Disney during COVID-19: The tourist and the actor’s nightmare

In this essay, we argue that the experience of being at Disney theme parks in COVID times was a waking version of what is sometimes called “The Actor’s Nightmare.” Due to safety regulations, theme parks either dropped live entertainment that structures the day as a show with a clear beginning and end (e.g. park-opening rope drop performances, and the fireworks), attempted to include references to COVID in live entertainment (like in the Frozen Ever After singalong, which added some COVID jokes), or to ignore it (like the Festival of the Lion King). In any case, due to these measures the narrative story of a theme park visit crumbles and the often-cited difference between a “theme park” and an “amusement park” disintegrates: the dissolution of structure provokes anxiety and unease in guests, especially those with previous park experience; the silencing of audiences that had previously been scripted to participate similarly creates a form of narrative anxiety, as both park and tourist no longer knew what story they were telling, or how best to tell it. Disney’s dramaturgical choices in COVID times reveal the extent to which the narrative structure of a theme park visit, the participation of the theme park visitors, and the distinction between “theme park” and “amusement park” rely on live entertainment

A detailed comparison of measured and simulated optical properties of a short-period GaAs/AlxGa1-xAs distributed Bragg reflector

A 6-period GaAs/Al$_{0.9}$Ga$_{0.1}$As distributed Bragg reflector (DBR) has been grown and its optical properties have been both measured and simulated. Incremental improvements were made to the simulation, allowing it to account for internal consistency error, incorrect layer thicknesses, and absorption due to substrate doping to improve simulation accuracy. A compositional depth profile using secondary-ion mass spectrometry (SIMS) has been taken and shows that the Al fraction averages 88.0$\pm0.3\%$. It is found that the amplitude of the transmission is significantly affected by absorption in the n-doped GaAs substrate, even though the energy of the transmitted light is well below the GaAs band gap. The wavelength of the features on the transmission spectrum are mostly affected by DBR layer thicknesses. On the other hand, the transmission spectrum is found to be relatively tolerant to changes to Al fraction

Understorey light quality affects leaf pigments and leaf phenology in different plant functional types

Forest understorey plants receive most sunlight in springtime before canopy closure, and in autumn following leaf-fall. We hypothesized that plant species must adjust their phenological and photoprotective strategies in response to large changes in the spectral composition of the sunlight they receive. Here, we identified how plant species growing in northern deciduous and evergreen forest understoreys differ in their response to blue light and ultraviolet (UV) radiation according to their functional strategy. We installed filters in a forest understorey in southern Finland, to create the following treatments attenuating: UV radiation < 350 nm, all UV radiation (< 400 nm), all blue light and UV radiation (< 500 nm), and a transparent control. In eight species, representing different functional strategies, we assessed leaf optical properties, phenology, and epidermal flavonoid contents over two years. Blue light accelerated leaf senescence in all species measured in the understorey, apart from Quercus robur seedlings, whereas UV radiation only accelerated leaf senescence in Acer platanoides seedlings. More light-demanding species accumulated flavonols in response to seasonal changes in light quality compared to shade-tolerant and wintergreen species and were particularly responsive to blue light. Reduction of blue and UV radiation under shade reveals an important role for microclimatic effects on autumn phenology and leaf photoprotection. An extension of canopy cover under climate change, and its associated suppression of understorey blue light and UV radiation, may delay leaf senescence for understorey species with an autumn niche.Peer reviewe

“True fan = watch match”? In Search of the ‘Authentic’ Soccer Fan.

Academics have created typologies to divide association football (soccer) fans into categories based upon the assumed ‘authenticity’ of their fandom practices. One of the main requirements of ‘authentic’ fandom has been assumed to be match attendance. The goal of this paper was to critically assess this assumption through considering how fans themselves talk about the significance of match attendance as evidence of ‘authentic’ fandom. In light of the fact that the voices of English non-league fans on the ‘authenticity’ debate have so far been overshadowed by the overbearing focus of much previous research on the upper echelons of English soccer, an e-survey was conducted with 151 members of an online community of fans of English Northern League (NL) clubs (a semi-professional / amateur league based in North East England). Findings revealed that opinion was divided on the constituents of ‘authentic’ fandom and match attendance was not deemed to be the core evidence of support for a club by 42% of the sample. Elias (1978) suggested that dichotomous thinking hinders sociological understanding and it is concluded that fan typologies are not sufficient for assessing the ‘authenticity’ of fan activities

Modelling of a low temperature differential Stirling Engine.

Abstract: A full theoretical model of a low temperature difference Stirling engine is developed in this paper.The model, which starts from the first principles, gives a full differential description of the major componentsof the engine: the behaviour of the gas in the expansion and the compression spaces; the behaviour of thegas in the regenerator; the dynamic behaviour of the displacer and the power piston/flywheel assembly. Asmall fully instrumented the engine is used to validate the model. The theoretical model is in goodagreement with the experimental data and describes well all features exhibited by the engine

Citizen meets social science : Predicting volunteer involvement in a global freshwater monitoring experiment

FreshWater Watch is a global citizen science project that seeks to advance the understanding and stewardship of freshwater ecosystems across the globe through analysis of their physical and chemical properties by volunteers. To date, literature concerning citizen science has mainly focused on its potential to generate unprecedented volumes of data. In this paper, we focus instead on the data relating to the volunteer experience and ask key questions about volunteer engagement with the project. For example, we ask what factors influence: a) volunteer data submission following a training event and b) the number of water quality samples volunteers subsequently submit. We used a binomial model to identify the factors that influence the retention of volunteers after training. In addition, we used a generalized linear model (GLM) to examine the factors that affected the number of samples each citizen scientist submitted. In line with other citizen science projects, most people trained did not submit any data, and 1% of participants contributed 47% of the data. We found that the statistically significant factors associated with submission of data after training were: whether training was given on how to upload data, the number of volunteers that attended the training, whether the volunteer was assigned to a research team, the outside temperature, and the average engagement of others in the training group. The statistically significant factors associated with the quantity of data submitted were: the length of time volunteers were active in the project, whether training took place as part of a paid work day, the difficulty of the sampling procedure, how socially involved volunteers were in the project, average sampling group size, and engagement with online learning modules. Based on our results, we suggest that intrinsic motivation may be important for predicting volunteer retention after training and the number of samples collected subsequently. We suggest that, to maximize the contribution of citizen science to our understanding of the world around us, there is an urgent need to better understand the factors that drive volunteer retention and engagement