59,674 research outputs found
Anaerobic degradation of chlorophenols by 2,4-dichlorophenol-adapted microbial communities at different concentrations
No full textAerobic nonylphenol degradation and nitro-nonylphenol formation by microbial cultures from sediments
No full textNonylphenol (NP) is an estrogenic pollutant which is widely present in the aquatic environment. Biodegradation of NP can reduce the toxicological risk. In this study, aerobic biodegradation of NP in river sediment was investigated. The sediment used for the microcosm experiments was aged polluted with NP. The biodegradation of NP in the sediment occurred within 8 days with a lag phase of 2 days at 30°C. During the biodegradation, nitro-nonylphenol metabolites were formed, which were further degraded to unknown compounds. The attached nitro-group originated from the ammonium in the medium. Five subsequent transfers were performed from original sediment and yielded a final stable population. In this NP-degrading culture, the microorganisms possibly involved in the biotransformation of NP to nitro-nonylphenol were related to ammonium-oxidizing bacteria. Besides the degradation of NP via nitro-nonylphenol, bacteria related to phenol-degrading species, which degrade phenol via ring cleavage, are abundantly presen
The Business Intelligence as a Service in the Cloud
Full text linkLimitations imposed by the traditional practice in financial institutions of running risk analysis on the desktop mean many rely on models which assume a “normal” Gaussian distribution of events which can seriously underestimate the real risk. In this paper, we propose an alternative service which uses the elastic capacities of Cloud Computing to escape the limitations of the desktop and produce accurate results more rapidly.The Business Intelligence as a Service (BIaaS) in the Cloud has a dual-service approach to compute risk and pricing for financial analysis. The first type of BIaaS service uses three APIs to simulate the Heston Model to compute the risks and asset prices, and computes the volatility (unsystematic risks) and the implied volatility (systematic risks) which can be tracked down at any time. The second type of BIaaS service uses two APIs to provide business analytics for stock market analysis, and compute results in the visualised format, so that stake holders without prior knowledge can understand. A full case study with two sets of experiments is presented to support the validity and originality of BIaaS. Additional three examples are used to support accuracy of the predicted stock index movement as a result of the use of the Heston Model and its associated APIs.We describe the architecture of deployment, together with examples and results which show how our approach improves risk and investment analysis and maintaining accuracy and efficiency whilst improving performance over desktops
Asymptotic behavior of <em>BV</em> functions and sets of finite perimeter in metric measure spaces
No full textAbstractIn this paper, we study the asymptotic behavior of BV functions in complete metric measure spaces equipped with a doubling measure supporting a 1-Poincaré inequality. We show that at almost every point x outside the Cantor and jump parts of a BV function, the asymptotic limit of the function is a Lipschitz continuous function of least gradient on a tangent space to the metric space based at x.We also show that, at co-dimension 1 Hausdorff measure almost every measure-theoretic boundary point of a set (Ε) of finite perimeter, there is an asymptotic limit set Ε∞ corresponding to the asymptotic expansion of Ε and that every such asymptotic limit (Ε)∞ is a quasiminimal set of finite perimeter. We also show that the perimeter measure of Ε∞ is Ahlfors co-dimension 1 regular. Abstract
In this paper, we study the asymptotic behavior of BV functions in complete metric measure spaces equipped with a doubling measure supporting a 1-Poincaré inequality. We show that at almost every point x outside the Cantor and jump parts of a BV function, the asymptotic limit of the function is a Lipschitz continuous function of least gradient on a tangent space to the metric space based at x.We also show that, at co-dimension 1 Hausdorff measure almost every measure-theoretic boundary point of a set (Ε) of finite perimeter, there is an asymptotic limit set Ε∞ corresponding to the asymptotic expansion of Ε and that every such asymptotic limit (Ε)∞ is a quasiminimal set of finite perimeter. We also show that the perimeter measure of Ε∞ is Ahlfors co-dimension 1 regular
Characterization of the compact operators on the class (bv,bvkθ)
No full textThe space bv, the set of all bounded variation sequences, has an important role in the summability theory. In recent study, this spaces has been extended to the space bvk? and some matrix class on this space has been characterized [2]. In the present paper, for 1 ? k ?, computing Hausdorff measure of non-compactness, we characterize compact operators in the class (bv, bvk?), where ? is a sequence of positive numbers. © 2019 Author(s)
A lower semicontinuity result for functionals on BV.
No full textIn this work the author deals with some very important problems in the calculus of variations related to the functional|
that can be considered as the natural extension to BV(Ω) of the functional
f(x,u,Du)dx, u ∈ W1,1(Ω) [see G. Dal Maso, Manuscripta Math. 30 (1979/80), no. 4, 387–416; MR0567216]. The author generalizes her results from another paper [Boll. Un. Mat. Ital. B (7) 5 (1991), no. 2, 291–313] and proves that F is lower semicontinuous, along sequences bounded in BV(Ω), relative to the strong topology of L1(Ω). The interest of the result is based on two facts: (i) the integrand f(x,s,p) is dependent on x, while in the above-mentioned paper by the author it was not so; (ii) the integrand f (x, s, p), which was supposed in Dal Maso’s paper [op. cit.] to be lower semicontinous relative to s, is not so in the present paper
Glabridin inhibits lipopolysaccharide‐induced activation of a microglial cell line, BV‐2, by blocking NF‐κB and AP‐1
No full textGlabridin, a flavonoid present in licorice root, is known to have antiinflammatory and cardiovascular protective activities. The present study reports an inhibitory effect of glabridin on microglial activation. Glabridin dose-dependently attenuated lipopolysaccharide (LPS)-induced production of inflammatory mediators, including nitric oxide, tumor necrosis factor-α and interleukin-1β, in BV-2 cells, a murine microglia cell line. Moreover, mRNA expression of these inflammatory mediators was also suppressed by glabridin in LPS-stimulated BV-2 cells. Further study demonstrated that glabridin inhibited LPS-induced DNA binding activity of NF-κB and AP-1 in BV-2 cells. Collectively, the results presented in this report demonstrate that glabridin inhibits the production of inflammatory mediators in BV-2 cells and this is mediated, at least in part, by blocking NF-κB and AP-1 activation. The results suggest that glabridin might be a potential therapeutic agent for the treatment of neuroinflammatory and neurodegenerative diseases.open
A Novel Approach to Predict 24-Hour Energy Expenditure Based on Hematologic Volumes: Development and Validation of Models Comparable to Mifflin-St Jeor and Body Composition Models
No full textBackground Accurate prediction of 24-hour energy expenditure (24EE) relies on knowing body composition, in particular fat-free mass (FFM), the largest determinant of 24EE. FFM is closely correlated with hematologic volumes: blood volume (BV), red cell mass (RCM), and plasma volume (PV). However, it is unknown whether predicted hematologic volumes, based on easily collected variables, can improve 24EE prediction.
Objective The aim was to develop and validate equations to predict 24EE based on predicted BV, RCM, and PV and to compare the accuracy and agreement with models developed from FFM and with the Mifflin-St Jeor equation, which is recommended for clinical use by the Academy of Nutrition and Dietetics.
Design Participants had body composition measured by underwater weighing and 24EE by respiratory chamber. BV, RCM, and PV were calculated from five published equations.
Participants/setting Native American and white men and women were studied (n=351). Participants were healthy adults aged 18 to 49 years from the Phoenix, AZ, metropolitan area.
Main outcome measure Accuracy to within +/- 10% of measured 24EE and agreement by Bland-Altman analysis.
Statistical analysis Regression models to predict 24EE from hematologic and body composition variables were developed in half the dataset and validated in the other half.
Results Hematologic volumes were all strongly correlated with FFM in both men and women (r >= 0.94). Whereas the accuracy of FFM alone was 69%, four hematologic volumes were individually more accurate (75% to 78%) in predicting 24EE. Equations based on hematologic volumes plus demographics had mean prediction errors comparable to those based on body composition plus demographics; although the Mifflin-St Jeor had modestly better mean prediction error, body composition, hematologic, and Mifflin-St Jeor models all had similar accuracy (approximately 80%).
Conclusions Prediction equations based on hematologic volumes were developed, validated, and found to be comparable to Mifflin-St Jeor and body composition models in this population of healthy adults
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