Sentences with phrase «if average scale»

Not exact matches

Applying the lower of these two weighted - average calculations (24 percentage points) to Canada's existing automotive manufacturing footprint (and assuming that the dislocation for Canada's industry is only proportional to the overall North American shrinkage, an assumption which is probably optimistic), allows us to generate an estimate of the potential scale of economic loss if the U.S. - Japan rules were implemented.

If one doesn't believe in the big bang, then not only is there no reason to suspect that the CMB exists, or that it is polarised, but certainly not that the way the polarisation averages on particular angular scales should look like that.»

If we take the average position of the general population on a scale ranging from (0) European Unification has gone too far, to (10) European Unification has not gone far enough, we find that the average position of the electorate is closest to the Conservative Party (measured by where survey respondents think the major parties» policies are on the same scale).

But the two do not scale linearly — if a population grows to 10 times its original size, the number of centers is multiplied by five, on average.

For example, 2005 is near solar minimum in the 11 year cycle, and radiance now is about 1 - 2 W / m ^ 2 less than a few years ago, which means Pluto and Mars are getting LESS solar radiance on the time scale of the atmosphere and polar cap changes, EVEN IF the radiance averaged over the whole cycle was higher.

The geometric homeostasis of mature epithelia observed at short enough time - scale thus raises the problem to understand how cells, if considered as noisy individual actuators, do adapt across individual intercellular contacts to locally balance their time - average contractile stress.

If you're an Average Joe on the Scale of Gritness, following this diet plan every other day, or a couple days a week won't give you the results that you want.

On the other side, stopping of the autoimmune attack can be done, but is it 100 % possible for everyone and if it is, what is the average time frame scale to do that — months or years?

The greatest improvements should be seen among schools that had already received one F grade from the state, since their students would become eligible for vouchers if they received a second F. To test this hypothesis, average FCAT scale - score improvements for schools were broken out by the grade they received the year before.

If the lowest performers at the school improve by a few points, that will raise the average scale score.

If the Department believes percent proficient is also important for reporting purposes, these values could be reported alongside the average scale scores.

For instance, the change in MAP - R or MAP - M scores for a student at the beginning of the second and third grades could be compared to that student's school peers (equivalent to your average scale score comparison if I understand correctly), district peers, and national peers to evaluate the rate of academic growth.

Furthermore, as I read this requirement, states can, in fact, get their performance indices very close to average scale scores if they simply create many score categories.

Put differently, if we could put Detroit charters on a national scale, they would likely be well below average.

So, if third graders in a particular building averaged a scale score of 320 in grade 3 math last year and averaged a scale score of 330 in grade 3 math this year, the building may safely be said to have improved year - over-year in grade 3 math performance.

If we note that students increased their scores by an average of 20 words correct per minute per year (see Table 7) and that school scores on the collaborative leadership scale ranged from 1.1 to 1.9 with a mean of 1.7 (out of a high score of 3), then we can surmise that, at least in principle, a school gaining one additional point on the collaborative leadership scale could make up a year's worth of fluency performance.

If a Likert scale questionnaire is used to give teachers more specific examples of knowledge and skills essential to each domain, teachers can easily average their scores across the domain to come up with a single number to plot in the diagram.

I realize that a few folks posting here believe that these actions might make FICO scores somewhat useless in another year... but if I were the suspicious type, I'd be betting that a reduction in average FICO scores for Americans on a massive scale — the scale that can be created by reducing credit limits suddenly on many millions of card holders — is something that the Credit Industry is betting will become its * salvation * in a few more years, aside from simply «reducing their exposure to risk» today.

The value advantage may or may not continue in the future, and even if it does continue it is impossible to know whether the scale of the outperformance will remain similar to its historical average.

Very small pictures, if painted by gifted artists and installed in an adequate version of what Dave Hickey once dubbed a «clean, well - lighted place,» can produce exhibitions just as ambitious and adventurous as larger - scale projects... these canvases address significant issues related to their respective genres while averaging little more than a square foot apiece.»

... Polar amplification explains in part why Greenland Ice Sheet and the West Antarctic Ice Sheet appear to be highly sensitive to relatively small increases in CO2 concentration and global mean temperature... Polar amplification occurs if the magnitude of zonally averaged surface temperature change at high latitudes exceeds the globally averaged temperature change, in response to climate forcings and on time scales greater than the annual cycle.

[Response: Here's a simple back - of - envelope consideration for the future: if the Greenland ice sheet melts completely over the next ~ 1,000 years (Jim Hansen argues in the current Climatic Change that the time scale could be centuries), this would contribute an average flux of ~ 0.1 Sv of freshwater to the surrounding ocean.

Action on climate change needs to be scaled up and accelerated without delay if the world is to have a running chance of keeping a global average temperature rise below 2 degrees Celsius this century.

If Brazil were a country of middle development in a scale that Americans would balance Indians and China, as average obesity is 10 times more important than starvation.

(Orbital forcing doesn't have much of a global annual average forcing, and it's even concievable that the sensitivity to orbital forcing as measured in terms of global averages and the long - term response (temporal scale of ice sheet response) might be approaching infinity or even be negative (if more sunlight is directed onto an ice sheet, the global average albedo might increase, but the ice sheet would be more likely to decay, with a global average albedo feedback that causes warming).

C is not constant for the dT» / dt equation to apply because heat penetrates through different parts of the climate system (different depths of the ocean in particular) over different time scales (also, if T» is supposed to be at some reference location or the global average at some vertical level, T» at other locations will vary; C will have to be an effective C value, the heat per unit change in the T» at the location (s) where T» occurs)

If you use the Kelvin scale, there will not be much difference in the result averaged any which way and b. an arithmetic average has a simple justification based on thermodynamics.

The time average makes sense only if you are sure to have caught all variability time - scale in the average (i.e., that they are all smaller than 30 years, say)-- I've never seen clearly where this assumption comes from, apart from computer simulations, which are NOT reliable for this kind of physics.

Yes, there was work for geoscientists in diversified areas before «global warming» became known to average people and they would have gone into any number of subjects as a graduate student if human induced changes in greenhouse turned out (after calculation and experiment) to be unimportant at a global scale.

If (1) you have a few hockey stick shaped series in a smallish data set which otherwise is cancelling noise, and (2) then re-scale your average to a temperature scale in the calibration period, you can get hockey stick shaped «reconstructions».

If ∆ T = λ ∆ Q is a reasonable approximation of the (large - scale) effects of forcing on globally averaged temperature, why does it matter if a few clouds are banging around locally on a given daIf ∆ T = λ ∆ Q is a reasonable approximation of the (large - scale) effects of forcing on globally averaged temperature, why does it matter if a few clouds are banging around locally on a given daif a few clouds are banging around locally on a given day?

If you average so as to eliminate millennial - scale variation, I suppose you get that trend.

Robert Brown: «what you are effectively saying is that when computed for the gas at some scale height is no longer even approximately smooth on the scale of parcel volumes computing averages as if it is continuous becomes problematic.

Values are also averaged over successive four - month periods, to enable variations on upwards of the seasonal time scale to be seen more clearly than if monthly values had been plotted.

If you make the parcels of gas small enough, then you reach a scale where «temperature» as an average measure of energy breaks down, where the tiny parcels of gas are constantly «heating» or «cooling» a tiny bit in the sense that the volume in question gains or loses a bit of energy during the random motion of the molecules.

So if you want to understand the average behavior of that system you need to sample at a much larger spatial scale over larger time intervals than was previously appreciated.

Now you seem to be saying that, if that's wrong, it's still true on some larger averaged scale.

Double the scale and the noise power reduces by a factor proportional to the Hurst exponent; if H = 0.5 (white noise), the noise power reduces by one half, if H = 1, the noise power does not reduce at all (i.e. scale averaging does not help).

Even if we introduce spatial averaging to reduce the error, spatial averaging sits on top of the time averaging, and the minimum error for time averaging is at the monthly scale.

This means that even if spatial averaging were to reduce the error further, the best predictability would still occur for the global behaviour at the monthly scale.

If a chemist was measuring the mass of samples and realized that they had been placing their thumb on the scale for some samples, they would not keep those measurements and try to «adjust them» by guestimating how much pressure their thumb was applying to the scale on average and then applying a correction factor to all their measurements.

• No adaptive responses to coral bleaching, even on a regional scale, will be available if average global temperature increases 2 °C by 2050.

Last annual average shown is 2015; if the first few months of 2016 are a guide, the vertical scale might have to be adapted for 2016.

The natural causes of climate variations that have time scales (century, decadal; e.g. Schwabe sunspot cycles, average solar output during the satellite measuring era,, ENSO / PDO / AMO and the rest of the alphabet soup of «oscillations», volcanism) either don't capture energy over multiple cycles — if I push a child on a swing, his average position doesn't move away from me — or are going in the wrong direction.

The link you include is about zooplankton... But if it is not a typo — then it depends on the time scale — if you are talking annual average productivity then high lats are quite productive.

Using data from corn ethanol plant technologies and smaller - scale switchgrass conversion studies, Vogel estimated that an average of 60 GJ per hectare could be obtained if the switchgrass were converted into bioethanol.

If you will attempt to justify the partitioning by invoking a difference in time scales, it will be still goofy because the system is strongly turbulent, and turbulent systems have CONTINUOUS spectrum of time «wiggles», and there is no considerable time interval where you can «draw a line» and separate «statistical averaging» from «large scale dynamics».

Even if we were to scale back a little, matching the recent average growth rate of 1.92 ppm / year, that puts us at 450 ppm around the year 2042 — 450 ppm signifying the likely point of no return, when the climate will trigger anywhere from 2 - 5 degrees centigrade bump in global temperatures.

If you're worried about gender disparity and things like that, I definitely suggest pulling some data from your area based on what is the average salary that somebody in this position is making or what's the hourly wage rate, and that will help give you some guidance on am I in the ballpark, am I out of the ballpark, and then from there if you have a sliding scale, if you're starting at $ 50,000 and they could potentially earn up to $ 62,000, what does that scale look like, what are the qualifications that will have them making $ 50,000 versus $ 62,000 and just being really super clear like education if they have a Masters Degree versus a 4 - year degree, or they have a PhD versus a Masters Degree, how does that impact paIf you're worried about gender disparity and things like that, I definitely suggest pulling some data from your area based on what is the average salary that somebody in this position is making or what's the hourly wage rate, and that will help give you some guidance on am I in the ballpark, am I out of the ballpark, and then from there if you have a sliding scale, if you're starting at $ 50,000 and they could potentially earn up to $ 62,000, what does that scale look like, what are the qualifications that will have them making $ 50,000 versus $ 62,000 and just being really super clear like education if they have a Masters Degree versus a 4 - year degree, or they have a PhD versus a Masters Degree, how does that impact paif you have a sliding scale, if you're starting at $ 50,000 and they could potentially earn up to $ 62,000, what does that scale look like, what are the qualifications that will have them making $ 50,000 versus $ 62,000 and just being really super clear like education if they have a Masters Degree versus a 4 - year degree, or they have a PhD versus a Masters Degree, how does that impact paif you're starting at $ 50,000 and they could potentially earn up to $ 62,000, what does that scale look like, what are the qualifications that will have them making $ 50,000 versus $ 62,000 and just being really super clear like education if they have a Masters Degree versus a 4 - year degree, or they have a PhD versus a Masters Degree, how does that impact paif they have a Masters Degree versus a 4 - year degree, or they have a PhD versus a Masters Degree, how does that impact pay.

Tailgating surcharges average 13 %, for example, but some insurers might scale that back a bit each year if you don't have new tickets.