Electron streaking in the autoionization region of H2

We use a UV-pump/IR-probe scheme, combining a single attosecond UV pulse and a 750 nm IR pulse, to explore laser-assisted photoionization of the hydrogen molecule in the autoionization region. The electron energy distributions exhibit unusual streaking patterns that are explored for different angles of the electron ejection with respect to the polarization vector and the molecular axis. Moreover, by controlling the time delay between the pulses, we observe that one can suppress the autoionization channe

Molecular interferometer using XUV attosecond pulses to unravel electron and nuclear dynamics

Two identical XUV attosecond pulses interact with the hydrogen molecule creating an interferometer resulting from the direct and sequential two-photon absorption paths reaching the same final ionized states. The dependence of the ionization yields with the time delay between the pulses allows to reconstruct the pumped vibronic (electronic and vibrational) wave packet created in the singly excited states of the molecule. The use of XUV pulses avoids a laser-induced distortion of the molecular potential, ensuring the characterization of the intrinsic behaviour of the syste

Wave packet dynamics in molecular excited electronic states

We theoretically explore the use of UV pump-UV probe schemes to resolve in time the dynamics of nuclear wave packets in excited electronic states of the hydrogen molecule. The pump pulse ignites the dynamics in singly excited states, that will be probed after a given time delay by a second identical pulse that will ionize the molecule. The field-free molecular dynamics is first explored by analyizing the autocorrelation function for the pumped wave packet and the excitation probabilities. We investigate both energy and angle differential ionization probabilities and demonstrate that the asymmetry induced in the electron angular distributions gives a direct map of the time evolution of the pumped wave packe

Clocking ultrafast wave packet dynamics in molecules through UV-induced symmetry breaking

We investigate the use of UV-pump–UV-probe schemes to trace the evolution of nuclear wave packets in excited molecular states by analyzing the asymmetry of the electron angular distributions resulting from dissociative ionization. The asymmetry results from the coherent superposition of gerade and ungerade states of the remaining molecular ion in the region where the nuclear wave packet launched by the pump pulse in the neutral molecule is located. Hence, the variation of this asymmetry with the time delay between the pump and the probe pulses parallels that of the moving wave packet and, consequently, can be used to clock its field-free evolution. The performance of this method is illustrated for the H2 moleculeThis work was accomplished with an allocation of computer time from Mare Nostrum BSC and CCC-UAM, and was partially supported by the MICINN Projects No. FIS2010-15127, No. ACI2008-0777 and No. CSD 2007-00010, the ERA-Chemistry Project No. PIM2010EEC-00751, the European grants MC-ITN CORINF and MC-RG ATTOTREND, the European COST Action CM0702, and the Advanced Grant of the European Research Council XCHEM 290853. A. P. acknowledges a Juan de la Cierva contract grant from MICIN

CAST: using neural networks to improve trading systems based on technical analysis by means of the RSI financial indicator

Stock price predictions have been a field of study from several points of view including, among others, artificial intelligence and expert systems. For short term predictions, the technical indicator relative strength indicator (RSI) has been published in many papers and used worldwide. CAST is presented in this paper. CAST can be seen as a set of solutions for calculating the RSI using arti ficial intelligence techniques. The improvement is based on the use of feedforward neural networks to calculate the RSI in a more accurate way, which we call the iRSI. This new tool will be used in two sce narios. In the first, it will predict a market in our case, the Spanish IBEX 35 stock market. In the second, it will predict single company values pertaining to the IBEX 35. The results are very encouraging and reveal that the CAST can predict the given market as a whole along with individual stock pertaining to the IBEX 35 index.This work is supported by the Spanish Ministry of Industry, Tourism, and Commerce under the EUREKA project SITIO (TSI- 020400-2009-148), SONAR2 (TSI-020100-2008-665), INNOVA 3.0 (TSI-020100-2009-612) and GO2 (TSI-020400-2009-127).Publicad

Uso de medidas profilácticas acorde a clasificación de riesgo de trombo embolismo venoso y morbilidad de trombosis venosa profunda en los servicios clínicos y quirúrgicos del Hospital Enrique Garcés Quito durante mayo a julio 2015

La trombosis venosa profunda (TVP), en conjunto con el tromboembolismo pulmonar (TEP), se considera una sola patología denominada enfermedad tromboembólica venosa (ETV), la que consiste en la formación de trombos como resultado de diferentes factores que alteran la armonía de la triada de Virchow. Esta patología puede ser prevenida con una correcta valoración de riesgo que presentan los pacientes, y el empleo de medidas profilácticas adecuadas. OBJETIVO Evaluar la morbilidad de trombosis venosa profunda aguda, posterior al uso de profilaxis antitrombótica empleada en los servicios clínicos y quirúrgicos del Hospital Enrique Garcés, entre los meses de Mayo a Julio del año 2015 MÉTODOS Tipo de estudio prospectivo, transversal, analítico y observacional, tamaño de la muestra 219 pacientes hospitalizados en los Servicios de Medicina Interna, Cirugía General, Cirugía Vascular, Urología y Traumatología del Hospital Enrique Garcés, entre los meses de Mayo a Julio del año 2015. Por medio de la historia clínica se obtendrán las medidas trombo profilácticas que fueron utilizadas, seguido de una entrevista al paciente, con lo cual se calificará el riesgo de ETV y valoración del riesgo de sangrado. Al finalizar su estancia hospitalaria se aplicará la escala de Wells dando seguimiento a los pacientes que presenten escala de Wells > 1 punto, en los que se realizará una ecografía de miembros inferiores, para establecer la morbilidad de trombosis venosa profunda. Para el análisis de datos se empleó el programa SPSS statistics visor y OPENINFO

Improving N calculation of the RSI financial indicator using neural networks

Proceeding of: 2010 2nd IEEE International Conference on Information and Financial Engineering (ICIFE 2010), 17-19 September 2010, Chongqing, China 2010Trading and Stock Behavioral Analysis Systems require efficient Artificial Intelligence techniques for analyzing large financial datasets and have become in the current economic landscape a significant challenge for multi disciplinary research. Particularly, Trading oriented Decision Support Systems based on the Chartist or Technical Analysis Relative Strength Indicator (RSI) have been published and used worldwide. However, its combination with Neural Networks as a branch of evolutionary computing which can outperform previous results remain a relevant approach which has not deserved enough attention. In this paper, we present the Chartist Analysis Platform for Trading (CAST, in short) platform, a proof of concept architecture and implementation of a Trading Decision Support System based on the RSI N value calculation and Feed Forward Neural Networks (FFNN). CAST provides a set of relatively more accurate financial decisions yielded by the combination of Artificial Intelligence techniques to the N calculation for RSI and a more precise and improved upshot obtained from feed forward algorithms application to stock value datasets.This work is supported by the Spanish Ministry of Industry, Tourism, and Commerce under the project GODO2 (TSI- 020100-2008-564) and SONAR2 (TSI-020100-2008- 665), under the PIBES project of the Spanish Committee of Education & Science (TEC2006-12365-C02-01) and the MID-CBR project of the Spanish Committee of Education & Science (TIN2006-15140-C03-02). Furthermore, this work is supported by the General Council of Superior Technological Education of Mexico (DGEST). Additionally, this work is sponsored by the National Council of Science and Technology (CONACYT) and the Public Education Secretary (SEP) through PROMEPPublicad