Phage therapy: A software system for phage quantification and kinetic model inference.

One of the most serious problems of the modern medicine is the growing emergence of antibiotic resistance among pathogenic bacteria. In this circumstance, different and innovative approaches for treating infections caused by multidrug-resistant bacteria are imperatively required. Bacteriophage Therapy is one among the fascinating approaches to be taken into account. This consists of the use of bacteriophages, viruses that infect bacteria, in order to defeat specific bacterial pathogens. Phage therapy is not an innovative idea, indeed, it was widely used around the world in the 1930s and 1940s, in order to treat various infection diseases, and it is still used in Eastern Europe and the former Soviet Union. Nevertheless, Western scientists mostly lost interest in further use and study of phage therapy and abandoned it after the discovery and the spread of antibiotics. The advancement of scientific knowledge of the last years, together with the encouraging results from recent animal studies using phages to treat bacterial infections, and above all the urgent need for novel and effective antimicrobials, have given a prompt for additional rigorous researches in this field. In particular, in the laboratory of synthetic biology of the department of Life Sciences at the University of Warwick, a novel approach was adopted, starting from the original concept of phage therapy, in order to study a concrete alternative to antibiotics. The innovative idea of the project consists in the development of experimental methodologies, which allow to engineer a programmable synthetic phage system using a combination of directed evolution, automation and microfluidics. The main aim is to make “the therapeutics of tomorrow individualized, specific, and self-regulated” (Jaramillo, 2015). In this context, one of the most important key points is the Bacteriophage Quantification. Therefore, in this research work, a mathematical model describing complex dynamics occurring in biological systems involving continuous growth of bacteriophages, modulated by the performance of the host organisms, was implemented as algorithms into a working software using MATLAB. The developed program is able to predict different unknown concentrations of phages much faster than the classical overnight Plaque Assay. What is more, it gives a meaning and an explanation to the obtained data, making inference about the parameter set of the model, that are representative of the bacteriophage-host interaction.

Self-identification of problems in the process of listening to English in pre-service interpreters

Questa tesi ha come oggetto di studio i problemi riscontrati nelle trascrizioni di testi orali in lingua inglese prodotte da 39 studenti della laurea magistrale in Interpretazione. Nel Capitolo 1 viene presentato l’ascolto, che viene definito prima da un punto di vista storico, poi analizzato come processo composto da quattro fasi, come sostiene Michael Rost (2011). Il capitolo si conclude con l’ascolto nell’ambito dell’interpretazione. Nel Capitolo 2 viene analizzato in maniera contrastiva l’apprendimento dell’ascolto nella prima e nella seconda lingua. I primi due capitoli forniscono le basi per comprendere il caso di studio. Il Capitolo 3 concerne la metodologia dello studio. Vengono presentati il metodo di analisi delle trascrizioni, la categorizzazione dei problemi riscontrati e il processo di creazione del sistema di analisi utilizzato. Nel Capitolo 4 vengono presentati i dati ottenuti seguendo il metodo esposto nel Capitolo 3. Si presentano i problemi riscontrati, che vengono suddivisi in categorie in base a ciò che può averli causati. Il Capitolo 5 è dedicato alle conclusioni. Qui vengono suggerite possibili strategie mirate ad aiutare gli studenti di Interpretazione a migliorare le proprie capacità di ascolto in lingua inglese. Esta tesis quiere analizar los problemas encontrados en transcripciones de textos orales en inglés hechas por 39 estudiantes del máster en Interpretación. En el Capítulo 1 se presenta la escucha, que se define primero desde una perspectiva histórica, y luego como un proceso formado por cuatro fases, como argumenta Michael Rost (2011). El capítulo se cierra con la escucha en el ámbito de la interpretación. En el Capítulo 2 se analizan de forma contrastiva el aprendizaje de la escucha en la primera y segunda lengua. Los primeros dos capítulos constituyen la base para comprender el caso de estudio. El Capítulo 3 atañe a la metodología del estudio. Se presentan el método de análisis de las transcripciones, la categorización de los problemas encontrados y el proceso de creación del sistema de análisis que se ha empleado. En el Capítulo 4 se proporcionan los datos obtenidos gracias al método presentado en el Capítulo 3. Se presentan los problemas encontrados, que han sido divididos en categorías según qué puede haberlos ocasionado. El Capítulo 5 está dedicado a las conclusiones. Aquí se sugieren posibles estrategias cuyo objetivo es ayudar a los estudiantes de Interpretación a mejorar sus capacidades de escucha en inglés.