Compositional Data in Biomedical Research

Modern methods of compositional data analysis are not well known in biomedical research.Moreover, there appear to be few mathematical and statistical researchersworking on compositional biomedical problems. Like the earth and environmental sciences,biomedicine has many problems in which the relevant scienti c information isencoded in the relative abundance of key species or categories. I introduce three problemsin cancer research in which analysis of compositions plays an important role. Theproblems involve 1) the classi cation of serum proteomic pro les for early detection oflung cancer, 2) inference of the relative amounts of di erent tissue types in a diagnostictumor biopsy, and 3) the subcellular localization of the BRCA1 protein, and it'srole in breast cancer patient prognosis. For each of these problems I outline a partialsolution. However, none of these problems is \solved". I attempt to identify areas inwhich additional statistical development is needed with the hope of encouraging morecompositional data analysts to become involved in biomedical research

@neurIST infrastructure for advanced disease management through integration of heterogeneous data, computing, and complex processing services

The increasing volume of data describing humandisease processes and the growing complexity of understanding, managing, and sharing such data presents a huge challenge for clinicians and medical researchers. This paper presents the@neurIST system, which provides an infrastructure for biomedical research while aiding clinical care, by bringing together heterogeneous data and complex processing and computing services. Although @neurIST targets the investigation and treatment of cerebral aneurysms, the system’s architecture is generic enough that it could be adapted to the treatment of other diseases.Innovations in @neurIST include confining the patient data pertaining to aneurysms inside a single environment that offers cliniciansthe tools to analyze and interpret patient data and make use of knowledge-based guidance in planning their treatment. Medicalresearchers gain access to a critical mass of aneurysm related data due to the system’s ability to federate distributed informationsources. A semantically mediated grid infrastructure ensures that both clinicians and researchers are able to seamlessly access andwork on data that is distributed across multiple sites in a secure way in addition to providing computing resources on demand forperforming computationally intensive simulations for treatment planning and research.

BIMS: Biomedical Information Management System

This final year project presents the design principles and prototype implementation of BIMS (Biomedical Information Management System), a flexible software system which provides an infrastructure to manage all information required by biomedical research projects.The BIMS project was initiated with the motivation to solve several limitations in medical data acquisition of some research projects, in which Universitat Pompeu Fabra takes part. These limitations,based on the lack of control mechanisms to constraint information submitted by clinicians, impact on the data quality, decreasing it.BIMS can easily be adapted to manage information of a wide variety of clinical studies, not being limited to a given clinical specialty. The software can manage both, textual information, like clinical data (measurements, demographics, diagnostics, etc ...), as well as several kinds of medical images (magnetic resonance imaging, computed tomography, etc ...). Moreover, BIMS provides a web - based graphical user interface and is designed to be deployed in a distributed andmultiuser environment. It is built on top of open source software products and frameworks.Specifically, BIMS has been used to represent all clinical data being currently used within the CardioLab platform (an ongoing project managed by Universitat Pompeu Fabra), demonstratingthat it is a solid software system, which could fulfill requirements of a real production environment.

Estudi comparatiu de la publicació científica de la UPC i l’ETSETB vs. altres universitats d’àmbit europeu (2002-2012)

L'informe es centra en la publicació científica especialitzada en l'àmbit temàtic propi de l'ETSETB: l'enginyeria de telecomunicacions i l'electrònica. Es comparen indicadors bibliomètrics de la UPC i l'ETSETB amb els d'altres universitats europees amb activitat de recerca notable en l'àrea de les telecomunicacions i l'electrònica.

Estudi comparatiu de la publicació científica de la UPC i l’ETSETB vs. altres universitats d’àmbit europeu (2002-2012) : Resum executiu

L'informe es centra en la publicació científica especialitzada en l'àmbit temàtic propi de l'ETSETB: l'enginyeria de telecomunicacions i l'electrònica. Es comparen indicadors bibliomètrics de la UPC i l'ETSETB amb els d'altres universitats europees amb activitat de recerca notable en l'àrea de les telecomunicacions i l'electrònica.

Desenvolupament d'eines d'alta ressolució per al cribatge (screening) de l'activitat de fàrmacs

Projecte de recerca elaborat a partir d’una estada a la Satandford University, EEUU, entre 2007 i 2009. Els darrers anys, hi ha hagut un avanç espectacular en la tecnologia aplicada a l’anàlisi del genoma i del proteoma (microarrays, PCR quantitativa real time, electroforesis dos dimensions, espectroscòpia de masses, etc.) permetent la resolució de mostres complexes i la detecció quantitativa de diferents gens i proteïnes en un sol experiment. A més a més, la seva importància radica en la capacitat d’identificar potencials dianes terapèutiques i possibles fàrmacs, així com la seva aplicació en el disseny i desenvolupament de noves eines de diagnòstic. L’aplicabilitat de les tècniques actuals, però, està limitada al nivell al que el teixit pot ser disseccionat. Si bé donen valuosa informació sobre expressió de gens i proteïnes implicades en una malaltia o en resposta a un fàrmac per exemple, en cap cas, s’obté una informació in situ ni es pot obtenir informació espacial o una resolució temporal, així com tampoc s’obté informació de sistemes in vivo. L’objectiu d’aquest projecte és desenvolupar i validar un nou microscopi, d’alta resolució, ultrasensible i de fàcil ús, que permeti tant la detecció de metabòlits, gens o proteïnes a la cèl•lula viva en temps real com l’estudi de la seva funció. Obtenint així una descripció detallada de les interaccions entre proteïnes/gens que es donen dins la cèl•lula. Aquest microscopi serà un instrument sensible, selectiu, ràpid, robust, automatitzat i de cost moderat que realitzarà processos de cribatge d’alt rendiment (High throughput screening) genètics, mèdics, químics i farmacèutics (per aplicacions diagnòstiques i de identificació i selecció de compostos actius) de manera més eficient. Per poder realitzar aquest objectius el microscopi farà ús de les més noves tecnologies: 1)la microscopia òptica i d’imatge, per millorar la visualització espaial i la sensibilitat de l’imatge; 2) la utilització de nous mètodes de detecció incloent els més moderns avanços en nanopartícules; 3) la creació de mètodes informàtics per adquirir, emmagatzemar i processar les imatges obtingudes.

Modification of the Perrine-Baum diagram to improve the calculation of high voltage electric lines

Through the history of Electrical Engineering education, vectorial and phasorial diagrams have been used as a fundamental learning tool. At present, computational power has replaced them by long data lists, the result of solving equation systems by means of numerical methods. In this sense, diagrams have been shifted to an academic background and although theoretically explained, they are not used in a practical way within specific examples. This fact may be against the understanding of the complex behavior of the electrical power systems by students. This article proposes a modification of the classical Perrine-Baum diagram construction to allowing both a more practical representation and a better understanding of the behavior of a high-voltage electric line under different levels of load. This modification allows, at the same time, the forecast of the obsolescence of this behavior and line’s loading capacity. Complementary, we evaluate the impact of this tool in the learning process showing comparative undergraduate results during three academic years

Comunicador para personas con discapacidad: entregable 2.2: maqueta no funcional para cada uno de los subsistemas

Entregable seguiment conveni C-08197 amb l'empresa B&J Adaptaciones

Comunicador para personas con discapacidad: entregable 3: desarrollo de prototipos funcionales

Entregable del convenio C-08197 con la empresa B&J Adaptaciones

Comunicador para personas con discapacidad. Entregable 4. Evolutivos maquetas y prototipos

Entregable del convenio C-08197 con la empresa B&J adaptaciones

Distributed all-atom simulations of intrinsically unstructured proteins

The Computational Biophysics Group at the Universitat Pompeu Fabra (GRIB-UPF) hosts two unique computational resources dedicated to the execution of large scale molecular dynamics (MD) simulations: (a) the ACMD molecular-dynamics software, used on standard personal computers with graphical processing units (GPUs); and (b) the GPUGRID. net computing network, supported by users distributed worldwide that volunteer GPUs for biomedical research. We leveraged these resources and developed studies, protocols and open-source software to elucidate energetics and pathways of a number of biomolecular systems, with a special focus on flexible proteins with many degrees of freedom. First, we characterized ion permeation through the bactericidal model protein Gramicidin A conducting one of the largest studies to date with the steered MD biasing methodology. Next, we addressed an open problem in structural biology, the determination of drug-protein association kinetics; we reconstructed the binding free energy, association, and dissaciociation rates of a drug like model system through a spatial decomposition and a Makov-chain analysis. The work was published in the Proceedings of the National Academy of Sciences and become one of the few landmark papers elucidating a ligand-binding pathway. Furthermore, we investigated the unstructured Kinase Inducible Domain (KID), a 28-peptide central to signalling and transcriptional response; the kinetics of this challenging system was modelled with a Markovian approach in collaboration with Frank Noe’s group at the Freie University of Berlin. The impact of the funding includes three peer-reviewed publication on high-impact journals; three more papers under review; four MD analysis components, released as open-source software; MD protocols; didactic material, and code for the hosting group.

A targeted association study of immunity genes and networks suggests novel associations with placental malaria infection

A large proportion of the death toll associated with malaria is a consequence of malaria infection during pregnancy, causing up to 200,000 infant deaths annually. We previously published the first extensive genetic association study of placental malaria infection, and here we extend this analysis considerably, investigating genetic variation in over 9,000 SNPs in more than 1,000 genes involved in immunity and inflammation for their involvement in susceptibility to placental malaria infection. We applied a new approach incorporating results from both single gene analysis as well as gene-gene interactionson a protein-protein interaction network. We found suggestive associations of variants in the gene KLRK1 in the single geneanalysis, as well as evidence for associations of multiple members of the IL-7/IL-7R signalling cascade in the combined analysis. To our knowledge, this is the first large-scale genetic study on placental malaria infection to date, opening the door for follow-up studies trying to elucidate the genetic basis of this neglected form of malaria.

Student modeling based on fuzzy inference mechanisms

The paper presents a competence-based instructional design system and a way to provide a personalization of navigation in the course content. The navigation aid tool builds on the competence graph and the student model, which includes the elements of uncertainty in the assessment of students. An individualized navigation graph is constructed for each student, suggesting the competences the student is more prepared to study. We use fuzzy set theory for dealing with uncertainty. The marks of the assessment tests are transformed into linguistic terms and used for assigning values to linguistic variables. For each competence, the level of difficulty and the level of knowing its prerequisites are calculated based on the assessment marks. Using these linguistic variables and approximate reasoning (fuzzy IF-THEN rules), a crisp category is assigned to each competence regarding its level of recommendation.

Solicitud de verificación de la titulación. Grado en Ciencias y Tecnologías de Telecomunicación por la Universitat Politècnica de Catalunya ‐ ETSETB

Solicitud de verificación de la titulaciónGrado en Ciencias y Tecnologías de Telecomunicación por la Universitat Politècnica de Catalunya ‐ ETSETBSegún el protocolo VERIFICA de la Agencia Nacional de Evaluación de la Calidad y Acreditación.

Transmission electron microscopy in cell biology: sample preparation techniques and image information

Transmission electron microscopy is a proven technique in the field of cell biology and a very useful tool in biomedical research. Innovation and improvements in equipment together with the introduction of new technology have allowed us to improve our knowledge of biological tissues, to visualizestructures better and both to identify and to locate molecules. Of all the types ofmicroscopy exploited to date, electron microscopy is the one with the mostadvantageous resolution limit and therefore it is a very efficient technique fordeciphering the cell architecture and relating it to function. This chapter aims toprovide an overview of the most important techniques that we can apply to abiological sample, tissue or cells, to observe it with an electron microscope, fromthe most conventional to the latest generation. Processes and concepts aredefined, and the advantages and disadvantages of each technique are assessedalong with the image and information that we can obtain by using each one ofthem.