11,954 research outputs found

    Flavor SU(3) analysis of charmless B->PP decays

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    We perform a global fits to charmless BPPB \to PP decays which independently constrain the (ρˉ,ηˉ)(\bar\rho,\bar\eta) vertex of the unitarity triangle. The fitted amplitudes and phase are used to predict the branching ratios and CP asymmetries of all decay modes, including those of the BsB_s system. Different schemes of SU(3) breaking in decay amplitude sizes are analyzed. The possibility of having a new physics contribution to KπK \pi decays is also discussed.Comment: 3 pages, 2 figs. Talk given at EPS-HEP07 To appear in the proceedings, Reference adde

    Research Notes: Amylase and acid phosphatase genotypes of Glycine max, Glycine soja and Neonotonia wightii

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    Three amylase loci, Am-1, Am-2 , and Am-3, have been identified by electrophoresis (Gorman and Kiang , 1978) . The activity of amylase at Am-1 and Am-2 is very weak, and that at Am-3 is much str onger. Based on heat lability and chemical reaction, Reiss (1978) concluded Am-1 and Am- 2 represent α - amylase and Am-3 β-amylase

    Research Notes : United States : Inheritance of a second leucine amino-peptidase locus and tests of its linkage with other loci

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    In dry soybean seed, only one leucine amino peptidase (LAP) anodal band was observed by acrylamide slab gel electrophoresis (Gorman et al., 1983). This band gradually declined in intensity and disappeared in all tissues about 10-12 days after germination. Three mobility variants (Rf\u27s 0.59, 0.53,and 0.58) were observed in the band, which was controlled by a single locus (Gor-man et al., 1983; Kiang and Gorman, 1983; Gorman, 1983)

    Research Notes : United States : Linkage of electrophoretic loci

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    In our studies of the inheritance of various electrophoretic variants, we have examined F2 segregation data from many crosses (see Gorman, 1983, for a listing). Many of these crosses were segregating for multiple loci, allowing linkage data to be collected. Table 1 represents a sunnnary of the linkage patterns we have observed between the listed electrophoretic loci (see Gorman and Kiang, 1978; Kiang, 1981; Gorman et al., 1983, concerning the establishment of these loci)

    Unique gap structure and symmetry of the charge density wave in single-layer VSe2_2

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    Single layers of transition metal dichalcogenides (TMDCs) are excellent candidates for electronic applications beyond the graphene platform; many of them exhibit novel properties including charge density waves (CDWs) and magnetic ordering. CDWs in these single layers are generally a planar projection of the corresponding bulk CDWs because of the quasi-two-dimensional nature of TMDCs; a different CDW symmetry is unexpected. We report herein the successful creation of pristine single-layer VSe2_2, which shows a (7×3\sqrt7 \times \sqrt3) CDW in contrast to the (4 ×\times 4) CDW for the layers in bulk VSe2_2. Angle-resolved photoemission spectroscopy (ARPES) from the single layer shows a sizable (7×3\sqrt7 \times \sqrt3) CDW gap of \sim100 meV at the zone boundary, a 220 K CDW transition temperature twice the bulk value, and no ferromagnetic exchange splitting as predicted by theory. This robust CDW with an exotic broken symmetry as the ground state is explained via a first-principles analysis. The results illustrate a unique CDW phenomenon in the two-dimensional limit

    On the Antenna Beam Shape Reconstruction Using Planet Transit

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    The calibration of the in-flight antenna beam shape and possible beamdegradation is one of the most crucial tasks for the upcoming Planck mission. We examine several effects which could significantly influence the in-flight main beam calibration using planet transit: the problems of the variability of the Jupiter's flux, the antenna temperature and passing of the planets through the main beam. We estimate these effects on the antenna beam shape calibration and calculate the limits on the main beam and far sidelobe measurements, using observations of Jupiter and Saturn. We also discuss possible effects of degradation of the mirror surfaces and specify corresponding parameters which can help us to determine these effects.Comment: 10 pages, 8 figure

    Development of an Artificial Neural Network Model for Predicting Surface Water Level: Case of Modder River Catchment Area

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    Published ArticleWater is vital for life; however, water is a scarce natural resource that is under serious threat of depletion. South Africa and indeed the Free State is a water-scarce region, and facing growing challenges of delivering fresh and adequate water to the people. In order to effectively manage surface water, monitoring and predictions tools are required to inform decision makers on a real-time basis. Artificial Neural Networks (ANNs) have proven that they can be used to develop such prediction models and tools. This research makes use of experimentation, prototyping and case study to develop, identify and evaluate the ANN with best surface water level prediction capabilities. What ANN’s techniques and algorithms are the most suitable for predicting surface water levels given parameters such as water levels, precipitation, air temperature, wind speed, wind direction? How accurately will the ANNs developed predict surface water levels of the Modder River catchment area
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