Artículos de revistas sobre el tema "Biological Early Warning System"
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Kim, Sung-Yong, Ki-Yong Kwon y Won-Don Lee. "Biological Early Warning System for Toxicity Detection". Journal of the Korean Institute of Information and Communication Engineering 14, n.º 9 (30 de septiembre de 2010): 1979–86. http://dx.doi.org/10.6109/jkiice.2010.14.9.1979.
Texto completoYang, Haiqing. "Biological Early Warning System for Prawn Aquiculture". Procedia Environmental Sciences 10 (2011): 660–65. http://dx.doi.org/10.1016/j.proenv.2011.09.106.
Texto completoBalk, F., P. C. Okkerman, C. A. M. van Helmond, F. Noppert y I. van der Putte. "Biological Early Warning Systems for Surface Water and Industrial Effluents". Water Science and Technology 29, n.º 3 (1 de febrero de 1994): 211–13. http://dx.doi.org/10.2166/wst.1994.0104.
Texto completode Zwart, Dick, Kees J. M. Kramer y Henk A. Jenner. "Practical experiences with the biological early warning system “mosselmonitor”". Environmental Toxicology & Water Quality 10, n.º 4 (noviembre de 1995): 237–47. http://dx.doi.org/10.1002/tox.2530100403.
Texto completoLee, Jong-Chan y Won-Don Lee. "Biological Early Warning Systems using UChoo Algorithm". Journal of the Korean Institute of Information and Communication Engineering 16, n.º 1 (31 de enero de 2012): 33–40. http://dx.doi.org/10.6109/jkiice.2012.16.1.033.
Texto completoSluyts, Hilde, François Van Hoof, Anja Cornet y Jozef Paulussen. "A dynamic new alarm system for use in biological early warning systems". Environmental Toxicology and Chemistry 15, n.º 8 (agosto de 1996): 1317–23. http://dx.doi.org/10.1002/etc.5620150809.
Texto completoLeynen, M., T. Van den Berckt, J. M. Aerts, B. Castelein, D. Berckmans y F. Ollevier. "The use of Tubificidae in a biological early warning system". Environmental Pollution 105, n.º 1 (abril de 1999): 151–54. http://dx.doi.org/10.1016/s0269-7491(98)00144-4.
Texto completoGrekov, Aleksandr N., Aleksey A. Kabanov, Elena V. Vyshkvarkova y Valeriy V. Trusevich. "Anomaly Detection in Biological Early Warning Systems Using Unsupervised Machine Learning". Sensors 23, n.º 5 (1 de marzo de 2023): 2687. http://dx.doi.org/10.3390/s23052687.
Texto completoAmorim, João, Miguel Fernandes, Vitor Vasconcelos y Luis Oliva Teles. "Stress test of a biological early warning system with zebrafish (Danio rerio)". Ecotoxicology 26, n.º 1 (7 de octubre de 2016): 13–21. http://dx.doi.org/10.1007/s10646-016-1736-5.
Texto completoChen, Qiuwen, Jinfeng Ma, Zijian Wang y Guoxian Huang. "Biological early warning and emergency management support system for water pollution accident". Transactions of Tianjin University 18, n.º 3 (junio de 2012): 201–5. http://dx.doi.org/10.1007/s12209-012-1662-4.
Texto completoBott, Charles, INES D. S. HENRIQUES, RICHARD T. KELLY, JENNIFER L. DAUPHINAIS y NANCY G. LOVE. "WERF: Upset Early Warning Systems For Biological Wastewater Treatment". Proceedings of the Water Environment Federation 2002, n.º 7 (1 de enero de 2002): 786–816. http://dx.doi.org/10.2175/193864702785073163.
Texto completoForan, J. A. y T. M. Brosnan. "Early warning systems for hazardous biological agents in potable water." Environmental Health Perspectives 108, n.º 10 (octubre de 2000): 993–95. http://dx.doi.org/10.1289/ehp.00108993.
Texto completoDi Giacinto, Federica, Miriam Berti, Luigi Carbone, Riccardo Caprioli, Valentina Colaiuda, Annalina Lombardi, Barbara Tomassetti et al. "Biological Early Warning Systems: The Experience in the Gran Sasso-Sirente Aquifer". Water 13, n.º 11 (29 de mayo de 2021): 1529. http://dx.doi.org/10.3390/w13111529.
Texto completoHarris, Mallory J., Simon I. Hay y John M. Drake. "Early warning signals of malaria resurgence in Kericho, Kenya". Biology Letters 16, n.º 3 (marzo de 2020): 20190713. http://dx.doi.org/10.1098/rsbl.2019.0713.
Texto completoZhou, Lihong. "The Monitoring and Early Warning System of Water Biological Environment Based on Machine Vision". Mathematical Problems in Engineering 2022 (24 de junio de 2022): 1–7. http://dx.doi.org/10.1155/2022/8280706.
Texto completoZhang, Jianfei, Zhongpeng Wu y Chong An. "Research on the detection and early warning technology of harmful marine organisms in the water intake of nuclear power plant by 3D image sonar". E3S Web of Conferences 290 (2021): 03013. http://dx.doi.org/10.1051/e3sconf/202129003013.
Texto completoJarder, Samantha Louise N., Raniel Cris L. Macabare, Salvador G. Oleivar, Abraham Matthew S. Carandang, Patrick Shaun N. Ngo, Richard M. De Jesus, Lessandro Estelito O. Garciano y Andres Winston C. Oreta. "Multi-Hazard Early Warning System (MHEWS) Assessment Methodology for Schools". International Journal on Advanced Science, Engineering and Information Technology 11, n.º 3 (10 de junio de 2021): 937. http://dx.doi.org/10.18517/ijaseit.11.3.14535.
Texto completoDuchev, Z., O. Distl y E. Groeneveld. "Early warning system for loss of diversity in European livestock breeds". Archives Animal Breeding 49, n.º 6 (10 de octubre de 2006): 521–31. http://dx.doi.org/10.5194/aab-49-521-2006.
Texto completoTemmink, H., P. Vanrolleghem, A. Klapwijk y W. Verstraete. "Biological Early Warning Systems for Toxicity Based on Activated Sludge Respirometry". Water Science and Technology 28, n.º 11-12 (1 de diciembre de 1993): 415–25. http://dx.doi.org/10.2166/wst.1993.0681.
Texto completoHeine, W., I. Sekoulov, H. Burkhardt, L. Bergen y J. Behrendt. "Early warning-system for operation-failures in biological stages of WWTPs by on-line image analysis". Water Science and Technology 46, n.º 4-5 (1 de agosto de 2002): 117–24. http://dx.doi.org/10.2166/wst.2002.0566.
Texto completoNunes, António Júlio, Paulo Paixão, Jorge Proença y RicardoJ N. Bettencourt da Silva. "Early Warning of Suspected Doping from Biological Passport Based on Multivariate Trends". International Journal of Sports Medicine 41, n.º 01 (20 de noviembre de 2019): 44–53. http://dx.doi.org/10.1055/a-1019-7774.
Texto completoChmist, Joanna, Krzysztof Szoszkiewicz y Mateusz Hämmerling. "SELECTION OF THE MOST EFFECTIVE BIOLOGICAL EARLY WARNING SYSTEM, BASED ON AHP AND REMBRANDT ANALYSIS". Acta Scientiarum Polonorum Formatio Circumiectus 1 (2019): 95–102. http://dx.doi.org/10.15576/asp.fc/2018.17.1.95.
Texto completoBae, Mi-Jung y Young-Seuk Park. "Biological early warning system based on the responses of aquatic organisms to disturbances: A review". Science of The Total Environment 466-467 (enero de 2014): 635–49. http://dx.doi.org/10.1016/j.scitotenv.2013.07.075.
Texto completoSri Lestari, Veronika Nugraheni, Dwi Cahyono y Sri Susilowati. "Designing Early Warning System for The Impact of Industrial Development Waste by Using pH Control System". International Journal of Engineering & Technology 7, n.º 2.14 (15 de abril de 2018): 555. http://dx.doi.org/10.14419/ijet.v7i2.11581.
Texto completoLove, N. "Upset Early Warning Systems for Biological Treatment Processes: Source and effect relationships". Water Intelligence Online 4 (30 de diciembre de 2015): 9781780404455. http://dx.doi.org/10.2166/9781780404455.
Texto completoWang, Gang, Yuanyuan Li y Xiufen Zou. "Several Indicators of Critical Transitions for Complex Diseases Based on Stochastic Analysis". Computational and Mathematical Methods in Medicine 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/7560758.
Texto completoRiyansyah, Muhammad, Pratama Budi Wijayanto, Bambang Riyanto Trilaksono, Seno Adi Putra y Dina Shona Laila. "Real Time Bridge Dynamic Response: Bridge Condition Assessment and Early Warning System". International Journal on Advanced Science, Engineering and Information Technology 10, n.º 1 (28 de febrero de 2020): 325. http://dx.doi.org/10.18517/ijaseit.10.1.9463.
Texto completoSmith, G. E., D. L. Cooper, P. Loveridge, F. Chinemana, E. Gerard y N. Verlander. "A national syndromic surveillance system for England and Wales using calls to a telephone helpline". Eurosurveillance 11, n.º 12 (1 de diciembre de 2006): 9–10. http://dx.doi.org/10.2807/esm.11.12.00667-en.
Texto completoJeong, T. Y., J. Jeon y S. D. Kim. "Development and evaluation of new behavioral indexes for a biological early warning system using Daphnia magna". Drinking Water Engineering and Science 7, n.º 1 (14 de enero de 2014): 1–9. http://dx.doi.org/10.5194/dwes-7-1-2014.
Texto completoJeong, T. Y., J. H. Jeon y S. D. Kim. "Development and evaluation of new behavioral indexes for a biological early warning system using Daphnia magna". Drinking Water Engineering and Science Discussions 6, n.º 1 (5 de marzo de 2013): 39–58. http://dx.doi.org/10.5194/dwesd-6-39-2013.
Texto completoGiari, Luisa, Fabio Vincenzi, Elisa Anna Fano, Ivano Graldi, Fernando Gelli y Giuseppe Castaldelli. "Sensitivity to selected contaminants in a biological early warning system using Anodonta woodiana (Mollusca)". Water SA 43, n.º 2 (21 de abril de 2017): 200. http://dx.doi.org/10.4314/wsa.v43i2.04.
Texto completoJeong, Tae-Yong y Myrna J. Simpson. "Daphnia magna metabolic profiling as a promising water quality parameter for the biological early warning system". Water Research 166 (diciembre de 2019): 115033. http://dx.doi.org/10.1016/j.watres.2019.115033.
Texto completoHong, Seil, Il Choi, Byung Lim y Hyunook Kim. "A DO- and pH-Based Early Warning System of Nitrification Inhibition for Biological Nitrogen Removal Processes". Sensors 12, n.º 12 (26 de noviembre de 2012): 16334–52. http://dx.doi.org/10.3390/s121216334.
Texto completoStone, Wendy, Tobi M. Louw, Marthinus J. Booysen y Gideon M. Wolfaardt. "Canary in the coliform mine: Exploring the industrial application limits of a microbial respiration alarm system". PLOS ONE 16, n.º 3 (4 de marzo de 2021): e0247910. http://dx.doi.org/10.1371/journal.pone.0247910.
Texto completoTang, Qinhua, Xingxing Cen y Changqing Pan. "Explainable and efficient deep early warning system for cardiac arrest prediction from electronic health records". Mathematical Biosciences and Engineering 19, n.º 10 (2022): 9825–41. http://dx.doi.org/10.3934/mbe.2022457.
Texto completovan der Schalie, William H., Tommy R. Shedd, Paul L. Knechtges y Mark W. Widder. "Using higher organisms in biological early warning systems for real-time toxicity detection". Biosensors and Bioelectronics 16, n.º 7-8 (septiembre de 2001): 457–65. http://dx.doi.org/10.1016/s0956-5663(01)00160-9.
Texto completoBrown, Molly E., Stephen Mugo, Sebastian Petersen y Dominik Klauser. "Designing a Pest and Disease Outbreak Warning System for Farmers, Agronomists and Agricultural Input Distributors in East Africa". Insects 13, n.º 3 (26 de febrero de 2022): 232. http://dx.doi.org/10.3390/insects13030232.
Texto completoFernandes, Miguel, João Amorim, Vitor Vasconcelos y Luis Oliva Teles. "Resilience assessment of a biological early warning system based on the locomotor behavior of zebrafish (Danio rerio)". Environmental Science and Pollution Research 23, n.º 18 (20 de junio de 2016): 18858–68. http://dx.doi.org/10.1007/s11356-016-7085-3.
Texto completoBoettiger, Carl y Alan Hastings. "Early warning signals and the prosecutor's fallacy". Proceedings of the Royal Society B: Biological Sciences 279, n.º 1748 (10 de octubre de 2012): 4734–39. http://dx.doi.org/10.1098/rspb.2012.2085.
Texto completoUmar, Aminu, Charles A. Ameh, Francis Muriithi y Matthews Mathai. "Early warning systems in obstetrics: A systematic literature review". PLOS ONE 14, n.º 5 (31 de mayo de 2019): e0217864. http://dx.doi.org/10.1371/journal.pone.0217864.
Texto completoSchirdewahn, Frederik, Hartmut H. K. Lentz, Vittoria Colizza, Andreas Koher, Philipp Hövel y Beatriz Vidondo. "Early warning of infectious disease outbreaks on cattle-transport networks". PLOS ONE 16, n.º 1 (6 de enero de 2021): e0244999. http://dx.doi.org/10.1371/journal.pone.0244999.
Texto completoWlodkowic, Donald y Tomasz M. Karpiński. "Live-Cell Systems in Real-Time Biomonitoring of Water Pollution: Practical Considerations and Future Perspectives". Sensors 21, n.º 21 (23 de octubre de 2021): 7028. http://dx.doi.org/10.3390/s21217028.
Texto completoFoo, Jerome Clifford, Hamid Reza Noori, Ikuhiro Yamaguchi, Valentina Vengeliene, Alejandro Cosa-Linan, Toru Nakamura, Kenji Morita, Rainer Spanagel y Yoshiharu Yamamoto. "Dynamical state transitions into addictive behaviour and their early-warning signals". Proceedings of the Royal Society B: Biological Sciences 284, n.º 1860 (2 de agosto de 2017): 20170882. http://dx.doi.org/10.1098/rspb.2017.0882.
Texto completoCera, Alessandra, Simona Ceschin, Floriano Del Grosso, Lorenzo Traversetti y Massimiliano Scalici. "Correlating ecotoxicological early-warning systems to biotic indices to assess riverine teratogenic contamination". Marine and Freshwater Research 71, n.º 8 (2020): 1033. http://dx.doi.org/10.1071/mf18471.
Texto completoLenton, Timothy M. "Tipping positive change". Philosophical Transactions of the Royal Society B: Biological Sciences 375, n.º 1794 (27 de enero de 2020): 20190123. http://dx.doi.org/10.1098/rstb.2019.0123.
Texto completoNovianty, Astri, Carmadi Machbub, Sri Widiyantoro, Irwan Meilano y Daryono. "Tsunami Potential Prediction using Seismic Features and Artificial Neural Network for Tsunami Early Warning System". International Journal on Advanced Science, Engineering and Information Technology 12, n.º 1 (21 de enero de 2022): 16. http://dx.doi.org/10.18517/ijaseit.12.1.14237.
Texto completoManik, Lindung Parningotan, Hatim Albasri, Reny Puspasari, Aris Yaman, Shidiq Al Hakim, Al Hafiz Akbar Maulana Siagian, Siti Kania Kushadiani et al. "Usability and acceptance of crowd-based early warning of harmful algal blooms". PeerJ 11 (1 de marzo de 2023): e14923. http://dx.doi.org/10.7717/peerj.14923.
Texto completoBorcherding, Jost. "Ten Years of Practical Experience with the Dreissena-Monitor, a Biological Early Warning System for Continuous Water Quality Monitoring". Hydrobiologia 556, n.º 1 (febrero de 2006): 417–26. http://dx.doi.org/10.1007/s10750-005-1203-4.
Texto completoZi, WANG, TANG Yong, FU Yuanyuan, MENG Wei, WANG Shuai y LIU Xiaolin. "Monitoring of biomass at Cooling Water System of hongyanhe nuclear power plant by using acoustic methods". E3S Web of Conferences 194 (2020): 01007. http://dx.doi.org/10.1051/e3sconf/202019401007.
Texto completoOsborn, Dan. "The breadth of climate change impacts on biological systems". Emerging Topics in Life Sciences 3, n.º 2 (30 de abril de 2019): 107–13. http://dx.doi.org/10.1042/etls20180114.
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