Marvell's Latin Poetry and the Art of Punning

This chapter analyses Marvell’s linguistic ingenuity as exemplified by his Latin poetic corpus. Here, it is argued, a pseudo Lucretian sensitivity to the parallelism between the structure of Latin words and the structure of the world co-exists with a linguistic methodology that is essentially Marinesque. Close examination of the Latin poems as a whole assesses the nature and significance of etymological play, paronomasia, puns on juxtaposed Latin words, on place names, and on personal names. It is suggested that such devices demonstrate ways in which the neo-Latin poetic text can serve both as a linguistic microcosm of the literary contexts in which they are employed, and as a re-invention of the artifice, extravagant conceits, and baroque wit of Marinism. The result is a neo-Latin ‘echoing song’ that is both intra- and intertextual. Through bilingual punning and phonological wit Marvell plays with a classical language only to demonstrate its transformative potential. The chapter concludes by offering a new reading of Hortus in relation to the garden sections of Marino’s L’Adone, in which an extravagantly luscious setting confounds the senses and is mirrored linguistically by word-clusters and labyrinthine punning.

Old truths and new politics:Does truth commission 'publicness' impact democratization?

This article analyzes the relationship between truth and politics by asking whether the 'publicness' of a truth commission - defined by whether it has public hearings, releases a public report, and names perpetrators - contributes to democratization. The article reviews scholarship relevant to the potential democratizing effects of truth commissions and derives mechanisms that help explain this relationship. Work from the transitional justice field as well as democratization and political transition more generally is considered. Using a newly-constructed Truth Commission Publicness Dataset (TCPD), the analysis finds that even after statistically controlling for initial levels of democracy, democratic trends in the years prior to a commission, level of wealth, amnesties and/or trials, the influence of the South African Truth and Reconciliation Commission, and different cutoff points for measuring democratization across a number of models, more publicness predicts higher levels of democracy years after the commission has finished its work. The more public a truth commission is, the more it will contribute to democratization. The finding that more public truth commissions are associated with higher levels of democratization indicates particular strategies that policymakers, donors, and civil society activists may take to improve prospects for democracy in a country planning a truth commission in the wake of violence and/or government abuse. © The Author(s) 2012.

Placenamesni.org: new entries in database

Commentaries on and explanations of small corpus of place-names

Fish product mislabelling: failings of traceability in the production chain and implications for illegal, unreported and unregulated (IUU) fishing

Increasing consumer demand for seafood, combined with concern over the health of our oceans, has led to many initiatives aimed at tackling destructive fishing practices and promoting the sustainability of fisheries. An important global threat to sustainable fisheries is Illegal, Unreported and Unregulated (IUU) fishing, and there is now an increased emphasis on the use of trade measures to prevent IUU-sourced fish and fish products from entering the international market. Initiatives encompass new legislation in the European Union requiring the inclusion of species names on catch labels throughout the distribution chain. Such certification measures do not, however, guarantee accuracy of species designation. Using two DNA-based methods to compare species descriptions with molecular ID, we examined 386 samples of white fish, or products labelled as primarily containing white fish, from major UK supermarket chains. Species specific real-time PCR probes were used for cod (Gadus morhua) and haddock (Melanogrammus aeglefinus) to provide a highly sensitive and species-specific test for the major species of white fish sold in the UK. Additionally, fish-specific primers were used to sequence the forensically validated barcoding gene, mitochondrial cytochrome oxidase I (COI). Overall levels of congruence between product label and genetic species identification were high, with 94.34% of samples correctly labelled, though a significant proportion in terms of potential volume, were mislabelled. Substitution was usually for a cheaper alternative and, in one case, extended to a tropical species. To our knowledge, this is the first published study encompassing a large-scale assessment of UK retailers, and if representative, indicates a potentially significant incidence of incorrect product designation.

Improving Recall of Regular Expressions for Information Extraction

Learning or writing regular expressions to identify instances of a specific
concept within text documents with a high precision and recall is challenging.
It is relatively easy to improve the precision of an initial regular expression
by identifying false positives covered and tweaking the expression to avoid the
false positives. However, modifying the expression to improve recall is difficult
since false negatives can only be identified by manually analyzing all documents,
in the absence of any tools to identify the missing instances. We focus on partially
automating the discovery of missing instances by soliciting minimal user
feedback. We present a technique to identify good generalizations of a regular
expression that have improved recall while retaining high precision. We empirically
demonstrate the effectiveness of the proposed technique as compared to
existing methods and show results for a variety of tasks such as identification of
dates, phone numbers, product names, and course numbers on real world datasets

Recurrent Convolutional Network for Video-based Person Re-Identification

In this paper we propose a novel recurrent neural networkarchitecture for video-based person re-identification.Given the video sequence of a person, features are extracted from each frame using a convolutional neural network that incorporates a recurrent final layer, which allows information to flow between time-steps. The features from all time steps are then combined using temporal pooling to give an overall appearance feature for the complete sequence. The convolutional network, recurrent layer, and temporal pooling layer, are jointly trained to act as a feature extractor for video-based re-identification using a Siamese network architecture.Our approach makes use of colour and optical flow information in order to capture appearance and motion information which is useful for video re-identification. Experiments are conduced on the iLIDS-VID and PRID-2011 datasets to show that this approach outperforms existing methods of video-based re-identification.

https://github.com/niallmcl/Recurrent-Convolutional-Video-ReID
Project Source Code

Branding strategies for high technology products: The effects of consumer and product innovativeness

Choice of an appropriate branding strategy is a critical determinant of new product success. Prior work on fast-moving-consumer-goods (FMCG) prescribes that new products carry new (vs. existing) brand names to appeal to earlier adopters - a critical target for new products. However, such a prescription may not be prudent for high-technology (HT) products, as they often involve considerably more consumer perceived risk than FMCG. By drawing on Dowling and Staelin's (1994) framework of perceived-risk handling, we propose that both earlier and later adopters will favor existing brands to cope with the elevated risk associated with an innovative HT product. Two studies - one conducted in an experimental setting and the other in a field setting - support the proposition that both earlier and later adopters respond more favorably to existing (vs. new) brands on innovative HT products.

Triangular Objects and Systematic K-Theory

We investigate modules over “systematic” rings. Such rings are “almost graded” and have appeared under various names in the literature; they are special cases of the G-systems of Grzeszczuk. We analyse their K-theory in the presence of conditions on the support, and explain how this generalises and unifies calculations of graded and filtered K-theory scattered in the literature. Our treatment makes systematic use of the formalism of idempotent completion and a theory of triangular objects in additive categories, leading to elementary and transparent proofs throughout.