Does nativity matter?

The Russian Federation has experienced simultaneous declines in health and rises in international migration. Guided by the “healthy migrant effect†found elsewhere, we examine two questions. First, do the foreign-born in the Russian Federation exhibit better overall health than the native-born? Second, to the extent positive health selectivity exists, is it transferred to the second generation? Using the first wave of the Russian Generations and Gender Survey, our findings support the idea of positive health selection among international migrants from non-Slavic regions. The effect of migrant status, regardless of origin, diminishes when age, sex, and native language are taken into account.education, health, language, migration, Russian Federation, second generation, sex

Geographic Variation in Sex Ratios of the US Immigrant Population: Identifying Sources of Difference

This paper describes geographic variation in the sex composition of the foreign-born population in the US since 1990, and uses Blinder-Oaxaca decomposition to identify key sources of variation in regional sex ratios. We use data from the 1990 and 2000 US Censuses, and from the 2007–2011 American Community Survey, to create estimates of the size and characteristics of foreign-born populations at the level of Consistent Public-Use Microdata Areas. We find substantial local- and region-level variation in population sex ratios, with the highest sex ratios in the South and Midwest. This variation is partly explained by differences in the age- and national origin-composition of immigrants, but the effects of immigration history, age, and national origin on sex ratio vary substantially by region. The West in particular stands out as having high levels of unexplained difference from other regions. Future research is necessary to understand these regional differences in gendered immigration patterns

Gender, Family, and Community Attachment in a New Destination

As new immigrant destinations in the USA have become home to more settled immigrant populations, they are also becoming less male-dominated and attracting more women and families. But this process is occurring unevenly, with some new destinations much more attractive to women than others. The factors that might lead a destination to attract or retain women are not well understood. We draw on interviews with long-time Latin American residents in a non-metropolitan community in Utah with a fairly high proportion of women immigrants to analyze the ways in which gender and other factors relate to community attachment in this specific context. We examine gender differences in satisfaction with the community and experiences of discrimination and plans to remain in the community. Surprisingly, given current anti-immigrant trends in national politics, we found high levels of community attachment among both men and women. Although experiences of racism were common in our sample, many of the respondents were quick to downplay these experiences and focused instead on their overall positive assessment of the community. Women were more attuned to the experience of discrimination and less willing to downplay it. They were also less likely to have a long-term plan to remain in the community, but this appeared to be more related to their consideration of other family members’ long-term plans, rather than due to their experiences of discrimination. These findings have implications for understanding gendered settlement patterns as well as for promoting immigrant integration at the local level in an unfavorable political context

Immigration and Environment in the U.S.: A Spatial Study of Air Quality

Environmental consequences are frequently cited as a justification for restricting immigration to the United States, but there is little empirical research on the environmental consequences of immigration to support such arguments. The research that does exist shows immigration to be less environmentally harmful than native population growth, but is hampered by small samples and fails to account for spatial autocorrelation of air quality. We use the air quality domain of the Environmental Protection Agency’s Environmental Quality Index (EQI) to examine the association between immigrant and native populations and local air quality across all counties in the continental U.S. We employ spatial models to account for spatial autocorrelation of air quality across the counties, controlling for indicators of economic development and location characteristics. We find that native population is strongly associated with worse air quality, while foreign-born population is associated with better air quality. However, this association varies by immigrant country of origin, with East Asian immigrants in particular associated with worse air quality, and by immigrants’ year of entry, with some immigration cohorts positively associated with air quality, and others negatively. These findings highlight the importance of population characteristics in understanding population-environment linkages

The Modern Universal Total Knee Arthroplasty: Maximized Value, Streamlined Efficiency

A universal total knee arthroplasty system able to accurately resurface either left or right knees of all shapes and sizes is compelling as there is an increased need for improved efficiency and value. With a modern universal total knee system, a single instrument tray can be utilized for more than 90% of cases and doesn’t require any specific customization or disposable instruments. This streamlined workflow is accomplished with unique instrumentation that features a symmetrical femoral and tibial implant for all patients. Symmetrical tibial implants have been shown to have equivalent outcomes and low complications compared to asymmetric tibial trays. The universal symmetrical femoral implant, with its deepened trochlear groove, allows for optimal patellar tracking and recent studies have demonstrated this symmetrical femoral implant to have comparable femoral rollback and axial rotation to native knees. This efficient instrumentation reduces overall inventory, decreases turnover times, and exposes fewer instruments that may otherwise be susceptible to contamination. All without detriment to the patient outcome or surgeon workflow. Studies have shown clinical scores of the modern universal total knee arthroplasty system are a great value not only to the surgeon but also to the healthcare system as a whole—a necessity in modern healthcare

Mix&Match: Towards Omitting Modelling Through In-Situ Alteration and Remixing of Model Repository Artifacts in Mixed Reality

The accessibility of tools to model artifacts is one of the core driving factors for the adoption of Personal Fabrication. Subsequently, model repositories like Thingiverse became important tools in (novice) makers' processes. They allow them to shorten or even omit the design process, offloading a majority of the effort to other parties. However, steps like measurement of surrounding constraints (e.g., clearance) which exist only inside the users' environment, can not be similarly outsourced. We propose Mix&Match a mixed-reality-based system which allows users to browse model repositories, preview the models in-situ, and adapt them to their environment in a simple and immediate fashion. Mix&Match aims to provide users with CSG operations which can be based on both virtual and real geometry. We present interaction patterns and scenarios for Mix&Match, arguing for the combination of mixed reality and model repositories. This enables almost modelling-free personal fabrication for both novices and expert makers.Comment: 12 pages, 15 figures, 1 table, To appear in the Proceedings of the ACM Conference on Human Factors in Computing Systems 2020 (CHI'20

The mitochondrial phosphate carrier: Role in oxidative metabolism, calcium handling and mitochondrial disease

The mitochondrial phosphate carrier (PiC) is a mitochondrial solute carrier protein, which is encoded by SLC25A3 in humans. PiC delivers phosphate, a key substrate of oxidative phosphorylation, across the inner mitochondrial membrane. This transport activity is also relevant for allowing effective mitochondrial calcium handling. Furthermore, PiC has also been described to affect cell survival mechanisms via interactions with cyclophilin D and the viral mitochondrial-localized inhibitor of apoptosis (vMIA). The significance of PiC has been supported by the recent discovery of a fatal human condition associated with PiC mutations. Here, we present first the early studies that lead to the discovery and molecular characterization of the PiC, then discuss the very recently developed mouse models for PiC and pathological mutations in the human SLC25A3 gene. © 2015

Epigenetic Mechanisms Regulate Stem Cell Expressed Genes Pou5f1 and Gfra1 in a Male Germ Cell Line

Male fertility is declining and an underlying cause may be due to environment-epigenetic interactions in developing sperm, yet nothing is known of how the epigenome controls gene expression in sperm development. Histone methylation and acetylation are dynamically regulated in spermatogenesis and are sensitive to the environment. Our objectives were to determine how histone H3 methylation and acetylation contribute to the regulation of key genes in spermatogenesis. A germ cell line, GC-1, was exposed to either the control, or the chromatin modifying drugs tranylcypromine (T), an inhibitor of the histone H3 demethylase KDM1 (lysine specific demethylase 1), or trichostatin (TSA), an inhibitor of histone deacetylases, (HDAC). Quantitative PCR (qPCR) was used to identify genes that were sensitive to treatment. As a control for specificity the Myod1 (myogenic differentiation 1) gene was analyzed. Chromatin immunoprecipitation (ChIP) followed by qPCR was used to measure histone H3 methylation and acetylation at the promoters of target genes and the control, Myod1. Remarkably, the chromatin modifying treatment specifically induced the expression of spermatogonia expressed genes Pou5f1 and Gfra1. ChIP-qPCR revealed that induction of gene expression was associated with a gain in gene activating histone H3 methylation and acetylation in Pou5f1 and Gfra1 promoters, whereas CpG DNA methylation was not affected. Our data implicate a critical role for histone H3 methylation and acetylation in the regulation of genes expressed by spermatogonia – here, predominantly mediated by HDAC-containing protein complexes

Machine learning uncovers the most robust self-report predictors of relationship quality across 43 longitudinal couples studies

Given the powerful implications of relationship quality for health and well-being, a central mission of relationship science is explaining why some romantic relationships thrive more than others. This large-scale project used machine learning (i.e., Random Forests) to 1) quantify the extent to which relationship quality is predictable and 2) identify which constructs reliably predict relationship quality. Across 43 dyadic longitudinal datasets from 29 laboratories, the top relationship-specific predictors of relationship quality were perceived-partner commitment, appreciation, sexual satisfaction, perceived-partner satisfaction, and conflict. The top individual-difference predictors were life satisfaction, negative affect, depression, attachment avoidance, and attachment anxiety. Overall, relationship-specific variables predicted up to 45% of variance at baseline, and up to 18% of variance at the end of each study. Individual differences also performed well (21% and 12%, respectively). Actor-reported variables (i.e., own relationship-specific and individual-difference variables) predicted two to four times more variance than partner-reported variables (i.e., the partner’s ratings on those variables). Importantly, individual differences and partner reports had no predictive effects beyond actor-reported relationship-specific variables alone. These findings imply that the sum of all individual differences and partner experiences exert their influence on relationship quality via a person’s own relationship-specific experiences, and effects due to moderation by individual differences and moderation by partner-reports may be quite small. Finally, relationship-quality change (i.e., increases or decreases in relationship quality over the course of a study) was largely unpredictable from any combination of self-report variables. This collective effort should guide future models of relationships

Remodeling of the Cortical Structural Connectome in Posttraumatic Stress Disorder:Results from the ENIGMA-PGC PTSD Consortium

BACKGROUND: Posttraumatic stress disorder (PTSD) is accompanied by disrupted cortical neuroanatomy. We investigated alteration in covariance of structural networks associated with PTSD in regions that demonstrate the case-control differences in cortical thickness (CT) and surface area (SA). METHODS: Neuroimaging and clinical data were aggregated from 29 research sites in >1,300 PTSD cases and >2,000 trauma-exposed controls (age 6.2-85.2 years) by the ENIGMA-PGC PTSD working group. Cortical regions in the network were rank-ordered by effect size of PTSD-related cortical differences in CT and SA. The top-n (n = 2 to 148) regions with the largest effect size for PTSD > non-PTSD formed hypertrophic networks, the largest effect size for PTSD < non-PTSD formed atrophic networks, and the smallest effect size of between-group differences formed stable networks. The mean structural covariance (SC) of a given n-region network was the average of all positive pairwise correlations and was compared to the mean SC of 5,000 randomly generated n-region networks. RESULTS: Patients with PTSD, relative to non-PTSD controls, exhibited lower mean SC in CT-based and SA-based atrophic networks. Comorbid depression, sex and age modulated covariance differences of PTSD-related structural networks. CONCLUSIONS: Covariance of structural networks based on CT and cortical SA are affected by PTSD and further modulated by comorbid depression, sex, and age. The structural covariance networks that are perturbed in PTSD comport with converging evidence from resting state functional connectivity networks and networks impacted by inflammatory processes, and stress hormones in PTSD