Experiencing Electric Vehicles: The Car as a Digital Platform

The transition towards electric vehicles (EV)s is rapidly increasing, and the automotive industry has been busy exchanging to electric engines. However, electrification of cars is not only about hardware, but it also implies a digitalisation of cars. Charging and maintenance of EVs is enabled through digital platforms. Little is known of how this digitalisation of cars affect people’s everyday lives. What happens when the car moves from being simply a machine that provides means for transport, but also becomes a power source and a sensor platform with computing capacity powered with AI driven technologies that is controlled via digital platforms? In this article, we present findings on how people experience and learn to live with EVs in their everyday life. We argue that ethnographic understandings of EVs as evolving digi-physical phenomena provide opportunities to foresight how to implement EVs from a people-centric perspective

The Structure of Conflict over EU Chemicals Policy

There is a lively academic debate over whether political cleavages in the European Union (EU) follow mainly territorial (national) or non-territorial (ideological) patterns. This article analyses the cleavages that structure the conflict over European chemicals policy, the so-called REACH system. Taking positions on this major policy as an empirical example, we test these competing theories on the nature of cleavages on environmental policy issues in the EU. We use data from an expert survey of more than 600 individuals to fulfil this aim. The results show that neither of the hypotheses is unequivocally supported. But the data indicate that cleavages based on non-territorial interests are much more important than territorial interests in explaining positions on REACH

Is There a Paradigm Shift for On-Board Computing and Processing?

Today we see the need for increased processing performance, driven by increased digitalization and new services such as Software Defined Radio, real-time Image Processing and enhanced Compression techniques, Artificial Intelligence and Machine Learning, Visual Navigation & Autonomous Control, Debris Removal etc. This, in combination with the bandwidth limitation in downlink channels present, the payload data needs to be processed and compressed on board before downlinked to the user on ground. Historically image processing in orbit has been performed using dedicated hardware and to certain extends software processing. These have been often, costly and in-flexible solutions, either using customized FPGAs or ASICs in order to achieve needed performance

The Perfect Atom: Bound States of Supersymmetric Quantum Electrodynamics

We study hydrogen-like atoms in N=1 supersymmetric quantum electrodynamics with an electronic and a muonic family. These atoms are bound states of an anti-muon and an electron or their superpartners. The exchange of a photino converts different bound states into each other. We determine the energy eigenstates and calculate the spectrum to fourth order in the fine structure constant. A difference between these perfect atoms and non-supersymmetric ones is the absence of hyperfine structure. We organize the eigenstates into super multiplets of the underlying symmetry algebra.Comment: 30 pages, 2 figures. v2: mistake associated with gauge choice fixed, references added. v3: comment about super-positronium added, published versio

WHAT DOES IT TAKE TO MAKE ELECTRIC CAR CHARGING ‘SMART’?

In this paper, we argue that the electrification of cars is not simply a move from fossil fuel to electric energy. It also integrates the car into the household energy system in ways that challenge assumptions that car charging is made ‘smart’ primarily through AI-powered app-based digital services that help the user to make energy-, and cost-efficient decisions in terms of when to charge the car. As we will demonstrate in this paper, our design ethnographic study of how nine households learn to charge their cars according to their family routines and values shows how smart charging is not merely due to specific technological features. Instead, charging habits evolve through anticipatory experiences of what smart technologies come to mean to family members through their use. Based on our research, we recommend a smart charging service design that affords multi-operation ability, co-learning ability and social accessibility

Experiencing the Future Car: Anticipatory UX as a Social and Digital Phenomenon

In order to be innovative and competitive, the automotive industry seeks to understand how to attract new customers, even before they have experienced the product. User Experience (UX) research often provides insights into situated uses of products, and reflections after their use, however tells us little about how products and services are experienced before use. We propose anticipation theory as a way to understand how shared experiences between people in an online discussion forum relate to UX of cars before they are actually experienced in real-life. We took an ethnographic approach to analyse the activities of members of a self-organised web-based discussion forum for Tesla car enthusiasts, to understand how product anticipation emerges in a digital-material setting. Our study identifies how anticipatory experiences create UX of car ownership which evolves through members’ engagement in a self-organised online community enabled through the digitalisation and connectivity of the car, and how such car experiences generate new forms of digital anticipation of the car. We conclude that the shift towards digitalisation of cars and subscription services creates a need for more interdisciplinary research into spatial and temporal aspects, where socially shared anticipatory experiences are increasingly important for the overall UX

Isolation, identification, and selection of strains as candidate probiotics and starters for fermentation of Swedish legumes

Background: The non-dairy sector is growing, fermented alternatives to dairy are sparse. Adapted starter cultures to substituting raw materials needs to be developed.Objective: Aims of this study were to isolate, identify, and phenotypically characterize lactic acid bacteria (LAB) that inhabit Swedish legumes, and assess properties necessary for selecting strains with the ability to ferment a bean beverage and with potential health beneficial properties.Design: Isolates of presumed LAB were obtained from legumes collected at 6land, Sweden. Strain diversity was assessed by repetitive polymerase chain reaction (rep-PCR). The strains were identified using\ua0 matrix- assisted laser desorption/ionization–time-of-flight mass spectrometry (MALDI-TOF MS). Species belonging to Enterococcus were predominant along with Pediococcus and closely related Bacillus. Strains were tested for tolerance to low pH, phenol, and bile as well as their bile salt hydrolase (BSH) activity. In addition, Enterococcus strains were tested for antibiotic resistance, and Pediococcus strains for their ability to ferment a bean beverage.Results: From the 25 strains char acterized, five were found resistant to low pH, bile, and phenol, suggesting that they can survive a passage through the gastrointestinal tract (GIT) and hence potentially exert beneficial effects in the host. These are suggested for further investigation on specific host-beneficial properties. Two of these, belonging to Pediococ cus pentosaceus, were able to ferment a bean beverage without any added nutrients, indicating that the Pediococcus strains are well adapted to the bean substrate. One of the P. pentosaceus strains were also able to markedly improve the reduction of phytate by the phytase-producing yeast strain Pichia kudriavzevii TY1322 during co-fermentation as well as increase the final cell count of the yeast strain.Conclusion: Strain isolation and characterization performed in this study aids in selecting starter cultures for legume fermentation. Nutritional properties can be improved by co-fermentation with yeast indicating that novel nutritious fermented non-dairy products could be developed

Balancing power density based quantum yield characterization of upconverting nanoparticles for arbitrary excitation intensities.

Upconverting nanoparticles (UCNPs) have recently shown great potential as contrast agents in biological applications. In developing different UCNPs, the characterization of their quantum yield (QY) is a crucial issue, as the typically drastic decrease in QY for low excitation power densities can either impose a severe limitation or provide an opportunity in many applications. The power density dependence of the QY is governed by the competition between the energy transfer upconversion (ETU) rate and the linear decay rate in the depopulation of the intermediate state of the involved activator in the upconversion process. Here we show that the QYs of Yb(3+) sensitized two-photon upconversion emissions can be well characterized by the balancing power density, at which the ETU rate and the linear decay rate have equal contributions, and its corresponding QY. The results in this paper provide a method to fully describe the QY of upconverting nanoparticles for arbitrary excitation power densities, and is a fast and simple approach for assessing the applicability of UCNPs from the perspective of energy conversion

Neonicotinoid pesticide and nitrate mixture removal and persistence in floating treatment wetlands

Mesocosm and microcosm experiments were conducted to explore the applicability of floating treatment wetlands (FTWs), an ecologically based management technology, to remove neonicotinoid insecticides and nitrate from surface water. The mesocosm experiment evaluated three treatments in triplicate over a 21-d period. Floating treatment wetland mesocosms completely removed nitrate-N over the course of the experiment even when neonicotinoid insecticides were present. At the completion of the experiment, 79.6% of imidacloprid and degradation byproducts and 68.3% of thiamethoxam and degradation byproducts were accounted for in the water column. Approximately 3% of imidacloprid and degradation byproducts and 5.0% of thiamethoxam and degradation byproducts were observed in above-surface biomass, while ∼24% of imidacloprid and degradation byproducts, particularly desnitro imidacloprid, and \u3c0.1% of thiamethoxam and degradation byproducts were found in the below surface biomass. Further, 1 yr after the experiments, imidacloprid, thiamethoxam, and degradation byproducts persisted in biomass but at lower concentrations in both the above- and below-surface biomass. Comparing the microbial communities of mature FTWs grown in the presence and absence of neonicotinoids, water column samples had similar low abundances of nitrifying Archaeal and bacterial amoA genes (below detection to 104 ml−1) and denitrifying bacterial nirK, nirS, and nosZ genes (below detection to 105 ml−1). Follow-up laboratory incubations found the highest denitrification potential activities in FTW plant roots compared with water column samples, and there was no effect of neonicotinoid addition (100 ng L−1) on potential denitrification activity. Based on these findings, (a) FTWs remove neonicotinoids from surface water through biomass incorporation, (b) neonicotinoids persist in biomass long-term (\u3e1 yr after exposure), and (c) neonicotinoids do not adversely affect nitrate-N removal via microbial denitrification

Microbial risk assessment of drinking water based on hydrodynamic modelling of pathogen concentrations in source water

Norovirus contamination of drinking water sources is an important cause of waterborne disease outbreaks. Knowledge on pathogen concentrations in source water is needed to assess the ability of a drinking water treatment plant (DWTP) to provide safe drinking water. However, pathogen enumeration in source water samples is often not sufficient to describe the source water quality. In this study, the norovirus concentrations were characterised at the contamination source, i.e. in sewage discharges. Then, the transport of norovirus within the water source (the river Gota alv in Sweden) under different loading conditions was simulated using a hydrodynamic model. Based on the estimated concentrations in source water, the required reduction of norovirus at the DWTP was calculated using quantitative microbial risk assessment (QMRA). The required reduction was compared with the estimated treatment performance at the DWTP. The average estimated concentration in source water varied between 4.8 x 10(2) and 7.5 x 10(3) genome equivalents L-1; and the average required reduction by treatment was between 7.6 and 8.8 Log(10). The treatment performance at the DWTP was estimated to be adequate to deal with all tested loading conditions, but was heavily dependent on chlorine disinfection, with the risk of poor reduction by conventional treatment and slow sand filtration. To our knowledge, this is the first article to employ discharge-based QMRA, combined with hydrodynamic modelling, in the context of drinking water. (C) 2015 Elsevier B.V. All rights reserved