The team of professionals at Smart
Property Systems understands that there is a relationship established with the company by users of our products.
Not exact matches
If so, you'll want to
understand Rhode Island's
property tax
system so that you can know what to expect on your first
property tax bill.
Stream by Energy Profiles Limited (EPL) Stream is a comprehensive utility data management
system, which enables
property owners and managers to
understand their utility use and cost at both the portfolio and building level.
We may
understand that all
systems properties or invariances are restrictions upon pure possibility giving rise to specific configurations of mutually constraining elements.
Spelled out in a lengthy lead editorial entitled «Evangelicals in the Social Struggle,» as well as in books such as Aspects of Christian Social Ethics, Henry's
understanding of Christian social responsibility stressed (a) society's need for the spiritual regeneration of all men and women, (b) an interim social program of humanitarian care, ethical proclamation, and personal, structural application, and (c) a theory of limited government centering on certain «freedom rights,» e. g., the rights to public
property, free speech, and so on.18 Though the shape of this social ethic thus closely parallels that of the present editorial position of Moody Monthly, it must be distinguished from its counterpart by the time period involved (it pushed others like Moody Monthly into a more active involvement in the social arena), by the intensity of its commitment to social responsibility, by the sophistication of its insight into political theory and practice, and by its willingness to offer structural critique on the American political
system.
Shaw said it was his
understanding that if the district is dissolved, its
property and other assets would be divided among the three school districts in the park
system «s boundaries.
«We can contrast the orbits and
properties of the parent dwarf and its moon, to
understand the origin and history of the
system.
That question is central to
understanding the effects of ice sheet melting on ocean water
properties, circulation, and biological
systems, on scales from local to basinwide.
«The findings of this study help us comprehend the fundamental characteristics of the interfacial slip, and
understand various rheological phenomena and
properties exhibited by interfacial polymeric
systems,» says Professor Baig.
The moon appears to be a tranquil place, but modeling done by University of New Hampshire and NASA scientists suggests that, over the eons, periodic storms of solar energetic particles may have significantly altered the
properties of the soil in the moon's coldest craters through the process of sparking — a finding that could change our
understanding of the evolution of planetary surfaces in the solar
system.
Instead of making unrealistically simplistic assumptions about human behaviour and the
properties of markets, we can harness the number - crunching power of modern computing, coupled with our emerging
understanding of the physics of complex
systems, to rebuild economic theory from the bottom up.
To
understand this, one has to take into account the quantum
properties of the atoms: adding controlled noise to a quantum
system can result in an interference phenomenon that traps the atoms in a well - defined quantum state.
«We're pushing a frontier,» said Yodh, «We know that lots of
systems actually can have these
properties, and this research is important if you want to
understand what they're going to do.»
A sentence is
understood more easily if it describes what an agent (
System 2) does than if it describes what something is, what
properties it has.
In the new study, Kharrazi and researchers at IIASA applied an approach first developed to study ecological networks in order to better
understand the dynamics and
properties of the global commodity trade
system.
«Not only do we have a better
understanding of the physical
properties of Sierra Negra,» said Ebinger, «we have increased out knowledge of island volcano
systems, in general.»
Scientists at the Vienna University of Technology have now succeeded in studying the behaviour of a quantum physical multi-particle
system in order to
understand the emergence of statistical
properties.
Ultracold atoms in the so - called optical lattices, that are generated by crosswise superposition of laser beams, have been proven to be one of the most promising tools for simulating and
understanding the behaviour of many - body
systems such as solid crystals — for example with respect to their electric or magnetic
properties.
To gain a comprehensive
understanding of the somatosensory
system, and neuronal communication in general, researchers must develop methods and tools allowing them to gain more information about the fundamental
properties and characteristics of how these circuits change and develop over time.
Early in his career, he embraced
systems engineering — an interdisciplinary field focused on
understanding the general
properties common to all physical and societal
systems, and using that knowledge to exert control.
One example of this latter principle is the
property of robustness, or the ability of a complex biological
system to maintain stable function in the face of perturbation (Kitano, 2004), a
property that can not be predicted without
understanding the component parts and their (non ‐ linear) interactions.
However, in most situations occurring in nature particles interact with each other, which makes it challenging to
understand and calculate the angular momentum
properties even for small
systems.
I study the statistical
properties of extrasolar planetary
systems around stars of different masses, and combine these results with numerical simulations to better
understand their origins and habitability.
The latter would enable the most detailed possible analysis, providing a crucial link with remote spectroscopic observations and the compositions of meteorites in order to develop a much wider
understanding of these small bodies, their
properties, and what they can tell us about the evolution of the solar
system.
My research focuses on developing robust multiscale computational paradigms to model the structure -
property relations of minerals in order to develop a fundamental
understanding of the origins of water and organic materials in our Solar
System.
He continues to analyze data from that mission to
understand the
properties of planets and planetary
systems.
The size and spatial distributions of these families, along with their orbital
properties, composition, and internal structure play a key role in our
understanding of the formation and evolution of the solar
system.
The physical and dynamical
properties of these large icy planetoids add another puzzle piece to our
understanding of the formation and evolution of the solar
system.
The 2012 Kavli Prize laureates were selected for making fundamental contributions to our
understanding of the outer solar
system, the differences in material
properties between nano - and larger scales, and how the brain receives and responds to sensations such as sight, sound and touch.
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.
Understanding how gastric bypass surgery changes the
properties of nerve cells that help regulate the digestive
system could lead to new treatments that produce the same results without surgery.
This year's laureates were selected for making fundamental contributions to our
understanding of the outer solar
system, the differences in material
properties at nano - and larger scales, and how the brain receives and responds to sensations such as sight, sound and touch.
Genuine multi-particle entanglement can only be
understood as a
property of the overall
system of all particles concerned and not be explained by a combination of the subsystems being entangled.
Memory is a fundamental but poorly
understood property of a range of complex
systems, ranging from crumpled paper to glasses.
«This discovery brings essential information to
understand the
properties and formation of Mercury and, overall, contributes to
understand the processes that created the rocky planets in the Solar
System», says David Barrado, researcher at Centro de Astrobiologia (CSIC - INTA, Madrid).
To
understand the structure and dynamical
properties of such
systems, the research team headed by Ilya Shmulevich integrates data from a variety of measurements using models and techniques from mathematics, physics, and engineering.
REU participants will conduct original research via specially designed student projects within three main foci: 1) Microgel and Hydrogel Nanoparticles: Designing environmentally sensitive nanoparticles for a variety of applications and fundamental studies of volume phase transitions; 2) Anisotropic Soft Matter Thin Films: Driving self - assembly of soft matter to develop thin films with unique
properties tied to the shape anisotropy of the materials; and 3) Soft Matter Fluid Flow: Striving to better
understand and to improve mixing in liquid soft matter
systems and use liquid flow to test and
understand biological phenomena.
Aug. 31, 2017 - Thermal conductivity is one of the most crucial physical
properties of matter when it comes to
understanding heat transport, hydrodynamic evolution and energy balance in
systems ranging from astrophysical objects to fusion plasmas.
Stretch To - Go Stretch To - Go is a Fastt Math supplement that helps students deepen their
understanding of the base 10 number
system and master the
properties of addition, subtraction, multiplication and division.
There are four
properties in the draft that allow reading
systems to
understand that they are to render the ePUB with fixed layout.
Our Home Inspection report gives you a comprehensive
understanding of the visible condition of the
property across a dozen major categories: Exterior, Roof, Structure, Water Control
Systems, Insulation and Ventilation, Interior, Electrical, HVAC, Plumbing, Fuel Services, Appliances and Environmental
Systems.
The approximately 20 - year lag (between atmospheric CO2 concentration change and reaching equilibrium temperature) is an emerging
property (just like sensitivity) of the global climate
system in the GCM models used in the paper I linked to above, if I
understood it correctly.
My colleagues and I are continuing to explore sensitivities to choices made in estimating such PDFs of climate
system properties given their importance in
understanding potential risks of future climate change.
Cross Cutting Priority 1: (Integrated Global Environmental Observation and Data Management
System) focuses on developing a global - to - local environmental observation and data management
systems for the comprehensive, continuous monitoring of coupled ocean / atmospheric / land
systems that enhance NOAA's ability to protect lives,
property, expand economic opportunities,
understand climate variability, and promote healthy ecosystems.
Sensitivity can only be
understood in terms of emergent
properties — a
property of self - organising
systems.
I don't particuarly
understand your point — that they use «slowing down» and «noisy bifurcation» rather than some unspecified other
property of chaotic
systems?
This
system measures aerosol optical
properties to better
understand how particles interact with solar radiation and influence the Earth's radiation balance.
Incomplete
understanding of three key
properties of the climate
system — equilibrium climate sensitivity, rate of ocean heat uptake and historical aerosol forcing — and their underlying physical processes lead to uncertainties in our assessment of the global - mean temperature evolution in the twenty - first century 1,2 6.
It's done to
understand tiny portions of very complicated biogeochemical and fluidynamical
properties of the climate
system.
Based on the
understanding of both the physical processes that control key climate feedbacks (see Section 8.6.3), and also the origin of inter-model differences in the simulation of feedbacks (see Section 8.6.2), the following climate characteristics appear to be particularly important: (i) for the water vapour and lapse rate feedbacks, the response of upper - tropospheric RH and lapse rate to interannual or decadal changes in climate; (ii) for cloud feedbacks, the response of boundary - layer clouds and anvil clouds to a change in surface or atmospheric conditions and the change in cloud radiative
properties associated with a change in extratropical synoptic weather
systems; (iii) for snow albedo feedbacks, the relationship between surface air temperature and snow melt over northern land areas during spring and (iv) for sea ice feedbacks, the simulation of sea ice thickness.