La Participación de los estudiantes en la universidad: dificultades percibidas y propuestas de mejora = Student participation in the university: perceived problems and proposals for improvement

Este artículo se centra en el análisis de la participación de los estudiantes en el gobierno de la universidad y muestra específicamente las principales dificultades que hay para ella y las propuestas que pueden facilitar la implicación de los estudiantes en el funcionamiento de las universidades. A partir de una investigación desarrollada durante los cursos 2007-08 y 2008-09, en la que se utilizaron cuestionarios y grupos de discusión con estudiantes y entrevistas dirigidas al profesorado, se obtiene información sobre los principales obstáculos para la participación estudiantil. El estudio realizado muestra que, de acuerdo con la tónica general reflejada en otras investigaciones sobre esta misma temática en nuestro contexto, la participación de los estudiantes en los distintos estamentos universitarios es escasa. Ahora bien, la metodología seguida en esta investigación permite contrastar las opiniones de los estudiantes con las percepciones del profesorado y obtener así matices significativos que muestran las principales direcciones que hay que tomar para facilitar un cambio de orientación en el asunto. Los cambios que debemos emprender están relacionados no solo con la mejora de los mecanismos de información acerca de los canales de participación, sino también con el replanteamiento de los procesos participativos por parte de la universidad, así como del papel del profesorado y, específicamente, de los coordinadores de los órganos de gestión más próximos a los estudiantes. En las conclusiones del documento se presentan las propuestas de mejora dirigidas a potenciar la implicación de los estudiantes en el funcionamiento universitario. Entre ellas se apuntan las siguientes: mejorar la información y los canales de comunicación con los estudiantes, mejorar los procesos electorales, ofrecer formación a los estudiantes para la participación y formación al profesorado acerca de las metodologías, recursos e instrumentos que pueden repercutir en la motivación de los estudiantes

Improvement of therapeutic drug monitoring of imatinib by Bayesian prediction of trough levels. Personalized drug dosage

Aims: Plasma concentrations of imatinib differ largely between patients despite same dosage, owing to large inter-individual variability in pharmacokinetic (PK) parameters. As the drug concentration at the end of the dosage interval (Cmin) correlates with treatment response and tolerability, monitoring of Cmin is suggested for therapeutic drug monitoring (TDM) of imatinib. Due to logistic difficulties, random sampling during the dosage interval is however often performed in clinical practice, thus rendering the respective results not informative regarding Cmin values.Objectives: (I) To extrapolate randomly measured imatinib concentrations to more informative Cmin using classical Bayesian forecasting. (II) To extend the classical Bayesian method to account for correlation between PK parameters. (III) To evaluate the predictive performance of both methods.Methods: 31 paired blood samples (random and trough levels) were obtained from 19 cancer patients under imatinib. Two Bayesian maximum a posteriori (MAP) methods were implemented: (A) a classical method ignoring correlation between PK parameters, and (B) an extended one accounting for correlation. Both methods were applied to estimate individual PK parameters, conditional on random observations and covariate-adjusted priors from a population PK model. The PK parameter estimates were used to calculate trough levels. Relative prediction errors (PE) were analyzed to evaluate accuracy (one-sample t-test) and to compare precision between the methods (F-test to compare variances).Results: Both Bayesian MAP methods allowed non-biased predictions of individual Cmin compared to observations: (A) - 7% mean PE (CI95% - 18 to 4 %, p = 0.15) and (B) - 4% mean PE (CI95% - 18 to 10 %, p = 0.69). Relative standard deviations of actual observations from predictions were 22% (A) and 30% (B), i.e. comparable to the intraindividual variability reported. Precision was not improved by taking into account correlation between PK parameters (p = 0.22).Conclusion: Clinical interpretation of randomly measured imatinib concentrations can be assisted by Bayesian extrapolation to maximum likelihood Cmin. Classical Bayesian estimation can be applied for TDM without the need to include correlation between PK parameters. Both methods could be adapted in the future to evaluate other individual pharmacokinetic measures correlated to clinical outcomes, such as area under the curve(AUC).

Interoperability and Technology for a Language Resources Factory

This document describes some of the technological aspects of a project devoted to the creation of a factory for language resources. The project’s objectives are explained, as well as the idea to create a distributed infrastructure of web services. This document focuses on two main topics of the factory: (1) the technological approaches chosen to develop the factory, i.e. software, protocols, servers, etc. (2) and Interoperability as the main challenge is to permit different NLP tools work together in the factory. This document explains why XCES and GrAF are chosen as the main formats used for the linguistic data exchange.

Language Resources Factory: case study on the acquisition of Translation Memories

This paper demonstrates a novel distributed architecture to facilitate the acquisition of Language Resources. We build a factory that automates the stages involved in the acquisition, production, updating and maintenance of these resources. The factory is designed as a platform where functionalities are deployed as web services, which can be combined in complex acquisition chains using workflows. We show a case study, which acquires a Translation Memory for a given pair of languages and a domain using web services for crawling, sentence alignment and conversion to TMX.

Statewide Transportation Improvement Program 2015-2018: Sorted by MPO and RPA, 2014

Iowa’s Statewide Transportation Improvement Program (STIP) has been developed in conformance with the guidelines prescribed by 23 U.S.C. and 49 U.S.C. The STIP is generated to provide the Federal Highway Administration and Federal Transit Administration a listing of all projects that are candidates for federal aid from the FHWA and FTA for four federal fiscal years (FFY). The 2015-2018 STIP was approved by FHWA and FTA on September 16, 2014. Preceding the listings of federal-aid candidates are general comments concerning Iowa’s public participation process for selection of federal-aid projects and the basis for funding the proposed projects. Documents evidencing the Iowa Department of Transportation’s authority to act concerning matters related to transportation, federal-aid expenditures and approvals of metropolitan planning organizations’ (MPOs), transportation improvements programs (TIPs) have been provided in past STIPs and can be provided again upon request.

Statewide Transportation Improvement Program 2014-2017: Sorted by MPO and RPA, 2013

Iowa’s Statewide Transportation Improvement Program (STIP) has been developed in conformance with the guidelines prescribed by 23 U.S.C. and 49 U.S.C. The STIP is generated to provide the Federal Highway Administration and Federal Transit Administration a listing of all projects that are candidates for federal aid from the FHWA and FTA for four federal fiscal years (FFY). The 2015-2018 STIP was approved by FHWA and FTA on September 16, 2014. Preceding the listings of federal-aid candidates are general comments concerning Iowa’s public participation process for selection of federal-aid projects and the basis for funding the proposed projects. Documents evidencing the Iowa Department of Transportation’s authority to act concerning matters related to transportation, federal-aid expenditures and approvals of metropolitan planning organizations’ (MPOs), transportation improvements programs (TIPs) have been provided in past STIPs and can be provided again upon request.

Statewide Transportation Improvement Program 2013-2016: Sorted by MPO and RPA, 2012

Iowa’s Statewide Transportation Improvement Program (STIP) has been developed in conformance with the guidelines prescribed by 23 U.S.C. and 49 U.S.C. The STIP is generated to provide the Federal Highway Administration and Federal Transit Administration a listing of all projects that are candidates for federal aid from the FHWA and FTA for four federal fiscal years (FFY). Preceding the listings of federal-aid candidates are general comments concerning Iowa’s public participation process for selection of federal-aid projects and the basis for funding the proposed projects. Documents evidencing the Iowa Department of Transportation’s authority to act concerning matters related to transportation, federal-aid expenditures and approvals of metropolitan planning organizations’ (MPOs), transportation improvements programs (TIPs) have been provided in past STIPs and can be provided again upon request.

Improvement of a fully distributed decision making protocol for CRN

Abstract¿La deteción del espectro libre para las comunicaciones inalámbricas en un momento puntual es una tarea compleja cuyo desarrollo se simplica al realizarse de forma distribuida por una red de radio cognitiva. Sin embargo existes dificultades y vulnerabilidades de seguridad que han de ser tenidas en cuenta y solventadas a la hora de autenticar y validar los nodos de la red. Este artículo presenta una propuesta de mejora del protocolo fully distributed decision making protocol for CRN con el fin de llevar a cabo esta tarea de detección del espectro de una manera eficiente y segura.

Application of the Mutual Information Minimization to speaker recognition / identification improvement

In this paper we propose the inversion of nonlinear distortions in order to improve the recognition rates of a speaker recognizer system. We study the effect of saturations on the test signals, trying to take into account real situations where the training material has been recorded in a controlled situation but the testing signals present some mismatch with the input signal level (saturations). The experimental results for speaker recognition shows that a combination of several strategies can improve the recognition rates with saturated test sentences from 80% to 89.39%, while the results with clean speech (without saturation) is 87.76% for one microphone, and for speaker identification can reduce the minimum detection cost function with saturated test sentences from 6.42% to 4.15%, while the results with clean speech (without saturation) is 5.74% for one microphone and 7.02% for the other one.