Exploring the potential of novel biomixtures and Lentinula edodes fungus for the degradation of selected pesticides. Evaluation for use in biobed systems

An approach to reduce the contamination of water sourceswith pesticides is the use of biopurificaction systems. The active core of these systems is the biomixture. The composition of biomixtures depends on the availability of local agro-industrial wastes and design should be adapted to every region. In Portugal, cork processing is generally regarded as environmentally friendly and would be interesting to find applications for its industry residues. In this work the potential use of different substrates in biomixtures, as cork (CBX); cork and straw, coat pine and LECA (Light Expanded Clay Aggregates), was tested on the degradation of terbuthylazine, difenoconazole, diflufenican and pendimethalin pesticides. Bioaugmentation strategies using the white-rot fungus Lentinula edodes inoculated into the CBX, was also assessed. The results obtained from this study clearly demonstrated the relevance of using natural biosorbents as cork residues to increase the capacity of pesticide dissipation in biomixtures for establishing biobeds. Furthermore, higher degradation of all the pesticides was achieved by use of bioaugmented biomixtures. Indeed, the biomixtures inoculated with L. edodes EL1were able to mineralize the selected xenobiotics, revelling that these white-rot fungi might be a suitable fungus for being used as inoculum sources in on-farm sustainable biopurification system, in order to increase its degradation efficiency. After 120 days, maximum degradation of terbuthylazine, difenoconazole, diflufenican and pendimethalin, of bioaugmented CBX, was 89.9%, 75.0%, 65.0% and 99.4%, respectively. The dominant metabolic route of terbuthylazine in biomixtures inoculated with L. edodes EL1 proceeded mainly via hydroxylation, towards production of terbuthylazine-hydroxy-2 metabolite. Finally, sorption process to cork by pesticides proved to be a reversible process,working cork as a mitigating factor reducing the toxicity to microorganisms in the biomixture, especially in the early stages.

About a Vanishing Viscosity-Capillarity Method

We consider a class of nonlinear dissipative-dispersive perturbations of the scalar conservation law @tu + div f (u) = 01 and we study the convergence of the approximated solutions to its entropy solution. In particular, we obtain conditions under which the balance between dissipation and dispersion gives rise to the convergence (by DiPerna's measure-valued solution technique).

Numerical Simulations of Fog Events in Southern Portugal

This work aims at improving the knowledge on fog formation and its evolution in the Alentejo region (Portugal). For this purpose, brief regional fog climatology, essentially based on information from the Beja Air Base meteorological station, was produced and several numerical high resolution simulations were performed using the Meso-NH. The ECOCLIMAP database used to generate the model physiography was improved to include the Alqueva reservoir (~250 km2), filled in 2003. The model results were compared with surface and satellite observations, showing good agreement in terms of fog occurrence and persistence. Various forcing mechanisms for formation, development, and dissipation of fog were identified, confirming the influence of two small mountains that block the moist air from the Atlantic Ocean, preventing the fog from reaching innermost regions. The introduction of the Alqueva large reservoir induces changes in the landscape and environment. The effects of the water vapour addition and of the changes in mass and energy surface fluxes on fog formation and evolution were studied. It was found that the reservoir may have a direct impact on fog formation over the lake and its vicinity. Depending on the large scale meteorological conditions, their influence can be both positive and negative, in terms of spatial coverage and temporal persistence.

Scalar turbulent behavior in the roughness sublayer of an Amazonian forest.

An important current problem in micrometeorology is the characterization of turbulence in the roughness sublayer (RSL), where most of the measurements above tall forests are made. There, scalar turbulent fluctuations display significant departures from the predictions of Monin?Obukhov similarity theory (MOST). In this work, we analyze turbulence data of virtual temperature, carbon dioxide, and water vapor in the RSL above an Amazonian forest (with a canopy height of 40 m), measured at 39.4 and 81.6 m above the ground under unstable conditions. We found that dimensionless statistics related to the rate of dissipation of turbulence kinetic energy (TKE) and the scalar variance display significant departures from MOST as expected, whereas the vertical velocity variance follows MOST much more closely. Much better agreement between the dimensionless statistics with the Obukhov similarity variable, however, was found for the subset of measurements made at a low zenith angle Z, in the range 0°  <  |Z|  <  20°. We conjecture that this improvement is due to the relationship between sunlight incidence and the ?activation?deactivation? of scalar sinks and sources vertically distributed in the forest. Finally, we evaluated the relaxation coefficient of relaxed eddy accumulation: it is also affected by zenith angle, with considerable improvement in the range 0°  <  |Z|  <  20°, and its values fall within the range reported in the literature for the unstable surface layer. In general, our results indicate the possibility of better stability-derived flux estimates for low zenith angle ranges.

Scalar turbulent behavior in the roughness sublayer of an Amazonian forest.

An important current problem in micrometeorology is the characterization of turbulence in the roughness sublayer (RSL), where most of the measurements above tall forests are made. There, scalar turbulent fluctuations display significant departures from the predictions of Monin?Obukhov similarity theory (MOST). In this work, we analyze turbulence data of virtual temperature, carbon dioxide, and water vapor in the RSL above an Amazonian forest (with a canopy height of 40?m), measured at 39.4 and 81.6?m above the ground under unstable conditions. We found that dimensionless statistics related to the rate of dissipation of turbulence kinetic energy (TKE) and the scalar variance display significant departures from MOST as expected, whereas the vertical velocity variance follows MOST much more closely. Much better agreement between the dimensionless statistics with the Obukhov similarity variable, however, was found for the subset of measurements made at a low zenith angle Z, in the range 0°??

Statistical Analysis and Modelling Aspects of Thermally Driven Turbulence

The present work aims to provide a deeper understanding of thermally driven turbulence and to address some modelling aspects related to the physics of the flow. For this purpose, two idealized systems are investigated by Direct Numerical Simulation: the rotating and non-rotating Rayleigh-Bénard convection. The preliminary study of the flow topologies shows how the coherent structures organise into different patterns depending on the rotation rate. From a statistical perspective, the analysis of the turbulent kinetic energy and temperature variance budgets allows to identify the flow regions where the production, the transport, and the dissipation of turbulent fluctuations occur. To provide a multi-scale description of the flows, a theoretical framework based on the Kolmogorov and Yaglom equations is applied for the first time to the Rayleigh-Bénard convection. The analysis shows how the spatial inhomogeneity modulates the dynamics at different scales and wall-distances. Inside the core of the flow, the space of scales can be divided into an inhomogeneity-dominated range at large scales, an inertial-like range at intermediate scales and a dissipative range at small scales. This classic scenario breaks close to the walls, where the inhomogeneous mechanisms and the viscous/diffusive processes are important at every scale and entail more complex dynamics. The same theoretical framework is extended to the filtered velocity and temperature fields of non-rotating Rayleigh-Bénard convection. The analysis of the filtered Kolmogorov and Yaglom equations reveals the influence of the residual scales on the filtered dynamics both in physical and scale space, highlighting the effect of the relative position between the filter length and the crossover that separates the inhomogeneity-dominated range from the quasi-homogeneous range. The assessment of the filtered and residual physics results to be instrumental for the correct use of the existing Large-Eddy Simulation models and for the development of new ones.

Bioenergetics of cancer cells in anoxia and role of the miRNAs in melanoma resistance to targeted therapies

Tumours are characterized by a metabolic rewiring that helps transformed cells to survive in harsh conditions. The endogenous inhibitor of the ATP-synthase IF1 is overexpressed in several tumours and it has been proposed to drive metabolic adaptation. In ischemic normal-cells, IF1 acts limiting the ATP consumption by the reverse activity of the ATP-synthase, activated by ΔΨm collapse. Conversely, IF1 role in cancer cells is still unclear. It has been proposed that IF1 favours cancer survival by preventing energy dissipation in low oxygen availability, a frequent condition in solid tumours. Our previous data proved that in cancer cells hypoxia does not abolish ΔΨm, avoiding the ATP-synthase reversal and IF1 activation. In this study, we investigated the bioenergetics of cancer cells in conditions mimicking anoxia to evaluate the possible role of IF1. Data obtained indicate that also in cancer cells the ΔΨm collapse induces the ATP-synthase reversal and its inhibition by IF1. Moreover, we demonstrated that upon uncoupling conditions, IF1 favours cancer cells growth preserving ATP levels and energy charge. We also showed that in these conditions IF1 favours the mitochondrial mass renewal, a mechanism we proposed driving apoptosis-resistance. Cancer adaptability is also associated with the onset of therapy resistance, the major challenge for melanoma treatment. Recent studies demonstrated that miRNAs dysregulation drive melanoma progression and drug-resistance by regulating tumour-suppressor and oncogenes. In this context, we attempted to identify and characterize miRNAs driving resistance to vemurafenib in patient-derived metastatic melanoma cells BRAFV600E-mutated. Our results highlighted that several oncogenic pathways are altered in resistant cells, indicating the complexity of both drug-resistance phenomena and miRNAs action. Profiling analysis identified a group of dysregulated miRNAs conserved in vemurafenib-resistance cells from distinct patients, suggesting that they ubiquitously drive drug-resistance. Functional studies performed with a first miRNA confirmed its pivotal role in resistance towards vemurafenib.

Modulation of cancer energy metabolism: the role of the ATPase inhibitor factor 1 (IF1) in the bioenergetics of cancer cells experiencing oxygen deprivation

IF1, the endogenous inhibitor protein of mitochondrial F1Fo-ATPase, has raised interest in cancer research due to its overexpression in solid tumours compared to normal tissues. Physiologically, IF1 protects cells from energy depletion by limiting the ATP hydrolytic activity of ATP synthase triggered by mitochondrial depolarization caused by oxygen deficiency as it occurs during ischemic episodes. Considering both the physiological function of IF1 and that cancer cells in solid tumour are frequently exposed to oxygen deprivation, we hypothesized that IF1 overexpression represents a strategy that cancer cells develop to protect themselves from energy depletion under conditions of low oxygen availability. To assess this, we assayed the bioenergetic changes in 143B and HCT116 cancer cells with different metabolic features following stable silencing of IF1. Interestingly, we found that in both cell lines exposed to oxygen deprivation conditions the presence of IF1 limits the energy dissipation due to the activation of the ATP hydrolytic activity of ATP synthase. Furthermore, the analyses of cellular growth and viability revealed that the IF1 silencing inhibited proliferation in the highly glycolytic 143B cells, while it induced more than 50% of cellular death in HCT116 OXPHOS-dependent cells, indicating that the energetic advantage conferred by IF1 is essential for cancer cell proliferation or survival depending on the energy metabolism of each cell line. Moreover, under mitochondrial depolarization conditions, both mitophagy and mitochondrial biogenesis markers were found up-regulated in IF1-expressing cells only, thus indicating a continuous renewal and preservation of the mitochondrial mass. Taken together, our results sustain the idea that IF1 overexpression supports cancer cell adaptation to hypoxic or anoxic conditions also favouring the proliferation of re-oxygenated cells by promptly providing functional mitochondria.

Estimation of the ephemerides and gravity fields of the Galilean moons through orbit determination of the JUICE mission

Jupiter and its moons are a complex dynamical system that include several phenomenon like tides interactions, moon's librations and resonances. One of the most interesting characteristics of the Jovian system is the presence of the Laplace resonance, where the orbital periods of Ganymede, Europa and Io maintain a 4:2:1 ratio respectively. It is interesting to study the role of the Laplace Resonance in the dynamic of the system, especially regarding the dissipative nature of the tidal interaction between Jupiter and its closest moon, Io. Numerous theories have been proposed regarding the orbital evolution of the Galilean satellites, but they disagree about the amount of dissipation of the system, therefore about the magnitude and the direction of the evolution of the system, mainly because of the lack of experimental data. The future JUICE space mission is a great opportunity to solve this dispute. JUICE is an ESA (European Space Agency) L-class mission (the largest category of missions in the ESA Cosmic Vision) that, at the beginning of 2030, will be inserted in the Jovian system and that will perform several flybys of the Galilean satellites, with the exception of Io. Subsequently, during the last part of the mission, it will orbit around Ganymede for nine months, with a possible extension of the mission. The data that JUICE will collect during the mission will have an exceptional accuracy, allowing to investigate several aspects of the dynamics the system, especially, the evolution of Laplace Resonance of the Galilean moons and its stability. This thesis will focus on the JUICE mission, in particular in the gravity estimation and orbit reconstruction of the Galilean satellites during the Jovian orbital phase using radiometric data. This is accomplished through an orbit determination technique called multi-arc approach, using the JPL's orbit determination software MONTE (Mission-analysis, Operations and Navigation Tool-kit Environment).