102,347 research outputs found

    L’istruzione probatoria

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    Preliminare all’analisi dei singoli mezzi di prova è la definizione dell’oggetto dell’istruzione probatoria e dei correlati poteri e oneri esistenti in capo alle parti e al giudice. Occorre, dunque, delineare le modalità di definizione dell’oggetto dell’istruzione probatoria, alla luce dei precetti costituzionali che, in materia, t rovano diretta applicazione

    Chaos, Coherence, and Dissipation.

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    Stemmacantha uniflora Dittrich 1984

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    Cnicus uniflorus Linnaeus, Mantissa Plantarum Altera: 572. 1771. "Habitat in Sibiria." RCN: 5983. Lectotype (Dittrich in Candollea 39: 149. 1984): [icon] " Centaurea calicibus membranaceis, foliis pinnatifidis, dentatis " in Gmelin, Fl. Sibirica 2: 86, t. 38. 1752 (see p. 132). Current name: Stemmacantha uniflora (L.) Dittrich (Asteraceae).Published as part of Jarvis, Charlie, 2007, Chapter 7: Linnaean Plant Names and their Types (part C), pp. 370-473 in Order out of Chaos. Linnaean Plant Types and their Types, London :Linnaean Society of London in association with the Natural History Museum on page 430, DOI: 10.5281/zenodo.29197

    Spectral properties of systems with dynamical localization: I. the local spectrum

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    Spectral properties of systems with dynamical localization: I. The local spectrum. - II. Finite sample approach / T. Dittrich ; U. Smilansky. - In: Nonlinearity. 4. 1991. S. 59-10

    Quantum chaos in open systems

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    Quantum chaos in open systems / T. Dittrich ; R. Graham. - In: Information dynamics / ed. by Harald Atmanspacher ... - New York u.a. : Plenum Pr., 1991. - S. 289-301. - (NATO ASI series : B, Physics ; 256

    The domino billiard

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    The domino billiard / E. Doron ; U. Smilansky ; T. Dittrich. - In: Physica / B. 179. 1992. S. 1-

    Classical diffusion, Anderson localization, and spectral statistics in billiard chains

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    Classical diffusion, Anderson localization, and spectral statistics in billiard chains / T. Dittrich ; E. Doron ; U. Smilansky. - In: Journal of physics. A. 27. 1994. S. 79-11

    Efficient Learning of Balanced Signature Graphs

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    The novel concept of signature graphs extends signed graphs by admitting multiple types of partial similarity/agreement or dissimilarity/disagreement. Extending the concept of balancedness to signature graphs yields an explicit and efficient basis for multi-class clustering and classification. Contrary to existing two-stage approaches that consist of graph learning followed by graph clustering, we propose a one-step procedure that directly learns a perfectly clustered graph. We describe the algorithmic constituents for our approach and illustrate its superiority via numerical simulations

    Artificial Life as an Aid to Astrobiology: Testing Life Seeking Techniques

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    Searching for signatures of fossil or present life in our solar system requires autonomous devices capable of investigating remote locations with limited assistance from earth. Here, we use an artificial chemistry model to create spatially complex chemical environments. An autonomous experimentation technique based on evolutionary computation is then employed to explore these environments with the aim of discovering the chemical signature of small patches of biota present in the simulation space. In the highly abstracted environment considered, autonomous experimentation achieves fair to good predictions for locations with biological activity. We believe that artificially generated biospheres will be an important tool for developing the algorithms key to the search for life on Mars

    Letter, [Author unclear] to Paulina T. Merritt

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    Handwritten letter to Paulina Merritt from an unknown author, October 1, 1876.
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