9,489 research outputs found

    Coercivity of domain wall motion in thin films of amorphous rare earth-transition metal alloys

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    Computer simulations of a two dimensional lattice of magnetic dipoles are performed on the Connection Machine. The lattice is a discrete model for thin films of amorphous rare-earth transition metal alloys, which have application as the storage media in erasable optical data storage systems. In these simulations, the dipoles follow the dynamic Landau-Lifshitz-Gilbert equation under the influence of an effective field arising from local anisotropy, near-neighbor exchange, classical dipole-dipole interactions, and an externally applied field. Various sources of coercivity, such as defects and/or inhomogeneities in the lattice, are introduced and the subsequent motion of domain walls in response to external fields is investigated

    Universality and Clustering in 1+1 Dimensional Superstring-Bit Models

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    We construct a 1+1 dimensional superstring-bit model for D=3 Type IIB superstring. This low dimension model escapes the problems encountered in higher dimension models: (1) It possesses full Galilean supersymmetry; (2) For noninteracting polymers of bits, the exactly soluble linear superpotential describing bit interactions is in a large universality class of superpotentials which includes ones bounded at spatial infinity; (3) The latter are used to construct a superstring-bit model with the clustering properties needed to define an SS-matrix for closed polymers of superstring-bits.Comment: 11 pages, Latex documen

    Is Tsallis thermodynamics nonextensive?

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    Within the Tsallis thermodynamics' framework, and using scaling properties of the entropy, we derive a generalization of the Gibbs-Duhem equation. The analysis suggests a transformation of variables that allows standard thermodynamics to be recovered. Moreover, we also generalize Einstein's formula for the probability of a fluctuation to occur by means of the maximum statistical entropy method. The use of the proposed transformation of variables also shows that fluctuations within Tsallis statistics can be mapped to those of standard statistical mechanics.Comment: 4 pages, no figures, revised version, new title, accepted in PR

    Program for computing partial pressures from residual gas analyzer data

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    A computer program for determining the partial pressures of various gases from residual-gas-analyzer data is given. The analysis of the ion currents of 18 m/e spectrometer peaks allows the determination of 12 gases simultaneously. Comparison is made to ion-gage readings along with certain other control information. The output data are presented in both tabular and graphical form

    Pedagogy of the Front Float: Dialogue and Aquatics Programming in Taloyoak, Nunavut

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    We examine the first author’s experiences with aquatics programming in Nunavut through a Freirian lens, arguing that one can use Paulo Freire’s ideals of dialogue and collaboration to recognize recreation as a mode of social oppression and to offer ways to disrupt this oppression. Though Freire’s work is almost 40 years old, his theoretical contributions have not yet been fully realized within the recent post-colonial context surrounding physical activity, and particularly aquatics programming, in Canada’s North. Using this critical inquiry approach, we suggest that programmers can make aquatics offerings more collaborative and culturally relevant by recognizing the cultural and geographical context of northern communities, dialoguing with community members about aquatics programs, and adapting southern-based programs to the northern context.Nous nous penchons sur les expériences du premier auteur en matière de programmation aquatique au Nunavut en empruntant l’approche de Freire, soutenant ainsi qu’on peut recourir aux idéaux de Paulo Freire en matière de dialogue et de collaboration pour reconnaître les loisirs en tant que mode d’oppression sociale et présenter des moyens d’interrompre cette oppression. Même si l’oeuvre de Freire remonte à près d’une quarantaine d’années, ses contributions théoriques n’ont toujours pas été entièrement réalisées dans le contexte post-colonial récent en matière d’activité physique, et surtout de programmation aquatique dans le Nord canadien. En nous appuyant sur cette approche d’enquête critique, nous soutenons que les responsables de la programmation peuvent faire en sorte que les options du domaine aquatique soient davantage coopératives et pertinentes du point de vue culturel en tenant compte du contexte culturel et géographique des collectivités du Nord, en dialoguant avec les membres de la collectivité au sujet des programmes aquatiques et en adaptant les programmes du sud au contexte du nord

    A Deep Relevance Matching Model for Ad-hoc Retrieval

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    In recent years, deep neural networks have led to exciting breakthroughs in speech recognition, computer vision, and natural language processing (NLP) tasks. However, there have been few positive results of deep models on ad-hoc retrieval tasks. This is partially due to the fact that many important characteristics of the ad-hoc retrieval task have not been well addressed in deep models yet. Typically, the ad-hoc retrieval task is formalized as a matching problem between two pieces of text in existing work using deep models, and treated equivalent to many NLP tasks such as paraphrase identification, question answering and automatic conversation. However, we argue that the ad-hoc retrieval task is mainly about relevance matching while most NLP matching tasks concern semantic matching, and there are some fundamental differences between these two matching tasks. Successful relevance matching requires proper handling of the exact matching signals, query term importance, and diverse matching requirements. In this paper, we propose a novel deep relevance matching model (DRMM) for ad-hoc retrieval. Specifically, our model employs a joint deep architecture at the query term level for relevance matching. By using matching histogram mapping, a feed forward matching network, and a term gating network, we can effectively deal with the three relevance matching factors mentioned above. Experimental results on two representative benchmark collections show that our model can significantly outperform some well-known retrieval models as well as state-of-the-art deep matching models.Comment: CIKM 2016, long pape

    Is the third coefficient of the Jones knot polynomial a quantum state of gravity?

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    Some time ago it was conjectured that the coefficients of an expansion of the Jones polynomial in terms of the cosmological constant could provide an infinite string of knot invariants that are solutions of the vacuum Hamiltonian constraint of quantum gravity in the loop representation. Here we discuss the status of this conjecture at third order in the cosmological constant. The calculation is performed in the extended loop representation, a generalization of the loop representation. It is shown that the the Hamiltonian does not annihilate the third coefficient of the Jones polynomal (J3J_3) for general extended loops. For ordinary loops the result acquires an interesting geometrical meaning and new possibilities appear for J3J_3 to represent a quantum state of gravity.Comment: 22 page
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