485 research outputs found

    Overestimating one’s “green” behavior: Better-than-average bias may function to reduce perceived personal threat from climate change

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    The actions of others, and what others approve of, can be a powerful tool for promoting proenvironmental behavior. A potential barrier to the utility of social norms, however, are cognitive biases in how people perceive themselves and others, including the better‐than‐average effect. This effect describes the tendency for people to think they are exceptional, especially when compared with their peers. To investigate the role of the better‐than‐average effect in proenvironmental behavior, we administered questions as part of a larger online survey of 5,219 nationally representative Australians. Participants were asked to report whether they engaged in a list of 21 proenvironmental behaviors, and then asked to estimate how their engagement compared with that of the average Australian. Over half of our participants self‐enhanced; they overestimated their engagement in proenvironmental behaviors relative to others. Self‐enhancement was related to reduced perceptions of personal harm from climate change, more favorable assessments of coping ability, less guilt, and lower moral and ethical duty to take action to prevent climate change. These relationships held when participants skeptical about anthropogenic climate change were removed from analyses. We discuss the implications of the findings for the use of social norms in promoting proenvironmental behavior

    Relation Discovery from Web Data for Competency Management

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    This paper describes a technique for automatically discovering associations between people and expertise from an analysis of very large data sources (including web pages, blogs and emails), using a family of algorithms that perform accurate named-entity recognition, assign different weights to terms according to an analysis of document structure, and access distances between terms in a document. My contribution is to add a social networking approach called BuddyFinder which relies on associations within a large enterprise-wide "buddy list" to help delimit the search space and also to provide a form of 'social triangulation' whereby the system can discover documents from your colleagues that contain pertinent information about you. This work has been influential in the information retrieval community generally, as it is the basis of a landmark system that achieved overall first place in every category in the Enterprise Search Track of TREC2006

    ClaiMaker: weaving a semantic web of research papers

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    The usability of research papers on the Web would be enhanced by a system that explicitly modelled the rhetorical relations between claims in related papers. We describe ClaiMaker, a system for modelling readers’ interpretations of the core content of papers. ClaiMaker provides tools to build a Semantic Web representation of the claims in research papers using an ontology of relations. We demonstrate how the system can be used to make inter-document queries

    Localization of non-interacting electrons in thin layered disordered systems

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    Localization of electronic states in disordered thin layered systems with b layers is studied within the Anderson model of localization using the transfer-matrix method and finite-size scaling of the inverse of the smallest Lyapunov exponent. The results support the one-parameter scaling hypothesis for disorder strengths W studied and b=1,...,6. The obtained results for the localization length are in good agreement with both the analytical results of the self-consistent theory of localization and the numerical scaling studies of the two-dimensional Anderson model. The localization length near the band center grows exponentially with b for fixed W but no localization-delocalization transition takes place.Comment: 6 pages, 5 figure

    Weak localisation, hole-hole interactions and the "metal"-insulator transition in two dimensions

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    A detailed investigation of the metallic behaviour in high quality GaAs-AlGaAs two dimensional hole systems reveals the presence of quantum corrections to the resistivity at low temperatures. Despite the low density (rs>10r_{s}>10) and high quality of these systems, both weak localisation (observed via negative magnetoresistance) and weak hole-hole interactions (giving a correction to the Hall constant) are present in the so-called metallic phase where the resistivity decreases with decreasing temperature. The results suggest that even at high rsr_{s} there is no metallic phase at T=0 in two dimensions.Comment: 5 pages, 4 figure

    Shaken not stirred: Mixing semantics into XPDL

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    Ubiquitous computing requires lightweight approaches to coordinating tasks distributed across smart devices. We are currently developing a semantic workflow modelling approach that blends the proven robustness of XPDL with semantics to support proactive behaviour. We illustrate the potential of the model through an example based on mixing a dry martini

    Using a Semantic Wiki for Documentation Management in Very Small Projects

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    International audienceThe emerging ISO/IEC 29110 standard Lifecycle profiles for Very Small Entities is targeted at very small entity (VSE) having up to 25 people, to assist them unlock the potential benefits of using software engineering standards. VSEs may use semantic web technologies to improve documentation management infrastructure and processes. We proposed to use a semantic wiki for documentation management based on an identification scheme inspired from an IFLA proposition called Functional Requirements for Bibliographic Records. The document identification scheme allows documents to be managed by the internal resource management of the semantic wiki, hence benefiting from a straightforward but powerful version control. With few inputs of semantic annotations by VSE employees - through usable semantic forms and templates, the semantic wiki acts as a library catalog, and users can find, identify, select, obtain, and navigate resources

    Possible Metal/Insulator Transition at B=0 in Two Dimensions

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    We have studied the zero magnetic field resistivity of unique high- mobility two-dimensional electron system in silicon. At very low electron density (but higher than some sample-dependent critical value, ncr∌1011n_{cr}\sim 10^{11} cm−2^{-2}), CONVENTIONAL WEAK LOCALIZATION IS OVERPOWERED BY A SHARP DROP OF RESISTIVITY BY AN ORDER OF MAGNITUDE with decreasing temperature below 1--2 K. No further evidence for electron localization is seen down to at least 20 mK. For ns<Ncrn_s<N_{cr}, the sample is insulating. The resistivity is empirically found to SCALE WITH TEMPERATURE BOTH BELOW AND ABOVE ncrn_{cr} WITH A SINGLE PARAMETER which approaches zero at ns=ncrn_s=n_{cr} suggesting a metal/ insulator phase transition.Comment: 10 pages; REVTeX v3.0; 3 POSTSCRIPT figures available upon request; to be published in PRB, Rapid Commu

    Analysis of the Metallic Phase of Two-Dimensional Holes in SiGe in Terms of Temperature Dependent Screening

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    We find that temperature dependent screening can quantitatively explain the metallic behaviour of the resistivity on the metallic side of the so-called metal-insulator transition in p-SiGe. Interference and interaction effects exhibit the usual insulating behaviour which is expected to overpower the metallic background at sufficiently low temperatures. We find empirically that the concept of a Fermi-liquid describes our data in spite of the large r_s = 8.Comment: 4 pages, 3 figure

    Big Data Big Impact: How Firms are Using Social Media for Innovation and Better Performance

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    © 2018 the Authors. Firms continuously attempt to find new sources of information to innovate and achieve a superior performance. Big data present on social media platforms represents one of the new sources of information that firms are starting to rely on. This paper is an exploratory study to examine how firms are making use of social media and what kind of impact the social media use have. An online questionnaire was used to collect data from 75 firms in the United States. Our findings suggest that Big Data, in the form of social media data, has an impact on the firm’s innovativeness and performance, and that IT capability potentially plays a mediator role in this relation
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