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La relación entre la Inteligencia Artificial y los videojuegos es muy estrecha. Por un lado, la IA puede usar los videojuegos como un campo de entrenamiento, y por otro, los videojuegos pueden implementar diversas técnicas de IA para generar comportamientos y contenido innovador. En este proyecto, se está trabajando en el desarrollo de un Agente Inteligente utilizando técnicas de aprendizaje por refuerzo, con el objetivo de que pueda desenvolverse en diferentes escenarios del videojuego Kart Gaming. Asimismo, el proyecto se enfoca en la creación de nuevos escenarios jugables para el mismo juego., The relationship between Artificial Intelligence and video games is very close. On the one hand, AI can use video games as a training ground, and on the other hand, video games can implement various AI techniques to generate innovative behaviour and content. In this project, we are working on the development of an Intelligent Agent using reinforcement learning techniques, so that it can perform in different scenarios of the video game Kart Gaming. The project also focuses on the creation of new playable scenarios for the same game.

Muscular hernias are an uncommon condition that typically present as subcutaneous nodules on the legs that appear or enlarge while standing or exercising. They are usually asymptomatic, although they may sometimes be tender or painful and may cause cramps, especially in athletes. Physical examination and ultrasound imaging are the key for determining the diagnosis. We present a 67-year-old woman with tender subcutaneous nodules on both lower legs in which dynamic ultrasound examination confirmed the diagnosis of muscular hernias.

Uno de los problemas más importantes que enfrenta la humanidad en la actualidad es el cambio climático, el cual tiene graves efectos en el ecosistema en todo el mundo. Las empresas tienen un impacto significativo en la utilización de recursos naturales y la generación de residuos en este contexto a través de sus actividades. Es crucial que las empresas implementen prácticas respetuosas con el medio ambiente en sus cadenas de suministro para abordar este problema y avanzar hacia un futuro más sostenible. En este escenario, contar con un software de gestión de cadena de suministro que permita documentar el impacto ambiental es primordial. La presente Tesis tiene como objetivo principal el diseño e implementación de este software, Examinamos los componentes que deben estar presentes para su creación, las características fundamentales que debe tener y las formas en que puede ayudar a las empresas a mejorar su desempeño ambiental. A través de la evaluación, supervisión y gestión del comportamiento ambiental en toda la cadena de suministro, el programa promete ayudar a las empresas a fomentar la sostenibilidad. Además, se concibe como una solución rentable para empresas de todos los tamaños que puede adaptarse a sus requisitos. Los objetivos específicos de este proyecto incluyen examinar los procedimientos de gestión de la cadena de suministro, detectar los efectos ambientales en cada nivel, establecer un módulo de informes para un análisis exhaustivo de la sostenibilidad ambiental y proporcionar una interfaz intuitiva para la supervisión en tiempo real. En conclusión, el objetivo de nuestro esfuerzo es proporcionar a las empresas una herramienta útil para operar de manera más sostenible y consciente del medio ambiente, contribuyendo a la lucha contra el cambio climático y la preservación de nuestro mundo., One of the most significant challenges facing humanity today is climate change, which has severe effects on the global ecosystem. Businesses have a substantial impact on the utilization of natural resources and waste generation in this context through their activities. It is crucial for companies to implement environmentally friendly practices within their supply chains to address this issue and move toward a more sustainable future. In this scenario, having supply chain management software that allows for the documentation of environmental impact is paramount. This Thesis has the primary objective of designing and implementing this software. We examine the components that must be present for its creation, the fundamental features it must have, and how it can assist companies in enhancing their environmental performance. Through the evaluation, monitoring, and management of environmental behavior throughout the supply chain, the program promises to help companies promote sustainability. Additionally, it is conceived as a cost-effective solution for businesses of all sizes that can be tailored to their requirements. The specific objectives of this project include examining supply chain management procedures, identifying environmental effects at each level, establishing a reporting module for comprehensive environmental sustainability analysis, and providing an intuitive interface for real-time monitoring. In conclusion, the goal of our effort is to provide companies with a valuable tool to operate in a more environmentally sustainable and environmentally conscious manner, contributing to the fight against climate change and the preservation of our world.

En este trabajo de fin de máster (TFM), se presenta una aplicación móvil para el cuidado de mascotas que permitirá a los dueños mantenerse al día sobre la salud de su mascota, teniendo recordatorios de sus vacunas, citas, etc. La aplicación ofrece una variedad de funcionalidades que ayudarán a los dueños a proporcionar a sus mascotas la mejor atención posible y tener a disposición contacto con su veterinario.

Data shift is a phenomenon present in many real-world applications, and while there are multiple methods attempting to detect shifts, the task of localizing and correcting the features originating such shifts has not been studied in depth. Feature shifts can occur in many datasets, including in multi-sensor data, where some sensors are malfunctioning, or in tabular and structured data, including biomedical, financial, and survey data, where faulty standardization and data processing pipelines can lead to erroneous features. In this work, we explore using the principles of adversarial learning, where the information from several discriminators trained to distinguish between two distributions is used to both detect the corrupted features and fix them in order to remove the distribution shift between datasets. We show that mainstream supervised classifiers, such as random forest or gradient boosting trees, combined with simple iterative heuristics, can localize and correct feature shifts, outperforming current statistical and neural network-based techniques. The code is available at https://github.com/AI-sandbox/DataFix.

After experiencing an acute coronary syndrome (ACS), patients are at a high risk of suffering from recurrent ischaemic cardiovascular events, especially in the very early phase. Low density lipoprotein-cholesterol (LDL-C) is causally involved in atherosclerosis and a clear, monotonic relationship between pharmacologic LDL-C lowering and a reduction in cardiovascular events post-ACS has been shown, a concept termed 'the lower, the better'. Current ESC guidelines suggest an LDL-C guided, step-wise initiation and escalation of lipid-lowering therapy (LLT). Observational studies consistently show low rates of guideline-recommended LLT adaptions and concomitant low rates of LDL-C target goal achievement, leaving patients at residual risk, especially in the vulnerable post-ACS phase. In addition to the well-established 'the lower, the better' approach, a 'strike early and strike strong' approach in the early post-ACS phase with upfront initiation of a combined lipid-lowering approach using high-intensity statins and ezetimibe seems reasonable. We discuss the rationale, clinical trial evidence and experience for such an approach and highlight existing knowledge gaps. In addition, the concept of acute initiation of PCSK9 inhibition in the early phase is reviewed. Ultimately, we focus on hurdles and solutions to provide high-quality, evidence-based follow-up care in post-ACS patients.

After experiencing an acute coronary syndrome (ACS), patients are at a high risk of suffering from recurrent ischaemic cardiovascular events, especially in the very early phase. Low density lipoprotein-cholesterol (LDL-C) is causally involved in atherosclerosis and a clear, monotonic relationship between pharmacologic LDL-C lowering and a reduction in cardiovascular events post-ACS has been shown, a concept termed 'the lower, the better'. Current ESC guidelines suggest an LDL-C guided, step-wise initiation and escalation of lipid-lowering therapy (LLT). Observational studies consistently show low rates of guideline-recommended LLT adaptions and concomitant low rates of LDL-C target goal achievement, leaving patients at residual risk, especially in the vulnerable post-ACS phase. In addition to the well-established 'the lower, the better' approach, a 'strike early and strike strong' approach in the early post-ACS phase with upfront initiation of a combined lipid-lowering approach using high-intensity statins and ezetimibe seems reasonable. We discuss the rationale, clinical trial evidence and experience for such an approach and highlight existing knowledge gaps. In addition, the concept of acute initiation of PCSK9 inhibition in the early phase is reviewed. Ultimately, we focus on hurdles and solutions to provide high-quality, evidence-based follow-up care in post-ACS patients.

El Machine Learning (o ML) es una de las ramas principales de la ingeniería basada en un aprendizaje automático donde las máquinas aprenden a detectar patrones en los datos para hacer predicciones. El ML es una de las tecnologías más novedosas y prometedoras actualmente, pero a su vez existen aún muchas incógnitas que resolver para llevar esta tecnología a su máximo exponente. En este proyecto se pretende integrar modelos de machine learning en una aplicación donde se nos permita detectar y clasificar la personalidad humana en función de mensajes de texto escritos por los propios usuarios. A su vez se realizará un estudio comparativo del efecto que puede llegar a tener el despliegue de dicha aplicación en una plataforma u otra, evaluando factores como el rendimiento o la escalabilidad., Machine Learning (or ML) is one of the main branches of engineering based on machine learning where machines learn to detect patterns in data to make predictions. ML is one of the newest and most promising technologies at present, but at the same time there are still many unknowns to be solved in order to take this technology to its maximum exponent. This project aims to integrate machine learning models in an application that allows us to detect and classify human personality based on text messages written by the users themselves. At the same time, a comparative study will be carried out on the effect that the deployment of this application on one platform or another may have, evaluating factors such as performance and scalability.

Aquesta tesi està centrada en la creació i optimització de Microserveis. Hi ha 4 temes principals tractats en aquest projecte. El primer tema és teòric i tracta d'entendre les diferències entre les arquitectures monolítices i de microserveis. Els altres 3 necessiten implementació per aconseguir-ho. Aquests temes són la independència dels microserveis, la fiabilitat dels microserveis i l'escalabilitat dels microserveis. Aquests passos són necessaris per implementar un microservei (MS) ideal.

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El objetivo de este trabajo final de máster es responder a la pregunta de hasta qué punto los datos abiertos pueden contribuir a la movilidad inteligente en Barcelona de forma que sea más eficiente y qué hay que hacer para ello. Se plantea la siguiente pregunta de investigación ¿En qué medida los datos abiertos tienen el potencial de hacer más eficiente la movilidad inteligente en Barcelona? Para responder a la pregunta de investigación, se han realizado entrevistas semiestructuradas con expertos en el campo de los datos abiertos y la movilidad inteligente, así como con un responsable de la administración de la ciudad. Los resultados muestran que la calidad, la actualidad y la disponibilidad de los datos, así como la digitalización de las infraestructuras, las colaboraciones con entidades privadas y públicas, y con los ciudadanos en forma de crowdsensing pueden ayudar a superar los obstáculos existentes en el ámbito de la movilidad inteligente. El futuro traerá consigo APIs abiertas, a través de las cuales los ciudadanos y especialmente los vehículos de transporte podrán interactuar con la infraestructura existente en la ciudad en tiempo real. Esto demuestra que la administración de la ciudad necesita encontrar formas de asegurar la calidad, la puntualidad y la disponibilidad de los datos, así como la capacidad técnica para procesar las cantidades de datos para encontrar una nueva forma de digitalizar sus activos ("codificar la acera") para superar los próximos desafíos en el campo siempre cambiante de la movilidad urbana.

El sentiment analysis és una tècnica de machine learning utilitzada per a classificar el grau de sentiment d'un text. Existeix des de la més simple classificació d'un missatge segons si expressa un sentiment positiu o negatiu, fins a la més complexa que és capaç de classificar en diferents emocions. És una tècnica que cada vegada és més utilitzada en moltes empreses i sectors, per veure la reacció de la població davant d'un nou producte o servei i reaccionar segons el que el client demana. En aquest projecte, s'aplicarà el sentiment analysis per a la classificació de missatges en xarxes socials, una tècnica molt freqüent, ja que és on la població és més expressiva, relacionats amb la Covid-19 i la pandèmia que estem vivint. L'objectiu és realitzar un estudi per veure la tendència emotiva de la població en aquest context., Sentiment analysis is a machine learning technique used to classify the level of sentiment from a text. It could be from the simplest classification of a message according to whether it expresses a positive or negative feeling, to the most complex that it is able to classify text into different emotions. It is a common technique that is used more and more in many companies and sectors, to see people's reaction in front of a new product or service and react to the predictions to offer what the client wants. In this project, sentiment analysis will be applied for the classification of messages on social networks, a very common technique as it is where people express more their feelings without filters, related to Covid-19 and the pandemic we are living in. The aim is to conduct a study to see the emotional tendency of the population in this context.

Este proyecto se centra en la evaluación de la precisión de tres implementaciones distintas para un sistema de posicionamiento en interiores (IPS) que utiliza tecnología Bluetooth Low Energy (BLE). Cada una de las tres implementaciones se diferencian en la técnica utilizada para realizar el posicionamiento. Estas técnicas son: el modelo Path Loss Model (PLM) y los algoritmos de aprendizaje automático Support Vector Regressor (SVR) y Multi-Layer Perceptron (MLP). Para conseguir una mayor generalización de los resultados los experimentos se han realizado en dos escenarios distintos: una habitación y una aula. Finalmente, se ha implementado una aplicación que utiliza la técnica seleccionada y que realiza el posicionamiento a tiempo real de un teléfono móvil., This project is focused on the evaluation of the accuracy of three different implementations for an indoor positioning system (IPS) which uses Bluetooth Low Energy (BLE) technology. Each of the three implementations differs on the technology used to perform the positioning. These techniques are the Path Loss Model (PLM) and the Support Vector Regressor (SVR) and Multi-Layer Perceptron (MLP) machine learning algorithms. To achieve a greater generalization of the results, the experiments have been performed in two different scenarios: a room and a classroom. Finally, an application which uses the selected technique and performs the real-time location of a smartphone has been implemented., Aquest projecte se centra en l’evaluació de la precisió de tres implementacions diferents per un sistema de posicionament en interiors (IPS) que utilitza tecnologia Bluetooth Low Energy (BLE). Cadascuna de les tres implementacions es diferencien en la tècnica utilitzada per a realitzar el posicionament. Aquestes tècniques són: el model Path Loss Model (PLM) i els algorismes d’aprenentatge automàtic Support Vector Regressor (SVR) i Multi-Layer Perceptron (MLP). Per aconseguir una major generalització dels resultats els experiments s’han realitzat en dos escenaris diferents: una habitació y una aula. Finalment, s’ha implementat una aplicació que utilitza la tècnica seleccionada i que realitza el posicionament a temps real d’un telèfon mòbil.

La informàtica està present en tot arreu. Amb la creixent necessitat d'implementar solucions a problemes eficients i automàtiques d'una manera distribuïda, o d'oferir productes a clients neix l'IoT, on els dispositius estan connectats constantment a internet. Dins dels productes que es poden oferir dins de l'IoT, neixen productes que poden oferir solucions a problemes d'una manera totalment distribuïda, intentant no haver de centralitzar el processament de les dades generades per aquests dispositius d'IoT. Neix així l'Edge Computing, on s'intenten processar les dades a prop d'allà on són generades en comptes d'enviar-les a un lloc per processar-les d'una manera centralitzada. Amb el creixent augment de l'ús de la IA, sorgeixen noves aplicacions com, per exemple, la visió per computador, on de manera automàtica "s'ensenya "al computador a saber què hi ha a una imatge. La investigació en aquest camp millora els models per predir els objectes tant en precisió, com en velocitat de processament. Neix així YOLO, un model capaç de fer prediccions en temps real (depenent, però, del hardware). Però, què passa si volem dur aplicacions de IA a l'Edge? Neix així l'edge intelligence, disciplina a on el processament de vídeo té molt a dir. Busca millorar els temps de resposta principalment, però no tot és tan fàcil: a l'edge, possiblement, és difícil estar connectats a la corrent i molt probablement s'ha de funcionar amb bateries. Les possibles aplicacions d'això són realment punteres: smart cities, per exemple. Tot i que, molt probablement, les millors aplicacions de l'edge intelligence encara no han sigut descobertes. Neix aquí la necessitat d'aquest treball de final de grau. En aquest treball, es simula un entorn edge d'un node que obté imatges a través d'una càmera i les ha de processar. No només això, sinó que aquest node ha d'intentar aprofitar al màxim l'energia de la que disposa, i, per tant, processar amb més o menys recursos en funció de l'estat de càrrega de la bateria, Computers are everywhere. With the increase in the need of offering efficient and automatic solutions to problems in a distributed maneer, or just to offer products to clients, IoT becomes a truth, where devices are always connected to internet. In IoT, there are totally distributed solutions to avoid a central processing of data generated by those devices. Edge computing becomes a reality, where data is processed near where it is generated, instead of getting processed in a centralised manneer. New AI applications such as computer vision, where the computer gets taught how to recognize objects in an image, become a reality with the increase in usage of AI. Research focused on that helps improving precision and speed processing when recognising, giving life to YOLO, a model capable of making real time predictions depending on the hardware used. What if we want to execute AI applications in the edge? This is called Edge Intelligence, where video processing is an important topic. Edge intelligence tries to inmprove response times mainly, but not everything is that easy: in the edge, there is the need of using batteries as continous power may not be available. Applications of edge intelligence are really interesting, for example, smart cities. However, the most impressive edge intelligence applications will be discovered in the future. In this scenario, the need of this Bachelor's thesis becomes a reality. In this thesis, an edge environment is simulated with one node has to obtain images using the camera and process them. This node also has to be as most efficient as possible when using the battery resulting in using more or less resources based on the current battery. In this Bachelor's thesis, we achieve executing YOLO models in a limited hardware. Then, the model behaviour is analysed so, later on, we can offer a solution where the application recognises objects as well as uses the battery trying to make it last longer. Even when the project has had some limitation

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El presente trabajo de fin de máster tiene como objetivo la implementación de un Cuadro de Mando Integral para una empresa textil, a partir del uso de un fichero que contiene las ventas de los productos, el cual es generado de forma diaria por cada punto de venta. La empresa posee varios tipos de marcas de ropa. El proyecto hará referencia solo a la marca, la cual, se dedica a la comercialización de productos de ropa interior dentro de los centros comerciales de El Corte Inglés. Esta solución se encuentra alineada con el direccionamiento estratégico que maneja la empresa, haciendo que sea una herramienta precisa para el análisis de información y la toma de decisiones para lograr mejores resultados. Dentro de los beneficios a tomar en cuenta que aporta esta solución son: El aumento de la eficacia, la generación de ventajas competitivas y la adaptación a grandes cambios en el entorno, debido al mejoramiento de su desempeño en temas de seguimiento y control de inventarios, contribuir a la comunicación, motivación e incentivo entre los distintos actores que conforman la empresa, entre otros.

Introduction and objectives: The presence of comorbidities in elderly patients with non-ST-segment elevation acute coronary syndrome worsens its prognosis. The objective of the study was to analyze the impact of the burden of comorbidities in the decision of using invasive management in these patients. Methods: A total of 7211 patients > 70 years old from 11 Spanish registries were included. Individual data were analyzed in a common database. We assessed the presence of 6 comorbidities and their association with coronary angiography during admission. Results: The mean age was 79 ± 6 years and the mean CRACE score was 150 ± 21 points. A total of 1179 patients (16%) were treated conservatively. The presence of each comorbidity was associated with less invasive management (adjusted for predictive clinical variables): Cerebrovascular disease (OR, 0.78; 95%CI, 0.64-0.95; P = .01), anemia (OR, 0.64; 95%CI, 0.54-0.76; P < .0001), chronic kidney disease (OR, 0.65; 95%CI, 0.56-0.75; P < .0001), peripheral arterial disease (OR, 0.79; 95%CI, 0.65-0.96; P = .02), chronic lung disease (OR, 0.85; IC95%, 0.71-0.99; P = .05), and diabetes mellitus (OR, 0.85; 95%CI, 0.74-0.98; P < .03). The increase in the number of comorbidities (comorbidity burden) was associated with a reduction in coronary angiographies after adjusting for the GRACE score: 1 comorbidity (OR, 0.66; 95%CI, 0.54-0.81), 2 comorbidities (OR, 0.55; 95%CI, 0.45-0.69), 3 comorbidities (OR, 0.37; 95%CI, 0.29-0.47), 4 comorbidities (OR, 0.33; 95%CI, 0.24-0.45), ? 5 comorbidities (OR, 0.21; 95%CI, 0.12-0.36); all P values < .0001 compared to 0. Conclusions: The number of coronary angiographies performed drops as the number of comorbidities increases in elderly patients with non-ST-segment elevation acute coronary syndrome. Mor

[EN] In this Master Thesis, the synthesis and isolation of atomically designed silver clusters have been made. The clusters have been prepared with a controlled number of metallic atoms, in particular Ag clusters with 7,25 and 32 atoms of silver have been synthesized. In addition, bimetallic nanoclusters containing 25 atoms of Ag and Au have been also pr epared. The nanoclusters have been characterized by different techniques and some of them have been supported on an inorganic material (ITQ - 2 zeolite) in order to test their activity for the oxidation of an air pollutant as it is CO. It has been shown that the supported nanoclusters are active catalyst for this reaction and their activity can be related with the type of nanocluster prepared., [ES] En est e trabajo final de máster , se ha n realizado la síntesis y el aislamiento de grupos de plata de diseño atómico. Los clusters se han preparado con un número controlado de átomos metálicos, en particular se han sintetizado agrupaciones de Ag con 7,25 y 32 átomos de plata. Además, también se prepararon nanoclusters bimetálicos que contienen 25 átomos de Ag y Au. Los nanoclusters se han caracterizado por diferentes técnicas y algunos de ellos han sido soportados en un material inorgánico (zeo lita ITQ - 2) para probar su actividad para la oxidación de un contaminante del aire como es el CO. Se ha demostrado que los nanoclusters soportados son catalizadores activos para esta reacción y su actividad puede relacionarse con el tipo de nanocluster pre parado.

[EN] In this Master Thesis, the synthesis and isolation of atomically designed silver clusters have been made. The clusters have been prepared with a controlled number of metallic atoms, in particular Ag clusters with 7,25 and 32 atoms of silver have been synthesized. In addition, bimetallic nanoclusters containing 25 atoms of Ag and Au have been also pr epared. The nanoclusters have been characterized by different techniques and some of them have been supported on an inorganic material (ITQ - 2 zeolite) in order to test their activity for the oxidation of an air pollutant as it is CO. It has been shown that the supported nanoclusters are active catalyst for this reaction and their activity can be related with the type of nanocluster prepared., [ES] En est e trabajo final de máster , se ha n realizado la síntesis y el aislamiento de grupos de plata de diseño atómico. Los clusters se han preparado con un número controlado de átomos metálicos, en particular se han sintetizado agrupaciones de Ag con 7,25 y 32 átomos de plata. Además, también se prepararon nanoclusters bimetálicos que contienen 25 átomos de Ag y Au. Los nanoclusters se han caracterizado por diferentes técnicas y algunos de ellos han sido soportados en un material inorgánico (zeo lita ITQ - 2) para probar su actividad para la oxidación de un contaminante del aire como es el CO. Se ha demostrado que los nanoclusters soportados son catalizadores activos para esta reacción y su actividad puede relacionarse con el tipo de nanocluster pre parado.

[EN] In this Master Thesis, the synthesis and isolation of atomically designed silver clusters have been made. The clusters have been prepared with a controlled number of metallic atoms, in particular Ag clusters with 7,25 and 32 atoms of silver have been synthesized. In addition, bimetallic nanoclusters containing 25 atoms of Ag and Au have been also pr epared. The nanoclusters have been characterized by different techniques and some of them have been supported on an inorganic material (ITQ - 2 zeolite) in order to test their activity for the oxidation of an air pollutant as it is CO. It has been shown that the supported nanoclusters are active catalyst for this reaction and their activity can be related with the type of nanocluster prepared., [ES] En est e trabajo final de máster , se ha n realizado la síntesis y el aislamiento de grupos de plata de diseño atómico. Los clusters se han preparado con un número controlado de átomos metálicos, en particular se han sintetizado agrupaciones de Ag con 7,25 y 32 átomos de plata. Además, también se prepararon nanoclusters bimetálicos que contienen 25 átomos de Ag y Au. Los nanoclusters se han caracterizado por diferentes técnicas y algunos de ellos han sido soportados en un material inorgánico (zeo lita ITQ - 2) para probar su actividad para la oxidación de un contaminante del aire como es el CO. Se ha demostrado que los nanoclusters soportados son catalizadores activos para esta reacción y su actividad puede relacionarse con el tipo de nanocluster pre parado.

[EN] In this Master Thesis, the synthesis and isolation of atomically designed silver clusters have been made. The clusters have been prepared with a controlled number of metallic atoms, in particular Ag clusters with 7,25 and 32 atoms of silver have been synthesized. In addition, bimetallic nanoclusters containing 25 atoms of Ag and Au have been also pr epared. The nanoclusters have been characterized by different techniques and some of them have been supported on an inorganic material (ITQ - 2 zeolite) in order to test their activity for the oxidation of an air pollutant as it is CO. It has been shown that the supported nanoclusters are active catalyst for this reaction and their activity can be related with the type of nanocluster prepared., [ES] En est e trabajo final de máster , se ha n realizado la síntesis y el aislamiento de grupos de plata de diseño atómico. Los clusters se han preparado con un número controlado de átomos metálicos, en particular se han sintetizado agrupaciones de Ag con 7,25 y 32 átomos de plata. Además, también se prepararon nanoclusters bimetálicos que contienen 25 átomos de Ag y Au. Los nanoclusters se han caracterizado por diferentes técnicas y algunos de ellos han sido soportados en un material inorgánico (zeo lita ITQ - 2) para probar su actividad para la oxidación de un contaminante del aire como es el CO. Se ha demostrado que los nanoclusters soportados son catalizadores activos para esta reacción y su actividad puede relacionarse con el tipo de nanocluster pre parado.

En aquest segle, ens trobem davant d'un gran desafiament global: el canvi climàtic. Aquest desafiament comporta un canvi en el replantejament a l'hora d'enfocar i tractar els problemes mediambientals. En aquest procés, l'ensenyament no en pot quedar al marge. La comprensió real dels problemes mediambientals i la proposta d'accions ja no passa per tenir una visió fraccionada i, fins i tot, especialitzada d'una matèria. El nou plantejament s'ha de basar en un enfocament integral i interdisciplinari i que estigui en sintonia amb aquelles propostes d'avaluació i anàlisi crític que diferents organismes d'arreu del món estipulen des de fa uns quants anys. El coneixement i la interiorització de la conducta sostenible de l'alumnat s'ha de fonamentar des de diferents assignatures. A partir del treball transversal interdisciplinari, els adolescents assoliran les competències bàsiques sobre com es pot comprendre la realitat mediambiental i generar, així, conductes sostenibles en les seves pràctiques individuals i col·lectives. Aquest TFM pretén comprovar els treballs existents sobre la metodologia d'aprenentatge per projectes interdisciplinaris en tecnologia, matemàtiques i ciències naturals al curs de primer d'ESO. Diferents experts en la matèria avalen que, a través d'aquesta metodologia d'aprenentatge, els alumnes poden assolir més eficientment les competències bàsiques sobre sostenibilitat. Si es vol afrontar amb garanties el major repte de la humanitat, l'ensenyament és la clau.

To commemorate the auspicious occasion of the 30th anniversary of IPC, leading pioneers in the field of cardioprotection gathered in Barcelona in May 2016 to review and discuss the history of IPC, its evolution to IPost and RIC, myocardial reperfusion injury as a therapeutic target, and future targets and strategies for cardioprotection. This article provides an overview of the major topics discussed at this special meeting and underscores the huge importance and impact, the discovery of IPC has made in the field of cardiovascular research.

Internet of Things (IoTs) is envisioned to enable smart spaces such as smart homes, interactive museums or personalized trade in shopping malls. In these smart homes, several sensors and actuators assist in automating tasks of daily life by forming wireless sensor networks (WSNs). Active and Assisted Living (AAL) is one of the important applications of smart homes, wherein activities of elderly persons are mainly monitored and assist them through actuators when required. With a huge number of sensors involved in AAL applications across smart homes, powering the nodes is an important issue. To this end, make use of ambient energy harvesting technologies for enabling perpetual operations of the WSNs. Due to limited energy harvesting opportunities in indoor environments, the energy levels of nodes in the WSN varies over space and time. Therefore, collecting data reliably over such a network is a significant challenge. There are many proposals in this domain, including MAC, routing, etc., in such WSN. Although several routing protocols exist for WSNs and EHWSNs, they do not consider the limited energy availability. Consequently, they do not adapt to the conditions, therefore fail in their objective. We propose a novel routing protocol called Harvesting Energy Aware Routing with adaptive Duty Cycling (HEAR-DC), based on the philosophy of using available energy, and routing the data packets opportunistically. HEAR-DC has several components: (i) transmitter-initiated MAC with opportunistic reception and duplicity avoidance; (ii) an energy harvesting aware gradient; (iii) adaptive duty cycling; and (iv) adaptations to support mobile nodes and sparse data traffic. We also develop a trace-based energy harvesting simulation module for Cooja, which does not exist as yet. With this module, real data traces can be used for evaluating energy-harvesting WSN protocols. We present the design and implementation aspects as well as limitations of this module in the current state. We eva, Electrical Engineering, Mathematics and Computer Science, Software Technology, Embedded Software

Internet of Things (IoTs) is envisioned to enable smart spaces such as smart homes, interactive museums or personalized trade in shopping malls. In these smart homes, several sensors and actuators assist in automating tasks of daily life by forming wireless sensor networks (WSNs). Active and Assisted Living (AAL) is one of the important applications of smart homes, wherein activities of elderly persons are mainly monitored and assist them through actuators when required. With a huge number of sensors involved in AAL applications across smart homes, powering the nodes is an important issue. To this end, make use of ambient energy harvesting technologies for enabling perpetual operations of the WSNs. Due to limited energy harvesting opportunities in indoor environments, the energy levels of nodes in the WSN varies over space and time. Therefore, collecting data reliably over such a network is a significant challenge. There are many proposals in this domain, including MAC, routing, etc., in such WSN. Although several routing protocols exist for WSNs and EHWSNs, they do not consider the limited energy availability. Consequently, they do not adapt to the conditions, therefore fail in their objective. We propose a novel routing protocol called Harvesting Energy Aware Routing with adaptive Duty Cycling (HEAR-DC), based on the philosophy of using available energy, and routing the data packets opportunistically. HEAR-DC has several components: (i) transmitter-initiated MAC with opportunistic reception and duplicity avoidance; (ii) an energy harvesting aware gradient; (iii) adaptive duty cycling; and (iv) adaptations to support mobile nodes and sparse data traffic. We also develop a trace-based energy harvesting simulation module for Cooja, which does not exist as yet. With this module, real data traces can be used for evaluating energy-harvesting WSN protocols. We present the design and implementation aspects as well as limitations of this module in the current state. We eva, Electrical Engineering, Mathematics and Computer Science, Software Technology, Embedded Software

QC 20170510

L’especialitat de Sistemes d’Informació del Grau en Enginyeria Informàtica ha de capacitar l’estudiant o estudianta per comprendre els processos operatius i la gestió que porten a terme les persones en les organitzacions i familiaritzar l’estudiant amb els diferents tipus d’eines tecnològiques existents actualment en un SI. En aquest projecte es persegueix impulsar un procés d’aprenentatge més efectiu de la realitat dels sistemes d’informació en les organitzacions a través de la visualització dels problemes del “món real”, de manera que es generi l’interès de l’estudiantat pels continguts, se’ls faci entendre la rellevància dels problemes plantejats i se’ls doni eines per buscar més informació sobre nous problemes que no s’havien plantejat inicialment., Peer Reviewed

PdCu bimetallic catalysts supported on alumina were prepared by different common impregnation protocols and by a polyol nanoparticles synthesis route. These materials were studied in order to establish the relationship between structure, particle size, Pd–Cu interaction and catalytic activity/selectivity in the hydrodechlorination of trichloroethylene (TCE) in gas phase. The surface properties and the interaction between Cu and Pd in the bimetallic particles, as well as their catalytic behaviour are strongly influenced by the preparation protocol. Depending on the synthesis, PdCu alloy formation or isolated phases were observed. The presence of isolated Pd particles leads to high ethane selectivity, whereas upon alloy formation or strong interaction between Pd and Cu a higher ethylene yield was obtained. By the nanoparticles polyol synthesis, Pd-Cu alloy formation was obtained, leading to total selectivity to ethylene in the TCE hydrodechlorination reaction. On the Pd monometallic catalysts larger particle size resulted in higher levels of ethylene formation., Postprint (published version)

QC 20170510

We study the propagation of null rays and massless fields in a black hole fluctuating geometry. The metric fluctuations are induced by a small oscillating incoming flux of energy. The flux also induces black hole mass oscillations around its average value. We assume that the metric fluctuations are described by a statistical ensemble. The stochastic variables are the phases and the amplitudes of Fourier modes of the fluctuations. By averaging over these variables, we obtain an effective propagation for massless fields which is characterized by a critical length defined by the amplitude of the metric fluctuations: Smooth wave packets with respect to this length are not significantly affected when they are propagated forward in time. Concomitantly, we find that the asymptotic properties of Hawking radiation are not severely modified. However, backward propagated wave packets are dissipated by the metric fluctuations once their blue shifted frequency reaches the inverse critical length. All these properties bear many resemblences with those obtained in models for black hole radiation based on a modified dispersion relation. This strongly suggests that the physical origin of these models, which were introduced to confront the trans-Planckian problem, comes from the fluctuations of the black hole geometry., Comment: 32 pages

We study the propagation of null rays and massless fields in a black hole fluctuating geometry. The metric fluctuations are induced by a small oscillating incoming flux of energy. The flux also induces black hole mass oscillations around its average value. We assume that the metric fluctuations are described by a statistical ensemble. The stochastic variables are the phases and the amplitudes of Fourier modes of the fluctuations. By averaging over these variables, we obtain an effective propagation for massless fields which is characterized by a critical length defined by the amplitude of the metric fluctuations: Smooth wave packets with respect to this length are not significantly affected when they are propagated forward in time. Concomitantly, we find that the asymptotic properties of Hawking radiation are not severely modified. However, backward propagated wave packets are dissipated by the metric fluctuations once their blue shifted frequency reaches the inverse critical length. All these properties bear many resemblences with those obtained in models for black hole radiation based on a modified dispersion relation. This strongly suggests that the physical origin of these models, which were introduced to confront the trans-Planckian problem, comes from the fluctuations of the black hole geometry., Comment: 32 pages

We analyze the relativistic dynamical properties of Keplerian and non-Keplerian circular orbits in a general axisymmetric and stationary gravitational field, and discuss the implications for the stability of co- and counter-rotating accretion disks and tori surrounding a spinning black hole. Close to the horizon there are orbital peculiarities which can seem counterintuitive, but are elucidated by formulating the dynamics in terms of the orbital velocity actually measured by a local, zero-angular-momentum observer., Comment: 14 pages, latex, no figures

We analyze the relativistic dynamical properties of Keplerian and non-Keplerian circular orbits in a general axisymmetric and stationary gravitational field, and discuss the implications for the stability of co- and counter-rotating accretion disks and tori surrounding a spinning black hole. Close to the horizon there are orbital peculiarities which can seem counterintuitive, but are elucidated by formulating the dynamics in terms of the orbital velocity actually measured by a local, zero-angular-momentum observer., Comment: 14 pages, latex, no figures

We consider the problem of the hydrogen atom interacting with a circularly polarized microwave field, modeled as a perturbed Kepler problem. A remarkable feature of this system is that the electron can follow what we term erratic orbits before ionizing. In an erratic orbit the electron makes multiple large distance excursions from the nucleus with each excursion being followed by a close approach to the nucleus, where the interaction is large. Here we are interested in the mechanisms that explain this observation. We find that the manifolds associated with certain hyperbolic periodic orbits may play an important role, despite the fact that, in some respects, the dynamics is almost Keplerian. A study of some relevant invariant objects is carried out for different system parameters. The consequences of our findings for ionization of an electron by the external field are also discussed., Peer Reviewed, Postprint (published version)

© 2016, The Author(s).To commemorate the auspicious occasion of the 30th anniversary of IPC, leading pioneers in the field of cardioprotection gathered in Barcelona in May 2016 to review and discuss the history of IPC, its evolution to IPost and RIC, myocardial reperfusion injury as a therapeutic target, and future targets and strategies for cardioprotection. This article provides an overview of the major topics discussed at this special meeting and underscores the huge importance and impact, the discovery of IPC has made in the field of cardiovascular research.

© 2016, The Author(s).To commemorate the auspicious occasion of the 30th anniversary of IPC, leading pioneers in the field of cardioprotection gathered in Barcelona in May 2016 to review and discuss the history of IPC, its evolution to IPost and RIC, myocardial reperfusion injury as a therapeutic target, and future targets and strategies for cardioprotection. This article provides an overview of the major topics discussed at this special meeting and underscores the huge importance and impact, the discovery of IPC has made in the field of cardiovascular research.