RM de cuerpo completo con secuencias de difusión para el estudio del cáncer ginecológico avanzado: Capacidad diagnóstica y predicción de la carga tumoral.

Los tumores malignos de origen ginecológico presentan diferentes vías de diseminación según su origen. Así, los cánceres de cuerpo y cérvix uterino se diseminan regionalmente de forma local y ganglionar y, de manera tardía, por el peritoneo como carcinomatosis peritoneal (CP). El cáncer de cérvix es el tumor ginecológico más frecuente en el mundo relacionado con el virus del papiloma humano (VPH), y el de cuerpo uterino lo es en países industrializados, en relación con factores de riesgo conocidos. El cáncer de ovario (CO) es la causa más frecuente de mortalidad en el cáncer ginecológico en países desarrollados. La resección completa de la CP es el mejor factor pronóstico de supervivencia en CO avanzado. La técnica de elección para la evaluación de la cavidad abdominal es la tomografía computarizada (TC), aunque su capacidad diagnóstica para predecir el éxito de la citorreducción es limitada. La tomografía por emisión de positrones (PET/TC) es la técnica de elección en el estudio a distancia del cáncer de cérvix, aunque no lo es en el CO. La CP se muestra como focos de elevada señal en las secuencias de difusión (DW) en resonancia (RM). Objetivos: Comparar la técnica de la RM de cuerpo completo con imágenes potenciadas en difusión con supresión del fondo (whole-body DW imaging with background suppression MRI (WB-DWIBS/MRI) con los hallazgos quirúrgicos y su confirmación histológica. Estudiar la correlación de la carga total tumoral predicha con la WB-DWIBS/MRI, esto es, Peritoneal Cancer Index (PCI) + Retroperitoneal Cancer Index (RCI), en comparación con la obtenida con la cirugía y con el CA125, marcador tumoral del CO. Determinar la capacidad diagnóstica y la capacidad de predicción de la carga tumoral quirúrgica predicha siguiendo la metodología PCI descrita por Sugarbaker para la CP.Valorar la capacidad diagnóstica y la capacidad de predicción de la carga tumoral ganglionar mediante la técnica RCIde forma análoga al PCI.pre-print7985 K

Multi-Target Spectral Moment QSAR vs. ANN for antiparasitic drugs against different parasite species

The 14th International Electronic Conference on Synthetic Organic Chemistry session Computational ChemistryThere are many of pathogen parasite species with different susceptibility profile to antiparasitic drugs. Unfortunately, almost QSAR models predict the biological activity of drugs against only one parasite species. Consequently, predicting the probability with which a drug is active against different species with a single unify model is a goal of the major importance. In so doing, we use Markov Chains theory to calculate new multi-target spectral moments to fit a QSAR model that predict by the first time a mt-QSAR model for 500 drugs tested in the literature against 16 parasite species and other 207 drugs no tested in the literature using spectral moments. The data was processed by Linear Discriminant Analysis (LDA) classifying drugs as active or non-active against the different tested parasite species. The model correctly classifies 311 out of 358 active compounds (86.9%) and 2328 out of 2577 non-active compounds (90.3%) in training series. Overall training performance was 89.9%. Validation of the model was carried out by means of external predicting series. In these series the model classified correctly 157 out 190, 82.6% of antiparasitic compounds and 1151 out of 1277 non-active compounds (90.1%). Overall predictability performance was 89.2%. In addition we developed four types of non Linear Artificial Neural Networks (ANN) and we compared with the mt-QSAR model. The improved ANN model had an overall training performance was 87%. The present work report the first attempts to calculate within a unify framework probabilities of antiparasitic action of drugs against different parasite species based on spectral moment analysisF. acknowledges the financial support from program Angeles Albariño and González-Díaz, H. acknowledges financial support of the Programme Isidro Parga Pondal both funded by the Xunta de Galicia and European Social Fund (ESF

15 años de alfabetización en información: investigación internacional recogida en LISA, ERIC y SSCI entre 1990 y 2005

Se presenta el alcance de la investigación internacional en Alfabetización en Información (ALFIN)entre los años 1990 y 2005 a partir del análisis de las publicaciones recogidas en tres de las principales bases de datos internacionales que cubren el tema: LISA, ERIC y SSCI. Se ha analizado la actividad investigadora del periodo, la tipología documental, idioma, autores más productivos y revistas más utilizadas. Por otro lado, y a través de una metodología de análisis de contenido, se han categorizado los trabajos de los diez autores más productivos, encontrando en ellos la progresión temática lógica de un área en desarrollo. Otros resultados indican el predominio de trabajos anglosajones así como el incremento exponencial de la producción a lo largo del periodo estudiadoPublicad

Incorporating Data Literacy into Information Literacy Programs: Core Competencies and Contents

The growing importance of data in society in general and scientific domains in particular, mirrored in the Open Data initiative and in the advent of eScience, requires public, school and academic libraries to contribute to both data and information literacy, as part of their mission to further knowledge and innovation in their respective fields of action. No specific library standards have been proposed to date, however, and most research studies conducted adopt a partial view of data literacy, stressing only the components needed in any given context. The present paper aims to contribute to the advancement of data literacy with the proposal of a set of core competencies and contents that can serve as a framework of reference for its inclusion in libraries' information literacy programs. The various definitions of data literacy are discussed, the coverage of the competencies listed in information literacy standards is described, and the competencies considered in the experiments conducted to date in education and libraries are identified. The conclusion drawn is that the model proposed can favour the development of data literacy support resources and services. Topics for further research are also specified

Prediction of Neurological Enzyme Targets for Known and New Compounds with a Model using Galvez's Topological Indices

The 18th International Electronic Conference on Synthetic Organic Chemistry session Computational ChemistryAlzheimer's Disease (AD), Parkinson, and other neurodegenerative diseases are a major health problem nowadays. In this sense, the discovery of new drugs for neurodiseases treatment is a goal of the major importance. Public databases, like ChEMBL, contain a large amount of data about multiplexing assays of inhibitors of a group of enzymes with special relevance in central nervous system. Mono Amino Oxidases (MAOs), Acetyl Cholinesterase (AChE), Glycogen Synthase Kinase-3 (GSK-3), AChE (AChE), and 5α-reductases (5αRs). This data conform an important information source for the application of multi-target computational models. However, almost all the computational models known focus in only one target. In this work, we developed mt-QSAR for inhibitors of 8 different enzymes promising in the treatment of different neurodiseases. In so doing, we combined by the first time the software DRAGON with Moving Average parameters with this objective. The best DRAGON model found predict with very high accuracy, specificity, and sensitivity >90% a very large data set >10000 cases in training and validation series. We also report experimental results about the assay of several 7

Criterios para la evaluación de la usabilidad de los recursos educativos virtuales: un análisis desde la alfabetización en información

Introducción. Para que el aprendizaje en entornos virtuales resulte realmente significativo, deben darse dos condiciones básicas: disponer de competencias relacionadas con la alfabetización en informaicón y, en especial, disponer de criterios adecuados para evaluar contenidos digitales. Método. El principal objetivo de este trabajo es presentar un modelo de evaluación de la usabilidad de recursos educativos, desarrollado desde el punto de vista cognitivo del procesamiento de la información así como de las competencias esperadas en los estudiantes. Análisis. El método utilizado para desarrollar el modelo ha sido la revisión de literatura y categorización de criterios de usabilidad relevantes. Resultados. Un modelo de evaluación para contenidos educativos digitales habrá de considerar los siguientes criterios: Captación (relacionada con el mecanismo cognitivo de la atención), Fidelidad (relacionado con la percepción y Capacidad Alfabetizadora (ligada a la memoria). Conclusions. Las Ciencias de la Documentación pueden desempeñar un papel relevante en distintas áreas: diseño de instrumentos adecuados para la gestión de contenidos educativos, implementación del constructivismo desde su perspectiva y para sus propios propósitos, adoptar competencias relacionadas con la alfabetización en información como objetivos didácticos en la formación profesional y el desarrollo de métodos adecuados para evluar competencias y contenidos.Publicad

Prediction of multi-target networks of neuroprotective compounds with entropy indices and synthesis, assay, and theoretical study of new asymmetric 1,2-rasagiline carbamates

In a multi-target complex network, the links (Lij) represent the interactions between the drug (di) and the target (tj), characterized by different experimental measures (Ki, Km, IC50, etc.) obtained in pharmacological assays under diverse boundary conditions (cj). In this work, we handle Shannon entropy measures for developing a model encompassing a multi-target network of neuroprotective/neurotoxic compounds reported in the CHEMBL database. The model predicts correctly >8300 experimental outcomes with Accuracy, Specificity, and Sensitivity above 80%–90% on training and external validation series. Indeed, the model can calculate different outcomes for >30 experimental measures in >400 different experimental protocolsin relation with >150 molecular and cellular OPEN ACCESS Int. J. Mol. Sci. 2014, 15 17036 targets on 11 different organisms (including human). Hereafter, we reported by the first time the synthesis, characterization, and experimental assays of a new series of chiral 1,2-rasagiline carbamate derivatives not reported in previous works. The experimental tests included: (1) assay in absence of neurotoxic agents; (2) in the presence of glutamate; and (3) in the presence of H2O2. Lastly, we used the new Assessing Links with Moving Averages (ALMA)-entropy model to predict possible outcomes for the new compounds in a high number of pharmacological tests not carried out experimentallyThe authors thank the Xunta de Galicia for financial support of this work under project 07CSA008203PRS

Alfabetización en la información y bibliotecas escolares: una experiencia en la comunidad de Madrid

Una tarea muy ligada a la labor del documentalista, desde una perspectiva histórica, ha sido el apoyo a las políticas de alfabetización, del mismo modo ha sido una constante en España el empeño por establecer las Bibliotecas Escolares en el sistema educativo. La Sociedad de la Información y sus medios para acceder y representar el conocimiento ha desarrollado un nuevo modo de leer y escribir, una nueva alfabetización más próxima al quehacer documentalista, information literacy, alfabetización de la información. En esta comunicación realizamos una semblanza de la Hª de las Bibliotecas Escolares en nuestro país y exponemos las líneas de trabajo y los primeros resultados del Seminario de Investigación y aplicación experimental “Las Bibliotecas Escolares y la Alfabetización en la Información.A task closely linked to the work of the specialist in documentation sciences, from a historical perspective, has been the support to the policy of literacy, and, in the same way, the determination in Spain to set up School Libraries in the educational system. The Information Society and its means to accede and represent knowledge has developed a new pattern for reading and writing, a new education closer to the chore of the documentation sciences, “Information Literacy”, education of the information. In this communication we tackle a biographical out line of the history of School Libraries in our country and we lay out the working lines and the first results of the Seminary of Research and experimental application School Libraries and information literacy. The interest of this contribution lies in offering a group working vision between entities far from each other at times, School and University. From the research in progressive line, Information Literacy we show the very important role that the Documentation can play in a School Library completely adapted to the new technological environments and to the increasing needs of the community of users and generated by the Knowledge SocietyPublicad

Development of a controlled vocabulary for learning objects' functional description in an educational repository

Proceeding of: Metadata for Knowledge and Learning (DC 2006). October 3-6, 2006. Colima, MexicoThis paper presents the development of a controlled vocabulary for functional description in an educational repository project which has adopted a DC application profile. The vocabulary, organized according to the identified functions of educational documents and learning objects' components, permits their retrieval and reuse to be improved.The DOTEINE Project has been financed by the Spanish Interministerial Commission of Science & Technology (CICYT, ref. BSO2003-04895). The IACORIE Project has been financed by the Regional Government of Madrid (Comunidad de Madrid, ref. 06/HSE/0165/2004).Publicad

Human amniotic membrane as an alternative source of stem cells for regenerative medicine

The human amniotic membrane (HAM) is a highly abundant and readily available tissue. This amniotic tissue has considerable advantageous characteristics to be considered as an attractive material in the field of regenerative medicine. It has low immunogenicity, anti-inflammatory properties and their cells can be isolated without the sacrifice of human embryos. Since it is discarded post-partum it may be useful for regenerative medicine and cell therapy. Amniotic membranes have already been used extensively as biologic dressings in ophthalmic, abdominal and plastic surgery. HAM contains two cell types, from different embryological origins, which display some characteristic properties of stem cells. Human amnion epithelial cells (hAECs) are derived from the embryonic ectoderm, while human amnion mesenchymal stromal cells (hAMSCs) are derived from the embryonic mesoderm. Both populations have similar immunophenotype and multipotential for in vitro differentiation into the major mesodermal lineages, however they differ in cell yield. Therefore, HAM has been proposed as a good candidate to be used in cell therapy or regenerative medicine to treat damaged or diseased tissues