133,839 research outputs found

    Confusión de la secta Mahomática <dt.>

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    Schlüsselseiten aus dem Exemplar der HAB Wolfenbüttel: Xb 5213Vorlageform d. Erscheinungsvermerks: Hamburg In Verlegung Georg Wulff/ Buchhandler in St. Johannis Kirchen. 1685Frontis

    Maximal fluctuations around the Wulff shape for edge-isoperimetric sets in Z(d): a sharp scaling law

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    We derive a sharp scaling law for deviations of edge-isoperimetric sets in the lattice Zd from the limiting Wulff shape in arbitrary dimensions. As the number n of elements diverges, we prove that the symmetric difference to the corresponding Wulff set consists of at most O(n(d−1+21−d )/d ) lattice points and that the exponent (d − 1 + 21−d )/d is optimal. This extends the previously found ‘n3/4 laws’ for d = 2, 3 to general dimensions. As a consequence we obtain optimal estimates on the rate of convergence to the limiting Wulff shape as n diverges

    El uso del software HistCite para identificar artículos significativos en búsquedas por materias en la Web of Science

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    HistCiteTM is a large-scale computer tool for mapping science. Its power of visualization combines the production of historiographs on the basis of the analysis of co-citations of documents, with the use of bibliometrics specific indicators. The objective of this article is, to present the advantages of the new bibliometrics configuration of HistCiteTM (2004) when identifying articles to analyze the histograms that produces HistCiteTM, in terms of cumulative advantage and aging of the citations to do a comparative study of the results of HistCiteTM, in its indicators of amplitude and recognition. Also is examined its treatment of the sampling problems, by formalizing the question of Kendall

    Periodic Sphere Packings And The Wulff-Shape

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    The asymptotic shape of large densest sphere packings in a lattice L ae E d (d 2), measured by parametric density, is a polytope, the so--called Wulff--shape of ideal crystals in crystallography. This was shown in [W2] and [W3] by density deviation derived from parametric density. Our main goal is a generalization of this approach from lattice packings to periodic packings of spheres. It turns out that the asymptotic shape of large densest periodic packings is a generalized Wulff--shape which is more complicate than in the lattice case. As an application we determine this Wulff--shape for a type of crystals with two different atoms (NaCl--type) and for a non--lattice crystal (diamond) and for a combination of both (ZnS--type). In all cases the result coincides for suitable parameter with the natural shapes. In particular the asymptotic shape in the case of the ZnS--type is a tetrahedron, i.e. not centrally symmetric. Although the intention of these generalizations is application to..

    Kinetic and Thermodynamic Modified Wulff Constructions for Twinned Nanoparticles

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    Wulff constructions are a powerful tool to predict the shape of nanoparticles, which strongly influences their performance in catalysis, sensing, and surface-enhanced spectroscopies. Previous Wulff models focused on energy minimization and included contributions from the surface energy, interface energy, twin boundaries, and segregation-induced bulk energy changes. However, a large number of shapes cannot be understood by such thermodynamic approaches, in particular many of the twinned late transition metal (Ag, Au, Pt, Pd, etc.) particles of interest in catalysis and plasmonics. A review of the modified Wulff (i.e., twinned) construction is presented here, followed by the development of a modified kinetic Wulff model, which, by including kinetic parameters, explains the emergence of commonly observed shapes such as bitetrahedra, truncated bitetrahedra, thin triangular platelets, perfect decahedra, and decahedral rods

    Nanoparticle shapes by using Wulff constructions and first-principles calculations

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    Background: The majority of complex and advanced materials contain nanoparticles. The properties of these materials depend crucially on the size and shape of these nanoparticles. Wulff construction offers a simple method of predicting the equilibrium shape of nanoparticles given the surface energies of the material.Results: We review the mathematical formulation and the main applications of Wulff construction during the last two decades. We then focus to three recent extensions: active sites of metal nanoparticles for heterogeneous catalysis, ligand-protected nanoparticles generated as colloidal suspensions and nanoparticles of complex metal hydrides for hydrogen storage.Conclusion: Wulff construction, in particular when linked to first-principles calculations, is a powerful tool for the analysis and prediction of the shapes of nanoparticles and tailor the properties of shape-inducing species

    Multi-publication data set on experienced-based and description-based risky choice

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    The data of 28 publications studying the description-experience gap, involving experience- and description-based risky choices, that served as the basis for the meta analysis reported in Wulff, D. U., Mergenthaler-Canseco, M., & Hertwig, R. (2018). A meta-analytic review of two modes of learning and the description-experience gap. Psychological Bulletin, 144(2), 140-176.</p

    MeSH term explosion and author rank improve expert recommendations

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    Information overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
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