European Perceptions of Autonomous and Robotized Cars

This article explores users\u2019 attitudes, perceptions, views, and emotions toward car automation and robotization, two processes increasingly affecting society in different ways\u2013\u2013namely, the rise of autonomous and robotized cars (and vehicles in general) and the increasing level of robotization of current cars. To address these questions, we investigated the feeling of trust and comfort toward driverless cars among Europeans using two Eurobarometer surveys. Making use of two representative samples of the European population, we aimed to explore citizens\u2019 attitudes and opinions about automation and digitization. The two surveys involved, respectively, 27,801 and 27,901 participants from all EU-28 countries. Furthermore, we investigated, in Northern Italy, the perception of robotization of cars and other technologies of everyday use, as well as the attitudes and opinions of children and preteens (n = 740), and adolescents (n = 801)\u2014 relevant social groups not covered in the Eurobarometer surveys

European perceptions of autonomous and robotized cars

open3noThis article explores users’ attitudes, perceptions, views, and emotions toward car automation and robotization, two processes increasingly affecting society in different ways––namely, the rise of autonomous and robotized cars (and vehicles in general) and the increasing level of robotization of current cars. To address these questions, we investigated the feeling of trust and comfort toward driverless cars among Europeans using two Eurobarometer surveys. Making use of two representative samples of the European population, we aimed to explore citizens’ attitudes and opinions about automation and digitization. The two surveys involved, respectively, 27,801 and 27,901 participants from all EU-28 countries. Furthermore, we investigated, in Northern Italy, the perception of robotization of cars and other technologies of everyday use, as well as the attitudes and opinions of children and preteens (n = 740), and adolescents (n = 801)— relevant social groups not covered in the Eurobarometer surveys.openFortunati, L., Lugano, G., Manganelli, A.M.Fortunati, L.; Lugano, G.; Manganelli, A. M

Strategies for improving the sustainability of data centers via energy mix, energy conservation, and circular energy

Information and communication technologies (ICT) are increasingly permeating our daily life and we ever more commit our data to the cloud. Events like the COVID-19 pandemic put an exceptional burden upon ICT. This involves increasing implementation and use of data centers, which increased energy use and environmental impact. The scope of this work is to summarize the present situation on data centers as to environmental impact and opportunities for improvement. First, we introduce the topic, presenting estimated energy use and emissions. Then, we review proposed strategies for energy efficiency and conservation in data centers. Energy uses pertain to power distribution, ICT, and non-ICT equipment (e.g., cooling). Existing and prospected strategies and initiatives in these sectors are identified. Among key elements are innovative cooling techniques, natural resources, automation, low-power electronics, and equipment with extended thermal limits. Research perspectives are identified and estimates of improvement opportunities are mentioned. Finally, we present an overview on existing metrics, regulatory framework, and bodies concerned

Do People Perceive Alexa as Gendered? A Cross-Cultural Study of People’s Perceptions, Expectations, and Desires of Alexa

Mainly, the scholarly debate on Alexa has focused on sexist/anti-woman gender representations in the everyday life of many families, on a cluster of themes such as privacy, insecurity, and trust, and on the world of education and health. This paper takes another stance and explores via online survey methodology how university student respondents in two countries (the United States, n = 333; and Italy, n = 322) perceive Alexa's image and gender, what they expect from this voice-based assistant, and how they would like Alexa to be. Results of a free association exercise showed that Alexa's image was scarcely embodied or explicitly gendered. Rather, Alexa was associated with a distinct category of being-the VBA, virtual assistant, or digital helper-with which one talks, and which possesses praiseworthy technical and social traits. Expectations of Alexa and desires regarding Alexa's ideal performance are presented and compared across the two country samples

Co-occurrence of taste and odor compounds and cyanotoxins in cyanobacterial blooms:emerging risks to human health?

Cyanobacteria commonly form large blooms in waterbodies; they can produce cyanotoxins, with toxic effects on humans and animals, and volatile compounds, causing bad tastes and odors (T&amp;O) at naturally occurring low concentrations. Notwithstanding the large amount of literature on either cyanotoxins or T&amp;O, no review has focused on them at the same time. The present review critically evaluates the recent literature on cyanotoxins and T&amp;O compounds (geosmin, 2-methylisoborneol, β-ionone and β-cyclocitral) to identify research gaps on harmful exposure of humans and animals to both metabolite classes. T&amp;O and cyanotoxins production can be due to the same or common to different cyanobacterial species/strains, with the additional possibility of T&amp;O production by non-cyanobacterial species. The few environmental studies on the co-occurrence of these two groups of metabolites are not sufficient to understand if and how they can co-vary, or influence each other, perhaps stimulating cyanotoxin production. Therefore, T&amp;Os cannot reliably serve as early warning surrogates for cyanotoxins. The scarce data on T&amp;O toxicity seem to indicate a low health risk (but the inhalation of β-cyclocitral deserves more study). However, no data are available on the effects of combined exposure to mixtures of cyanotoxins and T&amp;O compounds and to combinations of T&amp;O compounds; therefore, whether the co-occurrence of cyanotoxins and T&amp;O compounds is a health issue remains an open question.</p

Realized extreme quantile: A joint model for conditional quantiles and measures of volatility with EVT refinements

We propose a new framework exploiting realized measures of volatility to estimate and forecast extreme quantiles. Our realized extreme quantile (REQ) combines quantile regression with extreme value theory and uses a measurement equation that relates the realized measure to the latent conditional quantile. Model estimation is performed by quasi maximum likelihood, and a simulation experiment validates this estimator in finite samples. An extensive empirical analysis shows that high-frequency measures are particularly informative of the dynamic quantiles. Finally, an out-of-sample forecast analysis of quantile-based risk measures confirms the merit of the REQ

QSAR Model for Cytotoxicity of Silica Nanoparticles on Human Embryonic Kidney Cells1

Abstract A predictive model for cytotoxicity of 20 and 50 nm silica nanoparticles has been built using so-called optimal descriptors as mathematical functions of size, concentration and exposure time. These parameters have been encoded into 31 combinations 'concentration-exposure-size'. The calculation has been carried out by means of the CORAL software ( http://www.insilico.eu/coral/ ) using three random splits of the obtained systems into training and test sets. The statistical quality of the best model for cell viability (%) of cultured human embryonic kidney cells (HEK293) exposed to different concentrations of silica nanoparticles measured by MTT assay is satisfactory