Matrix estimation using matrix forgetting factor and instrumental variable for nonstationary sequences with time variant matrix gain

Consider us the problem of time-varying parameter estimation. The most immediate and simple idea is to include a discounting procedure in an estimation algorithm i.e., a procedure for discarding (forgetting) old information. The most common way to do is to introduce an exponential forgetting factor (FF) into the corresponding estimation procedure (to see: Ljung and Gunnarson (1990)). In this paper, the authors going to describe a good enough estimator considering a system with nonstationary time variant properties with respect to input and output qualities. The techniques used are Instrumental Variable (IV) and Matrix Forgetting Factor (MFF). The results previously obtained by (Poznyak and Medel 1999a, 1999b) were the basis of this paper. The theoretical description illustrates the advantages with respect to others filters below cited.Eje: IV - Workshop de procesamiento distribuido y paraleloRed de Universidades con Carreras en Informática (RedUNCI

Matrix estimation using matrix forgetting factor and instrumental variable for nonstationary sequences with time variant matrix gain

Consider us the problem of time-varying parameter estimation. The most immediate and simple idea is to include a discounting procedure in an estimation algorithm i.e., a procedure for discarding (forgetting) old information. The most common way to do is to introduce an exponential forgetting factor (FF) into the corresponding estimation procedure (to see: Ljung and Gunnarson (1990)). In this paper, the authors going to describe a good enough estimator considering a system with nonstationary time variant properties with respect to input and output qualities. The techniques used are Instrumental Variable (IV) and Matrix Forgetting Factor (MFF). The results previously obtained by (Poznyak and Medel 1999a, 1999b) were the basis of this paper. The theoretical description illustrates the advantages with respect to others filters below cited.Eje: IV - Workshop de procesamiento distribuido y paraleloRed de Universidades con Carreras en Informática (RedUNCI

Un modelo dinámico para el arribo de tareas en tiempo real

Para el estudio de Sistemas en Tiempo Real es necesario conocer el comportamiento de las tareas que lo forman; esto es para aprovechar al máximo los recursos mediante planificadores y conocer el comportamiento del sistema ante diversas situaciones (predictibilidad). Diversos autores han desarrollado modelos de Tareas en Tiempo Real (TTR), sin embargo estos modelos son estáticos y no brindan mucha información del arribo de las mismas. En este documento se propone un modelo dinámico general para tiempos de arribo absolutos basado en un Modelo Recursivo con Promedios Móviles (MRPM) que incluye perturbaciones internas y ajenas al procesador; a través de este modelo es posible representar el comportamiento de las tareas periódicas, esporádicas y aperiódicas.Eje: Arquitectura, Redes y Sistemas Operativos (ARSO)Red de Universidades con Carreras en Informática (RedUNCI

Un modelo dinámico para el arribo de tareas en tiempo real

Para el estudio de Sistemas en Tiempo Real es necesario conocer el comportamiento de las tareas que lo forman; esto es para aprovechar al máximo los recursos mediante planificadores y conocer el comportamiento del sistema ante diversas situaciones (predictibilidad). Diversos autores han desarrollado modelos de Tareas en Tiempo Real (TTR), sin embargo estos modelos son estáticos y no brindan mucha información del arribo de las mismas. En este documento se propone un modelo dinámico general para tiempos de arribo absolutos basado en un Modelo Recursivo con Promedios Móviles (MRPM) que incluye perturbaciones internas y ajenas al procesador; a través de este modelo es posible representar el comportamiento de las tareas periódicas, esporádicas y aperiódicas.Eje: Arquitectura, Redes y Sistemas Operativos (ARSO)Red de Universidades con Carreras en Informática (RedUNCI

Matrix estimation using matrix forgetting factor and instrumental variable for nonstationary sequences with time variant matrix gain

Consider us the problem of time-varying parameter estimation. The most immediate and simple idea is to include a discounting procedure in an estimation algorithm i.e., a procedure for discarding (forgetting) old information. The most common way to do is to introduce an exponential forgetting factor (FF) into the corresponding estimation procedure (to see: Ljung and Gunnarson (1990)). In this paper, the authors going to describe a good enough estimator considering a system with nonstationary time variant properties with respect to input and output qualities. The techniques used are Instrumental Variable (IV) and Matrix Forgetting Factor (MFF). The results previously obtained by (Poznyak and Medel 1999a, 1999b) were the basis of this paper. The theoretical description illustrates the advantages with respect to others filters below cited.Eje: IV - Workshop de procesamiento distribuido y paraleloRed de Universidades con Carreras en Informática (RedUNCI

Chloride Nutrition Regulates development, Water Balance and Drought Resistance in Plants

6 páginas.-- 5 figuras.-- 9 referencias.-- Poster presentado en el XII Luso-Spanish Symposium on Plant Water Relations – Water to Feed the World. 30th of September – 3rd of October (Evora) PortugalCl- is a strange micronutrient since actual Cl- concentration in plants is about two orders of magnitude higher than the content required as essential micronutrient. This accumulation requires a high cost of energy, and since Cl- is a major osmotically active solute in the vacuole, we propose that Cl- plays a role in the regulation of water balance in plants. We show here that, when accumulated to macronutrient levels, Cl- specifically regulates leaf cell elongation and water balance parameters, improving water relations at both the leaf tissue and the whole plant levels, increasing drought resistance in higher plants.This work was supported by the Spanish Ministry of Science and Innovation-FEDER grant AGL2009-08339/AGR.Peer Reviewe

Propuesta de optimización de la gestión de la cadena de suministro para mejorar el nivel de servicio con base en el Proyecto Especial Legado Juegos Panamericanos y Parapanamericanos

La finalidad de realizar esta investigación es mostrar la manera de optimizar la gestión de cadena de suministro, en adelante SCM (por siglas en inglés Supply Chain Management) para generar una mejora en el nivel de servicio en una entidad pública, tomando como base al Proyecto Especial Legado Juegos Panamericanos y Parapanamericanos, en adelante Legado JPP en el 2021. La muestra total es de 18 empleados públicos de Legado JPP. Cabe mencionar que este trabajo de investigación se desarrolla a través del enfoque cualitativo, alcance explicativo y diseño fenomenológico. Esta investigación muestra que Legado JPP carece de actividades, procedimientos y procesos integrados que permitan una óptima SCM que incremente el nivel de servicio para al desarrollar sus funciones misionales. Para tal efecto, el área funcional de Logística de Sedes está involucrada de manera directa en cada una de las actividades, procedimientos y procesos los cuales constituyen la SCM. Concluyendo, que los procedimientos y procesos componentes de la SCM se ven afectados por la secuencia de causas, tales como la ausencia de procedimientos, inadecuada programación de solicitudes de bienes y servicios, incorrecta gestión de inventarios, deficiente uso de indicadores de gestión, Términos de Referencia, en adelante TDR y Especificaciones Técnicas que, en adelante EETT ambos deficientes; entre los más importantes; lo que ha traído como efecto que el nivel de servicio no cumpla las expectativas de las áreas usuarias de la Entidad.Escuela de Postgrad

Trans-cleaving hammerhead ribozymes with tertiary stabilizing motifs: in vitro and in vivo activity against a structured viroid RNA

Trans-cleaving hammerheads with discontinuous or extended stem I and with tertiary stabilizing motifs (TSMs) have been tested previously against short RNA substrates in vitro at low Mg2+ concentration. However, the potential of these ribozymes for targeting longer and structured RNAs in vitro and in vivo has not been examined. Here, we report the in vitro cleavage of short RNAs and of a 464-nt highly structured RNA from potato spindle tuber viroid (PSTVd) by hammerheads with discontinuous and extended formats at submillimolar Mg2+. Under these conditions, hammerheads derived from eggplant latent viroid and peach latent mosaic viroid (PLMVd) with discontinuous and extended formats, respectively, where the most active. Furthermore, a PLMVd-derived hammerhead with natural TSMs showed activity in vivo against the same long substrate and interfered with systemic PSTVd infection, thus reinforcing the idea that this class of ribozymes has potential to control pathogenic RNA replicons

Treatment with tocilizumab or corticosteroids for COVID-19 patients with hyperinflammatory state: a multicentre cohort study (SAM-COVID-19)

Objectives: The objective of this study was to estimate the association between tocilizumab or corticosteroids and the risk of intubation or death in patients with coronavirus disease 19 (COVID-19) with a hyperinflammatory state according to clinical and laboratory parameters. Methods: A cohort study was performed in 60 Spanish hospitals including 778 patients with COVID-19 and clinical and laboratory data indicative of a hyperinflammatory state. Treatment was mainly with tocilizumab, an intermediate-high dose of corticosteroids (IHDC), a pulse dose of corticosteroids (PDC), combination therapy, or no treatment. Primary outcome was intubation or death; follow-up was 21 days. Propensity score-adjusted estimations using Cox regression (logistic regression if needed) were calculated. Propensity scores were used as confounders, matching variables and for the inverse probability of treatment weights (IPTWs). Results: In all, 88, 117, 78 and 151 patients treated with tocilizumab, IHDC, PDC, and combination therapy, respectively, were compared with 344 untreated patients. The primary endpoint occurred in 10 (11.4%), 27 (23.1%), 12 (15.4%), 40 (25.6%) and 69 (21.1%), respectively. The IPTW-based hazard ratios (odds ratio for combination therapy) for the primary endpoint were 0.32 (95%CI 0.22-0.47; p < 0.001) for tocilizumab, 0.82 (0.71-1.30; p 0.82) for IHDC, 0.61 (0.43-0.86; p 0.006) for PDC, and 1.17 (0.86-1.58; p 0.30) for combination therapy. Other applications of the propensity score provided similar results, but were not significant for PDC. Tocilizumab was also associated with lower hazard of death alone in IPTW analysis (0.07; 0.02-0.17; p < 0.001). Conclusions: Tocilizumab might be useful in COVID-19 patients with a hyperinflammatory state and should be prioritized for randomized trials in this situatio

Production of He-4 and (4) in Pb-Pb collisions at root(NN)-N-S=2.76 TeV at the LHC

Results on the production of He-4 and (4) nuclei in Pb-Pb collisions at root(NN)-N-S = 2.76 TeV in the rapidity range vertical bar y vertical bar <1, using the ALICE detector, are presented in this paper. The rapidity densities corresponding to 0-10% central events are found to be dN/dy4(He) = (0.8 +/- 0.4 (stat) +/- 0.3 (syst)) x 10(-6) and dN/dy4 = (1.1 +/- 0.4 (stat) +/- 0.2 (syst)) x 10(-6), respectively. This is in agreement with the statistical thermal model expectation assuming the same chemical freeze-out temperature (T-chem = 156 MeV) as for light hadrons. The measured ratio of (4)/He-4 is 1.4 +/- 0.8 (stat) +/- 0.5 (syst). (C) 2018 Published by Elsevier B.V.Peer reviewe