Proposal and validation of methodologies for the categorisation of continuous variables in the development of prediction models

158 p.

Use of generalised additive models to categorise continuous variables in clinical prediction

13 P.

Caracterización térmica de sistemas de cobertura vegetal para edificios

[ES]La caracterización térmica de una fachada vegetal es una tarea difícil que requiere un nivel de certeza y predicción realista de modelos en situaciones exteriores dinámicas. El estudio teórico de elementos constructivos complejos no asemeja la realidad, por lo que para obtener la correcta caracterización es necesario ensayar dichos elementos y analizar los datos obtenidos. Para ello se utilizan las células de ensayo PASLINK y el entorno informático LORD. A través de ellos, se obtiene la transmitancia térmica dinámica de la fachada vegetal ensayada en condiciones exteriores reales.

The propagation of nerve pulses: From the Hodgkin-Huxley model to the soliton theory

The present project aims to describe and study the nature and transmission of nerve pulses. First we review a classical model by Hodgkin-Huxley which describes the nerve pulse as a pure electric signal which propagates due to the opening of some time- and voltage-dependent ion channels. Although this model was quite successful when introduced, it fails to provide a satisfactory explanation to other phenomena that occur in the transmission of nerve pulses, therefore a new theory seems to be necessary. The soliton theory is one such theory, which we explain after introducing two topics that are important for its understanding: (i) the lipid melting of membranes, which are found to display nonlinearity and dispersion during the melting transition, and (ii) the discovery and the conditions required for the existence of solitons. In the soliton theory, the pulse is presented as an electromechanical soliton which forces the membrane through the transition while propagating. The action of anesthesia is also explained in the new framework by the melting point depression caused by anesthetics. Finally, we present a comparison between the two models.

Digital Quantum Simulation of Spin Models with Circuit Quantum Electrodynamics

Systems of interacting quantum spins show a rich spectrum of quantum phases and display interesting many-body dynamics. Computing characteristics of even small systems on conventional computers poses significant challenges. A quantum simulator has the potential to outperform standard computers in calculating the evolution of complex quantum systems. Here, we perform a digital quantum simulation of the paradigmatic Heisenberg and Ising interacting spin models using a two transmon-qubit circuit quantum electrodynamics setup. We make use of the exchange interaction naturally present in the simulator to construct a digital decomposition of the model-specific evolution and extract its full dynamics. This approach is universal and efficient, employing only resources that are polynomial in the number of spins, and indicates a path towards the controlled simulation of general spin dynamics in superconducting qubit platforms.