Prose Comprehension and Text Search as a Function of Reading Volume

1984 ◽  
Vol 19 (3) ◽  
pp. 331 ◽  
Author(s):  
Irwin S. Kirsch ◽  
John T. Guthrie
Keyword(s):  
Data Science ◽  
2019 ◽  
Vol 2 (1-2) ◽  
pp. 205-227 ◽  
Author(s):  
Ivan Heibi ◽  
Silvio Peroni ◽  
David Shotton
Keyword(s):  

2009 ◽  
Vol E92-D (12) ◽  
pp. 2369-2377 ◽  
Author(s):  
Katsuya MASUDA ◽  
Jun'ichi TSUJII
Keyword(s):  

2013 ◽  
Vol 284-287 ◽  
pp. 3428-3432 ◽  
Author(s):  
Yu Hsiu Huang ◽  
Richard Chun Hung Lin ◽  
Ying Chih Lin ◽  
Cheng Yi Lin

Most applications of traditional full-text search, e.g., webpage search, are offline which exploit text search engine to preview the texts and set up related index. However, applications of online realtime full-text search, e.g., network Intrusion detection and prevention systems (IDPS) are too hard to implementation by using commodity hardware. They are expensive and inflexible for more and more occurrences of new virus patterns and the text cannot be previewed and the search must be complete realtime online. Additionally, IDPS needs multi-pattern matching, and then malicious packets can be removed immediately from normal ones without degrading the network performance. Considering the problem of realtime multi-pattern matching, we implement two sequential algorithms, Wu-Manber and Aho-Corasick, respectively over GPU parallel computation platform. Both pattern matching algorithms are quite suitable for the cases with a large amount of patterns. In addition, they are also easier extendable over GPU parallel computation platform to satisfy realtime requirement. Our experimental results show that the throughput of GPU implementation is about five to seven times faster than CPU. Therefore, pattern matching over GPU offers an attractive solution of IDPS to speed up malicious packets detection among the normal traffic by considering the lower cost, easy expansion and better performance.


Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
uzoma obiaka ◽  
Anna Chow ◽  
Jen Lie Yau ◽  
Valeria Matto Morina ◽  
Shubhika Srivastava

Background: The incidence of congenital mitral valve disease is 0.4%; Double Orifice Mitral Valve (DOMV) and Parachute Mitral Valve (PMV) are two morphologic pathologies that may result in mitral valve dysfunction. The objectives of this study are 1) To describe valve function and progression and 2) To define factors contributing to disease progression. Methods: Retrospective database review. Fyler codes for DOMV, PMV and text search was performed. Echocardiographic images, echo reports, and chart review were used to identify mitral regurgitation (MR), mitral stenosis (MS), morphology, and associated lesions. Results: 39 patients with DOMV and 76 patients with PMV were identified. In the DOMV cohort, 51% were male, median age at diagnosis was 0.17 years (IQR 0.01, 3.88); median follow-up of 5.92 years (IQR 0.46, 10.22). In the PMV cohort, 44% were male, median age at diagnosis at was 0.01 years (IQR 0, 0.34); median follow-up of 2.56 years (IQR 0.25, 9.55). 41% of DOMV and 23% of patients with PMV had normal valve function at initial visit. DOMV was associated with MR (p=0.04), and PMV with MS (p<0.0001). 23% of patients in the PMV cohort had progressive MS compared to 5% of patients in the DOMV cohort (p<0.0001). There was no significant difference in MR progression between both groups (p=0.02). Papillary muscle (PM) morphology was evaluated in 37 (excluding canals) of 76 patients in the PMV cohort. 5 had true PMV (single PM), 32 had variant PMV with two PM groups of which 62.5% had dominant posterior medial PM. 67% of those with posterior medial PM dominance had progressive MS irrespective of association with Shone’s complex. The anterolateral PM muscle group dominant PMV were not associated with Shone’s complex and progressive MS. Conclusion: DOMV are more likely to have MR while PMV are more likely to have MS. DOMV has non progressive MR and MS. Posterior medial PM dominance in PMV is more likely to have progressive MS.


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