• Modelling gene expression profiles related to prostate tumor progression using binary states

      Martinez, Emmanuel; Trevino, Victor (Open Access Publisher, 31/05/2013)
      Abstract Background Cancer is a complex disease commonly characterized by the disrupted activity of several cancer-related genes such as oncogenes and tumor-suppressor genes. Previous studies suggest that the process of tumor progression to malignancy is dynamic and can be traced by changes in gene expression. Despite the enormous efforts made for differential expression detection and biomarker discovery, few methods have been designed to model the gene expression level to tumor stage during malignancy progression. Such models could help us understand the dynamics and simplify or reveal the complexity of tumor progression. Methods We have modeled an on-off state of gene activation per sample then per stage to select gene expression profiles associated to tumor progression. The selection is guided by statistical significance of profiles based on random permutated datasets. Results We show that our method identifies expected profiles corresponding to oncogenes and tumor suppressor genes in a prostate tumor progression dataset. Comparisons with other methods support our findings and indicate that a considerable proportion of significant profiles is not found by other statistical tests commonly used to detect differential expression between tumor stages nor found by other tailored methods. Ontology and pathway analysis concurred with these findings. Conclusions Results suggest that our methodology may be a valuable tool to study tumor malignancy progression, which might reveal novel cancer therapies.
    • MIMO channel capacity using antenna selection and water pouring

      Cuan Cortes, Jose V.; Vargas-Rosales, Cesar; Munoz Rodriguez, David (Springer Open, 30/12/2014)
      Abstract The use of multiple-input multiple-output (MIMO) communication systems has attracted considerable attention due to capacity and performance improvements without increasing the required bandwidth or transmission power. Although MIMO improves the transmission rate and provides reliable communication, these advantages come at a high cost, since multiple radio frequency (RF) chains have to be employed. Therefore, cost-effective implementation of MIMO systems remains as an important challenge. In this sense, antenna selection techniques (AST) can help reduce the high cost of MIMO systems, while retaining most of their benefits; and in order to improve channel capacity, transmission power can be allocated efficiently according to the channel experienced by each antenna element. In this paper, we show the channel capacity improvement of MIMO systems, by combining the use of AST and transmission power allocation through the water-pouring algorithm (WPA) for different antenna configurations. We apply WPA and allocate more power to the channel with better conditions, when the MIMO channel is Rayleigh distributed and noise is Gaussian. By employing these two techniques (AST and WPA), we show that channel capacity is significantly improved, with higher capacity values than those obtained using traditional systems which just spread equal power among all the transmit antennas. We also show that bounds on the capacity can be considered when these improvements are used in a MIMO system.
    • Protein adsorption through Chitosan–Alginate membranes for potential applications

      Murguía Flores, Dennise A.; Bonilla Ríos, Jaime; Canales Fiscal, Martha R.; Sánchez Fernández, Antonio; Tecnologico de Monterrey (Springer Open, 30/04/2016)
      Abstract Background Chitosan and Alginate were used as biopolymers to prepare membranes for protein adsorption. The network requires a cross-linker able to form bridges between polymeric chains. Viscopearl-mini® (VM) was used as a support to synthesize them. Six different types of membranes were prepared using the main compounds of the matrix: VM, Chitosan of low and medium molecular weight, and Alginate. Results Experiments were carried out to analyze the interactions within the matrix and improvements were found against porous cellulose beads. SEM characterization showed dispersion in the compounds. According to TGA, thermal behaviour remains similar for all compounds. Mechanical tests demonstrate the modulus of the composites increases for all samples, with major impact on materials containing VM. The adsorption capacity results showed that with the removal of globular protein, as the adsorbed amount increased, the adsorption percentage of Myoglobin from Horse Heart (MHH) decreased. Molecular electrostatic potential studies of Chitosan–Alginate have been performed by density functional theory (DFT) and ONIOM calculations (Our own N-layered integrated molecular orbital and molecular mechanics) which model large molecules by defining two or three layers within the structure that are treated at different levels of accuracy, at B3LYP/6-31G(d) and PM6/6-31G(d) level of theory, using PCM (polarizable continuum model) solvation model. Conclusions Finally, Viscopearl-mini® acts as a suitable support on the matrix for the synthesis of Chitosan–Alginate membranes instead of cross-linkers usage. Therefore, it suggests that it is a promise material for potential applications, such as: biomedical, wastewater treatment, among others. Graphical abstract Chitosan, Alginate, and Cellulose beads-based membranes for protein adsorption. Special attention was given for preparation, charaterization, adsorption capacity, and molecular electrostatic potential studies calculation. Viscopearl-mini® gives support on the matrix of Chitosan–Alginate membranes instead of cross-linkers usage
    • Integration and comparison of different genomic data for outcome prediction in cancer

      Gomez Rueda, Hugo; Martínez Ledesma, Emmanuel; Martínez Torteya, Antonio; Palacios Corona, Rebeca; Treviño, Victor; Tecnologico de Monterrey (Open Access Publisher, 29/10/2005)
      In cancer, large-scale technologies such as next-generation sequencing and microarrays have produced a wide number of genomic features such as DNA copy number alterations (CNA), mRNA expression (EXPR), microRNA expression (MIRNA), and DNA somatic mutations (MUT), among others. Several analyses of a specific type of these genomic data have generated many prognostic biomarkers in cancer. However, it is uncertain which of these data is more powerful and whether the best data-type is cancer-type dependent. Therefore, our purpose is to characterize the prognostic power of models obtained from different genomic data types, cancer types, and algorithms. For this, we compared the prognostic power using the concordance and prognostic index of models obtained from EXPR, MIRNA, CNA, MUT data and their integration for ovarian serous cystadenocarcinoma (OV), multiform glioblastoma (GBM), lung adenocarcinoma (LUAD), and breast cancer (BRCA) datasets from The Cancer Genome Atlas repository. We used three different algorithms for prognostic model selection based on constrained particle swarm optimization (CPSO), network feature selection (NFS), and least absolute shrinkage and selection operator (LASSO).
    • Reference values for amino acids and acylcarnitines in peripheral blood in Quarter horses and American Miniature horses

      Rodríguez-Sánchez, Irám P.; Treviño Alvarado, Víctor M.; del Rosario Torres-Sepúlveda, María; López Saldaña, Liliana A.; Ponce García, Gustavo; López Uriarte, Graciela A.; del Consuelo Ruiz-Herrera, María; Zamora Ávila, Diana E.; Villarreal Pérez, Jesús Z.; Dávalos Aranda, Guillermo; Martínez de Villarreal, Laura E. (Springer Open, 29/09/2015)
      Abstract Background Free amino acids and acylcarnitines circulating in the blood can be used for diagnosis for metabolic illness and imbalances. To date, the normal reference ranges of amino acids and acylcarnitines in horse peripheral blood have not been established. In this study, the concentrations of 12 amino acids and 26 acylcarnitines were determined by tandem mass spectrometry in complete blood from 100 healthy horses (50 Quarter horses (QH) [23 males and 27 females] and 50 American Miniature horses (AMH) [15 males and 35 females]) with no signs of metabolic disease. The means and standard deviations were determined and data statistically analyzed. Findings Concentrations of short, medium, and long chain acylcarnitines were significantly higher in male AMH than in male QH. The concentrations of the amino acids alanine, arginine, glycine, proline (glycogenic), and leucine (ketogenic) were higher in the QH than in the AMH. Female AMH had higher concentrations of propionylcarnitine, leucine, proline, arginine, and ornithine than female QH. Conclusions Normal reference ranges of amino acids and acylcarnitines were established for AMH and QH. Significant differences were found in concentration of these compounds between breeds and gender.
    • Protective mechanisms of medicinal plants targeting hepatic stellate cell activation and extracellular matrix deposition in liver fibrosis

      Duval, Florent; Moreno Cuevas, Jorge E.; González Garza y Barrón, María T.; Rodríguez Montalvo, Carlos; Cruz Vega, Delia E. (Springer Open, 24/12/2014)
      Abstract During chronic liver injury, hepatic stellate cells (HSC) are activated and proliferate, which causes excessive extracellular matrix (ECM) deposition, leading to scar formation and fibrosis. Medicinal plants are gaining popularity as antifibrotic agents, and are often safe, cost-effective, and versatile. This review aims to describe the protective role and mechanisms of medicinal plants in the inhibition of HSC activation and ECM deposition during the pathogenesis of liver fibrosis. A systematic literature review on the anti-fibrotic mechanisms of hepatoprotective plants was performed in PubMed, which yielded articles about twelve relevant plants. Many of these plants act via disruption of the transforming growth factor beta 1 signaling pathway, possibly through reduction in oxidative stress. This reduction could explain the inhibition of HSC activation and reduction in ECM deposition. Medicinal plants could be a source of anti-liver fibrosis compounds.
    • Comparative genomics of bacterial and plant folate synthesis and salvage: predictions and validations

      de Crécy Lagard, Valérie; El Yacoubi, Basma; de la Garza, Rocío D; Noiriel, Alexandre; Hanson, Andrew D; Tecnologico de Monterrey (Open Access Publisher, 23/07/2007)
      Abstract Background Folate synthesis and salvage pathways are relatively well known from classical biochemistry and genetics but they have not been subjected to comparative genomic analysis. The availability of genome sequences from hundreds of diverse bacteria, and from Arabidopsis thaliana, enabled such an analysis using the SEED database and its tools. This study reports the results of the analysis and integrates them with new and existing experimental data. Results Based on sequence similarity and the clustering, fusion, and phylogenetic distribution of genes, several functional predictions emerged from this analysis. For bacteria, these included the existence of novel GTP cyclohydrolase I and folylpolyglutamate synthase gene families, and of a trifunctional p-aminobenzoate synthesis gene. For plants and bacteria, the predictions comprised the identities of a 'missing' folate synthesis gene (folQ) and of a folate transporter, and the absence from plants of a folate salvage enzyme. Genetic and biochemical tests bore out these predictions. Conclusion For bacteria, these results demonstrate that much can be learnt from comparative genomics, even for well-explored primary metabolic pathways. For plants, the findings particularly illustrate the potential for rapid functional assignment of unknown genes that have prokaryotic homologs, by analyzing which genes are associated with the latter. More generally, our data indicate how combined genomic analysis of both plants and prokaryotes can be more powerful than isolated examination of either group alone.
    • Metabolism of 4-chloro-2-nitrophenol in a Gram-positive bacterium, Exiguobacterium sp. PMA

      Arora, Pankaj K.; Sharma, Ashutosh; Mehta, Richa; Shenoy, Belle D.; Srivastava, Alok; Singh, Vijay P.; Tecnologico de Monterrey (Open Access Publisher, 21/11/2012)
      Abstract Background Chloronitrophenols (CNPs) are widely used in the synthesis of dyes, drugs and pesticides, and constitute a major group of environmental pollutants. 4-Chloro-2-nitrophenol (4C2NP) is an isomer of CNPs that has been detected in various industrial effluents. A number of physicochemical methods have been used for treatment of wastewater containing 4C2NP. These methods are not as effective as microbial degradation, however. Results A 4C2NP-degrading bacterium, Exiguobacterium sp. PMA, which uses 4C2NP as the sole carbon and energy source was isolated from a chemically-contaminated site in India. Exiguobacterium sp. PMA degraded 4C2NP with the release of stoichiometeric amounts of chloride and ammonium ions. The effects of different substrate concentrations and various inoculum sizes on degradation of 4C2NP were investigated. Exiguobacterium sp. PMA degraded 4C2NP up to a concentration of 0.6 mM. High performance liquid chromatography and gas chromatography–mass spectrometry identified 4-chloro-2-aminophenol (4C2AP) and 2-aminophenol (2AP) as possible metabolites of the 4C2NP degradation pathway. The crude extract of 4C2NP-induced PMA cells contained enzymatic activity for 4C2NP reductase and 4C2AP dehalogenase, suggesting the involvement of these enzymes in the degradation of 4C2NP. Microcosm studies using sterile and non-sterile soils spiked with 4C2NP were carried out to monitor the bioremediation potential of Exiguobacterium sp. PMA. The bioremediation of 4C2NP by Exiguobacterium sp. PMA was faster in non-sterilized soil than sterilized soil. Conclusions Our studies indicate that Exiguobacterium sp. PMA may be useful for the bioremediation of 4C2NP-contaminated sites. This is the first report of (i) the formation of 2AP in the 4C2NP degradation pathway by any bacterium and (iii) the bioremediation of 4C2NP by any bacterium.
    • Novel way to investigate evolution of children refractory epilepsy by complexity metrics in massive information

      Zavala Yoe, Ricardo; Ramírez Mendoza, Ricardo A.; Cordero, Luz M.; Tecnologico de Monterrey (SpringerOpen Journal, 21/08/2015)
      Abstract Epilepsy demands a major burden at global levels. Worldwide, about 1% of people suffer epilepsy and 30% of them (0.3%) are anticonvulsants resistant. Among them, some children epilepsies are peculiarly difficult to deal with as Doose syndrome (DS). Doose syndrome is a very complicated type of children cryptogenic refractory epilepsy (CCRE) which is traditionally studied by analysis of complex electrencephalograms (EEG) by neurologists. CCRE are affections which evolve in a course of many years and customarily, questions such as on which year was the kid healthiest (less seizures) and on which region of the brain (channel) the affection has been progressing more negatively are very difficult or even impossible to answer as a result of the quantity of EEG recorded through the patient’s life. These questions can now be answered by the application of entropies to massive information contained in many EEG. CCRE can not always be cured and have not been investigated from a mathematical viewpoint as far as we are concerned. In this work, a set of 80 time series (distributed equally in four yearly recorded EEG) is studied in order to support pediatrician neurologists to understand better the evolution of this syndrome in the long term. Our contribution is to support multichannel long term analysis of CCRE by observing simple entropy plots instead of studying long rolls of traditional EEG graphs. A comparative analysis among aproximate entropy, sample entropy, our versions of multiscale entropy (MSE) and composite multiscale entropy revealed that our refined MSE was the most convenient complexity measure to describe DS. Additionally, a new entropy parameter is proposed and is referred to as bivariate MSE (BMSE). Such BMSE will provide graphical information in much longer term than MSE.
    • The use of gamification as a teaching methodology in a MOOC about the strategic energy reform in México

      Mena, Juan José; Rincón Flores, Elvira G; Ramírez Ramírez, Raúl; Ramírez Montoya, María Soledad; Universidad de Salamanca (2019-08)
      The irruption of online programs in education such as MOOCs is pushing educators to promote new ways of teaching to engage students. Nonetheless, most higher education teachers are not trained in the practices of e-learning. In this paper, we study the effects of gamification to see whether it better promotes learning. Over 6,000 participants enrolled in the MOOC entitled “Conventional and green energy sources” and 1,016 eventually completed it.  Main results indicate that for all participants’ profiles (i.e., gender, age, and educational level) the completion of a gamification challenge at the end of the course favored their learning as shown in a final test scores. This lead us to think that gamification improves students’ performance in online teaching. However, there are technical limitations associated to the courses platforms that need to be solved to be able to use non-traditional learning approaches.
    • Student engagement as predictor of xMOOC completion: An analysis from five courses on energy sustainability

      Guajardo-Leal, Brenda E.; Valenzuela González, Jaime Ricardo; Scott, John (2019)
      Error, no me deja copiar y pegar
    • Systematic Mapping Study of Academic Engagement in MOOC

      Guajardo-Leal, Brenda Edith; Navarro-Corona, Claudia; Valenzuela González, Jaime Ricardo (2019)
      error, no deja copiar y pegar
    • En búsqueda del entendimiento en una torre de Babel: propuesta de un modelo para la innovación educativa en redes de colaboración

      García Vázquez, Nancy Janett; Guajardo-Leal, Brenda Edith; Valenzuela González, Jaime Ricardo (Ediciones Universidad de Salamanca, 2018-12-31)
      Las redes de colaboración potencialmente permiten el desarrollo de innovaciones que generan cambios de alto impacto. Los miembros de una red de esta índole tienen siempre objetivos en común, pero también se caracterizan por tener una amplia diversidad de perfiles: distintos idiomas, disciplinas, experiencias profesionales y niveles educativos, entre otras cualidades. Esto puede, en ocasiones, dificultar el entendimiento entre ellos cuando se ha de trabajar colaborativamente. Este artículo presenta el caso de estudio de una red de innovación educativa; se describe su propósito, su dinámica de trabajo y una serie de tensiones experimentadas en procesos de colaboración. Las tensiones son retos a superar derivados de un trabajo entre personas con características múltiples; y representan conexiones entre los nodos de una red que deben ser atendidas para evitar posibles rupturas. Las tensiones detectadas se tomaron como oportunidades para crear una propuesta de modelo para la colaboración. Dicho modelo tiene como objetivo facilitar los procesos de comunicación y trabajo entre los integrantes de un grupo, promoviendo una colaboración más eficiente.
    • La posibilidad de creencias religioso-regionales. Una aproximación desde el significado de la religión católica en el Occidente de México

      Coss y León Coss y León, Domingo; Vázquez Parra, José C.; Escuela de Humanidades y Educación (Universidad de Costa Rica, 2018-12)
      Cuando hablamos de creencias religiosas, es usual que hagamos referencia a un sistema ideológico por medio del cual un individuo se relaciona con su Dios. Sin embargo, hay algunos de estos códigos morales que consiguen trascender del terreno plenamente espiritual, influyendo de manera muy considerable en la forma en que los individuos se comportan o deciden en la sociedad. El presente artículo busca exponer la posibilidad de creencias de tipo religioso-regionales, las cuales un individuo de una cierta población o ciudad adopte como parte de su forma de ser y elegir, o incluso, como una característica propia de pertenencia, más allá del sentido exclusivamente religioso.
    • Evaluación de una innovación educativa abierta, colaborativa y multidisciplinar integrada a un MOOC para formar en sustentabilidad energética

      Valenzuela-Arvizu, Siria Y.; Ramírez-Montoya, María S. (2018-12)
      La innovación abierta es una nueva modalidad de trabajo en donde los límites de participación se extienden hacia diversos expertos, tanto internos como externos a la organización que la promueve. La presente ponencia, parte de la pregunta: ¿Cómo se perciben los aspectos esenciales de la evaluación de una innovación educativa, abierta, colaborativa y multidisciplinar integrada a un curso MOOC para formar en sustentabilidad energética?. La metodología de investigación utilizada es mixta de diseño concurrente con estrategia de triangulación. La población analizada, corresponde al equipo de MOOC y alumnos participantes en un curso masivo abierto en sustentabilidad energética, se utilizó una muestra cuantitativa de conveniencia no probabilística de 482 estudiantes; además de una muestra cualitativa deliberada y no aleatoria de 7 integrantes del equipo de MOOC. Los instrumentos utilizados fueron encuesta, cuestionario y entrevista, que ofrecieron información para evaluar la innovación implementada con la integración de estrategias educativas en el curso, mediante el análisis de aspectos de evaluación de un proyecto de innovación, demostrando efectos positivos en el nivel satisfacción de los integrantes del equipo MOOC, así como en los estudiantes, reflejado en mayor índice de eficiencia terminal de los usuarios inscritos en el mismo.
    • Competencias de emprendimiento e innovación en el MOOC Mercados de Carbono

      Beltrán, Martha; Ramírez-Ramírez, Leticia; Ramírez-Montoya, María Soledad; Mancilla, Yazmani; Ramírez-Montoya, María Soledad; Mendoza-Domínguez, Alberto (Narcea, 2018-12)
      La sustentabilidad energética es uno de los grandes cambios de la era actual. En el contexto de la reforma energética en México aparece como una realidad imperante el uso de energías alternativas que promuevan el bienestar ecológico y coadyuven en la mitigación del cambio climático. El curso masivo abierto en línea (MOOC) “Mercados de Carbono”ofrece una nueva visión sobre las oportunidades que la reducción de las emisiones de gases de efecto invernadero (GEI) brinda, y permite al participante descubrir oportunidades de negocio en mercados ambientales, aprender sobre las implicaciones de los gases contaminantes y las fuentes que emiten gases como el monóxido de carbono, metano, dióxido de azufre, entre otros. El presente capítulo tiene por objetivo analizar las competencias de innovación y emprendimiento inmersas en el diseño y vivencia del curso masivo abierto (MOOC) Mercados de Carbono. En el curso MOOC, participaron 2,371 personas y, con el método mixto, se estudiaron datos cuantitativos con encuestas y cualitativos con entrevista y análisis de foros de discusión. Los resultados dan cuenta de la innovación en el diseño y las competencias de emprendimiento: oportunidades de negocio, planificación, creación de proyectos vinculados a mercados energéticos.
    • RITEC & CRIS: Interoperabilidad para visibilidad y medición del impacto de la producción científica energética

      González-Pérez, Laura Icela; Ramírez-Montoya, María-Soledad; García-Peñalvo, Francisco José; Ceballos Cancino, Héctor; Juárez, Erika; Ramírez-Montoya, María-Soledad; Mendoza-Domínguez, Alberto; Tecnológico de Monterrey (Narcea, 2018-12)
      El Tecnológico de Monterrey cuenta con dos plataformas para la gestión y la difusión del conocimiento científico, las cuales son el Sistema de Información de Investigación Actual (Current Research Information System – CRIS) para la gestión institucional interna y el Repositorio Institucional (RI) desarrollado como parte del movimiento educativo abierto para dar visibilidad externa en formato abierto a la investigación desarrollada por la institución. Los investigadores capturan su producción científica, como son artículos de revista, libros, capítulos de libro, artículos de conferencias, tesis entre otros, en los dos sistemas y esto hace que la captura de la misma información se duplique. El objetivo de este capítulo es dar a conocer la estrategia que se llevó a cabo, para encontrar puntos en común de ambos sistemas y así permitir la interoperabilidad entre ellos, a través de la iniciativa del proyecto “Laboratorio Binacional para la Gestión Inteligente de la Sustentabilidad Energética y la Formación Tecnológica”. Para abordar el tema se planteó la siguiente pregunta de investigación, ¿cómo se relacionan los CRIS y los del RI para que sean interoperables? Para contestar a ello, se utilizó el método comparativo. Los resultados apuntan a que su relación se entrelaza al homogeneizar los metadatos utilizados en el CRIS y en el RI a través de protocolos de interoperabilidad (e.g. SWORD, OAI) y enviar de forma unidireccional la captura de la producción científica del CRIS hacia el RI, en primera instancia, para la captura de la producción científica del proyecto mencionado, a través de una interfaz única.  
    • Laboratorio de innovación para la sustentabilidad energética: el caso Openergy Lab

      Yañez, José Antonio; Ramírez-Montoya, María Soledad; Ramírez-Hernández, Darinka; Ramírez-Montoya, María Soledad; Mendoza-Domínguez, Alberto; Tecnológico de Monterrey (Narcea, 2018-12)
      Los laboratorios de innovación social, han surgido como una respuesta emergente para los problemas que se enfrentan en la sociedad y tienen relación con la cultura, la ciencia, la salud, el ambiente, la educación, la política, entre otros. En la actualidad, las universidades se han motivado para trabajar en conjunto con grupos interdisciplinarios y formar escenarios denominados laboratorios. Estos grupos están conformados por personas que son parte de la institución y también por individuos ajenos a la misma, tales como estudiantes de otras universidades, docentes e investigadores de diversos cuerpos académicos y expertos provenientes de la empresa privada y el gobierno. Esta dinámica de interacción propone un camino diferente para que, desde la colaboración, se desarrollen proyectos enfocados a la creación de prototipos que respondan a los problemas señalados. La investigación que se reporta en el presente capítulo tuvo como objetivo “determinar las competencias desarrolladas por los participantes del Openergy Lab durante la creación de Recursos Educativos Abiertos sobre sustentabilidad energética”. Exponer los resultados de un escenario colaborativo que se fundamenta en los laboratorios de innovación y sus talleres de prototipado, fue una experiencia impulsada por la Universidad, vinculando agentes externos a ella, donde los hallazgos que se reportan son el desarrollo de las competencias de responsabilidad ciudadana y ética, resoluciónde problemas, innovación, liderazgo y pensamiento crítico, para la formación de ciudadanos líderes en la Sociedad del Conocimiento.
    • Prólogo: Innovación y sustentabilidad energética. Implementaciones con cursos masivos abiertos e investigación educativa

      Ramírez-Montoya, María Soledad; Mendoza-Domínguez, Alberto; Tecnológico de Monterrey (Tecnológico de Monterrey, 2018-12)
      En un mundo cambiante, la innovación sin propósito pudiera resultar esteril. Grandes son los retos de la humanidad, entre los que destacan una apropiación sustentable de los recursos que nos permiten aspirar a niveles de calidad de vida cada vez mayores. Pero seríamos ingenuos si creyeramos que la innovación tecnologíca lo resuelve todo. Innovación no solo está ligado al tema tecnológico, sino también a la manera en que podemos potencializar la formación de capacidades en ambientes de aprendizaje modernos. El libro que aquí se presenta “Innovación y sustentabilidad energética: implementaciones con cursos masivos e investigación educativa”, es el segundo tomo que emana como producto del proyecto 266632 «Laboratorio Binacional para la Gestión Inteligente de la Sustentabilidad Energética y la Formación Tecnológica» [«Bi-National Laboratory on Smart Sustainable Energy Management and Technology Training»], financiado por el Consejo Nacional de Ciencia y Tecnología (CONACYT) y por el Fondo de Sustentabilidad Energética de la Secretaría de Energía de México (SENER) (Convenio: S0019-2014-01), y coordinado por el Dr. Arturo Molina, Vicerrector de Investigación y Transferencia Tecnológica del Tecnológico de Monterrey.
    • Education in the Knowledge Society Doctoral Consortium

      García-Holgado, Alicia; García-Peñalvo, Francisco José; Ramírez-Montoya, María-Soledad; Tecnológico de Monterrey; Universidad de Salamca (2018-11-02)
      The Doctoral Consortium track is linked with the Education in the Knowledge Society PhD Programme at the University of Salamanca since the first edition. This track is not closed to PhD students from this programme, but also it is open for PhD candidates from other Programmes that develop their researchers in Knowledge Society related topics. The main aim of the Doctoral Consortium is to provide a discussion space for PhD candidates in which they can share their research progress and receive feedback from senior researchers of the scientific committee. Moreover, this track fosters the relationships between the students in order to establish synergies between them.