Virtuosismo para instrumentário de sopro em Lisboa (1821-1870)

Dissertação apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Ciências Musicais

A Ocidente do Imenso Brasil: as conquistas dos rios Paraguai e Guaporé (1680-1750)

Tese apresentada para cumprimento dos requisitos necessários à obtenção do grau de Doutor em História da Expansão e dos Descobrimentos Portugueses

A intervenção dos orgãos de polícia criminal em sede de julgamento

Currently, Portugal assumes itself as a democratic rule of substantive law State, sustained by a legal system seeking the right balance between the guarantee of fundamental rights and freedoms constitutional foreseen in Portugal’s Fundamental Law and criminal persecution. The architecture of the penal code lies with, roughly speaking, a accusatory basic structure, “deliberately attached to one of the most remarkable achievements of the civilizational democratic progress, and by obedience to the constitutional commandment”, in balance with the official investigation principle, valid both for the purpose of prosecution and trial. Regarding the principle of non self-incrimination - nemo tenetur se ipsum accusare, briefly defined as the defendant’s right of not being obliged to contribute to the self-incrimination, it should be stressed that there isn’t an explicit consecration in the Portuguese Constitution, being commonly accepted in an implicit constitutional prediction and deriving from other constitutional rights and principles, first and foremost, the meaning and scope of the concept of democratic rule of Law State, embedded in the Fundamental Law, and in the guidelines of the constitutional principles of human person dignity, freedom of action and the presumption of innocence. In any case, about the (in) applicability of the principle of the prohibition of self-incrimination to the Criminal Police Bodies in the trial hearing in Court, and sharing an idea of Guedes Valente, the truth is that the exercise of criminal action must tread a transparent path and non-compliant with methods to obtain evidence that violate the law, the public order or in violation of democratic principles and loyalty (Guedes Valente, 2013, p. 484). Within the framework of the penal process relating to the trial, which is assumed as the true phase of the process, the witness represents a relevant figure for the administration of criminal justice, for the testimonial proof is, in the idea of Othmar Jauernig, the worst proof of evidence, but also being the most frequent (Jauernig, 1998, p. 289). As coadjutant of the Public Prosecutor and, in specific cases, the investigating judge, the Criminal Police Bodies are invested with high responsibility, being "the arms and eyes of Judicial Authorities in pursuing the criminal investigation..." which has as ultimate goal the fulfillment of the Law pursuing the defense of society" (Guedes Valente, 2013, p. 485). It is in this context and as a witness that, throughout operational career, the Criminal Police Bodies are required to be at the trial hearing and clarify the Court with its view about the facts relating to occurrences of criminal context, thus contributing very significantly and, in some cases, decisively for the proper administration of the portuguese criminal justice. With regards to the intervention of Criminal Police Bodies in the trial hearing in Court, it’s important that they pay attention to a set of standards concerning the preparation of the testimony, the very provision of the testimony and, also, to its conclusion. Be emphasized that these guidelines may become crucial for the quality of the police testimony at the trial hearing, thus leading to an improvement of the enforcement of justice system. In this vein, while preparing the testimony, the Criminal Police Bodies must present itself in court with proper clothing, to read before and carefully the case files, to debate the facts being judged with other Criminal Police Bodies and prepare potential questions. Later, while giving his testimony during the trial, the Criminal Police Bodies must, summing up, to take the oath in a convincing manner, to feel comfortable, to start well by convincingly answering the first question, keep an attitude of serenity, to adopt an attitude of collaboration, to avoid the reading of documents, to demonstrate deference and seriousness before the judicial operators, to use simple and objective language, to adopt a fluent speech, to use nonverbal language correctly, to avoid spontaneity responding only to what is asked, to report only the truth, to avoid hesitations and contradictions, to be impartial and to maintain eye contact with the judge. Finally, at the conclusion of the testimony, the Criminal Police Bodies should rise in a smooth manner, avoiding to show relief, resentment or satisfaction, leaving a credible and professional image and, without much formality, requesting the judge permission to leave the courtroom. As final note, it’s important to stress that "The intervention of the Police Criminal Bodies in the trial hearing in Court” encloses itself on a theme of crucial importance not only for members of the Police and Security Forces, who must welcome this subject with the utmost seriousness and professionalism, but also for the proper administration of the criminal justice system in Portugal.

Predicting market direction with hidden Markov models

This paper develops the model of Bicego, Grosso, and Otranto (2008) and applies Hidden Markov Models to predict market direction. The paper draws an analogy between financial markets and speech recognition, seeking inspiration from the latter to solve common issues in quantitative investing. Whereas previous works focus mostly on very complex modifications of the original hidden markov model algorithm, the current paper provides an innovative methodology by drawing inspiration from thoroughly tested, yet simple, speech recognition methodologies. By grouping returns into sequences, Hidden Markov Models can then predict market direction the same way they are used to identify phonemes in speech recognition. The model proves highly successful in identifying market direction but fails to consistently identify whether a trend is in place. All in all, the current paper seeks to bridge the gap between speech recognition and quantitative finance and, even though the model is not fully successful, several refinements are suggested and the room for improvement is significant.

Mapping the Pasture Steppe in Bayankhongor, Mongolia: comparison of classification methods, using Landsat-8 and geophysical data

Grasslands in semi-arid regions, like Mongolian steppes, are facing desertification and degradation processes, due to climate change. Mongolia’s main economic activity consists on an extensive livestock production and, therefore, it is a concerning matter for the decision makers. Remote sensing and Geographic Information Systems provide the tools for advanced ecosystem management and have been widely used for monitoring and management of pasture resources. This study investigates which is the higher thematic detail that is possible to achieve through remote sensing, to map the steppe vegetation, using medium resolution earth observation imagery in three districts (soums) of Mongolia: Dzag, Buutsagaan and Khureemaral. After considering different thematic levels of detail for classifying the steppe vegetation, the existent pasture types within the steppe were chosen to be mapped. In order to investigate which combination of data sets yields the best results and which classification algorithm is more suitable for incorporating these data sets, a comparison between different classification methods were tested for the study area. Sixteen classifications were performed using different combinations of estimators, Landsat-8 (spectral bands and Landsat-8 NDVI-derived) and geophysical data (elevation, mean annual precipitation and mean annual temperature) using two classification algorithms, maximum likelihood and decision tree. Results showed that the best performing model was the one that incorporated Landsat-8 bands with mean annual precipitation and mean annual temperature (Model 13), using the decision tree. For maximum likelihood, the model that incorporated Landsat-8 bands with mean annual precipitation (Model 5) and the one that incorporated Landsat-8 bands with mean annual precipitation and mean annual temperature (Model 13), achieved the higher accuracies for this algorithm. The decision tree models consistently outperformed the maximum likelihood ones.

Assessment of NDVI, land surface temperature and precipitation anomalies for drought monitoring in Bayankhongor province, Mongolia

During the last decade Mongolia’s region was characterized by a rapid increase of both severity and frequency of drought events, leading to pasture reduction. Drought monitoring and assessment plays an important role in the region’s early warning systems as a way to mitigate the negative impacts in social, economic and environmental sectors. Nowadays it is possible to access information related to the hydrologic cycle through remote sensing, which provides a continuous monitoring of variables over very large areas where the weather stations are sparse. The present thesis aimed to explore the possibility of using NDVI as a potential drought indicator by studying anomaly patterns and correlations with other two climate variables, LST and precipitation. The study covered the growing season (March to September) of a fifteen year period, between 2000 and 2014, for Bayankhongor province in southwest Mongolia. The datasets used were MODIS NDVI, LST and TRMM Precipitation, which processing and analysis was supported by QGIS software and Python programming language. Monthly anomaly correlations between NDVI-LST and NDVI-Precipitation were generated as well as temporal correlations for the growing season for known drought years (2001, 2002 and 2009). The results show that the three variables follow a seasonal pattern expected for a northern hemisphere region, with occurrence of the rainy season in the summer months. The values of both NDVI and precipitation are remarkably low while LST values are high, which is explained by the region’s climate and ecosystems. The NDVI average, generally, reached higher values with high precipitation values and low LST values. The year of 2001 was the driest year of the time-series, while 2003 was the wet year with healthier vegetation. Monthly correlations registered weak results with low significance, with exception of NDVI-LST and NDVI-Precipitation correlations for June, July and August of 2002. The temporal correlations for the growing season also revealed weak results. The overall relationship between the variables anomalies showed weak correlation results with low significance, which suggests that an accurate answer for predicting drought using the relation between NDVI, LST and Precipitation cannot be given. Additional research should take place in order to achieve more conclusive results. However the NDVI anomaly images show that NDVI is a suitable drought index for Bayankhongor province.