Nb as an influential element for increasing the CO tolerance of PEMFC catalysts

Platinum–niobium catalysts were prepared as candidates for CO tolerant anode catalysts for low and high temperature PEM fuel cells (PEMFCs). Three different compositions were prepared by the formic acid method, from platinum (hexachloroplatinic acid) and niobium (niobium chloride) precursors on Vulcan XC-72R carbon black. Deposition of the niobium was found to be quite difficult, and only a fraction of the desired composition was achieved. Mean particle sizes were all in the nanometric range, between 2 and 3 nm. Diffraction patterns display neither insertion of niobium within the crystalline structure of platinum, nor any crystalline phase associated to that material. Nevertheless, the presence of Nb displays a noticeable effect on the CO tolerance of the catalyst firstly revealed by a reduction of the CO stripping onset potential. Fuel cell results, operating with Nafion^® at low temperature (80 °C) and H₂ + 100 ppm of CO as fuel, and with H₃PO₄-doped ABPBI, at high temperature (150 °C) and H₂ + 20,000 ppm of CO, display an enhancement in the performance compared to pure platinum, so niobium may be an interesting material for increasing the tolerance to carbon monoxide in PEMFC. Finally, CO/O₂ polarisation curves display a decrease in the current density in the presence of Nb, confirming that the enhanced CO tolerance can be attributed to a strong electronic effect that weakens the Pt–CO adsorption strength.     

The aminopeptidase C (PepC) from Lactobacillus helveticus CNRZ32. A comparative study of PepC from lactic acid bacteria

 The aminopeptidase C (PepC) of Lactobacillus helveticus CNRZ32 was purified by anion exchange chromatography from cell free extracts of an E. coli DH5α clone overexpressing the Lactobacillus aminopeptidase. PepC was found to have a tetrameric structure in its native form with subunits of 50 kDa each, a pH optimum of 6.5 and maximum activity at 45  °C. Sulfhydryl-blocking reagents inhibited the enzyme activity whereas reducing or metal chelating reagents had an activating effect on the PepC activity. The PepC hydrolyzed a wide range of p-nitroaniline derivatives, dipeptides and several tripeptides which contained basic amino acids (Arg, Lys), Pro residues, or cheese flavour precursor amino acids (Met, Leu, Phe) at the N-terminal position. The substrate specificity and residual activity of PepC from several lactic acid bacteria, including the PepC described above, were compared at conditions of pH and NaCl present in cheese. Received: 25 February 2000     

Pd@Al2O3‐Catalyzed Hydrogenation of Allylbenzene to Propylbenzene in Methanol and Aqueous Micellar Solutions

The palladium on alumina (Pd@Al₂O₃)‐catalyzed hydrogenation of allylbenzene to propylbenzene was studied in methanol and aqueous micellar solutions of sodium dodecyl sulfate (SDS), decyltrimethylammonium bromide (DTAB), and t‐octylphenoxypolyethoxyethanol (TX‐100). Over Pd@Al₂O₃, propylbenzene was obtained via direct hydrogenation of allylbenzene and isomerization to β‐methylstyrene which was hydrogenated afterwards. In aqueous micellar solutions, the reaction was faster than in pure water, but slower than in methanol due to lower hydrogen solubility. In the H₂O/SDS system, a higher activation energy was obtained than in methanol. For the investigated surfactants, the initial reaction rate in the micellar systems decreased in the order SDS > TX‐100 > DTAB.     

Finding resonant frequencies for high loss dielectrics in cylindrical cavities

This article proposes the use of argument principle method (APM) to find all complex resonant frequencies in a three layer cylindrical cavity. APM guarantees that no root is lost and frequencies can be associated with the resonant mode. The roots can be used to find permittivity of a material inside a cavity. © 2015 Wiley Periodicals, Inc. Int J RF and Microwave CAE 25:530–535, 2015.     

The Role of HPA Axis and Allopregnanolone on the Neurobiology of Major Depressive Disorders and PTSD

Under stressful conditions, the hypothalamic-pituitary-adrenal (HPA) axis acts to promote transitory physiological adaptations that are often resolved after the stressful stimulus is no longer present. In addition to corticosteroids (e.g., cortisol), the neurosteroid allopregnanolone (3α,5α-tetrahydroprogesterone, 3α-hydroxy-5α-pregnan-20-one) participates in negative feedback mechanisms that restore homeostasis. Chronic, repeated exposure to stress impairs the responsivity of the HPA axis and dampens allopregnanolone levels, participating in the etiopathology of psychiatric disorders, such as major depressive disorder (MDD) and post-traumatic stress disorder (PTSD). MDD and PTSD patients present abnormalities in the HPA axis regulation, such as altered cortisol levels or failure to suppress cortisol release in the dexamethasone suppression test. Herein, we review the neurophysiological role of allopregnanolone both as a potent and positive GABAergic neuromodulator but also in its capacity of inhibiting the HPA axis. The allopregnanolone function in the mechanisms that recapitulate stress-induced pathophysiology, including MDD and PTSD, and its potential as both a treatment target and as a biomarker for these disorders is discussed.     

Diel variation of limnological parameters in a reservoir in northeastern Brazil (Boa Esperança, Maranhão/Piauí): Rainy period

The diel variation of limnological parameters, measured in Boa Esperança Reservoir, Brazil during the rainy period, exhibited small temperature gradients characterized by an increase in temperature by midday, followed by a partial homogenization of the water column in the night and the early morning. The result was an increase in the epilimnion to a depth of 17 m. The pH and dissolved oxygen concentrations showed higher values at the surface, with the occurrence of anomalies (concentrations higher than at the surface) of the latter variable in the epilimnion, probably as a result of the activity of primary producers and/or losses of oxygen to the atmosphere. The chemical forms of iron in the reservoir exhibited increasing concentrations with depth, as a result of an increase in the concentration of seston and/or accentuated reduction of the levels of oxygen in the bottom layers. The reduction of Fe³⁺ to Fe²⁺ in the bottom water layers in the reservoir, in addition to the primary production process in the epilimnion, could explain the increased phosphorus in the bottom water layer. The concentrations of nitrogen compounds did not exhibit relevant changes or a defined evolution profile, except for nitrate, which showed an outstanding increase in the bottom water layers, suggesting it could be an important nitrogen source for primary producers. Although not unequivocal, these data suggest that ecosystem instability in Boa Esperança Reservoir is the product of short diel thermal variations, and the reduced input of allochthonous materials and nutrients from local catchment. These conditions guarantee the oligotrophic status of Boa Esperança Reservoir for the present time.     

Defining amplifier’s gain to maximize the transmission rate in optical systems using evolutionary algorithms and swarm intelligence

Optical networks are currently the only technology capable of providing extremely high data transmission rates. Because of this, systems must be increasingly efficient and immune to failures. One way to improve network efficiency is to use dynamic approaches like Adaptive Control of Operating Point, which consists of autonomously choosing the best operating point for optical amplifiers on the link, thus providing the best configuration concerning Quality of transmission. Unlike the previous works that focused on optimizing Optical Signal-To-Noise Ratio, our proposal and analysis are focused on maximizing the transmission rate. In this paper, we compare the results obtained by five different and widely used evolutionary and swarm-based algorithms in the search for maximizing the transmission rate in optical links. We have observed that the differential evolution provided the best results in the analyzed scenarios.