This article presents an overview of the recent literature on gendered patterns of academic choice in mathematics, science, and technology. It distinguishes in this literature microlevel, macro-level, and institutional explanations. Micro-level explanations focus primarily on psychological constructs, that is, variables at the level of the individual students. Macro-level explanations focus primarily on socioeconomic conditions and cultural understandings of gender roles. Institutional explanations focus on design characteristics of (national) education systems. After a presentation of these perspectives and of recent research progress that has been made, the authors critically discuss the lacunae that still exist in explaining cross-national variety, and provide suggestions for designing future research in this field.Keywords: gender; education; academic choice; mathematics; science and technology Introduction Female participation in higher tertiary education has increased rapidly over the past decades.1 Currently, about 56% of all students in the European Union are women, and this figure is still rising (Eurostat, 2010). Yet, this increase in female student participation does not apply to all academic fields. In mathematics, science, and technology (MST), where women have always been underrepresented, their participation rate has actually decreased over the last years, from 41% at the end of the 1990s, to 38% in 2010 (Eurostat, 2010). The relative decline of women in MST is generally regarded as undesirable as it contrasts with European ambitions of achieving gender equality and a highly skilled, innovative society (European
The COVID-19 pandemic has demonstrated the need for massively-parallel, cost-effective tests monitoring viral spread. Here we present SARSeq, saliva analysis by RNA sequencing, a method to detect SARS-CoV-2 and other respiratory viruses on tens of thousands of samples in parallel. SARSeq relies on next generation sequencing of multiple amplicons generated in a multiplexed RT-PCR reaction. Two-dimensional, unique dual indexing, using four indices per sample, enables unambiguous and scalable assignment of reads to individual samples. We calibrate SARSeq on SARS-CoV-2 synthetic RNA, virions, and hundreds of human samples of various types. Robustness and sensitivity were virtually identical to quantitative RT-PCR. Double-blinded benchmarking to gold standard quantitative-RT-PCR performed by human diagnostics laboratories confirms this high sensitivity. SARSeq can be used to detect Influenza A and B viruses and human rhinovirus in parallel, and can be expanded for detection of other pathogens. Thus, SARSeq is ideally suited for differential diagnostic of infections during a pandemic.
Abstract-slides. At optical thickness = 6:0 the loss of light through the glass slides is ranging from 13% 6 0:5% (at albedo = 0:80) to 15% 6 0:5% (at albedo = 0:98) of the incident power. The loss of light at the exit port in the transmittance sphere is increasing upto 50% of the incident power at highly forward scattering. These losses result in a dependency on optical thickness of the optical properties estimation by the IAD algorithm. Furthermore, because of these losses, the DIS setup measurement is found to be fundamentally nonunique, when simultaneously measuring the diffuse reflectance, diffuse transmittance and collimated transmittance.
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