An Efficient, Highly Flexible Multi-Channel Digital Downconverter Architecture

In this innovation, a digital downconverter has been created that produces a large (16 or greater) number of output channels of smaller bandwidths. Additionally, this design has the flexibility to tune each channel independently to anywhere in the input bandwidth to cover a wide range of output bandwidths (from 32 MHz down to 1 kHz). Both the flexibility in channel frequency selection and the more than four orders of magnitude range in output bandwidths (decimation rates from 32 to 640,000) presented significant challenges to be solved. The solution involved breaking the digital downconversion process into a two-stage process. The first stage is a 2 oversampled filter bank that divides the whole input bandwidth as a real input signal into seven overlapping, contiguous channels represented with complex samples. Using the symmetry of the sine and cosine functions in a similar way to that of an FFT (fast Fourier transform), this downconversion is very efficient and gives seven channels fixed in frequency. An arbitrary number of smaller bandwidth channels can be formed from second-stage downconverters placed after the first stage of downconversion. Because of the overlapping of the first stage, there is no gap in coverage of the entire input bandwidth. The input to any of the second-stage downconverting channels has a multiplexer that chooses one of the seven wideband channels from the first stage. These second-stage downconverters take up fewer resources because they operate at lower bandwidths than doing the entire downconversion process from the input bandwidth for each independent channel. These second-stage downconverters are each independent with fine frequency control tuning, providing extreme flexibility in positioning the center frequency of a downconverted channel. Finally, these second-stage downconverters have flexible decimation factors over four orders of magnitude The algorithm was developed to run in an FPGA (field programmable gate array) at input data sampling rates of up to 1,280 MHz. The current implementation takes a 1,280-MHz real input, and first breaks it up into seven 160-MHz complex channels, each spaced 80 MHz apart. The eighth channel at baseband was not required for this implementation, and led to more optimization. Afterwards, 16 second stage narrow band channels with independently tunable center frequencies and bandwidth settings are implemented A future implementation in a larger Xilinx FPGA will hold up to 32 independent second-stage channels

A Deep Space Network Portable Radio Science Receiver

The Radio Science Receiver (RSR) is an open-loop receiver installed in NASA s Deep Space Network (DSN), which digitally filters and records intermediate-frequency (IF) analog signals. The RSR is an important tool for the Cassini Project, which uses it to measure perturbations of the radio-frequency wave as it travels between the spacecraft and the ground stations, allowing highly detailed study of the composition of the rings, atmosphere, and surface of Saturn and its satellites

A 50-year record of NOx and SO2 sources in precipitation in the Northern Rocky Mountains, USA

Ice-core samples from Upper Fremont Glacier (UFG), Wyoming, were used as proxy records for the chemical composition of atmospheric deposition. Results of analysis of the ice-core samples for stable isotopes of nitrogen (δ15N, ) and sulfur (δ34S, ), as well as and deposition rates from the late-1940s thru the early-1990s, were used to enhance and extend existing National Atmospheric Deposition Program/National Trends Network (NADP/NTN) data in western Wyoming. The most enriched δ34S value in the UFG ice-core samples coincided with snow deposited during the 1980 eruption of Mt. St. Helens, Washington. The remaining δ34S values were similar to the isotopic composition of coal from southern Wyoming. The δ15N values in ice-core samples representing a similar period of snow deposition were negative, ranging from -5.9 to -3.2 ‰ and all fall within the δ15N values expected from vehicle emissions. Ice-core nitrate and sulfate deposition data reflect the sharply increasing U.S. emissions data from 1950 to the mid-1970s

Neutral Red Assay Modification to PreventCytotoxicity and Improve Repeatability Using E-63 Rat Skeletal Muscle Cells

Cellular uptake of neutral red dye (NR) is currently used as an indirect measure of viable cells in cultures. We used E-63 rat skeletal muscle cells to identify causes of NR assay variability and to develop modifications that substantially reduce it. Three methods of NR preparation and/or addition to cells were used. When NR medium was prepared, incubated overnight, and filtered to remove precipitates, the amount of dye precipitated varied greatly. Coefficients of variation (CVs) in NR uptake were greater than 25% between assays. Higher NR concentrations, longer incubation times, increased pH, and decreased temperature promoted NR precipitation in media. NR media prepared and filtered just prior to use or direct addition of prefiltered NR stock solution to cell cultures resulted in much smaller CVs between assays. NR was cytotoxic to E-63 rat muscle and primary quail myoblasts in a time-and concentration-dependent manner. NR exposure to E-63 cells for greater than 1.25 and 2 hr at 157 or 127 μg/ml, respectively, was associated with swelling and rupture of lysosomes. By contrast, there was no evidence of cytotoxicity when E-63 cells were exposed to NR for 1 hr at either 127 or 157 μg/ml. Primary quail myoblasts developed lysosomal swelling and ruptured more rapidly than E-63 cells when exposed to NR at either 127 or 157 μg/ml. For confluent 10-day cultures of E-63 cells exposed to NR at 127 μg/ml for 1 hr, the CVs within assay and between assays were 3.3-3.9% and 5.1%, respectively. For similarly exposed, actively replicating 3-day cultures of E-63 cells, the CVs within and between assays were 6.2-9.6% and 2.4%, respectively. NR uptake by the E-63 cells was linear with respect to viable cell number

Rule learning in Autism: the role of reward type and social context

Learning abstract rules is central to social and cognitive development. Across two experiments, we used Delayed Non-Matching to Sample tasks to characterize the longitudinal development and nature of rule-learning impairments in children with Autism Spectrum Disorder (ASD). Results showed that children with ASD consistently experienced more difficulty learning an abstract rule from a discrete physical reward than children with DD. Rule learning was facilitated by the provision of more concrete reinforcement, suggesting an underlying difficulty in forming conceptual connections. Learning abstract rules about social stimuli remained challenging through late childhood, indicating the importance of testing executive functions in both social and non-social contexts