A method for determining nodal arrival times at the moon from precessing near-earth parking orbits having various inclinations

Effect of precession of near-earth orbits on timing of inplane launching for nodal encounter with moo

Transonic Flutter Characteristics of an Aspect-Ratio-4, 45 deg. Sweptback, Taper-Ratio-0.2 Plan Form

The results of several flutter investigations to determine the effects of plan-form variations on the flutter characteristics of thin cantilevered wings at transonic Mach numbers have been reported previously. In the present investigation the data are extended to include a wing having an aspect ratio of 4, 45 of sweepback, and a taper ratio of 0.2. The data were obtained in the Langley transonic blowdown tunnel over a Mach number range from 0.6 to 1.4. The experimental results indicate an abrupt and rather large increase in both a flutter-speed parameter and a flutter-frequency parameter as the Mach number is increased from 1.05 to 1.10. The foregoing is interpreted as indicating a marked change in the flutter mode. Calculated flutter speeds, based on incompressible-flow aerodynamic coefficients, were too high by 20 percent or more throughout the subsonic Mach number range of the investigation. Calculated flutter frequencies were about 7 percent too high at a Mach number of 0.65 and were about 20 percent too high at a Mach number of 0.9. No significant independent effects of thickness were indicated for the plan form investigated as the thickness was changed from 3 to 4 percent chord

Migrants, Refugees, and “Diversity” at German Universities: A Grounded Theory Analysis

Thesis advisor: Hans de WitThe current displacement crisis in the German context has focused scholarly attention on refugee student access to higher education. However, much less research has attended to supports at higher education institutions (HEIs) for enrolled migrant and refugee students. In fact, education research in the German setting rarely focuses on students from any migrant background, though these students comprise between 20-25% of all German tertiary enrollment. This study uses Constructivist Grounded Theory (Charmaz, 2014) and a postcolonial lens to analyze “equal opportunity” plans and programs at 32 German HEIs across all 16 federal states. Data sources include the “equal opportunity plan” unique to each HEI (Gleichstellungsplan) and interviews with “equal opportunity office” (Gleichstellungsbüro) faculty and staff. Key findings include a bureaucratization and numerification of diversity in the German case, as well as an almost exclusive focus on diversity as gender. This dissertation offers a potentially transferable theoretical model, which may be relevant in national settings with increasingly diverse student populations, histories of colonial possession or fantasy, or primarily public higher education systems (Bhabha, 1994; El-Tayeb, 2016; Kilomba, 2008; Said, 1979).Thesis (PhD) — Boston College, 2020.Submitted to: Boston College. Lynch School of Education.Discipline: Educational Leadership and Higher Education

Approaches to thermoset resins for direct-ink-write additive manufacturing

Polymer thermosets, which crosslink irreversibly, often have better strength, stability and environmental resilience than polymer thermoplastics, which contributes to the broad application of thermosets in electronics, structural materials, coatings and adhesives. However, additive manufacturing approaches for thermosets are still a developing field, with a limited number of commercially available printers and resins primarily targeted to stereolithography (SLA) printing. Interest in the development of direct-ink-write (DIW) methods for thermoset resins has increased significantly in the last several years. Approaches generally fall into two categories. Filled thermoset resins achieve the necessary rheological properties for printing by incorporation of moderate loadings of particles or fibers. Dual-cure resins are typically two-component resins which employ an in situ­‑curable component, to maintain the shape and structure of the printed article, followed by a final cure to crosslink the second resin component and impart improved mechanical, thermal, and chemical stability. This presentation will describe the development and optimization of a DIW dual-cure thermoset resin and the impacts of different component compositions on the printability, ‘green strength’, and final mechanical and thermal properties of the resins. The formation and evolution of interpenetrating polymer networks in dual-cure epoxy/acrylate formulations and initial studies on the impact of functionalized filler particles as network crosslinkers are described. Finally, the impact of acrylate functionality on green strength, acrylate network cure kinetics, and final properties will be reported. SAND2019-15066 A Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525

Lab Fattening and Non-invasive Estimates of Body Composition in Deer Mice

Total body electrical conductivity measurements and lipid composition were determined for the deer mouse (Peromyscus maniculatus) to derive species specific calibration equations for use with EM-SCAN estimates of lean and fat tissue. For each individual, total body electrical conductivity was measured by EM-SCAN, and actual lipid content was determined by chemical extraction. Then, using estimated and actual lipid values, separate calibration equations were generated for freshly captured (lean) and laboratory maintained (fat) individuals, and a combined equation was derived for all individuals. These equations were variable in the accuracy of lipid estimates; the lowest relative error estimate (percent body fat) was obtained with the equation for fat individuals while the highest error (percent body fat) was associated with the lean condition. Although high average error rates for lipid might preclude the use of this approach when absolute accuracy is necessary with lean individuals, estimates of lean tissue were very accurate regardless of body composition condition. When removed from the field and maintained in the laboratory, body composition changed significantly and quite rapidly with relative body fat doubling in six weeks. Thus, maintenance under laboratory conditions might affect physiologic and behavioral parameters in such subjects

Data Integration Innovations to Enhance Analytic Utility of Clinical Trial Content to Inform Health Disparities Research

Project Data Sphere (PDS) is a research platform that provides the research community with broad access to both de-identified patient-level data from oncology clinical trials and related analytic tools. While these data are rich in measures that characterize the clinical trials under study, data providers are required to de-identify patient-level data by removing key demographic data. To address these analytic constraints, the data profiles in selected PDS patient-level cancer phase III clinical datasets have been augmented by linking the social, economic, and health-related characteristics of like cancer survivors from nationally representative health and health care-related survey data. Using statistical linkage and model-based techniques, patient-level records in selected PDS datasets have been linked to those of comparable cancer survivors, and are thereby augmented with survey content on social, economic, and health-related characteristics. These new analytically enhanced PDS data resources enable more targeted analyses designed to examine questions such as how disparities in cancer patients' access to health care and income impact patient outcomes in specific phase III clinical trials, and what variations in patient outcomes are associated with specific demographic, socioeconomic, and health-related factors. This study provides an overview of the methodologies used to connect patient-level clinical trial data with nationally representative health-related data on cancer survivors from the national Medical Expenditure Panel Survey (MEPS). MEPS was designed to provide national population-based health care use, expenditure, and source of payment estimates in addition to measures of health status, demographic characteristics, employment, health insurance coverage, and access to health care. Study findings include probabilistic assessments of the representation of the patients in the respective clinical trials relative to the characteristics of cancer survivors in the general population. The study also demonstrates how the augmented datasets serve to enable researchers to assess the impact of socioeconomic factors added through data integration on cancer survival and related outcomes of interest