Relevant bibliographies by topics / Genetic monitoring

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Genetic monitoring'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Genetic monitoring"

1

Fredeen, Howard. "Monitoring genetic change." Aquaculture 57, no. 1-4 (1986): 1–26. http://dx.doi.org/10.1016/0044-8486(86)90177-8.

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Citek, J., V. Rehout, J. Hajkova, and J. Pavkova. "Monitoring of the genetic health of cattle in theCzechRepublic." Veterinární Medicína 51, No. 6 (2012): 333–39. http://dx.doi.org/10.17221/5553-vetmed.

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A screening was carried out for CVM, BLAD, DUMPS, bovine citrullinaemia, glycogen storage disease V, and Robertsonian translocations in the cattle population of the Czech Republic. In 406 Holstein sires and 146 Czech Pied (Czech Simmental) sires entering the AI programme in the Czech Republic from 2003–2005, no heterozygous sire for DUMPS, bovine citrullinaemia and BLAD was found. The heterozygote was not found also in the beef sires of Charolais, Limousine, Beef Simmental, Blonde d’Aquitaine, Belgian Blue, Aberdeen-Angus, and Hereford breeds. In 111 elite Holstein females,
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Aravanopoulos, F. A. "Genetic monitoring in natural perennial plant populations." Botany 89, no. 2 (2011): 75–81. http://dx.doi.org/10.1139/b10-087.

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Genetic monitoring, the quantification of temporal changes in population genetics and dynamics metrics generated by using appropriate parameters, constitutes a method with a prognostic value. Genetic monitoring has been recognized in several international agreements and documents, and can be an important tool for the protection of biodiversity. However, approaches developed so far for perennial plant species are rather cumbersome for practical use. It is proposed that perennial plant genetic monitoring should focus on keystone species of biological and economical importance, as well as rare or
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Knudsen, L. E., H. Norppa, P. S. Nielsen, H. Okkels, and H. Autrup. "Genetic monitoring of bus drivers." Mutation Research/Environmental Mutagenesis and Related Subjects 360, no. 3 (1996): 241. http://dx.doi.org/10.1016/s0165-1161(96)90093-x.

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Trontelj, Peter, and Valerija Zakšek. "Genetic monitoring of Proteus populations." Natura Sloveniae 18, no. 1 (2016): 53–54. http://dx.doi.org/10.14720/ns.18.1.53-54.

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Armarego-Marriott, Tegan. "Monitoring bias for genetic diversity." Nature Climate Change 14, no. 2 (2024): 117. http://dx.doi.org/10.1038/s41558-024-01934-2.

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Milligan, Brook G., Frederick I. Archer, Anne-Laure Ferchaud, Brian K. Hand, Elizabeth M. Kierepka, and Robin S. Waples. "Disentangling genetic structure for genetic monitoring of complex populations." Evolutionary Applications 11, no. 7 (2018): 1149–61. http://dx.doi.org/10.1111/eva.12622.

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Bretting, Peter K., and Mark P. Widrlechner. "GENETIC MARKERS AND PLANT GENETIC RESOURCE MANAGEMENT." HortScience 28, no. 5 (1993): 472a—472. http://dx.doi.org/10.21273/hortsci.28.5.472a.

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When suitably deployed, genetic markers facilitate all phases of plant genetic resource management, from acquisition through enhancement. This paper will review the kinds of plant genetic resources and genetic markers, analytical methods for marker data, and specific applications of genetic markers to plant genetic resource management, such as (i) assessing a collection's “gaps” and redundancy; sampling strategies; characterizing newly acquired germplasm; maintaining “trueness to type”; monitoring genetic shifts; monitoring germplasm viability and health; developing optimal utilization strateg
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Savic, Mila, Slobodan Jovanovic, Ruzica Trailovic, and Vladimir Dimitrijevic. "Genetic monitoring in contemporary swine production." Veterinarski glasnik 56, no. 1-2 (2002): 83–88. http://dx.doi.org/10.2298/vetgl0202083s.

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The development of molecular techniques for genome studies has led to qualitative progress in the selection of domestic animals by enabling the use of genetic markers, in addition to phenotypic selection parameters in choosing an animal. Genetic montoring has a wide application in contemporary swine production. Namely, genetic control is in the basis of all procedures pertaining to the selection of parent couples. Genetic monitoring is thus used in the genetic characterization of breeds, lines (evaluation of genetic drift and calculation of genetic distance), identification of transgenic anima
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DAMME, KAREL, PAOLO VINEIS, MARJA SORSA, and LUDWINE CASTELEYN. "Ethical Issues in Genetic Screening and Genetic Monitoring of Employeesa." Annals of the New York Academy of Sciences 837, no. 1 (1997): 554–62. http://dx.doi.org/10.1111/j.1749-6632.1997.tb56900.x.

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Dissertations / Theses on the topic "Genetic monitoring"

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Charlier, Johan. "Monitoring gene level biodiversity - aspects and considerations in the context of conservation." Doctoral thesis, Stockholms universitet, Zoologiska institutionen, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-62796.

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The objectives of this thesis relate to questions needed to be addressed in the context of genetic monitoring for implementing the Convention on Biological Diversity for the gene level. Genetic monitoring is quantifying temporal changes in population genetic metrics. Specific goals of this thesis include i) synthesizing existing information relevant to genetic monitoring of Swedish species, ii) providing a genetic baseline for the Swedish moose, iii) evaluating the relative performance of nuclear versus organelle genetic markers for detecting population divergence, iv) actually monitoring the
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Hedmark, Eva. "Conservation Genetics of Scandinavian Wolverines." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis : Universitetsbiblioteket [distributör], 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-6636.

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Palmé, Anna. "Assessing and monitoring genetic patterns for conservation purposes with special emphasis on Scandinavia." Doctoral thesis, Stockholms universitet, Zoologiska institutionen, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-42942.

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Genetic variation is essential for biological evolution, for maintaining viability of populations, and to ensure ecosystem resilience. Increased human exploitation and environmental change result in rapid loss of biological variation, including genetic diversity. Measures to halt this trend require that biological diversity is assessed and monitored. Assessment of biodiversity includes identifying patterns of distribution of genetic variation within individual species. This thesis focuses on spatial genetic structure and assessment of units for conservation in continuous environments without a
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Gerdes, Mike. "Health Monitoring for Aircraft Systems using Decision Trees and Genetic Evolution." Diss., Aircraft Design and Systems Group (AERO), Department of Automotive and Aeronautical Engineering, Hamburg University of Applied Sciences, 2019. http://d-nb.info/1202830382.

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Reducing unscheduled maintenance is important for aircraft operators. There are significant costs if flights must be delayed or cancelled, for example, if spares are not available and have to be shipped across the world. This thesis describes three methods of aircraft health condition monitoring and prediction; one for system monitoring, one for forecasting and one combining the two other methods for a complete monitoring and prediction process. Together, the three methods allow organizations to forecast possible failures. The first two use decision trees for decision-making and genetic optimi
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Monkuvienė, Jolanta. "Kačių genetinių išteklių monitoringas ir panaudojimas Lietuvoje." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2014. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2014~D_20140618_232810-93330.

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Darbo tikslas ir uždaviniai: Surinkti ir išanalizuoti informaciją apie esančius Lietuvos kačių registrų duomenų bazes; Ištirti kačių veislių populiarumą Lietuvoje; Ištirti kačių skaičiaus kitimo tendencijas populiariausiose veislėse 2009 – 2013 m.; Ištirti kokios dažniausiai pasitaiko genetinės ligos veisiant kates ir kokiose veislėse. Tyrimo metodika: mokslinės literatūros analizė, statistinių duomenų rinkimas ir apdorojimas. Rezultatai ir išvados: Nustatyta, kad per 2009 – 2013 metus, buvo užregistruoti 34618 gyvūnai. Lietuvoje buvo užregistruotos 7297 katės iš kurių 4198 priklausė dešimčiai
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McLennan, Elspeth Ann. "To move or not to move? A genetic toolkit for monitoring assisted colonisations." Thesis, University of Sydney, 2020. https://hdl.handle.net/2123/24271.

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Worldwide there are over one million species threatened with extinction. Assisted colonisations are becoming increasingly relevant as in situ threat mitigation fails to keep pace with population declines. Human-mediated movement of species to habitats beyond their native range has been used to protect species against prevailing disease threats, invasive species and climate change. To be successful, scientifically derived principles for planning and implementation of assisted colonisations are needed. Recent technological advancements have increased our capacity to monitor wildlife. With genet
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Nam, Kijin. "Optimization of paths and locations of water quality monitoring systems in surface water environments." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/24745.

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Thesis (Ph.D.)--Civil and Environmental Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Aral, Mustafa; Committee Member: Guan, Jiabao; Committee Member: Kim, Seong-Hee; Committee Member: Roberts, Philip; Committee Member: Uzer, Turgay.
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Wong, Kam Cheung. "Intelligent methods of power system components monitoring by artificial neural networks and optimisation using evolutionary computing techniques." Thesis, University of Sunderland, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.285580.

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Ono, Kim E. "Genetic, Behavioral, and Physiological Predictors of Phenotypic Variability in Typically Developing and High Functioning Children with Autism." Scholarly Repository, 2011. http://scholarlyrepository.miami.edu/oa_theses/275.

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There is extensive research focused on identifying predictors of autism, including biomarkers such as genes and neurophysiology. Because of inconsistent data, I explored these biomarkers as predictors of variability in behavioral outcomes (i.e., internalizing and externalizing symptoms), rather than indicators of the disorder per se. In a sample of children (ages 8-16) diagnosed with High Functioning Autism (HFA) and an age- and IQ- matched typically developing comparison group, individual differences in behavioral outcomes were assessed in relation to common genetic polymorphisms, 5-HTTLPR an
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Siu, Ho-yee Vivian. "The role of monitoring style in managing psychological distress associated with genetic colorectal cancer testing." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29760161.

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Books on the topic "Genetic monitoring"

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NATO, Advanced Research Workshop on Human Monitoring for Genetic Effects (2002 Kraków Poland). Human monitoring for genetic effects. IOS Press, 2003.

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United States. Congress. Office of Technology Assessment., ed. Genetic monitoring and screening in the workplace. Congress of the U.S., Office of Technology Assessment, 1990.

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Pawar, Prashant M. Structural health monitoring using genetic fuzzy systems. Springer, 2011.

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Pawar, Prashant M., and Ranjan Ganguli. Structural Health Monitoring Using Genetic Fuzzy Systems. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-907-9.

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J, Hedrich Hans, Adams M, and International Council for Laboratory Animal Science., eds. Genetic monitoring of inbred strains of rats: A manual on colony management, basic monitoring techniques, and genetic variants of the laboratory rat. Gustav Fischer Verlag, 1990.

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Eduardo, Castilla, Stickle Gabriel, Dickman Florence, and March of Dimes Birth Defects Foundation., eds. Methodology for birth defects monitoring. March of Dimes Birth Defects Foundation, Professional Education Dept., 1986.

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Pool, Robert. Ecological monitoring of genetically modified crops: A workshop summary. National Academy Press, 2001.

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David, Brusick, ed. Methods for genetic risk assessment. Lewis Publishers, 1994.

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Neemann, Gerd. Materialien für ein Konzept zum Monitoring von Umweltwirkungen gentechnisch veränderter Pflanzen. Umweltbundesamt, 1999.

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Sazykina, M. A. Monitoring genotoksichnosti vodnoĭ sredy: Azovo-Donskoĭ basseĭn. I︠U︡zhnyĭ federalʹnyĭ universitet, 2009.

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Book chapters on the topic "Genetic monitoring"

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Maxted, N., L. Guarino, and M. E. Dulloo. "Management and monitoring." In Plant Genetic Conservation. Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-009-1437-7_9.

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MacGregor, J. T., L. D. Claxton, J. Lewtas, R. Jensen, W. R. Lower, and G. G. Pesch. "Monitoring Environmental Genotoxicants." In Methods for Genetic Risk Assessment. CRC Press, 2024. http://dx.doi.org/10.1201/9781003578888-5.

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Pawar, Prashant M., and Ranjan Ganguli. "Genetic Fuzzy System." In Structural Health Monitoring Using Genetic Fuzzy Systems. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-907-9_2.

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Villalobos-Pietrini, Rafael, Sandra Gómez-Arroyo, and Omar Amador-Muñoz. "Genetic Monitoring of Airborne Particles." In Biomonitors and Biomarkers as Indicators of Environmental Change 2. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1305-6_24.

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Bruford, Michael W., Neil Davies, Mohammad Ehsan Dulloo, Daniel P. Faith, and Michele Walters. "Monitoring Changes in Genetic Diversity." In The GEO Handbook on Biodiversity Observation Networks. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-27288-7_5.

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Kawamoto, Toshihiro, and Yasushi Kodama. "Biological Monitoring and Genetic Polymorphism." In ACS Symposium Series. American Chemical Society, 1997. http://dx.doi.org/10.1021/bk-1997-0654.ch017.

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Przystałka, Piotr, Mateusz Kalisch, and Anna Timofiejczuk. "Genetic Optimization of Meta-Learning Schemes for Context-Based Fault Detection." In Applied Condition Monitoring. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62042-8_26.

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Wodecki, Jacek, Anna Michalak, Agnieszka Wyłomańska, and Radosław Zimroz. "Local Termination Criterion for Impulsive Component Detection Using Progressive Genetic Algorithm." In Applied Condition Monitoring. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-11220-2_39.

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Najeh, Tawfik, Achraf Jaber Telmoudi, and Lotfi Nabli. "Nonlinear Process Monitoring Using Genetic Algorithms." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23597-4_9.

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Oettel, Janine, Bettina Thalinger, Aglaia Szukala, Linus Munishi, and Katharina Lapin. "Monitoring Methods for the Protection of Connectivity in Forest Ecosystems." In Ecological Connectivity of Forest Ecosystems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-82206-3_8.

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Abstract Forest ecosystems face increasing threats from climate change, resource exploitation, and other anthropogenic disturbances causing biodiversity loss and habitat fragmentation. The conservation priority of connected, healthy forests necessitates robust monitoring that covers the landscape, ecosystem, species, and genetic levels and employs direct as well as indirect methods. Connectivity objectives encompass patch colonization, prioritization, and landscape assessment at multiple scales. Monitoring landscapes and forest ecosystems involves assessing their physical attributes and functi
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Conference papers on the topic "Genetic monitoring"

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Tong, Qiong, Min Tong, Chengxu Kang, and Xiaohan Zhang. "Design of Micro-seismic Ground Monitoring System Based on Genetic Algorithm." In 2024 2nd International Conference on Mechatronics, IoT and Industrial Informatics (ICMIII). IEEE, 2024. http://dx.doi.org/10.1109/icmiii62623.2024.00065.

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Zhu, Xiangyang, John Lubeck, Kristine Lowe, Amrutha Daram, and John J. Kilbane. "Improved Method for Monitoring Microbial Communities in Gas Pipelines." In CORROSION 2004. NACE International, 2004. https://doi.org/10.5006/c2004-04592.

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Abstract Microbiologically Influenced Corrosion (MIC) is a significant problem affecting the gas industry, particularly gas production operations. The most commonly used means of monitoring corrosion is to quantify the number of bacteria capable of growing in various microbial growth media after inoculation with water samples obtained from pipelines. However, it is becoming increasingly apparent that the number and type of bacteria present in water samples, as measured by microbial growth tests, does not correlate well with the presence or extent of corrosion in pipelines, and that microbial g
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Hock, Patrick, Koki Wakiyama, Chika Oshima, and Koichi Nakayama. "Drone monitoring system for disaster areas." In GECCO '19: Genetic and Evolutionary Computation Conference. ACM, 2019. http://dx.doi.org/10.1145/3319619.3326885.

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Ohmura, Ren. "Sustainable sensor network architecture for monitoring human activities." In GECCO '18: Genetic and Evolutionary Computation Conference. ACM, 2018. http://dx.doi.org/10.1145/3205651.3208313.

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HUANG, JINGYU, ZIYANG ZHANG, XIAONONG WANG, and YUHAO ZHENG. "RESEARCH ON MODAL IDENTIFICATION OF HIGH- SPEED MAGLEV GUIDEWAY STRUCTURE BASED ON DATA FUSION AND GENETIC ALGORITHM." In Structural Health Monitoring 2023. Destech Publications, Inc., 2023. http://dx.doi.org/10.12783/shm2023/37070.

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High-speed maglev guideway structures are an important part of high-speed maglev transportation systems. A precise and efficient modal identification method for guideway structures is proposed to study the dynamic characteristics of highspeed maglev systems. Ensuring the safety of high-speed maglev transportation systems is of great significance. Taking the high-speed maglev guideway structure as the research object, this paper proposes a method for optimizing the sensor arrangement based on a genetic algorithm and a method for identifying the multiorder modes of the guideway structure based o
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Anastasiu, Doru Popescu, and Dan Radulescu. "Monitoring of irrigation systems using genetic algorithms." In 2015 6th International Conference on Modeling, Simulation, and Applied Optimization (ICMSAO). IEEE, 2015. http://dx.doi.org/10.1109/icmsao.2015.7152204.

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CHEN, WEI-JIANG, ZHEN-YUE MA, and YU-XIN DONG. "GENETIC REGRESSION MODEL FOR DAM SAFETY MONITORING." In Proceedings of the 13th IAHRߝ;APD Congress. World Scientific Publishing Company, 2002. http://dx.doi.org/10.1142/9789812776969_0128.

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Aravanopoulos, Filippos A., Nikolaos Tourvas, Ermioni Malliarou, Fani G. Lyrou, Vasiliki-Maria Kotina, and Anna-Maria Farsakoglou. "Forest Genetic Monitoring in a Biodiversity Hotspot." In IECF 2022. MDPI, 2022. http://dx.doi.org/10.3390/iecf2022-13127.

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WHELAN, MATTHEW, TIMOTHY KERNICKY, and NEAL ZAMUDIO. "Structural Identification of Large Finite Element Models Using Commodity Computing Clusters for Parallel Genetic Algorithms." In Structural Health Monitoring 2015. Destech Publications, 2105. http://dx.doi.org/10.12783/shm2015/112.

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Hongguang, Yun, Niu Hang, Hou Chenggang, and Zhang Xiaodong. "An improved windowed time synchronous averaging method based on genetic algorithm." In 2018 Condition Monitoring and Diagnosis (CMD). IEEE, 2018. http://dx.doi.org/10.1109/cmd.2018.8535703.

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Reports on the topic "Genetic monitoring"

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Buchanan, M. V. Monitoring Genetic and Metabolic Potential for In-Site Bioremediation: Mass Spectrometry. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/885583.

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Buchanan, Michelle V., Gregory B. Hurst, Mary E. Lidstrom, et al. Monitoring Genetic & Metabolic Potential for In Situ Bioremediation: Mass Spectrometry. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/827402.

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Buchanan, Michelle V., Phillip F. Britt, Mitchel J. Doktycz, Gregory B. Hurst, and Mary E. Lidstrom. Monitoring Genetic and Metabolic Potential for In-Situ Bioremediation: Mass Spectrometry. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/827403.

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Buchanan, Michelle V. Monitoring Genetic and Metabolic Potential for in situ Bioremediation: Mass Spectrometry. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/827404.

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Zogg, Greg, and Steve Travis. Zogg_and_Travis_final_EMF_report_2025. Forest Ecosystem Monitoring Cooperative, 2025. https://doi.org/10.18125/5tu42i.

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Buchanan, M. V., G. B. Hurst, P. F. Britt, S. A. McLuckey, and M. J. Doktycz. Monitoring genetic and metabolic potential for in situ bioremediation: Mass spectrometry. 1997 annual progress report. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/13438.

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Buchanan, M. V., G. B. Hurst, M. J. Doktycz, et al. Monitoring genetic and metabolic potential for in situ bioremediation: Mass spectrometry. 1998 annual progress report. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/13439.

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Busack, Craig A., Anthony L. Fritts, and Todd Kassler. Yakima/Klickitat Fisheries Project Genetic Studies; Yakima/Klickitat Fisheries Project Monitoring and Evaluation, 2005-2006 Annual Report. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/903223.

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Busack, Craig A., Alice Frye, and Todd Kassler. Yakima/Klickitat Fisheries Project Genetic Studies; Yakima/Klickitat Fisheries Project Monitoring and Evaluation, 2004-2005 Annual Report. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/885224.

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Busack, Craig A., Steven L. Schroder, and Sewall F. Young. Yakima/Klickitat Fisheries Project Genetic Studies; Yakima/Klickitat Fisheries Project Monitoring and Evaluation, 2000-2001 Annual Report. Office of Scientific and Technical Information (OSTI), 2002. http://dx.doi.org/10.2172/819777.

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