The long - term evolution of an ice sheet «is a very
complex modeling problem.
Not exact matches
I do not propose a solution to the
complex problem of how the Holy Land is to be shared, but I do want to suggest that those who are concerned with the religious nature of this conflict should explore an alternative theological
model, one that played a part in an earlier chapter of Zionism.
The ecological crisis as a
complex issue includes various
problems such as poor technology, economic and developmental
model.
Bolton combined these human hearing
models with
model checking (an automated, computational approach for finding
problems in
complex systems) to assess masking in a common patient - monitoring device with six different alarms.
Later, they found that membralin - dependent ERAD breaks down a protein that's part of the gamma secretase enzyme
complex, and that reducing the amount of membralin in a mouse
model of Alzheimer's exacerbates neurodegeneration and memory
problems.
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.
«The
problem is that nature is infinitely
complex, so any
model has to simplify.
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.
«What is important in our study is that we proved that there was a unique and consistent solution to the fitting
problem, something that has never before been achieved for a realistic
complex model of gene regulation,» stated Dr. Jaeger.
Using computer
modeling, optimization software and
complex algorithms, the team set out to build metadevices that could bend or focus millimeter waves but that avoided
problems with conventional approaches, such low efficiency, narrow bandwidth and the bulkiness of the devices.
«One of the biggest challenge for such a
complex problem is to find the right balance between optimizing the simulation code and the development of the astrophysical
modelling,» explains Klaus Dolag.
Electronic circuits based on neurobiological
models are able to solve
complex problems rapidly.
«Instead of treating all patients as highly
complex and requiring unique
problem - solving, we found that 67 percent of our patients would be amenable to a new care
model that achieved a high degree of predictability.»
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.
Rational design approaches to this
problem have often used
complex computational methods, have targeted simple
model reactions and have typically led to low levels of catalysis1.
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.
He has also been very active in
modelling complex problems such as proterties of castings, and optimisation of welding processes, using integrated
models of the different physical phenomena.
The incidence of chronic disease has reached epidemic proportions; functional medicine offers a more effective approach for the prevention and treatment of
complex, chronic health
problems than the acute - care
model that most health services are still based on,» Jones added.
This way of thinking might be much more appropriate when it comes to analyzing current economic
problems like the highly
complex phenomenon of the financial crisis of 2008 than the former neoclassical
models, because the latter seem in complete lack of practical applicability.
Performance tasks may require students to present supporting evidence in an argument, conduct a controlled experiment, solve a
complex problem, or build a
model.
Performance tasks may require students to make an argument with supporting evidence, conduct a controlled experiment, solve a
complex problem, or build a
model.
Bar
models can be a versatile tool for children, to help them illustrate basic concepts and solve
complex word
problems.
Chapter 5 explains and discusses how the
Model Method is used for solving structurally
complex word
problems at the primary level.
«We've spent a long time as a society trying to solve social
complex problems with isolated, simple programs,» says Bill Crim, CEO of the United Way of Salt Lake County, which is heavily invested in the
model.
In recent decades, as learning and
complex thinking skills have become more important for us to develop the academic and
problem - solving skills that lead to good jobs and social opportunity, the CTS education
model is failing our society.
These employers are looking for workers who show initiative to meet
problems head on, demonstrate ingenuity to locate unique solutions, and collaborate with others to develop
complex integrated thinking
models.
A feeding puzzle can be any toy or object that can contain food and requires the pet to work to find a way to get to that food.3 A wide variety of commercial feeding puzzles from companies such as Kong, Premier, and Nina Ottosson is available at pet stores and online, ranging from relatively simple toys that scatter food as they are «hunted» to
complex, expensive
models that require
problem solving (FIGURE 1).
Inspired by the mathematical equations, diagrams, maps, and
models used by engineers and inventors that attempt to give visual form to
complex thought and
problem - solving endeavors, the artists in this exhibition employ similar analytical and pictorial strategies, creating works of art that question or subvert notions of stability and utility long associated with technology.
To begin I note the previous article: «
Complex problems often can not simply be answered with computer
models.
To be clear, this is an important
problem, and the uncertainties inherent in
modelling a
complex interacting system of chemistry and dynamics are legion.
It's hilarious how he makes
complex assertions about
problems with the representation of the vertical mixing structure etc. in other
models, based on what appears to be a 1st order box
model.
I think I am seeing the climate
models now as a way to attack
complex problems by taking many assumptions and variables and stringing them together.
So it seems to me that the simple way of communicating a
complex problem has led to several fallacies becoming fixed in the discussions of the real
problem; (1) the Earth is a black body, (2) with no materials either surrounding the systems or in the systems, (3) in radiative energy transport equilibrium, (4) response is chaotic solely based on extremely rough appeal to temporal - based chaotic response, (5) but at the same time exhibits trends, (6) but at the same time averages of chaotic response are not chaotic, (7) the mathematical
model is a boundary value
problem yet it is solved in the time domain, (8) absolutely all that matters is the incoming radiative energy at the TOA and the outgoing radiative energy at the Earth's surface, (9) all the physical phenomena and processes that are occurring between the TOA and the surface along with all the materials within the subsystems can be ignored, (10) including all other activities of human kind save for our contributions of CO2 to the atmosphere, (11) neglecting to mention that if these were true there would be no
problem yet we continue to expend time and money working on the
problem.
As I explain immediately above, the surface temps usually used are the output of
complex statistical
models which have lots of
problems.
It will be couched in terms like «we suspected all along that there were
problems with the
models but it took us 25 years to tease this
complex puzzle apart, and thanks to our devoted and diligent research we have now come to understand some of those weaknesses in the early theory.
Is your
problem with the
models that the system is too
complex to predict or that climate scientists are biasing the
models in order to obtain the outcome they desire?
The story discusses using
models to develop «
complex solutions to
complex problems» and notes the utility of C - ROADS: «having the capacity to accurately predict the utility of proposed policy — whether it be domestic legislature -LSB-...]
While I can't speak for Dr. Curry, my interpretation of her remarks re: climate being a
problem is that it is a massively
complex, chaotic, non-linear coupled system that is nearly if not absolutely impossible to
model with any real precision.
If you read Weaver and Ramanathan (1995) you can see that this isn't an attempt to solve some «fundamental
problem ``, but simply an attempt to make a simple
model slightly more useful without getting too
complex.
I accept that there are big
problems with
modeling something as
complex as the climate.
This
problem is significantly more
complex than a Bayesian analysis of the 22 contributing
models to the Intergovernmental Panel on Climate Change (IPCC) Fourth Assessment Report.
And while many of our interviewees came to McDermott with a specific practice in mind, Coleman will be pushing a more collaborative
model of specialization: «If you want to be good you've got to be a specialist, but you also need to learn to work in teams as our clients»
problems are becoming increasingly
complex and cross all kinds of practice groups.»
[Another] source of opportunity lies in collaboration with other lawyers and other professionals, in recognition of the fact that clients»
problems are often
complex, polyvalent and incapable of solution on uniform cookie - cutter
models.
The online gaming industry, in particular, the indie game developers have been facing
problems like high development costs because of game's publication on popular platforms, difficulties in getting and retaining the players,
complex revenue
models and player's limitations.
«Although they have less
complex hardware than the iPhone X, both of Google's new Pixel 2 smartphone
models have had many more teething
problems than Apple has experienced on iPhone X demonstrating the challenges ahead for Google,» said Fogg.
• Exceptional mechanical aptitude aimed at controlling and operating
complex machinery • Deep technical knowledge of CAD / CAM technology and how it is used for machine operations • Great physical stamina and dexterity to perform repetitive work activities and movements • Well - versed in reading and interpreting blueprints with a view to understand machine schematics and models • Demonstrated ability to learn new machine operations and adjust machine parts to meet specific instructions • Capable of working in a high noise environment • Able to monitor and assess performance of machinery and make needed adjustments • Proven ability to perform quality control analysis by conducting tests and inspections • Exceptional time management skills aimed at ensuring that machine operations are carried out in a time efficient manner • Excellent judgment and decision making skills; ability to consider costs and benefits of optimal machine operations • Critical thinking abilities aimed at identifying alternative solutions to machine operation problems • Complex problem solving skills targeted at evaluating possible machine operational issues • Able to plan, organize and schedule machine operations in sync with production agendas • Track record of prioritizing work activities in accordance to scheduled operating precedence • Skilled at dismantling, repairing and maintaining equipment • Knowledge of operating hand and power tools used in the productio
complex machinery • Deep technical knowledge of CAD / CAM technology and how it is used for machine operations • Great physical stamina and dexterity to perform repetitive work activities and movements • Well - versed in reading and interpreting blueprints with a view to understand machine schematics and
models • Demonstrated ability to learn new machine operations and adjust machine parts to meet specific instructions • Capable of working in a high noise environment • Able to monitor and assess performance of machinery and make needed adjustments • Proven ability to perform quality control analysis by conducting tests and inspections • Exceptional time management skills aimed at ensuring that machine operations are carried out in a time efficient manner • Excellent judgment and decision making skills; ability to consider costs and benefits of optimal machine operations • Critical thinking abilities aimed at identifying alternative solutions to machine operation
problems •
Complex problem solving skills targeted at evaluating possible machine operational issues • Able to plan, organize and schedule machine operations in sync with production agendas • Track record of prioritizing work activities in accordance to scheduled operating precedence • Skilled at dismantling, repairing and maintaining equipment • Knowledge of operating hand and power tools used in the productio
Complex problem solving skills targeted at evaluating possible machine operational issues • Able to plan, organize and schedule machine operations in sync with production agendas • Track record of prioritizing work activities in accordance to scheduled operating precedence • Skilled at dismantling, repairing and maintaining equipment • Knowledge of operating hand and power tools used in the production trade
Experience with analog design, power system design that involves
complex power analysis,
modeling of generators, transformers and transmission lines with ability to assess steady - state real and reactive power flow
problems, economic dispatch, faults, sequenced networks and P - V and Q - V analysis for voltage stability margins.
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The school believes that this
model better prepares students for real - world challenges, since modern workplaces are increasingly collaborative and involve
complex, interdisciplinary
problem solving.