242 research outputs found

    Daily Weather Maps as Illustrations of Weather Types

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    Author Institution: Department of Geography, The Ohio State University, Columbus 1

    A discussion and preliminary evaluation of nudging as an environmental policy instrument

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    Traditional environmental policy instruments have not always proven successful in fostering environmentally friendly behaviour. The question remains: how can policymakers tackle the attitude-behaviour gap when it comes to pro- environmental choices and sustainable lifestyles? One solution that has emerged is green nudging, a new and potentially promising policy tool born of behavioural economics and experimental psychology. This paper contributes to the current discussion surrounding green nudging with an extensive overview of the subject and the establishment of a policy evaluative framework, which, in addition to incorporating the criteria, efficacy and effectiveness, focuses on the commonly neglected dimension of ethics. A preliminary policy evaluation of two types of nudging — defaults and social norms — suggests that while green nudging has proven to be both efficacious in laboratory settings and effective in real life, there remain many ethical concerns that must be accounted for in the implementation of this new policy instrument. Policymakers may be able to use these insights to further develop green nudging as a means to promote pro- environmental behaviour and come a step closer to effective and ethical environmental policymaking

    An Open-World Extension to Knowledge Graph Completion Models

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    We present a novel extension to embedding-based knowledge graph completion models which enables them to perform open-world link prediction, i.e. to predict facts for entities unseen in training based on their textual description. Our model combines a regular link prediction model learned from a knowledge graph with word embeddings learned from a textual corpus. After training both independently, we learn a transformation to map the embeddings of an entity's name and description to the graph-based embedding space. In experiments on several datasets including FB20k, DBPedia50k and our new dataset FB15k-237-OWE, we demonstrate competitive results. Particularly, our approach exploits the full knowledge graph structure even when textual descriptions are scarce, does not require a joint training on graph and text, and can be applied to any embedding-based link prediction model, such as TransE, ComplEx and DistMult.Comment: 8 pages, accepted to AAAI-201

    Establishment, morphology and properties of carbon nanotube networks in polymer melts

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    As for nanofillers in general, the properties of carbon nanotube (CNT) -polymer composites depend strongly on the filler arrangement and the structure of the filler network. This article reviews our actual understanding of the relation between processing conditions, state of CNT dispersion and structure of the filler network on the one hand, and the resulting electrical, melt rheological and mechanical properties, on the other hand. The as-produced rather compact agglomerates of CNTs (initial agglomerates, >1 μm), whose structure can vary for different tube manufacturers, synthesis and/or purification conditions, have first to be well dispersed in the polymer matrix during the mixing step, before they can be arranged to a filler network with defined physical properties by forming secondary agglomerates. Influencing factors on the melt dispersion of initial agglomerates of multi-walled CNTs into individualized tubes are discussed in context of dispersion mechanisms, namely the melt infiltration into initial agglomerates, agglomerate rupture and nanotube erosion from agglomerate surfaces. The hierarchical morphology of filler arrangement resulting from secondary agglomeration processes has been found to be due to a competition of build-up and destruction for the actual melt temperature and the given external flow field forces. Related experimental results from in-line and laboratory experiments and a model approach for description of shear-induced properties are presented

    Preparation and Characterization of Extruded Nanocomposite Based on Polycarbonate/Butadiene-Acrylonitrile-Styrene Blend Filled with Multiwalled Carbon Nanotubes

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    "This is the peer reviewed version of the following article: Marcin, W., Benedito, A., & Gimenez, E. (2014). Preparation and characterization of extruded nanocomposite based on polycarbonate/butadiene‐acrylonitrile‐styrene blend filled with multiwalled carbon nanotubes. Journal of Applied Polymer Science, 131(10)., which has been published in final form at https://doi.org/10.1002/app.40271. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."[EN] Nanocomposites of polycarbonate/acrylonitrile-butadiene-styrene (PC/ABS) with multiwall carbon nanotubes (MWCNT) prepared by masterbatch dilution are investigated in this work. Melt compounding with twin screw extruder is followed by complete characterization of morphology, rheological-, mechanical-, and thermal-properties of the nanocomposites. Light-transmission- and scanning electron microscopy shows the preferential location of MWCNT in the PC. Nevertheless, relatively good dispersion in the whole matrix is achieved, what is corroborated with the specific mechanical energy. The study of viscoelastic properties of PC/ABSMWCNT shows the fluid solid transition below 0.5 wt % MWCNT. Beyond this point the continuous nanofiller network is formed in the matrix promoting the reinforcement. Addition of 0.5 wt % MWCNT reduces ductility of PC/ABS and enhances Young s modulus by about 30% and yield stress by about 20%. Moreover, theoretical values of stiffness calculated within this work agree with the experimental data. Electrical conductivity, showing percolation at 2.0 wt % MWCNT, are influenced by processing temperature.This work is funded by the European Community's Seventh Framework Program (FP7-PEOPLE-ITN-2008) within the CONTACT project Marie Curie Fellowship under grant number 238363.Marcin, W.; Benedito, A.; Giménez Torres, E. (2014). 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    Role of processing history on the mechanical and electrical behavior of melt-compounded polycarbonate-multiwalled carbon nanotube nanocomposites

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    This work investigates the effects of primary compounding temperature and secondary melt processes on the mechanical response and electrical resistivity of polycarbonate filled with 3 wt % multiwalled carbon nanotubes (CNT). Nanocomposites were melt compounded in an industrial setting at a range of temperatures, and subsequently either injection molded or compression molded to produce specimens for the measurement of electrical resistivity, surface hardness, and uniaxial tensile properties. Secondary melt processing was found to be the dominant process in determining the final properties. The effects observed have been attributed to structural arrangements of the CNT network as suggested by morphological evidence of optical microscopy and resistivity measurements. Properties were found to be relatively insensitive to compounding temperature. The measured elastic moduli were consistent with existing micromechanical models
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