Ensenada, Mexico
Ensenada, Mexico

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Prokaryote respiration is expected to be responsible for more than half of the community respiration in the ocean, but the lack of a practical method to measure the rate of prokaryote respiration in the open ocean resulted in very few published data leaving the role of organotrophic prokaryotes open to debate. Oxygen consumption rates of oceanic prokaryotes measured with current methods may be biased due to pre-incubation size filtration and long incubation times both of which can change the physiological and taxonomic profile of the sample during the incubation period. In vivo INT reduction has been used in terrestrial samples to estimate respiration rates, and recently, the method was introduced and applied in aquatic ecology. We measured oxygen consumption rates and in vivo INT reduction to formazan in cultures of marine bacterioplankton communities, Vibrio harveyi and the eukaryote Isochrysis galbana. For prokaryotes, we observed a decrease in oxygen consumption rates with increasing INT concentrations between 0.05 and 1 mM. Time series after 0.5 mM INT addition to prokaryote samples showed a burst of in vivo INT reduction to formazan and a rapid decline of oxygen consumption rates to zero within less than an hour. Our data for non-axenic eukaryote cultures suggest poisoning of the eukaryote. Prokaryotes are clearly poisoned by INT on time scales of less than 1 h, invalidating the interpretation of in vivo INT reduction to formazan as a proxy for oxygen consumption rates. © 2015, Springer Science+Business Media New York.


Prokaryote respiration is expected to be responsible for more than half of the community respiration in the ocean, but the lack of a practical method to measure the rate of prokaryote respiration in the open ocean resulted in very few published data leaving the role of organotrophic prokaryotes open to debate. Oxygen consumption rates of oceanic prokaryotes measured with current methods may be biased due to pre-incubation size filtration and long incubation times both of which can change the physiological and taxonomic profile of the sample during the incubation period. In vivo INT reduction has been used in terrestrial samples to estimate respiration rates, and recently, the method was introduced and applied in aquatic ecology. We measured oxygen consumption rates and in vivo INT reduction to formazan in cultures of marine bacterioplankton communities, Vibrio harveyi and the eukaryote Isochrysis galbana. For prokaryotes, we observed a decrease in oxygen consumption rates with increasing INT concentrations between 0.05 and 1 mM. Time series after 0.5 mM INT addition to prokaryote samples showed a burst of in vivo INT reduction to formazan and a rapid decline of oxygen consumption rates to zero within less than an hour. Our data for non-axenic eukaryote cultures suggest poisoning of the eukaryote. Prokaryotes are clearly poisoned by INT on time scales of less than 1 h, invalidating the interpretation of in vivo INT reduction to formazan as a proxy for oxygen consumption rates.


Favela J.,CICESE | Tentori M.,UABC | Gonzalez V.M.,University of Manchester
International Journal of Human-Computer Interaction | Year: 2010

The difficulties associated with the evaluation of ubiquitous computing (Ubicomp) technologies increase in application domains such as hospitals, where human life can be at risk, privacy of personal records is paramount, and labor is costly and highly distributed across space and time. For the last 6 years numerous Ubicomp technologies in support of hospital work have been created and pilot-tested. In this article, the lessons learned from these evaluations are discussed, using two criteria to classify them. The first criterion is ecological validity, namely, the extent to which the evaluation is conducted under realistic conditions. Alternatives range from controlled experiments to in situ evaluations. The article argues in particular for the advantages of intermediate approaches, which is referred to as in silico and in replica. The second criterion relates to the degree of integration of the technology with the environment, which is referred to as its pervasiveness. The evaluation grid that comes out of this exercise highlights the importance of ecological validity in evaluating ambient computing technology that supports the activities conducted in complex health care settings such as hospitals. This provides a framework for evaluating Ubihealth, which can be used to select appropriate techniques as a function of the technological and environmental complexity as well as to devise novel evaluation techniques. © Taylor & Francis Group, LLC.


Ungson Y.,Autonomous University of Baja California | Reyna M.A.,UABC
Pan American Health Care Exchanges, PAHCE | Year: 2013

The incidence of cardiovascular diseases is rising, so more people are requiring cardiac services. The private service is very expensive; hence the public health sector is exceeded by their capacity to accomplish this demand. The proposal to solve this problem is the implementation of a wireless network based on Bluetooth (BT) for recording, monitoring and analysis of electrocardiographic signals (ECG). Three surface electrodes are placed on the chest following standardized points of triangle of Einthoven. The signals measured by electrodes are carried to Arduino UNO card, which works as an instrumentation amplifier. Then ECG signal is sent by BT from Arduino Uno to a mobile device carried by the user, so he can send it to a workstation where the ECG is processed or analyzed by an expert. This proposal would help the health sector to improve the quality of their service in the care of patients with heart diseases; also costs of care would significantly decrease. © 2013 IEEE.


Gascon M.B.,Autonomous University of Baja California | Moran E.J.,Autonomous University of Baja California | Marin E.S.,UABC | Cruz A.J.,Autonomous University of Baja California
Nutricion Hospitalaria | Year: 2014

Background: A fetal environment or postnatal under-nutrition, might become risk factors that increase susceptibility for chronic-degenerative diseases later in life. Fetal programming means that during prenatal period adverse environment might increase the susceptibility for metabolic changes later in life. Objective: The purpose of this study was to analyze the effect of pre-and postnatal malnutrition in the presentation of obesity and components of metabolic syndrome (MS) later in life. Methods: A literature electronic search on PubMed and EBSCO was conducted. The following term was searched: "Undernutrition in early life and obesity", from studies published from November 1997 through January 2014. Seven studies were identified, and six more were included from other references. Results: We analyzed thirteen publications form six studies conducted in six countries from Asia, Africa, Europe and Latin America. Ten of the studies were retrospectives and the age ranged from 11 to 70 years old. In all studies an association of pre or postnatal undernu-trition with components of MS later in life was observed. Conclusion: This review shows a consistent association between prenatal and postnatal undernutrition with one or more MS components later in life.


Introduction: Gestational diabetes has been associated with obesity later in life. However, reported results have not been consistent and the methods used have shown weakness. Objective: To analize prospective and retrospective cohort studies that assess the gestational diabetes effects on adiposity indicators in the offspring during their first 18 years. Methodology: A search was made for prospective or retrospective cohort studies registered in Medline/ Pubmed database, from January 2011 to September 2013 that evaluated the gestational diabetes effects on adiposity indicators at birth or after birth. Results: Eleven studies met the inclusion criteria. A total of 472,959 pairs of mother and child were studied. Children age at the moment of evaluation ranged from birth to 18 years. In nine out of eleven articles an association between gestational diabetes and adiposity indicators was observed. In seven studies adjustments for potential confounders (pre gestational BMI, maternal age) were made. In five of those an association between gestational diabetes and adiposity was found. Conclusion: The results of this review indicate that the evidence showing that gestational diabetes increase adiposity indicators later in life is moderate.


Fimbres-Castro C.,UABC | Alvarez-Borrego J.,CICESE | Bueno-Ibarra M.A.,IPN
Optical Engineering | Year: 2012

We present a nonlinear correlation methodology to recognize objects. This system is invariant to position, rotation, and scale by using vectorial signatures obtained from the target such as those from problem images. Vectorial signatures are calculated through several mathematical transformations such as scale and Fourier transform. In this application, vectorial signatures are compared using nonlinear correlations. Also, experiments were carried out in order to find the noise tolerance. The discrimination coefficient was used as a metric in performance evaluation in presence of noise. In addition, spectral index and vectorial signature index are obtained in order to recognize objects in a simpler way. This technique has low computational cost. The invariance to position, rotation, and scale digital system was tested with 21 different fossil diatoms images. The results obtained are good, and the confidence level is above 95.4%. © 2012 Society of Photo-Optical Instrumentation Engineers (SPIE).


Martinez R.,UABC | Rodriguez A.,UABC | Castillo O.,Tijuana Institute of Technology | Aguilar L.T.,CITEDI
Proceedings - 2010 IEEE International Conference on Granular Computing, GrC 2010 | Year: 2010

In this paper we apply bio-inspired optimization methods to design type-2 fuzzy logic controllers (FLC) to minimize the steady state error of linear systems. We test the optimal FLC obtained by the genetic algorithms and the PSO using benchmark plants. The bio-inspired methods are used to find the parameters of the membership functions of the FLC to obtain the optimal controller. Simulation results are implemented in Simulink showing the feasibility of the proposed approach. © 2010 IEEE.


Fimbres-Castro C.,UABC | Alvarez-Borrego J.,Carretera Ensenada Tijuana No. 3918
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2013

In this work a new methodology to recognize objects is presented. This system is invariant to position, rotation and scale by using identity vectors signatures Is obtained for both the target and the problem image. In this application, Is are obtained by means of a simplification of the main features of the original image in addition of the properties of the Fourier transform. The nonlinear correlation by using a kth law is used to obtain the digital correlation providing information on the similarity between different objects besides their great capacity to discriminate them even when are very similar. This new methodology recognizes objects in a more simple way providing a significant reduction of the image information of size m x n to one-dimensional vector of 1 x 256 consequently with low computational cost of approximately 0.02 s per image. In addition, the statistics of Euclidean distances is used as an alternative methodology for comparison of identity vectors signatures. Also, experiments were carried out in order to find the noise tolerance. The invariant to position, rotation and scale of this digital system was tested with different species of fish (real images). The results obtained have a confidence level above 95.4%. © 2013 SPIE.


Solis Ventura A.,CICESE | Alvarez Borrego J.,CICESE | Solorza S.,UABC
Optics Communications | Year: 2015

A new adaptive methodology for pattern recognition invariant to scale, rotation and translation is presented. In order to get rotation invariance, this methodology generates an adaptive binary rings mask taking information from the 2D separable scale transform of the target image. With this mask a vectorial signature is generated getting samples from the scale transformation of the target image and it does the same for every problem image. Finally, by the use of a new adaptive nonlinear correlation, the comparison of the signatures of the target and the problem image were done. The performance of this methodology has been experimental verified with a statistical analysis, to know the mean correlation confidence level in the classification of 30 different phytoplankton images in gray scale with rotations from 0° to 180° and ±10% of maximum scale variation with respect to the target image. © 2014 Elsevier B.V. All rights reserved.

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