Suppression of Subsynchronous Vibration in the SSME HPFTP

Space Shuttle Main Engine (SSME) High Pressure Fuel Turbopump (HPFTP) hot-fire dynamic data evaluation and rotordynamic analysis both confirm that two of the most significant turbopump attributes in determining susceptibility to subsynchronous vibration are impeller interstage seal configuration and rotor sideload resulting from turbine turnaround duct configuration and hot gas manifold. Recent hot-fire testing has provided promising indications that the incorporation of roughened damping seals at the impeller interstages may further increase the stability margin of this machine. A summary of the analysis which led to the conclusion that roughened seals would enhance the stability margin is presented along with a correlation of the analysis with recent test data

Steady-state dynamics of Cajal body components in the Xenopus germinal vesicle

Cajal bodies (CBs) are evolutionarily conserved nuclear organelles that contain many factors involved in the transcription and processing of RNA. It has been suggested that macromolecular complexes preassemble or undergo maturation within CBs before they function elsewhere in the nucleus. Most such models of CB function predict a continuous flow of molecules between CBs and the nucleoplasm, but there are few data that directly support this view. We used fluorescence recovery after photobleaching (FRAP) on isolated Xenopus oocyte nuclei to measure the steady-state exchange rate between the nucleoplasm and CBs of three fluorescently tagged molecules: U7 small nuclear RNA, coilin, and TATA-binding protein (TBP). In the nucleoplasm, the apparent diffusion coefficients for the three molecules ranged from 0.26 to 0.40 μm2 s−1. However, in CBs, fluorescence recovery was markedly slower than in the nucleoplasm, and there were at least three kinetic components. The recovery rate within CBs was independent of bleach spot diameter and could not be attributed to high CB viscosity or density. We propose that binding to other molecules and possibly assembly into larger complexes are the rate-limiting steps for FRAP of U7, coilin, and TBP inside CBs

Hand surgery for Multicentric Reticulohistiocytosis: A new avenue of treatment and review of the literature

AbstractINTRODUCTIONMulticentric Reticulohistiocytosis (MRH) is a rare non-Langerhans cell histiocytosis characterised by destructive polyarthritis and violaceous skin papules.PRESENTATION OF CASEIn 2010, a 70-year-old woman with Palindromic Rheumatism was diagnosed with MRH. Within a few months, she developed ankylosis of the small joints of both hands which resulted in severe fixed flexion deformities of the fingers and thumbs. The joint disease failed to respond to medical therapies and the palmar skin of her left hand was becoming increasingly macerated. Therefore, she elected to undergo arthrodesis of the metacarpophalangeal joints to allow hand hygiene.DISCUSSIONTo-date, this is the first report of a surgical intervention for this rare condition and represents a novel avenue of potential therapy. Medical therapies for MRH are usually ineffective in preventing the debilitating small joint disease which often develops and there is on-going research into newer agents and alternative surgical techniques.CONCLUSIONOnce medical therapies are exhausted, clinicians should consider the input of Hand Surgeons in managing the inevitable and mutilating joint disease of this rare condition

Impact of dairy manure addition on soil nutrients in northeast and south central Kansas

Sixty four percent of the fields (14 of 22) in northeast and south central Kansas would be able to apply dairy manure on a nitrogen basis if the current swine manure application regulations were adopted. Due to high phosphorus levels in some fields, two of the 11 fields in northeast Kansas could not have any manure applied to them. Two other fields in northeast and four fields in south central Kansas would have to limit manure application rates to annual phosphorus required by the crops. Our results indicate minimal accumulation of nitrogen and potassium in the soil profile.; Dairy Day, 2001, Kansas State University, Manhattan, KS, 2001

Inferring the parallax of Westerlund 1 from Gaia DR2

Westerlund 1 (Wd1) is potentially the largest star cluster in the Galaxy. That designation critically depends upon the distance to the cluster, yet the cluster is highly obscured, making luminosity-based distance estimates difficult. Using {\it Gaia} Data Release 2 (DR2) parallaxes and Bayesian inference, we infer a parallax of $0.35^{+0.07}_{-0.06}$ mas corresponding to a distance of $2.6^{+0.6}_{-0.4}$ kpc. To leverage the combined statistics of all stars in the direction of Wd1, we derive the Bayesian model for a cluster of stars hidden among Galactic field stars; this model includes the parallax zero-point. Previous estimates for the distance to Wd1 ranged from 1.0 to 5.5 kpc, although values around 5 kpc have usually been adopted. The {\it Gaia} DR2 parallaxes reduce the uncertainty from a factor of 3 to 18\% and rules out the most often quoted value of 5 kpc with 99\% confidence. This new distance allows for more accurate mass and age determinations for the stars in Wd1. For example, the previously inferred initial mass at the main-sequence turn-off was around 40 M$_{\odot}$; the new {\it Gaia} DR2 distance shifts this down to about 22 M$_{\odot}$. This has important implications for our understanding of the late stages of stellar evolution, including the initial mass of the magnetar and the LBV in Wd1. Similarly, the new distance suggests that the total cluster mass is about four times lower than previously calculated.Comment: 14 pages, 10 figure

Vascular physiology drives functional brain networks

We present the first evidence for vascular regulation driving fMRI signals in specific functional brain networks. Using concurrent neuronal and vascular stimuli, we collected 30 BOLD fMRI datasets in 10 healthy individuals: a working memory task, flashing checkerboard stimulus, and CO2 inhalation challenge were delivered in concurrent but orthogonal paradigms. The resulting imaging data were averaged together and decomposed using independent component analysis, and three “neuronal networks” were identified as demonstrating maximum temporal correlation with the neuronal stimulus paradigms: Default Mode Network, Task Positive Network, and Visual Network. For each of these, we observed a second network component with high spatial overlap. Using dual regression in the original 30 datasets, we extracted the time-series associated with these network pairs and calculated the percent of variance explained by the neuronal or vascular stimuli using a normalized R2 parameter. In each pairing, one network was dominated by the appropriate neuronal stimulus, and the other was dominated by the vascular stimulus as represented by the end-tidal CO2 time-series recorded in each scan. We acquired a second dataset in 8 of the original participants, where no CO2 challenge was delivered and CO2 levels fluctuated naturally with breathing variations. Although splitting of functional networks was not robust in these data, performing dual regression with the network maps from the original analysis in this new dataset successfully replicated our observations. Thus, in addition to responding to localized metabolic changes, the brain’s vasculature may be regulated in a coordinated manner that mimics (and potentially supports) specific functional brain networks. Multi-modal imaging and advances in fMRI acquisition and analysis could facilitate further study of the dual nature of functional brain networks. It will be critical to understand network-specific vascular function, and the behavior of a coupled vascular-neural network, in future studies of brain pathology

Daughters\u27 Perspectives on Maternal Substance Abuse: Pledge to Be a Different Kind of Mother

The purpose of this grounded theory (Strauss & Corbin, 1998) study was to explore the experiences of racially and culturally diverse young mothers whose own mothers abused substances two decades ago when substance abuse peaked in inner city, urban neighborhoods in the United States and to identify the factors that have influenced how they parent their own children today. Semi-structured interviews were conducted with ten drug-free mothers who report having been raised by a mother who was addicted to drugs, primarily crack cocaine during their childhoods. The emergent grounded theory is that exposure to maternal substance abuse has a significant and unique impact on female children throughout their lifespan, with particular emphasis at the onset of motherhood. Among the goals the young mothers expressed is that they wanted to be there for their children, protect their daughters from sexual abuse, and raise sons who do not abuse women

Arterial CO2 fluctuations modulate neuronal rhythmicity: Implications for MEG and fMRI studies of resting-state networks

A fast emerging technique for studying human resting state networks (RSNs) is based on spontaneous temporal fluctuations in neuronal oscillatory power, as measured by magnetoencephalography. However, it has been demonstrated recently that this power is sensitive to modulations in arterial CO2 concentration. Arterial CO2 can be modulated by natural fluctuations in breathing pattern, as might typically occur during the acquisition of an RSN experiment. Here, we demonstrate for the first time the fine-scale dependence of neuronal oscillatory power on arterial CO2 concentration, showing that reductions in alpha, beta, and gamma power are observed with even very mild levels of hypercapnia (increased arterial CO2). We use a graded hypercapnia paradigm and participant feedback to rule out a sensory cause, suggesting a predominantly physiological origin. Furthermore, we demonstrate that natural fluctuations in arterial CO2, without administration of inspired CO2, are of a sufficient level to influence neuronal oscillatory power significantly in the delta-, alpha-, beta-, and gamma-frequency bands. A more thorough understanding of the relationship between physiological factors and cortical rhythmicity is required. In light of these findings, existing results, paradigms, and analysis techniques for the study of resting-state brain data should be revisited