Literatura académica sobre el tema "Ant"

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Artículos de revistas sobre el tema "Ant"

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Beischer, Thomas G. "Ant Farm 1968-1978 Ant Farm." Journal of the Society of Architectural Historians 64, no. 3 (2005): 367–69. http://dx.doi.org/10.2307/25068171.

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Popp, Michael P., Reinhard Grisshammer, Paul A. Hargrave, and W. Clay Smith. "Ant opsins: Sequences from the Saharan silver ant and the carpenter ant." Invertebrate Neuroscience 1, no. 4 (1996): 323–29. http://dx.doi.org/10.1007/bf02211912.

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Milius, Susan. "Ant Enforcers." Science News 162, no. 10 (2002): 147. http://dx.doi.org/10.2307/4013760.

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Saco, Santiago. "ANT Presentación." El Antoniano 135, no. 1 (2022): 1–2. http://dx.doi.org/10.51343/anto.v135i1.855.

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en Wuhan, China, denominado inicialmente como el Virus de Wuhan, el cual es n noviembre del 2019, se anunció el descubrimiento de un nuevo virus detectado
 producido por un coronavirus, llamado así por tener picos o espigas en forma de corona. 
 Luego la Organización Mundial de la Salud presento la alarma y el 11 de marzo del 2020 lo reconoció como una pandemia producida por el SARS-CoV-2, recomendando una serie de medidas de prevención para evitar su difusión.
 En muy poco tiempo el virus se fue difundiendo a todos los continentes: Asia, Oceanía, Europa, y América, en marzo del
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Johnson, Christine A., and Joan M. Herbers. "ANT PARASITISM." Bulletin of the Ecological Society of America 87, no. 1 (2006): 19. http://dx.doi.org/10.1890/0012-9623(2006)87[19:ap]2.0.co;2.

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Nanda, Bijaya Kumar, and Satchidananda Dehuri. "Ant Miner." International Journal of Applied Evolutionary Computation 11, no. 2 (2020): 47–64. http://dx.doi.org/10.4018/ijaec.2020040104.

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Discovering classification rules from large data is an important task of data mining and is gaining considerable attention. This article presents a novel ant miner for classification rule mining. Our ant miner is inspired by research on the behavior of real ant colonies, simulated annealing, and some data mining concepts as well as principles. Here we present a Michigan style approach for single objective classification rule mining. The algorithm is tested on a few benchmark datasets drawn from UCI repository. Our experimental outcomes confirm that ant miner-HMC (Hybrid Michigan Style Classifi
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Nanda, Bijaya Kumar, and Satchidananda Dehuri. "Ant Miner." International Journal of Artificial Intelligence and Machine Learning 10, no. 1 (2020): 45–59. http://dx.doi.org/10.4018/ijaiml.2020010104.

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In data mining the task of extracting classification rules from large data is an important task and is gaining considerable attention. This article presents a novel ant miner for classification rule mining. The ant miner is inspired by researches on the behaviour of real ant colonies, simulated annealing, and some data mining concepts as well as principles. This paper presents a Pittsburgh style approach for single objective classification rule mining. The algorithm is tested on a few benchmark datasets drawn from UCI repository. The experimental outcomes confirm that ant miner-HPB (Hybrid Pit
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Mirsky, Steve. "Ant Thesis." Scientific American 289, no. 1 (2003): 27. http://dx.doi.org/10.1038/scientificamerican0703-27c.

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Hoffman, Donald R. "Ant venoms." Current Opinion in Allergy and Clinical Immunology 10, no. 4 (2010): 342–46. http://dx.doi.org/10.1097/aci.0b013e328339f325.

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Fessenden, Marissa. "Ant Invasion!" Scientific American 308, no. 5 (2013): 20. http://dx.doi.org/10.1038/scientificamerican0513-20.

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Tesis sobre el tema "Ant"

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Clough, Elizabeth Anne, and n/a. "Factors Influencing Ant Assemblages and Ant Community Composition in a Sub-Tropical Suburban Environment." Griffith University. School of Environmental and Applied Science, 2004. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20040719.141317.

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The main objective of this study was to examine the abundance and diversity of ants in suburban sites following vegetation removal or modification for development. This research examines the capacity of suburban sites to support ant diversity, which is dependent on the site characteristics and their surrounding environment. The study focused on 29 suburban garden and 3 suburban reserve sites on the Gold Coast, Queensland, Australia. This region, through continuing land development, undergoes ongoing habitat disturbance and modification. Ground-dwelling ants were collected by pitfall trapping
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Ali, Faiza, and Martin Schröder. "W.A.N.T : Weightlifting Ant." Thesis, KTH, Skolan för industriell teknik och management (ITM), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-264500.

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The purpose of this project is to create a light weight robotic version of an ant that can withstand great forces, trying to come close to the ant’s lifting technique as much as possible. This idea was chosen with inspiration from nature, especially from the obscure forces of an ant. These insects are proven to be able to lift and carry heavy loads, up to a thousand times their body weight. Various lifting technologies are used by several facilities today and therefore there is a need for improvements in this field. By trying to come close to an ant’s appearance and mimic certain ant movements
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Brown, Simon Geoffrey Archer, and simon brown@uwa edu au. "Preventing anaphylaxis to venom of the jack jumper ant (Myrmecia pilosula)." Flinders University. School of Medicine, 2003. http://catalogue.flinders.edu.au./local/adt/public/adt-SFU20050707.103356.

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Background: Myrmecia pilosula (the jack jumper ant, JJA) is the principal cause of ant venom anaphylaxis in Australia. Whereas honeybee and wasp venom allergy can be treated by venom immunotherapy (VIT), no such treatment is available for ant sting allergy. In addition, information on the natural history of JJA sting allergy is required to identify those most likely to benefit from immunotherapy. The main objectives of this research were to establish: (i) the prevalence, natural history and determinants of reaction severity for JJA allergy, and; (ii) the efficacy and tolerability of JJA VIT.
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Gu, Yuhua. "Ant clustering with consensus." [Tampa, Fla] : University of South Florida, 2009. http://purl.fcla.edu/usf/dc/et/SFE0002959.

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Clough, Elizabeth Anne. "Factors Influencing Ant Assemblages and Ant Community Composition in a Sub-Tropical Suburban Environment." Thesis, Griffith University, 2004. http://hdl.handle.net/10072/366528.

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The main objective of this study was to examine the abundance and diversity of ants in suburban sites following vegetation removal or modification for development. This research examines the capacity of suburban sites to support ant diversity, which is dependent on the site characteristics and their surrounding environment. The study focused on 29 suburban garden and 3 suburban reserve sites on the Gold Coast, Queensland, Australia. This region, through continuing land development, undergoes ongoing habitat disturbance and modification. Ground-dwelling ants were collected by pitfall trapping
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Feng, Yinda. "Ant colony for TSP." Thesis, Högskolan Dalarna, Datateknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:du-4824.

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The aim of this work is to investigate Ant Colony Algorithm for the traveling salesman problem (TSP). Ants of the artificial colony are able to generate successively shorter feasible tours by using information accumulated in the form of a pheromone trail deposited on the edges of the TSP graph. This paper is based on the ideas of ant colony algorithm and analysis the main parameters of the ant colony algorithm. Experimental results for solving TSP problems with ant colony algorithm show great effectiveness.
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Renfrew, David T. "TRAFFIC SIGNAL CONTROL WITH ANT COLONY OPTIMIZATION." DigitalCommons@CalPoly, 2009. https://digitalcommons.calpoly.edu/theses/190.

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Traffic signal control is an effective way to improve the efficiency of traffic networks and reduce users’ delays. Ant Colony Optimization (ACO) is a metaheuristic based on the behavior of ant colonies searching for food. ACO has successfully been used to solve many NP-hard combinatorial optimization problems and its stochastic and decentralized nature fits well with traffic flow networks. This thesis investigates the application of ACO to minimize user delay at traffic intersections. Computer simulation results show that this new approach outperforms conventional fully actuated control under
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Dostál, Marek. "Hledání nejkratší cesty pomocí mravenčích kolonií - Java implementace." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2014. http://www.nusl.cz/ntk/nusl-231155.

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This diploma thesis deals with ant colony optimization for shortest path problems. In the theoretical part it describes Ant Colony Optimization. In the practical part ant colony optimization algorithms are selected for the design and implementation of shortest path problems in the Java.
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Weeks, Jennifer Ashley. "Context dependent outcomes in a butterfly-ant mutualism: The role of ant nutrition and signaling." Diss., The University of Arizona, 2002. http://hdl.handle.net/10150/280223.

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Food-for-protection mutualisms, interactions between two species in which one species provides protection from aspects of the biotic environment in exchange for a nutritional reward, show an exceptional degree of context dependency. The occurrence, strength, and outcome of these interactions often depend on the ecological context in which they take place. However, the causes and consequences of such context-dependent variation remain poorly understood. The protection mutualism involving lycaenid butterflies and ants provides an opportunity to explore many aspects of the ecology and evolution o
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Laptik, Raimond. "Ant colony technologies for image processing." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2010. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2009~D_20100303_133726-51617.

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In this work ant colony technologies for image processing are analyzed. Modifications of Max-Min ant system for automatic image pre-processing are proposed. Image segmentation by multiple ant colonies technique based on pheromone competition is proposed. Modified ant system is implemented in FPGA and MicroBlaze core units influence on performance is analyzed.<br>Darbe nagrinėjamos skruzdžių kolonijų technologijos vaizdams apdoroti. Pasiūlomos max-min skruzdžių sistemos modifikacijos tinkamos automatizuoti pirminį vaizdų apdorojimą. Pristatoma vaizdų segmentavimo metodika grįsta skruzdžių kolon
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Libros sobre el tema "Ant"

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Chinery, Michael. Ant. Troll Associates, 1991.

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ill, Pritchard Clive, ed. Ant. Thomson Learning, 1995.

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Benedict, Kitty. Ant. Creative Education, 1993.

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Chinery, Michael. Ant. Troll Associates, 1991.

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Stefoff, Rebecca. Ant. Benchmark Books, 1998.

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1940-, Macro Chris, ed. Ant. Heinemann Library, 1998.

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ill, Watts Barrie, and Armstrong Nichola 1961 ill, eds. Ant. Troll Associates, 1991.

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Gray, Luli. Ant and grasshopper. Margaret K. McElderry Books, 2011.

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Gray, Luli. Ant and grasshopper. Margaret K. McElderry Books, 2011.

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Dorigo, Marco, Gianni Di Caro, and Michael Sampels, eds. Ant Algorithms. Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45724-0.

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Capítulos de libros sobre el tema "Ant"

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Tufo, Grégory, Lorenzo Galluzzi, Guido Kroemer, and Catherine Brenner. "ANT." In Encyclopedia of Signaling Molecules. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-67199-4_175.

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Tufo, Grégory, Lorenzo Galluzzi, Guido Kroemer, and Catherine Brenner. "ANT." In Encyclopedia of Signaling Molecules. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4614-6438-9_175-1.

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Biswas-Fiss, Esther E., Stephanie Affet, Malissa Ha, et al. "ANT." In Encyclopedia of Signaling Molecules. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4419-0461-4_175.

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Nepokupnyj, Anatolij. "“Rain” and “ant”." In Current Issues in Linguistic Theory. John Benjamins Publishing Company, 2004. http://dx.doi.org/10.1075/cilt.254.20rai.

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Brabazon, Anthony, Michael O’Neill, and Seán McGarraghy. "Ant Algorithms." In Natural Computing Algorithms. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-43631-8_9.

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Mani, M., and C. Shivaraju. "Ant Association." In Mealybugs and their Management in Agricultural and Horticultural crops. Springer India, 2016. http://dx.doi.org/10.1007/978-81-322-2677-2_15.

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Sudd, John H., and Nigel R. Franks. "Ant Economics." In The Behavioural Ecology of Ants. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3123-7_3.

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Sudd, John H., and Nigel R. Franks. "Ant Ecology." In The Behavioural Ecology of Ants. Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3123-7_8.

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Gooch, Jan W. "Ant Oil." In Encyclopedic Dictionary of Polymers. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4419-6247-8_730.

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Lev-Yadun, Simcha. "Ant Mimicry." In Defensive (anti-herbivory) Coloration in Land Plants. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-42096-7_58.

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Actas de conferencias sobre el tema "Ant"

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Abramov, Fedir, Vitaliy Serzhanov, Oleksandr Andreiev, Olga Andreieva, Volodymyr Tsyhyka, and Roman Meshko. "Heterogeneous Ant Algorithm." In 2024 IEEE 19th International Conference on Computer Science and Information Technologies (CSIT). IEEE, 2024. https://doi.org/10.1109/csit65290.2024.10982661.

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Wang, Biao, Dan-Ting Duan, Qiang Yang, et al. "Adaptive Ant Selection for Pheromone Update in Ant Colony Optimization." In 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2024. https://doi.org/10.1109/smc54092.2024.10831815.

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Crawford, Broderick, Carlos Castro, and Eric Monfroy. "An Ant-Based Solver for Subset Problems." In 2009 International Conference on Advances in Computing, Control, & Telecommunication Technologies (ACT 2009). IEEE, 2009. http://dx.doi.org/10.1109/act.2009.74.

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Khode, Sandeeo G., and Rajesh Bhatia. "Improving Retrieval Effectiveness Using Ant Colony Optimization." In 2009 International Conference on Advances in Computing, Control, & Telecommunication Technologies (ACT 2009). IEEE, 2009. http://dx.doi.org/10.1109/act.2009.187.

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Yan, Chenyang. "Ant-FOIL: Integrating Ant Colony System and FOIL." In 2015 7th International Conference on Intelligent Human-Machine Systems and Cybernetics (IHMSC). IEEE, 2015. http://dx.doi.org/10.1109/ihmsc.2015.20.

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Abkenar, Gholamhasan Sajedy, Mohammad Shokouhifar, and Abbas SajediAbkenar. "Intelligent Ant based Routing Algorithm (IARA) in Mobile Ad hoc networks." In 2011 IEEE 5th International Conference on Advanced Networks and Telecommunication Systems (ANTS). IEEE, 2011. http://dx.doi.org/10.1109/ants.2011.6163665.

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Jangra, Renu, and Ramesh Kait. "Analysis and comparison among Ant System; Ant Colony System and Max-Min Ant System with different parameters setting." In 2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT). IEEE, 2017. http://dx.doi.org/10.1109/ciact.2017.7977376.

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Beckmann, Thilo, Rolf Klein, David Kriesel, and Elmar Langetepe. "Ant-sweep." In the 27th annual ACM symposium. ACM Press, 2011. http://dx.doi.org/10.1145/1998196.1998240.

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Peterson, Gilbert L., Christopher B. Mayer, and Kevin Cousin. "WoLF Ant." In 2011 IEEE Congress on Evolutionary Computation (CEC). IEEE, 2011. http://dx.doi.org/10.1109/cec.2011.5949726.

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Ellard, Dan, Penelope Ellard, James Megquier, and J. Bradely Chen. "Ant architecture." In the 1998 workshop. ACM Press, 1998. http://dx.doi.org/10.1145/1275176.1275179.

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Informes sobre el tema "Ant"

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Dellinger, Theresa A., and Eric Day. Acrobat Ant. Virginia Cooperative Extension, 2021. http://dx.doi.org/10.21061/ento-405np.

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Vogt, James T. Asian needle ant. U.S. Department of Agriculture, Forest Service, Southern Research Station, 2021. http://dx.doi.org/10.2737/srs-su-143.

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Fitzpatrick, Stephen, and Cordell Green. E-Merge-ANT: A Toolkit to Create Run-Time Autonomous Negotiating Teams (ANT) Generators, Aggregators, and Synthesizers. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada425550.

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Graziano, Alejandro, Kyle Handley, and Nuno Limão. An Import(ant) Price of Brexit Uncertainty. National Bureau of Economic Research, 2023. http://dx.doi.org/10.3386/w31600.

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Walling, L., Y. Goren, and S. Kwiatkowski. ANT tuner retrofit for LEB cavity. Office of Scientific and Technical Information (OSTI), 1994. http://dx.doi.org/10.2172/10147986.

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Jones, Graham, Diane Fraser, Urvashi Lallu, and Sarah-Jayne Fenwick. Perceptions and Impacts: An Observational Pilot Study of the Effects of Argentine Ants on Honey Bees in New Zealand. Unitec ePress, 2016. http://dx.doi.org/10.34074/pibs.rs12016.

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The Argentine ant (Linepithema humile) is an invasive species first identified in New Zealand in 1990. It is an aggressive tramp species that can form very large ‘super colonies’ extending over vast areas and has been reported to rob honey and predate honey bees in hives. This pilot study sought to establish, from a circulated survey of beekeepers, which ant species were present in their hives and what awareness the beekeepers had of the potential impact of Argentine ants. In addition, a simple method of quantifying the effects of the Argentine ant on brood abundance was trialled in the field.
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Wike, L. Using Ant Communities For Rapid Assessment Of Terrestrial Ecosystem Health. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/890187.

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Rezaei-Hartmann, Nasim, and Rebecca Saive. A step-by-step guide to simulating an ant-like piezoelectric robot. University of Twente, 2023. http://dx.doi.org/10.3990/1.9789036556330.

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This tutorial is about building up a COMSOL model for a robot ant. In this model, we have a robot with a size of a few centimeters and which is based on piezoelectric ceramics. This robot has already been built by the University of Michigan and some COMSOL models only for the legs’ operation are already existing and are published. From what we know, the full ant robot had not been computationally simulated before. Here, we provide a tutorial on how to successfully achieve this task. Furthermore, we uploaded a video on YouTube to visualize the results: https://youtu.be/ePyD8TAQt3I
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Gano, K. A., D. W. Carlile, and L. E. Rogers. Harvester ant bioassay for assessing hazardous chemical waste sites. [Pogonomyrmex owhyeei]. Office of Scientific and Technical Information (OSTI), 1985. http://dx.doi.org/10.2172/5742755.

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Marugan, Singaravelan, and Bhuvaneswari Mariappan. Self Learning Ant Colony Optimization in Multipath Routing Ad Hoc Network. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, 2020. http://dx.doi.org/10.7546/crabs.2020.10.12.

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