4 resultados para meson-exchange model
em Duke University
Resumo:
Terrestrial ecosystems, occupying more than 25% of the Earth's surface, can serve as
`biological valves' in regulating the anthropogenic emissions of atmospheric aerosol
particles and greenhouse gases (GHGs) as responses to their surrounding environments.
While the signicance of quantifying the exchange rates of GHGs and atmospheric
aerosol particles between the terrestrial biosphere and the atmosphere is
hardly questioned in many scientic elds, the progress in improving model predictability,
data interpretation or the combination of the two remains impeded by
the lack of precise framework elucidating their dynamic transport processes over a
wide range of spatiotemporal scales. The diculty in developing prognostic modeling
tools to quantify the source or sink strength of these atmospheric substances
can be further magnied by the fact that the climate system is also sensitive to the
feedback from terrestrial ecosystems forming the so-called `feedback cycle'. Hence,
the emergent need is to reduce uncertainties when assessing this complex and dynamic
feedback cycle that is necessary to support the decisions of mitigation and
adaptation policies associated with human activities (e.g., anthropogenic emission
controls and land use managements) under current and future climate regimes.
With the goal to improve the predictions for the biosphere-atmosphere exchange
of biologically active gases and atmospheric aerosol particles, the main focus of this
dissertation is on revising and up-scaling the biotic and abiotic transport processes
from leaf to canopy scales. The validity of previous modeling studies in determining
iv
the exchange rate of gases and particles is evaluated with detailed descriptions of their
limitations. Mechanistic-based modeling approaches along with empirical studies
across dierent scales are employed to rene the mathematical descriptions of surface
conductance responsible for gas and particle exchanges as commonly adopted by all
operational models. Specically, how variation in horizontal leaf area density within
the vegetated medium, leaf size and leaf microroughness impact the aerodynamic attributes
and thereby the ultrane particle collection eciency at the leaf/branch scale
is explored using wind tunnel experiments with interpretations by a porous media
model and a scaling analysis. A multi-layered and size-resolved second-order closure
model combined with particle
uxes and concentration measurements within and
above a forest is used to explore the particle transport processes within the canopy
sub-layer and the partitioning of particle deposition onto canopy medium and forest
oor. For gases, a modeling framework accounting for the leaf-level boundary layer
eects on the stomatal pathway for gas exchange is proposed and combined with sap
ux measurements in a wind tunnel to assess how leaf-level transpiration varies with
increasing wind speed. How exogenous environmental conditions and endogenous
soil-root-stem-leaf hydraulic and eco-physiological properties impact the above- and
below-ground water dynamics in the soil-plant system and shape plant responses
to droughts is assessed by a porous media model that accommodates the transient
water
ow within the plant vascular system and is coupled with the aforementioned
leaf-level gas exchange model and soil-root interaction model. It should be noted
that tackling all aspects of potential issues causing uncertainties in forecasting the
feedback cycle between terrestrial ecosystem and the climate is unrealistic in a single
dissertation but further research questions and opportunities based on the foundation
derived from this dissertation are also brie
y discussed.
Resumo:
Consistent with the implications from a simple asymmetric information model for the bid-ask spread, we present empirical evidence that the size of the bid-ask spread in the foreign exchange market is positively related to the underlying exchange rate uncertainty. The estimation results are based on an ordered probit analysis that captures the discreteness in the spread distribution, with the uncertainty of the spot exchange rate being quantified through a GARCH type model. The data sets consists of more than 300,000 continuously recorded Deutschemark/dollar quotes over the period from April 1989 to June 1989. © 1994.
Resumo:
Assuming that daily spot exchange rates follow a martingale process, we derive the implied time series process for the vector of 30-day forward rate forecast errors from using weekly data. The conditional second moment matrix of this vector is modelled as a multivariate generalized ARCH process. The estimated model is used to test the hypothesis that the risk premium is a linear function of the conditional variances and covariances as suggested by the standard asset pricing theory literature. Little supportt is found for this theory; instead lagged changes in the forward rate appear to be correlated with the 'risk premium.'. © 1990.
Resumo:
Fibronectin (FN) is a large extracellular matrix (ECM) protein that is made up of
type I (FNI), type II (FNII), & type III (FNIII) domains. It assembles into an insoluble
supra-‐‑molecular structure: the fibrillar FN matrix. FN fibrillogenesis is a cell‐‑mediated process, which is initiated when FN binds to integrins on the cell surface. The FN matrix plays an important role in cell migration, proliferation, signaling & adhesion. Despite decades of research, the FN matrix is one of the least understood supra-‐‑molecular protein assemblies. There have been several attempts to elucidate the exact mechanism of matrix assembly resulting in significant progress in the field but it is still unclear as to what are FN-‐‑FN interactions, the nature of these interactions and the domains of FN that
are in contact with each other. FN matrix fibrils are elastic in nature. Two models have been proposed to explain the elasticity of the fibrils. The first model: the ‘domain unfolding’ model postulates that the unraveling of FNIII domains under tension explains fibril elasticity.
The second model relies on the conformational change of FN from compact to extended to explain fibril elasticity. FN contain 15 FNIII domains, each a 7-‐‑strand beta sandwich. Earlier work from our lab used the technique of labeling a buried Cys to study the ‘domain unfolding’ model. They used mutant FNs containing a buried Cys in a single FNIII domain and found that 6 of the 15 FNIII domains label in matrix fibrils. Domain unfolding due to tension, matrix associated conformational changes or spontaneous folding and unfolding are all possible explanation for labeling of the buried Cys. The present study also uses the technique of labeling a buried Cys to address whether it is spontaneous folding and unfolding that labels FNIII domains in cell culture. We used thiol reactive DTNB to measure the kinetics of labeling of buried Cys in eleven FN III domains over a wide range of urea concentrations (0-‐‑9M). The kinetics data were globally fit using Mathematica. The results are equivalent to those of H-‐‑D exchange, and
provide a comprehensive analysis of stability and unfolding/folding kinetics of each
domain. For two of the six domains spontaneous folding and unfolding is possibly the reason for labeling in cell culture. For the rest of the four domains it is probably matrix associated conformational changes or tension induced unfolding.
A long-‐‑standing debate in the protein-‐‑folding field is whether unfolding rate
constants or folding rate constants correlate to the stability of a protein. FNIII domains all have the same ß sandwich structure but very different stabilities and amino acid sequences. Our study analyzed the kinetics of unfolding and folding and stabilities of eleven FNIII domains and our results show that folding rate constants for FNIII domains are relatively similar and the unfolding rates vary widely and correlate to stability. FN forms a fibrillar matrix and the FN-‐‑FN interactions during matrix fibril formation are not known. FNI 1-‐‑9 or the N-‐‑ terminal region is indispensible for matrix formation and its major binding partner has been shown to be FNIII 2. Earlier work from our lab, using FRET analysis showed that the interaction of FNI 1-‐‑9 with a destabilized FNIII 2 (missing the G strand, FNIII 2ΔG) reduces the FRET efficiency. This efficiency is restored in the presence of FUD (bacterial adhesion from S. pyogenes) that has been known to interact with FNI 1-‐‑9 via a tandem ß zipper. In the present study we
use FRET analysis and a series of deletion mutants of FNIII 2ΔG to study the shortest fragment of FNIII 2ΔG that is required to bind FNI 1-‐‑9. Our results presented here are qualitative and show that FNIII 2ΔC’EFG is the shortest fragment required to bind FNI 1-‐‑9. Deletion of one more strand abolishes the interaction with FNI 1-‐‑9.