315 research outputs found

    A Gradient Multiobjective Particle Swarm Optimization

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    An adaptive gradient multiobjective particle swarm optimization (AGMOPSO) algorithm, based on a multiobjective gradient (MOG) method, is developed to improve the computation performance. In this AGMOPSO algorithm, the MOG method is devised to update the archive to improve the convergence speed and the local exploitation in the evolutionary process. Attributed to the MOG method, this AGMOPSO algorithm not only has faster convergence speed and higher accuracy but also its solutions have better diversity. Additionally, the convergence is discussed to confirm the prerequisite of any successful application of AGMOPSO. Finally, with regard to the computation performance, the proposed AGMOPSO algorithm is compared with some other multiobjective particle swarm optimization (MOPSO) algorithms and two state-of-the-art multiobjective algorithms. The results demonstrate that the proposed AGMOPSO algorithm can find better spread of solutions and have faster convergence to the true Pareto-optimal front

    Intelligent Modeling Approach to Predict Effluent Quality of Wastewater Treatment Process

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    Monitoring of effluent quality remains a challenge to the wastewater treatment process (WWTP). In order to provide a reliable tool for the online monitoring of effluent quality, an intelligent modeling approach, which consists of online sensors and an effluent quality predicting plant, is developed to predict effluent quality in this chapter. The intelligent modeling approach, based on a self-organizing fuzzy neural network (SOFNN), is able to enhance the modeling performance by organizing the structure and adjusting the parameters simultaneously. The experimental studies of intelligent modeling approach have been performed on several systems to verify the effectiveness. The comparison with other existing methods has been made and demonstrated that the intelligent modeling approach is of better performance

    TMRT observations of 26 pulsars at 8.6 GHz

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    Integrated pulse profiles at 8.6~GHz obtained with the Shanghai Tian Ma Radio Telescope (TMRT) are presented for a sample of 26 pulsars. Mean flux densities and pulse width parameters of these pulsars are estimated. For eleven pulsars these are the first high-frequency observations and for a further four, our observations have a better signal-to-noise ratio than previous observations. For one (PSR J0742-2822) the 8.6~GHz profiles differs from previously observed profiles. A comparison of 19 profiles with those at other frequencies shows that in nine cases the separation between the outmost leading and trailing components decreases with frequency, roughly in agreement with radius-to-frequency mapping, whereas in the other ten the separation is nearly constant. Different spectral indices of profile components lead to the variation of integrated pulse profile shapes with frequency. In seven pulsars with multi-component profiles, the spectral indices of the central components are steeper than those of the outer components. For the 12 pulsars with multi-component profiles in the high-frequency sample, we estimate the core width using gaussian fitting and discuss the width-period relationship.Comment: 33 pages, 49 figures, 5 Tables; accepted by Ap

    Successful cervicothoracic esophageal stricture treatment with partial sternectomy and a pedicled TAAP flap: A case report

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    Postoperative benign esophageal anastomotic leakage and stenosis are common complications after esophagectomy. Treatment options for anastomosis stenosis include endoscopic mechanical dilation, dilation-combined steroid injection, incisional therapy, stent placement, and self-bougienage. However, long-segmental cervicothoracic esophageal stenosis and cutaneous fistula are always refractory to conservative treatments and are clinically challenging. When lesions extend well below the thoracic inlet, transthoracic esophagectomy and alimentary canal reconstruction seem to be the common choice but are susceptible to perioperative mortality and donor-site sequelae, especially for patients with poor health conditions. In this report, we present a novel surgical approach for cervicothoracic esophageal stenosis and fistula via partial sternectomy and reconstruction with a pedicled thoracoacromial artery perforator flap. No recurrence or complications occurred throughout 3 months of follow-up. This case study adds new perspectives to the treatment of anastomotic stenosis

    Development of a Doxycycline Hydrochloride-Loaded Electrospun Nanofibrous Membrane for GTR/GBR Applications

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    A drug-loaded membrane was prepared by electrospinning Poly ε-caprolactone (PCL) with doxycycline hydrochloride (DOX) (15–25% w/w). Scanning electron microscopy (SEM) images revealed that fibrous average diameter decreased from 247.16±57.61 nm to 194.43±43.33 nm with the drug proportion increasing from 15% to 20% w/w, while there was no significant difference between 20% and 25% groups. The polymer matrix showed good encapsulation value (58–75%) for DOX, and the drug showed an amorphous manner in the polymer matrix. The agar diffusion test revealed that DOX-loaded membranes had an obvious inhibited effect on Aggregatibacter actinomycetemcomitans (Aa) and Porphyromonas gingivalis (Pg), respectively. In vitro release test showed that DOX could persistently be released for a prolonged time more than 28 days, and the DOX level in the eluent steadied at 3–5 μg/mL which was all above the minimum inhibitory concentration (MIC) of DOX against Aa (0.125 μg/mL) and Pg (0.0625 μg/mL). Cytocompatibility, assessed in human periodontal ligament cells (hPLCs) by MTT-test and the morphology of cells on the surface of DOX-loaded membranes by SEM, indicated that all of the investigated nanofibrous membranes can be used to treat periodontal disease by integrating the GTR/GBR operation and antibiotic therapy. Above all, DOX-loaded nanofibrous membranes could have a persistent inhibited effect on periodontal pathogens to provide a relatively sterile environment for tissue repair and regeneration
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