Sentences with phrase «into prediction models»

«Integrating multi-scale phenotypic information into prediction models for genotype by environment interaction by a synthesis of statistical - genetic and physiological models»

Fourches and Jeremy Ash, a graduate student in bioinformatics, decided to incorporate the results of molecular dynamics calculations — all - atom simulations of how a particular compound moves in the binding pocket of a protein — into prediction models based on machine learning.

Not exact matches

This calls into question the reliability of industry asset allocation and diversification strategies and the prediction capability of conventional portfolio risk modelling techniques.

Any carbon dioxide emissions that may contribute to global warming — and recent climate modelling puts earlier scary predictions into question — have plateaued.

Time for some brutal honesty... this team, as it stands, is in no better position to compete next season than they were 12 months ago, minus the fact that some fans have been easily snowed by the acquisition of Lacazette, the free transfer LB and the release of Sanogo... if you look at the facts carefully you will see a team that still has far more questions than answers... to better show what I mean by this statement I will briefly discuss the current state of affairs on a position - by - position basis... in goal we have 4 potential candidates, but in reality we have only 1 option with any real future and somehow he's the only one we have actively tried to get rid of for years because he and his father were a little too involved on social media and he got caught smoking (funny how people still defend Wiltshire under the same and far worse circumstances)... you would think we would want to keep any goaltender that Juventus had interest in, as they seem to have a pretty good history when it comes to that position... as far as the defenders on our current roster there are only a few individuals whom have the skill and / or youth worthy of our time and / or investment, as such we should get rid of anyone who doesn't meet those simple requirements, which means we should get rid of DeBouchy, Gibbs, Gabriel, Mertz and loan out Chambers to see if last seasons foray with Middlesborough was an anomaly or a prediction of things to come... some fans have lamented wildly about the return of Mertz to the starting lineup due to his FA Cup performance but these sort of pie in the sky meanderings are indicative of what's wrong with this club and it's wishy - washy fan - base... in addition to these moves the club should aggressively pursue the acquisition of dominant and mobile CB to stabilize an all too fragile defensive group that has self - destructed on numerous occasions over the past 5 seasons... moving forward and building on our need to re-establish our once dominant presence throughout the middle of the park we need to target a CDM then do whatever it takes to get that player into the fold without any of the usual nickel and diming we have become famous for (this kind of ruthless haggling has cost us numerous special players and certainly can't help make the player in question feel good about the way their future potential employer feels about them)... in order for us to become dominant again we need to be strong up the middle again from Goalkeeper to CB to DM to ACM to striker, like we did in our most glorious years before and during Wenger's reign... with this in mind, if we want Ozil to be that dominant attacking midfielder we can't keep leaving him exposed to constant ridicule about his lack of defensive prowess and provide him with the proper players in the final third... he was never a good defensive player in Real or with the German National squad and they certainly didn't suffer as a result of his presence on the pitch... as for the rest of the midfield the blame falls squarely in the hands of Wenger and Gazidis, the fact that Ramsey, Ox, Sanchez and even Ozil were allowed to regularly start when none of the aforementioned had more than a year left under contract is criminal for a club of this size and financial might... the fact that we could find money for Walcott and Xhaka, who weren't even guaranteed starters, means that our whole business model needs a complete overhaul... for me it's time to get rid of some serious deadweight, even if it means selling them below what you believe their market value is just to simply right this ship and change the stagnant culture that currently exists... this means saying goodbye to Wiltshire, Elneny, Carzola, Walcott and Ramsey... everyone, minus Elneny, have spent just as much time on the training table as on the field of play, which would be manageable if they weren't so inconsistent from a performance standpoint (excluding Carzola, who is like the recent version of Rosicky — too bad, both will be deeply missed)... in their places we need to bring in some proven performers with no history of injuries... up front, although I do like the possibilities that a player like Lacazette presents, the fact that we had to wait so many years to acquire some true quality at the striker position falls once again squarely at the feet of Wenger... this issue highlights the ultimate scam being perpetrated by this club since the arrival of Kroenke: pretend your a small market club when it comes to making purchases but milk your fans like a big market club when it comes to ticket prices and merchandising... I believe the reason why Wenger hasn't pursued someone of Henry's quality, minus a fairly inexpensive RVP, was that he knew that they would demand players of a similar ilk to be brought on board and that wasn't possible when the business model was that of a «selling» club... does it really make sense that we could only make a cheeky bid for Suarez, or that we couldn't get Higuain over the line when he was being offered up for half the price he eventually went to Juve for, or that we've only paid any interest to strikers who were clearly not going to press their current teams to let them go to Arsenal like Benzema or Cavani... just part of the facade that finally came crashing down when Sanchez finally called their bluff... the fact remains that no one wants to win more than Sanchez, including Wenger, and although I don't agree with everything that he has done off the field, I would much rather have Alexis front and center than a manager who has clearly bought into the Kroenke model in large part due to the fact that his enormous ego suggests that only he could accomplish great things without breaking the bank... unfortunately that isn't possible anymore as the game has changed quite dramatically in the last 15 years, which has left a largely complacent and complicit Wenger on the outside looking in... so don't blame those players who demanded more and were left wanting... don't blame those fans who have tried desperately to raise awareness for several years when cracks began to appear... place the blame at the feet of those who were well aware all along of the potential pitfalls of just such a plan but continued to follow it even when it was no longer a financial necessity, like it ever really was...

The former built a seat and vote share prediction model based on huge quantities of fieldwork (7000 interviews per week) plus the now - famous Multilevel Regression and Post-stratification (or MRP) that converted that data into seat - by - seat estimates.

«If — and it's a big if — that turns out to be the right avenue to go down, that could play into the models we use for our future climate predictions.»

The model predictions are therefore reliable, taking some statistical uncertainty into account.

Thus, Ellis» model of time retains enough of the block universe to match with relativity's predictions, but without needing to take Einstein's drastic last step of assuming that the fourth dimension is solidified into the infinite future.

Although useful for making short - term predictions, these models provide little insight into how the higher education system evolves in response to external changes.

To assess their software, the team compared model predictions with the characteristics of other known locations they had not fed into the computer.

ADVANCES: Tornado prediction requires complex computer modeling that can take into account the small shifts in storms that can send one whirling into a tornado.

Although a more detailed understanding of the physics of the two layers is necessary to improve the computer models, the stratospheric effects can simply be used as another factor to incorporate into statistical predictions.

In April 2011, five days before a powerful storm system tore through six southern states, NOAA's current polar - orbiting satellites provided data that, when fed into models, prompted the NOAA Storm Prediction Center to forecast «a potentially historic tornado outbreak.»

This research into real - time, micro - and nanoscale mechanisms of corrosion provides valuable information that the scientists can build upon, which may lead to models and predictions of how and when materials in confined spaces are likely to corrode.

EWeLiNE cannnot simply use the NCAR system because weather models and the algorithms that convert weather predictions into power forecasts differ between the United States and Germany.

He thinks previous models that did not take midair collision into account have been underestimating the strength of sandstorms, making their prediction of a storm's effects on the landscape inaccurate.

The latest 24 - hour forecast of the oil's trajectory, created by feeding currents and wind predictions into computer models, shows oil hitting dozens of places along Louisiana shorelines, from Caillou Bay in the west to Breton Sound, just east of where the Mississippi meets the gulf.

Now, the team of Frédéric Guillaume of the Department of Evolutionary Biology and Environmental Sciences of the University of Zurich, in cooperation with research groups from Grenoble and Vienna, has developed a new model that takes eco-evolutionary mechanisms into consideration, therefore permitting more reliable predictions.

Applying this to weather prediction models, Roebber began by subdividing the existing variables into conditional scenarios: The value of a variable would be set one way under one condition, but be set differently under another condition.

In particular, they hope to measure to within a few percentage points how quickly the Higgs decays into different combinations of more - familiar particles and compare that with standard model predictions.

It then compares the actual behavior of its body with the generated models to see which one made the best predictions, taking the winning model and seeding it into the action in each round.

After comparing the historic data with the expert's predictions, the program can then provide insights into the bias of the expert's own mental models, according to the researchers.

The paleoclimate data, which included mainly changes in the oxygen isotopes of the calcium carbonate deposits, were then compared to similar records from other caves, ice cores, and sediment records as well as model predictions for water availability in the Middle East and west central Asia today and into the future.

By incorporating the complexities of channel geometry, fluid flow rates, diffusion coefficients and possible chemical interactions into a numerical model, the behavior of a particular system can be accurately predicted when an intuitive prediction may be extremely difficult.

Even with the best numerical model of ice flow available, if the data going into it is not accurate, then the predictions will not be reliable.

To this end, for each cohort (pre-mortem and postmortem), we partitioned the data into training and testing datasets, fitted the model on the training data with 3 - repeat -5-fold cross validation, performed the predictions on the test set and then obtained the regression statistics of real vs. predicted Blood PMI.

«Our next steps are to consider how to incorporate a prior false - positive mammogram and biopsy results into risk - prediction models for breast cancer,» she said.

The adjusted models were the models that were actually used by the state to make predictions that fed into teacher and principal effectiveness scores.

As an effect, you may feel more comfortable with the predictions you'll plot into your valuation models (i.e. a Discounted Cash Flow analysis).

My first excursion into Monte Carlo modeling resulted in Retirement Trainers A, B and C. I reported the implications in P / E10 Predictions.

But as more economic data came along, the model changed this «significant correction» prediction into a «bear market» prediction, which is precisely what happened.

The theorists are consulted once again, now with this newly arrived idea to contend with, and they develop a further improved quantitative model upon which to make predictions into specific experimental design circumstances.

For example, Kenyan malarial epidemiologist Andrew Githeko was targeted a decade ago after his model - based predictions of the spread of malaria into the highlands of East Africa, where it is currently expanding but was historically absent due to the temperature limitations that altitude brings.

Just to belabour the point; notice that my Jupiter prediction failed to take into account either the colour of the rocket's paint or the newly discovered earthlike planet around Alpha Centauri (or wherever) because my scientific judgement tells me that while this leaves me open to the criticism that my model is incomplete, I have good reason to believe that these things don't matter in the current context.

While RealClimate has called into question the soundness of the paper's quite narrow conclusions of discrepancy between model predictions and measurements of the relative rate of warming of different levels of the atmosphere over the tropics, this paper is being touted by the deniers as showing that the models are wrong to predict any warming at all, and that predictions of future warming and climate change can be entirely discounted.

I create parameterizations of land - atmosphere interactions which are incorporated into climate models and numerical weather prediction models.

Isn't science precisely the quantification of observations into a theory or model and then using that to make predictions?

Instead, he inappropriately fed his Fantasy IPCC predictions of CO2 concentration into equations meant to describe the EQUILIBRIUM model response to different CO2 concentrations.

This claim is complemented with a broad literature synthesis of past work in numerical weather prediction, observations, dynamical theory, and modeling in the central U.S. Importantly, the discussion also distills some notoriously confusing aspects of the super-parameterization approach into clear language and diagrams, which are a constructive contribution to the literature.

And one more thing that really bothers me about climate model predictions that is rarely discussed around here, and kind of swept into the closet, which is prediction skill.

The main reason climate models run into the future are not really predictions is that it is very expesnive to run each scenario, and so there are far too many of them to run every plausible case.

These are all things that climate change model should take into account to arrive at better predictions of the future, but the full effects of this nitrogen fertilization aren't yet entirely clear.

This most recent work brings the G.F.D.L. modeling into better agreement with predictions by other groups that also used very high resolution models.

Canadian Ice Service, 4.7, Multiple Methods As with CIS contributions in June 2009, 2010, and 2011, the 2012 forecast was derived using a combination of three methods: 1) a qualitative heuristic method based on observed end - of - winter arctic ice thicknesses and extents, as well as an examination of Surface Air Temperature (SAT), Sea Level Pressure (SLP) and vector wind anomaly patterns and trends; 2) an experimental Optimal Filtering Based (OFB) Model, which uses an optimal linear data filter to extrapolate NSIDC's September Arctic Ice Extent time series into the future; and 3) an experimental Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.

Canadian Ice Service, 4.7 (+ / - 0.2), Heuristic / Statistical (same as June) The 2015 forecast was derived by considering a combination of methods: 1) a qualitative heuristic method based on observed end - of - winter Arctic ice thickness extents, as well as winter Surface Air Temperature, Sea Level Pressure and vector wind anomaly patterns and trends; 2) a simple statistical method, Optimal Filtering Based Model (OFBM), that uses an optimal linear data filter to extrapolate the September sea ice extent timeseries into the future and 3) a Multiple Linear Regression (MLR) prediction system that tests ocean, atmosphere and sea ice predictors.

Of course, despite ongoing advances in computer modelling technology and the millions of dollars being channelled into the problem in the UK and US, among other nations, climate change predictions are far from an exact science, and few, if any, researchers engaged in the issue have claimed as much.

And, as Edim has suggested, if the real life «physics» tells us that this «lack of warming» continues for another 15 years despite unabated human GHG emissions, we may have to toss those model predictions, and the «agenda driven physics» that created them, into the trash.

So far the hypothesis of CAGW is not yet been shown to be repeatable by others, the models have yet to produce any valid predictions, and there are many areas of investigation into the workings of the climate system that have been ignored.

We strive to translate scientific discoveries into improved models for weather forecasting and climate prediction.