882 research outputs found

    Hans Kelsen and the Bindingness of Supra-National Legal Norms

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    The pure theory of law is a positivist legal theory put forward by Hans Kelsen. Recently there have been two attempts to understand democracy as a source for the normativity that the pure theory assigns to law. Lars Vinx seeks to understand the pure theory as a theory of political legitimacy, in which the normativity that the pure theory assigns to the laws of a state depends on the state’s adoption of certain legitimacy enhancing features, including being democratic. Uta Bindreiter argues that, in the case of European Community law, an additional criterion of democracy must be added to the criteria that the pure theory normally requires of legal systems before the pure theory can presuppose the normativity of European Community law. This thesis will argue that neither of these two accounts succeeds in demonstrating that the normativity of the pure theory can be understood to depend on democracy

    An automatic deep learning approach for coronary artery calcium segmentation

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    Coronary artery calcium (CAC) is a significant marker of atherosclerosis and cardiovascular events. In this work we present a system for the automatic quantification of calcium score in ECG-triggered non-contrast enhanced cardiac computed tomography (CT) images. The proposed system uses a supervised deep learning algorithm, i.e. convolutional neural network (CNN) for the segmentation and classification of candidate lesions as coronary or not, previously extracted in the region of the heart using a cardiac atlas. We trained our network with 45 CT volumes; 18 volumes were used to validate the model and 56 to test it. Individual lesions were detected with a sensitivity of 91.24%, a specificity of 95.37% and a positive predicted value (PPV) of 90.5%; comparing calcium score obtained by the system and calcium score manually evaluated by an expert operator, a Pearson coefficient of 0.983 was obtained. A high agreement (Cohen's k = 0.879) between manual and automatic risk prediction was also observed. These results demonstrated that convolutional neural networks can be effectively applied for the automatic segmentation and classification of coronary calcifications

    Fluid observers and tilting cosmology

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    We study perfect fluid cosmological models with a constant equation of state parameter Îł\gamma in which there are two naturally defined time-like congruences, a geometrically defined geodesic congruence and a non-geodesic fluid congruence. We establish an appropriate set of boost formulae relating the physical variables, and consequently the observed quantities, in the two frames. We study expanding spatially homogeneous tilted perfect fluid models, with an emphasis on future evolution with extreme tilt. We show that for ultra-radiative equations of state (i.e., Îł>4/3\gamma>4/3), generically the tilt becomes extreme at late times and the fluid observers will reach infinite expansion within a finite proper time and experience a singularity similar to that of the big rip. In addition, we show that for sub-radiative equations of state (i.e., Îł<4/3\gamma < 4/3), the tilt can become extreme at late times and give rise to an effective quintessential equation of state. To establish the connection with phantom cosmology and quintessence, we calculate the effective equation of state in the models under consideration and we determine the future asymptotic behaviour of the tilting models in the fluid frame variables using the boost formulae. We also discuss spatially inhomogeneous models and tilting spatially homogeneous models with a cosmological constant

    Room-Temperature Quantum Bit Memory Exceeding One Second

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    Stable quantum bits, capable both of storing quantum information for macroscopic time scales and of integration inside small portable devices, are an essential building block for an array of potential applications. We demonstrate high-fidelity control of a solid-state qubit, which preserves its polarization for several minutes and features coherence lifetimes exceeding 1 second at room temperature. The qubit consists of a single ^(13)C nuclear spin in the vicinity of a nitrogen-vacancy color center within an isotopically purified diamond crystal. The long qubit memory time was achieved via a technique involving dissipative decoupling of the single nuclear spin from its local environment. The versatility, robustness, and potential scalability of this system may allow for new applications in quantum information science
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