3,374 research outputs found
Congressional Record Tribute: Lund, Eugene
Get PDFLund was a graduate of the Naval Postgraduate School with a degree in engineering.Mr. PALAZZO. Mr. Speaker, last week our country lost a true American hero, my uncle, Captain Eugene P. Lund. Captain Lund died on the Mississippi Gulf Coast at the age of 78. My uncle was a graduate of Notre Dame and the U.S. Naval Postgraduate School with degrees in engineering, and from The George Washington University with a master’s degree in management.Approved for public release; distribution is unlimited
UTPA News - Steven P. Schneider
No full textSteven P. Schneider is Professor of English at The University of Texas-Pan American, where he also serves as Director of New Programs and Special Projects for the College of Arts and Humanities. Steven is a founding member of the South Texas Literacy Coalition in the Rio Grande Valley and is the recipient of two Big Read grants from the National Endowment for the Arts. He has used the Borderlines: Drawing Border Lives traveling exhibit to promote the teaching of culturally relevant literature and creativity. Steven offers a variety of workshops on these topics to both high school and college students and teachers. Steven Schneider has published his poetry widely and given readings throughout the United States, including public performances at the Iowa Summer Writing Festival, the Fort Kearny Writers\u27 Conference, the UTPA Summer Creative Writing Institute, and the South Texas Literary Festival. He has also been interviewed and read his work on NETV. Steven Schneider\u27s poems and essays have been published in national and international journals, including Critical Quarterly, Prairie Schooner, Tikkun, The Literary Review, and featured in American Life in Poetry. He is the author of several books, including two collections of poetry, Prairie Air Show and Unexpected Guests, a scholarly book entitled A.R. Ammons and the Poetics of Widening Scope and the editor of Complexities of Motion: New Essays on A.R. Ammons\u27s Long Poems. He is a winner of an Anna Davidson Rosenberg Award for Poetry and a Nebraska Arts Council Fellowship.https://scholarworks.utrgv.edu/utpamedia/1246/thumbnail.jp
Social media, fandom and language learning: A roundtable with Shannon Sauro and Steven L. Thorne
Get PDFLast November, Dr. Shannon Sauro (Malmö University & Lund University) and Dr. Steven L. Thorne (Portland State University & University of Groningen) visited the UAB campus to give lectures on, respectively, ‘Fandom, Social Media and Learning’ and ‘Human development and semiotic remediation through mobile place-based gaming’. (...) Questions and responses are transcribed here.En noviembre del año pasado, la Dra. Shannon Sauro (Universidad de Malmö y Universidad de Lund) y el Dr. Steven L. Thorne (Universidad de Portland State y Universidad de Groningen) visitaron el campus de la UAB para dar conferencias sobre, respectivamente, 'Fandom, las medias sociales y el aprendizaje" y "El desarrollo humano y la remediación semiótica a través de juegos de móviles'. (...) Se presenta las transcripciones de las preguntas y respuestas aquí.El novembre de l'any passat, la Dra. Shannon Sauro (Universitat de Malmö i Universitat de Lund) i el Dr Steven L. Thorne (Universitat de Portland State i Universitat de Groningen) van visitar el campus de la UAB per donar conferències sobre, respectivament, 'Fandom, les mitjanes socials i l'aprenentatge "i" El desenvolupament humà i la remediació semiòtica a través de jocs de mòbils'. (...) Es presenta les transcripcions de les preguntes i respostes aquí
Mathematics
No full text"Inservice education"--Final (unnumbered) p. of each document.; Includes bibliographical references.T. Teaching mathematics : elementary & middle grades / prepared by Steven P. Meiring (19 p.) -- K. Kindergarten mathematics / principal authors, James B. Wesson, Steven P. Meiring (18 p.) -- 1. First grade mathematics (18 p.) ; 2. Second grade mathematics (15 p.) ; 3. Third grade mathematics (18 p.) / principal author, C. Winston Smith, Jr. -- 4. Fourth grade mathematics (21 p.) ; 5. Fifth grade mathematics (19 p.) / principal author, James B. Wesson -- 6. Sixth grade mathematics (19 p.) ; 7. Seventh grade mathematics (23 p.) / principal author, William R. Speer -- 8. Eighth grade mathematics (19 p.) ; 8E. Eighth grade enrichment mathematics / principal author, James E. Schultz.A series of eleven monographs describing mathematics learning in the elementary and middle grades. These documents identify appropriate outcomes for each grade level and discuss teaching methods for helping students achieve those outcomes
Unified mathematical treatment of complex cascaded bipartite networks: The case of collections of journal papers
Get PDFIn 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 importance of distinct modeling strategies for gene and gene-specific treatment effects in hierarchical models for microarray data
Get PDFWhen analyzing microarray data, hierarchical models are often used to share information across genes when estimating means and variances or identifying differential expression. Many methods utilize some form of the two-level hierarchical model structure suggested by Kendziorski et al. [Stat. Med. (2003) 22 3899–3914] in which the first level describes the distribution of latent mean expression levels among genes and among differentially expressed treatments within a gene. The second level describes the conditional distribution, given a latent mean, of repeated observations for a single gene and treatment. Many of these models, including those used in Kendziorski’s et al. [Stat. Med. (2003) 22 3899–3914] EBarrays package, assume that expression level changes due to treatment effects have the same distribution as expression level changes from gene to gene. We present empirical evidence that this assumption is often inadequate and propose three-level hierarchical models as extensions to the two-level log-normal based EBarrays models to address this inadequacy. We demonstrate that use of our three-level models dramatically changes analysis results for a variety of microarray data sets and verify the validity and improved performance of our suggested method in a series of simulation studies. We also illustrate the importance of accounting for the uncertainty of gene-specific error variance estimates when using hierarchical models to identify differentially expressed genes.This article is published as Lund, Steven P., and Dan Nettleton. "The importance of distinct modeling strategies for gene and gene-specific treatment effects in hierarchical models for microarray data." The Annals of Applied Statistics 6, no. 3 (2012): 1118-1133. doi: 10.1214/12-AOAS535. Posted with permission.</p
Les évidences défaites de Steven Millhauser
Get PDFFrom his first novel, Edwin Mullhouse (1972), to his latest collection of short stories, We Others (2011), the American writer Steven Millhauser recurrently ponders the complex relations that can be established between language, fiction and reality. Through various narratological, stylistic and discursive processes, the author creates minute gaps between the real and the usual categories of the understanding, thus examining the act of nomination, the performativity of language, and the artifice of fiction. As he reveals how reality sometimes « refuses to accept any language » (Dangerous Laughter, p. 101), the author seems to highlight the limits of fiction writing. Yet his writing goes beyond the postmodern assumption that language cannot (re)present anything but itself. Indeed, what truly sets the writing in motion is a thwarted desire of nomination, from failure to failure. Paradoxically, language can fully flourish only when faced with the unspeakable. The apparent weakness of language — its inability to express reality in its most singular manifestation — ultimately becomes its real chance. The work of fiction, as presented by the author, does not seek to incarnate or to embody the world — it tries to open up new perspectives on the real while remaining language. Steven Millhauser thus carefully invents a new kind of realism capable of inscribing in the text what the author himself defines as « the blazing thing that deserves the name of reality.
M. Patrick Graham & Steven L. McKenzie (ed.), The Chronicler as Author. Studies in Text and Texture, Sheffield, Sheffield Academic Press, 1999, (Journal for the Study of the Old Testament, Supplement Series, 263), ISBN 1-84127-057-1
No full textRobert Philippe de. M. Patrick Graham & Steven L. McKenzie (ed.), The Chronicler as Author. Studies in Text and Texture, Sheffield, Sheffield Academic Press, 1999, (Journal for the Study of the Old Testament, Supplement Series, 263), ISBN 1-84127-057-1. In: Revue d'histoire et de philosophie religieuses, 80e année n°2, Avril-juin 2000. p. 297
Detecting Differential Expression in RNA-sequence Data Using Quasi-likelihood with Shrunken Dispersion Estimates
Get PDFNext generation sequencing technology provides a powerful tool for measuring gene expression (mRNA) levels in the form of RNA-sequence data. Method development for identifying differentially expressed (DE) genes from RNA-seq data, which frequently includes many low-count integers and can exhibit severe overdispersion relative to Poisson or binomial distributions, is a popular area of ongoing research. Here we present quasi-likelihood methods with shrunken dispersion estimates based on an adaptation of Smyth's (2004) approach to estimating gene-specific error variances for microarray data. Our suggested methods are computationally simple, analogous to ANOVA and compare favorably versus competing methods in detecting DE genes and estimating false discovery rates across a variety of simulations based on real data.This article is published as Lund, Steven P., Dan Nettleton, Davis J. McCarthy, and Gordon K. Smyth. "Detecting differential expression in RNA-sequence data using quasi-likelihood with shrunken dispersion estimates." Statistical applications in genetics and molecular biology 11, no. 5 (2012): 8. doi: 10.1515/1544-6115.1826.</p
Effect of Ramping-Up Rate on Film Thickness for Spin-On Processing
No full textSpin-on processing is used in many industries to deposit very thin coatings on flat substrates, including silicon wafers, flat-panel displays, and precision optical components. A liquid precursor solution is first dispensed onto the surface of the substrate; this fluid then spreads out very evenly over the surface due to large rotational forces caused by spinning of the substrate. When looking for an optimum coating procedure process engineers can adjust many variables including the peak spin speed, the ramping rate to reach that speed, the spinning time, as well as allowing for dynamic solution dispense before ramping up, though most protocols focus on the peak spin speed as the primary controlling variable. Engineers often construct spin-speed versus thickness correlations that enable predictable adjustment of spin-speed to achieve a desired thickness. Yet, rather little attention has been paid to the importance of the acceleration rate used to reach the desired peak speed. We show here that ramping rate is also important in helping establish the final coating thickness. We present a numerical model of the fluid flow on a spinning wafer when the spin-speed is ramping linearly up to a desired peak speed and then held constant. It is shown that the coating may “set” into its final thickness before the spin-speed reaches its peak value. In these cases then the peak spin-speed parameter is no longer the primary variable that defines the final coating thickness. This also impacts the interpretation of critical exponents found when fitting spin-speed vs. thickness data. We perform parallel experimental measurements for different ramping-up times and confirm the results from the numerical model. Both experimental and theoretical results support use of the simplified model put forth by Meyerhofer over 25 years ago (J. Appl. Phys. 49 (1978) 3993-3997).This is the Author's accepted manuscript of an article published in Journal of Materials Science: Materials in Electronics. The final publication is available at Springer via http://dx.doi.org/10.1007/s10854-005-4973-6Peer reviewe
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