Sentences with phrase «model for predicting»

A two - factor model for predicting when a couple will divorce: Exploratory analyses using 14 - year longitudinal data.
CONCLUSIONS: The results of this replication confirm the continuing value of the three - factor model for predicting the QOL of adults with MS, and demonstrate the importance of medical, mental health, and vocational rehabilitation interventions and services in promoting QOL.
Decades of marriage counseling have shown me that the best model for predicting the quality of relationship is the dynamic balancing between these two emotional states.
When Sears looked deep into its data, it realised it could develop a model for predicting changes, from a particular store's sales to the effect on company - wide relationships with customers, employees and investors.
The estimates, which have been reached after researchers used for the first time in Europe a new mathematical model for predicting cancer mortality, show a fall in overall cancer death rates for both men and women when compared to 2007.
But the thing I forgot about «patterns» back in July 2010 is that they are, by definition, a «consistent and recurring characteristic or trait that helps in the identification of a phenomenon or problem, and serves as an indicator or model for predicting its future behavior.»
They revised their predictions, saying that they had created a new, more powerful computer model for predicting the future.
The University of Western Australia's Ryan Lowe led a team of researchers who studied a reef system off the coast of northwestern Australia, as well as other reef systems across the globe, in order to develop a new model for predicting how rapid sea level rise will impact daily water temperature extremes within these shallow reefs over the next century.
For example, I recently investigated a model for predicting criminal activity based on historical crime, weather, social media traffic, census and traffic itself.
Empirical model for predicting the break - up of landfast sea ice along the coast of Barrow, Alaska.
Diuk - Wasser, M. A., G. Vourc» h, P. Cislo, A. G. Hoen, F. Melton, S. A. Hamer, M. Rowland, R. Cortinas, G. J. Hickling, J. I. Tsao, A. G. Barbour, U. Kitron, J. Piesman, and D. Fish, 2010: Field and climate - based model for predicting the density of host - seeking nymphal Ixodes scapularis, an important vector of tick - borne disease agents in the eastern United States.
Stock Market Valuation model for predicting future returns (RAVI) Very popular among our investing clients, the RecessionALERT Valuation Index (RAVI) examines 10 - year cyclically adjusted trailing SP - 500 earnings, the SP - 500 index level, total stock market capitalization, Gross Domestic Product, total SP - 500 corporate liabilities, total SP - 500 corporate net - worth and percentage of investors allocation to stocks versus cash and bonds to determine 10, 5, 3, 2 and 1 year forecasts for the SP - 500 Total Return Index (dividends re-invested).
Visitors to the site can learn about a new model for predicting seasonal weather.
THE PARADIGM SHIFT - May 21 - PlentyOfFish.com now has a fairly accurate model for predicting who an average user will end up with.
Computational biology researchers at Pacific Northwest National Laboratory developed a model for predicting what's happening during a stroke, how the process evolves over time, the potential outcomes, and the effects of different treatment options.
The available data suggest that reversal of scopolamine - induced cognitive impairment is a viable model for predicting pharmacodynamic signals of cognition enhancing compounds in animals [91].
This work provided greater mechanistic understanding of airway remodeling that occurs as a result of viral exacerbation in respiratory diseases and an improved model for predicting the response to therapeutic candidates.
The current model for predicting cancer risk from ionizing radiation holds that risk is directly proportional to dose.
This technology has been developed from a skin explant model for predicting a potentially serious complication of bone marrow transplantation, «graft versus host» disease — a common complication following the transplant.
In contrast to previous studies of Proteaceae in Australia and South Africa, the best - fit model for predicting the number of cluster roots in this study did not contain any soil P factor; foliar P levels correlated with cluster root formation.
By understanding how these fishes evolved, by understanding how we got from the past to the present, we can create a model for predicting what's going to happen as global climates change, as deforestation continues, and all of these aquatic habitats change.
The researchers created a model for predicting the velocity and height of jet aerosols produced by bubbles from 20 microns to several millimeters in size, and in liquids as viscous as water, or up to ten times more viscous.
The researchers used water and water mixed with glycerin to create a model for predicting the velocity and height of the droplets, or jet aerosols, cast upward as bubbles on a liquid's surface burst.
Economists at North Carolina State University and Indiana University have found that the most widely used model for predicting how U.S. government spending affects gross domestic product (GDP) can be rigged using theoretical assumptions to control forecasts of how government spending will stimulate the economy.
They next tested six randomly selected best - and worst - performing lipidoids in rats and found that the correlation between performance in rats and in zebrafish was 97 percent, suggesting that zebrafish are a good model for predicting drug - delivery success in mammals.
For example, a computerized model for predicting dairy prices can't always incorporate breaking news, such as a milk - powder scare in China, into its formula.
Are reasoning and imagination — the twin faculties that most of us associate with innovation — enough for Ray Kurzweil to know which of the formulas that he's dreamed up based on past technological trends will lead to the best mathematical models for predicting future trends?
The new report, released today (Sept. 7) by the National Research Council, states that NASA's models for predicting its astronaut staffing needs in the near future do not fully account for unexpected personnel changes like retirements and medical leave.
Satellite imagery is used for all sorts of climate study, from identifying conditions that allow infectious diseases like West Nile virus and cholera to emerge, to creating models for predicting hurricanes, to distinguishing natural resources such as wind, water and sunlight.
The report, which drew heavily on two Environmental Protection Agency (EPA) workshops held in 1995, also recommends more research on such topics as DNA biomarkers that can gauge an organism's exposure to endocrine disruptors; models for predicting how endocrine disruptors are metabolized; mechanisms of how endocrine disruptors act at a cellular level; and the effects of mixtures.
«Evaluating forecasting models for predicting rainfall from tropical cyclones.»
The EOLO group (UPV / EHU) has developed various models for predicting the amount of wave energy for the Bay of Biscay, by using a technique called random forests.
Among the implications of the study are that ocean temperatures in this area may be more sensitive to changes in greenhouse gas levels than previously thought and that scientists should be factoring entrainment into their models for predicting future climate change.
This group aims to build a better understanding of the physical properties of materials, leading to rigorous models for predicting the response of materials to external stimuli.
But existing models for predicting the outcome of IVF are based on limited, outdated information, says Rima Dhillon at the University of Birmingham, UK.
The track record of animal models for predicting therapies that will work in people has been poor, making drug discovery for neurodegenerative diseases very costly — and therefore less attractive to drug companies.
Her current projects include an extension of her dissertation work, in which she analyzed (and found serious limitations to) the three main models for predicting government spending at the level of appropriations bills.
The Mayans had acausal (or incorrect causal) models for predicting the appearance of heavenly objects over multi-decadal periods.
The standard models for predicting Indian monsoons don't take into account local topographical details, such as the western Himalaya.
The new findings are expected to help scientists improve existing computer models for predicting future climate change as increasing anthropogenic greenhouse gases in the atmosphere drive up Earth's temperatures globally.
Importantly, the scientists recognize that «atmospheric growth rates have deviated significantly from predictions of a linear model of atmospheric CO2 concentrations and anthropogenic emissions since 2002,» underscoring the imprecision of computer models for predicting climate change.
Computer models for predicting climate, he says, «don't even pass the laugh test.»

Not exact matches

While this decision by shareholders seems to affirm their confidence in Musk and his vision, Vilas Capital is betting against Tesla, with Thompson predicting the company will crash in the next three - to - six months due to problems delivering on the Model 3 and falling demand for the Model S and X.
The key to the success for many of these companies — and what companies of all sizes can learn from — has been to not only look at metrics retroactively to analyze what happened, but also to develop models to predict optimal offerings for the future.
The Penn Wharton Budget Model predicts the added debt eventually would reduce economic growth, as money that might have been spent on productive investment instead ends up in the market for government bonds.
Supersymmetry predicts that a yet - to - be-discovered partner particle for every particle within the standard model exists.
By using the pay - as - you - go model, companies could save dramatically — up to 50 percent over five years, Forrester predicts — by increasing efficiency, postponing additional purchases, reducing staffing costs, and improving how they monitor and account for computer usage.
With this in mind, the Materials Genome Initiative is building databases of material properties like strength, density and other things, and also includes computer models to predict what processes will achieve the qualities a manufacturer is looking for.
We use this data and combine it with other information we have about you to help us predict your preferences, to direct marketing offers that might be more relevant to you, and to help us better analyze customer information for business modeling purposes.
And I would say that was because — this is just one example — the field of economics, for many years, did not incorporate the fact that humans don't make decisions generally on a one - to - one level the way that their models would predict.
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