Carlos A. Reyes García

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We have identified a new role for the matrix enzyme lysyl oxidase-like-2 (LOXL2) in the creation and maintenance of the pathologic microenvironment of cancer and fibrotic disease. Our analysis of biopsies from human tumors and fibrotic lung and liver tissues revealed an increase in LOXL2 in disease-associated stroma and limited expression in healthy(More)
This paper presents a Web 2.0 Learning Environment, for a systematic creation of adaptive and intelligent tutoring systems. Authoring contents is made by a community of users including teachers and students. The tutoring systems adapt the contents according to the best learning style using self-organizing maps (SOMs). The SOM was trained for classifying(More)
Expression of matrix metalloproteinase 9 (MMP9) is elevated in a variety of inflammatory and oncology indications, including ulcerative colitis and colorectal cancer. MMP9 is a downstream effector and an upstream mediator of pathways involved in growth and inflammation, and has long been viewed as a promising therapeutic target. However, previous efforts to(More)
The present work presents the experiments performed with two kinds of ensembles to classify infant cry. The ones selected for testing during the presented experiments are: a boosting ensemble of artificial neural networks and a boosting ensemble of support vector machines. The design and implementation of the ensembles as well as the experiments and some of(More)
This work presents the development of an automatic recognition system of infant cry, with the objective to classify two types of cry: normal and pathological cry from deaf babies. In this study, we used acoustic characteristics obtained by the Linear Prediction technique and as a classifier a neural network that was trained with the scaled conjugate(More)
In this report, we assessed the steady-state enzymatic activity of lysyl oxidase-like 2 (LOXL2) against the substrates 1,5-diaminopentane (DAP), spermine, and fibrillar type I collagen. We find that both DAP and spermine are capable of activating LOXL2 to the same extent and have similar Michaelis constants (K(m) approximately 1 mm) and catalytic rates(More)
This work presents the development and analysis of an automatic recognizer of infant cry, with the objective of classifying three classes, normal, hypo acoustics and asphyxia. We use acoustic feature extraction techniques like MFCC, for the acoustic processing of the cry's sound wave, and a Feed Forward Input Delay neural network with training based on(More)