green red and blue Trunk Small leather handbag Multicolour Marni 4IYMYRz

green, red and blue Trunk Small leather handbag - Multicolour Marni
green, red and blue Trunk Small leather handbag - Multicolour Marni
Former software division of Hewlett Packard Enterprise is now part of Micro Focus
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Serving Size 2 Pizza Buns (76g)
Servings per Container 3
*Percent Daily Values are based on a 2,000 calorie diet. Your daily values may be higher or lower depending on your calorie needs.
Bleached Enriched Flour (Flour, Niacin, Reduced Iron, Thiamine Mononitrate, Riboflavin, Folic Acid, Ascorbic Acid [Dough Conditioner]), Water, Spinach, Vegetable Oil Shortening (Palm Oil, Canola Oil, Modified Palm Oil), Low-Moisture Part-Skim Mozzarella Cheese (Part-Skim Milk, Cheese Culture, Salt, Enzymes), Parmesan, Romano and Asiago Cheese Blend (Cultured Part-Skim Cow's Milk, Salt, Enzymes), Cream Cheese (Cultured Milk and Cream, Salt, Carob Bean Gum), Low Fat Ricotta Cheese (Pasteurized Whey, Pasteurized Milk, Pasteurized Cream, Vinegar, Carrageenan, Xanthan Gum), Artichokes (Artichokes, Citric Acid, Ascorbic Acid), 2% or Less of Sugar, Nonfat Milk, Modified Cornstarch, Onions, Yeast, Salt, Spices, Soybean Oil, Baking Powder (Corn Starch, Sodium Bicarbonate, Monocalcium Phosphate, Calcium Phosphate, Calcium Sulphate), Egg, Garlic, Methylcellulose, Lemon Juice Concentrate.
Baking Directions PIZZA BUNS MUST BE COOKED THOROUGHLY TO 160 FOR FOOD SAFETY QUALITY. DO NOT ALLOW PIZZA BUNS TO THAW. DO NOT EAT PIZZA BUNS WITHOUT COOKING. OVENS MAY VARY SO ADJUST BAKING TIME TEMPERATURE AS NEEDED. Microwave Oven (1100 W) 1. PLACE Remove Pizza Buns from carton and plastic overwrap. Place product on microwave safe plate. 2. MICROWAVE Cook 2 Pizza Buns for 1 minute. Cook 4-6 Pizza Buns for 2 minutes 15 seconds - place on microwave safe plate in circular pattern. PRODUCT WILL BE HOT! Let stand 2 minutes before eating. DIRECTIONS DEVELOPED USING 1100 WATT MICROWAVE OVEN. COOKING TIME MAY NEED ADJUSTED BASED ON OVEN WATTAGE. Toaster Oven/Conventional Oven (Recommended for crispier crust) 1. PREHEAT Set toaster oven/conventional oven to bake and preheat to 375 F. Remove Pizza Buns from carton and plastic overwrap. 2. PLACE Place on non-stick baking sheet. Place baking sheet on baking rack (toaster oven) or center rack (conventional oven). 3. BAKE Cook 2 Pizza Buns for 15 minutes. Cook 4-6 Pizza Buns for 18 minutes. PIZZA BUNS MUST BE ON BAKING RACK (TOASTER OVEN) OR CENTER RACK (CONVENTIONAL OVEN) FOR PROPER COOKING. PRODUCT WILL BE HOT! Let stand 2 minutes before eating.


1–7 of 7 Reviews
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· a year ago


I was so excited to try these, it's one of my favorite flavor combinations. But the bread was blah and the filling tasted like the way the goat barn smells at the fairgrounds. I'm not even kidding, I had to throw them out. :(

· a year ago

We appreciate your feedback. We understand everyone's tastes differ so we'll share this with our team. Please expect an email from us soon.

· a year ago


Bought this last night and it was super duper delicious. I like that it didn't get soggy since directions were for 1 minute in the micro :)!

· 6 months ago


Was looking forward to trying these. Served them on Christmas Eve but thought they were too doughy. Not enough filling.

· a year ago

No fun with the buns.

Very disappointed with artichoke pizza buns. Did them in the oven, dough did not rise. They were not good.!

· a year ago

We're sorry to hear that you didn't enjoy our Pizza Buns as our cooking instructions are for optimal quality. Please expect an email from us.

· 3 months ago

Too much bun, not enough flavor

Wanted to love these but they really don't have much cheese, spinach, or artichoke flavor. Disappointing.

· 2 months ago

We're sorry to hear that you didn't enjoy our Pizza Buns. Please expect an email from us.

· 5 months ago


Thanks for the spinach buns instead of just pizza. So yummy and a nice size so as not to over eat.

· 9 months ago

Love these Buns!

Love these! Tastes so good! Love this flavor combination!





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1644 South Waccamaw Drive
Property Type: Bedrooms: Bathrooms: Sleeps:

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This property allows "Mini-Vacation" rentals of less than a week on a last-minute and seasonal basis. Availability may vary, so call our vacation coordinators at 1-888-739-2017 for more information.

2.4 miles south of the Garden City Pier


King: 1 | Queen: 4 | Double: 0 | Single: 0 | Sofa: 1

Bed Counts:

Bathroom updates coming fall 2018!

5 Bedrooms: 4 up and 1 down (no inside stairway to downstairs bedroom)

4 Baths: 3 up and 1 down (no inside stairway to downstairs bath)

Beds: 1 king,3 queens, 1 sofabed up; 1 queen down

Outside entrance to downstairs bedroom and bath. Wall A/C and heating unit downstairs. Covered porches. Paved and covered parking. No smoking allowed. Dog friendly - Fee Waiver Required for all reservations that include a dog. Private pool approximate dimensions25 x 15.Sunroom. WIFI.

Properties are equipped with pillows, bedspreads, mattress pads and some blankets. In addition, our Beach Bundle complete linen package is included on all reservations, but is optional and may be declined should you elect to bring your own linens. Alternatively, bed and bath linens may be rented individually, and our Linen Rental page has more information. Damaged, lost or stolen items are the responsibility of the renter. Changes or cancellations require a 48-hour notice, and we ask that you place your order at least three weeks prior to your arrival to ensure proper delivery.

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But Song says this will change as industrial robots become smaller and more affordable. “Just a few years ago it was unusual to see a small or midsize factory using robots,” he says. “Now I see it more and more often as I travel around meeting with factory owners.” Song was born in the much poorer province of Jiangxi, just north of Fujian and Guangdong, where he worked for years doing unskilled factory labor. He made shoes, toys, and eventually auto parts. “I’m lucky I left when I did,” he says. “Every time I visit, I meet another friend who lost his job to a robot.”

This trend was confirmed by Hong Tao, director of operations at the Beijing office of Pinkerton Consulting Investigations Inc. Hong says that when he joined the China wing of the world’s oldest international detective agency in 2001, the company mostly concerned itself with busting counterfeiters, investigating fraud and embezzlement, and providing security for foreign executives, with the odd kidnapping case mixed in. Then, around 2012, U.S. companies that once wanted his help opening factories began asking for help closing them down.

“When one of our clients closes a factory in China, it’s my job to prevent any violence or unrest by negotiating a severance package that the workers and the company can both live with,” Hong says over tea at Pinkerton’s Beijing office. This has become a growth industry for Pinkerton, as wages continue to rise and foreign manufacturers continue to flee. About one-third of the dozens of companies Hong has helped move their factories to Thailand or Vietnam, where labor is cheaper. “The rest of them,” he says, “are replacing Chinese peasants with Japanese robots.”

Fanuc robots simulate car production at the Automatica trade fair in Munich, 2016.
Photographer: Tobias Hase/DPA/APPhoto

Toward the end of 2015, Fanuc joined a handful of other Japanese companies to invest a combined $20 million in Preferred Networks Inc. , an artificial intelligence startup with 60 employees. The modest funding masked a hugely ambitious goal: becoming as dominant in manufacturing AI as Amazon and Google Inc. are in their fields, which Preferred Networks planned to do by partnering with Japanese manufacturers that generate immense troves of data.

The company’s co-founder and CEO, Toru Nishikawa, told the Financial Times that while visiting Fanuc’s factory, he’d noticed the absence of AI technology. He saw a chance to apply deep-learning techniques to data culled from Fanuc’s army of manufacturing robots throughout the world so they can improve their own capabilities. When robots make other robots ceaselessly, without human intervention, he said, “data can be collected infinitely.”

The result of Nishikawa’s insight was the Fanuc Intelligent Edge Link and Drive, or Field. The system, introduced in 2016, is an open, cloud-based platform that allows Fanuc to collect global manufacturing data in real time on a previously unimaginable scale and funnel it to self-teaching robots. According to Fanuc, Field has already yielded advancements for tasks such as robotic bin-picking. Previously, the selection of a single part from a bin full of similar parts arranged in random orientations required skilled programmers to “teach” the robots how to perform the task. Now, Fanuc’s robots are teaching themselves. “After 1,000 attempts, the robot has a success rate of 60%,” a company release said. “After 5,000 attempts it can already pick up 90% of all parts—without a single line of program code having to be written.”

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