Correcting Velocity Dispersions of Dwarf Spheroidal Galaxies for Binary Orbital Motion

We show that the measured velocity dispersions of dwarf spheroidal galaxies from about 4 to 10 km s^(–1) are unlikely to be inflated by more than 30% due to the orbital motion of binary stars and demonstrate that the intrinsic velocity dispersions can be determined to within a few percent accuracy using two-epoch observations with 1-2 yr as the optimal time interval. The crucial observable is the threshold fraction—the fraction of stars that show velocity changes larger than a given threshold between measurements. The threshold fraction is tightly correlated with the dispersion introduced by binaries, independent of the underlying binary fraction and distribution of orbital parameters. We outline a simple procedure to correct the velocity dispersion to within a few percent accuracy by using the threshold fraction and provide fitting functions for this method. We also develop a methodology for constraining properties of binary populations from both single- and two-epoch velocity measurements by including the binary velocity distribution in a Bayesian analysis

Mom-it helps when youre right here! Attenuation of neural stress markers in anxious youths whose caregivers are present during fMRI.

Close proximity to an attachment figure, such as a caregiver, has been shown to attenuate threat-related activity in limbic regions such as the hypothalamus in healthy individuals. We hypothesized that such features might be similarly attenuated by proximity during a potentially stressful situation in a clinically anxious population of youths. Confirmation of this hypothesis could support the role of attachment figures in the management of anxiety among children and adolescents. Three groups were analyzed: anxious children and adolescents who requested that their caregiver accompany them in the scanner room, anxious children and adolescents without their caregiver in the scanner room and healthy controls (each of N = 10). The groups were matched for age and, among the two anxious groups, for diagnosis (mean age 9.5). The children and adolescents were exposed to physical threat words during an fMRI assessment. Results indicate that activity in the hypothalamus, ventromedial, and ventrolateral prefrontal cortex were significantly reduced in anxious children and adolescents who requested that their caregiver accompany them in the scanner room compared to those without their caregiver in the scanner room. Mean activity in these regions in anxious children and adolescents with their caregiver in the scanner room was comparable to that of healthy controls. These data suggest links between social contact and neural mechanisms of emotional reactivity; specifically, presence of caregivers moderates the increase in anxiety seen with stressful stimuli. Capitalizing on the ability of anxious youths to manifest low levels of anxiety-like information processing in the presence of a caregiver could help in modeling adaptive function in behavioral treatments

Genetic Structure of the Rice Blast Pathogen (Magnaporthe oryzae) over a Decade in North Central California Rice Fields.

Rice blast, caused by the ascomycete Magnaporthe oryzae, is one of the most destructive rice diseases worldwide. Even though the disease has been present in California since 1996, there is no data for the pathogen population biology in the state. Using amplified fragment length polymorphisms and mating-type markers, the M. oryzae population diversity was investigated using isolates collected when the disease was first established in California and isolates collected a decade later. While in the 1990 samples, a single multilocus genotype (MLG) was identified (MLG1), over a decade later, we found 14 additional MLGs in the 2000 isolates. Some of these MLGs were found to infect the only rice blast-resistant cultivar (M-208) available for commercial production in California. The same samples also had a significant decrease of MLG1. MLG1 was found infecting the resistant rice cultivar M-208 on one occasion whereas MLG7 was the most common genotype infecting the M-208. MLG7 was identified in the 2000 samples, and it was not present in the M. oryzae population a decade earlier. Our results demonstrate a significant increase in genotypic diversity over time with no evidence of sexual reproduction and suggest a recent introduction of new virulent race(s) of the pathogen. In addition, our data could provide information regarding the durability of the Pi-z resistance gene of the M-208. This information will be critical to plant breeders in developing strategies for deployment of other rice blast resistance genes/cultivars in the future

An imaging neutron/gamma-ray spectrometer

We present the design and development of a dual-species, neutron/γ-ray imaging spectrometer for the identification and location of radioactive and special nuclear materials (SNM). Real-time detection and identification is important for locating fissile materials. These materials, specifically uranium and plutonium, emit neutrons and γ rays via spontaneous or induced fission. Co-located neutron and γ-ray emissions are a sure sign of fissile material, requiring very few spatially correlated events for a significant detection. Our instrument design detects neutrons and γ rays from all sources in its field of view, constructs images of the emission pattern, and reports the spectra for both species. The detection principle is based upon multiple elastic neutron-proton scatters in organic scintillator for neutrons, and Compton scattering in organic scintillator followed by photoelectric absorption in inorganic scintillator for γ rays. The instrument is optimized for neutron imaging and spectroscopy in the 1-20 MeV range. We recorded images and spectra of a Cf-252 source from 0.5 - 10 MeV, and have done similarly for several γ-ray sources. We report the results of laboratory testing of this expanded instrument and compare them to detailed Monte Carlo simulations using Geant4

Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning

Traditionally, medical discoveries are made by observing associations and then designing experiments to test these hypotheses. However, observing and quantifying associations in images can be difficult because of the wide variety of features, patterns, colors, values, shapes in real data. In this paper, we use deep learning, a machine learning technique that learns its own features, to discover new knowledge from retinal fundus images. Using models trained on data from 284,335 patients, and validated on two independent datasets of 12,026 and 999 patients, we predict cardiovascular risk factors not previously thought to be present or quantifiable in retinal images, such as such as age (within 3.26 years), gender (0.97 AUC), smoking status (0.71 AUC), HbA1c (within 1.39%), systolic blood pressure (within 11.23mmHg) as well as major adverse cardiac events (0.70 AUC). We further show that our models used distinct aspects of the anatomy to generate each prediction, such as the optic disc or blood vessels, opening avenues of further research

Scaffolding patient counselling skills in Australian university pharmacy programs.

This paper presents the results of an appraisal of the extent of, and approaches to, scaffolding for development of counseling skills of pharmacy students across Australian universities. There were two stages in the work. The first involved mapping of university pharmacy program and examination of placement handbooks from all but two of the fourteen universities offering pharmacy programs in Australia. The second involved a series of consultations and interviews with key representatives of various pharmacy stakeholder groups and individuals at a national level and in each state and territory of Australia. University academics and preceptors described significant roles in supporting students to build these skills especially within the pre-placement and during placement phases. Across Australian pharmacy schools, scaffolding for development of counseling skills through a range of approaches is evident. There appears to be support for this approach from both students and preceptors. The results of this research will have relevance both for other health professional programs and other programs which include experiential workplace learning with respect to the preparation of students for workplace activities

Building and implementing knowledge: research and innovation inspired by the evolution of modern stadia.

This paper summarises how the evolution and advancement in sports stadia design within Arup, over the last 10 years, has been used as a catalyst for applied research programmes. The North West Structures Group has collaborated with several universities (UK and US based) to advance technical knowledge and understanding, and to ensure on-going innovation. Five doctoral research programmes have been produced focussing on critical issues such as crowd induced vibration, robustness of cable supported structures subjected to high velocity fragment impact, structural and geometrical optimisation and, design management. This paper will highlight some of the results obtained from each of these research programmes and how they have and can be filtered back into design. The primary aim of this paper is to demonstrate how opportunities can be seized when working on design projects to collaborate with universities and provide a platform for project based innovation in the construction industry