Sentences with phrase «area under the curve r»

Question: On the very first paper you reviewed, the area under curves are not equal.

Note the solar spectrum is scaled by a factor of a millionth in order to see them together, since the total area under the curve is about (6000/300) ^ 4 = 160,000 times larger for the hotter object.

Therefore the areas under the curves are not meaningful.

The area under each curve is the total emissions expended under that plan.

The only other association that reached statistical significance was between categories of maternal 1 - h glucose and a BMI Z score at 2 years ≥ 85th percentile (χ2 for trend = 5.32, df = 1, P = 0.017), but the overall correlation between maternal glucose during pregnancy and BMI Z score at age 2 years was weak (fasting glucose r = 0.05, P = 0.08; 1 - h glucose r = 0.04, P = 0.22; 2 - h glucose r = 0.03, P = 0.36; and area under the curve r = 0.04, P = 0.18).

Not exact matches

The area under the curve of resources over that period of time should enable this timeframe to be met, but if not this timeframe I think pretty soon thereafter.

Calculus is used to determine the area under a curve.

The integral calculus, by contrast, was developed to deal with areas («areas under curves») and, by extension, volumes.

The principal measure of efficacy is called Area Under the Curve (AUC), a measure of how well biomarkers identify true cases of disease (sensitivity) while avoiding false positives (specificity).

Here's how van Dijk puts it: «The full model has an «area under curve» — a measure of the model's predictive power — of 0.83 while the six - feature model presented here has an AUC of 0.75.

The differences were also evident by measuring the area under the curve in the graph (Fig. 4 C, inset).

Physiological responses to glucose and insulin were quantified using area under the curve (AUC), as previously described (37, 38).

Area under the curve (AUC) was calculated using the trapezoidal rule (inset), and the values corresponds to means ± SE from five animals / group.

The performance of each classifier set of metabolites was then tested by area under the receiver operator characteristic (AUROC) curve analysis.

The mean Cmax was 114 ng / ml occurring at 1 hour after dosing, and the area under the serum concentration versus time curve was 573 ng × h / ml, with a terminal phase half - life of 1.9 hours observed.

Area under the curve for insulin (AUCinsulin) was obtained using the trapezoidal rule and measured in individual mice.

(68) Ga - DOTATATE mTBRmax predicted high - risk coronary computed tomography features (receiver operating characteristics area under the curve [ROC AUC]: 0.86; 95 % CI: 0.80 to 0.92; p < 0.0001), and correlated with Framingham risk score (r = 0.53; 95 % CI: 0.32 to 0.69; p < 0.0001) and -LSB-(18) F] FDG uptake (r = 0.73; 95 % CI: 0.64 to 0.81; p < 0.0001).

E) Area under the curve for glucose (AUCglucose) was obtained using the trapezoidal rule and measured in individual mice.

The area under the curve (AUC) is a good indicator of your IR.

This data is drawn on a graph and the area under the curve measured, the larger the area, the higher the glycemic index (GI).

Values for the 24 - h integrated area under the curve (AUC) of plasma leptin, insulin, and glucose concentrations versus time were calculated above zero concentration by using the trapezoidal rule.

Blood was sampled frequently at the end of each diet phase to measure the area under the plasma concentration versus time curve (AUC) for insulin, leptin, and ghrelin.

Areas under the curve (AUC) for NEFA during period after the second meal were calculated by using the trapezoidal rule.

«Intake levels associated with the use of MSG as a food additive and natural levels of glutamic acid in foods, therefore, do not raise toxicologic concerns even at high peak levels of intake because the mechanism of toxicity appears to be related to the peak plasma level achieved rather than the area under the curve».

Moreover, neither the glucose peak time nor the incremental area under the glucose curve were significantly correlated with GERs in the study subjects (P = 0.585 and = 0.335, respectively), which suggests that inhibition of gastric motility had only a secondary effect, if any, on the SME.

The glycemic index (GI) is «defined as the area under the two hour blood glucose response curve (AUC) following the ingestion of a fixed portion of carbohydrate (usually 50 g).»

The area under the curve for LA after exercises was significantly higher in the HR trial than in the NR trial (p ≤ 0.05).

The area under the blood glucose curve is then determined for both the test and control foods.

Daily plasma glucose concentrations were 10 percent lower with the high - fiber diet than with the ADA diet (values for the area under the curve, 3743 ± 944 vs. 3365 ± 1003 mg ․ hour per deciliter [207.8 ± 52.4 vs. 186.8 ± 55.7 mmol ․ hour per liter]; P = 0.02), and plasma insulin concentrations were 12 percent lower (values for the area under the curve, 1107 ± 650 vs. 971 ± 491 μU ․ hour per milliliter [6642 ± 3900 vs. 5826 ± 2946 pmol ․ hour per liter]; P = 0.05)(Figure 1).

The high - fiber diet also lowered the area under the curve for 24 - hour plasma glucose and insulin concentrations, which were measured every two hours, by 10 percent (P = 0.02) and 12 percent (P = 0.05), respectively.

The thermic effect of food (TEF) was measured by using the trapezoidal method to measure the area under the curve (AUC) of PPMR above the baseline REE for all of the visits.

This is expected, because energy storage is the area under the stress - strain curve, and eccentric training increases muscle fascicle length.

Summary statistics (sample means and / or 4 - h incremental area under the curve (AUC)-RRB- were computed for all study outcomes.

The glycemic response (peak and area under the curve) to pulses is at least 45 % lower than that of other carbohydrate - containing foods such as cereals, grains, pasta, biscuits, and tuberous vegetables (31).

This is something I produced for my top set Year 11s to cover the new GCSE topic of gradients of curves and area under graphs.

This is the fifth lesson looking at integration and follows on from the previous lessons by looking at the trapezium rule to estimate or approximate the area under a curve.

The lesson includes: Starter - a quick question on area to get students occupied as they come in and thinking Learning Objectives - differentiated by outcome Key Notation - explanation and detail given as this is often an area of confusion Teaching slides showing the process of integrating and substituting to find an original equation and some superb graphics and slides to teach about the area under the curve.

But it's important to keep in mind that Amazon sells more than 1,500,000 ebooks a day (just integrate the area under the rank - to - sales curve to calculate that).

The areas under the curve of P wave - related parameters were moderate to low due to poor sensitivity.

Softly textured cream walls and polished stone floors are a Tuscan - inspired backdrop for a roomy sectional in the sitting area and curved - back chairs under a sparkling chandelier in the dining area.

Other methods are more tolerant of ignorance, but the results tend to be less useful (too much area under the curve).

The effect of band widenning is a reduction in net upward LW flux (this is called the radiative forcing), which is proportional to a change in area under the curve (a graph of flux over the spectrum); the contribution from band widenning is equal to the amount by which the band widens (in units ν) multiplied by - Fνup (CO2).

That number is the output of a model, computed from the area under a curve put out in the device, and an equation relating such areas to actual (accurately but not perfectly known) test concentrations.

The first was the area under the receiver operating characteristic curve [65] modified for use with a presence only test data [30].

Note that expanding the uncertainty will reduce the peak, and broaden the area under the curve, but ill not shift the position of the peak, so that the most probable anthropogenic contribution is 108 % over that interval, and the most probable greenhouse gas contribution is 138 %.

Why is the area under the curve greater than he ground temperature?

There are of course peer - reviewed articles that make the same general observation, but the point is obvious and reproducible for anybody who can compute areas under curves.

My alarmist coworker said he calculated the areas under the curves with the plot starting at the temperature anomaly needed to make it snow CO2 in the Antarctic, and he claims there's virtually no difference in any of the areas.

So, looking at the area under the curve of the temperature profile for a single day, it's greater with more GHG.

(The budget is the area under the curve.)