An accurate estimation of biomass burning emissions is partially limited by the lack of knowledge of fire burning phase (smoldering vs. flaming). In recent years, several fire detection products have been developed to provide information of fire radiative power (FRP), location, size, and temperature of fire pixels, but no information regarding fire burning phase is retrieved. The Day-Night band (DNB) aboard Visible Infrared Imaging Radiometer Suite (VIIRS) is sensitive to visible light from flaming fires in nighttime scenes. In contrast, VIIRS 4 mu m moderate resolution band #13 (M13), though capable of detecting fires at all phases, has no direct sensitivity for discerning fire phase. However, the hybrid usage of VIIRS DNB and M-bands data is hampered by their different scanning technology and spatial resolution. In this study, we present a novel method to rapidly and accurately resample DNB pixel radiances to the footprint of M-band pixels, accounting for onboard detector aggregation schemes and bowtie effect removals. The visible energy fraction (VEF) is subsequently introduced as an indicator of fire burning phase. VEF is calculated as the ratio of visible light power (VLP) to FRP for each fire pixel retrieved from the VIIRS 750 m active fire product. A global distribution of VEF values is quantitatively obtained, showing smaller VEF values in regions with mostly smoldering wildfires, such as peatland fires in Indonesia, larger VEF values in regions with flaming wildfires over grasslands and savannas in the sub-Sahelian region, and the largest VEF values associated with gas flaring in the Middle East. Mean VEF for different land cover types or regions is highly correlated with modified combustion efficiency (MCE). These results, together with a case study of the 2018 California Camp Fire, show that the VEF has the potential to be an indicator of fire combustion phase for each fire pixel, appropriate for estimating emission factors at the satellite pixel level.

A new algorithm, using the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite reflectance and aerosol single scattering properties simulated from a chemistry transport model (GEOS-Chem), is developed to retrieve aerosol optical thickness (AOT) over land in China during the spring dust season. The algorithm first uses a dynamic lower envelope approach to sample the MODIS dark-pixel reflectance data in low AOT conditions, to derive the local surface visible (0.65 mu m)/near infrared (NIR, 2.1 mu m) reflectance ratio. Joint retrievals of AOT at 0.65 mu m and surface reflectance at 2.1 mu m are then performed, based on the time, location, and spectral-dependent single scattering properties of the dusty atmosphere as simulated by the GEOS-Chem. A linearized vector radiative transfer model (VLIDORT) that simultaneously computes the top-of-atmosphere reflectance and its Jacobian with respect to AOT, is used in the forward component of the inversion of MODIS reflectance to AOT. Comparison of retrieved AOT results in April and May of 2008 with AERONET observations shows a strong correlation (R = 0.83), with small bias (0.01), and small RMSE (0.17); the figures are a substantial improvement over corresponding values obtained with the MODIS Collection 5 AOT algorithm for the same study region and time period. The small bias is partially due to the consideration of dust effect at 2.1 mu m channel, without which the bias is -0.05. The surface PM10 (particulate matter with diameter less than 10 mu m) concentrations derived using this improved AOT retrieval show better agreement with ground observations than those derived from GEOS-Chem simulations alone, or those inferred from the MODIS Collection 5 AOT. This study underscores the value of using satellite reflectance to improve the air quality modeling and monitoring. (C) 2010 Elsevier Inc. All rights reserved.

The aerosol vertical distribution is an important factor in determining the relationship between satellite retrieved aerosol optical depth (AOD) and ground-level fine particle pollution concentrations. We evaluate how aerosol profiles measured by ground-based lidar and simulated by models can help improve the association between AOD retrieved by the Multi-angle Imaging Spectroradiometer (MISR) and fine particle sulfate (SO4) concentrations using matched data at two lidar sites. At the Goddard Space Flight Center (GSFC) site, both lidar and model aerosol profiles marginally improve the association between SO4 concentrations and MISR fractional AODs, as the correlation coefficient between cross-validation (CV) and observed SO4 concentrations changes from 0.87 for the no-scaling model to 0.88 for models scaled with aerosol vertical profiles. At the GSFC site, a large amount of urban aerosols resides in the well-mixed boundary layer so the column fractional AODs are already excellent indicators of ground-level particle pollution. In contrast, at the Atmospheric Radiation Measurement Program (ARM) site with relatively low aerosol loadings, scaling substantially improves model performance. The correlation coefficient between CV and observed SO4 concentrations is increased from 0.58 for the no-scaling model to 0.76 in the GEOS-Chem scaling model, and the model bias is reduced from 17% to 9%. In summary, despite the inaccuracy due to the coarse horizontal resolution and the challenges of simulating turbulent mixing in the boundary layer, GEOS-Chem simulated aerosol profiles can still improve methods for estimating surface aerosol (504) mass from satellite-based AODs, particularly in rural areas where aerosols in the free troposphere and any long-range transport of aerosols can significantly contribute to the column AOD. (C) 2010 Elsevier Inc. All rights reserved.

Oligomeric beta-amyloid (A beta) has recently been linked to synaptic plasticity deficits, which play a major role in progressive cognitive decline in Alzheimer's disease (AD). Here we present evidence that chronic oral administration of carvedilol, a nonselective beta-adrenergic receptor blocker, significantly attenuates brain oligomeric beta-amyloid content and cognitive deterioration in 2 independent AD mouse models. We found that carvedilol treatment significantly improved neuronal transmission, and that this improvement was associated with the maintenance of number of the less stable learning thin spines in the brains of AD mice. Our novel observation that carvedilol interferes with the neuropathologic, biochemical, and electrophysiological mechanisms underlying cognitive deterioration in AD supports the potential development of carvedilol as a treatment for AD. (C) 2011 Elsevier Inc. All rights reserved.

Tauopathies are characterized by progressive neurodegeneration caused by intracellular accumulation of hyperphosphorylated tau protein aggregates in the brain. The present study was designed to test whether a grape seed polyphenolic extract (GSPE) previously shown to inhibit tau protein aggregation in vitro could benefit tau-mediated neuropathology and behavior deficits in JNPL3 transgenic mice expressing a human tau protein containing the P301L mutation. Nine-month-old JNPL3 mice were treated with GSPE delivered through their drinking water for 6 months. We found that GSPE treatment significantly reduced the number of motor neurons immunoreactive for hyperphosphorylated and conformationally-modified tau in the ventral horns of the spinal cord identified using AT100, PHF-1, AT8, and Alz50 tau antibodies. This coincided with a drastically reduced level of hyperphosphorylated and sarcosyl-insoluble tau in spinal cord fractions. Furthermore, the reduction of tau pathology was accompanied by an improvement in the motor function assessed by a wire hang test. Collectively, our results suggest that GSPE can interfere with tau-mediated neurodegenerative mechanisms and ameliorate neurodegenerative phenotype in an animal model of tauopathy. Our studies support further evaluation of GSPE for preventing and/or treating of tauopathies in humans. (C) 2012 Elsevier Inc. All rights reserved.

Oligomeric assembly of Rev on the Rev response element (RRE) is essential for the nuclear export of unspliced and singly spliced human immunodeficiency virus type 1 viral mRNA transcripts. Several host factors, including the human DEAD box protein DDX1, are also known to be required for efficient Rev function. In this study, spontaneous assembly and dissociation of individual Rev-RRE complexes in the presence or absence of DDX1 were observed in real time via single-molecule total internal reflection fluorescence microscopy. Binding of up to eight fluorescently labeled Rev monomers to a single RRE molecule was visualized, and the event frequencies and corresponding binding and dissociation rates for the different Rev-RRE stoichiometries were determined. The presence of DDX1 eliminated a second kinetic phase present during the initial Rev binding step, attributed to nonproductive nucleation events, resulting in increased occurrence of higher-order Rev-RRE stoichiometries. This effect was further enhanced upon the addition of a non-hydrolyzable ATP analog (adenylyl-imidophosphate), whereas ADP had no effect beyond that of DDX1 alone. Notably, the first three Rev monomer binding events were accelerated in the presence of DDX1 and adenylyl-imidophosphate, while the dissociation rates remained unchanged. Measurements performed across a range of DDX1 concentrations suggest that DDX1 targets Rev rather than the RRE to promote oligomeric assembly. Moreover, DDX1 is able to restore the oligomerization activity of a Rev mutant that is otherwise unable to assemble on the RRE beyond a monomeric complex. Taken together, these results suggest that DDX1 acts as a cellular cofactor by promoting oligomerization of Rev on the RRE. (C) 2011 Elsevier Ltd. All rights reserved.