Flamingo Vol. II N 4

Chaparral. Taking It Seriously . Prose. 1. Whiz Bang. Our History Lesson . Prose. 1. Ubersax, Delmar. Untitled. Picture. 4. Mather, William G. Frozen Fields . Poem. 5. A.F.T. Open Season . Prose. 6. Anonymous. Bob . Poem. 6. Anonymous. Untitled. Poem. 6. Mather, William G. Untitled. Poem. 6. R. Song . Poem. 7. Q. Woman\u27s Love . Poem. 7. Holt, Kilburn. A Lost Art . Poem. 7. C.B. A Sonnet . Poem. 7. Keeler, Clyde. Untitled. Picture. 9. Keeler, Clyde. Mid-Years . Picture. 0. Anonymous. Inside Stuff . Prose. 9. Anonymous. Untitled. prose. 9. Keeler, Clyde. untitled. Picture. 10. Anonymous. Untitled. Prose. 10. Anonymous. The First One: A Flapper\u27s Lament . Prose. 11. Keeler, Clyde. Untitled. Picture. 11. Keeler, Clyde. Untitled. Prose. 11. Schmitz, Edward. Untitled. Picture. 11. W.A.V. The Microbes . Picture. 11. Williams, Grace. Heaven\u27s Bells! Picture. 12. Anonymous. Heaven\u27s Bells! Prose. 12. Anonymous. Tragedy Picture. 12. Anonymous. Untitled. Picture. 12. Anonymous. Famous Hells Picture. 12. Anonymous. Denison\u27s Hall of Fame: Uncle Sam Brierly . Prose. 13. Anonymous. Untitled. Prose. 14. Anonymous. Anxious Moments . Cartoon. 16. Keeler, Clyde. Untitled. Picture. 18. Anonymous. Untitled. Prose. 18. Williams, Grace. Just An ordinary C-Man . Picture. 18. Anonymous. As The Denisonian Reporter Would Have Done it . Prose. 19. Anonymous. Untitled. Prose. 19. Anonymous. Not The Morning After-But The Same Night . Prose. 20. Ubersax, Delmar. Untitled. Picture. 20. Anonymous. Untitled. Prose. 20. Anonymous. Untitled. Picture. 20. Anonymous. Not A Flirtation . Prose. 20. Anonymous. Crossing The Bar . Poem. 20. Anonymous. Untitled. Prose. 22. Williams, Grace. Untitled. Picture. 23. Anonymous. Untitled. Prose. 23. Williams, Grace. Untitled. Picture. 24. Anonymous. Untitled. Prose. 24. Anonymous. Benny Says . Prose. 25. Jester. Thy Name is Woman . Prose. 25. W.G.K. An Ode to A Rabbit . Poem. 26. Anonymous. Untitled. Poem. 26. Anonymous. Untitled. Poem. 27. Keeler, Clyde. Untitled. Picture. 27. Y. Catastrophe . Poem. 28. Ed. Untitled. Picture. 29. Beanpot. We Know Her, Too . Prose. 29. Puppet. Anonymous. Prose. 30. Benapot. Untitled. Prose. 30. Wasp. Untitled. Prose. 30. Whiz Bang. Untitled. Prose. 30. Chaparral. A Flapper . Poem. 31. Whiz Bang. Untitled. Prose. 31. Jester. Untitled. Prose. 31. Reel, Virginia. Untitled. Prose. 32. O\u27Lantern, Jack. Untitled. Prose. 32. Sun Dodger. Untitled. Prose. 32. Beanpot. Untitled. Prose. 32. Jester. Untitled. Prose. 32

Observations and simulations of recurrent novae: U Sco and V394 CrA

Observations and analysis of the Aug. 1987 outburst of the recurrent nova V394 CrA are presented. This nova is extremely fast and its outburst characteristics closely resemble those of the recurrent nova U Sco. Hydrodynamic simulations of the outbursts of recurrent novae were performed. Results as applied to the outbursts of V394 CrA and U Sco are summarized

The effect of salvage therapy on survival in a longitudinal study with treatment by indication

We consider using observational data to estimate the effect of a treatment on disease recurrence, when the decision to initiate treatment is based on longitudinal factors associated with the risk of recurrence. The effect of salvage androgen deprivation therapy (SADT) on the risk of recurrence of prostate cancer is inadequately described by the existing literature. Furthermore, standard Cox regression yields biased estimates of the effect of SADT, since it is necessary to adjust for prostate-specific antigen (PSA), which is a time-dependent confounder and an intermediate variable. In this paper, we describe and compare two methods which appropriately adjust for PSA in estimating the effect of SADT. The first method is a two-stage method which jointly estimates the effect of SADT and the hazard of recurrence in the absence of treatment by SADT. In the first stage, PSA is predicted in the absence of SADT, and in the second stage, a time-dependent Cox model is used to estimate the benefit of SADT, adjusting for PSA. The second method, called sequential stratification, reorganizes the data to resemble a sequence of experiments in which treatment is conditionally randomized given the time-dependent covariates. Strata are formed, each consisting of a patient undergoing SADT and a set of appropriately matched controls, and analysis proceeds via stratified Cox regression. Both methods are applied to data from patients initially treated with radiation therapy for prostate cancer and give similar SADT effect estimates. Copyright © 2010 John Wiley & Sons, Ltd.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/78222/1/4017_ftp.pd

Observations of classical novae in outburst

The IUE obtained ultraviolet data on novae in outburst. The characteristics of every one of the outbursts are different. Optical and infrared data on many of the same novae were also obtained. Three members of the carbon-oxygen class of novae are presented

Using machine learning to study the kinematics of cold gas in galaxies

Next generation interferometers, such as the Square Kilometre Array, are set to obtain vast quantities of information about the kinematics of cold gas in galaxies. Given the volume of data produced by such facilities astronomers will need fast, reliable, tools to informatively filter and classify incoming data in real time. In this paper, we use machine learning techniques with a hydrodynamical simulation training set to predict the kinematic behaviour of cold gas in galaxies and test these models on both simulated and real interferometric data. Using the power of a convolutional autoencoder we embed kinematic features, unattainable by the human eye or standard tools, into a 3D space and discriminate between disturbed and regularly rotating cold gas structures. Our simple binary classifier predicts the circularity of noiseless, simulated, galaxies with a recall of 85% and performs as expected on observational CO and H i velocity maps, with a heuristic accuracy of 95%. The model output exhibits predictable behaviour when varying the level of noise added to the input data and we are able to explain the roles of all dimensions of our mapped space. Our models also allow fast predictions of input galaxies’ position angles with a 1σ uncertainty range of ±17° to ±23° (for galaxies with inclinations of 82.5° to 32.5°, respectively), which may be useful for initial parametrization in kinematic modelling samplers. Machine learning models, such as the one outlined in this paper, may be adapted for SKA science usage in the near future

Distinctive Personality Traits and Neural Correlates Associated with Stimulant Drug Use Versus Familial Risk of Stimulant Dependence

BackgroundStimulant drugs such as cocaine and amphetamine have a high abuse liability, but not everyone who uses them develops dependence. However, the risk for dependence is increased for individuals with a family history of addiction. We hypothesized that individuals without a family history of dependence who have been using cocaine recreationally for several years but have not made the transition to dependence will differ in terms of personality traits and brain structure from individuals who are either dependent on stimulants or at risk for dependence.MethodsWe compared 27 individuals without a familial risk of dependence who had been using cocaine recreationally with 50 adults with stimulant dependence, their nondependent siblings (n = 50), and unrelated healthy volunteers (n = 52) who had neither a personal nor a family history of dependence. All participants underwent a magnetic resonance imaging brain scan and completed a selection of personality measures that have been associated with substance abuse.ResultsIncreased sensation-seeking traits and abnormal orbitofrontal and parahippocampal volume were shared by individuals who were dependent on stimulant drugs or used cocaine recreationally. By contrast, increased levels of impulsive and compulsive personality traits and limbic-striatal enlargement were shared by stimulant-dependent individuals and their unaffected siblings.ConclusionsWe provide evidence for distinct neurobiological phenotypes that are either associated with familial vulnerability for dependence or with regular stimulant drug use. Our findings further suggest that some individuals with high sensation-seeking traits but no familial vulnerability for dependence are likely to use cocaine but may have relatively low risk for developing dependence

Gene-by-Environment Interaction in Non-Alcoholic Fatty Liver Disease and Depression: The Role of Hepatic Transaminases

Non-alcoholic fatty liver disease (NAFLD) encompasses a range of liver conditions, from benign fatty accumulation to severe fibrosis. The global prevalence of NAFLD has risen to 25-30%, with variations across ethnic groups. NAFLD may advance to hepatocellular carcinoma, increases cardiovascular risk, is associated with chronic kidney disease, and is an independent metabolic disease risk factor. Assessment methods for liver health include liver biopsy, magnetic resonance imaging, ultrasound, and vibration-controlled transient elastography (VCTE by FibroScan). Hepatic transaminases are cost-effective and minimally invasive liver health assessment methods options. This study focuses on the interaction between genetic factors underlying the traits (hepatic transaminases and the FibroScan results) on the one hand and the environment (depression) on the other. We examined 525 individuals at risk for metabolic disorders. We utilized variance components models and likelihood-based statistical inference to examine potential GxE interactions in markers of NAFLD, including aspartate aminotransferase (AST), alanine aminotransferase (ALT), and the AST/ALT ratio, and Vibration-Controlled Transient Elastography (VCTE by FibroScan). We calculated the Fibroscan-AST (FAST) score (a score that identifies the risk of progressive non-alcoholic steatohepatitis (NASH) and screened for depression using the Beck Depression Inventory-II (BDI-II). We identified significant G x E interactions for AST/ALT ratio x BDI-II, but not AST, ALT, or the FAST score. Our findings support that genetic factors play a role in hepatic transaminases, especially the AST/ALT ratio, with depression influencing this relationship. These insights contribute to understanding the complex interplay of genetics, environment, and liver health, potentially guiding future personalized interventions

Complementary role of cardiac CT in the assessment of aortic valve replacement dysfunction

Aortic valve replacement is the second most common cardiothoracic procedure in the UK. With an ageing population, there are an increasing number of patients with prosthetic valves that require follow-up. Imaging of prosthetic valves is challenging with conventional echocardiographic techniques making early detection of valve dysfunction or complications difficult. CT has recently emerged as a complementary approach offering excellent spatial resolution and the ability to identify a range of aortic valve replacement complications including structural valve dysfunction, thrombus development, pannus formation and prosthetic valve infective endocarditis. This review discusses each and how CT might be incorporated into a multimodal cardiovascular imaging pathway for the assessment of aortic valve replacements and in guiding clinical management

A Very Sensitive 21cm Survey for Galactic High-Velocity HI

Very sensitive HI 21cm observations have been made in 860 directions at dec >= -43deg in search of weak, Galactic, high-velocity HI emission lines at moderate and high Galactic latitudes. One-third of the observations were made toward extragalactic objects. The median 4-sigma detection level is NHI = 8x10^{17} cm^-2 over the 21' telescope beam. High-velocity HI emission is detected in 37% of the directions; about half of the lines could not have been seen in previous surveys. The median FWHM of detected lines is 30.3 km/s. High- velocity HI lines are seen down to the sensitivity limit of the survey implying that there are likely lines at still lower values of NHI. The weakest lines have a kinematics and distribution on the sky similar to that of the strong lines, and thus do not appear to be a new population. Most of the emission originates from objects which are extended over several degrees; few appear to be compact sources. At least 75%, and possibly as many as 90%, of the lines are associated with one of the major high-velocity complexes. The Magellanic Stream extends at least 10 deg to higher Galactic latitude than previously thought and is more extended in longitude as well. Although there are many lines with low column density, their numbers do not increase as rapidly as NHI^-1, so most of the HI mass in the high-velocity cloud phenomenon likely resides in the more prominent clouds. The bright HI features may be mere clumps within larger structures, and not independent objects.Comment: 88 pages includes 22 figures Accepted for Publication in ApJ Suppl. June 200