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- Title
- Impact of reduction mowing on fire ants (Hymenoptera: Formiciade) at Gopher tortoise (Testudines: Testudinidae) burrows.
- Creator
- Jones, Richard, Wetterer, James K., Moore, Jon, Harriet L. Wilkes Honors College
- Abstract/Description
-
Many species prey upon the threatened gopher tortoises, including the Red Imported Fir Ants Solenopsis invicta. While human alterations to native habitat have led to a decline in gopher tortoises, “disturbance specialists” like S. invicta often thrive on such changes. This study examines three ant surveys at gopher tortoise burrows within a section of residential “greenway” in southeastern Florida before and after “reduction mowing”. While the presence of S. invicta did decrease aftrer the...
Show moreMany species prey upon the threatened gopher tortoises, including the Red Imported Fir Ants Solenopsis invicta. While human alterations to native habitat have led to a decline in gopher tortoises, “disturbance specialists” like S. invicta often thrive on such changes. This study examines three ant surveys at gopher tortoise burrows within a section of residential “greenway” in southeastern Florida before and after “reduction mowing”. While the presence of S. invicta did decrease aftrer the reduction mowing, the numbers of native ants and ant species richness in general showed a significant decline. Another invasive ant, the Little Fire Ant, Wasmannia auropunctata (Roger, 1863), showed a significant increase after the mowing. While not as destructive as S. invicta, W.auropunctata has been documented to be a significant pest to many terrestrial vertebrates and should be considered a potential threat in future gopher tortoise and land management schemes.
Show less - Date Issued
- 2013
- PURL
- http://purl.flvc.org/fau/fd/FA00003519
- Format
- Document (PDF)
- Title
- HIGH EFFICIENCY POWER AMPLIFIER DESIGN.
- Creator
- JONES, LEE JAMES., Florida Atlantic University, Graham, Peter
- Abstract/Description
-
Classes of operation of solid state power amplifiers are surveyed with an emphasis on high efficiency radio frequency applications. Classes A through H and S are covered, with the first three classes combined in a unified analysis. Time domain analyses of the switched-mode classes, D through S, include the effects of stray reactances, switch transition times, and load variations. For class E, a point of optimum operation is derived, and component values are determined assuming optimum...
Show moreClasses of operation of solid state power amplifiers are surveyed with an emphasis on high efficiency radio frequency applications. Classes A through H and S are covered, with the first three classes combined in a unified analysis. Time domain analyses of the switched-mode classes, D through S, include the effects of stray reactances, switch transition times, and load variations. For class E, a point of optimum operation is derived, and component values are determined assuming optimum operation. The multi-resonator and transmission line forms of class F are analyzed. In the last section, audio amplifier and modulator applications of classes G, H, and S are discussed. The characteristics of all the classes of power amplifiers discussed are summarized in a table at the end of the paper.
Show less - Date Issued
- 1985
- PURL
- http://purl.flvc.org/fcla/dt/14276
- Subject Headings
- Power amplifiers
- Format
- Document (PDF)
- Title
- Feeling the beat: a smart hand exoskeleton for learning to play musical instruments.
- Creator
- Maohua Lin, Rudy Paul, Moaed Abd, James Jones, Darryl Dieujuste, Harvey Chim, Erik D. Engeberg
- Abstract/Description
-
Individuals who have suffered neurotrauma like a stroke or brachial plexus injury often experience reduced limb functionality. Soft robotic exoskeletons have been successful in assisting rehabilitative treatment and improving activities of daily life but restoring dexterity for tasks such as playing musical instruments has proven challenging. This research presents a soft robotic hand exoskeleton coupled with machine learning algorithms to aid in relearning how to play the piano by ‘feeling’...
Show moreIndividuals who have suffered neurotrauma like a stroke or brachial plexus injury often experience reduced limb functionality. Soft robotic exoskeletons have been successful in assisting rehabilitative treatment and improving activities of daily life but restoring dexterity for tasks such as playing musical instruments has proven challenging. This research presents a soft robotic hand exoskeleton coupled with machine learning algorithms to aid in relearning how to play the piano by ‘feeling’ the difference between correct and incorrect versions of the same song. The exoskeleton features piezoresistive sensor arrays with 16 taxels integrated into each fingertip. The hand exoskeleton was created as a single unit, with polyvinyl acid (PVA) used as a stent and later dissolved to construct the internal pressure chambers for the five individually actuated digits. Ten variations of a song were produced, one that was correct and nine containing rhythmic errors. To classify these song variations, Random Forest (RF), K-Nearest Neighbor (KNN), and Artificial Neural Network (ANN) algorithms were trained with data from the 80 taxels combined from the tactile sensors in the fingertips. Feeling the differences between correct and incorrect versions of the song was done with the exoskeleton independently and while the exoskeleton was worn by a person. Results demonstrated that the ANN algorithm had the highest classification accuracy of 97.13% ± 2.00% with the human subject and 94.60% ± 1.26% without. These findings highlight the potential of the smart exoskeleton to aid disabled individuals in relearning dexterous tasks like playing musical instruments.
Show less - Date Issued
- 2023
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000534
- Format
- Document (PDF)
- Title
- Biomass offsets little or none of permafrost carbon release from soils, streams, and wildfire: an expert assessment.
- Creator
- Abbott, Benjamin W., Jones, Jeremy B., Schuur, Edward A. G., Chapin III, F. Stuart, Bowden, William B., Bret-Harte, M. Syndonia, Epstein, Howard E., Flannigan, Michael D., Harms, Tamara K., Hollingsworth, Teresa N., Mack, Michelle C., McGuire, A. David, Natali, Susan M., Rocha, Adrian V., Tank, Suzanne E., Turetsky, Merritt R., Vonk, Jorien E., Wickland, Kimberly P., Aiken, George R., Alexander, Heather D., Amon, Rainer M. W., Benscoter, Brian, Bergeron, Yves, Bishop, Kevin, Blarquez, Olivier, Bond-Lamberty, Ben, Breen, Amy L., Buffam, Ishi, Cai, Yihua, Carcaillet, Christopher, Carey, Sean K., Chen, Jing M., Chen, Han Y. H., Christensen, Torben R., Cooper, Lee W., Cornelissen, J. Hans C., de Groot, William J., DeLuca, Thomas H., Dorrepaal, Ellen, Fetcher, Ned, Finlay, Jacques C., Forbes, Bruce C., French, Nancy H. F., Gauthier, Sylvie, Girardin, Martin P., Goetz, Scott J., Goldammer, Johann G., Gough, Laura, Grogan, Paul, Guo, Laodong, Higuera, Philip E., Hinzman, Larry, Hu, Feng Sheng, Hugelius, Gustaf, Jafarov, Elchin E., Jandt, Randi, Johnstone, Jill F., Jan Karlsson, Kasischke, Eric S., Kattner, Gerhard, Kelly, Ryan, Keuper, Frida, Kling, George W., Kortelainen, Pirkko, Kouki, Jari, Kuhry, Peter, Laudon, Hjalmar, Laurion, Isabelle, Macdonald, Robie W., Mann, Paul J., Martikainen, Pertti J., McClelland, James W., Molau, Ulf, Oberbauer, Steven F., Olefeldt, David, Paré, David, Parisien, Marc-André, Payette, Serge, Peng, Changhui, Pokrovsky, Oleg S., Rastetter, Edward B., Raymond, Peter A., Raynolds, Martha K., Rein, Guillermo, Reynolds, James F., Robards, Martin, Rogers, Brendan M., Schädel, Christina, Schaefer, Kevin, Schmidt, Inger K., Shvidenko, Anatoly, Sky, Jasper, Spencer, Robert G. M., Starr, Gregory, Striegl, Robert G., Teisserenc, Roman, Tranvik, Lars J., Virtanen, Tarmo, Welker, Jeffrey M., Zimov, Sergei
- Date Issued
- 2016-03-07
- PURL
- http://purl.flvc.org/fau/fd/FAUIR000121
- Format
- Citation
- Title
- Biomass offsets little or none of permafrost carbon release from soils, streams, and wildfire: an expert assessment.
- Creator
- Abbott, Benjamin W, Jones, Jeremy B, Schuur, Edward A G, Chapin III, F Stuart, Bowden, William B, Bret-Harte, M Syndonia, Epstein, Howard E, Flannigan, Michael D, Harms, Tamara K, Hollingsworth, Teresa N, Mack, Michelle C, McGuire, A David, Natali, Susan M, Rocha, Adrian V, Tank, Suzanne E, Turetsky, Merritt R, Vonk, Jorien E, Wickland, Kimberly P, Aiken, George R, Alexander, Heather D, Amon, Rainer M W, Benscoter, Brian W, Bergeron, Yves, Bishop, Kevin, Blarquez, Olivier, Ben Bond-Lamberty, Breen, Amy L, Buffam, Ishi, Cai, Yihua, Carcaillet, Christopher, Carey, Sean K, Chen, Jing M, Chen, Han Y H, Christensen, Torben R, Cooper, Lee W, Cornelissen, J Hans C, de Groot, William J, DeLuca, Thomas H, Dorrepaal, Ellen, Fetcher, Ned, Finlay, Jacques C, Forbes, Bruce C, French, Nancy H F, Gauthier, Sylvie, Girardin, Martin P, Goetz, Scott J, Goldammer, Johann G, Gough, Laura, Grogan, Paul, Guo, Laodong, Higuera, Philip E, Hinzman, Larry, Hu, Feng Sheng, Hugelius, Gustaf, Jafarov, Elchin E, Jandt, Randi, Johnstone, Jill F, Jan Karlsson, Kasischke, Eric S, Kattner, Gerhard, Kelly, Ryan, Keuper, Frida, Kling, George W, Kortelainen, Pirkko, Kouki, Jari, Kuhry, Peter, Laudon, Hjalmar, Laurion, Isabelle, Macdonald, Robie W, Mann, Paul J, Martikainen, Pertti J, McClelland, James W, Molau, Ulf, Oberbauer, Steven F, Olefeldt, David, Paré, David, Parisien, Marc-André, Payette, Serge, Peng, Changhui, Pokrovsky, Oleg S, Rastetter, Edward B, Raymond, Peter A, Raynolds, Martha K, Rein, Guillermo, Reynolds, James F, Robards, Martin, Rogers, Brendan M, Schädel, Christina, Schaefer, Kevin, Schmidt, Inger K, Shvidenko, Anatoly, Sky, Jasper, Spencer, Robert G M, Starr, Gregory, Striegl, Robert G, Teisserenc, Roman, Tranvik, Lars J, Virtanen, Tarmo, Welker, Jeffrey M, Zimov, Sergei
- Date Issued
- 2016-03-07
- PURL
- http://purl.flvc.org/fau/flvc_fau_islandoraimporter_10.1088_1748-9326_11_3_034014_1632246943
- Format
- Citation