Eliminating Flow Separation and Reducing Viscous Drag Through Boundary Layer Analysis and Manipulation

As both computers and flow-analyzing equations have increased in sophistication, Computational Fluid Dynamics (CFD) has evolved into a fixture for advanced aircraft design. While CFD codes have improved in accuracy and efficiency, their ability to encompass viscous effects is lacking in certain areas. For example, current CFD codes cannot accurately predict or correct for the increased drag due to these viscous effects at some flow conditions. However, by analyzing an airfoil's turbulent boundary layer, one can predict not only flow separation via the shape factor parameter, but also viscous drag via the momentum thickness. Various codes have been written which can calculate turbulent boundary layer parameters. The goal of my research is to develop procedures for modifying an airfoil (via its local pressure distribution) to eliminate boundary layer separation and/or to reduce viscous drag. The modifications to the local pressure distribution necessary to achieve these objectives will be determined using a direct-iterative method installed into a turbulent boundary layer analyzer. Furthermore, the modifications should preserve the basic characteristics of the original airfoil

Partner Relationships and Injection Sharing Practices Among Rural Appalachian Women

Background—The role of relationships in initiating and maintaining women’s risk behaviors has been established. However, understanding factors that may underlie partner relationships and women’s risky drug use, particularly in rural contexts, is limited. This study is the first to examine the association between injecting partners and women’s risky injection practices as a function of relationship power perception. Methods—Female participants were recruited from three rural jails in the Appalachian region. Women were randomly selected, provided informed consent, and screened for study eligibility criteria. This cross-sectional analysis focuses on women who inject drugs (WWID) during the year before entering jail (n=199). Main findings—Approximately three-quarters (76%) reported having a recent main male sexual partner with a history of injection drug use (IDU). Although having a risky partner independently increased the likelihood of women reporting shared injection practices, perceptions of relationship power significantly moderated the effect on shared needle (AOR = 0.02 [0.003, 0.23]; p = .001) and shared works (AOR = 0.17 [0.03, 0.95]; p = .04) use. Conclusions—This interaction indicated that for WWID with a recent injecting male partner, greater perception of relationship power was associated with a decreased likelihood of shared injection practices. Implications for clinical assessment and intervention are discussed

Cortactin phosphorylation regulates cell invasion through a pH-dependent pathway

Cortactin phosphorylation induces recruitment of the sodium-hydrogen exchanger NHE1 to invadopodia, resulting in pH changes that regulate cortactin-cofilin binding and invadopodium dynamics

Size and velocity-dispersion evolution of early-type galaxies in a Lambda cold dark matter universe

Early-type galaxies (ETGs) are observed to be more compact at z>2 than in the local Universe. Remarkably, much of this size evolution appears to take place in a short (1.8 Gyr) time span between z=2.2 and z=1.3, which poses a serious challenge to hierarchical galaxy formation models where mergers occurring on a similar timescale are the main mechanism for galaxy growth. We compute the merger-driven redshift evolution of stellar mass Mstar\propto(1+z)^aM, half-mass radius Re\propto(1+z)^aR and velocity-dispersion sigma0\propto(1+z)^asigma predicted by concordance Lambda cold dark matter for a typical massive ETG in the redshift range z=1.3-2.2. Neglecting dissipative processes, and thus maximizing evolution in surface density, we find -1.5<aM<-0.6, -1.9<aR<-0.7 and 0.06<asigma<0.22, under the assumption that the accreted satellites are spheroids. It follows that the predicted z=2.2 progenitors of z=1.3 ETGs are significantly less compact (on average a factor of 2 larger Re at given Mstar) than the quiescent galaxies observed at z>2. Furthermore, we find that the scatter introduced in the size-mass correlation by the predicted merger-driven growth is difficult to reconcile with the tightness of the observed scaling law. We conclude that - barring unknown systematics or selection biases in the current measurements - minor and major mergers with spheroids are not sufficient to explain the observed size growth of ETGs within the standard model.Comment: 20 pages, 14 figures, matching version published in MNRAS. Corrected plots in Figs 6, 7 and 8 with respect to previous versio

Cortactin regulates cofilin and N-WASp activities to control the stages of invadopodium assembly and maturation

Invadopodia are matrix-degrading membrane protrusions in invasive carcinoma cells. The mechanisms regulating invadopodium assembly and maturation are not understood. We have dissected the stages of invadopodium assembly and maturation and show that invadopodia use cortactin phosphorylation as a master switch during these processes. In particular, cortactin phosphorylation was found to regulate cofilin and Arp2/3 complex–dependent actin polymerization. Cortactin directly binds cofilin and inhibits its severing activity. Cortactin phosphorylation is required to release this inhibition so cofilin can sever actin filaments to create barbed ends at invadopodia to support Arp2/3-dependent actin polymerization. After barbed end formation, cortactin is dephosphorylated, which blocks cofilin severing activity thereby stabilizing invadopodia. These findings identify novel mechanisms for actin polymerization in the invadopodia of metastatic carcinoma cells and define four distinct stages of invadopodium assembly and maturation consisting of invadopodium precursor formation, actin polymerization, stabilization, and matrix degradation

The meaning and measurement of implementation climate

<p>Abstract</p> <p>Background</p> <p>Climate has a long history in organizational studies, but few theoretical models integrate the complex effects of climate during innovation implementation. In 1996, a theoretical model was proposed that organizations could develop a positive climate for implementation by making use of various policies and practices that promote organizational members' means, motives, and opportunities for innovation use. The model proposes that implementation climate--or the extent to which organizational members perceive that innovation use is expected, supported, and rewarded--is positively associated with implementation effectiveness. The implementation climate construct holds significant promise for advancing scientific knowledge about the organizational determinants of innovation implementation. However, the construct has not received sufficient scholarly attention, despite numerous citations in the scientific literature. In this article, we clarify the meaning of implementation climate, discuss several measurement issues, and propose guidelines for empirical study.</p> <p>Discussion</p> <p>Implementation climate differs from constructs such as organizational climate, culture, or context in two important respects: first, it has a strategic focus (implementation), and second, it is innovation-specific. Measuring implementation climate is challenging because the construct operates at the organizational level, but requires the collection of multi-dimensional perceptual data from many expected innovation users within an organization. In order to avoid problems with construct validity, assessments of within-group agreement of implementation climate measures must be carefully considered. Implementation climate implies a high degree of within-group agreement in climate perceptions. However, researchers might find it useful to distinguish implementation climate level (the average of implementation climate perceptions) from implementation climate strength (the variability of implementation climate perceptions). It is important to recognize that the implementation climate construct applies most readily to innovations that require collective, coordinated behavior change by many organizational members both for successful implementation and for realization of anticipated benefits. For innovations that do not possess these attributes, individual-level theories of behavior change could be more useful in explaining implementation effectiveness.</p> <p>Summary</p> <p>This construct has considerable value in implementation science, however, further debate and development is necessary to refine and distinguish the construct for empirical use.</p

Robust estimation of bacterial cell count from optical density

Optical density (OD) is widely used to estimate the density of cells in liquid culture, but cannot be compared between instruments without a standardized calibration protocol and is challenging to relate to actual cell count. We address this with an interlaboratory study comparing three simple, low-cost, and highly accessible OD calibration protocols across 244 laboratories, applied to eight strains of constitutive GFP-expressing E. coli. Based on our results, we recommend calibrating OD to estimated cell count using serial dilution of silica microspheres, which produces highly precise calibration (95.5% of residuals &lt;1.2-fold), is easily assessed for quality control, also assesses instrument effective linear range, and can be combined with fluorescence calibration to obtain units of Molecules of Equivalent Fluorescein (MEFL) per cell, allowing direct comparison and data fusion with flow cytometry measurements: in our study, fluorescence per cell measurements showed only a 1.07-fold mean difference between plate reader and flow cytometry data

HIV Stigma in Prisons and Jails: Results from a Staff Survey

With numerous HIV service gaps in prisons and jails, there has been little research on HIV stigma attitudes among correctional staff. Such attitudes may undermine HIV services for inmates at risk of or infected with HIV. This HIV stigma attitudes survey among 218 correctional staff in 32 US facilities (1) provides an overview of staff’s stigma attitudes, (2) reports psychometric analyses of domains in Earnshaw and Chaudoir’s HIV Stigma Framework (HSF), and (3) explores differences in stigma attitudes among different staff types. Overall, correctional and medical staff expressed non stigmatizing attitudes toward people living with HIV/AIDS, but perceived that stigma and discrimination exist in others. Factor analyses revealed a three factor structure capturing two mechanisms of the HSF (prejudice, discrimination). Few factor score differences were found by staff type or setting. Implications for correctional HIV services and future research on HIV stigma attitudes are discussed