Modeling the electrophoretic deposition of colloidal particles

This letter presents the results of numerical simulations of the buildup of a layer of colloidal particles on an electrode. In a low-frequency electric field, particles suspended in a low-conductivity liquid migrate to one electrode and then to the other. During each cycle, deposits are formed and dissipated. The current-voltage characteristics of the process reflect properties of the suspension and the deposited layer. Using a flux corrected transport (FCT) algorithm, the transport equation for the particle phase is solved simultaneously with equations describing the electric field. The model reproduces the main features of the current-voltage relation.Ministerio de Ciencia y Tecnología BFM2000-105

The charged bouncing ball: An experimental model for period-doubling bifurcation

This paper presents an experimental and theoretical study of the dynamics of a conducting ball in a poorly conducting liquid subjected to an electric field. When the applied voltage is constant the ball bounces regularly on the lower electrode. If an AC voltage is superimposed, with a period equal to the unperturbed time between impacts, the ball undergoes a period-doubling bifurcation when increasing the amplitude of the AC signal. The non-linear map which describes the dynamics of the ball is closely related to the standard map and to the classical problem of a bouncing ball on a moving table.Dirección General de Investigación Científica y Técnica (DGICYT) PB93-118

Left-right symmetric model with μ↔τ\mu\leftrightarrow\tau symmetry

We analyze the leptonic sector in the left-right symmetric model dressed with a $(Z_{2})^{3}$ discrete symmetry which realizes, after weak spontaneous breaking, a small broken \mu\lra\tau symmetry that is suggested to explain observable neutrino oscillation data. \mu\lra\tau symmetry is broken at tree level in the effective neutrino mass matrix due to the mass difference $\widetilde{m}_{\tau}\neq \widetilde{m}_{\mu}$ in the diagonal Dirac mass terms, whereas all lepton mixings arise from a Majorana mass matrix. In the limit of a small breaking we determined $\theta_{13}$, and the deviation from the maximal value of $\theta_{ATM}$, in terms of the light neutrino hierarchy scale, $m_{3}$, and a single free parameter $h_{s}$ of the model.Comment: 9 pages, 4 figures. Title changed and we have added one new section: CP phase contribution. Minor corrections and references updated. Published versio

X-Ray Crystal Structures of Two Monopentamethylcyclopentadienylhafnium(IV) Complexes

The crystal structures of two monopentamethylcyclopentadienyl-hafnium(IV) derivatives have been determined by X-ray diffraction analysis. The [Hf(eta5-C5Me5)Cl3] complex (I) crystallizes as a dimer in the monoclinic space group C2/c with Z = 8. The structure of I is described as two {Hf(eta5-C5Me5)Cl2} units linked by two bridging chloride ligands. The [{Hf(eta5-C5Me5)Cl}3(mu-Cl)4(mu3-O)] complex (II) crystallizes in the monoclinic space group Cc with Z = 4. The structure of II is described as three {Hf(eta5-C5Me5)Cl} moieties connected by one or two bridging mu-chloride ligands and an additional mu3-oxide group. The hitherto unknown compound II has also been characterized by spectroscopic and analytical methods. In the solid state, the molecules of both derivatives are linked by C-H···Cl hydrogen bonds and C-H···pi interactions, providing an alternating layered pattern.Universidad de Alcal

Municipal water demand forecasting: Tools for intervention time series

This article introduces some approaches to common issues arising in real cases of water demand prediction. Occurrences of negative data gathered by the network metering system and demand changes due to closure of valves or changes in consumer behavior are considered. Artificial neural networks (ANNs) have a principal role modeling both circumstances. First, we propose the use of ANNs as a tool to reconstruct any anomalous time series information. Next, we use what we call interrupted neural networks (I-NN) as an alternative to more classical intervention ARIMA models. Besides, the use of hybrid models that combine not only the modeling ability of ARIMA to cope with the time series linear part, but also to explain nonlinearities found in their residuals, is proposed. These models have shown promising results when tested on a real database and represent a boost to the use and the applicability of ANNs.This work has been supported by project IDAWAS, DPI2009-11591, of the Direccion General de Investigacion of the Ministerio de Ciencia e Innovacion of Spain, and ACOMP/2010/146 of the Conselleria de Educacion of the Generalitat Valenciana. As well, the authors are grateful to "Aguas de Murcia" for the collaboration in this work and for the availability of the data.This work has been supported by project IDAWAS, DPI2009-11591, of the Direccion General de Investigacion of the Ministerio de Ciencia e Innovacion of Spain, and ACOMP/2010/146 of the Conseller a de Educacion of the Generalitat Valenciana. As well, the authors are grateful to "Aguas de Murcia" for the collaboration in this work and for the availability of the data.Herrera Fernández, AM.; García-Díaz, JC.; Izquierdo Sebastián, J.; Pérez García, R. (2011). Municipal water demand forecasting: Tools for intervention time series. Stochastic Analysis and Applications. 29(6):998-1007. https://doi.org/10.1080/07362994.2011.610161S9981007296Zhou, S. ., McMahon, T. ., Walton, A., & Lewis, J. (2002). Forecasting operational demand for an urban water supply zone. Journal of Hydrology, 259(1-4), 189-202. doi:10.1016/s0022-1694(01)00582-0Bougadis, J., Adamowski, K., & Diduch, R. (2005). Short-term municipal water demand forecasting. Hydrological Processes, 19(1), 137-148. doi:10.1002/hyp.5763Jain, A., & Ormsbee, L. E. (2002). Short-term water demand forecast modeling techniques-CONVENTIONAL METHODS VERSUS AI. Journal - American Water Works Association, 94(7), 64-72. doi:10.1002/j.1551-8833.2002.tb09507.xPeña, D., Tiao, G. C., & Tsay, R. S. (Eds.). (2000). A Course in Time Series Analysis. Wiley Series in Probability and Statistics. doi:10.1002/9781118032978et al. 2000 . Mining Time Series of Meteorological Variables Using Rough Sets—A Case Study, Binding Environmental Sciences and Artificial Intelligent. BESAI 2000, Germany, 7:1–8.Herrera, M., Torgo, L., Izquierdo, J., & Pérez-García, R. (2010). Predictive models for forecasting hourly urban water demand. Journal of Hydrology, 387(1-2), 141-150. doi:10.1016/j.jhydrol.2010.04.005McLeod, A. I., & Vingilis, E. R. (2005). Power Computations for Intervention Analysis. Technometrics, 47(2), 174-181. doi:10.1198/004017005000000094Box, G. E. P., & Tiao, G. C. (1975). Intervention Analysis with Applications to Economic and Environmental Problems. Journal of the American Statistical Association, 70(349), 70-79. doi:10.1080/01621459.1975.10480264Zhang, G. P., & Qi, M. (2005). Neural network forecasting for seasonal and trend time series. European Journal of Operational Research, 160(2), 501-514. doi:10.1016/j.ejor.2003.08.037Zealand, C. M., Burn, D. H., & Simonovic, S. P. (1999). Short term streamflow forecasting using artificial neural networks. Journal of Hydrology, 214(1-4), 32-48. doi:10.1016/s0022-1694(98)00242-xWang, W., Gelder, P. H. A. J. M. V., Vrijling, J. K., & Ma, J. (2006). Forecasting daily streamflow using hybrid ANN models. Journal of Hydrology, 324(1-4), 383-399. doi:10.1016/j.jhydrol.2005.09.032Kneale , P. , See , L. , and Smith , A. 2001 .Towards Defining Evaluation Measures for Neural Network Forecasting Models; Proceedings of the Sixth International Conference on GeoComputation, University of Queensland, Australia.Peña, D., & Rodríguez, J. (2002). A Powerful Portmanteau Test of Lack of Fit for Time Series. Journal of the American Statistical Association, 97(458), 601-610. doi:10.1198/016214502760047122Peña, D., & Rodríguez, J. (2006). The log of the determinant of the autocorrelation matrix for testing goodness of fit in time series. Journal of Statistical Planning and Inference, 136(8), 2706-2718. doi:10.1016/j.jspi.2004.10.026LJUNG, G. M., & BOX, G. E. P. (1978). On a measure of lack of fit in time series models. Biometrika, 65(2), 297-303. doi:10.1093/biomet/65.2.297MONTI, A. C. (1994). A proposal for a residual autocorrelation test in linear models. Biometrika, 81(4), 776-780. doi:10.1093/biomet/81.4.77

Integrating Provenance Capture and UML with UML2PROV: Principles and Experience

This document contains supplementary material for the paper entitled ''Integrating Provenance Capture and UML with UML2PROV: Principles and Experience'', submitted for publication in TSE

Heterometallic complexes with cube-type [MTi3N4] cores containing Group 10 metals in a variety of oxidation states

Treatment of [{Ti(η5-C5Me5)(μ-NH)}3(μ3-N)] (1) with one equivalent of [Ni(cod)2] (cod = 1,5-cyclooctadiene) in toluene at 60-80°C and subsequent addition of diphenylacetylene, trans-stilbene or triphenylphosphane afforded the nickel(0) complexes [LNi{(μ3-NH)3Ti3(η5-C5Me5)3(μ3-N)}] (L = PhCCPh (2), PhCHCHPh (3), PPh3 (4)). The nickel(ii) complex [I2Ni{(μ3-NH)3Ti3(η5-C5Me5)3(μ3-N)}] (5) was prepared by analogous addition of iodine to the solution obtained from the heating of 1 and [Ni(cod)2]. Treatment of 1 with one equivalent of [Pd(dba)2] (dba = dibenzylideneacetone) in toluene at room temperature led to the palladium(0) complex [(dba)Pd{(μ3-NH)3Ti3(η5-C5Me5)3(μ3-N)}] (6). Compound 6 reacted immediately with chloroform-d1 to give the palladium dichloride derivative [Cl2Pd{(μ3-NH)2Ti3(η5-C5Me5)3(μ-NH)(μ3-N)}] (7), which was prepared by treatment of 1 with [PdCl2(cod)] at room temperature. Addition of iodine to a toluene solution of 6 afforded the analogous palladium(ii) derivative [I2Pd{(μ3-NH)2Ti3(η5-C5Me5)3(μ-NH)(μ3-N)}] (8). Complex 6 reacted with two equivalents of dimethylacetylenedicarboxylate (dmad) to give the metallacyclopentadiene palladium(ii) complex [{(MeOOC)4C4}Pd{(μ3-NH)2Ti3(η5-C5Me5)3(μ-NH)(μ3-N)}] (9) via oxidative coupling. The treatment of 1 with [Pt(nbe)3] (nbe = norbornene) in toluene at room temperature gave the platinum(0) complex [(nbe)Pt{(μ3-NH)3Ti3(η5-C5Me5)3(μ3-N)}] (10). Compound 10 reacted with excess iodine to afford the platinum(iv) ionic derivative [I3Pt{(μ3-NH)3Ti3(η5-C5Me5)3(μ3-N)}]2(I3)(I5) (11) via an intermediate platinum(ii) complex [I2Pt{(μ3-NH)2Ti3(η5-C5Me5)3(μ-NH)(μ3-N)}] (12). The X-ray crystal structures of 5, 8, 9 and 11 have been determined.Ministerio de Ciencia e Innovación de España, Universidad de Alcalá, Ministerio de Educación y Ciencia de Españ

First report of Cylindrocladiella parva and C. peruviana associated with black-foot disease of grapevine in Spain

Agusti Brisach, C.; Alaniz, S.; Gramaje Pérez, D.; Pérez Sierra, AM.; Armengol Fortí, J.; Landeras, E.; Izquierdo, PM. (2012). First report of Cylindrocladiella parva and C. peruviana associated with black-foot disease of grapevine in Spain. Plant Disease. 96(9):1381-1382. doi:10.1094/PDIS-04-12-0410-PDNS1381138296

Softly broken μ↔τ\mu\leftrightarrow\tau symmetry in the minimal see-saw model

Neutrino oscillations data indicates that neutrino mixings are consistent with an apparent $\nu_\mu - \nu_\tau$ exchange symmetry in neutrino mass matrix. We observe that in the mininimally extended standard model with the see-saw mechanism, one can impose $\mu\leftrightarrow\tau$ symmetry at the tree level on all Lagrangian terms, but for the mass difference among $\mu$ and $\tau$ leptons. In the absence of any new extra physics, this mass difference becomes the only source for the breaking of such a symmetry, which induces, via radiative corrections, small but predictable values for $\theta_{13}$, and for the deviation of $\theta_{ATM}$ from maximallity. In the CP conserving case, the predictions only depend on neutrino mass hierarchy and may provide a unique way to test for new physics with neutrino experiments.Comment: Typos corrected. References and short discussions added. Final version, 6 pages, 2 figure