A Lattice Boltzmann method for simulations of liquid-vapor thermal flows

We present a novel lattice Boltzmann method that has a capability of simulating thermodynamic multiphase flows. This approach is fully thermodynamically consistent at the macroscopic level. Using this new method, a liquid-vapor boiling process, including liquid-vapor formation and coalescence together with a full coupling of temperature, is simulated for the first time.Comment: one gzipped tar file, 19 pages, 4 figure

Bˉ0→π+X\bar B^0 \to \pi^+ X in the Standard Model

In this paper we investigate the possibility of studying $B\to \pi$ form factor using the semi-inclusive decays $\bar B^0 \to \pi^+ + X_q$. In general $B\to PX$ semi-inclusive decays involve several hadronic parameters. But for $\bar B^0 \to \pi^+ X_q$ decays we find that in the factorization approximation, the only unknown hadronic parameters are the form factors $F^{B\to \pi}_{0,1}$. Therefore these form factors can be studied in $\bar B^0 \to \pi^+ X_q$ decays. Using theoretical model calculations for the form factors the branching ratios for $\bar B^0 \to \pi^+ X_d(\Delta S = 0)$ and $\bar B^0 \to \pi^+ X_s (\Delta S = -1)$, with the cut $E_{\pi} > 2.1$ GeV, are estimated to be in the ranges of $(3.1\sim 4.9) \times 10^{-5}(F^{B\to \pi}_1(0)/0.33)^2$ and $(2.5\sim 4.2)\times 10^{-5}(F_1^{B\to \pi}(0)/0.33)^2$, respectively, depending on the value of $\gamma$. The combined branching ratio for $\bar B^0 \to \pi^+ (X_d+ X_s)$ is about $7.4\times 10^{-5} (F^{B\to \pi}_1(0)/0.33)^2$ and is insensitive to $\gamma$. We also discuss CP asymmetries in these decay modes.Comment: RevTex 8 pages and two figure

Isolation and characterization of polymorphic microsatellite markers from flax (Linum usitatissimum L.)

Flax (Linum usitatissimum L.) is the third largest natural fiber crop and one of the five major oil crops in the world. Flax can be used as model plant for the bast fiber plants because of its small size and self pollination characters. Development of highly polymorphic co-dominant markers will be important for the molecular and genomic research in flax. Two microsatellite-enriched flax genomic libraries were constructed for trinucleotide TTC and ATC motifs. A total of 206 new microsatellite-containing sequences were identified and classified. Thirty eight polymorphic microsatellite markers were characterized and evaluated in eight cultivars from different countries and regions. These loci produced 2 to 12 alleles per locus with an average of 3.395. The observed and expected heterozygosities ranged from 0.000 to 1.000 (mean 0.257) and from 0.125 to 0.950 (mean 0.516), respectively. The mean polymorphic information content (PIC) value over 38 loci was 0.429, with 13 locihaving PIC greater than 0.5. These novel polymorphic microsatellite loci will be useful in genetic linkage map construction, germplasm classification and identification, gene identification and QTL mapping, and marker-assisted selection in breeding of L. usitatissimum.Key words: Flax, Linum usitatissimum, microsatellite, polymorphism

CP Violation in Fermion Pair Decays of Neutral Boson Particles

We study CP violation in fermion pair decays of neutral boson particles with spin 0 or 1. We study a new asymmetry to measure CP violation in $\eta, K_L \rightarrow \mu^+\mu^-$ decays and discuss the possibility of measuring it experimentally. For the spin-1 particles case, we study CP violation in the decays of $J/\psi$ to $SU(3)$ octet baryon pairs. We show that these decays can be used to put stringent constraints on the electric dipole moments of $\Lambda$, $\Sigma$ and $\Xi$.Comment: 14p, OZ-93/22, UM-93/89, OITS 51

Discriminating land cover types using SPOT 4 imagery in the mixed grassland ecosystem

Non-Peer ReviewedThis study was conducted at a mixed grass prairie in southern Saskatchewan. The main objective of this study is to evaluate spectral differentiations of different land cover types and grassland communities, and thus find the way of improving the utility of the land cover data product with remote sensing techniques for the pasture insurance program. Data for this study were field measurements and two SPOT 4 images acquired in the summer of 2005. Using discriminant analysis, the study extracted and analyzed spectral signals from different land cover types. The results showed that a hierarchical classification method was necessary as different level of classification uses different spectral properties. Both June and July imagery can separate the seven major classes with high accuracy and July image is 1% more accuracy than June image. The images from different dates have different advantages for separating classes based on their discriminant functions. It is easier to differentiate land cover types, such as vegetation covered area and non-vegetation covered area, however, the accuracy will be lower when separating the classes of crop and shrub, and fallow and badland due to their similar spectral properties. Three common grassland management practices (cropland, grazed grassland, and ungrazed grassland) can be spectrally discriminated, but it is difficult to separate grasslands from different topography patterns because they have similar spectral features