928 research outputs found

    Changing Circumstances: Experiences of Child SSI Recipients Before and After Their Age-18 Redetermination for Adult Benefits

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    This paper provides an analysis of the dynamics of the transition of child Supplemental Security Income (SSI) recipients into adulthood using linked 2001-2002 National Survey of Children and Families (NSCF) survey and Social Security Administration (SSA) administrative data. We examine the interaction of impairment status, reported health needs, and other self-reported indicators of human capital on SSI program and employment outcomes after age 18. Our primary objective is to examine the differences in pre-age-18 individual characteristics across subgroups of recipients by impairment status and determine whether these differences influence post-age-18 SSI participation and employment outcomes. We find that after controlling for measures of disability severity, duration, and human capital, youth with other mental and behavioral disorders are much less likely to receive SSI at age 19. The findings also suggest that non-health factors, particularly education, employment, and social indicators, play an important role in the probability of a child SSI recipient being on adult SSI after age 18. Our findings indicate that, while some youth appear to be making a successful transition from child SSI benefits to adult benefits or other activities (off of SSI), others appear to have limited prospects for long-term self-sufficiency. A major concern is that some youth no longer on SSI after age 18, particularly those with other mental and behavioral disorders, may not have been sufficiently prepared for life without SSI and might not have enough human capital or other supports to become self-sufficient during their adult years

    Evolution of YidC/Oxa1/Alb3 insertases: three independent gene duplications followed by functional specialization in bacteria, mitochondria and chloroplasts

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    Members of the YidC/Oxa1/Alb3 protein family facilitate the insertion, folding and assembly of proteins of the inner membranes of bacteria and mitochondria and the thylakoid membrane of plastids. All homologs share a conserved hydrophobic core region comprising five transmembrane domains. On the basis of phylogenetic analyses, six subgroups of the family can be distinguished which presumably arose from three independent gene duplications followed by functional specialization. During evolution of bacteria, mitochondria and chloroplasts, subgroup-specific regions were added to the core domain to facilitate the association with ribosomes or other components contributing to the substrate spectrum of YidC/Oxa1/Alb3 proteins

    Biopython: freely available Python tools for computational molecular biology and bioinformatics

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    Summary: The Biopython project is a mature open source international collaboration of volunteer developers, providing Python libraries for a wide range of bioinformatics problems. Biopython includes modules for reading and writing different sequence file formats and multiple sequence alignments, dealing with 3D macro molecular structures, interacting with common tools such as BLAST, ClustalW and EMBOSS, accessing key online databases, as well as providing numerical methods for statistical learning. Availability: Biopython is freely available, with documentation and source code at www.biopython.org under the Biopython license. Contact: All queries should be directed to the Biopython mailing lists, see www.biopython.org/wiki/[email protected]

    How do we get people into contact? Predictors of intergroup contact and drivers of contact seeking

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    Compared to the impressive amount of research on consequences of intergroup contact, relatively little work has been devoted to predictors of intergroup contact. Although opportunities for intergroup contact are constantly growing in modern diverse societies, these contact opportunities are not necessarily exploited. In the present review article, we describe current research on predictors of intergroup contact and drivers of contact seeking on a micro‐, meso‐, and macro‐level. We provide an overview of predictors, while focusing on recent research that is especially relevant for designing interventions and planning social policies aiming at increasing contact between different groups in varied societies. On the micro‐level, we discuss relational self‐expansion motives and confidence in contact as predictors of intergroup contact. On the meso‐level, we focus on the role of intragroup processes and historical intergroup conflicts in facilitating contact. On the macro‐level, we reflect on changing societal norms as a potential tool to increase the frequency intergroup contact. By focusing on the applied value of research findings, discussing diverse predictors, and applying a multilevel approach, we also address recent criticisms of the intergroup contact literature and demonstrate the generative nature of contemporary research in this area

    Mammary molecular portraits reveal lineage-specific features and progenitor cell vulnerabilities.

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    The mammary epithelium depends on specific lineages and their stem and progenitor function to accommodate hormone-triggered physiological demands in the adult female. Perturbations of these lineages underpin breast cancer risk, yet our understanding of normal mammary cell composition is incomplete. Here, we build a multimodal resource for the adult gland through comprehensive profiling of primary cell epigenomes, transcriptomes, and proteomes. We define systems-level relationships between chromatin-DNA-RNA-protein states, identify lineage-specific DNA methylation of transcription factor binding sites, and pinpoint proteins underlying progesterone responsiveness. Comparative proteomics of estrogen and progesterone receptor-positive and -negative cell populations, extensive target validation, and drug testing lead to discovery of stem and progenitor cell vulnerabilities. Top epigenetic drugs exert cytostatic effects; prevent adult mammary cell expansion, clonogenicity, and mammopoiesis; and deplete stem cell frequency. Select drugs also abrogate human breast progenitor cell activity in normal and high-risk patient samples. This integrative computational and functional study provides fundamental insight into mammary lineage and stem cell biology
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