An experimental study of imperfectly conducting dipoles

Input admittances of imperfectly conducting dipole antennas measured in ultrahigh frequency rang

A Comparison Between the Variational Solution and the Experimental Data

Current distribution on dipole antenna with nonreflecting resistive loading, expressed using variation metho

On the Eccentricity Distribution of Exoplanets from Radial Velocity Surveys

We investigate the estimation of orbital parameters by least-$\chi^2$ Keplerian fits to radial velocity (RV) data using synthetic data sets. We find that while the fitted period is fairly accurate, the best-fit eccentricity and $M_p\sin i$ are systematically biased upward from the true values for low signal-to-noise ratio $K/\sigma\lesssim 3$ and moderate number of observations $N_{\rm obs}\lesssim 60$, leading to a suppression of the number of nearly circular orbits. Assuming intrinsic distributions of orbital parameters, we generate a large number of mock RV data sets and study the selection effect on the eccentricity distribution. We find the overall detection efficiency only mildly decreases with eccentricity. This is because although high eccentricity orbits are more difficult to sample, they also have larger RV amplitudes for fixed planet mass and orbital semi-major axis. Thus the primary source of uncertainties in the eccentricity distribution comes from biases in Keplerian fits to detections with low-amplitude and/or small $N_{\rm obs}$, rather than from selection effects. Our results suggest that the abundance of low-eccentricity exoplanets may be underestimated in the current sample and we urge caution in interpreting the eccentricity distributions of low-amplitude detections in future RV samples.Comment: Accepted for publication in Ap

Fault diagnosis and fault-tolerant control for nonlinear systems with linear output structure

Article describes the process of fault diagnosis and fault-tolerant control for nonlinear systems with linear output structure

Remittances and inequality: a dynamic migration model

We develop a model to study the effects of migration and remittances on inequality in the origin communities. While wealth inequality is shown to be monotonically reduced along the time-span, the short- and the long-run impacts on income inequality may be of opposite signs, suggesting that the dynamic relationship between migration/remittances and inequality may well be characterized by an inverse U-shaped pattern. This is consistent with the findings of the empirical literature, yet offers a different interpretation from the usually assumed migration network effects. With no need to endogenize migration costs through the role of migration networks, we generate the same result via intergenerational wealth accumulation

TRPA1 mediates sensation of the rate of temperature change in Drosophila larvae.

Avoidance of noxious ambient heat is crucial for survival. A well-known phenomenon is that animals are sensitive to the rate of temperature change. However, the cellular and molecular underpinnings through which animals sense and respond much more vigorously to fast temperature changes are unknown. Using Drosophila larvae, we found that nociceptive rolling behavior was triggered at lower temperatures and at higher frequencies when the temperature increased rapidly. We identified neurons in the brain that were sensitive to the speed of the temperature increase rather than just to the absolute temperature. These cellular and behavioral responses depended on the TRPA1 channel, whose activity responded to the rate of temperature increase. We propose that larvae use low-threshold sensors in the brain to monitor rapid temperature increases as a protective alert signal to trigger rolling behaviors, allowing fast escape before the temperature of the brain rises to dangerous levels

What Effect does the Size of the State-Owned Sector Have on Regional Growth in China?

This abstract will be reformatted upon submission. You don't need to format for line-breaks here!!!!! This paper tests the contributions of the size of state-owned enterprises as a determinant of China’s economic growth. The methodology is discussed in papers by Levine and Renelt (1992) and Sala-i-Martin (1997). We estimate regressions with growth of output and total factor productivity as the dependent variable and a variety of other factors, including measures of the size of the state-run sector, as regressors. We find that controlling for a variety of other factors, the greater the importance of state owned enterprises, as measured by the proportion of total industrial production they produce, the lower the provincial growth rate. The average estimate is that a decrease in the SOE share of industrial production by ten percentage points increases real GDP growth the following year by 1.14%. The average impacts of a reduction in the SOE share in employment are smaller in absolute magnitude and different for large provinces than they are for small ones. Large provinces actually have higher growth rates if this share rises, while smaller provinces have higher growth rates when it falls.growth regressions, China, State-Owned Enterprises