Can we predict the fate of the Universe?

We re-analyze the question of the use of cosmological observations to infer the present state and future evolution of our patch of the universe. In particular, we discuss under which conditions one might be able to infer that our patch will enter an inflationary stage, as a prima facie interpretation of the Type Ia supernovae and CMB data would suggest. We then establish a `physical' criterion for the existence of inflation, to be contrasted with the more `mathematical' one recently proposed by Starkman et al. \cite{STV}.Comment: 10 LaTeX pages, 4 eps figures, version to appear in Phys. Lett.

Alternatives to Quintessence Model Building

We discuss the issue of toy model building for the dark energy component of the universe. Specifically, we consider two generic toy models recently proposed as alternatives to quintessence models, known as Cardassian expansion and the Chaplygin gas. We show that the former is enteriely equivalent to a class of quintessence models. We determine the observational constraints on the latter, coming from recent supernovae results and from the shape of the matter power spectrum. As expected, these restrict the model to a behaviour that closely matches that of a standard cosmological constant $\Lambda$.Comment: RevTex4; 7 pages, 4 figures. v2: Improved discussion of constraints on Chaplygin gas models. Other clarifications added. Phys Rev. D (in press

CMB constraints on spatial variations of the vacuum energy density

In a recent article, a simple `spherical bubble' toy model for a spatially varying vacuum energy density was introduced, and type Ia supernovae data was used to constrain it. Here we generalize the model to allow for the fact that we may not necessarily be at the centre of a region with a given set of cosmological parameters, and discuss the constraints on these models coming from Cosmic Microwave Background Radiation data. We find tight constraints on possible spatial variations of the vacuum energy density for any significant deviations from the centre of the bubble and we comment on the relevance of our results.Comment: Minor changes; to appear in Astroparticle Physic

IL-6 and TNF-alpha polymorphisms in portuguese psoriatic patients

Introduction: Cytokines regulate the growth, function and differentiation of cells and help to steer immune response and inflammation. In this study we focused our attention in two proinflammatory cytokines: IL-6 and TNFa. It is known that their overexpression is responsible for initiation, maintenance and recurrence of skin lesions in psoriatic patients. Therefore, it is important to investigate genetic biomarkers with functional effects in the genes of those cytokines that could help to predict the severity of Psoriasis. Objectives: To investigate the hypothesis that allelic variants in IL-6 and TNF-a genes are a risk factor for the developing of severe Psoriasis. Materials and Methods: A cohort of 178 (74 females, 104 males) psoriatic patients with severe plaque type psoriasis [according to the Psoriasis Area and Severity Index (PASI)] and 206 healthy individuals were selected. Several polymorphisms in the IL-6 gene (rs1800795, rs1800796, rs2069827, rs2069840) and TNF-a (rs361525, rs1799964, rs1800629) promoter region were genotyped. SNP genotyping was performed using Mass Spectrometry (MassARRAY iPLEX–Sequenom). Results: We observed a lower frequency in the minor allele (C) of the TNFa rs1799964 SNP in psoriatic patients, compared with controls [(21.9% vs. 29.4%), p = 0.02, OR = 0.675 (0.49–0.94)]. The frequency of the CC genotype in patients was 3.93% while in the healthy control group it was 9.22% [(p = 0.04, OR = 0.403 (0.17–0.98)]. No statistical significant differences were found in the other polymorphisms. Conclusion: Our data suggest that the rs1799964 C allele could be a protective factor for developing severe psoriasis. These results were similar to the findings of Gallo et al (2012) in a Spanish population. The mechanism to explain this association remains elusive, given the lack of evidence of a functional association

NEW SEISMIC SOURCE ZONE MODEL FOR PORTUGAL AND AZORES

The development of seismogenic source models is one of the first steps in seismic hazard assessment. In seismic hazard terminology, seismic source zones (SSZ) are polygons (or volumes) that delineate areas with homogeneous characteristics of seismicity. The importance of using knowledge on geology, seismicity and tectonics in the definition of source zones has been recognized for a long time [1]. However, the definition of SSZ tends to be subjective and controversial. Using SSZ based on broad geology, by spreading the seismicity clusters throughout the areal extent of a zone, provides a way to account for possible long-term non-stationary seismicity behavior [2,3]. This approach effectively increases seismicity rates in regions with no significant historical or instrumental seismicity, while decreasing seismicity rates in regions that display higher rates of seismicity. In contrast, the use of SSZ based on concentrations of seismicity or spatial smoothing results in stationary behavior [4]. In the FP7 Project SHARE (Seismic Hazard Harmonization in Europe), seismic hazard will be assessed with a logic tree approach that allows for three types of branches for seismicity models: a) smoothed seismicity, b) SSZ, c) SSZ and faults. In this context, a large-scale zonation model for use in the smoothed seismicity branch, and a new consensus SSZ model for Portugal and Azores have been developed. The new models were achieved with the participation of regional experts by combining and adapting existing models and incorporating new regional knowledge of the earthquake potential. The main criteria used for delineating the SSZ include distribution of seismicity, broad geological architecture, crustal characteristics (oceanic versus continental, tectonically active versus stable, etc.), historical catalogue completeness, and the characteristics of active or potentially-active faults. This model will be integrated into an Iberian model of SSZ to be used in the Project SHARE seismic hazard assessment

Effect of boron, molybdenum and zinc when applied as coatings on seeds of soybeans (Glycine max (L.) Merril) with respect to symbiotic nitrogen fixation

Foram executados dois experimentos em casa de vegetação, sendo que no primeiro foram estudados diferentes revestimentos de sementes de soja, com carbonato de cálcio, fosforita e fosfato de cálcio. Além dos três tratamentos foram introduzidos três outros, sendo o primeiro de revestimento da semente com fosfato de cálcio recebendo o solo boro, molibdênio e magnésio; o segundo, o solo além dos micronutrientes já citados, recebeu também calagem com carbonato de cálcio; e o terceiro, testemunha (sem revestimento). Todos os tratamentos competiram com e sem inoculação. No segundo experimento, estudaram-se os seguintes revestimentos: com carbonato de cálcio, com fosforita e um terceiro com 50% de fosforita mais 50% de calcário dolomítico. Cada um dos revestimentos foi combinado com boro, molibdênio e zinco num fatorial de 23. Ambos os experimentos foram executados em dois solos, um "Cray" Hidromórfico da Série Ecologia e outro Podzólico Vermelho Amarelo da Série Itaguaí, representativos da área do Instituto de Pesquisas e Experimentação Agropecuárias do Centro-Sul (IPEACS). Em linhas gerais, o presente trabalho revelou eficiência dos tratamentos de revestimento de semente para nodulação e fixação simbiótica do nitrogênio atmosférico. Os tratamentos de revestimento da semente reagiram com a inoculação. O melhor revestimento foi o de fosforita para nodulação, peso seco dos nódulos e peso seco de 100 nódulos e também para o desenvolvimento da planta (peso seco) e nitrogênio total fixado. O revestimento da semente com carbonato de cálcio apresentou maior teor de nitrogênio fixado na planta N%). O solo da Série Ecologia foi o que revelou maiores reações para os diferentes objetivos pesquisados. O molibdênio, quando aplicado nos diferentes revestimentos, foi altamente eficiente para a fixação simbiótica do N na planta o quando aplicado junto à fosforita mostrou, também, eficiência para o desenvolvimento da planta.Two greenhouse experiments were conducted to study the effects of minor elements and rhizobia inoculants when applied as coatings on seeds of soybeans, i.e. "pelleting". In the first experiment calcium carbonate, "fosforita" (rock phophate), calcium phosphate and calcium phosphate with minor elements (B, Mo, Mg), respectively, were applied in pellet coatings. These three coating treatments were compared with plants growing in soil treated with calcium carbonate and micro-nutrients (B, Mo, Mg) and plants grown on soil having no added minor elements, respectively. All treatments were studied with and without the use of Rhizobium inoculation. A second experiment compared pelleting with calcium carbonate, "fosforita" and a half-and-half mixture of "fosforita" and dolomitic limestone. Each of these 3 treatments were combined with the minor elements Boron, Molybdenum and Zinc in a 23 factorial. Both experiments were carried out on two soils, a Gray Hydromorphic soil of the "Ecologia" series and on a Red Yellow Podzolic of the "Itaguaí" series, both of which are represented at the IPEACS. In general terms, the present work showed that the seed coating treatments were effective in increasing nodulation and symbiotic nitrogen fixation. In terms of effect on nodulation, total nitrogen fixe I and dry weight of plants, "fosforita" was the better of the pellet treatments. The pellet treatment with calcium carbonate produced the higher content of nitrogen in the plants. Treatment effects obtained were greater on the "Ecologia" series than on the "ltaguaí" soil series. All seed coatings containing Molybdenum increased the nitrogen content of the plant through improved symbiotic fixation. When Molybdenum was applied in combination with "fosforita" the dry-weight of plants was increased

The Role of Baryons in Unified Dark Matter Models

We discuss the importance of including baryons in analyses of unified dark matter scenarios, focusing on toy models involving a generalized Chaplygin gas. We determine observational constraints on this unified dark matter scenario coming from large scale structure, type Ia Supernovae and CMB data showing how this component can bring about a different behaviour from classical $\Lambda$CDM and thus motivate further studies of this type of models. We also speculate on interesting new features which are likely to be important on non-linear scales in this context.Comment: 4 pages, 3 figures. Final version (with typos corrected and a reference added), to appear in Phys Rev D (Rapid Communications

A bacteriophage detection tool for viability assessment of Salmonella cells

Available online 7 September 2013Salmonellosis, one of the most common food and water-borne diseases, has a major global health and economic impact. Salmonella cells present high infection rates, persistence over inauspicious conditions and the potential to preserve virulence in dormant states when cells are viable but non-culturable (VBNC). These facts are challenging for current detection methods. Culture methods lack the capacity to detect VBNC cells, while biomolecular methods (e.g. DNA- or protein-based) hardly distinguish between dead innocuous cells and their viable lethal counterparts. This work presents and validates a novel bacteriophage (phage)-based microbial detection tool to detect and assess Salmonella viability. Salmonella Enteritidis cells in a VBNC physiological state were evaluated by cell culture, flow-cytometry and epifluorescence microscopy, and further assayed with a biosensor platform. Free PVP-SE1 phages in solution showed the ability to recognize VBNC cells, with no lysis induction, in contrast to the minor recognition of heat-killed cells. This ability was confirmed for immobilized phages on gold surfaces, where the phage detection signal follows the same trend of the concentration of viable plus VBNC cells in the sample. The phage probe was then tested in a magnetoresistive biosensor platform allowing the quantitative detection and discrimination of viable and VBNC cells from dead cells, with high sensitivity. Signals arising from 3 to 4 cells per sensor were recorded. In comparison to a polyclonal antibody that does not distinguish viable from dead cells, the phage selectivity in cell recognition minimizes false-negative and false-positive results often associated with most detection methods

Incorporating Descriptive Metadata into Seismic Source Zone Models for Seismic Hazard Assessment: A case study of the Azores-West Iberian region

In probabilistic seismic-hazard analysis (PSHA), seismic source zone (SSZ) models are widely used to account for the contribution to the hazard from earth- quakes not directly correlated with geological structures. Notwithstanding the impact of SSZ models in PSHA, the theoretical framework underlying SSZ models and the criteria used to delineate the SSZs are seldom explicitly stated and suitably docu- mented. In this paper, we propose a methodological framework to develop and docu- ment SSZ models, which includes (1) an assessment of the appropriate scale and degree of stationarity, (2) an assessment of seismicity catalog completeness-related issues, and (3) an evaluation and credibility ranking of physical criteria used to delin- eate the boundaries of the SSZs. We also emphasize the need for SSZ models to be supported by a comprehensive set of metadata documenting both the unique character- istics of each SSZ and the criteria used to delineate its boundaries. This procedure ensures that the uncertainties in the model can be properly addressed in the PSHA and that the model can be easily updated whenever new data are available. The pro- posed methodology is illustrated using the SSZ model developed for the Azores–West Iberian region in the context of the Seismic Hazard Harmonization in Europe project (project SHARE) and some of the most relevant SSZs are discussed in detail

About Bianchi I with VSL

In this paper we study how to attack, through different techniques, a perfect fluid Bianchi I model with variable G,c and Lambda, but taking into account the effects of a $c$-variable into the curvature tensor. We study the model under the assumption,div(T)=0. These tactics are: Lie groups method (LM), imposing a particular symmetry, self-similarity (SS), matter collineations (MC) and kinematical self-similarity (KSS). We compare both tactics since they are quite similar (symmetry principles). We arrive to the conclusion that the LM is too restrictive and brings us to get only the flat FRW solution. The SS, MC and KSS approaches bring us to obtain all the quantities depending on \int c(t)dt. Therefore, in order to study their behavior we impose some physical restrictions like for example the condition q<0 (accelerating universe). In this way we find that $c$ is a growing time function and Lambda is a decreasing time function whose sing depends on the equation of state, w, while the exponents of the scale factor must satisfy the conditions $\sum_{i=1}^{3}\alpha_{i}=1$ and $\sum_{i=1}^{3}\alpha_{i}^{2}<1,$ $\forall\omega$, i.e. for all equation of state$,$ relaxing in this way the Kasner conditions. The behavior of $G$ depends on two parameters, the equation of state $\omega$ and $\epsilon,$ a parameter that controls the behavior of $c(t),$ therefore $G$ may be growing or decreasing.We also show that through the Lie method, there is no difference between to study the field equations under the assumption of a $c-$var affecting to the curvature tensor which the other one where it is not considered such effects.Nevertheless, it is essential to consider such effects in the cases studied under the SS, MC, and KSS hypotheses.Comment: 29 pages, Revtex4, Accepted for publication in Astrophysics & Space Scienc