Sentences with word «weat»

debuchy will be sold next summer to make way for jenkinson, the loan at weat ham have done him the world of good, and he looks more suited to fight bellerin in the long term.
Born To Sell's covered call screener gives you customized search capabilities across all possible covered calls but here are a couple of examples for WEAT (prices last updated Fri 4:16 PM ET):
The whole weat pasta will provide you with a good amount of complex carbs, while avocado, one of the most valuable foods that nature has given us, brings easily digested healthy fats, soluble fiber, folic acid and plenty of vitamins to the table.
A cute boy weating camo gear took out first prize and the eldest was completely horrified when I started raving about what beautiful, talented children they would have if they should happen to fall in lurve.
I do love them, and often weat them instead of my contacts because I feel so good in them.
Aswell as TLI, CAT, SIGG etc I have been looking at WEAT and other grain ETFs but come across the same concerns you have about contango.
Also, make sure you're getting carbs in the forms of whole weat, oatmeal, and fruits and vegetables into your diet, as they contain many of the essential vitamins and minerals your body needs for growth.
Such gorgeous photos — I love the pajamas you are weating!
One simple way to jazz up any outfit is to weat a hat!
This AWD - equipped vehicle will handle beautifully on any terrain and in any weat...
Go where the weat... Read More
There is a lovely outdoor living area where breakfast and dinner can be served, weat...
Re # 68 and # 72 — Herschel found a correlation with the weat prices and sunspot number — The Atlantic AMO correlates resonably well for example with the North American temperature (1940ies almost as warm as 1990) For a further random example Goosse, H., M. M. Holland, 2005 J. Climate, 18, 3552 — 3570 model the effect of various parameters on the Artic and ``..
Researchers at Stanford University employed a word - embedding association test (WEAT) to analyze computer embedding of words, and revealed biases around gender, race, ethnicity, and many other grounds.
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