AUVReport : Software de control y generación de informes para Vehículos Autónoos Submarinos

Desarrollo de software para el control de calidad y la generación automatizada de informes técnicos sobre ficheros de estado generados por AUV (vehículos autónomos submarinos).

ERP vs software de gestió a entorns complexos de producció

L'objectiu principal de l'estudi és fer una avaluació d'una possible introducció a l'ERP d'un entorn complex de producció com pot ser el món de l'electrònica. Partirem de la hipòtesi que l'empresa vol substituir el software de gestió que fa servir actualment, i que ha estat desenvolupat internament, per plantejar la possibilitat d'introduir aquest entorn sota l'ERP actual o utilitzar un software de gestió de tercers.

ApplicationMap : Administración web y comercio electrónico en entornos de software libre

Este proyecto tiene como objetivo desarrollar las herramientas necesarias para poder crear un mapa conceptual de las aplicaciones de una organización, representar gráficamente este mapa y controlar el estado de cada aplicación. En concreto, se trata de desarrollar un formato XML que permita identificar y describir una aplicación, detallar con qué tecnología está desarrollada, qué componentes utiliza, especificar las interacciones o dependencias con otros sistemas, etc.

Study and implementation of some quantitative trading models

Quantitative or algorithmic trading is the automatization of investments decisions obeying a fixed or dynamic sets of rules to determine trading orders. It has increasingly made its way up to 70% of the trading volume of one of the biggest financial markets such as the New York Stock Exchange (NYSE). However, there is not a signi cant amount of academic literature devoted to it due to the private nature of investment banks and hedge funds. This projects aims to review the literature and discuss the models available in a subject that publications are scarce and infrequently. We review the basic and fundamental mathematical concepts needed for modeling financial markets such as: stochastic processes, stochastic integration and basic models for prices and spreads dynamics necessary for building quantitative strategies. We also contrast these models with real market data with minutely sampling frequency from the Dow Jones Industrial Average (DJIA). Quantitative strategies try to exploit two types of behavior: trend following or mean reversion. The former is grouped in the so-called technical models and the later in the so-called pairs trading. Technical models have been discarded by financial theoreticians but we show that they can be properly cast into a well defined scientific predictor if the signal generated by them pass the test of being a Markov time. That is, we can tell if the signal has occurred or not by examining the information up to the current time; or more technically, if the event is F_t-measurable. On the other hand the concept of pairs trading or market neutral strategy is fairly simple. However it can be cast in a variety of mathematical models ranging from a method based on a simple euclidean distance, in a co-integration framework or involving stochastic differential equations such as the well-known Ornstein-Uhlenbeck mean reversal ODE and its variations. A model for forecasting any economic or financial magnitude could be properly defined with scientific rigor but it could also lack of any economical value and be considered useless from a practical point of view. This is why this project could not be complete without a backtesting of the mentioned strategies. Conducting a useful and realistic backtesting is by no means a trivial exercise since the \laws" that govern financial markets are constantly evolving in time. This is the reason because we make emphasis in the calibration process of the strategies' parameters to adapt the given market conditions. We find out that the parameters from technical models are more volatile than their counterpart form market neutral strategies and calibration must be done in a high-frequency sampling manner to constantly track the currently market situation. As a whole, the goal of this project is to provide an overview of a quantitative approach to investment reviewing basic strategies and illustrating them by means of a back-testing with real financial market data. The sources of the data used in this project are Bloomberg for intraday time series and Yahoo! for daily prices. All numeric computations and graphics used and shown in this project were implemented in MATLAB^R scratch from scratch as a part of this thesis. No other mathematical or statistical software was used.

JULIDE: a software tool for 3D reconstruction and statistical analysis of autoradiographic mouse brain sections.

In this article we introduce JULIDE, a software toolkit developed to perform the 3D reconstruction, intensity normalization, volume standardization by 3D image registration and voxel-wise statistical analysis of autoradiographs of mouse brain sections. This software tool has been developed in the open-source ITK software framework and is freely available under a GPL license. The article presents the complete image processing chain from raw data acquisition to 3D statistical group analysis. Results of the group comparison in the context of a study on spatial learning are shown as an illustration of the data that can be obtained with this tool.

CoDaPack. An Excel and Visual Basic based software of compositional data analysis. Current version and discussion form upcoming versions

In the eighties, John Aitchison (1986) developed a new methodological approach for the statistical analysis of compositional data. This new methodology was implemented in Basic routines grouped under the name CODA and later NEWCODA inMatlab (Aitchison, 1997). After that, several other authors have published extensions to this methodology: Marín-Fernández and others (2000), Barceló-Vidal and others (2001), Pawlowsky-Glahn and Egozcue (2001, 2002) and Egozcue and others (2003). (...)

Comparativa de dues eines de software pel desenvolupament de classificadors d'espectroscòpia de ressonància magnètica nuclear de tumors cerebrals humans

En aquest treball s’ha fet una avaluació comparativa dels resultats que es poden obtenir amb el software SpectraClassifier 1.0 (SC) desenvolupat al nostre grup de recerca, comparant‐lo amb l’SPSS, un programa estadístic informàtic estàndard, en un problema de classificació de tumors cerebrals humans amb dades d’espectroscopia de ressonància magnètica de protó (1H‐ERM). El interès d’aquesta avaluació comparativa radica en la documentació dels resultats obtinguts amb els dos sistemes quan en la correcció dels resultats obtinguts, així com ponderar la versatilitat i usabilitat dels dos paquets de software per a una aplicació concreta d’interès al treball del GABRMN. Per a aquest treball s’han utilitzat dades provinents de dos projecte europeus multicèntrics (INTERPRET i eTumour) en els quals vam participar. Les classes tumorals utilitzades (d’un total de 217 pacients) han sigut les majoritàries des del punt de vista epidemiològic: glioblastoma multiforme, metàstasi, astrocitomes de grau II, ligodendrogliomes de grau II, oligoastrocitomes de grau II i meningiomes de baix grau. Amb les dades d’aquests pacients s’han dissenyat classificadors basats en l’anàlisi discriminant lineal (LDA), s’han avaluat amb diferents mètodes matemàtics i s’han testat amb dades independents. Els resultats han estat satisfactoris, obtenint amb l’SC resultats més robusts amb dades independents respecte la classificació realitzada per l’SPSS.

Elementos para guiar ações visando à orientação empreendedora em organizações de software

Neste artigo, aborda-se a orientação empreendedora (OE) em organizações de software. Tem-se por objetivo propor um conjunto consolidado de elementos que possibilitem guiar ações visando à orientação empreendedora em organizações de software. Para tanto, realizou-se pesquisa de natureza exploratória, com o uso de dados qualitativos. A coleta de dados foi feita por meio de entrevistas em profundidade com executivos de 13 organizações com o intuito de realizar um levantamento de práticas efetivas de orientação empreendedora, para compreensão desse comportamento nas organizações e confirmação dos elementos da base conceitual de orientação empreendedora adotada no estudo. Como resultado, apresenta-se um conjunto de elementos da orientação empreendedora, consolidado a partir da literatura e da prática efetiva das organizações, que constitui importante referência para guiar ações visando à orientação empreendedora em organizações de software. O estudo conclui com o enriquecimento e o detalhamento da base conceitual de orientação empreendedora, com a proposição de categorias, agregação de novos elementos decorrentes da prática organizacional e a consolidação do conjunto de elementos, oferecendo subsídios às organizações de software que desejem desenvolver esse comportamento.

Pigment production by Streptococcus agalactiae in quasi-defined media.

A quasi-defined medium that supports the growth of Streptococcus agalactiae as pigmented colonies has been developed. The medium contains starch, a peptic digest of albumin, amino acids, nucleosides, vitamins, and salts. The presence of free cysteine, which could be replaced with other sulphur-containing compounds and to a lesser degree by reducing agents, was required for pigment formation.

A Nested Case-Control Study of Metabolically Defined Body Size Phenotypes and Risk of Colorectal Cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC).

BACKGROUND Obesity is positively associated with colorectal cancer. Recently, body size subtypes categorised by the prevalence of hyperinsulinaemia have been defined, and metabolically healthy overweight/obese individuals (without hyperinsulinaemia) have been suggested to be at lower risk of cardiovascular disease than their metabolically unhealthy (hyperinsulinaemic) overweight/obese counterparts. Whether similarly variable relationships exist for metabolically defined body size phenotypes and colorectal cancer risk is unknown. METHODS AND FINDINGS The association of metabolically defined body size phenotypes with colorectal cancer was investigated in a case-control study nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Metabolic health/body size phenotypes were defined according to hyperinsulinaemia status using serum concentrations of C-peptide, a marker of insulin secretion. A total of 737 incident colorectal cancer cases and 737 matched controls were divided into tertiles based on the distribution of C-peptide concentration amongst the control population, and participants were classified as metabolically healthy if below the first tertile of C-peptide and metabolically unhealthy if above the first tertile. These metabolic health definitions were then combined with body mass index (BMI) measurements to create four metabolic health/body size phenotype categories: (1) metabolically healthy/normal weight (BMI < 25 kg/m2), (2) metabolically healthy/overweight (BMI ≥ 25 kg/m2), (3) metabolically unhealthy/normal weight (BMI < 25 kg/m2), and (4) metabolically unhealthy/overweight (BMI ≥ 25 kg/m2). Additionally, in separate models, waist circumference measurements (using the International Diabetes Federation cut-points [≥80 cm for women and ≥94 cm for men]) were used (instead of BMI) to create the four metabolic health/body size phenotype categories. Statistical tests used in the analysis were all two-sided, and a p-value of <0.05 was considered statistically significant. In multivariable-adjusted conditional logistic regression models with BMI used to define adiposity, compared with metabolically healthy/normal weight individuals, we observed a higher colorectal cancer risk among metabolically unhealthy/normal weight (odds ratio [OR] = 1.59, 95% CI 1.10-2.28) and metabolically unhealthy/overweight (OR = 1.40, 95% CI 1.01-1.94) participants, but not among metabolically healthy/overweight individuals (OR = 0.96, 95% CI 0.65-1.42). Among the overweight individuals, lower colorectal cancer risk was observed for metabolically healthy/overweight individuals compared with metabolically unhealthy/overweight individuals (OR = 0.69, 95% CI 0.49-0.96). These associations were generally consistent when waist circumference was used as the measure of adiposity. To our knowledge, there is no universally accepted clinical definition for using C-peptide level as an indication of hyperinsulinaemia. Therefore, a possible limitation of our analysis was that the classification of individuals as being hyperinsulinaemic-based on their C-peptide level-was arbitrary. However, when we used quartiles or the median of C-peptide, instead of tertiles, as the cut-point of hyperinsulinaemia, a similar pattern of associations was observed. CONCLUSIONS These results support the idea that individuals with the metabolically healthy/overweight phenotype (with normal insulin levels) are at lower colorectal cancer risk than those with hyperinsulinaemia. The combination of anthropometric measures with metabolic parameters, such as C-peptide, may be useful for defining strata of the population at greater risk of colorectal cancer.

Migración a software libre del Excmo. Ayto. de Alicante

Este proyecto aborda la migración de los sistemas de información de una administración pública de tamaño medio con las simulaciones más importantes propuestas.

A relação entre a satisfação dos funcionários e a satisfação dos clientes: estudo nas empresas de software do município de Belo Horizonte

A indústria de software tem apresentado crescimento vigoroso nos últimos anos, não só em termos mundiais, como também no Brasil. O segmento é composto basicamente por empresas de pequeno porte, com utilização intensiva de mão de obra especializada. No entanto, estudos indicam que o setor pouco se preocupa com a qualificação de funcionários, talvez porque, normalmente, a demanda supere a oferta, o que relega a um plano secundário as preocupações com a gestão de pessoas, ficando as atenções voltadas para o desenvolvimento e a formatação do serviço propriamente dito. Segundo os modelos teóricos, a participação dos funcionários é de vital importância para o fornecimento de um serviço de qualidade, podendo acarretar a satisfação dos clientes, sua lealdade e, consequentemente, incrementar a rentabilidade da organização. A satisfação dos funcionários pode ser alcançada pela introdução de práticas adequadas de gerenciamento de recursos humanos, incluindo boa comunicação, treinamento e desenvolvimento, trabalho em equipe, incentivo à participação e poder de decisão. Diversos modelos foram propostos para avaliar a satisfação dos clientes, a qual é fruto da qualidade percebida do serviço, de suas expectativas e do valor percebido, de acordo com um dos modelos em questão. Alguns estudos relatam a existência de relação positiva e significativa entre satisfação de clientes e de funcionários. Nesse contexto, procurou-se avaliar qual o impacto da satisfação dos funcionários diretamente sobre a satisfação dos clientes, com base em um modelo teórico que integrasse práticas de Recursos Humanos e antecedentes da satisfação dos clientes. Por meio de pesquisa quantitativa, foram entrevistados clientes e funcionários de 50 empresas da indústria de software de Belo Horizonte (Minas Gerais, Brasil), totalizando uma amostra válida de 147 respondentes para cada grupo. Os dados foram avaliados com o recurso da modelagem de equações estruturais, pelo método dos mínimos quadrados parciais. Com base nos resultados obtidos, infere-se que as melhores práticas de Recursos Humanos realmente influenciam a satisfação dos funcionários e que a qualidade percebida do serviço influencia positivamente a satisfação dos clientes. Contudo, não se constatou relação significativa entre a satisfação dos funcionários e a satisfação dos clientes.

GesRetail : software de gestión integral

El proyecto surge con el fin de crear una aplicación que responda a las necesidades de gestión y control de las actividades que se desarrollan en empresas minoristas dedicadas al sector de la electrónica de consumo. Este tipo de establecimientos aunque están muy especializados y proporcionan un trato excelente al público, suelen tener deficiencias técnicas a la hora de gestionar y controlar su negocio. Muchos de ellos carecen de programas informáticos adaptados a sus necesidades, e incluso en algún caso no disponen de ninguno por el alto coste que les supone. Dicho software tiene dos objetivos: por un lado atender las necesidades de este sector y por otro que el desembolso de la adquisición e implantación del mismo sea asequible. Para conseguir este último objetivo se utilizará software libre.

Software de adquisición de imágenes y reconocimiento óptico de caracteres para Android

El presente proyecto parte de la propuesta realizada por la empresa Tempos21 donde se recoge la necesidad de crear una librería de reconocimiento óptico de caracteres para la plataforma Android. Esta librería podrá ser utilizada por diferentes aplicaciones ejecutadas en terminales móviles que cuenten con este sistema operativo.

Reverse immunology approach for the identification of CD8 T-cell-defined antigens: advantages and hurdles.

One of the challenges of tumour immunology remains the identification of strongly immunogenic tumour antigens for vaccination. Reverse immunology, that is, the procedure to predict and identify immunogenic peptides from the sequence of a gene product of interest, has been postulated to be a particularly efficient, high-throughput approach for tumour antigen discovery. Over one decade after this concept was born, we discuss the reverse immunology approach in terms of costs and efficacy: data mining with bioinformatic algorithms, molecular methods to identify tumour-specific transcripts, prediction and determination of proteasomal cleavage sites, peptide-binding prediction to HLA molecules and experimental validation, assessment of the in vitro and in vivo immunogenic potential of selected peptide antigens, isolation of specific cytolytic T lymphocyte clones and final validation in functional assays of tumour cell recognition. We conclude that the overall low sensitivity and yield of every prediction step often requires a compensatory up-scaling of the initial number of candidate sequences to be screened, rendering reverse immunology an unexpectedly complex approach.