Measuring affective, physiological and behavioural differences in solo, competitive and collaborative games

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2017. In this paper, we aim to measure affect and behaviour indicators of players to understand how they feel in different play modes and how games could be improved to enhance user experience, immersion and engagement. We analyse the affective states in sets of two users playing a Wii video game in three play modes: solo, competitive and collaborative. We measured their physiological signals and observed the nonverbal behaviours to infer their affective states. Although other studies have looked at these signals in gaming, this work focuses on the differences between the three play modes aforementioned. Our results show that: (1) Players experience similar levels of arousal during both solo and collaborative play modes; (2) players’ heart rates are significantly correlated during the competitive mode but not during the collaborative one; and (3) heart rate variability is a good indicator of engagement when playing video games

The Yeast Spore Wall Enables Spores to Survive Passage through the Digestive Tract of Drosophila

In nature, yeasts are subject to predation by flies of the genus Drosophila. In response to nutritional starvation Saccharomyces cerevisiae differentiates into a dormant cell type, termed a spore, which is resistant to many types of environmental stress. The stress resistance of the spore is due primarily to a spore wall that is more elaborate than the vegetative cell wall. We report here that S. cerevisiae spores survive passage through the gut of Drosophila melanogaster. Constituents of the spore wall that distinguish it from the vegetative cell wall are necessary for this resistance. Ascospores of the distantly related yeast Schizosaccharomyces pombe also display resistance to digestion by D. melanogaster. These results suggest that the primary function of the yeast ascospore is as a cell type specialized for dispersion by insect vectors

Search for gravitational waves associated with gamma-ray bursts detected by Fermi and Swift during the LIGO–Virgo run O3b

We search for gravitational-wave signals associated with gamma-ray bursts (GRBs) detected by the Fermi and Swift satellites during the second half of the third observing run of Advanced LIGO and Advanced Virgo (2019 November 1 15:00 UTC–2020 March 27 17:00 UTC). We conduct two independent searches: a generic gravitational-wave transients search to analyze 86 GRBs and an analysis to target binary mergers with at least one neutron star as short GRB progenitors for 17 events. We find no significant evidence for gravitational-wave signals associated with any of these GRBs. A weighted binomial test of the combined results finds no evidence for subthreshold gravitational-wave signals associated with this GRB ensemble either. We use several source types and signal morphologies during the searches, resulting in lower bounds on the estimated distance to each GRB. Finally, we constrain the population of low-luminosity short GRBs using results from the first to the third observing runs of Advanced LIGO and Advanced Virgo. The resulting population is in accordance with the local binary neutron star merger rate

MAGNETOELASTIC INTERACTIONS IN HOLMIUM

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Biliary Infections: Spectrum of Imaging Findings and Management

Infectious cholangitides encompass a wide spectrum of infectious processes affecting the biliary tree. They can have protean clinical and imaging appearances. Some manifest as an acute medical emergency with high mortality if not properly and emergently managed. Others are chronic processes that may predispose a patient to liver failure or cholangiocarcinoma. The clinical and imaging features and the subsequent therapy are dictated by the pathogens involved, the immune status of the host, and the degree and distribution of biliary obstruction. Bacteria cause most cases of infectious cholangitis in Western countries. In other parts of the world, parasites play an important role, either as causative agents or in predisposing the host to bacterial superinfection. Viral cholangitides primarily affect immunocompromised patients. The clinical and imaging features of cholangitis differ between immunocompetent and immunocompromised patients. Imaging plays a pivotal role in diagnosis of infectious cholangitis, helps identify predisposing causes, and demonstrates complications. Moreover, interventional radiology provides tools to treat acute life-threatening biliary infections, chronic entities, and complications. (C) RSNA, 2009.radiographics.rsna.or

Mega-heatwave temperatures due to combined soil desiccation and atmospheric heat accumulation

The recent European mega-heatwaves of 2003 and 2010 broke temperature records across Europe(1-5). Although events of this magnitude were unprecedented from a historical perspective, they are expected to become common by the end of the century(6,7). However, our understanding of extreme heatwave events is limited and their representation in climate models remains imperfect(8). Here we investigate the physical processes underlying recent mega-heatwaves using satellite and balloon measurements of land and atmospheric conditions from the summers of 2003 in France and 2010 in Russia, in combination with a soil-water-atmosphere model. We find that, in both events, persistent atmospheric pressure patterns induced land-atmosphere feedbacks that led to extreme temperatures. During daytime, heat was supplied by large-scale horizontal advection, warming of an increasingly desiccated land surface and enhanced entrainment of warm air into the atmospheric boundary layer. Overnight, the heat generated during the day was preserved in an anomalous kilometres-deep atmospheric layer located several hundred metres above the surface, available to re-enter the atmospheric boundary layer during the next diurnal cycle. This resulted in a progressive accumulation of heat over several days, which enhanced soil desiccation and led to further escalation in air temperatures. Our findings suggest that the extreme temperatures in mega-heatwaves can be explained by the combined multi-day memory of the land surface and the atmospheric boundary layer

Inference for a skew extension of the Grubbs model

Skew-normal distribution, EM-algorithm, Skewness Grubbs model, Profile likelihood,