2,146 research outputs found
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
"The Translingual Sensibility: A Conversation Between Steven G. Kellman and Ilan Stavans"
No full textDialogue might be the most appropriate medium for reflections on translingualism. In a dialogue conducted by email over the course of ten days, Steven G. Kellman and Ilan Stavans consider the validity and implications of linguistic determinism. Their conversation examines whether some words that seem to embody the unique Weltanschaaung of a particular culture – such as Schadenfreude, duende, or mångata – can be appropriated, if not translated, into another culture. Pondering whether there are any inherent qualities that distinguish texts by monolingual writers such as Jane Austen and William Faulkner from work by authors who switch languages, such as Samuel Beckett and Vladimir Nabokov, they agree on the usefulness of thinking in terms of a translingual sensibility. Apart from the biographical circumstances of the author, a text possesses a translingual sensibility if it embodies an awareness of both the power and the limitations of its own verbal medium
A Cross-Layer Multicast-Push Unicast-Pull (MPUP) Architecture for Reliable File-Stream Distribution
No full textThe growing deployment of OpenFlow/SDN networks makes it increasingly possible to leverage network multi-cast services. This work proposes a novel cross-layer Multicast- Push Unicast Pull (MPUP) architecture that includes functionality in the application, transport and link layers to offer users a reliable file-stream distribution service to multiple subscribers. A prototype implementation of the MPUP architecture was realized in a new version of Local Data Manager (LDM), LDM7, a software program that has been in use since 1994 for real-time meteorology data distribution. LDM6, the currently deployed version, uses application-layer multicast. Experiment were run on the GENI infrastructure to compare LDM7 and LDM6. The two main findings are (i) LDM7 can be run at a higher sending rate than LDM6 allowing for improved performance (lower file-delivery latency), and (ii) to achieve the same performance, LDM7 uses significantly lower bandwidth and compute capacity. A three-fold improvement in performance improvement was possible with LDM7, and a bandwidth reduction from 350 Mbps to 21.4 Mbps was observed with 24 receivers.Peer reviewe
Author Correction: Identification of functional tetramolecular RNA G-quadruplexes derived from transfer RNAs
No full textThe original version of this Article contained an error in the spelling of the author Steven M. Coyne, which was incorrectly given as Stephen M. Coyne. This has now been corrected in both the PDF and HTML versions of the Article.</jats:p
Personal-level factors and Google Docs use in Monmouth County middle schools
No full textTechnology is essential in both personal and professional lives. Also, digital assessments, such as those being implemented as part of the Partnership for Assessment of Readiness for College and Careers (PARCC), will soon be instituted; these require students to utilize computer technology in order to complete the assessment. Therefore, it is imperative that administrators be aware of factors associated with increased frequency and complexity of technology use in teachers’ classrooms. This study examined the factors associated with the diffusion and implementation of a technological innovation (Google Docs) through schools/districts in Monmouth County, NJ. An online survey provided quantitative data about teachers’ personal-professional characteristics and the frequency and complexity of respondents’ uses of Google Docs. Data was collected from 35 of the 53 schools in Monmouth County; 45% of the surveyed population provided viable responses. Linear regression determined which factors had a statistically significant association with the dependent variable “Google Docs Usage Score” (GDUS), a measure of frequency and complexity of Google Docs use. Independent variables culled from the literature were decision method (optional, collective, or authority); innovator type (innovator, early adopter, early majority, late majority, laggard); and the following personal characteristics: years of teaching experience; subject area taught; grade levels taught; number of types of technology used personally; number of types of technology used professionally; and technological, pedagogical, and content knowledge (TPACK) score (Mishra & Koehler, 2003). This study determined there was a statistically significant association between the GDUS and the following variables: optional decision method; innovator, early adopter, and early majority innovator types; the subject areas Mathematics and Visual and/or Performing Arts; the number of types of technology used professionally; and TPACK score. These findings provide administrators with specific factors to consider when encouraging diffusion of a technological innovation such as Google Docs into a school. Combined with research by Wisnicki (2014), it was found that personal factors have a larger impact on GDUS than do environmental factors. This study builds on the diffusion work of Rogers (2003) and the Concerns-Based Adoption Model of Hall, Wallace, & Dosset (1973), and adds clarity to the literature on diffusion of educational technology within schools. This study also provides a new theoretical construct for examining levels of use of Google Docs, which could potentially be expanded to act as a measurement for other types of educational technology.Ed. D.Includes bibliographical referencesby Steven G. Tetreaul
Comprehensive analysis of tagging sequence variants in DTNBP1 shows no association with schizophrenia or with its composite neurocognitive endophenotypes
No full textAbstract not availableKirsten Peters, Steven Wiltshire, Anjali K. Henders, Milan Dragović, Johanna C. Badcock, David Chandler, Sarah Howell, Chris Ellis, Sonja Bouwer, Grant W. Montgomery, Lyle J. Palmer, Luba Kalaydjieva and Assen Jablensk
Book Review: Vulnerable Subjects: Ethics and Life Writing
No full textAuthor: G. Thomas Couser
Reviewer: Steven Brown
Publisher: (Ithaca: Cornell, 2004).
Cost: Paperback - 47.50
Paper, 2003 ISBN: 0-8014-8863-X 47.50
Unified 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
Glioblastoma /
No full textClinically focused and designed to provide a to-the-point overview, Glioblastoma, by Drs. Steven Brem and Kalil G. Abdullah, brings you up to date with increased understanding, new treatment protocols, and recent advances in the field. Written by contributing specialists who are global experts in their respective areas, this one-stop reference provides neurosurgeons, medical-and-radiation oncologists, neuro-oncologists, neuropathologists, internal medicine physicians, and researchers with a dependable source of information on current treatment options, tumor recurrence, and patient care.Includes bibliographical references.Glioblastoma: translating scientific advances to innovative therapy -- The story of glioblastoma: history and modern correlates -- Epidemiology of glioblastoma and trends in glioblastoma survivorship -- The molecular pathogenesis of glioblastoma -- Translating molecular biomarkers of gliomas to clinical practice -- Multimodality targeting of glioma cells -- Current standards of care in glioblastoma therapy -- Radiographic detection and advanced imaging of glioblastoma -- Principles and tenets of radiation treatment in glioblastoma -- Chemotherapeutics and their efficacy -- Antiangiogenic therapy for glioblastoma -- Recurrent glioblastoma -- Principles of surgical treatment -- Awake craniotomy for glioblastoma -- Intraoperative imaging of glioblastoma -- Minimally invasive targeted therapy for glioblastoma: laser interstitial thermal therapy -- Local drug delivery in the treatment of glioblastoma -- Tumor-treating electric fields for glioblastoma -- Brain plasticity and reorganization before, during, and after glioma resection -- General principles of immunotherapy for glioblastoma -- Early detection of glioblastoma -- Health-related quality of life and neurocognitive functioning after glioblastoma treatment -- Socioeconomics and survival -- National and global economic impact of glioblastoma -- Lessons learned : clinical trials and other interventions for glioblastoma.Clinically focused and designed to provide a to-the-point overview, Glioblastoma, by Drs. Steven Brem and Kalil G. Abdullah, brings you up to date with increased understanding, new treatment protocols, and recent advances in the field. Written by contributing specialists who are global experts in their respective areas, this one-stop reference provides neurosurgeons, medical-and-radiation oncologists, neuro-oncologists, neuropathologists, internal medicine physicians, and researchers with a dependable source of information on current treatment options, tumor recurrence, and patient care.Elsevie
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