Devolatilization-induced pressure build-up: Implications for reaction front movement and breccia pipe formation

Generation of fluids during metamorphism can significantly influence the fluid overpressure, and thus the fluid flow in metamorphic terrains. There is currently a large focus on developing numerical reactive transport models, and with it follows the need for analytical solutions to ensure correct numerical implementation. In this study, we derive both analytical and numerical solutions to reaction-induced fluid overpressure, coupled to temperature and fluid flow out of the reacting front. All equations are derived from basic principles of conservation of mass, energy and momentum. We focus on contact metamorphism, where devolatilization reactions are particularly important owing to high thermal fluxes allowing large volumes of fluids to be rapidly generated. The analytical solutions reveal three key factors involved in the pressure build-up: (i) The efficiency of the devolatilizing reaction front (pressure build-up) relative to fluid flow (pressure relaxation), (ii) the reaction temperature relative to the available heat in the system and (iii) the feedback of overpressure on the reaction temperature as a function of the Clapeyron slope. Finally, we apply the model to two geological case scenarios. In the first case, we investigate the influence of fluid overpressure on the movement of the reaction front and show that it can slow down significantly and may even be terminated owing to increased effective reaction temperature. In the second case, the model is applied to constrain the conditions for fracturing and inferred breccia pipe formation in organic-rich shales owing to methane generation in the contact aureole.

Cigarette, cigar, and pipe smoking and the risk of head and neck cancers: pooled analysis in the International Head and Neck Cancer Epidemiology Consortium.

Cigar and pipe smoking are considered risk factors for head and neck cancers, but the magnitude of effect estimates for these products has been imprecisely estimated. By using pooled data from the International Head and Neck Cancer Epidemiology (INHANCE) Consortium (comprising 13,935 cases and 18,691 controls in 19 studies from 1981 to 2007), we applied hierarchical logistic regression to more precisely estimate odds ratios and 95% confidence intervals for cigarette, cigar, and pipe smoking separately, compared with reference groups of those who had never smoked each single product. Odds ratios for cigar and pipe smoking were stratified by ever cigarette smoking. We also considered effect estimates of smoking a single product exclusively versus never having smoked any product (reference group). Among never cigarette smokers, the odds ratio for ever cigar smoking was 2.54 (95% confidence interval (CI): 1.93, 3.34), and the odds ratio for ever pipe smoking was 2.08 (95% CI: 1.55, 2.81). These odds ratios increased with increasing frequency and duration of smoking (Ptrend ≤ 0.0001). Odds ratios for cigar and pipe smoking were not elevated among ever cigarette smokers. Head and neck cancer risk was elevated for those who reported exclusive cigar smoking (odds ratio = 3.49, 95% CI: 2.58, 4.73) or exclusive pipe smoking (odds ratio = 3.71, 95% CI: 2.59, 5.33). These results suggest that cigar and pipe smoking are independently associated with increased risk of head and neck cancers.

A mathematical model to describe fat oxidation kinetics during graded exercise.

PURPOSE: The purpose of this study was to develop a mathematical model (sine model, SIN) to describe fat oxidation kinetics as a function of the relative exercise intensity [% of maximal oxygen uptake (%VO2max)] during graded exercise and to determine the exercise intensity (Fatmax) that elicits maximal fat oxidation (MFO) and the intensity at which the fat oxidation becomes negligible (Fatmin). This model included three independent variables (dilatation, symmetry, and translation) that incorporated primary expected modulations of the curve because of training level or body composition. METHODS: Thirty-two healthy volunteers (17 women and 15 men) performed a graded exercise test on a cycle ergometer, with 3-min stages and 20-W increments. Substrate oxidation rates were determined using indirect calorimetry. SIN was compared with measured values (MV) and with other methods currently used [i.e., the RER method (MRER) and third polynomial curves (P3)]. RESULTS: There was no significant difference in the fitting accuracy between SIN and P3 (P = 0.157), whereas MRER was less precise than SIN (P < 0.001). Fatmax (44 +/- 10% VO2max) and MFO (0.37 +/- 0.16 g x min(-1)) determined using SIN were significantly correlated with MV, P3, and MRER (P < 0.001). The variable of dilatation was correlated with Fatmax, Fatmin, and MFO (r = 0.79, r = 0.67, and r = 0.60, respectively, P < 0.001). CONCLUSIONS: The SIN model presents the same precision as other methods currently used in the determination of Fatmax and MFO but in addition allows calculation of Fatmin. Moreover, the three independent variables are directly related to the main expected modulations of the fat oxidation curve. SIN, therefore, seems to be an appropriate tool in analyzing fat oxidation kinetics obtained during graded exercise.

Acute Eosinophilic and Neutrophilic Pneumonia following Transarterial Chemoembolization with Drug-Eluting Beads Loaded with Doxorubicin for Hepatocellular Carcinoma: A Case Report.

At an intermediate or advanced stage, i.e. stage B or C, based on the Barcelona Clinic Liver Cancer classification of hepatocellular carcinoma (HCC), transarterial chemoembolization (TACE) may be offered as a treatment of palliative intent. We report the case of a patient suffering from acute respiratory distress syndrome after TACE with drug-eluting beads loaded with doxorubicin for HCC. To our knowledge, this is the first case described where a bronchoalveolar lavage was performed, and where significant levels of alveolar eosinophilia and neutrophilia were evident, attributed to a pulmonary toxicity of doxorubicin following liver chemoembolization. © 2014 S. Karger AG, Basel.

Nouvelles pistes pour la réhabilitation respiratoire dons la bronchopneumopathie chronique obstructive (BPCO) [New perspectives for respiratory rehabilitation in COPD].

COPD is associated with some skeletal muscle dysfunction which contributes to a poor exercise tolerance. This dysfunction results from multiple factors: physical inactivity, corticosteroids, smoking, malnutrition, anabolic deficiency, systemic inflammation, hypoxia, oxidative stress. Respiratory rehabilitation is based on exercise training and allows patients with COPD to experience less dyspnoea, and to improve their exercise tolerance and quality of life. Not all patients, however, benefit from rehabilitation. Acknowledging the different factors leading to muscular dysfunction allows one to foresee new avenues to improve efficacy of exercise training in COPD.

Pneumopathies interstitielles diffuses idiopathiques [Idiopathic interstitial pneumonias].

Idiopathic interstitial pneumonias represent approximately 30% of all interstitial lung diseases. The new classification of idiopathic interstitial pneumonias published in 2013 distinguishes 6 major entities, including chronic fibrosing forms (idiopathic pulmonary fibrosis and nonspecific interstitial pneumonia), acute/subacute forms (cryptogenic organizing pneumonia and acute interstitial pneumonia) and smoking-related disorders (respiratory bronchiolitis interstitial lung disease and desquamative interstitial pneumonia). Pleuroparenchymal fibroelastosis is individualized as a new rare clinco-pathologic entity. For cases not fitting any specific clinic- pathological category, a pragmatic classification based on disease behavior is proposed.

The ghost of past species occurrence: improving species distribution models for presence-only data

1. Model-based approaches have been used increasingly in conservation biology over recent years. Species presence data used for predictive species distribution modelling are abundant in natural history collections, whereas reliable absence data are sparse, most notably for vagrant species such as butterflies and snakes. As predictive methods such as generalized linear models (GLM) require absence data, various strategies have been proposed to select pseudo-absence data. However, only a few studies exist that compare different approaches to generating these pseudo-absence data. 2. Natural history collection data are usually available for long periods of time (decades or even centuries), thus allowing historical considerations. However, this historical dimension has rarely been assessed in studies of species distribution, although there is great potential for understanding current patterns, i.e. the past is the key to the present. 3. We used GLM to model the distributions of three 'target' butterfly species, Melitaea didyma, Coenonympha tullia and Maculinea teleius, in Switzerland. We developed and compared four strategies for defining pools of pseudo-absence data and applied them to natural history collection data from the last 10, 30 and 100 years. Pools included: (i) sites without target species records; (ii) sites where butterfly species other than the target species were present; (iii) sites without butterfly species but with habitat characteristics similar to those required by the target species; and (iv) a combination of the second and third strategies. Models were evaluated and compared by the total deviance explained, the maximized Kappa and the area under the curve (AUC). 4. Among the four strategies, model performance was best for strategy 3. Contrary to expectations, strategy 2 resulted in even lower model performance compared with models with pseudo-absence data simulated totally at random (strategy 1). 5. Independent of the strategy model, performance was enhanced when sites with historical species presence data were not considered as pseudo-absence data. Therefore, the combination of strategy 3 with species records from the last 100 years achieved the highest model performance. 6. Synthesis and applications. The protection of suitable habitat for species survival or reintroduction in rapidly changing landscapes is a high priority among conservationists. Model-based approaches offer planning authorities the possibility of delimiting priority areas for species detection or habitat protection. The performance of these models can be enhanced by fitting them with pseudo-absence data relying on large archives of natural history collection species presence data rather than using randomly sampled pseudo-absence data.

Which prior knowledge? Quantification of in vivo brain 13C MR spectra following 13C glucose infusion using AMARES.

The recent developments in high magnetic field 13C magnetic resonance spectroscopy with improved localization and shimming techniques have led to important gains in sensitivity and spectral resolution of 13C in vivo spectra in the rodent brain, enabling the separation of several 13C isotopomers of glutamate and glutamine. In this context, the assumptions used in spectral quantification might have a significant impact on the determination of the 13C concentrations and the related metabolic fluxes. In this study, the time domain spectral quantification algorithm AMARES (advanced method for accurate, robust and efficient spectral fitting) was applied to 13 C magnetic resonance spectroscopy spectra acquired in the rat brain at 9.4 T, following infusion of [1,6-(13)C2 ] glucose. Using both Monte Carlo simulations and in vivo data, the goal of this work was: (1) to validate the quantification of in vivo 13C isotopomers using AMARES; (2) to assess the impact of the prior knowledge on the quantification of in vivo 13C isotopomers using AMARES; (3) to compare AMARES and LCModel (linear combination of model spectra) for the quantification of in vivo 13C spectra. AMARES led to accurate and reliable 13C spectral quantification similar to those obtained using LCModel, when the frequency shifts, J-coupling constants and phase patterns of the different 13C isotopomers were included as prior knowledge in the analysis.

Les activations autonomiques nocturnes sont associées au diabète et à l'hypertension dans la population générale

Objectif : Les variations de l'amplitude de l'onde de pouls (AOP) dérivées du signal de l'oxymètre de pouls digital reflètent les variations du tonus sympathique durant le sommeil. Le but de cette étude était de démontrer la relation entre les chutes de l'AOP nocturnes et l'hypertension artérielle (HTA) ainsi que le diabète de type 2. Méthode: 1740 sujets (50.5 % de femmes, de 56.2 ± 10.5 ans, BMI 25.4 ± 4.4 kg/m2) participant à une étude de cohorte sur le sommeil (HypnoLaus) ont bénéficié d'un enregistrement polysomnographique complet (PSG) à domicile. L'index de chutes de l'AOP (AOPi) et la durée des chutes de l'AOP (AOPd) ont été mesurés pour chaque patient. Le diabète de type 2 a été défini par une glycémie à jeun de ≥ 7 mmol/L ou la prise d'un traitement antidiabétique. Une HTA a été définie par une TA systolique ≥ 130 mmHg, ou une TA diastolique ≥ 90 mmHg, ou la prise d'un traitement antihypertenseur. Les sujets ont été considérés comme n'ayant pas de troubles du sommeil s'ils avaient < 5 apnéeshypopnées/ heure (IAH), <15 mouvements périodiques des jambes/heure (IMPJ) et un score de somnolence d'Epworth <11/24. Résultats : L'AOPi moyen dans la population sans trouble du sommeil était de 40.2 ± 15.8 chutes/h. L'AOPd moyenne était de 13.7 ± 2.6 s. L'AOPd était significativement corrélée à la TA systolique (P=0.0038) et à la TA diastolique (P<0.0001). La prévalence d'HTA augmentait significativement avec l'AOPd (OR 1.66 (1.15 - 2.4) ; P <0.01). La prévalence de diabète de type 2 augmentait également significativement avec l'AOPd (OR 2.27 (1.46 - 5.75) ; P<0.01). Ces résultats restent significatifs indépendamment du sexe, de l'âge, du tour de cou ou de la taille, de la consommation d'alcool ou de tabac. Comparé avec d'autres marqueurs de fractionnement du sommeil, l'AOPd était le marqueur le plus significativement associé à l'HTA et au diabète de type 2. L'AOPi n'était pas associé à une augmentation du diabète ou de l'HTA. Il était par contre corrélé avec l'index apnées hypopnées (p < 0.0001) et de microréveils (p<0.0001). Conclusion : La durée des variations de l'amplitude de l'onde pouls pendant le sommeil (AOPd), et non sa fréquence (AOPi), est associée avec une augmentation de prévalence de diabète de type 2 et d'hypertension.

Amputations du membre inférieur [Amputations of the lower extremity]

Still nowadays amputations are frequently performed in our country. In diabetic patients the incidence of an amputation is 25 times higher than in the normal population. All possibilities of revascularisation or limb salvage must be excluded by a multidisciplinary approach before choosing an amputation. Once the decision is taken the good level of amputation and the correct technique have to determined. The goal of this article is to describe which clinical and paraclinical parameters will help the surgeon to choose the best level of amputation, which techniques are to be used for the amputation and to finally give some information about re-education and the fitting of an orthesis or prosthesis.

Understanding the low-temperature limitations to forest growth through calibration of a forest dynamics model with tree-ring data

The sensitivity of altitudinal and latitudinal tree-line ecotones to climate change, particularly that of temperature, has received much attention. To improve our understanding of the factors affecting tree-line position, we used the spatially explicit dynamic forest model TreeMig. Although well-suited because of its landscape dynamics functions, TreeMig features a parabolic temperature growth response curve, which has recently been questioned. and the species parameters are not specifically calibrated for cold temperatures. Our main goals were to improve the theoretical basis of the temperature growth response curve in the model and develop a method for deriving that curve's parameters from tree-ring data. We replaced the parabola with an asymptotic curve, calibrated for the main species at the subalpine (Swiss Alps: Pinus cembra, Larix decidua, Picea abies) and boreal (Fennoscandia: Pinus sylvestris, Betula pubescens, P. abies) tree-lines. After fitting new parameters, the growth curve matched observed tree-ring widths better. For the subalpine species, the minimum degree-day sum allowing, growth (kDDMin) was lowered by around 100 degree-days; in the case of Larix, the maximum potential ring-width was increased to 5.19 mm. At the boreal tree-line, the kDDMin for P. sylvestris was lowered by 210 degree-days and its maximum ring-width increased to 2.943 mm; for Betula (new in the model) kDDMin was set to 325 degree-days and the maximum ring-width to 2.51 mm; the values from the only boreal sample site for Picea were similar to the subalpine ones, so the same parameters were used. However, adjusting the growth response alone did not improve the model's output concerning species' distributions and their relative importance at tree-line. Minimum winter temperature (MinWiT, mean of the coldest winter month), which controls seedling establishment in TreeMig, proved more important for determining distribution. Picea, P. sylvestris and Betula did not previously have minimum winter temperature limits, so these values were set to the 95th percentile of each species' coldest MinWiT site (respectively -7, -11, -13). In a case study for the Alps, the original and newly calibrated versions of TreeMig were compared with biomass data from the National Forest Inventor), (NFI). Both models gave similar, reasonably realistic results. In conclusion, this method of deriving temperature responses from tree-rings works well. However, regeneration and its underlying factors seem more important for controlling species' distributions than previously thought. More research on regeneration ecology, especially at the upper limit of forests. is needed to improve predictions of tree-line responses to climate change further.

Nutrition dans la bronchopneumopathie chronique obstructive [Nutrition in chronic obstructive bronchopneumopathy]

The respiratory system and nutrition are linked. Obesity is sometimes seen in chronic obstructive pulmonary disease (COPD), but its prevalence, the morbidity and mortality induced by it are not known. In addition, the prevalence of malnutrition is high in COPD and the more severe the COPD is, the higher percentage of malnutrition is present. Emphysematous patients are more frequently undernourished than those suffering from chronic bronchitis. Malnutrition is the consequence of the hypermetabolism induced by the higher cost of breathing in emphysema. The survival rate of these patients is negatively affected by malnutrition. A careful assessment of nutritional status must be performed in all COPD patients, especially during an episode of acute respiratory failure. When signs of malnutrition are present, a nutritional intervention should be initiated rapidly. An amount of calories sufficient to meet the energy expenditure increased by the disease must be given. Excessive intake may overstress the respiratory system whose functional reserve is limited in COPD. The diet must include a well balanced percentage of fat, carbohydrates and proteins. Preservation of the fat-free mass is the minimum goal to reach in acute respiratory failure. After the resolution of the acute phase, a gain of weight should be attempted within a rehabilitation program.