An evaluation of reovirus as an effective therapeutic for cancer

Cancer is a global problem. Despite the significant advances made in recent years, a definitively effective therapeutic has yet to be developed. Oncolytic virology has fallen back into favour for the treatment of cancer with several viruses and viral vectors currently under investigation including vesicular stomatitis virus (VSV), adenovirus vectors and herpes simplex virus (HSV) vectors. Reovirus has an advantage over many viral vectors in that its wild-type form is non-pathogenic and will selectively infect transformed cells, particularly those mutated in the Ras pathway. These advantages make Reovirus an ideal candidate as a safe and non-toxic therapeutic. The aim of the first part of this study was to determine the effect, if any, of Reovirus on cell lines derived from cancers of the gastrointestinal tract. These cancers, particularly those of the oesophagus and stomach, have extremely poor prognoses and little improvement has been seen in survival of these patients in recent years. Reovirus as a single therapy showed promising results in cell lines of oesophageal, gastric and colorectal origin. Further study of partially resistant cell lines using a combination of Reovirus and conventional therapies, either chemotherapy or radiation, showed that a multi-modal approach to therapy is possible with Reovirus and no antagonism between Reovirus and other treatments was observed. The second part of this study focused on investigating a novel use of Reovirus in an in vivo setting. Cancer vaccination or the use of vaccines in cancer therapy is gaining momentum and success has been seen both in a prophylactic approach and a therapeutic approach. A cell-based Reovirus vaccine was used in both these approaches with encouraging success. When used as a prophylactic vaccine tumour development was subsequently inhibited even upon exposure to a tumorigenic dose of cells. The use of the cell-based Reovirus vaccine as a therapeutic for established tumours showed significant delay in tumour growth and a prolongation of survival in all models. This study has proven that Reovirus is an effective therapeutic in a range of cancers and the successful use of a cell-based Reovirus vaccine leads the way for new advancements in cancer immunotherapy.

Working with a child Exposed to Community and Domestic violence in Northern Ireland: An Illustrated Case Example.

The focus of this paper is on the author’s multi-modal therapeutic practice with a 7-year-old boy referred to the Family Trauma Centre, following paramilitary assaults on his father. The work also addresses the boy’s experience of domestic violence. The work is contextualised in terms of the ‘Peace Process’ in Northern Ireland, including the establishment of the Family Trauma Centre as a response to the needs of victims of the Troubles. A rationale for working with children using a multi-modal approach is presented.

From Notation to Composition:How in my practice the exploration of notational possibilitieshas led to new compositional opportunities

This paper explores my experiments with computer animated notation. It examines how I turned to
computer animated notation to address issues with static musical notation. In particular looking at
the work of Nancarrow, Cage, Tenney, and how a number of these composers' approaches
presented difficult challenges for traditional musical notation. I then discuss how computer
animated notation can provide some interesting solutions to the notational problems provoked in
these works.
In the second part of the paper I investigate how addressing these notational challenges has led to
new prespectives on the compositional process and has introduced new considerations into my
compositional practice including time as musical material, real-time and multi-nodal interaction
with the score, networked score environments with the possibility of physically distributed
performance, performer feedback and communication, and interaction between notation and other
media including visual media and movement.

Novel Application of Genetic Sequencing algorithms to optimisation of hardware resource sharing for DSP

Field programmable gate array (FPGA) technology is a powerful platform for implementing computationally complex, digital signal processing (DSP) systems. Applications that are multi-modal, however, are designed for worse case conditions. In this paper, genetic sequencing techniques are applied to give a more sophisticated decomposition of the algorithmic variations, thus allowing an unified hardware architecture which gives a 10-25% area saving and 15% power saving for a digital radar receiver.

Laser-driven x-ray and neutron source development for industrial applications of plasma accelerators

Pulsed beams of energetic x-rays and neutrons from intense laser interactions with solid foils are promising for applications where bright, small emission area sources, capable of multi-modal delivery are ideal. Possible end users of laser-driven multi-modal sources are those requiring advanced non-destructive inspection techniques in industry sectors of high value commerce such as aerospace, nuclear and advanced manufacturing. We report on experimental work that demonstrates multi-modal operation of high power laser-solid interactions for neutron and x-ray beam generation. Measurements and Monte Carlo radiation transport simulations show that neutron yield is increased by a factor ∼2 when a 1 mm copper foil is placed behind a 2 mm lithium foil, compared to using a 2 cm block of lithium only. We explore x-ray generation with a 10 picosecond drive pulse in order to tailor the spectral content for radiography with medium density alloy metals. The impact of using >1 ps pulse duration on laser-accelerated electron beam generation and transport is discussed alongside the optimisation of subsequent bremsstrahlung emission in thin, high atomic number target foils. X-ray spectra are deconvolved from spectrometer measurements and simulation data generated using the GEANT4 Monte Carlo code. We also demonstrate the unique capability of laser-driven x-rays in being able to deliver single pulse high spatial resolution projection imaging of thick metallic objects. Active detector radiographic imaging of industrially relevant sample objects with a 10 ps drive pulse is presented for the first time, demonstrating that features of 200 μm size are resolved when projected at high magnification.

Automatic information and safety systems for driving assistance

O objeto principal desta tese é o estudo de algoritmos de processamento e representação automáticos de dados, em particular de informação obtida por sensores montados a bordo de veículos (2D e 3D), com aplicação em contexto de sistemas de apoio à condução. O trabalho foca alguns dos problemas que, quer os sistemas de condução automática (AD), quer os sistemas avançados de apoio à condução (ADAS), enfrentam hoje em dia. O documento é composto por duas partes. A primeira descreve o projeto, construção e desenvolvimento de três protótipos robóticos, incluindo pormenores associados aos sensores montados a bordo dos robôs, algoritmos e arquitecturas de software. Estes robôs foram utilizados como plataformas de ensaios para testar e validar as técnicas propostas. Para além disso, participaram em várias competições de condução autónoma tendo obtido muito bons resultados. A segunda parte deste documento apresenta vários algoritmos empregues na geração de representações intermédias de dados sensoriais. Estes podem ser utilizados para melhorar técnicas já existentes de reconhecimento de padrões, deteção ou navegação, e por este meio contribuir para futuras aplicações no âmbito dos AD ou ADAS. Dado que os veículos autónomos contêm uma grande quantidade de sensores de diferentes naturezas, representações intermédias são particularmente adequadas, pois podem lidar com problemas relacionados com as diversas naturezas dos dados (2D, 3D, fotométrica, etc.), com o carácter assíncrono dos dados (multiplos sensores a enviar dados a diferentes frequências), ou com o alinhamento dos dados (problemas de calibração, diferentes sensores a disponibilizar diferentes medições para um mesmo objeto). Neste âmbito, são propostas novas técnicas para a computação de uma representação multi-câmara multi-modal de transformação de perspectiva inversa, para a execução de correcção de côr entre imagens de forma a obter mosaicos de qualidade, ou para a geração de uma representação de cena baseada em primitivas poligonais, capaz de lidar com grandes quantidades de dados 3D e 2D, tendo inclusivamente a capacidade de refinar a representação à medida que novos dados sensoriais são recebidos.

‘A true feeling of authentic portuguese golf'? The discursive construction of the Algarve region in portuguese golf websites

In an increasingly competitive global marketplace, the need for golf destinations to differentiate themselves from competitors has become more critical than ever. This paper raises questions about the promotional strategies employed by the golf sector in the Algarve, focusing on internet communication strategies, since this medium has become the biggest driving force towards the commoditisation of all aspects of the tourism experience. By offering a complementary perspective to the field of (critical) tourism studies, and drawing on a qualitative, multi-modal discourse analysis, this work-in-progress looks at the particular ways that representations and images presented on the Algarve golf websites constitute and frame identities (of people and places) and socio-spatial relationships. This paper analyses a corpus of 45 texts collected from official websites of the 40 Algarve golf courses and from five entities which promote the Algarve as a golf destination, along with the golf images that are displayed alongside them. Findings point to salient discursive and visual representations of a global setting enjoyed by the global elite. Whereas the courses‟ positioning in relation to their regional competitors draws on similar discursive strategies which reflect those used in tourism advertising discourses in general – e.g. reiteration of explicit comparisons, superlatives and hyperbolic statements -, representations of local emplacedness are not salient; in some cases local place seems to have been almost intentionally suppressed.

Partial volume correction using bimodal contrast agents in PET-MRI

Tese de mestrado integrado em Engenharia Biomédica e Biofísica, apresentada à Universidade de Lisboa, através da Faculdade de Ciências, 2014

Evaluation of a treatment program for individuals with an intellectual disability who have high risk behaviours

In the past two decades numerous programs have emerged to treat individuals with developmental disabilities who have sexual offending behaviours. There has, however been very few studies that systematically examine the effectiveness of long term treatment with this population. The present research examines the therapeutic outcomes of a multi-modal behaviour approach with six individuals with intellectual disabilities previously charged with sexual assault. The participants also exhibited severe behavioural challenges that included verbal aggression, physical aggression, destruction and self-injury. These six participants (5 males, 1 female) were admitted to a Long Term Residential Treatment Program (LTRTP), due to the severity of their behaviours and due to their lack of treatment success in other programs. Individualized treatment plans focused on the reduction of maladaptive behaviours and the enhancing of skills such as positive coping strategies, socio-sexual knowledge, life skills, recreation and leisure skills. The treatment program also included psychiatric, psychological, medical, behavioural and educational interventions. The participants remained in the Long Term Residential Treatment Program (LTRTP) program from 181 to 932 days (average of 1.5 years). Pre and post treatment evaluations were conducted using the following tools: frequency of target behaviours, Psychopathology Inventory for Mentally Retarded Adults (PIMRA), Emotional Problems Scale (EPS), Socio-Sexual Knowledge and Attitudes Assessment Tool (SSKAAT-R) and Quality of Life Questionnaire (QOL-Q). Recidivism rates and the need for re-hospitalization were also noted for each participant. By offering high levels of individualized interventions, all six participants showed a 37 % rate of reduction in maladaptive behaviours with zero to low rates of inappropriate sexualbehaviour, there were no psychiatric hospitalizations, and there was no recidivism for 5 of 6 participants. In addition, medication was reduced. Mental health scores on the PIMRA were reduced across all participants by 25 % and scores on the Quality of Life Questionnaire increased for all participants by an average of 72 %. These findings add to and build upon the existing literature on long term treatment benefits for individuals with a intellectual disability who sexually offend. By utilizing an individualized and multimodal treatment approach to reduce severe behavioural challenges, not only can the maladaptive behaviours be reduced, but adaptive behaviours can be increased, mental health concerns can be managed, and overall quality of life can be improved.

Genetic programming for the RoboCup Rescue Simulation System

The Robocup Rescue Simulation System (RCRSS) is a dynamic system of multi-agent interaction, simulating a large-scale urban disaster scenario. Teams of rescue agents are charged with the tasks of minimizing civilian casualties and infrastructure damage while competing against limitations on time, communication, and awareness. This thesis provides the first known attempt of applying Genetic Programming (GP) to the development of behaviours necessary to perform well in the RCRSS. Specifically, this thesis studies the suitability of GP to evolve the operational behaviours required of each type of rescue agent in the RCRSS. The system developed is evaluated in terms of the consistency with which expected solutions are the target of convergence as well as by comparison to previous competition results. The results indicate that GP is capable of converging to some forms of expected behaviour, but that additional evolution in strategizing behaviours must be performed in order to become competitive. An enhancement to the standard GP algorithm is proposed which is shown to simplify the initial search space allowing evolution to occur much quicker. In addition, two forms of population are employed and compared in terms of their apparent effects on the evolution of control structures for intelligent rescue agents. The first is a single population in which each individual is comprised of three distinct trees for the respective control of three types of agents, the second is a set of three co-evolving subpopulations one for each type of agent. Multiple populations of cooperating individuals appear to achieve higher proficiencies in training, but testing on unseen instances raises the issue of overfitting.

Improving sampling, optimization and feature extraction in Boltzmann machines

L’apprentissage supervisé de réseaux hiérarchiques à grande échelle connaît présentement un succès fulgurant. Malgré cette effervescence, l’apprentissage non-supervisé représente toujours, selon plusieurs chercheurs, un élément clé de l’Intelligence Artificielle, où les agents doivent apprendre à partir d’un nombre potentiellement limité de données. Cette thèse s’inscrit dans cette pensée et aborde divers sujets de recherche liés au problème d’estimation de densité par l’entremise des machines de Boltzmann (BM), modèles graphiques probabilistes au coeur de l’apprentissage profond. Nos contributions touchent les domaines de l’échantillonnage, l’estimation de fonctions de partition, l’optimisation ainsi que l’apprentissage de représentations invariantes. Cette thèse débute par l’exposition d’un nouvel algorithme d'échantillonnage adaptatif, qui ajuste (de fa ̧con automatique) la température des chaînes de Markov sous simulation, afin de maintenir une vitesse de convergence élevée tout au long de l’apprentissage. Lorsqu’utilisé dans le contexte de l’apprentissage par maximum de vraisemblance stochastique (SML), notre algorithme engendre une robustesse accrue face à la sélection du taux d’apprentissage, ainsi qu’une meilleure vitesse de convergence. Nos résultats sont présent ́es dans le domaine des BMs, mais la méthode est générale et applicable à l’apprentissage de tout modèle probabiliste exploitant l’échantillonnage par chaînes de Markov. Tandis que le gradient du maximum de vraisemblance peut-être approximé par échantillonnage, l’évaluation de la log-vraisemblance nécessite un estimé de la fonction de partition. Contrairement aux approches traditionnelles qui considèrent un modèle donné comme une boîte noire, nous proposons plutôt d’exploiter la dynamique de l’apprentissage en estimant les changements successifs de log-partition encourus à chaque mise à jour des paramètres. Le problème d’estimation est reformulé comme un problème d’inférence similaire au filtre de Kalman, mais sur un graphe bi-dimensionnel, où les dimensions correspondent aux axes du temps et au paramètre de température. Sur le thème de l’optimisation, nous présentons également un algorithme permettant d’appliquer, de manière efficace, le gradient naturel à des machines de Boltzmann comportant des milliers d’unités. Jusqu’à présent, son adoption était limitée par son haut coût computationel ainsi que sa demande en mémoire. Notre algorithme, Metric-Free Natural Gradient (MFNG), permet d’éviter le calcul explicite de la matrice d’information de Fisher (et son inverse) en exploitant un solveur linéaire combiné à un produit matrice-vecteur efficace. L’algorithme est prometteur: en terme du nombre d’évaluations de fonctions, MFNG converge plus rapidement que SML. Son implémentation demeure malheureusement inefficace en temps de calcul. Ces travaux explorent également les mécanismes sous-jacents à l’apprentissage de représentations invariantes. À cette fin, nous utilisons la famille de machines de Boltzmann restreintes “spike & slab” (ssRBM), que nous modifions afin de pouvoir modéliser des distributions binaires et parcimonieuses. Les variables latentes binaires de la ssRBM peuvent être rendues invariantes à un sous-espace vectoriel, en associant à chacune d’elles, un vecteur de variables latentes continues (dénommées “slabs”). Ceci se traduit par une invariance accrue au niveau de la représentation et un meilleur taux de classification lorsque peu de données étiquetées sont disponibles. Nous terminons cette thèse sur un sujet ambitieux: l’apprentissage de représentations pouvant séparer les facteurs de variations présents dans le signal d’entrée. Nous proposons une solution à base de ssRBM bilinéaire (avec deux groupes de facteurs latents) et formulons le problème comme l’un de “pooling” dans des sous-espaces vectoriels complémentaires.

Efectividad del tratamiento farmacológico de la agresividad en pacientes con trastorno límite de la personalidad. Revisión sistemática

Introducción: el Trastorno Límite de la Personalidad afecta del 2% al 6% de los adultos en Estados Unidos. Es una condición de alta relevancia dentro de las patologías psiquiátricas debido a características como impulsividad, inestabilidad en las relaciones interpersonales, disregulación en el estado de ánimo y comportamiento agresivo. Esto determina un impacto negativo en la funcionalidad del individuo siendo la agresividad contra sí mismo o contra otras personas uno de sus componentes claves. Métodos: Revisión sistemática de la literatura de artículos de bases de datos y búsqueda manual de revistas relacionadas que aportaran la mejor evidencia con el fin de encontrar estudios que evaluaran, con instrumentos objetivos, los tratamientos farmacológicos disponibles para el manejo de la agresividad en el TLP .Se evaluó calidad metodológica y los estudios se organizaron en tablas de evidencia. Resultados: La búsqueda arrojo 1081 artículos de los cuales se seleccionaron 52 como potenciales y cinco fueron incluidos en esta revisión. Se clasificaron como nivel de evidencia Ib. El topiramato, el aripiprazol, el divalproato y la fluoxetina mostraron mejores resultados que el placebo especialmente en agresividad e impulsividad. El topiramato fue asociado con pérdida de peso. Los medicamentos fueron seguros y bien tolerados. Discusión: Los medicamentos evaluados mostraron ser mejores que placebo. La diversidad en las escalas utilizadas genera complejidad en la interpretación de resultados. Conclusión: La evidencia sugiere que el tratamiento farmacológico es efectivo en síntomas como agresividad e impulsividad comparado con placebo. Deben considerarse estudios que evalúen combinaciones de fármacos y psicoterapia.

La estrategia de liderazgo regional de la India a través de la cooperación sur-sur (2003-2012)

La presente investigación tiene como objetivo analizar en qué medida la estrategia de liderazgo regional de la India ha sido impulsada a través de los programas y proyectos de cooperación sur-sur ofrecidos por este país en el periodo de 2003-2012. De igual forma se pretende indagar sobre el papel histórico que ha jugado la India en el establecimiento y posterior evolución de esta nueva forma de cooperación que ha sido vista por la mayoría de los académicos como un complemento de la cooperación norte-sur, y que responde a una serie de intereses particulares. En este caso en particular, la cooperación sur-sur ha sido utilizada por India como una herramienta para incrementar sus capacidades de poder que le permitan consolidarse como líder regional.

Evaluación de la validez de la escala llanto para el dolor en neonatos y menores de cinco años

Introducción: La escala LLANTO para dolor es una escala que hasta la fecha ha sido solo validada en población infantil española, actualmente no se conocen datos en población colombiana. Se pretende validar la escala de dolor LLANTO en pacientes neonatos y menores de 5 años, a través de su aplicación en pacientes atendidos en una de tres instituciones, además comparándola con las escalas FLACC y PIPP dependiendo de edad del paciente. Metodología: Se incluyeron niños con cualquier tipo de dolor, clasificándolos en dos grupos por edad: 1) neonatos y 2) niños entre 1 mes y 5 años de edad, que asistieron a la Fundación Cardioinfantil, Clínica Infantil Colsubsidio o al Hospital Universitario Mayor. Las escalas fueron aplicadas por dos residentes de pediatría y una enfermera especializada en el cuidado de población infantil. Para la prueba piloto se diseñó un cuestionario determinar dificultades en la aplicación de la escala LLANTO. Una vez corregidos los problemas identificados se procederá a la validación de la escala. Resultados: Se presentan los datos de la prueba piloto. Se incluyeron 8 neonatos y 8 niños entre 1 mes y 5 años, esta muestra fue obtenida en un periodo de un mes, con la encuesta se evaluó la aceptación y entendimiento de la escala LLANTO por parte de los evaluadores. La prueba piloto mostró resultados favorables en el 100% de los encuestados. Discusión: Se considera que la escala LLANTO no requiere cambios para continuar con su validación.

Experimental method for teaching specific language structures to hearing-impaired children

This paper presents an experimental Receptive-Expressive Multi-Modal Learning Program of Patterned Language Practice for hearing-impaired children.