Sentences with phrase «complex system being modeled»

There is a debate, however misguided you feel the other side may be, because some parts of the complex system being modeled are behaving in a manner that is somewhat confusing.

Not exact matches

Their models of linear development (most famously W.W. Roster's «five stages» of economic development) were gradually replaced by more complex analyses of economies as «systems», in which complex institutional constraints could distort or prevent convergence.

His ground breaking research on complex systems modelling of debt - deflation was awarded the eminent Revere Award from the Real World Economics Review, describing Keen as the economist «who first and most clearly anticipated and gave public warning of the Global Financial Collapse and whose work is most likely to prevent another GFC in the future».

Is it so complex that no system, scheme, or model can ever describe it completely?

I'm not saying that the Knicks would have the players to run these models as effectively as the elite teams, but the triangle is an overly complex system with a payoff lesser than that of more simplistic ones.

In the United States, we are consumers of healthcare: the care of our bodies is provided mostly by a medical model that is heavily influenced by a complex financial and bureaucratic system.

A similar technique was used to successfully predict the outcome of the 2012 US election, but the firm had to construct a new model for Britain's more complex 650 - constituency political system.

While several circulatory system models are used today in an attempt to better understand blood flow, they still don't account for the complex rheological behavior of blood.

While teaching physics at École Polytechnique in France, physicist Jean - Baptiste Masson used hair fibers as an example of a complex system that could be modeled simply.

Their model, which employs concepts from the physics of complex atomic systems, was developed by Didier Sornette of the Financial Crisis Observatory in Zurich, Switzerland, and Wei - Xing Zhou of the East China University of Science and Technology in Shanghai.

«Spin models are not only used in physics, but also to model other complex systems, such as neural networks, proteins or social networks.

We are next hoping to transfer this model to more complex food systems, such as batters for crêpes or puff pastry, in which dozens of chemical compounds come into play and affect the formation and properties of these networks of rigidity.

This field data is used by the physicists to model typical disturbance scenarios and to train the system with the aid of complex mathematical methods.

Three approaches were used to evaluate the outstanding «carbon budget» (the total amount of CO2 emissions compatible with a given global average warming) for 1.5 °C: re-assessing the evidence provided by complex Earth System Models, new experiments with an intermediate - complexity model, and evaluating the implications of current ranges of uncertainty in climate system properties using a simple System Models, new experiments with an intermediate - complexity model, and evaluating the implications of current ranges of uncertainty in climate system properties using a simple system properties using a simple model.

«This paper is another example of how surprisingly complex the climate system is, how interrelated or interconnected all the parts are, and how difficult it is to model correctly.»

«The way that computer systems learn these complex models these days is that you postulate a simpler model and then use it to approximate what you would get if you were able to deal with all the crazy nuances and complexities,» Campbell says.

The Nobel Prize in Chemistry was awarded jointly to Martin Karplus, Michael Levitt and Arieh Warshel for the development of multiscale models for complex chemical systems.

This has been recognized with the award of the 2013 Nobel Prize in chemistry for the development of multi-scale models of complex chemical systems.

«With the advances in computational capacities, it is now possible to develop digital 3 - D models of complex physiological systems and track transport processes therein through computational fluid mechanics.»

The nerve cord in Drosophila has been used as a model system for over 30 years to understand how neuroblasts generate a highly complex but organized tissue.

Moreover, the model can be generalized to add another path toward the solution of complex classical computational problems by taking advantage of quantum mechanical parallelism — the fact that, according to quantum mechanics, a system can be in many classical states at the same time.

We had a sense that we would have a model to study complex systems that would be a lot more fun than particle systems,» Chave says.

Though other mathematical models are capable of simulating complex phenomena, only Darwin's approach shows how certain complex systems not only arise but also adapt over time to the constraints imposed by their environment, as living systems do.

For much of the global ocean the coarser resolution is okay, but when you are studying a unique location like the Gulf of Maine, with its complex bathymetry of deep basins, channels, and shallow banks combined with its location near the intersection of two major ocean current systems, the output from the coarser models can be misleading.»

A new study using complex computational models finds that smart solid - state transformers (SSTs) could be used to make a stable, reliable «smart grid» — allowing the power distribution system to route renewable energy from homes and businesses into the power grid.

The reservoir computing system was able to model the complex function with minimal error.

By encoding two extra synthetic dimensions into the complex geometric structure of the waveguides, the researchers were able to model the two - dimensional system as having a total of four spatial dimensions.

These systems are made up of complex algorithms modeled on the transmission of signals between neurons in the brain.

The methodology is demonstrated on two model systems: the time - dependent spontaneous dissociation of photosynthetic light - harvesting antenna complexes and direct observation of DNA strands binding and unbinding in solution.

moreover, with some adjustments models, based on electrons on helium systems can be adapted to more complex systems, such as two - dimensional semiconductors.

This approach is often used to model large and complex systems, such as those in weather forecasts.

The article, which is authored by an interdisciplinary group of scientists from the fields of economics and banking, ecology, epidemiology, physics, computer science and sociology argues that applications of complex networks, agent - based models and laboratory experiments offer great potential to better grasp complex financial economic systems.

Much of complexity theory is grounded in the manipulation of various kinds of mathematical models of complex dynamical systems.

Specific Aim 3: Develop a pilot systems dynamic model detailing the complex system underlying syndemic relations between IPV, alcohol misuse, unplanned pregnancy and AEP for rural AI women within a non-tribal community.

Model systems, such as the mammalian gut bacterium E. coli for microbiology and the fruit fly for biomedicine, have been invaluable for deciphering complex biology.

Developing robust model systems is complex and risky because the work is difficult and success is not guaranteed.

There is also evidence that they can occur in vivo in complex model systems and animals.

Unfortunately, many of these cloud properties must be estimated through parameterization, a technique used to represent complex small - scale systems, because climate model resolution is too coarse to resolve small - scale cloud features.

The CCP is engaged in numerous multidisciplinary projects in other model systems (e.g. fly, zebrafish, yeast) that aim to determine how complex molecular circuits function and evolve in response to genetic and environmental changes, cellular differentiation, evolution and disease.

Current in vitro hematopoiesis models fail to demonstrate the cellular diversity and complex functions of living bone marrow; hence, most translational studies relevant to the hematologic system are conducted in live animals.

All models have limits - uncertainties - for they are modelling complex systems.

Taking advantage of fly genetics The research will combine the strength of the fly system (animals that are short lived but complex enough to model regenerative activity in vertebrates) with genetic studies in mice to understand the role of mTOR signaling in maintaining the health of adult stem cells in both species.

They compared the empirical data to the model simulations of the MJO, where much of the MJO processes are currently represented with parameterizations, a way to express complex climate systems in a computationally efficient way.

Biocellion is being used to model a variety of biological system behaviors, such as biofilm formation and wrinkling, microbial growth dynamics in complex soil structure, brain tumor growth and invasion, formation of complex bacterial colonies, and changes in blood vessels and skin cells.

Finally, in a collaboration with Frank Jülicher's group at the Max Planck Institute for the Physics of Complex Systems, we are using these data to develop physical models that will help us understand how local cellular adhesive, elastic and contractile properties are influenced by PCP proteins and other molecules, and how they combine to produce specific packing geometries at a global level.

My research focused on experimental studies of fundamental model systems that are necessary to understand complex processes that take place in heterogeneous catalysis and environment.

Predicting climate change is one of the most complex problems facing scientists who have been striving to understand climate system behavior and improve Earth system models for years.

The study is commissioned by the U.S. National Geospatial Agency to help U.S. Department of Defense agencies understand and model the interaction of complex adaptive systems such as natural ecosystems, individual organisms, and human communities, organizations and families.

These high - performance computing systems, capable of a billion billion calculations per second, will be used to tackle complex problems by modeling large - scale systems.

Research on the CREB gene emphasizes the reductionist approach, in which elements of the complex phenomenon of memory formation are reduced to mutations in a single gene and studied in a simple model system, the fruit fly Drosophila