1,873 research outputs found
Impact of anaerobic digestion on organic matter quality in pig slurry
Changes in pig slurry organic matter (OM) during anaerobic digestion (AD) were studied in a reactor to characterize OM evolution through AD. OM maturity and stability were evaluated using different biological and physico-chemical methods. Germination and growth chamber experiments revealed a higher maturity of digested slurry (DS) than raw slurry (RS). Soil incubations showed that DS was more stable than RS with a C-mineralization of 12.0 g CO2-C 100 g1 Corg after 49 days as compared to 17.6 g CO2-C100 g1 Corg. Biochemical fractionation showed a relative increase in stable compounds such as hemicellulose-like and lignin-like molecules. Fourier-transform infrared spectroscopy showed some changes in the chemical structures of OM with a reduction in the aliphatic chain, lipid and polysaccharide levels. A comparison between the evolution of OM during AD and the first weeks of a composting process showed almost identical changes. Finally a theoretical method called Fictitious Atomic-group Separation was applied to the elemental compositions of RS and DS. DS was less humified than RS and presented the properties of a fulvic acid, indicating that the observed stability in DS was mainly due to the biodegradation of the most labile compound
Impact of the diagnosis definition on linkage detection
Previous genome scan linkage analyses of the disease Kofendrerd Personality Disorder (KPD) with microsatellites led to detect some regions on chromosomes 1, 3, 5, and 9 that were identical for the three populations AI, KA, and DA but with large differences in significance levels. These differences in results may be explained by the different diagnosis definitions depending on the presence/absence of 12 traits that were used in the 3 populations AI, KA, and DA. Heterogeneity of linkage was thus investigated here according to the absence/presence of each of the 12 traits in the 3 populations. For this purpose, two methods, the triangle test statistic and the predivided sample test were applied to search for genetic heterogeneity. Three regions with a strong heterogeneity of linkage were detected: the region on chromosome 1 according to the presence/absence of the traits a and b, the region on chromosome 3 for the trait b, and the region on chromosome 9 for the traits k and l. These 3 regions were the same as those detected by linkage analyses. No novel region was detected by the heterogeneity tests. Concerning chromosome 1, linkage analyses showed a much stronger evidence of linkage for traits a and b and for a combination of these traits than for KPD. Moreover, there was no indication of linkage to any of the other traits used to define the diagnosis of KPD. A genetic factor located on the chromosome 1 may have been detected here which would be involved specifically in traits a and b or in a combination of these traits
First stage in flash sintering of zirconia based ceramics
Flash sintering ability to densify ceramic material in less than 5 seconds, at much lower furnace temperatures than conventional sintering has been reported and studied for a large set of conductive ceramics and recently of composite ceramic materials. Since no die is used, the current mandatorily flows through the sample and the flash process is characterized by an abrupt increase in the sample conductivity accompanied by shrinkage and densification. In the literature two types of experiments are reported, referring to the furnace temperature: Constant heating rate (CHR) and isothermal experiments. The flash sintering elementary mechanisms are not yet fully understood. It has been recognized that, in isothermal experiments, the flash densification stage (“flash stage”) is observed after an incubation period during which no macroscopic densification is observed (“pre-flash stage”, or first stage); and in the CHR experiments, the densification temperature varies according to the intensity of the applied electric field. According to the literature and to our previous works, the effective electrical conductivity of the sample is a key parameter of the flash effect. In the present work, this parameter was varied using conducting/insulating ceramic composites with different amounts of insulating phase. This presentation reports and analyses the result of a study on the effect of a non-conductive second phase, alumina, on the first stage of the flash sintering of zirconia based ceramics in both CHR and isothermal furnace experiments. Spray dried 8 mol% Y2O3 zirconia (from Tosoh) and alumina - 3 mol% Y2O3 zirconia powder blends provided by Baikowski Company were used, with alumina volume fraction ranging from 0 to 60%, enabling a wide range of effective conductivity values.
In the CHR experiments samples were heated from 20 to 1500°C at 10°C/min and the electric field was applied from 500°C. In this case, the flash temperature is the experimental macroscopic analyzed result. For the isothermal experiments, the samples were preheated at different temperatures T0 (900 to 1400°C) before applying the electric field. In this case the delay time (or incubation time) to observe the flash event is the experimental macroscopic analyzed observation. All experiments were performed under constant AC (1kHz) electric field E0, with E0 of 100 and 200V/cm. The sample electrical conductivity was measured by impedance spectroscopy and recorded during all the sintering cycle.
Regarding the pre-flash period, our results show that the flash event is related to sample conductivity (which is determined by the amount of non-conductive phase) in both CHR and isothermal experiments. The data analysis for both types of experiments shows that the flash conditions are determined by a balance between the electric power supplied to the sample and the heat losses. Experimental data are in agreement with a thermal process in which the internal Joule dissipation heating competes with external heat losses. A simple model is proposed on this basis, which predicts the experimentally observed scaling laws.
The observation of alumina-zirconia eutectic microstructures in flash sintered composite samples and microstructure evolution of 8YSZ powder confirms that internal sample temperatures reached during the flash are in agreement with the temperature estimations obtained from the recorded conductivity evolution
Chirality dependence of the absorption cross-section of carbon nanotubes
The variation of the optical absorption of carbon nanotubes with their
geometry has been a long standing question at the heart of both metrological
and applicative issues, in particular because optical spectroscopy is one of
the primary tools for the assessment of the chiral species abundance of
samples. Here, we tackle the chirality dependence of the optical absorption
with an original method involving ultra-efficient energy transfer in
porphyrin/nanotube compounds that allows uniform photo-excitation of all chiral
species. We measure the absolute absorption cross-section of a wide range of
semiconducting nanotubes at their S22 transition and show that it varies by up
to a factor of 2.2 with the chiral angle, with type I nanotubes showing a
larger absorption. In contrast, the luminescence quantum yield remains almost
constant
Allozyme variation in relation to ecotypic differentiation and population size in marginal populations of Silene nutans
Relationships between components of blood pressure and cardiovascular events in patients with stable coronary artery disease and hypertension
Observational studies have shown a J-shaped relationship between diastolic blood pressure (BP) and cardiovascular events in hypertensive patients with coronary artery disease. We investigated whether the increased risk associated with low diastolic BP reflects elevated pulse pressure (PP). In 22 672 hypertensive patients with coronary artery disease from the CLARIFY registry (Prospective Observational Longitudinal Registry of Patients With Stable Coronary Artery Disease), followed for a median of 5.0 years, BP was measured annually and averaged. The relationships between PP and diastolic BP, alone or combined, and the primary composite outcome (cardiovascular death or myocardial infarction) were analyzed using multivariable Cox proportional hazards models. Adjusted hazard ratios for the primary outcome were 1.62 (95% confidence interval [CI], 1.40–1.87), 1.00 (ref), 1.07 (95% CI, 0.94–1.21), 1.54 (95% CI, 1.32–1.79), and 2.34 (95% CI, 1.95–2.81) for PP<45, 45 to 54 (reference), 55 to 64, 65 to 74, and ≥75 mm Hg, respectively, and 1.50 (95% CI, 1.31–1.72), 1.00 (reference), and 1.58 (95% CI, 1.42–1.77) for diastolic BPs of <70, 70 to 79 (ref), and ≥80 mm Hg, respectively. In a cross-classification analysis between diastolic BP and PP, the relationship between diastolic BP and the primary outcome remained J-shaped when the analysis was restricted to patients with the lowest-risk PP (45–64 mm Hg), with adjusted hazard ratios of 1.53 (95% CI, 1.27–1.83), 1.00 (ref), and 1.54 (95% CI, 1.34–1.75) in the <70, 70 to 79 (reference), and ≥80 mm Hg subgroups, respectively. The J-shaped relationship between diastolic BP and cardiovascular events in hypertensive patients with coronary artery disease persists in patients within the lowest-risk PP range and is therefore unlikely to be solely the consequence of an increased PP reflecting advanced vascular disease
Use of extensive habitat inventories in biodiversity studies
International audienceLarge monitoring programs exist in many countries and are necessary to assess present and past biodiversity status and to evaluate the consequences of habitat degradation or destruction. Using such an extensive data set of the floristic richness in the Paris Ile-de-France region (France), we compared different sampling efforts and protocols in different habitat units to highlight the best methods for assessing the actual plant biodiversity. Our results indicate that existing data can be used for a general understanding of site differences, but analysts should be aware of the limitations of the data due to non-random selection of sites, inconsistent observer knowledge, and inconsistent sampling period. The average species diversity recorded in a specific habitat does not necessarily reflect its actual diversity, unless the monitoring effort was very strong. Overall, increasing the sampling effort in a given region allows improvement of the (1) number of habitats visited, (2) the total sampled area for a given habitat type, (3) the number of seasons investigated. Our results indicate that the sampling effort should be planned with respect to these functional, spatial and temporal heterogeneities, and to the question examined. While the effort should be applied to as many habitats as possible for the purpose of capturing a large proportion of regional diversity, or comparing different regions, inventories should be conducted in different seasons for the purpose of comparing species richness in different habitats
Modeling the effect of a genetic factor for a complex trait in a simulated population
Genetic Analysis Workshop 14 simulated data have been analyzed with MASC(marker association segregation chi-squares) in which we implemented a bootstrap procedure to provide the variation intervals of parameter estimates. We model here the effect of a genetic factor, S, for Kofendrerd Personality Disorder in the region of the marker C03R0281 for the Aipotu population. The goodness of fit of several genetic models with two alleles for one locus has been tested. The data are not compatible with a direct effect of a single-nucleotide polymorphism (SNP) (SNP 16, 17, 18, 19 of pack 153) in the region. Therefore, we can conclude that the functional polymorphism has not been typed and is in linkage disequilibrium with the four studied SNPs. We obtained very large variation intervals both of the disease allele frequency and the degree of dominance. The uncertainty of the model parameters can be explained first, by the method used, which models marginal effects when the disease is due to complex interactions, second, by the presence of different sub-criteria used for the diagnosis that are not determined by S in the same way, and third, by the fact that the segregation of the disease in the families was not taken into account. However, we could not find any model that could explain the familial segregation of the trait, namely the higher proportion of affected parents than affected sibs
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