Some aspects of electrical conduction in granular systems of various dimensions

We report on measurements of the electrical conductivity in both a 2D triangular lattice of metallic beads and in a chain of beads. The voltage/current characteristics are qualitatively similar in both experiments. At low applied current, the voltage is found to increase logarithmically in a good agreement with a model of widely distributed resistances in series. At high enough current, the voltage saturates due to the local welding of microcontacts between beads. The frequency dependence of the saturation voltage gives an estimate of the size of these welded microcontacts. The DC value of the saturation voltage (~ 0.4 V per contact) gives an indirect measure of the number of welded contact carrying the current within the 2D lattice. Also, a new measurement technique provides a map of the current paths within the 2D lattice of beads. For an isotropic compression of the 2D granular medium, the current paths are localized in few discrete linear paths. This quasi-onedimensional nature of the electrical conductivity thus explains the similarity between the characteristics in the 1D and 2D systems.Comment: To be published in The European Physical Journal

Effects of electromagnetic waves on the electrical properties of contacts between grains

A DC electrical current is injected through a chain of metallic beads. The electrical resistances of each bead-bead contacts are measured. At low current, the distribution of these resistances is large and log-normal. At high enough current, the resistance distribution becomes sharp and Gaussian due to the creation of microweldings between some beads. The action of nearby electromagnetic waves (sparks) on the electrical conductivity of the chain is also studied. The spark effect is to lower the resistance values of the more resistive contacts, the best conductive ones remaining unaffected by the spark production. The spark is able to induce through the chain a current enough to create microweldings between some beads. This explains why the electrical resistance of a granular medium is so sensitive to the electromagnetic waves produced in its vicinity.Comment: 4 pages, 5 figure

Definition, Explanation, and Scientific Method in Aristotle’s De somno

Exploring the systematic connections between Aristotle's theory and practice of science has emerged as an important concern in recent years. On the one hand, we can invoke the theory of the Posterior Analytics to motivate specific moves that Aristotle makes in the course of his actual investigation of the natural world. On the other, we can use Aristotle's practice of science to illuminate the theory of the Posterior Analytics, which is presented in a notoriously abstract, and at times also elliptical, way. I would like to contribute to this interpretative tradition with a study of how Aristotle explains the phenomenon of sleep and waking

Ripples in Tapped or Blown Powder

We observe ripples forming on the surface of a granular powder in a container submitted from below to a series of brief and distinct shocks. After a few taps, the pattern turns out to be stable against any further shock of the same amplitude. We find experimentally that the characteristic wavelength of the pattern is proportional to the amplitude of the shocks. Starting from consideration involving Darcy's law for air flow through the porous granulate and avalanche properties, we build up a semi-quantitative model which fits satisfactorily the set of experimental observations as well as a couple of additional experiments.Comment: 7 pages, four postscript figures, submitted PRL 11/19/9

Metaverse Retrieval: Finding the Best Metaverse Environment via Language

In recent years, the metaverse has sparked an increasing interest across the globe and is projected to reach a market size of more than \1000B by 2030. This is due to its many potential applications in highly heterogeneous fields, such as entertainment and multimedia consumption, training, and industry. This new technology raises many research challenges since, as opposed to the more traditional scene understanding, metaverse scenarios contain additional multimedia content, such as movies in virtual cinemas and operas in digital theaters, which greatly influence the relevance of the metaverse to a user query. For instance, if a user is looking for Impressionist exhibitions in a virtual museum, only the museums that showcase exhibitions featuring various Impressionist painters should be considered relevant. In this paper, we introduce the novel problem of text-to-metaverse retrieval, which proposes the challenging objective of ranking a list of metaverse scenarios based on a given textual query. To the best of our knowledge, this represents the first step towards understanding and automating cross-modal tasks dealing with metaverses. Since no public datasets contain these important multimedia contents inside the scenes, we also collect and annotate a dataset which serves as a proof-of-concept for the problem. To establish the foundation for it, we implement and analyze several solutions based on deep learning, whereas to promote transparency and reproducibility, we will publicly release their source code and the collected data