EBSCO Library of Congress Classification Report 2012

This report lists all periodicals subscribed to in 2012 through EBSCO Subscription Services by the University Libraries, University of Rhode Island. Information provided includes title, ISSN, Library of Congress Classification number and name, and account number (for URI, Pell, or CCE). The list is sorted by LC Classification to better show the journals that support each discipline/subject area. Not included here are titles available through online journal packages and reference databases, which now comprise the majority of the Libraries\u27 subscriptions. The journals listed here are those to which the Libraries subscribe to individually, title-by-title, through EBSCO

EBSCO Library of Congress Classification Report 2010

This report lists all periodicals subscribed to in 2010 through EBSCO Subscription Services by the University Libraries, University of Rhode Island. Information provided includes title, ISSN, Library of Congress Classification number and name, and subscriber (URI, Pell, or CCE). The list is sorted by LC Classification to better show the journals that support each discipline/subject area. Not included here are titles available through online journal packages and reference databases, which now comprise the majority of the Libraries\u27 subscriptions. The journals listed here are those to which the Libraries subscribe to individually, title-by-title

EBSCO Library of Congress Classification Report 2011

This report lists all periodicals subscribed to in 2011 through EBSCO Subscription Services by the University Libraries, University of Rhode Island. Information provided includes title, ISSN, Library of Congress Classification number and name, and subscriber (URI, Pell, or CCE). The list is sorted by LC Classification to better show the journals that support each discipline/subject area. Not included here are titles available through online journal packages and reference databases, which now comprise the majority of the Libraries\u27 subscriptions. The journals listed here are those to which the Libraries subscribe to individually, title-by-title

Reference Question Data Mining

This exploratory study investigated the feasibility of using reference questions as an important tool in the construction of study guides, instructional outreach, and collection development at a small, four-year university in Lake Charles, Louisiana. The premise for the study was based on the assumption that the content of the reference question and class from which the question came provide more valuable information than the metadata normally captured within reference classification systems (e.g., directional, research). Reference question subjects received at the reference desk were recorded over six months by the reference staff. The authors then analyzed and classified the data to discover patterns in collection use. The resulting report was then disseminated to the reference, collection development, and instructional outreach departments. The findings reveal that this method of reference data classification and timely reporting provides an excellent reference for planning in these library departments

EBSCO Library of Congress Classification Report 2009

This report lists all periodicals subscribed to in 2009 through EBSCO Subscription Services by the University Libraries, University of Rhode Island. Information provided includes title, ISSN, Library of Congress Classification number and name, and subscriber (URI, Pell, or CCE). The list is sorted by LC Classification to better show the journals that support each discipline/subject area. Not included here are titles available through online journal packages and reference databases, which now comprise the majority of the Libraries\u27 subscriptions. The journals listed here are those to which the Libraries subscribe to individually, title-by-title

HILCC: A Hierarchical Interface to Library of Congress Classification : a project report on the development of an operational prototype LCC-based subject interface.

This paper describes a project, undertaken by Columbia University Libraries in 1997, to develop a system for the automatic generation of browsable, web-based, subject-oriented presentations of our electronic resources by mapping LC classification numbers present in catalog records to a hierarchical subject vocabulary derived from the Library of Congress classification schedules

Library Newsletter

Volume 10, Number 2 October 2005Newsletter sent out to the campus in October 2005 with information about library services and resource

Ionic composition of aerosol in Big Bend National Park, The

July 2002.Includes bibliographical references.The chemical compositions of PM2.5 and size-resolved aerosol particles were measured from July to October, 1999 in Big Bend National Park, Texas, during the Big Bend Regional Aerosol and Visibility Observational (BRAVO) Study. Daily PM2.5 samples were collected using a URG cyclone/annular denuder/filter pack sampling system consisting of a PM2.5 cyclone inlet, two coated annular denuders in series (for nitric acid and ammonia), and a filter pack. Aerosol particles collected on a Teflon filter were analyzed for major ions and a backup nylon filter was used to capture nitric acid volatilized from the collected particles. A Micro Orifice Uniform Deposition Impactor (MOUDI) was used to collect 24 hr size-resolved aerosol particle samples in 9 size categories (D50 = 18, 10, 5.6, 3.2, 1.8, 1.0, 0.56, 0.32 and 0.18 μm). 41 MOUDI sample days were selected for analysis of the ionic chemical composition as a function of particle size. PM2.5 and size-resolved aerosol concentrations of C1-, SO42-, NO3-, Na+, NH4+, K+, Mg2+, and Ca2+ were obtained through ion chromatographic analysis of the filter and impactor samples. Aerosol acidity was measured on-site in the daily PM2.s filter samples. The composition of the BRAVO PM2.5 aerosol was dominated by sulfate and ammonium. Daily average sulfate and ammonium concentrations were strongly correlated (R2=0.97). The ratio of ammonium to sulfate averaged 1.54 with standard deviation of 0.30. This ratio is consistent with the direct pH measurements of aerosol acidity. The highest concentrations of sulfate were observed from August to October, reaching as high as 8.5 μg/m3. Back-trajectories suggested long-range transport from regions along the Texas/Mexico border and east Texas was associated with peak sulfate concentrations in the park. The particle composition as a function of size obtained from the MOUDI samples suggests that most of the particulate nitrate is associated with coarse mode particles in the range of 4 - 5 μm diameter. Aerosol nitrate concentrations were correlated with the sum of aerosol Na+ and Ca2+ concentrations (R2 = 0.70 and 0.60 for MOUDI and URG, respectively), demonstrating the importance of sea salt and soil dust particles in providing non-acidic surfaces for the condensation of nitric acid. The MOUDI samples indicate that nitrate and sulfate are separated into supermicron (mode diameter 4 - 5 μm) and submicron (mode diameter 0.4 - 0.5 μm) particles, respectively. The MOUDI samples show that a 1 μm size cut would have provided a better division between the fine mode and the coarse mode aerosol during the BRAVO study. Comparison of ISORROPIA and SCAPE2 thermodynamic model predictions of solid phase sulfate species shows reasonable agreement between the models, although ISORROPIA sometime predicts higher concentrations of some species. ISORROPIA often predicts the presence of solid phase Na2SO4, while SCAPE2 seldom does. The difference between solid phase sulfate concentrations predicted by the two models largely reflects differences in predicted aerosol water content. Both models reasonably predict the observed phase partitioning of N(-III) but poorly predict the observed phase partitioning of N(V). The underprediction of aerosol nitrate by these bulk aerosol models reflects the fact that the PM2.5 aerosol is externally mixed, containing acidic submicron sulfate particles and supermicron nitrate particles.Funding agency: National Park Service #CA238099001

Enhancing a new design for subject access to online catalogs

In this report, we describe the enhancement of a new design for subject access to online catalogs. The purpose of this reserch project was to enhance the search trees with new subject searching approaches to enable online catalogs to respond with useful information for the most difficult user queries.http://deepblue.lib.umich.edu/bitstream/2027.42/57991/1/Enhancing_a_new_design_for_subject_access_to_online_catalogs.pd