[G_Deba_PraileAitz] Documentación geométrica de la cueva de Praile Aitz I (Deba, Gipuzkoa)

[ES] El siguiente artículo disponible también en este repositorio muestra información relativa al presente proyecto:

About tree-depth

In this work I present recent scientific papers related to the concept of tree-depth: different characterizations, a game theoretic approach to it and recently discovered applications. The focus in this work is presenting all the ideas in a self-contained way, such that they can be easily understood with little previous knowledge. Apart from that all the ideas are presented in a homogeneous way with clear examples and all the lemmas, some of which didn’t have proofs in the papers, are presented with rigorous proofs.

Diseño de un programa de entrenamiento para la prevención de lesiones en el ligamento cruzado anterior en jugadores de baloncesto

El proyecto está encuadrado dentro de la temática de Entrenamiento deportivo, el primer objetivo de este trabajo es el de conocer el función del ligamento cruzado anterior dentro de la articulación de la rodilla. A continuación identificar los diferentes factores que influyen en la lesión del ligamento cruzado en jugadores de baloncesto. Y posteriormente, el trabajo se centra en el desarrollo de un posible programa de prevención de las lesiones que afectan a dicho ligamento y que sirva para reducir el riesgo lesivo en los jugadores de baloncesto. Por lo que la primera parte del proyecto es de carácter fundamentalmente teórico, para ello ha sido llevada a cabo una revisión bibliográfica del tema que nos compete, recopilando y tratando toda la información de manera que pueda ser usada para el posterior desarrollo de la propuesta de plan de entrenamiento. La segunda parte consiste en el desarrollo y presentación del plan de entrenamiento, basándonos en los datos científicos recabados anteriormente, utilizando como base dicha información para fundamentar la objetividad del programa de entrenamiento propuesto.

Detection of particles with a cloud chamber

Cloud chambers were essential devices in early nuclear and particle physics research. Superseded by more modern detectors in actual research, they still remain very interesting pedagogical apparatus. This thesis attempts to give a global view on this topic. To do so, a review of the physical foundations of the diffusion cloud chamber, in which an alcohol is supersaturated by cooling it with a thermal reservoir, is carried out. Its main results are then applied to analyse the working conditions inside the chamber. The analysis remarks the importance of using an appropriate alcohol, such as isopropanol, as well as a strong cooling system, which for isopropanol needs to reach −40ºC. That theoretical study is complemented with experimental tests that were performed with what is the usual design of a home-made cloud chamber. An effective setup is established, which highlights details such as a grazing illumination, a direct contact with the cooling reservoir through a wide metal plate, or the importance of avoiding vapour removal. Apart from that, video results of different phenomena that cloud chamber allow to observe are also presented. Overall, it is aimed to present a physical insight that pedagogical papers usually lack.

Feedback on the Rate and Depth of Chest Compressions during Cardiopulmonary Resuscitation Using Only Accelerometers

Background Quality of cardiopulmonary resuscitation (CPR) is key to increase survival from cardiac arrest. Providing chest compressions with adequate rate and depth is difficult even for well-trained rescuers. The use of real-time feedback devices is intended to contribute to enhance chest compression quality. These devices are typically based on the double integration of the acceleration to obtain the chest displacement during compressions. The integration process is inherently unstable and leads to important errors unless boundary conditions are applied for each compression cycle. Commercial solutions use additional reference signals to establish these conditions, requiring additional sensors. Our aim was to study the accuracy of three methods based solely on the acceleration signal to provide feedback on the compression rate and depth. Materials and Methods We simulated a CPR scenario with several volunteers grouped in couples providing chest compressions on a resuscitation manikin. Different target rates (80, 100, 120, and 140 compressions per minute) and a target depth of at least 50 mm were indicated. The manikin was equipped with a displacement sensor. The accelerometer was placed between the rescuer's hands and the manikin's chest. We designed three alternatives to direct integration based on different principles (linear filtering, analysis of velocity, and spectral analysis of acceleration). We evaluated their accuracy by comparing the estimated depth and rate with the values obtained from the reference displacement sensor. Results The median (IQR) percent error was 5.9% (2.8-10.3), 6.3% (2.9-11.3), and 2.5% (1.2-4.4) for depth and 1.7% (0.0-2.3), 0.0% (0.0-2.0), and 0.9% (0.4-1.6) for rate, respectively. Depth accuracy depended on the target rate (p < 0.001) and on the rescuer couple (p < 0.001) within each method. Conclusions Accurate feedback on chest compression depth and rate during CPR is possible using exclusively the chest acceleration signal. The algorithm based on spectral analysis showed the best performance. Despite these encouraging results, further research should be conducted to asses the performance of these algorithms with clinical data.