SeaWiFS long-term solar diffuser reflectance and sensor noise analyses

The NASA Ocean Biology Processing Group's Calibration and Validation (Cal/Val) team has undertaken an analysis of the mission-long Sea-Viewing Wide Field-of-View Sensor (SeaWiFS) solar calibration time series to assess the long-term degradation of the solar diffuser reflectance over 9 years on orbit. The SeaWiFS diffuser is an aluminum plate coated with YB71 paint. The bidirectional reflectance distribution function of the diffuser was not fully characterized before launch, so the Cal/Val team has implemented a regression of the solar incidence angles and the drift in the node of the satellite's orbit against the diffuser time series to correct for solar incidence angle effects. An exponential function with a time constant of 200 days yields the best fit to the diffuser time series. The decrease in diffuser reflectance over the mission is wavelength dependent, ranging from 9% in the blue (412 nm) to 5% in the red and near infrared (670-865 nm). The Cal/Val team has developed a methodology for computing the signal-to-noise ratio (SNR) for SeaWiFS on orbit from the diffuser time series corrected for both the varying solar incidence angles and the diffuser reflectance degradation. A sensor noise model is used to compare on-orbit SNRs computed for radiances reflected from the diffuser with prelaunch SNRs measured at typical radiances specified for the instrument. To within the uncertainties in the measurements, the SNRs for SeaWiFS have not changed over the mission. The on-orbit performance of the SeaWiFS solar diffuser should offer insight into the long-term on-orbit performance of solar diffusers on other instruments, such as the Moderate-Resolution Imaging Spectrometer [currently flying on the Earth Observing System (EOS) Terra and Aqua satellites], the Visible and Infrared Radiometer Suite [scheduled to fly on the NASA National Polar-orbiting Operational Environmental Satellite System (NPOESS) and NPOESS Preparatory Project (NPP) satellites] and the Advanced Baseline Imager [scheduled to fly on the National Oceanic and Atmospheric Administration Geostationary Environmental Operational Satellite Series R (GOES-R) satellites].     

Studies on lipid biosynthesis and cholesterol content of liver and serum lipoproteins in rats fed various phthalate esters

The effect of various phthalate ester plasticizers on lipid metabolism in rats was studied in vivo and in vitro. Di-2-ethylhexyl phthalate (DEHP) and di-n-butyl phthalate (DBP) inhibited (30–70%) hepatic sterologenesis from¹⁴C-acetate and¹⁴C-mevalonate in liver minces from rats fed the phthalates at a level of 2.5 mmoles/100 g of chow diet for 21 days; inhibition of¹⁴C-acetate incorporation into phospholipids, triglycerides, and steryl esters was reduced (35–70%) by DEHP and DBP feeding. In addition, serum cholesterol was lowered ca. 14 mg/dl with dietary DEHP or DBP but not with dimethyl phthalate (DMP). Hepatic total cholesterol levels were reduced significantly (31%, P<0.001) by DMP but not by DBP or DEHP. In other studies with DEHP fed at the 0.5% level in chow diets (1.3 mmoles/100 g), the incorporation (esterification) of³H-oleate into di- and triglycerides was reduced ca. 40%. Furthermore, the addition of DEHP (2%, 5 mmoles/100 g) to a semisynthetic diet containing 10% fat (hydrogenated coconut oil) resulted in changes in serum lipoprotein composition. The percentage of serum cholesterol in LDL rose from 22% to 34% while that in HDL fell from 78% to 66%; these changes occurred without net changes in serum cholesterol levels. Possible mechanisms for the inhibitory effect of phthalates on hepatic lipid biosynthesis are discussed. These studies are in partial fulfillment of the requirements for a Doctorate degree in Medical Sciences, McMaster University, Hamilton, Ontario, Canada.     

Inhibition of sterologenesis in brain and liver of fetal and suckling rats from dams fed di-2-ethylhexyl phthalate plasticizer

The effect of di-2-ethylhexyl phthalate (DEHP) on lipid metabolism was studied in liver and brain from fetal rats taken 3 days before parturition from dams receiving dietary DEHP during gestation. In fetuses from rats receiving 0.5% or 1.0% DEHP in a stock diet, the incorporation of¹⁴C-acetate and labeled mevalonate (³H or¹⁴C) into the C₂₇ sterols, C₃₀ sterols, and squalene fractions of brain tissue incubated in vitro was significantly reduced between the confidence limits P<0.05 to P<0.001. When liver from fetuses was incubated with labeled mevalonate, incorporation of label into the C₂₇ sterol and C₃₀ sterol fractions was significantly reduced as well (P<0.02 to P<0.001), whereas incorporation of labeled mevalonate into the squalene fraction was not significantly altered. The incorporation of¹⁴C-acetate into total hepatic lipids of the fetal rats was also studied, and statistically significant reductions in incorporation were observed in the lanosterol fraction (P<0.001), the combined fraction of sterol esters + squalene (P<0.02), and the combined fraction of cholesterol + diglycerides (P<0.01). No significant changes were observed in the incorporation of¹⁴C-acetate into phospholipids, free fatty acids, or triglycerides. In 8-day old suckling rats delivered from dams fed 0.5% DEHP for the last 16 days of gestation and maintained on the same diet during the nursing period, the incorporation of¹⁴C-mevalonate into hepatic C₂₇ sterols, in vitro, was significantly depressed (P<0.05) whereas in corporation into C₃₀ sterols and squalene was similar to control values. In these same suckling rats, body weights were significantly lower in the control group (21.7 vs. 18.8 g, P<0.01), whereas liver weight as a % of body weight was significantly higher (P<0.01) in rats nursing from the DEHP-fed dams. The results indicate that the inhibitory effect of dietary DEHP on lipid metabolism in the mature rat is transmitted across the placental barrier to the developing fetus and that the abnormal pattern of lipid metabolism in rats delivered from DEHP-fed females is only partially restored to normal during the suckling periods.     

In situ cell-by-cell imaging and analysis of small cell populations by mass spectrometry

Molecular imaging by mass spectrometry (MS) is emerging as a tool to determine the distribution of proteins, lipids, and metabolites in tissues. The existing imaging methods, however, mostly rely on predefined rectangular grids for sampling that ignore the natural cellular organization of the tissue. Here we demonstrate that laser ablation electrospray ionization (LAESI) MS can be utilized for in situ cell-by-cell imaging of plant tissues. The cell-by-cell molecular image of the metabolite cyanidin, the ion responsible for purple pigmentation in onion (Allium cepa) epidermal cells, correlated well with the color of cells in the tissue. Chemical imaging using single-cells as voxels reflects the spatial distribution of biochemical differences within a tissue without the distortion stemming from sampling multiple cells within the laser focal spot. Microsampling by laser ablation also has the benefit of enabling the analysis of very small cell populations for biochemical heterogeneity. For example, with a ～30 μm ablation spot we were able to analyze 3-4 achlorophyllous cells within an oil gland on a sour orange (Citrus aurantium) leaf. To explore cell-to-cell variations within and between tissues, multivariate statistical analysis on LAESI-MS data from epidermal cells of an A. cepa bulb and a C. aurantium leaf and from human buccal epithelial cell populations was performed using the method of orthogonal projections to latent structures discriminant analysis (OPLS-DA). The OPLS-DA analysis of mass spectra, containing over 300 peaks each, provided guidance in identifying a small number of metabolites most responsible for the variance between the cell populations. These metabolites can be viewed as promising candidates for biomarkers that, however, require further verification.     

Cross calibration of SeaWiFS and MODIS using on-orbit observations of the Moon

Observations of the Moon provide a primary technique for the on-orbit cross calibration of Earth remote sensing instruments. Monthly lunar observations are major components of the on-orbit calibration strategies of SeaWiFS and MODIS. SeaWiFS has collected more than 132 low phase angle and 59 high phase angle lunar observations over 12 years, Terra MODIS has collected more than 82 scheduled and 297 unscheduled lunar observations over nine years, and Aqua MODIS has collected more than 61 scheduled and 171 unscheduled lunar observations over seven years. The NASA Ocean Biology Processing Group Calibration and Validation Team and the NASA MODIS Characterization Support Team use the USGS RObotic Lunar Observatory (ROLO) photometric model of the Moon to compare these time series of lunar observations over time and varying observing geometries. The cross-calibration results show that Terra MODIS and Aqua MODIS agree, band to band, at the 1%-3% level, while SeaWiFS and either MODIS instrument agree at the 3%-8% level. The combined uncertainties of these comparisons are 1.3% for Terra and Aqua MODIS, 1.4% for SeaWiFS and Terra MODIS, and 1.3% for SeaWiFS and Aqua MODIS. Any residual phase dependence in the ROLO model, based on these observations, is less than 1.7% over the phase angle range of -80° to -6° and +5° to +82°. The lunar cross calibration of SeaWiFS, Terra MODIS, and Aqua MODIS is consistent with the vicarious calibration of ocean color products for these instruments, with the vicarious gains mitigating the calibration biases for the ocean color bands.     

Branch Classification: A New Mechanism for Improving Branch Predictor Performance

There is wide agreement that one of the most significant impediments to the performance of current and future pipelined superscalar processors is the presence of conditional branches in the instruction stream. Speculative execution is one solution to the branch problem, but speculative work is discarded if a branch is mispredicted. For it to be effective, speculative execution requires a very accurate branch predictor; 95% accuracy is not good enough. This paper proposes branch classification, a methodology for building more accurate branch predictors. Branch classification allows an individual branch instruction to be associated with the branch predictor best suited to predict its direction. Using this approach, a hybrid branch predictor can be constructed such that each component branch predictor predicts those branches for which it is best suited. To demonstrate the usefulness of branch classification, an example classification scheme is given and a new hybrid predictor is built based on this scheme which achieves a higher prediction accuracy than any branch predictor previously reported in the literature.     

Key characteristics of MODIS data products

Forty science products totaling 600 GB of storage volume per day will be produced from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS). Eighty-five percent of this data volume is in products that are in the instrument's scan geometry (processing Levels 1 and 2) that are not Earth located. Before ordering MODIS data products, users should consider processing level, data formats, product size, and the unique characteristics of MODIS products. Given the data volumes associated with the MODIS Levels 1 and 2 products, the resources required to process them and the issues associated with the scanning geometry of the instrument, users are encouraged to order data products that are Earth located. These include Level 3 products, which are produced on fixed global grids and Level 2G products, in which observations and their Earth location have been stored in bins of the MODIS global grids     

Functional thrombin receptor PAR1 in primary cultures of human glioblastoma cells

In this study we investigated primary cultures obtained from two glioblastomas surgically removed from a 64-year-old man and a 50-year-old woman, respectively. The presence of the tethered ligand thrombin receptor PAR1 (protease-activated receptor 1) in these cells was demonstrated at the level of receptor binding by using immunofluorescence studies with the monoclonal anti-PAR1 antibody Mab 31-2. Stimulation of human glioblastoma cells both with alpha-thrombin and the thrombin receptor activating peptide TRAP-6 resulted in a series of [Ca+]i spikes as shown by confocal laser fluorescence microscopy with fluo-3 as calcium sensitive fluorescence indicator. This effect was completely blocked with the thrombin receptor antagonist peptide T1. Our results demonstrate functional thrombin receptors (PAR1) in primary cultures of human glioblastomas for the first time.     

Wish Branches: Enabling Adaptive and Aggressive Predicated Execution

The goal of wish branches is to use predicated execution for hard-to-predict dynamic branches, and branch prediction for easy-to-predict dynamic branches, thereby obtaining the best of both worlds. Wish loops, one class of wish branches, use predication to reduce the misprediction penalty for hard-to-predict backward (loop) branches.     

Untersuchungen zur Herstellung von chemo-mechanischen Holzstoffen aus Buche und Birke

Chips from beech and birch wood were treated at room temperature with Na₂SO₃ and NaOH solution respectively as well as with mixtures of both compounds at different concentrations. This was followed by a two-stage defibration after a thermal pretreatment of the impregnated chips at temperatures between 125 and 175 °C. A temperature of 170 °C was necessary to reach satisfactory pulp properties. The best pulping results were gained with a mixture of Na₂SO₃ and NaOH. No remarkable increase of pulp strength by post treatment of the CMP with ozone was achieved.