Música em projetos socioassistenciais governamentais: práticas e concepções culturais no Serviço de Convivência e Fortalecimento de Vínculos em Natal/RN

This present research focus at the teaching of music in social programs, it discuss about the teaching concepts that permeates the educational-musical practice presents in Serviço de Convivência e Fortalecimento de Vínculos (SCFV), of Complexo Dom Bosco, in Natal-RN. The Objective is to reflect upon the music teaching concepts and the relations between musical knowledge and culture. For this, it was problematized the concepts of music teaching and learning in governmental social projects through theoretical and empirical research. After this step, it was studied the cultural aspects involving the routine in the institutions the influenced the music learning at Serviço de Convivência e Fortalecimento de Vínculos, furthermore, and how these aspects are present in the constitution of the paradigms that involve music teaching. For this, it was used a qualitative approach and a case study as type of research. As data capture tool it was used the ethnographic write, photography, interviews as a Facilitator of music with the students of the program, and video recordings of musical learning situations. Theoretical support it was used authors who study the complexity, culture and music teaching in social projects. Finally, the conclusion is that musical learning, in the SCFV context, is involved of cultural conceptions steeped to the Oratório Dom Bosco space and the same time the Brazilian Social Assistance Policy. Sometimes these concepts are contradictory: discipline, leadership and combat social exclusion refer to dialogical cultural hologram of the institutions involved in the music education process.

Applicazioni di Mixed Reality e Microsoft Hololens: studio e riprogettazione del concetto di ologramma e della relativa gestione all'interno di un'applicazione olografica.

La tesi presenta una panoramica sull'augmented, virtual e mixed reality, descrivendone le caratteristiche e le modalità di sviluppo. Come caso di studio viene analizzato il dispositivo Microsoft Hololens, descrivendone le caratteristiche concettuali, hardware e software. Per le applicazioni di questo dispositivo viene effettuata una riprogettazione della gestione e del concetto di ologramma all'interno di un'applicazione olografica, analizzandone i motivi e i vantaggi. E' fornita una overview sui dettagli implementativi della riprogettazione al fine di chiarire ogni aspetto dell'applicazione.

Design and development of a Unity based framework for augmented worlds

The way we've always envisioned computer programs is slowly changing. Thanks to the recent development of wearable technologies we're experiencing the birth of new applications that are no more limited to a fixed screen, but are instead sparse in our surroundings by means of fully fledged computational objects. In this paper we discuss proper techniques and technologies to be used for the creation of "Augmented Worlds", through the design and development of a novel framework that can help us understand how to build these new programs.

Développement d'approches quantitatives de type "structure-activité" pour la modélisation pharmacocinétique

Thèse numérisée par la Direction des bibliothèques de l'Université de Montréal.

Développement d'approches quantitatives de type "structure-activité" pour la modélisation pharmacocinétique

Thèse numérisée par la Direction des bibliothèques de l'Université de Montréal.

Chlorine Contribution to Quantitative Structure and Activity Relationship Models of Disinfection By-Products' Quantum Chemical Descriptors and Toxicities

Quantitative Structure-Activity Relationship (QSAR) has been applied extensively in predicting toxicity of Disinfection By-Products (DBPs) in drinking water. Among many toxicological properties, acute and chronic toxicities of DBPs have been widely used in health risk assessment of DBPs. These toxicities are correlated with molecular properties, which are usually correlated with molecular descriptors. The primary goals of this thesis are: 1) to investigate the effects of molecular descriptors (e.g., chlorine number) on molecular properties such as energy of the lowest unoccupied molecular orbital (ELUMO) via QSAR modelling and analysis; 2) to validate the models by using internal and external cross-validation techniques; 3) to quantify the model uncertainties through Taylor and Monte Carlo Simulation. One of the very important ways to predict molecular properties such as ELUMO is using QSAR analysis. In this study, number of chlorine (NCl) and number of carbon (NC) as well as energy of the highest occupied molecular orbital (EHOMO) are used as molecular descriptors. There are typically three approaches used in QSAR model development: 1) Linear or Multi-linear Regression (MLR); 2) Partial Least Squares (PLS); and 3) Principle Component Regression (PCR). In QSAR analysis, a very critical step is model validation after QSAR models are established and before applying them to toxicity prediction. The DBPs to be studied include five chemical classes: chlorinated alkanes, alkenes, and aromatics. In addition, validated QSARs are developed to describe the toxicity of selected groups (i.e., chloro-alkane and aromatic compounds with a nitro- or cyano group) of DBP chemicals to three types of organisms (e.g., Fish, T. pyriformis, and P.pyosphoreum) based on experimental toxicity data from the literature. The results show that: 1) QSAR models to predict molecular property built by MLR, PLS or PCR can be used either to select valid data points or to eliminate outliers; 2) The Leave-One-Out Cross-Validation procedure by itself is not enough to give a reliable representation of the predictive ability of the QSAR models, however, Leave-Many-Out/K-fold cross-validation and external validation can be applied together to achieve more reliable results; 3) ELUMO are shown to correlate highly with the NCl for several classes of DBPs; and 4) According to uncertainty analysis using Taylor method, the uncertainty of QSAR models is contributed mostly from NCl for all DBP classes.

Determination of thresholds in marine molluscs as an alternative to the Environmental Quality Standards in marine water defined in the Water Framework Directive

The Water Framework Directive (WFD) establishes Environmental Quality Standards (EQS) in marine water for 34 priority substances. Among these substances, 25 are hydrophobic and bioaccumulable (2 metals and 23 organic compounds). For these 25 substances, monitoring in water matrix is not appropriate and an alternative matrix should be developed. Bivalve mollusks, particularly mussels (Mytilus edulis, Mytilus galloprovincialis), are used by Ifremer as a quantitative biological indicator since 1979 in France, to assess the marine water quality. This study has been carried out in order to determine thresholds in mussels at least as protective as EQS in marine water laid down by the WFD. Three steps are defined: - Provide an overview of knowledges about the relations between the concentrations of contaminants in the marine water and mussels through bioaccumulation factor (BAF) and bioconcentration factor (BCF). This allows to examine how a BCF or a BAF can be determined: BCF can be determined experimentally (according to US EPA or ASTM standards), or by Quantitative Activity-Structure Relationship models (QSAR): four equations can be used for mussels. BAF can be determined by field experiment; but none standards exists. It could be determined by using QSAR but this method is considered as invalid for mussels, or by using existing model: Dynamic Budget Model, but this is complex to use. - Collect concentrations data in marine water (Cwater) in bibliography for those 25 substances; and compare them with concentration in mussels (Cmussels) obtained through French monitoring network of chemicals contaminants (ROCCH) and biological integrator network RINBIO. According to available data, this leads to determine the BAF or the BCF (Cmussels /Cwater) with field data. - Compare BAF and BCF values (when available) obtained with various methods for these substances: BCF (stemming from the bibliography, using experimental process), BCF calculated by QSAR and BAF determined using field data. This study points out that experimental BCF data are available for 3 substances (Chlorpyrifos, HCH, Pentachlorobenzene). BCF by QSAR can be calculated for 20 substances. The use of field data allows to evaluate 4 BAF for organic compounds and 2 BAF for metals. Using these BAF or BCF value, thresholds in shellfish can be determined as an alternative to EQS in marine water.

Investigations of Cloud Microphysical Response to Mixing Using Digital Holography

Cloud edge mixing plays an important role in the life cycle and development of clouds. Entrainment of subsaturated air affects the cloud at the microscale, altering the number density and size distribution of its droplets. The resulting effect is determined by two timescales: the time required for the mixing event to complete, and the time required for the droplets to adjust to their new environment. If mixing is rapid, evaporation of droplets is uniform and said to be homogeneous in nature. In contrast, slow mixing (compared to the adjustment timescale) results in the droplets adjusting to the transient state of the mixture, producing an inhomogeneous result. Studying this process in real clouds involves the use of airborne optical instruments capable of measuring clouds at the `single particle' level. Single particle resolution allows for direct measurement of the droplet size distribution. This is in contrast to other `bulk' methods (i.e. hot-wire probes, lidar, radar) which measure a higher order moment of the distribution and require assumptions about the distribution shape to compute a size distribution. The sampling strategy of current optical instruments requires them to integrate over a path tens to hundreds of meters to form a single size distribution. This is much larger than typical mixing scales (which can extend down to the order of centimeters), resulting in difficulties resolving mixing signatures. The Holodec is an optical particle instrument that uses digital holography to record discrete, local volumes of droplets. This method allows for statistically significant size distributions to be calculated for centimeter scale volumes, allowing for full resolution at the scales important to the mixing process. The hologram also records the three dimensional position of all particles within the volume, allowing for the spatial structure of the cloud volume to be studied. Both of these features represent a new and unique view into the mixing problem. In this dissertation, holographic data recorded during two different field projects is analyzed to study the mixing structure of cumulus clouds. Using Holodec data, it is shown that mixing at cloud top can produce regions of clear but humid air that can subside down along the edge of the cloud as a narrow shell, or advect down shear as a `humid halo'. This air is then entrained into the cloud at lower levels, producing mixing that appears to be very inhomogeneous. This inhomogeneous-like mixing is shown to be well correlated with regions containing elevated concentrations of large droplets. This is used to argue in favor of the hypothesis that dilution can lead to enhanced droplet growth rates. I also make observations on the microscale spatial structure of observed cloud volumes recorded by the Holodec.

Study on the practical realization of a device able to generate an in-space 3D luminous image

Gli ologrammi sono parte integrante della cultura pop a partire dagli anni 50, tanto che ad oggi sentirne parlare non desta più scalpore. Dal lato pratico, invece, solo negli ultimi anni sono state fatte ricerche approfondite con lo scopo di realizzarli. Fra i dispositivi attualmente in commercio, in pochi sono degni di nota e presentano numerose limitazioni, questo perché è molto difficile riuscire a progettare un sistema che permetta di illuminare dei punti specifici in uno spazio tridimensionale per lunghi periodi. In questa tesi si illustrano i principi di funzionamento ed il progetto per un nuovo dispositivo, diverso da quelli fino ad ora realizzati, che sfrutti il decadimento spontaneo di atomi di rubidio eccitati tramite due fasci laser opportunamente incrociati. Nel punto di incrocio si produce luce visibile a 420 nm. Con un opportuno sistema di specchi che muovono velocemente il punto di intersezione tra i due fasci è possibile realizzare un vero ologramma tridimensionale visibile da quasi ogni angolazione.

Anticancer drug discovery using artificial intelligence: an application in pharmacological activity prediction

Hematological cancers are a heterogeneous family of diseases that can be divided into leukemias, lymphomas, and myelomas, often called “liquid tumors”. Since they cannot be surgically removable, chemotherapy represents the mainstay of their treatment. However, it still faces several challenges like drug resistance and low response rate, and the need for new anticancer agents is compelling. The drug discovery process is long-term, costly, and prone to high failure rates. With the rapid expansion of biological and chemical "big data", some computational techniques such as machine learning tools have been increasingly employed to speed up and economize the whole process. Machine learning algorithms can create complex models with the aim to determine the biological activity of compounds against several targets, based on their chemical properties. These models are defined as multi-target Quantitative Structure-Activity Relationship (mt-QSAR) and can be used to virtually screen small and large chemical libraries for the identification of new molecules with anticancer activity. The aim of my Ph.D. project was to employ machine learning techniques to build an mt-QSAR classification model for the prediction of cytotoxic drugs simultaneously active against 43 hematological cancer cell lines. For this purpose, first, I constructed a large and diversified dataset of molecules extracted from the ChEMBL database. Then, I compared the performance of different ML classification algorithms, until Random Forest was identified as the one returning the best predictions. Finally, I used different approaches to maximize the performance of the model, which achieved an accuracy of 88% by correctly classifying 93% of inactive molecules and 72% of active molecules in a validation set. This model was further applied to the virtual screening of a small dataset of molecules tested in our laboratory, where it showed 100% accuracy in correctly classifying all molecules. This result is confirmed by our previous in vitro experiments.

Integrazione di Digital Twins e Mixed Reality: Un Caso di Studio

Questa tesi ha come proposito esplorare le architetture che integrano i Digital Twins in applicazioni di Mixed Reality. L’obiettivo cardine è quello di mostrare una possibile realizzazione di un sistema di questo tipo. Per raggiungere l’obiettivo posto si è scelto di progettare un sistema che sia realizzabile come soluzione in un contesto reale. La tesi è strutturata in modo tale da offrire al lettore una presentazione generale delle tecnologie utilizzate mantenendole ben distinte. Successivamente viene analizzata la possibilità di unire queste tecnologie presentando quindi delle possibili implementazioni. Come Caso di Studio si è scelto di realizzare un’applicazione a supporto dei medici che offrisse, durante un’operazione chirurgica, la possibilità di visualizzare il monitor dei parametri vitali tramite ologramma. L’architettura presentata viene suddivisa in tre sottosistemi indipendenti in base alla tecnologia presa di riferimento. Le macro sezioni presentate sono: Physical Asset, Digital Twins e Hologram. Questi sottosistemi vengono analizzati uno per volta e successivamente viene realizzata l’architettura inerente. Terminata la realizzazione del sistema, vengono presentate al lettore delle alternative architetturali con annesse le possibili implementazioni.