Corrected kriging update formulae for batch-sequential data assimilation

Recently, a lot of effort has been spent in the efficient computation of kriging predictors when observations are assimilated sequentially. In particular, kriging update formulae enabling significant computational savings were derived. Taking advantage of the previous kriging mean and variance computations helps avoiding a costly matrix inversion when adding one observation to the TeX already available ones. In addition to traditional update formulae taking into account a single new observation, Emery (2009) proposed formulae for the batch-sequential case, i.e. when TeX new observations are simultaneously assimilated. However, the kriging variance and covariance formulae given in Emery (2009) for the batch-sequential case are not correct. In this paper, we fix this issue and establish correct expressions for updated kriging variances and covariances when assimilating observations in parallel. An application in sequential conditional simulation finally shows that coupling update and residual substitution approaches may enable significant speed-ups.

Evaluation of control and surveillance strategies for classical swine fever using a simulation model

Classical swine fever (CSF) outbreaks can cause enormous losses in naïve pig populations. How to best minimize the economic damage and number of culled animals caused by CSF is therefore an important research area. The baseline CSF control strategy in the European Union and Switzerland consists of culling all animals in infected herds, movement restrictions for animals, material and people within a given distance to the infected herd and epidemiological tracing of transmission contacts. Additional disease control measures such as pre-emptive culling or vaccination have been recommended based on the results from several simulation models; however, these models were parameterized for areas with high animal densities. The objective of this study was to explore whether pre-emptive culling and emergency vaccination should also be recommended in low- to moderate-density areas such as Switzerland. Additionally, we studied the influence of initial outbreak conditions on outbreak severity to improve the efficiency of disease prevention and surveillance. A spatial, stochastic, individual-animal-based simulation model using all registered Swiss pig premises in 2009 (n=9770) was implemented to quantify these relationships. The model simulates within-herd and between-herd transmission (direct and indirect contacts and local area spread). By varying the four parameters (a) control measures, (b) index herd type (breeding, fattening, weaning or mixed herd), (c) detection delay for secondary cases during an outbreak and (d) contact tracing probability, 112 distinct scenarios were simulated. To assess the impact of scenarios on outbreak severity, daily transmission rates were compared between scenarios. Compared with the baseline strategy (stamping out and movement restrictions) vaccination and pre-emptive culling neither reduced outbreak size nor duration. Outbreaks starting in a herd with weaning piglets or fattening pigs caused higher losses regarding to the number of culled premises and were longer lasting than those starting in the two other index herd types. Similarly, larger transmission rates were estimated for these index herd type outbreaks. A longer detection delay resulted in more culled premises and longer duration and better transmission tracing increased the number of short outbreaks. Based on the simulation results, baseline control strategies seem sufficient to control CSF in low-medium animal-dense areas. Early detection of outbreaks is crucial and risk-based surveillance should be focused on weaning piglet and fattening pig premises.

Making minimally invasive THR safe: conclusions from biomechanical simulation and analysis.

The use of smaller surgical incisions has become popularized for total hip arthroplasty (THR) because of the potential benefits of shorter recovery and improved cosmetic appearance. However, an increased incidence of serious complications has been reported. To minimize the risks of minimally invasive approaches to THR, we have developed an experimental approach which enables us to evaluate risk factors in these procedures through cadaveric simulations performed within the laboratory. During cadaveric hip replacement procedures performed via posterior and antero-lateral mini-incisions, pressures developed between the wound edges and the retractors were approximately double those recorded during conventional hip replacement using Charnley retractors (p < 0.01). In MIS procedures performed via the dual-incision approach, lack of direct visualisation of the proximal femur led to misalignment of broaches and implants with increased risk of cortical fracture during canal preparation and implant insertion. Cadaveric simulation of surgical procedures allows surgeons to measure variables affecting the technical success of surgery and to master new procedures without placing patients at risk.

Regional Radiation Pneumonitis After SIRT of a Subcapsular Liver Metastasis: What is the Effect of Direct Beta Irradiation?

We herein present a patient undergoing selective internal radiation therapy with an almost normal lung shunt fraction of 11.5 %, developing histologically proven radiation pneumonitis. Due to a predominance of pulmonary consolidations in the right lower lung and its proximity to a large liver metastases located in the dome of the right liver lobe a Monte Carlo simulation was performed to estimate the effect of direct irradiation of the lung parenchyma. According to our calculations direct irradiation seems negligible and RP is almost exclusively due to ectopic draining of radioactive spheres.

Conceptual design and simulation of a water Cherenkov muon veto for the XENON1T experiment

XENON is a dark matter direct detection project, consisting of a time projection chamber (TPC) filled with liquid xenon as detection medium. The construction of the next generation detector, XENON1T, is presently taking place at the Laboratori Nazionali del Gran Sasso (LNGS) in Italy. It aims at a sensitivity to spin-independent cross sections of 2 10-47 c 2 for WIMP masses around 50 GeV2, which requires a background reduction by two orders of magnitude compared to XENON100, the current generation detector. An active system that is able to tag muons and muon-induced backgrounds is critical for this goal. A water Cherenkov detector of ~ 10 m height and diameter has been therefore developed, equipped with 8 inch photomultipliers and cladded by a reflective foil. We present the design and optimization study for this detector, which has been carried out with a series of Monte Carlo simulations. The muon veto will reach very high detection efficiencies for muons (>99.5%) and showers of secondary particles from muon interactions in the rock (>70%). Similar efficiencies will be obtained for XENONnT, the upgrade of XENON1T, which will later improve the WIMP sensitivity by another order of magnitude. With the Cherenkov water shield studied here, the background from muon-induced neutrons in XENON1T is negligible.

Fast Update of Conditional Simulation Ensembles

Gaussian random field (GRF) conditional simulation is a key ingredient in many spatial statistics problems for computing Monte-Carlo estimators and quantifying uncertainties on non-linear functionals of GRFs conditional on data. Conditional simulations are known to often be computer intensive, especially when appealing to matrix decomposition approaches with a large number of simulation points. This work studies settings where conditioning observations are assimilated batch sequentially, with one point or a batch of points at each stage. Assuming that conditional simulations have been performed at a previous stage, the goal is to take advantage of already available sample paths and by-products to produce updated conditional simulations at mini- mal cost. Explicit formulae are provided, which allow updating an ensemble of sample paths conditioned on n ≥ 0 observations to an ensemble conditioned on n + q observations, for arbitrary q ≥ 1. Compared to direct approaches, the proposed formulae proveto substantially reduce computational complexity. Moreover, these formulae explicitly exhibit how the q new observations are updating the old sample paths. Detailed complexity calculations highlighting the benefits of this approach with respect to state-of-the-art algorithms are provided and are complemented by numerical experiments.

Bayesian doubly optimal group sequential designs for randomized clinical trials

When conducting a randomized comparative clinical trial, ethical, scientific or economic considerations often motivate the use of interim decision rules after successive groups of patients have been treated. These decisions may pertain to the comparative efficacy or safety of the treatments under study, cost considerations, the desire to accelerate the drug evaluation process, or the likelihood of therapeutic benefit for future patients. At the time of each interim decision, an important question is whether patient enrollment should continue or be terminated; either due to a high probability that one treatment is superior to the other, or a low probability that the experimental treatment will ultimately prove to be superior. The use of frequentist group sequential decision rules has become routine in the conduct of phase III clinical trials. In this dissertation, we will present a new Bayesian decision-theoretic approach to the problem of designing a randomized group sequential clinical trial, focusing on two-arm trials with time-to-failure outcomes. Forward simulation is used to obtain optimal decision boundaries for each of a set of possible models. At each interim analysis, we use Bayesian model selection to adaptively choose the model having the largest posterior probability of being correct, and we then make the interim decision based on the boundaries that are optimal under the chosen model. We provide a simulation study to compare this method, which we call Bayesian Doubly Optimal Group Sequential (BDOGS), to corresponding frequentist designs using either O'Brien-Fleming (OF) or Pocock boundaries, as obtained from EaSt 2000. Our simulation results show that, over a wide variety of different cases, BDOGS either performs at least as well as both OF and Pocock, or on average provides a much smaller trial. ^

A simulation study using the hybrid statistic and the meta-analysis t-test for data with matched and unmatched subjects in the interim analysis of clinical trials

An interim analysis is usually applied in later phase II or phase III trials to find convincing evidence of a significant treatment difference that may lead to trial termination at an earlier point than planned at the beginning. This can result in the saving of patient resources and shortening of drug development and approval time. In addition, ethics and economics are also the reasons to stop a trial earlier. In clinical trials of eyes, ears, knees, arms, kidneys, lungs, and other clustered treatments, data may include distribution-free random variables with matched and unmatched subjects in one study. It is important to properly include both subjects in the interim and the final analyses so that the maximum efficiency of statistical and clinical inferences can be obtained at different stages of the trials. So far, no publication has applied a statistical method for distribution-free data with matched and unmatched subjects in the interim analysis of clinical trials. In this simulation study, the hybrid statistic was used to estimate the empirical powers and the empirical type I errors among the simulated datasets with different sample sizes, different effect sizes, different correlation coefficients for matched pairs, and different data distributions, respectively, in the interim and final analysis with 4 different group sequential methods. Empirical powers and empirical type I errors were also compared to those estimated by using the meta-analysis t-test among the same simulated datasets. Results from this simulation study show that, compared to the meta-analysis t-test commonly used for data with normally distributed observations, the hybrid statistic has a greater power for data observed from normally, log-normally, and multinomially distributed random variables with matched and unmatched subjects and with outliers. Powers rose with the increase in sample size, effect size, and correlation coefficient for the matched pairs. In addition, lower type I errors were observed estimated by using the hybrid statistic, which indicates that this test is also conservative for data with outliers in the interim analysis of clinical trials.^

Winner-Take-All Contention of Innovation under Globalization: A Simulation Analysis and East Asia's Empirics

This paper sets out to examine how innovation enhances export competitiveness: The proposition that export volume becomes enhanced as more productivity-enhancing innovation is captured by the exporting economy is the focus of this study. From a Schumpeterian perspective, innovation can be characterized by continuous creation and subsequent diffusion of newer technologies on the basis of the exporters' existing capital stock. Then we highlight the theoretical possibility that concentration of innovative activities in a small group of "winner" economies would lead to larger shares of "winner" economies' exports of innovation-active commodities than those commodities for which technology involved is already mature. The world's export data corroborates this theoretical prediction overall, and a focus upon East Asia has revealed the region's increasing resort to technology-intensive commodity sectors, which has presumably been enabled through attracting technology-bearing inward foreign direct investment. Considering the overall gains from innovation, acceleration of full "cycle" of innovation and imitation might be a desirable option.

Is FTA/EPA effective for a developing country to attract FDI? : simulation analysis based on an extended knowledge-capital model

To prepare an answer to the question of how a developing country can attract FDI, this paper explored the factors and policies that may help bring FDI into a developing country by utilizing an extended version of the knowledge-capital model. With a special focus on the effects of FTAs/EPAs between market countries and developing countries, simulations with the model revealed the following: (1) Although FTA/EPA generally ends to increase FDI to a developing country, the possibility of improving welfare through increased demand for skilled and unskilled labor becomes higher as the size of the country declines; (2) Because the additional implementation of cost-saving policies to reduce firm-type/trade-link specific fixed costs ends to depreciate the price of skilled labor by saving its input, a developing country, which is extremely scarce in skilled labor, is better off avoiding the additional option; (3) If a country hopes to enjoy larger welfare gains with EPA, efforts to increase skilled labor in the country, such as investing in education, may be beneficial.

Shower approach in the simulation of ion scattering from solids

An efficient approach for the simulation of ion scattering from solids is proposed. For every encountered atom, we take multiple samples of its thermal displacements among those which result in scattering with high probability to finally reach the detector. As a result, the detector is illuminated by intensive “showers,” where each event of detection must be weighted according to the actual probability of the atom displacement. The computational cost of such simulation is orders of magnitude lower than in the direct approach, and a comprehensive analysis of multiple and plural scattering effects becomes possible. We use this method for two purposes. First, the accuracy of the approximate approaches, developed mainly for ion-beam structural analysis, is verified. Second, the possibility to reproduce a wide class of experimental conditions is used to analyze some basic features of ion-solid collisions: the role of double violent collisions in low-energy ion scattering; the origin of the “surface peak” in scattering from amorphous samples; the low-energy tail in the energy spectra of scattered medium-energy ions due to plural scattering; and the degradation of blocking patterns in two-dimensional angular distributions with increasing depth of scattering. As an example of simulation for ions of MeV energies, we verify the time reversibility for channeling and blocking of 1-MeV protons in a W crystal. The possibilities of analysis that our approach offers may be very useful for various applications, in particular, for structural analysis with atomic resolution.

Simulation Tool and Case Study for Planning Wireless Sensor Network

In this paper, a simulation tool for assisting the deployment of wireless sensor network is introduced and simulation results are verified under a specific indoor environment. The simulation tool supports two modes: deterministic mode and stochastic mode. The deterministic mode is environment dependent in which the information of environment should be provided beforehand. Ray tracing method and deterministic propagation model are employed in order to increase the accuracy of the estimated coverage, connectivity and routing; the stochastic mode is useful for large scale random deployment without previous knowledge on geographic information. Dynamic Source Routing protocol (DSR) and Ad hoc On-Demand Distance Vector Routing protocol (AODV) are implemented in order to calculate the topology of WSN. Hence this tool gives direct view on the performance of WSN and assists users in finding the potential problems of wireless sensor network before real deployment. At the end, a case study is realized in Centro de Electronica Industrial (CEI), the simulation results on coverage, connectivity and routing are verified by the measurement.

SolarPaces 2013: Innovations on direct steam generation in linear fresnel collectors

Direct Steam Generation (DSG) in Linear Fresnel (LF) solar collectors is being consolidated as a feasible technology for Concentrating Solar Power (CSP) plants. The competitiveness of this technology relies on the following main features: water as heat transfer fluid (HTF) in Solar Field (SF), obtaining high superheated steam temperatures and pressures at turbine inlet (500ºC and 90 bar), no heat tracing required to avoid HTF freezing, no HTF degradation, no environmental impacts, any heat exchanger between SF and Balance Of Plant (BOP), and low cost installation and maintenance. Regarding to LF solar collectors, were recently developed as an alternative to Parabolic Trough Collector (PTC) technology. The main advantages of LF are: the reduced collector manufacturing cost and maintenance, linear mirrors shapes versus parabolic mirror, fixed receiver pipes (no ball joints reducing leaking for high pressures), lower susceptibility to wind damages, and light supporting structures allowing reduced driving devices. Companies as Novatec, Areva, Solar Euromed, etc., are investing in LF DSG technology and constructing different pilot plants to demonstrate the benefits and feasibility of this solution for defined locations and conditions (Puerto Errado 1 and 2 in Murcia Spain, Lidellin Newcastle Australia, Kogran Creek in South West Queensland Australia, Kimberlina in Bakersfield California USA, Llo Solar in Pyrénées France,Dhursar in India,etc). There are several critical decisions that must be taken in order to obtain a compromise and optimization between plant performance, cost, and durability. Some of these decisions go through the SF design: proper thermodynamic operational parameters, receiver material selection for high pressures, phase separators and recirculation pumps number and location, pipes distribution to reduce the amount of tubes (reducing possible leaks points and transient time, etc.), etc. Attending to these aspects, the correct design parameters selection and its correct assessment are the main target for designing DSG LF power plants. For this purpose in the recent few years some commercial software tools were developed to simulatesolar thermal power plants, the most focused on LF DSG design are Thermoflex and System Advisor Model (SAM). Once the simulation tool is selected,it is made the study of the proposed SFconfiguration that constitutes the main innovation of this work, and also a comparison with one of the most typical state-of-the-art configuration. The transient analysis must be simulated with high detail level, mainly in the BOP during start up, shut down, stand by, and partial loads are crucial, to obtain the annual plant performance. An innovative SF configurationwas proposed and analyzed to improve plant performance. Finally it was demonstrated thermal inertia and BOP regulation mode are critical points in low sun irradiation day plant behavior, impacting in annual performance depending on power plant location.

Residuos orgánicos como fuentes de fósforo

En este trabajo, se han llevado a cabo distintos experimentos en laboratorio, con el objetivo de estudiar el efecto de la aplicación de residuos orgánicos como fuentes de P en las pérdidas de este elemento, que se producen en suelo, tanto por escorrentía superficial como por lixiviación. El interés por evaluar las pérdidas de P se debe a la necesidad de conocer mejor los factores que influyen en los procesos de pérdidas de este elemento y así, poder reducir los problemas de eutrofización de aguas, tanto superficiales como subterráneas, provocadas por un exceso de este nutriente, junto con otros como el nitrógeno. Los trabajos experimentales que se han llevado a cabo se detallan a continuación: Se ha realizado el estudio de las formas de P contenidas en una serie de 14 residuos orgánicos, de distinto origen y tratamiento (compost, lodos, purines y digestato), comparando la información aportada por tres protocolos de fraccionamientos de P diferentes, seleccionados entre los principales métodos utilizados: protocolo de fraccionamiento de Ruttemberg (1992), protocolo de Normas, medidas y ensayos (Ruban et al., 2001a) y protocolo de Huang et al. (2008). Todos los métodos de fraccionamiento empleados aportaron información útil para conocer las formas de P de los residuos, a pesar de que alguno de ellos fue descrito para sedimentos o suelos. Sin embargo, resulta difícil comparar los resultados entre unos y otros, ya que cada uno emplea extractantes y tiempos de ensayos diferentes. Las cantidades de P total determinadas por cada método mantienen una relación lineal, aunque el método SMT, por ser más directo, obtiene las cantidades más elevadas para todos los residuos. Los métodos secuenciales (métodos de Huang y Ruttemberg), a pesar de ser más largos y tediosos, aportan información más detallada de la disponibilidad de las formas de P, y con ello, permiten obtener una mejor estimación de las pérdidas potenciales de este elemento tras su aplicación en suelo. Se han encontrado relaciones positivas entre las fracciones determinadas por estos dos métodos. Así mismo, se encuentra una correlación entre las formas solubles de P y la concentración de los iones [Ca + Fe + Al] de los residuos, útiles como indicadores de la disponibilidad de este elemento. Sin embargo, el protocolo SMT, no obtiene información de la solubilidad o disponibilidad de las formas de P contenidas, ni las formas determinadas mantienen relaciones directas con las de los otros métodos, con excepción del P total. Para el estudio del comportamiento de los residuos aplicados en suelos, se pusieron a punto sistemas de lluvia simulada, con el objetivo de caracterizar las pérdidas de P en la escorrentía superficial generada. Por otra parte, se emplearon columnas de suelos enmendados con residuos orgánicos, para el estudio de las pérdidas de P por lixiviación. Los ensayos de simulación de lluvia se llevaron a cabo de acuerdo al “National Phosphorus Research proyect“ (2001), que consigue simular eventos sucesivos de lluvia en unas condiciones semejantes a la realidad, empleando cajas llenas de suelo del horizonte superficial, con residuos aplicados tanto superficialmente como mediante mezcla con el propio suelo. Los ensayos se realizaron con seis residuos de diferente naturaleza y sometidos a distintos tratamientos. Se encontraron diferencias significativas en las pérdidas de las formas de P analizadas, tanto disueltas como particuladas, en las aguas de escorrentía generadas. En general, las pérdidas en el primer evento de lluvia tras la aplicación de los residuos fueron mayores a las generadas en el segundo evento, predominando las formas de P particuladas respecto a las disueltas en ambos. Se encontró una relación positiva entre las pérdidas de P en las aguas de escorrentía generadas en cada ensayo, con los contenidos de P soluble en agua y fácilmente disponible de los residuos empleados, determinados por los protocolos de fraccionamientos secuenciales. Además, se emplearon los modelos matemáticos desarrollados por Vadas et al. (2005, 2007), de evaluación de las pérdidas de P por escorrentía para fertilizantes y estiércoles. La predicción de estos modelos no se cumple en el caso de todos los residuos. Las distintas propiedades físicas de los residuos pueden afectar a las diferencias entre las pérdidas experimentales y las esperadas. Los ensayos de simulación del proceso de lixiviación se llevaron a cabo en columnas de percolación, con suelos enmendados con residuos orgánicos, de acuerdo a la norma “CEN/TS 14405–2004: Caracterización de los residuos – Test de comportamiento de lixiviación – Test de flujo ascendente”. Las pérdidas de P por procesos de lixiviación de agua, han sido despreciadas durante mucho tiempo respecto a las pérdidas por escorrentía. Sin embargo, se ha demostrado que deben tenerse en consideración, principalmente en algunos tipos de suelos o zonas cercanas a acuíferos. Se utilizaron tres suelos de distinta procedencia para los ensayos, de manera que se pudo estudiar la influencia del tipo de suelo en las pérdidas de P para cada tipo de residuo (purín, compost, digestato y lodo de EDAR). Los índices de adsorción de P determinados para cada suelo permiten evaluar aquellos que presentarán más riesgo de producir pérdidas de este elemento al aplicarse fuentes externas de P, encontrando una relación positiva entre ambos. Las pérdidas de P en los lixiviados varían en función tanto del residuo como del suelo empleado. Para el compost, el purín y el lodo, se encontró una relación entre las pérdidas generadas en el agua lixiviada de las columnas y las formas de P soluble contenidas en los residuos. Sin embargo, en el caso del digestato, no existía esta correlación. Las pérdidas para este residuo fueron en todos los casos menores a las estimadas, considerando las formas de P contenido. El estudio de la mojabilidad, propiedad física del residuo que evalúa la capacidad de interacción residuo-agua, permitió explicar el comportamiento anómalo de este residuo, con una mayor resistencia a que el agua entrara en su estructura y por tanto, una mayor dificultad de solubilizar el P contenido en el propio residuo, que en el caso de otros residuos. En general, podemos considerar que el estudio de las formas de P más disponibles o solubles en agua, aporta información útil de las pérdidas potenciales de P. Sin embargo, es necesario estudiar las propiedades físicas de los residuos orgánicos aplicados y la capacidad de adsorción de P de los suelos, para estimar las pérdidas de P y con ello, colaborar a controlar los procesos de eutrofización en aguas. ABSTRACT This dissertation explores the effect of organic wastes application as sources of P in losses of this element that occur by both surface runoff and leaching in soil. To do so, diverse laboratory experiments are conducted and presented here. Evaluating P losses is necessary to better understand the factors that influence the processes behind the loss of this element. Reducing P losses reduces eutrophication problems of both surface water and groundwater caused by an excess of this nutrient, along with other as nitrogen. Details of the experiments are presented below: The first experiment studies the forms of P contained in a series of 14 organic wastes of different origin and treatment (compost, sludge, slurry and digestate), comparing the information provided by three methods of P fractionation. The methods selected were: Ruttemberg protocol (1992); Standards, Measurements and Testing protocol (Ruban et al., 2001a); and Huang protocol (Huang et al., 2008). All fractionation methods employed successfully contribute to our knowledge of P forms in wastes, even though one of them was originally described for sediments or soils information. However, it is difficult to compare results among each other, as each protocol employs different extractants and time in the trials. Total amounts of P obtained by each method show a linear relationship, although the SMT method, which is more direct, obtains the highest amounts for all residues. Sequential methods (Huang and Ruttemberg’s protocols), despite being longer and more tedious, provide more detailed information on the availability of the forms of P. Therefore, allow the estimation of the potential losses of P after application in soil. Furthermore, positive relationships have been found among fractions obtained by these methods. Positive relationship has been found also among soluble forms of P and the concentration of ions Fe + Ca + Al, which is useful as an indicator of the availability of this element. However, the SMT protocol does not collect information about solubility or availability of forms of P contained; neither do certain forms maintain direct relations with the forms from other methods, with the exception of total P methods. To study the behavior of wastes applied to soils two experiments were conducted. Simulated rain systems were prepared to characterize P losses in the surface runoff generated. In addition, columns of soils amended with organic waste were developed for the study of P leaching losses. Simulated rain systems were carried out according to the ’National Phosphorus Research Project’ (2001), which manages to simulate successive rainfall events in conditions resembling reality. The experiment uses boxes filled with soil from the surface horizon amended with residues, both superficially and by mixing with the soil. Tests were conducted with six residues of different type and subjected to diverse treatments. Findings show significant differences in losses of the P forms analyzed in the generated runoff water, in both solution and particulate forms. In general, losses in the first rainfall event after application of waste were higher than the losses generated in the second event, predominating particulate forms of P over dissolved forms in both events. In all trials, a positive relationship was found between various P forms determined by sequential fractionation protocols (water soluble P and readily available P forms) and P losses in runoff. Furthermore, results from Vadas´s mathematical models (Vadas et al., 2005; 2007) to assess P losses by runoff fertilizers and manures indicate that the prediction of this model is not fulfilled in the case of all residues. The diverse physical properties of wastes may affect the differences between experimental and expected losses. Finally, leaching simulation processes were carried out in percolation columns, filled with soils amended with organic wastes, following the ‘CEN/TS 14405-2004 standard: Characterization of waste - Leaching behavior test - Test Flow ascending ’. P losses by leaching have been neglected for a long time with respect to runoff losses. However, findings corroborate previous studies showing that these P losses have to be taken into account, especially in certain types of soils and in zones near aquifers. To study the influence of soil type on P losses, experiments were carried out with three different soils and for each type of waste (manure, compost, digestate and sludge WWTP). Each soil’s P adsorption rates allow assessing which soils imply a higher risk of P losses when external sources of P are applied. P losses in leachate vary according to the type of soil employed and according to the specific residue. In the case of compost, manure and sludge, there is a relationship between leaching losses and residues’ soluble forms of P. The exception being the digestate, where there was no such correlation. Digestate P losses by leaching were lower than expected in all cases considering the forms of P contained. Moreover, examining digestate wettability -- that is, the physical property of the residue that assesses the capacity of waste-water interaction -- allowed explaining the anomalous behavior of this residue. Digestate has a high resistance to water entering its structure and thus higher difficulty to solubilize the P contained. Overall, studying the more available or soluble P forms provides useful information about the potential loss of P. However, this dissertation shows that it is necessary to examine the physical properties of organic residues applied as well as the P adsorption capacity of soils to estimate P losses, and thus to control eutrophication in water.

Let's Gain More Confidence Of Clinicians With Our Colorful Contours: Blood Flow Simulation In Arteries Using Abaqus & STAR-CCM+

The objective of the current work is to present the results of several numerical simulations of pulsatile blood flow in healthy and diseased arteries and compare with clinical expectations. Different realistic and physiological aspects such as blood flow interaction with arterial walls, effect of heart movement, cardiovascular autoregulation, arterial walls' hyperelasticity and cardiovascular disorders have been incorporated in the models thanks to a direct coupling of Abaqus and STAR-CCM+. Comparisons of implicit and explicit coupling methods in cardiovascular simulations have been discussed. An in-house methodology combined with explicit FSI coupling has reduced considerably calculation time while the simulations stay realistic and reliable for clinicians