Country size and the price of tradeables: is there any relationship beyond wishful thinking?

The existence of transport costs among countries makes prices of tradables diverge. When the market structure is a differentiated oligopoly the prices of tradables increase as a country get larger and/or richer. In a framework of economies of scale-di¤erentiation-monopolistic competition a less definite result can be found, since it all depends on the level of transport costs and the degree of openess. First we go through some theoretical aspects of these different approaches. Then, we provide empirical tests that may be able to discriminate among the two competing approaches. The results show that a relationship exists between size, percapita incomes and prices of tradables in countries separated by some transport cost. As a country is larger prices are lower, yet they become higher if percapita income is higher

Freeze-out conditions from net-proton and net-charge fluctuations at RHIC

We calculate ratios of higher-order susceptibilities quantifying fluctuations in the number of net protons and in the net-electric charge using the Hadron Resonance Gas (HRG) model. We take into account the effect of resonance decays, the kinematic acceptance cuts in rapidity, pseudo-rapidity and transverse momentum used in the experimental analysis, as well as a randomization of the isospin of nucleons in the hadronic phase. By comparing these results to the latest experimental data from the STAR collaboration, we determine the freeze-out conditions from net-electric charge and net-proton distributions and discuss their consistency.Comment: 7 pages, 6 figures, particle ratio figure adde

Scalable System-on-Chip Design

The crisis of technology scaling led the industry of semiconductors towards the adoption of disruptive technologies and innovations to sustain the evolution of microprocessors and keep under control the timing of the design cycle. Multi-core and many-core architectures sought more energy-efficient computation by replacing a power-hungry processor with multiple simpler cores exploiting parallelism. Multi-core processors alone, however, turned out to be insufficient to sustain the ever growing demand for energy and power-efficient computation without compromising performance. Therefore, designers were pushed to drift from homogeneous architectures towards more complex heterogeneous systems that employ the large number of available transistors to incorporate a combination of customized energy-efficient accelerators, along with the general-purpose processor cores. Meanwhile, enhancements in manufacturing processes allowed designers to move a variety of peripheral components and analog devices into the chip. This paradigm shift defined the concept of {\em system-on-chip} (SoC) as a single-chip design that integrates several heterogeneous components. The rise of SoCs corresponds to a rapid decrease of the opportunity cost for integrating accelerators. In fact, on one hand, employing more transistors for powerful cores is not feasible anymore, because transistors cannot be active all at once within reasonable power budgets. On the other hand, increasing the number of homogeneous cores incurs more and more diminishing returns. The availability of cost effective silicon area for specialized hardware creates an opportunity to enter the market of semiconductors for new small players: engineers from several different scientific areas can develop competitive algorithms suitable for acceleration for domain-specific applications, such as multimedia systems, self-driving vehicles, robotics, and more. However, turning these algorithms into SoC components, referred to as {\em intellectual property}, still requires expert hardware designers who are typically not familiar with the specific domain of the target application. Furthermore, heterogeneity makes SoC design and programming much more difficult, especially because of the challenges of the integration process. This is a fine art in the hands of few expert engineers who understand system-level trade-offs, know how to design good hardware, how to handle memory and power management, how to shape and balance the traffic over an interconnect, and are able to deal with many different hardware-software interfaces. Designers need solutions enabling them to build scalable and heterogeneous SoCs. My thesis is that {\em the key to scalable SoC designs is a regular and flexible architecture that hides the complexity of heterogeneous integration from designers, while helping them focus on the important aspects of domain-specific applications through a companion system-level design methodology.} I open a path towards this goal by proposing an architecture that mitigates heterogeneity with regularity and addresses the challenges of heterogeneous component integration by implementing a set of {\em platform services}. These are hardware and software interfaces that from a system-level viewpoint give the illusion of working with a homogeneous SoC, thus making it easier to reuse accelerators and port applications across different designs, each with its own target workload and cost-performance trade-off point. A companion system-level design methodology exploits the regularity of the architecture to guide designers in implementing their intellectual property and enables an extensive design-space exploration across multiple levels of abstraction. Throughout the dissertation, I present a fully automated flow to deploy heterogeneous SoCs on single or multiple field-programmable-gate-array devices. The flow provides non-expert designers with a set of knobs for tuning system-level features based on the given mix of accelerators that they have integrated. Many contributions of my dissertation have already influenced other research projects as well as the content of an advanced course for graduate and senior undergraduate students, which aims to form a new generation of system-level designers. These new professionals need not to be circuit or register-transfer level design experts, and not even gurus of operating systems. Instead, they are trained to design efficient intellectual property by considering system-level trade-offs, while the architecture and the methodology that I describe in this dissertation empower them to integrate their components into an SoC. Finally, with the open-source release of the entire infrastructure, including the SoC-deployment flow and the software stack, I hope I will be able to inspire other research groups and help them implement ideas that further reduce the cost and design-time of future heterogeneous systems

Repetitive transcranial magnetic stimulation (rTMS) in the treatment of obsessive–compulsive disorder (OCD) and Tourette's syndrome (TS)

There is evidence that motor and premotor cortex are hyperexcitable in obsessive-compulsive disorder (OCD) and Tourette's syndrome (TS). We tested whether low-frequency repetitive transcranial magnetic stimulation (rTMS) could normalize overactive motor cortical regions and thereby improve symptoms. Subjects with OCD or TS were treated with active rTMS to the supplementary motor area (SMA) for 10 daily sessions at 1 Hz, 100% of motor threshold, 1200 stimuli/day. Suggestions of clinical improvement were apparent as early as the first week of rTMS. At the second week of treatment, statistically significant reductions were seen in the YBOCS, YGTSS, CGI, HARS, HDRS, SAD, BDI, SCL-90, and SASS. Symptoms improvement was correlated with a significant increase of the right resting motor threshold and was stable at 3 months follow-up. Slow rTMS to SMA resulted in a significant clinical improvement and a normalization of the right hemisphere hyperexcitability, thereby restoring hemispheric symmetry in motor threshold

Why science needs philosophy

\textgreater A knowledge of the historic and philosophical background gives that kind of independence from prejudices of his generation from which most scientists are suffering. This independence created by philosophical insight is—in my opinion—the mark of distinction between a mere artisan or specialist and a real seeker after truth. \textgreater \textgreater Albert Einstein, Letter to Robert Thornton, 1944 Despite the tight historical links between science and philosophy, present-day scientists often perceive philosophy as completely different from, and even antagonistic to, science. We argue here that, to the contrary, philosophy can have an important and productive impact on science. Despite the tight historical links between science and philosophy, hearkening back to Plato, Aristotle, and others (here evoked with Raphael’s famous School of Athens), present-day scientists often perceive philosophy as completely different from, and even antagonistic to, science. To the contrary, we believe philosophy can have an important and productive impact on science. Image credit: Shutterstock.com/Isogood_patrick. We illustrate our point with three examples taken from various fields of the contemporary life sciences. Each bears on cutting-edge scientific research, and each has been explicitly acknowledged by practicing researchers as a useful contribution to science. These and other examples show that philosophy’s contribution can take at least four forms: the clarification of scientific concepts, the critical assessment of scientific assumptions or methods, the formulation of new concepts and theories, and the fostering of dialogue between different sciences, as well as between science and society. ### Conceptual Clarification and Stem Cells. First, philosophy offers conceptual clarification. Conceptual clarifications not only improve the precision and utility of scientific terms but also lead to novel experimental investigations because the choice of a given conceptual framework strongly constrains how experiments are conceived. The definition of stem cells is a prime example. Philosophy has a long tradition of investigating properties, and the tools in use in this tradition