DUB-3, a Cytokine inducible Deubiquitinating Enzyme That Blocks Profileration

Previous studies have identified the DUB family of cytokine-regulated murine deubiquitinating enzymes, which play a role in the control of cell proliferation and survival. Through data base analyses and cloning, we have identified a human cDNA (DUB-3) that shows significant homology to the known murine DUB family members. Northern blotting has shown expression of this gene in a number of tissues including brain, liver, and muscle, with two transcripts being apparent (1.6 and 1.7 kb). In addition, expression was observed in cell lines including those derived from a number of hematopoietic tumors such as the Burkitt's lymphoma cell line RAJI. We have also demonstrated that DUB-3, which was shown to be an active deubiquitinating enzyme, is induced in response to interleukin-4 and interleukin-6 stimulation. Finally, we have demonstrated that constitutive expression of DUB-3 blocks proliferation and can initiate apoptosis in both IL-3-dependent Ba/F3 cells and NIH3T3 fibroblasts. These findings suggest that human DUB-3, like the murine DUB family members, is transiently induced in response to cytokines and can, when constitutively expressed, block growth factor-dependent proliferation.

Ca II K observations of QSOs in the line-of-sight to the Magellanic Bridge

We describe medium-resolution spectroscopic observations taken with the ESO Multi-Mode Instrument (EMMI) in the CaII K line (lambda air = 3933.661 angstrom) towards 7 QSOs located in the line-of-sight to the Magellanic Bridge. At a spectral resolution R =lambda/Delta lambda = 6000, five of the sightlines have a signal-to-noise ( S/N) ratio of similar to 20 or higher. Definite Ca absorption due to Bridge material is detected towards 3 objects, with probable detection towards two other sightlines. Gas-phase CaII K Bridge and Milky Way abundances or lower limits for the all sightlines are estimated by the use of Parkes 21-cm H. emission line data. These data only have a spatial resolution of 14 arcmin compared with the optical observations which have milli-arcsecond resolution. With this caveat, for the three objects with sound CaII K detections, we find that the ionic abundance of CaII K relative to HI, A = log( N( CaK)/ N( HI)) for low- velocity Galactic gas ranges from - 8.3 to - 8.8 dex, with HI column densities varying from 3- 6 x 10(20) cm(-2). For Magellanic Bridge gas, the values of A are similar to 0.5 dex higher, ranging from similar to- 7.8 to - 8.2 dex, with N( HI) = 1- 5 x 1020 cm(-2). Higher values of A correspond to lower values of N( HI), although numbers are small. For the sightline towards B 0251 - 675, the Bridge gas has two different velocities, and in only one of these is CaII tentatively detected, perhaps indicating gas of a different origin or present-day characteristics ( such as dust content), although this conclusion is uncertain and there is the possibility that one of the components could be related to the Magellanic Stream. Higher signal-to-noise CaII K data and higher resolution H. data are required to determine whether A changes with N( HI) over the Bridge and if the implied difference in the metalicity of the two Bridge components towards B 0251-675 is real.

Data mining contributions to characterize MV consumers and to improve the suppliers-consumers settlements

This paper deals with the establishment of a characterization methodology of electric power profiles of medium voltage (MV) consumers. The characterization is supported on the data base knowledge discovery process (KDD). Data Mining techniques are used with the purpose of obtaining typical load profiles of MV customers and specific knowledge of their customers’ consumption habits. In order to form the different customers’ classes and to find a set of representative consumption patterns, a hierarchical clustering algorithm and a clustering ensemble combination approach (WEACS) are used. Taking into account the typical consumption profile of the class to which the customers belong, new tariff options were defined and new energy coefficients prices were proposed. Finally, and with the results obtained, the consequences that these will have in the interaction between customer and electric power suppliers are analyzed.

Power systems reliability calculation based on fuzzy data mining

This paper presents a methodology supported on the data base knowledge discovery process (KDD), in order to find out the failure probability of electrical equipments’, which belong to a real electrical high voltage network. Data Mining (DM) techniques are used to discover a set of outcome failure probability and, therefore, to extract knowledge concerning to the unavailability of the electrical equipments such us power transformers and high-voltages power lines. The framework includes several steps, following the analysis of the real data base, the pre-processing data, the application of DM algorithms, and finally, the interpretation of the discovered knowledge. To validate the proposed methodology, a case study which includes real databases is used. This data have a heavy uncertainty due to climate conditions for this reason it was used fuzzy logic to determine the set of the electrical components failure probabilities in order to reestablish the service. The results reflect an interesting potential of this approach and encourage further research on the topic.

Zonal prices analysis supported by a data mining based methodology

A methodology based on data mining techniques to support the analysis of zonal prices in real transmission networks is proposed in this paper. The mentioned methodology uses clustering algorithms to group the buses in typical classes that include a set of buses with similar LMP values. Two different clustering algorithms have been used to determine the LMP clusters: the two-step and K-means algorithms. In order to evaluate the quality of the partition as well as the best performance algorithm adequacy measurements indices are used. The paper includes a case study using a Locational Marginal Prices (LMP) data base from the California ISO (CAISO) in order to identify zonal prices.

Polycyclic aromatic hydrocarbons and toxic trace metals in seawater and sediments from the west coast of India and their bioaccumulation in some selected species of fishes

Polycyclic Aromatic Hydrocarbons and other toxic compounds from industrial effluents are noted for their high potency for skin, lung, bladder and gastrointestinal cancers. Increased industrialization, and population growth led to greater production of wastes, Pesticides and PAHs have received attention due to their carcinogenic effects. The main objectives of the study were; to collect base line data on the concentration of PAHs in seawater and sediment from the west coast of India, the concentration of PAHs in certain species of fishes, the comparative levels of PAHs in fish, the influence of sediment characteristics on the concentration of PAH in sediment, changes in PAH concentration in water, sediment and fish, to provide a base line concentration of trace metals in water, sediment and fish, the seasonal changes in content of selected trace metals in water, sediment and fish from the west coast of India. The present study revealed that a predominance of silt and clay at all stations in the off Cochin area. The study has provided comprehensive information available to date for PAHs in seawater, sediment and fishes from the west cost of India especially from the Quilon to Mangalore region.

Investigations on the Distribution Characteristics of Heavy Metals in Squid (Loligo spp.) in Relation to Levels in Food Fishes from the West Coast of India with a Perspective on Seafood Safety

The present study entitled "Investigations on the Distribution Characteristics of Heavy Metals in Squid (Loligo spp.) in Relation to Levels in Food Fishes from the West Coast of India with a Perspective on Seafood Safety"attempts to establish the base line data on metal levels in squids along the west coast of India. The study is of great relevance in the present context when utmost importance is being given for producing wholesome seafoods especially in the export market with a perspective on seafood safety.The thesis presents a comprehensive account of the base line data on important heavy metals, viz., Hg, Cd, Pb, Cu, Zn, Fe, Mn Cr and Ni in the edible and non-edible body components of the most abundant Loligo species, viz., L. duvauceli caught along the west coast of India.

Design and Development of data mining models for the predictions of manpower placement in the technical Domain

Data mining is one of the hottest research areas nowadays as it has got wide variety of applications in common man’s life to make the world a better place to live. It is all about finding interesting hidden patterns in a huge history data base. As an example, from a sales data base, one can find an interesting pattern like “people who buy magazines tend to buy news papers also” using data mining. Now in the sales point of view the advantage is that one can place these things together in the shop to increase sales. In this research work, data mining is effectively applied to a domain called placement chance prediction, since taking wise career decision is so crucial for anybody for sure. In India technical manpower analysis is carried out by an organization named National Technical Manpower Information System (NTMIS), established in 1983-84 by India's Ministry of Education & Culture. The NTMIS comprises of a lead centre in the IAMR, New Delhi, and 21 nodal centres located at different parts of the country. The Kerala State Nodal Centre is located at Cochin University of Science and Technology. In Nodal Centre, they collect placement information by sending postal questionnaire to passed out students on a regular basis. From this raw data available in the nodal centre, a history data base was prepared. Each record in this data base includes entrance rank ranges, reservation, Sector, Sex, and a particular engineering. From each such combination of attributes from the history data base of student records, corresponding placement chances is computed and stored in the history data base. From this data, various popular data mining models are built and tested. These models can be used to predict the most suitable branch for a particular new student with one of the above combination of criteria. Also a detailed performance comparison of the various data mining models is done.This research work proposes to use a combination of data mining models namely a hybrid stacking ensemble for better predictions. A strategy to predict the overall absorption rate for various branches as well as the time it takes for all the students of a particular branch to get placed etc are also proposed. Finally, this research work puts forward a new data mining algorithm namely C 4.5 * stat for numeric data sets which has been proved to have competent accuracy over standard benchmarking data sets called UCI data sets. It also proposes an optimization strategy called parameter tuning to improve the standard C 4.5 algorithm. As a summary this research work passes through all four dimensions for a typical data mining research work, namely application to a domain, development of classifier models, optimization and ensemble methods.

Multifinger Feature Level Fusion Based Fingerprint Identification

Fingerprint based authentication systems are one of the cost-effective biometric authentication techniques employed for personal identification. As the data base population increases, fast identification/recognition algorithms are required with high accuracy. Accuracy can be increased using multimodal evidences collected by multiple biometric traits. In this work, consecutive fingerprint images are taken, global singularities are located using directional field strength and their local orientation vector is formulated with respect to the base line of the finger. Feature level fusion is carried out and a 32 element feature template is obtained. A matching score is formulated for the identification and 100% accuracy was obtained for a database of 300 persons. The polygonal feature vector helps to reduce the size of the feature database from the present 70-100 minutiae features to just 32 features and also a lower matching threshold can be fixed compared to single finger based identification

Modelling the Human Values Scale from Consumers Transactional Data Bases

The main objective of this paper aims at developing a methodology that takes into account the human factor extracted from the data base used by the recommender systems, and which allow to resolve the specific problems of prediction and recommendation. In this work, we propose to extract the user's human values scale from the data base of the users, to improve their suitability in open environments, such as the recommender systems. For this purpose, the methodology is applied with the data of the user after interacting with the system. The methodology is exemplified with a case study

Base de investigaciones educativas de Sonora (México).

Se ha desarrollado un portal de la Red de Investigación Educativa en Sonora, así como una base de datos conteniendo las investigaciones educativas realizadas en el Estado de Sonora, México, mediante las sugerencias de expertos de la región en investigación educativa y otros en lenguajes y sistemas de programación GNU o gratuito. Este portal está compuesto por una página principal programada en lenguaje PHP, dentro de la cual contiene distintos apartados en páginas secundarias, pero sobre todo, se adaptó la programación de una base de datos en lenguaje MySQL, que al igual que el lenguaje anterior es libre para efectos académicos no comerciales, esta base de datos ya contiene y en el futuro almacenará mas investigaciones y artículos educativos generados en Sonora, México. Se pagó el servicio de hospedaje del sistema en un servidor económico, libre, pero a la vez con suficiente capacidad.

Base de datos del Centro de Documentación e Información Educativa (CEDIE) : un recurso al servicio de la educación dominicana.

En esta presentación se expone la experiencia del Centro de Documentación e Información Educativa (CEDIE) de República Dominicana en el desarrollo de la base de datos de Resúmenes Analíticos (RAE) en educación dominicana, y cómo este trabajo ha beneficiado al sector educativo dominicano.

Análisis de la producción científica colombiana en medicina social y medicina básica Base de datos Thomson ISI (1975-2005)

En este documento se realiza una descripción de la producción científica colombiana en las disciplinas de medicina social y medicina básica para la base de datos Thompson ISI en el periodo comprendido entre 1975 y 2005. La caracterización de medicina social permite observar una baja producción de artículos internacionales de alto impacto propios de la disciplina, pues los artículos más citados siempre se encontraban clasificados en más de una disciplina; caso contrario al de medicina básica. De otra parte, se observa una alta concentración de los artículos de medicina social en publicaciones relacionadas con salud pública, siendo éstas una mayoría significativa dentro de la disciplina. A su vez, en las dos disciplinas es posible identificar una alta concentración de las citaciones en pocos artículos, siendo mayor en medicina social, reflejando un menor impacto promedio de las publicaciones en esta disciplina. Por último, los documentos más citados en medicina social se caracterizan por su interdisciplinariedad, colaboración internacional, interacción entre instituciones públicas y privadas, al igual que métodos no convencionales.

Adopción de TIC como mecanismos facilitadores de la gestión organizacional

Los avances tecnológicos y la entrada a una nueva era digital son una realidad presente en todos los aspectos de la sociedad actual. El mundo organizacional se incluye en esta nueva era digital modernizando sus procesos y soportando sus actividades empresariales en tecnologías de la información y comunicaciones. La inclusión en la era digital por parte de las organizaciones es un paso importante que se debe dar para obtener los crecientes beneficios que la tecnología ofrece. Esta transformación organizacional hacia la implementación de herramientas TIC, como soporte del quehacer misional, debe darse bajo unos lineamientos de planeación estratégica e integración organizacional. Este estudio contiene una revisión conceptual con los lineamientos que una empresa debe tener en cuenta al momento de implementar herramientas TIC a sus áreas y actividades. Los hallazgos teóricos planteados son llevados a la realidad estudiando cómo empresas de Bogotá adoptan recursos tecnológicos. Los resultados principales del estudio muestran que la agrupación empresarial clasificada como gran empresa es el segmento que mejor aplica los lineamientos teóricos para la implementación correcta de herramientas TIC en un ambiente organizacional. El segmento de mediana y pequeña empresa da muestras de uso de herramientas TIC, sin embargo se nota una debilidad en la falta de planeación estratégica e integración de estos recursos tecnológicos al sistema organizacional. Esta investigación concluye mostrando un conjunto de recomendaciones y hallazgos de acuerdo a los datos analizados.

Perfil de mercado de las provincias de Canadá a 2012

El proyecto Perfiles de Mercado de las Provincias de Canadá a 2012 busca actualizar las cifras del comercio bilateral presentes en el proyecto que lleva el mismo nombre y que adicionalmente cuenta con estadísticas, variaciones, perfiles demográficos, políticos y económicos de cada una de las provincias canadienses. Los análisis realizados y las conclusiones derivadas de este proyecto fueron suministrados luego de una priorización de los 10 principales productos demandados por cada provincia y a su vez los 10 principales productos exportados por Colombia a cada una de las provincias. Asimismo, verificando coincidencias entre la oferta y la demanda de bienes entre las provincias y Colombia. El potencial que los exportadores encontrarán en este archivo ha sido determinado en base en los productos más comercializados entre los dos países. La información proveída es considerada como una herramienta muy útil tanto para exportadores, empresarios y diferentes agentes de mercado que deseen empezar a hacer negocios con Canadá. Este documento contiene la introducción de cada provincia de Canadá así como los productos que más se destacan en el comercio bilateral y las oportunidades que sobresalen luego de la entrada en vigencia del TLC entre las partes. Adicionalmente, un ranking de los productos que a opinión de los autores (basados en la cifra comercializada de cada uno de los productos entre los países), tienen más oportunidades de entrar fácilmente al mercado canadiense, sea por acción de su bajo arancel o por acción de la demanda por parte de las provincias.