The EU, counter-terrorism and the protection of Muslims as European minorities

This article examines the EU’s promotion of the religious identity of Muslims within the context of European counter-terrorism measures. Counter-terrorism laws of the EU and its Member States impact on the religious identity of Muslims. They have an arguably disproportionate effect on the civil rights of individuals in the quest to combat terrorism and can be seen to increase Islamophobia in two ways: a rise in general discrimination against Muslims and a requirement on Muslims to distance their connection to Islamic practice and traditions. EU law dealing with terrorist offences speak little of this backlash that Muslims face in European countries. Although the EU has somewhat of a framework in place which concerns the protection of Islamic identity, the reluctance of the EU to take a determined stance on the issue of the protection of religious identity is illustrated through the ambiguous nature of its legislation.

Classifying general nonlinear force laws in cell-based models via the continuum limit

though discrete cell-based frameworks are now commonly used to simulate a whole range of biological phenomena, it is typically not obvious how the numerous different types of model are related to one another, nor which one is most appropriate in a given context. Here we demonstrate how individual cell movement on the discrete scale modeled using nonlinear force laws can be described by nonlinear diffusion coefficients on the continuum scale. A general relationship between nonlinear force laws and their respective diffusion coefficients is derived in one spatial dimension and, subsequently, a range of particular examples is considered. For each case excellent agreement is observed between numerical solutions of the discrete and corresponding continuum models. Three case studies are considered in which we demonstrate how the derived nonlinear diffusion coefficients can be used to (a) relate different discrete models of cell behavior; (b) derive discrete, intercell force laws from previously posed diffusion coefficients, and (c) describe aggregative behavior in discrete simulations.

Hobbes, history, and non-domination

Pettit's and Skinner's stimulating books are open to historically-minded objections. Pettit's reading of Hobbes is Rousseauian, but he rejects the Hobbesian/Rousseauian belief that some modern people are driven by amour-propre/“glory”. If Hobbes is right, there is, in Pettit's sense, no “common good”. Skinner's treatment of the neo-Roman “theorists” over-estimates their self-consciousness and their consistency. Leviathan chapter 21 is not a response to neo-Romanism; it treats civil liberty as non-obligation, not as non-interference.

When consent doesn't work: a rights-based case for limits to consent’s capacity to legitimise

Consent's capacity to legitimise actions and claims is limited by conditions such as coercion, which render consent ineffective. A better understanding of the limits to consent's capacity to legitimise can shed light on a variety of applied debates, in political philosophy, bioethics, economics and law. I show that traditional paternalist explanations for limits to consent's capacity to legitimise cannot explain the central intuition that consent is often rendered ineffective when brought about by a rights violation or threatened rights violation. I argue that this intuition is an expression of the same principles of corrective justice that underlie norms of compensation and rectification. I show how these principles can explain and clarify core intuitions about conditions which render consent ineffective, including those concerned with the consenting agent's option set, his mental competence, and available information.

Digital predistorter design using B-Spline neural network and inverse of De Boor algorithm

This contribution introduces a new digital predistorter to compensate serious distortions caused by memory high power amplifiers (HPAs) which exhibit output saturation characteristics. The proposed design is based on direct learning using a data-driven B-spline Wiener system modeling approach. The nonlinear HPA with memory is first identified based on the B-spline neural network model using the Gauss-Newton algorithm, which incorporates the efficient De Boor algorithm with both B-spline curve and first derivative recursions. The estimated Wiener HPA model is then used to design the Hammerstein predistorter. In particular, the inverse of the amplitude distortion of the HPA's static nonlinearity can be calculated effectively using the Newton-Raphson formula based on the inverse of De Boor algorithm. A major advantage of this approach is that both the Wiener HPA identification and the Hammerstein predistorter inverse can be achieved very efficiently and accurately. Simulation results obtained are presented to demonstrate the effectiveness of this novel digital predistorter design.