158 research outputs found

    Advanced modelling made simple with the Gmodel metalanguage.

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    Gmodel is a metalanguage that has been designed from the ground up to enable specification and instantiation of modelling languages. Although a number of metalanguages can be used for this purpose, most provide no or only limited support for modular specifications of sets of complementary modelling languages. Gmodel addresses modularity and extensibility as primary concerns, and is based on a small number of language elements that have their origin in model theory and denotational semantics. This article illustrates Gmodel's capabilities in the area of model-driven integration by showing that the Eclipse Modeling Framework Ecore language can easily be emulated. Gmodel offers support for unlimited multi-level instantiation in the simplest possible way, and any metalanguage emulated in Gmodel can optionally be equipped with Gmodel's multi-level instantiation functionality

    Knowledge industry survival strategy (KISS): fundamental principles and interoperability requirements for domain specific modeling languages.

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    Domain Specific Languages are raising the level of abstraction of software specifications and of knowledge represen-tation in general. When DSLs are used to formalize the results of domain analysis, the result is a clean separation of concerns in the problem space. This is a major advance over aspect oriented programming, where separation of concerns is only achieved in the solution space. However, the level of interoperability between current DSL tools is comparable to the level of interoperability between CASE tools in the 90s. To increase the popularity of DSL based approaches, this needs to change. Software development has become highly decentralized, and an assumption that all parties in a global software supply chain will use identical tooling is simply not realistic. As a result today's software supply chains are much less automated than supply chains in other, more mature industries. The KISS series of workshops is used to incrementally establish a consensus on the fundamental principles that underpin the use of DSLs, and to improve DSL tool interoperability

    Anomalous diffusion as a signature of collapsing phase in two dimensional self-gravitating systems

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    A two dimensional self-gravitating Hamiltonian model made by NN fully-coupled classical particles exhibits a transition from a collapsing phase (CP) at low energy to a homogeneous phase (HP) at high energy. From a dynamical point of view, the two phases are characterized by two distinct single-particle motions : namely, superdiffusive in the CP and ballistic in the HP. Anomalous diffusion is observed up to a time Ï„\tau that increases linearly with NN. Therefore, the finite particle number acts like a white noise source for the system, inhibiting anomalous transport at longer times.Comment: 10 pages, Revtex - 3 Figs - Submitted to Physical Review

    A conjectural extension of Hecke’s converse theorem

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    We formulate a precise conjecture that, if true, extends the converse theorem of Hecke without requiring hypotheses on twists by Dirichlet characters or an Euler product. The main idea is to linearize the Euler product, replacing it by twists by Ramanujan sums. We provide evidence for the conjecture, including proofs of some special cases and under various additional hypotheses

    Equilibrium and dynamical properties of two dimensional self-gravitating systems

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    A system of N classical particles in a 2D periodic cell interacting via long-range attractive potential is studied. For low energy density UU a collapsed phase is identified, while in the high energy limit the particles are homogeneously distributed. A phase transition from the collapsed to the homogeneous state occurs at critical energy U_c. A theoretical analysis within the canonical ensemble identifies such a transition as first order. But microcanonical simulations reveal a negative specific heat regime near UcU_c. The dynamical behaviour of the system is affected by this transition : below U_c anomalous diffusion is observed, while for U > U_c the motion of the particles is almost ballistic. In the collapsed phase, finite NN-effects act like a noise source of variance O(1/N), that restores normal diffusion on a time scale diverging with N. As a consequence, the asymptotic diffusion coefficient will also diverge algebraically with N and superdiffusion will be observable at any time in the limit N \to \infty. A Lyapunov analysis reveals that for U > U_c the maximal exponent \lambda decreases proportionally to N^{-1/3} and vanishes in the mean-field limit. For sufficiently small energy, in spite of a clear non ergodicity of the system, a common scaling law \lambda \propto U^{1/2} is observed for any initial conditions.Comment: 17 pages, Revtex - 15 PS Figs - Subimitted to Physical Review E - Two column version with included figures : less paper waste

    Migration, communities-on-the-move and international innovation networks: An empirical analysis of Spanish regions

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    This paper investigates the impact of migration on innovation networks between regions and foreign countries. We posit that immigrants (emigrants) act as a transnational knowledge bridge between the host (home) regions and their origin (destination) countries, thus facilitating their co-inventorship networks. We also argue that the social capital of both the hosting and the moving communities reinforces such a bridging role, along with language commonality and migrants’ human capital. Focusing on Spain, as a country that hosted an intense process of migration over the past two decades, we combine patent data with national data on residents and electors abroad and we apply a gravity model to the co-inventorship between Spanish provinces (NUTS3 regions) and a number of foreign countries. Both immigrants and emigrants affect the kind of innovation networking at stake. The social capital of both the moving and the hosting communities actually moderate this impact in a positive way. The effect of migration is stronger for more skilled migrants and with respect to non-Spanish speaking countries, pointing to a language-bridging role of migrants. Policy implications are drawn accordingly

    Amount of substance and the mole in the SI

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    Abstract Following the revision of the International System of Units (SI), that takes effect on 20 May 2019, the unit mole is defined by using a fixed number of elementary entities. This number is the fixed numerical value of the Avogadro constant, which is the defining constant of the unit mole. This definition was made possible because the determination of the Avogadro constant had reached a level of relative uncertainty that allowed its value to be fixed and, at the same time, safeguard continuity of measurement results before and after the definition. The motivation for the revision of the SI and the mole in particular will be explained and the experimental work that allowed it is summarized

    Improved measurement results for the Avogadro constant using a 28Si-enriched crystal

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    New results are reported from an ongoing international research effort to accurately determine the Avogadro constant by counting the atoms in an isotopically enriched silicon crystal. The surfaces of two 28Si-enriched spheres were decontaminated and reworked in order to produce an outer surface without metal contamination and improved sphericity. New measurements were then made on these two reconditioned spheres using improved methods and apparatuses. When combined with other recently refined parameter measurements, the Avogadro constant derived from these new results has a value of NA=6.02214076(12)×1023N_A = 6.022 140 76(12) \times 10^{23} mol−1^{-1}. The X-ray crystal density method has thus achieved the target relative standard uncertainty of 2.0×10−82.0 \times 10^{-8} necessary for the realization of the definition of the new kilogram.Comment: postprint, 22 page, 3 figures, 14 table
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