New framework for score segmentation and analysis in OpenMusic

We present new tools for the segmentation and analysis of musical scores in the OpenMusic computer-aided composition environment. A modular object-oriented framework enables the creation of segmentations on score objects and the implementation of automatic or semi-automatic analysis processes. The analyses can be performed and displayed thanks to customizable classes and callbacks. Concrete examples are given, in particular with the implementation of a semi-automatic harmonic analysis system and a framework for rhythmic transcription.

Automatic Abdominal Aortic Aneurysm segmentation in MR images

Abdominal Aortic Aneurism is a disease related to a weakening in the aortic wall that can cause a break in the aorta and the death. The detection of an unusual dilatation of a section of the aorta is an indicative of this disease. However, it is difficult to diagnose because it is necessary image diagnosis using computed tomography or magnetic resonance. An automatic diagnosis system would allow to analyze abdominal magnetic resonance images and to warn doctors if any anomaly is detected. We focus our research in magnetic resonance images because of the absence of ionizing radiation. Although there are proposals to identify this disease in magnetic resonance images, they need an intervention from clinicians to be precise and some of them are computationally hard. In this paper we develop a novel approach to analyze magnetic resonance abdominal images and detect the lumen and the aortic wall. The method combines different algorithms in two stages to improve the detection and the segmentation so it can be applied to similar problems with other type of images or structures. In a first stage, we use a spatial fuzzy C-means algorithm with morphological image analysis to detect and segment the lumen; and subsequently, in a second stage, we apply a graph cut algorithm to segment the aortic wall. The obtained results in the analyzed images are pretty successful obtaining an average of 79% of overlapping between the automatic segmentation provided by our method and the aortic wall identified by a medical specialist. The main impact of the proposed method is that it works in a completely automatic way with a low computational cost, which is of great significance for any expert and intelligent system.

The orchestration of modes and EFL audio-visual comprehension: A multimodal discourse analysis of vodcasts

This thesis explores the role of multimodality in language learners’ comprehension, and more specifically, the effects on students’ audio-visual comprehension when different orchestrations of modes appear in the visualization of vodcasts. Firstly, I describe the state of the art of its three main areas of concern, namely the evolution of meaning-making, Information and Communication Technology (ICT), and audio-visual comprehension. One of the most important contributions in the theoretical overview is the suggested integrative model of audio-visual comprehension, which attempts to explain how students process information received from different inputs. Secondly, I present a study based on the following research questions: ‘Which modes are orchestrated throughout the vodcasts?’, ‘Are there any multimodal ensembles that are more beneficial for students’ audio-visual comprehension?’, and ‘What are the students’ attitudes towards audio-visual (e.g., vodcasts) compared to traditional audio (e.g., audio tracks) comprehension activities?’. Along with these research questions, I have formulated two hypotheses: Audio-visual comprehension improves when there is a greater number of orchestrated modes, and students have a more positive attitude towards vodcasts than traditional audios when carrying out comprehension activities. The study includes a multimodal discourse analysis, audio-visual comprehension tests, and students’ questionnaires. The multimodal discourse analysis of two British Council’s language learning vodcasts, entitled English is GREAT and Camden Fashion, using ELAN as the multimodal annotation tool, shows that there are a variety of multimodal ensembles of two, three and four modes. The audio-visual comprehension tests were given to 40 Spanish students, learning English as a foreign language, after the visualization of vodcasts. These comprehension tests contain questions related to specific orchestrations of modes appearing in the vodcasts. The statistical analysis of the test results, using repeated-measures ANOVA, reveal that students obtain better audio-visual comprehension results when the multimodal ensembles are constituted by a greater number of orchestrated modes. Finally, the data compiled from the questionnaires, conclude that students have a more positive attitude towards vodcasts in comparison to traditional audio listenings. Results from the audio-visual comprehension tests and questionnaires prove the two hypotheses of this study.

A tale of oversimplification and deregulation: the mainstream approach to labour market segmentation and the recent responses to the crisis in European countries. WP C.S.D.L.E. “Massimo D’Antona”.INT – 102/2013

After advocating flexibilization of non-standard work contracts for many years, some European and international institutions and several policy makers now indicate the standard employment relationship and its regulation as a cause of segmentation between the labour market of "guaranteed" insiders, employed under permanent contracts with effective protection against unfair dismissal, and the market of the “not-guaranteed” outsiders, working with non-standard contracts. Reforms of employment legislation are therefore being promoted and approved in different countries, allegedly aiming to balance the legal protection afforded to standard and non-standard workers. This article firstly argues that this approach is flawed as it oversimplifies reasons of segmentation as it concentrates on an “insiders-outsiders” discourse that cannot easily be transplanted in continental Europe. After reviewing current legislative changes in Italy, Spain and Portugal, it is then argued that lawmakers are focused on “deregulation” rather than “balancing protection” when approving recent reforms. Finally, the mainstream approach to segmentation and some of its derivative proposals, such as calls to introduce a “single permanent contract”, are called into question, as they seem to neglect the essential role of job protection in underpinning the effectiveness of fundamental and constitutional rights at the workplace.

Audição e Comportamento Expressivo na Creche: Música e Expressão Plástica

O presente relatório científico assenta no paradigma da investigação qualitativa, tendo o investigador uma observação participante, descrevendo objetivamente o contexto em que está inserido, colocando a sua interpretação do que observa. Neste processo, o investigador recolhe os dados fazendo descrições rigorosas e detalhadas do que está a observar, tendo em conta o contexto onde está inserido, através de notas de campo. Pretende esclarecer o que observa, dando-lhe o seu próprio sentido das situações que visualiza. Este processo leva o investigador a desenvolver uma prática reflexiva, questionando a realidade onde está inserido. Neste sentido, este estudo aborda uma problemática: “Como caracterizar mais-valias na ligação entre a audição musical e expressão plástica no exercício pedagógico com crianças entre os 12 e os 24 meses”, possibilitando a compreensão da influência que a música tem sobre a criança quando estas desenvolvem atividades de expressão plástica. Propomos um estudo que dê resposta à questão emergente, analisando a análise e recolha de dados, traduzidos nas questões orientadoras. Estes aspetos ajudam-nos a compreender como o educador pode ajudar a criança a usufruir de forma livre e espontânea destas duas expressões aliadas uma com a outra. A importância deste estudo assenta na preocupação que o educador deve manifestar no desenvolvimento da criança, promovendo aprendizagens prazerosas, autoconfiança e autonomia. Relativamente ao valor deste tipo de exploração, penso que todas as experiências que se puder proporcionar à criança desta faixa etária são mais-valias, desde que lhes seja atribuída uma intencionalidade. Estes primeiros anos de vida são essências para o seu desenvolvimento, tendo o adulto um papel fundamental. No que diz respeito à expressão plástica, os cuidados do educador devem ser sempre o de não procurar a estética do que a criança realiza, pois não é isso que vai ajudar a criança no seu desenvolvimento, mas sim a apreciação do conteúdo emocional que aquela criação apresenta. Este estudo é baseado em referências teóricas como Santos (2009), Sousa (2003), Gordon (2008) e Amado (1999), entre outros, que abordam aprendizagens musicais em creche, a importância da via emocional nas expressões e a educação pela arte.

FISICO: Fast Image SegmentatIon COrrection.

BACKGROUND AND PURPOSE In clinical diagnosis, medical image segmentation plays a key role in the analysis of pathological regions. Despite advances in automatic and semi-automatic segmentation techniques, time-effective correction tools are commonly needed to improve segmentation results. Therefore, these tools must provide faster corrections with a lower number of interactions, and a user-independent solution to reduce the time frame between image acquisition and diagnosis. METHODS We present a new interactive method for correcting image segmentations. Our method provides 3D shape corrections through 2D interactions. This approach enables an intuitive and natural corrections of 3D segmentation results. The developed method has been implemented into a software tool and has been evaluated for the task of lumbar muscle and knee joint segmentations from MR images. RESULTS Experimental results show that full segmentation corrections could be performed within an average correction time of 5.5±3.3 minutes and an average of 56.5±33.1 user interactions, while maintaining the quality of the final segmentation result within an average Dice coefficient of 0.92±0.02 for both anatomies. In addition, for users with different levels of expertise, our method yields a correction time and number of interaction decrease from 38±19.2 minutes to 6.4±4.3 minutes, and 339±157.1 to 67.7±39.6 interactions, respectively.