Wigner distribution for random systems

We use the Wigner distribution to study systems subjected to random forces. We define the instantaneous spectrum as the ensemble average of the Wigner distribution, and we write the differential equation whose solution gives us the time-varying spectrum of the state variable. We consider the cases of both constant and time-varying coefficients. We apply the method to study the instantaneous spectrum of a harmonic oscillator driven by Gaussian noise, with both constant and time-varying coefficients. In the latter case our method clearly reveals the nonstationarity of the power spectrum and we confirm our result by numerical simulations.     

Understanding degradation of phenolic compounds during olive oil processing by inhibitor addition

The aim of this work was to study, under different conditions, degradation of secoiridoids during extraction of extra virgin olive oil by following the effect of ascorbic and citric acid addition. Their effect was evaluated on oil obtained from both damaged olives and undamaged fresh olives. Addition of enzyme inhibitors to damaged olives during olive milling allowed us to obtain oil with a higher phenolic compound content. Conversely, addition of the same inhibitors to undamaged fresh olives, during oil milling, resulted in no significant improvement in the phenolic compound content of oil. A high presence of PPO was thus indirectly confirmed, as damaged olives were only found to be sensitive to action of inhibitors. Ascorbic acid was found to be more effective than citric acid in preserving phenolic compounds of oil. Trials on undamaged fresh olives confirmed occurrence of hydrolytic transformation phenomena for secoiridoids during extra virgin olive oil production process. In particular, the quantitatively most representative component for Frantoio cultivar was found to be 3,4‐DHPEA‐EDA. This compound may be considered a direct marker for the degree of transformation of secoiridoids during production process. Practical applications: The processing of undamaged olives resulted in the extraction of extra virgin olive oil with a higher phenol content. It could be indirectly inferred that a reduced activity of PPO caused a low secoiridoid degradation both before and after malaxation. Lightly scratched, overripe olives could be used in those markets where the addition of oxidation‐inhibiting substances is allowed. Using inhibitors can be suggested for olive washing step.     

Cationic photocured epoxy nanocomposites filled with different carbon fillers

In this work, the effect of several carbon fillers, exfoliated graphite (EG), functionalized graphene sheets (FGS), multi-walled carbon nanotubes (MWCNTs), and oxidized multi-walled carbon nanotubes (f-MWCNTs), were compared on the curing process and physical properties of a cationically photocurable epoxy resin. The extent of the photopolymerization was monitored by Real-Time FTIR spectroscopy. It was found that all the nanofillers delayed the curing reaction probably due to a shielding effect as well as to an increase of the resin viscosity. All the systems showed an electrical percolation threshold, but with MWCNTs was attained at a lower concentration (<0.1 wt.%). In addition, FGS showed the best response in terms of the dynamic mechanical and microindentation performances. An increase of more than 20 °C in the glass transition temperature was observed with the addition of 1 wt.% of FGS.     

Rheological analysis of emulsion-filled gels based on high acyl gellan gum

Emulsion-filled gels are widely used in cosmetic, food, and pharmaceutical industry. As rheological properties of these systems are strongly dependent on the properties of the gelled polymer network, rheological characteristics of gels containing high and low acyl gellan gum were analyzed. Under the processing conditions low acyl emulsions were unstable, thus in the present work the influence of oil and hydrocolloid concentrations on the viscoelastic behavior of emulsion-filled gels containing high acyl gellan gum was studied. Increasing gellan concentration (from 0.1 g/100 g to 0.5 g/100 g) produced stronger gels, while oil fraction (10 g/100 g–30 g/100 g) slightly affected the elastic behavior of the emulsions reinforcing the structure and the elastic characteristics of the gellan matrix. Sauter diameter (d₃₂) was measured for all emulsions and an average value of 12 μm was obtained. Rheological data (oscillatory and creep–recovery tests) were successfully modeled to interpret the structural characteristics of the gelled emulsions. The broadened Baumgaertel–Schausberger–Winter spectrum was used to represent the linear viscoelastic behavior of the continuous phase and the emulsified system, showing that the rheological behavior of the systems was controlled by the highly structured continuous phase rather than the contribution of filler lipid droplet in the emulsion. Relaxation spectra were validated using creep–recovery experiments. Regardless of hydrocolloid concentration, creep compliance of the gel emulsions decreased compared with their respective gels, showing that the inclusion of oil droplets produced a reinforcement of the structure and the gel strength of the matrix.     

In Vitro Antioxidant and Antimicrobial Activities of Spanish Honeys

Sixty-seven Spanish honeys from different floral origins, nectars and honeydews, were examined for potential antimicrobial and antioxidant activities. Antioxidant capacities were determined in terms of their antiradical capacity using the stable free radical DPPH?. The bacterial species Micrococcus luteus and Staphylococcus aureus were used as the resistant microorganism in the antibacterial assays. The results showed that honeydew honeys presented higher antioxidant capacities than nectar honeys. On the other hand, honey capacity to inhibit Micrococcus luteus and Staphylococcus aureus was firstly evaluated by an agar diffusion method. Secondly, the active samples were tested with a spectrophotometic method to quantify their “non-peroxide” antimicrobial capacity to inhibit Staphylococcus aureus . We did not observed any relationship between the physicochemical parameters of the samples, and their ability to inhibit these microorganisms. The results obtained by the spectrophotometric method show that this method is easy and useful in the evaluation of the antibacterial capacity of honeys.     

Self-adapted algorithm to provide multi-profile bandwidth guarantees in PONs with symmetric and asymmetric traffic load

A novel bandwidth assignment algorithm in Ethernet Passive Optical Networks with different coverage, called DySGAB, is proposed to provide subscriber differentiation. In contrast to algorithms which allocate bandwidth based on fixed weighted factors, DySGAB continuously adapts the bandwidth assignation to fulfill the requirements of all profiles, leading to an outstanding performance. This auto-adjustment, which has not been implemented in any of today??s algorithms, allows the network to evolve automatically to the stipulated values even if they change in real time. As a result, not only does DySGAB ensure the guaranteed bandwidth for every subscriber, but also is independent of the initial bandwidth restrictions, which is an advantageous characteristic for service providers.     

Adaptive polling algorithm to provide subscriber and service differentiation in a Long-Reach EPON

A novel interleaved polling algorithm for Long-Reach EPONs is proposed in order to simultaneously provide subscriber and class of service differentiation. It is demonstrated that the new polling algorithm applied to a typical 100 km Long-Reach EPON performs better than centralized methods, where bandwidth prediction is needed to overcome the higher round trip time in which ONUs cannot transmit. As polling methods in Long-Reach EPONs do not require prediction, they are much simpler and show less computational complexity than centralized schemes, avoiding the inaccuracy of bandwidth prediction. Simulation results show that the new algorithm increases the achieved throughput when compared to centralized algorithms with traffic prediction, obtaining a significant reduction of both mean packet delay and packet loss ratio for the highest priority service level profiles.     

Model-based energy optimisation of a small-scale decentralised membrane bioreactor for urban reuse

The energy consumption of a small-scale membrane bioreactor, treating high strength domestic wastewater for community level wastewater recycling, has been optimised using a dynamic model of the plant. ASM2d was chosen as biological process model to account for the presence of phosphate accumulating organisms. A tracer test was carried out to determine the hydraulic behaviour of the plant. To realistically simulate the aeration demand, a dedicated aeration model was used incorporating the dependency of the oxygen transfer on the mixed liquor concentration and allowing differentiation between coarse and fine bubble aeration, both typically present in MBRs. A steady state and dynamic calibration was performed, and the calibrated model was able to predict effluent nutrient concentrations and MLSS concentrations accurately. A scenario analysis (SCA) was carried out using the calibrated model to simulate the effect of varying SRT, recirculation ratio and DO set point on effluent quality, MLSS concentrations and aeration demand. Linking the model output with empirically derived correlations for energy consumption allowed an accurate prediction of the energy consumption. The SCA results showed that decreasing membrane aeration and SRT were most beneficial towards total energy consumption, while increasing the recirculation flow led to improved TN removal but at the same time also deterioration in TP removal. A validation of the model was performed by effectively applying better operational parameters to the plant. This resulted in a reduction in energy consumption by 23% without compromising effluent quality, as was accurately predicted by the model. This modelling approach thus allows the operating envelope to be reliably identified for meeting criteria based on energy demand and specific water quality determinants.     

Meat quality of "Galician Mountain" foals breed. Effect of sex, slaughter age and livestock production system

The effects of sex, slaughter age (9 vs. 12 months) and livestock production system (freedom extensive system (FES) vs. semi extensive system (SES)) of "Galician Mountain" foals breed on meat quality from the Longissimus dorsi (LD) muscle were investigated. Forty-two foals had been used for this study, 19 (11 females and 8 males) were reared in a semi extensive system and weaned three months prior to slaughtering (8 and 11 were slaughtered at 9 and 12 months, respectively) while the other 23 (11 females and 12 males) were reared together with its mothers in a system in freedom and were slaughtered at the age of 9 months. The obtained results showed that there were no significant differences between the sexes and the slaughter age whereas the livestock production system was a significant variation source on intramuscular fat content and meat tenderness because SES foals showed 51.6% more of IMF and the improved meat tenderness achieved a shear force of <3 kg. In general, the meat from foals of the study at hand showed very lean meat (<0.3% in IMF) with a high protein content (>20.5%) and heme-iron (1.62 mg/100g meat) comparable to veal meat. Furthermore, the meat samples showed a higher luminosity (L*>40), a very good water holding capacity, measured by cooking losses (<18.3%), and a tenderness less than 4 kg. Thus, it can be classified as "very tender" meat.