R/W

(redirected from Raw Weight)
AcronymDefinition
R/WRight-Of-Way
R/WRead/Write
R/WReinforced With
R/WRotary Wing (aviation)
R/WRandom Width
R/WReimbursable Work
R/WRaw Weight
References in periodicals archive ?
Third, we utilize TBT algorithm to transform a raw weighted dataset into an indicated dataset; that is, a weight value is equal to 1 or 0, by adopting a weight threshold, to satisfy specific real need and decrease query sensitivity.
LUNCH Jacket Potato with Cheesy Coleslaw (7 ProPoints) Bake a 200g (raw weight) potato LUNCH Jacket Potato with Cheesy Coleslaw (7 ProPoints) Bake a 200g (raw weight) potato and top with cheesy coleslaw made from grated carrot, onion, sliced cabbage, 1 tbsp (45g) reduced fat mayonnaisetop with cheesy coleslaw made from grated carrot, onion, sliced cabbage, 1 tbsp (45g) reduced fat mayonnaise and 30g grated half fat cheddar.
Meanwhile, put the petit pois in a medium sized saucepan DINNER Leek, Pea and Mint Risotto (8 ProPoints per serving) Serves 4 Ingredients: Calorie controlled cooking spray; 2 large leeks, sliced; 300g frozen petit pois; 850g hot vegetable stock; 10g fresh LUNCH Jacket Potato with Cheesy Coleslaw (7 ProPoints) Bake a 200g (raw weight) potato a ladleful at a time, stirring constantly.
On average, when considering day and night validation, the missed fix + > 100 m error-weighted map contained 88.9% of validation locations within the highest probability of use bin, followed by the missed fix + > 20 m error-weighted map (86.6%) and the naive map (82.5%); the raw weight map, based only on weighting of probability of acquisition, validated poorly (67.3%; see Table 4).
All are in 4 kilo cases and the weights are declared after cooking--not the (higher) raw weight.
Because these organs are so nutrient-dense, use the raw weight to determine the amount to feed.
One unit is equal to 100g raw weight of any protein food.
200g (7oz) jacket potato, raw weight 50g (2oz) frozen prawns, defrosted
The weighted average or importance weight for each objective was determined by the following process: raw weight scores for each group (ultimate objectives or objectives' attributes) were summed, then each objective or attribute score was divided by that sum.