222 research outputs found
Rose Snider Correspondence
No full textEntries include brief biographical information, a handwritten letter from Snider, a typed reply from the Maine State Library concerning suggestions for articles about Maine authors from the Maine Library Bulletin, and a typed letter on receipt of Snider\u27s book Satire in the Comedies of Congreve, Sheridan, Wilde, and Coward for the Maine Author Collection
Lucille Snider Parks Collection
No full textPhotograph of Neal A., Lucile, L.B., Ivan, and L.B., Jr., of the Snider Family, in Port, OK, c.1906-1907
A Wish-List from the Trenches of Health Information Technology
No full textThe Article outlines Sam Snider\u27s personal wish-list items for Trump\u27s upcoming administration to address as it relates to information technology (HIT) systems. This approach consists of highlighting items that have the potential to yield significant benefits to the healthcare IT infrastructure, concentrating in four areas: interoperability, privacy/consent, cybsersecurity, and industry involvement. While the author admits that some of the items would be difficult to incorporate, they would, in essence, bring the Office of the National Coordinator for Healthcare IT (ONC) closer to achieving their vision: \u27high-quality care, lower costs, healthy population, and engaged people.\u2
Photoshop CS4: The Missing Manual
No full textPhotoshop is the world's most widely used photo-editing and graphics program. But with all its fantastic new features and options, the CS4 version can bewilder even the most seasoned professional. That's where Photoshop CS4: The Missing Manual comes in: packed with tips, tricks, and lots of practical advice, this visually rich four-color guidebook teaches you everything you need to know to edit photos and create beautiful documents in Photoshop. Whether you're an absolute beginner or a power user ready to try some advanced techniques, author and graphics pro Lesa Snider King offers crystal-
Unsupervised Induction of Modern Standard Arabic Verb Classes Using Syntactic Frames and LSA
No full textWe exploit the resources in the Arabic Treebank (ATB) and Arabic Gigaword (AG) to determine the best features for the novel task of automatically creating lexical semantic verb classes for Modern Standard Arabic (MSA). The verbs are classified into groups that share semantic elements of meaning as they exhibit similar syntactic behavior. The results of the clustering experiments are compared with a gold standard set of classes, which is approximated by using the noisy English translations provided in the ATB to create Levin-like classes for MSA. The quality of the clusters is found to be sensitive to the inclusion of syntactic frames, LSA vectors, morphological pattern, and subject animacy. The best set of parameters yields an Fβ=1 score of 0.456, compared to a random baseline of an Fβ=1 score of 0.205.
A Streamlined Energy Efficiency Performance Indicator for Water Distribution Systems: A Case Study
No full textThis technical note investigates the validity of the energy efficiency performance indicator developed by Snider Filion (2016) for water distribution systems. This performance indicator estimates the minimum mechanical energy required in a distribution system by assessing the unavoidable energy losses due to friction, leakage, and user demand. The performance indicator provides a simplified method to calculate the energy efficiency of a water distribution system without the application of a hydraulic simulation model.
To validate the proposed streamlined approach, this technical note calculates the energy indicator using a hydraulic model and extended period simulation for a number of synthetic and real water distribution system models. A Pearson correlation coefficient of 0.958 for the overall mechanical energy efficiency indicator was calculated between the two approaches (streamlined and extended period simulation). This suggests the simpler streamlined approach may be used instead of the more complicated extended period simulation approach.The presentation of the authors' names and (or) special characters in the title of the pdf file of the accepted manuscript may differ slightly from what is displayed on the item page. The information in the pdf file of the accepted manuscript reflects the original submission by the author
Birmingham News sleeve BN0054052
No full textDr. Howard Snider - author / Walden Books Galleria / For health service / He will be signing books from noon until 2 p.m. at the location. / [Work order included
Unsupervised Induction of Modern Standard Arabic Verb Classes
No full textWe exploit the resources in the Arabic Treebank (ATB) for the novel task of automatically creating lexical semantic verb classes for Modern Standard Arabic (MSA). Verbs are clustered into groups that share semantic elements of meaning as they exhibit similar syntactic behavior. The results of the clustering experiments are compared with a gold standard set of classes, which is approximated by using the noisy English translations provided in the ATB to create Levin-like classes for MSA. The quality of the clusters is found to be sensitive to the inclusion of information about lexical heads of the constituents in the syntactic frames, as well as parameters of the clustering algorithm. The best set of parameters yields an Fβ=1 score of 0.501, compared to a random baseline with an Fβ=1 score of 0.37
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