Not exact matches
NeuroStemcell is focused on the identification and systematic
comparison of progenitor cell lines with the most favourable characteristics for mesDA and striatal GABAergic neuronal differentiation, generated either directly from human embryonic stem (ES) cells, from Neural Stem (NS) cells derived from ES cells or fetal brain, from induced Pluripotent Stem (iPS) cells or from in vitro short - term expanded neural progenitors from ventral midbrain grown as neurospheres (VMN, Ventral Midbrain Neurospheres) 4, and
perform rigorous and systematic testing of the most prominent candidate cells in appropriate animals
models.
These include using the same
model used to detect the planet instead to fit synthetic, planet - free data (with realistic covariance properties, and time sampling identical to the real data), and checking whether the «planet» is still detected; comparing the strength of the planetary signal with similar Keplerian signals injected into the original observations;
performing Bayesian
model comparisons between planet and no - planet
models; and checking how robust the planetary signal is to datapoints being removed from the observations.
The
comparison between
model results and robotic fish undulations was subsequently
performed to validate the ability of the robotic fish to reproduce carangiform swimming.
The statistical analysis of gene - families, resistance genes and mobile elements was
performed by ShotgunFunctionalizeR 1.03 using custom - made annotations and the Poisson
model for direct
comparisons [24].
HCZ Promise Academy students do
perform better than students of their backgrounds attending a New York City public school but the charter school at the top of the list is a KIPP school [18] which calls into
comparison two different
models of education and their abilities to create achievement for historically marginalized groups.
We spatially aggregate
model output and observations over the contiguous USA using data from 70 stations, and we
perform comparison at several temporal scales, including a climatic (30 - year) scale.
Not all that is
performed in
models is for the purpose of direct
comparison against observations.
In Phase II of AeroCom, a large - scale
model intercomparison was
performed to document the current state of OA
modeling in the global troposphere, evaluate the OA simulations by
comparison with observations, identify weaknesses that still exist in
models, explain the agreements and disagreements between
models and observations, and attempt to identify and analyze potential systematic biases in the
models.
Not only must the whole system
model perform reasonably well in
comparison with observation (both spatial and temporal), but so too must the component
models and the processes that are involved in the
models.
The climate feedbacks involved with these changes, which are key in understanding the climate system as a whole, include: + the importance of aerosol absorption on climate + the impact of aerosol deposition which affects biology and, hence, emissions of aerosols and aerosol precursors via organic nitrogen, organic phosphorus and iron fertilization + the importance of land use and land use changes on natural and anthropogenic aerosol sources + the SOA sources and impact on climate, with special attention on the impact human activities have on natural SOA formation In order to quantitatively answer such questions I
perform simulations of the past, present and future atmospheres, and make
comparisons with measurements and remote sensing data, all of which help understand, evaluate and improve the
model's parameterizations and performance, and our understanding of the Earth system.
PROFESSIONAL EXPERIENCE FLANDERS ELECTRIC, Miller, SD 6/2009 to Present Machinist • Set up machines according to specific instructions listed in the work order • Inspect parts to regulate configurations instruments • Operate machine tools such as lathes and grinders to produce metal parts • Review blueprints to determine types of orders and calculate places to bore and cut • Mark worksheets to show where cuts should be made and monitor and control feed rate • Ascertain that temperature controls are properly regulated and cutting speeds are adjusted • Fit cutting tools and ensure that dull tools are replaced in time • Check for accuracy of work by holding
comparisons between blueprints and actual
models • Verify settings by measuring positions, first run parts and sample work pieces • Document each action
performed on machines and create periodic reports to gauge success and conformity
Cortical analyses across the surface were
performed with general linear
models as implemented in FreeSurfer, and results were displayed on a semiinflated template brain that was thresholded by a conventional criterion for correction for multiple
comparisons (FDR at 5 % level)(58).
Finally, latent variables analyses were
performed which permit
comparison of different
models.