Economic Reform and Changing Patterns of Labor Force Participation in Urban and Rural China

In this project, we employ data from the Chinese population censuses of 1982, 1990, and 2000 to examine reform-era changes in the patterns of male and female labor force participation and in the distribution of men’s and women’s occupational attainment. Very marked patterns of change in labor force participation emerge when we disaggregate the data by age cohort, marital status, sex, and rural/urban location. Women have decreased their labor force participation more than men, and urban women much more than rural women. Single young people in urban areas have decreased their labor force participation to stay in school to a much greater extent than single young people in rural areas. The urban elderly have decreased their rates of labor force participation while the rural elderly have increased theirs. We also find evidence of the feminization of agriculture.http://deepblue.lib.umich.edu/bitstream/2027.42/40173/3/wp787.pd

A Comparison of Reform-Era Labor Force Participation Rates of China’s Ethnic Minorities and Han Majority

Previous research suggests that minorities are not faring well in China’s transition—both income and occupational attainment gaps are widening. We are particularly interested in whether the differences in majority and minority economic outcomes are the result of ethnicity per se, or whether they are artifacts of local economic conditions. In this paper, we employ data from the three most recent population censuses of China to explore differences in the labor force participation rates of a number of China’s important ethnic groups. We estimate urban labor force participation rates using probit regressions controlling for sex, marital status, educational attainment, age, ethnicity, and location. We also account for the geographic concentration of particular ethnic minorities and compare the participation rates of different ethnic groups within geographic regions that represent the areas of principal residence for each minority. We concentrate on seven important minority groups: Hui, Koreans, Manchu, Mongolians, Uygurs, Yi and Zhuang. We find that location has limited explanatory power in explaining differences in the probability of labor force participation between these important Chinese ethnic minorities and the majority Han.http://deepblue.lib.umich.edu/bitstream/2027.42/40181/3/wp795.pd

A Comparison and Decomposition of Reform-Era Labor Force Participation Rates of China's Ethnic Minorities and Han Majority

This paper examines differences in China's ethnic majority and minority patterns of labor force participation and decomposes these differences into treatment and endowment effects using the technique developed by Borooah and Iyer (2005). Population census data are used to estimate gender-separated urban labor force participation rates (lfpr) using logit regressions which control for educational attainment, marital status, pre-school and school-age children, household size, age, and measures of local economic conditions. We focus on six minority groups (Hui, Koreans, Manchu, Mongolians, Uygurs, and Zhuang) and the majority Han. We find sizable differences between the lfpr of urban women of particular ethnic groups and the majority Han. Men's lfpr are very high and exhibit little difference between Han and ethnic minorities. For almost all pair-wise comparisons between Han and minority women, we find that differences in coefficients account for more than 100% of the Han-ethnic difference in labor force participation. Differences in endowments often have substantial effects in reducing this positive Han margin in labor force participation. Roughly speaking, treatment of women's characteristics, whether in the market or socially, tend to increase the Han advantage in labor force participation. The levels of these characteristics on average tend to reduce this Han advantage.China, ethnic minorities, labor force participation, economic reform, population censuses

A Comparison of Reform-Era Labor Force Participation Rates of China’s Ethnic Minorities and Han Majority

Previous research suggests that minorities are not faring well in China’s transition—both income and occupational attainment gaps are widening. We are particularly interested in whether the differences in majority and minority economic outcomes are the result of ethnicity per se, or whether they are artifacts of local economic conditions. In this paper, we employ data from the three most recent population censuses of China to explore differences in the labor force participation rates of a number of China’s important ethnic groups. We estimate urban labor force participation rates using probit regressions controlling for sex, marital status, educational attainment, age, ethnicity, and location. We also account for the geographic concentration of particular ethnic minorities and compare the participation rates of different ethnic groups within geographic regions that represent the areas of principal residence for each minority. We concentrate on seven important minority groups: Hui, Koreans, Manchu, Mongolians, Uygurs, Yi and Zhuang. We find that location has limited explanatory power in explaining differences in the probability of labor force participation between these important Chinese ethnic minorities and the majority Han.China, ethnic minorities, labor force participation, economic reform, population censuses

Superconductivity without dependence on valence electron density in (Al, Zn, Co) doped YBCO systems

We adopted the x-ray diffraction, oxygen contents, positron annihilation technology and simulation methods to investigate systematically YBa₂Cu₃–x(Al,Zn,Co)xO₇–δ (x = 0–0.5) cuprates. The experimental results and simulated calculations support the existence of cluster effect. Moreover, it is concluded that the cluster effect is an important factor on suppression of the superconductivity and the Tc does not depend directly on the density of valence electron in the samples

Micro-object pose estimation with sim-to-real transfer learning using small dataset

International audience<span style="color: rgb(34, 34, 34); font-family: -apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Oxygen-Sans, Ubuntu, Cantarell, &quot;Helvetica Neue&quot;, sans-serif; font-size: 18px;"&gtThree-dimensional (3D) pose estimation of micro/nano-objects isessential for the implementation of automatic manipulation inmicro/nano-robotic systems. However, out-of-plane pose estimationof a micro/nano-object is challenging, since the images aretypically obtained in 2D using a scanning electron microscope (SEM)or an optical microscope (OM). Traditional deep learning basedmethods require the collection of a large amount of labeled datafor model training to estimate the 3D pose of an object from amonocular image. Here we present a sim-to-real learning-to-matchapproach for 3D pose estimation of micro/nano-objects. Instead ofcollecting large training datasets, simulated data is generated toenlarge the limited experimental data obtained in practice, whilethe domain gap between the generated and experimental data isminimized via image translation based on a generative adversarialnetwork (GAN) model. A learning-to-match approach is used to mapthe generated data and the experimental data to a low-dimensionalspace with the same data distribution for different pose labels,which ensures effective feature embedding. Combining the labeleddata obtained from experiments and simulations, a new trainingdataset is constructed for robust pose estimation. The proposedmethod is validated with images from both SEM and OM, facilitatingthe development of closed-loop control of micro/nano-objects withcomplex shapes in micro/nano-robotic systems.</span&g

The role of cation-dependent chloride transporters in neuropathic pain following spinal cord injury

<p>Abstract</p> <p>Background</p> <p>Altered Cl^-homeostasis and GABAergic function are associated with nociceptive input hypersensitivity. This study investigated the role of two major intracellular Cl^-regulatory proteins, Na⁺-K⁺-Cl^-cotransporter 1 (NKCC1) and K⁺-Cl^-cotransporter 2 (KCC2), in neuropathic pain following spinal cord injury (SCI).</p> <p>Results</p> <p>Sprague-Dawley rats underwent a contusive SCI at T9 using the MASCIS impactor. The rats developed hyperalgesia between days 21 and 42 post-SCI. Thermal hyperalgesia (TH) was determined by a decrease in hindpaw thermal withdrawal latency time (WLT) between days 21 and 42 post-SCI. Rats with TH were then treated with either vehicle (saline containing 0.25% NaOH) or NKCC1 inhibitor bumetanide (BU, 30 mg/kg, i.p.) in vehicle. TH was then re-measured at 1 h post-injection. Administration of BU significantly increased the mean WLT in rats (p < 0.05). The group administered with the vehicle alone showed no anti-hyperalgesic effects. Moreover, an increase in NKCC1 protein expression occurred in the lesion epicenter of the spinal cord during day 2–14 post-SCI and peaked on day 14 post-SCI (p < 0.05). Concurrently, a down-regulation of KCC2 protein was detected during day 2–14 post-SCI. The rats with TH exhibited a sustained loss of KCC2 protein during post-SCI days 21–42. No significant changes of these proteins were detected in the rostral region of the spinal cord.</p> <p>Conclusion</p> <p>Taken together, expression of NKCC1 and KCC2 proteins was differentially altered following SCI. The anti-hyperalgesic effect of NKCC1 inhibition suggests that normal or elevated NKCC1 function and loss of KCC2 function play a role in the development and maintenance of SCI-induced neuropathic pain.</p