2,265 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
Preservation assessment of the collections at the Oregon State Library, Salem, Oregon: October 6, 7 & 8, 2009
No full textReport -- Appendix A. Documentation Images -- Appendix B. Resources -- Appendix C. Recommended Books, Collection Policy Resources, Organizations for Reference & Vendors for Supplies -- Appendix D. Cost Estimates.prepared by Lisa Duncan, Art Conservator, LLC.Title from PDF title page (viewed on February 8, 2023).This archived document is maintained by the State Library of Oregon as part of the Oregon Documents Depository Program. It is for informational purposes and may not be suitable for legal purposes.Includes bibliographical references.Mode of access: Internet from the Oregon Government Publications Collection.Text in English
Pragmatic children’s nursing: a theory for children and their childhoods
No full textPragmatic Children’s Nursing is the first attempt to create a paediatric nursing theory which argues for the importance of giving children living with illness access to a childhood which is, as far as possible, equal to that of their peers. Set in the historical context of the development of children’s nursing, this theory is presented in detail as an educational process, complete with eight outcome measures which allow the practitioner to evaluate its effectiveness. This book explores the triad relationship between children, carers and nurses within the context of healthcare delivery. Ht analyses the moral and ethical implications of pragmatic children’s nursing, which challenges the established ideas of family-centred care. In addition to offering theoretical grounding and debate, Randall presents four practical case studies which model how this theory may work within various hospital and community settings. Establishing a link between the concepts inherent in pragmatism and our understanding of childhood within society, this accessible book will appeal to a global audience of undergraduate and postgraduate nursing students, researchers and policy makers.Discover more about this subject on our author Duncan C. Randall's website, which provides extra resources and information here: http://pragmaticchildrensnursing.com
'Magnetars', Soft Gamma Repeaters and Very Strong Magnetic Fields
No full textThis site describes soft gamma repeaters. The author, Robert C. Duncan of the University of Texas at Austin, explains how these strange, physically-extreme stars form, and why they emit steadily pulsating X-rays with sporadic, bright outbursts. The author also tells the story of their discovery and of the theoretical efforts which helped to reveal their bizarre nature. A version of the site is also available in Spanish
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
Semiometrics: Applying Ontologies across Large-Scale Digital Libraries
No full textAs large-scale digital libraries become more available and complete, not to mention more numerous, it is clear there is a need for services that can draw together and perform inference calculations on the metadata produced. However, the traditional Relational Database Management System (RDBMS) model, while efficiently constructed and optimised for many business structures, does not necessarily cope well with issues of concurrent data updates and retrieval at the scale of hundreds of thousands of papers. At the same time the growth of RDF and the increasing interest in Semantic Web technologies perhaps begins to present a viable alternative at a scalable, practical level. This paper considers a specific application of large-scale metadata analysis and conducts scalability tests using real-world data. It concludes that RDF technologies are both a scalable and performance-realistic alternative to traditional RDBMS approaches. It also shows that for relationship-based queries on large-scale metadata stores, RDF technologies can significantly out-perform traditional RDBMS approaches by allowing both retrieval and updating of data in a timely manner
Tumour-infiltrating lymphocyte scores effectively stratify outcomes over and above p16 post chemo-radiotherapy in anal cancer
No full textBackground: The majority (90%) of anal cancers are human papillomavirus (HPV)-driven, identified using immunochemistry for p16. Compared with HPV? patients, those with HPV+ disease generally show improved survival, although relapse rates around 25% indicate a need for further stratification of this group.Methods: Using two cohorts of anal cancer, previously characterised for p16, we assessed the prognostic value of tumour-infiltrating lymphocytes (TILs).Results: Tumour-infiltrating lymphocyte scores were used to stratify p16+ cases, where tumours with absent/low levels of TIL had a relapse-free rate of 63%, as opposed to 92% with high levels of TIL (log rank P=0.006).Conclusions: Assessment of TIL adds to p16 status in the prognosis of anal cancer following chemo-radiotherapy and provides evidence of the clinical importance of the immune response
English Romanesque tympana : a study of architectural sculpture in church portals c.1050-c.1200
No full textThis thesis presents a study of the use made of tympana in English Romanesque
portals and the evidence they offer for religious, social and cultural expression in village
churches where the vast majority of examples are preserved. In order to achieve this a
significant proportion of the analysis has been addressed to the manner in which people
may have interpreted what they saw. For the convenience of the reader basic descriptions
of all examples noted during the course of the research and details of manorial and patronal
circumstances are given as the Handlist in Volume 2.
The first two chapters establish the parameters of the research, outline the social
and religious environment during the period, and the art historical principles underpinning
the research. Chapter III examines the distribution of examples in geographical terms and
the use made of tympana in different categories of building. In chapter IV the structural
and compositional formulation of tympana is analysed and the use made of geometric
ornament. Chapter V assesses images of Christ and the relationship between these and the
representation of power. Chapter VI examines other human figural iconography through
the categories of figure-types depicted. The subject of chapter VII is the use of
compositional types as a means to assess the use made of beast imagery.
The thesis demonstrates for the first time in a systematic and quantified manner
that tympana are a significant feature of English Romanesque portals and that a strong
decorative character is shared by all tympana, thus contributing to the adornment of the
house of God in a befitting manner. It argues that the iconography was composed so as to
ensure the utility of the images as a focus for devotion for a wide variety of audiences and
as a means of expressing social values, particularly through the relationship between the
figures depicted and the representation of temporal power. The thesis also confirms that
the religion presented by examples with figural sculpture is centred on the authority of God
and the saints and on iconic symbols, rather than exemplars for emulation, reflecting the
conservative nature of devotion in local communities. The thesis therefore raises
important issues in relation to our understanding of portals as architectural features, the
expression of religious devotion and social values in local communities during the period,
and the use of portals in the practice of religious devotion
Towards Measuring Hydrophobic Hydration at Small and Large Scales
No full textThe hydrophobic effect is well-known, ubiquitous, and of critical importance to difficult problems such as protein folding and molecular self-assembly. The effect, as understood today, arises not from any direct force, but rather emerges from the statistics of many such forces acting on a variety of molecules. We have in our possession advanced theories aiming to predict the statistical outcomes of such systems without exhaustive sampling or extensive parameterization. However, certain key predictions of these theories lack validation, and their generalization to systems of nonideal hydrophobes or to mixed solutions remains an open question.
This thesis aims to describe these theories, analyze their predictions in the context of available experimental evidence, and add to that evidence. To this end, traditional tools such as contact angle measurements and vibrational spectroscopy will be employed in conjunction with single polymer pulling experiments and modern statistical analysis techniques. Machine learning methods will be examined as an avenue for increasing single molecule force spectroscopy throughput, with the specific goal of trackingrare events which might contain a large amount of information. Sum frequency generation data will be examined alongside solute-correlated Raman and infrared spectra, specifically for the investigation of aromatic hydrocarbons in the presence of protein-folding agents.Ph.D
Towards Measuring Hydrophobic Hydration at Small and Large Scales
No full textThe hydrophobic effect is well-known, ubiquitous, and of critical importance to difficult problems such as protein folding and molecular self-assembly. The effect, as understood today, arises not from any direct force, but rather emerges from the statistics of many such forces acting on a variety of molecules. We have in our possession advanced theories aiming to predict the statistical outcomes of such systems without exhaustive sampling or extensive parameterization. However, certain key predictions of these theories lack validation, and their generalization to systems of nonideal hydrophobes or to mixed solutions remains an open question.
This thesis aims to describe these theories, analyze their predictions in the context of available experimental evidence, and add to that evidence. To this end, traditional tools such as contact angle measurements and vibrational spectroscopy will be employed in conjunction with single polymer pulling experiments and modern statistical analysis techniques. Machine learning methods will be examined as an avenue for increasing single molecule force spectroscopy throughput, with the specific goal of trackingrare events which might contain a large amount of information. Sum frequency generation data will be examined alongside solute-correlated Raman and infrared spectra, specifically for the investigation of aromatic hydrocarbons in the presence of protein-folding agents.Ph.D
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