Relevant bibliographies by topics / Coral models

Contents

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

Academic literature on the topic 'Coral models'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Coral models"

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Oren, Asa, Ofer Berman, Reem Neri, et al. "Three-Dimensional-Printed Coral-like Structures as a Habitat for Reef Fish." Journal of Marine Science and Engineering 11, no. 4 (2023): 882. http://dx.doi.org/10.3390/jmse11040882.

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Coral reefs are three-dimensional biogenic structures that provide habitat for plenty of marine organisms; yet, coral reefs are deteriorating worldwide. Hence, it is essential to identify suitable substitutes for such coral services. This study examines reef fishes’ behavior and reactions to three-dimensional-printed (3DP) corals based on scanned Stylophora pistillata, as well as modified 3DP models. In particular, fishes’ unresponsiveness to the color, shape, morphology, and material of 3DP models both in vitro and in situ experiments was investigated. Coral reef fishes responded to the 3DP c
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Mayfield, Anderson B., and Chiahsin Lin. "Field-Testing a Proteomics-Derived Machine-Learning Model for Predicting Coral Bleaching Susceptibility." Applied Sciences 13, no. 3 (2023): 1718. http://dx.doi.org/10.3390/app13031718.

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Given the widespread decline of coral reefs, temperature-focused models have been generated to predict when and where bleaching events may occur (e.g., Coral Reef Watch). Although such algorithms are adept at forecasting the onset of bleaching in many areas, they suffer from poor predictive capacity in regions featuring corals that have adapted or acclimatized to life in marginal environments, such as reefs of the Florida Keys (USA). In these locales, it may instead be preferred to use physiological data from the corals themselves to make predictions about stress tolerance. Herein proteomic da
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Han, Hongyong, Wei Wang, Gaowei Zhang, Mingjie Li, and Yi Wang. "Enhancing Vision-Language Models with Morphological and Taxonomic Knowledge: Towards Coral Recognition for Ocean Health." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 27 (2025): 28052–60. https://doi.org/10.1609/aaai.v39i27.35023.

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Coral reefs play a crucial role in marine ecosystems, offering a nutrient-rich environment and safe shelter for numerous marine species. Automated coral image recognition aids in monitoring ocean health at a scale without experts' manual effort. Recently, large vision-language models like CLIP have greatly enhanced zero-shot and low-shot classification capabilities for various visual tasks. However, these models struggle with fine-grained coral-related tasks due to a lack of specific knowledge. To bridge this gap, we compile a fine-grained coral image dataset consisting of 16,659 images with t
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Deng, Wen, David P. Callaghan, and Tom E. Baldock. "STRUCTURAL AND HYDRODYNAMIC ANALYSIS OF THE BREAKAGE OF BRANCHING AND PLATE CORALS." Coastal Engineering Proceedings, no. 38 (May 29, 2025): 22. https://doi.org/10.9753/icce.v38.management.22.

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Climate change is amplifying the frequency and intensity of severe weather events, with coastal regions such as the Great Barrier Reef (GBR) facing heightened vulnerability to cyclonic wave forces. Structural models have been developed for coral colonies to enhance comprehension and prediction of the effects of hydrodynamic disturbances on coral reefs. However, the methodology for quantifying complicated and variable coral morphologies remains inadequate, and the corresponding data remains considerably limited, thereby impeding structural analysis and hindering the broader-scale forecasting of
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Mayfield, Anderson B., Alexandra C. Dempsey, Chii-Shiarng Chen, and Chiahsin Lin. "Expediting the Search for Climate-Resilient Reef Corals in the Coral Triangle with Artificial Intelligence." Applied Sciences 12, no. 24 (2022): 12955. http://dx.doi.org/10.3390/app122412955.

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Numerous physical, chemical, and biological factors influence coral resilience in situ, yet current models aimed at forecasting coral health in response to climate change and other stressors tend to focus on temperature and coral abundance alone. To develop more robust predictions of reef coral resilience to environmental change, we trained an artificial intelligence (AI) with seawater quality, benthic survey, and molecular biomarker data from the model coral Pocillopora acuta obtained during a research expedition to the Solomon Islands. This machine-learning (ML) approach resulted in neural n
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Finlay-Jones, H., V. Raoult, D. Harasti, and T. F. Gaston. "What eats a cauliflower coral? An assessment of predation on the endangered temperate soft coral,." Marine and Freshwater Research 73, no. 3 (2021): 307–18. http://dx.doi.org/10.1071/mf21155.

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Temperate soft corals are found in many estuaries around the world and often form large habitats in these environments, yet the functional ecology of soft corals is poorly understood. To understand the functional role of a soft coral in temperate ecosystems, we examined the role of the endangered Dendronepthya australis cauliflower coral as habitat for fishes and invertebrates, and whether associated species used the soft coral as a food source. Using Bayesian stable isotope mixing models of δ13C and δ15N values of soft corals and a suite of potential invertebrate consumers, we found that five
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Mariño-Briceño, Gloria, José Cappelletto, Alfredo Ascanio, Esteban Agudo-Adriani, and Aldo Cróquer. "Describing the dynamics of recruits and juvenile scleractinian corals using 3d models: a case study from Cayo Mero reef, Morrocoy National Park, Venezuela." Novitates Caribaea, no. 23 (January 22, 2024): 51–73. http://dx.doi.org/10.33800/nc.vi23.347.

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Understanding the dynamics of coral recruitment and post-settlement is fundamental to a better comprehension of coral reef dynamics and recovery. We studied the abundance and survivorship of coral recruits and juveniles together with benthic dynamics at a scale of months and centimeters in Playa Mero reef, a disturbed reef in Morrocoy National Park. For this, we used photogrammetry to monitor eight permanent 50x50 cm quadrats haphazardly deployed every 3–4 months over 18 months. Juveniles and recruits of Agaricia spp. were at least four times more abundant than reef builders such as Orbicella
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Sembiring, Kennedi, Afivah Claura Harahap, and Arief Baswantara. "Analisis Perbandingan Desain Struktur Media Transplantasi Terumbu Karang Model Web Spider dan Model Pyramid." Jurnal Manajemen Pesisir dan Laut 3, no. 01 (2025): 21. https://doi.org/10.36841/mapel.v3i01.6303.

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Coral transplantation is a marine ecosystem restoration technique used to improve the condition of damaged coral reefs, by accelerating the coral regeneration process in damaged areas. This study aims to test the effectiveness of the Web Spider coral reef transplantation model and the Pyramid model, in supporting the growth and survival of transplanted corals. The study was conducted on Pramuka Island, Seribu Islands for 2 months using Acropora tenuis coral fragments. The parameters observed included survival rate, corrosive rate, strength and stability of the structure, and environmental cond
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Zhang, H., A. Gruen, and M. Li. "DEEP LEARNING FOR SEMANTIC SEGMENTATION OF CORAL IMAGES IN UNDERWATER PHOTOGRAMMETRY." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2022 (May 17, 2022): 343–50. http://dx.doi.org/10.5194/isprs-annals-v-2-2022-343-2022.

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Abstract. Regular monitoring activities are important for assessing the influence of unfavourable factors on corals and tracking subsequent recovery or decline. Deep learning-based underwater photogrammetry provides a comprehensive solution for automatic large-scale and precise monitoring. It can quickly acquire a large range of underwater coral reef images, and extract information from these coral images through advanced image processing technology and deep learning methods. This procedure has three major components: (a) Generation of 3D models, (b) understanding of relevant corals in the ima
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Evensen, Nicolas R., Yves-Marie Bozec, Peter J. Edmunds, and Peter J. Mumby. "Scaling the effects of ocean acidification on coral growth and coral–coral competition on coral community recovery." PeerJ 9 (July 13, 2021): e11608. http://dx.doi.org/10.7717/peerj.11608.

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Ocean acidification (OA) is negatively affecting calcification in a wide variety of marine organisms. These effects are acute for many tropical scleractinian corals under short-term experimental conditions, but it is unclear how these effects interact with ecological processes, such as competition for space, to impact coral communities over multiple years. This study sought to test the use of individual-based models (IBMs) as a tool to scale up the effects of OA recorded in short-term studies to community-scale impacts, combining data from field surveys and mesocosm experiments to parameterize
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Dissertations / Theses on the topic "Coral models"

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Radford, Benedict. "Cross-shelf coral reef biodiversity : does data and ecological theory fit with habitat-based species conservation models?" University of Western Australia. School of Earth and Geographical Sciences, 2007. http://theses.library.uwa.edu.au/adt-WU2007.0212.

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[Truncated abstract] Selection of priority areas for Marine Park conservation is often compromised by the lack of comprehensive biodiversity data and the resources and expertise necessary to gain this information directly by sampling. One cost effective alternative is the use of species groups or indicator species as surrogates for total biodiversity. However use of these surrogates requires an ecological understanding of how they reflect biodiversity gradients. A framework for unravelling these relationships has been suggested that involves relating species biodiversity to different and compe
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Renken, Hendrik. "Macroalgal dynamics on Caribbean coral forereefs." Thesis, University of Exeter, 2008. http://hdl.handle.net/10036/41253.

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Tropical coral reefs are among the most diverse ecosystems of the world but facing increasing threats to their health. Over the last thirty years, many Caribbean coral reefs have undergone dramatic changes and experienced large losses in coral cover, due to direct and indirect anthropogenic disturbances. The results of which are reefs with low rugosity, changed trophic dynamics and low fish diversity. In recent times reefs have failed to recover from disturbances due to an increase in frequency and severity of disturbances and stresses. In the Caribbean on many coral reefs this has resulted in
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Fung, T. C. "Local scale models of coral reef ecosystems for scenario testing and decision support." Thesis, University College London (University of London), 2009. http://discovery.ucl.ac.uk/18998/.

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The world’s coral reefs have been severely degraded over the past four decades and better management is urgently required to reverse this trend. Mathematical models are important tools for hypothesis and scenario testing, and are thus essential for better management. In this thesis, models of a coral reef ecosystem are constructed that aim to identify the key ecological processes responsible for reef degradation. The models operate at a ‘local’ intra-reef scale and they are dynamic, deterministic and non-spatial. A modelling strategy is used which adds complexity in a step-wise fashion, and th
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Snelgrove, Paul V. R. "Pollution detection models and habitat preference of the cryptofauna associated with the coral Madracis Mirabilis." Thesis, McGill University, 1986. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=66126.

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Burgess, Heather Rachel. "Integral Projection Models and analysis of patch dynamics of the reef building coral Monstastraea annularis." Thesis, University of Exeter, 2011. http://hdl.handle.net/10036/3503.

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Over the past 40 years, coral cover has reduced by as much as 80%. At the same time, Coral Reefs are coming under increasing threat from hurricanes, as climate change is expected to increase the intensity of hurricanes. Therefore, it has become increasingly important to understand the effect of hurricanes on a coral population. This Thesis focuses on the reef-building coral Montastraea annularis. This species once dominated Caribbean Coral Reefs, but is fast being replaced by faster growing more opportunistic species. It is important that the underlying dynamics of the decline is understood, i
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Kool, Johnathan. "Connectivity and Genetic Structure in Coral Reef Ecosystems: Modeling and Analysis." Scholarly Repository, 2008. http://scholarlyrepository.miami.edu/oa_dissertations/157.

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This dissertation examines aspects of the relationship between connectivity and the development of genetic structure in subdivided coral reef populations using both simulation and algebraic methods. The first chapter develops an object-oriented, individual based method of simulating the dynamics of genes in subdivided populations. The model is then used to investigate how changes to different components of population structure (e.g., connectivity, birth rate, population size) influence genetic structure through the use of autocorrelation analysis. The autocorrelograms also demonstrate how r
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Gilmour, James Paton. "Combining methods of analysis to understand the demography of corals : an example for populations of the mushroom coral Fungia fungites exposed to contrasting regimes of disturbance." University of Western Australia. School of Animal Biology, 2005. http://theses.library.uwa.edu.au/adt-WU2005.0092.

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[Truncated abstract] Most ecological research investigates the demography of organisms, which can be summarised by their population dynamics and structure. Population dynamics are the rates of birth, growth, reproduction and survival of individuals, which determine the number of individuals in different stage classes, or, the population structure. Understanding the demography of organisms is particularly difficult, and requires the application of different methods of investigation. A number of methods of investigation are required because each can only investigate particular aspects of popul
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Foster, Kristi A. "Field Ecology Patterns of High Latitude Coral Communities." NSUWorks, 2011. http://nsuworks.nova.edu/occ_stuetd/82.

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Some climate models predict that, within the next 30-50 years, sea surface temperatures (SSTs) will frequently exceed the current thermal tolerance of corals (Fitt et al. 2001; Hughes et al. 2003; Hoegh-Guldberg et al. 2007). A potential consequence is that mass coral bleaching may take place (i) during warm El Niño-Southern Oscillation (ENSO) events which are predicted to occur in some regions more frequently than the current 3-7 year periodicity (Hoegh-Guldberg 1999; Sheppard 2003) or (ii) perhaps as often as annually or biannually if corals and their symbionts are unable to acclimate to the
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Charpentier, Bernadette. "The Role of Colony Size in the Resistance and Tolerance of Scleractinian Corals to Bleaching Caused by Thermal Stress." Thèse, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/30662.

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In 2005 and 2010, high sea surface temperatures caused widespread coral bleaching on Jamaica’s north coast reefs. Three shallow (9m) reef sites were surveyed during each event to quantify the prevalence and intensity of coral bleaching. In October 2005, 29-57% of the colonies surveyed were bleached. By April 2006, 10% of the corals remained pale/partially bleached. Similarly, in October 2010, 23-51% of corals surveyed at the same sites were bleached. By April 2011, 12% of the colonies remained pale/partially bleached. Follow-up surveys revealed low coral mortality following both events, with a
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Singh, Abhinav. "Aggregation in the Schelling model and inverted biomass pyramids in ecosystems." Diss., Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29606.

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Thesis (Ph.D)--Physics, Georgia Institute of Technology, 2009.<br>Committee Chair: Weiss, Howard; Committee Member: Cvitanovic , Predrag; Committee Member: Goldman, Daniel; Committee Member: Schatz, Michael; Committee Member: Wiesenfeld, Kurt. Part of the SMARTech Electronic Thesis and Dissertation Collection.
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Books on the topic "Coral models"

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Skirving, William. Palau modeling final report. s.n., 2005.

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Bjornar, Solhaug, and Stølen Ketil, eds. Model-driven risk analysis: The CORAS approach. Springer, 2010.

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Gleit, Alan. Coal sampling and analysis: Methods and models. U.S. Environmental Protection Agency, Air and Energy Engineering Research Laboratory, 1985.

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Gleit, Alan. Coal sampling and analysis: Methods and models. Noyes Publications, 1986.

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G, Waters W. Export coal logistics: Management, models, and moving coal. Centre for Transportation Studies, University of British Columbia, 1987.

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C, Lyons Paul, and Alpern Boris, eds. Peat and coal: Origin, facies, and depositional models. Elsevier, 1989.

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1944-, Bolten J. G., and Electric Power Research Institute, eds. Alternative models for risk assessment of toxic emissions. Rand, 1985.

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Tavener-Smith, R. Sedimentary models for coal formation in the Paulpietersburg-Charlestown area of northern Natal. Geological Survey, Dept. of Mineral and Energy Affairs, Republic of South Africa, 1987.

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Susko, Frank J. A kinetic model for conventional flotation of coal. U.S. Dept. of the Interior, Bureau of Mines, 1995.

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Isaev, G. D. Korrally, biostratigrafii︠a︡ i geologicheskie modeli paleozoi︠a︡ Zapadnoĭ Sibiri. Geo, 2007.

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Book chapters on the topic "Coral models"

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McFarland, Brian Joseph. "Blue Procurement Models." In Conservation of Tropical Coral Reefs. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57012-5_14.

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Riegl, Bernhard M., and Sam J. Purkis. "Dynamics of Gulf Coral Communities: Observations and Models from the World’s Hottest Coral Sea." In Coral Reefs of the World. Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-3008-3_5.

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Scully, Erik P., James Prappas, and Gary K. Ostrander. "Laboratory models for the study of coral pathologies." In The Ecology and Etiology of Newly Emerging Marine Diseases. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-017-3284-0_7.

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Tol, Samantha J., Alexandra Carter, Paul H. York, Alana Grech, Rong Situ, and Robert G. Coles. "Estimates of Wind Drift Coefficient to Inform Biophysical Models of Seagrass Dispersal in the Great Barrier Reef." In Oceanographic Processes of Coral Reefs, 2nd ed. CRC Press, 2024. http://dx.doi.org/10.1201/9781003320425-15.

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Green, David Geoffrey. "Cellular Automata Models of Crown-of-Thorns Outbreaks." In Acanthaster and the Coral Reef: A Theoretical Perspective. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-46726-4_10.

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Done, T. J. "Transition Matrix Models, Crown-of-Thorns and Corals." In Acanthaster and the Coral Reef: A Theoretical Perspective. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-46726-4_17.

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Mccallum, H. I. "Effects of Predation on Acanthaster: Age-Structured Metapopulation Models." In Acanthaster and the Coral Reef: A Theoretical Perspective. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-46726-4_13.

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Black, Kerry P., and Stephen L. Gay. "A Numerical Scheme for Determining Trajectories in Particle Models." In Acanthaster and the Coral Reef: A Theoretical Perspective. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-46726-4_9.

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Arias-González, Jesús Ernesto, Craig Johnson, Rob M. Seymour, Pascal Perez, and Porfirio Aliño. "Scaling Up Models of the Dynamics of Coral Reef Ecosystems: An Approach for Science-Based Management of Global Change." In Coral Reefs: An Ecosystem in Transition. Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-94-007-0114-4_21.

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Parslow, J. S. "Stochastic and Spatial Effects in Predator-Prey Models of Acanthaster-Coral Interactions." In Acanthaster and the Coral Reef: A Theoretical Perspective. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-46726-4_6.

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Conference papers on the topic "Coral models"

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Jeothi, Ranjana P., S. Hershni Raj, Parvathy Anil, and R. J. Vaishnavi. "Integrated Model for Underwater Image Enhancement and Coral Health Classification." In 2024 International Conference on Intelligent Computing and Emerging Communication Technologies (ICEC). IEEE, 2024. https://doi.org/10.1109/icec59683.2024.10837365.

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Weerasooriya, Anusara, Dilshi Wanniarachchi, Semini Hiranya Peiris, Nimesha Priyabandu, Samadhi Rathnayake, and Samitha Vidhanaarachchi. "Multi-Model System for Sustainable Coral Reef Conservation in Sri Lanka." In 2024 6th International Conference on Advancements in Computing (ICAC). IEEE, 2024. https://doi.org/10.1109/icac64487.2024.10851111.

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Gautam, Neeraj Kumar, Mayank Mishra, and Umesh C. Pati. "Bleaching Detection in Coral Reef using Deep Convolutional Autoencoder based Model." In 2024 4th International Conference on Artificial Intelligence and Signal Processing (AISP). IEEE, 2024. https://doi.org/10.1109/aisp61711.2024.10870660.

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Joublin, Frank, Antonello Ceravola, Pavel Smirnov, et al. "CoPAL: Corrective Planning of Robot Actions with Large Language Models." In 2024 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2024. http://dx.doi.org/10.1109/icra57147.2024.10610434.

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Samarakoon, S. M. H. M., B. K. K. S. Rodrigo, N. P. U. N. Pathirana, M. N. F. Nifra, M. N. R. Begum, and K. A. S. H. Kulathilake. "Automated Algae Detection and Quantification on Coral Reefs Using U-Net Segmentation Model." In 2024 8th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI). IEEE, 2024. https://doi.org/10.1109/slaai-icai63667.2024.10844984.

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Kaur, Arpanpreet, Kanwarpartap Singh Gill, Mukesh Kumar, and Ruchira Rawat. "VGG19's Role in Safeguarding Coral Reefs using a CNN-Based Monitoring Model." In 2024 4th Asian Conference on Innovation in Technology (ASIANCON). IEEE, 2024. https://doi.org/10.1109/asiancon62057.2024.10838114.

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Vivekanand, Chettiyar Vani, Varunesh B, and Vinoth N. "Efficient Coral Reef Mapping for Marine Ecosystem Conservation Using VGG16 Neural Network Model." In 2024 IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN). IEEE, 2024. https://doi.org/10.1109/cicn63059.2024.10847426.

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Ajay, Akanksh M, and Mamatha Balipa. "Enhancing Coral Health Monitoring with a Hybrid CNN-ViT Model for Bleaching Prediction." In 2025 Third International Conference on Augmented Intelligence and Sustainable Systems (ICAISS). IEEE, 2025. https://doi.org/10.1109/icaiss61471.2025.11041783.

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NATH, PRAN. "SOFT BREAKING IN SUSY, STRING AND INTERSECTING D BRANE MODELS." In Proceedings of the 32nd Coral Gables Conference. WORLD SCIENTIFIC, 2005. http://dx.doi.org/10.1142/9789812701992_0048.

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Alonso, Inigo, Ana Cambra, Adolfo Munoz, Tali Treibitz, and Ana C. Murillo. "Coral-Segmentation: Training Dense Labeling Models with Sparse Ground Truth." In 2017 IEEE International Conference on Computer Vision Workshop (ICCVW). IEEE, 2017. http://dx.doi.org/10.1109/iccvw.2017.339.

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Reports on the topic "Coral models"

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Rinkevich, Baruch, and Cynthia Hunter. Inland mariculture of reef corals amenable for the ornamental trade. United States Department of Agriculture, 2006. http://dx.doi.org/10.32747/2006.7695880.bard.

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The worldwide market for ornamental saltwater invertebrates supplies the needs of millions of aquarium hobbyists, public exhibitions (i.e., zoos) universities and research institutions. With respect to reef building corals, it is estimated that more than half a million coral colonies/year from a total 93 genera, were exported globally during the period of 1985-1997. International value of retail sale of live coral trade alone is estimated as $78 million in 1997 (not including the illegally, widely smuggled material). The continuous, large-scale collection of marine organisms is responsible, in
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Pradhananga, Manisha, David A. Raitzer, Iva Sebastian-Samaniego, and Daryll Naval. Decarbonization Pathways in Developing Asia: Evidence from Modeling Scenarios. Asian Development Bank, 2023. http://dx.doi.org/10.22617/wps230593-2.

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The Sixth Assessment Report of the Intergovernmental Panel on Climate Change incorporated an ambitious model intercomparison effort that compiled thousands of model-scenario combinations to consider low carbon development pathways. This paper explores the evidence within that database to consider decarbonization pathways for developing Asia. Overall, a comparison of the major models finds strong consistency in the transformation of the energy sector required to achieve Paris Agreement goals. This includes a rapid decline in the share of coal—a mainstay of the power sector in developing Asia— a
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Lessick, Jennifer, Bethel Tarekegne, and Rebecca O'Neil. Business Models for Coal Plant Decommissioning. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1821476.

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Gajewski, J. J., and K. E. Gilbert. Coal liquefaction model compounds. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/6518455.

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Thiem, Alrik. Introduction to Configurational Comparative Methods. Instats Inc., 2023. http://dx.doi.org/10.61700/zpzja25j07f8d469.

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The one-day workshop[b] [/b]provides a comprehensive overview of the current landscape of all three modern Configurational Comparative Methods (CCMs): Qualitative Comparative Analysis (QCA), Coincidence Analysis (CNA) and Combinational Regularity Analysis (CORA). The workshop will enhance participants' understanding of the commonalities and differences between these three CCMs and equip them with the knowledge to make an informed decision on which method to employ for their research, and the basic skills required to apply QCA, CNA and CORA. An official Instats certificate of completion and 1 E
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Thiem, Alrik. Introduction to Configurational Comparative Methods. Instats Inc., 2023. http://dx.doi.org/10.61700/hgoxefc4csqyx469.

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Abstract:
The one-day workshop[b] [/b]provides a comprehensive overview of the current landscape of all three modern Configurational Comparative Methods (CCMs): Qualitative Comparative Analysis (QCA), Coincidence Analysis (CNA) and Combinational Regularity Analysis (CORA). The workshop will enhance participants' understanding of the commonalities and differences between these three CCMs and equip them with the knowledge to make an informed decision on which method to employ for their research, and the basic skills required to apply QCA, CNA and CORA. An official Instats certificate of completion and 1 E
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7

Nur, Gazi Nazia. CoralAI: A RAG model to answer Coral-related queries. Iowa State University, 2024. https://doi.org/10.31274/cc-20250502-72.

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8

Gajewski, J. J., and K. E. Gilbert. Coal liquefaction model compounds. Progress report. Office of Scientific and Technical Information (OSTI), 1992. http://dx.doi.org/10.2172/10164974.

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Lau, Chun, and S. Niksa. An engineering model for coal devolatilization. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5500202.

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Lau, Chun, and S. Niksa. An engineering model for coal devolatilization. Office of Scientific and Technical Information (OSTI), 1989. http://dx.doi.org/10.2172/5339184.

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