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Search Results: 1 - 10 of 257657 matches for " Juan R. Rodriguez-Madoz "
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DENV Inhibits Type I IFN Production in Infected Cells by Cleaving Human STING
Sebastian Aguirre,Ana M. Maestre,Sarah Pagni,Jenish R. Patel,Timothy Savage,Delia Gutman,Kevin Maringer,Dabeiba Bernal-Rubio,Reed S. Shabman,Viviana Simon,Juan R. Rodriguez-Madoz,Lubbertus C. F. Mulder,Glen N. Barber,Ana Fernandez-Sesma
PLOS Pathogens , 2012, DOI: 10.1371/journal.ppat.1002934
Abstract: Dengue virus (DENV) is a pathogen with a high impact on human health. It replicates in a wide range of cells involved in the immune response. To efficiently infect humans, DENV must evade or inhibit fundamental elements of the innate immune system, namely the type I interferon response. DENV circumvents the host immune response by expressing proteins that antagonize the cellular innate immunity. We have recently documented the inhibition of type I IFN production by the proteolytic activity of DENV NS2B3 protease complex in human monocyte derived dendritic cells (MDDCs). In the present report we identify the human adaptor molecule STING as a target of the NS2B3 protease complex. We characterize the mechanism of inhibition of type I IFN production in primary human MDDCs by this viral factor. Using different human and mouse primary cells lacking STING, we show enhanced DENV replication. Conversely, mutated versions of STING that cannot be cleaved by the DENV NS2B3 protease induced higher levels of type I IFN after infection with DENV. Additionally, we show that DENV NS2B3 is not able to degrade the mouse version of STING, a phenomenon that severely restricts the replication of DENV in mouse cells, suggesting that STING plays a key role in the inhibition of DENV infection and spread in mice.
Modificacion de un metodo de extraccion de ADN genomico de Aedes aegypti (Diptera: Culicidae) Modification of a method to extract genomic DNA from Aedes aegypti (Diptera: Culicidae)
Revista Colombiana de Entomología , 2005,
Abstract: Se extrajo el ADN genomico a 20 mosquitos Aedes aegypti de la cepa Rockefeller. Se evaluaron los resultados de la modificacion del protocoto empleado para extraer el ADN de los mosquitos. La modificacion del metodo consistio en macerar las muestras en nitrogeno liquido antes de ser extraido el material genotico. Los resultados demostraron que empleando el protocolo modificado se obtuvo un material genomico con mayor rendimiento (9,55) y concentracion (0.46 u.g/ul) que con el metodo original. Se pudo corroborar que el ADN resultante de la extraccion presenta suficiente calidad para emplcarse como molde en la tecnica del RAPD y probablemente en otras tecnicas moleculares basadas en la amplificacion por la PCR. Estos resultados se utilizaran en futuros estudios geneticos de Ae. aegypti, principal vector del dengue. The genomic DNA was extracted from 20 Aedes aegypti mosquitoes of the Rockefeller strain. The results from a modi Tied protocol for DNA extraction of mosquitoes were evaluated. The modification of the method consisted in grinding up samples in liquid nitrogen before the extraction of genetic material. The results demonstrated that through the modified protocol genetic material was obtained with higher yield (9.55) and concentration (0.46 (ig/ul) than the original method. It was corroborated that the resulting DNA was of sufficient quality for RAPD technology and probably other molecular based techniques based on PCR amplification. These results will be used in future genetic studies on Ae. aegypti, the principal vector of dengue.
Diabetes Hospitalization at the U.S.–Mexico Border
Juan R. Albertorio-Diaz, MA,Francis C. Notzon, PhD,Alfonso Rodriguez-Lainz, DVM, MPH
Preventing Chronic Disease , 2007,
Abstract: IntroductionThe diabetes hospitalization rate for the region along the U.S. side of the U.S.–Mexico border is unknown, a situation that could limit the success of the Healthy Border 2010 program. To remedy this problem, we analyzed and compared hospital discharge data for Arizona, California, and Texas for the year 2000 and calculated the diabetes hospitalization rates.MethodsWe obtained hospital-discharge public-use data files from the health departments of three U.S. border states and looked for cases of diabetes. Only when diabetes was listed as the first diagnosis on the discharge record was it considered a case of diabetes for our study. Patients with cases of diabetes were classified as border county (BC) or nonborder county (NBC) residents. Comparisons between age-adjusted diabetes discharge rates were made using the z test.ResultsOverall, 1.2% (86,198) of the discharge records had diabetes listed as the primary diagnosis. BC residents had a significantly higher age-adjusted diabetes discharge rate than NBC residents. BC males had higher diabetes discharge rates than BC females or NBC males. In both the BCs and the NBCs, Hispanics had higher age-adjusted diabetes discharge rates than non-Hispanics.ConclusionThe results of this study provide a benchmark against which the effectiveness of the Healthy Border 2010 program can be measured.
Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks in Nonlinear Identification
Oscar Castillo,Juan R. Castro,Patricia Melin,Antonio Rodriguez-Diaz
Advances in Fuzzy Systems , 2013, DOI: 10.1155/2013/136214
Abstract: Neural networks (NNs), type-1 fuzzy logic systems (T1FLSs), and interval type-2 fuzzy logic systems (IT2FLSs) have been shown to be universal approximators, which means that they can approximate any nonlinear continuous function. Recent research shows that embedding an IT2FLS on an NN can be very effective for a wide number of nonlinear complex systems, especially when handling imperfect or incomplete information. In this paper we show, based on the Stone-Weierstrass theorem, that an interval type-2 fuzzy neural network (IT2FNN) is a universal approximator, which uses a set of rules and interval type-2 membership functions (IT2MFs) for this purpose. Simulation results of nonlinear function identification using the IT2FNN for one and three variables and for the Mackey-Glass chaotic time series prediction are presented to illustrate the concept of universal approximation. 1. Introduction Several authors have contributed to universal approximation results. An overview can be found in [1–8]; further references to prime contributors in function approximations by neural networks are in [4, 9–12] and type-2 fuzzy logic modeling in [13–23]. It has been shown that a three-layer NN can approximate any real continuous function [24]. The same has been shown for a T1FLS [1, 25] using the Stone-Weierstrass theorem [3]. A similar analysis was made by Kosko [2, 9] using the concept of fuzzy regions. In [3, 26] Buckley shows that, with a Sugeno model [27], a T1FLS can be built with the ability to approximate any nonlinear continuous function. Also, combining the neural and fuzzy logic paradigms [28, 29], an effective tool can be created for approximating any nonlinear function [4]. In this sense, an expert can use a type-1 fuzzy neural network (T1FNN) [10–12, 30] or IT2FNN systems and find interpretable solutions [15–17, 31–34]. In general, Takagi-Sugeno-Kang (TSK) T1FLSs are able to approximate by the use of polynomial consequent rules [7, 27]. This paper uses the Levenberg-Marquardt backpropagation learning algorithm for adapting antecedent and consequent parameters for an adaptive IT2FNN, since its efficiency and soundness characteristics make them fit for these optimizing problems. An Adaptive IT2FNN is used as a universal approximator of any nonlinear functions. A set of IT2FNNs is universal if and only if (iff), given any process , there is a system such that the difference between the output from IT2FNN and output from is less than a given . In this paper the main contribution is the proposed IT2FNNs architectures, which are shown to be universal approximators
7-Ketocholesterol-Induced Inflammation Signals Mostly through the TLR4 Receptor Both In Vitro and In Vivo
Jiahn-Dar Huang, Juan Amaral, Jung Wha Lee, Ignacio R. Rodriguez
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0100985
Abstract: The cholesterol oxide 7-ketocholesterol (7KCh) has been implicated in numerous age-related diseases such as atherosclerosis, Alzheimer's disease, Parkinson's disease, cancer and age-related macular degeneration. It is formed by the autooxidation of cholesterol and especially cholesterol-fatty acid esters found in lipoprotein deposits. This molecule causes complex and potent inflammatory responses in vitro and in vivo. It is suspected of causing chronic inflammation in tissues exposed to oxidized lipoprotein deposits. In this study we have examined the inflammatory pathways activated by 7KCh both in cultured ARPE19 cells and in vivo using 7KCh-containing implants inserted into the anterior chamber of the rat eye. Our results indicate that 7KCh-induced inflammation is mediated mostly though the TLR4 receptor with some cross-activation of EGFR-related pathways. The majority of the cytokine inductions seem to signal via the TRIF/TRAM side of the TLR4 receptor. The MyD88/TIRAP side only significantly effects IL-1β inductions. The 7KCh-induced inflammation also seems to involve a robust ER stress response. However, this response does not seem to involve a calcium efflux-mediated UPR. Instead the ER stress response seems to be mediated by yet identified kinases activated through the TLR4 receptor. Some of the kinases identified are the RSKs which seem to mediate the cytokine inductions and the cell death pathway but do not seem to be involved in the ER stress response.
Hybrid surface waves in semi-infinite metal-dielectric lattices
Juan J. Miret,Carlos J. Zapata-Rodriguez,Zoran Jaksic,Slobodan Vukovic,Milivoj R. Belic
Physics , 2012,
Abstract: We investigate surface waves at the boundary between a semi-infinite layered metal-dielectric nanostructure cut normally to the layers and a semi-infinite dielectric. Spatial dispersion properties of such a nanostructure can be dramatically affected by coupling of surface plasmons polaritons at different metal-dielectric interfaces. As a consequence, the effective medium approach is not applicable in general. It is demonstrated that Dyakonov-like surface waves with hybrid polarization can propagate in an angular range substantially enlarged compared to conventional birefringent materials. Our numerical simulations for an Ag-GaAs stack in contact with glass show a low to moderate influence of losses.
Mechanisms of Foot-and-Mouth Disease Virus Tropism Inferred from Differential Tissue Gene Expression
James J. Zhu, Jonathan Arzt, Michael C. Puckette, George R. Smoliga, Juan M. Pacheco, Luis L. Rodriguez
PLOS ONE , 2013, DOI: 10.1371/journal.pone.0064119
Abstract: Foot-and-mouth disease virus (FMDV) targets specific tissues for primary infection, secondary high-titer replication (e.g. foot and mouth where it causes typical vesicular lesions) and long-term persistence at some primary replication sites. Although integrin αVβ6 receptor has been identified as primary FMDV receptors in animals, their tissue distribution alone fails to explain these highly selective tropism-driven events. Thus, other molecular mechanisms must play roles in determining this tissue specificity. We hypothesized that differences in certain biological activities due to differential gene expression determine FMDV tropism and applied whole genome gene expression profiling to identify genes differentially expressed between FMDV-targeted and non-targeted tissues in terms of supporting primary infection, secondary replication including vesicular lesions, and persistence. Using statistical and bioinformatic tools to analyze the differential gene expression, we identified mechanisms that could explain FMDV tissue tropism based on its association with differential expression of integrin αVβ6 heterodimeric receptor (FMDV receptor), fibronectin (ligand of the receptor), IL-1 cytokines, death receptors and the ligands, and multiple genes in the biological pathways involved in extracellular matrix turnover and interferon signaling found in this study. Our results together with reported findings indicate that differences in (1) FMDV receptor availability and accessibility, (2) type I interferon-inducible immune response, and (3) ability to clear virus infected cells via death receptor signaling play roles in determining FMDV tissue tropism and the additional increase of high extracellular matrix turnover induced by FMDV infection, likely via triggering the signaling of highly expressed IL-1 cytokines, play a key role in the pathogenesis of vesicular lesions.
Estudios sobre la Escherichia Coli
Revista chilena de pediatría , 1956,
Aproximación al derecho concursal colombiano.
Juan Jose Rodriguez Espitia
Revista e-Mercatoria , 2007,
Abstract: Con ocasión de la reciente modificación a que se vió sometido el régimen concursal colombiano, el presente artículo pretende aprovechar esa oportunidad con el propósito de abordar algunos temas relacionados con la insolvencia empresarial, y que no obstante ser a ejos, a raíz de la mentada reforma, readquieren vigencia académica. El autor pretende mediante una aproximación histórica completada de referencias prácticas, poner de presente al lector temas y puntos álgidos que dentro de la evolución del derecho concursal se encuentran aún en punto de discusión.
Business Intelligence Expert System on SOX Compliance over the Purchase Orders Creation Process  [PDF]
Jesus Angel Fernandez, Quintin Martin Martin, Juan Manuel Corchado Rodriguez
Intelligent Information Management (IIM) , 2013, DOI: 10.4236/iim.2013.53007

The objective of this work is to define a decision support system over SOX (Sarbanes-Oxley Act) compatibility and quality of the Purchase Orders Creation Process based on Artificial Intelligence and Theory of Argumentation knowledge and techniques. This proposed model directly contributes to both scientific research artificial intelligent area and business practices. From business perspective it empowers the use of artificial intelligent models and techniques to drive decision making processes over financial statements. From scientific and research area the impact is based on the combination of 1) an Information Seeking Dialog Protocol in which a requestor agent inquires the business case, 2) a Facts Valuation based Protocol in which the previously gathered facts are analyzed, 3) the already incorporated initial knowledge of a human expert via initial beliefs, 4) the Intra-Agent Decision Making Protocol based on deductive argumentation and 5) the semi automated Dynamic Knowledge Learning Protocol. Last but not least the suggested way of integration of this proposed model in a higher level multiagent intelligent system in which a Joint Deliberative Dialog Protocol and an Inter-Agent Decision Deductive Argumentation Making Protocol are described.

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