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Huixquilucan, Mexico

Zevallos H.B.-V.,University of Sydney | Zevallos H.B.-V.,University Anahuac | Mckinnon B.,University of Bern | Tokushige N.,University of Sydney | And 3 more authors.
Archives of Gynecology and Obstetrics | Year: 2015

Purpose To assess endometrial gene as well as protein expression of neuroendocrine and supposedly endometriosis- associated product PGP9.5 and pain symptoms in women with endometriosis and controls undergoing laparoscopy, using molecular biological and immuno-histochemical approaches in the same patients. Methods Biopsy of eutopic endometrium from 29 patients by sharp curettage, and preparation of paraffin blocks. Determination of PGP9.5 gene expression and protein abundance using qPCR and immuno-histochemistry. Results qPCR; The PGP9.5 mRNA expression level between women with (N = 16) and without (N = 13) endometriosis was not different, regardless of pain symptoms or menstrual cycle phase. PGP9.5 expression was higher in women who reported pain compared to those who did not; however, this association was not statistically significant. The expression of PGP9.5 mRNA was higher in women with endometriosis and pain during the proliferative than in the secretory phase (P = 0.03). Furthermore, in the first half of the cycle, the abundance of the PGP9.5 transcript was also significantly higher in endometriosis patients compared to those without (P = 0.03). Immunohistochemistry; Thirteen of the 16 endometriosis patients showed positive PGP9.5 immuno-reactivity in the endometrium, whereas no such signal was observed in women without endometriosis. The absolute number of nerve fibres per mm2 in women with endometriosis was similar, regardless of the pain symptoms. Conclusions PGP9.5 mRNA expression is increased in the proliferative phase of endometriotic women with pain. The presence of nerve fibres was demonstrated by a PGP9.5 protein signal in immuno-histochemistry and restricted to patients with endometriosis. Based on these results, however, there did not appear to be a direct association between the gene expression and protein abundance in women with and without endometriosis or those that experienced pain. © Springer-Verlag Berlin Heidelberg 2014. Source


Lobaina A.L.,University Anahuac
2015 International Conference on Computing Systems and Telematics, ICCSAT 2015 | Year: 2015

Communications and transmissions tend increasingly to be digital, because of this television signals are leaving transmit with analog standards. For this reason, it is important to teach and analyze the necessary information to implement the Digital Terrestrial Television (DTT). In this case we are going to focus on the ATSC (Advance Television System Committee) standard, which is what Mexico has adopted. The aim of this article is to present a new method of practical teaching for the Radio-communication area in general and particularly the matter "Digital Television" so the student can understand and analyze the different stages of coding, modulation, transmission and reception of the Digital Terrestrial Television (DTT) through Software Defined Radio (SDR). To develop Software Defined Radio (SDR) and follow the trend towards digital transmissions, there are some devices that implement various communication protocols, including UMTS, GSM, WIFI, Bluetooth, etc. With this we have been developed projects of free software such as GNU Radio and USRP software. GNU Radio can operate as a Simulator or with the computer sound card. © 2015 IEEE. Source


Figueroa-Lara A.,Security Innovation | Gonzalez-Block M.A.,University Anahuac | Alarcon-Irigoyen J.,Health Policy and Program Design
PLoS ONE | Year: 2016

Background: Chronic diseases (CD) are a public health emergency in Mexico. Despite concern regarding the financial burden of CDs in the country, economic studies have focused only on diabetes, hypertension, and cancer. Furthermore, these estimated financial burdens were based on hypothetical epidemiology models or ideal healthcare scenarios. The present study estimates the annual expenditure per patient and the financial burden for the nine most prevalent CDs, excluding cancer, for each of the two largest public health providers in the country: the Ministry of Health (MoH) and the Mexican Institute of Social Security (IMSS). Methods: Using the Mexican National Health and Nutrition Survey 2012 (ENSANUT) as the main source of data, health services consumption related to CDs was obtained from patient reports. Unit costs for each provided health service (e.g. consultation, drugs, hospitalization) were obtained from official reports. Prevalence data was obtained from the published literature. Annual expenditure due to health services consumption was calculated by multiplying the quantity of services consumed by the unit cost of each health service. Results: The most expensive CD in both health institutions was chronic kidney disease (CKD), with an annual unit cost for MoH per patient of US$ 8,966 while for IMSS the expenditure was US$ 9,091. Four CDs (CKD, arterial hypertension, type 2 diabetes, and chronic ischemic heart disease) accounted for 88% of the total CDs financial burden (US$ 1.42 billion) in MoH and 85% (US$ 3.96 billion) in IMSS. The financial burden of the nine CDs analyzed represents 8% and 25% of the total annual MoH and IMSS health expenditure, respectively. Conclusions/Significance: The financial burden from the nine most prevalent CDs, excluding cancer, is already high in Mexico. This finding by itself argues for the need to improve health promotion and disease detection, diagnosis, and treatment to ensure CD primary and secondary prevention. If the status quo remains, the financial burden could be higher. © 2016 Figueroa-Lara et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Source


Gonzalez X.,CINVESTAV | Ramirez J.M.,CINVESTAV | Marmolejo J.A.,University Anahuac | Caicedo G.,University of Valle
Electric Power Systems Research | Year: 2015

As power systems are large interconnected systems with a high degree of complexity, the control and operation of such systems become a challenging task. Thus, large-scale power systems are mostly operated as interconnected subsystems. In this paper, the state estimation problem is addressed through a decentralized optimization scheme with minimum information exchange among subsystems. This paper focuses on a methodology for solving the multiarea state estimation problem by a decomposition method. This method is derived from the Lagrangian relaxation method and is named optimality condition decomposition (OCD). Results are presented for the IEEE 118-buses test power system, which has been split into two and three subsystems. © 2015 Elsevier B.V. All rights reserved. Source


Polanco C.,University Anahuac | Buhse T.,Autonomous University of the State of Morelos | Samaniego J.L.,University Anahuac | Castanon-Gonzalez J.A.,University Anahuac
Acta Biochimica Polonica | Year: 2013

Antimicrobial peptides occupy a prominent place in the production of pharmaceuticals, because of their effective contribution to the protection of the immune system against almost all types of pathogens. These peptides are thoroughly studiedby computational methods designed to shed light on their main functions. In this paper, we propose a computational approach, named the Polarity Profile method that represents an improvement to the former Polarity Index method. The Polarity Profile method is very effective in detecting the subgroup of antibacterial peptides called selective cationic amphipathic antibacterial peptides (SCAAP) that show high toxicity towards bacterial membranes and exhibit almost zero toxicity towards mammalian cells. Our study was restricted to the peptides listed in the antimicrobial peptides database (APD2) of December 19, 2012. Performance of the Polarity Profile method is demonstrated through a comparison to the former Polarity Index method byusing the same sets of peptides. The efficiency of the Polarity Profile method exceeds 85% taking into account the false positive and/or false negative peptides. Source

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