Random measurement error and regression dilution bias.

Summary points: - The bias introduced by random measurement error will be different depending on whether the error is in an exposure variable (risk factor) or outcome variable (disease) - Random measurement error in an exposure variable will bias the estimates of regression slope coefficients towards the null - Random measurement error in an outcome variable will instead increase the standard error of the estimates and widen the corresponding confidence intervals, making results less likely to be statistically significant - Increasing sample size will help minimise the impact of measurement error in an outcome variable but will only make estimates more precisely wrong when the error is in an exposure variable

Adapting the Process Writing Approach to English Language Learners with Special Needs: Using Visuals

The available literature on the writing characteristics and best practices to teach writing to English Language Learners who also present some disability is scarce. In order to understand and provide some insight on the developments in this field, I propose an adaptation of the Process Writing Approach based on a literature review of the existing bibliography about the writing characteristics of English Language Learners, Special Needs Learners, and English Language Learners with Special Needs’ writing, the effects of the Process Writing Approach in teaching writing to these groups, and the use of visuals in writing instruction. The main assumptions of this study are: a) The Process Writing Approach provides an opportunity to differentiate instruction to ELLs with special needs and gives them additional opportunities to bring their funds of knowledge to the classroom, improving their writing, and b) By allowing students to rely on visuals in different phases of the writing process teachers will be addressing the needs of both visual and verbal learners, therefore allowing students more options to develop writing skills. The main pedagogical implication is that by dividing writing in recursive stages and inserting visuals as scaffolding throughout the entire writing process, teachers will provide an alternative approach to writing instruction that may be more effective to English Language Learners with Special Needs.

Comparing Random-based and k-Anonymity-Based Algorithms for Graph Anonymization

Recently, several anonymization algorithms have appeared for privacy preservation on graphs. Some of them are based on random-ization techniques and on k-anonymity concepts. We can use both of them to obtain an anonymized graph with a given k-anonymity value. In this paper we compare algorithms based on both techniques in orderto obtain an anonymized graph with a desired k-anonymity value. We want to analyze the complexity of these methods to generate anonymized graphs and the quality of the resulting graphs.

Use of NIR spectroscopy and multivariate process spectra calibration methodology for pharmaceutical solid samples analysis

Accomplish high quality of final products in pharmaceutical industry is a challenge that requires the control and supervision of all the manufacturing steps. This request created the necessity of developing fast and accurate analytical methods. Near infrared spectroscopy together with chemometrics, fulfill this growing demand. The high speed providing relevant information and the versatility of its application to different types of samples lead these combined techniques as one of the most appropriated. This study is focused on the development of a calibration model able to determine amounts of API from industrial granulates using NIR, chemometrics and process spectra methodology.

Análisis y mejora de los procesos excepcionales de una multinacional del sector de la electrónica utilizando la metodología Business Process Management

El presente documento ilustra la aplicación de la metodología Business Process Managementpara el caso de una empresa multinacional del sector de la electrónica. Para ello se han tomado los procesos excepcionales de Supply Chain Operations en el área EMEA (Europa, Oriente Medio y África). Se ha analizado la situación inicial, donde la aparición de incidencias de calidad en productos terminados y listos para entregar a clientes generaba una serie de acciones descoordinadas y con resultados insatisfactorios. Todos los departamentos implicados comprometían recursos, tiempo y esfuerzo, sin estar alineados entre sí. A partir de la aplicación sistemática de la metodología BPM definida en 10 fases, se ha desarrollado una solución completa para los procesos excepcionales. El documento describe con detalle en proceso de Reflash y la documentación necesaria para poner el proceso bajo control y en mejora continua.

Gaussian process framework for pervasive estimation of swimming velocity with body-worn IMU

Presented is an accurate swimming velocity estimation method using an inertial measurement unit (IMU) by employing a simple biomechanical constraint of motion along with Gaussian process regression to deal with sensor inherent errors. Experimental validation shows a velocity RMS error of 9.0 cm/s and high linear correlation when compared with a commercial tethered reference system. The results confirm the practicality of the presented method to estimate swimming velocity using a single low-cost, body-worn IMU.

Evaluating solutions to process, view and listen mathematical formula within an accessible context

Proves de conversió de fòrmules matemàtiques des d'editors de text ofimàtics i des de Làtex. Visionat en HTML i MathML. El millor resultat s'aconsegueix amb MSWord+MathType i IE+MathPlayer.