927 resultados para Weighted Generalised Affinity Coefficient
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A simplified CFD wake model based on the actuator-disk concept is used to simulate the wind turbine, represented by an actuator disk upon which a distribution of forces, defined as axial momentum sources, are applied on the incoming flow. The rotor is supposed to be uniformly loaded, with the exerted forces as a function of the incident wind speed, the thrust coefficient and the rotor diameter. The model is validated through experimental measurements downwind of a wind turbine in terms of wind speed deficit. Validation on turbulence intensity will also be made in the near future.
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Territory or zone design processes entail partitioning a geographic space, organized as a set of areal units, into different regions or zones according to a specific set of criteria that are dependent on the application context. In most cases, the aim is to create zones of approximately equal sizes (zones with equal numbers of inhabitants, same average sales, etc.). However, some of the new applications that have emerged, particularly in the context of sustainable development policies, are aimed at defining zones of a predetermined, though not necessarily similar, size. In addition, the zones should be built around a given set of seeds. This type of partitioning has not been sufficiently researched; therefore, there are no known approaches for automated zone delimitation. This study proposes a new method based on a discrete version of the adaptive additively weighted Voronoi diagram that makes it possible to partition a two-dimensional space into zones of specific sizes, taking both the position and the weight of each seed into account. The method consists of repeatedly solving a traditional additively weighted Voronoi diagram, so that each seed?s weight is updated at every iteration. The zones are geographically connected using a metric based on the shortest path. Tests conducted on the extensive farming system of three municipalities in Castile-La Mancha (Spain) have established that the proposed heuristic procedure is valid for solving this type of partitioning problem. Nevertheless, these tests confirmed that the given seed position determines the spatial configuration the method must solve and this may have a great impact on the resulting partition.
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Introduction Diffusion weighted Imaging (DWI) techniques are able to measure, in vivo and non-invasively, the diffusivity of water molecules inside the human brain. DWI has been applied on cerebral ischemia, brain maturation, epilepsy, multiple sclerosis, etc. [1]. Nowadays, there is a very high availability of these images. DWI allows the identification of brain tissues, so its accurate segmentation is a common initial step for the referred applications. Materials and Methods We present a validation study on automated segmentation of DWI based on the Gaussian mixture and hidden Markov random field models. This methodology is widely solved with iterative conditional modes algorithm, but some studies suggest [2] that graph-cuts (GC) algorithms improve the results when initialization is not close to the final solution. We implemented a segmentation tool integrating ITK with a GC algorithm [3], and a validation software using fuzzy overlap measures [4]. Results Segmentation accuracy of each tool is tested against a gold-standard segmentation obtained from a T1 MPRAGE magnetic resonance image of the same subject, registered to the DWI space. The proposed software shows meaningful improvements by using the GC energy minimization approach on DTI and DSI (Diffusion Spectrum Imaging) data. Conclusions The brain tissues segmentation on DWI is a fundamental step on many applications. Accuracy and robustness improvements are achieved with the proposed software, with high impact on the application’s final result.
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This paper shows the Gini Coefficient, the dissimilarity Index and the Lorenz Curve for the Spanish Port System by type of goods from 1960 to the year 2010 for business units: Total traffic, Liquid bulk cargo, Solid bulk cargo, General Merchandise and Container (TEUs) with the aim of carcaterizar the Spanish port systems in these periods and propose future strategies.
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Fission product yields are fundamental parameters for several nuclear engineering calculations and in particular for burn-up/activation problems. The impact of their uncertainties was widely studied in the past and valuations were released, although still incomplete. Recently, the nuclear community expressed the need for full fission yield covariance matrices to produce inventory calculation results that take into account the complete uncertainty data. In this work, we studied and applied a Bayesian/generalised least-squares method for covariance generation, and compared the generated uncertainties to the original data stored in the JEFF-3.1.2 library. Then, we focused on the effect of fission yield covariance information on fission pulse decay heat results for thermal fission of 235U. Calculations were carried out using different codes (ACAB and ALEPH-2) after introducing the new covariance values. Results were compared with those obtained with the uncertainty data currently provided by the library. The uncertainty quantification was performed with the Monte Carlo sampling technique. Indeed, correlations between fission yields strongly affect the statistics of decay heat. Introduction Nowadays, any engineering calculation performed in the nuclear field should be accompanied by an uncertainty analysis. In such an analysis, different sources of uncertainties are taken into account. Works such as those performed under the UAM project (Ivanov, et al., 2013) treat nuclear data as a source of uncertainty, in particular cross-section data for which uncertainties given in the form of covariance matrices are already provided in the major nuclear data libraries. Meanwhile, fission yield uncertainties were often neglected or treated shallowly, because their effects were considered of second order compared to cross-sections (Garcia-Herranz, et al., 2010). However, the Working Party on International Nuclear Data Evaluation Co-operation (WPEC)
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In this work, an improvement of the results presented by [1] Abellanas et al. (Weak Equilibrium in a Spatial Model. International Journal of Game Theory, 40(3), 449-459) is discussed. Concretely, this paper investigates an abstract game of competition between two players that want to earn the maximum number of points from a finite set of points in the plane. It is assumed that the distribution of these points is not uniform, so an appropriate weight to each position is assigned. A definition of equilibrium which is weaker than the classical one is included in order to avoid the uniqueness of the equilibrium position typical of the Nash equilibrium in these kinds of games. The existence of this approximated equilibrium in the game is analyzed by means of computational geometry techniques.
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This paper presents analysis and discussion of the b- and ib-values calculated from the acoustic emission (AE) signals recorded during dynamic shake-table tests conducted on a reinforced concrete (RC) frame subjected to several uniaxial seismic simulations of increasing intensity until collapse. The intensity of shaking was controlled by the peak acceleration applied to the shake-table in each seismic simulation, and it ranged from 0.08 to 0.47 times the acceleration of gravity. The numerous spurious signals not related to concrete damage that inevitably contaminate AE measurements obtained from complex dynamic shake-table tests were properly filtered with an RMS filter and the use of guard sensors. Comparing the b- and ib-values calculated through the tests with the actual level of macro-cracking and damage observed during testing, it was concluded that the limit value of 0.05 proposed in previous research to determine the onset of macro-cracks should be revised in the case of earthquake-type dynamic loading. Finally, the b- and ibvalues were compared with the damage endured by the RC frame evaluated both visually and quantitatively in terms of the inter-story drift index.
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Las tendencias actuales apuntan al desarrollo de nuevos materiales económicos y ecológicos con óptimas propiedades mecánicas, acústicas y térmicas. En la caracterización acústica del material es habitual medir su coeficiente de absorción sonora. Las dos técnicas usuales de medida de este parámetro son en cámara reverberante y en tubo de Kundt. No obstante, existen técnicas de medida “in situ” del coeficiente de absorción que permiten una comprobación del comportamiento real en la forma definitiva de colocación del material. En este trabajo se presenta un estudio comparativo del coeficiente de absorción sonora medido en un material usando distintas técnicas de medida.
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El incremento de la contaminación acústica se ha convertido en un problema medioambiental lo cual ha generado un aumento en la demanda del aislamiento de los edificios para lograr el confort acústico. Existen métodos de medición de aislamiento acústico a ruido aéreo de fachadas bajo ensayo “in situ” pero no para techos. El objetivo de esta investigación consiste en determinar el aislamiento acústico de prototipos de techos ecológicos multicapas adaptando la metodología recomendada por normas internacionales. Se propusieron cuatro prototipos de techos con distintos materiales naturales como especies vegetales y sustratos de fibra de coco, superpuestos sobre un techo base liviano. Al sustrato se le varió su espesor de 10 a 20 cm, sus condiciones seca o húmeda y su densidad: 100%, 66% y 33% fibra de coco. En los resultados se determinó que las especies vegetales no aportaron aislamiento, pero al incrementar el espesor y densidad del sustrato mejoró el aislamiento sonoro. También se determinó que el aislamiento acústico en condición seca fue mejor que en condición húmeda. Se planteó una metodología para determinar el aislamiento acústico a ruido aéreo en techos bajo ensayo “in situ” empleando el método global con altavoz, ésta se estructuró en tres partes: la primera describe el módulo experimental y la plataforma tecnológica; la segunda aborda procedimientos para medir los niveles de presión sonora, niveles de ruido de fondo y los tiempos de reverberación, en bandas de frecuencia de tercios de octava; en la tercera se explica el cálculo de los promedios de estos parámetros, así como también la diferencia de niveles estandarizada, el índice de reducción sonora aparente con sus valores globales y su incertidumbre. Así mismo, se determinó un algoritmo de predicción del aislamiento acústico, analizando los valores obtenidos en las mediciones “in situ” como la Diferencia de nivel estandarizada ponderada y el Índice ponderado de reducción sonora, los cuales se relacionaron con el peso y el espesor de los materiales de las diferentes multicapas. A través de un análisis de regresión se establecieron modelos para predecir la Diferencia de nivel estandarizada y el Índice de reducción sonora aparente en bandas de octavas. Los resultados del modelo propuesto son cercanos a los datos medidos “in situ”. Por otra parte, se realizaron mediciones térmicas en un módulo experimental y otro de referencia en tres períodos del día. En el módulo experimental se construyeron los prototipos de techos ecológicos y en el de referencia un techo de construcción tradicional, se compararon los resultados de ambos módulos y su interacción con la temperatura exterior. Se detectó que las temperaturas internas del módulo experimental en condición seca tienden a mantener sus valores durante todo el día, en horas de la mañana sus valores son superiores a los del módulo de referencia y temperatura exterior. Al mediodía y en la tarde las temperaturas internas del módulo experimental son inferiores a las del módulo de referencia, incrementándose esta última a medida que aumenta temperatura exterior. Finalmente, a partir de las mediciones “in situ” se realizaron cuatro modelos de correlación acústica-térmica, los tres primeros relacionando la temperatura y el nivel de presión sonora en tres momentos del día, en la tarde se aprecia que a medida que aumenta la temperatura aumentan los niveles de presión sonora. En el cuarto modelo se estableció una correlación acústica-térmica entre la resistencia térmica de los materiales de las multicapas con su índice de reducción sonora, obteniéndose un coeficiente de correlación moderado. La presente investigación plantea retos desde el punto de vista ambiental, permite cuantificar el aislamiento acústico de los techos y mejorar la calidad de vida en áreas urbanas; el empleo de los materiales de procedencia local como los utilizados fomenta el respeto por la naturaleza y producen un menor impacto ambiental. ABSTRACT Sound contamination increase has generated a raise in insulation demand of buildings in order to achieve a sound comfort, and this has become into an environmental problem. There are measurements methods for air borne soundproofing in facades through “in situ” test but there are not for roofs. The purpose of this research is to determine sound insulation of multilayer green roof prototypes following the methodology suggested by international standards. Four prototypes of roofs with different types of vegetation and overlapped coconut fiber substrates over a light roof were proposed. Thickness of substrate varied from 10 to 20 cm, as well as its dry a humid condition and its density: 100%, 66% y 33% of coconut fiber. Results determined that vegetation did not contribute to insulation but when increasing substrate’s thickness and density, sound insulation was improved. Likewise, it was determined that sound insulation in dry condition was greater than in humid condition. A methodology to determine airborne sound insulation in roofs through “in situ” test using a speaker global method was stated. This was structured in three parts: the first part describes the experimental module and the technological platform; the second one establishes the procedures to measure sound pressure levels; levels of background noise and time of reverberation in frequency bands of thirds of octave, and in the third part, averages of these parameters, as well as the difference of standardized levels, the apparent sound reduction with its global values and uncertainty were calculated. Likewise, a prediction algorithm of sound insulation was determined by analyzing values obtained in “in-situ” measures such as the difference of weighted standardized level and the weighted index of sound reduction which they were related to weight and thickness of different multilayer materials. Models to predict the standardized level difference and the apparent sound reduction index in bands of octaves were established by a regression analysis. Results for the proposed model are close to data measured “in situ”. On the other hand, thermal measures were done in an experimental module, as well as in another as for reference in three periods of the day. Green prototypes roofs were built in the experimental module and a traditional roof were built in the reference one. Results of both modules were compared as well as the interaction with outside temperature. Internal temperatures of the experimental module in dry condition tend to keep their values throughout the day; in the morning, its values are higher than those of the reference module and external temperatures. Finally, four models of sound-thermal correlation were done from measures “in situ”. The first three were related to temperature and sound pressure level in three moments of the day. In the afternoon, it is observed that when temperature increases, sound pressure levels increases too. In the fourth model, a sound and thermal correlation was established between thermal resistance of multilayer materials with their sound reduction index, and a moderated correlation coefficient was obtained. This research poses challenges from the environmental point of view, and it allows quantifying sound insulation of roofs as well as improving quality of life in urban areas; the use of local vegetation promotes respect for nature and it produces a smaller environmental impact as well.
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The refractive index and extinction coefficient of chemical vapour deposition grown graphene are determined by ellipsometry analysis. Graphene films were grown on copper substrates and transferred as both monolayers and bilayers onto SiO2/Si substrates by using standard manufacturing procedures. The chemical nature and thickness of residual debris formed after the transfer process were elucidated using photoelectron spectroscopy. The real layered structure so deduced has been used instead of the nominal one as the input in the ellipsometry analysis of monolayer and bilayer graphene, transferred onto both native and thermal silicon oxide. The effect of these contamination layers on the optical properties of the stacked structure is noticeable both in the visible and the ultraviolet spectral regions, thus masking the graphene optical response. Finally, the use of heat treatment under a nitrogen atmosphere of the graphene-based stacked structures, as a method to reduce the water content of the sample, and its effect on the optical response of both graphene and the residual debris layer are presented. The Lorentz-Drude model proposed for the optical response of graphene fits fairly well the experimental ellipsometric data for all the analysed graphene-based stacked structures.
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Interaction of the αβ T cell receptor (TCR) with major histocompatibility (MHC) molecules occupied with any of a large collection of peptides derived from self proteins is a critical step in driving T cell “positive” selection in the thymus. Interaction with this same pool of self-peptide/MHC ligands deletes T cells with potential self-reactivity. To examine how T cells survive both of these processes to form a self-tolerant mature repertoire, mice were constructed whose entire class II MHC IEk specific repertoire was positively selected on a single peptide covalently attached to the IEk molecule. In these mice T cells were identified that could respond to a variant of the positively selecting peptide bound to IEk. The affinities of the TCRs from these T cells for the positively selecting ligand were extremely low and at least 10-fold less than those for the activating ligand. These results support the theory that positive selection is driven by TCR affinities lower than those involved in T cell deletion or activation and that, if present at high concentration, even very low affinity ligands can positively select.
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Nrd1 is an essential yeast protein of unknown function that has an RNA recognition motif (RRM) in its carboxyl half and a putative RNA polymerase II-binding domain, the CTD-binding motif, at its amino terminus. Nrd1 mediates a severe reduction in pre-mRNA production from a reporter gene bearing an exogenous sequence element in its intron. The effect of the inserted element is highly sequence-specific and is accompanied by the appearance of 3′-truncated transcripts. We have proposed that Nrd1 binds to the exogenous sequence element in the nascent pre-mRNA during transcription, aided by the CTD-binding motif, and directs 3′-end formation a short distance downstream. Here we show that highly purified Nrd1 carboxyl half binds tightly to the RNA element in vitro with sequence specificity that correlates with the efficiency of cis-element-directed down-regulation in vivo. A large deletion in the CTD-binding motif blocks down-regulation but does not affect the essential function of Nrd1. Furthermore, a nonsense mutant allele that produces truncated Nrd1 protein lacking the RRM has a dominant-negative effect on down-regulation but not on cell growth. Viability of this and several other nonsense alleles of Nrd1 appears to require translational readthrough, which in one case is extremely efficient. Thus the CTD-binding motif of Nrd1 is important for pre-mRNA down-regulation but is not required for the essential function of Nrd1. In contrast, the RNA-binding activity of Nrd1 appears to be required both for down-regulation and for its essential function.
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A cDNA from a novel Ca2+-dependent member of the mitochondrial solute carrier superfamily was isolated from a rabbit small intestinal cDNA library. The full-length cDNA clone was 3,298 nt long and coded for a protein of 475 amino acids, with four elongation factor-hand motifs located in the N-terminal half of the molecule. The 25-kDa N-terminal polypeptide was expressed in Escherichia coli, and it was demonstrated that it bound Ca2+, undergoing a reversible and specific conformational change as a result. The conformation of the polypeptide was sensitive to Ca2+ which was bound with high affinity (Kd ≈ 0.37 μM), the apparent Hill coefficient for Ca2+-induced changes being about 2.0. The deduced amino acid sequence of the C-terminal half of the molecule revealed 78% homology to Grave disease carrier protein and 67% homology to human ADP/ATP translocase; this sequence homology identified the protein as a new member of the mitochondrial transporter superfamily. Northern blot analysis revealed the presence of a single transcript of about 3,500 bases, and low expression of the transporter could be detected in the kidney but none in the liver. The main site of expression was the colon with smaller amounts found in the small intestine proximal to the ileum. Immunoelectron microscopy localized the transporter in the peroxisome, although a minor fraction was found in the mitochondria. The Ca2+ binding N-terminal half of the transporter faces the cytosol.
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Catalytic antibodies have shown great promise for catalyzing a tremendously diverse set of natural and unnatural chemical transformations. However, few catalytic antibodies have efficiencies that approach those of natural enzymes. In principle, random mutagenesis procedures such as phage display could be used to improve the catalytic activities of existing antibodies; however, these studies have been hampered by difficulties in the recombinant expression of antibodies. Here, we have grafted the antigen binding loops from a murine-derived catalytic antibody, 17E8, onto a human antibody framework in an effort to overcome difficulties associated with recombinant expression and phage display of this antibody. “Humanized” 17E8 retained similar catalytic and hapten binding properties as the murine antibody while levels of functional Fab displayed on phage were 200-fold higher than for a murine variable region/human constant region chimeric Fab. This construct was used to prepare combinatorial libraries. Affinity panning of these resulted in the selection of variants with 2- to 8-fold improvements in binding affinity for a phosphonate transition-state analog. Surprisingly, none of the affinity-matured variants was more catalytically active than the parent antibody and some were significantly less active. By contrast, a weaker binding variant was identified with 2-fold greater catalytic activity and incorporation of a single substitution (Tyr-100aH → Asn) from this variant into the parent antibody led to a 5-fold increase in catalytic efficiency. Thus, phage display methods can be readily used to optimize binding of catalytic antibodies to transition-state analogs, and when used in conjunction with limited screening for catalysis can identify variants with higher catalytic efficiencies.
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The transport of cations across membranes in higher plants plays an essential role in many physiological processes including mineral nutrition, cell expansion, and the transduction of environmental signals. In higher plants the coordinated expression of transport mechanisms is essential for specialized cellular processes and for adaptation to variable environmental conditions. To understand the molecular basis of cation transport in plant roots, a Triticum aestivum cDNA library was used to complement a yeast mutant deficient in potassium (K+) uptake. Two genes were cloned that complemented the mutant: HKT1 and a novel cDNA described in this report encoding a cation transporter, LCT1 (low-affinity cation transporter). Analysis of the secondary structure of LCT1 suggests that the protein contains 8–10 transmembrane helices and a hydrophilic amino terminus containing sequences enriched in Pro, Ser, Thr, and Glu (PEST). The transporter activity was assayed using radioactive isotopes in yeast cells expressing the cDNA. LCT1 mediated low-affinity uptake of the cations Rb+ and Na+, and possibly allowed Ca2+ but not Zn2+ uptake. LCT1 is expressed in low abundance in wheat roots and leaves. The precise functional role of this cation transporter is not known, although the competitive inhibition of cation uptake by Ca2+ has parallels to whole plant and molecular studies that have shown the important role of Ca2+ in reducing Na+ uptake and ameliorating Na+ toxicity. The structure of this higher plant ion transport protein is unique and contains PEST sequences.