Query Profiler Versus Cache for Skyline Computation

A skyline query is multi preference user query which generates the best objects from a multi attributed dataset. Skyline computation in an optimum time becomes a real challenge when the number of user preference are large and size of the dataset is also huge. When such a big data gets queried at large, response time optimization is possible through maintenance of the metadata about the pre-executed skyline queries. We have earlier proposed, a novel structure namely �Query Profiler� which preserves such metadata about the historical queries, raised against a dataset. Also as the dataset gets queried at large, the dimensions of user queries often overlap and queries get correlated. Such correlations in user queries and the availability of metadata about the earlier queries, combined together speed up the computation time and the optimization of the response time of the further skyline computation becomes possible. In this paper, we assert the efficacy of the Query Profiler by comparing its performance with the parallel techniques which utilize cache mechanism for optimization of the response time. We also present the experimental results which assert the efficacy of the proposed technique

Modelling EEG Dataset for Stress State Recognition using Decision Tree Approach

Electroencephalography (EEG) is a predominant tool for learning the stress behavior. This work concentrates towards stress detection by means of eye states. This work proposes a framework which would be supportive in identifying human stress level and as an outcome, distinguishes a normal or stressed person. In this work, we used decision trees, carried out the performance analysis and found that it gives good performance in recognizing the stress states. This analysis is performed with reference to eye state: whether eyes are closed indicating rest, open eyes with blinks

Effect of prepregnancy body mass index and gestational weight gain on birth weight

Objective: Nutritional status of women has been considered an important prognostic indicator of birth outcome. The study aims to show the effect of various prepregnancy Body Mass Index (BMI) categories and corresponding gestational weight gain on newborn birth weight.Methods: Two hundred women were included in the study. These women had regular antenatal visits and later delivered at The Aga Khan University Hospital (AKUH) between the period January 1, 1996 to December 31, 1997.Results: For women with prepregnancy BMI \u3c 19., mean birth weight of newborns was lower for those gaining \u3c 12.5 kg than those gaining \u3e 12.5 kg (P \u3c 0.001). Women who started their pregnancy with BMI 19.8-26 and gained weight above expected range gave birth to high birth weight babies (P = 0.009). Gestational weight gain did not have a significant association with birth weight for women having prepregnancy BMI \u3e 26.Conclusion: Efforts should be made to attain adequate prepregnancy weight to reduce the likelihood of low birth weight babies. Hence, special attention should be paid to women with low prepregnancy BMI

The Undesirable Communication: A Case of Cerebral Air Emboli in the Setting of Atrio-Esophageal Fistula Following Atrial Fibrillation Catheter Ablation

Atrial-esophageal fistula is an extremely rare condition but is often a deleterious complication following catheter ablation for atrial fibrillation. The associated iatrogenic communication acts as a conduit for air and bacterial translocation, which may lead to cerebral air embolism and polymicrobial sepsis, respectively. Coupled with a history of invasive procedures, the diagnosis is largely based on the accompanying neurological symptoms. In this report, we present the case of a 73-year-old female who presented with neurological deficits attributed to cerebral vascular emboli three weeks after catheter ablation for the treatment of chronic atrial fibrillation

Web Document Clustering Using Document Index Graph

Document Clustering is an important tool for many Information Retrieval (IR) tasks. The huge increase in amount of information present on web poses new challenges in clustering regarding to underlying data model and nature of clustering algorithm. Document clustering techniques mostly rely on single term analysis of document data set. To achieve more accurate document clustering, more informative feature such as phrases are important in this scenario. Hence first part of the paper presents phrase-based model, Document Index Graph (DIG), which allows incremental phrase-based encoding of documents and efficient phrase matching. It emphasizes on effectiveness of phrase-based similarity measure over traditional single term based similarities. In the second part, a Document Index Graph based Clustering (DIGBC) algorithm is proposed to enhance the DIG model for incremental and soft clustering. This algorithm incrementally clusters documents based on proposed clusterdocument similarity measure. It allows assignment of a document to more than one cluster. The DIGBC algorithm is more efficient as compared to existing clustering algorithms such as single pass, K-NN and Hierarchical Agglomerative Clustering (HAC) algorithm

Global respiratory syncytial virus-related infant community deaths

Background: Respiratory syncytial virus (RSV) is a leading cause of pediatric death, with \u3e99% of mortality occurring in low- and lower middle-income countries. At least half of RSV-related deaths are estimated to occur in the community, but clinical characteristics of this group of children remain poorly characterized.Methods: The RSV Global Online Mortality Database (RSV GOLD), a global registry of under-5 children who have died with RSV-related illness, describes clinical characteristics of children dying of RSV through global data sharing. RSV GOLD acts as a collaborative platform for global deaths, including community mortality studies described in this supplement. We aimed to compare the age distribution of infant deaths \u3c6 months occurring in the community with in-hospital.Results: We studied 829 RSV-related deaths \u3c1 year of age from 38 developing countries, including 166 community deaths from 12 countries. There were 629 deaths that occurred \u3c6 months, of which 156 (25%) occurred in the community. Among infants who died before 6 months of age, median age at death in the community (1.5 months; IQR: 0.8-3.3) was lower than in-hospital (2.4 months; IQR: 1.5-4.0; P \u3c .0001). The proportion of neonatal deaths was higher in the community (29%, 46/156) than in-hospital (12%, 57/473, P \u3c 0.0001).Conclusions: We observed that children in the community die at a younger age. We expect that maternal vaccination or immunoprophylaxis against RSV will have a larger impact on RSV-related mortality in the community than in-hospital. This case series of RSV-related community deaths, made possible through global data sharing, allowed us to assess the potential impact of future RSV vaccines

A Poincar\'e-Birkhoff theorem for tight Reeb flows on S3S^3

We consider Reeb flows on the tight $3$-sphere admitting a pair of closed orbits forming a Hopf link. If the rotation numbers associated to the transverse linearized dynamics at these orbits fail to satisfy a certain resonance condition then there exist infinitely many periodic trajectories distinguished by their linking numbers with the components of the link. This result admits a natural comparison to the Poincar\'e-Birkhoff theorem on area-preserving annulus homeomorphisms. An analogous theorem holds on $SO(3)$ and applies to geodesic flows of Finsler metrics on $S^2$.Comment: 67 pages. To appear in Inventiones Mathematica

Comparative activity of tedizolid and glycopeptide combination therapies for the treatment of Staphylococcus aureus infections: an in vitro and in vivo evaluation against strains with reduced susceptibility to glycopeptides

Investigator Initiated Research Grant from Merck Sharpe and Dohme Ltd