22,366 research outputs found

    Gender difference in the long-term impact of famine:

    Get PDF
    "An increasing literature examines the association between restricted fetal or early childhood growth and the incidence of diseases in adulthood. Little is known, however, about gender difference in this association. We assess the impact of nutritional deficiency in the early lives of survivors of the Chinese Great Famine in terms of health and economic welfare, paying special attention to gender differences. We found evidence of several significant negative impacts for female�but not male�survivors, and the gender differences are statistically significant. Furthermore, we show that the selection bias caused by differences in mortality plausibly explains more than two-thirds of the documented gender difference in the long-term health of famine survivors." from Author's AbstractFamine, Fetal origins hypothesis, Gender difference, Health and nutrition,

    Joint Decision-Directed Channel and Noise-Variance Estimation for MIMO OFDM/SDMA Systems Based on Expectation-Conditional Maximization

    No full text
    A joint channel impulse response (CIR) and noise-variance estimation scheme is proposed for multiuser multiple-input–multiple-output (MIMO) orthogonal frequency-division multiplexing/space-division multiple access (OFDM/SDMA) systems, which is based on the expectation-conditional maximization (ECM) algorithm. Multiple users communicating over fading channels exhibiting a range of different characteristics are considered in this paper. Channel estimation becomes quite challenging in this scenario since an increased number of independent transmitter–receiver links having different statistical characteristics have to be simultaneously estimated for each subcarrier. To cope with this scenario, we design an ECM-based joint CIR and noise-variance estimator for multiuser MIMO OFDM/SDMA systems, which is capable of simultaneously estimating diverse CIRs and noise variance. Furthermore, we propose a forward error code (FEC)-aided decision-directed channel estimation scheme based on the ECM algorithm, which further improves the ECM algorithm by exploiting the error correction capability of an FEC decoder for iteratively exchanging information between the decoder and the ECM algorithm
    corecore