Models predict how much the world will warm depending on how much we emit in future.
DNA - based
models predict how pixels in an image will move from one frame to the next based on the robot's actions.
Take, for example, the way climate
models predict how trees respond to drought.
«Hairy tongues help bats drink up: New
model predicts how hairs on a bat's tongue draw up nectar.»
More than fifty years ago, a mathematical
model predicted how elementary motion detectors must be structured in the brain.
They used 10 atmospheric
models predicting how the West's climate will change by 2100.
Not exact matches
The price competition offered by matching sellers with legions of online buyers was once
predicted to be the permanent
model of
how commerce took place on the internet.
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.
The strength of their [Kosinski and his Cambridge colleagues]
modeling was illustrated by
how well it could
predict a subject's answers.
We first backtest the
model to examine
how well it
predicted actual past returns.
The project is detailed in the contract as a seven step process — with Kogan's company, GSR, generating an initial seed sample (though it does not specify
how large this is here) using «online panels»; analyzing this seed training data using its own «psychometric inventories» to try to determine personality categories; the next step is Kogan's personality quiz app being deployed on Facebook to gather the full dataset from respondents and also to scrape a subset of data from their Facebook friends (here it notes: «upon consent of the respondent, the GS Technology scrapes and retains the respondent's Facebook profile and a quantity of data on that respondent's Facebook friends»); step 4 involves the psychometric data from the seed sample, plus the Facebook profile data and friend data all being run through proprietary
modeling algorithms — which the contract specifies are based on using Facebook likes to
predict personality scores, with the stated aim of
predicting the «psychological, dispositional and / or attitudinal facets of each Facebook record»; this then generates a series of scores per Facebook profile; step 6 is to match these psychometrically scored profiles with voter record data held by SCL — with the goal of matching (and thus scoring) at least 2M voter records for targeting voters across the 11 states; the final step is for matched records to be returned to SCL, which would then be in a position to craft messages to voters based on their
modeled psychometric scores.
Many investors and analysts rely on financial and mental
models to understand and
predict how a company operates and
how it may perform in the future.
The future of Disney's integrated business
model after all its moves last year (Redef) It's Hard to
Predict How You'll Respond to Risk «
How you responded to the last big loss, or the -LSB-...]
In the next installment of our preview, we're revealing
how our
model stacks up every Division I team at the outset of the season according to projected margin of victory, which we calculated by combining each team's
predicted offensive and defensive output.
But the critical thing is to know what this algorithm is
predicting;
how to justify it; what is the
model of climate change built into the algorithm; what risks of error are built into the algorithm that is
predicting climate change?
In December 2017, writing in Computer Methods in Applied Mechanics and Engineering, Yankeelov and collaborators at UT Austin and Technical University of Munich, showed that they can
predict how brain tumors (gliomas) will grow and respond to X-ray radiation therapy with much greater accuracy than previous
models.
«
Models are used to
predict how soil processes change, for example, in response to climate change,» said Steve Allison, coauthor from the University of California, Irvine.
Benjamin «Benjy» Firester, 18, of New York City, won the top award of $ 250,000 for developing a mathematical
model that uses disease data to
predict how weather patterns could spread spores of late blight fungus, which caused the Irish Potato Famine.
Researchers at the Icahn School of Medicine at Mount Sinai have created the first mathematical
model that can
predict how a cancer patient will benefit from certain immunotherapies, according to a study published in Nature.
And despite the rings» abundance, scientists still don't understand exactly
how this inner circle forms or
how land could weaken enough to behave like a liquid in the immediate aftermath, as
models predict.
The goal is to develop a
model that can
predict how cultures and societies respond to geopolitical and ecological events.
To find out, the study's authors used a wave
model to
predict how a tsunami would flood the Kauai coastline.
«It's really interesting to see the dynamic evolution that the
model predicts, and
how it explains what we observe on the surface,» says Simone Atzori, a geophysicist at the National Institute of Geophysics and Volcanology in Rome, who was not involved with the study.
The researchers provide a new mathematical
model that can be used by population geneticists and ecologists to better
predict how social groups will influence the way species maintain genetic diversity and evolve, and ultimately help in the conservation of species.
The data from those experiments can then be fed into a
model, allowing researchers to
predict how this behavior would manifest itself on a larger scale.
When the weather - based
model developed at Rothamsted Research was used to
predict how climate change may affect the wheat crops, it was
predicted that wheat flowering dates will generally be earlier and the incidence of the ear blight disease on the wheat crops will substantially increase.
Of course it is difficult to
predict how this career might change in the next few years, with the current discussion of Web - based journals that are considering different
models of peer review and editorial handling.
«The broader idea is that we must understand and include the effects of forest loss when
modeling global climate and trying to
predict how climate will change in the future,» said Swann.
And although he is confident that the disks are real, Marcy points out that astronomers»
models of brown dwarfs are still in their infancy, and it's hard to
predict exactly
how much heat they produce.
The team gathered available data for October and November, 2012 to 2016 and plugged it into a particle dispersion
model — an algorithm that accounts for geography, wind patterns, and physics to
predict how far and in what direction smoke particles travel.
Their mathematical
model also
predicted how the Disneyland outbreak helped push California back from the tipping point by making parents more afraid of the disease than the vaccine.
The evidence: The Big Bang
models, along with the studies of primordial microwaves,
predict how many conventional atoms should be out there — and the result is much more than can be accounted for by stars alone.
Barnard and his team
predicted how SoCal's shores would evolve from 2010 through 2100 by
modeling the factors that influence beaches — estimates for sea level rise as well as wave and storm behavior and
predicted climate change patterns if the world eventually stabilizes its greenhouse gas emissions by mid-century, then starts reducing them.
Wong and Amir answered this question with a theoretical
model which quantitatively
predicted both
how the bacteria would grow to recover its straight shape and
how long it would take.
This would provide valuable data that could be used to more accurately
model how Australia's more than 11,000 beaches are changing, and
predict how they will respond as climate change sets in.
Nadeau also studies the potential impacts of climate change on species around the globe, using
modeling, field observation and experiments to
predict where species are most vulnerable and determine
how conservation groups can best mitigate the negative impacts of climate change on animal populations.
Accuracy of the 1 - D, 2 - D, or 3 - D flood
models that track
how these waves move is crucial for
predicting maximum flood depth, hazardous conditions, and other variables.
The original CIF
model used social science theory to
predict how the behavior of one «agent» would affect
how other agents viewed it.
Co-author Prof Derk - Jan Dijk said: «Just as mathematical
models are used to
predict climate change, they can now be used to
predict how changing our light environment will influence our biological rhythms.
These new results, however, contradict current
models of
how galaxies evolved in the early Universe, which do not
predict any monster galaxies at these early times.
«It also can help scientists
model and
predict future earthquake and volcanic hazards, where they might occur and
how deep the devastation might be depending on what the
models show.»
These 3 - D
models also can be used to assess and improve the predictive capabilities of the 2 - D
models that government agencies and consulting companies use for
predicting how floods will spread and the associated risks and hazards.
«The result is not a surprise, but if you look at the global climate
models that have been used to analyze what the planet looked like 20,000 years ago — the same
models used to
predict global warming in the future — they are doing, on average, a very good job reproducing
how cold it was in Antarctica,» said first author Kurt Cuffey, a glaciologist at the University of California, Berkeley, and professor of geography and of earth and planetary sciences.
This finding was reinforced by computer
models of the general circulation of the atmosphere, the fruit of a long effort to learn
how to
predict (and perhaps even deliberately change) the weather.
«The effective immune response didn't happen in every tumor
model we tested, so we still need to figure out exactly what triggered the tumor shrinkage and
how to
predict which tumors will shrink in response to virotherapy,» said Leddon, who is also working toward her medical and doctoral degrees at the University of Cincinnati.
«For the first time, space weather forecasters now have
models and tools for
predicting how a CME is released from the sun, accelerated out into the solar wind, and ultimately ends up colliding with Earth's magnetosphere creating the geomagnetic storms that impact so many technologies and systems,» says Rodney Viereck of the National Oceanic and Atmospheric Administration's (NOAA) Space Environment Center.
To
predict which creatures are in danger of extinction, the teams used computer
modeling and information from the Intergovernmental Panel on Climate Change to compare the way habitats look today with
how they may be altered by climate change.
Hertel and doctoral student Uris Baldos developed a combination of economic
models — one that captures the main drivers of crop supply and demand and another that assesses food security based on caloric consumption — to
predict how global food security from 2006 to 2050 could be affected by changes in population, income, bioenergy, agricultural productivity and climate.
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.
«By comparing the results of the
models, it was possible to determine which environmental variables are the most effective in
predicting zebra movement, and then use this knowledge to try and infer as to
how the zebra make their decisions,» said Gil Bohrer, assistant professor in the Department of Civil, Environmental, and Geodetic Engineering at The Ohio State University, who collaborated on the project.