text:
Though to be fair, only the cool teams lose to Holy Cross
The Eagles and Gophers meet for the first time since 2011.
The #4 Eagles defeated #5 Harvard 3-1 on Saturday to advance to their third consecutive Frozen Four
The No. 4 women's hockey team (26-6-3, 17-2-2 WHEA) will try to punch its ticket to a third consecutive Frozen Four appearance on Saturday in NCAA Quarterfinal action against No. 5 Harvard (24-6-3,...
BC ranked #3 in latest poll
The #4 Boston College women's hockey team fell to #1 Wisconsin in the Women's Frozen Four, while the #1 BC men took care of business against Providence.
Boston College Daily Links: BC Hockey Remains Unanimous #1 #bchockey
2012 NCAA Women's Hockey Championship: Boston College Vs. St. Lawrence (1 PM, BCEagles.com)
A preview of the 2012 NCAA Women's Hockey tournament. Boston College will make a run, but Cornell will skate away with the hardware for the first title by an eastern team in NCAA history.
Boston College Women's Hockey earned home ice and the #4 overall seed in the NCAA Tournament. The Eagles will host St. Lawrence on Saturday at 1pm at Conte Forum.
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Two-Minute Lick - John Cox
Born and raised in Lexington, Ky., John Cox grew up attending the races at Keeneland, Churchill Downs, and Saratoga. His family's company, Thorough-Graphics in Lexington, has been serving horsemen for more than 30 years. Cox served as a marketing intern at Keeneland, an assistant staff writer for Brisnet.com, Tote-board operator for Fasig-Tipton Sales Co., and spent a summer working with yearlings at Lane's End Farm, in addition to marketing and sales responsibilities at Thorough-Graphics. Cox is a University of Kentucky alum, and also graduated from the Missouri Auction School in 2008. In addition to horse racing, Cox also loves University of Kentucky sports, music and golf.
Name: John F. Cox
Hometown: Lexington, Ky.
How and when I was introduced to Thoroughbred racing: I remember going to Saratoga with my family when I was about seven or eight. We went to the track several times, went to the Hall of Fame induction and the sales. After that I was hooked.
My favorite racetrack: Keeneland - I haven't had the most luck there, but the ambience and sheer beauty of the place are unbeatable.
My favorite Thoroughbred racing event: The Kentucky Derby (G1). Whether you are for or against 20 horses in one race, it's the most-watched, most-gambled-on race in the country, and the most exciting two minutes in sports.
If I could bring anyone to my favorite Thoroughbred racing event, it would be: I'd probably invite Justin Bieber and just tell him to find us some dates. Say what you want about the guy's music, but if I could get him to tweet about horse racing all day, it'd be very beneficial to our sport.
Other sports/teams I follow: University of Kentucky basketball and football, NFL, NBA and the PGA Tour
What I would like to see more of in Thoroughbred Racing: I would like to see more people my age and more mainstream media coverage.
What I would like to see less of in Thoroughbred Racing: Negativity
Three words that define what Thoroughbred Racing means to me: Epic, Sporting, Tradition
Favorite all-time Thoroughbred: Cigar. He was a comet amongst stars in racing when I was growing up.
My personal best moment in the sport of Thoroughbred racing: I worked as an intern for Keeneland during its 75th Anniversary meet. The entire experience was awesome, but especially when we had live coverage of the QEII Challenge Cup on NBC.
Best racetrack food can be found at: Keeneland clubhouse.
My favorite jockey: Mike Smith
My favorite trainer: Charlie Lopresti
My heroes: My parents, my grandmother and John F. P. Mayer
Person in Thoroughbred racing I'd like to have dinner with: Cot Campbell
Favorite animal other than a horse: Dog
Favorite non-Thoroughbred racing sports event I have attended: Kentucky football knocking off #1 ranked LSU at Commonwealth Stadium in 2007
Favorite musician/band: Musician: Drake; Band: The Band
Favorite TV Show: "Workaholics"
Websites I visit daily: Kentucky Sports Radio, Blood-Horse, Huffington Post, Bleacher Report
Favorite movie about horse racing: Seabiscuit
What I like about my job: Promoting something I love, while traveling to places I've always wanted to go and meeting some really cool people in the process.
Favorite tech gadget: My iPad
Twitter handle: @Cox_Talks
People I follow on Twitter: @DrewFranklinKSR, @KYTBred, @KYforKY
Funniest fellow Brand Ambassador: Mary Frances Dale
Race event I am most excited to see this year on the ABRV Tour: The Breeders' Cup. I've never been to California before so I can't wait to see Santa Anita and to see the best of the best compete.
What are three must-haves you'll be taking with you on the ABRV Tour? Sunglasses, Music, Camera
What are some qualities you are looking for in a bus driver? I'm envisioning Chris Farley's character from Billy Madison. "No yelling on the bus!"
Which celebrity should be the seventh Brand Ambassador? I'd want Bieber. If he was on the tour, we'd be more popular than the NFL by the end of the year.
What's the most money you ever won at a track? I hit a pick 4 that paid a little over $800 one time. Don't ask me the most I've ever lost.
Favorite horse racing digital game: FantasyCapping. It's simple, competitive, and fun for anyone regardless of your horse racing knowledge.
Where I want to be in five years: It'd be cool to work for a major TV network covering racing. If not that, I'd like to work for a Thoroughbred sales company.
Favorite expression overheard at a race track? "Fire away."
Why should Millennials be attracted to Thoroughbred racing? There is always something going on. There's no off-season. It's more affordable to attend than most other professional sporting events. When the weather is nice, it's unbeatable. It's a unique tradition where you can get dressed up to go eat, drink, and gamble legally on the most elegant athletes in the world.
Leno, Letterman or Kimmel? Conan
Hidden talents: I enjoy singing, I'm not sure I'd call it a talent. Get me on a dance floor, though, and I'll cut some rug.

subset: commoncrawl


text:
'Gangnam Style' infects the Army, thanks to a Naples filmmaker
When South Korean rapper PSY posted his music video "Gangnam Style" to YouTube in July it didn't take long for the video to become a viral hit. The oddball video, featuring models being pelting in the face with confetti and the chubby rapper doing his signature pony dance, has garnered more than 400 million views.
Fans of the video have taken to creating their own takes and spoofs on the catch tune. One of the latest "Gangnam Style" videos making the Web rounds has a Southwest Florida connection. Cameron Novak, of Naples, created a "Gangnam Style" video that features his fellow cadets at the United States Military Academy at West Point cheering the Army on for its traditional game with Navy.
We talked with Novak to find out more about his video.
Naples Daily News: What inspired you to make the video?
Cameron Novak: "What inspired me was the original song and video 'Gangnam Style' by PSY. I loved it and watched it probably 30 times. West Point has a modern tradition of creating spirit videos to support the Army Football team and I figured 'what better spirit video to make than a rendition of Cadets dancing to the most viral video out there?'"
NDN: Was this the first time you have made a film?
Novak: "No, all throughout high school I made movies — nothing to serious but I had a lot of fun with my friends filming everything I could. I entered the (Gulf Coast High School) film festival a few times and got a chance to film with a production company from Naples at the Walt Disney World Resort, which was pretty cool. It is definitely my hobby and something that I have a knack for."
NDN: How did you get your fellow cadets involved with the project and how long did it take to make/film the video?
Novak: "I was originally going to make this video on my own with my fellow freshman or 'plebes' as we are called, but I caught wind that some upperclassmen were also planning on making the video, so we collaborated — which worked out in my favor since they had access to the various facilities and approval authorities involved with the video.
I have to give them a lot of credit; the managing team and production team were incredibly useful in pulling this video off. A Also the enthusiasm for one-upping (the United States Navy Academy) ... provided a ton of willing cadets to dance.
We started filming about three weeks ago, right after Navy's video came out. We knew we needed to get this out there before the fad had passed over. I edited the majority of it within the last few days before it was released.
NDN: It looks like portions of your video were filmed on campus, was the school aware that you were making the video?
Novak: Using West Point's historic campus was a must for this video. After all, we wanted this to be the Cadets' version so the uniforms and buildings were a big part of it. Before we even started we had all the approval authority that we needed. Many times we had Army officers overlooking our filming sessions to ensure nothing was unbecoming of a West Point Cadet. Granted we are a little more loose in the video than normal everyday life, but the goal is to show that even though we go to a prestigious military academy, we can still have fun and we are still normal adults.
If all your friends are at the Naval Academy, you may want to see their version:
And if you want to know what Gangnam style is, period, take a look at the original:
By now, you're in the Gangnam groove, so here's one for "Star Trek" fans, done by Klingons:
NDN: What do you think makes your video stand out from the other "Gangnam Style" videos on the Web?
Novak: I think mine video is one of the more well-made ones out there. I love seeing the comments from people saying "That was better than the original!" Our main focus, though, was on the battle between the service academies. We wanted to make sure we defeated Navy and Air Force and in that sense I certainly feel that we did.
NDN: What was your reaction when you heard/saw your video on TV?
Novak: When my mother showed me the clip of my video on TV, I had the biggest smile on and I instantly uploaded it to our Facebook page here at the academy to share with my fellow plebes and everyone involved. It has been interesting and overwhelming experience seeing how many people have watched my video on YouTube, last time I checked it was at almost 700,000 in less than 72 hours. It has been great.
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text:
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Page 1
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This Shenmue fan remade a bunch of the game in HD, and it's beautiful
In a world filled with horrible gaming tattoos, this isn't one of them
This is how Batman would look as a Final Fantasy character
The new Liara statue is a lot better than the last one
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You could own the world's largest video game collection
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text:
Apple iPhone 4S - 64GB - white (AT&T)
Manufacturer: Apple Part number: 5370353
- More product information:
- Editors' review
- User reviews
- Specifications
- Product series
- Manufacturer info
- Bottom Line:
- The iPhone 4S isn't the king of cell phones, but it's part of the royal family nonetheless. Even without 4G and a giant screen, this phone's smart(ass) voice assistant, Siri, the benefits of iOS 5, and its spectacular camera make it a top choice for anyone ready to upgrade.
Read more
Where to buy
|customer rating
|tax & shipping
| In stock
Get free shipping on orders over $35.00
Enter zip code to get total price:
=Total price
as of 09/01/2014
CNET editors' review
price range: $399.99
- Reviewed by: Kent German
- Reviewed on: 10/13/2011
- Released on: 10/14/2011
The good: Apple's iPhone 4S has a faster processor and an upgraded camera, all the benefits of iOS 5, and a useful and immensely fun voice assistant. Call quality on the Sprint model is admirable, and the data speeds, while certainly not 4G, get the job done.
The bad: It's about time we get a larger screen.
The bottom line: The iPhone 4S isn't the king of cell phones, but it's part of the royal family nonetheless. Even without 4G and a giant screen, this phone's smart(ass) voice assistant, Siri, the benefits of iOS 5, and its spectacular camera make it a top choice for anyone ready to upgrade.
User reviews
Radical Voice Control, But Mainly Via WiFi
by JasonCoats on December 19, 2011
Pros: iPhone 4S is more than twice as fast as the iPhone 4
iOS 5 comes with more than 200 new features
Powerful processor and excellent camera
Good build quality
Cons: There's no Flash Player
Summary: The iPhone 4S resembles the iPhone 4 almost exactly*, but inside it is a substantially improved phone. As importantly, it introduces Siri, the first voice-control system that I've tried ...
Summary: The iPhone 4S resembles the iPhone 4 almost exactly*, but inside it is a substantially improved phone. As importantly, it introduces Siri, the first voice-control system that I've tried which really does work. When it's working it seems more or less like magic. However, it needs wifi and fast wifi at that to work properly. Overall we are delighted with these phones, and would recommend to any 3GS users out there. iPhone 4 users need to decide how important the faster response, better camera, and, above all, voice control is to them...
The three big features in depth
1) Speed
The iPhone 4S is more than twice as fast as the iPhone 4. This is important, because anything less than twice as fast doesn't really feel much different. It's especially noticeable when taking pictures (virtually no lag), when downloading email, when opening web pages, and when running searches of all kinds. I'm told that this speed hike is down to a 2x speed processor, a much faster graphic chip, and much faster 3G connection. The technical can figure out exactly what difference all that makes. The difference in my hand, though, is that things which seemed sluggish before now feel quick, and things that felt quick now feel instant.
2) Camera
The 8MP camera on the rear of the iPhone 4S is higher resolution than my first digital SLR. However, megapixels aren't everything, and on a very small sensor of the kind they put in phones, more megapixels means more noise, less dynamic range, and poorer colour, all other things being equal. I was a bit sceptical of the new camera. The autofocus is vastly improved, the colours are much better, it's really, really quick, and built in HDR means that it's now capturing shots that really look like they've come from a camera, not from a phone. The price of this, of course, is that the images are now 2.8 MB, which means you'll almost certainly want to scale them down before sending to most people, which slightly wastes the point of having 8 megapixels. If you're not convinced, I'm uploading a picture of some home grown tomatoes -- it's scaled down, but you can still see how true the colours are.
3) Siri
I've flirted with voice control on various things for years. IBM Via Voice, the Mac's own speech recognition, the TomTom, and Dragon Naturally Speaking, Vlingo and many others. None of them have ever really been much use to me. Dragon especially cost me more time correcting what it thought I'd said than I ever saved by using it. With Siri, I was able to send an email word-perfect, make an appointment (and have it offer to call the person I wanted to meet), find stuff on the internet and generally get done what I wanted done, all without any hassle whatsoever.
In a very real sense, Siri 'just works'.
In another sense, it doesn't.
The difficulty is that Siri is using Apple's own computers elsewhere to work out what you've said, so a slow connection over 3G, or over slow wifi, or over quick wifi when there's a lot of traffic on your system (for example, you are running a big TimeMachine backup) means that it goes a lot slower and gives up half the time. Unless you live in a city where there's lots of public wifi that isn't overloaded (I personally find that The Cloud and Openzone are usually slower for most tasks than 3G), don't expect to walk down the street barking out instructions to your iPhone and have it follow them. The noise doesn't seem to bother it very much (in itself quite impressive), but slow connection means essentially no Siri.
iOS 5
iOS 5 comes with more than 200 new features, almost all of which work on the iPhone 3GS and the iPhone 4 (though not the 3G), except for Siri which is 4S only. I upgraded my 3GS to iOS 5 a couple of days before the iPhone 4S arrived. There are some brilliant new features, especially to do with the camera, a lot of tweaks, and the addition of iCloud online storage. All these work on all three phones. You only get 5GB with iCloud, unless you want to pay more, so I immediately turned off remote backup on all my iOS devices. Still, it's very good for taking a photo on one device and having it on another instantly without having to do anything about it. However, all these are arguments to stick with the phone you've got, rather than go for the iPhone 4S.
A lot of people were very disappointed that the iPhone 4S wasn't called the iPhone 5. I'm not really sure why a different name would be important. Others were disappointed that it had the same case design. For me, a different case design would have been a deal breaker, as it wouldn't have fitted in the built-in iPhone cradle in my car. All in all, this is a powerful, quick device which looks good and feels sleek (possibly too sleek -- like the iPhone 4, it's a bit slippery and probably easy to drop). The call quality is very good indeed, and, thus far, I haven't noticed any signal drop outs - or, at least, no more than you've always had with mobile phones. If you will buy the iPhone 4S, I suggest you have to check for best deal before you decide at: bestdealschecking.info/iphone-4s/
Overall, we are very impressed, despite the difficulty of using Siri away from fast wifi.
8 out of 8 users found this user opinion helpful.
Solid update, and a much, much faster phone.
by johnpford_dotmac on October 14, 2011
Pros: 1) App Selection
2) Speed(Very Snappy)
3) Camera is fast and excellent
Cons: 1) No 4G
2) Must use Cloud services for external storage(which isn't a bad thing).
3) No 802.11a. Only 802.11bgn, But really no one really supports a on phones.
Summary: Good rock solid phone with a ton more polish, very fast, and I'm liking where the cloud services are going. In fact if you don't do games or ...
Summary: Good rock solid phone with a ton more polish, very fast, and I'm liking where the cloud services are going. In fact if you don't do games or need to carry a huge iTunes selection I would go with the small one. iCloud(free) stores all your pics, iTunes songs, etc for free.
4 out of 4 users found this user opinion helpful.
Amazing phone further pushes Apple ahead of the pack.
by madness008 on October 15, 2011
Pros: 1: Siri
2: Extremely fast processor. Leaves all other phones in the dust.
3: Best camera on any phone.
4: Robust, intuitive operating system.
5: No malware in the app store
6: Reminders using GPS is extremely useful.
7: Airplay
Cons: Trying to think of something to put here, but it really is a flawless phone.
3 out of 3 users found this user opinion helpful.
One phone that wins them all for all to use.
by chrishd3z on November 8, 2011
Pros: Excellent true 8 megapixel camera.
Great gym and running companion.
Construction is a pleasure. Just the right size for everyone to handle comfortably.
Screen is gorgeous.
Siri helps me more than I expected when it comes to setting up daily reminders, app
Cons: Battery life could of been better.
Would of loved a bigger screen, while still keeping same dimensions.
No distinguishable physical differences between last years model.
Unfortunately I still suffer from dropped calls (AT&T).
Summary: I "was" a big Android fan ever since it surfaced. Switching to the iPhone 4S wasn't an easy choice but in the end there are no regrets. You see, ...
Summary: I "was" a big Android fan ever since it surfaced. Switching to the iPhone 4S wasn't an easy choice but in the end there are no regrets. You see, I enjoy the openness of Android but now I see that all these years there were two elements that I was missing. An excellent camera that I can actually use during day and night and a device that can be an effective workout companion. The iPhone 4S finally took care of those issues. The camera is a joy to use and I'm glad to know that it won't disappoint. I can go out to a late night event and not worry about having sub par or pathetic pictures because I didn't bring along
my dedicated camera.
In regards to having an iPhone as a gym companion... It really works out for the best. I can run outside and track my runs and I can also listen to my favorite gym songs without a problem. Android device can do these things but they just don't do it as effectively. The iPhone 4S just has the right form factor, apps, and quality to do it better.
I may not have the ability to customize my phone as much as I did so with Android but the pros of having an iPhone out beat such ability. In the end you just can't go wrong with an iPhone. Apple has won me over and I'm glad to say that I'm in the iPhone league. I may not have the the biggest screen or the biggest spec's but everything just works flawlessly.
Last but not least, Siri. I didn't think that I would be using it much when I purchased the iPhone 4S but I'm surprised to say that I do. Many might say that it is a gimmick but I beg to differ. Siri is there at times when going through your phone is not an easy option. I have been able to accomplish many tasks while running or biking that wouldn't have been possible before. Being read a text that just came in,
setting up a reminder that just came into mind and even requesting to play a specific "power song" needed for that last extra mile. Siri is in fact an excellent assistant that would only get better as it matures and integrates other apps.
If you are an Android user as I was, and are looking for the next big thing, than the iPhone 4S might just be that device you were looking for.
2 out of 2 users found this user opinion helpful.
Best phone on the market currently, hands down!
by roost285 on October 17, 2011
Pros: Siri
Battery life
Built in iPod
Goes on and on!
Cons: Screen size
Summary: Amazing! Siri is the coolest feature of phone once you get use to how she works. Camera is the best out of any phone. Faster then previous iPhone 4. Facetime. ...
Summary: Amazing! Siri is the coolest feature of phone once you get use to how she works. Camera is the best out of any phone. Faster then previous iPhone 4. Facetime. iCloud. ETC!
1 out of 1 users found this user opinion helpful.
Same great iPhone with beefed up internals!
by bnekic on October 16, 2011
Pros: A5 Chip
8MP Sony Camera
New Antenna Design
14.4 HSPA+ using AT&T
64GB Storage
Cons: Same 3.5in screen.
Summary: Best smartphone on the market from the company that brought us the first touchscreen smartphone in 2007!
Summary: Best smartphone on the market from the company that brought us the first touchscreen smartphone in 2007!
1 out of 1 users found this user opinion helpful.
Faster than the iPhone 4
by alastairFletch on April 19, 2012
Pros: 1).Siri
3).Photo quality
5).Dual core processor
Cons: 1.)no LTE
2.)Screen Size is too small
3.)Siri cannot easily understand Cockney English despite of it's U.K English settings
4). no expandable memory
Pretty awesome phone
by AshleyMoniqueLee on November 12, 2011
Pros: CNET seems to be saying a lot about wanting a bigger screen. But honestly, the iPhone's screen is perfect for me. Android phones are WAY to big for my liking. iPhone is just right. I feel like you guys harp too much on the iPhone--give it some credit! Th
Cons: We could have seen more features. A TON of more features....
AT&T cannot compete.
by mm2014 on November 9, 2011
Pros: Nice phone, easy to use.
Cons: Service is an oxymoron for AT&T. After an AT&T rep apparently made a mistake on my account (I believe the rep on this one) the company would only restore the $$ already on my account IF I put more money on the account, even though my balance was 4
Summary: No worth the bother.
Summary: No worth the bother.
I'm back in the Apple ecosystem...everything works
by trappertr on October 25, 2011
Pros: Siri - not perfect but super cool, handy and promises to be (one of) the next BIG things
Camera - best phone camera - easy call there, the pictures are great
iCloud - moves the shackles of memory to just a memory (LOL, sorry)
Design - I know it is th
Cons: really only one, after 5 days of use . . .
battery could last longer
Summary: In a spat with ATT I left 10 months ago and bought a Sprint EVO 4G - Didn't really hate it, but sure did not love it. Sprint was ...
Summary: In a spat with ATT I left 10 months ago and bought a Sprint EVO 4G - Didn't really hate it, but sure did not love it. Sprint was stupid in not selling me a new iPhone at the discounted price (and the exit penalty) and extending the contract to a new 24 months. They said i had to buy the phone at the full price. It was, therefore, cheaper to move, pay the penalty and start back with another carrier.
Now that I'm back, I could not be happier. Calls are clean and no drops, the phone is a living work of art, and the integration with through the system to the iPad and MacBook through the cloud is just the start of something important that we have all been waiting for. So, it was more a timing issue with the major upgrade to iOS 5 and the availability of the new device that brought me back.
I love it! Thank you Apple
- Manufacturer: Apple
- Part number: 5370353
- Description: iPhone 4S picks up where amazing left off. It's the fastest, most powerful iPhone ever. It features an 8-megapixel camera with all-new optics. It records stunning 1080p HD video. It comes with iOS 5 and iCloud. And it's the only phone with Siri - your intelligent assistant that helps you get things done, just by using your voice. Now you can use your voice to use your iPhone. Just talk to Siri as you would to a person: "Do I need an umbrella? " or "Any great burgers around here? " or "Where's the closest ATM? " Siri not only understands what you say, it knows what you mean. It figures out the right apps to use to find the right answer. Then, just like a personal assistant, it answers you. Siri makes phone calls, sends messages, schedules meetings, sets reminders, and more. How much more? Just ask, and Siri tells you that, too. Two cores in the A5 chip deliver up to two times more power and up to seven times faster graphics. And you'll feel the effects. Fast. iPhone 4S is quick and responsive, which makes all the difference when you're launching apps, browsing the web, gaming, and doing just about everything. And no matter what you're doing, you can keep on doing it. Because the A5 chip is so power-efficient, iPhone 4S has outstanding battery life. This just might be the best camera ever on a phone. And with all-new optics, it just might be the only camera you need. Because behind every shot, you've got 8-megapixel resolution and a custom lens with a larger f/2.4 aperture. Not to mention an improved backside illumination sensor, excellent auto white balance, advanced color accuracy, face detection, and reduced motion blur. It all means that no matter how many people, how much light, and how much action you capture, everything looks exactly as it should. And just wait until you see the photos. The iPhone 4S camera gives you 8 megapixels - that's 60 percent more pixels than the camera on iPhone 4. And they're engineered with a higher, full-well capacity to collect even more light. With more megapixels and more light, you'll see a dramatic difference in the resolution and details of your images. Shoot stunning 1080p HD video everywhere you go. With all-new optics, the light is always right, the color is always vivid, and everything will look even better than you remember. Video stabilization steadies shaky shots. And you can edit video right on iPhone and share your lush life as fast as you shoot. Record amazing 1080p HD video at 30 frames per second. The advanced backside illumination sensor and larger aperture let in even more light. Improved auto white balance makes color even more accurate. And temporal noise reduction helps you take great videos in low light. With every iOS advancement come even easier ways to do everything. That's what makes iOS years ahead of anything else. iOS 5 leaps even further ahead, bringing over 200 new features to iPhone 4S. iCloud is the easiest way to manage all your stuff, because it manages it all for you. iCloud stores your music, photos, apps, mail, contacts, calendars, documents, and more. And wirelessly pushes them to all your devices. It's automatic, effortless, and seamless. And it just works. With iCloud, the music you buy in iTunes appears automatically on all your devices. You can also download your past iTunes purchases. So your music collection goes where you go. The sharpest, most vibrant thing you'll see on iPhone 4S is everything. The Retina display is the highest-resolution phone screen ever. In fact, the pixel density is so high that the human eye is unable to distinguish individual pixels. But without a doubt, you'll notice crisp text, sharp graphics, and stunning images. It's more remarkable than the printed page. And you'll be completely absorbed. FaceTime lets you hear a voice and see the face that goes with it - iPhone to iPhone, iPad 2, iPod touch, or Mac over Wi-Fi.5 So no matter where they are, no matter where you are, you'll always be there. Making a FaceTime call is just as easy as making a phone call. And it's even easier with Siri. Just tell Siri "FaceTime with Mom" and you show up, smile, and wave hello. You'll never miss a big event, an important meeting, or a good laugh. And who wouldn't be happy to see your face?
- Packaged Quantity 1
- Product Type Smartphone
- Form Factor Touch
- Phone Design PDA
- Resistance Scratch resistant glass,
Fingerprint-resistant oleophobic coating
- Integrated Components Wi-Fi hotspot,
GLONASS receiver,
GPS receiver,
2nd camera,
Digital camera,
Digital player,
Voice recorder
- Width 2.3 in
- Depth 0.4 in
- Height 4.5 in
- Weight 4.9 oz
- Body Color White
- Body Material Glass,
Stainless steel
- Technology CDMA2000 1X / GSM / WCDMA (UMTS)
- Band WCDMA (UMTS) / GSM 850/900/1800/1900 / CDMA2000 1X 1900/800
- Mobile Broadband Generation 3G
- Service Provider AT&T
- Operating System iOS 5
- Application Software Twitter,
Game Center,
Find My iPhone,
Adobe Acrobat Reader,
CNN iReport,
- Input Device(s) Touch sensitive screen (multi-touch)
Messaging & Internet
- Cellular Messaging Services MMS,
- Instant Messaging Services Yes
- Supported Social Networks and Blogs Twitter,
- Messaging & Data Features Microsoft PowerPoint support,
Microsoft Excel support,
Microsoft Word support,
PDF support
- Downloadable Content Audio files,
Video files,
iTunes music collection,
- Mobile Services App Store,
iTunes Store,
Video Call
- Data Transmission GPRS,
- Wireless Interface Bluetooth 4.0,
IEEE 802.11b/g/n
- Communication Features Internet browser,
Mobile Email client
Phone Features
- Phone Functions Voice control,
Call timer,
Conference call,
Voice dialing,
Vibrating alert
- Polyphonic Ringer Yes
- Sensors Three-axis gyro sensor,
Digital compass,
Proximity sensor,
Ambient light sensor
- Additional Features Multitasking,
Video editor,
Picture editor,
Adjustable volume limit,
AirPrint wireless printing,
AirPlay wireless streaming
- Personal Information Management Alarm clock,
Synchronization with PC,
Media Player
- Supported Digital Audio Standards Audible AAX,
Apple Lossless,
Audible AAX+,
- Supported Digital Video Standards MPEG-4,
- Type Apple A5
- Bult-in Memory 64 GB
- User Memory 64 GB
Digital Camera
- Sensor Resolution 8 megapixels
- Lens Aperture F/2.4
- Focus Adjustment Automatic
- White Balance Automatic
- Camera Light Source LED light
- Video Recorder Resolutions 1920 x 1080 (1080p)
- Features Geo-tagging,
Face detection,
Landscape/portrait mode,
Video stabilizer,
Video recording
Navigation System
- GPS Navigation A-GPS/GLONASS receiver
- Navigation Software & Services Maps+Compass
- Type LCD display - Color
- Technology Retina Display
- Diagonal Size 3.5 in
- Display Resolution 960 x 640 pixels
- Multi-language Menu Yes
- Display Languages Slovak,
Brazilian Portuguese,
Chinese (traditional),
Chinese (simplified),
- Features Scratch resistant glass,
Retina Display (326 ppi),
- Connector Type Dock connector - 30 pin dock connector,
Headset jack - Mini-phone 3.5 mm
- Technology Lithium ion
- Run Time Details Talk ( WCDMA ) - up to 480 min,
Talk ( GSM ) - up to 840 min,
Standby - up to 200 hour(s),
Continuous browsing ( WCDMA ) - up to 6 hour(s),
Continuous browsing ( Wi-Fi ) - up to 9 hour(s),
Playback ( Video ) - up to 10 hour(s),
Playback ( Audio ) - up to 40 hour(s)
- Included Accessories Power adapter , Power adapter,
USB cable,
Stereo headset with remote control
Environmental Parameters
- Min Operating Temperature 32 °F
- Max Operating Temperature 95 °F
- Humidity Range Operating 5 - 95% (non-condensing)
Product series
Apple iPhone 4S - 16GB - black (AT&T)
Manufacturer: Apple
Specs: AT&T,
Up to 840 min (2G),
Up to 480 min (3G),
With digital camera / digital player,
4.9 oz,
8 megapixels,
3.5 in
Apple iPhone 4S - 16GB - white (AT&T)
Manufacturer: Apple
Specs: AT&T,
Up to 840 min (2G),
Up to 480 min (3G),
With digital camera / digital player,
4.9 oz,
8 megapixels,
3.5 in
Apple iPhone 4S - 32GB - black (AT&T)
Manufacturer: Apple
Specs: AT&T,
Up to 840 min (2G),
Up to 480 min (3G),
With digital camera / digital player,
4.9 oz,
8 megapixels,
3.5 in
Apple iPhone 4S - 32GB - white (AT&T)
Manufacturer: Apple
Specs: AT&T,
Up to 840 min (2G),
Up to 480 min (3G),
With digital camera / digital player,
4.9 oz,
8 megapixels,
3.5 in
Apple iPhone 4S - 64GB - black (AT&T)
Manufacturer: Apple
Specs: AT&T,
Up to 840 min (2G),
Up to 480 min (3G),
With digital camera / digital player,
4.9 oz,
8 megapixels,
3.5 in
Apple iPhone 4S - 64GB - white (AT&T)
Manufacturer: Apple
Specs: AT&T,
Up to 840 min (2G),
Up to 480 min (3G),
With digital camera / digital player,
4.9 oz,
8 megapixels,
3.5 in
Manufacturer info
- Manufacturer profile
- Browse Apple products on Shopper.com
- Manufacturer:Apple
- Address:
One Infinite Loop, Cupertino, CA 95014
- Phone: 1-408-996-1010


text:
The Churchill river and Hudson Bay are in Manitoba, not Alaska.
The Big Edit; In Which Kevin Schafer Drives To The Dump
Ladies and gentlemen, I am proud to present to you the noted nature and wildlife photographer Kevin Schafer, a man who may well serve as a role model for the pack rats among us; a man who faced his demons and trashed them.
Here we salute Kevin not for his outstanding photography—he is a recipient of the North American Nature Photography Association's Outstanding Nature Photographer award—or his efforts on behalf of endangered species, but for the fact that last Christmas he confronted the accumulated Kodachromes of 25 years of photography and, in a marathon of fortitude, edited them.
Our chronicle begins innocently enough. Early this year I was talking with Kevin and asked, "How'd you spend your Christmas holiday?"
"Throwing away 25 years' worth of slides," he replied. "Took 'em to the dump. I don't like to admit it, but I've taken some junk in my life. It was time to get rid of it."
As somewhat of a pack rat, I shuddered with horror…or perhaps it was envy. In any case, I began taking notes.
"This was something that's been hanging over my head for a long time," Kevin continued. "At Christmas I was snowed in, couldn't get out of the house for a week, and it forced me to go through my entire collection and cut all the deadwood that's been in there for a long time."
Kevin had been steadily scanning his work to digital files for several years. The scans were done based on priority—the best ones, the ones that were requested, the ones he needed to send out for a specific use. "But there were tens of thousands of pictures that never went out and many that were never going to go out." Some were alternates, some near-duplicates, all were "just sitting there."
He guesses that he reviewed about 150,000 slides, which he sorted into three categories: already scanned and to be saved; to be scanned and then saved; to the dump.
"The order of selection is important," Kevin says. "I pulled the ones to keep first because it's easier to do a positive pull than a negative one. Pull the ones you really like—they jump out at you; and from the labeling we do I knew which ones had been scanned or sold to clients, so those were pulled immediately."


text:
MPhil, Part III, and Part II Project Suggestions (2012-2013)
Please contact Eiko Yoneki (email: email@example.com) if you are interested in any project below.
1. Raspberry-BSP: Cheap and Safe Bulk Synchronous Processing on Wimpy Nodes
Originator/Supervisor: Eiko Yoneki (with Amitabha Roy)
Keywords: Graph Processing, Data Parallel, Bulk Synchronous Processing
This project is inspired by FAWN [1][2] and aims to replicate the benefit of an array of low power processors backed by persistent storage to graph mining. The aim is to build a software stack for Raspberry-PI that allows a set of such devices, each equipped with either an SD card or a USB flash drive to act as a node for Bulk Synchronous Processing of graphs (see Pregel [3] for an example of bulk synchronous processing). All the necessary data structures will reside on Flash with the small 256MB RAM on the Raspberry-PI acting as a scratchpad.
This means that a failure of the Raspberry-PI unit can be tolerated by simply swapping the flash memory over to another good unit. However this will need careful integration of a 2-phase commit protocol with bulk synchronous processing (BSP). One of the other goals of this project is to integrate a prefetching algorithm we have developed for graphs stored on flash drives with the software stack built for this project. The final aim will be to show that when processing time, energy consumption and cost are taken together this solution is competitive to running BSP on a cluster of PCs.
[1] D. Andersen, J. Franklin, A. Phanishayee, L. Tan and V. Vasudevan: FAWN: A Fast Array of Wimpy Nodes, SOSP, 2009. http://www.cs.cmu.edu/~fawnproj/papers/fawn-sosp2009.pdf
[2] D. Andersen, J. Franklin, A. Phanishayee, L. Tan and V. Vasudevan: FAWN: A Fast Array of Wimpy Nodes, Communications of the ACM, July 2011.
[3] G. Malewicz, M. Austern, A. Bik, J. Dehnert, I. Horn, N. Leiser, and G. Czajkowski: Pregel: A System for Large-Scale Graph Processing, SIGMOD, 2010.
Originator/Supervisor: Eiko Yoneki (with Amitabha Roy)
Keywords: Graph Compression
This project explores graph compression mechanisms as part of a project looking into high performance semi-external memory graph processing (see [1] to get an idea of semi-external memory approaches). The graph compression work will build on an in-house graph representation format that we have developed that allows succinct representation of graphs that show hierarchical structure. The project will explore ways to improve the representation yielding smaller graphs on disk that are less costly to traverse. A key element of the representation scheme is a recursive graph partitioning step that minimises the number of edges between partitions. This is a rich space for exploration of suitable algorithms. We are concerned primarily with experimentally evaluating IO costs on large graphs and measuring the compression performance. However a student with a theoretical background might consider designing algorithms with provable bounds on compression performance, which would be a big plus. If time allows you can also implement efficient transformation tool based on the developed graph compression algorithm using parallel processing tools (e.g. map/reduce).
[1] R. Pearce, M. Gokhale and N. Amato: Multithreaded Asynchronous Graph Traversal for In-Memory and Semi-External Memory, ACM/IEEE High Performance Computing, Networking, Storage and Analysis, 2010. http://dl.acm.org/citation.cfm?id=1884675
3. Prefetcher for Graph Traversal
Originator/Supervisor: Eiko Yoneki (with Amitabha Roy)
Keywords: Graph processing, I/O optimisation, Graph structure
This project takes part of our ongoing project on high performance semi-external memory graph processing (see [1] to get an idea of semi-external memory approaches). This project will build on an in-house prefetching algorithm we have developed for mining large graphs stored on Solid State Drives. A solid state drive provides the ability to service many random reads in parallel, provided that the requesting application is able to deliver requests at a rate that keeps the drive sufficiently busy. Thus pre-fetching multiple pages based on the current request in an "intelligent" manner can greatly improve performance. Our current pre-fetcher implementations are aligned with the graph traversal approach, (that is the "graph iterator" being employed). The challenge in this project is to design a prefetcher that is algorithm-agnostic. The starting point for this project will be the existing infrastructure and data sets and some initial ideas from the supervisors.
Further to this, the prefetcher implementation could be extended to utilise multiple storage devices in parallel. The aim in this setting would be to out-perform standard storage parallelisation techniques such as hardware or software RAID. The performance of this approach would also depend on the method of dividing graph data between available storage devices.
[1] R. Pearce, M. Gokhale and N. Amato: Multithreaded Asynchronous Graph Traversal for In-Memory and Semi-External Memory, ACM/IEEE High Performance Computing, Networking, Storage and Analysis, 2010. http://dl.acm.org/citation.cfm?id=1884675
4. Optimising I/O in Scale-Free Graph Processing
Originator/Supervisor: Eiko Yoneki (with Karthik Nilakant)
Keywords: Graph processing, I/O optimisation, Graph structure
An issue with "real-world" graphs is that these typically exhibit "scale-free" characteristics (a degree distribution following a power law). This usually means that such graphs contain a large number of very poorly connected vertices, and a small number of very well-connected (high degree) verticies. Our work has found that processing such data is challenging, especially where access to secondary storage is required. Related work in this area has sought to employ various static optimisations, for example to deal with a high-degree vertex. Another approach may be to actively measure the graph, either in a pre-processing stage or during processing, to provide some guidance on how the underlying graph storage system can be tuned to fit the graph's structure. A system employing such features could be evaluated in a range of different scenarios: the type of graphs to be analysed, the processing algorithm, availability of main memory, and across a range of storage media.
5. Integration of Data-flow programming with Overlay/Crowd through Task Farming
Originator/Supervisor: Eiko Yoneki (with Karthik Nilakant)
Keywords: Data flow programming, Crowd, Haggle
MapReduce [5] and Dryad/LINQ [6] have facilitated the exploitation of multiple machines in a computer cloud. In order to provide more expressive coordination language for different classes of computation, including iterative and recursive algorithms, a project called Ciel [7],Skywriting [1] has been developed in our systems research group, applying a purely-functional script language for describing distributed computations.
This project investigates extending Ciel/Skywriting including an overlay or crowd that represents a series of distributed or mobile nodes. Thus, a worker invoked by Ciel could be a crowd of mobile phones that form opportunistic networks, i.e. a Haggle opportunistic network platform. This requires an extension to the current task spawning architecture in Ciel to add capability to create a new master task for the crowd. In an opportunistic network environment, tasks will be executed in a delay-tolerant manner, and this aspect should be integrated in the design of Ciel engine for crowd.
As an option if time allows, you could exploit the social structure to execute tasks in the crowd. In general, mobile networks formed by smart phones are time dependent and dynamic with high node mobility. Skywriting programming can be exploited in such dynamic network environments, which is powerful for cooperative task farming. For example, the map function could be exploited based on time-space graph of a social network to achieve an efficient distributed computing. The logical network topology could be obtained from various sources such as online social networks (e.g. Facebook, Orkut), and a social graph could be transformed to a task graph, indicating the order of operations. Efficient task graph generation based on a given distributed computation is powerful. Mobile networks offer substantial aggregate bandwidth and processing power. The intersection between networking and programming languages is becoming popular.
The proposed project aims at building a new paradigm, where networking and programming are well integrated, with special emphasis on mobile networks. The prototype of Ciel engine has been implemented in Haggle opportunistic platform [3], and you can start building your project on top of the prototype. The evaluation can be done in both using Android devices and Xen-based Haggle simulator.
[1] D. Murray and S. Hand, Scripting the cloud with Skywriting, USENIX HotCloud, 2010.
[2] D. Murray, E. Yoneki, J. Crowcroft and S. Hand, The Case for Crowd Computing. ACM MOBIHELD, 2010.
[3] EU FP6 Haggle platform http://code.google.com/p/haggle/
[4] J. Crowcroft, E. Yoneki, et al. Promoting Tolerance for Delay Tolerant Network Research. ACM CCR, 38(5):63-68, 2008.
[5] J. Dean and S. Ghemawat, MapReduce: simplified data processing on large clusters. USENIX OSDI, 2004.
[6] Y. Yu, M. Isard, D. Fetterly, M. Budiu, U. Erlingsson, P. K.Gunda, and J. Currey. DryadLINQ: A System for General-Purpose Distributed Data-Parallel Computing Using a High-Level Language. OSDI, 2008.
[7] D. Murray, M. Schwarzkopf, C. Smowton, S. Smith, A. Madhavapeddy and S. Hand.
Ciel: a universal execution engine for distributed data-flow computing, NSDI, 2011.
6. Sync-Ball
Originator/Supervisor: Eiko Yoneki (with Karthik Nilakant)
Keywords: Mobile Agent, Opportunistic networks, Haggle
In this project, you will build function/mechanism for migrating data objects over the Haggle platform [1]. Haggle is built over a "layerless" networking architecture that incorporates event-driven and asynchronous operations, which reside in the device as a kernel component. Functional components implement the functional logic and interact only directly with the kernel (see [2] for further details about the Haggle implementation). A data object is an object defined in Haggle as an entity which can move between Haggle equipped devices. Each data object contains metadata, consisting of name and attribute pairs. Metadata operations like search or forwarding depend on the size and complexity of the network.
Individual nodes in Haggle (e.g. smart phones) are powerful enough to perform substantial amounts of computing. An example of computation would be to pass around a "Sync-Ball" from node to node as they meet, and into which any node may stick the result of some computation. The main task of the "Sync Ball" project is to design a data object which is able to operate at a Haggle node, collect/append data, and then migrate to other devices. Haggle already has an Android platform implementation, and Sync-Ball can be developed over it. A challenge is that the data object should be designed for multiple purposes and simple programming languages for such data object is desired or design the function as part of database like operation. For example, you can design a migrating (distributed) Excel, where computations are a set of formulae each computed over a column, and each node may append zero or more rows when it has the ball.
If time allows, you can add parallel operation of data objects and writing also runtime to support it. It might also be interesting to consider issues of data integrity and availability (through redundancy). Potential applications for Sync-Ball:
● Synchronisation among devices: information to be synchronised is in the data object, devices receives/updates the data then sent out to the other devices.
● Twitter entries, which are accumulated through the migration within Haggle name space until the data object is sent out to the Internet based twitter.
● Environmental monitoring object: dispatch sync-ball gathering Co_2 values from various sensor devices in the area.
[2] Erik Nordstrom, Per Gunningberg, and Christian Rohner. A Search-based Network Architecture for Mobile Devices. Tech Report Uppsala University, 2009-003.
[3] E. Yoneki, I. Baltopoulos and J. Crowcroft " D^3N: Programming Distributed Computation in Pocket Switched Networks", ACM MOBIHELD at SIGCOMM, 2009.
[4] Xerox PARC's Bayou Project
Originator/Supervisor: Eiko Yoneki (with Karthik Nilakant)
Keywords: Mobility Trace
A number of prior studies have collected data on ad-hoc network connectivity between devices carried by human subjects. Such trace data can then be used as the basis for simulations of ad-hoc or delay-tolerant network protocols. However, typically these mobility traces consider network infrastructure and ad-hoc networking in isolation. Modern smartphones feature a variety of network interfaces each with varying characteristics such as range, bandwidth and reliability. A mobility trace that includes connectivity data over a wider range of interfaces provides an opportunity for simulated evaluation of multipath and hybrid delay-tolerant networking schemes.
8. Building Naming Scheme in NDN over V2V Communication
Originator/Supervisor: Eiko Yoneki
Keywords: Named Data Networking, Content Centric Networking, Naming
This project explores an emerging new Internet architecture called "Named Data Networking" (NDN) originated by the project Content Centric Networking (CCN) by Van Jacobson in PARC. NDN provides network storage, mobility, and multi-path forwarding. In NDN, communication is driven by the data consumer who initiates sending out a packet, which contains the interest of the consumer by a hierarchically-structured name. One Interest retrieves one data packet, and a sequence of Interests is sent to retrieve the sequence of individually-named Data packets that make up a large piece of content such as a video.
The naming in the NDN architecture is not mature. In this project, you will explore naming schemes in NDN. The semantics of names is opaque to the network but depends on the application. The structure of names (e.g. hierarchically structured with an arbitrary number of components), discovery, and namespace navigation should be investigated and the vehicle-to-vehicle communication environment is targeted.
You can exploit location information (e.g. latitude and longitude by GPS or any geographical information that can be obtained from the map) to navigate the data flow depending on the consumers' interests. The meaning of names can be determined by local and global distribution requirements, and the content producer and consumer application conventions, as embodied in individual router's routing tables and application-level transport libraries.
You will use CCNx open source environment http://www.ccnx.org/software-download-information-request/download-releases/. If time allows, you can add a comparison study with another content centric networking paradigm Haggle from naming aspects.
● Named Data Networking: http://www.named-data.org/ndn-proj.pdf
● CCNx: http://www.ccnx.org/
● NDN: http://www.named-data.org/
● Haggle: http://code.google.com/p/haggle/
Originator/Supervisor: Eiko Yoneki (with Karthik Nilakant)
Keywords: Named Data Networking (NDN), Content Centric Networking (CCN)
The CCNx project is currently under active development. It implements the content-centric networking framework presented in [1,2,3]. One of the observations of the original paper was that the underlying store-and-forward methodology lends itself particularly well to delay or disruption-prone networks. However, CCNx does not currently perform routing for such a network (relying instead on network broadcast, or static user-defined routes). In contrast, the Haggle project provides PROPHET-based probabilistic routing.
To provide this type of functionality for CCNx, a new "control" model would need to be written. In this project, desirable attributes of such a module would be the ability to switch between multiple protocols, and the ability to tune the module programmatically will be investigated. Once the module has been completed, it can be put to the test by performing performance evaluations against Haggle or other frameworks.
10. Hybrid Dropbox
Originator/Supervisor: Eiko Yoneki (with Karthik Nilakant)
Keywords: Cloud Service, Opportunistic Networks, Dropbox
A variety of personal storage/backup applications have surfaced over recent years, providing a cloud-based synchronisation capability between multiple devices. In certain settings, access to the cloud may be restricted or not possible, which in turn restricts the availability of these services. We have developed an application called "Mistify", which allows personal files to be replicated amongst local devices (such as other people's smartphones). Typically, such devices are temporarily networked by local wireless connections, forming a "mist". The Haggle framework can be used to publish and search for content in a mist, in a similar manner to interacting with the cloud. When the cloud becomes unavailable, the mist provides a secondary storage tier that can be used to keep data safe until cloud connectivity is restored. While much prior research has been focused on purely centralised or purely decentralised storage, hybrid approaches represent an area of interest.
The present prototype would need to be extended in a variety of ways to allow comparison with similar research projects. Some focus areas include:
● Joining or splitting files into manageable chunks for storage in the mist.
● Erasure coding.
● Using infrastructure for community detection and key distribution.
● Adapting the replication strategy to changing climactic conditions (sic).
● Making use of version vectors, and implementing an "eventual consistency" model.
● (Most importantly,) evaluating these new and existing features, making use of a Xen-based network simulator and/or a controlled user trial.
[2] http://code.google.com/p/haggle/
11. Decentralised Community Detection and Deployment of Forwarding Algorithms in Opportunistic Networks
Originator/Supervisor: Eiko Yoneki (with Karthik Nilakant)
Keywords: Community Detection, Opportunistic Networks, Haggle
BUBBLE RAP introduced in [3] is a forwarding algorithm for Delay tolerant networks, which uses information of community and graph centrality. It consists of RANK and LABEL strategies. RANK delegates messages to high centrality nodes, while LABEL selects a next hop from any member of the destination community as a relay. BUBBLE works in a decentralised world without access to infrastructure. Therefore the distributed detection and dissemination of node popularity and node communities, and the use of these for forwarding decisions are crucial. This project aims at implementing distributed community detection in Haggle framework [1] and deploying BUBBLE forwarding algorithm. Integration work will be carried out using Xen based Haggle simulator including generation of a few different types of networks (e.g. small world, and emulation of real world trace). Performance testing in terms of packet delivery compared to prior schemes should be demonstrated.
A brief description of the work items is listed below.
● Implement distributed community detection
● Implement BUBBLE forwarding algorithm [3] in Haggle
● Implement network generator (e.g. small world, inter-contact power-law etc.) within Xen Haggle simulator
● Integrate all above
● Performance testing in different network setting
[1] EU FP6 Haggle Project http://code.google.com/p/haggle/
[2] P. Hui, E.Yoneki, S. Chan, and J. Crowcroft. Distributed community detection in delay tolerant networks. Proc. MobiArch, 2007.
[3] P. Hui, J. Crowcroft, and E. Yoneki. BUBBLE Rap: Social Based Forwarding in Delay Tolerant Networks. MobiHoc, 2008
[4] I. Leung, P. Hui, P. Lio, and J. Crowcroft. Towards real time community detection in large networks. Phys. Rev. E, 79(6), 2009.
12. Modularity Preserved Synthetic Dynamic Network Generator
Originator/Supervisor: Eiko Yoneki
Keywords: Clustering, Network Topology Generation
Random networks, scale-free networks, or small-world networks have been used for simulation of epidemic spread and social network analysis, among other applications. Such networks represent human contact networks or social networks, and in most cases a single network view is used in an aggregated form. Real human contact networks are dynamic, and such a single network topology may not present the dynamic feature of networks. We have used time series of network traces from the real world to simulate the dynamic contact networks in our previous research on routing in delay-tolerant networks. However, those network traces are an instance in a specific environment. Ideally creating synthetic network topology in time series will help to evaluate a large-scale and complex network structure. Although several attempts have been made to achieve building synthetic networks, it is still a challenge to generate the topology of a real dynamic network. In this project, you would focus on generating a dynamic network topology that preserves modularity. Thus, you will pursue a rewiring strategy without losing the module/cluster architecture of the network. You can start your investigation using our prototype Randomise-Matrix algorithm, which preserves the single level of modules and may be extended to a more hierarchical structure. Using online social networks such as Twitter data for validating the algorithm is desirable.
● R. Milo, S. Shen-Orr, S. Itzkovitz, N. Kashtan, D. Chklovskii, and U. Alon, Network motifs: simple building blocks of complex networks, Science. 2002 25;298(5594):824-7.
13. Modelling Spread of Rumours between Communities
Keywords: Opinion Dynamics, Community
Our previous work [1] reported a preliminary investigation on interactions between networked social communities using the Ising model to analyse the spread of rumours. The inner opinion of a given community is forced to change through the introduction of a unique external source, and we analyse how the other communities react to this change. We model two conceptual external sources: namely, Strong-belief and Propaganda, by an infinitely strong inhomogeneous external field and a finite uniform external field, respectively. In the former case, the community changes independently from other communities, while in the latter case also according to interactions with other communities. We applied our model to synthetic networks as well as various real world data ranging from human physical contact networks to online social networks. The experimental results of applying the Ising model using real world data clearly demonstrate two distinct scenarios of phase transitions.
This project aims at validation of the above model to examine if such Strong-belief and Propaganda will be exhibited in real situations. Thus, the project work requires deploying a series of the experiments, e.g. an online and mobile phone based software to share opinions on specific topics within the given time, and monitor the change of individual opinion in time series by controlling information available to the individual. This will capture the dynamics of opinion change and investigate validation of our Ising model. The experiments can start off with the simplest condition and along our development of extending work such as coexisting two opinions (i.e. different opinions coexisting in the society), the software should be also extending for appropriate validation. The Ising model for understanding interactions of communities and subsequently modelling rumour propagation is a unique approach that will give significant input for modelling information propagation in social networks. The result of validation can be compared with voting model.
[1] M. Ostillia, E. Yoneki, I. Leung, J. Mendes, P. Lio, and J. Crowcroft: "Statistical mechanics of rumour spreading in network communities", International Conference on Computational Science, ICCS, 2010.
[2] M. Ostilli, J. F. F. Mendes, "Communication and correlation among communities". Phys. Rev. E 80 (011142); and M. Ostilli, J. F. F. Mendes, "Small-world of communities: communication and correlation of the meta-network". J. Stat. Mech. L08004 (2009).
14. Opinion and Behaviour Dynamics in Social Networks
Originator/Supervisor: Eiko Yoneki
Keywords: Information Cascade, Opinion Dynamics, Twitter
Large-scale social network communities, where millions of users form a dynamic infrastructure to share multimedia content have brought new entertainment experiences. Such Network-shared User Generated Content (UGC) is becoming increasingly popular due to the emergence of Web 2.0. YouTube is one of many UGC websites, where the popularity of content is driven by viewers and varies dynamically. This project investigates understanding information flow, decision making process, and behavioural dynamics based on rumour, social topology, and given information in such environments and modelling how people react with limited/unlimited information surroundings. Thus, the investigation covers behaviour modelling and analysis from an opinion dynamics perspective and can provide an answer to questions such as "do people change their opinion based on similar to page-ranking algorithm?" or "what factors have the largest influence?".
In this project you would write a role-playing game to understand the above problem. Millions of people worldwide play interactive online role-playing games, forming complex and rich networks among their virtual characters. Such games could project the real world and predict what might occur. For example, an unexpected outbreak of an infective communicable disease (unplanned by the game creators) occurred when a role-playing game was played in the virtual world. This outbreak holds surprising similarities to real world epidemics [3].
You can write role-playing game application over mobile devices and web and obtain the information of behaviour of the players under the different conditions (e.g. provide other players activities or characteristics of the other players). The game could be "what's the most popular music?" or "what's the best mobile phone to buy?" or similar to any popular game in the market. Reading Vinayak Dalmia's masters thesis on 'Investigating Herding Behaviour in an Experimental Setup' (Judge Business School) will be a good starting point; and papers [1][2] and [4] will be good general background reading.
[1] Boyd, Golder, and Lotan, Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter, HICSS-43, 2010.
[2] Christo Wilson, Bryce Boe, Alessandra Sala, Krishna P. N. Puttaswamy and Ben Y. Zhao, User Interactions in Social Networks and their Implications, ACM EuroSys 2009.
[3] Balicer, R.:Modeling Infectious Diseases Dissemination Through Online Role-Playing Games. Epidemiology, 18(2), 2007.
[4] Sastry, Yoneki and Crowcroft " Buzztraq: Predicting geographical access patterns of social cascades using social networks". EuroSys workshop on Social Network Systems, 2009.
15. Sampling Strategies for Measuring Epidemic Spread
Originator/Supervisor: Eiko Yoneki
Keywords: Sampling
The epidemic spread of infectious disease requires quantifying and modelling disease development in time and space and quantifying patterns of disease and sampling for disease in populations is challenging. The recent emergence of wireless technology provides a unique opportunity to collect precise human connectivity data. For example, people can carry tiny wireless sensors (< than 1 cm^2) that record dynamic information about other devices nearby. A post-facto analysis of this data will yield valuable insight into complex human interactions, which in turn will support meaningful modelling of understanding networks.
Interestingly infectious disease epidemiology and proximity-based communication in wireless networks share common research issues [3].
However, it is challenging to deploy an experiment to collect such human connectivity data considering not everybody can be equipped the device, which is capable to collect the information. Conducting such experiments is expensive, as each participant must be given a device (typically a mobile phone, or Bluetooth sensor), and it may also be difficult to find willing participants. How many devices (e.g. mobile phones) are necessary to operate an epidemic spread simulation in the city of Cambridge, where the population is 130,000. The problem can be interpreted as how to find giant component (i.e. connected sub-graph in human contact networks) from a given population. A challenge is that a human contact network is not a random network
There is a series of human contact data including CRAWDAD [2] and project Haggle [1], which is available for this project. If a specific data collection can provide significant information, such experiment can be carried out within the project. The following two strategies can be investigated:
Note that the general notion of "sampling strategy" is similar to that discussed in papers Milan Vojnovic (MSR Cambridge) [5][6].
[2] CRAWDAD: A Community Resource for Archiving Wireless Data
[3] Eubank, S., Kumar, V., and Marathe, M.: Epidemiology and wireless Communication: Tight Analogy or Loose Metaphor? LNCS 5151, 91-104, 2007.
[4] Kleinberg, J.: The wireless epidemic, Nature 449, 287-288, 2007.
[5] Dinkar Vasudevan and Milan Vojnovic, Ranking through Random Sampling, MSR-TR-2009-2015, January 2009.
[6] Varun Gupta and Milan Vojnovic, Supplement to "Sampling Strategies for Epidemic-Style Information Dissemination", MSR-TR-2009-70, 2009.
16. The impact of social influence on information propagation in social networks
Supervisor: Eiko Yoneki (with Mehdi Hosseini)
Keywords: Information Diffusion, Twitter, Behaviour Model
Social networks like Facebook and Twitter have brought new entertainment experiences. People or companies publish information in a social network through the network's topology and by sharing them with their neighbours. The published information can either be quickly ignored or widely spread in the network. The extent to which information is propagated highly depends on social influences that the members have on each other.
This project investigates the impact of social influences on social networks. Specifically, by monitoring members' activity, this project will develop (i) data-driven models that explain various behaviours and influences happening in a social network, (ii) metrics that quantify various forms of social influences e.g. conformity, reactance, peer pressure, sales and marking, (iii) methods that identify influential members and their characteristics, (iv) gamification experiments for collecting the required data.
In Twitter, for instance, a simple type of influence is the ability to get others to retweet a message. Proposed solutions should answer questions such as: (i) what is the probability that a member will be influenced by a Twitter message and retweet it? (ii) What is the type of influence? (iii) Who are the influential members?
In this project, you will work on Twitter or Facebook data. You need to know a programming language, e.g. Java, C, C#, Python, for collecting data and one programming language for statistical computing, e.g. R, Matlab, Java.
[1] Meeyoung Cha, Hamed Haddadi, Fabrício Benevenuto, P. Krishna Gummadi: Measuring User Influence in Twitter: The Million Follower Fallacy. ICWSM 2010.
[2] Evan T.R. Rosenman: Retweets, but Not Just Retweets: Quantifying and Predicting Influence on Twitter. Thesis, Harvard University.
[3] Boyd, Golder, and Lotan, Tweet, Tweet, Retweet: Conversational Aspects of Retweeting on Twitter, HICSS-43, 2010.
[4] Christo Wilson, Bryce Boe, Alessandra Sala, Krishna P. N. Puttaswamy and Ben Y. Zhao, User Interactions in Social Networks and their Implications, ACM EuroSys 2009.
[5] Balicer, R.:Modeling Infectious Diseases Dissemination Through Online Role-Playing Games. Epidemiology, 18(2), 2007.
[6] Sastry, Yoneki and Crowcroft " Buzztraq: Predicting geographical access patterns of social cascades using social networks". EuroSys workshop on Social Network Systems, 2009.
17. Eye Tracking for Behavioural Study
Supervisor: Eiko Yoneki
Keywords: Behaviour Study and Model, Perception, Cognitive Science
In this project you would use eye tracking device to extract unconscious behaviour of people when they use online social network tools. Example questions to solve are how people make a decision to re-tweet in Twitter or post a wall comments n Facebook.
We will provide an eye tracking experiment device, which can automatically record the web browser and monitor's information from the participant's eye movement. You would design the experimental setting up and goal of the experiment. Our on-going photo rating experiments in our EU FP7 RECOGNITION project can be used as an experimental material to complement the extracting data. You can also write your experimental application or online social networks (e.g. Facebook) to extract unconscious social behaviour in comparison to feedback information (e.g. how the other people rated, what is the average of rating) from the participant's social clique.
As an extension, you could write an economic gaming application to capture the participant's behaviour on decision making for competitive tasks. The work is based on the EU FP7 RECOGNITION project http://www.recognition-project.eu/. This role is suitable for the student, who is interested in data analytics and experimental work.
[1] Roman Bednarik , Markku Tukiainen, An eye-tracking methodology for characterizing program comprehension processes, Proceedings of the 2006 symposium on Eye tracking research & applications, March 27-29, 2006, San Diego, California
[2] Hayes, T. R., Petrov, A. A., & Sederberg, P. B. (2011) A novel method for analyzing sequential eye movements reveals strategic inuence on Raven's Advanced Progressive Matrices. Journal of Vision, 11 (10:10), 1-11, http://www.journalofvision.org/11/10/10/.
18. Trust Relationships and Content FilteringContact: Eiko Yoneki (with Arman Idani)
Keywords: Social Trust, Content Filtering
Online social networks have become extremely popular in recent years. One of the challenges that people are now facing is to keep up with the amount of content that is available to them on their preferred social networks (status updates, tweets, photos, news, etc). They have increased to a point which is nearly impossible for the average user to review all of them. In this project you would work on automatic filtering of unwanted content. One of the ways to achieve the goal is through the use of trust relationships. Trust relationships simply mean the extent that a user on a network trust other users or services. By monitoring the relationship between members you will investigate which parameters contribute towards trust between different users and how they can be quantified. The references below are good starting points. The solution should be able to answer research questions such as: (i) How do users choose which content, and from which other user, to care about? (ii) Can a quantifiable measurement of trust relationship help to predict if a content is of no desire to the user? (iii) What makes a user trustworthy? In this project you will work on Facebook or Twitter data. You need to know a programming language, e.g. Java, C, C#, Python, for collecting data and one programming language for statistical computing, e.g. R, MATLAB , Java.References:
[1] Yarden Katz and Jennifer Golbeck. 2006. Social network-based trust in prioritized default logic. In proceedings of the 21st national conference on Artificial intelligence - Volume 2 (AAAI'06), Anthony Cohn (Ed.), Vol. 2. AAAI Press 1345-1350.
[2] Ugur Kuter and Jennifer Golbeck. 2010. Using probabilistic confidence models for trust inference in Web-based social networks. ACM Trans. Internet Technol. 10, 2, Article 8 (June 2010), 23 pages.
19. Trust Relationships and Propagation of Trust in Online Social CommunitiesContact: Eiko Yoneki (with Arman Idani)
Keywords: Social Trust, Community, Information Propagation
Communities in social networks are groups of tightly coupled nodes (users). In communities, users normally have a lot of mutual friends with whom they might interact differently. The extent that a user trusts other users, trust relationship, is usually measured by monitoring their interaction. In this project you would investigate trust relationships in online social communities and its relationship to the properties of the community, an how trust propagates among the members of a community. References below are good starting points. The solution should be able to answer research questions such as: (i) How does trust relationships within a community differs from trust relationships outside of the community? (ii) To what extent does the trust relationship among members of a community depend on its properties? (iii) How a user's role in the community correlate with their trustworthiness, is there a relationship? In this project you will work on Facebook or Twitter data. You need to know a programming language, e.g. Java, C, C#, Python, for collecting data and one programming language for social network analysis and statistical computing, e.g. R, MATLAB, Python.References:
[1] Yarden Katz and Jennifer Golbeck. 2006. Social network-based trust in prioritized default logic. In proceedings of the 21st national conference on Artificial intelligence - Volume 2 (AAAI'06), Anthony Cohn (Ed.), Vol. 2. AAAI Press 1345-1350.
[2] R. Guha, Ravi Kumar, Prabhakar Raghavan, and Andrew Tomkins. 2004. Propagation of trust and distrust. In Proceedings of the 13th international conference on World Wide Web (WWW '04). ACM, New York, NY, USA, 403-412.
[3] Christian Borgs, Jennifer Chayes, Adam Tauman Kalai, Azarakhsh Malekian, and Moshe Tennenholtz. 2010. A novel approach to propagating distrust. In Proceedings of the 6th international conference on Internet and network economics (WINE'10), Amin Saberi (Ed.). Springer-Verlag, Berlin, Heidelberg, 87-105.
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Countryside Council for Wales
Landscape & wildlife
Please note - A new body, Natural Resources Wales has taken over all functions and services previously carried out by Countryside Council for Wales. While the Natural Resources Wales website continues to be developed, some online services will continue to be provided on this web site.
The effect on landscape is one of the
considerations when proposals are put forward for new developments
or when a planning application is made.
Local planning authorities have a statutory duty to consult CCW
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which include both protected landscapes and the wider
Where relevant, we will use information derived from Protected
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Richmond Bed and Breakfasts
Richmond is a city in Wayne Township, Wayne County, and is home to many pleasant B&B establishments. The Richmond Rose Festival honored the rose industry and is a popular... Read more
Richmond is a city in Wayne Township, Wayne County, and is home to many pleasant B&B establishments. The Richmond Rose Festival honored the rose industry and is a popular summer attraction with food and fun. The Wayne County 4-H Fair is held near the city with projects, rides, food and more. If you are visiting one of these events, and desire local accommodations, consider staying in a Richmond bed and breakfast or a Richmond inn. The Indiana Football Hall of Fame is located in town. The Richmond Art Museum is a popular local attraction. Little Sheba's has the best hamburgers in the town. Pizza King has been rated the best pizza in the area. Less
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PHILIP W. SMITH B&B AND MARTHA E. PARRY B&BRichmond, Indiana
Three distinct and historic bed and breakfast inns for business travel, scrapbook retreat...Read more
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THE POTTER'S WHEEL BED AND BREAKFASTRichmond, Indiana
Grandma will be jealous when your new favorite spot to be pampered becomes the Potter's W...Read more
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MEADOWS INN BED & BREAKFASTMiddlebury, Indiana
A 1920's farm-style house decorated in French country with modern amenities serving fresh...Read more
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THE COUNTRY VICTORIAN BED & BREAKFASTMiddlebury, Indiana
Rest, Relax, and Refresh at the Country Victorian Bed & Breakfast where comfort, value, a...Read more
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BLUE HERON BED & BREAKFASTIndianapolis, Indiana
Vacation in Broadripple Village, northside English Arts and Craft brick home with peacefu...Read more
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CARRIAGE LAMP BED & BREAKFASTLiberty, Indiana
Welcoming B&B in the small town of Liberty, close to Miami University in Oxford OH, White...Read more
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Selected as the #1 B&B in the country 'near a college or university'....Read more


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Sunday, February 5, 2012
© Copyright 2014 Gwinnett Daily Post
CANTON, Ga. (AP) -- Authorities say a head-on collision in Cherokee County killed a mother and father from Texas and injured their two-month-old baby boy.
Lt. Jay Baker of the Cherokee County Sheriff's Office says the accident happened about 11 a.m. on a highway about five miles west of Canton.
He says 48-year-old Rick Dean Headen and 40-year-old Charlotte Ann Sedtal were driving eastbound when they appear to have hit a pickup truck after veering into another lane.
The adults, who were from Sour Lake, Texas, died at the scene. Their baby was rushed to Children's Healthcare of Atlanta, where he was being treated with a traumatic brain injury and a broken leg.
The accident is under investigation.
More like this story
- Police say girl's killing 'very calculated' ( December 6, 2011 )
- 3 killed in crash ( May 14, 2008 )
- 1 dead, 4 injured in head-on collision in Douglas ( November 24, 2011 )
- State briefs ( June 30, 2005 )
- Death of 3-week-old Ga. baby under investigation ( January 8, 2013 )


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Updated Jan 15, 2013 - 8:13 am
Report: Broncos OC McCoy to become Chargers head coach
Reports on Monday indicated that the Arizona Cardinals wanted to interview Denver Broncos offensive coordinator Mike McCoy for a second time.
Not so fast.
It appears the Cardinals will not get a second chance to talk with McCoy.
CBS Sports' Jason La Canfora reports Tuesday the San Diego Chargers, who spoke with McCoy for the first time the previous day, are about to finalize a deal with the coach.
Chargers are nearing a deal to make Mike McCoy their head coach. Looks like it will be finalized today. More ahead @cbssports— Jason La Canfora (@JasonLaCanfora) January 15, 2013
McCoy was the only known interview for the Cardinals this week.
As the Cardinals' coaching search enters week three, the team has talked with McCoy, defensive coordinator Ray Horton, Cincinnati Bengals offensive coordinator Jay Gruden and unofficially, Todd Haley, whom the Pittsburgh Steelers said the Cardinals were interviewing.
Gruden, Haley and Horton are all still on the market for a head coaching job.
- Cardinals awarded waiver claim on OLB Thomas Keiser, waive rookie WR Walt Powell
- Bauman, Golden, Sopoaga, Hardy among Arizona Cardinals' final roster cuts
- Despite interest from Cardinals, linebacker James Harrison retires
- Arizona Cardinals coach Arians: Logan Thomas as expected, has 'a good future'
- Arizona Cardinals coach Bruce Arians confirms James Harrison interest
- Darren Urban - azcardinals.com - Friday August 29Darren Urban breaks down the latest surrounding the Cardinals' impending roster moves
- Bickley Blast - Friday August 29The Arizona Cardinals and San Diego Chargers played one of the most pointless games in NFL history l
- Bickley Blast - Thursday August 28Which Valley football team will win more games this season, the Cardinals or the Sun Devils?
- Kirk Gibson, D-backs manager - Tuesday August 26D-backs manager Kirk Gibson discusses possible changes to a six-man rotation.
- Dave Pasch - Cardinals commentator - Tuesday August 26Dave Pasch thinks Michael Floyd is a number one receiving target.


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DI Jack Delaney is trying to make a clean break. Tormented by his troubled past, he has taken his young family out of London, swapping the mayhem of London for the tranquil calm of the North Norfolk coast. Except it's not so tranquil. After a terrible storm hits Sheringham, a body is discovered beneath a collapsed cliff. Natural disaster? No, this looks like murder, and Jack is the only local resident qualified to investigate.
Die Niederschriften der von Eckermann in den Bänden 1 und 2 seiner "Gespräche mit Goethe" im Jahre 1836 veröffentlichten Unterhaltungen gelten als authentisch und werden in Publizistik, Literatur und Wissenschaft immer wieder als Quelle herangezogen. Die erst im Jahre 1848 veröffentlichten Unterhaltungen des dritten Bandes dagegen beruhen weitgehend auf fragmentarischen Notizen Eckermanns sowie auf Aufzeichnungen seines Freundes Frédéric Soret.
At college in 1980s, Robbie Goulding, an Irish-born teenager, meets Fran Mulvey, a Vietnamese refugee. Together they form a band. Joined by cellist Sarah-Thérèse Sherlock and her brother Seán on drums, they set out to chase fame. Spanning 25 years, we fast-forward through an evocative soundtrack of struggle and laughter. Infused with blues, New Wave and punk, the tale stretches from the Glastonbury Festival to Long Island, culminating in July 2012, a night that changes everything.
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Sarah McAdams needs a fresh start. So she's come home to the shores of Oregon's wild Columbia river, to renovate the old Victorian mansion where she grew up. Her daughters, Jade and Gracie, aren't impressed by the run-down property, and as soon as they pull up the isolated drive, Sarah too is beset by uneasy memories - of her cold, distant mother, of the half-sister who vanished without a trace, and of a long-ago night when Sarah was found outside, feverish and delirious.
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When Santosh Wagh isn't struggling out of a bottle of whisky he's head of Private India, the Mumbai branch of the world's finest PI agency. In a city of over 13 million he has his work cut out at the best of times. But now someone is killing women - seemingly unconnected women murdered in a chilling ritual, with strange objects placed carefully at their death scenes.
The Sunday Times and New York Times best-selling author of Damaged tells the true story of Donna, who came into foster care aged 10, having been abused, victimised, and rejected by her family. Donna has been in foster care with her two young brothers for three weeks when she is abruptly moved to Cathy's. When Donna arrives she is silent, withdrawn, and walks with her shoulders hunched forward and her head down.
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Captain Sharpe's task is to recover from a feared guerilla leader the gold Wellington so desperately needs.The enemy he faces strikes terror into the hearts of all around - a renegade guerilla band whose leader has a particular loathing for Sharpe, who has stolen his woman. Soldier, hero, rogue - Sharpe is the man you always want on your side. Born in poverty, he joined the army to escape jail and climbed the ranks by sheer brutal courage.
As the owner of Get a Mate Dating Service, Rylie is more than happy to step in and lend a hand to lonely lycanthropic hearts all over town. No matter how hopeless Rylie might be in finding her own soul mate, she has a knack for helping others find theirs. Convinced that she is stuck with a family curse, Rylie is positive she will never find her true love. But when drool-worthy Jack Chandler shows up at her door, Rylie wonders if maybe the curse is finally broken.
When 17-year-old Stella Whittaker is offered the chance to study at the Academy of Music in Vienna it's a dream come true, made possible by old family friends, Rainer and Marthe Kraus, who offer her a place to live. Seduced by the elegant beauty of the city, Stella explores the magnificent palaces, gardens, and fashionable coffeehouses, and after a chance meeting in an art gallery, falls in love with Harri Reznik, a young Jewish doctor.
In 1943 John Steinbeck was on assignment for The New York Herald Tribune, writing from Italy and North Africa, and from England in the midst of the London blitz. In his dispatches he focuses on the human-scale effect of the war, portraying everyone from the guys in a bomber crew to Bob Hope on his USO tour and even fighting alongside soldiers behind enemy lines. Taken together, these writings create an indelible portrait of life in wartime.
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Now, with the publication of Homeless in My Heart, Felix Dennis' extraordinary talents have come to fruition - from ironic tales of darkness and savagery to hymns of praise for the glories of nature. Homeless in My Heart fulfils the promise predicted by the author and critic Tom Wolfe, who has called Dennis 'a 21st-century Kipling [whose poetry] rollicks and rolls with rhyme, meter, and melody'.
Raised in South Carolina and New York, Woodson always felt halfway home in each place. In vivid poems, she shares what it was like to grow up as an African American in the 1960s and 1970s, living with the remnants of Jim Crow and her growing awareness of the Civil Rights movement. Touching and powerful, each poem is both accessible and emotionally charged, each line a glimpse into a child's soul as she searches for her place in the world.
John Tibbets is not just another homeless man living in New York's Bowery. He also suffers from advanced amnesia and has no idea how he arrived at the most famous mission in America. A recluse, he lives a quiet life of desperate isolation. While wandering the Bowery streets one summer night, Tibbets comes upon three men mugging a police officer. Acting on unknown instincts, Tibbets intervenes.
Father of two Joe Clarke is about seventy-eight per cent sure he's just had an affair. After all that is the hopelessly attractive office intern in bed next to him, isn't it? But then again if he did have an affair why can't he remember anything at all about the night in question? Mortified by his mistake Joe vows to be a better man, but when his adored wife Penny puts two and two together and leaves him, things start to take a turn for the decidedly strange.
The photo shows a boy who was murdered a year ago.The caption says, "I know who killed him". Detective Stephen Moran hasn't seen Holly Mackey since she was a nine-year-old witness to the events of Faithful Place. Now she's 16 and she's shown up outside his squad room, with a photograph and a story. Even in her exclusive boarding school, in the graceful golden world that Stephen has always longed for, bad things happen and people have secrets.


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IRVING — Conservative talk show host Glenn Beck is taking an even bigger bite out of the North Texas media scene.
His company, Mercury Radio Arts, has purchased The Studios at Las Colinas in Irving, with three main stages, outdoor shooting locations and office space.
The facility has produced movies and TV shows including "Robocop," "JFK" and "Walker, Texas Ranger."
It will now serve as the flagship facility for Beck's TheBlaze TV network. It had already been producing six hours of live programming every day from Irving while renting space.
"We are proud to call Texas our home and be part of the local community in Irving," Beck said in a written statement. "We are building a world-class facility that provides TheBlaze with the highest quality talent and top of the line production capabilities so American stories can be told to viewers across the country."


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Make the most of the Libraries! The Libraries provides valuable services and resources to help you with your course work. This workshop includes a tour of W.W. Hagerty Library and a brief orientation to the Libraries website and electronic resources.
W.W. Hagerty Library Tour
W.W. Hagerty Library, L33
See location
Thursday, Jan 17 at 4:00pm
Learning Goals
In this orientation session, you will learn how to:
- Find services and resources located in W.W. Hagerty Library
- Borrow books and journal articles from other libraries
- Reserve a group study room
- Access search tools and resources
- Request research assistance
Content Editor: Library Webmaster