Sentences with phrase «make precise predictions»

I don't want to make any precise predictions about the future, but if things just stay on the same trajectory as 2013 then we can look forward to lots more great indie games.

Using other lensed galaxies within the cluster and combining them with the discovery of the Einstein Cross event in 2014, astronomers were able to make precise predictions for the reappearance of the supernova.

It's effective because it removes the need to make precise predictions about the future.

In this world, it is difficult to make precise predictions about where the jobs and growth in our economy are going to come from in the future.

«Borussia Dortmund will not be able to make a precise prediction about his possible downtime and we wish our «cup winner» a speedy recovery.»

The method makes precise predictions that are consistent with other methods, but with the advantages of being able to explore many more parameters while costing practically no time.

The method makes precise predictions that are consistent with other method... ▽ More With the advent of dedicated photometric space missions, the ability to rapidly process huge catalogues of stars has become paramount.

However, EMH theorists counter that while EMH makes a precise prediction about a market based upon the data, BF usually does not go beyond saying that EMH is wrong.

According to Yonhap News, a «high - ranking Samsung official» recently mentioned that the company «failed to make a precise prediction of demand» for the curved smartphone, that's why supply shortages may continue for more than a month.

Not exact matches

They've made a myriad of predictions, one of which is that in about thirty years, 2049 to be precise, a robot will have written a New York Times bestseller.

Asserting that we do not yet have either the facts or the methods to make forecasting a precise art, Michael argues that there are three basic reasons for continuing to make or act upon them: (1) some forecasts are likely to be close to the mark, (2) poor forecasts provide a better basis for planning than no prediction at all, and (3) well - done forecasts help to illuminate the many factors that interact to produce the future.

We do not know if the universe is or is not designed, but we do know that the best way to understand the «design» of the universe is to study it unbiasedly and make the most accurate models that fit reality in the most precise ways that cause the best predictions — in a word, science.

The objective of these models would not be to provide a precise forecast of the future (an impossible task), but rather to capture enough of the behavior of the educational system to make useful qualitative predictions.

These predictions, made using powerful computers, were verified using highly precise measurements taken using an extremely sensitive technique called «cavity - ring down spectroscopy».

To make the predictions as precise as possible takes understanding the ecology not just of the place being studied, but also of the disease and the human population.

«Our strategy can be expected to improve therapeutic chances substantially in the future, because this route makes it possible for us to make very precise predictions for the custom - tailored treatment of patients,» says Professor Scheffler.

This supported the claim that has stood since 2005 — that readers can make such precise predictions as the first sound of upcoming words.

While quantum chemical calculations in principle enable extremely precise prediction of infrared spectra, their applicability in practice is made difficult by the high computational effort associated with them.

By making increasingly precise measurements of all the predictions of the standard model, researchers hope eventually to find cracks that lead the way to a larger theory to supersede it.

Adding to this positive picture as suggested earlier, the growth in the number of data sources will increase as technology advances making the profiling of customers and competitors all the more precise to the point where predictions about future habits of such groups gain in accuracy making decision making more effective.

As such, he is able to make more precise predictions than we can with the Stock Returns Predictor, but only as a result of making more assumptions.

Decades of detailed observations allow geologists to make fairly precise predictions about Mount St. Helens: a specific pattern of earthquakes, for example, means that new lava will erupt within two weeks.

That prediction a year ago was always pretty silly, at least if it was meant to be precise and made with high confidence.

Hansen actually made some more precise predictions on various emissions scenarios and what the resulting temperature changes would be.

I love it when pro-government alarmists make precise, specific predictions and threats about what will happen if government doesn't get more power over us.

Yes, I understand that it is difficult to determine precise accuracy values to the factors that are used to make up a climate prediction even an estimate would be nice.

One can try to model them by making lots of assumptions, but other than a blurred picture, precise predictions are impossible.

To point out just a couple of things: — oceans warming slower (or cooling slower) than lands on long - time trends is absolutely normal, because water is more difficult both to warm or to cool (I mean, we require both a bigger heat flow and more time); at the contrary, I see as a non-sense theory (made by some serrist, but don't know who) that oceans are storing up heat, and that suddenly they will release such heat as a positive feedback: or the water warms than no heat can be considered ad «stored» (we have no phase change inside oceans, so no latent heat) or oceans begin to release heat but in the same time they have to cool (because they are losing heat); so, I don't feel strange that in last years land temperatures for some series (NCDC and GISS) can be heating up while oceans are slightly cooling, but I feel strange that they are heating up so much to reverse global trend from slightly negative / stable to slightly positive; but, in the end, all this is not an evidence that lands» warming is led by UHI (but, this effect, I would not exclude it from having a small part in temperature trends for some regional area, but just small); both because, as writtend, it is normal to have waters warming slower than lands, and because lands» temperatures are often measured in a not so precise way (despite they continue to give us a global uncertainity in TT values which is barely the instrumental's one)-- but, to point out, HadCRU and MSU of last years (I mean always 2002 - 2006) follow much better waters» temperatures trend; — metropolis and larger cities temperature trends actually show an increase in UHI effect, but I think the sites are few, and the covered area is very small worldwide, so the global effect is very poor (but it still can be sensible for regional effects); but I would not run out a small warming trend for airport measurements due mainly to three things: increasing jet planes traffic, enlarging airports (then more buildings and more asphalt — if you follow motor sports, or simply live in a town / city, you will know how easy they get very warmer than air during day, and how much it can slow night - time cooling) and overall having airports nearer to cities (if not becoming an area inside the city after some decade of hurban growth, e.g. Milan - Linate); — I found no point about UHI in towns and villages; you will tell me they are not large cities; but, in comparison with 20-40-60 years ago when they were «countryside», many small towns and villages have become part of larger hurban areas (at least in Europe and Asia) so examining just larger cities would not be enough in my opinion to get a full view of UHI effect (still remembering that it has a small global effect: we can say many matters are due to UHI instead of GW, maybe even that a small part of measured GW is due to UHI, and that GW measurements are not so precise to make us able to make good analisyses and predictions, but not that GW is due to UHI).

Precise predictions of hurricane tracks and intensity; heavy rain; severe storms; fire weather; air quality and chemistry, and climate change address societal challenges that include disaster mitigation, economic decision making, health concerns, travel and workplace safety, long range planning, and day to day decisions (an umbrella or a heavy coat, for example).

Short - term cyclical factors (ENSO, solar variability, etc.), noisy annual variation, and unpredictable factors like the precise amount of sulfates we're going to emit or whether we're going to have any large volcanic eruptions make predictions over very short time periods (like a decade) next to worthless.

We can even have knowledge of what has been falsified, because the discarded theory must have been precise enough to make a valid prediction.