Sentences with phrase «analysis model predicts»

«Machine learning offers new way of designing chiral crystals: Logistic regression analysis model predicts ideal chiral crystal.»

Not exact matches

Based on our analysis, we developed a living model that we update monthly predicting the future value of each customer.

After dividing and mapping out tweets and crime records onto a grid and identifying common topics of discussion (e.g., sports, restaurants, and entertainment) appearing in tweets, Gerber combined conclusions from this analysis with older forecasting models to predict crimes over the next month.

In the article titled «Computational Gene Expression Modeling Identifies Salivary Biomarker Analysis that Predicts Oral Feeding Readiness in the Newborn,» the scientists describe their two - phase research.

The paper is a technical analysis of the uncertainties involved in computer modeling studies that use the amount of phosphorus entering Lake Erie in the spring to predict the size of late - summer cyanobacteria blooms, which have grown larger since the mid-1990s.

Ram and her collaborators — including Wenli Zhang, a UA doctoral student in management information systems, and researchers from the Parkland Center for Clinical Innovation — created a model that was able to successfully predict approximately how many asthma sufferers would visit the emergency room at a large hospital in Dallas on a given day, based on an analysis of data gleaned from electronic medical records, air quality sensors and Twitter.

Background Often, the frequency of outcomes for an event can be modeled and predicted using statistical analysis.

«Massive data analysis shows what drives the spread of flu in the US: Models built with data from health claims, weather, geography and Twitter predict how the flu spreads from the south and southeastern coast.»

Burton and Dickey then developed logistic regression and random forest models using the ArmChair Analysis play - by - play data seasons to predict future play types.

Climate models such as those developed at GFDL can help researchers predict future levels of smog, enabling cost - benefit analyses for costly pollution control measures.

No one understands the transformative power of data analysis better than Democratic consultant Ken Strasma, who helped propel Barack Obama into office by devising a mathematical model that predicts the political behavior of nearly every eligible voter.

Using geospatial analysis and statistical modeling, she and Pimm created a new map that predicted the locations within the mountainous region where each endemic species could best survive.

Our teams develop novel approaches as well as utilize routine routes to synthesize molecular, nanostructured, and solid - state systems; analyze the samples with multiple instruments; and model the results for detailed insight and to predict new systems for synthesis and analysis.

Systems biology research will aim to identify and validate mathematical models that can accurately predict interactions between immune system components in relation to vaccination, as well as develop state - of - the - art methods for the structural and functional analysis of vaccine candidates.

Updating the Stroeve et al. (2007)(pdf) analysis (courtesy of Marika Holland) using the NSIDC data we can see that the Arctic continues to melt faster than any of the AR4 / CMIP3 models predicted.

Finally, we develop a model to predict the time since death from the analysis of the transcriptome of a few readily accessible tissues.

Using sophisticated models of weather and human movement patterns, the analysis predicts the worm's entry later this year, accomplished either by its independent migration or as it hitches rides along trade routes.

The affected amino acids are highly conserved, and in silico analyses including comparative protein modelling predict that they will interfere with protein function.

A modelling analysis predicted that dark chocolate consumption in populations at high risk of cardiovascular disease could potentially avert cardiovascular events over the long term owing to its antihypertensive and metabolic effects

Additional analysis of the ability of value - added modeling to predict significant differences in teacher performance finds that this data doesn't effectively differentiate among teachers.

Quantitative models derived from data analysis can predict outcomes.

Quantitative Analysis is referred to as the economic, business or financial analysis that aims to predict or understand behaviour or events through the use of mathematical measurements and calculations, statistical modelling and rAnalysis is referred to as the economic, business or financial analysis that aims to predict or understand behaviour or events through the use of mathematical measurements and calculations, statistical modelling and ranalysis that aims to predict or understand behaviour or events through the use of mathematical measurements and calculations, statistical modelling and research.

This analysis will reveal new insights about model biases, their causes, and about the role of natural variability in long - term change.It is possible that this analysis will change the predicted timing of the «ice free summers» but large uncertainties will likely remain.

Actually, looking at the Thompson paper, the discrepancy between NOAA STAR, UKMO and the models (particularly noticable in SSU Channel 1 / 25) is mostly the result of a sharp downward trend in NOAA STAR between ~ 1986 and 1992, not predicted by the models or picked up by the UKMO analysis.

«[T] his analysis would predict that the models will swing ever more wildly between snowball and runaway greenhouse states.»

and of course «If the role of internal variability in the climate system is as large as this analysis would seem to suggest, warming over the 21st century may well be larger than that predicted by the current generation of models, given the propensity of those models to underestimate climate internal variability»

The paper incorporates data - driven estimates of the value of fuel economy into an automotive market simulation model that has three components: a consumer demand function that predicts consumers» vehicle choices as functions of vehicle price, fuel price, and vehicle attributes (the new estimates of the value of fuel economy are used to set the parameters of the demand function); an engineering and economic evaluation of feasible fuel economy improvements by 2010; and a game theoretic analysis of manufacturers» competitive interactions.

BBD If a book is written that uses models to forecast future conditions in the UK, but those same models have been demonstrated to not be able to even reasonably accurately predict future rainfall at any specific location, what good is the analysis in the book that describes different conditions based on changes in rainfall?

The Modeling, Analysis, Predictions, and Projections (MAPP) Program is a competitive grants program in the NOAA Office of Oceanic and Atmospheric Research Climate Program Office with the mission to enhance the United States» capability to understand and predict natural variability and changes in Earth's climate system.

Ain't it nice when the simple physical models of the 1930s predict CO2 - driven AGW that is robustly affirmed by modern satellite data (as Dr.Benestad's analysis demonstrated)?

States that an analysis of observed and modeled oceanic salinity changes shows that significant changes of salinity, which are predicted in the World's oceans as a result of human influence, are beginning to emerge

Consistent with the previous analyses at Skeptical Science, RFC12 finds that the climate models used in the IPCC 2001 Third Assessment Report (TAR) and 2007 Fourth Assessment Report (AR4) predicted the ensuing global surface warming to a high degree of accuracy, while their central sea level rise predictions were too low by about 60 %.

If the role of internal variability in the climate system is as large as this analysis would seem to suggest, warming over the 21st century may well be larger than that predicted by the current generation of models, given the propensity of those models to underestimate climate internal variability.

If the role of internal variability in the climate system is as large as this analysis would seem to suggest, warming over the 21st century may well be larger than that predicted by the current generation of models, given the propensity of those models to underestimate climate internal variability [Kravtsov and Spannagle, 2008].»

b) failure of the climate models to predict a > 17 year plateau raises questions about the suitability of the climate models for detection and attribution analyses, particularly in terms of accounting adequately for multidecadal modes of climate variability...

«A strong warming and severe drought predicted on the basis of the ensemble mean of the CMIP climate models simulations is supported by our regression analysis only in a very unlikely case of the continually increasing AMO at a rate similar to its 1970 — 2010 increase» 7

@Judith The social cost of carbon, as used by the government in its cost - benefit analyses of new and revised regulations, is a carbon tax only if models used by the regulator accurately predict the induced change in behavior.

It's pretty funny that the GWPF is predicting no warming based on statistical analyses that can't agree whether warming stopped in 1998 or 2002, and pretty funny that the two modeling techniques used deliver quite different forecasts, making not one, not two, but four different forecasts — all of which we are apparently supposed to take more seriously than anything that is based on, you know, physics.

A purely statistical analysis that doesn't take into account physics can at best predict short term phenomena or situations that are exact analogues to past variations with similar causality to situation they purport to be modelling.

The present analysis suggests that the failure of the IPCC's models to predict this and many other climatic phenomena arises from defects in its evaluation of the three factors whose product is climate sensitivity:

A why - didn «t - I - think - of - that analysis by Fu et al. (2004) showed that the microwave wavelengths supposed to measure the mid-level troposphere had been contaminated by a contribution from the higher stratosphere, which was rapidly cooling (as predicted by models).

Analysis bridges differences between various climate change models to predict North American climate change with high certainty.

VS does his analysis over the entire GISS data set, but you think ignoring the first 90 + years of that dataset is OK because a model created * after * 1975 predicted that things would change in the 70s?

Designed and develop software system using analysis system and mathematical model to predict and measure outcome and consequence of design.

Provided recommendations to predict future events through quantifiable trend analysis, automated tracking tools and engineering models as they pertain and align to Earned Value Management System (EVMS).

Regression analyses confirmed that the income - to - needs ratio was significantly associated with caregivers» education (path A1; ranges across all regions: P <.001 in all models), predicted caregiving support / hostility assessed 1 year after baseline controlling for caregivers» education (path A2, P <.001), and predicted children's experience of stressful life events between baseline and time of scan when covarying for caregivers» education and supportive / hostile parenting (path A3, P <.001 in all models).

Results highlighted a) through exploratory and confirmatory factor analyses, a meaningful six - factor model (emotion expression, task utility self - persuasion, help - seeking, negative self - talk, brief attentional relaxation, and dysfunctional avoidance); b) satisfactory internal reliabilities; c) test - retest reliability scores indicative of a satisfactory stability of the measures over time; d) preliminary evidence of convergent and discriminant validity with CERS - M being very weakly linked to verbal skill and moderately to emotion regulation strategies measured through the Flemish version of the COPE - questionnaire; e) preliminary evidence of criterion validity, with CERS - M scores predicting math anxiety, and to a lesser extent, students» performance; f) preliminary evidence of incremental validity, with the CERS - M predicting math anxiety and performance over and above emotion regulation measured by the COPE - questionnaire.

A two - factor model for predicting when a couple will divorce: Exploratory analyses using 14 - year longitudinal data.

As reviewed in those posts, predicting the stability of any relationship can be done via application of the Investment Model, 1 which states that commitment between partners derives from three sources: (1) satisfaction, (2) dependence (based on perceived alternatives), and (3) investment level.2 In this final installment, we'll complete the analysis with the last variable, investments.

Actor — partner interdependence model analyses showed that acceptance and challenge from partners simultaneously predicted how effective partners were in motivating healthy behaviors, but these components of confirmation predicted the other outcomes in different ways.