56 research outputs found

    Gender Bias and Intergenerational Educational Mobility: Theory and Evidence from China and India

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    We incorporate gender bias against girls in the family, the school and the labor market in a model of intergenerational persistence in schooling where parents self-finance children's education because of credit market imperfections. Parents may underestimate a girl's ability, expect lower returns, and assign lower weights to their welfare (``pure son preference''). The model delivers the widely-used linear conditional expectation function (CEF) under constant returns and separability, but generates an irrelevance theorem: parental bias does not affect relative mobility. With diminishing returns and complementarity, the CEF can be concave or convex, and gender bias affects both relative and absolute mobility. We test these predictions in India and China using data not subject to coresidency bias. The evidence rejects the linear CEF, both in rural and urban India, in favor of a concave relation. The girls face lower mobility irrespective of location in India when born to fathers with low schooling, but the gender gap closes when the fathers are college educated. In China, the CEF is convex for sons in urban areas, but linear in all other cases. The convexity for urban sons supports the complementarity hypothesis of Becker et al. (2018), and leads to gender divergence in relative mobility for the children of highly educated fathers. In urban China, and urban and rural India, the mechanisms are underestimation of ability of girls and unfavorable school environment. There is some evidence of pure son preference in rural India. The girls in rural China do not face bias in financial investment by parents, but they still face lower mobility when born to uneducated parents. Gender barriers in rural schools seem to be the primary mechanism, with no convincing evidence of parental bias

    Gender Bias and Intergenerational Educational Mobility: Theory and Evidence from China and India

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    We incorporate gender bias against girls in the family, the school and the labor market in a model of intergenerational persistence in schooling where parents self-finance children's education because of credit market imperfections. Parents may underestimate a girl's ability, expect lower returns, and assign lower weights to their welfare (``pure son preference''). The model delivers the widely-used linear conditional expectation function (CEF) under constant returns and separability, but generates an irrelevance theorem: parental bias does not affect relative mobility. With diminishing returns and complementarity, the CEF can be concave or convex, and gender bias affects both relative and absolute mobility. We test these predictions in India and China using data not subject to coresidency bias. The evidence rejects the linear CEF, both in rural and urban India, in favor of a concave relation. The girls face lower mobility irrespective of location in India when born to fathers with low schooling, but the gender gap closes when the fathers are college educated. In China, the CEF is convex for sons in urban areas, but linear in all other cases. The convexity for urban sons supports the complementarity hypothesis of Becker et al. (2018), and leads to gender divergence in relative mobility for the children of highly educated fathers. In urban China, and urban and rural India, the mechanisms are underestimation of ability of girls and unfavorable school environment. There is some evidence of pure son preference in rural India. The girls in rural China do not face bias in financial investment by parents, but they still face lower mobility when born to uneducated parents. Gender barriers in rural schools seem to be the primary mechanism, with no convincing evidence of parental bias

    Is Gender Destiny? Gender Bias and Intergenerational Educational Mobility in India

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    Many recent studies provide evidence of gender bias against girls in India, for example, in health, education expenditure, breast feeding, and sex selection. In contrast, the gender gap in schooling has narrowed substantially over the decades. Does gender convergence in schooling attainment imply that the girls in the younger generation in India enjoy equal educational opportunities as the boys? To analyze this question, we study intergenerational schooling persistence addressing both empirical and theoretical challenges. We incorporate gender bias against girls in the family, school and labor market in a Becker-Tomes model and derive mobility and investment equations that can be taken to data. Parents may underestimate a girl's ability, expect lower returns, and assign lower welfare weights (“pure son preference”). The model delivers the widely used linear conditional expectation function (CEF) for mobility under constant returns but generates strong predictions: parental bias cannot cause gender gap in relative mobility. With diminishing returns, the CEF is concave, and parental bias affects both relative and absolute mobility. Since coresidency causes severe underestimation of the gender gap, we use data from India Human Development Survey that includes nonresident children and parents. Evidence rejects the linear mobility CEF in favor of a concave relation (both rural and urban). The daughters of uneducated fathers face lower relative and absolute mobility irrespective of rural/urban location. We find gender equality in absolute mobility for the children of college educated fathers in urban areas, but not in villages. Theoretical insights help understand the mechanisms, suggesting underestimation of academic ability and unfavorable school environment for girls. Rural parents exhibit pure son preference. Differences in the incidence of unwanted girls and the impact of parental nonfinancial inputs explain the rural-urban differences. The standard linear model misses important heterogeneity and yields misleading conclusions such as no son preference in rural India

    Design of high SERS sensitive substrates based on branched Ti nanorods

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    Article reports a rational design of branched titanium (Ti) nanorods formed by glancing angle physical vapor deposition and their applications as substrates for surface-enhanced Raman scattering (SERS). The authors investigation provides a mechanism to fabricate sensitive SERS sensors of Ti nanorods that are known to be thermally and chemically stable and compatible with silicon-based electronics

    Multi-omics analysis identifies therapeutic vulnerabilities in triple-negative breast cancer subtypes

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    Triple-negative breast cancer (TNBC) is a collection of biologically diverse cancers characterized by distinct transcriptional patterns, biology, and immune composition. TNBCs subtypes include two basal-like (BL1, BL2), a mesenchymal (M) and a luminal androgen receptor (LAR) subtype. Through a comprehensive analysis of mutation, copy number, transcriptomic, epigenetic, proteomic, and phospho-proteomic patterns we describe the genomic landscape of TNBC subtypes. Mesenchymal subtype tumors display high mutation loads, genomic instability, absence of immune cells, low PD-L1 expression, decreased global DNA methylation, and transcriptional repression of antigen presentation genes. We demonstrate that major histocompatibility complex I (MHC-I) is transcriptionally suppressed by H3K27me3 modifications by the polycomb repressor complex 2 (PRC2). Pharmacological inhibition of PRC2 subunits EZH2 or EED restores MHC-I expression and enhances chemotherapy efficacy in murine tumor models, providing a rationale for using PRC2 inhibitors in PD-L1 negative mesenchymal tumors. Subtype-specific differences in immune cell composition and differential genetic/pharmacological vulnerabilities suggest additional treatment strategies for TNBC

    Do Twin Boundaries Always Strengthen Metal Nanowires?

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    It has been widely reported that twin boundaries strengthen nanowires regardless of their morphology—that is, the strength of nanowires goes up as twin spacing goes down. This article shows that twin boundaries do not always strengthen nanowires. Using classical molecular dynamics simulations, the authors show that whether twin boundaries strengthen nanowires depends on the necessary stress for dislocation nucleation, which in turn depends on surface morphologies. When nanowires are circular cylindrical, the necessary stress of dislocation nucleation is high and the presence of twin boundaries lowers this stress; twin boundaries soften nanowires. In contrast, when nanowires are square cylindrical, the necessary stress of dislocation nucleation is low, and a higher stress is required for dislocations to penetrate twin boundaries; they strengthen nanowires

    From covalent bonding to coalescence of metallic nanorods

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    Growth of metallic nanorods by physical vapor deposition is a common practice, and the origin of their dimensions is a characteristic length scale that depends on the three-dimensional Ehrlich-Schwoebel (3D ES) barrier. For most metals, the 3D ES barrier is large so the characteristic length scale is on the order of 200 nm. Using density functional theory-based ab initio calculations, this paper reports that the 3D ES barrier of Al is small, making it infeasible to grow Al nanorods. By analyzing electron density distributions, this paper shows that the small barrier is the result of covalent bonding in Al. Beyond the infeasibility of growing Al nanorods by physical vapor deposition, the results of this paper suggest a new mechanism of controlling the 3D ES barrier and thereby nanorod growth. The modification of local degree of covalent bonding, for example, via the introduction of surfactants, can increase the 3D ES barrier and promote nanorod growth, or decrease the 3D ES barrier and promote thin film growth
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