1,057 research outputs found
St. Patrick\u27s celebration
No full textGrab a lassie and kick up your heels! Famed Irish music duo Martin Hayes and Dennis Cahill join us for some festive fiddling in honor of St. Patrick\u27s Day. They talk about staying true to traditional Irish music, and touring around the world. They play in our studios — along with author Tim O\u27Grady and singer Aine Meenaghan — so get ready to break out a jig
St. Patrick\u27s celebration
No full textGrab a lassie and kick up your heels! Famed Irish music duo Martin Hayes and Dennis Cahill join us for some festive fiddling in honor of St. Patrick\u27s Day. They talk about staying true to traditional Irish music, and touring around the world. They play in our studios — along with author Tim O\u27Grady and singer Aine Meenaghan — so get ready to break out a jig
Evaluating Research Impact through Open Access to Scholarly Communication
No full textScientific research is a competitive business – in order to secure funding, promotion and tenure researchers must demonstrate their work has impact in their field. To maximise impact researchers undertake high priority research, aim to get results first, and publish in the highest impact journals. The Internet now presents a new opportunity to the scholarly author seeking higher impact: s/he can now make their work instantly accessible on the Web through author self-archiving. This growing body of open access literature (coupled with new publishing models that make journals available for-free to the reader) maximises research impact by maximising the number of people who can read it, and making it available sooner. Open access also provides a new opportunity for bibliometric research. This thesis describes the relatively recent phenomenon of open access to research literature, tools that were built to collect and analyse that literature, and the results of analyses of the effect of open access and its effect on author behaviour. It shows that articles self-archived by authors receive between 50-250% more citations, that rapid pre-printing on the Web has dramatically reduced the peak citation rate from over a year to virtually instant and how citation-impact – now widely used for evaluation – can be expanded to include a new web metric of download impact
UA61/16 Class of 2016
No full textPhysical Therapy Class of 2016 yearbook. Features the following students: Allen, Whitney Anderson, Alexis Baston, Allison Bell, Devin Coode, Rett Dahl, David DiTommaso, Katie Ford, April Fortney, Brianne Fuller, Megan Goutsis, Dominque Gunn, Lorelei Hall, Timothy Harlan, James Hicks, Jacob Hubbuch, Emily Jones, Tom Macke, Cristina aka Vegas(?) McKinney, Kelli McReynolds, Lauren Muse, Terrell Reece, Melissa Sims, Shannon Smith, Laura Smith, Wesley Stalcup, Patrick Vittitow, Kristi Wilson, Kimberley Wright, Emily Wright, William aka Jaso
Sarshaothar
No full textSarshaothar (pronounced sar-show-thar) is a Gaelic word meaning masterpiece. Music composition follows a long practiced tradition of the master-apprentice system. When an apprentice wished to become a practicing professional, a masterpiece was required. Sarshaothar is a seven minute composition for full orchestra, and was written in Houston, Texas. The work uses an expanded octatonic pitch collection, and a thirteen chord progression. These two elements start independent, then are woven together to form a complex piece with a wild finish. The work is dedicated to Judith Patrick, the mother of the author
Patterns of behavior in biodiversity preservation
No full textConservation budgets are limited, so it is right to ask of biodiversity programs, What should be preserved? How much should be preserved? Where? Recent papers on optimal preservation policy have tried to integrate three considerations: the relative uniqueness of different species or habitats, the degree of risk to their continued survival, and the opportunity cost of the resources needed to enhance their prospects for survival. It is natural to ask, How are we doing? Have biodiversity conservation resources been optimally allocated? What determines government decisions about the preservation of endangered species? The authors submit the first report card, an empirical analysis of U.S. species preservation policy, the best-documented country experience currently available. The authors discuss the most common normative justifications for biodiversity preservation and identify measurable proxies for a subset of those justifications. Proxies include"scientific"species characteristics, such as"degree of endangerment"and"taxonomic uniqueness,"as well as"visceral"characteristics, such as physical size and to what extent a species is considered a"higher form of life."They find that both kindsof characteristics, but especially"visceral"characteristics, influence government decisions on whether to protect a species under the Endangered Species Act. The authors find that"visceral"characteristics- especially physical size and taxonomic class - are also important in explaining how much is spent on endangered species. Perhaps more surprising is their finding that more is spent on animals with lower risk of extinction than on animals with a higher risk of extinction. The author's results are sobering. Many millions have been spent on species preservation, but neither uniqueness nor risk has weighed heavily in resource allocation. Instead there has been a heavy bias toward"charismatic megafauna"- large, well-known birds and mammals ("higher forms of life,"in the human value system). Other classes of fauna - including, say, eels or wild toads - and all flora, have gotten extremely short shrift. Prominent examples of species with high charisma, high attention, and relatively low endangerment are the bald eagle, the Florida scrub jay, and the grizzly bear. Other species may have less charisma but could have more scientific value or species risk.Wildlife Resources,Wetlands,Environmental Economics&Policies,Information Technology,Biodiversity
Structural changes in metals consumption
No full textFor 15 years the metals market has been characterized by slow growth - in some cases, even decline - in consumption. To test the proposition that structural changes in demand were the main cause of the slowdown, the author - drawing on U.S. data - uses an extended metals demand model that recognizes energy, labor, capital, and other materials as major inputs. The traditional model explains metals consumption in terms only of output and the prices of metal and its substitutes. It is inadequate to address the issue of structural change because it ignores other factors of production, such as energy, which have experienced dramatic changes. With the extended model, the null hypothesis of no structural change cannot be rejected for most metals. With the conventional model, the null hypothesis of no structural change is strongly rejected. Results with the extended model show that the downturn can be explained mostly by changes in the input variables, particularly such nonmetal inputs as capital and energy, which are much more important cost items than metals and have undergone drastic cost changes over the period.Environmental Economics&Policies,Economic Theory&Research,Montreal Protocol,Mining&Extractive Industry (Non-Energy),Primary Metals
COMPUTER STUDIES OF HEAT TRACER EXPERIMENTS IN FRACTURED ROCK
No full textRights Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author
Landscape and population ecology of ring-necked pheasants
No full textSpecies inhabiting intensively farmed landscapes are dependent on private and public lands managed for the benefit of wildlife. While the benefits of different management approaches at the field- and landscape scale are well-recognized, how to prioritize actions is less clear. Much of this difficulty arises from a lack of information about the mechanisms linking field- and landscape-scale management to population-level responses. I collected detailed demographic data on ring-necked pheasants on 14 public and private grasslands in east-central Illinois. I monitored 108 nests, 38 broods, and the survival and habitat use of 108 adult female ring-necked pheasants (Phasianus colchicus) throughout the year between May 2014 and August 2016. My goal was to better understand how field- and landscape-scale habitat features affected stage-specific demographic parameters and population growth in ring-necked pheasants. I found that field- and landscape-scale habitat features often had contrasting effects on chick survival, adult survival, and nest success. Increasing the proportion of grassland in the surrounding landscape improved nest success, but had a negative effect on chick survival. Similarly, the amount native grasses within fields had a positive effect on adult survival, but a negative effect on chick survival. Still, population growth was most sensitive to increases in native grass, but peaked at intermediate amounts of native grass cover. I also sought to identify the predators of pheasants and clarify how vegetation, field size, and landscape composition affect predation risk. I used automatic telemetry to determine the time of death and classify predators of male and female pheasants inhabiting 5 grassland fields. I classified the time of death for 70 pheasants and related field- and landscape-scale habitat conditions to predator identity for 32. My results showed that raptors were the most common predators of pheasants. Both raptors and mesopredators were more likely to prey on pheasants in large fields than small ones. Predation by raptors could be minimized by increasing the amount of native grasses within fields. Still, pheasant populations were growing during my study, suggesting that raptors were not limiting population growth. Overall, my research demonstrates the need for a mechanistic understanding of how field- and landscape conditions can affect the population demography of wildlife. By incorporating more detailed information about the relationship between habitat characteristics, predation patterns, and demography across multiple life-stages, wildlife managers can make more effective decisions.Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2019-12-01The student, Timothy Lyons, accepted the attached license on 2017-11-30 at 13:25.The student, Timothy Lyons, submitted this Dissertation for approval on 2017-11-30 at 13:32.This Dissertation was approved for publication on 2017-12-01 at 14:59.DSpace SAF Submission Ingestion Package generated from Vireo submission #11793 on 2018-03-13 at 09:56:21Made available in DSpace on 2018-03-13T15:25:17Z (GMT). No. of bitstreams: 2
LYONS-DISSERTATION-2017.pdf: 1348419 bytes, checksum: 0503bf94824034efdf867468c03896f3 (MD5)
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Previous issue date: 2017-12-01Embargo set by: Seth Robbins for item 105177
Lift date: 2020-03-13T15:25:40Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemEmbargo set by: Seth Robbins for item 105177
Lift date: 2020-03-13T15:28:52Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD systemU of I Only Restriction Lifted for Item 105177 on 2020-03-14T09:15:25Z
00-03 "Trade Liberalization and Pollution Intensive Industries in Developing Countries: A Partial Equilibrium Approach."
No full textEconomic theory suggests that liberalization of trade between countries with differing levels of environmental protection could lead pollution-intensive industry to concentrate in the nations where regulations are lax. This effect, often referred to as the "pollution haven" hypothesis, is much discussed in theory, but finds only ambiguous support in empirical research to date. Methodologies used for research on trade and environment differ widely; many are difficult to apply to practical policy questions. We develop a simple, partial equilibrium model explicitly designed to analyze the effects of a change in trade policy. Our model analyzes the relative concentrations of "clean" and "dirty" industries in two nations or regions, before and after the policy change. While lacking the theoretical rigor and mathematical intricacy of other modeling methods, our approach has the advantages of transparency and accessibility to a broad range of analysts and policy makers.
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