COVID-19 triggers urgent questions about the social, political and ethical implications of care markets, practices and relations. This article presents analysis of the Houses of the Oireachtas Special Committee on Covid-19 Response exposing current discourses about care in Ireland. Utilising the Trace analysis method (Sevenhuijsen, 2004), grounded in feminist care ethics, reveals a state accountability exercise grappling with the failures of the care market and the inhumanity of congregated settings. Care discourses were constrained by a focus on the formal health system, normalisation of binary care giver and care receiver categorisations and a lack of recognition of gendered inequalities of care in homes and workplaces. Public discourse and feminist analysis revealed unreasonable labour conditions for women working in health and social care and a silencing of the voices of those with care needs. The article contributes to a reconceptualisation of care in post-pandemic futures and urges societal co-responsibility for ‘universal care’.

This article analyses local care policies through the lens of the feminist ethics of care. The focus is on the normative understandings regarding care that emerge in local care strategy documents and how these understandings relate with the concept of ‘responsibility’. In this article, strategies published by the municipality of Jyväskylä, Finland, between the years 2008 and 2016, are analysed using Trace analysis. The research questions are: How is the division of responsibility regarding care among different actors constructed in the strategies? How do the roles assigned to these different actors accord with the principles of ethics of care? The findings show that the documents emphasise individual responsibility in managing risks related to old age, as the norms of local societal institutions are largely detached from the principles of ethics of care. The analysis also reveals the absence of gender and human frailty from the care strategy documents. Rethinking the strategies through the lens of the ethic of care would mean reconceptualising responsibility as relational.

Electron-excited X-ray microanalysis performed with scanning electron microscopy and energy-dispersive spectrometry (EDS) has been used to measure trace elemental constituents of complex multielement materials, where “trace” refers to constituents present at concentrations below 0.01 (mass fraction). High count spectra measured with silicon drift detector EDS were quantified using the standards/matrix correction protocol embedded in the NIST DTSA-II software engine. Robust quantitative analytical results for trace constituents were obtained from concentrations as low as 0.000500 (mass fraction), even in the presence of significant peak interferences from minor (concentration 0.01≤C≤0.1) and major (C>0.1) constituents. Limits of detection as low as 0.000200 were achieved in the absence of peak interference.

Program execution monitoring consists of checking whole executions for given properties, and collecting global run-time information. Monitoring gives valuable insights and helps programmers maintain their programs. However, application developers face the following dilemma: either they use existing monitoring tools which never exactly fit their needs, or they invest a lot of effort to implement relevant monitoring code. In this paper, we argue that when an event-oriented tracer exists, the compiler developers can enable the application developers to easily code their own monitors. We propose a high-level primitive called foldt which operates on execution traces. One of the key advantages of our approach is that it allows a clean separation of concerns; the definition of monitors is totally distinct from both the user source code and the language compiler. We give a number of applications of the use of foldt to define monitors for Mercury program executions: execution profiles, graphical abstract views, and two test coverage measurements. Each example is implemented by a few simple lines of Mercury.

X-ray counting statistics plays a key role in establishing confidence limits in composition determination by X-ray microanalysis. The process starts with measurements of intensity on one or more samples and standards as well as related background determinations. Since each individual measurement is subject to variability associated with counting statistics, it is necessary to combine all of the counting variability according to established mathematical procedures. The next step is to apply propagation of error calculations to equations for quantitative analysis and determine confidence limits in reported composition. Similar concepts can also be applied to trace element determination. This approach can then be combined with spectral simulation modeling, making it possible to predict detectability limits without additional measurements.