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We've thought for some time that supernova explosions can give a kick to the resulting neutron star, but the latest computer models of this process have not produced speeds anywhere near what we see in this object. This means that the models need to be checked, and possibly corrected, to account for our observations.

Shami Chatterjee

We've thought for some time that supernova explosions can give a kick to the resulting neutron star, but the latest computer models of this process have not produced speeds anywhere near what we see in this object. This means that the models need to be checked, and possibly corrected, to account for our observations.

Shami Chatterjee

We know that supernova explosions can give a kick to the resulting neutron star, but the tremendous speed of this object pushes the limits of our current understanding. This discovery is very difficult for the latest models of supernova core collapse to explain.

Shami Chatterjee

We believe that the matter in neutron stars is denser than an atomic nucleus, but it is unclear by how much. Our observations of such a rapidly rotating star set a hard upper limit on its size, and hence on how dense the star can be..

These findings call into question predictions of the future of Greenland in a warmer climate from computer models that do not include variations in glacier flow as a component of change. Actual changes will likely be much larger than predicted by these models.

Computer models are like a model car: Sometimes they're perfect and work well, but some models don't get it right. Forecasting is both an art and a science, just like medicine isn't an exact science.

The computer models might do pretty well at global means, but when it comes down to details, there's lots of things that are there to deal with.

Changing models is hard. Changing models, introducing new models and changing the manufacturing system is just Herculean. Our goal now is to mature our processes and get them stable. We will meet our production requirements for this year.

Models work when they are appropriate for the particular circumstance, but some of the best investment judgments over time have come when people recognized that models derived in other periods were broken or not directly relevant.

Abby Joseph Cohen

Investeringar

Increasing demand for robust data communications applications -- especially mobile email and instant messaging -- will play a role, particularly as 3G speeds improve the appeal of mobile data services. With increasing sales volumes, prices are falling fast, while the choice of models on offer is growing rapidly (39 percent more models were available in 2005 than in 2004).

These models are millions of lines of computer codes and they've been tweaking these models for the past ten years or so. With each tweak they like to try to get a half percent or one percent reduction in error. So the ingestion of this new data has made a very significant improvement in reduction of error.

Pex Tufvesson developed the music program Noisetracker.

I don't think we should wait for a group of enthusiastic parents to come to us next time we want to create one of those models. I would like to see us collectively identify other models that will work for kids and place them in our other comprehensive high schools.

Heather Bennett

Most earlier estimates of neutron-star speeds depended on educated guesses about their distances. With this one, we have a precise, direct measurement of the distance, so we can measure the speed directly.

One of the hallmarks of our approach is the vigorous feedback between our computer models and our laboratory work. The computer simulations help us perform better experiments, and the laboratory tests help us design better simulation, and the overall combination saves time and money.

Andreas Lüttge

This move no doubt responds to a relative lack of commercially available credit models in the market, and the strong need for more advances in this space. Banks need proven credit models backed by experience and strong data sets, both to use as primary sources of default prediction and to benchmark their own internally-developed models against. This is now a key strategic advantage, and banks that do not use state of the art credit models will find themselves at a distinct disadvantage, both from a pricing and origination perspective, and a portfolio profitability perspective.

Debbie Williams

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