Desempenho de falantes do português brasileiro com desenvolvimento típico de linguagem no Test of Narrative Language (TNL)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Desempenho de falantes do português brasileiro com desenvolvimento típico de linguagem no Test of Narrative Language (TNL)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Between the court and the revolution: the role of one ""merchant"" in America, capital of portuguese Empire

The article discusses the trajectory of Manuel Luis da Veiga which, as a merchant in Portugal (where he was born) invested to install a factory in Pernambuco after the arrival of Real Family in the Rio de Janeiro, considering the changes, in these days, in the Portuguese Empire. It focuses the political sociabilities, remarking the role of Veiga in the court and his writings on political economy, understanding both as two linked dimensions of his social practice. It points out that his trajectory shows a deeply changing world in terms of paradigms, impossible to be understood simply in patterns of what was old or new in the beginning of XIX century.

Automatic (data-based) learning of expressive indicators for machine failure detection : a proposal

Máster Universitario en Sistemas Inteligentes y Aplicaciones Numéricas en Ingeniería (SIANI)

The influence of nonverbal language on mediation

[ES]Mediation is a process that assigns meaning through the discourse of the disputants whereby signals that are verbally sent become rare indicators to dig for full communication. If reading nonverbal language was not taken into account, we would lose approximately 93% of the total information conveyed by someone; for this reason, it is necessary to know the most recurrent gestures to, thus, foster mediators’ communication skills in order to substantially improve their discourse and understanding. This paper focuses on arguing why nonverbal language is crucial for the mediation process on the basis of the analysis of the theoretical framework of the matter and its implications for mediation.

Structure learning of graphical models for task-oriented robot grasping

In the collective imaginaries a robot is a human like machine as any androids in science fiction. However the type of robots that you will encounter most frequently are machinery that do work that is too dangerous, boring or onerous. Most of the robots in the world are of this type. They can be found in auto, medical, manufacturing and space industries. Therefore a robot is a system that contains sensors, control systems, manipulators, power supplies and software all working together to perform a task. The development and use of such a system is an active area of research and one of the main problems is the development of interaction skills with the surrounding environment, which include the ability to grasp objects. To perform this task the robot needs to sense the environment and acquire the object informations, physical attributes that may influence a grasp. Humans can solve this grasping problem easily due to their past experiences, that is why many researchers are approaching it from a machine learning perspective finding grasp of an object using information of already known objects. But humans can select the best grasp amongst a vast repertoire not only considering the physical attributes of the object to grasp but even to obtain a certain effect. This is why in our case the study in the area of robot manipulation is focused on grasping and integrating symbolic tasks with data gained through sensors. The learning model is based on Bayesian Network to encode the statistical dependencies between the data collected by the sensors and the symbolic task. This data representation has several advantages. It allows to take into account the uncertainty of the real world, allowing to deal with sensor noise, encodes notion of causality and provides an unified network for learning. Since the network is actually implemented and based on the human expert knowledge, it is very interesting to implement an automated method to learn the structure as in the future more tasks and object features can be introduced and a complex network design based only on human expert knowledge can become unreliable. Since structure learning algorithms presents some weaknesses, the goal of this thesis is to analyze real data used in the network modeled by the human expert, implement a feasible structure learning approach and compare the results with the network designed by the expert in order to possibly enhance it.

"Portugal Vale A Pena" Un ritratto senza tempo del portogallo attraverso il prisma dei giornalisti

This dissertation aims at enhancing the cultural and linguistic skills in Portuguese of the author of this work, as it is a third language. This activity is carried out starting from the analysis and research of topics mentioned in a number of texts within a particular literary work, “Portugal Vale A Pena”. In this work, many Portuguese personalities express their vision on their country and state why Portugal matters. Since these texts have many cultural references, it can be assumed that such work of analysis and research can lead to better linguistic skills as well as a greater knowledge of the Portuguese culture. All of the chosen texts were originally written by journalists. This choice originates from the important service these professionals provide to the public as well as from the special role their work has played in my interpreting studies over the last couple of years. Chapter 1 explains why I chose this dissertation and who are the target users of these texts. Chapter 2 focuses on the role of journalists. A brief history of modern journalism is presented and its functions are analysed. This chapter also includes a section that examines which values make an event newsworthy. Attention is then paid to the evolution of Portuguese journalism, from Salazar's dictatorship until today. Teaching of journalism in Portuguese academia is also presented. Then, a selection of Portuguese-language media is offered. Chapter 3 focuses on some aspects of Portugal, with particular attention to its history. Finally, Chapter 4 presents a selection of texts from the original book. This part provides a biography of the authors, a translation with a comment and a presentation of some of the topics from the texts. To conclude, a glossary with words and expressions from the original text is included and their translations into Italian, Spanish and English are provided.

Localization of primary language areas by arcuate fascicle fiber tracking

To reduce the risk of disabling postoperative functional deficit in patients with lesions in the dominant hemisphere, information about the localization of eloquent language areas is mandatory.

Lost in translation: the impact of publication language on citation frequency in the scientific dental literature

Citation metrics are commonly used as a proxy for scientific merit and relevance. Papers published in English, however, may exhibit a higher citation frequency than research articles published in other languages, though this issue has not yet been investigated from a Swiss perspective where English is not the native language.