Das befreite Jerusalem : Oratorium in zwei Abtheilungen

Musik von F. Schneider. Gedicht von F. Gelbke

Sammlung des Volks Gottes und Bau des Tempels in Jerusalem

... hrsg. und mit einem Vor- und Schlußwort begleitet von Christoph Paulus

Post-biblical history of the Jews : from the close of the Old Testament, about the year 420 B.C.E. till the destruction of the second temple, in the year 70 C.E. ; in two volumes

by Morris J. Raphall

Rom und Jerusalem, die letzte Nationalitätsfrage : Briefe und Noten

von M. Heß

Bericht von dem Juden aus Jerusalem mit Nahmen Ahasverus, welcher vorgiebt, er sey bey der Creutzigung Christi gewesen, und bis hieher durch die Allmacht Gottes beym Leben erhalten worden : Hierbey ist auch ein Bericht von den zwölf jüdischen Stämmen, was ein jeder Stamm dem Herrn Christo zur Schmach angethan, und was sie dafür leiden müssen

"Katalog der Judaica and Hebraica, Stadtbibliothek Frankfurt am Main," S. 316

Jerusalem, die Opfer und die Orgel

Moritz Güdemann

The CDG, UDG, and MEL methods for automatic compile-time parallelization of logic programs for independent and-parallelism

There has been significant interest in parallel execution models for logic programs which exploit Independent And-Parallelism (IAP). In these models, it is necessary to determine which goals are independent and therefore eligible for parallel execution and which goals have to wait for which others during execution. Although this can be done at run-time, it can imply a very heavy overhead. In this paper, we present three algorithms for automatic compiletime parallelization of logic programs using IAP. This is done by converting a clause into a graph-based computational form and then transforming this graph into linear expressions based on &-Prolog, a language for IAP. We also present an algorithm which, given a clause, determines if there is any loss of parallelism due to linearization, for the case in which only unconditional parallelism is desired. Finally, the performance of these annotation algorithms is discussed for some benchmark programs.

Plano del lago de Almenara [Material gráfico] = Plan de lac Almenara = Plan of the lake of Almenara ; Fragmentos de un templo cerca del lago de Almenara = Fragments d'un temple prés du lac d'Almenara = Fragments of a temple near the lake of Almenara

Estampada en la misma hoja con el grabado de "Vista de Almenara, tomada de Murviedro" y con huella de plancha común (53'5 x 31'5 cm)

Sie brachten Jhn nach Jerusalem, um jhn dem Herm darzustellen, Luc. 2, 22 = Ils portérent l'enfant a Jerusalem, pour le presenter au Seigneur, Luc. 2, 22 = They carried him to Jerusalem to present him to the Lord, Luc. 2, 22 [Material gráfico]=]

Resumen: Descripción: escena donde María y José ofrendan a Jesús en el Templo

Neurite, a finite difference large scale parallel program for the simulation of the electrical signal propagation in neurites under mechanical loading

With the growing body of research on traumatic brain injury and spinal cord injury, computational neuroscience has recently focused its modeling efforts on neuronal functional deficits following mechanical loading. However, in most of these efforts, cell damage is generally only characterized by purely mechanistic criteria, function of quantities such as stress, strain or their corresponding rates. The modeling of functional deficits in neurites as a consequence of macroscopic mechanical insults has been rarely explored. In particular, a quantitative mechanically based model of electrophysiological impairment in neuronal cells has only very recently been proposed (Jerusalem et al., 2013). In this paper, we present the implementation details of Neurite: the finite difference parallel program used in this reference. Following the application of a macroscopic strain at a given strain rate produced by a mechanical insult, Neurite is able to simulate the resulting neuronal electrical signal propagation, and thus the corresponding functional deficits. The simulation of the coupled mechanical and electrophysiological behaviors requires computational expensive calculations that increase in complexity as the network of the simulated cells grows. The solvers implemented in Neurite-explicit and implicit-were therefore parallelized using graphics processing units in order to reduce the burden of the simulation costs of large scale scenarios. Cable Theory and Hodgkin-Huxley models were implemented to account for the electrophysiological passive and active regions of a neurite, respectively, whereas a coupled mechanical model accounting for the neurite mechanical behavior within its surrounding medium was adopted as a link between lectrophysiology and mechanics (Jerusalem et al., 2013). This paper provides the details of the parallel implementation of Neurite, along with three different application examples: a long myelinated axon, a segmented dendritic tree, and a damaged axon. The capabilities of the program to deal with large scale scenarios, segmented neuronal structures, and functional deficits under mechanical loading are specifically highlighted.