30,771 research outputs found

    Lattice QCD calculation of ππ\pi\pi scattering length

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    We study s-wave pion-pion (ππ\pi\pi) scattering length in lattice QCD for pion masses ranging from 330 MeV to 466 MeV. In the "Asqtad" improved staggered fermion formulation, we calculate the ππ\pi\pi four-point functions for isospin I=0 and 2 channels, and use chiral perturbation theory at next-to-leading order to extrapolate our simulation results. Extrapolating to the physical pion mass gives the scattering lengths as mπa0I=2=−0.0416(2)m_\pi a_0^{I=2} = -0.0416(2) and mπa0I=0=0.186(2)m_\pi a_0^{I=0} = 0.186(2) for isospin I=2 and 0 channels, respectively. Our lattice simulation for ππ\pi\pi scattering length in the I=0 channel is an exploratory study, where we include the disconnected contribution, and our preliminary result is near to its experimental value. These simulations are performed with MILC 2+1 flavor gauge configurations at lattice spacing a≈0.15a \approx 0.15 fm.Comment: Remove some typo

    Neural-Network Vector Controller for Permanent-Magnet Synchronous Motor Drives: Simulated and Hardware-Validated Results

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    This paper focuses on current control in a permanentmagnet synchronous motor (PMSM). The paper has two main objectives: The first objective is to develop a neural-network (NN) vector controller to overcome the decoupling inaccuracy problem associated with conventional PI-based vector-control methods. The NN is developed using the full dynamic equation of a PMSM, and trained to implement optimal control based on approximate dynamic programming. The second objective is to evaluate the robust and adaptive performance of the NN controller against that of the conventional standard vector controller under motor parameter variation and dynamic control conditions by (a) simulating the behavior of a PMSM typically used in realistic electric vehicle applications and (b) building an experimental system for hardware validation as well as combined hardware and simulation evaluation. The results demonstrate that the NN controller outperforms conventional vector controllers in both simulation and hardware implementation

    Tomato yellow leaf virus (TYLCV): The structure, ecotypes and the resistance germplasm resources in tomato

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    Tomato yellow leaf virus (TYLCV) transmitted by the whitefly are a group of geminiviruses, which can cause large economic loses. The genome of TYLCV contains six partially overlapping open reading frames (ORFs) bidirectionally arranged into two transcriptional units that are separated by an intergenic region (IR). The TYLCV can be classified into three main groups, the Mediterranean/Middle East/African region group, India, the Far East and Australia group and the America group. However, due to globalization and the recombination of different viruses in the recent years, the speed of emergence of the novel viruses becomes more and more rapid. The initial tomato cultivars were extremely susceptible to TYLCV. For the overwhelming viruses, the breeding research is yet to be done. Many TYLCV resistance germplasms were collected and indentified in the Lycopersicon section species for breeding new cultivars in the last decades, especially in Solanum pimpinellifolium, Solanum peruvianum, Solanum chilense, Solanum habrochaites and Solanum cheesmaniae. In these germplasms, several resistance QTLs and related molecular markers were found and developed to benefit the TYLCV resistance breeding research and some new cultivars were already bred in commercial areas.Key words: Tomato yellow leaf curl virus (TYLCV), germplasm, resistance, breedin

    Identification and denitrification characteristics of a salt-tolerant denitrifying bacterium Pannonibacter phragmitetus F1

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    A salt-tolerant denitrifying bacterium F1 was isolated in this study, which has high nitrite (NO -N) and nitrate (NO -N) removal abilities. The salt tolerance capacity of strain F1 was further verified and the effects of initial pH, initial NaNO concentration and inoculation size on the denitrification capacity of strain F1 under saline conditions were evaluated. Strain F1 was identified as Pannonibacter phragmitetus and named Pannonibacter phragmitetus F1. This strain can tolerate NaCl concentrations up to 70 g/L, and its most efficient denitrification capacity was observed at NaCl concentrations of 0-10 g/L. Under non-saline condition, the removal percentages of NO -N and NO -N by strain Pannonibacter phragmitetus F1 at pH of 10 and inoculation size of 5% were 100% and 83%, respectively, after cultivation for 5 days. Gas generation was observed during the cultivation, indicating that an efficient denitrification performance was achieved. When pH was 10 and the inoculation size was 5%, both the highest removal percentages of NO -N (99%) and NO -N (95%) by strain Pannonibacter phragmitetus F1 were observed at NaCl concentration of 10 g/L. When the NaCl concentration was 10 g/L, strain Pannonibacter phragmitetus F1 can adapt to a wide range of neutral and alkaline environments (pH of 7-10) and is highly tolerant of NaNO concentration (0.4-1.6 g/L). In conclusion, strain Pannonibacter phragmitetus F1 has a great potential to be applied in the treatment of saline wastewater containing high nitrogen concentrations, e.g. coastal aquaculture wastewater
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