5,846 research outputs found
Andrew M. Mead, 2001 UMaine Commencement Address
No full textThe text of Chief Justice of the Maine Superior Court Andrew M. Mead\u27s address to graduates of the University of Maine Class of 2001 on May 19, 2001
Lawyers in Libraries: A New Approach to Justice in Maine
No full textAndrew Mead describes the emerging partnership between libraries and lawyers, whereby lawyers provide pro bono legal advice in libraries both in person and through remote teleconferencing capability
Father Andrew Mullen 1790-1818: a study in early nineteenth century spirituality
No full textThis thesis is laid out in three parts: Part I. The life and death of Andrew Mullen. The life is based, to a large extent, on a long letter to his mother, Catherine Mullen, dated 7 January 1810. The letter gives a definite insight into his spirituality based on his membership of the Archconfraternity of the Blessed Sacrament. There is a hint that he had a premonition of an early death. Part II. The burial of Andrew Mullen and the immediate cult to him This is based on documentary evidence. Part III. Most of this part is a catalogue of testimonies taken from 1993 onwards. Then there is the conclusion on the popular devotion to Andrew Mullen stressing the theological aspect of the subject. In the course of writing the thesis it was decided to separate the documentary evidence from the oral tradition. This was advantageous in developing the thesis, and the documents provided a secure basis for the oral tradition. Two pieces of information were found in March 1997. They are death notices: 2 January 1819, The Leinster Journal and 7 January 1819, The Car low Morning Post. There is a slight discrepancy between the two on the date of his death. Also this discrepancy shows a slight difference from the date of the tombstone
Supplemental Material, sj-pdf-1-her-10.1177_19375867231154250 - The Variable Impact of Clinical Risk-Adjustment Models to Evaluate Hospital Design
No full textSupplemental Material, sj-pdf-1-her-10.1177_19375867231154250 for The Variable Impact of Clinical Risk-Adjustment Models to Evaluate Hospital Design by Mitchell Mead, Upali Nanda and Andrew M. Ibrahim in HERD: Health Environments Research & Design Journal</p
Supplemental Material, sj-pdf-2-her-10.1177_19375867231154250 - The Variable Impact of Clinical Risk-Adjustment Models to Evaluate Hospital Design
No full textSupplemental Material, sj-pdf-2-her-10.1177_19375867231154250 for The Variable Impact of Clinical Risk-Adjustment Models to Evaluate Hospital Design by Mitchell Mead, Upali Nanda and Andrew M. Ibrahim in HERD: Health Environments Research & Design Journal</p
Dispelling the Myths Behind First-author Citation Counts
No full textWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
A prospective clinicopathological study of dose modified CODOX-M/IVAC in patients with sporadic Burkitt lymphoma defined using cytogenetic and immunophenotypic criteria (MRC/NCRI LY10 trial).
No full textThis prospective study aimed to develop reproducible diagnostic criteria for sporadic Burkitt lymphoma (BL), applicable to routine practice, and to evaluate the efficacy of dose-modified (dm) CODOX-M/IVAC in patients diagnosed using these criteria. The study was open to patients with an aggressive B-cell lymphoma with an MKI67 fraction approaching 100%. Immunophenotype and fluorescent in situ hybridization (FISH) were used to separate BL from other aggressive B-cell lymphomas. BL was characterized by the presence of a cMYC rearrangement as a sole cytogenetic abnormality occurring in patients with a germinal center phenotype with absence of BCL-2 expression and abnormal TP53 expression. A total of 128 patients were eligible for the study, of whom 58 were considered to have BL and 70 to have diffuse large B-cell lymphoma (DLBCL). There were 110 clinically fit patients who received dmCODOX-M (methotrexate, dose 3 g/m2) with or without IVAC according to risk group. The 2-year progression-free survival was 64% (95% confidence interval [CI] 51%-77%) for BL, 55% (95% CI 42%-66%) for DLBCL, 85% (95% CI 73%-97%) for low risk, and 49% (95% CI 38%-60%) for high-risk patients. The observed differences in outcome and other clinical features validate the proposed diagnostic criteria. Compared with the previous trial LY06 with full-dose methotrexate (6.7 g/m2), there was a reduction in toxicity with comparable outcomes. This study was registered at www.clinicaltrials.gov as NCT00040690 [ClinicalTrials.gov] . <br/
Strategic Data Mining and Database Development for Research Projects at Lake Mead, Nevada-Arizona USA
No full text“Water 2025” is a Department of Interior initiative designed to guide the management of scarce water resources in the American West. As an important Colorado River reservoir, Lake Mead is a fundamental component of Water 2025. For Water 2025 to achieve its goals, comprehensive knowledge is needed of historic and current Lake Mead water quality data. A task agreement between the National Park Service and the University of Nevada, Las Vegas provides for a strategic data mining project to identify research and monitoring projects on Lake Mead that have been conducted in the past, prioritize relevant projects, and ensure data availability by converting the data to an electronic format.
During the first phase of the project a comprehensive literature search was conducted to discover research projects focused on Lake Mead, particularly those focused on the topics of water quality, limnology, contaminants, fisheries, aquatic biota, and riparian/shoreline resources. A relational database was created using Microsoft Access to serve as a repository for descriptive data for Lake Mead research projects. Data is structured to allow multi-field searches for project results with sub-headings such as: research topics, research locations, parameters measured, and date or duration of research. A ranking system allows for prioritization of data mining activities and the capture of electronic data during the project’s second phase. The ultimate goal of this project is to make historic data more available to the managers and researchers working towards meeting the goals of Water 2025
Strategic Data Mining and Database Development for Research Projects at Lake Mead, Nevada-Arizona USA
No full text“Water 2025” is a Department of Interior initiative designed to guide the management of scarce water resources in the American West. As an important Colorado River reservoir, Lake Mead is a fundamental component of Water 2025. For Water 2025 to achieve its goals, comprehensive knowledge is needed of historic and current Lake Mead water quality data. A task agreement between the National Park Service and the University of Nevada, Las Vegas provides for a strategic data mining project to identify research and monitoring projects on Lake Mead that have been conducted in the past, prioritize relevant projects, and ensure data availability by converting the data to an electronic format.
During the first phase of the project a comprehensive literature search was conducted to discover research projects focused on Lake Mead, particularly those focused on the topics of water quality, limnology, contaminants, fisheries, aquatic biota, and riparian/shoreline resources. A relational database was created using Microsoft Access to serve as a repository for descriptive data for Lake Mead research projects. Data is structured to allow multi-field searches for project results with sub-headings such as: research topics, research locations, parameters measured, and date or duration of research. A ranking system allows for prioritization of data mining activities and the capture of electronic data during the project’s second phase. The ultimate goal of this project is to make historic data more available to the managers and researchers working towards meeting the goals of Water 2025
The Grouped Author-Topic Model for Unsupervised Entity Resolution
No full textThis paper describes a generative approach for tackling the problem of identity resolution in a completely unsupervised context with no fixed assumption regarding the true number of identities. The problem of entity resolution involves associating different references to authors (in a paper's author list, for example) with real underlying identities. The references may be written in differing forms or may have errors, and identical references may refer to different real identities. The approach taken here uses a generative model of both the abstract of a document and its list of authors to resolve identities in a corpus of documents. In the model, authors and topics are associated with latent groups. For each document, an abstract and an author list are generated conditioned on a given group. Results are presented on real-world datasets, and outperform the best performing unsupervised methods.</p
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