366 research outputs found

    Error-correction coding for high-density magnetic recording channels.

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    Finally, a promising algorithm which combines RS decoding algorithm with LDPC decoding algorithm together is investigated, and a reduced-complexity modification has been proposed, which not only improves the decoding performance largely, but also guarantees a good performance in high signal-to-noise ratio (SNR), in which area an error floor is experienced by LDPC codes.The soft-decision RS decoding algorithms and their performance on magnetic recording channels have been researched, and the algorithm implementation and hardware architecture issues have been discussed. Several novel variations of KV algorithm such as soft Chase algorithm, re-encoded Chase algorithm and forward recursive algorithm have been proposed. And the performance of nested codes using RS and LDPC codes as component codes have been investigated for bursty noise magnetic recording channels.Future high density magnetic recoding channels (MRCs) are subject to more noise contamination and intersymbol interference, which make the error-correction codes (ECCs) become more important. Recent research of replacement of current Reed-Solomon (RS)-coded ECC systems with low-density parity-check (LDPC)-coded ECC systems obtains a lot of research attention due to the large decoding gain for LDPC-coded systems with random noise. In this dissertation, systems aim to maintain the RS-coded system using recent proposed soft-decision RS decoding techniques are investigated and the improved performance is presented

    On monogamy and polygamy relations of multipartite systems

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    We study the monogamy and polygamy relations related to quantum correlations for multipartite quantum systems in a unified manner. It is known that any bipartite measure obeys monogamy and polygamy relations for the rr-power of the measure. We show in a uniformed manner that the generalized monogamy and polygamy relations are transitive to other powers of the measure in weighted forms. We demonstrate that our weighted monogamy and polygamy relations are stronger than recently available relations. Comparisons are given in detailed examples which show that our results are stronger in both situations.Comment: 18 pages, 4 figure

    Experimental Study of the Nematic Transition in Granular Spherocylinder Packings under Tapping

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    Using x-ray tomography, we experimentally investigate the nematic transition in granular spherocylinder packings induced by tapping. Upon the validation of the Edwards ensemble framework in spherocylinders, we introduce an empirical free energy that accounts for the influence of gravity and the mechanical stability requirements specific to granular systems. This free energy can predict not only the correct phase transition behavior of the system from a disordered state to a nematic phase, but also a phase coexistence range and nucleation energy barriers that agree with experimental observations.Comment: 19 pages, 5 figure

    End water content determines the magnitude of N2_{2}O pulse from nitrifier denitrification after rewetting a fluvo-aquic soil

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    Large nitrous oxide (N2_{2}O) emissions pulses have been observed after rewetting dry soil. However, few studies have uncoupled the effects of drought severity from the degree to which the soil is saturated. In this study, we conducted three aerobic incubation experiments to investigate the effects of soil rewetting on N2_{2}O emissions from a dryland soil. The results showed that, at constant soil moisture, total N2_{2}O emissions in soil with 90% water-holding capacity (WHC) were significantly higher than those in 30%, 45%, 60% and 75% WHC treatments. In the dry–wet group, the soil moisture content was adjusted from 30%, 45% and 60% WHC to the end content of 75% and 90% WHC, respectively; the cumulative N2_{2}O emissions in the 30–90%, 45–90% and 60–90% WHC nitrogen (N) treatments were significantly higher than those in the 30–75%, 45–75% and 60–75% WHC N treatments. Regarding fertilizer N types, there was no significant difference in N2_{2}O emissions from soil at 90% WHC when (NH4_{4})2_{2}SO4_{4} or urea was applied. Nitrification inhibitor significantly reduced N2_{2}O emissions in soil applied with NH4_{4}+^{+}-N fertilizer, indicating that nitrification played a major role in N2_{2}O emissions from soils. The contribution of denitrification was negligible, according to the low emission rate of soils with only NO3_{3}−^{-} additions. High N2_{2}O emissions occurred in soil treated with NO2_{2}−^{-}, accounting for about 83.6% of those of the NH4_{4}+^{+} treatment. Therefore, in this study we concluded that the end water content of soil was more important than the role of drought severity in the dry-wet process and that nitrifier denitrification was probably the main pathway of N2_{2}O production under the condition of 90% WHC moisture after rewetting soil

    Teaching Yourself: Graph Self-Distillation on Neighborhood for Node Classification

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    Recent years have witnessed great success in handling graph-related tasks with Graph Neural Networks (GNNs). Despite their great academic success, Multi-Layer Perceptrons (MLPs) remain the primary workhorse for practical industrial applications. One reason for this academic-industrial gap is the neighborhood-fetching latency incurred by data dependency in GNNs, which make it hard to deploy for latency-sensitive applications that require fast inference. Conversely, without involving any feature aggregation, MLPs have no data dependency and infer much faster than GNNs, but their performance is less competitive. Motivated by these complementary strengths and weaknesses, we propose a Graph Self-Distillation on Neighborhood (GSDN) framework to reduce the gap between GNNs and MLPs. Specifically, the GSDN framework is based purely on MLPs, where structural information is only implicitly used as prior to guide knowledge self-distillation between the neighborhood and the target, substituting the explicit neighborhood information propagation as in GNNs. As a result, GSDN enjoys the benefits of graph topology-awareness in training but has no data dependency in inference. Extensive experiments have shown that the performance of vanilla MLPs can be greatly improved with self-distillation, e.g., GSDN improves over stand-alone MLPs by 15.54\% on average and outperforms the state-of-the-art GNNs on six datasets. Regarding inference speed, GSDN infers 75X-89X faster than existing GNNs and 16X-25X faster than other inference acceleration methods

    Flight-crash events in turbulence

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    The statistical properties of turbulence differ in an essential way from those of systems in or near thermal equilibrium because of the flux of energy between vastly different scales at which energy is supplied and at which it is dissipated. We elucidat

    Inequalities in Structural Social Capital and Health between Migrant and Local Hypertensive Patients

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    Background: Inequality in health between migrant and local hypertensive patients is an important public health concern. This study aims to examine the associations of registration status with structural social capital and health of hypertensive patients, as well as how structural social capital operates in the relationship between registration status and health. Methods: We conducted an on-site based cross-sectional study in Shenzhen, China. A total of 1046 participants completed the survey. Information with respect to structural social capital, subjective and objective health outcomes was collected. Multiple logistic or linear regression models were used to test the associations across registration status, structural social capital and health outcomes. Results: The findings show that migrant hypertensive patients have lower structural social capital in terms of social contacts (10.87 vs. 10.41; β = –0.457, 95% CI: –0.866, –0.048) and poorer health outcomes, i.e., blood pressure control (56.4 vs. 43.6%; OR = 0.557, 95% CI: 0.364, 0.852) when compared to the local individuals. Meanwhile, individuals with lower structural social capital report poorer self-rated health. However, the differences in structural social capital between migrant and local hypertensives explain only a small proportion of the large inequalities in blood pressure control. Conclusions: Inequalities exist between migrant and local hypertensives in objective but not subjective health outcomes. Structural social capital associates with subjective health outcomes of hypertensive patients only. A modest extent of medication is found by structural social capital of registration health inequalities. Our study suggests that growing contacts providing support for migrant hypertensive patients should be an important goal of future strategies and policies. It also highlights the need for more research on mediating and moderating mechanisms in order to understand the relationship between registration status and health outcomes among hypertensive patients
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