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.

Early major worsening in ischemic stroke: predictors and outcome.

INTRODUCTION: We aimed to investigate the characteristics and outcome of patients suffering early major worsening (EMW) after acute ischemic stroke (AIS) and assess the parameters associated with it. METHODS: All consecutive patients with AIS in the ASTRAL registry until 10/2010 were included. EMW was defined as an NIHSS increase of ≥8 points within the first 24 h after admission. The Bootstrap version of the Kolmogorov-Smirnov test and the χ(2)-test were used for the comparison of continuous and categorical covariates, respectively, between patients with and without EMW. Multiple logistic regression analysis was performed to identify independent predictors of EMW. RESULTS: Among 2155 patients, 43 (2.0 %) had an EMW. EMW was independently associated with hemorrhagic transformation (OR 22.6, 95 % CI 9.4-54.2), cervical artery dissection (OR 9.5, 95 % CI 4.4-20.6), initial dysarthria (OR 3.7, 95 % CI 1.7-8.0), and intravenous thrombolysis (OR 2.1, 95 % CI 1.1-4.3), whereas a negative association was identified with initial eye deviation (OR 0.4, 95 % CI 0.2-0.9). Favorable outcome at 3 and 12 months was less frequent in patients with EMW compared to patients without (11.6 vs. 55.3 % and 16.3 vs. 50.7 %, respectively), and case fatality was higher (53.5 vs. 12.9 % and 55.8 vs. 16.8 %, respectively). Stroke recurrence within 3 months in surviving patients was similar between patients with and without EMW (9.3 vs. 9.0 %, respectively). CONCLUSIONS: Worsening of ≥8 points in the NIHSS score during the first 24 h in AIS patients is related to cervical artery dissection and hemorrhagic transformation. It justifies urgent repeat parenchymal and arterial imaging. Both conditions may be influenced by targeted interventions in the acute phase of stroke.

CIAU : Aplicació web per a gestió d'incidències en entorns virtuals

Aplicació web per entrar i gestionar incidències desenvolupada amb CodeIgniter (PHP) i Bootstrap.

A step-by-step tutorial to use HierFstat to analyse populations hierarchically structured at multiple levels.

The populations of parasites and infectious agents are most of the time structured in complex hierarchy that lies beyond the classical nested design described by Wright's F-statistics (F(IS), F(ST) and F(IT)). In this note we propose a user-friendly step-by-step notice for using recent software (HierFstat) that computes and test fixation indices for any hierarchical structure. We add some tricks and tips for some special data kind (haploid, single locus), some other procedure (bootstrap over loci) and how to handle crossed factors.

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.

Identification of care needs of patients with and without the use of a classification instrument

Objective: To analyze the agreement and disagreement between the assessments by applying or not a patient classification instrument, and to investigate the association between the agreement and personal and professional characteristics of the evaluators. Method: This is a descriptive exploratory study. 105 patients were hospitalized in a teaching hospital in the state of Sao Paulo, using the kappa statistic (weighted) and the Bootstrap method. Results: The agreement between the assessments were​​: kw 0.87 (instrument x internal evaluator), kw 0.78 (instrument x external evaluator) and kw 0.76 (between evaluators) and the influence of some personal and professional characteristics. The assessments conducted through the use of an instrument contemplated a greater number of areas of care in relation to when the instrument was not applied. Conclusion: The use of this instrument is recommended in order to more effectively identify care needs of patients.




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.

Stepwise multiple testing as formalized data snooping

It is common in econometric applications that several hypothesis tests arecarried out at the same time. The problem then becomes how to decide whichhypotheses to reject, accounting for the multitude of tests. In this paper,we suggest a stepwise multiple testing procedure which asymptoticallycontrols the familywise error rate at a desired level. Compared to relatedsingle-step methods, our procedure is more powerful in the sense that itoften will reject more false hypotheses. In addition, we advocate the useof studentization when it is feasible. Unlike some stepwise methods, ourmethod implicitly captures the joint dependence structure of the teststatistics, which results in increased ability to detect alternativehypotheses. We prove our method asymptotically controls the familywise errorrate under minimal assumptions. We present our methodology in the context ofcomparing several strategies to a common benchmark and deciding whichstrategies actually beat the benchmark. However, our ideas can easily beextended and/or modied to other contexts, such as making inference for theindividual regression coecients in a multiple regression framework. Somesimulation studies show the improvements of our methods over previous proposals. We also provide an application to a set of real data.

Improved nonparametric confidence intervals in time series regressions

Condence intervals in econometric time series regressions suffer fromnotorious coverage problems. This is especially true when the dependencein the data is noticeable and sample sizes are small to moderate, as isoften the case in empirical studies. This paper suggests using thestudentized block bootstrap and discusses practical issues, such as thechoice of the block size. A particular data-dependent method is proposedto automate the method. As a side note, it is pointed out that symmetricconfidence intervals are preferred over equal-tailed ones, since theyexhibit improved coverage accuracy. The improvements in small sampleperformance are supported by a simulation study.

Diversidade de Arctiinae (Lepidoptera, Arctiidae) capturados com armadilha luminosa, em seis comunidades no Rio Grande do Sul, Brasil

Foram estudadas as faunas de Arctiinae em Camaquã, Iraí, Lagoa Vermelha, Mostardas, Piratini, e São Pedro da Serra. As mariposas foram capturadas por meio de armadilhas luminosas, uma vez por mês, na fase de lua nova, de janeiro de 1998 até dezembro de 1999. Na avaliação das comunidades, foram utilizados a riqueza de espécies, abundancia, constancia bem como, os índices de diversidade e uniformidade de Shannon e Brillouin. Para avaliar a variação do número de exemplares entre os meses e as localidades, foi realizada análise de variância. Na estimativa da riqueza de espécies para cada local, foram usados os procedimentos estatísticos não paramétricos "Bootstrap", "Chao 1", "Chao 2", "Jackknife 1", "Jackknife 2" e "Michaelis-Mentem". Foram capturados 9.800 exemplares de Arctiinae, pertencentes a 192 espécies e distribuídas em 6 tribos. A abundancia e riqueza de espécie, foram maiores em 1998 do que em 1999. Os maiores índices de diversidade em 1998 foram encontrados em Camaquã, Iraí e São Pedro da Serra; entretanto em 1999 Iraí, Piratini e São Pedro da Serra foram os locais de mais elevada diversidade. De acordo com os estimadores de riqueza de espécies podem ser encontradas mais 34% de espécies em Camaquã, 18% em Iraí, 75% em Lagoa Vermelha, 47% em Mostardas, 66% em Piratini e 43% em São Pedro da Serra.

Testing Spatial Autocorrelation in Weighted Networks : the Modes Permutation Test

In a weighted spatial network, as specified by an exchange matrix, the variances of the spatial values are inversely proportional to the size of the regions. Spatial values are no more exchangeable under independence, thus weakening the rationale for ordinary permutation and bootstrap tests of spatial autocorrelation. We propose an alternative permutation test for spatial autocorrelation, based upon exchangeable spatial modes, constructed as linear orthogonal combinations of spatial values. The coefficients obtain as eigenvectors of the standardised exchange matrix appearing in spectral clustering, and generalise to the weighted case the concept of spatial filtering for connectivity matrices. Also, two proposals aimed at transforming an acessibility matrix into a exchange matrix with with a priori fixed margins are presented. Two examples (inter-regional migratory flows and binary adjacency networks) illustrate the formalism, rooted in the theory of spectral decomposition for reversible Markov chains.

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/.