Modelat d'edificis basats en extrusions procedurals per a skylineEngine

Actualment ens trobem en un món on tot gira al voltant de les noves tecnologies, i un pilar fonamental és l'oci i l'entreteniment. Això engloba principalment les indústries del cinema, videojocs i realitat virtual. Un dels problemes que tenen aquestes indústries és com crear l'escenari on es produeix la història. L'objectiu d'aquest projecte de final de carrera és crear una eina integrada al skylineEngine, que serveixi per crear edificis de manera procedural, on l'usuari pugui definir l'estètica d'aquest edifici, introduint la seva planta i els perfils adequats. El que s'implementarà serà una eina de modelatge per a dissenyadors, que a partir d'una planta i perfils pugui crear l'edifici.Aquest projecte es desenvoluparà a sobre del mòdul de generació d'edificis del skylineEngine, una eina pel modelatge de ciutats que s'executa sobre el Houdini 3D, que és una plataforma genèrica pel modelatge procedural d'objectes.El desenvolupament d'aquest projecte implica:• Estudi de la plataforma de desenvolupament Houdini 3D i de les llibreries necessàries per la incorporació de scripts Python. Estudi de les EEDD internes de Houdini.• Aprendre i manejar el llenguatge de programació Python.• Estudi del codi de l'article Interactive Architectural Modeling with Procedural Extrusions, per en Tom Kelly i en Peter Wonka, publicat a la revista ACM Transactions on Graphics (2011).• Desenvolupament d'algorismes de conversió de geometria d'una estructura tipus face-vertex a una de tipus half-edge, i viceversa.• Modificació del codi Java per acceptar crides sense interfície d'usuari i amb estructures de dades generades des de Python.• Aprendre el funcionament de la llibreria JPype per permetre enllaçar el Java dins el Python.• Estudi del skylineEngine i de les llibreries per la creació d'edificis.• Integració del resultat dintre del skylineEngine.• Verificació i ajust de les regles i paràmetres de la simulació per a diferents edificis

Implantació del sistema gestor de continguts web phone basat en la plataforma zope

Es realitzarà l'implantació del sistema gestor de continguts (CMS)Plone utilitzant com a fil conductor l'aplicació del mateix al desenvolupament d'un CMS per al Departament de Matemàtica de l'EPS i que contempli tota la seva infraestructura.

Resolución de los problemas MaxSAT y MinSAT mediante programación lineal entera

Presentación de una traducción de los problemas MaxSAT y MinSAT a un problema de programación lineal entera e implementación de un resolutor MaxSAT y MinSAT usando Python y el software de programación lineal entera CPLEX. Evaluación de los resultados comparándolos con los de la MaxSAT Evaluation 2010.

Deep thiopental anesthesia alters steady-state glucose homeostasis but not the neurochemical profile of rat cortex.

Barbiturates are regularly used as an anesthetic for animal experimentation and clinical procedures and are frequently provided with solubilizing compounds, such as ethanol and propylene glycol, which have been reported to affect brain function and, in the case of (1)H NMR experiments, originate undesired resonances in spectra affecting the quantification. As an alternative, thiopental can be administrated without any solubilizing agents. The aim of the study was to investigate the effect of deep thiopental anesthesia on the neurochemical profile consisting of 19 metabolites and on glucose transport kinetics in vivo in rat cortex compared with alpha-chloralose using localized (1)H NMR spectroscopy. Thiopental was devoid of effects on the neurochemical profile, except for the elevated glucose at a given plasma glucose level resulting from thiopental-induced depression of glucose consumption at isoelectrical condition. Over the entire range of plasma glucose levels, steady-state glucose concentrations were increased on average by 48% +/- 8%, implying that an effect of deep thiopental anesthesia on the transport rate relative to cerebral glucose consumption ratio was increased by 47% +/- 8% compared with light alpha-chloralose-anesthetized rats. We conclude that the thiopental-induced isoelectrical condition in rat cortex significantly affected glucose contents by depressing brain metabolism, which remained substantial at isoelectricity.

Biana: a software framework for compiling biological interactions and analyzing networks

Background: The analysis and usage of biological data is hindered by the spread of information across multiple repositories and the difficulties posed by different nomenclature systems and storage formats. In particular, there is an important need for data unification in the study and use of protein-protein interactions. Without good integration strategies, it is difficult to analyze the whole set of available data and its properties.Results: We introduce BIANA (Biologic Interactions and Network Analysis), a tool for biological information integration and network management. BIANA is a Python framework designed to achieve two major goals: i) the integration of multiple sources of biological information, including biological entities and their relationships, and ii) the management of biological information as a network where entities are nodes and relationships are edges. Moreover, BIANA uses properties of proteins and genes to infer latent biomolecular relationships by transferring edges to entities sharing similar properties. BIANA is also provided as a plugin for Cytoscape, which allows users to visualize and interactively manage the data. A web interface to BIANA providing basic functionalities is also available. The software can be downloaded under GNU GPL license from http://sbi.imim.es/web/BIANA.php.Conclusions: BIANA's approach to data unification solves many of the nomenclature issues common to systems dealing with biological data. BIANA can easily be extended to handle new specific data repositories and new specific data types. The unification protocol allows BIANA to be a flexible tool suitable for different user requirements: non-expert users can use a suggested unification protocol while expert users can define their own specific unification rules.

Coparenting and Toddler's Interactive Styles in Family Coalitions

The current study examined the coparenting and toddler's interactive styles in family coalitions. According to structural family theory, boundaries between generations are clear in alliances, but disturbed in coalitions: the parents look to the child to regulate their conflictual relationship and the child attempts to meet this need. In a normative sample studied longitudinally during the Lausanne Trilogue Play situation (LTP, N=38), 15 coalition cases were detected. Styles of coparenting and of child's interactions were determined and compared in coalition and alliance cases at 18 months. Findings confirm the structural family model by showing the specific ways in which the coparenting and the toddler's interactive styles are associated in 3 different patterns of coalitions: binding, detouring, and triangulation. They illustrate how the child's triangular capacity, or her ability to simultaneously communicate with both parents, is used to regulate the parents' relationship. They suggest that the LTP observational paradigm is a promising assessment method of early family interactions. They point to the importance of assessing early the child's contribution to family coalitions.

PyRate: a new program to estimate speciation and extinction rates from incomplete fossil data

Despite the advancement of phylogenetic methods to estimate speciation and extinction rates, their power can be limited under variable rates, in particular for clades with high extinction rates and small number of extant species. Fossil data can provide a powerful alternative source of information to investigate diversification processes. Here, we present PyRate, a computer program to estimate speciation and extinction rates and their temporal dynamics from fossil occurrence data. The rates are inferred in a Bayesian framework and are comparable to those estimated from phylogenetic trees. We describe how PyRate can be used to explore different models of diversification. In addition to the diversification rates, it provides estimates of the parameters of the preservation process (fossilization and sampling) and the times of speciation and extinction of each species in the data set. Moreover, we develop a new birth-death model to correlate the variation of speciation/extinction rates with changes of a continuous trait. Finally, we demonstrate the use of Bayes factors for model selection and show how the posterior estimates of a PyRate analysis can be used to generate calibration densities for Bayesian molecular clock analysis. PyRate is an open-source command-line Python program available at http://sourceforge.net/projects/pyrate/.

Deep thiopental anesthesia alters steady-state glucose homeostasis but not the neurochemical profile of rat cortex.

Barbiturates are regularly used as an anesthetic for animal experimentation and clinical procedures and are frequently provided with solubilizing compounds, such as ethanol and propylene glycol, which have been reported to affect brain function and, in the case of (1)H NMR experiments, originate undesired resonances in spectra affecting the quantification. As an alternative, thiopental can be administrated without any solubilizing agents. The aim of the study was to investigate the effect of deep thiopental anesthesia on the neurochemical profile consisting of 19 metabolites and on glucose transport kinetics in vivo in rat cortex compared with alpha-chloralose using localized (1)H NMR spectroscopy. Thiopental was devoid of effects on the neurochemical profile, except for the elevated glucose at a given plasma glucose level resulting from thiopental-induced depression of glucose consumption at isoelectrical condition. Over the entire range of plasma glucose levels, steady-state glucose concentrations were increased on average by 48% +/- 8%, implying that an effect of deep thiopental anesthesia on the transport rate relative to cerebral glucose consumption ratio was increased by 47% +/- 8% compared with light alpha-chloralose-anesthetized rats. We conclude that the thiopental-induced isoelectrical condition in rat cortex significantly affected glucose contents by depressing brain metabolism, which remained substantial at isoelectricity.

Processat de vídeo aplicat a la robòtica

Aquest projecte consisteix en acoblar una càmera web uEye en una de les extremitats d'un robot industrial (ABB Irc5). Aquest robot, es mourà en cas què es detecti una cara a través de la webcam. L'objectiu és intentar que la cara es situï sempre al mig de la imatge captada per la càmera. Podem dividir les tasques d'aquest projecte amb 4 fases diferents. A continuació expliquem les diferents etapes. La Càmera uEye s'encarrega de capturar imatges i passar-les a un PC utilitzant Python. La funció de Detecció de Cares ens indica la posició i dimensions de la cara. Tot seguit, la funció LabJack s'encarrega de canviar els valors digitals de les 5 senyals mitjançant programació amb Python. Per últim el Robot ABB interpreta el valor d'aquestes 5 senyals i es desplaça mitjançant petits increments amb l'objectiu de situar la cara al mig de la imatge capturada.

Reconeixement de gestos de la mà amb el sensor Kinect

El reconeixement dels gestos de la mà (HGR, Hand Gesture Recognition) és actualment un camp important de recerca degut a la varietat de situacions en les quals és necessari comunicar-se mitjançant signes, com pot ser la comunicació entre persones que utilitzen la llengua de signes i les que no. En aquest projecte es presenta un mètode de reconeixement de gestos de la mà a temps real utilitzant el sensor Kinect per Microsoft Xbox, implementat en un entorn Linux (Ubuntu) amb llenguatge de programació Python i utilitzant la llibreria de visió artifical OpenCV per a processar les dades sobre un ordinador portàtil convencional. Gràcies a la capacitat del sensor Kinect de capturar dades de profunditat d’una escena es poden determinar les posicions i trajectòries dels objectes en 3 dimensions, el que implica poder realitzar una anàlisi complerta a temps real d’una imatge o d’una seqüencia d’imatges. El procediment de reconeixement que es planteja es basa en la segmentació de la imatge per poder treballar únicament amb la mà, en la detecció dels contorns, per després obtenir l’envolupant convexa i els defectes convexos, que finalment han de servir per determinar el nombre de dits i concloure en la interpretació del gest; el resultat final és la transcripció del seu significat en una finestra que serveix d’interfície amb l’interlocutor. L’aplicació permet reconèixer els números del 0 al 5, ja que s’analitza únicament una mà, alguns gestos populars i algunes de les lletres de l’alfabet dactilològic de la llengua de signes catalana. El projecte és doncs, la porta d’entrada al camp del reconeixement de gestos i la base d’un futur sistema de reconeixement de la llengua de signes capaç de transcriure tant els signes dinàmics com l’alfabet dactilològic.

Prevalence of victims of violence admitted to an emergency department.

OBJECTIVE: To collect data on the consultation frequency and demographic profile of victims of violence attending an emergency department (ED) in Switzerland. METHODS: We undertook screening of all admitted adult patients (>16 years) in the ED of the CHUV, Lausanne, Switzerland, over a 1 month period, using a modified version of the Partner Violence Screen questionnaire. Exclusionary criteria were: life threatening injury (National Advisory Committee on Aeronautics score > or =4), or inability to understand or speak French, to give oral informed consent, or to be questioned without a family member or accompanying person being present. Data were collected on history of physical and/or psychological violence during the previous 12 months, the type of violence experienced by the patient, and if violence was the reason for the current consultation. Sociodemographic data were obtained from the registration documents. RESULTS: The final sample consisted of 1602 patients (participation rate of 77.2%), with a refusal rate of 1.1%. Violence during the past 12 months was reported by 11.4% of patients. Of the total sample, 25% stated that violence was the reason for the current consultation; of these, 95% of patients were confirmed as victims of violence by the ED physicians. Patients reporting violence were more likely to be young and separated from their partner. Men were more likely to be victims of public violence and women more commonly victims of domestic violence. CONCLUSIONS: Based on this monthly prevalence rate, we estimate that over 3000 adults affected by violence consult our ED per annum. This underlines the importance of the problem and the need to address it. Health services organisations should establish measures to improve quality of care for victims. Guidelines and educational programmes for nurses and physicians should be developed in order to enhance providers' skills and basic knowledge of all types of violence, how to recognise and interact appropriately with victims, and where to refer these patients for follow up care in their local networks.

The connectome viewer toolkit: an open source framework to manage, analyze, and visualize connectomes.

Advanced neuroinformatics tools are required for methods of connectome mapping, analysis, and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration, and sharing. We have designed and implemented the Connectome Viewer Toolkit - a set of free and extensible open source neuroimaging tools written in Python. The key components of the toolkit are as follows: (1) The Connectome File Format is an XML-based container format to standardize multi-modal data integration and structured metadata annotation. (2) The Connectome File Format Library enables management and sharing of connectome files. (3) The Connectome Viewer is an integrated research and development environment for visualization and analysis of multi-modal connectome data. The Connectome Viewer's plugin architecture supports extensions with network analysis packages and an interactive scripting shell, to enable easy development and community contributions. Integration with tools from the scientific Python community allows the leveraging of numerous existing libraries for powerful connectome data mining, exploration, and comparison. We demonstrate the applicability of the Connectome Viewer Toolkit using Diffusion MRI datasets processed by the Connectome Mapper. The Connectome Viewer Toolkit is available from http://www.cmtk.org/

Toll-Interacting Protein Deficiency Leads to Increased Susceptibility to Acute and Chronic Colitis.

BACKGROUND: Sensing of bacterial products via Toll-like receptors is critical to maintain gut immune homeostasis. The Toll-Interacting Protein (Tollip) inhibits downstream signaling through the IL-1 receptor, TLR-2 and TLR-4. Here,we aimed to address the role of Tollip in acute and chronic inflammatory responses in the gut. MATERIAL AND METHODS: WT or Tollip-deficient mice were exposed to dextran sulfate sodium (DSS) 1.5% in the drinking water during 7 days. To generate bone-marrow chimeras, WT or Tollip deficient mice were 900-rads irradiated, transplanted with WT or Tollip deficient bone-marrow cells and challenged with DSS 2-3 months after transplantation. IL-10 deficient mice were bred with Tollip deficient mice and colitis was compared at various time points. RESULTS: Upon DSS exposure, Tollip-deficient mice had increased body weight loss and increased pro-inflammatory cytokine expression compared to WT controls. Challenge of bone-marrow chimeras showed that colitis susceptibility was also increased when Tollip deficiency was restricted to non-hematopoietic cells. DSS-exposure lead to a disorganized distribution of zona-occludens-1, a tight junction marker and increased number of apoptotic, cleaved caspase 3 positive, epithelial cells in Tollip-deficient compared to WT mice. Chronic colitis was also affected by Tollip deficiency as Tollip/IL-10 deficient mice had more severe histological stigmata of colitis and higher IL-17 expression than IL-10 deficient controls. CONCLUSION: Tollip in non-hematopoietic cells is critical for adequate response to a chemical-induced stress in the gut and to hamper chronic bacteria-driven colitis. Modulation of epithelial cell integrity via Tollip likely contributes to the observed defects.

ConnectomeViewer - Multi-Modal Multi-Level Network Visualization and Analysis.

Introduction: The field of Connectomic research is growing rapidly, resulting from methodological advances in structural neuroimaging on many spatial scales. Especially progress in Diffusion MRI data acquisition and processing made available macroscopic structural connectivity maps in vivo through Connectome Mapping Pipelines (Hagmann et al, 2008) into so-called Connectomes (Hagmann 2005, Sporns et al, 2005). They exhibit both spatial and topological information that constrain functional imaging studies and are relevant in their interpretation. The need for a special-purpose software tool for both clinical researchers and neuroscientists to support investigations of such connectome data has grown. Methods: We developed the ConnectomeViewer, a powerful, extensible software tool for visualization and analysis in connectomic research. It uses the novel defined container-like Connectome File Format, specifying networks (GraphML), surfaces (Gifti), volumes (Nifti), track data (TrackVis) and metadata. Usage of Python as programming language allows it to by cross-platform and have access to a multitude of scientific libraries. Results: Using a flexible plugin architecture, it is possible to enhance functionality for specific purposes easily. Following features are already implemented: * Ready usage of libraries, e.g. for complex network analysis (NetworkX) and data plotting (Matplotlib). More brain connectivity measures will be implemented in a future release (Rubinov et al, 2009). * 3D View of networks with node positioning based on corresponding ROI surface patch. Other layouts possible. * Picking functionality to select nodes, select edges, get more node information (ConnectomeWiki), toggle surface representations * Interactive thresholding and modality selection of edge properties using filters * Arbitrary metadata can be stored for networks, thereby allowing e.g. group-based analysis or meta-analysis. * Python Shell for scripting. Application data is exposed and can be modified or used for further post-processing. * Visualization pipelines using filters and modules can be composed with Mayavi (Ramachandran et al, 2008). * Interface to TrackVis to visualize track data. Selected nodes are converted to ROIs for fiber filtering The Connectome Mapping Pipeline (Hagmann et al, 2008) processed 20 healthy subjects into an average Connectome dataset. The Figures show the ConnectomeViewer user interface using this dataset. Connections are shown that occur in all 20 subjects. The dataset is freely available from the homepage (connectomeviewer.org). Conclusions: The ConnectomeViewer is a cross-platform, open-source software tool that provides extensive visualization and analysis capabilities for connectomic research. It has a modular architecture, integrates relevant datatypes and is completely scriptable. Visit www.connectomics.org to get involved as user or developer.