50,949 research outputs found
Also By The Same Author: AKTiveAuthor, a Citation Graph Approach to Name Disambiguation
No full textThe desire for definitive data and the semantic web drive for inference over heterogeneous data sources requires co-reference resolution to be performed on those data. In particular, name disambiguation is required to allow accurate publication lists, citation counts and impact measures to be determined. This paper describes a graph-based approach to author disambiguation on large-scale citation networks. Using self-citation, co-authorship and document source analyses, AKTiveAuthor clusters papers, achieving precision of 0.997 and recall of 0.818 over a test group of eight surname clusters
F-0233: Lewiston, Utah, Spencer James/James Taggart residence. Sec 9 T 14N R 1 E
No full textF-0233: Lewiston, Utah, Spencer James/James Taggart residence. Sec 9 T 14N R 1
Description of manganese deposits collected by the R/V Spencer F. Baird during 1963 in the California Seamount province in the Pacific Ocean
No full textDescription of manganese deposits collected by the R/V Spencer F. Baird during 1963 in the California Seamount province in the Pacific Ocea
12" x 9" envelope from the Department of Interior to H. M. Spencer
Full text linkThis envelope is addressed to H. M. Spencer from the patent office of the Department of Interior. The stamp is dated March 28th of 1911. H.M. Spencer's address is written as R. F. D. No. 1, Cheraw, South Carolina, and the envelope has been written on mathematically with pencil
Benard F. Barnes and Ellis L. Spencer affidavit, 1960 July 8
No full textAffadavit of civil engineers Benard Barnes and Ellis Spencer, describing the distances from the residences of H. H. Kirnon, Josephine Maxey, and James R. Mapp to Orchard Knob School
Benard F. Barnes and Ellis L. Spencer affidavit, 1960 July 8
No full textAffadavit of civil engineers Benard Barnes and Ellis Spencer, describing the distances from the residences of H. H. Kirnon, Josephine Maxey, and James R. Mapp to Orchard Knob School
Semiometrics: producing a compositional view of influence
No full textHigh-impact academic papers are not necessarily the most cited. For example, Einstein's 'Special Relativity' paper from 1905 received (and continues to receive) fewer citations from other papers than his 'Brownian Motion" paper of the same year, despite the former radically changing the course of an entire scientific discipline to a much greater extent. Similarly, 'impact' metrics using citation count alone are, it is argued, not adequate for determining the scientific influence of papers, authors or small groups of authors. Although valid, they remain controversial when used to determine influence of larger groups or journals. While the term 'impact' has become closely linked to a journal's citation-based Journal Impact Factor score, this thesis uses the term 'influence' to describe the wider effectiveness of research, combining citation and metadata analysis to allow richer calculations to be performed over large-scale document networks. As a result, more qualitative influence ratings can be determined and a broader outlook on scientific disciplines can be produced. These ratings are best applied using an ontology-based data source, allowing more efficient inference than under a traditional RDBMS system, and allowing easier integration between heterogeneous data sources. These metrics, termed 'Semantic Bibliometrics' or 'Semiometrics', can be applied at a variety of levels of granularity, allowing a compositional framework for impact and influence analysis. This thesis describes the process of data preparation, systems architecture, metric value and data integration for such a system, introducing novel approaches at all four stages, thereby creating a working semiometrics system for determining influence at different semantic levels of granularity
Morbidity and Mortality Weekly Report (MMWR)
No full textDuring 2018\u20132020, 1,508 deaths occurred involving injuries from recreational and nonrecreational use of watercraft. The percentage of deaths each month ranged from 3.0% in December to 16.6% in July. Most deaths (68.6%) occurred during May\u2013September.Source: National Vital Statistics System (U.S.), Mortality Data. https://www.cdc.gov/nchs/nvss/deaths.htmReported by: Matthew F. Garnett, MPH; Merianne R. Spencer, MPH
Morbidity and Mortality Weekly Report (MMWR)
No full textInjuries accounted for the majority of deaths among persons aged 15\u201339 years, with the highest percentages among those aged 15\u201319 (76.0%) and 20\u201324 years (78.2%). The percentage of injury deaths was lowest among those aged <1 year (7.9%), 60\u201364 years (7.5%), and 6565 years (3.4%).Source: National Center for Health Statistics, National Vital Statistics System (U.S.), Mortality Data, 2019. https://www.cdc.gov/nchs/nvss/deaths.htmReported by: Holly Hedegaard, MD; Matthew F. Garnett, MPH; Merianne R. Spencer, MPH
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