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.

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.

An architecture for adaptive replication-based multimedia streaming in P2P networks

This PhD thesis addresses the issue of scalable media streaming in large-scale networking environments. Multimedia streaming is one of the largest sink of network resources and this trend is still growing as testified by the success of services like Skype, Netflix, Spotify and Popcorn Time (BitTorrent-based). In traditional client-server solutions, when the number of consumers increases, the server becomes the bottleneck. To overcome this problem, the Content-Delivery Network (CDN) model was invented. In CDN model, the server copies the media content to some CDN servers, which are located in different strategic locations on the network. However, they require heavy infrastructure investment around the world, which is too expensive. Peer-to-peer (P2P) solutions are another way to achieve the same result. These solutions are naturally scalable, since each peer can act as both a receiver and a forwarder. Most of the proposed streaming solutions in P2P networks focus on routing scenarios to achieve scalability. However, these solutions cannot work properly in video-on-demand (VoD) streaming, when resources of the media server are not sufficient. Replication is a solution that can be used in these situations. This thesis specifically provides a family of replication-based media streaming protocols, which are scalable, efficient and reliable in P2P networks. First, it provides SCALESTREAM, a replication-based streaming protocol that adaptively replicates media content in different peers to increase the number of consumers that can be served in parallel. The adaptiveness aspect of this solution relies on the fact that it takes into account different constraints like bandwidth capacity of peers to decide when to add or remove replicas. SCALESTREAM routes media blocks to consumers over a tree topology, assuming a reliable network composed of homogenous peers in terms of bandwidth. Second, this thesis proposes RESTREAM, an extended version of SCALESTREAM that addresses the issues raised by unreliable networks composed of heterogeneous peers. Third, this thesis proposes EAGLEMACAW, a multiple-tree replication streaming protocol in which two distinct trees, named EAGLETREE and MACAWTREE, are built in a decentralized manner on top of an underlying mesh network. These two trees collaborate to serve consumers in an efficient and reliable manner. The EAGLETREE is in charge of improving efficiency, while the MACAWTREE guarantees reliability. Finally, this thesis provides TURBOSTREAM, a hybrid replication-based streaming protocol in which a tree overlay is built on top of a mesh overlay network. Both these overlays cover all peers of the system and collaborate to improve efficiency and low-latency in streaming media to consumers. This protocol is implemented and tested in a real networking environment using PlanetLab Europe testbed composed of peers distributed in different places in Europe.

Hidden branches: developments in root system architecture.

The root system is fundamentally important for plant growth and survival because of its role in water and nutrient uptake. Therefore, plants rely on modulation of root system architecture (RSA) to respond to a changing soil environment. Although RSA is a highly plastic trait and varies both between and among species, the basic root system morphology and its plasticity are controlled by inherent genetic factors. These mediate the modification of RSA, mostly at the level of root branching, in response to a suite of biotic and abiotic factors. Recent progress in the understanding of the molecular basis of these responses suggests that they largely feed through hormone homeostasis and signaling pathways. Novel factors implicated in the regulation of RSA in response to the myriad endogenous and exogenous signals are also increasingly isolated through alternative approaches such as quantitative trait locus analysis.

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.