Relevant bibliographies by topics / Model species

Contents

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

Academic literature on the topic 'Model species'

Author: Grafiati
Published: 4 June 2021
Last updated: 27 July 2025

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Journal articles on the topic "Model species"

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Prasad, B. Hari, G. Uday, Shweta Srivastava, and M. Raj Kumar. "Discrete Model of Two Species Neutralism with Limited Resources." Indian Journal Of Science And Technology 17, no. 31 (2024): 3253–57. http://dx.doi.org/10.17485/ijst/v17i31.1764.

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Objectives: To study the discrete model of two-species neutralism in ecology with natural growth rates and death rates. Method: The system comprises of two neural species S1 and S2 with limited resources. This model consists of two first-order non-linear coupled ordinary difference equations as its core equations. The system's biological viability is examined. Findings: Using the model equations, all potential equilibrium locations are found, and the stability requirements for each are explored. If the absolute value of each characteristic equation eigenvalue is less than one, the model is sta
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Nally, Ralph Mac, and Erica Fleishman. "Using "Indicator" Species to Model Species Richness: Model Development and Predictions." Ecological Applications 12, no. 1 (2002): 79. http://dx.doi.org/10.2307/3061138.

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Mac Nally, Ralph, and Erica Fleishman. "USING “INDICATOR” SPECIES TO MODEL SPECIES RICHNESS: MODEL DEVELOPMENT AND PREDICTIONS." Ecological Applications 12, no. 1 (2002): 79–92. http://dx.doi.org/10.1890/1051-0761(2002)012[0079:uistms]2.0.co;2.

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Rodin, E. Y., K. F. W. Lee, and J. Rosenbluth. "A species interaction model." Mathematical and Computer Modelling 10, no. 3 (1988): 229–34. http://dx.doi.org/10.1016/0895-7177(88)90026-x.

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Lei, Y., and S. Y Zhang. "Comparison and selection of growth models using the Schnute model." Journal of Forest Science 52, No. 4 (2012): 188–96. http://dx.doi.org/10.17221/4501-jfs.

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Forestmodellers have long faced the problem of selecting an appropriate mathematical model to describe tree ontogenetic or size-shape empirical relationships for tree species. A common practice is to develop many models (or a model pool) that include different functional forms, and then to select the most appropriate one for a given data set. However, this process may impose subjective restrictions on the functional form. In this process, little attention is paid to the features (e.g. asymptote and inflection point rather than asymptote and nonasymptote) of different functional forms, and to t
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Song, Naiqi, and Jintun Zhang. "Modelling the abundance of an endangered medicinal species, Phellodendron amurense: generalised linear model vs. generalised additive model." Botanica Serbica 42, no. 2 (2018): 199–208. https://doi.org/10.5281/zenodo.1468298.

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Study of relations between medicinal plant species and the environment is important in plant ecology and for conservation of medicinal plants. The generalised linear model and generalised additive model were used to describe the species response to environmental gradients exhibited by a community of Phellodendron amurense (an endangered medicinal plant species) in the Xiaolongmen Forest Park, Beijing, China. Data of species abundance and environmental variables were obtained from 25 plots measuring 10 m × 10 m. The results showed that both the generalised linear model and the generalised
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Campillo, Luke C., Anthony J. Barley, and Robert C. Thomson. "Model-Based Species Delimitation: Are Coalescent Species Reproductively Isolated?" Systematic Biology 69, no. 4 (2019): 708–21. http://dx.doi.org/10.1093/sysbio/syz072.

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Abstract A large and growing fraction of systematists define species as independently evolving lineages that may be recognized by analyzing the population genetic history of alleles sampled from individuals belonging to those species. This has motivated the development of increasingly sophisticated statistical models rooted in the multispecies coalescent process. Specifically, these models allow for simultaneous estimation of the number of species present in a sample of individuals and the phylogenetic history of those species using only DNA sequence data from independent loci. These methods h
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Wittmann, Marion E., Matthew A. Barnes, Christopher L. Jerde, Lisa A. Jones, and David M. Lodge. "Confronting species distribution model predictions with species functional traits." Ecology and Evolution 6, no. 4 (2016): 873–79. http://dx.doi.org/10.1002/ece3.1898.

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Broms, Kristin M., Mevin B. Hooten, and Ryan M. Fitzpatrick. "Model selection and assessment for multi-species occupancy models." Ecology 97, no. 7 (2016): 1759–70. http://dx.doi.org/10.1890/15-1471.1.

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Gritti, Emmanuel Stephan, Cédric Gaucherel, Maria-Veronica Crespo-Perez, and Isabelle Chuine. "How Can Model Comparison Help Improving Species Distribution Models?" PLoS ONE 8, no. 7 (2013): e68823. http://dx.doi.org/10.1371/journal.pone.0068823.

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Dissertations / Theses on the topic "Model species"

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Rasheed, Shaker M. "A reaction-diffusion model for inter-species competition and intra-species cooperation." Thesis, University of Nottingham, 2013. http://eprints.nottingham.ac.uk/13545/.

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This thesis deals with a two component reaction-diffusion system (RDS) for competing and cooperating species. We have analyse in detail the stability and bifurcation structure of equilibrium solutions of this system, a natural extension of the Lotka-Volterra system. We find seven topologically different regions separated by bifurcation boundaries depending on the number and stability of equilibrium solutions, with four regions in which the solutions are similar to those in the Lotka-Volterra system. We study RDS in the small parameter of the range $0< \lambda \ll 1 $ (fast diffusion and slow r
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Glue, Joshua Barnaby. "Engineering Allium White Rot Disease Resistance in Allium Species and Tobacco Model Species." Thesis, University of Canterbury. School of Biological Sciences, 2009. http://hdl.handle.net/10092/3513.

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Allium white rot (AWR) is a soilborne disease that seriously damages commercial cultivation of onion (Allium cepa) and garlic (Allium sativum) crops. The disease has been found everywhere onions are cultivated and at present no system of control has been found that fully prevents the occurrence of the disease. The fungus responsible for the disease, Sclerotium cepivorum, uses oxalic acid to kill Allium bulb and root tissue in growing onion and garlic plants. Research suggests recombinant oxalate oxidase and oxalate decarboxylase enzymes may be able to degrade this acid and confer resistance ag
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Borrvall, Charlotte. "Biodiversity and Species Extinctions in Model Food Webs." Doctoral thesis, Linköping : Department of Physics, Chemistry and Biology, Linköping University, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-6660.

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Dinh, Thi Vinh Ha. "Development and characterization of the Brachypodium species polyploid model." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLE024.

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La polyploïdie consiste en la duplication du génome entier et constitue une force évolutive majeure chez les eucaryotes, notamment chez les angiospermes. Les espèces du genre Brachypodium ont émergé comme une modèle intéressant des monocotylédones. Parmi ces espèces, l’allopolyploïde B. hybridum (2n = 30) a résulté de l’hybridation entre B. distachyon (2n = 10) et B. stacei (2n = 20). Les deux espèces parentales ont eu des évolutions chromosomiques assez divergentes aboutissant à ce que B. distachyon possède deux fois moins de chromosomes qui sont néanmoins deux fois plus grands que ceux de B.
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Kon, Kam King Guillaume. "Revisiting Species Sensitivity Distribution : modelling species variability for the protection of communities." Thesis, Lyon 1, 2015. http://www.theses.fr/2015LYO10194/document.

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La SSD (Species Sensitivity Distribution) est une méthode utilisée par les scientifiques et les régulateurs de tous les pays pour fixer la concentration sans danger de divers contaminants sources de stress pour l'environnement. Bien que fort répandue, cette approche souffre de diverses faiblesses sur le plan méthodologique, notamment parce qu'elle repose sur une utilisation partielle des données expérimentales. Cette thèse revisite la SSD actuelle en tentant de pallier ce défaut. Dans une première partie, nous présentons une méthodologie pour la prise en compte des données censurées dans la SS
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Venne, Simon. "Can Species Distribution Models Predict Colonizations and Extinctions?" Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/38465.

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Aim MaxEnt, a very popular species distribution modelling technique, has been used extensively to relate species’ geographic distributions to environmental variables and to predict changes in species’ distributions in response to environmental change. Here, we test its predictive ability through time (rather than through space, as is commonly done) by modeling colonizations and extinctions. Location Continental U.S. and southern Canada. Time period 1979-2009 Major taxa studied Twenty-one species of passerine birds. Methods We used MaxEnt to relate species’ geographic distribu
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Ziv, Yaron David 1960. "Effects of environmental heterogeneity on species diversity: A new process-based, multi-species, landscape simulation model (SHALOM)." Diss., The University of Arizona, 1998. http://hdl.handle.net/10150/282584.

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I designed and implemented a process-based, multi-species, spatially-explicit, object-oriented landscape simulation model that analyzes how high-level ecological complexity affects species diversity patterns (SHALOM). SHALOM has physical (landscape, habitat, cell, patch) and biological classes (population, species, community). At the local scale, populations grow continuously, affected by a community-level saturation effect, a species-habitat match, and demographic stochasticity. The global-scale processes are dispersal and catastrophic stochasticity. The model uses allometric relationships an
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Alizadeh, Shabani Afshin, and afshin alizadeh@rmit edu au. "Identifying bird species as biodiversity indicators for terrestrial ecosystem management." RMIT University. Mathematical and Geospatial Sciences, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20061116.161912.

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It is widely known that the world is losing biodiversity and primarily it is thought to be caused by anthropogenic activities. Many of these activities have been identified. However, we still lack a clear understanding of the causal relationships between human activities and the pressures they place on the environment and biodiversity. We need to know how ecosystems and individual species respond to changes in human activities and therefore how best to moderate our actions and reduce the rate of loss of biodiversity. One of the ways to detect these changes is to use indicators of e
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Patchedjiev, Stefan M. "Kinetic lattice gas model of two species in one dimension." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq24891.pdf.

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Jones, Martin Robert. "Deep metabolome annotation of the freshwater model species, Daphnia magna." Thesis, University of Birmingham, 2017. http://etheses.bham.ac.uk//id/eprint/7984/.

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In the 21st century - the era of big data science - chemical risk assessment procedures remain woefully dependent upon a suite of basic toxicological assays that offer little, if any, biochemical information pertaining to the underlying mechanism of toxicity. Metabolomics, defined as the holistic study of all naturally occurring, low molecular weight metabolites present within a biological system, holds huge potential as a tool to fill this knowledge gap, and thereby, to revolutionise the chemical risk assessment process through provision of rich molecular information . Owing to on-going chall
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Books on the topic "Model species"

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Mueller, Werner A., Monika Hassel, and Maura Grealy. Development and Reproduction in Humans and Animal Model Species. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-43784-1.

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Tworzydlo, Waclaw, and Szczepan M. Bilinski, eds. Evo-Devo: Non-model Species in Cell and Developmental Biology. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23459-1.

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United States. Food Safety and Inspection Service. Generic HACCP model for mechanically separated (species)/mechanically deboned poultry. United States Dept. of Agriculture, Food Safety and Inspection Service, 1999.

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Chang, C. T. A Model of Pellet Ablation with a Multi-Species Ablatant. Riso National Laboratory, 1988.

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United States. Food Safety and Inspection Service., ed. Generic HACCP model for mechanically separated (species)/mechanically deboned poultry. United States Dept. of Agriculture, Food Safety and Inspection Service, 1999.

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Glen, John J. A mixed integer programming model of a single species fishery. Department of Business Studies, University of Edinburgh, 1990.

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United States. Food Safety and Inspection Service. Generic HACCP model for mechanically separated (species)/mechanically deboned poultry. U.S. Dept. of Agriculture, Food Safety and Inspection Service, 1997.

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United States. Food Safety and Inspection Service. Generic HACCP model for mechanically separated (species)/mechanically deboned poultry. United States Dept. of Agriculture, Food Safety and Inspection Service, 1999.

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United States. Food Safety and Inspection Service., ed. Generic HACCP model for mechanically separated (species)/mechanically deboned poultry. United States Dept. of Agriculture, Food Safety and Inspection Service, 1999.

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Ann-Marie, Trame, and Construction Engineering Research Laboratories (U.S.), eds. The Fort Hood avian simulation model: A dynamic model of ecological influences on two endangered species. US Army Corps of Engineers, Construction Engineering Research Laboratories, 1997.

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Book chapters on the topic "Model species"

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Agustín-Aquino, Octavio Alberto, Julien Junod, and Guerino Mazzola. "First-Species Model." In Computational Counterpoint Worlds. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-11236-7_2.

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Ruth, Matthias, and Bruce Hannon. "Two-Species Colonization Model." In Modeling Dynamic Biological Systems. Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-0651-4_32.

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Hannon, Bruce, and Matthias Ruth. "Two-Species Colonization Model." In Modeling Dynamic Biological Systems. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05615-9_34.

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Flaaten, Ola. "A Two Species Model." In The Economics of Multispecies Harvesting. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83395-3_2.

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Flaaten, Ola. "A Three Species Model." In The Economics of Multispecies Harvesting. Springer Berlin Heidelberg, 1988. http://dx.doi.org/10.1007/978-3-642-83395-3_3.

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Flavell, Richard. "Role of Model Plant Species." In Plant Genomics. Humana Press, 2009. http://dx.doi.org/10.1007/978-1-59745-427-8_1.

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Lewis, Jo E., and Francis J. P. Ebling. "Hamsters as Model Species for Neuroendocrine Studies." In Model Animals in Neuroendocrinology. John Wiley & Sons Ltd, 2018. http://dx.doi.org/10.1002/9781119391128.ch7.

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Griebeler, Eva M., and Eckhard Gottschalk. "Conservation of the Grey Bush Cricket Platycleis albopunctata (Orthoptera: Tettigoniidae) Under Differing Habitat Conditions: Implications From an Individual-Based Model." In Relict Species. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92160-8_23.

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Hodges, Geoff, Steve Gutsell, Nadine Taylor, et al. "Invertebrate Model Species in AOP Development." In A Systems Biology Approach to Advancing Adverse Outcome Pathways for Risk Assessment. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-66084-4_5.

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Cunningham, B. E., Samreen Siddiqui, and Susanne M. Brander. "How to Identify a Model Species." In Aquatic Ecotoxicology. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-53130-9_5.

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Conference papers on the topic "Model species"

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R K, Veeresha, Shilpa Karegoudra, Bhavin Kumar, and Pavan Pavan. "Classification of Jackfruit Species Using Deep Learning Model." In 2024 2nd International Conference on Recent Advances in Information Technology for Sustainable Development (ICRAIS). IEEE, 2024. https://doi.org/10.1109/icrais62903.2024.10811721.

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Davis, Carter, Alexey Lange, Sadie Blaszczyk, Heidi Heldt, Nicole Vander Schaaf, and José Manjarrés. "Identification of Microbial Species Using an Instance Segmentation Model." In 2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). IEEE, 2024. https://doi.org/10.1109/bibm62325.2024.10822108.

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Rajan, S. Sundar, Malathy Jawahar, and A. Amalin Prince. "Vision Transformer-based Deep Learning Model for Leather Species Identification." In 2024 11th International Conference on Soft Computing & Machine Intelligence (ISCMI). IEEE, 2024. https://doi.org/10.1109/iscmi63661.2024.10851692.

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Zhu, Ruoning, Zongqi Yao, and Guoqi Chai. "ITPNet: A Few-Shot Learning Model for Multi-Species Individual Tree Species Classification Using UAV Lidar and Hyperspectral Data." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640885.

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Hasegawa, Tatsuhito, and Yuta Nakano. "Data Augmentation using Foundation model for Fine-grained Fish Species Identification." In 2024 IEEE 13th Global Conference on Consumer Electronics (GCCE). IEEE, 2024. https://doi.org/10.1109/gcce62371.2024.10760814.

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Singh, Gurpreet, Kalpna Guleria, and Shagun Sharma. "A Pre-trained EfficientNetV2 Deep Learning Model for Birds Species Classification." In 2024 3rd International Conference for Advancement in Technology (ICONAT). IEEE, 2024. https://doi.org/10.1109/iconat61936.2024.10774953.

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Sukyen, Piyawan, Khachonkit Chuiad, and Parkpoom Chaisiriprasert. "Sea Turtles Species Classification With a Modified ResNet-50 Deep Learning Model." In 2024 8th International Conference on Information Technology (InCIT). IEEE, 2024. https://doi.org/10.1109/incit63192.2024.10810619.

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Islam, Md Sariful, Jubayer Ahmed Shawon, Wahidur Rahman, et al. "Deep Learning Approaches for Mango Species Classification: Performance Metrics and Model Comparisons." In 2024 27th International Conference on Computer and Information Technology (ICCIT). IEEE, 2024. https://doi.org/10.1109/iccit64611.2024.11022108.

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Chauhan, Yashika, Mudita Uppal, Deepali Gupta, Sapna Juneja, Punit Gupta, and Shilpa Saini. "Fine-Tuned EfficientNetB0 Model for Accurate Bird Species Identification and Multi-Classification." In 2025 7th International Conference on Signal Processing, Computing and Control (ISPCC). IEEE, 2025. https://doi.org/10.1109/ispcc66872.2025.11039315.

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Yang, Heng, and Ke Li. "MP-RNA: Unleashing Multi-species RNA Foundation Model via Calibrated Secondary Structure Prediction." In Findings of the Association for Computational Linguistics: EMNLP 2024. Association for Computational Linguistics, 2024. http://dx.doi.org/10.18653/v1/2024.findings-emnlp.304.

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Reports on the topic "Model species"

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Garton, Byron. Threatened and Endangered Species Model user’s guide. Engineer Research and Development Center (U.S.), 2019. http://dx.doi.org/10.21079/11681/33509.

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CHUNHONG LI, BRUCE A. ROBINSON. MULTIPLE SPECIES AND INGROWTH MODEL IN FEHM. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/776516.

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Scannapieco, Anthony. Derivation of a Multi-Species Mix Model. Office of Scientific and Technical Information (OSTI), 2023. http://dx.doi.org/10.2172/1996162.

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Kang, Sang-Wook. Species-diffusion phenomena in glass: A one-dimensional, transient model. Office of Scientific and Technical Information (OSTI), 1988. http://dx.doi.org/10.2172/6815366.

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Jung, Jacob, Michael Guilfoyle, Austin Davis, Christina Saltus, Eric Britzke, and Richard Fischer. Threatened, endangered, and at-risk species for consideration into climate change models in the Northeast. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42143.

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This special report provides a selection process for choosing priority species using the specific focus of high-elevation, forested habitats in the North Atlantic to demonstrate the process. This process includes criteria for choosing invasive species to incorporate into models, given the predicted spread of invasive plant species because of climate change. Discussed in this report are the US Army Corps of Engineers’ Threatened and Endangered Species Team portal, the US Fish and Wildlife Service’s Information for Planning and Consultation Portal, the nonprofit organization Partners in Flight’s
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Aiello-Lammens, Matthew E., Robert Anderson, Mary E. Blair, et al. Species Distribution Modeling for Conservation Educators and Practitioners. American Museum of Natural History, 2023. http://dx.doi.org/10.5531/cbc.ncep.0184.

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Models that predict distributions of species by combining known occurrence records with digital layers of environmental variables have much potential for application in conservation. Through using this module, teachers will enable students to develop species distribution models, to apply the models across a series of analyses, and to interpret predictions accurately. In addition to its original components, this module features an updated and condensed synthesis document ("A Brief Introduction to Species Distribution Modeling for Conservation Educators and Practitioners," which provides theoret
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Altman, Safra, Krystyna Powell, and Marin Kress. Marine bioinvasion risk : review of current ecological models. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/47820.

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This special report describes the first phase of developing an ecological model to inform marine bioinvasion risks in the United States. The project responds to the needs of the US Army Corps of Engineers (USACE) Aquatic Nuisance Species Research Program, or ANSRP, which addresses all problematic invasive aquatic species affecting the nation’s waterways, infrastructure, and associated resources, and the needs of the USACE navigation and dredging programs. Multiple port-deepening studies are either in progress or under consideration, and all must address ecological risk. Understanding whether a
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Kepler, G. M., H. T. Tran, and H. T. Banks. Reduced Order Model Compensator Control of Species Transport in a CVD Reactor. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada451413.

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Herman, Brook, Todd Swannack, Molly Reif, Nathan Richards, Tomma Barnes, and Candice Piercy. Framework for a general restoration model for ecosystems with anadromous fish for U.S. Army Corps of Engineers. Phase 1 : conceptual model development. Engineer Research and Development Center (U.S.), 2023. http://dx.doi.org/10.21079/11681/46645.

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Salmonid species are critically important ecologically, socially, and economically for North American coastal regions. Alterations to the structure (e.g., channelization) and function (e.g., sediment transport) of estuaries, rivers, and streams have greatly impacted these species, many are now listed as federally threatened or endangered. As part of environmental compliance procedures and policy, the U.S. Army Corps of Engineers (USACE) is required to assess the impacts and/or benefits of proposed water resource projects (e.g., levee maintenance, ecosystem restoration, etc.) to the environment
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Thomas, J. K. Photochemistry on, and Nature of Adsorbed Species on Colloidal Clay and Model Clay Systems. Defense Technical Information Center, 1987. http://dx.doi.org/10.21236/ada186099.

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