Work by Daron as well as Michael Kiley
developed simple models of directed technological change building on the theories of endogenous technological change.
For the study «Doubling of coastal erosion under rising sea level by mid-century in Hawaiʻi,» published this week in Natural Hazards, the research team
developed a simple model to assess future erosion hazards under higher sea levels — taking into account historical changes of Hawaiʻi shorelines and the projected acceleration of sea level rise reported from the Intergovernmental Panel on Climate Change (IPCC).
From their experiments, the researchers
developed a simple model to predict the type of mutualistic relationship that would develop between the two strains, given how their populations changed over time.
To see whether the charging idea held up, the MIT team first
developed a simple model of an aircraft - triggered lightning strike.
Now, a team of researchers led by a scientist from the Department of Energy's Lawrence Berkeley National Laboratory (Berkeley Lab) has
developed a simple model of permafrost carbon based on direct observations.
This is just one example, and shows how
he developed a simple model of CO2 and warming that got within 15 % of what actually occurred over 35 years.
Researchers led by a scientist from Berkeley Lab have
developed a simple model of permafrost carbon based on direct observations.
Not exact matches
Universal, recurring consumer demand, sophisticated operating system, little organized competition, platform
developed by a global leader - it all adds up to a refreshingly
simple, yet powerful,
model.
When
developing the revenue
model for the business plan, the equation used to project sales is fairly
simple.
I have
developed a
simple keyword opportunity
model to help with this process, but for this post I am going to use a simplified version.
Mathematicians have
developed many mathematical
models with very
simple rules (analogous to laws of physics).
Knitting with two needles,
simple crochet, sewing,
developing patterns of form and colour, beeswax
modelling
Learning neuroscience isn't something every parent has time for, so Dr. Dan Siegel and Mary Hartzell, authors of Parenting from the Inside Out,
developed a
simple and surprisingly accurate
model of the brain that parents can make with their own hands, which helps us understand what goes on in there.
Two years ago I
developed a
simple statistical
model that tries to predict the outcome of general elections from local election results.
By studying liquid plugs in
simple glass tubes, he
developed a mathematical
model describing liquid transport process in each generation of the airway tree.
Researchers are also
developing rudimentary
models of signaling networks in cells and
simple brain circuits.
He cautions there is a huge gap between the
simple response of single - celled animals and the cognitive abilities of
developed species, but adds there is no doubt that a combined set of
simple circuit
models will have more complex behaviour.
At Middlesex University, we have
developed a
simple mathematical
model which includes the basic parameters of a possible attack, such as the behaviour of the politician, the assailant or assailants and the available defences.
Regardless of its origin, analyses of the new ring system — which is much smaller and
simpler than those circling Jupiter, Saturn, Uranus, and Neptune — may help scientists
develop better computer
models of how rings behave and evolve, Burns says.
They have
developed a set of tools that can be used to make accurate, rapid assessments of proposed materials, using a series of relatively
simple lab tests combined with computer
modeling of the physical properties of the material itself, as well as additional
modeling based on a statistical method known as Bayesian inference.
They have
developed a
simple mathematical
model that has helped them show how turbulent flows will evolve over intervals.
The focus of my research is applied,
developing both
simple compartmental
models and more complex individual - based
models, to explore the impact of interventions and to help guide policy.
But experimental and computational scientists
developed methods to sift through all the complexity and improve the illusive process of prediction with a
simple model.
Researchers
developed a surprisingly
simple mathematical
model that accurately predicts synchronization as a function of the parameters and the topology of the underlying network.
The aim of this study was to
develop new,
simple surgical mouse
models of chronic lymphedema, better simulating chronic nature of human postsurgical lymphedema.
Finally, we show how the tools we
developed can be combined to solve ranked conjunctive and disjunctive multi-term queries under the
simple [Formula: see text]
model of relevance.
By
developing a
simple chemically defined culture system permitting efficient differentiation of numerous human iPS cell lines toward cells of a mature hepatic state, we now demonstrate the possibility of
modeling groups of diseases of non-neuronal origin whose phenotypes are a consequence of complex protein dysregulation within adult cells.
The Wellness and Prevention
model of health care used at the Kolp Institute emphasizes that
simple lifestyle changes can have a powerful impact on long - term health and dramatically decrease the risk of
developing a serious illness.
The process is
simple and easy to follow — we have
developed a
model that is
simple and transparent.
«For example, making up a dance routine for something as
simple as the Hokey Cokey to impress our friends, figuring out how to streamline a supply chain business process,
developing a computer simulation to
model how a new antibiotic will impact on the immune system, or just doing long multiplication, are all examples of using algorithms to solve problems.
Abstraction refers to stripping away unnecessary details to
develop a generic solution, or representing a complicated system with a
simple model or visualization.
Agenda Presentation Math Mobile (Template)
Developing Proficient Problem Solvers Three Acts Task
Modeling Addition (Kinder) 3 - Acts Tasks by Graham Fletchy Numberless Task with Different Problem Types Making a Mathematical Sketch
Simple Math Activities Quiz, Quiz Trade with...
It is one of eight related visual tools that Hyerle
developed to help students organize their thoughts on paper and construct
simple to complex mental
models.
Her approach is
simple yet provocative: affirm the reader in every student, allow students to choose their own books, carve out extra reading time,
model authentic reading behaviors, discard timeworn reading assignments such as book reports and comprehension worksheets, and
develop a classroom library filled with high - interest books.
We
develop a
simple effciency wage
model, with a tradeoff between
To make calculations
simple and avoid
developing a complicated
model, you could give the 800 euro above your 3k to your wife for as long as she has to work part time.
There are several variables to mix and match when
developing a
simple tactical asset allocation
model like those detailed in Faber's book.
«While this boom / bust pattern is familiar to macroeconomists, who have
developed complex
models for generating business cycles, there may be a
simpler explanation based on human behavior.
The basic physics is illustrated very nicely in a
simple «toy
model»
developed by Thomas Stocker and Sigfus Johnsen.
We have used the
Model for the Assessment of Greenhouse - gas Induced Climate Change (MAGICC)-- a simple climate model emulator that was, in part, developed through support of the EPA — to examine the climate impact of proposed regulat
Model for the Assessment of Greenhouse - gas Induced Climate Change (MAGICC)-- a
simple climate
model emulator that was, in part, developed through support of the EPA — to examine the climate impact of proposed regulat
model emulator that was, in part,
developed through support of the EPA — to examine the climate impact of proposed regulations.
Using a
simple, publically - available, climate
model emulator called MAGICC that was in part
developed through support of the EPA, we ran the numbers as to how much future temperature rise would be averted by a complete adoption and adherence to the EPA's new carbon dioxide restrictions *.
«True knowledge can never be gained by attributing «purpose» to phenomena», he wrote.47 To prove that Gaia is not a teleological theory Lovelock
developed a
simple computer
model consisting of a world dominated by one plant species, daisies.
In
developing my understanding of the Earth's systems, I
developed a couple of very
simple models to help me fathom the way the surface temperature stays fairly constant as the solar cycles wax and wane.
«A previously
developed simple statistical tool — the El Niño — Southern Oscillation Climatology and Persistence (ENSO — CLIPER)
model — is utilized as a baseline for determination of skill in forecasting this event.»
First, the complicated
models that
develop emissions scenarios don't seem to be necessary for forcing the climate
models; simply specifying a value of CO2 concentration (with the other greenhouse gases and anthropogenic aerosol) at 2100 along with a
simple time trajectory is sufficient to force the climate
model.
Groisman et al. (1999)
developed a
simple statistical
model of the frequency of daily precipitation based on the gamma distribution.
Report co-author Robert Fildes, a forecast researcher,
developing a
simple statistical
model that delivers better results when compared with previous climate forecasts, i.e. by adding certain data he has been able to match his figures more accurately with a historic forecast.
Simple energy
models such as the one presented seem much more useful in
developing a theoretical understanding of these processes which remain unsolved in a realistic understanding of the limits of current sceince.
Synapse has
developed a variety of mechanisms for evaluating emissions displaced by energy efficiency and renewable energy, from
simple diagnostic metrics to regulatory tools to complex evaluation
models.
Irannejad et al. (2003)
developed a statistical methodology to fit monthly fluxes from a large number of climate
models to a
simple linear statistical
model, depending on factors such as monthly net radiation and surface relative humidity.