3,583 research outputs found

    Satellite power systems program

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    The Department of Energy and NASA are engaged in an intense three-year analysis to determine what course of action the Federal government should pursue relative to this nonconventional energy system. Information is presented in the form of charts for the following: (1) program organization; (2) major program milestones; (3) activity schedule for the program; (4) preliminary baseline comparison by two Systems Definition Centers; and (5) program definition plan (funding by agency management responsibility)

    HYPA: Efficient Detection of Path Anomalies in Time Series Data on Networks

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    The unsupervised detection of anomalies in time series data has important applications in user behavioral modeling, fraud detection, and cybersecurity. Anomaly detection has, in fact, been extensively studied in categorical sequences. However, we often have access to time series data that represent paths through networks. Examples include transaction sequences in financial networks, click streams of users in networks of cross-referenced documents, or travel itineraries in transportation networks. To reliably detect anomalies, we must account for the fact that such data contain a large number of independent observations of paths constrained by a graph topology. Moreover, the heterogeneity of real systems rules out frequency-based anomaly detection techniques, which do not account for highly skewed edge and degree statistics. To address this problem, we introduce HYPA, a novel framework for the unsupervised detection of anomalies in large corpora of variable-length temporal paths in a graph. HYPA provides an efficient analytical method to detect paths with anomalous frequencies that result from nodes being traversed in unexpected chronological order.Comment: 11 pages with 8 figures and supplementary material. To appear at SIAM Data Mining (SDM 2020

    Yersinia pestis insecticidal-like toxin complex (Tc) family proteins: characterization of expression, subcellular localization, and potential role in infection of the flea vector

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    BACKGROUND: Toxin complex (Tc) family proteins were first identified as insecticidal toxins in Photorhabdus luminescens and have since been found in a wide range of bacteria. The genome of Yersinia pestis, the causative agent of bubonic plague, contains a locus that encodes the Tc protein homologues YitA, YitB, YitC, and YipA and YipB. Previous microarray data indicate that the Tc genes are highly upregulated by Y. pestis while in the flea vector; however, their role in the infection of fleas and pathogenesis in the mammalian host is unclear. RESULTS: We show that the Tc proteins YitA and YipA are highly produced by Y. pestis while in the flea but not during growth in brain heart infusion (BHI) broth at the same temperature. Over-production of the LysR-type regulator YitR from an exogenous plasmid increased YitA and YipA synthesis in broth culture. The increase in production of YitA and YipA correlated with the yitR copy number and was temperature-dependent. Although highly synthesized in fleas, deletion of the Tc proteins did not alter survival of Y. pestis in the flea or prevent blockage of the proventriculus. Furthermore, YipA was found to undergo post-translational processing and YipA and YitA are localized to the outer membrane of Y. pestis. YitA was also detected by immunofluorescence microscopy on the surface of Y. pestis. Both YitA and YipA are produced maximally at low temperature but persist for several hours after transfer to 37°C. CONCLUSIONS: Y. pestis Tc proteins are highly expressed in the flea but are not essential for Y. pestis to stably infect or produce a transmissible infection in the flea. However, YitA and YipA localize to the outer membrane and YitA is exposed on the surface, indicating that at least YitA is present on the surface when Y. pestis is transmitted into the mammalian host from the flea

    Palladium-catalyzed heteroallylation of unactivated alkenes – synthesis of citalopram

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    A palladium-catalyzed difunctionalization of unactivated alkenes with tethered nucleophiles is reported. The versatile reaction occurs with simple allylic halides and can be carried out under air. The methodology provides rapid access to a wide array of desirable heterocyclic targets, as illustrated by a concise synthesis of the widely prescribed antidepressant citalopram

    Reactive organoallyl species generated from aryl halides and allene: allylation of alpha,beta-unsaturated aldehydes and cyclic ketones employing Pd/In transmetallation processes

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    Allylation of α,β-unsaturated aldehydes and cyclic ketones promoted by Pd/In transmetallation processes has been studied. The unsaturated aldehydes underwent regioselective 1,2-addition to afford secondary homoally alcohols. The reactions have been performed using Pd(OAc)2/PPh3 as catalytic system and metallic indium affording the products in good yields. The same transformation with unsaturated ketones proved to be less efficient, while saturated cyclic ketones delivered generally excellent yields in the presence of CuI. In these latter processes the presence of a distal heteroatom influences the reaction rate

    Palladium-catalyzed coupling of aryl halides, non-conjugated dienes and carbon nucleophiles

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    The present invention provides a method for the alpha,omega-arylation/alkylation of a non-conjugated diene in one step by reacting the diene with an aryl iodide or an aryl bromide and a carbon nucleophile in the presence of an amount of a Pd(O) complex effective to catalyze the reaction

    Temporal changes in quality of life and environment in New Orleans after Hurricane Katrina

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    Understanding and assessing the spatial and temporal changes of quality of life and environment of a community is critical to its sustainable development, especially after a disaster strikes. This study explores an approach that integrates remote sensing with socioeconomic data to assess the temporal changes in quality of life and environment (QOL) using Orleans Parish as an example. Hurricane Katrina, which struck New Orleans in 2005, has had vast implications economically, socially, and environmentally for this city and the surrounding area. Empirically quantifying these concepts will help to rebuild the city more sustainably. This study investigated change in environmental quality pre- and post-Katrina using Landsat-TM imagery. Environmental quality was measured by means of vegetation productivity as an indicator, using the Normalized Difference Vegetation Index (NDVI) and Tasseled Cap Index (T-cap) of greenness, wetness, and brightness derived from the Landsat images. Factor analysis was employed to create a QOL index at the zip code level that incorporated both environmental (vegetation, flood depth) and socioeconomic variables. The factor analysis yielded four factors with 95.3% of the variance explained. A weighted QOL index was created that included seven variables from the four factors: NDVI, median household income, population density, housing density, median home value, educational attainment, and flood depth. Validation of the QOL indices with households receiving mail post-Katrina resulted in correlations of 0.546 and 0.510 for the pre- and post-Katrina QOL indices, respectively. The QOL index maps demonstrated spatial contiguity pre- and post-Katrina. Areas that exhibited high QOL included Downtown, Uptown, Garden District, West Bank, and Lakefront. Low QOL was found in New Orleans East, Lower Ninth Ward, and Central Business District. Four years after Katrina, much of the city experienced a decrease in QOL. Zip codes with high wealth tended to maintain or even increase their high QOL, such as in Uptown and the Garden District. This study suggests that higher values of income, education, home value, and vegetation contribute to higher QOL and increase resilience to natural disturbances. These QOL indices link human and natural systems and provide an effective means for comparing changes in a region after a disaster
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