Filtro respiratório reduz efeitos cardiovasculares associados à poluição: estudo randomizado, duplo-cego, controlado e cruzado em pacientes com insuficiência cardíaca (FILTER-HF trial)

Introdução A poluição do ar é um fator de risco associado com descompensação e mortalidade em pacientes com insuficiência cardíaca (IC). Objetivo Avaliar o impacto de um filtro de polipropileno sobre desfechos cardiovasculares em pacientes com IC e voluntários saudáveis durante exposição controlada à poluição. Métodos Ensaio clínico duplocego, controlado e cruzado, incluindo 26 pacientes com IC e 15 voluntários saudáveis, expostos a três protocolos diferentes de inalação randomizados por ordem: Ar Limpo; Exposição à Partículas de Exaustão do Diesel (ED); e ED filtrada. Os desfechos estudados foram função endotelial por índice de hiperemia reativa (RHi) e índice de aumento (Aix), biomarcadores séricos, variáveis de teste cardiopulmonar submáximo (caminhada de seis-minutos [tc6m]; consumo de oxigênio [VO2]; equivalente ventilatório de gás carbônico [VE/VCO2 slope]; consumo de O2 por batida [PulsoO2]) e variabilidade da frequência cardíaca (VFC). Resultados No grupo IC, a ED piorou o RHi [de 2,17 (IQR: 1,8-2,5) para 1,72 (IQR: 1,5-2,2); p=0,002], reduziu o VO2 [de 11.0 ± 3.9 para 8.4±2.8ml/Kg/min; p < 0.001], o tc6m [de 243,3±13 para 220,8 ± 14m; p=0,030] e o PulsoO2 [de 8.9 ± 1.0 para 7.8±0.7ml/bpm; p < 0.001]; e aumentou o BNP [de 47,0pg/ml (IQR: 17,3-118,0) para 66,5pg/ml (IQR: 26,5-155,5); p=0,004]. O filtro foi capaz de reduzir a concentração de poluição de 325±31 para 25±6?g/m3 (p < 0,001 vs. ED). No grupo IC, o filtro foi associado com melhora no RHi [2,06 (IQR: 1,5-2,6); p=0,019 vs. ED); aumento no VO2 (10.4 ± 3.8ml/Kg/min; p < 0.001 vs. ED) e PulsoO2 (9.7±1.1ml/bpm; p < 0.001 vs. ED); e redução no BNP [44,0pg/ml (IQR: 20,0-110,0); p=0,015 vs. ED]. Em ambos os grupos, a ED reduziu o Aix, sem efeito do filtro. O uso do filtro foi associado com maior ventilação e reinalação de CO2. Outras variáveis pesquisadas como VE/VCO2 slope e VFC não sofreram influências entre os protocolos. Conclusão A poluição do ar afetou adversamente o desempenho cardiovascular de pacientes com IC. Este é o primeiro ensaio clínico demonstrando que um simples filtrorespiratório pode prevenir a disfunção endotelial, a intolerância ao exercício e o aumento do BNP associados à poluição em pacientes com IC. O uso de máscaras com filtro tem o potencial de reduzir a morbidade associada à IC. Identificador ClinicalTrials.gov: NCT01960920

Steric and mass-induced sea level variations in the Mediterranean Sea revisited

The total sea level variation (SLV) is the combination of steric and mass␣induced SLV, whose exact shares are key to understanding the oceanic response to climate system changes. Total SLV can be observed by radar altimetry satellites such as TOPEX/POSEIDON and Jason 1/2. The steric SLV can be computed through temperature and salinity profiles from in situ measurements or from ocean general circulation models (OGCM), which can assimilate the said observations. The mass-induced SLV can be estimated from its time-variable gravity (TVG) signals. We revisit this problem in the Mediterranean Sea estimating the observed, steric, and mass-induced SLV, for the latter we analyze the latest TVG data set from the GRACE (Gravity Recovery and Climate Experiment) satellite mission launched in 2002, which is 3.5 times longer than in previous studies, with the application of a two-stage anisotropic filter to reduce the noise in high-degree and -order spherical harmonic coefficients. We confirm that the intra-annual total SLV are only produced by water mass changes, a fact explained in the literature as a result of the wind field around the Gibraltar Strait. The steric SLV estimated from the residual of “altimetry minus GRACE” agrees in phase with that estimated from OGCMs and in situ measurements, although showing a higher amplitude. The net water fluxes through both the straits of Gibraltar and Sicily have also been estimated accordingly.

A novel information theory method for filter feature selection

In this paper, we propose a novel filter for feature selection. Such filter relies on the estimation of the mutual information between features and classes. We bypass the estimation of the probability density function with the aid of the entropic-graphs approximation of Rényi entropy, and the subsequent approximation of the Shannon one. The complexity of such bypassing process does not depend on the number of dimensions but on the number of patterns/samples, and thus the curse of dimensionality is circumvented. We show that it is then possible to outperform a greedy algorithm based on the maximal relevance and minimal redundancy criterion. We successfully test our method both in the contexts of image classification and microarray data classification.

Applying reactive models to column experiments to assess the hydrogeochemistry of seawater intrusion: optimising ACUAINTRUSION and selecting cation exchange coefficients with PHREEQC

Three sets of laboratory column experimental results concerning the hydrogeochemistry of seawater intrusion have been modelled using two codes: ACUAINTRUSION (Chemical Engineering Department, University of Alicante) and PHREEQC (U.S.G.S.). These reactive models utilise the hydrodynamic parameters determined using the ACUAINTRUSION TRANSPORT software and fit the chloride breakthrough curves perfectly. The ACUAINTRUSION code was improved, and the instabilities were studied relative to the discretisation. The relative square errors were obtained using different combinations of the spatial and temporal steps: the global error for the total experimental data and the partial error for each element. Good simulations for the three experiments were obtained using the ACUAINTRUSION software with slight variations in the selectivity coefficients for both sediments determined in batch experiments with fresh water. The cation exchange parameters included in ACUAINTRUSION are those reported by the Gapon convention with modified exponents for the Ca/Mg exchange. PHREEQC simulations performed using the Gains-Thomas convention were unsatisfactory, with the exchange coefficients from the database of PHREEQC (or range), but those determined with fresh water – natural sediment allowed only an approximation to be obtained. For the treated sediment, the adjusted exchange coefficients were determined to improve the simulation and are vastly different from those from the database of PHREEQC or batch experiment values; however, these values fall in an order similar to the others determined under dynamic conditions. Different cation concentrations were simulated using two different software packages; this disparity could be attributed to the defined selectivity coefficients that affect the gypsum equilibrium. Consequently, different calculated sulphate concentrations are obtained using each type of software; a smaller mismatch was predicted using ACUAINTRUSION. In general, the presented simulations by ACUAINTRUSION and PHREEQC produced similar results, making predictions consistent with the experimental data. However, the simulated results are not identical to the experimental data; sulphate (total S) is overpredicted by both models, most likely due to such factors as the kinetics of gypsum, the possible variations in the exchange coefficients due to salinity and the neglect of other processes.

On the decorrelation filtering of RL05 GRACE data for global applications

In autumn 2012, the new release 05 (RL05) of monthly geopotencial spherical harmonics Stokes coefficients (SC) from GRACE (Gravity Recovery and Climate Experiment) mission was published. This release reduces the noise in high degree and order SC, but they still need to be filtered. One of the most common filtering processing is the combination of decorrelation and Gaussian filters. Both of them are parameters dependent and must be tuned by the users. Previous studies have analyzed the parameters choice for the RL05 GRACE data for oceanic applications, and for RL04 data for global application. This study updates the latter for RL05 data extending the statistics analysis. The choice of the parameters of the decorrelation filter has been optimized to: (1) balance the noise reduction and the geophysical signal attenuation produced by the filtering process; (2) minimize the differences between GRACE and model-based data; (3) maximize the ratio of variability between continents and oceans. The Gaussian filter has been optimized following the latter criteria. Besides, an anisotropic filter, the fan filter, has been analyzed as an alternative to the Gauss filter, producing better statistics.

Stability in Linear Optimization Under Perturbations of the Left-Hand Side Coefficients

This paper studies stability properties of linear optimization problems with finitely many variables and an arbitrary number of constraints, when only left hand side coefficients can be perturbed. The coefficients of the constraints are assumed to be continuous functions with respect to an index which ranges on certain compact Hausdorff topological space, and these properties are preserved by the admissible perturbations. More in detail, the paper analyzes the continuity properties of the feasible set, the optimal set and the optimal value, as well as the preservation of desirable properties (boundedness, uniqueness) of the feasible and of the optimal sets, under sufficiently small perturbations.

Determination of octanol/water distribution coefficients, water solubilities, and sediment/water partition coefficients for hydrophobic organic pollutants /

Mode of access: Internet.

The coupled trickling filter-activated sludge process : design and performance /

Mode of access: Internet.

Report on tests of welding filter plates /

Mode of access: Internet.

Fine solids removal following combined chemical-trickling filter treatment /

Mode of access: Internet.