‘I don’t go to the gigs to go to the gigs – I don’t give a shit about the gigs!’: Exploring gig attendance and older punk women

This article considers gig attendance amongst a sample of twenty-two older punk women. A feminist methodology was employed, with qualitative data collected through semi-structured interviewing with seventeen older punk women, and an additional five women answering questions by e-mail correspondence. With the majority of the research sample attending gigs on a regular basis, it could be assumed that this meant music was a significance part of ‘doing’ punk but this was realized to be quite a simplistic assumption. The article will consider this in more detail through discussing two key questions: What are the key reasons and motivators behind older punk women attending gigs? What barriers do these women face when it comes to gig attendance

The effect of realistic geometries on the susceptibility-weighted MR signal in white matter

Purpose: To investigate the effect of realistic microstructural geometry on the susceptibility-weighted magnetic resonance (MR) signal in white matter (WM), with application to demyelination. Methods: Previous work has modeled susceptibility-weighted signals under the assumption that axons are cylindrical. In this work, we explore the implications of this assumption by considering the effect of more realistic geometries. A three-compartment WM model incorporating relevant properties based on literature was used to predict the MR signal. Myelinated axons were modeled with several cross-sectional geometries of increasing realism: nested circles, warped/elliptical circles and measured axonal geometries from electron micrographs. Signal simulations from the different microstructural geometries were compared to measured signals from a Cuprizone mouse model with varying degrees of demyelination. Results: Results from simulation suggest that axonal geometry affects the MR signal. Predictions with realistic models were significantly different compared to circular models under the same microstructural tissue properties, for simulations with and without diffusion. Conclusion: The geometry of axons affects the MR signal significantly. Literature estimates of myelin susceptibility, which are based on fitting biophysical models to the MR signal, are likely to be biased by the assumed geometry, as will any derived microstructural properties.Comment: Accepted March 4 2017, in publication at Magnetic Resonance in Medicin

Applying interprofessional education to the practice setting.

Interprofessional education is a key requirement identified in various professional and regulatory body education standards in the UK. However, recent high-profile investigatory reports into adverse incidents in NHS organisations have demonstrated failures of translating interprofessional education into practice. This paper explores how a university in the south of England uses service improvement projects to address this. Working with key senior clinicians, small groups of students from a variety of professional backgrounds collaborate to address an identified problem in practice to bring about better, safer practice to benefit patients. This style of learning enables students to acquire essential attributes in preparation for employment, such as critical thinking, teamworking, ethical practice and leadership

Use of "Micro"-Corridors by Eastern Coyotes, Canis latrans, in a Heavily Urbanized Area: Implications for Ecosystem Management

We document the use of very narrow, linear corridors (termed “micro-corridors”) that facilitated movements by both a transient and a resident group of eastern Coyotes (Canis latrans) in a heavily urbanized area in north Boston, Massachusetts. Two corridors are discussed: one, a railroad line through downtown Boston; and two, a hole in a cemetery fence giving access to two separated cemeteries in a region of intense human development. Coyotes can be good subjects to illustrate the use of fragmented landscapes because they are common and thus are abundant enough to study yet are wary and avoid novel things and generally avoid people

Record Size Female Coyote, Canis latrans

On 11 March 2004 we recaptured and re-radio-collared an 8-9 yr old, 25.1 kg (55.3 lb), 157 cm long (tip of nose to tail tip) female Eastern Coyote (Canis latrans) in the town of Barnstable on Cape Cod, Massachusetts, that was originally captured in November 1998. This is believed to be the largest female Coyote ever recorded

Can Self-Organizing Maps accurately predict photometric redshifts?

We present an unsupervised machine learning approach that can be employed for estimating photometric redshifts. The proposed method is based on a vector quantization approach called Self--Organizing Mapping (SOM). A variety of photometrically derived input values were utilized from the Sloan Digital Sky Survey's Main Galaxy Sample, Luminous Red Galaxy, and Quasar samples along with the PHAT0 data set from the PHoto-z Accuracy Testing project. Regression results obtained with this new approach were evaluated in terms of root mean square error (RMSE) to estimate the accuracy of the photometric redshift estimates. The results demonstrate competitive RMSE and outlier percentages when compared with several other popular approaches such as Artificial Neural Networks and Gaussian Process Regression. SOM RMSE--results (using $\Delta$z=z$_{phot}$--z$_{spec}$) for the Main Galaxy Sample are 0.023, for the Luminous Red Galaxy sample 0.027, Quasars are 0.418, and PHAT0 synthetic data are 0.022. The results demonstrate that there are non--unique solutions for estimating SOM RMSEs. Further research is needed in order to find more robust estimation techniques using SOMs, but the results herein are a positive indication of their capabilities when compared with other well-known methods.Comment: 5 pages, 3 figures, submitted to PAS

OGO-E cosmic radiation - Nuclear abundance experiment

OGO-E cosmic radiation detector