A key objective for upcoming surveys, and when re-analysing archival data, is the identification of variable stellar sources. However, the selection of these sources is often complicated by the unavailability of light curve data. Utilising a self-organising map (SOM), we demonstrate the selection of diverse variable source types from a catalogue of variable and non-variable SDSS Stripe 82 sources whilst employing only the median $u-g$, $g-r$, $r-i$, and $i-z$ photometric colours for each source as input, without using source magnitudes. This includes the separation of main sequence variable stars that are otherwise degenerate with non-variable sources ($u-g$,$g-r$) and ($r-i$,$i-z$) colour-spaces. We separate variable sources on the main sequence from all other variable and non-variable sources with a purity of $80.0\%$ and completeness of $25.1\%$, figures which can be modified depending on the application. We also explore the varying ability of the same method to simultaneously select other types of variable sources from the heterogeneous sample, including variable quasars and RR-Lyrae stars. The demonstrated ability of this method to select variable main sequence stars in colour-space holds promise for application in future survey reduction pipelines and for the analysis of archival data, where light curves may not be available or may be prohibitively expensive to obtain.

Caregivers can play an important role in supporting and caring for people with progressive, life-threatening, or debilitating conditions. However, this supportive role can expose caregivers to various detrimental financial, physical, and psychosocial issues. When evaluating medical technologies for reimbursement decisions, health technology assessment (HTA) agencies typically focus on the treatment’s impact on patients and ignore or downplay the impact on caregivers. Including caregiver impacts within a wider societal perspective may better enable health systems to maximize health benefits from available resources. However, the lack of clear guidance or methodological recommendations from decision makers on the inclusion of caregiver impacts limits the number of HTA submissions that consider these effects. We outline a conceptual framework based on intensity and duration of caregiving to guide researchers, industry, and decision makers when developing policies for the inclusion of caregiver outcomes and justify their inclusion based on expected caregiver burden in identified circumstances.

Infrared (Visible-Near Infrared-Shortwave Infrared (VNIR-SWIR)) spectroscopy is a cost-effective technique for mineral identification in the field. Modern hand-held spectrometers are equipped with on-board spectral libraries that enable rapid, qualitative analysis of most minerals and facilitate recognition of key alteration minerals for exploration. Spectral libraries can be general or customized for specific mineral deposit environments. To this end, careful collection of spectra in a controlled environment on pure specimens of key minerals was completed using the National Mineral Reference Collection (NMC) of the Geological Survey of Canada. The spectra collected from specimens in the ‘Kodama Clay Collection’ were processed using spectral plotting software and each new example was validated before being added to a group of spectra considered for incorporation into the on-board library of the handheld ASD-TerraSpec Halo near-infrared (NIR) mineral identification instrument. Spectra from an additional suite of mineral samples of the NMC containing REE, U, Th, and/or Nb are being prepared for a new, publicly available spectral library. These minerals commonly occur in carbonatite or alkali intrusive deposits, and as such will assist in the exploration for critical metals.

The race to develop and implement autonomous systems and artificial intelligence has challenged the responsiveness of governments in many areas and none more so than in the domain of labour market policy. This article draws upon a large survey of Singaporean employees and managers (N = 332) conducted in 2019 to examine the extent and ways in which artificial intelligence and autonomous technologies have begun impacting workplaces in Singapore. Our conclusions reiterate the need for government intervention to facilitate broad-based participation in the productivity benefits of fourth industrial revolution technologies while also offering re-designed social safety nets and employment protections.

This discussion paper by a group of scholars across the fields of health, economics and labour relations argues that COVID-19 is an unprecedented humanitarian crisis from which there can be no return to the ‘old normal’. The pandemic’s disastrous worldwide health impacts have been exacerbated by, and have compounded, the unsustainability of economic globalisation based on the neoliberal dismantling of state capabilities in favour of markets. Flow-on economic impacts have simultaneously created major supply and demand disruptions, and highlighted the growing within-country inequalities and precarity generated by neoliberal regimes of labour market regulation. Taking an Australian and international perspective, we examine these economic and labour market impacts, paying particular attention to differential impacts on First Nations people, developing countries, women, immigrants and young people. Evaluating policy responses in a political climate of national and international leadership very different from those in which major twentieth century crises were addressed, we argue the need for a national and international conversation to develop a new pathway out of crisis.