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This article explores the struggles over the development of new national tests for the Danish public school system before, during, and after the lockdown of society due to the COVID-19 pandemic. The article throws light on the stakeholder positions, arguments, and discourses involved in assessment policy formation with particular attention on the national tests as the key component of the new assessment system. Drawing on policy documents, media news stories, and interviews with teachers, school leaders, politicians, and civil servants at the municipal and national levels, the article adds to our understanding of how assessment policies come into existence and offers reflections on the implications and conditions for how assessment systems may evolve.

BACKGROUND: COVID-19-related ARDS is characterized by severe hypoxemia with initially preserved lung compliance and impaired ventilation/perfusion (V̇/Q̇) matching. PEEP can increase end-expiratory lung volume, but its effect on V̇/Q̇ mismatch in COVID-19-related ARDS is not clear.METHODS: We enrolled intubated and mechanically ventilated subjects with COVID-19 ARDS and used the automatic lung parameter estimator (ALPE) to measure V̇/Q̇. Respiratory mechanics measurements, shunt, and V̇/Q̇ mismatch (low V̇/Q̇ and high V̇/Q̇) were collected at 3 PEEP levels (clinical PEEP = intermediate PEEP, low PEEP [clinical - 50%], and high PEEP [clinical + 50%]). A mixed-effect model was used to evaluate the impact of PEEP on V̇/Q̇. We also investigated if PEEP might have a different effect on V̇/Q̇ mismatch in 2 different respiratory mechanics phenotypes, that is, high elastance/low compliance (phenotype H) and low elastance/high compliance (phenotype L).RESULTS: Seventeen subjects with COVID-related ARDS age 66 [60-71] y with a PaO2 /FIO2 of 141 ± 74 mm Hg were studied at low PEEP = 5.6 ± 2.2 cm H2O, intermediate PEEP = 10.6 ± 3.8 cm H2O, and high PEEP = 15 ± 5 cm H2O. Shunt, low V̇/Q̇, high V̇/Q̇, and alveolar dead space were not significantly influenced, on average, by PEEP. Respiratory system compliance decreased significantly when increasing PEEP without significant variation of PaO2 /FIO2 (P = .26). In the 2 phenotypes, PEEP had opposite effects on shunt, with a decrease in the phenotype L and an increase in phenotype H (P = .048).CONCLUSIONS: In subjects with COVID-related ARDS placed on invasive mechanical ventilation for > 48 h, PEEP had a heterogeneous effect on V̇/Q̇ mismatch and, on average, higher levels were not able to reduce shunt. The subject's compliance could influence the effect of PEEP on V̇/Q̇ mismatch since an increased shunt was observed in subjects with lower compliance, whereas the opposite occurred in those with higher compliance.

The approach of this chapter is polemical in nature, reflecting the very fluid situation that lies ahead for orchestras post COVID-19. The chapter has three main academic research objectives. First, to put the current debate in context, it looks at the key challenges that orchestras have faced since the turn of the last century and in what way COVID-19 posed new problems that impacted orchestral music. The second objective is to outline some special short-term measures introduced to mitigate the impact of COVID-19, namely: (i) the income-support measures needed to sustain orchestras; and (ii) the extent to which orchestras could come together and practice, and in fact perform, even if only in front of no or very limited live audiences. The third objective is to discuss what possibly lies ahead for live orchestral music, post-COVID-19, and in a rapidly changing world regarding technological advances in the production and consumption of orchestral music. To inform this discussion, some broad trends in the ‘consumption’ of orchestral music over time, particularly in terms of numbers attending live concerts and revenues from streamed concerts, are examined.

The COVID-19 pandemic has caused over 6 million deaths since 2020. To contain the spread of the virus, social distancing is one of the most simple yet effective approaches. Motivated by this, in this paper we study the problem of continuous social distance monitoring (SDM) in indoor space, in which we can monitor and predict the pairwise distances between moving objects (people) in a building in real time. SDM can also serve as the fundamental service for downstream applications, e.g., a mobile alert application that prevents its users from potential close contact with others. To facilitate the monitoring process, we propose a framework that takes the current and future uncertain locations of the objects into account, and finds the object pairs that are close to each other in a near future. We develop efficient algorithms to update the result when object locations update. We carry out experiments on both real and synthetic datasets. The results verify the efficiency and effectiveness of our proposed framework and algorithms.