Origin and ecological selection of core and food-specific bacterial communities associated with meat and seafood spoilage

The microbial spoilage of meat and seafood products with short shelf lives is responsible for a significant amount of food waste. Food spoilage is a very heterogeneous process, involving the growth of various, poorly characterized bacterial communities. In this study, we conducted 16S ribosomal RNA gene pyrosequencing on 160 samples of fresh and spoiled foods to comparatively explore the bacterial communities associated with four meat products and four seafood products that are among the most consumed food items in Europe. We show that fresh products are contaminated in part by a microbiota similar to that found on the skin and in the gut of animals. However, this animal-derived microbiota was less prevalent and less abundant than a core microbiota, psychrotrophic in nature, mainly originated from the environment (water reservoirs). We clearly show that this core community found on meat and seafood products is the main reservoir of spoilage bacteria. We also show that storage conditions exert strong selective pressure on the initial microbiota: alpha diversity in fresh samples was 189 +/- 58 operational taxonomic units (OTUs) but dropped to 27 +/- 12 OTUs in spoiled samples. The OTU assemblage associated with spoilage was shaped by low storage temperatures, packaging and the nutritional value of the food matrix itself. These factors presumably act in tandem without any hierarchical pattern. Most notably, we were also able to identify putative new clades of dominant, previously undescribed bacteria occurring on spoiled seafood, a finding that emphasizes the importance of using culture-independent methods when studying food microbiota.

Spectral Frame Analysis and Learning through Graph Structure

This dissertation investigates the connection between spectral analysis and frame theory. When considering the spectral properties of a frame, we present a few novel results relating to the spectral decomposition. We first show that scalable frames have the property that the inner product of the scaling coefficients and the eigenvectors must equal the inverse eigenvalues. From this, we prove a similar result when an approximate scaling is obtained. We then focus on the optimization problems inherent to the scalable frames by first showing that there is an equivalence between scaling a frame and optimization problems with a non-restrictive objective function. Various objective functions are considered, and an analysis of the solution type is presented. For linear objectives, we can encourage sparse scalings, and with barrier objective functions, we force dense solutions. We further consider frames in high dimensions, and derive various solution techniques. From here, we restrict ourselves to various frame classes, to add more specificity to the results. Using frames generated from distributions allows for the placement of probabilistic bounds on scalability. For discrete distributions (Bernoulli and Rademacher), we bound the probability of encountering an ONB, and for continuous symmetric distributions (Uniform and Gaussian), we show that symmetry is retained in the transformed domain. We also prove several hyperplane-separation results. With the theory developed, we discuss graph applications of the scalability framework. We make a connection with graph conditioning, and show the in-feasibility of the problem in the general case. After a modification, we show that any complete graph can be conditioned. We then present a modification of standard PCA (robust PCA) developed by Cand\`es, and give some background into Electron Energy-Loss Spectroscopy (EELS). We design a novel scheme for the processing of EELS through robust PCA and least-squares regression, and test this scheme on biological samples. Finally, we take the idea of robust PCA and apply the technique of kernel PCA to perform robust manifold learning. We derive the problem and present an algorithm for its solution. There is also discussion of the differences with RPCA that make theoretical guarantees difficult.

A molecular platform for the diagnosis of multidrug-resistant and pre-extensively drug-resistant tuberculosis based on single nucleotide polymorphism mutations present in Colombian isolates of Mycobacterium tuberculosis

Developing a fast, inexpensive, and specific test that reflects the mutations present in Mycobacterium tuberculosis isolates according to geographic region is the main challenge for drug-resistant tuberculosis (TB) control. The objective of this study was to develop a molecular platform to make a rapid diagnosis of multidrug-resistant (MDR) and extensively drug-resistant TB based on single nucleotide polymorphism (SNP) mutations present in the rpoB, katG, inhA, ahpC, and gyrA genes from Colombian M. tuberculosis isolates. The amplification and sequencing of each target gene was performed. Capture oligonucleotides, which were tested before being used with isolates to assess the performance, were designed for wild type and mutated codons, and the platform was standardised based on the reverse hybridisation principle. This method was tested on DNA samples extracted from clinical isolates from 160 Colombian patients who were previously phenotypically and genotypically characterised as having susceptible or MDR M. tuberculosis. For our method, the kappa index of the sequencing results was 0,966, 0,825, 0,766, 0,740, and 0,625 for rpoB, katG, inhA, ahpC, and gyrA, respectively. Sensitivity and specificity were ranked between 90-100% compared with those of phenotypic drug susceptibility testing. Our assay helps to pave the way for implementation locally and for specifically adapted methods that can simultaneously detect drug resistance mutations to first and second-line drugs within a few hours.

Effect of post-harvest ozone treatments on the skin phenolic composition and extractability of red winegrapes cv Nebbiolo and Berbera

Mestrado Vinifera Euromaster - Instituto Superior de Agronomia - UL

Association of the TNF-alpha -308 G/A polymorphisms with metabolic responses secondary to a high protein/low carbohydrate versus a standard hypocaloric diet

Background: Mutation analysis has identified a G-> A transition in the promoter region of TNF-alpha gene at position -308 (rs1800629). Objective: The aim of our study was to investigate the influence of polymorphism in -308 GA promoter variant of the TNF alpha gene on metabolic response and weight loss secondary to two hypocaloric diets. Method: A sample of 283 obese subjects was enrolled in a consecutive prospective way. In the basal visit, patients were randomly allocated during 9 months to diet HP (high protein/low carbohydrate hypocaloric diet) and diet S (standard hypocaloric diet). Results: There were no significant differences between the positive effects on weight loss in either genotype group with both diets. With both diets and only in wild genotype (diet HP vs. diet S), total cholesterol (-9.1 ± 3.4 mg/dL vs. -6.9 ± 2.0 mg/dL; p > 0.05), LDL cholesterol (-9.0 ± 2.9 mg/dL vs. -6.5 ± 2.1 mg/dL; p > 0.05) and triglycerides (-23.1 ± 5.1 mg/dL vs. -12.3 ± 4.8 mg/dL; p < 0.05) decreased. The improvement in triglycerides was higher in subjects without A allele. With diet HP and only in wild genotype, insulin levels (-3.1 ± 1.8 UI/L; p < 0.05) and HOMA-R (-0.8 ± 0.1 units; p < 0.05) decreased. Conclusion: Carriers of -308 GG promoter variant of TNF-alpha gene have a better metabolic response than -308 GA obese with a high protein hypocaloric diet.

Origine de la réduction de la durée de vie des photoporteurs dans le InGaAsP implanté à basse température

Un matériau semi-conducteur utilisé lors de la fabrication d’antennes térahertz (THz), le quaternaire InGaAsP (E_g = 0,79 eV), subit une implantation ionique de Fe suivi d’un recuit thermique rapide (RTA) dans le but d’améliorer ses propriétés d’émission. Le recuit est nécessaire afin de recristalliser la couche amorphisée lors de l’implantation, donnant lieu à un polycristal rempli de défauts de recristallisation. On constate cependant que les matériaux implantés Fe offrent de meilleures performances que ceux simplement endommagés au Ga. Dans le but de départager l’effet des défauts de recristallisation et des impuretés de Fe, des mesures de spectroscopie transitoire des niveaux profonds (DLTS) et de DLTS en courant (I-DLTS), ainsi que de spectrométrie de masse d’ions secondaires par temps de vol (ToF-SIMS) ont été effectuées sur des échantillons non implantés et d’autres recristallisés. Les mesures DLTS et I-DLTS ont pour but de caractériser les niveaux profonds générés par ces deux procédures postcroissance, tout en identifiant le rôle que jouent les impuretés de Fe sur la formation de ces niveaux profonds. De plus, le voisinage des atomes de Fe dans le matériau recristallisé a été étudié à l’aide des mesures ToF-SIMS. Les mesures DLTS sur matériau recristallisé sont peu concluantes, car la mesure de capacité est faussée par la haute résistivité du matériau. Par contre, les mesures I-DLTS sur matériau recristallisé ont permis de conclure que les impuretés de Fe sont responsables de la formation d’une grande variété de niveaux d’énergie se trouvant entre 0,25 et 0,40 eV, alors que les défauts de structure induisent des niveaux de moins de 0,25 eV. La concentration de Fe est élevée par rapport au seuil de solubilité du Fe dans le matériau recristallisé. Il serait donc plausible que des agrégats de Fe se forment. Toutefois, cette hypothèse est infirmée par l'absence de pic aux masses correspondant à la molécule ^(56)Fe_2^+ sur les spectres ToF-SIMS. De plus, un modèle simple est utilisé afin d’estimer si certaines masses présentes sur les spectres ToF-SIMS correspondent à des liaisons non induites par la mesure dans le matériau recristallisé. Bien qu’aucune liaison avec le Ga et l'As n’est détectable, ce modèle n’exclut pas la possibilité de liens préférentiels avec l’In.

Origine de la réduction de la durée de vie des photoporteurs dans le InGaAsP implanté à basse température

Un matériau semi-conducteur utilisé lors de la fabrication d’antennes térahertz (THz), le quaternaire InGaAsP (E_g = 0,79 eV), subit une implantation ionique de Fe suivi d’un recuit thermique rapide (RTA) dans le but d’améliorer ses propriétés d’émission. Le recuit est nécessaire afin de recristalliser la couche amorphisée lors de l’implantation, donnant lieu à un polycristal rempli de défauts de recristallisation. On constate cependant que les matériaux implantés Fe offrent de meilleures performances que ceux simplement endommagés au Ga. Dans le but de départager l’effet des défauts de recristallisation et des impuretés de Fe, des mesures de spectroscopie transitoire des niveaux profonds (DLTS) et de DLTS en courant (I-DLTS), ainsi que de spectrométrie de masse d’ions secondaires par temps de vol (ToF-SIMS) ont été effectuées sur des échantillons non implantés et d’autres recristallisés. Les mesures DLTS et I-DLTS ont pour but de caractériser les niveaux profonds générés par ces deux procédures postcroissance, tout en identifiant le rôle que jouent les impuretés de Fe sur la formation de ces niveaux profonds. De plus, le voisinage des atomes de Fe dans le matériau recristallisé a été étudié à l’aide des mesures ToF-SIMS. Les mesures DLTS sur matériau recristallisé sont peu concluantes, car la mesure de capacité est faussée par la haute résistivité du matériau. Par contre, les mesures I-DLTS sur matériau recristallisé ont permis de conclure que les impuretés de Fe sont responsables de la formation d’une grande variété de niveaux d’énergie se trouvant entre 0,25 et 0,40 eV, alors que les défauts de structure induisent des niveaux de moins de 0,25 eV. La concentration de Fe est élevée par rapport au seuil de solubilité du Fe dans le matériau recristallisé. Il serait donc plausible que des agrégats de Fe se forment. Toutefois, cette hypothèse est infirmée par l'absence de pic aux masses correspondant à la molécule ^(56)Fe_2^+ sur les spectres ToF-SIMS. De plus, un modèle simple est utilisé afin d’estimer si certaines masses présentes sur les spectres ToF-SIMS correspondent à des liaisons non induites par la mesure dans le matériau recristallisé. Bien qu’aucune liaison avec le Ga et l'As n’est détectable, ce modèle n’exclut pas la possibilité de liens préférentiels avec l’In.

Effects of bubbles, cracks, and volcanic tephra on the spectral albedo of bare ice near the Transantarctic Mountains: Implications for sea glaciers on Snowball Earth

Spectral albedo was measured along a 6 km transect near the Allan Hills in East Antarctica. The transect traversed the sequence from new snow through old snow, firn, and white ice, to blue ice, showing a systematic progression of decreasing albedo at all wavelengths, as well as decreasing specific surface area (SSA) and increasing density. Broadband albedos under clear-sky range from 0.80 for snow to 0.57 for blue ice, and from 0.87 to 0.65 under cloud. Both air bubbles and cracks scatter sunlight; their contributions to SSA were determined by microcomputed tomography on core samples of the ice. Although albedo is governed primarily by the SSA (and secondarily by the shape) of bubbles or snow grains, albedo also correlates highly with porosity, which, as a proxy variable, would be easier for ice sheet models to predict than bubble sizes. Albedo parameterizations are therefore developed as a function of density for three broad wavelength bands commonly used in general circulation models: visible, near-infrared, and total solar. Relevance to Snowball Earth events derives from the likelihood that sublimation of equatorward-flowing sea glaciers during those events progressively exposed the same sequence of surface materials that we measured at Allan Hills, with our short 6 km transect representing a transect across many degrees of latitude on the Snowball ocean. At the equator of Snowball Earth, climate models predict thick ice, or thin ice, or open water, depending largely on their albedo parameterizations; our measured albedos appear to be within the range that favors ice hundreds of meters thick. Citation:

Hall Effect and transient surface photovoltage (SPV) study of Cu3BiS3 thin films

Se presentan las propiedades eléctricas del compuesto Cu3BiS3 depositado por co-evaporación. Este es un nuevo compuesto que puede tener propiedades adecuadas para ser utilizado como capa absorbente en celdas solares. Las muestras fueron caracterizadas a través de medidas de efecto Hall y fotovoltaje superficial transiente (SPV). A través de medidas de efecto Hall se encontró que la concentración de portadores de carga n es del orden de 1016 cm-3 independiente de la relación de masas de Cu/Bi. También se encontró que la movilidad de este compuesto (μ del orden de 4 cm2V -1s-1) varía de acuerdo con los mecanismos de transporte que la gobiernan en dependencia con la temperatura. A partir de las medidas de SPV se encontró alta densidad de defectos superficiales, defectos que son pasivados al superponer una capa buffer sobre el compuesto Cu3BiS3.

The Influence of Age and Size on Family-Owned Firms’ Financing Decisions: Empirical Evidence Using Panel Data

Based on four samples of Portuguese family-owned firmsdi) 185 young, low-sized family-owned firms; ii) 167 young, high-sized familyowned firms; iii) 301 old, low-sized family-owned firms; and iv) 353 old, high-sized family-owned firms d we show that age and size are fundamental characteristics in family-owned firms’ financing decisions. The multiple empirical evidence obtained allows us to conclude that the financing decisions of young, low-sized family-owned firms are quite close to the assumptions of Pecking Order Theory, whereas those of old, high-sized family-owned firms are quite close to what is forecast by Trade-Off Theory. The lesser information asymmetry associated with greater age, the lesser likelihood of bankruptcy associated with greater size, as well as the lesser concentration of ownership and management consequence of greater age and size, may be especially important in the financing decisions of family-owned firms. In addition, we find that GDP, interest rate and periods of crisis have a greater effect on the debt of young, low-sized family-owned firms than on that of family-owned firms of the remainder research samples.

Cannabis use and misuse prevalence among people with psychosis

Background: Increasing attention has been given by researchers to cannabis use in individuals with psychosis. As psychoses are relatively low-prevalence disorders, research has been mostly been restricted to small-scale studies of treatment samples.The reported prevalence estimates obtained from these studies vary widely. Aims: To provide prevalence estimates based on larger samples and to examine sources of variability in prevalence estimates across studies. Method: Data from 53 studies of treatment samples and 5 epidemiological studies were analysed. Results: Based on treatment sample data, prevalence estimates were calculated for current use (23.0%), current misuse (11.3%),12-month use (29.2%),12-month misuse (18.8%), lifetime use (42.1%) and lifetime misuse (22.5%). Epidemiological studies consistently reported higher cannabis use and misuse prevalence in people with psychosis. Conclusions: The factor most consistently associated with increased odds of cannabis prevalence was specificity of diagnosis. Factors such as consumption patterns and study design merit further consideration.

Ultrafine particles in indoor air of a school : possible role of secondary organic aerosols

The aim of this work was to investigate ultrafine particles (< 0.1 μm) in primary school classrooms, in relation to the classrooms activities. The investigations were conducted in three classrooms during two measuring campaigns, which together encompassed a period of 60 days. Initial investigations showed that under the normal operating conditions of the school there were many occasions in all three classrooms where indoor particle concentrations increased significantly compared to outdoor levels. By far the highest increases in the classroom resulted from art activities (painting, gluing and drawing), at times reaching over 1.4 x 105 particle cm-3. The indoor particle concentrations exceeded outdoor concentrations by approximately one order of magnitude, with a count median diameter ranging from 20-50 nm. Significant increases also occurred during cleaning activities, when detergents were used. GC-MS analysis conducted on 4 samples randomly selected from about 30 different paints and glues, as well as the detergent used in the school, showed that d-limonene was one of the main organic compounds of the detergent, however, it was not detected in the samples of the paints and the glue. Controlled experiments showed that this monoterpene, emitted from the detergent, reacted with O3 (at outdoor ambient concentrations ranging from 0.06-0.08ppm) and formed secondary organic aerosols. Further investigations to identify other liquids which may be potential sources of the precursors of secondary organic aerosols, were outside the scope of this project, however, it is expected that the problem identified by this study could be more widely spread, since most primary schools use liquid materials for art classes, and all schools use detergents for cleaning. Further studies are therefore recommended to better understand this phenomenon and also to minimize school children exposure to ultrafine particles from these indoor sources.

An analysis of the determinants of job satisfaction when individuals' baseline satisfaction levels may differ.

A growing literature seeks to explain differences in individuals' self-reported satisfaction with their jobs. The evidence so far has mainly been based on cross-sectional data and when panel data have been used, individual unobserved heterogeneity has been modelled as an ordered probit model with random effects. This article makes use of longitudinal data for Denmark, taken from the waves 1995-1999 of the European Community Household Panel, and estimates fixed effects ordered logit models using the estimation methods proposed by Ferrer-i-Carbonel and Frijters (2004) and Das and van Soest (1999). For comparison and testing purposes a random effects ordered probit is also estimated. Estimations are carried out separately on the samples of men and women for individuals' overall satisfaction with the jobs they hold. We find that using the fixed effects approach (that clearly rejects the random effects specification), considerably reduces the number of key explanatory variables. The impact of central economic factors is the same as in previous studies, though. Moreover, the determinants of job satisfaction differ considerably between the genders, in particular once individual fixed effects are allowed for.

Trauma and Injury Severity Score (TRISS) coefficients 2009 revision

Background: Currently used Trauma and Injury Severity Score (TRISS) coefficients, which measure probability of survival (Ps), were derived from the Major Trauma Outcome Study (MTOS) in 1995 and are now unlikely to be optimal. This study aims to estimate new TRISS coefficients using a contemporary database of injured patients presenting to emergency departments in the United States; and to compare these against the MTOS coefficients.---------- Methods: Data were obtained from the National Trauma Data Bank (NTDB) and the NTDB National Sample Project (NSP). TRISS coefficients were estimated using logistic regression. Separate coefficients were derived from complete case and multistage multiple imputation analyses for each NTDB and NSP dataset. Associated Ps over Injury Severity Score values were graphed and compared by age (adult ≥ 15 years; pediatric < 15 years) and injury mechanism (blunt; penetrating) groups. Area under the Receiver Operating Characteristic curves was used to assess coefficients’ predictive performance.---------- Results: Overall 1,072,033 NTDB and 1,278,563 weighted NSP injury events were included, compared with 23,177 used in the original MTOS analyses. Large differences were seen between results from complete case and imputed analyses. For blunt mechanism and adult penetrating mechanism injuries, there were similarities between coefficients estimated on imputed samples, and marked divergences between associated Ps estimated and those from the MTOS. However, negligible differences existed between area under the receiver operating characteristic curves estimates because the overwhelming majority of patients had minor trauma and survived. For pediatric penetrating mechanism injuries, variability in coefficients was large and Ps estimates unreliable.---------- Conclusions: Imputed NTDB coefficients are recommended as the TRISS coefficients 2009 revision for blunt mechanism and adult penetrating mechanism injuries. Coefficients for pediatric penetrating mechanism injuries could not be reliably estimated.

Development of descriptor tools for the characterization of Australian sugar mill evaporator scale

Cleaning of sugar mill evaporators is an expensive exercise. Identifying the scale components assists in determining which chemical cleaning agents would result in effective evaporator cleaning. The current methods (based on x-ray diffraction techniques, ion exchange/high performance liquid chromatography and thermogravimetry/differential thermal analysis) used for scale characterisation are difficult, time consuming and expensive, and cannot be performed in a conventional analytical laboratory or by mill staff. The present study has examined the use of simple descriptor tests for the characterisation of Australian sugar mill evaporator scales. Scale samples were obtained from seven Australian sugar mill evaporators by mechanical means. The appearance, texture and colour of the scale were noted before the samples were characterised using x-ray fluorescence and x-ray powder diffraction to determine the compounds present. A number of commercial analytical test kits were used to determine the phosphate and calcium contents of scale samples. Dissolution experiments were carried out on the scale samples with selected cleaning agents to provide relevant information about the effect the cleaning agents have on different evaporator scales. Results have shown that by simply identifying the colour and the appearance of the scale, the elemental composition and knowing from which effect the scale originates, a prediction of the scale composition can be made. These descriptors and dissolution experiments on scale samples can be used to provide factory staff with an on-site rapid process to predict the most effective chemicals for chemical cleaning of the evaporators.