753 research outputs found
Cascade failure analysis of power grid using new load distribution law and node removal rule
The work is supported in part by NSFC (Grant no. 61172070), IRT of Shaanxi Province (2013KCT-04), EPSRC (Grant no.Ep/1032606/1).Peer reviewe
Applying Bayesian networks in nuclear power plant safety analysis
AbstractOver the last decade, Nuclear energy has become one of important energy. Nuclear power systems become more complex and traditional safety methods are hard to be applied. This paper presents a novel approach for nuclear power plant safety analysis which called Bayesian Networks(BN). The BN model is constructed based on the combination of Failure Mode, Effect Analysis (FMEA) and Fault Trees Analysis(FTA). The probability of the model’s root nodes is estimated by Bayesian estimation method and Monte Carlo simulation. Bidirectional inference and sensitivity analysis of the model is also researched. At last, we use a case study to show the method’s advantages compared with traditional methods in nuclear power plant safety analysis
Stability and convergence analysis of high-order numerical schemes with DtN-type absorbing boundary conditions for nonlocal wave equations
The stability and convergence analysis of high-order numerical approximations
for the one- and two-dimensional nonlocal wave equations on unbounded spatial
domains are considered. We first use the quadrature-based finite difference
schemes to discretize the spatially nonlocal operator, and apply the explicit
difference scheme to approximate the temporal derivative to achieve a fully
discrete infinity system. After that, we construct the Dirichlet-to-Neumann
(DtN)-type absorbing boundary conditions (ABCs) to reduce the infinite discrete
system into a finite discrete system. To do so, we first adopt the idea in [Du,
Zhang and Zheng, \emph{Commun. Comput. Phys.}, 24(4):1049--1072, 2018 and Du,
Han, Zhang and Zheng, \emph{SIAM J. Sci. Comp.}, 40(3):A1430--A1445, 2018] to
derive the Dirichlet-to-Dirichlet (DtD)-type mappings for one- and
two-dimensional cases, respectively. We then use the discrete nonlocal Green's
first identity to achieve the discrete DtN-type mappings from the DtD-type
mappings. The resulting DtN-type mappings make it possible to perform the
stability and convergence analysis of the reduced problem. Numerical
experiments are provided to demonstrate the accuracy and effectiveness of the
proposed approach.Comment: 26 pages, 4 figure
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Editorial: Application of multi-omics technologies to explore novel biological process and molecular function in immunology and oncology
Observations of Magnetic Helicity Proxies in Solar Photosphere: Helicity with Solar Cycles
Observations of magnetic helicity transportation through the solar
photosphere reflect the interaction of turbulent plasma movements and magnetic
fields in the solar dynamo process. In this chapter, we have reviewed the
research process of magnetic helicity inferred from the observed solar magnetic
fields in the photosphere and also the solar morphological configurations with
solar cycles. After introducing some achievements in the study of magnetic
helicity, some key points would like to be summarized.
The magnetic (current) helicity in the solar surface layer presents a
statistical distribution similar to that of the sunspot butterfly diagram, but
its maximum value is delayed from the extreme value of the sunspot butterfly
diagram and corresponds in the phase with the statistical eruption of solar
flares. During the spatial transport of magnetic (current) helicity from the
interior of the sun into the interplanetary space at the time-space scale of
the solar cycle, it shows the statistical distribution and the fluctuation with
the hemispheric sign rule. These show that the current helicity and magnetic
helicity transport calculation methods are complementary to each other.
We also notice that the study of the inherent relationship between magnetic
helicity and the solar cycle still depends on the observed accuracy of the
solar magnetic field.Comment: 48 page,17 figure
Manufacturer Strategy on Service Provision in Competitive Channels
A manufacturer commonly distributes through a set of retailers who are authorized to sell its product; demand-enhancing services may also be provided by the manufacturer. These services may be granted to all authorized retailers (uniform service provision) or to a favored few authorized retailers (differential service provision). To determine when a manufacturer does—or does not—bestow equal service levels, we develop a model of one manufacturer selling through two competing retailers. We find manufacturer optimality to entail uniform service at some parametric values, while differential service is optimal at other values. Counterintuitively, with differential service, the recipient of lower service may be better off than it would be with higher service. Equally surprisingly, there are conditions for which the high-service retailer prefers its rival to also receive a high level of service—but only if its rival is sufficiently small. While the three channel members often have different service-provision preferences, there are also parametric values that place them in harmony with either differential or uniform service provision. Retailers sharing the cost of manufacturer-provided service need not lessen firms’ preference confliction over the preferred service provision but can improve channel efficiency when the cost-sharing rate is relatively low. We also investigate the effect of retailer-provided services and the impact of service asymmetry level
Spinal cord injury-induced attenuation of GABAergic inhibition in spinal dorsal horn circuits is associated with down-regulation of the chloride transporter KCC2 in rat: Silent spinal circuits speak up after SCI
Most spinal cord injury (SCI) patients suffer from chronic pain. Effective therapy for this pain is lacking, and the underlying mechanisms are poorly understood. The spinal superficial dorsal horn (SDH) contains neuronal circuits capable of modulating primary afferent information involved in pain processing. KCC2 is an isoform of the K+–Cl− cotransporter that contributes to the regulation of transmembrane anion gradient which plays a key role in shaping GABAA receptor-mediated signalling in the CNS. We tested the hypothesis that SCI causes down-regulation of KCC2 distal to the injury and contributes to the neuronal hyperresponsiveness and pain-related behaviours. SCI was a hemisection at T13 level of adult Sprague–Dawley rats. Spinal sagittal slices with attached dorsal roots (DR) were prepared from L4 to L6 level. The reversal potentials of GABA responses (EGABA) and DR-evoked IPSPs and EPSPs of L4-6 SDH neurones in sham-operated and SCI rats were compared using gramicidin-perforated patch-clamp recordings. Here we report that thoracic SCI-induced down-regulation of KCC2 in the lumbar SDH parallels the development of allodynia. The subsequent changes of EGABA in SDH neurones attenuate the GABAA receptor-mediated inhibitory synaptic transmission. These changes cause certain normally subthreshold primary A and C fibre inputs to evoke action potential output in SDH neurones. We conclude that SCI induces KCC2 down-regulation and subsequent changes of EGABA in the SDH below the injury site. The resulting disinhibition unmasks normally ineffective SDH neuronal circuits and may contribute to the below-level central pain-related behaviours after incomplete SCI
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