Molecular evolution in Panagrolaimus nematodes: origins of parthenogenesis, hermaphroditism and the Antarctic species P. davidi

10.1186/1471-2148-9-15BMC Evolutionary Biology911

The Relation Between Galaxy ISM and Circumgalactic OVI Gas Kinematics Derived from Observations and Λ\LambdaCDM Simulations

We present the first galaxy-OVI absorption kinematic study for 20 absorption systems (EW>0.1~{\AA}) associated with isolated galaxies (0.15$<z<$0.55) that have accurate redshifts and rotation curves obtained using Keck/ESI. Our sample is split into two azimuthal angle bins: major axis ($\Phi<25^{\circ}$) and minor axis ($\Phi>33^{\circ}$). OVI absorption along the galaxy major axis is not correlated with galaxy rotation kinematics, with only 1/10 systems that could be explained with rotation/accretion models. This is in contrast to co-rotation commonly observed for MgII absorption. OVI along the minor axis could be modeled by accelerating outflows but only for small opening angles, while the majority of the OVI is decelerating. Along both axes, stacked OVI profiles reside at the galaxy systemic velocity with the absorption kinematics spanning the entire dynamical range of their galaxies. The OVI found in AMR cosmological simulations exists within filaments and in halos of ~50 kpc surrounding galaxies. Simulations show that major axis OVI gas inflows along filaments and decelerates as it approaches the galaxy while increasing in its level of co-rotation. Minor axis outflows in the simulations are effective within 50-75 kpc beyond that they decelerate and fall back onto the galaxy. Although the simulations show clear OVI kinematic signatures they are not directly comparable to observations. When we compare kinematic signatures integrated through the entire simulated galaxy halo we find that these signatures are washed out due to full velocity distribution of OVI throughout the halo. We conclude that OVI alone does not serve as a useful kinematic indicator of gas accretion, outflows or star-formation and likely best probes the halo virial temperature.Comment: 24 pages, 21 figures, 4 tables. Accepted to ApJ on November 14, 201

Food Matters: Food Insecurity among Pregnant Adolescents and Infant Birth Outcomes

Objectives: The objectives of this study are to: (1) document prevalence of food insecurity among pregnant adolescents; (2) determine if food insecurity is associated with adverse birth outcomes (i.e., lower birth weight, earlier gestational age) among their newborns; and (3) examine whether depressive symptoms, anxiety, nutrition and/or weight gain mediate these associations. Methods: Pregnant adolescents (14-21 years old; N-881) in prenatal care at community hospitals and health centers in New York City completed a health and psychosocial survey during second and third trimesters of pregnancy. Birth weight and gestational age were recorded from medical records. Results: Over one-half of the adolescents reported food insecurity. Path analyses demonstrated that food insecurity was associated with lower birth weight and earlier gestational age. Depressive symptoms mediated these associations. Conclusions: Pregnant adolescents experience high rates of food insecurity. Those who were food insecure experienced more depressive symptoms, which in turn predicted adverse birth outcomes. Programs and policies should target these vulnerable children to stem the multi-generational effects of food insecurity

Measuring the association between body mass index and all-cause mortality in the presence of missing data: analyses from the Scottish national diabetes register:Missing data in the Scottish diabetes register

Incorrectly handling missing data can lead to imprecise and biased estimates. We describe the effect of applying different approaches to handling missing data in an analysis of the association between body mass index and all-cause mortality in people with type 2 diabetes. Data from the Scottish diabetes register linked to hospital admissions data and death registrations were used. The analysis was based on people diagnosed with type 2 diabetes between 2004 and 2011 with follow-up until 2014. The association between body mass index and mortality was investigated using Cox proportional hazard models with comparison of findings using four different missing data methods; complete case analysis, two multiple imputation models and nearest neighbour imputation. There were 124,451 cases of type 2 diabetes, among which there were 17,085 deaths during 787,275 person-years of follow-up. Patients with missing data (24.8%) had higher mortality than those without (Adjusted hazard ratio: 1.36 [95% confidence interval: 1.31-1.41]). A U-shaped relationship between body mass index and mortality was observed, with the lowest hazard ratios occurring amongst moderately obese people, regardless of the chosen approach for handling missing data. Missing data may affect absolute and relative risk estimates differently and should be considered in analyses of routine data

Assessing alternate sparger configurations to mitigate supply chain risks in single-use bioreactors

Consumable shortages throughout the pandemic introduced unanticipated challenges for continued manufacture of commercial biologics. With single-use systems, the bioreactors themselves are consumables that were impacted by these supply chain shortages. To ensure patient supply of necessary biologics, risk mitigation planning and determining suitable alternatives was required. In this presentation, we detail work performed to allow for continued manufacturing, while facing stock-out risks for single-use bioreactor bags used at both the seed and production stages. Specifically, this work focused on alternate sparger configurations, as the standard configuration used in the production bioreactor stage was unavailable. Additional options for added flexibility at the seed bioreactor stages were evaluated to address stock-out risks, and are discussed. Please click Additional Files below to see the full abstract

Computability limits non-local correlations

If the no-signalling principle was the only limit to the strength of non-local correlations, we would expect that any form of no-signalling correlation can indeed be realized. That is, there exists a state and measurements that remote parties can implement to obtain any such correlation. Here, we show that in any theory in which some functions cannot be computed, there must be further limits to non-local correlations than the no-signalling principle alone. We proceed to argue that even in a theory such as quantum mechanics in which non-local correlations are already weaker, the question of computability imposes such limits.Comment: 5 pages, 1 figure, revte

Biogeochemistry of upland to wetland soils, sediments, and surface waters across Mid-Atlantic and Great Lakes coastal interfaces

Transferable and mechanistic understanding of cross-scale interactions is necessary to predict how coastal systems respond to global change. Cohesive datasets across geographically distributed sites can be used to examine how transferable a mechanistic understanding of coastal ecosystem control points is. To address the above research objectives, data were collected by the EXploration of Coastal Hydrobiogeochemistry Across a Network of Gradients and Experiments (EXCHANGE) Consortium – a regionally distributed network of researchers that collaborated on experimental design, methodology, collection, analysis, and publication. The EXCHANGE Consortium collected samples from 52 coastal terrestrial-aquatic interfaces (TAIs) during Fall of 2021. At each TAI, samples collected include soils from across a transverse elevation gradient (i.e., coastal upland forest, transitional forest, and wetland soils), surface waters, and nearshore sediments across research sites in the Great Lakes and Mid-Atlantic regions (Chesapeake and Delaware Bays) of the continental USA. The first campaign measures surface water quality parameters, bulk geochemical parameters on water, soil, and sediment samples, and physicochemical parameters of sediment and soil

Quantitative measures of health policy implementation determinants and outcomes: A systematic review

BACKGROUND: Public policy has tremendous impacts on population health. While policy development has been extensively studied, policy implementation research is newer and relies largely on qualitative methods. Quantitative measures are needed to disentangle differential impacts of policy implementation determinants (i.e., barriers and facilitators) and outcomes to ensure intended benefits are realized. Implementation outcomes include acceptability, adoption, appropriateness, compliance/fidelity, feasibility, penetration, sustainability, and costs. This systematic review identified quantitative measures that are used to assess health policy implementation determinants and outcomes and evaluated the quality of these measures. METHODS: Three frameworks guided the review: Implementation Outcomes Framework (Proctor et al.), Consolidated Framework for Implementation Research (Damschroder et al.), and Policy Implementation Determinants Framework (Bullock et al.). Six databases were searched: Medline, CINAHL Plus, PsycInfo, PAIS, ERIC, and Worldwide Political. Searches were limited to English language, peer-reviewed journal articles published January 1995 to April 2019. Search terms addressed four levels: health, public policy, implementation, and measurement. Empirical studies of public policies addressing physical or behavioral health with quantitative self-report or archival measures of policy implementation with at least two items assessing implementation outcomes or determinants were included. Consensus scoring of the Psychometric and Pragmatic Evidence Rating Scale assessed the quality of measures. RESULTS: Database searches yielded 8417 non-duplicate studies, with 870 (10.3%) undergoing full-text screening, yielding 66 studies. From the included studies, 70 unique measures were identified to quantitatively assess implementation outcomes and/or determinants. Acceptability, feasibility, appropriateness, and compliance were the most commonly measured implementation outcomes. Common determinants in the identified measures were organizational culture, implementation climate, and readiness for implementation, each aspects of the internal setting. Pragmatic quality ranged from adequate to good, with most measures freely available, brief, and at high school reading level. Few psychometric properties were reported. CONCLUSIONS: Well-tested quantitative measures of implementation internal settings were under-utilized in policy studies. Further development and testing of external context measures are warranted. This review is intended to stimulate measure development and high-quality assessment of health policy implementation outcomes and determinants to help practitioners and researchers spread evidence-informed policies to improve population health. REGISTRATION: Not registered