Caracterización y análisis comparativo del comportamiento medioambiental de los materiales de aislamiento térmico utilizados en la envolvente del edificio, en función del sistema constructivo y de la situación geográfica

La construcción es uno de los causantes de mayor impacto ambiental y energético en el entorno. Por ello, los profesionales del sector deben empezar a cambiar la manera en la que diseñan la arquitectura, incorporando técnicas y parámetros sostenibles desde las primeras etapas del diseño, controlando la elección de los materiales y las soluciones constructivas. A través de las Declaraciones Ambientales de Producto (DAP) es posible conocer el perfil ambiental de los productos de la construcción, sin embargo, la mayoría de estos documentos solo poseen información de la etapa de producto (A1-A3) y de la etapa de fin de vida, contemplando solo un tipo de tratamiento (vertedero o incineración). Lo que propone esta investigación es generar información medioambiental del resto de las etapas del ciclo de vida relacionado con el producto, haciendo especial hincapié en la etapa de transporte (A4), puesta en obra (A5), transporte de obra a planta de tratamiento (C2) y etapa de fin de vida con vertedero e incineración. Para la realización de la investigación se ha generado un Inventario de Ciclo de Vida (ICV) con valores medios facilitados por las empresas. El ámbito de actuación es la península ibérica, considerándose un transporte en camión. La evaluación ambiental se ha realizado con la herramienta informática SimaPro (versión 7.3.3). Para los procesos que no han podido ser modelizados por falta de información, se ha recurrido a la base de datos Ecoinvent (versión 2.0). Las categorías de impacto analizadas son las contempladas en la UNE-EN ISO 15804+A1. Con esta investigación se propone una catalogación medioambiental del material de aislamiento térmico según los impactos asociados al transporte, puesta en obra y fin de vida del producto para que el prescriptor pueda escoger qué material es el más adecuado a incorporar en el proyecto, desde el punto de vista medioambiental. ABSTRACT _ Construction is one of the main causes of environmental and energy impacts in the environment. Therefore, the professionals of the sector should begin changing the way they design architecture, incorporating sustainable techniques and parameters from the first design stages, controlling the choice of materials and building solutions. It is possible to know the environmental profile of construction products through Environmental Product Declarations (EPD). However, most of these documents only provide information for the product stage (A1-A3) and the end-of-life stage, taking into account only one type of treatment (landfill or incineration). This research proposes the generation of environmental information for the rest of the life cycle stages related to the product, with particular emphasis on the transportstage (A4), construction installation (A5), transport from the construction site to the recycling facilities (C2) and end-of-life stage with landfill and incineration. A Life Cycle Inventory (LCI) has been generated for the development of the research, with mean values provided by the firms. The scope of action is the Iberian Peninsula, considering transport by lorry. The environmental assessment has been carried out with the SimaPro software (version 7.3.3). The Ecoinvent database (version 2.0) has been used for the processes that couldn’t be modelled due to lack of information. The impact categories analysed are those considered in standard UNE-EN ISO 15804+A1. This research proposes an environmental cataloguing of the thermal insulation material depending on the impacts associated with transport, construction installation and end-of-life of the product so that the prescriber might choose which material is the most suitable to implement in the project from an environmental point of view.

Scaling the universe: Gravitational lenses and the Hubble constant

Gravitational lenses, besides being interesting in their own right, have been demonstrated to be suitable as “gravitational standard rulers” for the measurement of the rate of expansion of the Universe (Ho), as well as to constrain the values of the cosmological parameters such as Ωo and Λo that control the evolution of the volume of the Universe with cosmic time.

Training and search methods for speech recognition.

Speech recognition involves three processes: extraction of acoustic indices from the speech signal, estimation of the probability that the observed index string was caused by a hypothesized utterance segment, and determination of the recognized utterance via a search among hypothesized alternatives. This paper is not concerned with the first process. Estimation of the probability of an index string involves a model of index production by any given utterance segment (e.g., a word). Hidden Markov models (HMMs) are used for this purpose [Makhoul, J. & Schwartz, R. (1995) Proc. Natl. Acad. Sci. USA 92, 9956-9963]. Their parameters are state transition probabilities and output probability distributions associated with the transitions. The Baum algorithm that obtains the values of these parameters from speech data via their successive reestimation will be described in this paper. The recognizer wishes to find the most probable utterance that could have caused the observed acoustic index string. That probability is the product of two factors: the probability that the utterance will produce the string and the probability that the speaker will wish to produce the utterance (the language model probability). Even if the vocabulary size is moderate, it is impossible to search for the utterance exhaustively. One practical algorithm is described [Viterbi, A. J. (1967) IEEE Trans. Inf. Theory IT-13, 260-267] that, given the index string, has a high likelihood of finding the most probable utterance.

Análise de flavanóides por cromatografia líquida de alta eficiência e eletroforese capilar - otimização de separação e aplicações tecnológicas

No presente trabalho foram estudadas as separações de 18 flavonóides (9 agliconas e 9 glicosídeos) pelas técnicas de Cromatografia Líquida de Alta Eficiência em fase reversa (RP-HPLC) e Cromatografia Micelar Eletrocinética em fluxo reverso (RF-Meck). Em ambas as técnicas foram avaliados solventes puros (metanol, acetonitrila e tetrahidrofurano) e suas misturas como formas de promover a variação de seletividade, através da modificação da fase móvel em HPLC, e da natureza do aditivo orgânico em RF-Meck. Nos estudos efetuados em HPLC utilizando-se gradiente, pode-se comprovar a possibilidade da modelagem do fator de retenção em funçã da proporção de solvente utilizados (MeOH, ACN, THF e suas misturas). Pode-se ainda, com base nos dados de retenção e na análise hierárquica de c1usters, diferenciar quatro diferentes grupos de sistemas cromatográficos com diferentes seletividades para flavonóides agliconas, e outros quatro com diferentes seletividades para glicosídeos. Os sistemas cromatográficos mais ortogonais (cada um pertencente a um grupo de seletividade) foram aplicados na separação de uma planta modelo (Azadirachta indica), de onde pode-se escolher a fase móvel mais seletiva para se otimizar a separação dos flavonóides glicosilados presentes nas folhas desta planta. No método final otimizado pode-se identificar e quantificar cinco dos flavonóides majoritários presentes, sendo três glicosídeos de quercetina (rutina, isoquercitrina e quercitrina) e dois glicosídeos de kaempferol (astragalin e nicotiflorin), em amostras de duas diferentes procedências (Piracicaba-SP e Silvânia-GO). Nos estudos envolvendo a separação dos dezoito flavonóides por RFMEKC pode-se comprovar diferenças significativas de seletividade quando se varia a natureza do solvente orgânico utilizado como aditivo, além de se observar tendências na migração em função das propriedades do solvente adicionado e da estrutura molecular do flavonóide. O solvente de menor eficiência para separação dos flavonóides foi o MeOH. Através da análise dos eletroferogramas obtidos através de um planejamento experimental de misturas, e das trocas de pares críticos observadas nos vários eletrólitos utilizados, obteve-se um método de separação com apenas um par crítico em menos de 12 minutos de corrida. O coeficiente de variação obtido para o fator de retenção foi de 1,5% e para área de 3%, considerando-se cinco injeções. O método desenvolvido foi aplicado com sucesso na identificação dos flavonóides majoritários presentes na planta modelo (Neem), obtendo-se o mesmo resultado do estudo anterior. Como forma de avaliar a concentração de flavonóides totais presentes em espécies vegetais é comum a análise de extratos após hidrólise ácida (conversão de todos glicosídeos em agliconas). Desta forma otimizou-se uma metodologia de separação em RP-HPLC de 8 flavonóides agliconas comumente presentes em alimentos e extratos vegetais de uso cosmético. A otimização foi efetuada mediante um planejamento experimental de misturas, para escolha da fase móvel mais seletiva, e de um planejamento fatorial composto central, para otimização das condições de gradiente. O método obtido foi o mais rápido já visto dentro da literatura consultada. A separação em linha de base foi efetuada em menos de 15 minutos, com coeficientes de variação de área entre 0,1 e 1,8%, coeficiente de correlação de 0,9993 a 0,9994 na faixa de 5 a 100 µg/mL, e limites de quantificação estimados na faixa de 0,1 a 0,21µg/mL. O método desenvolvido foi aplicado na otimização das condições de hidrólise de um extrato de Neem. A otimização foi efetuada através de metodologia de superfície de resposta, levando-se em consideração a concentração de ácido adicionada, o tempo de reação, a temperatura, e a concentração de um antioxidante (ácido ascórbico) adicionado. O resultado da otimização foi uma metodologia de hidrólise com tempo de reação igual a 5 minutos, utilizando-se 1,4 mol/L de HCI, 119°C e 500 µg/mL de ácido ascórbico. Através das metodologias de análise e de hidrólise desenvolvidas pode-se constatar a presença e quantificar no extrato de Neem os flavonóides agliconas quercetina, kaempferol e miricetina. Com o objetivo de se avaliar quais os componentes presentes em extratos vegetais são os responsáveis pelo poder antioxidante atribuído a determinadas plantas, foi montado um sistema de avaliação de poder antioxidante \"on-line\" com reação pós-coluna em HPLC (baseado na literatura) utilizando-se como \"radical livre modelo\" o ABTS. A análise da planta modelo (Neem) neste sistema mostrou que os flavonóides glicosilados identificados nas partes anteriores deste trabalho são os responsáveis pelo poder antioxidante atribuído a esta planta. De posse desta informação, e visando a obtenção de extratos para aplicações cosméticas com poder antioxidante, modelou-se a extração dos flavonóide do Neem em função da composição do solvente extrator (água, etanol , propilenoglicol e suas misturas), de acordo com um planejamento simplex centróide ampliado. Além da previsão da concentração dos princípios ativos pode-se ainda prever outras propriedades dos extratos obtidos, tais como, índice de refração e densidade, muitas vezes constituintes de especificações técnicas de acordo com as aplicações a que se destinam (cremes, xampús, etc).

The Gaia-ESO Survey: processing FLAMES-UVES spectra

The Gaia-ESO Survey is a large public spectroscopic survey that aims to derive radial velocities and fundamental parameters of about 105 Milky Way stars in the field and in clusters. Observations are carried out with the multi-object optical spectrograph FLAMES, using simultaneously the medium-resolution (R ~ 20 000) GIRAFFE spectrograph and the high-resolution (R ~ 47 000) UVES spectrograph. In this paper we describe the methods and the software used for the data reduction, the derivation of the radial velocities, and the quality control of the FLAMES-UVES spectra. Data reduction has been performed using a workflow specifically developed for this project. This workflow runs the ESO public pipeline optimizing the data reduction for the Gaia-ESO Survey, automatically performs sky subtraction, barycentric correction and normalisation, and calculates radial velocities and a first guess of the rotational velocities. The quality control is performed using the output parameters from the ESO pipeline, by a visual inspection of the spectra and by the analysis of the signal-to-noise ratio of the spectra. Using the observations of the first 18 months, specifically targets observed multiple times at different epochs, stars observed with both GIRAFFE and UVES, and observations of radial velocity standards, we estimated the precision and the accuracy of the radial velocities. The statistical error on the radial velocities is σ ~ 0.4 km s-1 and is mainly due to uncertainties in the zero point of the wavelength calibration. However, we found a systematic bias with respect to the GIRAFFE spectra (~0.9 km s-1) and to the radial velocities of the standard stars (~0.5 km s-1) retrieved from the literature. This bias will be corrected in the future data releases, when a common zero point for all the set-ups and instruments used for the survey is be established.

Modelling of the surface emission of the low magnetic field magnetar SGR 0418+5729

We perform a detailed modelling of the post-outburst surface emission of the low magnetic field magnetar SGR 0418+5729. The dipolar magnetic field of this source, B=6×1012G estimated from its spin-down rate, is in the observed range of magnetic fields for normal pulsars. The source is further characterized by a high pulse fraction and a single-peak profile. Using synthetic temperature distribution profiles, and fully accounting for the general-relativistic effects of light deflection and gravitational redshift, we generate synthetic X-ray spectra and pulse profiles that we fit to the observations. We find that asymmetric and symmetric surface temperature distributions can reproduce equally well the observed pulse profiles and spectra of SGR 0418. None the less, the modelling allows us to place constraints on the system geometry (i.e. the angles ψ and ξ that the rotation axis makes with the line of sight and the dipolar axis, respectively), as well as on the spot size and temperature contrast on the neutron star surface. After performing an analysis iterating between the pulse profile and spectra, as done in similar previous works, we further employed, for the first time in this context, a Markov-Chain Monte Carlo approach to extract constraints on the model parameters from the pulse profiles and spectra, simultaneously. We find that, to reproduce the observed spectrum and flux modulation: (a) the angles must be restricted to 65° ≲ ψ + ξ ≲ 125° or 235° ≲ ψ + ξ ≲ 295°; (b) the temperature contrast between the poles and the equator must be at least a factor of ∼6, and (c) the size of the hottest region ranges between 0.2 and 0.7 km (including uncertainties on the source distance). Lastly, we interpret our findings within the context of internal and external heating models.

Liquid–Liquid Equilibria of Water + Ethanol + 1-Butyl-3-methylimidazolium Bis(trifluoromethanesulfonyl)imide Ternary System: Measurements and Correlation at Different Temperatures

In this work authors present the experimental liquid–liquid equilibria (LLE) data of water + ethanol + 1-butyl-3-methylimidazolium bis(trifluoromethanesulfonyl)imide ([bmim][Tf2N]) system at different temperatures. The LLE of the system was obtained in the temperature range from 283.2 to 323.2 K. The nonrandom two liquid (NRTL) and universal quasichemical (UNIQUAC) models were used to correlate ternary systems. The equilibrium compositions were successfully correlated by the interaction parameters from both models, however UNIQUAC gave a more accurate correlation. Finally, a study about the solvent capability of ionic liquid was made in order to evaluate the possibility of separating the mixture formed by ethanol and water using that ionic liquid.

Dynamic, convex, and robust optimization with Bayesian learning for response-guided dosing

Thesis (Ph.D.)--University of Washington, 2016-08

Changes in body water distribution during treatment with inhaled steroid in pre-school children

Primary objective: The study aimed to examine the changes in water distribution in the soft tissue during systemic steroid activity. Research design: A three-way cross-over, randomized, placebo-controlled, double-blind trial was used, including 4 weeks of fluticasone propionate pMDI 200 mug b.i.d. delivered via Babyhaler(R), budesonide pressurized metered dose inhaler (pMDI) 200 mug b.i.d. delivered via Nebuchamber(R) and placebo. Spacers were primed before use. In total, 40 children aged 1-3 years, with mild intermittent asthma were included. Twenty-five of the children completed all three treatments. At the end of each treatment period body impedance and skin ultrasonography were measured. Methods and procedures: We measured changes in water content of the soft tissues by two methods. Skin ultrasonography was used to detect small changes in dermal water content, and bioelectrical impedance was used to assess body water content and distribution. Main outcomes and results: We found an increase in skin density of the shin from fluticasone as measured by ultrasonography (p = 0.01). There was a tendency for a consistent elevation of impedance parameters from active treatments compared to placebo although overall this effect was not statistically significant (0.1< p <0.2). However, sub-analyses indicated a significant effect on whole-body and leg impedance from budesonide treatment (p <0.05). Conclusion: Decreased growth during inhaled steroid treatment seems to partly reflect generalized changes in body water.

Prediction of the growth of wear-type rail corrugation

The growth behaviour of the vibrational wear phenomenon known as rail corrugation is investigated analytically and numerically using mathematical models. A simplified feedback model for wear-type rail corrugation that includes a wheel pass time delay is developed with an aim to analytically distil the most critical interaction occurring between the wheel/rail structural dynamics, rolling contact mechanics and rail wear. To this end, a stability analysis on the complete system is performed to determine the growth of wear-type rail corrugations over multiple wheelset passages. This analysis indicates that although the dynamical behaviour of the system is stable for each wheel passage, over multiple wheelset passages, the growth of wear-type corrugations is shown to be the result of instability due to feedback interaction between the three primary components of the model. The corrugations are shown analytically to grow for all realistic railway parameters. From this analysis an analytical expression for the exponential growth rate of corrugations in terms of known parameters is developed. This convenient expression is used to perform a sensitivity analysis to identify critical parameters that most affect corrugation growth. The analytical predictions are shown to compare well with results from a benchmarked time-domain finite element model. (C) 2004 Elsevier B.V. All rights reserved.

Efficient -tensor determination and NH assignment of paramagnetic proteins

Anisotropic magnetic susceptibility tensors chi of paramagnetic metal ions are manifested in pseudocontact shifts, residual dipolar couplings, and other paramagnetic observables that present valuable long-range information for structure determinations of protein-ligand complexes. A program was developed for automatic determination of the chi-tensor anisotropy parameters and amide resonance assignments in proteins labeled with paramagnetic metal ions. The program requires knowledge of the three-dimensional structure of the protein, the backbone resonance assignments of the diamagnetic protein, and a pair of 2D N-15-HSQC or 3D HNCO spectra recorded with and without paramagnetic metal ion. It allows the determination of reliable chi-tensor anisotropy parameters from 2D spectra of uniformly N-15-labeled proteins of fairly high molecular weight. Examples are shown for the 185-residue N-terminal domain of the subunit epsilon from E. coli DNA polymerase III in complex with the subunit theta and La3+ in its diamagnetic and Dy3+, Tb3+, and Er3+ in its paramagnetic form.

Infrared microspectroscopic mapping of the homogeneity of extruded blends: Application to starch/polyester blends

Blends of starch and a biodegradable polyester, produced by an extrusion process, which included a cross-linker/compatibilizer (maleic anhydride) and an initiator (dicumyl peroxide), were studied by infrared (IR) microspectroscopy using an attenuated total reflectance (ATR) objective. Extruded material, which had a diameter of about 3 mm, was sectioned and embedded in epoxy resin prior to IR analysis. Spectra were collected in a grid pattern across the sectioned face of the sample. Measurement of various band parameters from the spectra allowed IR maps to be constructed containing semi-quantitative information about the distribution of blend components. These maps showed the quality of the blend on a microscopic scale and showed how it varied with different concentrations of compatibilizer and initiator. (c) 2005 Elsevier Ltd. All rights reserved.

Cost models for engineering services

This thesis describes the procedure and results from four years research undertaken through the IHD (Interdisciplinary Higher Degrees) Scheme at Aston University in Birmingham, sponsored by the SERC (Science and Engineering Research Council) and Monk Dunstone Associates, Chartered Quantity Surveyors. A stochastic networking technique VERT (Venture Evaluation and Review Technique) was used to model the pre-tender costs of public health, heating ventilating, air-conditioning, fire protection, lifts and electrical installations within office developments. The model enabled the quantity surveyor to analyse, manipulate and explore complex scenarios which previously had defied ready mathematical analysis. The process involved the examination of historical material costs, labour factors and design performance data. Components and installation types were defined and formatted. Data was updated and adjusted using mechanical and electrical pre-tender cost indices and location, selection of contractor, contract sum, height and site condition factors. Ranges of cost, time and performance data were represented by probability density functions and defined by constant, uniform, normal and beta distributions. These variables and a network of the interrelationships between services components provided the framework for analysis. The VERT program, in this particular study, relied upon Monte Carlo simulation to model the uncertainties associated with pre-tender estimates of all possible installations. The computer generated output in the form of relative and cumulative frequency distributions of current element and total services costs, critical path analyses and details of statistical parameters. From this data alternative design solutions were compared, the degree of risk associated with estimates was determined, heuristics were tested and redeveloped, and cost significant items were isolated for closer examination. The resultant models successfully combined cost, time and performance factors and provided the quantity surveyor with an appreciation of the cost ranges associated with the various engineering services design options.

Pryolytic and kinetic study of Chlorella Vulgaris under isothermal and non-isothermal conditions

Algae are a new potential biomass for energy production but there is limited information on their pyrolysis and kinetics. The main aim of this thesis is to investigate the pyrolytic behaviour and kinetics of Chlorella vulgaris, a green microalga. Under pyrolysis conditions, these microalgae show their comparable capabilities to terrestrial biomass for energy and chemicals production. Also, the evidence from a preliminary pyrolysis by the intermediate pilot-scale reactor supports the applicability of these microalgae in the existing pyrolysis reactor. Thermal decomposition of Chlorella vulgaris occurs in a wide range of temperature (200-550°C) with multi-step reactions. To evaluate the kinetic parameters of their pyrolysis process, two approaches which are isothermal and non-isothermal experiments are applied in this work. New developed Pyrolysis-Mass Spectrometry (Py-MS) technique has the potential for isothermal measurements with a short run time and small sample size requirement. The equipment and procedure are assessed by the kinetic evaluation of thermal decomposition of polyethylene and lignocellulosic derived materials (cellulose, hemicellulose, and lignin). In the case of non-isothermal experiment, Thermogravimetry- Mass Spectrometry (TG-MS) technique is used in this work. Evolved gas analysis provides the information on the evolution of volatiles and these data lead to a multi-component model. Triplet kinetic values (apparent activation energy, pre-exponential factor, and apparent reaction order) from isothermal experiment are 57 (kJ/mol), 5.32 (logA, min-1), 1.21-1.45; 9 (kJ/mol), 1.75 (logA, min-1), 1.45 and 40 (kJ/mol), 3.88 (logA, min-1), 1.45- 1.15 for low, middle and high temperature region, respectively. The kinetic parameters from non-isothermal experiment are varied depending on the different fractions in algal biomass when the range of apparent activation energies are 73-207 (kJ/mol); pre-exponential factor are 5-16 (logA, min-1); and apparent reaction orders are 1.32–2.00. The kinetic procedures reported in this thesis are able to be applied to other kinds of biomass and algae for future works.

Modeling high-speed network traffic with truncated α-stable processes

It has been reported that high-speed communication network traffic exhibits both long-range dependence (LRD) and burstiness, which posed new challenges in network engineering. While many models have been studied in capturing the traffic LRD, they are not capable of capturing efficiently the traffic impulsiveness. It is desirable to develop a model that can capture both LRD and burstiness. In this letter, we propose a truncated a-stable LRD process model for this purpose, which can characterize both LRD and burstiness accurately. A procedure is developed further to estimate the model parameters from real traffic. Simulations demonstrate that our proposed model has a higher accuracy compared to existing models and is flexible in capturing the characteristics of high-speed network traffic. © 2012 Springer-Verlag GmbH.