956 resultados para Inter Session Variability Modelling
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Introdução – A cintigrafia de perfusão do miocárdio (CPM) é utilizada no diagnóstico e seguimento de pacientes com doença arterial coronária, sendo a sua avaliação frequentemente realizada através da análise visual dos cortes tomográficos. A escala de cores selecionada é essencial na interpretação clínica das imagens de perfusão do miocárdio. Objetivo – Avaliar a influência de diferentes escalas de cores na avaliação qualitativa das imagens de CPM e estudar quais as mais adequadas para análise visual. Métodos – Trinta e cinco estudos de CPM foram avaliados visualmente por 16 estudantes da licenciatura em medicina nuclear nas escalas de cores Cool, Gray, Gray Invert, Thermal e Warm. Para a escala de cores Cool, a análise das imagens de CPM foi realizada através de um sistema de classificação semiquantitativo por scores. As restantes escalas de cores foram avaliadas por comparação com a análise das imagens efetuada com escala de cores Cool. Resultados/Discussão – Para a escala de cores Cool, a variabilidade interoperador revelou a existência de diferenças estatisticamente significativas entre todos os participantes (p<0,05), o que se pode atribuir à subjetividade da avaliação visual. Os resultados relativos às escalas de cores Gray e Gray Invert foram os mais próximos da perfusão do miocárdio observada com a escala Cool, considerando-se escalas de cores alternativas na análise visual dos estudos de CPM. Para as escalas de cores Thermal e Warm os resultados foram mais divergentes, não se considerando adequadas para a avaliação visual dos estudos de CPM. Conclusão – A escala de cores influencia a avaliação qualitativa da perfusão na CPM.
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We discuss the distributions and transports of the main water masses in the North Atlantic Subpolar Gyre (NASPG) for the mean of the period 2002–2010 (OVIDE sections 2002–2010 every other year), as well as the inter-annual variability of the water mass structure from 1997 (4x and METEOR sections) to 2010. The water mass structure of the NASPG, quantitatively assessed by means of an Optimum MultiParameter analysis (with 14 water masses), was combined with the velocity fields resulting from previous studies using inverse models to obtain the water mass volume transports. We also evaluate the relative contribution to the Atlantic Meridional Overturning Circulation (AMOC) of the main water masses characterizing the NASPG, identifying the water masses that contribute to the AMOC variability. The reduction of the magnitude of the upper limb of the AMOC between 1997 and the 2000s is associated with the reduction in the northward transport of the Central Waters. This reduction of the northward flow of the AMOC is partially compensated by the reduction of the southward flow of the lower limb of the AMOC, associated with the decrease in the transports of Polar Intermediate Water and Subpolar Mode Water (SPMW) in the Irminger Basin. We also decompose the flow over the Reykjanes Ridge from the East North Atlantic Basin to the Irminger Basin (9.4 ± 4.7 Sv) into the contributions of the Central Waters (2.1 ± 1.8 Sv), Labrador Sea Water (LSW, 2.4 ± 2.0 Sv), Subarctic Intermediate Water (SAIW, 4.0 ± 0.5 Sv) and Iceland–Scotland Overflow Water (ISOW, 0.9 ± 0.9 Sv). Once LSW and ISOW cross over the Reykjanes Ridge, favoured by the strong mixing around it, they leave the Irminger Basin through the deep-to-bottom levels. The results also give insights into the water mass transformations within the NASPG, such as the contribution of the Central Waters and SAIW to the formation of the different varieties of SPMW due to air–sea interaction.
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Climate change challenges the capacity of fishes to thrive in their habitat. However, through phenotypic diversity, they demonstrate remarkable resilience to deteriorating conditions. In fish populations, inter-individual variation in a number of fitness-determining physiological traits, including cardiac performance, is classically observed. Information about the cellular bases of inter-individual variability in cardiac performance is scarce including the possible contribution of excitation-contraction (EC) coupling. This study aimed at providing insight into EC coupling-related Ca2+ response and thermal plasticity in the European sea bass (Dicentrarchus labrax). A cell population approach was used to lay the methodological basis for identifying the cellular determinants of cardiac performance. Fish were acclimated at 12 and 22 A degrees C and changes in intracellular calcium concentration ([Ca2+](i)) following KCl stimulation were measured using Fura-2, at 12 or 22 A degrees C-test. The increase in [Ca2+](i) resulted primarily from extracellular Ca2+ entry but sarcoplasmic reticulum stores were also shown to be involved. As previously reported in sea bass, a modest effect of adrenaline was observed. Moreover, although the response appeared relatively insensitive to an acute temperature change, a difference in Ca2+ response was observed between 12- and 22 A degrees C-acclimated fish. In particular, a greater increase in [Ca2+](i) at a high level of adrenaline was observed in 22 A degrees C-acclimated fish that may be related to an improved efficiency of adrenaline under these conditions. In conclusion, this method allows a rapid screening of cellular characteristics. It represents a promising tool to identify the cellular determinants of inter-individual variability in fishes' capacity for environmental adaptation.
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International audience
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Thesis (Master, Kinesiology & Health Studies) -- Queen's University, 2016-09-27 19:34:16.86
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Il est reconnu que la consommation d’acides gras (AG) oméga-3 (n-3) d’origine marine est bénéfique pour la prévention des maladies cardiovasculaires (MCV), notamment en raison de leurs effets hypotriglycéridémiants. Toutefois, il existe une importante hétérogénéité dans la réponse des triglycérides (TG) plasmatiques à une supplémentation en AG n-3 et ce phénomène est en partie attribuable à des facteurs génétiques. Notre groupe de recherche a récemment réalisé une étude d’association à l’échelle du génome (GWAS) sur les participants de l’étude Fatty Acid Sensor (FAS), qui a permis d’identifier plusieurs loci associés à la réponse des TG suite à une supplémentation de 3g d’AG n-3 par jour. La plupart de ces loci sont localisés dans les gènes IQCJ, NXPH1, PHF17 et MYB. Des effets du génotype ainsi que des interactions gène-diète ont été observés avec plusieurs polymorphismes nucléotidiques simples (SNPs) des quatre gènes candidats. Ces résultats suggèrent que des variations génétiques à l’intérieur de gènes identifiés par GWAS peuvent expliquer en partie la variabilité de la réponse des TG plasmatiques à une supplémentation en AG n-3 d’origine marine.
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The objective of this research was to characterize the inter-annual variability of the viticultural climate of the wine regions of Brazil. The survey used a long sets of climatic data base of regions: in the South if Brazil ? Serra Gaúcha, Serra do Sudeste, Campanha, Campos de Cima da Serra and Planalto Catarinense; in the Northeast of Brazil ? Submédio São Francisco. The ?Géoviticulture MCC System? method was used with its 3 climatic indices: Heliothermal Index (HI), Cool Night Index (CI) and Dryness Index (DI).
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In 2019, the Italian Supreme Court established that hemp, for non-medical use, cannot be commercialized for human use, when the “psychotropic effect” of the product or its “offensiveness” can be demonstrated. The first chapter of this work reports a review of the European and Italian legislation on hemp cultivation, as well as the hemp production chain and commercial activities. The second chapter reports the pharmacological aspects and the psychoactive effects of light cannabis, along with pharmacokinetics of the main Cannabis compounds: Δ9-tetrahydrocannabinol (Δ9-THC), Cannabidiol (CBD) and Cannabinol (CBN). The aim of the experimental study, reported in the third chapter, is to assess Δ9-THC and CBD blood concentrations after smoking “light cannabis”, and its effects on vigilance, cognitive and motor skills. Eighteen young adults consumed three light cannabis cigarettes with a percentage of 0.41% of Δ9-THC and of 12.41% of CBD. Blood samples were collected before the experiment (t0) and after pre-defined time-lapses. Five performance tasks and a subjective scale were employed for measuring cognitive and psychomotor performances the day before the experiment (TT0) and after the third cigarette (TT1). Mean (SD) concentrations (ng/ml) were between 1.0(0.8) in t1 and 0.3(0.3) in t5 for Δ9-THC; and 10.5(10.3) in t1 and 5.7(5.7) in t5 for CBD. No significant differences were observed between TT0 and TT1 for all performed psychomotor performance task. Δ9-THC and CBD concentrations showed a high inter-subject variability, and the average concentrations were lower than those previously reported. Toxicological results showed a decrease of Δ9-THC and CBD after the third light cannabis cigarette, and a Δ9-THC /CBD ratio always < 1 was observed. This value might be useful in discriminating light cannabis versus illegal/medical cannabis consumption. The lack of impairment observed in our participants can be interpreted as a consequence of the very low concentrations in the blood.
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Global wetlands are believed to be climate sensitive, and are the largest natural emitters of methane (CH4). Increased wetland CH4 emissions could act as a positive feedback to future warming. The Wetland and Wetland CH4 Inter-comparison of Models Project (WETCHIMP) investigated our present ability to simulate large-scale wetland characteristics and corresponding CH4 emissions. To ensure inter-comparability, we used a common experimental protocol driving all models with the same climate and carbon dioxide (CO2) forcing datasets. The WETCHIMP experiments were conducted for model equilibrium states as well as transient simulations covering the last century. Sensitivity experiments investigated model response to changes in selected forcing inputs (precipitation, temperature, and atmospheric CO2 concentration). Ten models participated, covering the spectrum from simple to relatively complex, including models tailored either for regional or global simulations. The models also varied in methods to calculate wetland size and location, with some models simulating wetland area prognostically, while other models relied on remotely sensed inundation datasets, or an approach intermediate between the two. Four major conclusions emerged from the project. First, the suite of models demonstrate extensive disagreement in their simulations of wetland areal extent and CH4 emissions, in both space and time. Simple metrics of wetland area, such as the latitudinal gradient, show large variability, principally between models that use inundation dataset information and those that independently determine wetland area. Agreement between the models improves for zonally summed CH4 emissions, but large variation between the models remains. For annual global CH4 emissions, the models vary by ±40% of the all-model mean (190 Tg CH4 yr−1). Second, all models show a strong positive response to increased atmospheric CO2 concentrations (857 ppm) in both CH4 emissions and wetland area. In response to increasing global temperatures (+3.4 °C globally spatially uniform), on average, the models decreased wetland area and CH4 fluxes, primarily in the tropics, but the magnitude and sign of the response varied greatly. Models were least sensitive to increased global precipitation (+3.9 % globally spatially uniform) with a consistent small positive response in CH4 fluxes and wetland area. Results from the 20th century transient simulation show that interactions between climate forcings could have strong non-linear effects. Third, we presently do not have sufficient wetland methane observation datasets adequate to evaluate model fluxes at a spatial scale comparable to model grid cells (commonly 0.5°). This limitation severely restricts our ability to model global wetland CH4 emissions with confidence. Our simulated wetland extents are also difficult to evaluate due to extensive disagreements between wetland mapping and remotely sensed inundation datasets. Fourth, the large range in predicted CH4 emission rates leads to the conclusion that there is both substantial parameter and structural uncertainty in large-scale CH4 emission models, even after uncertainties in wetland areas are accounted for.
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Global wetlands are believed to be climate sensitive, and are the largest natural emitters of methane (CH4). Increased wetland CH4 emissions could act as a positive feedback to future warming. The Wetland and Wetland CH4 Inter-comparison of Models Project (WETCHIMP) investigated our present ability to simulate large-scale wetland characteristics and corresponding CH4 emissions. To ensure inter-comparability, we used a common experimental protocol driving all models with the same climate and carbon dioxide (CO2) forcing datasets. The WETCHIMP experiments were conducted for model equilibrium states as well as transient simulations covering the last century. Sensitivity experiments investigated model response to changes in selected forcing inputs (precipitation, temperature, and atmospheric CO2 concentration). Ten models participated, covering the spectrum from simple to relatively complex, including models tailored either for regional or global simulations. The models also varied in methods to calculate wetland size and location, with some models simulating wetland area prognostically, while other models relied on remotely sensed inundation datasets, or an approach intermediate between the two. Four major conclusions emerged from the project. First, the suite of models demonstrate extensive disagreement in their simulations of wetland areal extent and CH4 emissions, in both space and time. Simple metrics of wetland area, such as the latitudinal gradient, show large variability, principally between models that use inundation dataset information and those that independently determine wetland area. Agreement between the models improves for zonally summed CH4 emissions, but large variation between the models remains. For annual global CH4 emissions, the models vary by ±40% of the all-model mean (190 Tg CH4 yr−1). Second, all models show a strong positive response to increased atmospheric CO2 concentrations (857 ppm) in both CH4 emissions and wetland area. In response to increasing global temperatures (+3.4 °C globally spatially uniform), on average, the models decreased wetland area and CH4 fluxes, primarily in the tropics, but the magnitude and sign of the response varied greatly. Models were least sensitive to increased global precipitation (+3.9 % globally spatially uniform) with a consistent small positive response in CH4 fluxes and wetland area. Results from the 20th century transient simulation show that interactions between climate forcings could have strong non-linear effects. Third, we presently do not have sufficient wetland methane observation datasets adequate to evaluate model fluxes at a spatial scale comparable to model grid cells (commonly 0.5°). This limitation severely restricts our ability to model global wetland CH4 emissions with confidence. Our simulated wetland extents are also difficult to evaluate due to extensive disagreements between wetland mapping and remotely sensed inundation datasets. Fourth, the large range in predicted CH4 emission rates leads to the conclusion that there is both substantial parameter and structural uncertainty in large-scale CH4 emission models, even after uncertainties in wetland areas are accounted for.
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Coagulase-negative staphylococci (CoNS) are common bacterial colonisers of the human skin. They are often involved in nosocomial infections due to biofilm formation in indwelling medical devices. While biofilm formation has been extensively studied in Staphylococcus epidermidis, little is known regarding other CoNS species. Here, biofilms from six different CoNS species were characterised in terms of biofilm composition and architecture. Interestingly, the ability to form a thick biofilm was not associated with any particular species, and high variability on biofilm accumulation was found within the same species. Cell viability assays also revealed different proportions of live and dead cells within biofilms formed by different species, although this parameter was particularly similar at the intra-species level. On the other hand, biofilm disruption assays demonstrated important inter- and intra-species differences regarding extracellular matrix composition. Lastly, confocal laser scanning microscopy (CLSM) experiments confirmed this variability, highlighting important differences and common features of CoNS biofilms. We hypothesised that the biofilm formation heterogeneity observed was rather associated with biofilm matrix composition than with cells themselves. Additionally, our results indicate that polysaccharides, DNA and proteins are fundamental pieces in the process of CoNS biofilm formation.
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Depth-averaged velocities and unit discharges within a 30 km reach of one of the world's largest rivers, the Rio Parana, Argentina, were simulated using three hydrodynamic models with different process representations: a reduced complexity (RC) model that neglects most of the physics governing fluid flow, a two-dimensional model based on the shallow water equations, and a three-dimensional model based on the Reynolds-averaged Navier-Stokes equations. Row characteristics simulated using all three models were compared with data obtained by acoustic Doppler current profiler surveys at four cross sections within the study reach. This analysis demonstrates that, surprisingly, the performance of the RC model is generally equal to, and in some instances better than, that of the physics based models in terms of the statistical agreement between simulated and measured flow properties. In addition, in contrast to previous applications of RC models, the present study demonstrates that the RC model can successfully predict measured flow velocities. The strong performance of the RC model reflects, in part, the simplicity of the depth-averaged mean flow patterns within the study reach and the dominant role of channel-scale topographic features in controlling the flow dynamics. Moreover, the very low water surface slopes that typify large sand-bed rivers enable flow depths to be estimated reliably in the RC model using a simple fixed-lid planar water surface approximation. This approach overcomes a major problem encountered in the application of RC models in environments characterised by shallow flows and steep bed gradients. The RC model is four orders of magnitude faster than the physics based models when performing steady-state hydrodynamic calculations. However, the iterative nature of the RC model calculations implies a reduction in computational efficiency relative to some other RC models. A further implication of this is that, if used to simulate channel morphodynamics, the present RC model may offer only a marginal advantage in terms of computational efficiency over approaches based on the shallow water equations. These observations illustrate the trade off between model realism and efficiency that is a key consideration in RC modelling. Moreover, this outcome highlights a need to rethink the use of RC morphodynamic models in fluvial geomorphology and to move away from existing grid-based approaches, such as the popular cellular automata (CA) models, that remain essentially reductionist in nature. In the case of the world's largest sand-bed rivers, this might be achieved by implementing the RC model outlined here as one element within a hierarchical modelling framework that would enable computationally efficient simulation of the morphodynamics of large rivers over millennial time scales. (C) 2012 Elsevier B.V. All rights reserved.
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Purpose: To evaluate inter- and intraobserver variability of indices crucial for detection of keratoconus progression derived from the Pentacam HR® (high-resolution) tomographer (OCULUS Optikgeräte GmbH, Wetzlar, Germany) in patients with mild to moderate keratoconus. Methods: Three repeated corneal topography measurements in the 25-picture mode by two independent observers were performed. The extent of variability across a large range of measurement parameters was analyzed including anterior and posterior corneal surface measurements, pachymetry values, corneal volume, anterior chamber volume and depth, and iridocorneal angle. The intraclass correlation coefficient (ICC) between and within each investigator was calculated to assess reproducibility and repeatability, respectively. Results: 31 eyes of 20 patients (mean age 31.6, SD ± 8.6) were included. Overall, the repeatability and reproducibility were excellent. The range of variability was reported by calculating the standard deviation of measurements. The detailed results are shown in Table 1. Conclusions: This study shows that the Pentacam HR® tomographer provides reliable measurements in patients with mild to moderate keratoconus. However, all parameters showed a certain range of variability. This should be taken into account when assessing keratoconus progression in order to distinguish true progression from variability in measurements. In addition, the excellent reproducibility suggests that the measurements can be reliably performed by different individuals from one visit to another.
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Heavy metals in the surface sediments of the two coastal ecosystems of Cochin, southwest India were assessed. The study intends to evaluate the degree of anthropogenic influence on heavy metal concentration in the sediments of the mangrove and adjacent estuarine stations using enrichment factor and geoaccumulation index. The inverse relationship of Cd and Zn with texture in the mangrove sediments suggested the anthropogenic enrichment of these metals in the mangrove systems. In the estuarine sediments, the absence of any significant correlation of the heavy metals with other sedimentary parameters and their strong interdependence revealed the possibility that the input is not through the natural weathering processes. The analysis of enrichment factor indicated a minor enrichment for Pb and Zn in mangrove sediments. While, extremely severe enrichment for Cd, moderate enrichment for Zn and minor enrichment of Pb were observed in estuarine system. The geo accumulation index exhibited very low values for all metals except Zn, indicating the sediments of the mangrove ecosystem are unpolluted to moderately polluted by anthropogenic activities. However, very strongly polluted condition for Cd and a moderately polluted condition for Zn were evident in estuarine sediments