Economic Aspects of the Microsoft Case: Networks, Interoperability and Competition

In this paper, we discuss the main economic aspects of the European Microsoft case; in particular, Microsoft’s refusal to supply the necessary information to make the competitors’ work group server systems interoperable with Windows Operating System. The case can be seen as an example of competition between networks. We review the relevant economics literature with the objective of understanding the motivations behind Microsoft’s strategies.Networks; Complementarities; Foreclosure; Interoperability; Antitrust

Is Emission Intensity or Output U-shaped in the Strictness of Environmental Policy

In a model where firms face a continuous choice of how much to invest in environmental innovation, we show that an ever stricter environmental policy does not always lead to ever cleaner production methods and ever lower production of polluting goods. It does so when the abatement technology is end-of-pipe. When the abatement technology is integrated however, either emission intensity or output is U-shaped in the strictness of policy. If the emission intensity is U-shaped, it will reach its lowest value at the point where the Marginal Abatement Cost curves intersect. These results hold with emission taxation (whether firms are price-takers or they interact strategically on the output market) as well as in the social optimum

Gestión de recursos computacionales en el cloud para actividades educativas

En este artículo se describe el uso de la plataforma ODISEA en cuatro asignaturas del Máster Universitario en Computación Paralela y Distribuida (MUCPD) de la Universitat Politècnica de València (UPV). Esta plataforma permite desplegar recursos computacionales sobre proveedores Cloud específicamente configurados para soportar actividades educativas. El instructor declara las necesidades hardware, software y de configuración del entorno de prácticas, que puede ser desplegado automáticamente tanto en un Cloud privado existente en la organización educativa o sobre un Cloud público. Esto permite una flexibilidad sin precedentes en la gestión de recursos de cómputo para actividades educativas. Se resumen las capacidades de ODISEA y el uso en las diferentes asignaturas.SUMMARY -- This paper describes the usage of the ODISEA platform in four subjects of the Master’s Degree in Parallel and Distributed Computing (MUCPD) at the Universitat Politècnica de València (UPV). This platform deploys computational resources on Cloud providers specifically configured to support educational activities. The instructor declares the hardware, software and configuration requirements of the lab resources, which can be automatically deployed both on an on-premise Cloud within the educational center or on a public Cloud. This introduces unprecedented flexibility in the management of computational resources for educational activities. The paper summarizes ODISEA’s features and focuses on the usage experience in the subjects

Weakly uniformly rotund Banach spaces

summary:The dual space of a WUR Banach space is weakly K-analytic

Insights from Learning Analytics for Hands-On Cloud Computing Labs in AWS

Cloud computing instruction requires hands-on experience with a myriad of distributed computing services from a public cloud provider. Tracking the progress of the students, especially for online courses, requires one to automatically gather evidence and produce learning analytics in order to further determine the behavior and performance of students. With this aim, this paper describes the experience from an online course in cloud computing with Amazon Web Services on the creation of an open-source data processing tool to systematically obtain learning analytics related to the hands-on activities carried out throughout the course. These data, combined with the data obtained from the learning management system, have allowed the better characterization of the behavior of students in the course. Insights from a population of more than 420 online students through three academic years have been assessed, the dataset has been released for increased reproducibility. The results corroborate that course length has an impact on online students dropout. In addition, a gender analysis pointed out that there are no statistically significant differences in the final marks between genders, but women show an increased degree of commitment with the activities planned in the course

Repercusión emocional en el personal de enfermería pediátrica. Revisión

Repercusión emocional en el personal de enfermería pediátrica. Revisión Para el personal de enfermería pediátrica, trabajar con niños/as requiere cierta connotación psicológica y emocional. Gestionándose de manera negativa, puede ser causa de sentimientos de impotencia, incertidumbre, tristeza y excesiva vinculación emocional; en caso de hacerlo de manera positiva, se observa una atención integral al paciente y su familia. La falta de herramientas de afrontamiento efectivo ante situaciones extremas en los pacientes, como la muerte, es causa de un manejo no efectivo de la salud

The usefulness of Olanzapine plasma concentrations in monitoring treatment efficacy and metabolic disturbances in first-episode psychosis

Introduction: The role of Olanzapine therapeutic drug monitoring is controversial. The present study explores the associations of Olanzapine plasma concentrations with clinical response and metabolic side effects in first episode psychosis (FEP) after 2 months of treatment. Methods: Forty-seven patients were included. Improvement in clinical symptomatology was assessed using the PANSS. Metabolic assessment included weight, blood pressure, waist circumference, blood glucose, total cholesterol, high-density lipoprotein, low-density lipoprotein, and triglycerides. Results: The Olanzapine plasma concentrations after 2 months of treatment were positively correlated with weight gain (r = 0.49, p = 0.003), and a concentration > 23.28 ng/mL was identified as a positive predictor of weight gain (≥ 7%). The Olanzapine concentration to dose (C/D) ratio was positively correlated with the percentage of improvement in the total PANSS (r = 0.46, p = 0.004), and a C/D ratio > 2.12 was identified as a positive predictor of a good response (percentage of improvement > 30%) after 2 months of treatment. We also identified several factors that could alter Olanzapine pharmacokinetics: gender (p = 0.03), diagnosis (p = 0.05), smoking habit (p = 0.05), and co-medications such as valproic acid (p = 0.05) and anxiolytics (p = 0.01). Discussion: In conclusion, our results suggest that therapeutic drug monitoring of Olanzapine could be helpful to evaluate therapeutic efficacy and metabolic dysfunction in FEP patients treated with Olanzapine

Recopilación automatizada de evidencias de la realización de actividades educativas en el cloud

Resumen: En este artículo se describe una innovación educativa a través de dos experiencias docentes, para automatizar la recopilación de evidencias generadas por los alumnos durante la realización actividades educativas sobre laboratorios computacionales. Estas han sido implementadas en asignaturas del Máster de Computación Paralela y Distribuida (MCPD) de la Universitat Politècnica de València (UPV). Para ello se utiliza la plataforma ODISEA, que permite desplegar y configurar de forma dinámica Entornos Virtuales Computacionales (EVCs) (laboratorios virtuales, simuladores, herramientas software, etc.) necesarios para la puesta en marcha y ejecución de las actividades educativas sobre infraestructuras virtualizadas en un cloud, tanto privado (on-premise) como público. Como resultado, se presentan los mecanismos utilizados para la recopilación automática de evidencias con el fin de realizar un control de la gestión de abuso (uso excesivo) de recursos por parte de los alumnos, y para la creación de un portafolio digital. Además se detalla cómo éstos han sido implementados en los EVCs requeridos en cada actividad, siendo desplegados y configurados automáticamente a través de la plataforma ODISEA.Abstract: This paper describes an educational innovation driven by two teaching experiences, to automatically gather evidences of the activities of the students on computational laboratories. These have been implemented in various courses of the Master’s Degree in Parallel and Distributed Computing (MCPD) at the Universitat Politècnica de València (UPV). For that, we rely on the ODISEA platform, which allows to dynamically deploy and configure Computational Virtual Environments (CVE) (such as virtual laboratories, simulators, software tools, etc.) required to perform educational activities on top of virtual infrastructures both in public and private (on-premise) clouds. We present the approaches carried out to automatically collect the evidences, focusing on detecting abuse and misuse of computational resources and the creation of a digital portfolio. Furthermore, it is outlined how these mechanism have been implemented in the CVEs required in the activities using the capabilities provided by ODISEA platform

Recopilación Automatizada de Evidencias de la Realización de Actividades Educativas en el Cloud

En este artículo se describe una innovación educativa a través de dos experiencias docentes, para automatizar la recopilación de evidencias generadas por los alumnos durante la realización actividades educativas sobre laboratorios computacionales. Estas han sido implementadas en asignaturas del Máster de Computación Paralela y Distribuida (MCPD) de la Universitat Politècnica de València (UPV). Para ello se utiliza la plataforma ODISEA, que permite desplegar y configurar de forma dinámica Entornos Virtuales Computacionales (EVCs) (laboratorios virtuales, simuladores, herramientas software, etc.) necesarios para la puesta en marcha y ejecución de las actividades educativas sobre infraestructuras virtualizadas en un cloud, tanto privado (on-premise) como público. Como resultado, se presentan los mecanismos utilizados para la recopilación automática de evidencias con el fin de realizar un control de la gestión de abuso (uso excesivo) de recursos por parte de los alumnos, y para la creación de un portafolio digital. Además se detalla cómo éstos han sido implementados en los EVCs requeridos en cada actividad, siendo desplegados y configurados automáticamente a través de la plataforma ODISEA.This paper describes an educational innovation driven by two teaching experiences, to automatically gather evidences of the activities of the students on computational laboratories. These have been implemented in various courses of the Master’s Degree in Parallel and Distributed Computing (MCPD) at the Universitat Politècnica de València (UPV). For that, we rely on the ODISEA platform, which allows to dynamically deploy and configure Computational Virtual Environments (CVE) (such as virtual laboratories, simulators, software tools, etc.) required to perform educational activities on top of virtual infrastructures both in public and private (on-premise) clouds. We present the approaches carried out to automatically collect the evidences, focusing on detecting abuse and misuse of computational resources and the creation of a digital portfolio. Furthermore, it is outlined how these mechanism have been implemented in the CVEs required in the activities using the capabilities provided by ODISEA platform.Los autores quieren agradecer al Vicerrectorado de Estudios, Calidad y Acreditación de la Universitat Politècnica de València (UPV) por la financiación del proyecto PIME “Análisis y Evaluación de Impacto del Cloud Computing en la Gestión de entornos Virtuales Computacionales en la Enseñanza”, con referencia A014, en el cual está enmarcado este trabajo