5 results on '"Uribe, Cesar A."'
Search Results
2. Expert knowledge-guided feature selection for data-based industrial process monitoring.
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Uribe, Cesar and Isaza, Claudia
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MANUFACTURING processes , *UNCERTAINTY , *NONLINEAR analysis , *DIMENSION reduction (Statistics) , *FAULT diagnosis , *FUZZY clustering technique - Abstract
Industrial processes are characterized to be in open environments with uncertainty, unpredictability and nonlinear behavior. Rigorous measuring and monitoring is required to strive for product quality, safely and finance. Therefore, data-based monitoring systems have gain interest in academia and industry (e.g. clustering). However industrial processes have high volumes of complex and high dimensional data available, with poorly defined domains and sometimes redundant noisy or inaccurate measures with unknown parameters. When a mechanistic or structural model is not available or suitable, selecting relevant and informative variables (reducing the high dimensionality) eases pattern recognition to identify functional states of the process. In this paper, we address the feature selection problem in data-based industrial processes monitoring where a mathematical or structural model is not available or suitable. Expert knowledge-guidance is used inside a wrapper feature selection based on clustering. The reduced set of features is capable of represent intrinsic historical-data structure integrating the expert knowledge about the process. A monitoring system is proposed and tested on an intensification reactor, the "open plate reactor (OPR)". over the thiosulfate and the esterification reaction. Results show fewer variables are needed to correctly identify the process functional states. [ABSTRACT FROM AUTHOR]
- Published
- 2012
3. Fast Convergence Rates for Distributed Non-Bayesian Learning.
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Nedic, Angelia, Olshevsky, Alex, and Uribe, Cesar A.
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STOCHASTIC convergence , *STATISTICAL hypothesis testing , *BAYESIAN analysis , *SCALABILITY , *ALGORITHMS - Abstract
We consider the problem of distributed learning, where a network of agents collectively aim to agree on a hypothesis that best explains a set of distributed observations of conditionally independent random processes. We propose a distributed algorithm and establish consistency, as well as a nonasymptotic, explicit, and geometric convergence rate for the concentration of the beliefs around the set of optimal hypotheses. Additionally, if the agents interact over static networks, we provide an improved learning protocol with better scalability with respect to the number of nodes in the network. [ABSTRACT FROM PUBLISHER]
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- 2017
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4. Enhanced Cardiac Regenerative Ability of Stem Cells After Ischemia-Reperfusion Injury: Role of Human CD34+ Cells Deficient in MicroRNA-377.
- Author
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Joladarashi, Darukeshwara, Srikanth Garikipati, Venkata Naga, Thandavarayan, Rajarajan A., Verma, Suresh K., Mackie, Alexander R., Khan, Mohsin, Gumpert, Anna M., Bhimaraj, Arvind, Youker, Keith A., Uribe, Cesar, Suresh Babu, Sahana, Jeyabal, Prince, Kishore, Raj, Krishnamurthy, Prasanna, and Garikipati, Venkata Naga Srikanth
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CARDIAC regeneration , *STEM cells , *ISCHEMIA , *REPERFUSION injury , *CD34 antigen , *HEART fibrosis , *LABORATORY mice , *HEART metabolism , *RNA metabolism , *ANIMAL experimentation , *ANTIGENS , *HEART , *HEART failure , *INFLAMMATION , *MICE , *MYOCARDIUM , *NEOVASCULARIZATION , *POLYMERASE chain reaction , *RESEARCH funding , *REVERSE transcriptase polymerase chain reaction - Abstract
Background: MicroRNA (miR) dysregulation in the myocardium has been implicated in cardiac remodeling after injury or stress.Objectives: The aim of this study was to explore the role of miR in human CD34(+) cell (hCD34(+)) dysfunction in vivo after transplantation into the myocardium under ischemia-reperfusion (I-R) conditions.Methods: In response to inflammatory stimuli, the miR array profile of endothelial progenitor cells was analyzed using a polymerase chain reaction-based miR microarray. miR-377 expression was assessed in myocardial tissue from human patients with heart failure (HF). We investigated the effect of miR-377 inhibition on an hCD34(+) cell angiogenic proteome profile in vitro and on cardiac repair and function after I-R injury in immunodeficient mice.Results: The miR array data from endothelial progenitor cells in response to inflammatory stimuli indicated changes in numerous miR, with a robust decrease in the levels of miR-377. Human cardiac biopsies from patients with HF showed significant increases in miR-377 expression compared with nonfailing control hearts. The proteome profile of hCD34(+) cells transfected with miR-377 mimics showed significant decrease in the levels of proangiogenic proteins versus nonspecific control-transfected cells. We also validated that serine/threonine kinase 35 is a target of miR-377 using a dual luciferase reporter assay. In a mouse model of myocardial I-R, intramyocardial transplantation of miR-377 silenced hCD34(+) cells in immunodeficient mice, promoting neovascularization (at 28 days, post-I-R) and lower interstitial fibrosis, leading to improved left ventricular function.Conclusions: These findings indicate that HF increased miR-377 expression in the myocardium, which is detrimental to stem cell function, and transplantation of miR-377 knockdown hCD34(+) cells into ischemic myocardium promoted their angiogenic ability, attenuating left ventricular remodeling and cardiac fibrosis. [ABSTRACT FROM AUTHOR]- Published
- 2015
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5. Bacterial cyclodipeptides elicit Arabidopsis thaliana immune responses reducing the pathogenic effects of Pseudomonas aeruginosa PAO1 strains on plant development.
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Solis-Ortiz, Cristhian Said, Gonzalez-Bernal, Javier, Kido-Díaz, Héctor Antonio, Peña-Uribe, Cesar Artuto, López-Bucio, Jesús Salvador, López-Bucio, José, Guevara-García, Ángel Arturo, García-Pineda, Ernesto, Villegas, Javier, Campos-García, Jesús, and Reyes de La Cruz, Homero
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QUORUM sensing , *PLANT growth , *ARABIDOPSIS thaliana , *PSEUDOMONAS aeruginosa , *PLANT development , *MITOGEN-activated protein kinases , *IMMUNE response - Abstract
Plants being sessile organisms are exposed to various biotic and abiotic factors, thus causing stress. The Pseudomonas aeruginosa bacterium is an opportunistic pathogen for animals, insects, and plants. Direct exposure of Arabidopsis thaliana to the P. aeruginosa PAO1 strain induces plant death by producing a wide variety of virulence factors, which are regulated mainly by quorum sensing systems. Besides virulence factors, P. aeruginosa PAO1 also produces cyclodipeptides (CDPs), which possess auxin-like activity and promote plant growth through activation of the target of the rapamycin (AtTOR) pathway. On the other hand, plant defense mechanisms are regulated through the production of phytohormones, such as salicylic acid (SA) and jasmonic acid (JA), which are induced in response to pathogen-associated molecular patterns (PAMPs), activating defense genes associated with SA and JA such as PATHOGENESIS-RELATED-1 (PR-1) and LIPOXYGENASE2 (LOX2), respectively. PR proteins are suggested to play critical roles in coordinating the Systemic Acquired Resistance (SAR). In contrast, LOX proteins (LOX2, LOX3, and LOX4) have been associated with the production of JA by producing its precursors, oxylipins. The activation of defense mechanisms involves signaling cascades such as Mitogen-Activated Protein Kinases (MAPKs) or the TOR pathway as a switch for re-directing energy towards defense or growth. In this work, we challenged A. thaliana (wild type, mpk6 or mpk3 mutants, and overexpressing TOR) seedlings with P. aeruginosa PAO1 strains to identify the role of bacterial CDPs in the plant immune response. Results showed that the pre-exposure of these Arabidopsis seedlings to CDPs significantly reduced plant infection of the pathogenic P. aeruginosa PAO1 strains, indicating that plants that over-express AtTOR or lack MPK3/MPK6 protein-kinases are more susceptible to the pathogenic effects. In addition, CDPs induced the GUS activity only in the LOX2::GUS plants, indicative of JA-signaling activation. Our findings indicate that the CDPs are molecules that trigger SA-independent and JA-dependent defense responses in A. thaliana ; hence, bacterial CDPs may be considered elicitors of the Arabidopsis immune response to pathogens. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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