Not exact matches
But as Temin and Vines show, history is much more usefully seen as the evolution of often
complex institutions — financial, political, legal, cultural, and so on — through which economic
behavior is mediated and which affect the ways in which recurring patterns of finance, commerce and trade unfold, and that without an understanding of history we lose so much complexity in our
models that we often end up making very obvious mistakes.
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.
Though simple, the
model gave rise to surprisingly
complex group
behaviors such as migration, combat, and neighborhood segregation.
When trying to
model how
behaviors and traits evolved, it helps to keep things simple — but the problem with friendship is that it involves a number of
complex behaviors.
«A classical framework doesn't apply to this
complex system,» said Sankaranarayanan, who helped to create
complex models of the perovskite's
behavior at Argonne's Center for Nanoscale Materials and Argonne Leadership Computing Facility, both DOE Office of Science User Facilities.
By using the smaller and less
complex cricket brain as a
model, Dr. Adamo hopes to uncover more broad patterns of nervous system function in both immune responses and, of course,
behavior.
To that end, researchers developed a
complex model that simulates the
behavior of a power distribution system, accounting for the SSTs, renewable energy sources, and energy storage.
«The existence of a motif means our predictive
model can be based on a relatively simple mathematical formula rather than on more
complex econometrics that try to account for all the different types of human
behavior,» says González, the Gilbert Winslow Career Development Assistant Professor in MIT's Department of Civil and Environmental Engineering (CEE).
Using an animal
model of this syndrome, scientists from the Florida campus of The Scripps Research Institute (TSRI) have discovered that mutations in PTEN affect the assembly of connections between two brain areas important for the processing of social cues: the prefrontal cortex, an area of the brain associated with
complex cognitive processes such as moderating social
behavior, and the amygdala, which plays a role in emotional processing.
Initiated in 2002, QuakeSim uses NASA remote sensing and other earthquake - related data to simulate and
model the
behavior of faults in 3 - D both individually and as part of
complex, interacting systems.
This work has improved the Laboratory's ability to
model the
behavior of
complex explosive systems.
«Less spatially detailed
models often struggle to simulate the jet stream's
complex behavior,» said Dr. Jian Lu, PNNL Earth systems scientist, lead author of the paper.
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.
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.
Major current projects include 1) Evaluating pesticide exposure and risk to wild bees and managed honey bees in different landscapes, 2) Combining empirical data with network
modeling to understand pathogen transmission in
complex plant - pollinator networks, and 3) Understanding how pesticide and pathogen stress influence bee
behavior and delivery of pollination services to agriculturally important crops.
Before starting to write my assignment on Chis - Square test, I had to understand different
behaviors of variables by using
complex mathematical and statistical
modeling.
«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.
Given a spatially and temporally sparse set of point measurements of the
behavior of a
complex but well understood system, the best way to estimate the overall system
behavior is arguably to build a robust
model of its physics and train that over time to reproduce the measurement field.
Since you elected not to address the issue of
models capability to represent critically - important glaciation - deglaciation episodes, now I have developed an impression that certain climate scentists have to learn a lot more about possibilities that are hidden in
behavior of a large and
complex dynamical system.
Another example can be drawn from the energy balance
model calculations for the snow / ice instability — despite all the details not in the original energy balance
model, much more
complex general circulation
models have now been shown to have the same
behavior — a citation from 1994 -LRB-!)
Mathematical
models allow scientists to simulate the
behavior of
complex systems (like climate) and explore how these systems respond to natural and human factors.
Oddly and despite being dynamically
complex systems themselves — the
models (and most of the scientists) have missed this element of dynamically
complex behavior.
Without doubt mathematical
models are acknowledged to have great limitations in predicting
behaviors of
complex systems and for this reason if
model outputs are to be used to support climate change policies all the limitations of
models should be acknowledged and understood.
I have a strong background and continuing personal interest in the
behavior and
modeling of
complex systems and in particular their transient
behavior.
This, plus the fact that remarkable close simulations of the time series are obtained with a
model consisting of a few nonlinear differential equations suggest the intriguing possibility that there are simple rules governing the
complex behavior of global paleoclimate.»
In a system such as the climate, we can never include enough variables to describe the actual system on all relevant length scales (e.g. the butterfly effect — MICROSCOPIC perturbations grow exponentially in time to drive the system to completely different states over macroscopic time) so the best that we can often do is
model it as a
complex nonlinear set of ordinary differential equations with stochastic noise terms — a generalized Langevin equation or generalized Master equation, as it were — and average
behaviors over what one hopes is a spanning set of butterfly - wing perturbations to assess whether or not the resulting system trajectories fill the available phase space uniformly or perhaps are restricted or constrained in some way.
However, my view is that these dynamic
models are sufficiently
complex that incorporating a new physical reality can substantially change the
behavior of these
models.
The
models can not be relied on to replicate the
behavior of the real climate, Specifically, the climate is an enormously
complex non-linear system, with a vast number of synergies, redundancies, and feedback loops internal to its operation.
You probably know this but it's worth pointing out that some more
complex models (e.g., CCSM3, e.g., Liu et al 2009) do not exhibit AMOC hysteresis
behavior (although see Hawkins et al., GRL).
In this way, the engine allows the user to
model more
complex conversational flows like switching of conversation topics during a chat or getting contextual information from for example website browsing
behavior.»
Category:
Modeling Social and Emotional Skills, Practicing Social and Emotional Skills Tags: Assertive skills, Communication,
Complex emotions, Emotional vocabulary, Hot chocolate breathing, Logical consequences, Managing anger,
Model calming down, Power struggles, Relationship skills, Revenge
behaviors, Self awareness, Teach ways to deal with anger
Summary: (To include comparison groups, outcomes, measures, notable limitations) This paper examined Combined Parent - Child Cognitive - Behavioral Therapy (CPC - CBT), a treatment
model that addresses the
complex needs of the parent who engages in physically abusive
behavior and the traumatized child.
Nested path analyses were used to evaluate increasingly
complex models of influence, including transactional relations between child and parent, effects from contextual strain to parenting and child adaptation, and reciprocal effects from child and parent
behavior to contextual strain.
Recent advances in our understanding of the
behavior of
complex natural systems via dynamic systems theory may shed new light on the process of strategic family therapy and help us understand more fully the underlying purposes of the preferred therapeutic stance and clinical interventions of this
model.