1,589 research outputs found
Peter Logan: Victorian Fetishism [Audio interview]
No full textPeter Logan is the author of Nerves and Narratives: A Cultural History of Hysteria in Nineteenth-Century British Prose (1997) and, more recently, Victorian Fetishism: Intellectuals and Primitives (2009). On May 15, 2012, Fred Rowland interviewed Peter Logan to discuss Victorian Fetishism, which details the development of ideas about the primitive and how these concepts set the boundaries of culture in Victorian Britain. Drawing from Lucretius, Vico, and Auguste Comte, Peter Logan explains how fetishism – the defining feature of culture’s absence – figured in the works of literary and cultural critic Matthew Arnold, realist novelist George Eliot, and anthropologist Edward Tylor.Temple University. College of Liberal ArtsTemple University. LibrariesEnglishLearning and Research ServicesAudacityAudacit
Statement of William P. Ellis
No full textStatement of William P. Ellis, made to Joel Ricks, around 1927
D-1471: Logan, Utah, Ellis and Mary S. Lloyd residence. Lot 8 Block 10 Plat C
No full textD-1471: Logan, Utah, Ellis and Mary S. Lloyd residence. Lot 8 Block 10 Plat
D-2476: Logan, Utah, Esther Anderson Jacobsen/Ellis J. and Leona B. Yeats residence. Lot 1 Block 37 Plat A
No full textD-2476: Logan, Utah, Esther Anderson Jacobsen/Ellis J. and Leona B. Yeats residence. Lot 1 Block 37 Plat
Ellis Johnson Yeates and Dora Leona Bunce Yeates grave marker in Logan, Utah, 1999
No full textEllis and Leona Yeates grave marker in the Logan, Utah Cemetery (1000 North 1200 East). Flowers are engraved on the left and right sides of the headstone. Attached to the center of the headstone covering an engraving of an LDS Temple is a Thanksgiving cardboard decoration of a small pumpkin and a basket of fruit sitting behind a small Pilgrim boy kneeling down on one knee holding onto a large pumpkin. To the left of the headstone is a blue pinwheel
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
LOGAN: High-Performance GPU-Based X-Drop Long-Read Alignment
No full textPairwise sequence alignment is one of the most computationally intensive kernels in genomic data analysis, accounting for more than 90% of the runtime for key bioinformatics applications. This method is particularly expensive for third-generation sequences due to the high computational cost of analyzing sequences of length between 1Kb and 1Mb. Given the quadratic overhead of exact pairwise algorithms for long alignments, the community primarily relies on approximate algorithms that search only for high-quality alignments and stop early when one is not found. In this work, we present the first GPU optimization of the popular X-drop alignment algorithm, that we named LOGAN. Results show that our high-performance multi-GPU implementation achieves up to 181.6 GCUPS and speed-ups up to 6.6× and 30.7× using 1 and 6 NVIDIA Tesla V100, respectively, over the state-of-the-art software running on two IBM Power9 processors using 168 CPU threads, with equivalent accuracy. We also demonstrate a 2.3× LOGAN speed-up versus ksw2, a state-of-art vectorized algorithm for sequence alignment implemented in minimap2, a long-read mapping software. To highlight the impact of our work on a real-world application, we couple LOGAN with a many-to-many long-read alignment software called BELLA, and demonstrate that our implementation improves the overall BELLA runtime by up to 10.6×. Finally, we adapt the Roofline model for LOGAN and demonstrate that our implementation is near optimal on the NVIDIA Tesla V100s
Efficient and Inefficient Composites in the U.S. Domestic Property–Casualty Insurance Industry
No full textPeter M. Ellis, Ph.D., is a professor of management at Utah State University, Logan, UT, 84322-3510
(Ellis), Margaret - Emancipation Index Record
No full textEmancipation index record of (Ellis), Margaret
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