Many traditional regions are being transformed as industries restructure. Paradoxically, the global economic downturn offers opportunities to innovate on policies to regenerate areas experiencing deindustrialisation, with one emerging focus being the development of ‘green skills’ to facilitate the transition of these places to ‘green economies’. In this article, we explore similar policy objectives (i.e. regeneration activity based (in part) on green economy transitions) across three deindustrialising/deindustrialised regions – Appalachia (United States), Ruhr (Germany) and the Valleys (South Wales) – to provide an account of the ways in which different regions with similar industrial pasts diverge in their approach to moving towards greener futures. Our argument is that the emphasis in such transitions should be the creation of ‘decent’ jobs, with new economic activity and employment initiatives embracing a ‘high road’ (i.e. high skill/high pay/high quality) trajectory. Utilising a ‘varieties of capitalism’ analysis, we contend that an effective, socially inclusive and ‘high road’ transition is more likely to emerge within co-ordinated market economy contexts, for example, Germany, than within the liberal market economy contexts of, for example, the United States and United Kingdom. In identifying the critical success factors leading to ‘high road’ green economy, the implications for any such transition within the liberal market economy context of Australia are highlighted.

Brazil and Mexico occupy distinctive positions in the structure of the capitalist world economy. They bear little resemblance to the classic model of a “peripheral” country: they are too industrialized, having many of the modern industries typically found only at the center of the world economy; they supply themselves with too large a share of the finished goods consumed domestically; their exports are too diversified and include too many manufactured items; and they have developed unusually strong states with sophisticated administrative apparatuses capable of promoting and protecting local interests. But neither do Brazil and Mexico possess the characteristics commonly associated with “developed” or “core” nations. Their gross domestic product per capita is far below that of the United States, Japan, or almost any of the countries of Western Europe; their distributions of income are highly skewed compared to those of the developed countries; they are recipient rather than source countries of foreign investment; they are debtor rather than creditor nations; and they are on the receiving rather than the originating end of product innovation and new production techniques.

This combined numerical/laboratory study investigates the effect of stratification form on the shoaling characteristics of internal solitary waves propagating over a smooth, linear topographic slope. Three stratification types are investigated, namely (i) thin tanh (homogeneous upper and lower layers separated by a thin pycnocline), (ii) surface stratification (linearly stratified layer overlaying a homogeneous lower layer) and (iii) broad tanh (continuous density gradient throughout the water column). It is found that the form of stratification affects the breaking type associated with the shoaling wave. In the thin tanh stratification, good agreement is seen with past studies. Waves over the shallowest slopes undergo fission. Over steeper slopes, the breaking type changes from surging, through collapsing to plunging with increasing wave steepness $A_w/L_w$ for a given topographic slope, where $A_w$ and $L_w$ are incident wave amplitude and wavelength, respectively. In the surface stratification regime, the breaking classification differs from the thin tanh stratification. Plunging dynamics is inhibited by the density gradient throughout the upper layer, instead collapsing-type breakers form for the equivalent location in parameter space in the thin tanh stratification. In the broad tanh profile regime, plunging dynamics is likewise inhibited and the near-bottom density gradient prevents the collapsing dynamics. Instead, all waves either fission or form surging breakers. As wave steepness in the broad tanh stratification increases, the bolus formed by surging exhibits evidence of Kelvin–Helmholtz instabilities on its upper boundary. In both two- and three-dimensional simulations, billow size grows with increasing wave steepness, dynamics not previously observed in the literature.

We present the data and initial results from the first pilot survey of the Evolutionary Map of the Universe (EMU), observed at 944 MHz with the Australian Square Kilometre Array Pathfinder (ASKAP) telescope. The survey covers $270 \,\mathrm{deg}^2$ of an area covered by the Dark Energy Survey, reaching a depth of 25–30 $\mu\mathrm{Jy\ beam}^{-1}$ rms at a spatial resolution of $\sim$ 11–18 arcsec, resulting in a catalogue of $\sim$ 220 000 sources, of which $\sim$ 180 000 are single-component sources. Here we present the catalogue of single-component sources, together with (where available) optical and infrared cross-identifications, classifications, and redshifts. This survey explores a new region of parameter space compared to previous surveys. Specifically, the EMU Pilot Survey has a high density of sources, and also a high sensitivity to low surface brightness emission. These properties result in the detection of types of sources that were rarely seen in or absent from previous surveys. We present some of these new results here.

Vulture populations are in severe decline across Africa and prioritization of geographic areas for their conservation is urgently needed. To do so, we compiled three independent datasets on vulture occurrence from road-surveys, GPS-tracking, and citizen science (eBird), and used maximum entropy to build ensemble species distribution models (SDMs). We then identified spatial vulture conservation priorities in Ethiopia, a stronghold for vultures in Africa, while accounting for uncertainty in our predictions. We were able to build robust distribution models for five vulture species across the entirety of Ethiopia, including three Critically Endangered, one Endangered, and one Near Threatened species. We show that priorities occur in the highlands of Ethiopia, which provide particularly important habitat for Bearded Gypaetus barbatus, Hooded Necrosyrtes monachus, Rüppell’s Gyps rüppelli and White-backed Gyps africanus Vultures, as well as the lowlands of north-eastern Ethiopia, which are particularly valuable for the Egyptian Vulture Neophron percnopterus. One-third of the core distribution of the Egyptian Vulture was protected, followed by the White-backed Vulture at one-sixth, and all other species at one-tenth. Overall, only about one-fifth of vulture priority areas were protected. Given that there is limited protection of priority areas and that vultures range widely, we argue that measures of broad spatial and legislative scope will be necessary to address drivers of vulture declines, including poisoning, energy infrastructure, and climate change, while considering the local social context and aiding sustainable development.

Past findings on the connection between class position and political preferences are overwhelmingly derived from cross-sectional studies, which provided a limited basis for inferring causality. This study uses long-term panel data on thousands of British respondents to measure the impact of intra-generational class mobility across a range of political identities and preferences. Upward class mobility leads to small increases in economic conservatism, but party choice, class identity and attitudes to non-economic issues do not change. This updating of economic values is much smaller than cross-sectional differences between classes. These results are consistent with the short-run effects of class mobility operating primarily through a limited economic self-interest mechanism. Beliefs that are plausibly unconnected to economics are unaffected. The overall association between class and a range of identities, opinions and preferences is therefore more likely to be caused by early life experiences and longer-term socialization than by the immediate material interests associated with jobs.

While application of clustering algorithms to atom probe tomography data have enabled quantification of solute clusters in terms of number density, size, and subcomposition there exist other properties (e.g., volume, surface area, and composition) that are better determined by defining an interface between the cluster and the surrounding matrix. The limitation in composition results from an ion selection step where the expected matrix ion types are omitted from the cluster search algorithm to enhance the contrast between the matrix and cluster and to reduce the complexity of the search. Previously, composition determination within solute clusters has utilized a secondary envelopment and erosion step on top of conventional methods such as maximum separation. In this work, we present a novel stochastic method that combines the particle identification fidelity of a conventional clustering algorithm with the analytical flexibility of mesh-based approaches through the generation of alpha shapes for each identified cluster. The corresponding mesh accounts for concave components of the clusters and determines the volume and surface area of the clusters; additionally, the mesh boundary is utilized to update the total composition according to the internal ions.

Although the research base on mental health in intellectual disabilities is advancing, there are long-standing barriers that hinder successful completion of funded studies. A variety of stakeholders hold the key to mitigating the challenges and arriving at sustainable solutions that involve researchers, experts by experience, clinicians and many others in the research pathway. Lessons learned during the COVID-19 pandemic can also contribute to improvements in the conduct of research in the medium to long term. People with an intellectual disability and mental health conditions deserve high standards of evidence-based care.

Hydrogen lithography has been used to template phosphine-based surface chemistry to fabricate atomic-scale devices, a process we abbreviate as atomic precision advanced manufacturing (APAM). Here, we use mid-infrared variable angle spectroscopic ellipsometry (IR-VASE) to characterize single-nanometer thickness phosphorus dopant layers (δ-layers) in silicon made using APAM compatible processes. A large Drude response is directly attributable to the δ-layer and can be used for nondestructive monitoring of the condition of the APAM layer when integrating additional processing steps. The carrier density and mobility extracted from our room temperature IR-VASE measurements are consistent with cryogenic magneto-transport measurements, showing that APAM δ-layers function at room temperature. Finally, the permittivity extracted from these measurements shows that the doping in the APAM δ-layers is so large that their low-frequency in-plane response is reminiscent of a silicide. However, there is no indication of a plasma resonance, likely due to reduced dimensionality and/or low scattering lifetime.

Over the last 25 years, the harbour porpoise (Phocoena phocoena) has made a significant return to the Southern Bight of the North Sea and the English Channel due to a shift in distribution from northerly regions. Although the ecological drivers of this return are unclear, this species faces multiple threats in the region, including by-catch and habitat degradation. Ferry-based surveys were conducted year-round between November 2011 and June 2014 to assess the influence of environmental parameters upon the spatiotemporal distribution and relative abundance of harbour porpoises in the Southern Bight of the North Sea. A total of 1450 sightings of harbour porpoises were recorded during the 100 round-trip surveys carried out between Dunkirk (France) and Dover (England). Inter-annual and monthly variations in group size were observed, with largest groups recorded in 2014 (mean = 2.02) and in January (mean = 2.32). The relative abundance showed significant seasonal variation, with peaks recorded during winter months. An inter-annual increasing relative abundance was recorded during the study period. There was a seasonally dependent association with environmental variables, particularly depth, seabed roughness and current speed. Finally, predictions suggest large increases of the relative abundance in offshore habitats during winter months and over the study period.