11,021 research outputs found

    Antimicrobial Activity of the Quinoline Derivative HT61 against Staphylococcus aureus Biofilms.

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    Staphylococcus aureus biofilms are a significant problem in health care settings, partly due to the presence of a nondividing, antibiotic-tolerant subpopulation. Here we evaluated treatment of S. aureus UAMS-1 biofilms with HT61, a quinoline derivative shown to be effective against nondividing Staphylococcus spp. HT61 was effective at reducing biofilm viability and was associated with increased expression of cell wall stress and division proteins, confirming its potential as a treatment for S. aureus biofilm infections

    Efficient spatio-temporal sensor deployments: A smart building application

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    © 2017 IEEE. The paper addresses the problem of efficiently deploying sensors in spatial environments, e.g. smart buildings, for the purpose of monitoring environmental phenomena. By modelling the environmental fields using spatio-temporal Gaussian processes, a new and efficient optimality criterion of minimizing prediction uncertainties is proposed to find the best sensor locations. Though the environmental processes spatially and temporally vary, the proposed approach of choosing sensor positions is not affected by time variations, which significantly reduces computational complexity of the optimization problem. The sensor deployment problem is then solved by a practically and feasibly polynomial algorithm, where its solutions are guaranteed. The proposed approaches were implemented in a real tested space in a university building, where the obtained results are highly promising

    Spatio-temporal environmental monitoring for smart buildings

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    © 2017 IEEE. The paper addresses the problem of efficiently monitoring environmental fields in a smart building by the use of a network of wireless noisy sensors that take discretely-predefined measurements at their locations through time. It is proposed that the indoor environmental fields are statistically modeled by spatio-temporal non-parametric Gaussian processes. The proposed models are able to effectively predict and estimate the indoor climate parameters at any time and at any locations of interest, which can be utilized to create timely maps of indoor environments. More importantly, the monitoring results are practically crucial for building management systems to efficiently control energy consumption and maximally improve human comfort in the building. The proposed approach was implemented in a real tested space in a university building, where the obtained results are highly promising

    Efficient Sensor Deployments for Spatio-Temporal Environmental Monitoring

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    IEEE This paper addresses the problem of efficiently deploying sensors in spatial environments, e.g., buildings, for the purposes of monitoring spatio-temporal environmental phenomena. By modeling the environmental fields using spatio-temporal Gaussian processes, a new and efficient optimality-cost function of minimizing prediction uncertainties is proposed to find the best sensor locations. Though the environmental processes spatially and temporally vary, the proposed approach of choosing sensor positions is proven not to be affected by time variations, which significantly reduces computational complexity of the optimization problem. The sensor deployment optimization problem is then solved by a practical and feasible polynomial algorithm, where its solutions are theoretically proven to be guaranteed. The proposed method is also theoretically and experimentally compared with the existing works. The effectiveness of the proposed algorithm is demonstrated by implementation in a real tested space in a university building, where the obtained results are highly promising

    ART sealants in Chinese schoolchildren - six-year results

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    ART restorations and sealants in Chinese schoolchildren - three-year results

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    ART restorations in Chinese schoolchildren - six-year results

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    The pattern of paediatric respiratory illnesses admitted in Ebonyi state university teaching hospital south east Nigeria

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    Background: Reports from the developed nations reveal respiratory tract infections as the leading cause of childhood hospital admissions. Children may be admitted for a variety of respiratory illnesses. Data on the spectrum of pediatric respiratory illnesses admitted in the hospital is scarce. Aim: To determine the pattern of pediatrics respiratory illness admissions, seasonal frequency, underlying risk factors and outcome. Subjects and Methods: A retrospective assessment of respiratory cases admitted in the pediatric ward from 2005 to 2010 was conducted using case notes. Parameters considered included month of presentation, age, sex, immunization and nutritional status, tools of diagnosis and patient outcome. Results were analyzed using the Statistical Package for the Social Sciences with the level of significance P ≤ 0.05. Results: Of the 239 cases admitted, there were more males than females (1.4:1). The commonest case was Bronchopneumonia, 71.6% (171/239 out of which 161 were uncomplicated, 5 had effusions and 6 were associated with measles). Other cases were Pulmonary Tuberculosis, 10.9% (26/239), Lobar pneumonia 8.8% (21/239), Bronchiolitis, 5% (12/239), Aspiration pneumonitis 2.1% (5/239) and Bronchial asthma, 0.8% (2/239). Mortality was 7.5% (18/239) mostly from Bronchopneumonia amongst the 1–5 years old. Mortality was significantly associated with malnutrition (P < 0.001) and poor immunization status (P < 0.01). Conclusion: Bronchopneumonia was found to be the commonest illness with significant mortality and peak occurrence in the rainy season. More emphasis must be laid on anticipatory guidance and prevention by encouraging the immunization, good nutrition and increased attention on children even after 1 year of age.Keywords: Admissions, Ebonyi, Nigeria, Pattern, Respiratory illnes

    A Candidate Sub-Parsec Supermassive Binary Black Hole System

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    We identify SDSS J153636.22+044127.0, a QSO discovered in the Sloan Digital Sky Survey, as a promising candidate for a binary black hole system. This QSO has two broad-line emission systems separated by 3500 km/sec. The redder system at z=0.3889 also has a typical set of narrow forbidden lines. The bluer system (z=0.3727) shows only broad Balmer lines and UV Fe II emission, making it highly unusual in its lack of narrow lines. A third system, which includes only unresolved absorption lines, is seen at a redshift, z=0.3878, intermediate between the two emission-line systems. While the observational signatures of binary nuclear black holes remain unclear, J1536+0441 is unique among all QSOs known in having two broad-line regions, indicative of two separate black holes presently accreting gas. The interpretation of this as a bound binary system of two black holes having masses of 10^8.9 and 10^7.3 solar masses, yields a separation of ~ 0.1 parsec and an orbital period of ~100 years. The separation implies that the two black holes are orbiting within a single narrow-line region, consistent with the characteristics of the spectrum. This object was identified as an extreme outlier of a Karhunen-Loeve Transform of 17,500 z < 0.7 QSO spectra from the SDSS. The probability of the spectrum resulting from a chance superposition of two QSOs with similar redshifts is estimated at 2X10^-7, leading to the expectation of 0.003 such objects in the sample studied; however, even in this case, the spectrum of the lower redshift QSO remains highly unusual.Comment: 8 pages, 2 figures, Nature in pres
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