12,211 research outputs found

    Gender and ethnicity-married immigrants in Britain

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    In this paper we investigate economic activity of female immigrants and their husbands in Britain. We distinguish between two immigrant groups: foreign born females who belong to an ethnic minority group and their husbands, and foreign born females who are white and their husbands. We compare these to native born white women and their husbands. Our analysis deviates from the usual mean analysis and investigates employment, hours worked and earnings for males and females, as well as their combined family earnings, along the distribution of husbands’ economic potential. We analyse the extent to which economic disadvantage may be reinforced on the household level. We investigate to what extent disadvantage can be explained by differences in observable characteristics. We analyse employment assimilation for all groups over the migration cycle. Our main results are that white female immigrants and their husbands are quite successful, with an overall advantage in earnings over white native born both individually and at the household level. On the other hand, minority immigrants and their husbands are less successful, in particular at the lower end of the husband’s distribution of economic potential. This is mainly due to low employment of both genders, which leads to disadvantage in earnings, intensified at the household level. Only part of this differential can be explained by observable characteristics. Over the migration cycle, the data suggests that employment differentials are large at entry for white immigrant females, and even larger for minority females, but the gap to the native born closes. Assimilation is more rapid for white females

    Optimal control for one-qubit quantum sensing

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    Quantum systems can be exquisite sensors thanks to their sensitivity to external perturbations. This same characteristic also makes them fragile to external noise. Quantum control can tackle the challenge of protecting quantum sensors from environmental noise, while leaving their strong coupling to the target field to be measured. As the compromise between these two conflicting requirements does not always have an intuitive solution, optimal control based on numerical search could prove very effective. Here we adapt optimal control theory to the quantum sensing scenario, by introducing a cost function that, unlike the usual fidelity of operation, correctly takes into account both the unknown field to be measured and the environmental noise. We experimentally implement this novel control paradigm using a Nitrogen Vacancy center in diamond, finding improved sensitivity to a broad set of time varying fields. The demonstrated robustness and efficiency of the numerical optimization, as well as the sensitivity advantaged it bestows, will prove beneficial to many quantum sensing applications

    Labour market performance of immigrants in the UK labour market

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    From executive summary: This document is a report commissioned by the Home Office to analyse the performance of immigrants in the UK labour market. It attempts to draw a comprehensive picture of the labour market performance of immigrants, and the process of adaptation relative to the UK-born white population. Four indicators of economic performance are investigated: (i) employment, (ii) labour force participation, (iii) self-employment, and (iv) wages. The analysis distinguishes between males and females, and between groups of different origin. The effects of specific variables on these outcomes are investigated in detail. The report also considers labour market outcomes of ethnic minority individuals who are born in the UK, and compares their outcomes with those of UK-born white individuals, and of ethnic minority individuals who are foreign-born

    A Discussion on Dirac Field Theory, No-Go Theorems and Renormalizability

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    We study Dirac field equations coupled to electrodynamics with metric and torsion fields: we discuss how special spinorial solutions are incompatible with torsion; eventually these results will be used to sketch a discussion on the problem of renormalizability of point-like particles.Comment: 10 page

    Overexpression of ultraconserved region 83-induces lung cancer tumorigenesis

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    The expression of non–coding RNAs (ncRNAs) is dysregulated in human cancers. The transcribed ultraconserved regions (T-UCRs) express long ncRNAs involved in human carcinogenesis. T-UCRs are non-coding genomic sequence that are 100% conserved across humans, rats and mice. Conservation of genomic sequences across species intrinsically implies an essential functional role and so we considered the expression of T-UCRs in lung cancer. Using a custom microarray we analyzed the global expression of T-UCRs. Among these T-UCRs, the greatest variation was observed for antisense ultraconserved element 83 (uc.83-), which was upregulated in human lung cancer tissues compared with adjacent non cancerous tissues. Even though uc.83- is located within the long intergenic non-protein coding RNA 1876 (LINC01876) gene, we found that the transcribed uc.83- is expressed independently of LINC01876 and was cloned as a 1143-bp RNA gene. In this study, functional analysis confirmed important effects of uc.83- on genes involved in cell growth of human cells. siRNA against uc.83- decreased the growth of lung cancer cells while the upregulation through a vector overexpressing the uc.83- RNA increased cell proliferation. We also show the oncogenic function of uc.83- is mediated by the phosphorylation of AKT and ERK 1/2, two important biomarkers of lung cancer cell proliferation. Based on our findings, inhibition against uc.83- could be a future therapeutic treatment for NSCLC to achieve simultaneous blockade of pathways involved in lung carcinogenesis

    An empirical mass-loss law for Population II giants from the Spitzer-IRAC survey of Galactic globular clusters

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    The main aim of the present work is to derive an empirical mass-loss (ML) law for Population II stars in first and second ascent red giant branches. We used the Spitzer InfraRed Array Camera (IRAC) photometry obtained in the 3.6-8 micron range of a carefully chosen sample of 15 Galactic globular clusters spanning the entire metallicity range and sampling the vast zoology of horizontal branch (HB) morphologies. We complemented the IRAC photometry with near-infrared data to build suitable color-magnitude and color-color diagrams and identify mass-losing giant stars. We find that while the majority of stars show colors typical of cool giants, some stars show an excess of mid-infrared light that is larger than expected from their photospheric emission and that is plausibly due to dust formation in mass flowing from them. For these stars, we estimate dust and total (gas + dust) ML rates and timescales. We finally calibrate an empirical ML law for Population II red and asymptotic giant branch stars with varying metallicity. We find that at a given red giant branch luminosity only a fraction of the stars are losing mass. From this, we conclude that ML is episodic and is active only a fraction of the time, which we define as the duty cycle. The fraction of mass-losing stars increases by increasing the stellar luminosity and metallicity. The ML rate, as estimated from reasonable assumptions for the gas-to-dust ratio and expansion velocity, depends on metallicity and slowly increases with decreasing metallicity. In contrast, the duty cycle increases with increasing metallicity, with the net result that total ML increases moderately with increasing metallicity, about 0.1 Msun every dex in [Fe/H]. For Population II asymptotic giant branch stars, we estimate a total ML of <0.1 Msun, nearly constant with varying metallicity.Comment: 17 pages, 9 figures, in press on A&
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