The colliding flows (CF) model is a well-supported mechanism for generating molecular clouds. However, to-date most CF simulations have focused on the formation of clouds in the normal-shock layer between head-on colliding flows. We performed simulations of magnetized colliding flows that instead meet at an oblique-shock layer. Oblique shocks generate shear in the post-shock environment, and this shear creates inhospitable environments for star formation. As the degree of shear increases (i.e. the obliquity of the shock increases), we find that it takes longer for sink particles to form, they form in lower numbers, and they tend to be less massive. With regard to magnetic fields, we find that even a weak field stalls gravitational collapse within forming clouds. Additionally, an initially oblique collision interface tends to reorient over time in the presence of a magnetic field, so that it becomes normal to the oncoming flows. This was demonstrated by our most oblique shock interface, which became fully normal by the end of the simulation.

Informed by our lived experiences with eating disorders, our work providing direct support to communities underserved by existing healthcare structures, and our commitment to social justice, we are deeply troubled by several aspects of the proposed characteristics for “terminal” anorexia nervosa outlined by Gaudiani et al. in Journal of Eating Disorders (10:23, 2022). We have identified two substantial areas of concern in the proposed characteristics provided by Gaudiani et al. and the subsequent publication by Yager et al. (10:123, 2022). First, the original article and the subsequent publication fail to adequately address the widespread inaccessibility of eating disorder treatment, the lack of parameters for what constitutes “high quality care”, and the prevalence of trauma experienced in treatment settings for those who do access treatment. Second, the characteristics proposed for “terminal” anorexia nervosa are constructed largely based on subjective and inconsistent valuations of suffering which build on and contribute to harmful and inaccurate eating disorder stereotypes. Overall, we believe these proposed characteristics in their current form stand to detract from, rather than assist, the ability of patients and providers to make informed, compassionate, and patient-centered decisions about safety and autonomy both for individuals with enduring eating disorders and for individuals with more recently diagnosed eating disorders.

Linear transformer drivers can be used as fast pulsed-power generators to produce and study matter under extreme conditions, with densities larger than 10 times that of solids. While its scientific investigations can start in a laboratory, it will eventually require a source of x rays that can be provided only by specialized light source facilities. When relocation becomes a necessity, a compact, modular design is clearly advantageous. This paper shows how nested transmission lines can reduce considerably the footprint of MA-class pulsed-power generators based on linear transformer driver technology.

In this paper we present a high-repetition-rate experimental platform for examining the spatial structure and evolution of Biermann generated magnetic fields in laser-produced plasmas. We have extended the work of prior experiments, which spanned over millimeter scales, by spatially measuring magnetic fields in multiple planes on centimeter scales over thousands of laser shots. Measurements with magnetic flux probes show azimuthally symmetric magnetic fields that range from 60 G at 0.7 cm from the target to 7 G at 4.2 cm from the target. The expansion rate of the magnetic fields and evolution of current density structures are also mapped and examined. Electron temperature and density of the laser-produced plasma are measured with optical Thomson scattering and used to directly calculate a magnetic Reynolds number of 1.4 × 10 4 , confirming that magnetic advection is dominant ≥ 1.5 cm from the target surface. The results are compared to FLASH simulations, which show qualitative agreement with the data.