A theoretical and experimental account of n-tuple classifier performance

The n-tuple recognition method is briefly reviewed, summarizing the main theoretical results. Large-scale experiments carried out on Stat-Log project datasets confirm this method as a viable competitor to more popular methods due to its speed, simplicity, and accuracy on the majority of a wide variety of classification problems. A further investigation into the failure of the method on certain datasets finds the problem to be largely due to a mismatch between the scales which describe generalization and data sparseness.

Understanding U.S. regional linguistic variation with Twitter data analysis

We analyze a Big Data set of geo-tagged tweets for a year (Oct. 2013–Oct. 2014) to understand the regional linguistic variation in the U.S. Prior work on regional linguistic variations usually took a long time to collect data and focused on either rural or urban areas. Geo-tagged Twitter data offers an unprecedented database with rich linguistic representation of fine spatiotemporal resolution and continuity. From the one-year Twitter corpus, we extract lexical characteristics for twitter users by summarizing the frequencies of a set of lexical alternations that each user has used. We spatially aggregate and smooth each lexical characteristic to derive county-based linguistic variables, from which orthogonal dimensions are extracted using the principal component analysis (PCA). Finally a regionalization method is used to discover hierarchical dialect regions using the PCA components. The regionalization results reveal interesting linguistic regional variations in the U.S. The discovered regions not only confirm past research findings in the literature but also provide new insights and a more detailed understanding of very recent linguistic patterns in the U.S.

Actin binding proteins:their ups and downs in metastatic life

In order to metastasize away from the primary tumor site and migrate into adjacent tissues, cancer cells will stimulate cellular motility through the regulation of their cytoskeletal structures. Through the coordinated polymerization of actin filaments, these cells will control the geometry of distinct structures, namely lamella, lamellipodia and filopodia, as well as the more recently characterized invadopodia. Because actin binding proteins play fundamental functions in regulating the dynamics of actin polymerization, they have been at the forefront of cancer research. This review focuses on a subset of actin binding proteins involved in the regulation of these cellular structures and protrusions, and presents some general principles summarizing how these proteins may remodel the structure of actin. The main body of this review aims to provide new insights into how the expression of these actin binding proteins is regulated during carcinogenesis and highlights new mechanisms that may be initiated by the metastatic cells to induce aberrant expression of such proteins. © 2013 Landes Bioscience.

Oxidized phospholipids:their properties and interactions with proteins

Lipids are a highly diverse class of biomolecules, with an average eukaryotic cell estimated as containing at least 100,000 different species. The significance of this diversity is still poorly understood, yet it has become clear that lipids have critical regulatory as well as structural roles, varying from signaling (e.g. phosphatidylinositols, prostaglandins, platelet activating factor, ceramide) to the control of permeability properties of skin, for instance. An unprecedented discovery from recent efforts in lipidomics, aimed at the elucidation of the functional roles of lipids in cells, was the key role for lipid oxidation in cell behavior and pathology. More specifically, oxidized phospholipids (oxPL) have been shown to increase significantly in apoptosis as well as in inflammation and to be involved in several pathological conditions, such as atherosclerosis, cancer, inflammation, Alzheimer's and Parkinson's disease, as well as type 2 diabetes, with the detailed mechanisms remaining to be established. However, a coherent overall view of the causalities and mechanisms has been lacking, mainly because of insufficient understanding of the cellular as well as molecular level mechanisms. This Special Issue represents a focused, integrated interdisciplinary approach summarizing very recent leading edge developments in this emerging field with emphasis on lipid–protein interactions. The data now becoming available are paving the way to the development of improved diagnostics, therapies and preventive measures to combat the above diseases.

PhonItalia:a phonological lexicon for Italian

In this article, we present the first open-access lexical database that provides phonological representations for 120,000 Italian word forms. Each of these also includes syllable boundaries and stress markings and a comprehensive range of lexical statistics. Using data derived from this lexicon, we have also generated a set of derived databases and provided estimates of positional frequency use for Italian phonemes, syllables, syllable onsets and codas, and character and phoneme bigrams. These databases are freely available from phonitalia.org. This article describes the methods, content, and summarizing statistics for these databases. In a first application of this database, we also demonstrate how the distribution of phonological substitution errors made by Italian aphasic patients is related to phoneme frequency. © 2013 Psychonomic Society, Inc.

Zonisamide as a treatment for partial epileptic seizures:A systematic review

Although the majority of people with epilepsy have a good prognosis and their seizures can be well controlled with pharmacotherapy, up to one-third of patients can develop drug-resistant epilepsy, especially those patients with partial seizures. This unmet need has driven considerable efforts over the last few decades aimed at developing and testing newer antiepileptic agents to improve seizure control. One of the most promising antiepileptic drugs of the new generation is zonisamide, a benzisoxazole derivative chemically unrelated to other anticonvulsant agents. In this article, the authors present the results of a systematic literature review summarizing the current evidence on the efficacy and tolerability of zonisamide for the treatment of partial seizures. Of particular interest within this updated review are the recent data on the use of zonisamide as monotherapy, as they might open new therapeutic avenues. © 2014 Springer Healthcare.

Summarization of scientific documents by detecting common facts in citations

Reading scientific articles is more time-consuming than reading news because readers need to search and read many citations. This paper proposes a citation guided method for summarizing multiple scientific papers. A phenomenon we can observe is that citation sentences in one paragraph or section usually talk about a common fact, which is usually represented as a set of noun phrases co-occurring in citation texts and it is usually discussed from different aspects. We design a multi-document summarization system based on common fact detection. One challenge is that citations may not use the same terms to refer to a common fact. We thus use term association discovering algorithm to expand terms based on a large set of scientific article abstracts. Then, citations can be clustered based on common facts. The common fact is used as a salient term set to get relevant sentences from the corresponding cited articles to form a summary. Experiments show that our method outperforms three baseline methods by ROUGE metric.©2013 Elsevier B.V. All rights reserved.

An unsupervised Bayesian modelling approach to storyline detection from news articles

Storyline detection from news articles aims at summarizing events described under a certain news topic and revealing how those events evolve over time. It is a difficult task because it requires first the detection of events from news articles published in different time periods and then the construction of storylines by linking events into coherent news stories. Moreover, each storyline has different hierarchical structures which are dependent across epochs. Existing approaches often ignore the dependency of hierarchical structures in storyline generation. In this paper, we propose an unsupervised Bayesian model, called dynamic storyline detection model, to extract structured representations and evolution patterns of storylines. The proposed model is evaluated on a large scale news corpus. Experimental results show that our proposed model outperforms several baseline approaches.

Cross-country report:a first cross-country analysis and profiling of social enterprises prepared by the SEFORÏS research consortium

This cross-country report shares first insights from the World's Largest Panel Study of Social Enterprises, which covers seven European Countries (Germany, Hungary, Portugal, Romania, Spain, Sweden, the United Kingdom), China and Russia. It captures the behavior and characteristics of representative samples of social enterprises in these countries who are employers. The report covers a range of topics from profiling social enterprise directors and their social enterprises, to innovation activities and barriers, their entrepreneurial orientation, social missions, social impact metrics to summarizing policy recommendations that social entrepreneurs would like to see being implemented in their countries. Who should read this report? The report is written for social enterprises, social enterprises support organisations and policy makers who want to get an overview of social enterprise in the UK. Thank you to all the social entrepreneurs who made this report possible by participating in our study!

SEFORIS Country Report - Social Enterprises in the United Kingdom

This country report shares first insights from the World's Largest Panel Study of Social Enterprises for the United Kingdom. It captures the behavior and characteristics of a representative sample of UK social enterprises who are employers. The report covers a range of topics from profiling social enterprise directors and their social enterprises, to innovation activities and barriers, their entrepreneurial orientation, social missions, social impact metrics to summarizing policy recommendations that social entrepreneurs would like to see being implemented. Who should read this report? The report is written for social enterprises, social enterprises support organisations and policy makers who want to get an overview of social enterprise in the UK. Thank you to all the social entrepreneurs who made this report possible by participating in our study!