Subsequent
validation experiments in model organisms will test if and how the elements pinpointed by the computational approaches are involved in changing molecular and morphological phenotypes.
We included human dermal fibroblasts (Fib) in
these validation experiments in recognition of the overlapping marker profiles of pericytes and fibroblasts.
Not exact matches
Herbert Funsten is recognized as a world - renowned experimental space scientist and has led science instruments on NASA's Interstellar Boundary Explorer (IBEX) and Van Allen Probes missions and national security instruments on the DOE's SABRS
Validation Experiment (SAVE) and Space and Atmospheric Burst Reporting System (SABRS) payloads, while also participating
in NASA's Cassini, Two Wide - angle Imaging Neutral - atom Spectrometers (TWINS), Deep Space 1, Mars Odyssey, and Imager for Magnetopause - to - Aurora Global Exploration (IMAGE) missions.
In addition, the E3SM project benefits from - DOE programmatic collaborations including the Exascale Computing Project (ECP) and programs in Scientific Discovery Through Advanced Computing (SciDAC), Climate Model Development and Validation (CMDV), Atmospheric Radiation Measurement (ARM), Program for Climate Model Diagnosis and Intercomparison (PCMDI), International Land Model Benchmarking Project (iLAMB), Community Earth System Model Community Earth System Model (CESM) and Next Generation Ecosystem Experiments (NGEE) for the Arctic and the Tropic
In addition, the E3SM project benefits from - DOE programmatic collaborations including the Exascale Computing Project (ECP) and programs
in Scientific Discovery Through Advanced Computing (SciDAC), Climate Model Development and Validation (CMDV), Atmospheric Radiation Measurement (ARM), Program for Climate Model Diagnosis and Intercomparison (PCMDI), International Land Model Benchmarking Project (iLAMB), Community Earth System Model Community Earth System Model (CESM) and Next Generation Ecosystem Experiments (NGEE) for the Arctic and the Tropic
in Scientific Discovery Through Advanced Computing (SciDAC), Climate Model Development and
Validation (CMDV), Atmospheric Radiation Measurement (ARM), Program for Climate Model Diagnosis and Intercomparison (PCMDI), International Land Model Benchmarking Project (iLAMB), Community Earth System Model Community Earth System Model (CESM) and Next Generation Ecosystem
Experiments (NGEE) for the Arctic and the Tropics.
This was further supported by our biological
validation experiments where SPP1 expression was increased
in adipose tissue from obese versus nonobese NGT individuals.
«I already see that major fusion facilities
in the United States, as well as international tokamaks, are embarking on
experiments that are ideal
validation tools for theory and simulation,» he said.
In the final year of the project, we will use data from the experiments to scale - up the most cost - effective version of the READS program.The project has three phases: Phase 1 Validation, which includes testing READS in several districts including DPS and an effort to increase the effectiveness and cost effectiveness of the program; Phase 2 Validation, which involves expansion into more districts and many more schools and testing the cumulative impact of READS across summers; and Phase 3 Scale - Up, which involves expansion into 20 more district
In the final year of the project, we will use data from the
experiments to scale - up the most cost - effective version of the READS program.The project has three phases: Phase 1
Validation, which includes testing READS
in several districts including DPS and an effort to increase the effectiveness and cost effectiveness of the program; Phase 2 Validation, which involves expansion into more districts and many more schools and testing the cumulative impact of READS across summers; and Phase 3 Scale - Up, which involves expansion into 20 more district
in several districts including DPS and an effort to increase the effectiveness and cost effectiveness of the program; Phase 2
Validation, which involves expansion into more districts and many more schools and testing the cumulative impact of READS across summers; and Phase 3 Scale - Up, which involves expansion into 20 more districts.
Larger numbers of teachers would be included
in more promising Phase 2
validation experiments.
In such cases, validation experiments are done (and described in detail in the paper), wherein one part of the record (e.g. the earlier part) is used to calibrate the proxy data, and a reconstruction is independently performed over the other part of the record (e.g. the late part), where it can be directly compared against the part of the instrumental record not used in the calibration proces
In such cases,
validation experiments are done (and described
in detail in the paper), wherein one part of the record (e.g. the earlier part) is used to calibrate the proxy data, and a reconstruction is independently performed over the other part of the record (e.g. the late part), where it can be directly compared against the part of the instrumental record not used in the calibration proces
in detail
in the paper), wherein one part of the record (e.g. the earlier part) is used to calibrate the proxy data, and a reconstruction is independently performed over the other part of the record (e.g. the late part), where it can be directly compared against the part of the instrumental record not used in the calibration proces
in the paper), wherein one part of the record (e.g. the earlier part) is used to calibrate the proxy data, and a reconstruction is independently performed over the other part of the record (e.g. the late part), where it can be directly compared against the part of the instrumental record not used
in the calibration proces
in the calibration process.
This is true of the «EIV» reconstructions
in Mann et al (2008) for example shown above, where these
validation experiments were featured
in the main article (Figure 2 and surrounding discussion).
The same ideas can also be applied
in designing
validation experiments, where you choose test points that have low / high entropy
in their predictive distribution.
Given that global climate is not something we can perform
experiments on, is
validation possible even
in principle?
The only sane way the is diagnostic (checking if some global conservation laws are not broken by the model, — this can catch bugs and inadequacies of the numerical methods) and extensive
validation (this catch inadequacies
in modeling, which involves approximation and elimination of some factors, to obtain a tractable model, and is always present even for particle physics simulation, which directly use first principles (model an idealised version of an
experiment).