath the balloon, including Capt. Harding, Pvt. Herbert Brown, newspaper correspondent Gideon Spilitt, Cpl. Neb Nugent and the aforementioned Sgt. Pencroft (an unwilling participant in the grand escape). As furious winds carry the balloon further and further aloft, Capt. Harding narrates the story via a descriptive voice-over, indicating they are now "prisoners of the wind" in the greatest storm in American history. The group witnesses "forests torn up by their roots," and begins to feel "helpless in the storm's mighty grip." Capt. Harding intuitively speculates internally about ever setting foot on earth again.
Music, Storms & Atmosphere
When someone notices a large body of water below, the group decides to lower the balloon's altitude in order to investigate their exact location. After days of travel initiated by incredible winds, it is thought that they may now be over the Pacific Ocean. As the descent proves to be too fast (due to a stuck release valve), Capt. Harding heroically climbs up the craft's rigging to try to stem the rapid fall but manages only to break the valve. The group is now stuck in mid-air, unable to descend or ascend, frozen at a specific height above the ocean waters below. A storm appears, forcing the crippled vessel to be carried westward in the furious current of the moment, lashed by wind-gusts and torrential patterns of rain. The balloon tears open causing a rapid descent toward the angry waters swirling beneath the imperiled craft. Capt. Harding orders everything of weight to be thrown out, guns, food, ammunition, all in order to reduce heaviness. Everyone must climb the rigging to get closer to the balloon in hopes of jettisoning the wicker basket as a further measure of weight reduction. It is a precarious moment and Herbert hesitates as he looks down upon the violently churning sea far below. Capt. Harding orders Herbert to make a snap decision, "You climb or you drown!" This scene features a magnificent portrait of the sea and the ruptured balloon as the basket is cut loose and falls to earth below. The music of Bernard Herrmann adds immensely to the overall excitement, flavor and atmosphere of the special effects introduced by Ray Harryhausen and the artists involved in this thrilling fantasy film.


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31 Jul Snacks Adapt to Meet Draper Consumer Needs
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Chemicals and Advanced Materials
Chemical Products
Polytetrafluoroethylene Coating
Global PolytetraFluoroethylene Foams Market Research Report
Peers of Hydrocolloids are PolytetraFluoroethylene Composites, PolytetraFluoroethylene Fibers, PolytetraFluoroethylene Films & Sheets and PolytetraFluoroethylene Plastics (Molded) comprising 0.0%, 0.0%, 0.0% and 0.0% respectively of the Global PolytetraFluoroethylene market.
It is segmented on basis of .
What makes our report unique?
- You can request 10% customization in the research matching your exact requirement for e.g. deep dive research in any specific geography or technology or applications.
- There is a new section in the report providing benchmarking of the top players by Strategic, operational, financial and sales/marketing.
Key question answered
- What are market estimates and forecasts; which markets are doing well and which are not?
- What is the competitive landscape; who are the main players in each segment; what are their strategic directives, operational strengths, key selling products, and product pipelines? Who is doing what?
Audience for this report
- PolytetraFluoroethylene Foams companies
1 Introduction
1.1 Objective of the study
1.2 Market Definitions
1.3 Market Segmentation & Aspects Covered
1.4 Research Methodology
1.4.1 Assumptions (Market Size, Forecast, etc)
2 Executive Summary
3 Market Overview
Acrylic Copolymers can be segmented by Geographies, Companies, Applications and Ingredients. Geographies of Acrylic Copolymers are Asia-Pacific, Europe, North America and Rest of World. Companies of Acrylic Copolymers are Air Products and Chemicals, Inc, Nippon Shokubai Co. Ltd., Mitsubishi Chemical Holdings Corporation, Momentive Specialty Chemicals Inc, Hitachi Chemical Company, Arkema S.A., BASF SE , Dow Chemical, Celanese Corporation, American Acryl L.P., Jiangsu Jurong Chemical & Industrial Co. Ltd., LG Chem Ltd., Worlee Chemie GmbH, Shanghai Huayi Acrylic Acid Company Limited and Formosa Plastics Group. Applications of Acrylic Copolymers are Paints & Coatings, Construction, Industrial Applications, Textiles, Plastic Composites, Adhesives & Sealants, Paper and Paperboard and Other Applications. Ingredients of Acrylic Copolymers are Acrylic Acid, Acrylic Esters, Acetone and 1,6 - Hexanediol (HDO).
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Polytetrafluoroethylene Coating


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US Supreme Courtphoto taken by dbking
Today's a pivotal day for video games. The U.S. Supreme Court hears oral arguments in Schwarzenegger vs. Entertainment Merchants Association. The case could decide whether games should be regulated like cigarettes, porn and firearms or whether it deserves First Amendment protection.
There are a lot of different angles to look at the case from. The justices could look at how practical a ban is on selling violent games to minors. I mean how effective can it be when an older sibling can just buy the game for them or they could even play it at a friend's house. Seriously, I've seen homeless men in Berkeley buy M-rated games for *ahem* other people in the same way they'd buy alcohol for teens at 7-Eleven.
The justices could look at whether there's a direct scientific link that proves violent games harms children. That supposition is in dispute. Slate's lovely Emily Bazelon talks about it in her video game First Amendment article. Do violent video games teach children to be more aggressive? There's some doubt about that.`
Another way to look at this case is if the Legislature is overstepping its boundaries, creating a nanny state. Our very own Howard Mintz took a look at the upcoming court case and discusses whether the law goes too far by telling parents what games are too violent for their kids. Even more interesting, he reports that the rating system already in place is enforced more strictly than the comparable movie system. According to the Federal Trade Commission, 80 percent of stores that sell video games refused to sell violent content to minors.
Obviously, you know where I stand on this issue. Quite frankly, the ESRB does an adequate job, and I've been faced with buying violent video games for a minor. A few months ago, my little sister, 13, begged me to buy her two games. One was Halo 3. I had no problem with that. The only concern was actually the people on Xbox Live rather than the in-game content. But the bigger issue came when she asked for Call of Duty: Modern Warfare 2. Knowing what content was in there including the "No Russian" level. I absolutely refused and told her why, knowing that she could play it a friend's house if she so pleased or asked another sibling. I also felt like a hypocrite knowing that when I was 13, I was playing Doom.
Personally, I find that California ban is not fair or practical, but the big question is whether the U.S. Supreme Court thinks so. Do video games deserve strong First Amendment protection? You can follow today's arguments here.
And if you have your own take on this video games case, feel free to comment below.


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Nutrition Conferences
Keep abreast of upcoming conferences in the field of health and nutrition. You can find information on scientific symposia - including many organized and sponsored by the Nestlé Nutrition Institute.
After the event you will be able to find recorded video presentations for you to watch at a time convenient for you.


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we are in tune with the truth that every individual carries the place of their roots with them throughout life. it is our mission to provide high quality, relaxed, and stylish apparel featuring original designs inspired by that place called "home". we respect the strength in the simplicity of statement, the freedom of individualistic expression, and the unassuming confidence of cool. it is a simple fact: few are adventurers, some are explorers, many are wanderers, all are nativ.
nativ was born on the roads and trails of America and through the realization that wherever one may roam the place of your roots is with you always. the place that's home is more than a location but also a spirit that is a part of who you are, how you see the world, and encourages exploration.
nativ tumbler ~ deep red
nativ tumbler ~ olive
nativ tumbler ~ lake blue
camp local sticker
nativ koozie ~ teal
welcome to the nativ hometeam!!


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Welcome to The Old Map Shop!
Continue Shopping
This beautiful Edward Joseph Lowe Fern (Polypodium Longifolium) Antique Botanical Print was printed 1858 and is an original book plate from E. J. Lowe, Ferns British & Exotic. Printed in colour from a wood block engraving with a little hand finishing. This was actually printed in 1858 and not a modern copy or reproduction.
This Lowe print is guaranteed to be over 159+ years old. We do not sell modern reproductions.
The page is approximately 24.5 x 15 cm's or 9.6 x 5.8 inches.
Please study the large scanned image for all details.
The digital watermark is not on the actual print.


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Betapace is a beta-blocker which is prescribed for treating atrial fibrillation or atrial flutter and other types of irregular heart rhythms.
Active Ingredient: sotalol
Availability: In Stock (39 packages)
Free standard Airmail shipping for all packages with price starting from $200.00
Betapace, 40mg
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Product Description
Betapace (Sotalol)
General information
Betapace is in a group of drugs called beta-blockers. It work by slowing down the heart rate and increases the amount of time that a certain area of the heart is not responsive to an electrical signal and by blocking potassium channels in the heart. Betapace is used to help keep the heart beating normally in people with certain heart rhythm disorders of the ventricles (the lower chambers of the heart that allow blood to flow out of the heart). It is used in people with ventricular tachycardia or ventricular fibrillation.
Take Betapace exactly as prescribed by your doctor. The recommended dose for treatment of ventricular arrhythmias is 240 to 320 mg total per day and for atrial fibrillation or atrial flutter - 80 to 160 mg total per day. It is usually taken by mouth one to three times a day. Take it at the same times each day. You can take it either with a meal or on an empty stomach. If you use antacids, do not take them at the same time as sotalol.
Before taking Betapace you should talk with your doctor if you have severe or prolonged diarrhea or vomiting, low electrolytes (low potassium levels), long QT syndrome, peripheral artery disease, kidney disease, kidney failure, diabetes, chest pain (angina), heart failure, sick sinus syndrome, slow heart rate (bradycardia), asthma, chronic obstructive pulmonary disease, overactive thyroid disease (hyperthyroidism), upcoming surgery, any allergies. This drug may make you dizzy. Do not drive or perform tasks that require alertness. Older adults may be more sensitive to the side effects of this drug. Do not take an antacid within 2 hours before or after taking Betapace. Antacids contain different medicines and some types can make it harder for your body to absorb sotalol.
You should not take Betapace if you have allergy to it, sotalol hydrochloride, or any of the inactive components of this medication, asthma, chronic bronchitis, emphysema, uncontrolled congestive heart failure, second- or third-degree heart block, very slow heart rate (bradycardia), cardiogenic shock. Let your doctor know if you are pregnant or breastfeeding.
Possible side effect
Get emergency medical help if you have tiredness, slow heartbeat, dizziness, headache, diarrhea, decreased sexual ability, lightheadedness, shortness of breath, unexplained weight gain, rash, itching, swelling of the face, tongue, throat, chest pain, unusual sweating, nausea, vomiting, sleep problems (insomnia). If you notice other effects not listed above, contact your doctor.
Drug interactions
Tell your doctor about all other medications you use, especially: medicine for asthma (pirbuterol, theophylline, metaproterenol), calcium channel blockers (verapamil, felodipine, nifedipine, diltiazem), diabetes medications (chlorpropamide, metformin, glipizide, glyburide), antidepressants (imipramine, doxepin, amitriptyline, nortriptyline), phenothiazines (perphenazine, thioridazine, fluphenazine), medicines to treat psychiatric disorder (thioridazine, pimozide, haloperidol), antibiotics (clarithromycin, azithromycin, erythromycin), heart rhythm medications (disopyramide, amiodarone, quinidine, dofetilide), diuretics, reserpine, digoxin, clonidine. Interaction between two medications does not always mean that you must stop taking one of them. Tell your doctor or prescriber about all prescription, over-the-counter, and herbal medications you are taking.
Missed dose
Take the missed dose as soon as possible. Skip the missed dose if it is time for your next scheduled dose. Don't take extra medicine to make up the missed dose.
If you think you have overdosed the medicine seek emergency medical help at once. The overdose symptoms are severe dizziness, fainting, slow or fast heartbeat, shortness of breath, chest pain, swelling, hunger, weakness, confusion, seizure.
Store the medicine at room temperature between 59-86 degrees F (15-30 degrees C) away from light and moisture. Do not store the drugs in the bathroom. Keep all drugs away from reach of children and pets.
The information presented at the site has a general character. Note please this information cannot be used for self-treatment and self diagnosis. You should consult with your doctor or health care adviser regarding any specific instructions of your condition. The information is reliable, but we concede it could contain mistakes. We are not responsible for any direct, indirect, special or other damage caused by use of this information on the site and also for consequences of self-treatment.
Packaging info
This is how your parcel will look like, the images are photographs of real shipments.
It has the size of a normal protected envelope and it does not disclose its contents.


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Background Story. This image was a part of a global campaign — print, OOH and digital - for Naked Juice in 2011. This image was one image in a series of 6 ads where the goal was to achieve what we were calling "the Naked Lens" — a superwarm, hard backlit look, complete with lens flare and jeweled tones throughout the image. While it might be an overused look these days — lens flares hadn't... read more ›
1.7K reads


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Yeah, so you got the tentative version of a Top 20 at the arse end of 2002 but a couple more votes came in which helped The Streets to win by a virtual mile. Eventually a nice round 50 votes were cast and this allowed Biffy Clyro to sneak in at the expense of Doves. Cheeky. A massive total of 130 different albums were voted for this year but merit has been given only to what has been decided by democracy and better promo campaigns to be The Top 41.
The Voting
Every staff member was requested to provide a list of 5 of their favourite albums of the year in order of … favouriteness. An incredibly complex points system was devised by yours truly which gave heavier weighting to those albums which were the #1 choices and also those albums which received more than 1 vote but of lower placings. To have made into this list – The Final Cut – the album must have been voted for by a minimum of 2 writers. It made it fairer. Promise.
The Final Cut
- The Streets – Original Pirate Material
- McLusky – Do Dallas
- Foo Fighters – One By One
- Queens Of The Stone Age – Songs For The Deaf
- Idlewild – The Remote Part
- …And You Will Know Us By The Trail Of Dead – Source Tags & Codes
- The Cooper Temple Clause – See This Through And Leave
- Bright Eyes – Lifted Or The Story Is In The Soil Keep Your Ear To The Ground
- Queen Adreena – DrinkMe
- Reindeer Section – Son Of Evil Reindeer
- Sigur Ros – ( )
- Biffy Clyro – Blackened Sky
- Flaming Lips – Yoshimi Battles The Robots
- Ladytron – Light & Magic
- Desaparecidos – Read Music / Speak Spanish
- Six By Seven – The Way I Feel Today
- Interpol – Turn On The Bright Lights
- Tori Amos – Scarlet's Walk
- Sleater Kinney – One Beat
- The Coral – The Coral
- Doves – The Last Broadcast
- Martin Grech - Open Heart Zoo
- Gemma Hayes - Night On My Side
- Miss Black America - God Bless Miss Black America
- Beth Gibbons - Out Of Season
- Norah Jones - Come Away With Me
- Soulwax - 2 Many DJs
- Taking Back Sunday - Tell All Your Friends
- Coldplay – A Rush Of Blood To The Head
- Silverchair - Diorama
- Ben Kweller - Sha Sha
- The Datsuns - The Datsuns
- Squarepusher - Do You Know Squarepusher
- Glassjaw – Worship & Tribute
- Radio 4 – Gotham!
- Boards Of Canada - Geogaddi
- Badly Drawn Boy - About A Boy
- Sugababes – Angels With Dirty Faces
- Beck - Sea Change
- Raging Speedhorn – We Will Be Dead Tomorrow
- Eminem – The Eminem Show
The Truly Exclusive
There were some albums which some of our staff found uniquely beautiful. They alone deemed these albums to be their #1 choice of 2002 yet nobody else saw anything even remotely worthy in them. There's no accounting for taste round here. I wouldn't have it any other way.
Ben Folds - Rockin' The Suburbs (even though it came out in 2001)
Brave Captain - Advertisements For Myself
Breeders – Title TK
City Of Caterpillar - City Of Caterpillar
Coheed & Cambria - The Second Stage Turbine Blade
The Delgados - Hate
Gonzales - Presidential Suite
Jesse James - Punk Soul Brothers
JJ72 - I To Sky
Kid 606 - The Action Packed Mentallist Brings you the Fucking Jams
MC Nabon - MC Nabon
The Pornorphans - Beyond Good And Evil
Remy Zero - The Golden Hum
Rocket From The Crypt - Live From Camp X-Ray
Sevendust - Animosity
The Transplants - Transplants
There were a few of our staff who surpassed all levels of being alternative and chose 5 albums that nobody else voted for (and more than likely will not have even heard of). Adam Anonymous, Ralph Cowling, Steve Gray, Mat Hocking and Joe Shooman: we salute you. Zombina And The Skeletones? I mean, come ON! You can not be serious.
DiS-cuss: How wrong is that list, exactly? Why are such cretins allowed on board here? Why are their opinions allowed to be aired? Why the hell isn't it an alternative to anything else? What kind of number is 41?


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Fashion Gifts
These Are The Gifts That Will Make Your Friends And Family Better To Look At
The AskMen editorial team thoroughly researches & reviews the best gear, services and staples for life. AskMen may get paid if you click a link in this article and buy a product or service.
We want your holidays to be merry and bright. And while we can't actually do your holiday shopping for you, we went ahead and started the legwork. Consider these ideas when gifting the most stylish guys in your life and sail through the stress and guesswork of holiday shopping, offer these suggestions when someone asks you what you would like most under the tree, or just treat yourself this holiday season. Give to someone what you would most like to get back.
Pendleton Men's Burnside Shirt
Give all your brothers a Pendleton Burnside Plaid Shirt. This classic, super-soft, button-down is made of 100% cotton flannel and comes in many different plaids and colorways to choose from. If you're lucky you'll be re-gifted, but it's pretty unlikely as these shirts are definite keepers.
$20.14 at Amazon.com
Tommy Hilfiger Men's Ribbon Inlay Belt
Every person needs a belt. It not only serves its functional purpose of holding your pants up, but it's become a key style accessory for every modern man. Gift with confidence by getting a lucky someone this ribbon inlay belt from Tommy Hilfiger.
$16.25 at Amazon.com
Timberland Men's Heston Waterproof Boot
You know that beat-up, old pair of boots your old man has been wearing forever? Time to retire them and break in a new pair, and these waterproof leather hikers from Timberland are the perfect replacement. We know, we know. "The boots I have are fine". Change minds with this pair made with breathable Gortex that will keep anyone warm and dry.
Starting at $117.71 at Amazon.com
Gerber Bear Grylls Survival Bracelet
Have a buddy with an adventurous side? Help him survive the holiday season with this Gerber Bear Grylls Survival Bracelet. Made of 12 feet of Paracord, this gift is handy in military, hunting and survival situations like last minute shopping on Christmas Eve. And as an added bonus, there's a survival whistle attached in case someone gets lost in the mall.
$8.74 at Amazon.com
Original Penguin Men's Poca Check Tie
Trust us, he'll actually want to wear this polka check tie from Original Penguin. Safe for work with just the right amount of hip for happy hour, this cotton check skinny tie is perfect for anyone.
$32.75 at Amazon.com
Cutter & Buck Men's Overtime Half Zip Overknit Sweatshirt
If he's big and tall, he'll appreciate this pullover quarter-zip from Cutter & Buck. Its all cotton and comes in a bunch of sophisticated muted tones. The contrasting out-stitching adds a modern twist. If he's more likely to layer it over a shirt and tie, make sure to be generous with the sizing.
$56.84 at Amazon.com
Carhartt Men's Acrylic Watch Hat
If he works or plays hard out in the cold, he'll appreciate this hat. It's double-layered for extra warmth, and comes in just about every color imaginable. Priced under $10, this classic Carhartt offering makes a great stocking stuffer. Get one for him and another one for you.
$7.99 at Amazon.com
Lacoste Packable Down Vest
World travelers will love Lacoste's Packable Down Vest — it's all about traveling light. This vest folds up small and won't take up a ton of space in your carry-on luggage. And because it's not bulky, it can be layered under another outwear piece for added warmth. Perfect for transitioning between cities with different climates.
$205.50 at Amazon.com
Ben Sherman Men's Crew Stripe Sweater
If you're looking for the perfect gift for the guy in your life that likes to dress for any and all occasions, this Ben Sherman crew stripe sweater is exactly what you're looking for. It can go from casual to formal-casual with as little as an addition of a button up oxford layered underneath.
$99.00 at Amazon.com
Ray-Ban RB2140 Original Wayfarer Sunglasses
When picking out more personal presents like cologne or sunglasses, it's best to go with proven fan favorites. Ray-Ban Original Wayfarers are one of the most recognizable styles of all time — the easy shape looks pretty damn good on most faces. Need more proof? Ask any of the countless celebs that have rocked the Wayfarer since their initial design in 1952.
$69.99 at Amazon.com
Original Penguin Men's Variegated Knit Scarf
Winter is everyone's opportunity to wear clothes and accessories that are unique to the season, and the scarf definitely fits into that category. This knit scarf comes in a variety of colors and will keep any lucky recipient both warm and stylish throughout the colder months.
$59.50 at Amazon.com
Timex Men's Weekender Slip Through Watch
The Timex Weekender Slip Through watch is a lot of gift for the money. Priced under $50, this casual watch comes on a striped nylon strap and has a backlit face. It's a sporty look for that time-challenged guy who needs help getting there on time.
$39.95 at Amazon.com
Calvin Klein Men's S and Z Jacquard Sweatshirt
Is it a jacket? Is it a sweater? Maybe it's a bit of both. Regardless of what you want to label this piece from Calvin Klein, you know you won't be confused about how stylish it looks. And for the record, they label it a "sweatshirt".
$39.30 at Amazon.com
Patagonia Synchilla Snap-T Pullover
Satisfy the tree hugger in your life with the Synchilla Snap-T-Fleece Pullover from Patagonia. This brand takes their responsibility to the environment very seriously. The Synchilla Snap-T Pullover is made from mostly recycled fleece. It's thick and cozy but still super light with the signature flap pocket on the chest.
$119.99 at Amazon.com
U.S. Polo Assn. Men's Cotton Solid Sport Coat
Every man needs a good clean sports coat. The modern man can make it work in both formal and casual occasions, and this navy cotton solid one from U.S. Polo Assn. is the perfect look for an office Christmas party or for ringing in the New Year in, and every other day after.
$79.99 at Amazon.com
Gifts for Guys
Gift Ideas
Christmas Gift Ideas


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Harlow Onyx Choker
Product Description
Harlow Choker features a Cuban chain choker necklace with a center black stone that adds a touch of luxe. She's truly a show-stopping necklace that can be worn solo for a simple everyday look or stacked with other necklaces.
- Necklace length measures 14 inches/36cm with option to add an extension chain
- Charm measures 11.5 mm x 5 mm
- Chain width measures 3 mm
- Chain style: Cuban chain
- Clasp type: lobster
- Tarnish-resistant, waterproof, safe for sensitive skin
- Lead-free, nickel-free, cadmium-free
- Material: 18k Gold Fill and black onyx cubic zirconia stone
Returns are accepted within 14 days of purchase (exceptions apply). To qualify for return, the item must be in its original condition and packaging. Please visit our Return Policy for more information.
We use gold-filled, gold vermeil, solid gold, and sterling silver for our pieces. Our high-quality materials are tarnish-resistant and hypoallergenic. Visit Materials & Care on how to care for each of your jewelry.
Please allow 2-5 business days for your order to ship with exceptions for preorder items.
All orders are made and shipped from Thailand.
We offer free standard shipping for orders that meet or exceed the following minimum spend:
US/Europe - $125
Canada/Australia - $150
Singapore - $75
Asia - $100
Rest of the World - $150
Please visit shipping policy for all available shipping couriers, fees, and estimated delivery time.
Although rare, there is a possibility that your package may be lost, damaged, or stolen during transit or after receiving the delivery confirmation.
Our shipping carrier provides insurance of up to 1500 Thai baht (approx. $40 USD) for standard shipping and 3000 Thai baht (approx. $90 USD) for express shipping (please refer to our website's conversion rate for accurate conversion).
To ensure your package is fully protected against theft, damage, or loss—especially for items exceeding the limits of standard insurance coverage—Midori has teamed up with Route to offer comprehensive package protection. This additional safeguard is available for a nominal fee and can be easily selected during checkout. It's important to note that Midori cannot assume responsibility for loss, damage, or theft of packages valued beyond our shipping carrier's insurance cap if the Route protection package is not chosen at the time of your order.
If your order value is less than $100 USD, Route charges $0.98 USD to have the value of your package protected. For order value over $100 USD, Route is calculated from 1.5%-5% of the cart total based on several factors (for example, if an order was $150 USD, then Route could be $2.25 USD).
Filing a claim with Route
Route provides a straightforward, self-service option for you to swiftly file a claim, enabling you to secure a refund or replacement with ease. For detailed guidance, kindly refer to their full policy. It is solely the responsibility of the customer to adhere to Route's policy and file any claim in a timely manner to receive reimbursement from Route.
Please see below a brief summary of Route Shipping Protection coverage policy:
Lost in Transit: Claim must be filed between 20 and 30 days from the last shipping update
Stolen (marked as delivered): claim must be filed between 5 and 15 days from when the order was marked delivered
Damaged: claim must be filed with photos of the damaged package and item, no later than 15 days from when the order was marked delivered
Please click here to file a claim with Route.
*Please note that if you do not opt in for Route to protect your package, Midori is not responsible for replacing or refunding your order in the event of loss, theft, or damage during transit or after delivery confirmation.
Midori offers warranty on any full-priced item purchased within the last 90 days (excluding normal wear). Click here for more details on our warranty.
Every order over $50 USD comes with one complimentary branded gift box and velvet pouch. Optional gift messaging available at check out. You may also purchase additional gift boxes here.
Customize your jewelry.
Did you know that we can customize a lot of our jewelry to make it absolutely perfect for our customers? If you're looking for jewelry in specific lengths and sizes, leave us a message and we'll get back to you shortly about your options!


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Last Updated on July 28, 2016
Allen Tate Realtors® , the Carolinas' leading real estate company, has announced that the following individuals have graduated from the company's Winner's Edge training in the Triad region:
- Ashley Cherney, Kirsten Poag – Greensboro-Green Valley
- Keisha Edwards, Steve Scott – Greensboro-N. Elm
- Sydney Mashburn – Winston-Salem
Exclusively for Allen Tate Realtors, Winner's Edge is a required, comprehensive real estate training program. The curriculum includes the latest in national real estate trends, technology, license law, sales and marketing techniques, integrated with detailed information about the local real estate market. As a result of this intensive course of study, Realtors are equipped with the latest tools in the industry in order to serve their clients in a knowledgeable, caring and professional manner.
Since 1957, Allen Tate Realtors has focused on the needs of consumers by providing one-stop shopping with choices in branches located in communities throughout the Carolinas.


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Train Object Detector Using R-CNN Deep Learning
This example shows how to train an object detector using deep learning and R-CNN (Regions with Convolutional Neural Networks).
This example shows how to train an R-CNN object detector for detecting stop signs. R-CNN is an object detection framework, which uses a convolutional neural network (CNN) to classify image regions within an image [1]. Instead of classifying every region using a sliding window, the R-CNN detector only processes those regions that are likely to contain an object. This greatly reduces the computational cost incurred when running a CNN.
To illustrate how to train an R-CNN stop sign detector, this example follows the transfer learning workflow that is commonly used in deep learning applications. In transfer learning, a network trained on a large collection of images, such as ImageNet [2], is used as the starting point to solve a new classification or detection task. The advantage of using this approach is that the pretrained network has already learned a rich set of image features that are applicable to a wide range of images. This learning is transferable to the new task by fine-tuning the network. A network is fine-tuned by making small adjustments to the weights such that the feature representations learned for the original task are slightly adjusted to support the new task.
The advantage of transfer learning is that the number of images required for training and the training time are reduced. To illustrate these advantages, this example trains a stop sign detector using the transfer learning workflow. First a CNN is pretrained using the CIFAR-10 data set, which has 50,000 training images. Then this pretrained CNN is fine-tuned for stop sign detection using just 41 training images. Without pretraining the CNN, training the stop sign detector would require many more images.
Note: This example requires Computer Vision Toolbox™, Image Processing Toolbox™, Deep Learning Toolbox™, and Statistics and Machine Learning Toolbox™.
Using a CUDA-capable NVIDIA™ GPU is highly recommended for running this example. Use of a GPU requires the Parallel Computing Toolbox™. For information about the supported compute capabilities, see GPU Computing Requirements (Parallel Computing Toolbox).
Download CIFAR-10 Image Data
Download the CIFAR-10 data set [3]. This dataset contains 50,000 training images that will be used to train a CNN.
Download CIFAR-10 data to a temporary directory
cifar10Data = tempdir;
url = 'https://www.cs.toronto.edu/~kriz/cifar-10-matlab.tar.gz';
Load the CIFAR-10 training and test data.
[trainingImages,trainingLabels,testImages,testLabels] = helperCIFAR10Data.load(cifar10Data);
Each image is a 32x32 RGB image and there are 50,000 training samples.
ans = 1×4
32 32 3 50000
CIFAR-10 has 10 image categories. List the image categories:
numImageCategories = 10; categories(trainingLabels)
ans = 10×1 cell
{'airplane' }
{'bird' }
{'cat' }
{'deer' }
{'dog' }
{'frog' }
{'horse' }
{'ship' }
{'truck' }
You can display a few of the training images using the following code.
figure thumbnails = trainingImages(:,:,:,1:100); montage(thumbnails)
Create A Convolutional Neural Network (CNN)
A CNN is composed of a series of layers, where each layer defines a specific computation. The Deep Learning Toolbox™ provides functionality to easily design a CNN layer-by-layer. In this example, the following layers are used to create a CNN:
(Deep Learning Toolbox) - Image input layerconvolution2dLayer
(Deep Learning Toolbox) - 2D convolution layer for Convolutional Neural NetworksreluLayer
(Deep Learning Toolbox) - Rectified linear unit (ReLU) layermaxPooling2dLayer
(Deep Learning Toolbox) - Max pooling layerfullyConnectedLayer
(Deep Learning Toolbox) - Fully connected layersoftmaxLayer
(Deep Learning Toolbox) - Softmax layerclassificationLayer
(Deep Learning Toolbox) - Classification output layer for a neural network
The network defined here is similar to the one described in [4] and starts with an imageInputLayer
. The input layer defines the type and size of data the CNN can process. In this example, the CNN is used to process CIFAR-10 images, which are 32x32 RGB images:
% Create the image input layer for 32x32x3 CIFAR-10 images.
[height,width,numChannels, ~] = size(trainingImages);
imageSize = [height width numChannels];
inputLayer = imageInputLayer(imageSize)
inputLayer = ImageInputLayer with properties: Name: '' InputSize: [32 32 3] Hyperparameters DataAugmentation: 'none' Normalization: 'zerocenter' NormalizationDimension: 'auto' Mean: []
Next, define the middle layers of the network. The middle layers are made up of repeated blocks of convolutional, ReLU (rectified linear units), and pooling layers. These 3 layers form the core building blocks of convolutional neural networks. The convolutional layers define sets of filter weights, which are updated during network training. The ReLU layer adds non-linearity to the network, which allow the network to approximate non-linear functions that map image pixels to the semantic content of the image. The pooling layers downsample data as it flows through the network. In a network with lots of layers, pooling layers should be used sparingly to avoid downsampling the data too early in the network.
% Convolutional layer parameters filterSize = [5 5]; numFilters = 32; middleLayers = [ % The first convolutional layer has a bank of 32 5x5x3 filters. A % symmetric padding of 2 pixels is added to ensure that image borders % are included in the processing. This is important to avoid % information at the borders being washed away too early in the % network. convolution2dLayer(filterSize,numFilters,'Padding',2) % Note that the third dimension of the filter can be omitted because it % is automatically deduced based on the connectivity of the network. In % this case because this layer follows the image layer, the third % dimension must be 3 to match the number of channels in the input % image. % Next add the ReLU layer: reluLayer() % Follow it with a max pooling layer that has a 3x3 spatial pooling area % and a stride of 2 pixels. This down-samples the data dimensions from % 32x32 to 15x15. maxPooling2dLayer(3,'Stride',2) % Repeat the 3 core layers to complete the middle of the network. convolution2dLayer(filterSize,numFilters,'Padding',2) reluLayer() maxPooling2dLayer(3, 'Stride',2) convolution2dLayer(filterSize,2 * numFilters,'Padding',2) reluLayer() maxPooling2dLayer(3,'Stride',2) ]
middleLayers = 9x1 Layer array with layers: 1 '' Convolution 32 5x5 convolutions with stride [1 1] and padding [2 2 2 2] 2 '' ReLU ReLU 3 '' Max Pooling 3x3 max pooling with stride [2 2] and padding [0 0 0 0] 4 '' Convolution 32 5x5 convolutions with stride [1 1] and padding [2 2 2 2] 5 '' ReLU ReLU 6 '' Max Pooling 3x3 max pooling with stride [2 2] and padding [0 0 0 0] 7 '' Convolution 64 5x5 convolutions with stride [1 1] and padding [2 2 2 2] 8 '' ReLU ReLU 9 '' Max Pooling 3x3 max pooling with stride [2 2] and padding [0 0 0 0]
A deeper network may be created by repeating these 3 basic layers. However, the number of pooling layers should be reduced to avoid downsampling the data prematurely. Downsampling early in the network discards image information that is useful for learning.
The final layers of a CNN are typically composed of fully connected layers and a softmax loss layer.
finalLayers = [ % Add a fully connected layer with 64 output neurons. The output size of % this layer will be an array with a length of 64. fullyConnectedLayer(64) % Add an ReLU non-linearity. reluLayer % Add the last fully connected layer. At this point, the network must % produce 10 signals that can be used to measure whether the input image % belongs to one category or another. This measurement is made using the % subsequent loss layers. fullyConnectedLayer(numImageCategories) % Add the softmax loss layer and classification layer. The final layers use % the output of the fully connected layer to compute the categorical % probability distribution over the image classes. During the training % process, all the network weights are tuned to minimize the loss over this % categorical distribution. softmaxLayer classificationLayer ]
finalLayers = 5x1 Layer array with layers: 1 '' Fully Connected 64 fully connected layer 2 '' ReLU ReLU 3 '' Fully Connected 10 fully connected layer 4 '' Softmax softmax 5 '' Classification Output crossentropyex
Combine the input, middle, and final layers.
layers = [ inputLayer middleLayers finalLayers ]
layers = 15x1 Layer array with layers: 1 '' Image Input 32x32x3 images with 'zerocenter' normalization 2 '' Convolution 32 5x5 convolutions with stride [1 1] and padding [2 2 2 2] 3 '' ReLU ReLU 4 '' Max Pooling 3x3 max pooling with stride [2 2] and padding [0 0 0 0] 5 '' Convolution 32 5x5 convolutions with stride [1 1] and padding [2 2 2 2] 6 '' ReLU ReLU 7 '' Max Pooling 3x3 max pooling with stride [2 2] and padding [0 0 0 0] 8 '' Convolution 64 5x5 convolutions with stride [1 1] and padding [2 2 2 2] 9 '' ReLU ReLU 10 '' Max Pooling 3x3 max pooling with stride [2 2] and padding [0 0 0 0] 11 '' Fully Connected 64 fully connected layer 12 '' ReLU ReLU 13 '' Fully Connected 10 fully connected layer 14 '' Softmax softmax 15 '' Classification Output crossentropyex
Initialize the first convolutional layer weights using normally distributed random numbers with standard deviation of 0.0001. This helps improve the convergence of training.
layers(2).Weights = 0.0001 * randn([filterSize numChannels numFilters]);
Train CNN Using CIFAR-10 Data
Now that the network architecture is defined, it can be trained using the CIFAR-10 training data. First, set up the network training algorithm using the trainingOptions
(Deep Learning Toolbox) function. The network training algorithm uses Stochastic Gradient Descent with Momentum (SGDM) with an initial learning rate of 0.001. During training, the initial learning rate is reduced every 8 epochs (1 epoch is defined as one complete pass through the entire training data set). The training algorithm is run for 40 epochs.
Note that the training algorithm uses a mini-batch size of 128 images. If using a GPU for training, this size may need to be lowered due to memory constraints on the GPU.
% Set the network training options opts = trainingOptions('sgdm', ... 'Momentum', 0.9, ... 'InitialLearnRate', 0.001, ... 'LearnRateSchedule', 'piecewise', ... 'LearnRateDropFactor', 0.1, ... 'LearnRateDropPeriod', 8, ... 'L2Regularization', 0.004, ... 'MaxEpochs', 40, ... 'MiniBatchSize', 128, ... 'Verbose', true);
Train the network using the trainNetwork
(Deep Learning Toolbox) function. This is a computationally intensive process that takes 20-30 minutes to complete. To save time while running this example, a pretrained network is loaded from disk. If you wish to train the network yourself, set the doTraining
variable shown below to true.
Note that a CUDA-capable NVIDIA™ GPU is highly recommended for training.
% A trained network is loaded from disk to save time when running the % example. Set this flag to true to train the network. doTraining = false; if doTraining % Train a network. cifar10Net = trainNetwork(trainingImages, trainingLabels, layers, opts); else % Load pre-trained detector for the example. load('rcnnStopSigns.mat','cifar10Net') end
Validate CIFAR-10 Network Training
After the network is trained, it should be validated to ensure that training was successful. First, a quick visualization of the first convolutional layer's filter weights can help identify any immediate issues with training.
% Extract the first convolutional layer weights w = cifar10Net.Layers(2).Weights; % rescale the weights to the range [0, 1] for better visualization w = rescale(w); figure montage(w)
The first layer weights should have some well defined structure. If the weights still look random, then that is an indication that the network may require additional training. In this case, as shown above, the first layer filters have learned edge-like features from the CIFAR-10 training data.
To completely validate the training results, use the CIFAR-10 test data to measure the classification accuracy of the network. A low accuracy score indicates additional training or additional training data is required. The goal of this example is not necessarily to achieve 100% accuracy on the test set, but to sufficiently train a network for use in training an object detector.
% Run the network on the test set. YTest = classify(cifar10Net, testImages); % Calculate the accuracy. accuracy = sum(YTest == testLabels)/numel(testLabels)
accuracy = 0.7456
Further training will improve the accuracy, but that is not necessary for the purpose of training the R-CNN object detector.
Load Training Data
Now that the network is working well for the CIFAR-10 classification task, the transfer learning approach can be used to fine-tune the network for stop sign detection.
Start by loading the ground truth data for stop signs.
% Load the ground truth data data = load('stopSignsAndCars.mat', 'stopSignsAndCars'); stopSignsAndCars = data.stopSignsAndCars; % Update the path to the image files to match the local file system visiondata = fullfile(toolboxdir('vision'),'visiondata'); stopSignsAndCars.imageFilename = fullfile(visiondata, stopSignsAndCars.imageFilename); % Display a summary of the ground truth data summary(stopSignsAndCars)
Variables: imageFilename: 41×1 cell array of character vectors stopSign: 41×1 cell carRear: 41×1 cell carFront: 41×1 cell
The training data is contained within a table that contains the image filename and ROI labels for stop signs, car fronts, and rears. Each ROI label is a bounding box around objects of interest within an image. For training the stop sign detector, only the stop sign ROI labels are needed. The ROI labels for car front and rear must be removed:
% Only keep the image file names and the stop sign ROI labels stopSigns = stopSignsAndCars(:, {'imageFilename','stopSign'}); % Display one training image and the ground truth bounding boxes I = imread(stopSigns.imageFilename{1}); I = insertObjectAnnotation(I,'Rectangle',stopSigns.stopSign{1},'stop sign','LineWidth',8); figure imshow(I)
Note that there are only 41 training images within this data set. Training an R-CNN object detector from scratch using only 41 images is not practical and would not produce a reliable stop sign detector. Because the stop sign detector is trained by fine-tuning a network that has been pre-trained on a larger dataset (CIFAR-10 has 50,000 training images), using a much smaller dataset is feasible.
Train R-CNN Stop Sign Detector
Finally, train the R-CNN object detector using trainRCNNObjectDetector
. The input to this function is the ground truth table which contains labeled stop sign images, the pre-trained CIFAR-10 network, and the training options. The training function automatically modifies the original CIFAR-10 network, which classified images into 10 categories, into a network that can classify images into 2 classes: stop signs and a generic background class.
During training, the input network weights are fine-tuned using image patches extracted from the ground truth data. The 'PositiveOverlapRange' and 'NegativeOverlapRange' parameters control which image patches are used for training. Positive training samples are those that overlap with the ground truth boxes by 0.5 to 1.0, as measured by the bounding box intersection over union metric. Negative training samples are those that overlap by 0 to 0.3. The best values for these parameters should be chosen by testing the trained detector on a validation set.
For R-CNN training, the use of a parallel pool of MATLAB workers is highly recommended to reduce training time. trainRCNNObjectDetector
automatically creates and uses a parallel pool based on your Computer Vision Toolbox Preferences. Ensure that the use of the parallel pool is enabled prior to training.
To save time while running this example, a pretrained network is loaded from disk. If you wish to train the network yourself, set the doTraining
variable shown below to true.
Note that a CUDA-capable NVIDIA™ GPU is highly recommended for training.
% A trained detector is loaded from disk to save time when running the % example. Set this flag to true to train the detector. doTraining = false; if doTraining % Set training options options = trainingOptions('sgdm', ... 'MiniBatchSize', 128, ... 'InitialLearnRate', 1e-3, ... 'LearnRateSchedule', 'piecewise', ... 'LearnRateDropFactor', 0.1, ... 'LearnRateDropPeriod', 100, ... 'MaxEpochs', 100, ... 'Verbose', true); % Train an R-CNN object detector. This will take several minutes. rcnn = trainRCNNObjectDetector(stopSigns, cifar10Net, options, ... 'NegativeOverlapRange', [0 0.3], 'PositiveOverlapRange',[0.5 1]) else % Load pre-trained network for the example. load('rcnnStopSigns.mat','rcnn') end
Test R-CNN Stop Sign Detector
The R-CNN object detector can now be used to detect stop signs in images. Try it out on a test image:
% Read test image testImage = imread('stopSignTest.jpg'); % Detect stop signs [bboxes,score,label] = detect(rcnn,testImage,'MiniBatchSize',128)
bboxes = 1×4
419 147 31 20
score = single
label = categorical categorical
The R-CNN object detect
method returns the object bounding boxes, a detection score, and a class label for each detection. The labels are useful when detecting multiple objects, e.g. stop, yield, or speed limit signs. The scores, which range between 0 and 1, indicate the confidence in the detection and can be used to ignore low scoring detections.
% Display the detection results [score, idx] = max(score); bbox = bboxes(idx, :); annotation = sprintf('%s: (Confidence = %f)', label(idx), score); outputImage = insertObjectAnnotation(testImage, 'rectangle', bbox, annotation); figure imshow(outputImage)
Debugging Tips
The network used within the R-CNN detector can also be used to process the entire test image. By directly processing the entire image, which is larger than the network's input size, a 2-D heat-map of classification scores can be generated. This is a useful debugging tool because it helps identify items in the image that are confusing the network, and may help provide insight into improving training.
% The trained network is stored within the R-CNN detector
ans = SeriesNetwork with properties: Layers: [15×1 nnet.cnn.layer.Layer]
Extract the activations
(Deep Learning Toolbox) from the softmax layer, which is the 14th layer in the network. These are the classification scores produced by the network as it scans the image.
featureMap = activations(rcnn.Network, testImage, 14);
% The softmax activations are stored in a 3-D array.
ans = 1×3
43 78 2
The 3rd dimension in featureMap corresponds to the object classes.
ans = 2×1 cell
{'stopSign' }
The stop sign feature map is stored in the first channel.
stopSignMap = featureMap(:, :, 1);
The size of the activations output is smaller than the input image due to the downsampling operations in the network. To generate a nicer visualization, resize stopSignMap
to the size of the input image. This is a very crude approximation that maps activations to image pixels and should only be used for illustrative purposes.
% Resize stopSignMap for visualization [height, width, ~] = size(testImage); stopSignMap = imresize(stopSignMap, [height, width]); % Visualize the feature map superimposed on the test image. featureMapOnImage = imfuse(testImage, stopSignMap); figure imshow(featureMapOnImage)
The stop sign in the test image corresponds nicely with the largest peak in the network activations. This helps verify that the CNN used within the R-CNN detector has effectively learned to identify stop signs. Had there been other peaks, this may indicate that the training requires additional negative data to help prevent false positives. If that's the case, then you can increase 'MaxEpochs' in the trainingOptions and re-train.
This example showed how to train an R-CNN stop sign object detector using a network trained with CIFAR-10 data. Similar steps may be followed to train other object detectors using deep learning.
[1] Girshick, R., J. Donahue, T. Darrell, and J. Malik. "Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation." Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition. Columbus, OH, June 2014, pp. 580-587.
[2] Deng, J., W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. "ImageNet: A Large-Scale Hierarchical Image Database." Proceedings of the 2009 IEEE Conference on Computer Vision and Pattern Recognition. Miami, FL, June 2009, pp. 248-255.
[3] Krizhevsky, A., and G. Hinton. "Learning multiple layers of features from tiny images." Master's Thesis, University of Toronto. Toronto, Canada, 2009.
[4] https://code.google.com/p/cuda-convnet/
See Also
| trainingOptions
(Deep Learning Toolbox) | trainRCNNObjectDetector
| fastRCNNObjectDetector
| fasterRCNNObjectDetector
| trainFastRCNNObjectDetector
| trainFasterRCNNObjectDetector
| classify
(Deep Learning Toolbox) | detect
| activations
(Deep Learning Toolbox)
Related Topics
- Object Detection Using Faster R-CNN Deep Learning
- Deep Learning in MATLAB (Deep Learning Toolbox)


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