PanGet - downloads multiple data sets from PANGAEA

The software PanGet is a special tool for the download of multiple data sets from PANGAEA. It uses the PANGAEA data set ID which is unique and part of the DOI. In a first step a list of ID's of those data sets to be downloaded must be created. There are two choices to define this individual collection of sets. Based on the ID list, the tool will download the data sets. Failed downloads are written to the file *_failed.txt. The functionality of PanGet is also part of the program Pan2Applic (choose File > Download PANGAEA datasets...) and PanTool2 (choose Basic tools > Download PANGAEA datasets...).

Benthic and substrate cover data derived from a time series of photo-transect surveys for the Eastern Banks, Moreton Bay Australia, 2004-2015

This paper describes seagrass species and percentage cover point-based field data sets derived from georeferenced photo transects. Annually or biannually over a ten year period (2004-2015) data sets were collected using 30-50 transects, 500-800 m in length distributed across a 142 km**2 shallow, clear water seagrass habitat, the Eastern Banks, Moreton Bay, Australia. Each of the eight data sets include seagrass property information derived from approximately 3000 georeferenced, downward looking photographs captured at 2-4 m intervals along the transects. Photographs were manually interpreted to estimate seagrass species composition and percentage cover (Coral Point Count excel; CPCe). Understanding seagrass biology, ecology and dynamics for scientific and management purposes requires point-based data on species composition and cover. This data set, and the methods used to derive it are a globally unique example for seagrass ecological applications. It provides the basis for multiple further studies at this site, regional to global comparative studies, and, for the design of similar monitoring programs elsewhere.

Determinants of government consumption expenditure in developing countries : a panel data analysis

The paper focuses on the recent pattern of government consumption expenditure in developing countries and estimates the determinants which have influenced government expenditure. Using a panel data set for 111 developing countries from 1984 to 2004, this study finds evidence that political and institutional variables as well as governance variables significantly influence government expenditure. Among other results, the paper finds new evidence of Wagner's law which states that peoples' demand for service and willingness to pay is income-elastic hence the expansion of public economy is influenced by the greater economic affluence of a nation (Cameron1978). Corruption is found to be influential in explaining the public expenditure of developing countries. On the contrary, size of the economy and fractionalization are found to have significant negative association with government expenditure. In addition, the study finds evidence that public expenditure significantly shrinks under military dictatorship compared with other form of governance.

Parallel execution of Prolog programs: a survey

Since the early days of logic programming, researchers in the field realized the potential for exploitation of parallelism present in the execution of logic programs. Their high-level nature, the presence of nondeterminism, and their referential transparency, among other characteristics, make logic programs interesting candidates for obtaining speedups through parallel execution. At the same time, the fact that the typical applications of logic programming frequently involve irregular computations, make heavy use of dynamic data structures with logical variables, and involve search and speculation, makes the techniques used in the corresponding parallelizing compilers and run-time systems potentially interesting even outside the field. The objective of this article is to provide a comprehensive survey of the issues arising in parallel execution of logic programming languages along with the most relevant approaches explored to date in the field. Focus is mostly given to the challenges emerging from the parallel execution of Prolog programs. The article describes the major techniques used for shared memory implementation of Or-parallelism, And-parallelism, and combinations of the two. We also explore some related issues, such as memory management, compile-time analysis, and execution visualization.

Feature selection in the reconstruction of complex network representations of spectral data

Complex networks have been extensively used in the last decade to characterize and analyze complex systems, and they have been recently proposed as a novel instrument for the analysis of spectra extracted from biological samples. Yet, the high number of measurements composing spectra, and the consequent high computational cost, make a direct network analysis unfeasible. We here present a comparative analysis of three customary feature selection algorithms, including the binning of spectral data and the use of information theory metrics. Such algorithms are compared by assessing the score obtained in a classification task, where healthy subjects and people suffering from different types of cancers should be discriminated. Results indicate that a feature selection strategy based on Mutual Information outperforms the more classical data binning, while allowing a reduction of the dimensionality of the data set in two orders of magnitude

In situ surveillance of capacitive pressure transmitter dynamic poles

In this work, a methodology is proposed to find the dynamic poles of a capacitive pressure transmitter in order to enhance and extend the online surveillance of this type of sensor based on the response time measurement by applying noise analysis techniques and the dynamic data system procedure. Several measurements taken from a pressurized water reactor have been analyzed. The methodology proposes an autoregressive fit whose order is determined by the sensor dynamic poles. Nevertheless, the signals that have been analyzed could not be filtered properly in order to remove the plant noise; thus, this was considered as an additional pair of complex conjugate poles. With this methodology we have come up with the numerical value of the sensor second real pole in spite of its low influence on the sensor dynamic response. This opens up a more accurate online sensor surveillance since the previous methods were achieved by considering one real pole only.

Assessment of the influence of the elastic properties of rail vehicle suspensions on safety, ride quality and track fatigue

A sensitivity analysis has been performed to assess the influence of the elastic properties of railway vehicle suspensions on the vehicle dynamic behaviour. To do this, 144 dynamic simulations were performed modifying, one at a time, the stiffness and damping coefficients, of the primary and secondary suspensions. Three values were assigned to each parameter, corresponding to the percentiles 10, 50 and 90 of a data set stored in a database of railway vehicles.After processing the results of these simulations, the analyzed parameters were sorted by increasing influence. It was also found which of these parameters could be estimated with a lesser degree of accuracy in future simulations without appreciably affecting the simulation results. In general terms, it was concluded that the highest influences were found for the longitudinal stiffness and the lateral stiffness of the primary suspension, and the lowest influences for the vertical stiffness and the vertical damping of the primary suspension, with the parameters of the secondary suspension showing intermediate influences between them.

Inteligencia artificial para la predicción y control del acabado superficial en procesos de fresado a alta velocidad

El objetivo principal de esta tesis doctoral es profundizar en el análisis y diseño de un sistema inteligente para la predicción y control del acabado superficial en un proceso de fresado a alta velocidad, basado fundamentalmente en clasificadores Bayesianos, con el prop´osito de desarrollar una metodolog´ıa que facilite el diseño de este tipo de sistemas. El sistema, cuyo propósito es posibilitar la predicción y control de la rugosidad superficial, se compone de un modelo aprendido a partir de datos experimentales con redes Bayesianas, que ayudar´a a comprender los procesos dinámicos involucrados en el mecanizado y las interacciones entre las variables relevantes. Dado que las redes neuronales artificiales son modelos ampliamente utilizados en procesos de corte de materiales, también se incluye un modelo para fresado usándolas, donde se introdujo la geometría y la dureza del material como variables novedosas hasta ahora no estudiadas en este contexto. Por lo tanto, una importante contribución en esta tesis son estos dos modelos para la predicción de la rugosidad superficial, que se comparan con respecto a diferentes aspectos: la influencia de las nuevas variables, los indicadores de evaluación del desempeño, interpretabilidad. Uno de los principales problemas en la modelización con clasificadores Bayesianos es la comprensión de las enormes tablas de probabilidad a posteriori producidas. Introducimos un m´etodo de explicación que genera un conjunto de reglas obtenidas de árboles de decisión. Estos árboles son inducidos a partir de un conjunto de datos simulados generados de las probabilidades a posteriori de la variable clase, calculadas con la red Bayesiana aprendida a partir de un conjunto de datos de entrenamiento. Por último, contribuimos en el campo multiobjetivo en el caso de que algunos de los objetivos no se puedan cuantificar en números reales, sino como funciones en intervalo de valores. Esto ocurre a menudo en aplicaciones de aprendizaje automático, especialmente las basadas en clasificación supervisada. En concreto, se extienden las ideas de dominancia y frontera de Pareto a esta situación. Su aplicación a los estudios de predicción de la rugosidad superficial en el caso de maximizar al mismo tiempo la sensibilidad y la especificidad del clasificador inducido de la red Bayesiana, y no solo maximizar la tasa de clasificación correcta. Los intervalos de estos dos objetivos provienen de un m´etodo de estimación honesta de ambos objetivos, como e.g. validación cruzada en k rodajas o bootstrap.---ABSTRACT---The main objective of this PhD Thesis is to go more deeply into the analysis and design of an intelligent system for surface roughness prediction and control in the end-milling machining process, based fundamentally on Bayesian network classifiers, with the aim of developing a methodology that makes easier the design of this type of systems. The system, whose purpose is to make possible the surface roughness prediction and control, consists of a model learnt from experimental data with the aid of Bayesian networks, that will help to understand the dynamic processes involved in the machining and the interactions among the relevant variables. Since artificial neural networks are models widely used in material cutting proceses, we include also an end-milling model using them, where the geometry and hardness of the piecework are introduced as novel variables not studied so far within this context. Thus, an important contribution in this thesis is these two models for surface roughness prediction, that are then compared with respecto to different aspects: influence of the new variables, performance evaluation metrics, interpretability. One of the main problems with Bayesian classifier-based modelling is the understanding of the enormous posterior probabilitiy tables produced. We introduce an explanation method that generates a set of rules obtained from decision trees. Such trees are induced from a simulated data set generated from the posterior probabilities of the class variable, calculated with the Bayesian network learned from a training data set. Finally, we contribute in the multi-objective field in the case that some of the objectives cannot be quantified as real numbers but as interval-valued functions. This often occurs in machine learning applications, especially those based on supervised classification. Specifically, the dominance and Pareto front ideas are extended to this setting. Its application to the surface roughness prediction studies the case of maximizing simultaneously the sensitivity and specificity of the induced Bayesian network classifier, rather than only maximizing the correct classification rate. Intervals in these two objectives come from a honest estimation method of both objectives, like e.g. k-fold cross-validation or bootstrap.

Application of Independent Components Analysis with the JADE algorithm and NIR hyperspectral imaging for revealing food adulteration

In recent years, Independent Components Analysis (ICA) has proven itself to be a powerful signal-processing technique for solving the Blind-Source Separation (BSS) problems in different scientific domains. In the present work, an application of ICA for processing NIR hyperspectral images to detect traces of peanut in wheat flour is presented. Processing was performed without a priori knowledge of the chemical composition of the two food materials. The aim was to extract the source signals of the different chemical components from the initial data set and to use them in order to determine the distribution of peanut traces in the hyperspectral images. To determine the optimal number of independent component to be extracted, the Random ICA by blocks method was used. This method is based on the repeated calculation of several models using an increasing number of independent components after randomly segmenting the matrix data into two blocks and then calculating the correlations between the signals extracted from the two blocks. The extracted ICA signals were interpreted and their ability to classify peanut and wheat flour was studied. Finally, all the extracted ICs were used to construct a single synthetic signal that could be used directly with the hyperspectral images to enhance the contrast between the peanut and the wheat flours in a real multi-use industrial environment. Furthermore, feature extraction methods (connected components labelling algorithm followed by flood fill method to extract object contours) were applied in order to target the spatial location of the presence of peanut traces. A good visualization of the distributions of peanut traces was thus obtained

Aprendizaje integrado en arquitectura con modelos virtuales : implementación de metodología BIM en la docencia universitaria

Los procesos de diseño y construcción en Arquitectura han mostrado un desarrollo de optimización históricamente muy deficiente cuando se compara con las restantes actividades típicamente industriales. La aspiración constante a una industrialización efectiva, tanto en aras de alcanzar mayores cotas de calidad así como de ahorro de recursos, recibe hoy una oportunidad inmejorable desde el ámbito informático: el Building Information Modelling o BIM. Lo que en un inicio puede parecer meramente un determinado tipo de programa informático, en realidad supone un concepto de “proceso” que subvierte muchas rutinas hoy habituales en el desarrollo de proyectos y construcciones arquitectónicas. La inclusión y desarrollo de datos ligados al proyecto, desde su inicio hasta el fin de su ciclo de vida, conlleva la oportunidad de crear una realidad virtual dinámica y actualizable, que por añadidura posibilita su ensayo y optimización en todos sus aspectos: antes y durante su ejecución, así como vida útil. A ello se suma la oportunidad de transmitir eficientemente los datos completos de proyecto, sin apenas pérdidas o reelaboración, a la cadena de fabricación, lo que facilita el paso a una industrialización verdaderamente significativa en edificación. Ante una llamada mundial a la optimización de recursos y el interés indudable de aumentar beneficios económicos por medio de la reducción del factor de incertidumbre de los procesos, BIM supone un opción de mejora indudable, y así ha sido reconocido a través de la inminente implantación obligatoria por parte de los gobiernos (p. ej. Gran Bretaña en 2016 y España en 2018). La modificación de procesos y roles profesionales que conlleva la incorporación de BIM resulta muy significativa y marcará el ejercicio profesional de los futuros graduados en las disciplinas de Arquitectura, Ingeniería y Construcción (AEC por sus siglas en inglés). La universidad debe responder ágilmente a estas nuevas necesidades incorporando esta metodología en la enseñanza reglada y aportando una visión sinérgica que permita extraer los beneficios formativos subyacentes en el propio marco BIM. En este sentido BIM, al aglutinar el conjunto de datos sobre un único modelo virtual, ofrece un potencial singularmente interesante. La realidad tridimensional del modelo, desarrollada y actualizada continuamente, ofrece al estudiante una gestión radicalmente distinta de la representación gráfica, en la que las vistas parciales de secciones y plantas, tan complejas de asimilar en los inicios de la formación universitaria, resultan en una mera petición a posteriori, para ser extraída según necesidad del modelo virtual. El diseño se realiza siempre sobre el propio modelo único, independientemente de la vista de trabajo elegida en cada momento, permaneciendo los datos y sus relaciones constructivas siempre actualizados y plenamente coherentes. Esta descripción condensada de características de BIM preconfiguran gran parte de las beneficios formativos que ofrecen los procesos BIM, en especial, en referencia al desarrollo del diseño integrado y la gestión de la información (incluyendo TIC). Destacan a su vez las facilidades en comprensión visual de elementos arquitectónicos, sistemas técnicos, sus relaciones intrínsecas así como procesos constructivos. A ello se une el desarrollo experimental que la plataforma BIM ofrece a través de sus software colaborativos: la simulación del comportamiento estructural, energético, económico, entre otros muchos, del modelo virtual en base a los datos inherentes del proyecto. En la presente tesis se describe un estudio de conjunto para explicitar tanto las cualidades como posibles reservas en el uso de procesos BIM, en el marco de una disciplina concreta: la docencia de la Arquitectura. Para ello se ha realizado una revisión bibliográfica general sobre BIM y específica sobre docencia en Arquitectura, así como analizado las experiencias de distintos grupos de interés en el marco concreto de la enseñanza de la en Arquitectura en la Universidad Europea de Madrid. El análisis de beneficios o reservas respecto al uso de BIM se ha enfocado a través de la encuesta a estudiantes y la entrevista a profesionales AEC relacionados o no con BIM. Las conclusiones del estudio permiten sintetizar una implantación de metodología BIM que para mayor claridad y facilidad de comunicación y manejo, se ha volcado en un Marco de Implantación eminentemente gráfico. En él se orienta sobre las acciones docentes para el desarrollo de competencias concretas, valiéndose de la flexibilidad conceptual de los Planes de Estudio en el contexto del Espacio Europeo de Educación Superior (Declaración de Bolonia) para incorporar con naturalidad la nueva herramienta docente al servicio de los objetivos formativo legalmente establecidos. El enfoque global del Marco de Implementación propuesto facilita la planificación de acciones formativas con perspectiva de conjunto: combinar los formatos puntuales o vehiculares BIM, establecer sinergias transversales y armonizar recursos, de modo que la metodología pueda beneficiar tanto la asimilación de conocimientos y habilidades establecidas para el título, como el propio flujo de aprendizaje o learn flow BIM. Del mismo modo reserva, incluso visualmente, aquellas áreas de conocimiento en las que, al menos en la planificación actual, la inclusión de procesos BIM no se considera ventajosa respecto a otras metodologías, o incluso inadecuadas para los objetivos docentes establecidos. Y es esta última categorización la que caracteriza el conjunto de conclusiones de esta investigación, centrada en: 1. la incuestionable necesidad de formar en conceptos y procesos BIM desde etapas muy iniciales de la formación universitaria en Arquitectura, 2. los beneficios formativos adicionales que aporta BIM en el desarrollo de competencias muy diversas contempladas en el currículum académico y 3. la especificidad del rol profesional del arquitecto que exigirá una implantación cuidadosa y ponderada de BIM que respete las metodologías de desarrollo creativo tradicionalmente efectivas, y aporte valor en una reorientación simbiótica con el diseño paramétrico y fabricación digital que permita un diseño finalmente generativo. ABSTRACT The traditional architectural design and construction procedures have proven to be deficient where process optimization is concerned, particularly when compared to other common industrial activities. The ever‐growing strife to achieve effective industrialization, both in favor of reaching greater quality levels as well as sustainable management of resources, has a better chance today than ever through a mean out of the realm of information technology, the Building Information Modelling o BIM. What may initially seem to be merely another computer program, in reality turns out to be a “process” concept that subverts many of today’s routines in architectural design and construction. Including and working with project data from the very beginning to the end of its full life cycle allows for creating a dynamic and updatable virtual reality, enabling data testing and optimizing throughout: before and during execution, all the way to the end of its lifespan. In addition, there is an opportunity to transmit complete project data efficiently, with hardly any loss or redeveloping of the manufacture chain required, which facilitates attaining a truly significant industrialization within the construction industry. In the presence of a world‐wide call for optimizing resources, along with an undeniable interest in increasing economic benefits through reducing uncertainty factors in its processes, BIM undoubtedly offers a chance for improvement as acknowledged by its imminent and mandatory implementation on the part of governments (for example United Kingdom in 2016 and Spain in 2018). The changes involved in professional roles and procedures upon incorporating BIM are highly significant and will set the course for future graduates of Architecture, Engineering and Construction disciplines (AEC) within their professions. Higher Education must respond to such needs with swiftness by incorporating this methodology into their educational standards and providing a synergetic vision that focuses on the underlying educational benefits inherent in the BIM framework. In this respect, BIM, in gathering data set under one single virtual model, offers a uniquely interesting potential. The three‐dimensional reality of the model, under continuous development and updating, provides students with a radically different graphic environment, in which partial views of elevation, section or plan that tend characteristically to be difficult to assimilate at the beginning of their studies, become mere post hoc requests to be ordered when needed directly out the virtual model. The design is always carried out on the sole model itself, independently of the working view chosen at any particular moment, with all data and data relations within construction permanently updated and fully coherent. This condensed description of the features of BIM begin to shape an important part of the educational benefits posed by BIM processes, particularly in reference to integrated design development and information management (including ITC). At the same time, it highlights the ease with which visual understanding is achieved regarding architectural elements, technology systems, their intrinsic relationships, and construction processes. In addition to this, there is the experimental development the BIM platform grants through its collaborative software: simulation of structural, energetic, and economic behavior, among others, of the virtual model according to the data inherent to the project. This doctoral dissertation presents a broad study including a wide array of research methods and issues in order to specify both the virtues and possible reservations in the use of BIM processes within the framework of a specific discipline: teaching Architecture. To do so, a literature review on BIM has been carried out, specifically concerning teaching in the discipline of Architecture, as well as an analysis of the experience of different groups of interest delimited to Universidad Europea de Madrid. The analysis of the benefits and/or limitations of using BIM has been approached through student surveys and interviews with professionals from the AEC sector, associated or not, with BIM. Various diverse educational experiences are described and academic management for experimental implementation has been analyzed. The conclusions of this study offer a synthesis for a Framework of Implementation of BIM methodology, which in order to reach greater clarity, communication ease and user‐friendliness, have been posed in an eminently graphic manner. The proposed framework proffers guidance on teaching methods conducive to the development of specific skills, taking advantage of the conceptual flexibility of the European Higher Education Area guidelines based on competencies, which naturally facilitate for the incorporation of this new teaching tool to achieve the educational objectives established by law. The global approach of the Implementation Framework put forth in this study facilitates the planning of educational actions within a common perspective: combining exceptional or vehicular BIM formats, establishing cross‐disciplinary synergies, and sharing resources, so as to purport a methodology that contributes to the assimilation of knowledge and pre‐defined competencies within the degree program, and to the flow of learning itself. At the same time, it reserves, even visually, those areas of knowledge in which the use of BIM processes is not considered necessarily an advantage over other methodologies, or even inadequate for the learning outcomes established, at least where current planning is concerned. It is this last category which characterizes the research conclusions as a whole, centering on: 1. The unquestionable need for teaching BIM concepts and processes in Architecture very early on, in the initial stages of higher education; 2. The additional educational benefits that BIM offers in a varied array of competency development within the academic curriculum; and 3. The specific nature of the professional role of the Architect, which demands a careful and balanced implementation of BIM that respects the traditional teaching methodologies that have proven effective and creative, and adds value by a symbiotic reorientation merged with parametric design and digital manufacturing so to enable for a finally generative design.

Integrated fossil and molecular data reconstruct bat echolocation

Molecular and morphological data have important roles in illuminating evolutionary history. DNA data often yield well resolved phylogenies for living taxa, but are generally unattainable for fossils. A distinct advantage of morphology is that some types of morphological data may be collected for extinct and extant taxa. Fossils provide a unique window on evolutionary history and may preserve combinations of primitive and derived characters that are not found in extant taxa. Given their unique character complexes, fossils are critical in documenting sequences of character transformation over geologic time and may elucidate otherwise ambiguous patterns of evolution that are not revealed by molecular data alone. Here, we employ a methodological approach that allows for the integration of molecular and paleontological data in deciphering one of the most innovative features in the evolutionary history of mammals—laryngeal echolocation in bats. Molecular data alone, including an expanded data set that includes new sequences for the A2AB gene, suggest that microbats are paraphyletic but do not resolve whether laryngeal echolocation evolved independently in different microbat lineages or evolved in the common ancestor of bats and was subsequently lost in megabats. When scaffolds from molecular phylogenies are incorporated into parsimony analyses of morphological characters, including morphological characters for the Eocene taxa Icaronycteris, Archaeonycteris, Hassianycteris, and Palaeochiropteryx, the resulting trees suggest that laryngeal echolocation evolved in the common ancestor of fossil and extant bats and was subsequently lost in megabats. Molecular dating suggests that crown-group bats last shared a common ancestor 52 to 54 million years ago.

Recursive partitioning for tumor classification with gene expression microarray data

Precise classification of tumors is critically important for cancer diagnosis and treatment. It is also a scientifically challenging task. Recently, efforts have been made to use gene expression profiles to improve the precision of classification, with limited success. Using a published data set for purposes of comparison, we introduce a methodology based on classification trees and demonstrate that it is significantly more accurate for discriminating among distinct colon cancer tissues than other statistical approaches used heretofore. In addition, competing classification trees are displayed, which suggest that different genes may coregulate colon cancers.