1,912 research outputs found
Steven Johnson Author Talk Poster
No full textK-State Book NetworkA poster advertising an author talk by Steven Johnson at Kansas State University on September 3, 2014. Steven Johnson's book "The Ghost Map" was the 2014-2015 common book
Blaming the Brain
No full textErickson, Steven K.. (2010). Blaming the Brain. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/155740
Writing, Wonder, and Imagination
No full textAuthor Steven K. Smith combines local history and adventure with his middle grade series, The Virginia Mysteries. Steven will share how his books and author visits have engaged thousands of students in over 80 Virginia schools while encouraging writing, wonder, and imagination
Dr. Steven Vogel Lecture
No full textDr. Steven Vogel will give a public Sigma Xi Distinguished Scientist lecture and a research seminar in the School of Marine Sciences seminar series. A noted author on bio-mechanics, Dr. Vogel\u27s expertise spans many disciplines including biology, marine science, physics, mathematics, and engineering. His public seminar will address the physics of living, and touch on strategies for engaging K-16 students in learning physics
Impact of coupling an ocean model to WRF nor’easter simulations
No full textThe impact of ocean-atmosphere coupling and its possible seasonal dependence upon Weather Research and Forecasting (WRF) model simulations of seven, winter-time cyclone events was investigated. Model simulations were identical aside from the degree of ocean model coupling (static SSTs, 1D mixed-layer model, full-physics 3D ocean model). Both 1D and 3D ocean model coupling simulations show that SSTs following the passage of a nor’easter did tend to cool more strongly during the early season (Oct-Dec) and were more likely to warm late in the season (Feb-Apr). Model simulations produce SST differences of up to 1.14 K, but this change did not lead to significant change in storm track ( 1) and have low-to-moderate threat scores (0.31 – 0.59). Analysis of the storm environment and the overall simulation failed to reveal any statistically significant differences in model error attributable to ocean-atmosphere coupling. Despite this result, ocean model coupling can reduce dynamical field error at a single level by up to 20%, and this was slightly greater (1-2%) with 3D ocean model coupling as compared to 1D ocean model coupling. Thus, while 3D ocean model coupling tended to generally produce more realistic simulations, its impact would likely be more profound for longer-term simulations.© Copyright 2015 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act September 2010 Page 2 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108, as revised by P.L. 94-553) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a web site or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. Additional details are provided in the AMS Copyright Policy, available on the AMS Web site located at (http://www.ametsoc.org/) or from the AMS at 617-227-2425 or [email protected] reviewe
Impact of Coupling an Ocean Model to WRF Nor’easter Simulations
No full textThe impact of ocean–atmosphere coupling and its possible seasonal dependence upon Weather Research and Forecasting (WRF) Model simulations of seven, wintertime cyclone events was investigated. Model simulations were identical aside from the degree of ocean model coupling (static SSTs, 1D mixed layer model, full-physics 3D ocean model). Both 1D and 3D ocean model coupling simulations show that SSTs following the passage of a nor’easter did tend to cool more strongly during the early season (October–December) and were more likely to warm late in the season (February–April). Model simulations produce SST differences of up to 1.14 K, but this change did not lead to significant changes in storm track ( 1) and have low-to-moderate threat scores (0.31–0.59). Analysis of the storm environment and the overall simulation failed to reveal any statistically significant differences in model error attributable to ocean–atmosphere coupling. Despite this result, ocean model coupling can reduce dynamical field error at a single level by up to 20%, and this was slightly greater (1%–2%) with 3D ocean model coupling as compared to 1D ocean model coupling. Thus, while 3D ocean model coupling tended to generally produce more realistic simulations, its impact would likely be more profound for longer-term simulations.© Copyright 2015 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act September 2010 Page 2 or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108, as revised by P.L. 94-553) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form, such as on a web site or in a searchable database, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. Additional details are provided in the AMS Copyright Policy, available on the AMS Web site located at (http://www.ametsoc.org/) or from the AMS at 617-227-2425 or [email protected] reviewe
Erratum: Steven K. Erickson, J.D., LL.M., Ph.D. and Alan R. Felthous, M.D. (2009) Introduction to this issue: The neuroscience and psychology of moral decision making and the law. Behavioral sciences and the law, Vol. 27, No. 2, 119‐121
No full textUnified mathematical treatment of complex cascaded bipartite networks: The case of collections of journal papers
No full textIn this study, a mathematical treatment is proposed for analysis of entities and relations among entities in
complex networks consisting of cascaded bipartite networks. This treatment is applied to the case of
collections of journal papers. In this case, entities are distinguishable objects and concepts, such as papers,
references, paper authors, reference authors, paper journals, reference journals, institutions, terms, and term
definitions. Relations are associations between entity-types such as papers and the references they cite, or
paper authors and the papers they write. An entity-relationship model is introduced that explicitly shows
direct links between entity-types and possible useful indirect relations. From this a matrix formulation and
generalized matrix arithmetic are introduced that allow easy expression of relations between entities and
calculation of weights of indirect links and co-occurrence links. Occurrence matrices, equivalence
matrices, membership matrices and co-occurrence matrices are described. A dynamic model of growth
describes recursive relations in occurrence and co-occurrence matrices as papers are added to the paper
collection. Graph theoretic matrices are introduced to allow information flow studies of networks of papers
linked by their citations. Similarity calculations and similarity fusion are explained. Derivation of feature
vectors for pattern recognition techniques is presented. The relation of the proposed mathematical
treatment to seriation, clustering, multidimensional scaling, and visualization techniques is discussed. It is
shown that most existing bibliometric analysis techniques for dealing with collections of journal papers are
easily expressed in terms of the proposed mathematical treatment: co-citation analysis, bibliographic
coupling analysis, author co-citation analysis, journal co-citation analysis, Braam-Moed-vanRaan (BMV)
co-citation/co-word analysis, latent semantic analysis, hubs and authorities, and multidimensional scaling.
This report discusses an extensive software toolkit that was developed for this research for analyzing and
visualizing entities and links in a collection of journal papers. Additionally, an extensive case study is
presented, analyzing and visualizing 60 years of anthrax research through a collection of journal papers.
When dealing with complex networks that consist of cascaded bipartite networks, the treatment presented
here provides a general mathematical framework for all aspects of analysis of static network structure and
network dynamic growth. As such, it provides a basic paradigm for thinking about and modeling such
networks: computing direct and indirect links, expressing and analyzing statistical distributions of network
characteristics, describing network growth, deriving feature vectors, clustering, and visualizing network
structure and growth
The Confabulist
No full textWebcast sponsored by the Irving K. Barber Learning Centre and hosted by the Creative Writing Department. Presented by the Chan Centre as part of the Beyond Words series. Multi-award winning novelist and UBC professor Steven Galloway, author of The Cellist of Sarajevo, explores magic in his newest book The Confabulist. This beautiful, suspense-filled novel uses the life and sudden death of turn-of-the-century magician and stunt performer Harry Houdini to weave a critically acclaimed tale of intrigue, love and illusion. Join Galloway for this magical (pun very much intended) evening of readings and sleight-of-hand as he is joined in performance by master magician David Gifford to examine reality and illusion, and the ways that imagination can alter what we perceive and believe. Post-show artist talk moderated by acclaimed Canadian author Miriam Toews.Arts, Faculty ofNon UBCUnreviewedFacultyOthe
A chromatic art gallery problem
No full textThe art gallery problem asks for the smallest number of guards required to see every point of the interior of a polygon . We introduce and study a similar problem called the chromatic art gallery problem. Suppose that two members of a finite point guard set must be given different colors if their visible regions overlap. What is the minimum number of colors required to color any guard set (not necessarily a minimal guard set) of a polygon ? We call this number, , the chromatic guard number of . We believe this problem has never been examined before, and it has potential applications to robotics, surveillance, sensor networks, and other areas. We show that for any spiral polygon , , and for any staircase polygon (strictly monotone orthogonal polygon) , . We also show that for any positive integer , there exists a polygon with vertices such that .not peer reviewedSubmitted by Lawrence Erickson ([email protected]) on 2010-08-04T19:44:42Z
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