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There is an increasing recognition of the benefits of sustained community engagement (CE) that accrue to academic health centers and the communities they serve. However, the success and sustainability of CE projects rely on the efforts of individual faculty, learners, and community members, for whom CE efforts are typically added to their professional and personal priorities and responsibilities. This competition for time and resources between priorities and CE can discourage academic medical faculty from participating in CE activities. The Stacked Community Engagement model is proposed to synergize or “stack” responsibilities and goals onto the scaffolding of CE projects.
Methods:
We examined the literature and expert CE practitioner opinion to identify the challenges faced by community-engaged academic faculty and the key characteristics of CE projects that successfully align and integrate with the priorities of faculty, learners, and community members. We synthesized this information to develop the conceptual Stacked CE model for developing CE academic medical faculty, then illustrated the model in heterogeneous CE programs to explore its generalizability, validity, and robustness.
Results:
The Stacked CE model, when applied to a specific nutrition education program (The Food Doctors) and outreach program (StreetLife Communities), provided a practical framework for examining the sustained success of a partnership between Medical College of Wisconsin faculty and medical students and the community.
Conclusions:
The Stacked CE model is a meaningful framework for developing community-engaged academic medical faculty. By identifying overlap and integrating CE into professional activities with intention, CE practitioners can benefit from the deeper connections and sustainability.
Next-generation spectro-polarimetric broadband surveys will probe cosmic magnetic fields in unprecedented detail, using the magneto-optical effect known as Faraday rotation. However, non-parametric methods such as RMCLEAN can introduce non-observable linearly polarised flux into a fitted model at negative wavelengths squared. This leads to Faraday rotation structures that are consistent with the observed data, but would be impossible or difficult to measure. We construct a convex non-parametric QU-fitting algorithm to constrain the flux at negative wavelengths squared to be zero. This allows the algorithm to recover structures that are limited in complexity to the observable region in wavelength squared. We verify this approach on simulated broadband data sets where we show that it has a lower root mean square error and that it can change the scientific conclusions for real observations. We advise using this prior in next-generation broadband surveys that aim to uncover complex Faraday depth structures. We provide a public Python implementation of the algorithm at https://github.com/Luke-Pratley/Faraday-Dreams.
The remnant phase of a radio galaxy begins when the jets launched from an active galactic nucleus are switched off. To study the fraction of radio galaxies in a remnant phase, we take advantage of a $8.31$ deg$^2$ subregion of the GAMA 23 field which comprises of surveys covering the frequency range 0.1–9 GHz. We present a sample of 104 radio galaxies compiled from observations conducted by the Murchison Widefield Array (216 MHz), the Australia Square Kilometer Array Pathfinder (887 MHz), and the Australia Telescope Compact Array (5.5 GHz). We adopt an ‘absent radio core’ criterion to identify 10 radio galaxies showing no evidence for an active nucleus. We classify these as new candidate remnant radio galaxies. Seven of these objects still display compact emitting regions within the lobes at 5.5 GHz; at this frequency the emission is short-lived, implying a recent jet switch off. On the other hand, only three show evidence of aged lobe plasma by the presence of an ultra-steep-spectrum ($\alpha<-1.2$) and a diffuse, low surface brightness radio morphology. The predominant fraction of young remnants is consistent with a rapid fading during the remnant phase. Within our sample of radio galaxies, our observations constrain the remnant fraction to $4\%\lesssim f_{\mathrm{rem}} \lesssim 10\%$; the lower limit comes from the limiting case in which all remnant candidates with hotspots are simply active radio galaxies with faint, undetected radio cores. Finally, we model the synchrotron spectrum arising from a hotspot to show they can persist for 5–10 Myr at 5.5 GHz after the jets switch of—radio emission arising from such hotspots can therefore be expected in an appreciable fraction of genuine remnants.