17 research outputs found

    Moyo Vol. VIII N 2

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    Durica, Paul. Editor\u27s Letter . 4. Fisher, Dan. Heaven for Thunder (Thoughts on the Last Execution) . 5. Anshuman, Karan. Return to Sender (Mail-Order Brides Log-On Love) . 6. Grindstaff, Michelle. Madonna or Whore (Language Traps Female Sexuality) . 7. Thackeray, Alex. Strike Against the Right (Canada Collegians Take Action) . 8. Dotson, Dorothy. Tori Listening to Mullet Boy . 10. Stine, Alison. Tori Story (Secrets of a Toriphile: Good Girl Gets Plugged) . 11. Barret, Laura. Late Night Crush (Girl Crazy for Conan) . 15. Hankinson, Tom. Environmentally friendly, or Else (DURP tough on DU Junk) . 16. Bussan, David. Fantasy\u27s Island (Alums Find Paradise in Northern Cyprus) . 18. Burt, Kara. Innocents on Break (Students Exercise Alternatives in New York) . 21. Werne, Kirsten. Two Turntables and a Ten-Gallon Hat . 23. Million, Chris. Friendship a Modem Away, Sigh (AOL Alters Denison Social Scene) . 34

    Moyo Vol. VIII N 1

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    Durica, Paul Editor\u27s Letter . 4. Thackeray, Alex. Postcard from the sXe . 5. Ward, Luc. Gods & Monsters (Hook-Up at Church) . 6. Anshuman, Karan. The India Nobody Knows (Mysticism and Misconceptions Revealed) . 8. Clements, Nina and Betsy Falconer. God as One of Us: Diverse Faiths Thrive at Denison . 10. Million, Chris. Splendor in the Fall (First Year Love Bittersweet) . 16. Grindstaff, Michelle. Beer by Night, Bed by Morning . 17. Hart, Madeline and Meredith Newman. Smoke Alarm: Reading This may Cause Lung Cancer, Heart Disease, Emphysema, and Complicate Pregnancy . 21. Almirall, Sara and Kirsten Werne. 20 Best Spots to Smoke on Campus . 22. Werne, Kirsten. An Interview with Painted Thin . 23. Burt, Kara. All in All, We\u27re Just Paper o the Wall (Dorm Art Clue to Denison Identity) . 25. Levine, Robert. Less Talk, Moore Rock (Thurston\u27 Sound Uplifts Soul) . 30. Almirall, R.R. Turtles . 31. Almirall, RR. The Warthog Feels He Has Much in Common With Paul Newman, Others Don\u27t . 20

    Attrition, physical integrity and insecticidal activity of long-lasting insecticidal nets in sub-Saharan Africa and modelling of their impact on vectorial capacity

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    Long-lasting insecticidal nets (LLINs) are the primary malaria prevention and control intervention in many parts of sub-Saharan Africa. While LLINs are expected to last at least 3 years under normal use conditions, they can lose effectiveness because they fall out of use, are discarded, repurposed, physically damaged, or lose insecticidal activity. The contributions of these different interrelated factors to durability of nets and their protection against malaria have been unclear.; Starting in 2009, LLIN durability studies were conducted in seven countries in Africa over 5 years. WHO-recommended measures of attrition, LLIN use, insecticidal activity, and physical integrity were recorded for eight different net brands. These data were combined with analyses of experimental hut data on feeding inhibition and killing effects of LLINs on both susceptible and pyrethroid resistant malaria vectors to estimate the protection against malaria transmission-in terms of vectorial capacity (VC)-provided by each net cohort over time. Impact on VC was then compared in hypothetical scenarios where one durability outcome measure was set at the best possible level while keeping the others at the observed levels.; There was more variability in decay of protection over time by country than by net brand for three measures of durability (ratios of variance components 4.6, 4.4, and 1.8 times for LLIN survival, use, and integrity, respectively). In some countries, LLIN attrition was slow, but use declined rapidly. Non-use of LLINs generally had more effect on LLIN impact on VC than did attrition, hole formation, or insecticide loss.; There is much more variation in LLIN durability among countries than among net brands. Low levels of use may have a larger impact on effectiveness than does variation in attrition or LLIN degradation. The estimated entomological effects of chemical decay are relatively small, with physical decay probably more important as a driver of attrition and non-use than as a direct cause of loss of effect. Efforts to maximize LLIN impact in operational settings should focus on increasing LLIN usage, including through improvements in LLIN physical integrity. Further research is needed to understand household decisions related to LLIN use, including the influence of net durability and the presence of other nets in the household

    Do functional or morphological classifications explain stream phytobenthic community assemblages?

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    There are many useful metrics currently available to explain ecological variation within phytobenthic communities. However, most metrics are challenging to use (requiring specialist taxonomic skills and knowledge), limiting their widespread applicability. Furthermore, because most metrics have been developed to represent ecological responses to single pressures, no single metric in isolation can effectively describe complex changes in the state of communities responding to multiple environmental pressures. Understanding of such changes therefore requires the use of multiple metrics to account for the impacts of many environmental pressures. This study explores the potential of functional and morphological classifications to explain phytobenthic community responses to differences in nutrient concentration, current velocity, simulated high flow disturbances and invertebrate grazers. Three previously used phytobenthic classifications and a new metric developed from a phytoplankton classification were tested using two datasets from streams in the north west of England in 2010. A combination of the newly applied morphological classification (using maximum linear dimension, surface area and volume) and a functional classification (using life-forms) showed great potential for aiding the understanding of phytobenthic community responses to environmental pressures. Furthermore, it is suggested that, with further testing, this new classification, which requires less specialist knowledge, could be widely implemented and would potentially give great insight into the ecology of the entire phytobenthic community

    Emergent constraints on climate sensitivities

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    Despite major advances in climate science over the last 30 years, persistent uncertainties in projections of future climate change remain. Climate projections are produced with increasingly complex models that attempt to represent key processes in the Earth system, including atmospheric and oceanic circulations, convection, clouds, snow, sea ice, vegetation, and interactions with the carbon cycle. Uncertainties in the representation of these processes feed through into a range of projections from the many state-of-the-art climate models now being developed and used worldwide. For example, despite major improvements in climate models, the range of equilibrium global warming due to doubling carbon dioxide still spans a range of more than 3. Here a promising way to make use of the ensemble of climate models to reduce the uncertainties in the sensitivities of the real climate system is reviewed. The emergent constraint approach uses the model ensemble to identify a relationship between an uncertain aspect of the future climate and an observable variation or trend in the contemporary climate. This review summarizes previous published work on emergent constraints and discusses the promise and potential dangers of the approach. Most importantly, it argues that emergent constraints should be based on well-founded physical principles such as the fluctuation-dissipation theorem. This review will stimulate physicists to contribute to the rapidly developing field of emergent constraints on climate projections, bringing to it much needed rigor and physical insights
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