A large-scale validation study of aircraft noise modeling for airport arrivals.

In the U.S., the Federal Aviation Administration's Aviation Environmental Design Tool (AEDT) is approved to predict the impacts of aircraft noise and emissions. AEDT's critical role in regulatory compliance and evaluating the environmental impacts of aviation requires asking how accurate are its noise predictions. Previous studies suggest that AEDT's predictions lack desired accuracy. This paper reports on a large-scale study, using 200 000 flight trajectories paired with measured sound levels for arrivals to Runways 28L/28R at San Francisco International Airport, over 12 months. For each flight, two AEDT studies were run, one using the approved mode for regulatory filing and the other using an advanced non-regulatory mode with exact aircraft trajectories. AEDT's per aircraft noise predictions were compared with curated measured sound levels at two locations. On average, AEDT underestimated LAmax by -3.09 dB and SEL by -2.04 dB, combining the results from both AEDT noise-modeling modes. Discrepancies appear to result from limitations in the physical modeling of flight trajectories and noise generation, combined with input data uncertainties (aircraft weight, airspeed, thrust, and lift configuration) and atmospheric conditions.

Ferromagnetic frozen structures from the dipolar hard spheres fluid at moderate and small volume fractions.

We study the magnetic phase diagram of an ensemble of dipolar hard spheres (DHSs) with or without uniaxial anisotropy and frozen in position on a disordered structure by tempered Monte Carlo simulations. The crucial point is to consider an anisotropic structure, obtained from the liquid state of the DHS fluid, frozen in its polarized state at low temperature. The freezing inverse temperatureßfdetermines the degree of anisotropy of the structure which is quantified through a structural nematic order parameter,λs. The case of the non zero uniaxial anisotropy is considered only in its infinitely strong strength limit where the system transforms in a dipolar Ising model (DIM). The important finding of this work is that both the DHS and the DIM with a frozen structure build in this way present a ferromagnetic phase at volume fractions below the threshold value where the corresponding isotropic DHS systems exhibit a spin glass phase at low temperature.

Phase diagram of a three-dimensional dipolar Ising model with textured Ising axes.

We study from tempered Monte Carlo simulations the magnetic phase diagram of a textured dipolar Ising model on a face centered cubic lattice. The Ising coupling of the model follow the dipole-dipole interaction. The Ising axes are distributed with a uniaxial symmetry along the [Formula: see text] direction with a Gaussian probability density of the polar angles. This distribution provides a quenched disorder realization of the dipolar Ising model making a continuous link between the parallel axes dipoles and the random axes dipole models. As expected the phase diagram presents three distinctive phases: paramagnetic, ferromagnetic and spin-glass. A quasi long range ferromagnetic and a reentrant spin-glass phases are obtained in the vicinity of the ferromagnetic spin-glass line. This model provides a way to predict the magnetic phases of magnetic nanoparticles supracrystals in terms of the texturation of the easy axes distribution in the strong anisotropy limit.

Nature of the spin-glass phase in dense packings of Ising dipoles with random anisotropy axes.

Using tempered Monte Carlo simulations, we study the the spin-glass phase of dense packings of Ising dipoles pointing along random axes. We consider systems of dipoles (i) placed on the sites of a simple cubic lattice with lattice constant d, and (ii) placed at the center of random close packed spheres of diameter d that occupy 64% of the volume. For both cases, we find a spin-glass phase below a certain temperature T sg. By analysing the data obtained for the overlap parameter, the associated correlation length, as well as the statistics of the overlap distributions of individual samples, we find a behavior consistent with quasi-long-range order in the spin-glass phase, similar to the one previously found in strongly diluted dipolar systems.

Enabling the environmentally clean air transportation of the future: a vision of computational fluid dynamics in 2030.

As global air travel expands rapidly to meet demand generated by economic growth, it is essential to continue to improve the efficiency of air transportation to reduce its carbon emissions and address concerns about climate change. Future transports must be 'cleaner' and designed to include technologies that will continue to lower engine emissions and reduce community noise. The use of computational fluid dynamics (CFD) will be critical to enable the design of these new concepts. In general, the ability to simulate aerodynamic and reactive flows using CFD has progressed rapidly during the past several decades and has fundamentally changed the aerospace design process. Advanced simulation capabilities not only enable reductions in ground-based and flight-testing requirements, but also provide added physical insight, and enable superior designs at reduced cost and risk. In spite of considerable success, reliable use of CFD has remained confined to a small region of the operating envelope due, in part, to the inability of current methods to reliably predict turbulent, separated flows. Fortunately, the advent of much more powerful computing platforms provides an opportunity to overcome a number of these challenges. This paper summarizes the findings and recommendations from a recent NASA-funded study that provides a vision for CFD in the year 2030, including an assessment of critical technology gaps and needed development, and identifies the key CFD technology advancements that will enable the design and development of much cleaner aircraft in the future.

Magnetic ordering of systems of nanodisks with quenched positional disorder.

The effect of positional disorder in systems of single domain ferromagnetic nanodisks placed on a two-dimensional square lattice is studied by Monte Carlo simulations. Nanodisks are treated as magnetic dipoles pointing along one of the two principal axes of the lattice. Disorder is introduced displacing each nanodisk by (δx, δy) from its regular lattice position, where δx is randomly chosen within the interval 0 ≤ δx ≤ Δ and analogously for δy. Two different regimes are found: for Δ < Δ(0) = 0.18(2) (in units of lattice spacing) a thermally driven transition between a paramagnetic and a dipolar antiferromagnetic phase with a critical exponent α/ν changing continuously with Δ; for Δ ≥ Δ(0) a paramagnetic phase covering the whole T > 0 range. Plots of the spin-glass overlap parameter versus temperature T or lattice size L seem to exclude an equilibrium spin-glass phase in the latter regime.

Prognostic factors in follicular lymphoma: the importance of beta-2 microglobulin.

AIMS AND BACKGROUND: The Follicular Lymphoma International Prognostic Index (FLIPI) is a useful tool for the prognostic assessment of follicular lymphoma but beta-2 microglobulin (B2M) was not incorporated in this index. We aimed to compare the predictive value of B2M, FLIPI and other prognostic factors not included in the FLIPI index for overall survival (OS), complete remission (CR), and time to treatment failure (TTF) in a nonselected follicular lymphoma series. METHODS AND STUDY DESIGN: Retrospective univariate and multivariate analysis of the prognostic value (for OS, CR, TTF) of B2M, FLIPI and other prognostic variables in follicular lymphoma was conducted in a cohort of follicular lymphoma patients between 1987 and 2007. RESULTS: One hundred and six patients were studied. In univariate analysis B2M and B symptoms were significantly associated with OS, and FLIPI only detected two risk levels. In multivariate analysis of OS only two significant variables were found: FLIPI and B2M. Multivariate analysis of CR showed that normal B2M, absence of a bulky mass, uninvolved bone marrow, and chemotherapy with rituximab were significant predictors of CR. FLIPI (three levels), B2M, bone marrow infiltration, and chemotherapy with rituximab were significantly associated with TTF. CONCLUSIONS: We found a high predictive value of B2M for OS, CR, and TTF. B2M and FLIPI were the most important variables to predict OS. However, in our series FLIPI differentiated only between two mortality risk levels.

Cider proteins and foam characteristics: a contribution to their characterization.

A capillary sieving electrophoretic method for protein analysis and molecular weight determination was used to characterize ciders from Asturias, northern Spain. The total protein content (Bradford method) and the foam parameters (Bikerman method) were also analyzed to complete this characterization. The polypeptide profile, based on the molecular weight, together with exploratory and classification techniques, that is, principal component analysis (PCA) or linear discriminant analysis (LDA), allowed ciders to be differentiated on the basis of their foam assessment and the apple juice extraction technology used in the cidermaking process. In addition, the application of correlation analysis, that is, canonical correlations (CCA) or partial least-squares (PLS), revealed that the proteins with higher molecular weight were more relevant with respect to cider foamability. PLS analysis also provided a mathematical equation that is able to predict the stabilization time of foam from the polypeptide profile of the cider, because this is the foam parameter most influenced by these compounds.

Typification of cider brandy on the basis of cider used in its manufacture.

A study of typification of cider brandies on the basis of the origin of the raw material used in their manufacture was conducted using chemometric techniques (principal component analysis, linear discriminant analysis, and Bayesian analysis) together with their composition in volatile compounds, as analyzed by gas chromatography with flame ionization to detect the major volatiles and by mass spectrometric to detect the minor ones. Significant principal components computed by a double cross-validation procedure allowed the structure of the database to be visualized as a function of the raw material, that is, cider made from fresh apple juice versus cider made from apple juice concentrate. Feasible and robust discriminant rules were computed and validated by a cross-validation procedure that allowed the authors to classify fresh and concentrate cider brandies, obtaining classification hits of >92%. The most discriminating variables for typifying cider brandies according to their raw material were 1-butanol and ethyl hexanoate.

Detection of apple juice concentrate in the manufacture of natural and sparkling cider by means of HPLC chemometric sugar analyses.

An HPLC method for sugar analyses in cider was used in order to detect the presence of apple juice concentrate. Sugars, previously derivatized with p-aminobenzoic ethyl ester, were analyzed by reversed-phase liquid chromatography using a C(8) column and a mobile phase of citrate buffer pH 5.5/tetrahydrofuran/acetonitrile, operated in gradient mode. The use of this analytical procedure together with chemometric techniques, such as principal component analysis and Bayesean analysis, allowed the authors to establish the minimum concentration of apple juice concentrate obtained by liquefaction or press technology that can be detected in natural cider.

Influence of distillation system, oak wood type, and aging time on composition of cider brandy in phenolic and furanic compounds.

A control of phenolic and furanic compounds in cider brandy was carried out during maturation in oak casks, studying three technological factors: distillation (rectification column vs double distillation), oak wood type (French vs American), and aging time (32 months). Gallic acid and benzoic and cinnamic aldehydes significantly increased during maturation of cider brandies, the highest level of these phenolics being obtained when aging was conducted in French oak casks. Benzoic acids increased during aging, though furanic compounds were not influenced by the time factor. Distillation and wood factors significantly influenced furanic concentration; 5-hydroxymethylfurfural not was detected in fresh spirits and was extracted in the highest proportion in French oak. Volatile furanics, such as 5-methylfurfural, furfural, and 2-furylmethyl ketone, were influenced by the distillation factor, with the use of the double distillation system producing a higher level of these compounds. Scopoletin was the majority coumarin detected in cider brandies, the highest yield of which was obtained with the use of American oak.

Influence of distillation system, oak wood type, and aging time on volatile compounds of cider brandy.

A study of the influence of distillation system, oak wood type, and aging time on volatile compounds of cider brandy was carried out. Acetaldehyde and acetaldehyde diethyl acetal were influenced by distillation technology, oak wood type, and maturation time. The majority ester, ethyl ethanoate, increased during aging, the highest level of this ester being detected in spirits distilled by double distillation. The alcohols of higher molecular weight were better recovered in the rectification column than in the double distillation system. Ethanoate esters decreased throughout aging of the spirits, and their degradation velocity was lower in distillates obtained from double distillation. Fatty acids and their ethyl esters presented the opposite evolution during aging, detecting an increase in ethyl esters and a decrease in their corresponding fatty acids. An increase of 1,1,3-triethoxypropane was detected during aging. French oak contributes the trans isomer of beta-methyl-gamma-octalactone and American oak contributes the cis isomer.

Magnetization process of single molecule magnets at low temperatures.

We show that correlations established before quenching to very low temperatures later drive the magnetization process of systems of single molecule magnets, after a magnetic field is applied at t=0. We also show that in simple cubic lattices m proportional, variant sqrt[t], as observed in Fe8, but only for 1+2log((10)(h(d)/h(w)) time decades, where h(d) is a nearest neighbor dipolar magnetic field and a spin reversal can occur only if the field on it is within (-h(w),h(w)). However, the sqrt[t] behavior is not universal. For bcc and fcc lattices, m proportional, variant t(p), but p approximately 0.7. The value to which m finally levels off is also given.

Evolution of sugars in cider brandy aged in oak barrels: a contribution to its characterization.

A chemometric study was carried out to typify cider brandies according to the type of wood employed in the maturation process and their aging time. Monosaccharides, previously derivatized with p-aminobenzoic ethyl ester, were analyzed using a reversed-phase high-performance liquid chromatographic method. Univariate data treatment was not sufficient to enable differentiation of the classes of cider brandies on the basis of wood type and maturation time. Two linear combinations of original variables, ascertained by principal components analysis, provided an adequate data structurization. A mathematical decision rule was established to classify cider brandies with prediction capacities of 92 and 97% using an LDA method and Bayesian analysis, respectively. The use of the PLS algorithm allowed the authors to differentiate cider brandies according to the age and type of oak used in the aging process.

Characterization of cider apples on the basis of their fatty acid profiles.

In the current study, the fatty acids composition of 30 monovarietal apple juices from six cider apple varieties belonging to two categories was analyzed. The different apple juices were obtained from three consecutive harvests (1997, 1998, and 1999). The fatty acids concentration in apple juice together with chemometric techniques such as principal components analysis (PCA), soft independent modeling of class analogy (SIMCA), and linear discriminant analysis (LDA), allowed us to differentiate apple juices on the basis of the sweet or sharp category to which the cider apple variety belongs. Fatty acids such as the unsaturated oleic and linoleic acids, and saturated caprylic, capric, stearic, and palmitic acids were related to the sweet cider apple category, while pentadecanoic acid is related to the sharp class.