Sentences with phrase «interactions as a model system»

Microfabricated Channel Array Electrophoresis for Characterization and Screening of Enzymes Using RGS - G Protein Interactions as a Model System.

Not exact matches

«This camera has the potential to greatly enhance our understanding of very fast biological interactions and chemical processes that will allow us to build better models of complex, dynamical systems such as cellular respiration, or to help doctors better deliver and monitor light - based therapies,» says Richard Conroy, Ph.D., program director for Optical Imaging at NIBIB.

«Liverworts are showing great promise as a model plant system and this discovery that they can be colonised by pathogens of flowering plants makes them a valuable model plant to continue research into plant - microbe interactions.»

Systems biology research will aim to identify and validate mathematical models that can accurately predict interactions between immune system components in relation to vaccination, as well as develop state - of - the - art methods for the structural and functional analysis of vaccine candidates.

The Polonis lab has also employed both cell line - based model systems, as well as primary cell types from uninfected humans, to investigate virus - antibody - host cell interactions and cross-subtype reactivities amongst the major subtypes of the HIV pandemic.

Mineralized human primary osteoblast matrices as a model system to analyse interactions of prostate cancer cells with the bone microenvironment.

-- 7) Forest models for Montana that account for changes in both climate and resulting vegetation distribution and patterns; 8) Models that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adaptmodels for Montana that account for changes in both climate and resulting vegetation distribution and patterns; 8) Models that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adaptModels that account for interactions and feedbacks in climate - related impacts to forests (e.g., changes in mortality from both direct increases in warming and increased fire risk as a result of warming); 9) Systems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adapSystems thinking and modeling regarding climate effects on understory vegetation and interactions with forest trees; 10) Discussion of climate effects on urban forests and impacts to cityscapes and livability; 11) Monitoring and time - series data to inform adaptive management efforts (i.e., to determine outcome of a management action and, based on that outcome, chart future course of action); 12) Detailed decision support systems to provide guidance for managing for adapsystems to provide guidance for managing for adaptation.

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.

No matter how powerful the computer used or how impressive the model output, any model of a natural system is only as good as the authors» understanding of the interaction between the physical laws that define their subject and the potential of simple small - scale interactions to produce large - scale complexity, more readily summarised as:

Proposed campaigns should focus on research that addresses the ARM mission of improving the understanding and representation of clouds and aerosols in climate and earth system models, as well as their interactions and coupling with Earth's surface.

tomato as this process results in bacterial speck, an economically important disease, and also serves as a powerful model system for understanding fundamental mechanisms involved in plant - pathogen interactions.

Since the objective is a model of all the interactions in a system, the experimental techniques that most suit systems biology are those that are system - wide and attempt to be as complete as possible.

Hale says that their model of Charon / Pluto interaction is valuable because it helps us look back in time at the chemicals present when our Solar System was formed, as Pluto hasn't had its atmosphere blasted away by either the extreme heat of the Sun or its solar wind.

Researchers use a variety of information and tools, such as mathematical modeling, to describe the complex interactions among components of a biological system and make predictions that help guide and further refine experimental science.

Dr. Locksley's laboratory focuses on tracking cytokine expression in model systems, as a mechanism to investigate complex functional interactions between innate and adaptive cells in the immune system.

Specifically to: 1) collaborate with Crittenton Women's Union (CWU) to create video resources that demonstrate its family skill - building model as a means of building adult capabilities to improve child outcomes; 2) create an initial set of materials for practitioners and leaders of family service - provision systems to be used with caregivers to improve serve - and - return interaction as well as self - regulation and executive function skills; and 3) test these materials as part of a qualitative needs assessment of practitioners who wish to build the capabilities of adults who care for children birth - to - five, with an emphasis on birth - to - three.

However, current forecast systems have limited ability on these timescales because models for such climate forecasts must take into account complex interactions among the ocean, atmosphere, and land surface, as well as processes that can be difficult to represent realistically.

The ARM Climate Research Facility, a DOE scientific user facility, provides the climate research community with strategically located in situ and remote - sensing observatories designed to improve the understanding and representation, in climate and earth system models, of clouds and aerosols as well as their interactions and coupling with the Earth's surface.

Actually the reverse is true: the more components we have, the more we will have to combine, the more interactions there will be that we do not really understand, the more complex the system becomes to undertand and model as it seemingly acts independently of all the rules we developed that it is supposed to follow and refuses to obey.

Berkeley Lab researchers helped develop the first computational model to accurately predict the interactions between flue gases and a special variety of the carbon dioxide - capturing molecular systems known as metal - organic frameworks (MOFs).

While the primary contribution is in improving our ability to anticipate how earth system interactions will modulate the rate of increase of carbon dioxide in the atmosphere, the fact that the models require simulation of land and ocean ecosystems make them extremely valuable for a range of applications in ecosystem impacts and feedbacks as well.

I model the system as being a complex mixture of interconnected parts with a myriad of different time constants affecting their interactions.

That you have characterised their cause as magnification of small changes by system interactions doesn't rebut this view — time scale is a very slippery customer and finding the most accurate time fit for cycles of complex interactions is likely to take much longer than 30 years (the preferred time grab so far for AGW modeling)

Using atmospheric general - circulation models, as well as coupled ocean - atmosphere models, he investigates the interactions between large - scale climate systems such as ocean and wind currents to understand natural variability and how climate responds to human - made forcings.

The ability of dynamic models to capture various interactions of complex systems, their potential to adapt and evolve as the real system changes and / or the level of the modelers» understanding of the real system improves, their ability to model coupled processes of different temporal and spatial resolutions and scales, and their flexibility to incorporate and / or couple to models based on other approaches (such as agent - based modeling, stochastic modeling, etc.) render them as a versatile and efficient tool to model coupled Earth — Human Systems [190,191,19systems, their potential to adapt and evolve as the real system changes and / or the level of the modelers» understanding of the real system improves, their ability to model coupled processes of different temporal and spatial resolutions and scales, and their flexibility to incorporate and / or couple to models based on other approaches (such as agent - based modeling, stochastic modeling, etc.) render them as a versatile and efficient tool to model coupled Earth — Human Systems [190,191,19Systems [190,191,192,193].

Therapeutic interventions with infants and families (including neurodevelopmental models of intervention, dyadic and family systems psychotherapies, such as child - parent psychotherapy, parent - child interaction therapy, DIR / Floortime; therapeutic use of videotape with families, Early Start Denver Model, and more)

In humans, both the HPA system and the autonomic nervous system show developmental changes in infancy, with the HPA axis becoming organized between 2 and 6 months of age and the autonomic nervous system demonstrating relative stability by 6 to 12 months of age.63 The HPA axis in particular has been shown to be highly responsive to child - caregiver interactions, with sensitive caregiving programming the HPA axis to become an effective physiological regulator of stress and insensitive caregiving promoting hyperreactive or hyporeactive HPA systems.17 Several animal models as well as human studies also support the connection between caregiver experiences in early postnatal life and alterations of autonomic nervous system balance.63 - 65 Furthermore, children who have a history of sensitive caregiving are more likely to demonstrate optimal affective and behavioral strategies for coping with stress.66, 67 Therefore, children with histories of supportive, sensitive caregiving in early development may be better able to self - regulate their physiological, affective, and behavioral responses to environmental stressors and, consequently, less likely to manifest disturbed HPA and autonomic reactivity that put them at risk for stress - related illnesses such as asthma.

It is a systemic couple's therapy, based upon the sequential, time - series, and mathematical modeling of actual interaction patterns that describe the relationship as a system.