Optimal design of pipes in series: An explicit approximation

This paper introduces a new methodology for the optimum design of pipes in series, named Optimum Hydraulic Grade Line (OHGL). This methodology is explicit and is based on the knowledge of the series topology and the geometrical distribution of water demands on nodes, i.e. the way in which the pipe in series delivers water mass as function of the distance from the entrance. OHGL consists in the pre-determination of that hydraulic grade line which gives the minimum construction cost, in an explicit way. Once this line has been established, calculation of the pipe’s continuous diameters is direct; after a round up to commercial diameters is developed. To validate the proposed methodology, several pipes in series were designed both using GA and OHGL. Four hundred series were used in total, each with different topological characteristics and demands. Keywords: Pipe in series, optimum design, genetic algorithms, optimum hydraulic grade line

Efficient Cluster Algorithm for Spin Glasses in Any Space Dimension

Spin systems with frustration and disorder are notoriously difficult to study both analytically and numerically. While the simulation of ferromagnetic statistical mechanical models benefits greatly from cluster algorithms, these accelerated dynamics methods remain elusive for generic spin-glass-like systems. Here we present a cluster algorithm for Ising spin glasses that works in any space dimension and speeds up thermalization by at least one order of magnitude at temperatures where thermalization is typically difficult. Our isoenergetic cluster moves are based on the Houdayer cluster algorithm for two-dimensional spin glasses and lead to a speedup over conventional state-of-the-art methods that increases with the system size. We illustrate the benefits of the isoenergetic cluster moves in two and three space dimensions, as well as the nonplanar chimera topology found in the D-Wave Inc.~quantum annealing machine.Comment: 5 pages, 4 figure

Rhodium and copper 6-methylpicolinate complexes. Structural diversity and supramolecular interaction study

Seven new coordination compounds with 6-methylpicolinic acid (6-HMepic) and rhodium(III) or copper(II) of formula [Rh(6-Mepic)3] (1), [Rh(6-Mepic)2(H2O)Cl] (2), [Rh(6-HMepic)(6-Mepic)Cl2]·3.5(H2O) (3), [Cu(6-Mepic)2(H2O)]·H2O (4), [Cu(6-Mepic)2]n, (5), [Cu(6-Mepic)(6-HMepic)I] (6) and [Cu(6-Mepic)(6-HMepic)Cl] (7) have been obtained. Their syntheses have been rationalized, and their structural and supramolecular characteristics have been studied and compared with other similar rhodium and copper picolinate complexes previously reported, in order to stablish structural correlations and analogies. The electrical properties of coordination polymer [Cu(6-Mepic)2]n (5) have been also analyzed and it has been found that it shows a moderated electrical transport along the chain.We thank the financial support from the Spanish Ministerio de Economía y Competitividad (MAT2013-46502-C2-2P and MAT2013-46753-C2-1P). Also the scientific computing center (CCC) of the Autonoma University of Madrid for their tim

Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks

A model for multivariate streamflow generation is presented, based on a multilayer feedforward neural network. The structure of the model results from two components, the neural network (NN) deterministic component and a random component which is assumed to be normally distributed. It is from this second component that the model achieves the ability to incorporate effectively the uncertainty associated with hydrological processes, making it valuable as a practical tool for synthetic generation of streamflow series. The NN topology and the corresponding analytical explicit formulation of the model are described in detail. The model is calibrated with a series of monthly inflows to two reservoir sites located in the Tagus River basin (Spain), while validation is performed through estimation of a set of statistics that is relevant for water resources systems planning and management. Among others, drought and storage statistics are computed and compared for both the synthetic and historical series. The performance of the NN-based model was compared to that of a standard autoregressive AR(2) model. Results show that NN represents a promising modelling alternative for simulation purposes, with interesting potential in the context of water resources systems management and optimisation.</p> <p style='line-height: 20px;'><b>Keywords: </b>neural networks, perceptron multilayer, error backpropagation, hydrological scenario generation, multivariate time-series.</p>

Re-membering Lesbian Desire in \u3cem\u3eBelle Epoque\u3c/em\u3e, \u3cem\u3eSoldados de Salamina\u3c/em\u3e, and \u3cem\u3eLas Trece Rosas\u3c/em\u3e

The presidency of Jose Luis Zapatero Rodriguez has seen significant legisla tion in Spain that includes the legalization of same-sex marriage in 2005 and La ley de la memoria historica in 2007.1 Upon consideration of the changes in Spain during the first decade of the twenty-first century, we as critics must pause to consider how literature and film respond to the topics of homosexuality and history. Since the death of Franco in 1975, writers and directors have created a significant body of films and literature that uncovers previously prohibited topics in order to make, the once hidden visible (Creekmur and Doty 4). The laws of historical memory and same-sex marriage aim at overcoming the inequality experienced by homosexuals and the victims of Francoist repression. Inspired by these changes in Spain, I propose to examine the portrayal of lesbian desire in Belle Epoque (Fernando Trueba, 1992), Soldados de Salamina (David Trueba, 2003), and Las trece rosas (Jesus Ferrero, 2003).

Differences in use of Metaphor between Narrative and Non-narrative Texts

Metaphors are widespread in human language and are used in all types of text. One of the most common text types are narratives, which share a number of unique structural traits which distinguish them from non-narrative types. We investigate if there is any difference in the use of metaphor between narrative and non-narrative texts. We first created a Java API to interface with the Vienna University Annotated Metaphor Corpus (VUAMC), which provides four different types of text (three non-narrative and one narrative) with word-by-word annotations of metaphor occurrences. We then contrasted narrative and non-narrative texts by calculating several similarity measures, including the intra-textual and inter-textual cosine similarity with regard to both lemmas and wordforms, as well as the Jaccard Index with respect to the metaphor lexicon. We also calculated the set of the metaphor lemmas common to each class, as well as the prevalence of the different metaphor types. The difference between narrative and non-narrative texts is most noticeable in (1) the most common metaphor lemmas, which vary widely even among the different types of non-narrative text, and (2) the most common metaphor types. We investigate the extent to which these differences may be a result of topical variation among the text types. This investigation is the first step in a research project to build a system which automatically detects metaphors. Such a system could be used to improve word-sense disambiguation in Natural Language Processing, and to enhance understanding of the meaning of the narrative texts