• Energy Research
• Restricted close
• NL close
• IT close
• US close
• GB close

This dataset was generated via a focused piece of research conducted by Dr Matilda Aspinall and Dr Amy Twigger Holroyd which investigated the experiences of students and staff involved in Fashion Fictions projects in 2022 at two institutions: LASALLE College of the Arts in Singapore and Nottingham Trent University. This focused research was situated within the broader Fashion Fictions project. Fashion Fictions, founded by Amy Twigger Holroyd in 2020, brings people together to generate, experience and reflect on engaging fictional visions of alternative fashion cultures and systems. Through these activities, we gain new perspectives on challenges, possibilities and pathways for change in the real world. The project is structured in three stages. Stage 1 prompts contributors to create brief written outlines of fictional fashion cultures and systems, known as Worlds; at Stage 2, participants put flesh on these outlines and create visual or material prototypes to represent their cultures, known as Explorations; at Stage 3, they performatively enact practices or events from the fictional worlds. To find out more about Fashion Fictions, visit the project website. To see other data linked to the project, visit the Fashion Fictions Zenodo community. -------------------------------- In both institutions, Fashion Fictions was initially introduced to the curriculum in the 2020/21 academic year; the activities discussed here took place in the following year, with a second cohort of students. At NTU, first-year undergraduate students from BA (Hons) courses in Fashion Design, Textile Design and Fashion Knitwear Design & Knitted Textiles undertook a short Stage 2 Fashion Fictions project. Spanning three two-hour workshops, the project was part of a Future Thinking toolkit within a module that aims to develop students’ intellectual curiosity and appreciation of the future as something that can be shaped and questioned. Working in small cross-course groups, students were given a specified Stage 1 fiction and asked to create a visual or material prototype to represent everyday life in that world, presented via a selection of images and a short explanatory text. At LASALLE, Fashion Fictions was set up as a major project extending across a 14-week semester for second-year students on two BA (Hons) programmes: Fashion Media and Industries and Fashion Design and Textiles. Also working in cross-course collaborative groups, the students first created their own Stage 1 world and then progressed to create a collection of Stage 2 prototypes in the form of garments and related media such as photographs and films, accompanied by an extensive body of supporting work. -------------------------------- in April and May 2022 we conducted semi-structured interviews with tutors involved in the projects – Lorraine Warde (Principal Lecturer in Fashion Design) at NTU and Martin Bonney and Kathryn Shannon Sim Yen Ping (Lecturers in Fashion, interviewed together) at LASALLE – and with three student groups, selected by the tutors, from each institution. The interview schedules for students and tutors each comprised four reflective questions, designed to gain an insight into the students’ experiences and the tutors’ observations. Each recorded interview lasted between twenty and sixty minutes. -------------------------------- The dataset is organised in nine folders: 1 Project context Project website About page from February 2022 (explaining the wider project at the time of this research). Project website Education projects page from January 2022 (giving context to the education projects taking place at the time of this research). 2 Activity guidance Project website Stage 1 (World) online guide from January 2022 (as available for use by LASALLE students). NTU virtual workspace Stage 2 (Exploration) guidance (as used by NTU students and providing an indication of the type of guidance that would have been offered to LASALLE students for their Stage 2 work - although their project was much longer in duration). 3 Interview documentation Information sheet and consent form given to research participants. Interview questions for staff and students, shared with all participants in advance. 4 LASALLE staff interview Transcript of interview with Martin Bonney and Kathryn Shannon Sim Yen Ping (Lecturers in Fashion). 5 LASALLE student interviews Transcripts of interviews with three student groups, each identified by the number/letter of the Stage 1 World and Stage 2 Exploration they created (as listed on the project website Worlds and Explorations pages). 6 LASALLE student work Project work (Stage 1 Worlds and Stage 2 Explorations) created by the three student groups interviewed, as displayed on the project website. One group (World 154) did not submit their Exploration for the website. 7 NTU staff interview Transcript of interview with Lorraine Warde (Principal Lecturer in Fashion Design). 8 NTU student interviews Transcripts of interviews with three student groups, each identified by the number/letter of the Stage 2 Exploration they created (as listed on the project website Explorations page). 9 NTU student work Project work (Stage 2 Explorations) created by the three student groups interviewed. Two groups' work is as displayed on the project website. One group (World 95, Exploration X) did not submit their Exploration for the website and so their internal presentation has been included instead.

The Environmental Displacement Dataset (EnDis) quantifies human movement in response to sudden-onset natural hazards, including floods, storms, wildfires, landslides, earthquakes, and volcanic activity.

AbstractBACKGROUND: Inappropriate utilisation of biosolids may adversely impact agrosystem productivity. Here, we address the response of wheat (Triticum durum) to different doses (0, 40, 100, 200 and 300 t ha−1) of either municipal solid waste (MSW) compost or sewage sludge in a greenhouse pot experiment. Plant growth, heavy metal uptake, and antioxidant activity were considered.RESULTS: Biomass production of treated plants was significantly enhanced at 40 t ha−1 and 100 t ha−1 of MSW compost (+48% and +78% relative to the control, respectively). At the same doses of sewage sludge, the increase was only 18%. Higher doses of both biosolids restricted significantly the plant growth, in concomitance with the significant accumulation of heavy metals (Ni2+, Pb2+, Cu2+ and Zn2+), especially in leaves. Leaf activities of antioxidant enzymes (ascorbate peroxidase, glutathione reductase, catalase and superoxide dismutase) were unchanged at 40 t ha−1 MSW compost or sewage sludge, but were significantly stimulated at higher doses (200–300 t ha−1), together with higher leaf concentration of reduced glutathione.CONCLUSION: This preliminary study suggests that a MSW supply at moderate doses (100 t ha−1) could be highly beneficial for wheat productivity. Copyright © 2010 Society of Chemical Industry

Globalization has changed the way global society addresses common and global problems.

Diesel engine exhausts from a common rail 3.0 L F1C diesel engine were analyzed at two different load conditions of the WLTC testing cycle downstream of both the diesel particulate filter (DPF) and selective catalytic reactor (SCR) to verify their effect on the characteristics of carbon particulate matter. An array of chemical, physical and spectroscopic techniques (gas chromatography coupled with mass spectrometry (GC-MS), mobility analyzer, UV-Visible absorption and fluorescence spectroscopy) was applied for characterizing polycyclic aromatic hydrocarbons (PAH), heavy aromatic compounds and soot, constituting the particulate matter (PM) sampled from the exhaust. The engine was operated in half load (HL) (188 Nm, representing the more common condition for engine in urban traffic) and full load (FL) (452 Nm, representing the best performance of the engine operation) conditions, at the same engine speed (2000 rpm). Soot formation was enhanced in HL condition, with respect to FL, but, just because of the much lower soot amount, the after-treatment systems in this last condition resulted to be less efficient in the soot abatement. Indeed, the abatement through DPF was about 40% lower in the FL condition with respect to HL condition, and any significant further concentration decrease was found after SCR, in both conditions. By contrast, PAH concentration after DPF abatement was found to be higher in the HL with respect to FL condition. A further PAH concentration decrease of about 30% was found after the SCR in the HL condition whereas in FL the reduction was only about 5-6%. Also the heavy aromatic compounds having molecular weight above the GC-MS detection limit (300 u), were mitigated by SCR. Therefore, SCR did not cause a further soot reduction, whereas it was effective in largely reducing PAH and heavy aromatics emissions, especially in the lower temperature condition featuring the half-load condition, when combustion efficiency is worse. Moreover, SCR system reduced the emission of small particles probably due to an enhanced agglomeration of particles, with beneficial effect on the harmfulness to human health.

Capítulos en libros This paper describes a strategic information platform developed for the German electric utility Eon, to provide historical bidding analysis and medium-term forecasting of the Iberian Electricity Market. This platform, PLAMER, has three main modules: Initialization module, consisting of different sub-modules to define the electrical system structure and to organize the input data of the rest of modules, PLAMER-bids, to read, aggregate and visualize market historical bids and also to prepare them for their future forecasted values, and PLAMER-clearing, for market clearing emulation using forecasted bids. PLAMER-clearing models the Iberian market based on a bid clearing mechanism with an inherent market splitting procedure. This market splitting is built with a bi-nodal simplification, one node representing the Spanish System and the other the Portuguese one. Both are simply connected by a unique equivalent interconnection line. The medium term clearing model uses a generation portfolio per generation company in terms of technologies, for supplying monthly demand for different load levels, and labour and non-labour periods. Some technical constraints, such as minimum outputs and pumping energy balance, are also taking into account. The mathematical problem of PLAMER-clearing is a quadratic programming model solved using GAMS language and CPLEX optimizer. Finally, a real Iberian case study is detailed and some market splitting outputs are analyzed. info:eu-repo/semantics/publishedVersion

This paper presents results of an online stated choice experiment on preferences of Dutch private car owners for alternative fuel vehicles (AFVs) and their characteristics. Results show that negative preferences for alternative fuel vehicles are large, especially for the electric and fuel cell car, mostly as a result of their limited driving range and considerable refueling times. Preference for AFVs increases considerably with improvements on driving range, refueling time and fuel availability. Negative AFV preferences remain, however, also with substantial improvements in AFV characteristics; the remaining willingness to accept is on average € 10,000-€ 20,000 per AFV. Results from a mixed logit model show that consumer preferences for AFVs and AFV characteristics are heterogeneous to a large extent, in particular for the electric car, additional detour time and fuel time for the electric and fuel cell car. An interaction model reveals that annual mileage is by far the most important factor that determines heterogeneity in preferences for the electric and fuel cell car. When annual mileage increases, the preference for electric and fuel cell cars decreases substantially, whilst the willingness to pay for driving range increases substantially. Other variables such as using the car for holidays abroad and the daily commute also appear to be relevant for car choice. © 2014 Elsevier Ltd.

Climaps.eu is an online atlas providing data, visualizations and commentaries about climate adaptation debate. It contains 33 issue-maps and 5 issue-stories. Each of the maps focuses on one issue in the adaptation debate and provides.The atlas is addressed to climate experts (negotiators, NGOs and companies concerned by global warming, journalists…) and to citizens willing to engage with the issues of climate adaptation.It employs advanced digital methods to deploy the complexity of the issues related to climate adaptation and information design to make this complexity legible.

In ecological risk assessment, exposure is generally modelled assuming static conditions, herewith neglecting the potential role of emission, environmental and biomass dynamics in affecting bioavailable concentrations. In order to investigate the influence of such dynamics on predicted bioavailable concentrations, the spatially-resolved dynamic model "ChimERA fate" was developed, incorporating macrophyte and particulate/dissolved organic carbon (POC/DOC) dynamics into a water-sediment system. An evaluation against three case studies revealed a satisfying model performance. Illustrative simulations then highlighted the potential spatio-temporal variability of bioavailable concentrations after a pulsed emission of four chemicals in a system composed of a pond connected to its inflow and outflow streams. Changes in macrophyte biomass and POC/DOC levels caused exposure variations which were up to a factor of 4.5 in time and even more significant (several orders of magnitude) in space, especially for highly hydrophobic chemicals. ChimERA fate thus revealed to be a useful tool to investigate such variations and to identify those environmental and ecological conditions in which risk is expected to be highest.