A way of decoupling gravitational sources in pure Lovelock gravity

We provide an algorithm that shows how to decouple gravitational sources in Pure Lovelock gravity. This method allows to obtain several new and known analytic solutions of physical interest in scenarios with extra dimensions and with presence of higher curvature terms. Furthermore, using our method, it is shown that applying the minimal geometric deformation to the Anti de Sitter space time it is possible to obtain regular black hole solutions.Comment: Accepted for publication in Eur.Phys.J.

Thermodynamic extended phase space and P−VP-V criticality of black holes at Pure Lovelock gravity

In this work the \textit{chemistry} of asymptotically AdS black hole, charged and uncharged, solutions of Pure Lovelock gravity is discussed. For this the mass parameter of black holes is identified with the enthalpy of the system together with the promotion of the cosmological constant to a thermodynamics variable proportional to the \textit{pressure} of the system. The equations of state for both, charged and uncharged, are obtained. It is shown that the charged case behaves as a Van der Waals fluid. The existence of a first order phase transition between small stable/large stable black hole, which is a reminiscent of the liquid/gas transition, is found. The critical exponents of the thermal evolution, for different cases of interest, are similar to those of the Van der Waals fluid

Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication

This paper proposes a computational approach for analysis of strokes in line drawings by artists. We aim at developing an AI methodology that facilitates attribution of drawings of unknown authors in a way that is not easy to be deceived by forged art. The methodology used is based on quantifying the characteristics of individual strokes in drawings. We propose a novel algorithm for segmenting individual strokes. We designed and compared different hand-crafted and learned features for the task of quantifying stroke characteristics. We also propose and compare different classification methods at the drawing level. We experimented with a dataset of 300 digitized drawings with over 80 thousands strokes. The collection mainly consisted of drawings of Pablo Picasso, Henry Matisse, and Egon Schiele, besides a small number of representative works of other artists. The experiments shows that the proposed methodology can classify individual strokes with accuracy 70%-90%, and aggregate over drawings with accuracy above 80%, while being robust to be deceived by fakes (with accuracy 100% for detecting fakes in most settings)

Result s of Experimental Researches of Plant Material Twin-Screw Compactor

The usage of latest technological means of plant material compaction will reduce production costs by saving the livestock nutrients during a storage period. The results of twin-screw compactor experimental researches are presented. They will enable to reduce production costs by saving livestock nutrients during storage. The data will provide plant material with high output density avoiding the relaxation effect. Mathematical equations of productivity, power capacity and energy intensity are given depending on the design and kinematic parameters. Surfaces of mathematical equations’ responses are also presented

STATA und R: eine Gegenüberstellung

Die Kapitel der Regressionsschätzung, Paneldatenanalyse, der multivariaten Datenanlyse, Survey- und Survivalanalyse, so wie Zeitreihenanlyse werden anhand einer tabellarischen Auflistung von entsprechenden STATA und R-Befehlen vorgestellt. Dabei kann die gewählte Vorgehensweise in STATA zu einem Großteil in R übersetzt und nachvollzogen werden