728 research outputs found

    HyperHamlet – Intricacies of Data Selection

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    HyperHamlet is a database of allusions to and quotations from Shakespeare's Hamlet, which is supported by the Swiss National Science Foundation as a joint venture between the Departments of English and German Philology, and the Image and Media Lab at the University of Basel. The compilation of a corpus, whose aim it is to document the "Shakespeare phenomenon", is intricate on more than one level: the desired transdisciplinary approach between linguistics, literary and cultural studies entails data selection from a vast variety of sources; the pragmatic nature of intertextual traces, i.e. their dependence on and subordination to new contexts, further adds to formal heterogeneity. This is not only a challenge for annotation, but also for data selection. As the recognition of intertextual traces is more often than not based on intuition, this paper analyses the criteria which underlie intuition so that it can be operationalised for scholarly corpus compilation. An analogue to the pragmatic model of ostensive-inferential communication with its three constitutive parts of speaker's meaning, sentence meaning and hearer's meaning has been used for analytical heuristics. Authorial intent – in a concrete as well as in an abstract historical sense – origin and specific encyclopaedic knowledge have been found to be the basic assumptions underlying data selection, while quantitative factors provide supporting evidence

    Elephant in the Room

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    This poem tries to express the difficulty of staying focused on one\u27s research when there is so much turmoil in the world

    The Solipsist’s First Paper

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    The angst of a graduate student who has not yet written a paper, but really wants to

    Probabilistic Models for Joint Segmentation, Detection and Tracking

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    Migrace buněk a buněčných částic hraje důležitou roli ve fungování živých organismů. Systematický výzkum buněčné migrace byl umožněn v posledních dvaceti letech rychlým rozvojem neinvazivních zobrazovacích technik a digitálních snímačů. Moderní zobrazovací systémy dovolují studovat chování buněčných populací složených z mnoha ticíců buněk. Manuální analýza takového množství dat by byla velice zdlouhavá, protože některé experimenty vyžadují analyzovat tvar, rychlost a další charakteristiky jednotlivých buněk. Z tohoto důvodu je ve vědecké komunitě velká poptávka po automatických metodách.Migration of cells and subcellular particles plays a crucial role in many processes in living organisms. Despite its importance a systematic research of cell motility has only been possible in last two decades due to rapid development of non-invasive imaging techniques and digital cameras. Modern imaging systems allow to study large populations with thousands of cells. Manual analysis of the acquired data is infeasible, because in order to gain insight into underlying biochemical processes it is sometimes necessary to determine shape, velocity and other characteristics of individual cells. Thus there is a high demand for automatic methods

    The Supernatural Media Virus

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    Since the 1990s, the virus and the network metaphors have become increasingly popular, finding application in a broad range of everyday discourses, academic disciplines, and fiction genres. In this book, Rahel Sixta Schmitz defines and discusses a trope recurring in Gothic fiction: the supernatural media virus. This trope comprises the confluence of the virus, the network, and a deep, underlying media anxiety. This study shows how Gothic narratives such as House of Leaves or The Ring feature the supernatural media virus to negotiate as well as actively shape imaginations of the network society and the dangers of a globalized, technologized world

    Purification of cellulosic pulp by hot water extraction

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    Hot water extraction (HWE) of pulp in a flow-through reactor was evaluated as a method to purify paper-grade pulps. About 50–80 % of the xylan and up to 50 % of the lignin in unbleached birch Kraft pulp was extracted by the HWE without losses in cellulose yield. The residual xylan content in the extracted pulps was predominantly too high for dissolving-grade applications, but some of the pulps with a xylan content of 5–7 % might still be suitable as rayon-grade pulps. Increasing extraction temperature lowered the xylan content at which cellulose yield started to decrease. Furthermore, at any given xylan content, increasing extraction temperature resulted in cellulosic pulp with higher degree of polymerization. The extracted xylan was recovered almost quantitatively as xylo-oligosaccharides. The results suggest that HWEs at elevated temperatures may be applied to purify cellulosic pulps, preferably containing a low xylan content, and to recover the extracted sugars.Finnish Bioeconomy Cluster FIBIC OyTechnology Development Centre (Finland

    Convergence rate bounds for iterative random functions using one-shot coupling

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    One-shot coupling is a method of bounding the convergence rate between two copies of a Markov chain in total variation distance, which was first introduced by Roberts and Rosenthal and generalized by Madras and Sezer. The method is divided into two parts: the contraction phase, when the chains converge in expected distance and the coalescing phase, which occurs at the last iteration, when there is an attempt to couple. One-shot coupling does not require the use of any exogenous variables like a drift function or a minorization constant. In this paper, we summarize the one-shot coupling method into the One-Shot Coupling Theorem. We then apply the theorem to two families of Markov chains: the random functional autoregressive process and the autoregressive conditional heteroscedastic (ARCH) process. We provide multiple examples of how the theorem can be used on various models including ones in high dimensions. These examples illustrate how the theorem's conditions can be verified in a straightforward way. The one-shot coupling method appears to generate tight geometric convergence rate bounds
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