New geographies of European financial competition? Frankfurt, Paris and the political economy of Brexit

The UK’s exit from the EU is unlikely to challenge the City of London’s position as Europe’s leading international financial centre (IFC). However, Brexit does create opportunities for alternative financial centres located inside the remaining EU member states. In this article, we assess the strategic positioning of private and public actors within two European IFCs - Frankfurt and Paris - in the period following the Brexit vote. Agents within these centres are seeking to differentially benefit from Brexit in two distinct ways: by mobilising to attract ‘low hanging fruit’ – vulnerable financial sub-sectors – away from the City and by utilising Brexit as a ‘bargaining chip’ to leverage domestic and European regulatory reforms. In light of these findings we argue that existing approaches to financial centre relations - in particular ‘Globalisation and World Cities’ research - should engage with the ways in which political actors shape European financial relations. Whilst private actors inside financial ‘networks’ may agitate for continued ‘cooperation’ and regulatory convergence after Brexit, new competitive orientations are also in evidence as political actors seek to privilege their territories relative to rival spaces

A general learning scheme for classical and quantum Ising machines

An Ising machine is any hardware specifically designed for finding the ground state of the Ising model. Relevant examples are coherent Ising machines and quantum annealers. In this paper, we propose a new machine learning model that is based on the Ising structure and can be efficiently trained using gradient descent. We provide a mathematical characterization of the training process, which is based upon optimizing a loss function whose partial derivatives are not explicitly calculated but estimated by the Ising machine itself. Moreover, we present some experimental results on the training and execution of the proposed learning model. These results point out new possibilities offered by Ising machines for different learning tasks. In particular, in the quantum realm, the quantum resources are used for both the execution and the training of the model, providing a promising perspective in quantum machine learning.Comment: 25 pages, 9 figure

Humanitarianism and the ‘Migration Fix’: On the Implication of NGOs in Racial Capitalism and the Management of Relative Surplus Populations

The existing critical literature on NGOs operating in the context of European migration has interrogated their involvement in systems of state surveillance and neoliberal governmentality. We supplement this with a critical political economy perspective which reveals the implication of the humanitarian sector in broader systems of capital accumulation. We draw on two related critical literatures, on Racial Capitalism and Relative Surplus Populations (RSPs), to explore the complex role that NGOs, both large and grassroots, serve in managing displaced populations at the borders of Europe. By introducing the concepts of the ‘migration fix’, secondary exploitation and racialisation, we show how NGOs are implicated, often unwittingly, in the production and management of displaced people as surplus populations, through their dequalification, categorisation and containment. We conclude by exploring the political dilemmas generated by this situation with regard to the practice of NGOs, as well as the possibility for alternative forms of solidarity

Closing the gap between EU-wide national bioeconomy monitoring frameworks and urban circular bioeconomy development

The 2018 European bioeconomy strategy sets a new vision for Europe's sustainable development: a transition to regenerative resource usage that embraces circular principles. Similarly, various member states have developed national bioeconomy strategies. To be effective, such strategies require methodologically sound monitoring tools that support the alignment of national and urban policies. Indeed, cities are central to the bioeconomy, mobilizing ever increasing amounts of biogenic materials. To better understand the suitability of national bioeconomy strategies for guiding urban circular bioeconomy transitions, this paper examines the composition, features, and topical coverage of national bioeconomy indicator sets with a threefold analysis: (1) assessment of the integration of circularity principles in the sets and their alignment with existing policy frameworks; (2) appraisal of quality and the fulfillment of the sets' functional purposes; (3) evaluation of the breadth and depth of tackled issues. Of the 27 EU member states, only nine have a dedicated bioeconomy strategy, of which four propose an indicator set. While there is a general lack of sophisticated monitoring, the tools proposed after the publication of the 2018 bioeconomy strategy (Germany and Italy) follow indicator development standards rigorously. They include circularity in their notion of bioeconomy and combine indicators for a comprehensive, substantial, informative and politically relevant analysis. These characteristics strongly improve the potential for alignment and coherence with urban-level bioeconomy monitoring efforts. Although national measuring tools are not intended to cover all urban needs, the findings of this paper give insight into their remaining gaps and highlight improvement pathways for an efficient EU-wide circular bioeconomy transition

Comparative Effects of Methylphenidate, Modafinil, and MDMA on Response Inhibition Neural Networks in Healthy Subjects

Psychostimulants such as methylphenidate and modafinil are increasingly used by healthy people for cognitive enhancement purposes, whereas the acute effect of 3,4-methylenedioxymethamphetamine (ecstasy) on cognitive functioning in healthy subjects remains unclear. This study directly compared the acute effects of methylphenidate, modafinil, and 3,4-methylenedioxymethamphetamine on the neural mechanisms underlying response inhibition in healthy subjects.; Using a double-blind, within-subject, placebo-controlled, cross-over design, methylphenidate, modafinil, and 3,4-methylenedioxymethamphetamine were administrated to 21 healthy subjects while performing a go/no-go event-related functional magnetic resonance imaging task to assess brain activation during motor response inhibition.; Relative to placebo, methylphenidate and modafinil but not 3,4-methylenedioxymethamphetamine improved inhibitory performance. Methylphenidate significantly increased activation in the right middle frontal gyrus, middle/superior temporal gyrus, inferior parietal lobule, presupplementary motor area, and anterior cingulate cortex compared with placebo. Methylphenidate also induced significantly higher activation in the anterior cingulate cortex and presupplementary motor area and relative to modafinil. Relative to placebo, modafinil significantly increased activation in the right middle frontal gyrus and superior/inferior parietal lobule, while 3,4-methylenedioxymethamphetamine significantly increased activation in the right middle/inferior frontal gyrus and superior parietal lobule.; Direct comparison of methylphenidate, modafinil, and 3,4-methylenedioxymethamphetamine revealed broad recruitment of fronto-parietal regions but specific effects of methylphenidate on middle/superior temporal gyrus, anterior cingulate cortex, and presupplementary motor area activation, suggesting dissociable modulations of response inhibition networks and potentially the superiority of methylphenidate in the enhancement of cognitive performance in healthy subjects

Performance Analysis of the SIFT Operator for Automatic Feature Extraction and Matching in Photogrammetric Applications

In the photogrammetry field, interest in region detectors, which are widely used in Computer Vision, is quickly increasing due to the availability of new techniques. Images acquired by Mobile Mapping Technology, Oblique Photogrammetric Cameras or Unmanned Aerial Vehicles do not observe normal acquisition conditions. Feature extraction and matching techniques, which are traditionally used in photogrammetry, are usually inefficient for these applications as they are unable to provide reliable results under extreme geometrical conditions (convergent taking geometry, strong affine transformations, etc.) and for bad-textured images. A performance analysis of the SIFT technique in aerial and close-range photogrammetric applications is presented in this paper. The goal is to establish the suitability of the SIFT technique for automatic tie point extraction and approximate DSM (Digital Surface Model) generation. First, the performances of the SIFT operator have been compared with those provided by feature extraction and matching techniques used in photogrammetry. All these techniques have been implemented by the authors and validated on aerial and terrestrial images. Moreover, an auto-adaptive version of the SIFT operator has been developed, in order to improve the performances of the SIFT detector in relation to the texture of the images. The Auto-Adaptive SIFT operator (A2 SIFT) has been validated on several aerial images, with particular attention to large scale aerial images acquired using mini-UAV systems

Integrating two‐dimensional water temperature simulations into a fish habitat model to improve hydro‐ and thermopeaking impact assessment

Storage hydropower plants, which are an important component of energy production in Switzerland, can lead to hydro- and thermopeaking, affecting river habitats and organisms. In this study, we developed an approach for integrating water temperature simulations into a habitat model to assess the impact of both hydro- and thermopeaking on the availability of suitable fish habitats. We focused on the habitat requirements of juvenile brown trout (Salmo trutta) in a semi-natural braided floodplain along the Moesa River (Southern Switzerland) in early summer. First, we defined different scenarios (with and without hydropeaking) based on the local hydrological and meteorological conditions. Second, we used a two-dimensional depth-averaged hydro- and thermodynamic model to simulate the spatial distributions of water depth, flow velocity, and water temperature. Third, we applied generalized preference curves for juvenile brown trout to identify hydraulically suitable habitats, and developed a new index to assess the availability of thermally suitable habitats. Finally, we quantified the extent to which hydraulically and thermally suitable habitats overlap in space and time. During both base and peak flow phases, most of the hydraulically and thermally suitable habitats are located in the side channels. High flow conditions combined with strong cold-thermopeaking lead to a higher thermal heterogeneity. However, disconnected habitats originate in the dewatering zone, increasing the risk of stranding as well as thermal stress. By helping to better understand the effects of thermopeaking on the availability of fish habitats, our approach could contribute to the design and evaluation of ecological restoration in hydropeaking rivers

Modeling Stressed MOS Oxides Using a Multiphonon-Assisted Quantum Approach—Part I: Impedance Analysis

Complementary MOS device electrical performances are considerably affected by the degradation of the oxide lay- ers and Si/SiO2 interfaces. A general expression for electrically stressed MOS impedance has been derived and applied within the nonradiative multiphonon theory of carrier capture/emission at oxide defects. The capacitance and the conductance of aged MOS field-effect transistor oxides, and their dependences on bias voltage, temperature, and stress conditions have been investigated