Academic literature on the topic 'Biophysical modelling'

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Journal articles on the topic "Biophysical modelling"

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Yavuz, Mehmet, and Fuat Usta. "Importance of modelling and simulation in biophysical applications." AIMS Biophysics 10, no. 3 (2023): 258–62. http://dx.doi.org/10.3934/biophy.2023017.

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<abstract> <p>Mathematical modelling and simulation in biophysics and its applications in terms of both theoretical and biological/physical/ecological point of view arise in a number of research problems ranging from physical and chemical processes to biomathematics and life science. As known, the modeling of a biophysical system requires the analysis of the different interactions occurring among the different components of the system. This editorial article deals with the topic of this special issue, which is devoted to the new developments in the modelling and simulation in bioph
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Gango, Sergei, Svetlana Pan'kova, Vladimir Solovyev, Alexander Vanin, and Mikhail Yanikov. "TEACHING METHODS IN THE UNIVERSITY COURSE “BIOPHYSICS”." SOCIETY. INTEGRATION. EDUCATION. Proceedings of the International Scientific Conference 1 (May 25, 2018): 103. http://dx.doi.org/10.17770/sie2018vol1.3206.

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The article presents some methods and results of experimental teaching biophysics at Pskov State University (Russian Federation). The goal of any university is to train highly qualified specialists. To achieve this aim, the authors suggest following interdisciplinary approach to the educational process. Some topics of the lecture presentations, video clips and demonstration educational experiments as well as examples of computer modelling of biophysical processes are considered. Subjects of the real and virtual biophysical, biological and medical experimental tasks for students working in an e
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Dennis, J. A. "Editorial - Biophysical Modelling of Radiation Effects." Radiation Protection Dosimetry 46, no. 2 (1993): 75–78. http://dx.doi.org/10.1093/oxfordjournals.rpd.a081658.

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Dahms, Thorsten, Sylvia Seissiger, Christopher Conrad, and Erik Borg. "MODELLING BIOPHYSICAL PARAMETERS OF MAIZE USING LANDSAT 8 TIME SERIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 7, 2016): 171–75. http://dx.doi.org/10.5194/isprs-archives-xli-b2-171-2016.

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Open and free access to multi-frequent high-resolution data (e.g. Sentinel – 2) will fortify agricultural applications based on satellite data. The temporal and spatial resolution of these remote sensing datasets directly affects the applicability of remote sensing methods, for instance a robust retrieving of biophysical parameters over the entire growing season with very high geometric resolution. <br><br> In this study we use machine learning methods to predict biophysical parameters, namely the fraction of absorbed photosynthetic radiation (FPAR), the leaf area index (LAI) and t
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Dahms, Thorsten, Sylvia Seissiger, Christopher Conrad, and Erik Borg. "MODELLING BIOPHYSICAL PARAMETERS OF MAIZE USING LANDSAT 8 TIME SERIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B2 (June 7, 2016): 171–75. http://dx.doi.org/10.5194/isprsarchives-xli-b2-171-2016.

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Open and free access to multi-frequent high-resolution data (e.g. Sentinel – 2) will fortify agricultural applications based on satellite data. The temporal and spatial resolution of these remote sensing datasets directly affects the applicability of remote sensing methods, for instance a robust retrieving of biophysical parameters over the entire growing season with very high geometric resolution. <br><br> In this study we use machine learning methods to predict biophysical parameters, namely the fraction of absorbed photosynthetic radiation (FPAR), the leaf area i
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Jenkins, Meaghan E., Michael Bedward, Owen Price, and Ross A. Bradstock. "Modelling Bushfire Fuel Hazard Using Biophysical Parameters." Forests 11, no. 9 (2020): 925. http://dx.doi.org/10.3390/f11090925.

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Environmental gradients or biophysical parameters such as climate, topography and geology drive landscape-scale vegetation structure, species distribution and productivity. These gradients have the potential to provide detailed, fine-scale spatial prediction of the accumulation of bushfire fuels and hence fire hazard by elucidating patterns in field information in a consistent and repeatable way. Rapid visual assessment of bushfire fuel hazard via ratings provides fire and land management agencies with a measure of the probability of first attack success and general suppression difficulty of b
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Perthame, Benoit, Peter Markowich, and Jorge P. Zubelli. "Mathematical methods and modelling of biophysical phenomena." Mathematical and Computer Modelling 53, no. 7-8 (2011): 1359–62. http://dx.doi.org/10.1016/j.mcm.2010.07.012.

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Gérard, J. P., and C. C. Ling. "Biophysical modelling: implications for conformation radiation treatment." Radiotherapy and Oncology 29, no. 2 (1993): 165–66. http://dx.doi.org/10.1016/0167-8140(93)90241-y.

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Padarian, J., B. Minasny, and A. B. McBratney. "Online machine learning for collaborative biophysical modelling." Environmental Modelling & Software 122 (December 2019): 104548. http://dx.doi.org/10.1016/j.envsoft.2019.104548.

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Holwill, M. E. J., G. F. Foster, T. Hamasaki, and P. Satir. "Biophysical aspects and modelling of ciliary motility." Cell Motility and the Cytoskeleton 32, no. 2 (1995): 114–20. http://dx.doi.org/10.1002/cm.970320209.

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Dissertations / Theses on the topic "Biophysical modelling"

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Lorz, Alexander Stephan Richard. "Partial differential equations modelling biophysical phenomena." Thesis, University of Cambridge, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.609381.

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CARANTE, MARIO PIETRO. "Biophysical modelling for cancer ion therapy." Doctoral thesis, Università degli studi di Pavia, 2017. http://hdl.handle.net/11571/1203385.

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Padarian, Campusano José Sergei. "Provision of soil information for biophysical modelling." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/12278.

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This thesis is concerned with the generation of a framework for addressing soil data needs, specifically for biophysical modelling. The soil system is an important ecosystem actor, supporting most of the worlds' food production and being the major terrestrial carbon stocks, thereby information about it is crucial for management and policy making. To provide this information, it is important to deliver information of the highest possible quality; thus the need to define guidelines to standardise, not only the methodologies, but the minimum requirements that information must meet. In this proje
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Dale, Michael Anthony Joseph. "Global Energy Modelling : A Biophysical Approach (GEMBA)." Thesis, University of Canterbury. Mechanical Engineering, 2010. http://hdl.handle.net/10092/5156.

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The aim of this thesis is to take a broad conceptual overview of the global energy system and investigate what the aims of sustainability might entail for such a system. The work presented uses a biophysical economic approach in that the dynamics of the global economy are investigated using the tool box of the physical sciences, including the laws of thermodynamics and the methods of energy analysis. Modern society currently uses approximately 500 exajoules (EJ = 10^18 J) of total primary energy supply (TPES) each year. This energy consumption has been increasing at roughly 2% per
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Lowe, Martin. "Modelling landfill as a complex biophysical technology." Thesis, Cranfield University, 1998. http://dspace.lib.cranfield.ac.uk/handle/1826/10637.

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Concerns regarding climate change are becoming a driver behind legislation at both UK and EU levels, and also on the wider, planetary scale This is the case with emissions from landfills where the release of methane is being targeted for reduction This thesis uses an integrative approach, incorporating concepts of hierarchy from systems theory, to model landfill as a complex biophysical technology It assesses the contribution to carbon deposition and global warming of landfill through changes to that technology itself and through changes in the waste stream caused by potential waste policies T
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TELLO, CAJIAO JOHN JAMES. "Biophysical modelling of radiation-induced chromosome aberrations." Doctoral thesis, Università degli studi di Pavia, 2019. http://hdl.handle.net/11571/1291026.

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Hanlon, Michael Richard. "Molecular modelling and biophysical characterisation of three proteins." Thesis, Birkbeck (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.326154.

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Berardi, Andrea. "Biophysical modelling of the Astroni Nature Reserve, Naples, Italy." Thesis, University College London (University of London), 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321946.

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Kragt, Marit Ellen. "An integrated assessment approach to linking biophysical modelling and economic valuation." Phd thesis, Canberra, ACT : The Australian National University, 2010. http://hdl.handle.net/1885/8037.

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Changes to land use and land management in Australian catchments have led to pressures on natural resources, and concerns over water quality and ecosystem health in catchment rivers and estuaries. To increase the efficiency of natural resource management (NRM) policies that address these concerns, decision makers require information about the environmental impacts, as well as the marginal costs and benefits associated with policy decisions. Including cost-benefits estimates in NRM policy assessment provides decision makers with economic information about the trade-offs between alternative NRM
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Šmít, Daniel. "Analysis of dynamical interactions of axon shafts and their biophysical modelling." Thesis, Paris 6, 2017. http://www.theses.fr/2017PA066095/document.

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La fasciculation des axones joue un rôle essentiel dans le développement des réseaux neuronaux. Cependant, la dynamique de la fasciculation axonale, ainsi que les mécanismes biophysiques à l’œuvre dans ce processus, demeurent encore très mal compris. En vue d'étudier les mécanismes de fasciculation d'axones ex vivo, nous avons développé un système modèle simple, constitué par des explants d'épithélium olfactif de souris embryonnaires en culture, à partir desquels poussent les axones des neurones sensoriels olfactifs. Grâce à une étude en vidéomicroscopie, nous avons observé que ces axones inte
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Books on the topic "Biophysical modelling"

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1937-, Chadwick K. H., Moschini G, Varma Matesh N, Istituto nazionale di fisica nucleare., United States. Dept. of Energy. Office of Health and Environmental Research., and Commission of the European Communities., eds. Biophysical modelling of radiation effects. A. Hilger, 1992.

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Michael, Kraus. Structured biological modelling: A new approach to biophysical cell biology. CRC Press, 1995.

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Dössel, Olaf. World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany: Vol. 25/4 Image Processing, Biosignal Processing, Modelling and Simulation, Biomechanics. Springer-Verlag Berlin Heidelberg, 2009.

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International Symposium on Mathematical and Computational Biology. BIOMAT 2006: International Symposium on Mathematical and Computational Biology, Manaus, Brazil, 27-30 November 2006. World Scientific, 2007.

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L, Rivail J., and Société française de chimie. Division de chimie physique., eds. Modelling of molecular structures and properties: Proceedings of the 44th International Meeting of Physical Chemistry on modeling of molecular structures and properties in physical chemistry and biophysics. Elsevier, 1990.

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Huffaker, Ray, Marco Bittelli, and Rodolfo Rosa. Phenomenological Modelling. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198782933.003.0009.

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Detecting causal interactions among climatic, environmental, and human forces in complex biophysical systems is essential for understanding how these systems function and how public policies can be devised that protect the flow of essential services to biological diversity, agriculture, and other core economic activities. Convergent Cross Mapping (CCM) detects causal networks in real-world systems diagnosed with deterministic, low-dimension, and nonlinear dynamics. If CCM detects correspondence between phase spaces reconstructed from observed time series variables, then the variables are deter
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Biophysical Approaches Determining Ligand Binding to Biomolecular Targets: Detection, Measurement and Modelling. Royal Society of Chemistry, The, 2011.

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Clarke, Andrew. Energy flow in organisms. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199551668.003.0004.

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An organism is an open thermodynamic system exchanging both energy and materials with its environment. Organisms exchange energy with their environment by radiation, conduction, convection and evaporation of water. The relative importance of these varies with the organism and its situation. Newton’s Law of Cooling is a simplification that is useful only for warm endotherms in a still, cool environment. For all other circumstances a full biophysical treatment is necessary. Flows of chemical potential energy can be captured by a balanced energy budget. A full description of the energy balance of
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(Editor), G. Moschini, K. H. Chadwick (Editor), Istituto Nazionale Di Fisica Nucleare (Corporate Author), United States Department of Energy Office of Health and Environmental Research (Corporate Author), and Matesh N. Varma (Editor), eds. Biophysical Modelling of Radiation Effects: Commission of the European Communities Us Department O F Energy Istituto Nazionale Di Fisica Nucleare (Eur (Series), No. 13848 En.). Institute of Physics Publishing, 1992.

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Protein modelling with bioinformatics and biophysics. Springer, 2006.

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Book chapters on the topic "Biophysical modelling"

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Gallego, Alejandro. "Biophysical Models: An Evolving Tool in Marine Ecological Research." In Modelling Complex Ecological Dynamics. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-05029-9_20.

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Hazeu, Gerard, Berien Elbersen, Erling Andersen, Bettina Baruth, Kees Diepen, and Marc Metzger. "A Biophysical Typology in Agri-environmental Modelling." In Environmental and Agricultural Modeling:. Springer Netherlands, 2009. http://dx.doi.org/10.1007/978-90-481-3619-3_7.

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Whitehead, Paul G. "Biophysical Modelling of the Ganges, Brahmaputra, and Meghna Catchment." In Ecosystem Services for Well-Being in Deltas. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-71093-8_13.

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Coelho, Santiago, Jose M. Pozo, Sune N. Jespersen, and Alejandro F. Frangi. "Optimal Experimental Design for Biophysical Modelling in Multidimensional Diffusion MRI." In Lecture Notes in Computer Science. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32248-9_69.

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Pias, Sally C. "Biophysical Modelling for Insight into Oxygen Diffusion, Distribution, and Measurement." In Advances in Experimental Medicine and Biology. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-67458-7_2.

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Varela, Marta, Jichao Zhao, and Oleg V. Aslanidi. "Determination of Atrial Myofibre Orientation Using Structure Tensor Analysis for Biophysical Modelling." In Functional Imaging and Modeling of the Heart. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-38899-6_50.

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Muir, S. K., D. Chen, D. Rowell, and J. Hill. "Development and validation of a biophysical model of enteric methane emissions from Australian beef feedlots." In Modelling nutrient digestion and utilisation in farm animals. Wageningen Academic Publishers, 2011. http://dx.doi.org/10.3920/978-90-8686-712-7_45.

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Mulligan, Mark, Sophia Burke, Caitlin Douglas, and Arnout van Soesbergen. "Methodologies to Assess and Map the Biophysical Effectiveness of Nature Based Solutions." In Water Security in a New World. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25308-9_4.

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AbstractNature based solutions to mitigate flooding (Natural Flood Management, NFM) can help address persistent flooding on smaller rivers that are beyond the reach of governmental grey infrastructure flood protection schemes and can also contribute to ‘green-grey’ solutions for larger rivers, recognising the many co-benefits of such nature-based solutions for nature and society. It is, however, vital that NFM interventions are carefully designed and fully tested for their effectiveness and cost-effectiveness so as not to waste valuable flood mitigation resources and to ensure that these solut
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Aleynik, Dmitry, Thomas Adams, Keith Davidson, et al. "Biophysical Modelling of Marine Organisms: Fundamentals and Applications to Management of Coastal Waters." In Environmental Management of Marine Ecosystems. CRC Press, 2018. http://dx.doi.org/10.1201/9781315153933-3.

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Bischofs, Ilka B. "Cell and Tissue Organization in Soft Materials: Insight from Mathematical and Biophysical Modelling." In Cell and Tissue Engineering. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21913-9_6.

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Conference papers on the topic "Biophysical modelling"

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WACKERMANN, JIŘÍ. "EXPERIENCE OF TIME PASSAGE: PHENOMENOLOGY, PSYCHOPHYSICS, AND BIOPHYSICAL MODELLING." In Proceedings of the ZiF Interdisciplinary Research Workshop. WORLD SCIENTIFIC, 2005. http://dx.doi.org/10.1142/9789812701596_0011.

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"Prediction of extreme geophysical, industrial and biophysical flows using particle methods." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.plenary.cleary.

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Flemming, Brian K. "Probabilistic risk assessment modelling for laser directed energy weapon systems." In ILSC 2023: Proceedings of the International Laser Safety Conference. Laser Institute of AmericaLIA, 2023. http://dx.doi.org/10.2351/7.0001439.

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An MPE-based assessment for a Laser Directed Energy Weapon (LDEW) system with a High Energy Laser (HEL) output will likely result in an impracticably large Laser Hazard Zone. An alternative probabilistic evaluation of the potential hazard may result in less onerous restrictions on the permitted laser firing envelope. However, a risk-based assessment similar to that used in the UK for target designator and rangefinder systems has yet to be developed for LDEW-type laser hazards. The probabilistic technique accounts for the entire risk chain from laser source to irradiated observer. Unlike a dete
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"Integrated modelling for understanding watershed development impacts on social and biophysical systems." In 19th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2011. http://dx.doi.org/10.36334/modsim.2011.g3.merritt.

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"A method to improve the efficiency of calibrating biophysical models for pastures." In 25th International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand, 2023. http://dx.doi.org/10.36334/modsim.2023.thomas105.

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"Integrating biophysical and whole-farm economic modelling of agricultural climate change mitigation." In 21st International Congress on Modelling and Simulation (MODSIM2015). Modelling and Simulation Society of Australia and New Zealand, 2015. http://dx.doi.org/10.36334/modsim.2015.b3.dumbrell.

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Lazzari, Laura, Patrick T. McCarthy, Jonathan Martin, and Simon R. Schultz. "Biophysical Modelling of the Triadic Synapse in the Lateral Geniculate Nucleus." In The 6th World Congress on Electrical Engineering and Computer Systems and Science. Avestia Publishing, 2020. http://dx.doi.org/10.11159/icbes20.126.

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"High-resolution continental scale modelling of Australian wheat yield; biophysical and management drivers." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.b2.king.

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Loftness, Bryn C., Ira Bernstein, Carole A. McBride, Nick Cheney, Ellen W. McGinnis, and Ryan S. McGinnis. "Preterm Preeclampsia Risk Modelling: Examining Hemodynamic, Biochemical, and Biophysical Markers Prior to Pregnancy." In 2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2023. http://dx.doi.org/10.1109/embc40787.2023.10340404.

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Postnikov, Eugene B., Olga V. Titkova, and Anastasia I. Lavrova. "Scaled FitzHugh-Nagumo equations as building blocks for modelling dynamics adjusted to measurable biophysical data." In 2017 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS). IEEE, 2017. http://dx.doi.org/10.1109/iciibms.2017.8279687.

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Reports on the topic "Biophysical modelling"

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Verburg, Peter H., Žiga Malek, Sean P. Goodwin, and Cecilia Zagaria. The Integrated Economic-Environmental Modeling (IEEM) Platform: IEEM Platform Technical Guides: User Guide for the IEEM-enhanced Land Use Land Cover Change Model Dyna-CLUE. Inter-American Development Bank, 2021. http://dx.doi.org/10.18235/0003625.

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The Conversion of Land Use and its Effects modeling framework (CLUE) was developed to simulate land use change using empirically quantified relations between land use and its driving factors in combination with dynamic modeling of competition between land use types. Being one of the most widely used spatial land use models, CLUE has been applied all over the world on different scales. In this document, we demonstrate how the model can be used to develop a multi-regional application. This means, that instead of developing numerous individual models, the user only prepares one CLUE model applica
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