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You searched for +publisher:"University of New Mexico" +contributor:("Moses, Melanie"). Showing records 1 – 29 of 29 total matches.

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University of New Mexico

1. Miles, Edward C. Hopscotch: Robust Multi-agent Search.

Degree: Department of Computer Science, 2013, University of New Mexico

 The task of searching a space is critical to a wide range of diverse applications such as land mine clearing and planetary exploration. Because applications… (more)

Subjects/Keywords: multi-agent; search; coverage; task allocation; mobile robots; cellular decomposition; contract net; swarm robotics

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APA (6th Edition):

Miles, E. C. (2013). Hopscotch: Robust Multi-agent Search. (Masters Thesis). University of New Mexico. Retrieved from http://hdl.handle.net/1928/23202

Chicago Manual of Style (16th Edition):

Miles, Edward C. “Hopscotch: Robust Multi-agent Search.” 2013. Masters Thesis, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/23202.

MLA Handbook (7th Edition):

Miles, Edward C. “Hopscotch: Robust Multi-agent Search.” 2013. Web. 01 Mar 2021.

Vancouver:

Miles EC. Hopscotch: Robust Multi-agent Search. [Internet] [Masters thesis]. University of New Mexico; 2013. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/23202.

Council of Science Editors:

Miles EC. Hopscotch: Robust Multi-agent Search. [Masters Thesis]. University of New Mexico; 2013. Available from: http://hdl.handle.net/1928/23202


University of New Mexico

2. Brunetti, Tonya. Transcriptional regulation of muscle development in Drosophila melanogaster.

Degree: UNM Biology Department, 2015, University of New Mexico

 The transcriptional regulation of muscle development involves several complex processes that must work together in order to form functional, syncytial muscle cells. However, when transcription… (more)

Subjects/Keywords: Drosophila melanogaster; muscle development; genetic algorithm; myocyte enhancer factor-2; myoblast fusion; entropy; transcriptional regulation

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APA (6th Edition):

Brunetti, T. (2015). Transcriptional regulation of muscle development in Drosophila melanogaster. (Doctoral Dissertation). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/biol_etds/9

Chicago Manual of Style (16th Edition):

Brunetti, Tonya. “Transcriptional regulation of muscle development in Drosophila melanogaster.” 2015. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. https://digitalrepository.unm.edu/biol_etds/9.

MLA Handbook (7th Edition):

Brunetti, Tonya. “Transcriptional regulation of muscle development in Drosophila melanogaster.” 2015. Web. 01 Mar 2021.

Vancouver:

Brunetti T. Transcriptional regulation of muscle development in Drosophila melanogaster. [Internet] [Doctoral dissertation]. University of New Mexico; 2015. [cited 2021 Mar 01]. Available from: https://digitalrepository.unm.edu/biol_etds/9.

Council of Science Editors:

Brunetti T. Transcriptional regulation of muscle development in Drosophila melanogaster. [Doctoral Dissertation]. University of New Mexico; 2015. Available from: https://digitalrepository.unm.edu/biol_etds/9


University of New Mexico

3. Burger, Joseph Robert. Macroecology and Sociobiology of Humans and other Mammals.

Degree: UNM Biology Department, 2015, University of New Mexico

 Despite being the most studied species on the planet, ecologists typically do not study humans the same way we study other organisms. My Ph.D. thesis… (more)

Subjects/Keywords: Human Ecology; Macroecology; Metabolic Ecology; Sociality; Sustainability; Cities

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APA (6th Edition):

Burger, J. R. (2015). Macroecology and Sociobiology of Humans and other Mammals. (Doctoral Dissertation). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/biol_etds/11

Chicago Manual of Style (16th Edition):

Burger, Joseph Robert. “Macroecology and Sociobiology of Humans and other Mammals.” 2015. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. https://digitalrepository.unm.edu/biol_etds/11.

MLA Handbook (7th Edition):

Burger, Joseph Robert. “Macroecology and Sociobiology of Humans and other Mammals.” 2015. Web. 01 Mar 2021.

Vancouver:

Burger JR. Macroecology and Sociobiology of Humans and other Mammals. [Internet] [Doctoral dissertation]. University of New Mexico; 2015. [cited 2021 Mar 01]. Available from: https://digitalrepository.unm.edu/biol_etds/11.

Council of Science Editors:

Burger JR. Macroecology and Sociobiology of Humans and other Mammals. [Doctoral Dissertation]. University of New Mexico; 2015. Available from: https://digitalrepository.unm.edu/biol_etds/11


University of New Mexico

4. Burnside, William. Pattern and process in metabolic ecology : from biotic interactions to cultural diversity gradients.

Degree: UNM Biology Department, 2012, University of New Mexico

 Many ecological patterns and processes are functions of metabolism (Brown 2004), meaning the acquisition, transformation, and allocation of energy, materials, and information within the bodies… (more)

Subjects/Keywords: metabolic ecology macroecology

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APA (6th Edition):

Burnside, W. (2012). Pattern and process in metabolic ecology : from biotic interactions to cultural diversity gradients. (Doctoral Dissertation). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/biol_etds/12

Chicago Manual of Style (16th Edition):

Burnside, William. “Pattern and process in metabolic ecology : from biotic interactions to cultural diversity gradients.” 2012. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. https://digitalrepository.unm.edu/biol_etds/12.

MLA Handbook (7th Edition):

Burnside, William. “Pattern and process in metabolic ecology : from biotic interactions to cultural diversity gradients.” 2012. Web. 01 Mar 2021.

Vancouver:

Burnside W. Pattern and process in metabolic ecology : from biotic interactions to cultural diversity gradients. [Internet] [Doctoral dissertation]. University of New Mexico; 2012. [cited 2021 Mar 01]. Available from: https://digitalrepository.unm.edu/biol_etds/12.

Council of Science Editors:

Burnside W. Pattern and process in metabolic ecology : from biotic interactions to cultural diversity gradients. [Doctoral Dissertation]. University of New Mexico; 2012. Available from: https://digitalrepository.unm.edu/biol_etds/12


University of New Mexico

5. Okie, Jordan G. Allometric scaling and metabolic ecology of microorganisms and major evolutionary transitions.

Degree: UNM Biology Department, 2011, University of New Mexico

 My dissertation centers around investigating big-picture questions related to understanding the consequences of metabolism and energetics on the evolution, ecology, and physiology of life. The… (more)

Subjects/Keywords: Major evolutionary transitions; Metabolic theory of ecology; Microbial ecology; Thermodynamics; Kinetics; Allometric scaling; Unicellular organisms; Body size; Cell physiological ecology

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APA (6th Edition):

Okie, J. G. (2011). Allometric scaling and metabolic ecology of microorganisms and major evolutionary transitions. (Doctoral Dissertation). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/biol_etds/89

Chicago Manual of Style (16th Edition):

Okie, Jordan G. “Allometric scaling and metabolic ecology of microorganisms and major evolutionary transitions.” 2011. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. https://digitalrepository.unm.edu/biol_etds/89.

MLA Handbook (7th Edition):

Okie, Jordan G. “Allometric scaling and metabolic ecology of microorganisms and major evolutionary transitions.” 2011. Web. 01 Mar 2021.

Vancouver:

Okie JG. Allometric scaling and metabolic ecology of microorganisms and major evolutionary transitions. [Internet] [Doctoral dissertation]. University of New Mexico; 2011. [cited 2021 Mar 01]. Available from: https://digitalrepository.unm.edu/biol_etds/89.

Council of Science Editors:

Okie JG. Allometric scaling and metabolic ecology of microorganisms and major evolutionary transitions. [Doctoral Dissertation]. University of New Mexico; 2011. Available from: https://digitalrepository.unm.edu/biol_etds/89


University of New Mexico

6. Bezerra, George. Energy consumption in networks on chip : efficiency and scaling.

Degree: Department of Computer Science, 2012, University of New Mexico

 Computer architecture design is in a new era where performance is increased by replicating processing cores on a chip rather than making CPUs larger and… (more)

Subjects/Keywords: multi-core; many-core; energy consumption; communicaiton locality; scaling

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APA (6th Edition):

Bezerra, G. (2012). Energy consumption in networks on chip : efficiency and scaling. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/21020

Chicago Manual of Style (16th Edition):

Bezerra, George. “Energy consumption in networks on chip : efficiency and scaling.” 2012. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/21020.

MLA Handbook (7th Edition):

Bezerra, George. “Energy consumption in networks on chip : efficiency and scaling.” 2012. Web. 01 Mar 2021.

Vancouver:

Bezerra G. Energy consumption in networks on chip : efficiency and scaling. [Internet] [Doctoral dissertation]. University of New Mexico; 2012. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/21020.

Council of Science Editors:

Bezerra G. Energy consumption in networks on chip : efficiency and scaling. [Doctoral Dissertation]. University of New Mexico; 2012. Available from: http://hdl.handle.net/1928/21020


University of New Mexico

7. Villalon, Ricardo. Fault-tolerant wireless sensor networks using evolutionary games.

Degree: Department of Computer Science, 2012, University of New Mexico

 This dissertation proposes an approach to creating robust communication systems in wireless sensor networks, inspired by biological and ecological systems, particularly by evolutionary game theory.… (more)

Subjects/Keywords: Wireless Sensor Networks; Agent-based systems

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APA (6th Edition):

Villalon, R. (2012). Fault-tolerant wireless sensor networks using evolutionary games. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/22075

Chicago Manual of Style (16th Edition):

Villalon, Ricardo. “Fault-tolerant wireless sensor networks using evolutionary games.” 2012. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/22075.

MLA Handbook (7th Edition):

Villalon, Ricardo. “Fault-tolerant wireless sensor networks using evolutionary games.” 2012. Web. 01 Mar 2021.

Vancouver:

Villalon R. Fault-tolerant wireless sensor networks using evolutionary games. [Internet] [Doctoral dissertation]. University of New Mexico; 2012. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/22075.

Council of Science Editors:

Villalon R. Fault-tolerant wireless sensor networks using evolutionary games. [Doctoral Dissertation]. University of New Mexico; 2012. Available from: http://hdl.handle.net/1928/22075


University of New Mexico

8. Levin, Drew. The Environment Constrains Successful Search Strategies in Natural Distributed Systems.

Degree: Department of Computer Science, 2016, University of New Mexico

 This dissertation investigates two natural systems that use distributed search algorithms and tests the hypothesis that the searchers' environment is a key constraint on an… (more)

Subjects/Keywords: Distributed Systems; Distributed Search; Computational Biology; Theoretical Biology; Immunology; Virology; Myrmecology

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APA (6th Edition):

Levin, D. (2016). The Environment Constrains Successful Search Strategies in Natural Distributed Systems. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/32313

Chicago Manual of Style (16th Edition):

Levin, Drew. “The Environment Constrains Successful Search Strategies in Natural Distributed Systems.” 2016. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/32313.

MLA Handbook (7th Edition):

Levin, Drew. “The Environment Constrains Successful Search Strategies in Natural Distributed Systems.” 2016. Web. 01 Mar 2021.

Vancouver:

Levin D. The Environment Constrains Successful Search Strategies in Natural Distributed Systems. [Internet] [Doctoral dissertation]. University of New Mexico; 2016. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/32313.

Council of Science Editors:

Levin D. The Environment Constrains Successful Search Strategies in Natural Distributed Systems. [Doctoral Dissertation]. University of New Mexico; 2016. Available from: http://hdl.handle.net/1928/32313


University of New Mexico

9. Flynn, Mark. Improving peer review with ACORN : Ant Colony Optimization algorithm for Reviewer's Network.

Degree: Department of Computer Science, 2011, University of New Mexico

 Peer review, our current system for determining which papers to accept and which to reject by journals and conferences, has limitations that impair the quality… (more)

Subjects/Keywords: Ant Colony Optimization; Peer review

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APA (6th Edition):

Flynn, M. (2011). Improving peer review with ACORN : Ant Colony Optimization algorithm for Reviewer's Network. (Masters Thesis). University of New Mexico. Retrieved from http://hdl.handle.net/1928/13085

Chicago Manual of Style (16th Edition):

Flynn, Mark. “Improving peer review with ACORN : Ant Colony Optimization algorithm for Reviewer's Network.” 2011. Masters Thesis, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/13085.

MLA Handbook (7th Edition):

Flynn, Mark. “Improving peer review with ACORN : Ant Colony Optimization algorithm for Reviewer's Network.” 2011. Web. 01 Mar 2021.

Vancouver:

Flynn M. Improving peer review with ACORN : Ant Colony Optimization algorithm for Reviewer's Network. [Internet] [Masters thesis]. University of New Mexico; 2011. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/13085.

Council of Science Editors:

Flynn M. Improving peer review with ACORN : Ant Colony Optimization algorithm for Reviewer's Network. [Masters Thesis]. University of New Mexico; 2011. Available from: http://hdl.handle.net/1928/13085


University of New Mexico

10. Stolleis, Karl. The Ant and the Trap: Evolution of Ant-Inspired Obstacle Avoidance in a Multi-Agent Robotic System.

Degree: Department of Computer Science, 2015, University of New Mexico

 Interest in swarm robotics, particularly those modeled on biological systems, has been increasing with each passing year. We created the iAnt robot as a platform… (more)

Subjects/Keywords: robot; swarm robotics; ant; genetic algorithm; foraging; obstacle avoidance; biologically inspired; in situ resource utilization; evolution; robot behavior

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APA (6th Edition):

Stolleis, K. (2015). The Ant and the Trap: Evolution of Ant-Inspired Obstacle Avoidance in a Multi-Agent Robotic System. (Masters Thesis). University of New Mexico. Retrieved from http://hdl.handle.net/1928/27969

Chicago Manual of Style (16th Edition):

Stolleis, Karl. “The Ant and the Trap: Evolution of Ant-Inspired Obstacle Avoidance in a Multi-Agent Robotic System.” 2015. Masters Thesis, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/27969.

MLA Handbook (7th Edition):

Stolleis, Karl. “The Ant and the Trap: Evolution of Ant-Inspired Obstacle Avoidance in a Multi-Agent Robotic System.” 2015. Web. 01 Mar 2021.

Vancouver:

Stolleis K. The Ant and the Trap: Evolution of Ant-Inspired Obstacle Avoidance in a Multi-Agent Robotic System. [Internet] [Masters thesis]. University of New Mexico; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/27969.

Council of Science Editors:

Stolleis K. The Ant and the Trap: Evolution of Ant-Inspired Obstacle Avoidance in a Multi-Agent Robotic System. [Masters Thesis]. University of New Mexico; 2015. Available from: http://hdl.handle.net/1928/27969


University of New Mexico

11. Flanagan, Tatiana. How ants turn information into food.

Degree: UNM Biology Department, 2015, University of New Mexico

 Animals constantly process information from their environment. In social organisms, information exchange among individuals allows for behaviors to be finely tuned to local environmental cues.… (more)

Subjects/Keywords: ant foraging; information; colony size

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APA (6th Edition):

Flanagan, T. (2015). How ants turn information into food. (Doctoral Dissertation). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/biol_etds/37

Chicago Manual of Style (16th Edition):

Flanagan, Tatiana. “How ants turn information into food.” 2015. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. https://digitalrepository.unm.edu/biol_etds/37.

MLA Handbook (7th Edition):

Flanagan, Tatiana. “How ants turn information into food.” 2015. Web. 01 Mar 2021.

Vancouver:

Flanagan T. How ants turn information into food. [Internet] [Doctoral dissertation]. University of New Mexico; 2015. [cited 2021 Mar 01]. Available from: https://digitalrepository.unm.edu/biol_etds/37.

Council of Science Editors:

Flanagan T. How ants turn information into food. [Doctoral Dissertation]. University of New Mexico; 2015. Available from: https://digitalrepository.unm.edu/biol_etds/37


University of New Mexico

12. Bezzo, Nicola. Coordination strategies for connected robotic networks.

Degree: Electrical and Computer Engineering, 2013, University of New Mexico

 In this dissertation we present theoretical techniques to coordinate multi-robotic systems in cluttered environment considering sensing, manipulation, and communication constraints. We address communication constraints in… (more)

Subjects/Keywords: Robots – Control systems.; Multiagent systems.; Swarm intelligence.; Bit error rate.; Local area networks (Computer networks); Local area networks (Computer networks); Heterogeneous computing.

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APA (6th Edition):

Bezzo, N. (2013). Coordination strategies for connected robotic networks. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/22030

Chicago Manual of Style (16th Edition):

Bezzo, Nicola. “Coordination strategies for connected robotic networks.” 2013. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/22030.

MLA Handbook (7th Edition):

Bezzo, Nicola. “Coordination strategies for connected robotic networks.” 2013. Web. 01 Mar 2021.

Vancouver:

Bezzo N. Coordination strategies for connected robotic networks. [Internet] [Doctoral dissertation]. University of New Mexico; 2013. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/22030.

Council of Science Editors:

Bezzo N. Coordination strategies for connected robotic networks. [Doctoral Dissertation]. University of New Mexico; 2013. Available from: http://hdl.handle.net/1928/22030


University of New Mexico

13. Ericksen, John. Transfuse: A Compile-Time Metaprogramming Solution for Reducing Boilerplate on Google's Android.

Degree: Department of Computer Science, 2016, University of New Mexico

 Modern Java application development makes use of metaprogramming to offset and reduce application boilerplate. Unfortunately, metaprogramming techniques typically require a relatively high run-time cost, particularly… (more)

Subjects/Keywords: Dependency Injection; Android; Compile time; Annotation Processing; Metaprogramming; Boilerplate

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APA (6th Edition):

Ericksen, J. (2016). Transfuse: A Compile-Time Metaprogramming Solution for Reducing Boilerplate on Google's Android. (Masters Thesis). University of New Mexico. Retrieved from http://hdl.handle.net/1928/32945

Chicago Manual of Style (16th Edition):

Ericksen, John. “Transfuse: A Compile-Time Metaprogramming Solution for Reducing Boilerplate on Google's Android.” 2016. Masters Thesis, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/32945.

MLA Handbook (7th Edition):

Ericksen, John. “Transfuse: A Compile-Time Metaprogramming Solution for Reducing Boilerplate on Google's Android.” 2016. Web. 01 Mar 2021.

Vancouver:

Ericksen J. Transfuse: A Compile-Time Metaprogramming Solution for Reducing Boilerplate on Google's Android. [Internet] [Masters thesis]. University of New Mexico; 2016. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/32945.

Council of Science Editors:

Ericksen J. Transfuse: A Compile-Time Metaprogramming Solution for Reducing Boilerplate on Google's Android. [Masters Thesis]. University of New Mexico; 2016. Available from: http://hdl.handle.net/1928/32945


University of New Mexico

14. Schulte, Eric. Neutral Networks of Real-World Programs and their Application to Automated Software Evolution.

Degree: Department of Computer Science, 2014, University of New Mexico

 The existing software development ecosystem is the product of evolutionary forces, and consequently real-world software is amenable to improvement through automated evolutionary techniques. This dissertation… (more)

Subjects/Keywords: software engineering; search based software engineering; software mutational robustness; mutational robustness; evolutionary computation; genetic algorithm; genetic programming; optimization; automated program repair; automated software engineering; bug repair; fitness landscape; instruction set architecture; neutral network

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APA (6th Edition):

Schulte, E. (2014). Neutral Networks of Real-World Programs and their Application to Automated Software Evolution. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/25819

Chicago Manual of Style (16th Edition):

Schulte, Eric. “Neutral Networks of Real-World Programs and their Application to Automated Software Evolution.” 2014. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/25819.

MLA Handbook (7th Edition):

Schulte, Eric. “Neutral Networks of Real-World Programs and their Application to Automated Software Evolution.” 2014. Web. 01 Mar 2021.

Vancouver:

Schulte E. Neutral Networks of Real-World Programs and their Application to Automated Software Evolution. [Internet] [Doctoral dissertation]. University of New Mexico; 2014. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/25819.

Council of Science Editors:

Schulte E. Neutral Networks of Real-World Programs and their Application to Automated Software Evolution. [Doctoral Dissertation]. University of New Mexico; 2014. Available from: http://hdl.handle.net/1928/25819


University of New Mexico

15. Chang, Michael. Scaling of crop diversity and optimal allocation of foodshed infrastructure.

Degree: UNM Biology Department, 2013, University of New Mexico

  Food hubs are organizations that manage the aggregation and distribution of local products, and are a small, but growing means to satisfy high demand… (more)

Subjects/Keywords: Food; Agriculture; Sustainability; Diversity; Entropy; Cropland Data Layer; Hierarchy; Agrobiodiversity – Economic aspects.; Sustainable agriculture – Planning.; Farms; Small – Management.; Food supply – Social aspects.; Farmers' markets – Planning.; Local foods.; Biology

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APA (6th Edition):

Chang, M. (2013). Scaling of crop diversity and optimal allocation of foodshed infrastructure. (Masters Thesis). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/biol_etds/14

Chicago Manual of Style (16th Edition):

Chang, Michael. “Scaling of crop diversity and optimal allocation of foodshed infrastructure.” 2013. Masters Thesis, University of New Mexico. Accessed March 01, 2021. https://digitalrepository.unm.edu/biol_etds/14.

MLA Handbook (7th Edition):

Chang, Michael. “Scaling of crop diversity and optimal allocation of foodshed infrastructure.” 2013. Web. 01 Mar 2021.

Vancouver:

Chang M. Scaling of crop diversity and optimal allocation of foodshed infrastructure. [Internet] [Masters thesis]. University of New Mexico; 2013. [cited 2021 Mar 01]. Available from: https://digitalrepository.unm.edu/biol_etds/14.

Council of Science Editors:

Chang M. Scaling of crop diversity and optimal allocation of foodshed infrastructure. [Masters Thesis]. University of New Mexico; 2013. Available from: https://digitalrepository.unm.edu/biol_etds/14


University of New Mexico

16. Letendre, Kenneth. Variation and organization in social behavior : infectious disease and human intergroup conflict and warfare; and the organization of foraging behavior in harvester ants.

Degree: UNM Biology Department, 2012, University of New Mexico

 Social behavior is an important contributor to the success of widely distributed animal taxa, including such distantly related taxa as humans and ants. There is… (more)

Subjects/Keywords: human warfare; competition; inter-group violence; political values; evolution; behavior; infectious disease; harvester ants; foraging ecology; agent-based modeling

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APA (6th Edition):

Letendre, K. (2012). Variation and organization in social behavior : infectious disease and human intergroup conflict and warfare; and the organization of foraging behavior in harvester ants. (Doctoral Dissertation). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/biol_etds/70

Chicago Manual of Style (16th Edition):

Letendre, Kenneth. “Variation and organization in social behavior : infectious disease and human intergroup conflict and warfare; and the organization of foraging behavior in harvester ants.” 2012. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. https://digitalrepository.unm.edu/biol_etds/70.

MLA Handbook (7th Edition):

Letendre, Kenneth. “Variation and organization in social behavior : infectious disease and human intergroup conflict and warfare; and the organization of foraging behavior in harvester ants.” 2012. Web. 01 Mar 2021.

Vancouver:

Letendre K. Variation and organization in social behavior : infectious disease and human intergroup conflict and warfare; and the organization of foraging behavior in harvester ants. [Internet] [Doctoral dissertation]. University of New Mexico; 2012. [cited 2021 Mar 01]. Available from: https://digitalrepository.unm.edu/biol_etds/70.

Council of Science Editors:

Letendre K. Variation and organization in social behavior : infectious disease and human intergroup conflict and warfare; and the organization of foraging behavior in harvester ants. [Doctoral Dissertation]. University of New Mexico; 2012. Available from: https://digitalrepository.unm.edu/biol_etds/70


University of New Mexico

17. Wenyun, Zuo. From growth to extinction : explored by life history and metabolic theory.

Degree: UNM Biology Department, 2011, University of New Mexico

 The laws of energy and material conservation are fundamental principles across various scales and systems. Based on the conservation laws, I derive several theoretical models… (more)

Subjects/Keywords: energy budget; endotherm; ectotherm; late Pleistocene; the effect of temperature

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APA (6th Edition):

Wenyun, Z. (2011). From growth to extinction : explored by life history and metabolic theory. (Doctoral Dissertation). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/biol_etds/111

Chicago Manual of Style (16th Edition):

Wenyun, Zuo. “From growth to extinction : explored by life history and metabolic theory.” 2011. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. https://digitalrepository.unm.edu/biol_etds/111.

MLA Handbook (7th Edition):

Wenyun, Zuo. “From growth to extinction : explored by life history and metabolic theory.” 2011. Web. 01 Mar 2021.

Vancouver:

Wenyun Z. From growth to extinction : explored by life history and metabolic theory. [Internet] [Doctoral dissertation]. University of New Mexico; 2011. [cited 2021 Mar 01]. Available from: https://digitalrepository.unm.edu/biol_etds/111.

Council of Science Editors:

Wenyun Z. From growth to extinction : explored by life history and metabolic theory. [Doctoral Dissertation]. University of New Mexico; 2011. Available from: https://digitalrepository.unm.edu/biol_etds/111


University of New Mexico

18. Kanigel Winner, Kimberly Rene. Multi-scale models of ovarian cancer.

Degree: UNM Biology Department, 2015, University of New Mexico

  In ovarian cancer, disease and treatment can be examined across multiple spatial scales including molecules, cells, intra-tumor vasculature, and body-scale dynamics of circulating drugs.… (more)

Subjects/Keywords: multi-scale; cellular Potts; ovarian cancer; ErbB2; drug delivery; vascularization; tumor modeling; Biology

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APA (6th Edition):

Kanigel Winner, K. R. (2015). Multi-scale models of ovarian cancer. (Doctoral Dissertation). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/biol_etds/58

Chicago Manual of Style (16th Edition):

Kanigel Winner, Kimberly Rene. “Multi-scale models of ovarian cancer.” 2015. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. https://digitalrepository.unm.edu/biol_etds/58.

MLA Handbook (7th Edition):

Kanigel Winner, Kimberly Rene. “Multi-scale models of ovarian cancer.” 2015. Web. 01 Mar 2021.

Vancouver:

Kanigel Winner KR. Multi-scale models of ovarian cancer. [Internet] [Doctoral dissertation]. University of New Mexico; 2015. [cited 2021 Mar 01]. Available from: https://digitalrepository.unm.edu/biol_etds/58.

Council of Science Editors:

Kanigel Winner KR. Multi-scale models of ovarian cancer. [Doctoral Dissertation]. University of New Mexico; 2015. Available from: https://digitalrepository.unm.edu/biol_etds/58


University of New Mexico

19. Malone, Nick D. High-Dimensional Motion Planning and Learning Under Uncertain Conditions.

Degree: Department of Computer Science, 2015, University of New Mexico

 Many existing path planning methods do not adequately account for uncertainty. Without uncertainty these existing techniques work well, but in real world environments they struggle… (more)

Subjects/Keywords: Path Planning; Uncertainty; Stochastic Reachability; Reinforcement Learning; Modeling Error

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APA (6th Edition):

Malone, N. D. (2015). High-Dimensional Motion Planning and Learning Under Uncertain Conditions. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/31730

Chicago Manual of Style (16th Edition):

Malone, Nick D. “High-Dimensional Motion Planning and Learning Under Uncertain Conditions.” 2015. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/31730.

MLA Handbook (7th Edition):

Malone, Nick D. “High-Dimensional Motion Planning and Learning Under Uncertain Conditions.” 2015. Web. 01 Mar 2021.

Vancouver:

Malone ND. High-Dimensional Motion Planning and Learning Under Uncertain Conditions. [Internet] [Doctoral dissertation]. University of New Mexico; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/31730.

Council of Science Editors:

Malone ND. High-Dimensional Motion Planning and Learning Under Uncertain Conditions. [Doctoral Dissertation]. University of New Mexico; 2015. Available from: http://hdl.handle.net/1928/31730


University of New Mexico

20. Banerjee, Soumya. Scaling in the immune system.

Degree: Department of Computer Science, 2013, University of New Mexico

 How different is the immune system in a human from that of a mouse? Do pathogens replicate at the same rate in different species? Answers… (more)

Subjects/Keywords: scaling; immune system; mathematical modeling; viral dynamics; lymph node scaling

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APA (6th Edition):

Banerjee, S. (2013). Scaling in the immune system. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/23083

Chicago Manual of Style (16th Edition):

Banerjee, Soumya. “Scaling in the immune system.” 2013. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/23083.

MLA Handbook (7th Edition):

Banerjee, Soumya. “Scaling in the immune system.” 2013. Web. 01 Mar 2021.

Vancouver:

Banerjee S. Scaling in the immune system. [Internet] [Doctoral dissertation]. University of New Mexico; 2013. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/23083.

Council of Science Editors:

Banerjee S. Scaling in the immune system. [Doctoral Dissertation]. University of New Mexico; 2013. Available from: http://hdl.handle.net/1928/23083


University of New Mexico

21. Hecker, Joshua Peter. Evolving Efficient Foraging Behavior in Biologically-Inspired Robot Swarms.

Degree: Department of Computer Science, 2015, University of New Mexico

 Human beings are driven to explore distant new worlds as we seek to better understand our place in the Universe. Because of the inherent dangers… (more)

Subjects/Keywords: Swarm robotics; Biologically-inspired computation; Central-place foraging; Genetic algorithms; Agent-based models

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APA (6th Edition):

Hecker, J. P. (2015). Evolving Efficient Foraging Behavior in Biologically-Inspired Robot Swarms. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/31723

Chicago Manual of Style (16th Edition):

Hecker, Joshua Peter. “Evolving Efficient Foraging Behavior in Biologically-Inspired Robot Swarms.” 2015. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/31723.

MLA Handbook (7th Edition):

Hecker, Joshua Peter. “Evolving Efficient Foraging Behavior in Biologically-Inspired Robot Swarms.” 2015. Web. 01 Mar 2021.

Vancouver:

Hecker JP. Evolving Efficient Foraging Behavior in Biologically-Inspired Robot Swarms. [Internet] [Doctoral dissertation]. University of New Mexico; 2015. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/31723.

Council of Science Editors:

Hecker JP. Evolving Efficient Foraging Behavior in Biologically-Inspired Robot Swarms. [Doctoral Dissertation]. University of New Mexico; 2015. Available from: http://hdl.handle.net/1928/31723


University of New Mexico

22. Faust, Aleksandra. Reinforcement Learning and Planning for Preference Balancing Tasks.

Degree: Department of Computer Science, 2014, University of New Mexico

 Robots are often highly non-linear dynamical systems with many degrees of freedom, making solving motion problems computationally challenging. One solution has been reinforcement learning (RL),… (more)

Subjects/Keywords: Reinforcement learning; Motion planning; Robotics; Artificial Intelligence; Unmanned Aerial Vehcile; Systems control

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APA (6th Edition):

Faust, A. (2014). Reinforcement Learning and Planning for Preference Balancing Tasks. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/24551

Chicago Manual of Style (16th Edition):

Faust, Aleksandra. “Reinforcement Learning and Planning for Preference Balancing Tasks.” 2014. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/24551.

MLA Handbook (7th Edition):

Faust, Aleksandra. “Reinforcement Learning and Planning for Preference Balancing Tasks.” 2014. Web. 01 Mar 2021.

Vancouver:

Faust A. Reinforcement Learning and Planning for Preference Balancing Tasks. [Internet] [Doctoral dissertation]. University of New Mexico; 2014. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/24551.

Council of Science Editors:

Faust A. Reinforcement Learning and Planning for Preference Balancing Tasks. [Doctoral Dissertation]. University of New Mexico; 2014. Available from: http://hdl.handle.net/1928/24551


University of New Mexico

23. Gunning, Christian E. Population and Metapopulation Ecology of Childhood Diseases.

Degree: UNM Biology Department, 2014, University of New Mexico

 Researchers have long used mathematical models and empirical data to explore the population ecology of childhood diseases such as measles and whooping cough. These diseases… (more)

Subjects/Keywords: population ecology; persistence; extinction; measles; pertussis; dynamical systems; stochastic; metapopulation; disease

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APA (6th Edition):

Gunning, C. E. (2014). Population and Metapopulation Ecology of Childhood Diseases. (Doctoral Dissertation). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/biol_etds/46

Chicago Manual of Style (16th Edition):

Gunning, Christian E. “Population and Metapopulation Ecology of Childhood Diseases.” 2014. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. https://digitalrepository.unm.edu/biol_etds/46.

MLA Handbook (7th Edition):

Gunning, Christian E. “Population and Metapopulation Ecology of Childhood Diseases.” 2014. Web. 01 Mar 2021.

Vancouver:

Gunning CE. Population and Metapopulation Ecology of Childhood Diseases. [Internet] [Doctoral dissertation]. University of New Mexico; 2014. [cited 2021 Mar 01]. Available from: https://digitalrepository.unm.edu/biol_etds/46.

Council of Science Editors:

Gunning CE. Population and Metapopulation Ecology of Childhood Diseases. [Doctoral Dissertation]. University of New Mexico; 2014. Available from: https://digitalrepository.unm.edu/biol_etds/46

24. Semenov, Oleg. Abstract Models of Molecular Walkers.

Degree: Department of Computer Science, 2013, University of New Mexico

 Recent advances in single-molecule chemistry have led to designs for artificial multi-pedal walkers that follow tracks of chemicals. The walkers, called molecular spiders, consist of… (more)

Subjects/Keywords: Molecular Motors; Simulation; Kinetic Monte Carlo

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APA (6th Edition):

Semenov, O. (2013). Abstract Models of Molecular Walkers. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/23579

Chicago Manual of Style (16th Edition):

Semenov, Oleg. “Abstract Models of Molecular Walkers.” 2013. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/23579.

MLA Handbook (7th Edition):

Semenov, Oleg. “Abstract Models of Molecular Walkers.” 2013. Web. 01 Mar 2021.

Vancouver:

Semenov O. Abstract Models of Molecular Walkers. [Internet] [Doctoral dissertation]. University of New Mexico; 2013. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/23579.

Council of Science Editors:

Semenov O. Abstract Models of Molecular Walkers. [Doctoral Dissertation]. University of New Mexico; 2013. Available from: http://hdl.handle.net/1928/23579


University of New Mexico

25. Scholle, Stacy O'Neil. Temporal dynamics and spatial analysis of competing dengue 2 virus strains in the Americas.

Degree: UNM Biology Department, 2010, University of New Mexico

  The dengue virus is the causative agent of an important re-emerging infectious disease that has become increasingly significant in tropical America and the Caribbean… (more)

Subjects/Keywords: Dengue; Biology; Biology

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APA (6th Edition):

Scholle, S. O. (2010). Temporal dynamics and spatial analysis of competing dengue 2 virus strains in the Americas. (Masters Thesis). University of New Mexico. Retrieved from https://digitalrepository.unm.edu/biol_etds/90

Chicago Manual of Style (16th Edition):

Scholle, Stacy O'Neil. “Temporal dynamics and spatial analysis of competing dengue 2 virus strains in the Americas.” 2010. Masters Thesis, University of New Mexico. Accessed March 01, 2021. https://digitalrepository.unm.edu/biol_etds/90.

MLA Handbook (7th Edition):

Scholle, Stacy O'Neil. “Temporal dynamics and spatial analysis of competing dengue 2 virus strains in the Americas.” 2010. Web. 01 Mar 2021.

Vancouver:

Scholle SO. Temporal dynamics and spatial analysis of competing dengue 2 virus strains in the Americas. [Internet] [Masters thesis]. University of New Mexico; 2010. [cited 2021 Mar 01]. Available from: https://digitalrepository.unm.edu/biol_etds/90.

Council of Science Editors:

Scholle SO. Temporal dynamics and spatial analysis of competing dengue 2 virus strains in the Americas. [Masters Thesis]. University of New Mexico; 2010. Available from: https://digitalrepository.unm.edu/biol_etds/90


University of New Mexico

26. Letendre, Kenneth. Simulating the evolution of recruitment behavior in foraging Ants.

Degree: Department of Computer Science, 2010, University of New Mexico

 Spatial heterogeneity in the distribution of food is an important determinant of species' optimal foraging strategies, and of the dynamics of populations and communities. In… (more)

Subjects/Keywords: Ants; Distributed-Problem Solving; Foraging; Genetic Algorithm; Optimization; Recruitment

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APA (6th Edition):

Letendre, K. (2010). Simulating the evolution of recruitment behavior in foraging Ants. (Masters Thesis). University of New Mexico. Retrieved from http://hdl.handle.net/1928/12049

Chicago Manual of Style (16th Edition):

Letendre, Kenneth. “Simulating the evolution of recruitment behavior in foraging Ants.” 2010. Masters Thesis, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/12049.

MLA Handbook (7th Edition):

Letendre, Kenneth. “Simulating the evolution of recruitment behavior in foraging Ants.” 2010. Web. 01 Mar 2021.

Vancouver:

Letendre K. Simulating the evolution of recruitment behavior in foraging Ants. [Internet] [Masters thesis]. University of New Mexico; 2010. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/12049.

Council of Science Editors:

Letendre K. Simulating the evolution of recruitment behavior in foraging Ants. [Masters Thesis]. University of New Mexico; 2010. Available from: http://hdl.handle.net/1928/12049


University of New Mexico

27. Roy, Sushmita. Learning condition-specific networks.

Degree: Department of Computer Science, 2009, University of New Mexico

 Condition-specific cellular networks are networks of genes and proteins that describe functional interactions among genes occurring under different environmental conditions. These networks provide a systems-level… (more)

Subjects/Keywords: Machine learning; Computational Biology; Probabilistic graphical models; Gene expression; Condition-specific response

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APA (6th Edition):

Roy, S. (2009). Learning condition-specific networks. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/10331

Chicago Manual of Style (16th Edition):

Roy, Sushmita. “Learning condition-specific networks.” 2009. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/10331.

MLA Handbook (7th Edition):

Roy, Sushmita. “Learning condition-specific networks.” 2009. Web. 01 Mar 2021.

Vancouver:

Roy S. Learning condition-specific networks. [Internet] [Doctoral dissertation]. University of New Mexico; 2009. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/10331.

Council of Science Editors:

Roy S. Learning condition-specific networks. [Doctoral Dissertation]. University of New Mexico; 2009. Available from: http://hdl.handle.net/1928/10331


University of New Mexico

28. Greene, Kshanti. Collective belief models for representing consensus and divergence in communities of Bayesian decision-makers.

Degree: Department of Computer Science, 2010, University of New Mexico

 Bayesian belief aggregation is the process of forming a consensus model from the probabilistic beliefs of multiple individuals. Preference aggregation attempts to find an optimal… (more)

Subjects/Keywords: Decision-making; Bayesian reasoning; Social choice theory; Probabilistic reasoning; Bayesian belief aggregation; game theory; diversity; artificial intelligence; social decision-making

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APA (6th Edition):

Greene, K. (2010). Collective belief models for representing consensus and divergence in communities of Bayesian decision-makers. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/10878

Chicago Manual of Style (16th Edition):

Greene, Kshanti. “Collective belief models for representing consensus and divergence in communities of Bayesian decision-makers.” 2010. Doctoral Dissertation, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/10878.

MLA Handbook (7th Edition):

Greene, Kshanti. “Collective belief models for representing consensus and divergence in communities of Bayesian decision-makers.” 2010. Web. 01 Mar 2021.

Vancouver:

Greene K. Collective belief models for representing consensus and divergence in communities of Bayesian decision-makers. [Internet] [Doctoral dissertation]. University of New Mexico; 2010. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/10878.

Council of Science Editors:

Greene K. Collective belief models for representing consensus and divergence in communities of Bayesian decision-makers. [Doctoral Dissertation]. University of New Mexico; 2010. Available from: http://hdl.handle.net/1928/10878


University of New Mexico

29. Arora, Tamanna. Using ant colony optimization for routing in microprocesors.

Degree: Department of Computer Science, 2009, University of New Mexico

 Power consumption is an important constraint on VLSI systems. With the advancement in technology, it is now possible to pack a large range of functionalities… (more)

Subjects/Keywords: VLSI; Routing; ACO

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APA (6th Edition):

Arora, T. (2009). Using ant colony optimization for routing in microprocesors. (Masters Thesis). University of New Mexico. Retrieved from http://hdl.handle.net/1928/10258

Chicago Manual of Style (16th Edition):

Arora, Tamanna. “Using ant colony optimization for routing in microprocesors.” 2009. Masters Thesis, University of New Mexico. Accessed March 01, 2021. http://hdl.handle.net/1928/10258.

MLA Handbook (7th Edition):

Arora, Tamanna. “Using ant colony optimization for routing in microprocesors.” 2009. Web. 01 Mar 2021.

Vancouver:

Arora T. Using ant colony optimization for routing in microprocesors. [Internet] [Masters thesis]. University of New Mexico; 2009. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1928/10258.

Council of Science Editors:

Arora T. Using ant colony optimization for routing in microprocesors. [Masters Thesis]. University of New Mexico; 2009. Available from: http://hdl.handle.net/1928/10258

.