583 research outputs found

    Distribution and Thawing of Permafrost in the Southern Part of the Discontinuous Permafrost Zone in Manitoba

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    This study was carried out to evaluate the environmental factors which influence the distribution and collapse of perennially frozen peats in the southern part of the discontinuous permafrost zone in Manitoba. The changes in permafrost bodies were measured by means of aerial photography carried out over a period of 20 years. About 25 per cent of the once occurring permafrost is still present. Melting appears to have exceeded aggradation of permafrost since about 150 years B.P. Two types of collapse were noticed: peripheral collapse around very small permafrost bodies; and a central collapse for the larger bodies. The amount of collapse has varied from 0 to 30 metres horizontally in a 20 year period

    HOAX: A Hyperparameter Optimization Algorithm Explorer for Neural Networks

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    Computational chemistry has become an important tool to predict and understand molecular properties and reactions. Even though recent years have seen a significant growth in new algorithms and computational methods that speed up quantum chemical calculations, the bottleneck for trajectory-based methods to study photoinduced processes is still the huge number of electronic structure calculations. In this work, we present an innovative solution, in which the amount of electronic structure calculations is drastically reduced, by employing machine learning algorithms and methods borrowed from the realm of artificial intelligence. However, applying these algorithms effectively requires finding optimal hyperparameters, which remains a challenge itself. Here we present an automated user-friendly framework, HOAX, to perform the hyperparameter optimization for neural networks, which bypasses the need for a lengthy manual process. The neural network generated potential energy surfaces (PESs) reduces the computational costs compared to the ab initio-based PESs. We perform a comparative investigation on the performance of different hyperparameter optimiziation algorithms, namely grid search, simulated annealing, genetic algorithm, and bayesian optimizer in finding the optimal hyperparameters necessary for constructing the well-performing neural network in order to fit the PESs of small organic molecules. Our results show that this automated toolkit not only facilitate a straightforward way to perform the hyperparameter optimization but also the resulting neural networks-based generated PESs are in reasonable agreement with the ab initio-based PESs.Comment: 18 page

    Oral treatment with Eubacterium hallii improves insulin sensitivity in db/db mice

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    F.B. is supported by Swedish Research Council, Swedish Diabetes Foundation, Swedish Heart Lung Foundation, Swedish Foundation for Strategic Research, Knut and Alice Wallenberg foundation, Göran Gustafsson Foundation, Ingbritt and Arne Lundberg’s foundation, Swedish Heart Lung Foundation, Torsten Söderberg’s Foundation, Ragnar Söderberg’s Foundation, NovoNordisk Foundation, AFA insurances, and LUA-ALF grants from VĂ€stra Götalandsregionen and Stockholm County Council. F.B. is a recipient of ERC Consolidator Grant (European Research Council, Consolidator grant 615362—METABASE). W.M.d.V. is supported by the Finland Academy of Sciences (grants 137389, 141140 and 1272870 ), the Netherlands Organization for Scientific Research (Spinoza Award and SIAM Gravity Grant 024.002.002) and the European Research Council (ERC Advanced Grant 250172 MicrobesInside). M.N. is supported by a ZONMW-VIDI grant 2013 (016.146.327).Peer reviewedPublisher PD

    Sequential Voxel-Based Leaflet Segmentation of Complex Lipid Morphologies

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    [Image: see text] As molecular dynamics simulations increase in complexity, new analysis tools are necessary to facilitate interpreting the results. Lipids, for instance, are known to form many complicated morphologies, because of their amphipathic nature, becoming more intricate as the particle count increases. A few lipids might form a micelle, where aggregation of tens of thousands could lead to vesicle formation. Millions of lipids comprise a cell and its organelle membranes, and are involved in processes such as neurotransmission and transfection. To study such phenomena, it is useful to have analysis tools that understand what is meant by emerging entities such as micelles and vesicles. Studying such systems at the particle level only becomes extremely tedious, counterintuitive, and computationally expensive. To address this issue, we developed a method to track all the individual lipid leaflets, allowing for easy and quick detection of topological changes at the mesoscale. By using a voxel-based approach and focusing on locality, we forego costly geometrical operations without losing important details and chronologically identify the lipid segments using the Jaccard index. Thus, we achieve a consistent sequential segmentation on a wide variety of (lipid) systems, including monolayers, bilayers, vesicles, inverted hexagonal phases, up to the membranes of a full mitochondrion. It also discriminates between adhesion and fusion of leaflets. We show that our method produces consistent results without the need for prefitting parameters, and segmentation of millions of particles can be achieved on a desktop machine

    A 3-SNP gene risk score and a metabolic risk score both predict hypertriglyceridemia and cardiovascular disease risk.

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    BACKGROUND: Evidence on the causal link between plasma triglyceride (TG) levels and risk for cardiovascular disease (CVD) has recently emerged. Individuals with the metabolic syndrome have an increased risk for acquiring elevated TG levels later in life. Moreover, common DNA sequence variations in genes affecting TG levels identify individuals at risk for elevated plasma TG levels. OBJECTIVE: We evaluated whether a 3-single nucleotide polymorphism (SNP) TG gene risk score (GRS) and a metabolic risk score (MetRS) both improved CVD risk prediction. METHODS: A 3-SNP GRS and MetRS were generated in the EPIC-Norfolk cohort (n = 20,074) based on 3 SNPs in LPL and APOA5 or the number of Metabolic Syndrome criteria present (maximum 5), respectively. The associations between the 3-SNP GRS, MetRS, TG levels, and CVD risk were evaluated. RESULTS: The 3-SNP GRS and MetRS were both linearly associated with plasma TG levels, that is, +0.25 mmol/L [95% CI 0.22-0.27] per allele change (P < .001) and +0.72 mmol/L [95% CI 0.70-0.73] per increase of number of metabolic syndrome risk score points (P < .001), respectively. We observed a positive association between the 3-SNP GRS and the risk of CVD with an adjusted hazard ratio (HR) of 1.35 [95% CI 1.04-1.74] for the highest versus the lowest GRS, which was independent of the MetRS. For the MetRS, the adjusted HR was 2.03 [95% CI 1.73-2.40] for the highest versus the lowest MetRS. CONCLUSION: Both the 3-SNP GRS and the MetRS are associated with increased plasma TG levels and increased risk for CVD

    Segmental volvulus of the ileum without malrotation in an infant: A case report

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    AbstractIntestinal volvulus usually occur secondary to malrotation, and primary segmental volvulus has rarely been reported. A 12-month-old female infant presented with a 3-day history of excessive vomiting. An ultrasonography revealed a “whirlpool sign” in the right upper abdomen, suggesting small bowel volvulus with obstruction. Laparotomy revealed a twisted, viable loop of small bowel in the right upper abdomen, and abnormal adhesions were noted between the distal and mid ileum, with resulting mesenteric narrowing. Attempted mesenteric widening by dissection of the peritoneum overlying the adhesions failed, because of abnormal, taut mesenteric vessels. Subsequent resection of the involved segment cured the patient. Recurrent obstructive symptoms in an infant can be an atypical presentation of segmental volvulus, and segmental volvulus should be included in the differential diagnosis of such cases

    Liposomal prednisolone promotes macrophage lipotoxicity in experimental atherosclerosis

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    Atherosclerosis is a lipid-driven inflammatory disease, for which nanomedicinal interventions are under evaluation. Previously, we showed that liposomal nanoparticles loaded with prednisolone (LN-PLP) accumulated in plaque macrophages, however, induced proatherogenic effects in patients. Here, we confirmed in low-density lipoprotein receptor knockout (LDLr−/−) mice that LN-PLP accumulates in plaque macrophages. Next, we found that LN-PLP infusions at 10 mg/kg for 2 weeks enhanced monocyte recruitment to plaques. In follow up, after 6 weeks of LN-PLP exposure we observed (i) increased macrophage content, (ii) more advanced plaque stages, and (iii) larger necrotic core sizes. Finally, in vitro studies showed that macrophages become lipotoxic after LN-PLP exposure, exemplified by enhanced lipid loading, ER stress and apoptosis. These findings indicate that liposomal prednisolone may paradoxically accelerate atherosclerosis by promoting macrophage lipotoxicity. Hence, future (nanomedicinal) drug development studies are challenged by the multifactorial nature of atherosclerotic inflammation

    Bariatric surgery improves postprandial VLDL kinetics and restores insulin mediated regulation of hepatic VLDL production

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    Dyslipidemia in obesity results from excessive production and impaired clearance of triglyceride-rich (TG-rich) lipoproteins, which are particularly pronounced in the postprandial state. Here, we investigated the impact of Roux-en-Y gastric bypass (RYGB) surgery on postprandial VLDL1 and VLDL2 apoB and TG kinetics and their relationship with insulin-responsiveness indices. Morbidly obese patients without diabetes who were scheduled for RYGB surgery (n = 24) underwent a lipoprotein kinetics study during a mixed-meal test and a hyperinsulinemic-euglycemic clamp study before the surgery and 1 year later. A physiologically based computational model was developed to investigate the impact of RYGB surgery and plasma insulin on postprandial VLDL kinetics. After the surgery, VLDL1 apoB and TG production rates were significantly decreased, whereas VLDL2 apoB and TG production rates remained unchanged. The TG catabolic rate was increased in both VLDL1 and VLDL2 fractions, but only the VLDL2 apoB catabolic rate tended to increase. Furthermore, postsurgery VLDL1 apoB and TG production rates, but not those of VLDL2, were positively correlated with insulin resistance. Insulin-mediated stimulation of peripheral lipoprotein lipolysis was also improved after the surgery. In summary, RYGB resulted in reduced hepatic VLDL1 production that correlated with reduced insulin resistance, elevated VLDL2 clearance, and improved insulin sensitivity in lipoprotein lipolysis pathways.</p

    A model of near-surface coupled-flow effects on the diurnal thermal regime of a peat-covered palsa

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    The thermal regime in the moist surficial peat layer of a palsa, measured during a clear and calm July day in arctic Alaska, indicates that coupled heat and water flow retard ablation of the ice core. A simulation model of coupled-flow effects was constructed using rough estimates of meteorological boundary conditions and material properties. The model indicates that ablation is inhibited by advection of cold water above the ice/peat interface, and by internal evaporation near the surface. Evaporation also limits thermal maxima near the surface; because the ratio of the heat of evaporation to the heat of fusion is approximately 7.5, the coupled-flow regime effectively retards ablation of the palsa's ice core. Das Temperaturregime in der feuchten, oberflĂ€chennahen Torfschicht eines Pals wurde wĂ€hrend eines klaren und windstillen Julitages in der Arktis von Alaska vermessen. Es wird gezeigt, daß der gekoppelte WĂ€rme- und Wasserstrom die Ablation des Eiskernes verzögert. Ein Simulationsmodell der gekoppelten Stromeffekte wurde konstruiert, wobei grobe AbschĂ€tzungen der meteorologischen Grenzbedingungen und der Bodenbeschaffenheit angebracht wurden. Das Modell deutet an, daß die Ablation durch Advektion von kaltem Wasser oberhalb der Eis-Torf-Grenzschicht und durch interne Verdunstung nahe der OberflĂ€che behindert wird. Verdunstung beschrĂ€nkt außerdem die Temperaturmaxima nahe der OberflĂ€che. Da das VerhĂ€ltnis der latenten WĂ€rmen der Verdunstung und der Sublimation ungefĂ€hr 7,5 betrĂ€gt, verzögert das gekoppelte Stromregime effektiv die Ablation des Eiskernes der Pals.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/41663/1/703_2005_Article_BF02258484.pd

    Differential metabolic effects of oral butyrate treatment in lean versus metabolic syndrome subjects

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    Background: Gut microbiota-derived short-chain fatty acids (SCFAs) have been associated with beneficial metabolic effects. However, the direct effect of oral butyrate on metabolic parameters in humans has never been studied. In this first in men pilot study, we thus treated both lean and metabolic syndrome male subjects with oral sodium butyrate and investigated the effect on metabolism. Methods: Healthy lean males (n = 9) and metabolic syndrome males (n = 10) were treated with oral 4 g of sodium butyrate daily for 4 weeks. Before and after treatment, insulin sensitivity was determined by a two-step hyperinsulinemic euglycemic clamp using [6,6-2H2]-glucose. Brown adipose tissue (BAT) uptake of glucose was visualized using 18F-FDG PET-CT. Fecal SCFA and bile acid concentrations as well as microbiota composition were determined before and after treatment. Results: Oral butyrate had no effect on plasma and fecal butyrate levels after treatment, but did alter other SCFAs in both plasma and feces. Moreover, only in healthy lean subjects a significant improvement was observed in both peripheral (median Rd: from 71 to 82 Όmol/kg min, p < 0.05) and hepatic insulin sensitivity (EGP suppression from 75 to 82% p < 0.05). Although BAT activity was significantly higher at baseline in lean (SUVmax: 12.4 ± 1.8) compared with metabolic syndrome subjects (SUVmax: 0.3 ± 0.8, p < 0.01), no significant effect following butyrate treatment on BAT was observed in either group (SUVmax lean to 13.3 ± 2.4 versus metabolic syndrome subjects to 1.2 ± 4.1). Conclusions: Oral butyrate treatment beneficially affects glucose metabolism in lean but not metabolic syndrome subjects, presumably due to an altered SCFA handling in insulin-resistant subjects. Although preliminary, these first in men findings argue against oral butyrate supplementation as treatment for glucose regulation in human subjects with type 2 diabetes mellitus
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