Sentences with phrase «model data only»

This is usually done by evaluating climate model data only where and when observations are available, in order to mimic the observational system and avoid possible biases introduced by changing observational coverage.

Not exact matches

Tesla, which only provides worldwide sales data, has sold 13,800 Model S sedans this year.

Jeff Malmad, Mindshare North America's head of mobile, sees that as a model for how emotional data will be used — to understand consumers» «moments of receptivity,» and not only targeting those moments with ads but also using them to create better products.

As a result, the model only fits the data well during a couple of decades of relatively high and falling interest rates.

Officials believe Cambridge Analytica will only be one of the first stories of companies misusing customer data, with the conference calling on social media companies to change their business models to adapt to the EU General Data Protection Regulatdata, with the conference calling on social media companies to change their business models to adapt to the EU General Data Protection RegulatData Protection Regulation.

These new rules have far - reaching implications not only for companies like Geofeedia, but also for others whose business models revolve around utilizing social media data for close observations.

Among the data that drives this tool is NOAA's topography data — a fundamental element in their wetlands restoration model for informing industrial investment decisions that support not only bottom line for manufacturing but the environment.

The company was just named one of only four 2016 SIIA Model of Excellence Winners based on exceptional standards for data excellence.

For example, when using the model to make predictions for time t +1, only data at time t was used; i.e. the 7 technical features from EOD yesterday were used to predict the price direction for today.

While «operating earnings» are not even defined under Generally Accepted Accounting Principles, and «forward operating earnings» only surfaced as a creature of Wall Street in the early 1980's, it's simple enough to impute historical values of forward operating earnings because they are almost completely explained by observable earnings and employment data — see Long - term Evidence on the Fed Model and Forward Operating Earnings.

For example, there are persons to whom it is wholly self - evident that sense data are the ultimate givens in terms of which all thought develops and who are equally convinced that the only acceptable explanation of the way things happen follows mechanical models.

Data Scale is the only manufacturer to provide a comprehensive array of patented, operational and safety features on every model we make as «standard» equipment.

We calculated these transition probabilities using data from the longitudinal National Health and Nutrition Evaluation Survey, which assessed a cohort of women in 1987 and the same women again in 1992.25 Several limitations of these data affect our model: 1) because this national survey lacks data on women before age 35 years, women in our model could not develop hypertension, type 2 diabetes mellitus, or MI before age 35 years; 2) because longitudinal survey data were only available for a 5 - year interval, we assumed that transition probabilities were stable within the 5 - year intervals and converted these probabilities from 5 - year to 1 - year intervals; 3) because the survey data were too few to provide stable estimates by year of age, we used transition probabilities for women in three age groups: aged 50 years and younger, 51 — 65 years, and 65 years and older.

Of note, our models may underestimate the true maternal costs of suboptimal breastfeeding; we modeled the effects of lactation on only five maternal health conditions despite data linking lactation with other maternal health outcomes.46 In addition, women in our model could not develop type 2 diabetes mellitus, hypertension, or MI before age 35 years, although these conditions are becoming increasingly prevalent among young adults.47 Although some studies have found an association between lactation and rates of postmenopausal diabetes22, 23 and cardiovascular disease, 10 we conservatively limited the duration of lactation's effect on both diabetes and MI.

Given the heterogeneity in the choice of outcome measures routinely collected and reported in randomised evaluations of models of maternity care, a core (minimum) data set, such as that by Devane 2007, and a validated measure of maternal quality of life and well being would be useful not only within multi-centre trials and for comparisons between trials, but might also be a significant step in facilitating useful meta - analyses of similar studies.

Finally, consider two fundamental issues with over-targeting: first, targeting is only as good as the model your using to slice and dice your data and match it to the right messaging.

Of course, these tools will only help if you've first done the work of 1) building a sizable Facebook following, and 2) creating a list or data model of the voters you need to reach.

Only one poll conducted since the attacks has been published, so most of the changes in the opinion poll data, and the models that are built on them, reflect polls conducted late last week; shortly after the Conservative manifesto launch and mostly before Theresa May's announcement of a cap on social care funding.

Since the model uses data from every general elections since 1945, it can only work for parties that have been on the national scene since then.

Processing the biological data at the deepest level, such as DNA base pairs, therefore only makes sense if this analysis can used to build models of biological processes and if the resulting predictions can be tested.

Classic prediction models that only contain socio - demographic data (e.g. a person's age), aren't very informative on their own in predicting behavior.

But models are only as good as the data they're based on, and both Guttieri and Gelfand say that more data is needed.

But the models are only as good as the data we can get into them.

Climate modeling is fiendishly difficult not only because of its innate complexity but also because of the paucity of historical data.

This strategy, also known as «procedural modeling,» enables data from different size scales and formats to be integrated into one multi-scale model, building it from the bottom - up and top - down simultaneously, rather than starting with discrete data sets that each describe only one aspect of the model and trying to reconcile them.

«Not only is our physics - based simulation and animation system as good as other data - based modeling systems, it led to the new scientific insight that the limited motion of the dynein hinge focuses the energy released by ATP hydrolysis, which causes dynein's shape change and drives microtubule sliding and axoneme motion,» says Ingber.

The model calculations, which are based on data from the CLOUD experiment, reveal that the cooling effects of clouds are 27 percent less than in climate simulations without this effect as a result of additional particles caused by human activity: Instead of a radiative effect of -0.82 W / m2 the outcome is only -0.60 W / m2.

Prior to CRaTER and recent measurements by the Radiation Assessment Detector (RAD) on the Mars rover Curiosity, the effects of thick shielding on cosmic rays had only been simulated in computer models and in particle accelerators, with little observational data from deep space.

«The wealth of data we've collected over decades makes our models of coastal variability increasingly more reliable — but only for a 500 km stretch of southeastern Australia,» Turner added.

But the data collected by the UNSW team is only reliable for modelling when it comes to predicting effects in southeastern Australia.

But models are only as good as their input data, and very quickly, Cembrowski says, he realized he needed more of it.

Evidence for this hierarchical model of galaxy evolution has been mounting, but these latest ALMA data show a strikingly clear picture of the all - important first steps along this process when the Universe was only 8 percent of its current age.

An international team including researchers from the Laboratoire de Planétologie Géodynamique de Nantes (CNRS / Université de Nantes / Université d'Angers), Charles University in Prague, and the Royal Observatory of Belgium [1] recently proposed a new model that reconciles different data sets and shows that the ice shell at Enceladus's south pole may be only a few kilometers thick.

Co-author Daniel Kasen from UC Berkeley and Lawrence Berkeley National Lab created models of the supernova that explained the data as the explosion of a star only a few times the size of the sun and rich in carbon and oxygen.

Some of that backlog is bureaucratic: FEMA only uses officially approved models, he says, and the processes of approval can slow down the inclusion of newer, better data.

New climate models — made by using estimated radiation levels from that time, along with data from the Magellan spacecraft about Venus's current surface — suggest that Venus would have been only 11 °C (52 °F).

The model was validated with data from Northern California's Contra Costa Water District for customers who were irrigation - only users.

Running these data through a computer model, they found that they could get the experimental results and model output to agree only when they included two charmonium pentaquarks in the lambda - b decay process — one having a mass of 4.45 gigaelectronvolts (GeV) and the other a mass of 4.38 GeV.

Prognoses for the future of the Arctic can only be as reliable as the models and data they're based on.

Dr. Miller enumerated two factors that set this model apart from others: its use of a large data set based on the National Trauma Data Bank, and its use of isolated brain injury only, again which the NTDB enables because it is such a large data data set based on the National Trauma Data Bank, and its use of isolated brain injury only, again which the NTDB enables because it is such a large data Data Bank, and its use of isolated brain injury only, again which the NTDB enables because it is such a large data data set.

«We caught over 250 different species in mist nets, but only had enough data to model 20 of the most common,» says Jeff Brawn, U of I ecologist and department head of Natural Resources and Environmental Sciences in the College of Agricultural, Consumer and Environmental Sciences.

«The model advances our ability to assess the impact - phase force and time relationships from motion data only.»

So far, Jones states, the only true consensus is that «we don't have enough experimental data to validate any of the models.»

«Most other models really only honor one particular data set,» Stearns said.

Analyzing the data using a sophisticated model developed at MIT, the researchers discovered that only a small percentage of nanoparticles absorbed and released ions during charging, even when it was done very rapidly.

«So if we have a big data set — a big pool of people that's varied — then that allows us to really map out not only the genome of one person, but now we can start seeing connections and patterns and correlations that helps us refine exactly what it is that we're trying to do with respect to treatment,» the president explained in his 20 - minute speech, flanked by a red - and - blue model of the DNA double helix.

The team continues to develop its model, but in the end «machine learning is only as powerful as the data we can get access to,» Preot ¸ iuc - Pietro says.

The significance of tree islands as the only dry ground has long been acknowledged, but their significance also lies beneath the earth, as archeological findings from a dig in 2010 present data that prehistoric humans played a significant role in the formation of tree islands, and in turn, the archeological discoveries should be considered in current Everglades restoration models.

The team will use those data not only to calculate shop emissions, but also to model dispersion of airborne mercury.

Oskar Ström, RPh, PhDc, co-author of the study said: «Our model, based on Swedish costs and fracture risk data, shows that the widespread implementation of FLS has the potential to prevent a large number of fractures in Swedish patients with only a moderate cost per quality - adjusted life - year.»