10,682 research outputs found
Sopj: A scalable online provenance join for data integration
No full textData integration is a technique used to combine different sources of data together to provide an unified view among them. MOMIS[1] is an open-source data integration framework developed by the DBGroup1. The goal of our work is to make MOMIS be able to scale-out as the input data sources increase without introducing noticeable performance penalty. In particular, we present a full outer join method capable to efficiently integrate multiple sources at the same time by using data streams and provenance information. To evaluate the scalability of this innovative approach, we developed a join engine employing a distributed data processing framework. Our solution is able to process input data sources in the form of continuous stream, execute the join operation on-the-fly and produce outputs as soon as they are generated. In this way, the join can return partial results before the input streams have been completely received or processed optimizing the entire execution
Strategy for author name and email address retrieval.
No full textStrategy for author name and email address retrieval.</p
Perceived justice in email service recovery
No full textThis study adds to the limited research of service recovery in an online environment, drawing on data from Australia. It is perhaps the first non-US study of email service recovery as well as the first to apply a theoretical perspective - perceived justice - to email service recovery. The results of three annual studies resemble US results and support extending perceived justice to service recovery via email. The distributive elements of replying and offering compensation, the procedural element of answering completely, and the interactional element of thanking the customer showed significant positive relationships with customer satisfaction, positive word-of-mouth and repurchase intent. Perhaps most importantly for practitioners, the results of a stepwise regression showed that incorporating the simple phrase "thank-you" in the email reply was a strong predictor of successful email service recovery. Finally, this study found that response time might be less critical than previously thought
Peripheral neuropathy in hepatitis C virus-related mixed cryoglobulinaemia: existing treatments and a positive symptomatic response to oxcarbazepine.
No full textChiral tetranuclear and dinuclear copper(II) complexes for TEMPO-mediated aerobic oxidation of alcohols : are four metal centres better than two?
No full textThe one-pot reaction of 3,5-di-tert-butyl-2-hydroxybenzaldehyde, (R)-2-aminoglycinol and Cu(OAc)2·2H2O in a 1 : 1 : 1 ratio in the presence of triethylamine led to the isolation of X-ray quality crystals of the chiral complex (R)-1 in high yield. The single crystal structure of (R)-1 reveals a tetranuclear copper(II) complex that contains a {Cu4(μ-O)2(μ3-O)2N4O4} core. A reaction using (1S,2R)-2-amino-1,2-diphenylethanol as precursor under the same conditions generated the chiral complex (S,R)-2; its structure was determined by single crystal X-ray crystallography and was found to contain a {Cu2(μ-O)2N2O2} core. Both (R)-1 and (S,R)-2 have been used for catalytic aerobic oxidation of benzylic alcohols in combination with the TEMPO (2,2,6,6-tetramethylpiperidinyl-1-oxyl) radical. (R)-1 selectively catalyses the conversion of various aromatic primary alcohols to the corresponding aldehydes with high yields (99%) and TONs (770) in the air, while (S,R)-2 exhibits less promising catalytic performance under the same reaction conditions. The role of the cluster structures in (R)-1 and (S,R)-2 in controlling the reactivity towards aerobic oxidation reactions is discussed
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Identifying idiolect in forensic authorship attribution: an n-gram textbite approach
No full textForensic authorship attribution is concerned with identifying authors of disputed or anonymous documents, which are potentially evidential in legal cases, through the analysis of linguistic clues left behind by writers. The forensic linguist “approaches this problem of questioned authorship from the theoretical position that every native speaker has their own distinct and individual version of the language [. . . ], their own idiolect” (Coulthard, 2004: 31). However, given the diXculty in empirically substantiating a theory of idiolect, there is growing concern in the Veld that it remains too abstract to be of practical use (Kredens, 2002; Grant, 2010; Turell, 2010). Stylistic, corpus, and computational approaches to text, however, are able to identify repeated collocational patterns, or n-grams, two to six word chunks of language, similar to the popular notion of soundbites: small segments of no more than a few seconds of speech that journalists are able to recognise as having news value and which characterise the important moments of talk. The soundbite oUers an intriguing parallel for authorship attribution studies, with the following question arising: looking at any set of texts by any author, is it possible to identify ‘n-gram textbites’, small textual segments that characterise that author’s writing, providing DNA-like chunks of identifying material
Adapting LDA Model to Discover Author-Topic Relations for Email Analysis
No full textAnalyzing the author and topic relations in email corpus is an important issue in both social network analysis and text mining. The Author-Topic model is a statistical method that identifies the author-topic relations. However, in its inference process, it ignores the information at the document level, i.e., the co-occurrence of words within documents are not taken into account in deriving topics. This may not be suitable for email analysis. We propose to adapt the Latent Dirichlet Allocation model for analyzing email corpus. This method takes into account both the author-document relations and the document-topic relations. We use the Author-Topic model as the baseline method and propose measures to compare our method against the Author-Topic model. We did empirical analysis based on experimental results on both simulated data sets and real Enron email data set to show that our method obtains better performance than the Author-Topic model.L'analyse des relations entre l'auteur et le sujet dans un corpus de courriels constitue un sujet important pour l'analyse sociale des r\ue9seaux et l'exploration de texte. Le mod\ue8le auteur-sujet est une m\ue9thode statistique qui identifie les relations auteur-sujet. Toutefois, son processus d'inf\ue9rence ne tient pas compte de l'information au niveau du document, c'est-\ue0-dire que les cooccurrences des mots au sein d'un document ne sont pas prises en compte pour la d\ue9rivation des sujets. Ceci peut ne pas \ueatre appropri\ue9 pour l'analyse des courriels. Nous nous proposons d'adapter le mod\ue8le d'allocation de Dirichlet latente (LDA) afin d'analyser un corpus de courriels. Cette m\ue9thode prend en compte les relations auteur-document et document-sujet. Nous utilisons la m\ue9thode auteur-sujet comme m\ue9thode de r\ue9f\ue9rence et nous proposons des mesures afin de comparer notre m\ue9thode avec cette m\ue9thode de r\ue9f\ue9rence. Nous avons effectu\ue9 une analyse empirique bas\ue9e sur les r\ue9sultats d'exp\ue9riences effectu\ue9es avec des jeux de donn\ue9es simul\ue9es et un jeu de donn\ue9es r\ue9elles de courriels d'Enron afin de d\ue9montrer que notre m\ue9thode offre un meilleur rendement que le mod\ue8le auteur-sujet.NRC publication: Ye
Engineering enterprise through intellectual property education - pedagogic approaches
No full textEngineering faculties, despite shrinking resources, are delivering to new enterprise
agendas that must take account of the fuzzying of disciplinary boundaries. Learning and
teaching, curriculum design and research strategies reflect these changes. Driven by changing
expectations of how future graduates will contribute to the economy, academics in
engineering and other innovative disciplines are finding it necessary to re-think undergraduate
curricula to enhance students’ entrepreneurial skills, which includes their awareness and
competence in respect of intellectual property rights [IPRs]. There is no well established
pedagogy for educating engineers, scientists and innovators about intellectual property. This
paper reviews some different approaches to facilitating non-law students’ learning about IP.
Motivated by well designed ‘intended learning outcomes’ and assessment tasks, students can
be encouraged to manage their learning... The skills involved in learning about intellectual
property rights in this way can be applied to learning other key, but not core, subjects. At the
same time, students develop the ability to acquire knowledge, rather than rely on receiving it,
which is an essential competence for a ‘knowledge’ based worker
Self-archiving practice and the influence of publisher policies in the social sciences
No full textAuthors in different disciplines exhibit very different behaviours on the so-called ‘green’ road to open access, i.e. self-archiving. This study looks at the self-archiving behaviour of authors publishing in leading journals in six social science disciplines. It tests the hypothesis that authors are self-archiving according to the norms of their respective disciplines rather than following self-archiving policies of publishers, and that, as a result, they are self-archiving significant numbers of publisher PDF versions. It finds significant levels of
self-archiving, as well as significant self-archiving of
the publisher PDF version, in all the disciplines
investigated. Publishers’ self-archiving policies have
no influence on author self-archiving practice
Comparing consortial repositories: a model-driven analysis
No full textThis study aims to provide a comparative assessment of different repository consortia as a reference to inform future work in the area. A review of the literature was used to identify repository consortia, and their features were compared. Three models of consortial repositories were derived from this comparison, based on their structure and aims. The consortial models were based around either: creating a shared repository for the members, developing a repository software platform or creating a metadata harvesting service to aggregate content. Using case studies of each type of repository consortium, each model was assessed in terms of its particular strengths and weaknesses. These strengths were then compared across the models to enable those considering a consortial repository project to assess which model, or combination of models, would best address their needs and to aid in project planning
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