Markov chain montecarlo method applied to rounding zeros of compositional data: first approach

As stated in Aitchison (1986), a proper study of relative variation in a compositional data set should be based on logratios, and dealing with logratios excludes dealing with zeros. Nevertheless, it is clear that zero observations might be present in real data sets, either because the corresponding part is completely absent –essential zeros– or because it is below detection limit –rounded zeros. Because the second kind of zeros is usually understood as “a trace too small to measure”, it seems reasonable to replace them by a suitable small value, and this has been the traditional approach. As stated, e.g. by Tauber (1999) and by Martín-Fernández, Barceló-Vidal, and Pawlowsky-Glahn (2000), the principal problem in compositional data analysis is related to rounded zeros. One should be careful to use a replacement strategy that does not seriously distort the general structure of the data. In particular, the covariance structure of the involved parts –and thus the metric properties– should be preserved, as otherwise further analysis on subpopulations could be misleading. Following this point of view, a non-parametric imputation method is introduced in Martín-Fernández, Barceló-Vidal, and Pawlowsky-Glahn (2000). This method is analyzed in depth by Martín-Fernández, Barceló-Vidal, and Pawlowsky-Glahn (2003) where it is shown that the theoretical drawbacks of the additive zero replacement method proposed in Aitchison (1986) can be overcome using a new multiplicative approach on the non-zero parts of a composition. The new approach has reasonable properties from a compositional point of view. In particular, it is “natural” in the sense that it recovers the “true” composition if replacement values are identical to the missing values, and it is coherent with the basic operations on the simplex. This coherence implies that the covariance structure of subcompositions with no zeros is preserved. As a generalization of the multiplicative replacement, in the same paper a substitution method for missing values on compositional data sets is introduced

Alternative ways to estimate change points in multinomial sequences. An application to an authorship attribution problem

The statistical analysis of literary style is the part of stylometry that compares measurable characteristics in a text that are rarely controlled by the author, with those in other texts. When the goal is to settle authorship questions, these characteristics should relate to the author’s style and not to the genre, epoch or editor, and they should be such that their variation between authors is larger than the variation within comparable texts from the same author. For an overview of the literature on stylometry and some of the techniques involved, see for example Mosteller and Wallace (1964, 82), Herdan (1964), Morton (1978), Holmes (1985), Oakes (1998) or Lebart, Salem and Berry (1998). Tirant lo Blanc, a chivalry book, is the main work in catalan literature and it was hailed to be “the best book of its kind in the world” by Cervantes in Don Quixote. Considered by writters like Vargas Llosa or Damaso Alonso to be the first modern novel in Europe, it has been translated several times into Spanish, Italian and French, with modern English translations by Rosenthal (1996) and La Fontaine (1993). The main body of this book was written between 1460 and 1465, but it was not printed until 1490. There is an intense and long lasting debate around its authorship sprouting from its first edition, where its introduction states that the whole book is the work of Martorell (1413?-1468), while at the end it is stated that the last one fourth of the book is by Galba (?-1490), after the death of Martorell. Some of the authors that support the theory of single authorship are Riquer (1990), Chiner (1993) and Badia (1993), while some of those supporting the double authorship are Riquer (1947), Coromines (1956) and Ferrando (1995). For an overview of this debate, see Riquer (1990). Neither of the two candidate authors left any text comparable to the one under study, and therefore discriminant analysis can not be used to help classify chapters by author. By using sample texts encompassing about ten percent of the book, and looking at word length and at the use of 44 conjunctions, prepositions and articles, Ginebra and Cabos (1998) detect heterogeneities that might indicate the existence of two authors. By analyzing the diversity of the vocabulary, Riba and Ginebra (2000) estimates that stylistic boundary to be near chapter 383. Following the lead of the extensive literature, this paper looks into word length, the use of the most frequent words and into the use of vowels in each chapter of the book. Given that the features selected are categorical, that leads to three contingency tables of ordered rows and therefore to three sequences of multinomial observations. Section 2 explores these sequences graphically, observing a clear shift in their distribution. Section 3 describes the problem of the estimation of a suden change-point in those sequences, in the following sections we propose various ways to estimate change-points in multinomial sequences; the method in section 4 involves fitting models for polytomous data, the one in Section 5 fits gamma models onto the sequence of Chi-square distances between each row profiles and the average profile, the one in Section 6 fits models onto the sequence of values taken by the first component of the correspondence analysis as well as onto sequences of other summary measures like the average word length. In Section 7 we fit models onto the marginal binomial sequences to identify the features that distinguish the chapters before and after that boundary. Most methods rely heavily on the use of generalized linear models

Towards Detecting Changes in Underwater Image Sequences

Detecting changes between images of the same scene taken at different times is of great interest for monitoring and understanding the environment. It is widely used for on-land application but suffers from different constraints. Unfortunately, Change detection algorithms require highly accurate geometric and photometric registration. This requirement has precluded their use in underwater imagery in the past. In this paper, the change detection techniques available nowadays for on-land application were analyzed and a method to automatically detect the changes in sequences of underwater images is proposed. Target application scenarios are habitat restoration sites, or area monitoring after sudden impacts from hurricanes or ship groundings. The method is based on the creation of a 3D terrain model from one image sequence over an area of interest. This model allows for synthesizing textured views that correspond to the same viewpoints of a second image sequence. The generated views are photometrically matched and corrected against the corresponding frames from the second sequence. Standard change detection techniques are then applied to find areas of difference. Additionally, the paper shows that it is possible to detect false positives, resulting from non-rigid objects, by applying the same change detection method to the first sequence exclusively. The developed method was able to correctly find the changes between two challenging sequences of images from a coral reef taken one year apart and acquired with two different cameras

A Monte Carlo method for accelerating the computation of animated radiosity sequences

Realistic rendering animation is known to be an expensive processing task when physically-based global illumination methods are used in order to improve illumination details. This paper presents an acceleration technique to compute animations in radiosity environments. The technique is based on an interpolated approach that exploits temporal coherence in radiosity. A fast global Monte Carlo pre-processing step is introduced to the whole computation of the animated sequence to select important frames. These are fully computed and used as a base for the interpolation of all the sequence. The approach is completely view-independent. Once the illumination is computed, it can be visualized by any animated camera. Results present significant high speed-ups showing that the technique could be an interesting alternative to deterministic methods for computing non-interactive radiosity animations for moderately complex scenarios

Adopción de políticas Lean supply chain en la cadena porcina en Cataluña

Después de Alemania, España es el segundo mayor productor de cerdos entre los 25 países de la Unión Europea. El consumidor tiene una importancia relevante debido a la tradición cultural del consumo de carne, reflejada en la gastronomía de todas las regiones de España. Cataluña forma parte de las seis regiones Europeas más productoras de cerdos y representa aproximadamente un tercio de la producción Española. El presente trabajo analiza las características y comportamiento de varios agentes que conforman la cadena de abastecimiento porcina en Cataluña, con el objetivo de valorar si estas operan de acuerdo a los parámetros de una cadena de abastecimiento Lean. Inicialmente un modelo de cadena Lean se propone como herramienta para llevar a cabo la valoración. Los resultados llevan a determinar si la situación en la cadena porcina Catalana se asemeja a una cadena tipo Lean.

Synthesis of antimicrobial peptides derived from BP100 and BPC194

In the present PhD thesis we studied the solid-phase peptide synthesis of antimicrobial peptides derived from the lead peptides BP100 and BPC194. First, peptides derived from BP100 containing D-amino acids at different positions of the sequences were prepared. Moreover, peptidotriazoles derived from BP100 were also synthesized containing the triazole ring at the side-chain of different amino acids. Then, we proceeded to perform studies for the synthesis of multivalent peptides derived from BPC194. To achieve this objective, the synthesis of cyclic peptides containig a triazole ring at amino acids side-chain with different elongations was carried out. Finally, we prepared various carbopeptides containing 2 and 4 units of BP100 and/or its derivatives. The evaluation of the biological activity allowed the identification of active sequences against the economically important phytopathogenic bacteria and fungi and not toxic against eukaryotic cells.

Aislamiento, identificación y conservación de cultivos de bacterias lácticas antagonistas de microbiota contaminante de sangre de matadero

La sangre obtenida en el matadero es un producto altamente contaminado que requiere un procesamiento inmediato si se pretende utilizarla como insumo alimentario en la fabricación de productos destinados al consumo humano. Si bien es cierto que los sistemas de higienización podrían ser muy eficientes desde el punto de vista de calidad microbiológica, su instalación en la línea de sacrificio comportaría muchas dificultades desde el punto de vista técnico y en algún caso sería muy costoso. La bioconservación podría ser una alternativa para mejorar la calidad microbiológica de la sangre, alargar su vida útil y reducir las posibilidades de procesamiento inmediato. El presente estudio nos permitiría formular la posibilidad de aplicar la bioconservación en sangre de cerdo procedente de matadero industrial, utilizando bacterias ácido lácticas (BAL) como cultivo bioprotector, para lo cual se aislaron cepas de BAL autóctonas y se confeccionaron dos colecciones una de BAL mesófilas y otra de psicrótrofas. Se evaluó el potencial antagonista de la colección de BAL mesófilas y psicrótrofas a 30ºC y a 15ºC respectivamente frente a bacterias contaminantes habituales de este subproducto. Las BAL que demostraron antagonismo en placa (7,1% a 30ºC y 11% a 15ºC) fueron seleccionadas para evaluar el potencial antagonista en sangre, donde el efecto inhibitorio se vio favorecido por la adición de un 2% glucosa. S.aureus y P. fluorescens fueron los indicadores más inhibidos por las cepas mesófilas, en algunos casos con reducciones superiores a 7 unidades logarítmicas. En condiciones psicrótrofas la bacteria más sensible a la presencia de BAL fue Bacillus sp., donde 8 de las 11 BAL ensayadas permitieron reducciones superiores a 4 logs y 1cepa incluso superiores a 7 logs; se obtuvieron reducciones máximas de 3 logs de E.coli y Pseudomonas fue inhibida por todas las BAL ensayadas, en algún caso con reducciones superiores a 5 logs. Las 5 que cepas que presentaron el espectro de inhibición más amplio en condiciones mesófilas y 7 en condiciones psicrótrofas frente a los microorganismos indicadores contaminantes de sangre de matadero se identificaron mediante técnicas moleculares por comparación de la secuencias correspondientes al gen que codifica la síntesis de 16S ARNr (16S ADNr) con las secuencias publicadas en las bases de datos. De las 7 cepas antagonistas en condiciones psicrótrofas 5 se identificaron como Lactococcus garvieae y 2 como Enterococcus malodoratus/gilvius raffinosus. Todas las BAL con potencial antagonista en condiciones mesófilas pertenecían al género Lactobacillus, 3 de elllas se identificaron como Lactobacillus murinus/animalis y una se identificó como Lactobacillus reuteri. TA20 que tuvo un gran espectro de inhibición a ambas temperaturas se identificó como Lactococcus garvieae. En este estudio se evaluaron tres métodos de conservación a largo plazo de las cepas que mostraron potencial antagonista. Se comparó la liofilización, la atomización frente a la congelación a -80ºC que era método que se había utilizado hasta el momento para conservar ambas colecciones de BAL. En general, los métodos de deshidratación (atomización y liofilización) y mantenimiento en refrigeración a 5ºC de los cultivos deshidratados se han mostrado más eficaces que la congelación.