11,994 research outputs found
Flavor SU(3) analysis of charmless B->PP decays
We perform a global fits to charmless decays which independently
constrain the 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 system. Different
schemes of SU(3) breaking in decay amplitude sizes are analyzed. The
possibility of having a new physics contribution to 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
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
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
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 VSe
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 VSe, which shows a () CDW in contrast to the (4 4) CDW for the layers in
bulk VSe. Angle-resolved photoemission spectroscopy (ARPES) from the single
layer shows a sizable () CDW gap of 100 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
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
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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