text:
You are a fan of hisashi fourms ? Come to discover the best forums hisashi fourms on the internet and share your experience with a community fan of hisashi fourms . You can also build a forum hisashi fourms and create your online discussion.
Based on the game of Fatal X
fatal, fourms!, based, game
Goo Everwhere ( Created By Xbox ) Xbox edition Released 2008. Mine in 2010.
world, official, #fourms, 2010, edit, everwhere, created, xbox, edition, released, 2008, mine


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NEW YORK (TheStreet) --
1.) GrubHub (GRUB - Get Report) is a clear leader in its industry. It was founded 10 years ago and has over 28,000 restaurants connected to its app. It is also reaches over 600 cities.
Today, its IPO is expected to raise $192 million for the company, at a valuation near $2 billion:
2.) There might be huge demand for the GrubHub IPO. The company had initially planned to price shares at $23, but several recent developments reveal that they are now offering 7.4 million shares at $26 per share. Citigroup (C) and Morgan Stanley (MS) are the joint bookrunners in this IPO:
At the IPO price, Grubhub will have a valuation of about $2B. Or almost 15x last year's revenue $GRUB http://stks.co/s0AqH -- Gordon Bowman (@gordonbowman) Apr. 3 at 09:26 PM
GrubHub prices upsized IPO at $26, above the $23-$25 range $GRUB $IPO #IPO http://stks.co/r0Az0 -- Renaissance Capital (@IPOtweet) Apr. 3 at 06:57 PM3.) The GrubHub IPO could offer several clues into the strength of the market. Remember, the S&P 500
TGIPOFriday. 4 debuts set for today. $FIVN priced below range. $IMS in middle of range. $OPWR at high end of range. And $GRUB above range. -- Paul La Monica (@lamonicabuzz) Apr. 4 at 08:12 AMAt the time of publication, the author held no positions in any of the stocks mentioned. This article represents the opinion of a contributor and not necessarily that of TheStreet or its editorial staff.

subset: commoncrawl


text:
|Property type
|Minimum Stay
|2 nights
The house is only 1.5 miles from Mount Snow with a view of both the Main and North Faces, particularly nice in the mornings and evenings. The concept is an open floor plan with a cathedral ceiling. There are bedrooms and bathrooms on all three levels. The two-part living room has a cozy wood burning fireplace, TV/DVD/VCR with cable, stereo, and several couches. Wi-fi internet connectivity. A Foosball table is located in a separate alcove. Outside is your own private deck with a table/chairs and is a great location for viewing the night sky. The full-function kitchen has all standard appliances. The Dining Room table seats six plus there is a breakfast bar with additional seating. There is a full-size clothes washer and dryer. VAST snowmobile trails are accessible at the end of the property.
This is a very nice, modern residence, situated in a secluded location on four plus acres with easy access to Mount Snow. There are no back-roads to worry about.
No smoking inside the house.
Well behaved pets allowed at owner's discretion.
A popular location for Tough Mudder participants at Mt, Snow
I am a selective renter and a member of the Mount Snow Ski Patrol since 1975.
Greg Ferrone purchased this townhome in 2005
Location, location, location. The house is near Mt. Snow and more importantly, on the north side so traffic is minimal. Since the driveway is on Route 100, there are no back roads to contend with.
There is a nice view of Mount Snow from the Living Room.
This is a three level setup with bedrooms and bathrooms on each level.
Where do I start? We are from PA, and were making a big trip to VT to do some skiing. From the start of our search for a home...I had been in touch with the owner, Greg, who was absolutely great to deal with. He offered suggestions on restaurants, pubs, shopping etc. Any questions I had, he got right back to me with answers. When renting over the internet...you never know what you will get. Well, the home and its owner are GEMS. The home is very well maintained, and very CLEAN. Ample firewood was provided, making it really nice to kick back with a cocktail after a long day, and enjoy the fire. The split living room worked out great, as kids stayed on one side, and adults on fireplace side. 3 bathrooms was great. Kitchen had everything we needed. Mt. Snow view added to the experience, and being 1.5 miles to the mountain is awesome. To top it off, Greg, was able to offer two lift tickets (not sure if that is the norm), which was a huge help when buying 8 lift tickets. I would highly recommend this home. There is a certain amount of comfort you gain when you feel you are dealing an honest and straight forward person...which takes away the anxiety of renting over the internet when you are travelling to parts unknown 6+ hours from home. All aspects of our trip to Mt. Snow VT were great. The next time I get back to Mt. Snow....this is where I will be staying. You will not be disappointed. Great place to stay!! Mark G. Mechanicsburg, PA
We rented over New Years weekend and couldn't have been happier with the place. The interior is like new, with a great fire-place/living room. The property is right near Mount Snow, but a short distance to Stratton. The owner was great to deal with and even gave us a short cut to Stratton. Great location, views and amenities, I definitely recommend.
The house is just north of the Mount Snow Ski Area with driveway access to Route 100. The house is set back from the road offering privacy. This provides easy access to Vermont's main north-south thoroughfare (Route 100) and it is not necessary to drive on rural back roads.
Activities: Downhill skiing at Mt Snow or Stratton; cross-country skiing at Timber Creek; VAST trail access and snowmobile tours
Ski: Mount Snow has special rates and family deals that are available.
For the non-skiers, or to take a break, there is outlet shopping in Manchester. The town also features the historic Lincoln estate known as Hildene.
Also a perfect location for Tough Mudder participants at Mt. Snow.
Please call if you have any questions.
|Rate Period
|Weekend Night
Dec 1 - Apr 30
2 nights
Fri, Sat
|Refundable damage deposit
|Tax Rate
The weekend rate is $400 per night with a two day minimum.
Call regarding weekday rates and weekly bookings (starting on either Friday or Sunday night).
Cleaning available at $75.
Holiday Periods:
$400 per night with a 3 night (or more) minimum over holidays
(Xmas-New Years, MLK weekend, Presidents Week).
A damage security deposit of $500 is required.
Not available as a full season rental.
Rates are subject to change until confirmed.
Payment is usually accepted in the quoted currency (USD) unless the currency and the amount is specifically agreed in advance with the owner / advertiser.


text:
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text:
Hi ! I'm in need of some answers and reasons. I have no idea why I'm so much unlucky. or if not, then why not me ??
Would you guys please look at my few items and tell what's wrong with them ?? Why am I so bad at videohiving ??? ?Specially with the item Typo blocks, I expected I would win at least the last prize.. Damn me!!! http://videohive.net/item/typo-blocks/4732549
Thought something but what came ? – nothing..
That really is a nice idea. The only issue that maybe is the reason for low sales is "bland colors" Make them more vivid.
Can also be bad luck, and bad upload timing (weekend or holidays or whatever) if you search the marketplace you will find hundreds of great quality projects that sold almost nothing.
Thanks so much doru. really appreciated you suggestions!!
I said search but actually I found them by browsing tens of pages of results after a search was made. Not easy to find them by search only, need time to dig inside the search results
Helpful Information
- Please read our community guidelines. Self promotion and discussion of piracy is not allowed.
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Most of all, enjoy your time here. Thank you for being a valued Envato community member.


text:
Lasers in Dental Care Center - Springfield, OR
WebMD Physician Directory
Springfield, Oregon
Lasers in Dental Care
Lasers have been used in dentistry since 1994 to treat a number of dental problems. But, despite FDA approval, no laser system has received the American Dental Association's Seal of Acceptance. That seal assures dentists t...
Other Related Lasers in Dental Care Articles
Emergency Contact for Springfield
Nearby Springfield Hospitals *
Mckenzie Willamette Medical Ctr
Sacred Heart Medical Center
Sacred Heart Med Ctr Rvrbnd
Serenity Lane Treatment Center
Cottage Grove Community Hosp
*Provider Directory Terms of Use:
The WebMD 'Provider Directory' is provided by WebMD for use by the general public as a quick reference of information about Providers. The Provider Directory is not intended as a tool for verifying the credentials, qualifications, or abilities of any Provider contained therein. Inclusion in the Provider Directory does not imply recommendation or endorsement nor does omission in the Provider Directory imply WebMD disapproval.


text:
Rolling Hills Apartments2120 Buchert Rd Apt 235, Pottstown, PA 19464 View On Map (610) 323-2554
For rates, availability, and other information fill out the availability request form and a representative from Rolling Hills Apartments will contact you shortly
Rolling Hills Apartments is located in the Philadelphia Area in the 19464 zip code. View this apartment on a map.
Back to Top
Maps & Directions
click to view interactive map


text:
Gulf Oil Spill Should Make You Change Your Dinner Plans
DALLAS, June 3 /PRNewswire/ — "After the oil spill in the Gulf, you may want to pass on the sushi, shrimp and other seafood for longer than you think, if you don't want to get cancer," warns Milton Carl, Nutritionist at Axe Nutrition and author of "God's Miracle Cure."
"With some experts saying that as much as 4,200,000 gallons of oil (100,000 barrels) a day have leaked into the Gulf of Mexico, we have to ask what the long-term effect to our health will be. We know that oil is mainly comprised of hydrocarbons, and that many of the hydrocarbons contained in oil, such as benzene, toluene and polynuclear aromatic hydrocarbons, are known to cause cancer. However, oil also contains heavy metals such as mercury, lead and arsenic that can cause a host of health problems including cancer," says Carl.
Because of the chemical dispersants used to clean up the oil spill, hydrocarbons are readily being absorbed into clams, oysters and other shellfish.
"However, in much the same way that mercury and other heavy metal move up the food chain, these harmful hydrocarbons also move up the food chain as other marine organisms feed on the shellfish and then themselves get eaten by fish and other marine organisms," he says.
"The oil spill in the Gulf will lead to high concentrations of heavy metals and hydrocarbons in shellfish and larger predatory fish such as, tuna, swordfish and shark," explains Carl.
However, since the oil spill is so large, the contamination is not confined to only large predatory fish. Every marine organism in the Gulf of Mexico could be affected by the massive oil spill.
"Just like with the Valdez Oil Spill, contaminants from the oil spill in the Gulf will also last for years and build up in the food chain, causing increased risk of cancer and neurological disorders," explains Carl.
Mercury levels in seafood have been unacceptably high for quite some time. Prior to the oil spill in the Gulf, laboratory tests from 20 restaurants in Manhattan showed higher than acceptable mercury levels in the sushi at most of these restaurants. Mercury levels from seafood in restaurants and grocery stores in California were routinely found to be higher than FDA limit of 1ppm in fish tissue.
"Since the contamination from the oil spill in the Gulf is so pervasive, in the near future and for many years to come, I expect that the mercury levels in random checks of seafood in both restaurants and grocery stores to be much higher than they were prior to the spill in the Gulf," says Carl.
"Since no government agency regularly tests seafood for mercury, and since testing seafood for hydrocarbons is difficult to do, cancer levels are bound to increase with no end in sight," he says. "Hopefully, more regulation and testing will enter into the seafood industry as a whole because of the oil spill in the Gulf. In the meantime, maybe we should seriously consider drastically limiting our intake of seafood."
About Milton Carl
After losing his brother to cancer and father as an indirect consequence of type 2 diabetes, Milton founded Axe Nutrition in order to help individuals find the cure for cancer, the cure for diabetes (type 2 diabetes), the cure for high blood pressure, the cure for high cholesterol, the cure for arthritis, and natural cures for many other diseases.
Milton is the author of "God's Miracle Cure," The Cure for Cancer, Type 2 Diabetes, High Blood Pressure, High Cholesterol, Arthritis, and Many Other Diseases Revealed. "God's Miracle Cure" is available at http://www.AxeNutrition.com
To arrange an interview with Milton Carl, please call 972-898-8355 or email: firstname.lastname@example.com.
Contact: Milton Carl Phone: 972-898-8355 Website: http://www.AxeNutrition.com Email: firstname.lastname@example.com
SOURCE Milton Carl


text:
Every other Monday, some of Hollywood's top prop makers build one-of-a-kind...
Paul F. Tompkins and comedian Reggie Watts (Comedy Bang! Bang!, Louie) make...
Comedian Reggie Watts (The Late Late Show, Comedy Bang! Bang!, Louie, and m...
What a waste
Fun With PBR
took a lot of drinkin
took a lot of drinkin
Hail to the King
Have you seen my PBR?
Clint Eastwood drinking a PBR
Having it blessed means it's okay now.
They'll regret that PBR.
PBR Burner!
Rohawk is waiting for PBR flavor
In This Picture: Photo of man with pbr tattoo
Break Picture Gallery: June 27th, 2012 Edition. Derp faces, Anne Hathaway,...
A bday cake made of pbr cans
Who says Larping is for nerds? These PBR drinking hipsters want in on the ...
Now when you hipsters run out of PBR and underground bands that you listene...


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6:38 am
Tue June 5, 2012
Castle In Phoenix Sells For $1.5 Million
By editor
Good morning. I'm Renee Montagne. Among the many foreclosed properties in Phoenix, a castle on Camelback Mountain would have seemed a tough sale. But Robert Pazderka saw an opportunity when he paid a million and a half dollars for a faux Moorish castle. Built in the 1960s, it has a dungeon, drawbridge and secret passages, though it is a bit of a fixer upper, needing millions in renovations. The new owner hopes it will pay off in PR for his business making armored vehicles. It's MORNING EDITION. Transcript provided by NPR, Copyright National Public Radio.


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Sticker Shock is coming to Carrollton.
If you read that sentence and were confused, it's OK, most readers have probably never heard of the term. "Sticker Shock" is a campaign geared toward the prevention of underage drinking.
According to Mothers Against Drunk Driving (MADD.org). each year underage drinking contributes to approximately 4,700 deaths in Kentucky alone. We aim to decrease that statistic in Carroll County with prevention and education measures like Sticker Shock.
Copyright © 2015
The News-Democrat is your source for local news, sports, events, and information in Carroll County, KY and the surrounding area.


text:
Senior Software Engineer - Java/Python/Javascript/Adobe Flex
Russia - Last active: 18 hours ago - Tests: 7 - Portfolio: 3
My core competency lies in understanding the needs of my clients and building ground-up algorithmically and architecturally challenging solutions be it a web, a desktop or a mobile application. I turn ideas into palpable reality. My range of expertise includes Java (J2EE, SpringFramework, JBoss, GWT, Maven), Javascript ( React, Node.js, Meteor, RxJS, Knockout, JQuery, Backbone), Python (Pyramid, Django), ActionScript 3 (Flex 3/4, Cairngorm, PureMVC, Parsley, Robotlegs), C++ (OpenGL, Qt, wxWidgets), Unity3D, Semantic Web (RDF, SWRL, Jena Framework, Protege), HTML5, basic Linux administration, Git, Mercurial, Subversion, PostgreSQL, MySQL, Vagrant, Ansible, Google App Engine (GAE), Salesforce. I am from Russia (Eastern Europe).
Apache/Adobe Flex, ActionScript 3 Programmer in the US
United States - Last active: 7 days ago - Tests: 4 - Portfolio: 7
I am a programmer with many years experience in many areas. I specialize in Adobe Apache Flex / Flash Builder, ActionScript 3, PHP. Other skills: Robotlegs, Weborb, XML; API's for: Google Earth and Maps; Facebook. Photoshop CS3, Wordpress, C/C++, some Perl, some Python. Extensive MySQL, Oracle, GEDCOM parsing. I have a BS degree in computer Science, I am located in Salt Lake City Utah, and am here to give you a great product for a fair price.Skype user: art.guy
- Google Maps API
- ActionScript 3
- JavaScript
- jQuery
- Node.js
- Bootstrap
- Adobe Flex
- MySQL Administration
- Socket Programming
Associated with: Larry's Marketing, LLC Agency
ActionScript 3.0 / Adobe Flex / AIR / Flash developer
Russia - Last active: 1 month ago - Tests: 8 - Portfolio: 7
Adobe Flex, Adobe AIR, AS3 Senior Software Engineer
Ukraine - Last active: 05/18/2014 - Tests: 7 - Portfolio: 4
Over the last 5 years, I have developed a wide range web, desktop and mobile applications from start to end , for startup companies and small businesses. I have experience to develop client side application using Apache(Adobe) Flex/ AIR, AS3 and server side application (services) using Java and BlazeDS. And I have experience to develop Databases using MySQL and PostgreSQL RDBMS. I also have some experience in the following areas: HTML, XML, JavaScript, JQuery, Qt, C++, C.
Flex, Java, Scala, FMS, Wowza. Adobe Certified Expert
Ukraine - Last active: 7 days ago - Tests: 10 - Portfolio: 13
Since 2005 Stan acted in a wide range of roles, such as Senior Software Engineer, Team Lead, System Architect. Although he do has management skills, his core interest and competency is technical problem-solving. He has developed (working in a team or as a Team Lead) a number of software products, primarily enterprise applications, video streaming, games, mobile apps. He is looking for opportunities to work on technically complex software projects, requiring deep understanding of software technologies. Stan has experience in: - Flash, Flash, Adobe Flex (Flex 3, Flex 4), Adobe Air, Adobe Media Server (FMS), Wowza; - Java, Scala, Play Framework, Akka, JavaScript, Salesforce; iOS, Android Mobile Apps with Adobe stack, ANEs developement, Push notifications; - algorithms, mathematical modeling, strong knowledge of OOP and design patterns.
- Java
- Scala
- Adobe Flex
- Play Framework
- ActionScript 3
- Adobe Flash
- Adobe AIR
- JavaScript
- Video Streaming
- WebRTC
Groups: Adobe Certified Experts, salesforce.com
Enterprise RIA [Adobe Flex|AIR/JavaScript], RoR, Java, Python, Linux
Ukraine - Last active: 18 hours ago - Tests: 9 - Portfolio: 1
7th place in Top 25 Best Software Developer on oDesk for November 2009! 1st top ranked Flex/Air Developer on oDesk. Over the last 7 years, I have develop applications using Java, Python, Ruby, Adobe Flash, Adobe Flex 2,3,4, ActionScript 3, Caingorm, Robotlegs I specialize in developing high quality enterprise scale application where I can utilize my knowledge.I also have big experience in the following areas: Java, Django, Ruby on Rails, .NET, HTML, CSS, SQL, Ajax, Postgresql, MySQL, Oracle, project management.
- Adobe Flex
- Adobe AIR
- ActionScript 3
- Ruby
- Ruby on Rails
- PostgreSQL Administration
- Cucumber
- RSpec
- Adobe Flash
- ActionScript
- Java
- Oracle database
- Oracle PL/SQL
- Oracle Forms
- Oracle Reports
- Oracle Application Server
- SAP Crystal Reports
- iPhone App Development
- Android App Development
- JavaScript
- MySQL Administration
- Internet Information Services (IIS)
- Linux System Administration
- Unix System Administration
- Nginx
- Ubuntu
- Amazon EC2
- Amazon Relational Database Service
- Amazon S3
- Amazon Web Services
Groups: Engine Yard Ruby on Rails Professionals Network
Associated with: TSF Solutions Agency
Android, Adobe Flex/Flash/Air, AS3 and C#.NET desktop/web Programmer
Pakistan - Last active: 3 days ago - Tests: 7 - Portfolio: 8
"Diligence and honesty is the foundation of all success." If you want mobile guru, let's talk with me. I used to develop operating systems and desktop applications for major business companies in Pakistan till 2009. Then I switched to mobile applications. I've been creating high quality and excellent mobile applications in the past 2 years. During the course, I learned various mobile development frameworks, seasoned with experience and in-depth knowledge of the mobile applications. For last 7+ years I've created large apps for major companies in US and Germany. I'm working as developer, team lead. My skills and experiences are following 1) Applications - iPhone/iPod/iPad, Android - Web Service, Ajax, XML, JSON, RSS, SOAP, WSDL - Video/Audio Streaming, Video Editing, Decoding/Encoding - Flex, Flash, MySQL, SQLite, HTML5, ASP.NET, C# - Facebook, Twitter, Linkedin - Google Map Service, push notifications - CoreData, CoreGraphics, Animation I will try to become the best developer. Best Regards, Kashif Ahmed
- Android App Development
- Adobe Flex
- ActionScript 3
- Adobe Flash
- Video Conversion
- Video Streaming
- Visual Basic
- JavaScript
- iOS Development
- Cocoa Touch
- Cocos2d
- Apple Xcode
- Java
- ActionScript
- Red5
- FFmpeg
- Wowza Media Server
- Apple UIKit Framework
- Adobe AIR
Senior Adobe Flash, ActionScript 3,Flex Developer
Ukraine - Last active: 02/18/2014 - Tests: 4 - Portfolio: 11
I have more than 7 years of solid experience creating Flash/ActionScript applications. I have been working with Flash based Games, banners, animations, etc. I have very strong algorithmic skills and enjoy developing software. I will be glad to contribute to your project and can deliver quality results.
Associated with: SOFTREACTOR LLC
Flash & Flex developer
Russia - Last active: 1 day ago - Tests: 6 - Portfolio: 29
Last 7 years I work with flash and flex. I remember time then flash was on AS1 without any OOP )) I'm professional in AS1/2 and AS3, mxml. Also I love to work with video streaming, live video. I have great experience working with RED5, wowza, FMS. Aslo I can handle server-side of development. I know java, php, MsSQL, ASP.NET. Can well-format HTML (include HTML5) and javascript.
- Adobe Flash
- ActionScript
- ActionScript 3
- Adobe Flex
- Game Development
- User interface design
- Graphics Programming
- .NET Framework
Groups: Yahoo Web Hosting Designer
Software Engineer
Russia - Last active: 18 hours ago - Tests: 10 - Portfolio: 3
Over the last 5 years, I was involved in development of a wide range of software using Adobe Flex/AIR, Microsoft .Net, С++. My core competency lies in front-end web development via Adobe Flex and desktop application development via Adobe AIR, Microsoft .Net and C++. I have Master of Science in Applied Mathematics degree. I am am seeking opportunities to use my knowledge in real-world applications.


text:
Monday, May 25, 2015
7 comments
Well TOM finally came and I have shed most of the water retention.
And even though I am taking it easier this week and have even eaten desert this weekend and had 2 cappuccinos (not the same day though....LOL) I am loosing weight.
As of ... Read more
Thursday, May 21, 2015
8 comments
On Monday I found myself in problem with the Olive Oil intake which was part of the Blood Cleanse. It was too much for my damaged pancreas & fatty liver. So I ended up with water retention, bloating & running tummy.
I went immediately on a... Read more
Friday, May 15, 2015
5 comments
The Nutritionist was very supportive, she also thinks the slight weight gain is due to the hormones. Was expecting TOM this week. Not come so far, but am cranky today.
Now in week 2 of the blood cleanse I continue as before, only Breakfast ... Read more
Monday, May 11, 2015
8 comments
I am still on the same weight as 10 days ago. Have followed the diet advise 95% over the last week. Am proud of that, but frustrated why the scale is not budging.....
I really would like to understand what is going on. Last weekend I also h... Read more
Friday, May 08, 2015
5 comments
I am really glad that for now I am done with Liver Cleanse.
Now Blood cleanse is different and a bit easier, apart from the Neem Tea, which is disgusting....
I start my day with lemon juice in hot water, 1 hr later I have vegetable juice... Read more
Thursday, April 30, 2015
7 comments
My Nutritionist is still worried about the pancreatitis I had some years back. So she wants me to continue with a lighter liver flush. Right now I do fruit days every other day and the normal days I take veggies & starch at lunch time, dinner on... Read more
Monday, April 27, 2015
7 comments
Tuesday, April 21, 2015
7 comments
Friday, April 17, 2015
8 comments
I couldn't resist the temptation and stepped on the scale this morning and was surprised!
After the scale hardly moved last week it has started again! I am now officially 4kg less than I was 3 weeks ago!
We will celebrate with a weekend f... Read more
Tuesday, April 14, 2015
7 comments
Thursday, April 09, 2015
9 comments
The Nutritionist changed things around a bit. I am now taking my banana instead of at breakfast at 11am.
I am still eating a full bowl of fruits for breakfast. Now am feeling much better. Getting also better at thinking up new ways of cooking... Read more
Tuesday, April 07, 2015
8 comments
As most of you know I have really been struggling with my weight loss in the last 2 years and have actually been on my heaviest ever.
After successfully loosing 10kg before that it was really frustrating. The combination of RA, Hormone Imbala... Read more
Monday, February 02, 2015
8 comments
Thursday, January 29, 2015
6 comments
Monday, October 27, 2014
10 comments


text:
Love you too!
Added to Bag!
We'll let you know if it's back in stock!
Added to Wishlist!
Amanita Second Helping Jar Set
By One Hundred 80 Degrees
Details & Measurements
Details & Measurements
Once guests get a taste of the homemade goodies you've stored inside these three ceramic mushroom jars from One Hundred 80 Degrees, they're sure to come back for a second serving! A mushroom cap tops the opaque silhouette of these red, orange, and yellow canisters, which house your delightful confections in charming fashion. Plant these dotted, rubber-sealed pieces atop your gingham tablecloth before tea time, and friends will soon be begging for 'morel' of your sweet treats!
- Ceramic.
- Individual jars measure 3.25 inches in height, 3 inches in diameter.
- Dishwasher safe.
- Set includes three jars.
- Imported
Need style advice? Make a date with a ModStylist »


text:
THIS IS WHAT THE MEMBERS OF THE Austin Ice Bats see as they skate out for practice: a Fitting Stool shoe store, a Hallmark Crown card shop, and a guy pushing a mop in a Furr's cafeteria. It's eight in the morning on the Friday before Thanksgiving, and the Bats are on the rink at Northcross Mall, which is empty save for a few seventy-something couples on their morning stroll.
Northcross is the team's official second home. And why does Austin's only professional sports franchise need another home? Because its primary residence, the Travis County Exposition Center, was built to showcase livestock and farming equipment, not Canadians and Zambonis, and at the moment, the Expo Center is hosting a tractor pull. It's probably just as well, since what they call ice at the Expo Center is actually, at least in November, more like a soup of slush, fog, and dirt. Welcome to hockey in Texas.
There are 103 professional hockey teams in the United States, and 10 of them are in Texas—the most of any state in the Union. Dallas, of course, has a franchise in the topflight Na-tional Hockey League, having swiped the North-stars from Minneapolis in 1993. The American Hockey League serves as the NHL's farm sys-tem; just below that is the International Hockey League, which has clubs in Houston and San Antonio. Below the AHL and the IHL are five roughly equivalent minor leagues; one of them, the Central Hockey League, has franchises in San Antonio and Fort Worth. But the main reason Tex-as has become a hockey mecca is the brand-new, six-team Western Pro-fessional Hockey League, which has franchises in Ama-rillo, Austin, El Paso, Waco, and Belton. (Albuquer-que rounds out the list.)
The emergence of hockey in Texas is actually part of a trend that started with the NHL, which spent the early nineties renewing its marketing efforts. In 1994 it inked its first network television contract in years—with Fox—and it has expanded southward to cities like Tampa Bay, Miami, and Phoenix. At the same time, minor league teams in locales like Memphis and Oklahoma City were drawing impressive crowds. Enter the WPHL, which began play last year and was founded by an investment group that included businessmen from the Southwest, Canadian entrepreneurs, and NHL players. The Ice Bats ownership is headed up by physician Daniel Hart, who went to the University of Texas at Austin before ending up in Cincinnati, where he fell in love with that city's IHL club, the Cyclones. He is joined by Ed Novess, a master brewer for Miller Brewing Company in Cincinnati who once lived in Fort Worth; Paul Lawless, a seven-year veteran of the NHL and onetime standout for the Cyclones who also plays for the Bats; and coach and general manager Blaine Stoughton, a former Cyclones assistant who starred for the NHL's Hartford Whalers.
The Austin franchise was originally going to be known as the Outlaws, but the more inventive name Ice Bats prevailed, inspired by the colony of winged mammals that live under the city's Congress Avenue bridge. The borderline silly name is firmly in a tradition that includes the Louisiana Ice Gators, the Kentucky Thoroughblades, and the Macon Whoopee. The other clubs in the WPHL are more prosaically monikered, though the Waco Wizards have problems with the local Baptist community (i.e., Waco), which thinks the name has satanic connotations.
The WPHL has gone out of its way to explain this strange new game to Texas. Each team has flyers explaining everything from ice making to icing, the sport's most frequently invoked rule. In Belton the Central Texas Stampede put a page in their program with rather superflu-ous translations of hockey lingo into basketball terms: a face-off is a jump ball, the rink is the court, and so on.
After a little more than three months of action, the WPHL's draw has been pretty good, ranging from about six thousand fans a game in the larger cities like Austin and Albuquerque—as many as nine thousand have come out in New Mexico—to more than four thousand in El Paso, Amarillo, and Belton (those Pagans, er, Wizards up in Waco aren't doing as well). The league honchos are so pleased with those numbers that they're already moving forward; next season there will be teams in Odessa-Midland, San Angelo, and Louisiana cities Lake Charles and Shreveport. The more distant future may include locales in Arizona and Colorado. The expansion will cleave the WPHL into two divisions and make it more entertaining for fans and players alike: Currently, the league schedule is a rather redundant gauntlet, with each club playing the five others twelve times, and then four of the six going on to playoff action.
While the great number of northern and Midwestern transplants in Texas probably has something to do with the league's early success, it really isn't so unlikely that Texas, ever the football state, would be the perfect place for hockey. It's a rough-and-tumble sport played by well-mannered hotheads, blue-collar workers, and prodigious snuff dippers. Really, the only difference between a small town in Alberta and a small town in Texas is the frozen pond in the back. Hockey is a fairly simple action-packed game that offers a little of everything to fans of more familiar sports. Enjoy the way football combines speed, grace, and violence? Try it on ice skates, with the occasional brawl added in. Prefer the subtle pleasures of baseball? Well, the mano a mano duel between pitcher and hitter is approximated when the goalie faces down a winger on a breakaway. Hockey also has the constant motion of basketball, but without that damnable habit of constant scoring. If anything, the game is most like soccer, except you don't use your head. That's what your teeth are for.
THE EXPO CENTER'S BIG TRACTOR pull isn't merely turning the team into the Mall Bats; it's also putting them on the WPHL's longest possible road trip—a straight shot to Albuquerque, then back through Amarillo and El Paso.


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A special agent (federal) is a law enforcement specialist who engages in the enforcement and investigation of violations of federal statutes. As these investigations and apprehensions can be highly involved and of clear and immediate danger to the general public, agencies who hire special agents are highly selective of their personnel. Special agents are also often detailed to teams and task forces revolving around a fairly tight focus.Read More...
As investigators, special agents will typically be allowed and required to question witnesses, persons of interest, and suspects regarding crimes in violation of federal statutes. Special agents also assist in the gathering of evidence through surveillance and field work. In some very specialized projects, the special agent may be required to infiltrate a group of individuals or an organization being investigated, sometimes in an undercover capacity. Much of the work a special agent does, however, involves organizing data collected either by themselves or other agents or investigators. The federal special agent will typically also use a great deal of his or her work time writing detailed reports. All of this office work must be done with meticulous detail, as it may be utilized by other agents or even prosecutors and could be presented as evidence.
Because federal agencies in law enforcement are so selective about their personnel, a person interested in being a special agent will likely need at least an undergraduate degree in law enforcement, criminology, or some related discipline. Many agents apply from or are recruited from the ranks of local and state law enforcement, and most federal agencies will look for practical experience and demonstrated excellence on the job. Special agents must also pass a rigorous background and security check in order to work in this field. Most agents work long, frequently irregular hours in field and office work.
Federal Bureau of Investigation (FBI) offers the lowest pay in the field with a median salary of just $98K, but on the other end, some employees may earn up to $129K.
Median of all compensation (including tips, bonus, and overtime) by years of experience.
Experience seems to be a major factor in determining the incomes of Federal Special Agents. Although individuals who have less than five years' experience earn $69K on average, people with five to 10 years benefit from a notably larger average of $89K. People with 10 to 20 years of experience make an average of about $96K in this role. Deeply experienced professionals who boast more than 20 years of experience haul in an ample $107K on average.
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The Crock-Pot Cook & Carry Digital Slow Cooker delivers all of the low-maintenance cooking performance we expect from a slow cooker, with a few nods to convenience and portability that give it an edge over its competitors.
Technically Incorrect: The police in Barstow, Calif., arrest a heavily pregnant black woman for allegedly resisting arrest. They say they did the right thing. Does the footage confirm that?
CNN releases a hilarious video parody of Adult Swim's "Too Many Cooks" that shows just how crowded the field of candidates for the 2016 presidential election is becoming.
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Apple's CEO uses commencement speech to relay societal changes he's witnessed during his lifetime and discuss changes still possible.
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Yep, you knew it had to go there. Adult Swim's "Too Many Cooks" parody has been pulled into the dark world of the HBO hit fantasy series "Game of Thrones." Like GoT, this video is NSFW. Also, spoilers.


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Ten pilots were found tipsy in pre-flight checks and have been grounded in the first six months of this year, Lok Sabha was informed on Monday.
Since 2011, a total of 99 pilots, including the 10, have been grounded for testing positive in the pre-flight medical examination for alcohol consumption, Minister of State for Civil Aviation G M Siddeshwara said in reply to a question.
While 17 of them tested positive in 2011, the number shot up to 41 in 2012, 31 in 2013 and 10 till July 14 this year, he said.
Aircraft rules prohibit consumption of liquor or any intoxicating material and allow checks to be carried out on pilots, navigators, engineers and cabin crew ahead of a flight.
In a similar scenario last month, out of the 42 cases of pilots reporting drunk for duty, as many as 21 cases were detected at Delhi airport. Another 11 were found under the influence of alcohol at Mumbai airport. Delhi accounted for half the cases of drunkenness among pilots detected last year, according to the Directorate General of Civil Aviation (DGCA).
In response to an RTI enquiry by Abhishek Shukla, the DGCA has now revealed some details of the disciplinary action taken against the "tipsy" pilots. Read more.


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1. The auditory tube allows air to pass between the cavity of the middle ear and the outside environment. As a result, air pressure normally remains equal on both sides of the eardrum.
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VIEWS: 143 PAGES: 8 CATEGORY: Emerging Technologies POSTED ON: 6/11/2010 Public Domain
(IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No. 2, May 2010 Data mining Aided Proficient approach for optimal inventory control in supply chain management Chitriki Thotappa Dr. Karnam Ravindranath Assistant Professor, Department of Mechanical Engineering, Principal Proudadevaraya Institute of Technology, Hospet. Annamacharya Institute of Technology, Tirupati Visvesvaraya Technological University, Karnataka, India email@example.com email@example.com Abstract— Optimal inventory control is one of the significant supply and demand, globalization, reduction in product and tasks in supply chain management. The optimal inventory technology life cycles, and the use of outsourcing in control methodologies intend to reduce the supply chain (SC) cost manufacturing, distribution and logistics resulting in more by controlling the inventory in an effective manner, such that, the complex supply networks, can lead to higher exposure to risks SC members will not be affected by surplus as well as shortage of in the SC [8]. inventory. In this paper, we propose an efficient approach that effectively utilizes the data mining concepts as well as genetic The ultimate goal of every SC is to maximize the overall algorithm for optimal inventory control. The proposed approach value generated by the chain, which depends on the ability of consists of two major functions, mining association rules for the organization to fulfill customer orders faster and more inventory and selecting SC cost-impact rules. Firstly, the efficiently [9]. While the separation of SC activities among association rules are mined from EMA-based inventory data, different companies enables specialization and economies of which is determined from the original historical data. Apriori, a scale, many important issues and problems need to be resolved classic data mining algorithm is utilized for mining association for a successful SC operation which is the main purpose of rules from EMA-based inventory data. Secondly, with the aid of supply chain management (SCM) [14]. SCM is a traditional genetic algorithm, SC cost-impact rules are selected for every SC management tool [1] which has attracted increasing attention member. The obtained SC cost-impact rules will possibly signify in the academic community and in companies looking for the future state of inventory in any SC member. Moreover, the practical ways to improve their competitive position in the level of holding or reducing the inventory can be determined global market [4]. SCM is an integrated approach to plan and from the SC cost-impact rules. Thus, the SC cost-impact rules that are derived using the proposed approach greatly facilitate control materials and information flows [3]. Successful SCM optimal inventory control and hence make the supply chain incorporates extensive coordination among multiple functions management more effective. and independent companies working together to deliver a product or service to end consumers [2]. Inventory control has Keywords-SC cost; SC cost-impact rule; EMA-based inventory; been considered as a vital problem in the SCM for several Apriori; Genetic Algorithm (GA). decades [10]. I. INTRODUCTION Inventory is defined as the collection of items stored by an enterprise for future use and a set of procedures called Nowadays, supply chains are at the center stage of inventory systems assist in examination and control of the business performance of manufacturing and service enterprises inventory. The inventory system supports the estimation of [5]. A SC consists of all parties involved directly or indirectly amount of each item to be stored, when the low items should and in satisfying a customer request. It includes suppliers, be restocked and the number of items that must be ordered or manufacturers, distributors, warehouses, retailers and even manufactured as soon as restocking becomes essential. The SC customers themselves [6]. Because of the intrinsic complexity cost was hugely influenced by the overload or shortage of of decision making in supply chains, there is a growing need inventories [11]. Since inventory is one of the major factors for modeling methodologies, which help to identify and that affect the performance of SC system, the effective innovate strategies for designing high performance SC reduction of inventory can substantially reduce the cost level networks [5]. Research on supply chains makes an attractive of the total SC [13]. Thus, inventory optimization has field of study, offering several approach roads to emerged as one of the most recent topics as far as SCM is organizational integration processes. Some of the problems are considered [11]. Inventory optimization application organizes considered as most important, which canalize research project the latest techniques and technologies, thereby assisting the in the area of supply chains that are related to demand enhancement of inventory control and its management across variability and demand distortion throughout the SC [7]. an extended supply network. Some of the design objectives of Modern supply chains are highly complex and dynamic; the inventory optimization are to optimize inventory strategies, number of facilities, the number of echelons, and the structure and thus used in enhancing customer service, reducing lead of material and information flow contribute to the complexity times and costs and meeting market demand [11]. of the SC [9]. In addition, increases in the uncertainties in 43 http://sites.google.com/site/ijcsis/ ISSN 1947-5500 (IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No. 2, May 2010 Under the influence of the SCM, conventional inventory confidence from a given database. Association rule mining is a control theories and methods are no longer adapted to the new two step process [27]: environment [12]. The optimal inventory control methodologies intended to reduce the SC cost in the SC • Finding those itemsets whose occurrences exceed a network. They minimize the SC cost by controlling the predefined threshold in the database, these itemsets are inventory in an optimal manner and so that the SC members called frequent or large itemsets. will not be affected by surplus as well as shortage of • Generating association rules from those large itemsets inventory. In order to control the inventory in an optimal with the constraints of minimal confidence. manner, we propose an efficient approach with the effective utilization of data mining concepts as well as GA. The rest of The basic problem in mining association rules is mining the paper is organized as follows. Section II gives a brief frequent itemsets [30]. Frequent item set mining problem has introduction about the data mining and generating association received a great deal of attention [28] from its introduction in rules using Apriori and Section III reviews some of the recent 1993 by Agarwal et al [35]. Frequent item sets play an related works. Section IV details the proposed approach for significant role in several data mining tasks that tries to optimal inventory control with required mathematical determine interesting patterns from databases, such as formulations. Section V discusses about the implementation association rules, correlations, sequences, episodes, classifiers, results and Section VI concludes the paper. clusters and much more [29]. There have been several various algorithms developed for mining of frequent patterns, which II. DATA MINING can be classified into two categories. The first category, Data mining is one of the newly emerging fields, which is candidate-generation-and test approach, such as Apriori and concerning the three worlds of Databases, Artificial second category of methods includes FP-growth and Tree Intelligence and Statistics. The information age has enabled Projection [30]. several organizations in order to gather huge volumes of data. Apriori is one of the most popular data mining approaches But, the utility of this data is negligible if "meaningful for determining frequent itemsets from transactional datasets. information" or "knowledge" cannot be extracted from it [15]. The Apriori algorithm is the key basis of several other well- Data mining has been emerging as an effective solution to known algorithms and implementations [31]. The Apriori analyze and extract hidden potential information from huge algorithm uses two values for rule construction: 1.) a support volume of data. The term data mining is used for techniques value and 2.) a confidence value. Depending on the setting of and algorithms that allow analyzing data in order to determine each index threshold, the search space can be reduced, or the rules and patterns describing the characteristic properties of candidate number of association rules can be increased. that particular data. [21]. However, experience is necessary for setting an effective Usually, data mining tasks can be categorized into either threshold [32]. The basic idea of Apriori algorithm is to prediction or description [18]. Clustering, Association Rule generate a specific size of the candidate projects set, and then Mining (ARM) [19] and Sequential pattern mining are few scan the database time's line counts, to determine whether the descriptive mining techniques. The predictive mining candidate frequent item sets [33]. techniques involve tasks like Classification [20], Regression III. RELATED WORKS and Deviation detection [34]. Data mining is utilized in both the private and public sectors. Data mining is usually used by Some of the recent research works available in the business intelligence organizations, financial analysts and also literature are described in this section. A. L. Symeonidis et al., used for healthcare management or medical diagnosis to [36] have introduced a successful paradigm for coupling extract information from the enormous data sets generated by Intelligent Agent technology with Data Mining. Considering modern experimental and observational methods [16] [17]. the state-of-the-art Multi-Agent Systems (MAS) development and SCM evaluation practices, they have proposed a Generally, Data mining is used to extract interesting methodology to identify the appropriate metrics for DM- knowledge that can be represented in several various enhanced MAS for SCM and used those metrics to evaluate its techniques such as clusters, decision trees, decision rules and performance. They have also provided an extensive analysis of much more. In these, association rules have been proved to be the methods in which DM could be employed to improve the effective in identifying interesting relations in massive data intelligence of an agent, agent Mertacor. A number of metrics quantities [25]. Association Rule Mining (ARM), initially were applied to evaluate their results before incorporating the introduced by Agrawal et al. [35], is a well-known data mining selected model with their agent. Their mechanism proved that research field [24]. ARM correlates a set of items with other their agent was capable of increasing its revenue by adjusting sets of items in a database [23]. It aspires to mine interesting its bidding strategy. correlations, frequent patterns, associations or casual structures among sets of items in the transaction databases or Steven Prestwich et al. [37] have described a simple re- other data repositories [22]. ARM has a extensive range of sampling technique called Greedy Average Sampling for applications in the fields of Market basket analysis, Medical steady-state GAs such as GENITOR. It requires an extra diagnosis/ research, Website navigation analysis, Homeland runtime parameter to be tuned, but does not need a large security and so on [26]. ARM is to identify the association population or assumptions on noise distributions. While rule which satisfies the pre- defined minimum support and experimented on a well-known Inventory Control problem, it performed a large number of samples on the best 44 http://sites.google.com/site/ijcsis/ ISSN 1947-5500 (IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No. 2, May 2010 chromosomes yet only a small number on average, and was IV. THE PROPOSED APPROACH FOR OPTIMAL INVENTORY more effective than the other four tested techniques. CONTROL Mouhib Al-Noukari et al [38] have explained a data In the proposed approach for optimal inventory control, mining application in car manufacturing domain and two major functions are included, namely, association rules experimented it. Their application results demonstrated the mining for inventory and recognizing optimal inventory rules capability of data mining techniques in providing important to be maintained. Prior to perform the two aforesaid functions, analysis such as launch analysis and slow turning analysis. a database of historical data has to be maintained. The Such analysis helped in providing car market with base for database holds the historical record of inventory over N p more accurate prediction of future market demand. periods in N s SC members, say, [ I ij ] N P × N S ; 0 ≤ i ≤ N P − 1 Tao Ku et al. [39] have presented a complex event mining and 0 ≤ j ≤ N S − 1 . Initially, the Exponential Moving network (CEMN) and defined the fundamentals of radio- frequency identification (RFID)-enabled SC event Average (EMA) is determined for the historical data as management. Also, they have discussed how a complex event follows processing (CEP) could be used to resolve the underlying architecture challenges and complexities of integrating real- I ema lj = I prev lj + α ( I (l + n) j − I prevlj ) ; 0 ≤ l ≤ N P − (n + 1) (1) time decision support into the supply chain. Finally, a distributed complex event detection algorithm based on where, master-workers pattern was proposed to detect complex events and trigger correlation actions. Their results showed that their approach was more robust and scaleable in large-scale RFID I ema (l −1) j ; if l > 0 application. I prevlj = 1 n −1 (2) Se Hun Lim [40] has developed a control model of SCM sustainable collaboration using Decision Tree Algorithms n i=0 ∑I ij ; otherwise (DTA). He has used logistic regression analysis (LRA) and multivariate determinate analysis (MDA) as a benchmark and compared the performance of forecasting SCM sustainable The EMA values of the original historical data for N P − n collaboration through three types of models LRA, MDA, periods, [ I emalj ] ( N P − n) × N S from (1), where, DTA. Forecasting SCM sustainable collaboration using DTA was considered as the most outstanding feature. The obtained α = 2 /(n + 1) (termed as constant smoothing factor), is result has provided useful information of SCM sustainable subjected for a decision making process as follows collaboration determining factors in the manufacturing and distributing companies. shortage ; I ema lj < I th Shu-Hsien Liao et al. [41] have investigated functionalities ' that best fit the consumer's needs and wants for life insurance I ema lj = balance ; I ema lj = I th (3) products by extracting specific knowledge patterns and rules excess ; I ema lj > I th from consumers and their demand chain. They have used the apriori algorithm and clustering analysis as methodologies for data mining. Knowledge extraction from data mining results As given above, EMA-based inventory data was illustrated as market segments and demand chain analysis ' on life insurance market in Taiwan in order to propose [ I emalj ] ( N P − n)× N S is obtained in which the original suggestions and solutions to the insurance firms for new historical data is converted into three different states of product development and marketing. inventory which include shortage, balance and excess. Xu Xu et al. [42] have proposed an approach that Subsequently, the association rules for inventory are mined combines expert domain knowledge with Apriori algorithm to from the previously obtained EMA-based inventory data. discover the pattern of supplier under the methodology of A. Mining Association rules for inventory using Apriori Domain-Driven Data Mining (D3M). Apriori algorithm of One of the two major functions of the approach, mining data mining with the help of Intuitionistic Fuzzy Set Theory association rules for inventory is described in the sub-section. (IFST) was employed during the process of mining. The Mining the association rules for inventory is to find the obtained overall patterns help in deciding the final selection of relationship between the inventories of the SC members. In the suppliers. Finally, AHP was used to efficiently tackle both proposed approach, we utilize Apriori, a classic algorithm for quantitative and qualitative decision factors involved in learning the association rules. Let, ranking of suppliers with the help of achieved pattern. An ' ' ' ' be the itemset taken from example searching for pattern of supplier was used to I ema , I ema , I ema , L , I ema demonstrate the effective implementation procedure of their l1 l2 l3 lN S method. Their method could provide the guidelines for the decision makers to effectively select their suppliers in the the EMA-based inventory data I ema { ' } lj ( N − n )× N P S . The itemset current competitive business scenario. 45 http://sites.google.com/site/ijcsis/ ISSN 1947-5500 (IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No. 2, May 2010 ' { and the dataset I emalj }( N P − n)× N S are subjected to Apriori rules are obtained where each set has R 'j number of rules and for mining association rules. Initially, the Apriori finds the they need not to be in equal number. From the N s set of rules, frequent itemsets with a minimum support threshold s min , and a rule per each SC member (i.e. a rule per set) is selected using determines the rule which states the probabilistic relationship GA. The rules are chosen in such a way that they have major between the items in the frequent itemsets with a minimum impact over the SC cost. confidence of c min . B. Selecting SC cost-impact rules using GA The Apriori determines the association rules from the The obtained rules from apriori are the frequently occurred frequent itemset by calculating the possibility of an item to be events in the past and so they illustrate that they have a good present in the frequent itemset, given another item or items is impact over the SC cost, but not strongly. To identify the rules that have strong impact over the SC cost (SC cost-impact present. For instance, considering a frequent itemset, I ' , emal1 rules), it is essential to consider the shortage cost and holding cost. It is already known that the SC cost increases, when I ' and I ' in which a rule may be derived as when either of the shortage and holding costs increases. Hence, by emal 2 emal 3 considering the shortage or holding cost in the GA, SC cost- the inventory in I ' and I ' are excess in a period impact rules can be obtained. The process of selecting SC emal1 emal 2 cost-impact rules using GA is explained as follows ' l ; l ∈ (0, N P − (n + 1)) , then the inventory in I ema is likely l3 Step 1: Generate initial to be shortage. The general syntax of the rule for the aforesaid chromosomes, X a = [ x (a ) x ( a ) x ( a ) L x ( a ) ] ; 0 ≤ a ≤ N pop − 1 , 0 1 2 N −1 example is given S ' ' ' as ( I ema l1 = excess, I ema l 2 = excess ) → ( I ema l 3 = Shortage) where N pop is the population size. The j th gene of the ; c ≥ c min . Hence, by using the apriori, the association rules chromosome x (ja ) ; 0 ≤ j ≤ N S − 1 is an arbitrary integer in the are mined with a minimal confidence c min based on the interval (0, | R 'j | −1) , where, R 'j is the cardinality of the rule frequent itemset with a minimal support s min . The mined rules are given as { A}q → {B}q ; set belongs to the j th SC member. 0 ≤ q ≤ N r − 1 , where, { A}q and {B}q are the antecedent and Step 2: Determine fitness of the chromosomes present in the population pool using the fitness function th consequent of the q rule respectively and N r be the number of association rules generated. The antecedent and 1 consequent consists of one or more items that belongs to the f (a) = (6) N S −1 itemset I ' ema lj (i.e. { A} q ⊆ I ' emalj , {B} q ⊆ I ' emalj ) ∑ C I × µ ema ( R 'j ( x ( a ) )) × c ' ( a ) j j j R j (x j ) j =0 and also it satisfies { A}q ∩ {B}q = φ . After obtaining the where, association rules, they are allocated for j th SC member based on the consequent of the rules. The final rules after allocation S ; if µ ' (a) are obtained as follows cj ema j ( R j ( x j )) < 0 (a) CI j = H c j ; if µ ema j ( R 'j ( x j )) > 0 (7) R 'j = R j − φ (4) 0 ; if µ ' (a) ema j ( R j ( x j )) = 0 where, ∑ 1 { A} → {B} ; if I ' ∈ {B}q µ ema j ( R 'j ( x (ja ) )) = I ema k (8) q q emalj F (a ) j Rj = (5) R 'j ( x j ) k ∈(0, N P − ( n +1)) φ ; else In (6), f (a ) is the fitness value of a th chromosome, C I j Using (5), the rules R 'j which have the element I ' in ema lj (determined using (7)) is the inventory cost incurred by the (a ) the consequent are assigned to the j th SC member. Each SC j th SC member, µ ema j ( R 'j ( x j )) ( determined using (8)) is member has its own rules that illustrate its inventory's state the mean EMA value of the I ema l that are taken only from with respect to other SC member or members. So, N s set of j 46 http://sites.google.com/site/ijcsis/ ISSN 1947-5500 (IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No. 2, May 2010 (a ) the pattern which satisfies the rule R 'j ( x j ) and c ' ( a ) N S −1 C × µ ' best R j (x j ) SC best = ∑ Ij ema ( R j ( x j )) (9) (a ) is the confidence of the rule R 'j ( x j ) . In (7), S c j is the j =0 shortage cost incurred for a unit of shortage in j th SC N S −1 ∑ c R j ( xbest ) 1 member, H c j is the holding cost incurred for a unit to hold in c best = (10) NS j j =0 the j th SC member. In (8), F ' ( a ) is the frequency of R j (x j ) Similarly, the mean SC cost and the mean confidence are (a ) occurrence of data pattern that satisfies the rule R 'j ( x j ) and determined for all the remaining rules in the rule set R 'j . { } Then, the efficacy is compared by determining the difference I emak is the EMA value of inventory in j th SC member that between the SC cost and confidence of the final SC cost- j impact rule and the mean SC cost and the mean confidence of the remaining rules, respectively. are available in the data pattern, where, I emak ∈ I emal . j j V. RESULTS AND DISCUSSION Step 3: Select the best N pop / 2 chromosomes, which The proposed approach for optimal inventory control has have minimum fitness, from the population pool. been implemented in the working platform of JAVA (version Step 4: Crossover the selected chromosomes with a JDK 1.6) and the results are discussed in this section. The inventory data (weekly data) has been simulated for five years crossover rate of CR so as to obtain N pop / 2 children (i.e. N p = 260 ) by considering five SC members chromosomes. (i.e. N s = 5 ), an agent A1 and four retailers, R1 , R2 , R3 Step 5: Mutate the children with a mutation rate of MR and R4 . In the simulated inventory data, the negative and which leads to N pop / 2 new chromosomes. positive values represent the shortage amount of inventory and excess amount of inventory respectively. All the SC members Step 6: Place the N pop / 2 new chromosomes and have been considered to have the shortage cost and holding N pop / 2 parent chromosomes in the population pool. cost as S c = Rs.2.50 and H c = Rs.1.00 respectively. The ' I ema determined from the simulated data with n = 7 is given Step 7: Go to step 2, until the process reaches a maximum number of iterations N g . Once the process reaches N g , in the Table I. terminate it and select the N pop / 2 best chromosomes, which TABLE I. A SAMPLE OF EMA-BASED INVENTORY DETERMINED FROM THE have minimum fitness value. SIMULATED DATA The best chromosomes obtained from the GA indicate Sl. A1 R1 R2 R3 R4 N pop / 2 set of rules in which each set has N s rules (one rule No 1 Excess Shortage Excess Excess Excess per SC member). From the rule obtained for a particular SC member, it can be decided that 2 Excess Shortage Excess Shortage Shortage 3 Excess Shortage Excess Shortage Shortage • The inventory will likely to be as in the rule given for the inventory of the associated SC members. 4 Excess Shortage Excess Shortage Excess • Either by reducing or by increasing the holding level The first major function of the proposed approach, mining of inventory (can be decided from the rule) in the SC association rules for inventory using Apriori has been member, an optimal level of inventory can be implemented with the aid of data mining software WEKA maintained in the upcoming days. (version 3.7). The Table II and the Table III consist of some Hence, by the optimal inventory control, the SC member frequent itemsets with s min = 10% that are discovered from will not be suffered either by increased shortage cost or by ' the I ema and some of the association rules generated from the increased holding cost. This ultimately helps to keep the SC cost in a controlled manner. discovered frequent itemset respectively. The rules that are categorized based on the consequent are shown in the Table C. Evaluation of Rules IV. The efficacy of the rules is demonstrated by comparing the obtained rules with all the remaining rules. To accomplish this, the SC cost and the confidence of the rule associated to the best chromosome are determined as 47 http://sites.google.com/site/ijcsis/ ISSN 1947-5500 (IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No. 2, May 2010 TABLE II. SOME FREQUENT ITEMSETS DISCOVERED FROM ' I ema AT LENGTHS L1 , L2 , L3 AND L4 , AND THEIR SUPPORT. Length of Frequent itemset Support % the itemset R1=Shortage 0.536 53.6 L1 R1=Excess 0.476 47.6 R2=Excess 0.6 60 R1=Shortage, R2=Excess 0.316 31.6 L2 R1=Shortage, R2=Shortage 0.22 22 R1=Shortage, R3=Excess 0.224 22.4 R1=Shortage, R2=Excess, R3=Excess 0.128 12.8 L3 R1=Shortage, R2=Excess, R3=Shortage 0.188 18.8 R1=Shortage, R2=Excess, R4=Excess 0.132 13.2 R1=Shortage, R2=Excess, R3=Shortage, R4=Shortage 0.1 10 L4 R1=Shortage, R2=Excess, R3=Shortage, A1 =Shortage 0.104 10.4 TABLE III. SOME GENERATED ASSOCIATION RULES WITH c min = 30% AND THEIR CONFIDENCE Sl. Association Rules Confidence % No 1 R2=Excess, R4=Shortage, A=Excess ==> R1=Shortage 79 2 R1=Excess, A=Excess ==> R3=Shortage 76 3 R1=Excess, R4=Excess, A=Shortage ==> R2=Excess 75 4 R1=Shortage, R4=Shortage, A=Excess ==> R2=Excess 72 TABLE IV. SOME OF THE RULES THAT ARE CATEGORIZED BASED ON THE CONSEQUENT OF THE RULES Sl. No Rule for A1 Rule for R1 Rule for R2 Rule for R3 Rule for R4 (R1=Excess, (R2=Excess, (R1=Excess, (R1=Excess (R1=Excess, R3=Excess) → R4=Shortage, R4=Excess, ,R2=Excess, 1 A1=Excess) → A1=Shortage A1=Excess) → A1=Shortage) R3=Shortage) R3=Shortage R1=Shortage → R2=Excess → R4=Excess (R1=Shortage, (R4=Excess, (R1=Excess, (R2=Shortage, (R3=Excess, R4=Shortage, A1=Excess) → R2=Excess) → 2 R3=Excess) → A1=Excess) → A1=Excess) → R3=Shortage R4=Excess A1=Shortage R1=Shortage R2=Excess (R1=Shortage, (R3=Excess, (R1=Excess, (R2=Shortage, (R1=Shortage 3 R2=Shortage) → R4=Shortage) R4=Excess) → A1=Excess) → ,R3=Excess) → A1=Shortage → R1=Shortage R2=Excess R3=Shortage R4=Shortage (R1=Excess, (R1=Shortage, (R2=Shortage (R2=Excess, (R2=Shortage, R3=Shortage, R2=Excess, 4 ,R4=Shortage )→ R4=Shortage) R3=Excess) → R4=Excess) → A1=Shortage) A1=Shortage → R1=Shortage R4=Shortage R2=Excess → R3=Shortage In selecting the SC cost-impact rules, the GA has been TABLE V. THE RULES ASSOCIATED TO THE CHROMOSOME, WHICH IS GIVEN IN THE FIG. 1. initialized with a chromosome length = 5 (i.e. number of genes = 5 ), N pop = 10 and N g = 50 . The Gene. no Associated rules generated initial chromosome and the rules that are associated 0 R4 = -12.46 --> R1 = -11.7, R3 = -8.64 to the chromosome are given in the Fig. 1 and the Table V, 1 R3 = -11.32 --> R2 = -9.09 respectively. 2 R4 = -12.46 --> R1 = -11.7, R3 = -8.64 3 R2 = -8.84 --> R4= 6.26 4 R1 = -11.91 --> A1 = -45.6 Figure 1. An initial chromosome of length '5' with random values in their The generated chromosomes have been subjected to genes crossover with CR = 0.6 and the obtained children have been 48 http://sites.google.com/site/ijcsis/ ISSN 1947-5500 (IJCSIS) International Journal of Computer Science and Information Security, Vol. 8, No. 2, May 2010 subjected to mutation with MR = 0.4 . In the mutation, the The final SC cost-impact rules that are associated to the gene values in the mutation point are changed arbitrarily so obtained best chromosomes are given in the Table VI. that new chromosome is obtained from the child chromosome. TABLE VI. SOME OF THE FINAL SC COST-IMPACT RULES ASSOCIATED TO THE BEST CHROMOSOMES OBTAINED FROM GA. Solution Best SC cost-impact Rules no. A1 R1 R2 R3 R4 R4 = -11.84 → R4 = -10.33 → R4 = 9.67 → R4 = -11.62 → R3 = -8.55 → 1 R2 = -10.89, A1 = R1 = -12.02, A1 R1 = 14.12, R3 R2 = -10.02 R4 = -12.11 -45.89 = -46.68 = -12.52 R4 = -11.84 → (R2 = 10.15, A1 R4 = 9.67 → R4 = -11.62 → R3 = -8.55 → 2 R2 = -10.89, A1 = = 25.94) → R1 R1 = 14.12, R3 R2 = -10.02 R4 = -12.11 -45.89 = -11.56 = -12.52 All the obtained rules in a solution provide their combined impact rules. It could also be decided, whether the inventory contribution in the SC cost. The SC cost given by the solution has to be reduced or increased in the particular SC member. was very high in the past records and so, by considering those Also, an EMA level of inventory to be reduced or increased rules in the solution, the SC cost can be reduced in the future. can also been determined from the obtained SC cost-impact The cost reduction can be accomplished by inverse holding of rules. Thus, the SC cost will be reduced proficiently by the inventory that has been obtained as a rule for a particular SC proposed optimal inventory control approach that paves the member. From Table VI, by keeping 46, 12, 10, 13 and 12 way for effective SCM. (approximately) units of products additionally in the SC member A1 , R1 , R2 , R3 and R4 , respectively, the SC cost will REFERENCES [1] Duangpun Kritchanchai and Thananya Wasusri, "Implementing Supply be reduced in the future. 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Constraints", International Conference on Wireless Communications, [34] S.Shankar, T.Purusothaman, "Utility Sentient Frequent Itemset Mining Networking and Mobile Computing, 2007, WiCom 2007, p.p. 4931- and Association Rule Mining: A Literature Survey and Comparative 4933, DOI. 10.1109/WICOM.2007.1208. Study", International Journal of Soft Computing Applications, ISSN: [14] Peter Trkman and Ales Groznik, "Measurement of Supply Chain 1453-2277 Issue 4 (2009), pp.81-95 Integration Benefits", Interdisciplinary Journal of Information, [35] R. Agrawal, T. Imielinski, and A.N. Swami, "Mining association rules Knowledge, and Management Volume 1, p.p. 37-45, 2006. between sets of items in large databases", In Proceedings of the 1993 [15] Yehuda Lindell and Benny Pinkas, "Privacy Preserving Data Mining", ACM SIGMOD International Conference on Management of Data, journal of Cryptography, vol. 15, no. 3,2002. pages 207{216, ACM Press, 1993. [16] David L. Iverson, "Data Mining Applications for Space Mission [36] L. Symeonidis, V. Nikolaidou and P. A. Mitkashave, "Sketching a Operations System Health Monitoring", NASA Ames Research Center, methodology for efficient Supply chain management agents enhanced Moffett Field, California, 94035, 2008. through Data mining", International Journal of Intelligent Information and Database Systems Vol. 2, Issue. 1, pp: 49-68, 2008. [17] Ping Lu, Brent M. Phares, Terry J. Wipf and Justin D. Doornink, "A Bridge Structural Health Monitoring and Data Mining System", in [37] Steven Prestwich, S. Armagan Tarim, Roberto Rossi and Brahim Hnich, Proceedings of the 2007 Mid-Continent Transportation Research "A Steady-State Genetic Algorithm With Resampling for Noisy Symposium, Ames, Iowa, August 2007. Inventory Control", Lecture Notes in Computer Science, Parallel Problem Solving from Nature – PPSN X, 2008. [18] Tibebe Beshah Tesema, Ajith Abraham And Crina Grosan, "Rule Mining And Classification of Road Traffic Accidents Using Adaptive [38] Mouhib Al-Noukari and Wael Al-Hussan, "Using Data Mining Regression Trees", In Proc. Of I. J. On Simulation, Vol. 6, No. 10 and Techniques for Predicting Future Car market Demand," in proceedings 11, 2008. of the 3rd International Conference on Information and Communication Technologies: From Theory to Applications, pp. 1 - 5, 7-11 April, 2008. [19] F. Coenen, Leng, P., Goulbourne, G., "Tree Structures for Mining Association Rules", Journal of Data Mining and Knowledge Discovery, [39] Tao Ku, YunLong Zhu and KunYuan Hu, "A Novel Complex Event Vol 15, pp: 391-398, 2004. Mining Network for Monitoring RFID-Enable Application," Pacific- Asia Workshop on Computational Intelligence and Industrial [20] Hewen Tang, Wei Fang and Yongsheng Cao, "A simple method of Application, Vol. 2, pp. 925-929, 19-20 December, 2008 classification with VCL components", proceedings of the 21st international CODATA Conference, 2008. [40] Se Hun Lim, "The Design of Controls in Supply Chain Management Sustainable Collaboration Using Decision Tree Algorithm", in proc. of [21] Gerhard Münz, Sa Li, and Georg Carle, "Traffic anomaly detection using Intl. Journal on Computer Science and Network Security, vol. 6, no. 5A, k-means clustering", in proceedings of GI/ITG-Workshop, Hamburg, May 2006. Germany, September 2007. [41] Shu-Hsien Liao, Ya- Ning Chen and Yu- Tia Tseng, "Mining demand [22] Sotiris Kotsiantis and Dimitris Kanellopoulos, "Association Rules chain knowledge of life insurance market for new product development", Mining: A Recent Overview", GESTS International Transactions on in proc. of Intl. Journal on Expert Systems with Applications, vol. 36, Computer Science and Engineering, vol. 32, no. 1, pp: 71- 82, 2006. no. 5, pp: 9422- 9437, July 2009. [23] Huebner, Richard A., "Diversity- Based Interestingness Measures for [42] Xu Xu, Jie Lin and Dongming Xu, "Mining pattern of supplier with the Association Rule Mining", in proc. of ASBBS Annual Conference, vol. methodology of domain-driven data mining", in proc. of IEEE 16, no. 1, Feb. 2009. International Conference on Fuzzy System, pp: 1925- 1930, 20- 24 Aug., [24] Yanbo J. Wang, Qin Xin and Frans Coenen, "Hybrid Rule Ordering in 2009. Classification Association Rule Mining", Transactions on Machine Leaning and Data Mining, vol. 1, no. 1, pp: 1- 15, 2008. Chitriki Thotappa received the B.E (Mech) and M.E [25] Rahman AliMohammadzadeh, Sadegh Soltan and Masoud Rahgozar, (Production Management) degrees from the Department of "Template Guided Association Rule Mining from XML Documents", in Mechanical Engineering from Gulbarga and Karnataka proceedings of the 15th international conference on World Wide Web, Universities, Karnataka, INDIA in 1991 and 1994 pp: 963- 964, 2006. respectively, he is currently pursuing the Ph.D. degree in [26] M.H.Margahny and A.A.Mitwaly, "Fast Algorithm for Mining the field of Supply Chain Management and closely Association Rules", in proc. of AIML Conference, 19- 21 December working with his research supervisor Dr. Karnam 2005. Ravindranath. He is presently working as a Assistant [27] Kamrul Abedin Tarafder , Shah Mostafa Khaled , Mohammad Ashraful Professor in the Department of Mechanical Engineering, Proudadevaraya Islam , Khandakar Rafiqual Islam, Hasnain Feroze, Mohammed Institute of Technology, Hospet. Visvesvaraya Technological University, Khalaquzzaman and Abu Ahmed Ferdaus, "Reverse Apriori Algorithm Karnataka India and also visiting faculty for Diploma, and P.G Courses. And for Frequent Pattern Mining", in proc. of Asian Journal on Information is a member for Professional bodies like MISTE and MIE. Technology, vol. 7, no. 12, pp: 524- 530, 2008. [28] Bart Goethals, "Memory issues in frequent itemset mining", Proceedings Dr. Karnam Ravindranath received the B.E ( Mech), of the 2004 ACM symposium on Applied computing, Nicosia, Cyprus, M.E (Industrial Engg.) Degrees from Sri Vekateshwara pp: 530-534, 2004. University, Tirupati Andra Pradesh India in 1971 and 1976 [29] Bart Goethals, "Survey on Frequent Pattern Mining", Technical report, respectively and later completed his Ph.D from Institute of Helsinki Institute for Information Technology, 2003. Technology, Delhi in 1985. He worked as a Professor and Head, Department of Mechanical Engineering and also [30] M.H.Margahny and A.A.Shakour, "Scalable Algorithm for Mining Principal of Sri Venkateshwara College of Engineering, Sri Association Rules", in proc. of AIML Journal, vol. 6, no. 3, Sept. 2006. Venkateshwara University, Tirupati Andra Pradesh INDIA. During this period [31] E. Ansari, G.H. Dastghaibifard, M. Keshtkaran and H.Kaabi, "Distributed he has visited Pennsylvania University, USA, and Hamburg University, Frequent Itemset Mining using Trie Data Structure", in proc. of Intl. Germany and presented papers in International conference. He has awarded Journal on Computer Science, vol. 35, no. 3, 21 August 2008. best teacher by the Govt. of Andhra Pradesh in 2007, and having a teaching [32] Ayahiko Niimi and Eiichiro Tazak, "Rule Discovery Technique Using experience of 32 years, he worked as a Dean faculty of Engineering, Chairman Genetic Programming Combined with Apriori Algorithm", Lecture Board of Studies (UG and PG) and also Dean of Examinations. He has more Notes In Computer Science, Springer-Verlag, vol. 273- 277, London, than 70 research paper publications in International and National journals in UK, 2000. his credit. He has produced 7 Ph.D scholars and another 8 are in pipeline. Presently working as a Principal of Annamacharya Institute of Technology, Tirupati. And is a member for Professional bodies like MISTE and MISME. 50 http://sites.google.com/site/ijcsis/ ISSN 1947-5500
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30 March 2012 - Render-Node - 7 Comments
KDrive, Xnest, Xvfb Called For Removal From X.Org
X.Org developers are currently discussing the possibility to remove the KDrive, Xnest, and Xvfb technologies from the X.Org Server, citing that their functionality has been superseded by better alternatives and this could lead to trimming the xorg-server by over 30,000 lines of code.
27 March 2012 - X.Org Death - 58 Comments
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Re: VA loan with a Federal Tax lien
Yes! the above statement is true.YOU can get the lien released, but I would enlist the help of your local tax advocate and tell them what you are trying to do. They will receptive if you are upfront with them. Your tax advocate is there to help you, it can be done. I had a friend in the same situation and they released the lien and agreed to pursue second position if he defaulted on the loan. It can be done.
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Aug 20, 2015
The Texas Governing Leadership Forum brings together officials and decision makers from Texas state and local government, public sector advisors and industry experts from around the nation, along with thought leaders from Governing's award-winning editorial team to discuss leadership and management in general and learn about innovative strategies and transformative solutions to address the specific challenges facing the state. The day's sessions will highlight cutting edge technologies and modern tools for more effective, efficient public sector management and policy making. Gain the information, skills, and connections to become a leader in government transformation.
Topic Highlights:
Open to Public Sector only.
Registration – Free
If you represent a Private Sector organization and are interested in attending the Event, please contact Heather Earney, Sales Operations Manager (916) 932-1435.
For registration and general assistance contact:
Katie Howard, Registration Coordinator
Phone: (916) 932-1421
E-mail: email@example.com
Sponsorship opportunities are available. For more information, contact:
Heather Earney, Sales Operations Manager
Phone: (916) 932-1435
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River Bend Middle School4670 Oxford School RoadClaremont, NC 28610828.241.2754Fax 828.241.2820
River Bend Middle School
4670 Oxford School Road
Claremont, NC 28610
Fax 828.241.2820
Car riders report to the
cafeteria (Not before 7:30)
Bus Riders report Homeroom
or the cafeteria
Warning Bell-8:10
Tardy Bell-8:15
Car Rider Bell-3:14
Carolina Orthopaedic Specialists are offering pre-participation sports exams for all athletes. It is mandatory for every athlete to have an updated physical prior to try-outs.
May 27th at Bunker Hill High School,
Physicals will start at 6:30 pm
Cost is $15.00 Cash Only!!
Order your yearbook here. Just click on the link below!


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Odeceixe Things to Do
It's Algarve, for sure, but don't expect very warm water.
Its beautiful beach is located in the western coast, which means cold waters, though not so cold as in the northern coast. The mouth of a small river gives some fun to the bath. If you want a less frequented area, you better try some other beaches in the area, north or south, with some good wild beaches very near.Related to:
- Beaches
I do love odceixe beach. It´s big, lots of clean sand where to lay down.
The beach joins the river when the tide is high.Related to:
- Eco-Tourism
- Beaches
- Hiking and Walking
Odeceixe Hotels0 Hotels in Odeceixe
Odeceixe Nightlife
This is the best part of this little village. You can chose from over 15 bars and tipical places. My favorites are "A do Pinto", "A do Toy and "A do Mário", all of them in the little central square.
If you stay in Odeceixe in a saturday night, you can not miss "O Bailarico"; its a tipical party with great food where you can see things that you belive just possibles in the XIX century.
Dress Code: You Have to go just the way you want, nathing is required in no place.
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