10,596 research outputs found
W. Lewis Civil War letter
No full textThis collection contains a letter written in November 1864 by W. Lewis, then stationed at DeValls, Bluff, Ark. The author is believed to be Walter Lewis of Company F of the 20th Iowa Infantry
Mike Lewis as Santa, Dec. 16, 1952
No full textMike Lewis as Santa, Dec. 16, 1952, b&w. Note on back reads: Mike Lewis, Dec. 16, 1952.https://mds.marshall.edu/huntington_parks_and_rec_collection/1000/thumbnail.jp
George Lewis, Mike Ballard
No full textpicture of Dr. George Lewis and Dr. Mike Ballard in the library during a reception for Anne Wellshttps://scholarsjunction.msstate.edu/ua-photo-collection/3590/thumbnail.jp
Michael Lewis: Journalist and Bestselling Author
No full textMichael Lewis is a New York Times bestselling author who has written more than a dozen books on subjects ranging from politics to Wall Street. His recently released book, Fifth Risk, explores mismanagement in federal government.
His other books include The Big Short, Moneyball and The Blind Side - all of which were made into movies. Another, Liar\u27s Poker, was based partly on his experience as a bond salesman at Salomon Brothers.
Lewis is a sharp observer of politics, finance and the evolution of American culture, combining keen insight with a sharp sense of humor. He is a columnist for Bloomberg News and a contributing writer to Vanity Fair. His articles have also appeared in The New York Times Magazine, The New Yorker and Sports Illustrated
Interviews with Albert Callan, Mike Hanson, Mrs. Williams, and Joe Young, September 1980
No full textCassette recordingInterviews conducted by Arthur H. Lewis with Albert Callan, Mike Hanson, Mrs. Williams, and Joe Young, September 15-17, 1980.
Mike Hanson was the town road supervisor of Old Chatham, New York and was Luks's driver. Joe Young was the mail carrier in Old Chatham, New York. Mrs. John Williams was the director of the Shaker Museum
Mike Lewis catches ball against West Virginia, University of Maryland football, September 19, 1981
No full textUniversity of Maryland football player Mike Lewis (#11) catches ball in game against West Virginia University, September 19, 1981
Empowering our Citzens & our Communities: Building an Engine for Social & Economic Change
No full textMike Lewis, principal investigator of the BC-Alberta Social Economy Research Alliance (BALTA), gave several presentations in November 2006 as part of a speaking tour in Germany. His topic was the Canadian Experience in building territorial approaches to community revitalization. The presentation drew on BALTA research regarding the social and solidarity economies.BC-Alberta Social Economy Research Alliance (BALTA) ; Social Sciences and Humanities Research Council of Canada (SSHRC
Could Scott have survived with today's physiological knowledge?
No full textIn 1911, members of a British expedition walked across the Antarctic to the South Pole, but in the punishingly hostile environment, retracing their steps back to the edge of the continent proved fatal. Over the last 100 years, knowledge about human physiology has greatly increased and, on the centenary of this most extreme of all journeys, this essay explores the true extent of the physiological stress experienced by the men involved and whether their fate was inevitabl
Combined distributional and logical semantics
No full textUnderstanding natural language sentences requires interpreting words, and combining
the meanings of words into the meanings of sentences. Despite much work on lexical
and compositional semantics individually, existing approaches are unlikely to offer a
complete solution. This thesis introduces a new approach, which combines the benefits
of distributional lexical semantics and logical compositional semantics.
Linguistic theories of compositional semantics have shown how logical forms can
be built for sentences, and how to represent semantic operators such as negatives,
quantifiers and modals. However, computational implementations of such theories
have shown poor performance on applications, mainly due to a reliance on incomplete
hand-built ontologies for the meanings of content words. Conversely, distributional semantics
has been shown to be effective in learning the representations of content words
based on collocations in large unlabelled corpora, but there are major outstanding challenges
in representing function words and building representations for sentences.
I introduce a new model which captures the main advantages of logical and distributional
approaches. The proposal closely follows formal semantics, except for changing
the definitions of content words. In traditional formal semantics, each word would
express a different symbol. Instead, I allow multiple words to express the same symbol,
corresponding to underlying concepts. For example, both the verb write and the noun
author can be made to express the same relation. These symbols can be learnt by clustering
symbols based on distributional statistics—for example, write and author will
share many similar arguments. Crucially, the clustering means that the representations
are symbolic, so can easily be incorporated into standard logical approaches.
The simple model proves insufficient, and I develop several extensions. I develop
an unsupervised probabilistic model of ambiguity, and show how this model can be
built into compositional derivations to produce a distribution over logical forms. The
flat clustering approach does not model relations between concepts, for example that
buying implies owning. Instead, I show how to build graph structures over the clusters,
which allows such inferences. I also explore if the abstract concepts can be generalized
cross-lingually, for example mapping French verb ecrire to the same cluster as
the English verb write. The systems developed show good performance on question
answering and entailment tasks, and are capable of both sophisticated multi-sentence
inferences involving quantifiers, and subtle reasoning about lexical semantics.
These results show that distributional and formal logical semantics are not mutually
exclusive, and that a combined model can be built that captures the advantages of each
Early Risk, Attention, and Brain Activation in Adolescents Born Preterm
No full textThe relations among early cumulative medical risk, cumulative environmental risk, attentional control, and brain activation were assessed in 15 – 16-year-old adolescents who were born preterm. Functional magnetic resonance imaging found frontal, temporal, and parietal cortex activation during an attention task with greater activation of the left superior-temporal and left supramarginal gyri associated with better performance. Individual differences in early cumulative risk are related to patterns of brain activation such that medical risk is related to left parietal cortex activation and environmental risk is related to temporal lobe activation. The findings suggest that early risk is related to less mature patterns of brain activation, including reduced efficiency of processing and responding to stimuli.This is the accepted version of the following article: Carmody, D. P., Bendersky, M., Dunn, S. M., DeMarco, J. K., Hegyi, T., Hiatt, M. and Lewis, M. (2006), Early Risk, Attention, and Brain Activation in Adolescents Born Preterm. Child Development, 77: 384–394, which has been published in final form at http://onlinelibrary.wiley.com/doi/10.1111/j.1467-8624.2006.00877.x/abstract.Peer reviewe
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