Method for Aspect-Based Sentiment Annotation Using Rhetorical Analysis

This paper fills a gap in aspect-based sentiment analysis and aims to present a new method for preparing and analysing texts concerning opinion and generating user-friendly descriptive reports in natural language. We present a comprehensive set of techniques derived from Rhetorical Structure Theory and sentiment analysis to extract aspects from textual opinions and then build an abstractive summary of a set of opinions. Moreover, we propose aspect-aspect graphs to evaluate the importance of aspects and to filter out unimportant ones from the summary. Additionally, the paper presents a prototype solution of data flow with interesting and valuable results. The proposed method's results proved the high accuracy of aspect detection when applied to the gold standard dataset

EGCG Treatment on Ts65Dn Mice Suggests a Possible Correlation in Cognitive Development Deficit Reduction

poster abstractDown syndrome (DS) is caused by trisomy of human chromosome 21 (Ts21), affecting 1 in 700 live births. Ts21 results in about 80 phenotypes of which intellectual disability (ID) is one of the most debilitating. DYRK1A, found in 3 copies in individuals with Ts21 has been linked to alterations in morphology and function of the brain resulting in ID. Epigallocatechin-3-gallate (EGCG), a specific inhibitor of Dyrk1a activity has been hypothesized as a possible treatment for the overexpression of this gene, reducing the deficits caused by Dryk1a. Using the Ts65Dn mouse model, we examined the effects on hippocampal dependent learning and memory in the novel object recognition task (NOR) using mice of 3-6 weeks of age (adolescent mice). They were given free access to EGCG (0.124 mg/mL) in their drinking water for 21 days. They were then tested for cognitive improvement through NOR. Ts65Dn and control mice (treated and untreated) were subjected to 3 days of testing with 15 minute sessions per day consisting of habituation, exposure, and test day. All procedures were recorded and analyzed to determine time spent exploring novel object in relation to familiar. Our current results suggest that s65Dn mice do not spend as much time exploring the novel object as euploid mice and there exists a genotype effect, but treatment is not correcting the learning and memory deficit. We hypothesize that continuous EGCG treatment may be needed in order to see cognitive deficit reduction in adolescent mice

Compositional analysis of InAs-GaAs-GaSb heterostructures by low-loss electron energy loss spectroscopy

As an alternative to Core-Loss Electron Energy Loss Spectroscopy, Low-Loss EELS is suitable for compositional analysis of complex heterostructures, such as the InAs-GaAs-GaSb system, since in this energy range the edges corresponding to these elements are better defined than in Core-Loss. Furthermore, the analysis of the bulk plasmon peak, which is present in this energy range, also provides information about the composition. In this work, compositional information in an InAs-GaAs-GaSb heterostructure has been obtained from Low-Loss EEL spectra

Strain balanced quantum posts

Quantum posts are assembled by epitaxial growth of closely spaced quantum dot layers, modulating the composition of a semiconductor alloy, typically InGaAs. In contrast with most self-assembled nanostructures, the height of quantum posts can be controlled with nanometer precision, up to a maximum value limited by the accumulated stress due to the lattice mismatch. Here we present a strain compensation technique based on the controlled incorporation of phosphorous, which substantially increases the maximum attainable quantum post height. The luminescence from the resulting nanostructures presents giant linear polarization anisotropy.Comment: Submitted to Applied Physics Letters (7th March 2011). 4 pages, 4 figure

Structure and diversity of shallow soft-bottom benthic macrofauna in the Gulf of Lions (NW Mediterranean).

14 páginas, 10 figuras, 4 tablas.Samples of soft-sediment macrobenthos from 92 sites between 10 and 50 m depth were used to assess (1) the main soft-bottom macrofauna communities in the Gulf of Lions, (2) the different components of the diversity of benthic macrofauna in this area, and (3) the relevance of the use of major taxonomic groups as surrogates for the analysis of the structure and diversity of total macrofauna. Three main communities were identified by cluster analysis and associated procedures. These communities corresponded well to the assemblages recently identified on the basis of polychaete composition. The a-diversity indices were in accordance with those reported for similar communities in the Mediterranean. Conversely, the b-diversity value was higher than the few other data available in the literature for marine soft-bottom macrofauna. The total number of species in the studied area estimated by the ‘‘total species accumulation curve’’ (TS) method was 2,319, which was only 10% higher than the number obtained by extrapolation of the species–area curve. The similarity matrix based on polychaetes correlated best with the one based on total macrofauna. Polychaetes and crustaceans were also the best surrogates of total macrofauna when assessing a-diversity (except in the case of D*). Conversely, molluscs were the best surrogates of total macrofauna b-diversity. Our results show that the choice of an optimal surrogate for total benthic macrofauna depends on the characteristic of the benthic macrofauna to be studied. Moreover, this choice is also dependent on the environment to be studiedThis work is part of the PhD thesis of Ce´line Labrune. It was carried out within the EC Network of Excellence MARBEF. Ce´line Labrune was supported by the SYSCOLAG project run by the Re´gion Languedoc-Roussillon.Peer reviewe

Observability and optimal maneuver for bearings only tracking

The aim of this paper is to definite a criteria of quality of the estimates for bearings only tracking . The index of performance is a function of the "condition number" of the error covariance matrix in the extended Kalman filter in the second part, we describe the on-line maneuver of the own ship minimizing the error of the estimâtes . To improve the robustness of the filter a new adaptative algorithm is proposed .Le but de cet article est d'une part de définir un critère qualifiant en temps réel les performances de la poursuite azimétrique en précisant la direction la plus et la moins observable, et d'autre part, de rechercher la manceuvre optimale du lanceur assurant la meilleure observabilité des estimés . Pour améliorer la robustesse du filtre, un algorithme adaptatif est décrit dans la dernière partie de cet article