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LionRank: lion algorithm-based metasearch engines for re-ranking of webpages

Science China(Information Sciences) 2018年第12期61卷 65-80页

作者： P.VIJAYA satish chander Waljat College of Applied Sciences

Due to the rapid growth of the web, the process of collecting the relevant web pages based on the user query is one of the major challenging tasks in recent days. Hence, it is very complicated for the users to know the most relevant information even though various search engines are widely employed. To deal with users' trouble in identifying the relevant information from the web, we have proposed a meta-lion search engine to capture and analyze the ranking scores of various search engines and thereby, generate the re-ranked score results. Accordingly, LionRank, a lion algorithm-based meta-search engine is proposed for the re-ranking of the web pages. Here, different features like text based, factor based, rank based and classifier based features are used by the underlying search engines. In classifier based feature extraction,we have used the fuzzy integrated extended nearest neighbor(FENN) classifier to include the semantics in feature extraction. Moreover, an intelligent re-ranking process is proposed based on the lion algorithm to fuse the features scores optimally. Finally, the results of the proposed LionRank is analyzed with the web page database collected through four benchmark queries, and the quantitative performance are analyzed using precision, recall, and F-score. From the results, we proved that the proposed LionRank obtained the maximum F-score of 81% as compared with that of existing search engines like QuadRank, Outrank, Google,Yahoo, and Bing.

关键词： web technology meta-search engine feature extraction lion algorithm FENN classifier

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Association of periodontal disease with glycemic control in patients with type 2 diabetes in Indian population

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Frontiers of Medicine 2017年第1期11卷 110-119页

作者： Palka Kaur Khanuja satish chander Narula Rajesh Rajputt Rajinder Kumar Sharma Shikha Tewari Department of Periodontics and Oral Implantology PGIDS Post Graduate Institute of Dental Sciences Rohtak Haryana 124001 India Department of Medicine Unit VII and Endocrinology PGIMS Post Graduate Institute of Medical Sciences Rohtak Haryana 124001 India

This study aims to investigate the link between glycated hemoglobin and diabetic complications with chronic periodontitis. A total of 207 patients with type 2 diabetes and chronic periodontitis （CP） were divided according to tertiles of mean PISA （periodontal inflamed surface area） scores as low, middle and high PISA groups. Simultaneously a group of 67 periodontally healthy individuals （PH） was recruited. Periodontal examinations, including full-mouth assessment of probing depths （PPD）, bleeding on probing, clinical attachment level and plaque scores were determined. Blood analyses were carried out for glycated hemoglobin （HbA1c）, fasting plasma glucose （FPG）, 2 h post parandial glucose （PPG）. Individuals in PH group had significantly better glycemic control than CP group. Upon one-way analysis of variance, subjects with increased PISA had significantly higher HbA1c levels, retinopathy and nephropathy （P 〈 0.05）. After controlling for age, gender, body mass index （BMI）, socioeconomic status （SES）, family history of diabetes and periodontitis, duration of diabetes, the mean PISA in mm^2, PPD 4-6 mm （%） and PPD ≥7 mm （%） emerged as significant predictors for elevated HbAlc in regression model （P 〈 0.05）. Logistic regression analysis revealed that PISA was associated with higher risk of having retinopathy and neuropathy （odds ratio）. In our study, the association between glycemic control and diabetic complications with periodontitis was observed.

关键词： type 2 diabetes mellitus hemoglobin A glycated chronic periodontitis

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