The Moynihan Report Revisited

The controversial 1965 Moynihan report focused on the roots of black poverty in the U.S. and the decline of the black nuclear family. This report examines the state of black families today, gauging how their circumstances have changed since the 1960s and how they compare with other racial and ethnic groups

Evaluating effects of normobaric oxygen therapy in acute stroke with MRI-based predictive models

<p>Abstract</p> <p>Background</p> <p>Voxel-based algorithms using acute multiparametric-MRI data have been shown to accurately predict tissue outcome after stroke. We explored the potential of MRI-based predictive algorithms to objectively assess the effects of normobaric oxygen therapy (NBO), an investigational stroke treatment, using data from a pilot study of NBO in acute stroke.</p> <p>Methods</p> <p>The pilot study of NBO enrolled 11 patients randomized to NBO administered for 8 hours, and 8 Control patients who received room-air. Serial MRIs were obtained at admission, during gas therapy, post-therapy, and pre-discharge. Diffusion/perfusion MRI data acquired at admission (pre-therapy) was used in generalized linear models to predict the risk of lesion growth at subsequent time points for both treatment scenarios: NBO or Control.</p> <p>Results</p> <p>Lesion volume sizes 'during NBO therapy' predicted by Control-models were significantly larger (P = 0.007) than those predicted by NBO models, suggesting that ischemic lesion growth is attenuated during NBO treatment. No significant difference was found between the predicted lesion volumes at later time-points. NBO-treated patients, despite showing larger lesion volumes on Control-models than NBO-models, tended to have reduced lesion growth.</p> <p>Conclusions</p> <p>This study shows that NBO has therapeutic potential in acute ischemic stroke, and demonstrates the feasibility of using MRI-based algorithms to evaluate novel treatments in early-phase clinical trials.</p

Conservation of Sagebrush Ecosystems Through Diet Analysis of an Obligate Species

Sage Grouse (Centrocercus urophasianus) is an obligate species that depends on sagebrush to survive and serves as an indicator species and umbrella species for the sagebrush ecosystem. The sagebrush ecosystem has been declining rapidly therefore understanding the impacts on Sage Grouse could aid researchers and land managers in best practices to protect the long-term viability of the species, the ecosystem, and 350 other species that depend on it, including humans. One way to understand these impacts is through dietary indicators, such as the availability of preferred forage plants. In the past, this has been done by direct observation, which requires many hours in the field, and crop dissection, which involves collecting carcasses. These are both time-consuming and costly. Recent advances have shown that diet can be more easily and accurately determined through the sequencing of plant DNA in fecal samples targeting the ITS2 gene of plants. My project involves extracting plant DNA from fecal samples, optimizing a primer set for PCR of the ITS2 gene, performing DNA barcoding using next-generation sequencing, and comparing the results with reference genomes of plants

A multi-modal approach to measuring particulate iron speciation in buoyant hydrothermal plumes

Processes active within buoyant hydrothermal plumes are expected to modulate the flux of elements, such as Fe, to the deep ocean; however, they are yet to be described in a comprehensive manner through observations or models. In this study, we compare observed particulate Fe (pFe) speciation with thermodynamic (equilibrium) reaction path modeling for three vent fields in the Eastern Lau Spreading Center (ELSC). At each site, particles were collected from the buoyant rising portion of hydrothermal plumes using in situ filtration with a Remotely Operated Vehicle. Filter bound particles were analyzed by synchrotron micro-probe X-ray fluorescence mapping (XRF), X-ray diffraction (XRD), XRF spectroscopy, and X-ray absorption near edge structure (XANES) spectroscopy at the Fe 1 s edge, as well as XRF-based chemical speciation mapping for Fe. For buoyant plumes of the ELSC, diversity in solid-state chemistry was high, and poorly crystalline, meta-stable phases were common. We demonstrate that to fully describe the crystalline-to-noncrystalline character of plume pFe, a multi-modal XRD-XANES analytical approach is needed. We found that an equilibrium modeling approach worked well for pyrite but performed poorly for important families of meta-stable pFe, namely Fe (oxyhydr)oxides and monosulfides. Based on our findings, we recommend future field expeditions strategically explore sites representing a diversity of site-specific conditions to better capture the full range of processes active in plumes. We also recommend development of kinetic models, as well as expansion of thermodynamic databases to better reflect the solid-state composition of plumes. These steps should allow oceanographers to understand the processes controlling Fe speciation in plumes well enough to create realistic models of hydrothermal fluxes to the ocean

Registry-Based Cohort Study of Alpha-1 Antitrypsin Deficiency Prevalence, Incidence and Mortality in Denmark 2000-2018

OBJECTIVE: To estimate the prevalence of diagnosed alpha-1 antitrypsin deficiency (dAATD) in Denmark as of 31 December 2018, and dAATD incidence and mortality from 1 January 2000 to 31 December 2018. STUDY DESIGN AND SETTING: We used the Danish National Patient Registry to identify patients with dAATD based on the International Classification of Diseases, 10th Revision (ICD-10) code E88.0A and the Danish Civil Registration System (CRS) for population counts and vital status. We estimated dAATD prevalence, incidence and mortality. We compared mortality among patients with dAATD and an age-matched and sex-matched cohort extracted from the Danish CRS. We conducted a sensitivity analysis to examine whether coding changes during 2000-2018, from a general to a more specific ICD-10 code for AATD, and left truncation affected results appreciably. RESULTS: The prevalence of dAATD was 12.9 (95% CI 11.9 to 13.8) per 100 000 persons. The age distribution was bimodal, with peaks at ages ≤12 and ≥45 years. The incidence rate per 100 000 person-years was 0.90 (95% CI 0.85 to 0.96), again with a bimodal age distribution. Mortality was higher for patients with dAATD than for the general population (mortality rate ratio (mRR) 4.7, 95% CI 4.1 to 5.3), especially for children (mRR 33.8, 95% CI 6.8 to 167.4). The sensitivity analysis indicated that dAATD prevalence might have been as high as 19.7 per 100 000 persons due to less specific ICD-10 coding for AATD early in the study period or 21.4 per 100 000 persons correcting for left truncation. CONCLUSION: Diagnosed AATD was associated with increased mortality, especially for children. The finding for children was based on few deaths and had very wide 95% CIs

Lower Hemoglobin Correlates with Larger Stroke Volumes in Acute Ischemic Stroke

www.karger.com/cee This is an Open Access article licensed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License (www.karger.com/OA-license), applicable to the online version of the article only. Distribution for non-commercial purposes only

Lost in translation: The challenge of adapting integrated approaches for worker health and safety for low- and middle-income countries

Objectives: To describe the process of adapting an intervention integrating occupational safety and health (OSH) and health promotion for manufacturing worksites in India and the challenges faced in implementing it; and explore how globalization trends may influence the implementation of these integrated approaches in India and other low- and middle-income countries (LMICs). Methods: This study—conducted in 22 manufacturing worksites in Mumbai, India—adapted and implemented an evidence-based intervention tested in the U.S. that integrated OSH and tobacco control. The systematic adaptation process included formative research and pilot testing, to ensure that the tested intervention was tailored to the local setting. We used qualitative methods and process evaluation to assess the extent to which this intervention was implemented, and to explore barriers to implementation. Results: While participating worksites agreed to implement this intervention, not all components of the adapted intervention were implemented fully in the 10 worksites assigned to the intervention condition. We found that the OSH infrastructure in India focused predominantly on regulatory compliance, medical screening (secondary prevention) and the treatment of injuries. We observed generally low levels of leadership support and commitment to OSH, evidenced by minimal management participation in the intervention, reluctance to discuss OSH issues with the study team or workers, and little receptivity to recommendations resulting from the industrial hygienist’s reports. Conclusion: India presents one example of a LMIC with a rising burden of non-communicable diseases and intensified exposures to both physical and organizational hazards on the job. Our experiences highlight the importance of national and global trends that shape workers’ experiences on the job and their related health outcomes. Beyond a singular focus on prevention of non-communicable diseases, coordinated national and international efforts are needed to address worker health outcomes in the context of the conditions of work that clearly shape them

Matrix algorithms for solving (in)homogeneous bound state equations

In the functional approach to quantum chromodynamics, the properties of hadronic bound states are accessible via covariant integral equations, e.g. the Bethe-Salpeter equations for mesons. In particular, one has to deal with linear, homogeneous integral equations which, in sophisticated model setups, use numerical representations of the solutions of other integral equations as part of their input. Analogously, inhomogeneous equations can be constructed to obtain off-shell information in addition to bound-state masses and other properties obtained from the covariant analogue to a wave function of the bound state. These can be solved very efficiently using well-known matrix algorithms for eigenvalues (in the homogeneous case) and the solution of linear systems (in the inhomogeneous case). We demonstrate this by solving the homogeneous and inhomogeneous Bethe-Salpeter equations and find, e.g. that for the calculation of the mass spectrum it is more efficient to use the inhomogeneous equation. This is valuable insight, in particular for the study of baryons in a three-quark setup and more involved systems.Comment: 11 pages, 7 figure

Genome landscapes and bacteriophage codon usage

Across all kingdoms of biological life, protein-coding genes exhibit unequal usage of synonmous codons. Although alternative theories abound, translational selection has been accepted as an important mechanism that shapes the patterns of codon usage in prokaryotes and simple eukaryotes. Here we analyze patterns of codon usage across 74 diverse bacteriophages that infect E. coli, P. aeruginosa and L. lactis as their primary host. We introduce the concept of a `genome landscape,' which helps reveal non-trivial, long-range patterns in codon usage across a genome. We develop a series of randomization tests that allow us to interrogate the significance of one aspect of codon usage, such a GC content, while controlling for another aspect, such as adaptation to host-preferred codons. We find that 33 phage genomes exhibit highly non-random patterns in their GC3-content, use of host-preferred codons, or both. We show that the head and tail proteins of these phages exhibit significant bias towards host-preferred codons, relative to the non-structural phage proteins. Our results support the hypothesis of translational selection on viral genes for host-preferred codons, over a broad range of bacteriophages.Comment: 9 Color Figures, 5 Tables, 53 Reference