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Luna-Aguirre C.M.,Autonomous University of Nuevo León | Araiza-Chavez J.,Hospital Of Zone No 6 | Trevino V.,ITESM
Asia-Pacific Journal of Clinical Oncology | Year: 2013

Aims: To develop new biomarkers for early detection and to inform effective clinical management of breast cancer. Methods: Real-time polymerase chain reaction was used to profile microRNA (miRNA) in tumor tissue from 50 breast cancer patients using non-tumor breast tissue from each patient as a control. We have focussed on three miRNA; miR-21, miR-125b and miR-191, all of which have been implicated in breast cancer with either proven or predicted target genes involved in critical cancer-associated cellular pathways. Results: Upregulation of miR-21 and miR-191 and downregulation of miR-125b, was found in breast cancer tissue. Combined expression analysis of miR-125b/miR-191 increased sensitivity to 100% and specificity to 94% while miR-21/miR-191 increased to 92% and 100%, respectively. Therefore, combination of two miRNA gives a better prediction than individual miRNA. Conclusions: We could differentiate between breast cancer and adjacent non-tumor breast tissue as a control with a high degree of sensitivity and specificity in the Mexican population using a combined expression analysis of only two miRNA. These observations, although a proof of principle finding at this time, show that a combined expression profile of two miRNA (miR-125b/miR-191 and miR-21/miR-191) can discriminate between breast cancer and non-tumor tissue with high specificity and sensitivity. © 2012 Wiley Publishing Asia Pty Ltd.

Lozano R.,University of Leeds | Lukman R.,University of Maribor | Lozano F.J.,ITESM | Huisingh D.,University of Tennessee at Knoxville | Lambrechts W.,Hogeschool University Brussel
Journal of Cleaner Production | Year: 2013

In spite of a number of Sustainable Development (SD) initiatives and an increasing number of universities becoming engaged with SD, most higher education institutions (HEIs) continue to be traditional, and rely upon Newtonian and Cartesian reductionist and mechanistic paradigms. As a result many universities are still lagging behind companies in helping societies become more sustainable. This paper analyses the texts of eleven declarations, charters, and partnerships developed for HEIs, which can be considered to represent university leaders' intentions to help improve the effectiveness of Education for Sustainable Development (ESD). The analysis was done against two sets of criteria: (1) the university system, including curricula, research, physical plant operations, outreach and engagement with stakeholders, and assessment and reporting; and (2) the texts' complexity, number of bullet points, and number of words. The analysis was done continuously; whenever a new element was found in a text it was added to the university system (first criteria set) and applied to the analysis of the other texts. In this way, the system was augmented with the following elements: collaborating with other universities; fostering transdisciplinarity; making SD an integral part of the institutional framework; creating on-campus life experiences; and 'Educating-the-Educators'. The authors of the paper propose that for universities to become sustainability leaders and change drivers, they must ensure that the needs of present and future generations be better understood and built upon, so that professionals who are well versed in SD can effectively educate students of 'all ages' to help make the transition to 'sustainable societal patterns'. In order to do so, university leaders and staff must be empowered to catalyse and implement new paradigms, and ensure that SD is the 'Golden Thread' throughout the entire university system. © 2011 Elsevier Ltd. All rights reserved.

Alexandrov N.,Barcelona Supercomputing Center | Alexandrov N.,University of Reading | Alexandrov V.,Barcelona Supercomputing Center | Ramirez R.,ITESM
Procedia Computer Science | Year: 2012

This paper is focused on the role of Computational Science and emerging technologies in the natural sciences education at university level. We outline our Integrated Metacognitive Process Model (IMPM) and our Collaborative Learning approach based on Collaborative Creative Cross-Pollination activity model at postgraduate level. We present our multidisciplinary approach based on the following three components: the existence of multidisciplinary research environment (non-silos departmental culture), computational science research methods as core part of the curricula and collaborative teaching activities facilitated by novel collaborative tools using Collaborative Creative Cross-Pollination. Some results showing the advantages of such an environment and approach are presented. The initial results have shown overall average improvement of the average marks with around 5% plus clear satisfaction of the students as evident from their responses to the course evaluation. © 2012 Published by Elsevier Ltd.

Lopez G.,ITESM | Brena R.,ITESM
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

The abundance of sensors in daily life infrastructures and mobile devices can allow to determine what the users are doing, which is the situation of the environment they are in, and therefore what needs they can have and take action accordingly. Artificial Intelligence techniques are applied in order to give the users the functionality that best suits their needs. This is what is called "context-aware computing". The term "Ambient Intelligence" refers to this technology and emphasizes the incorporation of local intelligence to computing components. Ambient Intelligence is a huge field that goes from the acquisition of data from the environment, to fusioning the gathered information and data, to extracting situation characteristics, and to finally selecting and providing adequate information and services based on the extracted context. There are many applications of this technology. In this research paper, we present a Temporal Probabilistic Graphical Model based on Context Extraction Modules for Situation Modeling applications. This model is implemented and analyzed in the context of a Health Condition Monitoring System for recognizing and keeping track of changes in the Activities of Daily Living, an elderly care indicator used to detect emerging medical conditions. © Springer International Publishing 2013.

Guevara-Souza M.,ITESM | Vallejo E.E.,ITESM
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

This paper introduces a new evolutionary algorithm for solving multi-objective optimization problems. The proposed algorithm simulates the infection of the endosymbiotic bacteria Wolbachia to improve the evolutionary search. We conducted a series of experiments to compare the results of the proposed algorithm to those obtained by state of the art multi-objective evolutionary algorithms (MOEAs) at solving the ZDT test suite. Our experimental results show that the proposed model outperforms established MOEAs at solving most of the test problems. © Springer-Verlag 2013.

Kalashnikov V.,ITESM | Camacho F.,ITESM | Askin R.,Arizona State University | Kalashnykova N.,University of León
International Journal of Innovative Computing, Information and Control | Year: 2010

In this paper, we consider the problem of assigning optimal tolls to the arcs of a multi-commodity transportation network. The problem is formulated as a bi-level mathematical program where the upper level is managed by a firm that raises revenues from tolls set on arcs of the network and the lower level is represented by a group of car users traveling along the cheapest paths with respect to a generalized travel cost. The problem can be interpreted as finding an equilibrium among tolls generating high revenues and tolls attracting customers. We describe the bi-level programming model and discuss the underlying assumptions. Next, we propose and evaluate four algorithms based on different principles to solve the toll optimization problem. In order to solve this problem efficiently, we first reformulate it as a standard mathematical program and describe a penalty-function algorithm for its solution. The algorithm is well-founded and its convergence is established. We then detail a proposed quasi-Newton-type algorithm, a gradient approximation-based algorithm, and a direct method making use of the Nelder-Mead flexible simplex search. The results of the numerical experiments support the algorithms' robustness. ICIC International © 2010 ISSN.

Razo-Zapata I.S.,Monterrey Institute of Technology | Mex-Perera C.,Monterrey Institute of Technology | Monroy R.,ITESM
Journal of Systems and Software | Year: 2012

This paper presents a set of methods for building masquerade attacks. Each method takes into account the profile of the user to be impersonated, thus capturing an intruder strategy. Knowledge about user behavior is extracted from several statistics, including the frequency at which a user types a specific group of commands. It is then expressed by rules, which are applied to synthesize computer sessions that mimic the attack as ordinary user behavior. The masquerade attack datasets have been validated by making a set of Intrusion Detection Systems (IDS) try to detect user impersonation, this way showing the capabilities of each masquerade synthesis method for evading detection. Results demonstrate that a better performance of masquerade attacks can be obtained by using methods based on behavioral rules rather than those based only on a single statistic. Summing up, masquerade attacks exhibit a good strategy for bypassing an IDS. © 2012 Elsevier Inc. All rights reserved.

Rodriguez-Betancourtt V.-M.,University of Guadalajara | Quezada-Navarro V.-M.,ITESM | Neff M.,University of Stuttgart | Rauhut G.,University of Stuttgart
Chemical Physics | Year: 2011

Fundamental vibrational transitions of fluorine fulminate (FCNO), fluorine isofulminate (FONC), fluorine cyanate (FOCN), fluorine isocyanate (FNCO) and their sulfur containing analogues have been determined from state-specific vibrational configuration interaction calculations (VCI) based on potential energy surfaces obtained from explicitly correlated coupled-cluster calculations, CCSD(T)-F12a. While the agreement with available experimental data was found to be excellent for the FNCO isomer, the data provided for all other isomers constitute theoretical predictions. © 2011 Elsevier B.V. All rights reserved.

Cepeda J.S.,ITESM | Chaimowicz L.,Federal University of Minas Gerais | Soto R.,ITESM
Proceedings - 2010 Latin American Robotics Symposium and Intelligent Robotics Meeting, LARS 2010 | Year: 2010

When working with mobile robots, a typical task consists in developing simulated tests before going towards the real implementations. Nevertheless, this simulation stage may be very time consuming for setting-up environments and robots. Also, after demonstrating that things worked well in the simulated environment, implementing algorithms in the real robots demands an extra time consuming stage that requires for the programmer to adapt the code for the real connections. Once this is done, the real world problems come to be the core of challenges in the mobile robotics research area. In that way, service-oriented robotics is starting to provide a path for quick simulation and real implementation setups. In this paper, we make use of the Microsoft Robotics Developer Studio (MSRDS) and a Mobile Robots Pioneer 3-AT robot for exploring its behavior under different service providers. Experiments are shown for demonstrating simulated and real tests using technologies as: speech recognition, vision, and sensor-based navigation. Also, information about the main functionality of MSRDS, including VPL and SPL, is presented. © 2010 IEEE.

Aparisi F.,Polytechnic University of Valencia | De Luna M.A.,ITESM | Epprecht E.,Pontifical Catholic University of Rio de Janeiro
International Journal of Production Research | Year: 2010

When a multivariate process is to be monitored, there are the options of employing a set of univariate control charts or a single multivariate chart. This paper shows how to effectively design a multivariate control scheme consisting of two or three X̄ charts, using genetic algorithms to optimise the charts parameters. The procedure is implemented using software tools, which we designed. A complete performance comparison of the scheme with the Hotelling's T2 control chart can be made in order to help the user in choosing the most adequate option for the process under consideration. Also, if the user prefers to employ charts based on principal components rather than on the original variables, the software can be used in the same way to optimise a set of two or three control charts based on these components, and to compare their performance with the performance of the T2 chart on the principal components. © 2010 Taylor & Francis.

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