Moral Communities or a Market State: The Supreme Court’s Vision of the Police Power in the Age of Globalization

In essence, this Article attempts to explain the underlying logic of two intersecting lines of recent Supreme Court decisions. The first line of cases concerns the allocation of constitutional power between the Nation and the States (i.e., cases about federalism ); the other line concerns claims of individual right against exercises of purported State power (i.e., cases about individual rights ). The federalism cases deal, respectively, with the powers of the States against Congress in the regulation of domestic matters \u27 and as against the Executive (and, less often, Congress) in influencing foreign affairs. The individual rights cases deal with equal access to State-provided benefits that take account of race and with State regulation of private decisionmaking under the auspices of police power. Both lines of cases can be understood as efforts by the Supreme Court to adapt the American constitutional order to what it perceives as the necessities of globalization, and specifically to the successful transition from the constitutional order of the Nation State to that of the Market State

Simulating the behavior of the human brain on GPUS

The simulation of the behavior of the Human Brain is one of the most important challenges in computing today. The main problem consists of finding efficient ways to manipulate and compute the huge volume of data that this kind of simulations need, using the current technology. In this sense, this work is focused on one of the main steps of such simulation, which consists of computing the Voltage on neurons’ morphology. This is carried out using the Hines Algorithm and, although this algorithm is the optimum method in terms of number of operations, it is in need of non-trivial modifications to be efficiently parallelized on GPUs. We proposed several optimizations to accelerate this algorithm on GPU-based architectures, exploring the limitations of both, method and architecture, to be able to solve efficiently a high number of Hines systems (neurons). Each of the optimizations are deeply analyzed and described. Two different approaches are studied, one for mono-morphology simulations (batch of neurons with the same shape) and one for multi-morphology simulations (batch of neurons where every neuron has a different shape). In mono-morphology simulations we obtain a good performance using just a single kernel to compute all the neurons. However this turns out to be inefficient on multi-morphology simulations. Unlike the previous scenario, in multi-morphology simulations a much more complex implementation is necessary to obtain a good performance. In this case, we must execute more than one single GPU kernel. In every execution (kernel call) one specific part of the batch of the neurons is solved. These parts can be seen as multiple and independent tridiagonal systems. Although the present paper is focused on the simulation of the behavior of the Human Brain, some of these techniques, in particular those related to the solving of tridiagonal systems, can be also used for multiple oil and gas simulations. Our studies have proven that the optimizations proposed in the present work can achieve high performance on those computations with a high number of neurons, being our GPU implementations about 4× and 8× faster than the OpenMP multicore implementation (16 cores), using one and two NVIDIA K80 GPUs respectively. Also, it is important to highlight that these optimizations can continue scaling, even when dealing with a very high number of neurons.This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No. 720270 (HBP SGA1), from the Spanish Ministry of Economy and Competitiveness under the project Computación de Altas Prestaciones VII (TIN2015-65316-P), the Departament d’Innovació, Universitats i Empresa de la Generalitat de Catalunya, under project MPEXPAR: Models de Programació i Entorns d’Execució Parallels (2014-SGR-1051). We thank the support of NVIDIA through the BSC/UPC NVIDIA GPU Center of Excellence, and the European Union’s Horizon 2020 Research and Innovation Program under the Marie Sklodowska-Curie Grant Agreement No. 749516.Peer ReviewedPostprint (published version

Validation of a Real-Time Capable Multibody Vehicle Dynamics Formulation for Automotive Testing Frameworks Based on Simulation

The growing functionalities implemented on vehicles have increased the importance of simulation in the design process. This complexity is mainly driven by the introduction of electrified powertrains, Advanced Driver Assistance Systems (ADAS) and Automated Driving Systems (ADS). Additionally, the automotive industry must reduce development times and cost, while keeping flexible development capabilities and fulfilling demanding regulation standards for safety-critical systems. Existing testing frameworks based on simulation implement typically analytical models to ensure real-time performance, and provide limited flexibility to perform Hardware in the Loop (HiL) setup based tests. In this work a vehicle modelling approach which guarantees high accuracy and real-time capabilities is proposed. Moreover, the proposed approach is validated firstly with real vehicle data, demonstrating that it can fairly reproduce the behaviour of the vehicle tested; and secondly, in a HiL setup to demonstrate the real-time execution capabilities of the approach

Direct replacement of antibodies with molecularly imprinted polymer (MIP) nanoparticles in ELISA - development of a novel assay for vancomycin

A simple and straightforward technique for coating microplate wells with molecularly imprinted polymer nanoparticles (nanoMIPs) to develop ELISA type assays is presented here for the first time. NanoMIPs were synthesized by a solid phase approach with immobilized vancomycin (template) and characterized using Biacore 3000, dynamic light scattering and electron microscopy. Immobilization, blocking and washing conditions were optimized in microplate format. The detection of vancomycin was achieved in competitive binding experiments with a HRP-vancomycin conjugate. The assay was capable of measuring vancomycin in buffer and in blood plasma within the range 0.001-70 nM with a detection limit of 0.0025 nM (2.5 pM). The sensitivity of the assay was three orders of magnitude better than a previously described ELISA based on antibodies. In these experiments nanoMIPs have shown high affinity and minimal interference from blood plasma components. Immobilized nanoMIPs were stored for 1 month at room temperature without any detrimental effects to their binding properties. The high affinity of nanoMIPs and the lack of a requirement for cold chain logistics make them an attractive alternative to traditional antibodies used in ELIS

Basal ganglia, drug addiction and the neuroscience of maladaptive habits

The mammalian brain has developed memory systems mediating rigid, yet evolutionarily adaptive patterns of responding to invariant environmental stimuli and internal demands. Such memory systems promote the recall of specific response templates and the execution of inflexible actions to liberate buffering capacity for performing conscious, explicit cognitive processing. The dopamine-innervated neostriatum is central to the ability to learn such consistent associations between stimuli and actions implicitly. Controlled by their outcome when initially learned, actions succumb through iteration to the influence of triggering stimuli and progressively detach themselves from the pleasurable results originally produced, thereby becoming pervasive habits. This might be the case for drug-seeking and drug-taking behaviours, actions learned in part through dopamine-dependent drug-induced reinforcement when the drug is first experienced. With extended drug use, however, drugseeking actions might become conditioned to, and triggered by, specific exteroceptive stimuli and/or affective states, gradually becoming irrepressible forms of responding. We will review neuroanatomical, neuropharmacological and behavioural evidence suggesting that the basal ganglia play a prominent role in the shaping of drug addiction, here regarded as a pathological modification of otherwise adaptive habit learning systems mediated by the basal ganglia.peer-reviewe